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Issue
1, Volume 7, January 2008
Title of the Paper: Constraint
Satisfaction Problem Using Modified Branch and Bound Algorithm
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Authors: Azlinah
Mohamed, Marina Yusoff, Itaza Afiani Mohtar, Sofianita Mutalib, Shuzlina
Abdul Rahman
Abstract: A constraint satisfaction problem (CSP) involves assigning possible
values to a set of variables without defying any constraints. There are
various techniques available to solve or give partial solution to CSP. This
paper presents a modification of branch and bound algorithm, which is used to
solve a constraint satisfaction problem in map colouring problem. There are
two constraints involved which are only three colours are allowed to be used
and adjacent regions in the map must not be of the same colour. The modified
branch and bound algorithm uses back jumping when it encounters a dead-end in
the search. Static variable ordering was also applied to aid the searching
process. The modified branch and bound algorithm shows a better result in
terms of the number of nodes instantiated and the reduced number of
backtracking at dead ends. The result illustrated that the modified branch
and bound algorithm with the use of variable ordering technique is better if
compared to backjumping. Thus, it is concluded that the modified branch and
bound algorithm would improve constraint satisfaction problem.
Keywords: Backjumping, Branch and Bound Algorithm, Constraint Satisfaction
Problem, and Static Variable Ordering
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Title of the Paper: An
Application of Type-2 Fuzzy Notions in Website Structures Selection:
Utilizing Extended TOPSIS Method
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Authors: Hamed Qahri
Saremi, Gholam Ali Montazer
Abstract: Giving more effectiveness to e-commerce sites increases customer
satisfaction as visitors can navigate the website easier and find their
targets in less time and cost. With the development of web content, the
structure of a website becomes more complex and critical to both web
designers and users in a way that has made the prioritizing of various
options of website structure a pivotal decision making problem incorporating
large uncertainty in judgment. Finding a response to such a need, TOPSIS, a
conventional MADM technique, had been a mere remedy for years, solving the
problems with a more or less adequate accuracy. In an aspiring step toward an
improvement in this method, Fuzzy TOPSIS method, a combination of ordinary
TOPSIS method and Fuzzy theory, could heal some of shortcomings of
uncertainties and ordinary TOPSIS in decision making. However there are still
lots of occasions in which decision making is faced with lots of shadowiness
making the Fuzzy TOPSIS method not sufficiently receptive. As a sensible
response to this drawback, in this paper, we utilize a brand-new extension to
TOPSIS and Fuzzy TOPSIS methods, based on type-2 fuzzy notions with ability
to cope with type-2 fuzzy environment and data incorporating much more
fuzziness in decision making. We apply this method to a vague case of the
real world and discuss its results against the other previously-developed
TOPSIS methods.
Keywords:
Decision Making; Website Structure; TOPSIS; Type-2 Fuzzy Sets; Interval
Valued Fuzzy Sets; MADM; Fuzzy TOPSIS; IVF-TOPSIS
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Title of the Paper: A
Novel Robust Watermarking Technique Using IntDCT Based AC Prediction
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Authors: Kuo-Ming Hung
Abstract: Because of the blocking artifacts resulted from 8x8 Discrete Cosine
Transform (DCT) , most watermarking technologies have been proposed using DCT
whose image quality was not very good. In 1990, Gonzales et al. described a
technique which predicts a few low frequency AC coefficients. The AC
predictor uses the dequantized DC values of a 3x3 neighborhood of 8x8 blocks
to predict the AC values in the center block. Wang proposed a data hiding
scheme using the AC prediction technology in 2005. But it is unable to be
suitable for the image of all types to predict AC coefficients accurately. We
propose a new watermarking system by using the technologies of 4x4 integer
DCT transform and adaptive AC estimation. We use 4x4 INTDCT transform to
reduce blocking artifacts caused from 8x8 DCT transform and improve
Imperceptibility and watermark capacity greatly. Moreover, we utilize AC
prediction value as error-checking code to enhance robustness of
watermark.
Keywords:
Watermark; DCT; IntDCT; AC prediction; H.264
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Title of the Paper:
Implementation Feasibility of Convex Recursive Deletion Regions Using
Multi-Layer Perceptrons
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Authors: Che-Chern Lin
Abstract: A constructive algorithm to implement convex recursive deletion
regions via two-layer perceptrons has been presented in a recent study. In
the algorithm, the absolute values of the weights become larger and larger
when the number of nested layers of a convex recursive deletion region
increases. In addition, the absolute values of the weights are determined
according to the complexity of the structure of the convex recursive deletion
region. More complicated convex recursive deletion regions result in larger
values of weights. Besides, the constructive procedure is needed to get the
parameters (weights and thresholds) for the neural networks. In this paper,
we propose a simple three-layer network structure to implement the convex
recursive deletion regions in which all weights of the second and third
layers are all 1’s and the thresholds for the nodes in the second layer are
pre-determined according to the structures of the convex recursive deletion
regions. This paper also provides the activation function for the output
node. In brief, all of parameters (weights and activation functions) in the
proposed structure are pre-determined and no constructive algorithm is needed
for solving the convex recursive deletion region problems. We prove the
feasibility of the proposed structure and give an illustrative example to
demonstrate how the proposed structure implements the convex recursive
deletion regions. Finally, we provide the conceptual diagram of the hardware
implementation of the proposed network structure.
Keywords:
Multi-layer perceptrons, nested decision region, convex recursive deletion
region, hardware implementation.
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Title of the Paper:
Construction of Virtual Backbone on Growth-Bounded Graph with Variable
Transmission Range
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Authors: Yanjing Sun,
Xiangping Gu, Jiansheng Qian
Abstract: Virtual backbone has been used extensively in various aspects for
wireless ad hoc or sensor networks recently. We propose an approximation
solution to construct a virtual backbone based on a more generalized and
realistic model of polynomial bounded growth. A localized distributed
algorithm of MCDS_GBG for computing a Minimum Connected Dominating Sets as
backbone in the growth-bounded graph is presented. This approach consists of
three stages: firstly construct an MIS by network decomposition scheme;
secondly compute a minimum dominating set in 2-separated collection with r
transmission range and finally use Marking process and ruling k to reduce the
virtual backbone with 3r transmission range. The computed Connected
Dominating Set guarantees a constant stretch factor on the length of a
shortest path and induces a subgraph of constant degree while the nodes only
require direct neighborhood information. The efficiency of our approach is
confirmed through both theoretical analysis and comparison study.
Keywords:
Virtual backbone; Growth-bounded graph; Connected dominating sets; Maximal
independent sets; Wireless ad hoc sensor network; Network decomposition
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Issue
2, Volume 7, February 2008
Title of the Paper: An
Algorithm Based on Core Characteristic Extraction of Watermelon Seeds by
Automated Separating System
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Authors: Yong Sun, Yun
Bai, Lihong Gang, Qiangguo Pu, Nikos Mastorakis
Abstract: The algorithm of extracting a series of characteristic values,
taking the flat objects, seeds, as the experiment is applied into the
auto-distinguishing seeds system software successfully. It fulfills the blank
in this area. It shows it is practical for the machine to distinguish the
flat objects with the equipment visual. It designs and realizes the new
algorithm of the length of orthogonal long and minor axis, the degree of
connecting superficial pattern and the area; brings forward the concept of
the coverage degree of black region and the way to distinguish different
colorful objects with the distribution difference of histogram gradation. The
system software has a very bright future. It is meaningful to the
distinguishing objects areas.
Keywords:
long and short axis, the degree of connecting surface patterns, the coverage
degree of black region, core characteristic extraction, watermelon seeds
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Title of the Paper: Fast
Pre-authentication with Minimized Overhead and High Security for WLAN Handoff
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Authors: Hung-Yu Chien,
Tzu-Hang Hsu, Yuan-Liang Tang
Abstract: User mobility in WLANs becomes more and more popular because of
wide deployment of WLANs and numerous applications on it. Some of these
applications, for example multimedia applications, require fast handoffs
among access points to maintain the quality of service. In order to support
multimedia applications for roaming users, IEEE 802.11i defines
pre-authentication to reduce the re-authentication delay. The primary
drawback of IEEE 802.11i pre-authentication is that the full 802.1x/EAP
authentication consumes too much overhead. In this paper, we propose a new
fast pre-authentication scheme that greatly improves the efficiency and
achieves high security level.
Keywords:
Pre-authentication, fast handoff, wireless security, IEEE 802.11i.
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Title of the Paper:
Fractional Fourier Transform Based Key Exchange for Optical Asymmetric Key
Cryptography
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Authors: Aloka Sinha
Abstract: Recently several optical encryption techniques have been proposed
for two-dimensional data. These techniques use random phase masks, jigsaw
transforms, digital signatures, and linear transforms like the Fourier
transforms, the fractional Fourier transform and the Fresnel transform. The
strength of these encryption techniques is dependent on the size of the key
but is strongly limited by the security linked with the exchange of the
secret key. We propose a new technique, based on the Diffie-Hellman protocol,
in which the key can be exchanged with high security. The Diffie-Hellman
protocol allows two users to exchange a secret key over an insecure channel
without any prior secrets. Fractional Fourier transforms have been used for
the secure key transfer. Results of computer simulation are presented to
verify the proposed idea and analyse the robustness of the proposed
technique.
Keywords:
Fractional Fourier Transform, Optical encryption, Public key encryption,
Diffie-Hellman protocol, Fourier Transform, cryptography
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Title of the Paper:
Increase The Efficiency of English-Chinese Sentence Alignment: Target
Range Restriction and Empirical
Selection of Stop Words
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Authors: Wing-Kwong
Wong, Hsi-Hsun Yang, Wei-Lung Shen, Sheng-Kai Yin, Sheng-Cheng Hsu
Abstract: In this paper, we use a lexical method to do sentence alignment for
an English-Chinese corpus. Past research shows that alignment using a
dictionary involves a lot of word matching and dictionary look ups. To
address these two issues, we first restrict the range of candidate target
sentences, based on the location of the source sentence relative to the
beginning of the text. Moreover, careful empirical selection of stop words,
based on word frequencies in the source text, helps to reduce the number of
dictionary look ups. Experimental results show that the amount of word
matching can be cut down by 75% and that of dictionary look ups by as much as
43% without sacrificing precision and recall. Another experiment was also
done with twenty New York Times articles with 598 sentences and 18395 words.
The resulted precision is 95.6% and the recall is 93.8%. Among all predicted
alignment, 86% of the alignment is 1:1 (one source sentence to one target
sentence), 8% is 1:2, and 6% is 2:1. Further analysis shows that most errors
occur in alignments of types 1:2 and 2:1. Future work should focus on
problems with these two alignment types.
Keywords:
Sentence alignment, lexical method, statistical method, English-Chinese
corpus, stop words, target range.
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Title of the Paper:
TEMPLUM: A Process Adapted Numerical Simulation Code for The 3D Predictive
Assessment of Laser Surface Heat Treatments in Planar Geometry
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Authors:
A. Garcia-Beltran, J. L. Ocana, C. L. Molpeceres
Abstract: A process adapted numerical simulation code for the 3D predictive
assessment of laser heat treatment of materials has been developed. Primarily
intended for the analysis of the laser transformation hardening of steels,
the code has been successfully applied for the predictive characterization of
other metallic and non metallic materials posing specific difficulties from
the numerical point of view according to their extreme thermal and absorption
properties. Initially based on a conventional FEM calculational structure,
the developed code (TEMPLUM) reveals itself as an extremely useful prediction
tool with specific process adapted features (not usually available in FEM
heat transfer codes) in the field of laser heat treatment applications.
Keywords:
Numerical analysis; Finite element; Modeling; Simulation; Heat conduction;
Laser surface treatments; Transformation hardening; Optical glass polishing.
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Issue
3, Volume 7, March 2008
Title of the Paper: An
Improved Nested Partitions Algorithm Based on Simulated Annealing in Complex
Decision Problem Optimization
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Authors: Chang-Rui Yu, Yan Luo
Abstract: This paper introduces the main ideas of the nested partitions (NP)
method, analyses its efficiency theoretically and proposes the way to improve
the optimization efficiency of the algorithm. Then the paper introduces the
simulated annealing(SA) algorithm and incorporates the ideas of SA into two
of the arithmetic operators of NP algorithm to form the combined NP/SA
algorithm. Moreover, the paper presents the explicit optimization procedure
of the combined algorithm NP/SA and explains the feasibility and superiority
of it. The NP/SA algorithm adopts the global optimization ability of NP
algorithm and the local search ability of SA algorithm so that it improves
the optimization efficiency and the convergence rate. This paper also
illustrates the NP/SA algorithm through an optimization example.
Keywords:
Nested partitions algorithm, Simulated annealing, Complex decision problem.
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Title of the Paper:
Faulty-Tolerant Algorithm for Mapping a Complete Binary Tree in an IEH
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Authors: Shih-Jung Wu,
Jen-Chih Lin, Huan-Chao Keh
Abstract: Different parallel architectures may require different algorithms
to make the existent algorithms on one architecture be easily transformed to or
implemented on another architecture. This paper proposes a novel algorithm
for embedding complete binary trees in a faulty Incrementally Extensible
Hypercube (IEH). Furthermore, to obtain the replaceable node of the faulty
node, 2-expansion is permitted such that up to (n+1) faults can be tolerated
with dilation 3, congestion 1 and load 1. The presented embedding methods are
optimized mainly for balancing the processor loads, while minimizing dilation
and congestion as far as possible. According to the result, we can map the
parallel algorithms developed by the structure of complete binary tree in an
IEH. These methods of reconfiguring enable extremely high-speed parallel
computation.
Keywords:
Hypercube, Incrementally
Extensible Hypercube, Complete binary tree, Fault-Tolerance, Embedding
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Title of the Paper:
Height, Size Performance of Complete and Nearly Complete Binary Search Trees
in Dictionary Applications
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Authors: Ahmed Tarek
Abstract: Trees are frequently used data structures for fast access to the
stored data. Data structures like arrays, vectors and linked lists are
limited by the trade-off between the ability to perform a fast search and the
ability to resize easily. Binary Search Trees are an alternative data
structure that is both dynamic in size and easily searchable. Now-a-days,
more and more people are getting interested in using electronic organizers and
telephone dictionaries avoiding the hard copy counter parts. In this paper,
performance of complete and nearly complete binary search trees are analyzed
in terms of the number of tree nodes and the tree heights. Analytical results
are used together with an electronic telephone dictionary for a medium sized
organization. It’s performance is evaluated in lieu of the real-world
applications. The concept of multiple keys in data structure literature is
relatively new, and was first introduced by the author. To determine the
dictionary performance, another algorithm for determining the internal and
the external path lengths is also discussed. New results on performance
analysis are presented. Using tree-sort, individual records inside the
dictionary may be displayed in ascending order.
Keywords:
Complete Binary Search Tree, Nearly Complete Binary Search Tree, Electronic
Telephone Dictionary, Performance
Analysis, Performance Measurement, Logarithmic Time Complexity.
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Title of the Paper:
Case-Oriented Alert Correlation
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Authors: Jidong Long,
Daniel G. Schwartz
Abstract: Correlating alerts is of importance for identifying complex attacks
and discarding false alerts. Most popular alert correlation approaches employ
some well-de
ned knowledge to uncover the connections among alerts. However, acquiring,
representing and justifying such knowledge has turned out to be a nontrivial
task. In this paper, we propose a novel method to work around these difficulties by using case-based reasoning (CBR). In our application, a case,
constructed from training data, serves as an example of correlated alerts. It
consists of a pattern of alerts caused by an attack and the identity of the
attack. The runtime alert stream is then compared with each case, to see if
any subset of the runtime alerts are similar to the pattern in the case. The
process is reduced to a matching problem. Two kinds of matching methods were
explored. The latter is much more e
cient than the former. Our experiments with the DARPA Grand Challenge Problem
attack simulator have shown that both produce almost the same results and
that case-oriented alert correlation is e ective in detecting intrusions.
Keywords:
Alert Correlation, Case-Based Reasoning, Data Mining, Intrusion Detection
Title of
the Paper: CORAL - Online Monitoring in Distributed Applications: Issues
and Solutions
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Authors: Ivan Zoraja,
Ivan Zulim, Maja Stula
Abstract: In this paper we describe and evaluate issues that come up in the
development of online monitoring systems which connect software tools to a
running distributed application. Our primary intension was to elaborate how
to deal with complex middleware mechanisms that cater for the middleware
functionality in a way transparent to the users and tools. Our current
implementation, called Coral, manages DSM mechanisms that provide an
abstraction of shared memory on loosely coupled hardware, and allows multiple
tools to perform consistent yet efficient operations on the entities being
monitored. Since our primary design choice with Coral was portability we will
port Coral to distributed environments based on the SOA technology.
Keywords:
Online Monitoring, DSM, Tools, Process migration, Performance analysis,
Checkpointing
Title of
the Paper: Mining Strong Positive and Negative
Sequential Patterns
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Authors: Nancy P. Lin,
Hung-Jen Chen, Wei-Hua Hao, Hao-En Chueh, Chung-I Chang
Abstract: In data mining field, sequential pattern mining can be applied in
divers applications such as basket analysis, web access patterns analysis,
and quality control in manufactory engineering, etc. Many methods have been
proposed for mining sequential patterns. However, conventional methods only
consider the occurrences of itemsets in customer sequences. The sequential
patterns discovered by these methods are called as positive sequential
patterns, i.e., such sequential patterns only represent the occurrences of
itemsets. In practice, the absence of a frequent itemset in a sequence may
imply significant information. We call a sequential pattern as negative
sequential pattern, which also represents the absence of itemsets in a
sequence. The two major difficulties in mining sequential patterns,
especially negative ones, are that there may be huge number of candidates
generated, and most of them are meaningless. In this paper, we proposed a
method for mining strong positive and negative sequential patterns, called
PNSPM. In our method, the absences of itemsets are also considered. Besides,
only sequences with high degree of interestingness will be selected as strong
sequential patterns. An example was taken to illustrate the process of PNSPM.
The result showed that PNSPM could prune a lot of redundant candidates, and
could extract meaningful sequential patterns from a large number of frequent
sequences.
Keywords:
Data mining, Itemset, Frequent sequence, Positive sequential pattern,
Negative sequential pattern, Strong sequential pattern
Title of
the Paper: A Deflected Grid-based Algorithm
for Clustering Analysis
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Authors: Nancy P. Lin,
Chung-I Chang, Hao-En Chueh, Hung-Jen Chen, Wei-Hua Hao
Abstract: The grid-based clustering algorithm, which partitions the data
space into a finite number of cells to form a grid structure and then performs
all clustering operations on this obtained grid structure, is an efficient
clustering algorithm, but its effect is seriously influenced by the size of
the cells. To cluster efficiently and simultaneously, to reduce the
influences of the size of the cells, a new grid-based clustering algorithm,
called DGD, is proposed in this paper. The main idea of DGD algorithm is to
deflect the original grid structure in each dimension of the data space after
the clusters generated from this original structure have been obtained. The
deflected grid structure can be considered a dynamic adjustment of the size
of the original cells, and thus, the clusters generated from this deflected
grid structure can be used to revise the originally obtained clusters. The
experimental results verify that, indeed, the effect of DGD algorithm is less
influenced by the size of the cells than other grid-based ones.
Keywords:
Data Mining, Clustering Algorithm, Grid-based Clustering, Significant Cell,
Grid Structure
Title of
the Paper: Fast Mining of Closed Sequential
Patterns
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Authors: Nancy P. Lin,
Wei-Hua Hao, Hung-Jen Chen, Hao-En Chueh, Chung-I Chang
Abstract: This paper propose a novel algorithm for mining closed frequent
sequences, a scalable, condensed and lossless structure of complete frequent
sequences that can be mined from a sequence database. This algorithm, FMCSP,
has applied several optimization methods, such as equivalence class, to
alleviate the needs of searching space and run time. In particular, since one
of the main issues in this type of algorithms is the redundant generation of
the closed sequences, hence, we propose an effective and memory saving
methods, different from previous works, does not require the complete set of
closed sequences to be residing in the memory.
Keywords:
data mining, sequential patterns mining, closed sequential patterns
Title of
the Paper: A Data Centered Approach for Cache
Partitioning in Embedded Real-Time Database System
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Authors: Hu Wei, Chen
Tianzhou, Shi Qingsong, Jiang Ning
Abstract: Embedded real-time databases become a basic part of the embedded
systems in many using environments. Caches are used for reducing the gap
between processor and off-chip memory. But caches introduce unpredictability
in general real-time systems. Although several cache partitioning approaches
have been purposed to tackle this problem, there is no scheme designed for
real-time database system up to now. In this paper, we present a data
centered cache partitioning approach that allows different tasks to have a
shared locking partition in cache. The hard real-time tasks will have their
own partitions and thus they can perform high predictability. At the same
time, a shared non-locking partition is reserved for the soft real-time
tasks. In this way we can target performance improvements based on the data
that are frequently used by many tasks in the system. Our experiment results
show that the miss rate can be reduced by about 10%~18% compared with that of
a statically partitioned cache and by about 24%~40% compared with a dynamic
cache using LRU replacement policy.
Keywords:
Data sharing, Cache partitioning, Embedded database, Real-time
Title of
the Paper: The Curling Vector Field Transform
of Gray-Scale Images: A Magneto-Static Inspired Approach
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Authors: X. D. Zhuang, N. E. Mastorakis
Abstract: For image structure representation and feature extraction, the
curling vector field transform is proposed based on the magneto-static
analogy. The digital image is taken as the source of the vector field, and
the vector field transform of the image is presented imitating the form of
the physical magnetic field, which has a distinctive feature of rotating
whorl pattern. The simulation results indicate that the curling vector field
can represent the image’s structure feature, which can be applied in image
segmentation. The experimental results show that image segmentation can be
effectively implemented based on the image structure feature extracted by the
curling vector field transform.
Keywords:
vector field transform, curling vector field, image structure, image
segmentation
Issue 4, Volume 7, April 2008
Title of
the Paper: Electrocardiogram Compression and
Optimal ECG Filtering Algorithms
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Authors: Mihaela Lascu,
Dan Lascu
Abstract: In this paper novel compression techniques are developed for
portable heart-monitoring equipment that could also form the basis for more
intelligent diagnostic systems thanks to the way the compression algorithms
depend on signal classification. There are two main categories of compression
which are employed for electrocardiogram signals: lossless and lossy. Design
of an optimal Wiener filter is implemented to remove noise from a signal,
considering that the signal is statistically stationary and the noise is a
stationary random process that is statistically independent of the signal.
Two programs for compression and Wiener optimal filtering are realized in
MATLAB. The main idea of optimal filtering is to give bigger weight
coefficients to signal spectra parts where signal noise has less power and
true signal spectral components have bigger power. A Savitzky-Golay filtering
is applied to a noisy electrocardiogram and a comparison is done between the
four methods Wiener, Butterworth, Savitzky-Golay and synchronized averaging.
Keywords:
Electrocardiogram, Compression, Filtering, Matlab, Noise, Diagnostic.
Title of
the Paper: An Iterative Method for
Finite-Element Solutions of the Nonlinear Poisson-Boltzmann Equation
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Authors: Ren-Chuen Chen
Abstract: A finite-element (FE) approach combined with an efficient iterative
method have been used to provide a numerical solution of the nonlinear
Poisson-Boltzmann equation. The iterative method solves the nonlinear
equations arising from the FE discretization procedure by a node-by-node
calculation. Moreover, some extensions called by Picard, Gauss-Seidel, and
successive overrelaxation (SOR) methods are also presented and analyzed for
the FE solution. The performances of the proposed methods are illustrated by
applying them to the problem of two identical colloidal particles in a
symmetric electrolyte. My numerical results are found in good agreement with
the previous published results. A comprehensive survey is also given for the
accuracy and efficiency of these methods.
Keywords:
finite-element method, Poisson-Boltzmann equation, colloidal particles
interaction
Title of
the Paper: NURBS Curve Shape Modification and
Fairness Evaluation
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Authors: Tetsuzo
Kuragano, Akira Yamaguchi
Abstract: For the purpose of evaluation, a NURBS curve is used, because it is
commonly used in the areas of CAD/CAM and Computer Graphics. A curve with a
monotone radius of curvature distribution is considered as a fair curve in
the area of Computer Aided Aesthetic Design (CAAD). But no official standards
have been established. Therefore, a criterion for a fair curve is proposed. A
quintic NURBS curve, the first derivative of a quintic NURBS curve, curvature
vector, curvature, and radius of curvature are expressed. The concept of
radius of curvature specification to modify the shape of a NURBS curve is
illustrated. The difference between the NURBS curve radius of curvature and
the specified radius of curvature is minimized by introducing the
least-squares method to modify the shape of the NURBS curve. As curve
fairness evaluation, radius of curvature distribution is used as an
alternative characteristic of a curve. Algebraic functions such as linear,
quadratic, cubic, quartic, quintic, and six degrees are applied to the radius
of curvature distribution of the designed curve to specify the radius of
curvature. Then, the shape of the curve is modified according to the
specified radius of curvature distribution. In this manner, six NURBS curves
whose radius of curvature are these algebraic functions are generated, and
are predefined. Using the correlation matching, the similarity is evaluated
by comparing the radius of curvature distribution of the designed curve with
those of six NURBS curves predefined. The highest similarity curve to the
designed curve among these predefined curves is selected. The similarity
evaluated of the selected curve is determined as fairness of the designed curve.
Keywords:
curve shape modification, fair curve, radius of curvature specification,
correlation matching, fairness evaluation
Title of
the Paper: Automated Color Image Edge
Detection Using Improved PCNN Model
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Authors: Liang Zhou, Yu
Sun, Jianguo Zheng
Abstract: Recent researches indicate that pulse coupled neural network can be
used for image processing, such as image segmentation and edge detection
effectively. However, up to now it has mainly been used for the processing of
gray images or binary images, and the parameters of the network are always
adjusted and confirmed manually for different images, which impede PCNN’s
application in image processing. To solve these problems, based on the model
of Pulse Coupled Neural Network and the model of HIS, this paper bring
forward an improved PCNN model in the color image segmentation with the
parameters determined by images’ spatial and gray characteristics
automatically at the first, then use the above model to obtain the edge
information. The experiment results show the good effect of the new PCNN
model.
Keywords:
pulse coupled neural network (PCNN), image processing, HIS, color image
segmentation, parameter determination, image edge detection, spatial
characteristics, gray characteristics
Title of
the Paper: Development of Specific Disease
Data Warehouse for Developing Content from General Guide for Hypertension
Screening, Referral and Follow Up
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Authors: Teh Ying Wah,
Ng Hooi Peng, Ching Sue Hok
Abstract: This paper proposes a method of developing specific disease data
warehouse such as hypertension data warehouse. Significant steps in
developing the data warehouse will be described especially data extraction,
transformation and loading. The purpose of developing this data warehouse is
to help/assist the specialist, health care team, pharmacists to figure out
the best and suitable strategies to be implemented during the screening,
referral and follow up process. As the data may come from various data
sources mostly different websites, the amount of time spent of this tasks is
often underestimated. Issues on how we crawl the data from various data
sources and store it into database will be discussed further.
Keywords:
Data warehouse, Hypertension, Screening, Referral, Follow up
Title of
the Paper: Dynamic Threshold Determination for
Stable Behavior Detection
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Authors: Hiroyuki
Yamahara, Fumiko Harada, Hideyuki Takada, Hiromitsu Shimakawa
Abstract: To provide services according to user behavior, parameters should
be adapted appropriately for the precise recognition of user behavior. In
particular, the threshold value which is used to create behavioral patterns
matched for behavior recognition impacts accuracy of behavior recognition. Because the
threshold value is common to all users in the conventional model, the
threshold setting unsuitable for some users may cause low recognition rates.
In this paper, we propose a behavior detection method which detects
high-level user behaviors, such as “leaving home”. The proposed method
achieves stable behavior recognition regardless of users, by introducing a
model which dynamically determines the threshold value for individual user.
Keywords:
Threshold, Context, Behavior, Ambient, Proactive
Title of
the Paper: Automated Three Stage Red Lesions
Detection in Digital Color Fundus Images
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Authors: C. Marino, E.
Ares , M. G. Penedo, M. Ortega, N. Barreira, F. Gomez-Ulla
Abstract: The screening process is a very valuable method for prevention of
many pathologies including Diabetic retinopathy. Typically, a large amount of
images have to be analyzed as diabetic patients have both their eyes examined
at least once a year. To effectively manage all this information and the
workload it produces, automatic techniques for analyzing the images are
required. These techniques must be robust, sensitive and specific to be
implemented in real-life screening applications. In this work an algorithm
for the detection of red lesions in digital color fundus photographs is
proposed. The method performs in three stages: in the first stage points candidates
to be red lesions are obtained by using a set of correlation filters working
in different resolutions, allowing that way the detection of a wider set of
points. Then, in the second stage, a region growing segmentation process
rejects the points from the prior stage whose size does not fit in the red
lesion pattern. Finally, in the third stage three test are applied to the
output of the second stage: a shape test to remove non-circular areas, an
intensity test to remove that areas belonging to the fundus of the retina and
finally a test to remove the points which fall inside the vessels (only
lesions outside the vessels are considered). Evaluation was performed on a
test composed on images representative of those normally found in a screening
set. Moreover, comparison with manually-obtained results from clinical
experts are performed, to set the accuracy and reliability of the method.
Keywords:
Fundus, microaneurysm, red lesions, retina, screening, correlation.
Title of
the Paper:
Network Reliability Importance
Measures : Combinatorics and Monte Carlo based Computations
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Authors: Ilya Gertsbakh,
Yoseph Shpungin
Abstract: In this paper we focus on computational aspects of network
reliability importance measure evaluation. It is a well known fact that most
network reliability problems are NP-hard and therefore there is a significant
gap between theoretical analysis and the ability to compute different
reliability parameters for large or even moderate networks. In this paper we
present two very efficient combinatorial Monte Carlo
models for evaluating network reliability importance measures.
Keywords:
Network, Reliability, Importance Measure, Monte Carlo, Combinatorial Approach
Title of
the Paper: A Cognitive Tool to Support
Mathematical Communication in Fraction Word Problem Solving
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Authors: Azlina Ahmad,
Siti Salwah Salim, Roziati Zainuddin
Abstract: Word problem solving is one of the most challenging tasks in
mathematics for most students. It requires the solver to translate the
problem into the language of mathematics, where we use symbols for
mathematical operations and for numbers whether known or unknown. From a
study conducted on Malaysian school students, it was found that majority of
them did not write their solution to the word problem using correct
mathematical language. Intrapersonal and interpersonal communications are
important in mathematics learning especially in word problem solving. It is
therefore the main aim of this paper is to present a model that promotes the
use of mathematical language. The model is used as a basis in designing a
computer-based learning environment for word problem solving. The cognitive
tool named MINDA which incorporates several important necessary steps and
activities was developed to facilitate learning. From the experimental
analysis conducted on using MINDA, it was found that the mathematical
communication and their word problem solving achievement of students have
improved.
Keywords:
word problem solving, cognitive tool, mathematical communication,
intrapersonal communication, interpersonal communication.
Title of
the Paper: Extending the Equivalent
Transformation Framework to Model Dynamic Interactive Systems
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Authors: Courtney
Powell, Kiyoshi Akama
Abstract: Conceptualizing, visualizing, analyzing, reasoning about and
implementing Dynamic Interactive Systems (DISs) are difficult and error-prone
activities. To conceptualize and reason about the sorts of properties
expected of any DIS, a formal framework that most naturally facilitates
conceptualization and modelling of DISs is essential. In this paper we
propose and explain why extending the Equivalent Transformation Framework to
conceptually model DISs satisfies this ideal. The benefits to be derived from
using this framework include a simplified and intuitive conceptualization
process, mathematically sound models, guaranteed system correctness, high
level abstraction, clarity, granular modularity, and an integrated framework
for reasoning about, manipulating, and optimizing the various aspects of
DISs.
Keywords:
Conceptual Modelling, Dynamic Interactive Systems, Equivalent Transformation,
Correctness, Formal Methods.
Title of
the Paper: An Application of Data Mining
Technique in Developing Sizing System for Army Soldiers in Taiwan
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Authors: Hai-Fen Lin,
Chih-Hung Hsu, Mao-Jiun J. Wang, Yu-Cheng Lin
Abstract: In the field of garment manufacturing, the planning and control of
production and inventory are rather complicated procedures. This is the
reason that establishing standard sizing systems is necessary and important
for garment manufacturers in Taiwan.
As the standard sizing systems need anthropometric data for reference, an
anthropometric database for Taiwan
army servicemen was first constructed for the purpose of simplifying the
entire process. Anthropometric data collected from scratch are used to
establish the sizing systems. The data mining method, which has been
extensively used in many fields, is applied in this project. Few researches
have been conducted in addressing the establishment of sizing systems. This
study aims to establish systems for determining the sizes of garments for
army personnel using the data mining technique. The newly developed sizing
systems can be adopted to better accurately predict the requirements of
different sizes of uniforms, and then to generate a practical production
planning procedure. This study found that, by applying data mining technique,
unnecessary inventory costs resulting from sizing mismatches that portend
large differences between the numbers of soldiers and of produced garments
can be significantly minimized.
Keywords:
Anthropometric data, Data mining, Decision tree, Sizing systems, Production
planning, Garment manufacturing
Title of
the Paper: QoS Integration of the Internet and
Wireless Sensor Networks
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Authors: Weilian Su, Bassam Almaharmeh
Abstract: Recent developments in sensor networking for both military and
civilian applications emphasized the need for a reliable integration of
sensor networks with the Internet. For sensor networks deployed in various
military applications, it is important that collected information be
delivered as fast as possible with minimum delays. In this paper, an
integration module is proposed. The objective of the module is to provide
preferential services for high-priority traffic. The integration module is
implemented and tested using hardware equipments, such as Cisco routers and
10/100 Mbps switches. According to the testbed measurements, the proposed
integration module is able to adapt to different traffic needs, thus,
ensuring the QoS for different sensor network applications.
Keywords:
Wireless Sensor Networks, QoS, Integration Module.
Title of
the Paper: Channel Propagation Measurement and
Simulation of MICAz mote
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Authors: Weilian Su, Mohamad Alzaghal
Abstract: Wireless Sensor Networks (WSNs) is an important field of study as
more and more applications are enhancing daily life. The technology trend is
to achieve small-sized, cheap, and power efficient sensor nodes, which will
make the system reliable and efficient. The Crossbow Technologies MICAz mote
is an example used in this paper. Measurements of its propagation
characteristics in a realistic environment will help the deployment and
installation of these motes to form a WSN. The CST Microwave Studio is used
to build a simulation of the MICAz. The results and comparisons between
empirical and simulated data are intended to assist in the design, future
studies and deployment of WSNs in the real world.
Keywords: Wireless
Sensor Networks, Propagation Characteristics, MICAz Motes
Title of
the Paper: Preventing Conflict Situations
During Authorization
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Authors: Slvia Encheva, Sharil Tumin
Abstract: Computer-based access control systems working with financial and
privacy issues are concerned with access control policies. Structuring
authorizations turns out to be of a key importance in a case of collaborating
organizations.
Keywords:
Computer-based access control systems
Title of
the Paper: E-Research Centre and E-Creative
Design new Trends for E-Activities Platform
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Authors: Sorin Borza,
Dan Pual Brindasu, Livia Beju, Marinela Inta
Abstract: In this paper the author introduces the concept of E-creative
design, which refers to the use of methods and techniques (modify for
internet application) for stimulating the individual and group creativity in
a design session using an e-research center for the researchers in the field
of mechanical engineering sciences as well as its development and integration
in the existing national and international infrastructure. The goal of this
center is to include as many researchers from our faculty initially, then
from our university, our geographic area, our country, from all over the
world. To this purpose, the center sets itself to promote and support new
e-research projects, to encourage the building of multidisciplinary groups
that should cooperate among themselves and share resources and
infrastructure. One of this is E-Creative Design. The E-Creative design
methodology is presented first, step by strep in the pseudo code language. In
order to use creative methods on internet, the morphological analysis and “San Francisco”
creativity methods were presented from this new perspective.Finally the main
functions of a research-design platform were elaborated. An example of
E-creative session on Internet in cutting tool area completes the
presentation.
Keywords:
e-research, e-science, cyberstructure, midleware, virtual centre, e-design,
grid
Title of
the Paper: A Comprehensive Taxonomy of DDoS
Attacks and Defense Mechanism Applying in a Smart Classification
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Authors: Abbass
Asosheh, Naghmeh Ramezani
Abstract: A Distributed denial of service (DDoS) attack uses multiple
machines operating in concern to attack a network or site. It is the most
important security problem for IT managers. These attacks are very simple
organized for intruders and hence so disruptive. The detection and defense of
this attack has specific importance among network specialists. In this paper
a new and smart taxonomy of DDoS attack and defense mechanism will be
introduced. The attacks taxonomy is introduced using both known and potential
attack mechanisms. It comprises all types of attacks and provides a
comprehensive point of view for DDoS attacks. We introduce a useful tool that
can be employed to a sophisticated selection defense method for DDoS attacks.
Furthermore a smart taxonomy method of DDOS attacks will be proposed to help
selection an appropriate defense mechanism. This method uses some features of
DDOS attacks and classifies it to several clusters by Kmean algorithm and
labels each cluster with a defense mechanism. If an IDS detects a DDOS
attack, proposed system extract attack features and classify it by KNN
(K-Nearest-Neighbor) to determine the cluster in which it belongs to. The
defense mechanisms taxonomy is using the currently known approaches. Also the
comprehensive defense classification will help to find the appropriate
strategy to overcome the DDoS attack.
Keywords:
DDoS attack, Defense mechanism, Taxonomy, Detection, Smart Classification
Title of
the Paper: Parallelization of Prime Number
Generation using Message Passing Interface
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Authors: Izzatdin Aziz,
Nazleeni Haron, Low Tan Jung, Wan Rahaya Wan Dagang
Abstract: In this research, we propose a parallel processing algorithm that
runs on cluster architecture suitable for prime number generation. The
proposed approach was written using Message Passing Interface (MPI) and is
meant to decrease computational cost and accelerate the prime number
generation process. Several experimental results conducted using High
Performance Linpack (HPL) benchmark are presented to demonstrate the
viability of our work. The results suggest that the performance of our work
is at par with other parallel algorithms.
Keywords:
Prime number generation, parallel processing, cluster architecture, MPI,
primality test.
Title of
the Paper: Experiment Replication and
Meta-Analysis in Evaluation of Intelligent Tutoring System’s Effectiveness
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Authors: Ani Grubisic,
Slavomir Stankov, Branko Zitko
Abstract: This paper presents the methodology for conducting controlled
experiment replication, as well as, the results of a controlled experiment
and an internal replication that investigated the effectiveness of an
intelligent tutoring system. Since, there doesn’t seem to be a common ground
on guidelines for the replication of experiments in intelligent tutoring
system’s educational influence evaluation, this scientific method has just
started to be applied to this propulsive research field. We believe that
every effectiveness evaluation should be replicated at least in order to
verify the original results and to indicate an evaluated e-learning system’s
advantages or disadvantages. On the grounds of experiment replication, a
meta-analysis can be conducted in order to calculate overall intelligent
tutoring system effectiveness.
Keywords:
e-learning, intelligent tutoring systems, evaluation, effect size,
effectiveness, experiment, replication, meta-analysis
Title of
the Paper: Context-Aware Learning Path Planner
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Authors: Maiga Chang,
Alex Chang, Jia-Sheng Heh, Tzu-Chien Liu
Abstract: This paper develops a context-awareness learning path planner. The
learning path planner constructs suitable learning path for individual
student according to his/her misconceptions of the learning objects and the
distances in the real world. Beside the remedy learning path, the planner
also provides two guidance messages to students, the moving guidance message
and the learning guidance messages. The moving guidance messages are used to
lead students traveling from one learning spot to another. The learning
guidance messages are used to guide students observing the specific part of the
learning objects in order to clear their misconceptions. At the end of this
paper, an example is showing how the planner works for learning in a museum.
Keywords: Mobile Learning, Learning Path, Knowledge Structure,
Misconception, Situated Learning
Title of
the Paper: Assembly Time Minimization for an
Electronic Component Placement Machine
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Authors: Ali Fuat
Alkaya, Ekrem Duman, Akif Eyler
Abstract: In this study, a new algorithm for a particular component placement
machine is proposed. Also, a pairwise exchange procedure is designed and
applied after the proposed algorithm. In the analyzed machine, previously
proposed algorithms were mounting the components from lightest to heaviest
where we propose to mount the components from heaviest to lightest. This
method brings new opportunities in terms of performance gain on typical Printed
Circuit Boards produced in the industry. The new algorithm is compared with
former approaches on synthetically generated instances. It outperforms the
former approaches by 1.54 percent on printed circuit boards with 100
components to be placed. It gives better results in 96 out of 100 instances.
Applying the designed pairwise exchange procedure after the proposed
algorithm further improves the total assembly time. Moreover, by taking
advantage of inherent design of the analyzed PCBs, other promising improvement
procedures are also suggested for minimizing total assembly time. By applying
all the suggested techniques to the problem instances, performance
improvement rate reaches up to 4.5 percent when compared with previous
studies. Since the architecture and working principles of widely used new
technology placement machines are very similar to the one analyzed here, the
improvement techniques developed here can easily be generalized to them.
Keywords:
Printed Circuit Board Assembly, Traveling Salesman Problem, Placement Machine
Issue 5, Volume 7, May 2008
Title of
the Paper: Using Policy-based MPLS Management
Architecture to Improve QoS on IP Network
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Authors: Ruey-Shun Chen,
Yung-Shun Tsai, K. C. Yeh, H. Y. Chen
Abstract: Multi-Protocol Label Switching (MPLS) is in the process of
standardization by the Internet Engineering Task Force (IETF). It is regarded
as a technology for traffic engineering and QoS in IP-networks. We proposed
an IETF Policy-based Network Management Framework and policies with MPLS
specific classes. It uses a three-level policy architecture, which includes
managing on device, network, and service level using policies for supporting
Inter-serve and Diff-serve based end-to-end QoS in the Internet. A
prototyping of policy-based management system for MPLS Traffic Engineering is
operating on MPLS network elements. Several experiments illustrate the
efficiency and feasibility in this architecture. The results show it can
reduce the time of the setup of MPLS traffic engineering tunnel over hops and
MPLS traffic engineering tunnel deletion. The proposed integrated policy
based management architecture will allow network service providers to offer
both quantitative and qualitative services while optimizing the use of
underlying network resources.
Keywords:
Multiple Protocol Label Switching, Traffic Engineering, Quality of Service,
Policy-based Management
Title of
the Paper: Fuzzy Stroke Analysis of Devnagari
Handwritten Characters
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Authors: Prachi Mukherji, Priti P. Rege
Abstract: Devnagari script is a major script of India widely used for various
languages. In this work, we propose a fuzzy stroke-based technique for
analyzing handwritten Devnagari characters. After preprocessing, the
character is segmented in strokes using our thinning and segmentation
algorithm. We propose Average Compressed Direction Codes (ACDC) for shape
description of segmented strokes. The strokes are classified as left curve,
right curve, horizontal stroke, vertical stroke and slanted lines etc. We
assign fuzzy weight to the strokes according to their circularity to find
similarity between over segmented strokes and model strokes. The character is
divided into nine zones and the occurrences of strokes in each zone and
combinations of zones are found to contribute to Zonal Stroke Frequency (ZSF)
and Regional Stroke Frequency (RSF) respectively. The classification space is
partitioned on the basis of number of strokes, Zonal Stroke Frequency and
Regional Stroke Frequency. The knowledge of script grammar is applied to
classify characters using features like ACDC based stroke shape, relative
strength, circularity and relative area. Euclidean distance classifier is
applied for unordered stroke matching. The system tolerates slant of about
10º left and right and a skew of 5º up and down. The system proves to be fast
and efficient with regard to space and time and gives high discrimination
between similar characters and gives a recognition accuracy of 92.8%.
Keywords:
Devnagari Script, Segmentation, Strokes, Average Compressed Direction Code,
Zonal and Regional Stroke Frequency, Euclidean Classifier.
Title of
the Paper: Mamdani’s Fuzzy Inference
eMathTeacher: a Tutorial for Active Learning
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Authors: M. Gloria
Sanchez-Torrubia, Carmen Torres-Blanc, Sanjay Krishnankutty
Abstract: An eMathTeacher [16] is an eLearning on–line self–assessment tool
that helps users to active learning math concepts and algorithms by
themselves, correcting their mistakes and providing them with clues to find
the right solution. This paper introduces an example of a new concept on
Computer Aided Instruction (CAI) resources, i.e. a tutorial designed under
eMathTeacher philosophy for active eLearning Mamdani’s Direct Method, and
presents a brief survey on available CAI resources discussing what their
influence over students’ behaviour is. It also describes the minimum and
complementary requirements an eLearning tool must fulfil to be considered an
eMathTeacher as well as the main contributions of this kind of tutorials to
the learning processes. Needless to say that, such features as interactivity,
visualization and simplicity turn these tools into great value pedagogical
instruments.
Keywords:
eMathTeacher, eLearning, Active learning, Interactive Java applets, Fuzzy
Inference Systems (FIS), Fuzzy Logic, Computer Assisted Instruction (CAI).
Title of
the Paper: An Hybrid Simulated Annealing
Threshold Accepting Algorithm for Satisfiability Problems using Dynamically
Cooling Schemes
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Authors: Felix
Martinez-Rios, Juan Frausto-Solis
Abstract: For Satisfiability (SAT) Problem there is not a deterministic
algorithm able to solve it in a polynomial time. Simulated Annealing (SA) and
similar algorithms like Threshold Accepting (TA) are able to find very good
solutions of SAT instances only if their control parameters are correctly
tuned. Classical TA’s algorithms usually use the same Markov chain length for
each temperature cycle but they spend a lot of time. In this paper a new
hybrid algorithm is presented. This algorithm is in fact a TA algorithm which
is hybridized with SA in a certain way. For this TA algorithm, the Markov
chain length (L) is obtained in a dynamical way for each temperature.
Besides, it is known that TA and SA obtain very good results whether their
parameters are correctly tuned. Experimental tuning methods expend a lot of
time before a TA algorithm can correctly be executed; in other hand,
analytical tuning methods for TA were only completely developed for the
geometrical cooling function. This paper also shows how TA can be tuned for
three common cooling functions with an analytical model. Experimentation
presented in the paper shows that the new TA algorithm is more efficient than
the classical one.
Keywords:
Simulated Annealing, Threshold Accepting, Cooling function, Dynamic Markov
Chains, SAT problem
Title of
the Paper: Strategic Planning for the Computer
Science Security
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Authors: Jorge
A. Ruiz-Vanoye, Ocotlan Diaz-Parra, Ismael Rafael Ponce-Medellin, Juan Carlos
Olivares-Rojas
Abstract: The necessity of the companies and organizations to adapt the
technological changes of the computer science takes to formulated key
questions: How to measure the security of my organization?, What type of
Computer Science Security needs my company, financial organization, or
government? Did my financial organization counts with aspects of computer
science security in the correct areas? What new tools of computer science
security exist? What security strategies we must follow? What is the data
stream of information that needs to be transmitted through the different
departments of my organization, in terms of computer security? What kind of
users’ roles exists in terms of organizational security? Is there a way to
classify the information in terms of computer security? In this paper we show
a methodology for strategic planning for the computer science security of
diverse companies like Banks and Government, cradle in the concepts of
strategic administration of enterprise politics, which tries to give answers
to the questions before mentioned.
Keywords:
Methodologies of Security, Strategic Planning, Computer Science Security.
Title of
the Paper: Seamless Multicast Handover in an
NC-HMIPv6 Environment
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Authors: Lambert Kadjo
Tanon, Souleymane Oumtanaga, Kone Tiemoman
Abstract: The multicast facilitates group communications in IP networks and
largely improves the usage efficiency of the bandwidth. However if this
transmission technology has reached a sufficient maturity in fixed networks,
it results in many problems in an IP environment where the receiver is
mobile. The problem is partially attributable to the protocols managing the
host mobility. Indeed, in the mobile Internet, the host mobility affects
unicast addresses which are considered in the multicast routing protocols as
stable. So the change of these unicast addresses lead to long handover
latency and packets losses due to interruptions provoked by the mobility. So,
the best adaptation of the multicast in the mobile Internet depends strongly
on the type of mobility protocol in use. The current propositions for
applications of multicast services are made in the mobility environments
offering mobility management insufficiently optimized according to the
following essential performance criteria: improvement of the handover
latency, the scalability and the packet loss rate. Our proposal, based on the
NC-HMIPv6 protocol, offers a better mobile multicast management through
leaning the possibilities offered by this protocol. By widening the features
of various entities in the NC-HMIPv6 environment, an effective management of
the multicast handover is proposed.
Keywords: Mobile IPv6, HMIPv6, NC-HMIPv6, NC-HMIPv6-M, Multicast,
ASM, MLD, PIM-DM, PIMSM, PIM-SSM.
Title of
the Paper: The Pi-ADL.NET project: An
Inclusive Approach to ADL Compiler Design
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Authors: Zawar Qayyum, Flavio Oquendo
Abstract: This paper describes results and observations pertaining to the
development of a compiler utility for an Architecture Description Language
π-ADL, for the .NET platform. Architecture Description Languages or
ADLs, are special purpose high level languages especially construed to define
software architectures. π-ADL, a recent addition to this class of languages,
is formally based on the π-Calculus, a process oriented formal method.
The compiler for π-ADL, named π-ADL.NET, is designed with the view
of bringing the architecture driven software design approach to the .NET
platform. The process oriented nature and a robust set of parallelism
constructs of π-ADL make the π-ADL.NET project a novel application
of compiler techniques in the context of the .NET platform, with many
valuable lessons learnt. This paper presents the π-ADL.NET effort from a
compiler design perspective, and describes the inclusive approach driving the
design that facilitates the representation of strong behavioral semantics in
architecture descriptions. The subjects of parallel process modeling,
communication and constructed data types are covered. The paper also
documents the motivation, vision and future possibilities for this line of
work. A detailed comparison with related work is also presented.
Keywords:
π-ADL, Compiler design, Aspect oriented programming, CIL, Software
architecture, Architecture description danguage
Title of
the Paper: A Novel Construction of
Connectivity Graphs for Clustering and Visualization
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Authors: Wesam Barbakh, Colin Fyfe
Abstract: We [5, 6] have recently investigated several families of clustering
algorithms. In this paper, we show how a novel similarity function can be
integrated into one of our algorithms as a method of performing clustering
and show that the resulting method is superior to existing methods in that it
can be shown to reliably find a globally optimal clustering rather than local
optima which other methods often find. We discuss some of the current
difficulties with using connectivity graphs for solving clustering problems,
and then we introduce a new algorithm to build the connectivity graphs. We
compare this new algorithm with some famous algorithms used to build
connectivity graphs. The new algorithm is shown to be superior to those in
the current literature. We also extend the method to perform topology
preserving mappings and show the results of such mappings on artificial and real
data.
Keywords:
Clustering, Similarity function, Connectivity graph, Visualisation, K-means,
Topographic mapping.
Title of
the Paper: Incorporating the Biometric Voice
Technology into the E-Government Systems to Enhance the User Verification
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Authors: Khalid T.
Al-Sarayrh, Rafa E. Al-Qutaish, Mohammed D. Al-Majali
Abstract: Many courtiers around the world have started their e-government programs.
E-government portals will be increasingly used by the citizens of many
countries to access a set of services. Currently, the use of the e-government
portals arises many challenges; one of these challenges is the security
issues. E-government portals security is a very important characteristic in
which it should be taken into account. In this paper, we have incorporated
the biometric voice technology into the e-government portals in order to
increase the security and enhance the user verification. In this way, the
security should be increased since the user needs to use his voice along with
his password. Therefore, no any unauthorized person can access the
e-government portal even if he/she knows the required password.
Keywords:
Security Systems, E-Government Portals, Biometric Voice, Speaker
Verification, Authentication.
Title of
the Paper: Smart Card based Solution for
Non-Repudiation in GSM WAP Applications
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Authors: Cristian Toma,
Marius Popa, Catalin Boja
Abstract: The paper presents security issues and architectures for mobile
applications and GSM infrastructure. The article also introduces the solution
for avoiding denial of service from WAP applications using WIM features. The
first section contains the structure of GSM network from voice and data point
of view. The security in GSM network is presented in second section. The
third section presents a solution for realizing mobile subscriber non-repudiation.
The solution is based on the HTTP protocol over WAP.
Keywords:
mobile security, m-application security, SAWNR - Secure Application for
Wireless Non Repudiation.
Title of
the Paper: Adapting a Legacy Code for Ordinary
Differential Equations to Novel Software and Hardware Architectures
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Authors: Dana Petcu,
Andrei Eckstein, Claudiu Giurgiu
Abstract: Modern software engineering concepts, like software as a service,
allow the extension of the legacy code lifetime and the reduction of software
maintenance costs. The transformation of a legacy code into a service is not
straightforward task, especially when the initial code was designed with a
rich user interface. A special case is presented in this paper, that of a
software code for solving ordinary differential equations. Initially designed
to use parallel computing techniques in the solving process, the code is now
modified to take advantages of the current multi-core architectures. The
transformation paths are general and can be followed by other similar legacy
codes.
Keywords:
Wrapper, Web service, Parallel methods, Multicore architectures, Ordinary
differential equations
Title of
the Paper: Integrated Information Systems in
Higher Education
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Authors: Ana-Ramona
Lupu, Razvan Bologa, Gheorghe Sabau, Mihaela Muntean
Abstract: The paper shortly presents the situation of the Romanian
universities regarding information systems implementation and deployment. The
information presented is the result of a study regarding the current state of
the Romanian universities in the process of data and information system
integration, performed at the end of 2007 in 35 accredited universities. This
study was used as a base for identifying and analyzing the main factors of
influence for developing an integrated university environment and for
identifying concrete action directions for accomplishing that integration.
Keywords:
Romanian universities, Management information systems, Enterprise Resource
Planning systems, Integrated information solutions
Title of
the Paper: Basis Path Test Suite and Testing
Process for WS-BPEL
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Authors: Theerapong
Lertphumpanya, Twittie Senivongse
Abstract: Web services technology offers a WS-BPEL language for business
process execution. The building block of WS-BPEL is those Web services
components that collaborate to realize a certain function of the business
process. Applications can now be built more easily by composing existing Web
services into workflows; each workflow itself is also considered a composite
Web service. As with other programs, basis path testing can be conducted on
WS-BPEL processes in order to verify the execution of every node of the
workflow. This paper discusses the generation of the test suite for basis
path testing of WS-BPEL and an accompanying tool that can be used by service
testers. The test suite consists of test cases, stubs of the constituent
services in the workflow, and auxiliary state services that assist in the
test; these are deployed when running a test on a particular WS-BPEL. The
paper presents also a testing process for service testers. A business process
of a market place is discussed as a case study.
Keywords:
Basis path testing, WS-BPEL, test cases, control flow graph, cyclomatic
complexity
Title of
the Paper: Advanced Computer Recognition of
Aesthetics in the Game of Chess
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Authors: Azlan Iqbal, Mashkuri Yaacob
Abstract: This research intended to see if aesthetics within the game of
chess could be formalized for computer recognition since it is often
appreciated and sought after by human players and problem composers. For this
purpose, Western or International chess was chosen because there is a strong
body of literature on the subject, including its aesthetic aspect. Eight
principles of aesthetics and ten themes were identified. Flexible and dynamic
formalizations were derived for each one and cumulatively represent the
aesthetic score for a move combination. A computer program that incorporated
the formalizations was developed for testing purposes. Experiments were then
performed comparing sets of thousands of chess compositions (where aesthetics
is generally more prominent) and regular games (where it is not). The results
suggest that computers can recognize beauty in the game. Possible
applications of this research include more versatile chess database search
engines, more accurate automatic chess problem composers, enhanced automatic
chess game commentators and computational aid to judges of composition and
brilliancy tournaments. In addition, the methodology applied here can be used
to gauge aesthetics in similarly complex games such as go and generally to develop
better game heuristics.
Keywords:
aesthetics, chess, game, evaluation, intelligence, computation
Title of
the Paper: Virtual Reality Approach in
Treating Acrophobia: Simulating Height in Virtual Environment
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Authors: Nazrita
Ibrahim, Mustafa Agil Muhamad Balbed, Azmi Mohd Yusof, Faridah Hani Mohammed
Salleh, Jaspaljeet Singh, Mohamad Shahrul Shahidan
Abstract: Acrophobia is a scientific term used to describe the fear of
height. To some people, this fear is manageable, but to others, the fear
could pose danger to their life if it starts to interfere with their day to
day activities. The conventional treatment for acrophobia is usually done
through exposure therapy, where individuals suffering acrophobia will be
gradually exposed (physically) to height. The disadvantage of conventional
treatment is that it could put the sufferers in life threatening situation.
Therefore, the goal of this study is to investigate whether it is possible to
create the presence of height using a simple 3D virtual environment, which
later could be used in exposure therapy for acrophobia. The system consists
of a multimedia workstation, a Head Mounted Display (HMD) and a virtual scene
of a busy city surrounded by tall buildings. The experiment consists of the
users being gradually lifted up and down on an open elevator hanging outside
one of the buildings. Set of questions being asked to each participant after
the experiment, and the results shown that even with simple 3D virtual
environment, the simulation of height could be achieved.
Keywords:
Virtual Reality, Acrophobia, 3D Environment, Virtual Environment, Virtools,
VR system treatment
Title of
the Paper: Spatial Decision Support System for
Reclamation in Opencast Coal Mine Dump
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Authors: Yingyi Chen, Daoliang Li
Abstract: This paper describes the development and applications of a decision
support system that uses spatial information techniques and field survey
data. The SDSS can enable the various levels of the target groups to easily
identify the best available solutions of reclamation problems. To make
reasonable decisions, the overall purpose of the SDSS is to provide a support
tool for site evaluation and selection of the most appropriate reclamation
schemes. The system consists of three models: (1) an evaluation model for
reclamation potentiality based on the physical, chemical, and biological
growth-limiting factors in the target area. (2) Fuzzy similarity models to
determine the native plant species and metal-tolerant plants. (3) A
case-based and rule-based model to select the most appropriate reclamation
schemes based on the similarity in the physical, chemical, and biological
growth conditions. The models are developed in the C# language and integrated
with GIS. All these models are integrated in the SDSS which is able to
provide information concerning the recommended reclamation technologies for
each case. Finally, the uses of the SDSS in two cases which are Haizhou (China) and Mao Moh Mine (Thailand) are described.
Keywords:
Coal mine waste land, Reclamation, Spatial decision support system, Remote
sensing, Geographical information system
Title of
the Paper: On Application of SOA to Continuous
Auditing
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Authors: Huanzhuo Ye,
Shuai Chen, Fang Gao
Abstract: In today’s fast paced business world, there is growing interest in
the concept of continuous auditing. Although, current technology makes
continuous auditing possible, it still faces some problems. The main problems
consist of the accuracy of the data, the real-time and comprehensiveness of
the audit, and the flexibility of the audit. In order to solve these
problems, a SOA-based conceptual model for continuous auditing is proposed in
this paper. The two main models of SOA (service registry model and enterprise
service bus model) are all applied to this conceptual model. The model also
requires the user interface to be separated from the client’s management
information system so that the auditing systems can monitor the process of
the transactions between the client and the third parities. The model shows
how the new technology using ESB, XBRL, The shadow subsystem
-Just-In-Time
database- and the Intelligent Agent can help
effectively audit the transactions between the client and the third parities.
Finally, a SOA-based conceptual model for continuous auditing is presented to
provide the real-time, comprehensive, and flexible of the audit.
Keywords:
Continuous auditing; SOA; ESB; Real-time audit; Model
Title of
the Paper:
Nonlinear System Identification
with a Feedforward Neural Network and an Optimal Bounded Ellipsoid Algorithm
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Authors: Jose De Jesus
Rubio Avila,
Andres Ferreyra Ramirez, Carlos Aviles-Cruz
Abstract: Compared to normal learning algorithms, for example
backpropagation, the optimal bounded ellipsoid (OBE) algorithm has some
better properties, such as faster convergence, since it has a similar
structure as the Kalman filter algorithm. Optimal bounded ellipsoid algorithm
has some better properties than the Kalman filter training, one is that the
noise is not required to be Guassian. In this paper optimal bounded ellipsoid
algorithm is applied train the weights of a feedforward neural network for
nonlinear system identification. Both hidden layers and output layers can be
updated. In order to improve robustness of the optimal of the optimal bounded
ellipsoid algorithm, dead-zone is applied to this algorithm. From a dynamic
systems point of view, such training can be useful for all neural network
applications requiring real-time updating of the weights. Two examples where
provided which illustrate the effectiveness of the suggested algorithm based
on simulations.
Keywords:
Neural Networks, Optimal Bounded Ellipsoid (OBE), Modeling, Identification.
Title of
the Paper: Comparison Studies on
Classification for Remote Sensing Image Based on Data Mining Method
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Authors: Hang Xaio, Xiubin Zhang
Abstract: Data mining methods have been widely applied on the area of remote
sensing classification in recent years. In these methods, neural network,
rough sets and support vector machine (SVM) have received more and more
attentions. Although all of them have great advantages on dealing with
imprecise and incomplete data, there exists essential difference among them.
Until now, researches of these three methods have been introduced in lots of
literatures but how to combine these theories with the application of remote
sensing is an important tendency in the later research. However, all of them
have their own advantage and disadvantage. To reveal their different
characters on application of remote sensing classification, neural network,
rough sets and support vector machine are applied to the area of remote
sensing image classification respectively. Comparison result among these
three methods will be helpful for the studies on emote sensing image
classification. And also the paper provides us a new viewpoint on remote
sensing image classification in the future work.
Keywords:
remote sensing image classification, data mining, neural network, variable
precision rough sets model, support vector machine, comparison studies
Title of
the Paper: Monitoring Event-Based Suspended
Sediment Concentration by Artificial Neural Network Models
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Authors: Yu-Min Wang,
Seydou Traore, Tienfuan Kerh
Abstract: This paper is concerned with monitoring the hourly event-based
river suspended sediment concentration (SSC) due to storms in Jiasian
diversion weir in southern Taiwan.
The weir is built for supplying 0.3 million tons of water per day averagely
for civil and industrial use. Information of suspended sediments fluxes of
rivers is crucial for monitoring the quality of water. The issue of water
quality is of particular importance to Jiasian area where there are high
population densities and intensive agricultural activities. Therefore, this
study explores the potential of using artificial neural networks (ANNs) for
modeling the eventbased SSC for continuous monitoring of the river water
quality. The data collected include the hourly water discharge, turbidity and
SSC during the storm events. The feed forward backpropagation network (BP),
generalized regression neural network (GRNN), and classical regression were
employed to test their performances. From the statistical evaluation, it has
been found that the performance of BP was slightly better than GRNN model. In
addition, the classical regression performance was inferior to ANNs.
Statistically, it appeared that both BP (r2=0.930) and GRNN (r2=0.927) models
fit well for estimating the event-based SSC in the Jiasian diversion weir.
The weir SSC estimation using a single input data with the neural networks
showed the dominance of the turbidity variable over water discharge.
Furthermore, using the the ANN models are more reliable than classical
regression method for estimating the SSC in the area studied herein.
Keywords:
Artificial neural networks, river monitoring, suspended sediment
concentration, turbidity, water discharge, modeling.
Title of
the Paper: New Color Correction Method of
Multi-view Images for View Rendering in Free-viewpoint Television
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Authors: Feng Shao,
Gangyi Jiang, Mei Yu
Abstract: Color inconsistency between views is an important problem to be
solved in multi-view video imaging application, such as free viewpoint
television. Up to now, some color correction methods have been proposed
mainly for consistent color appearance or high coding efficiency, in which
the mean, variance, or covariance information are used to transfer color
information. In this paper, by using color restoration and linear regression
technique, a new color correction method of multi-view images is proposed for
view rendering. We first separate foreground and background from scene by
mean-removed disparity estimation. Then color restoration is used to
reconstruct the original color information for foreground and background. And
then linear regression technique is used to estimate correction parameters
for color restored image. Finally, color correction and view rendering
between reference image and color corrected image are implemented.
Experimental results show that he proposed method can achieve better
performances of color correction and view rendering.
Keywords:
Multi-view image, free viewpoint television, color correction, view
rendering, expectationmaximization, linear regression, CIEDE2000.
Issue 6, Volume 7, June 2008
Title of
the Paper: The
Strategy based on Game Theory for Cross-Organizational Business Process
Reengineering in Supply Chain
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Authors: Jian-Feng Li,
Yan Chen, Xu-Sheng Cui
Abstract: Many enterprises with their own benefits are involved in
cross-organizational business process reengineering in supply chain, which is
different from BPR within one enterprise. The enterprises have rights to take
part in the cross-organizational BPR project or not, in this way, their
activities under the benefits will affect the progress of the project and the
different results will be gotten. It has been an important matter which
hasn’t been worked over deeply in the current research, so this paper probes
into that problem and analyzes the reengineering strategy in supply chain,
i.e. how to adopt the proper method based on game theory in the analysis of
enterprises’ interrelating actions under their benefits for BPR in order to
achieve good results. Concretely, the amalgamation of reengineering benefits
for different enterprises, the relationship of reengineering activities and
the effects of different reengineering modes are investigated deeply. This
paper studies the benefits and activities of reengineering entities and
emphasizes the various and inducing ability of the reengineering method,
which enriches the current research of BPR and has intrinsic value on the
actual project of cross-organizational BPR in supply chain.
Keywords:
Game theory; Business process reengineering; Cross-organization; Supply
chain; Reengineering strategy; Project management.
Title of
the Paper:
New View Generation Method for Free-Viewpoint Video System
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Authors: Gangyi Jiang,
Liangzhong Fan, Mei Yu, Feng Shao
Abstract: View navigation is an attracted function of free viewpoint video
(FVV) system. Disparity map which describes correspondence between adjacent
views plays an important role in view generation. However, disparity
estimation is complicated and time consuming for user side with constrained
resource environment. In view of disparity compensation prediction algorithm
is usually utilized at the encoder to lift up the coding efficiency, block
based disparity map can be easily obtained without more extra efforts.
Therefore, a framework of view generation oriented FVV system is presented in
this paper, in which block based disparity map is generated and encoded with
CABAC losslessly at the server side, while at the user side, the received
block based disparity map is refined for view generation, and spatial
correlation in block based disparity map is utilized to accelerate the
generation of pixel-wise disparity map. Experimental results show that the proposed
framework makes a tradeoff between the transmission cost and effort of view
generation.
Keywords:
Free viewpoint video, view generation, block based disparity map, disparity
refinement, rayspace.
Title of
the Paper: Cost Effective Software Test
Metrics
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Authors: Ljubomir Lazic, Nikos Mastorakis
Abstract: This paper discusses software test metrics and their ability to
show objective evidence necessary to make process improvements in a
development organization. When used properly, test metrics assist in the
improvement of the software development process by providing pragmatic,
objective evidence of process change initiatives. This paper also describes
several test metrics that can be implemented, a method for creating a
practical approach to tracking & interpreting the metrics, and illustrates
one organization’s use of test metrics to prove the effectiveness of process
changes. Also, this paper provides the Balanced Productivity Metrics (BPM)
strategy and approach in order to design and produce useful project metrics
from basic test planning and defect data. Software test metrics is a useful
for test managers, which aids in precise estimation of project effort,
addresses the interests of metric group, software managers of the software
organization who are interested in estimating software test effort and
improve both development and testing processes.
Keywords:
Software testing, Test metrics, Size estimation, Effort estimation, Test
effectiveness evaluation
Title of
the Paper: Implementation of Data-Exchanging
System based on Message Oriented Middleware in Agricultural Website
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Authors: Zhang
Xiaoshuan, Wu Qinghua, Tian Dong, Zhao Ming
Abstract: With the startup of the Golden Agriculture Project, the step of
being-information of agriculture is becoming rapid. And the transformation
and share of data is indispensable to the being-information of agriculture.
How to implement data combination, data transformation and data receiving
applications are the important means to complete the information share safely
and enhance the efficiency. The paper starts with searching of methods to
implement data interchange, and introduce some of the methods, points of the
techniques, etc. Basing on this, the paper also introduces the detail
requirement analyses, system design and detail implementation of the system.
According to the requirement and trait of the project, a data interchange
system is researched and completed. And a data interchange model based on
message-oriented middleware (MOM) is presented in this paper, which builds a
middleware between the province and the ministry taking part in data
interchange. The system has traits as follows: 1. keeping the data safe and
credible while it is transformed. 2. having excellent transplantable and
applied capability. 3. doesn’t need intervention of workman in the process of
data interchange. 4. applying the data interchange between databases of
different structure. 5. being simple to be developed and applied. MOM
TongLink/Q offers interfaces for application development, and it completes
the data transformation through the internet. The integration adapters
developed do the data management, which are developed based on the Frame for
Applications Integration TongIntegrator. This method offers a new approach to
resolve the question of data interchange. Now the system has been
successfully applied in the data interchange project of Ministry of
Agriculture.
Keywords:
Message Oriented Middleware, Data Exchange, long-range Database, Website,
Data Exchange
Title of
the Paper: Making A CASE for PACE: Components
of the Combined Authentication Scheme Encapsulation for a Privacy Augmented
Collaborative Environment
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Authors: Geoff Skinner
Abstract: Digital Collaborations are proving themselves as ideal environments
for increasing the productivity and knowledge exploration capabilities of
their members. Many organizations are realizing the diverse range of benefits
they provide to not only their organization as a whole but also to individual
employees. The challenge in environments that encourage the sharing of
resources, in particular data, is finding a sustainable balance between the
need to provide access to data while also insuring its security in addition
to the privacy of the entities it may pertain to. In this paper we propose an
authentication framework that uniquely combines both traditional and
biometric methods of authentication with an additional novel audiovisual
method of authentication. The CASE (Combined Authentication Scheme
Encapsulation) methodology, the name of our solution, provides an effective
visual representation of both the authentication and information privacy
hierarchies associated with data requests within digital collaborative
environments.
Keywords:
Information Privacy, Data Security, Authentication, Personal Identity,
Digital Collaborations
Title of
the Paper: The Relationship between
Educational Serious Games, Gender, and Students’ Social Interaction
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Authors: Samah Mansour, Mostafa El-Said
Abstract: Internet age students are increasingly interested in learning by
playing. The majority of the current educational computer games suffer from
the inapplicability of supporting the course materials’ learning objectives.
In consequence, the integration of educational video games into the
curriculum usually met with resistance from some teachers, administrators,
and parents. Multi-player educational serious games (MPESGs) are introduced as
a new type of educational computer games. Educators and researchers
increasingly believe in MPESGs as a tool for interactive learning. MPESGs
might not only motivate students to learn, but also provide them with
innovative ways to develop understandings of abstract concepts. In addition,
the integration of MPESGs in learning environment might promote social
interaction among students. This study focused on exploring MPESGs as a new
educational tool. A MPESG called The Village of Belknap was developed in Second
Life to be used as a prototype in this study. Experimental results were
carried out and the results indicated that the gender did not influence
students’ perceptions of social interaction during playing the game. In
addition, the results revealed that the integration of the MPESG in the
learning process did not lead to a significant difference in the perception
of social interaction between the students who participated in the online
session and the students who participated in the face-to-face session.
Keywords:
Avatar, CVE, Educational Games, Role-Playing Game, Second Life, Serious Game.
Title of
the Paper: Human Emotion Recognition System
Using Optimally Designed SVM With Different Facial Feature Extraction
Techniques
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Authors: G. U. Kharat, S.
V. Dudul
Abstract: This research aims at developing “Humanoid Robots” that can carry
out intellectual conversation with human beings. The first step in this
direction is to recognize human emotions by a computer using neural network.
In this paper all six universally recognized basic emotions namely angry,
disgust, fear, happy, sad and surprise along with neutral one are recognized.
Various feature extraction techniques such as Discrete Cosine Transform
(DCT), Fast Fourier Transform (FFT), Singular Value Decomposition (SVD) are
used to extract the useful features for emotion recognition from facial
expressions. Support Vector Machine (SVM) is used for emotion recognition
using the extracted facial features and the performance of various feature
extraction technique is compared. Authors achieved 100% recognition accuracy
on training dataset and 94.29% on cross validation dataset.
Keywords:
Discrete Cosine Transform (DCT), Fast Fourier Transform (FFT), Singular Value
Decomposition (SVD) Support Vector Machine (SVM), Machine Intelligence.
Title of
the Paper: Determination of Insurance Policy
Using a hybrid model of AHP, Fuzzy Logic, and Delphi
Technique: A Case Study
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Authors: Chin-Sheng
Huang, Yu-Ju Lin, Che-Chern Lin
Abstract: Based on a previous study, this paper presents evaluation models
for selecting insurance policies. Five models have been built for five
insurances, respectively, including life, annuity, health, accident, and
investment-oriented insurances. The proposed models consist of analytical
hierarchy process (AHP), fuzzy logic and the Delphi
technique. The Delphi technique is employed
to select inputs, define fuzzy expressions, and generate evaluation rules for
the models. Four variables are selected as the inputs including age, annual
income, educational level and risk preference. These inputs are transferred
to fuzzy variables using trapezoidal membership functions and then fed to
AHP. To build the models, we interviewed twenty domain experts with at least
three years of working experience in insurance companies. To validate the
performance, we designed a computer program and used 300 insurance purchase
records to examine the evaluation results. Validation results and conclusive
remarks are also provided at the end of this paper.
Keywords:
Insurance policy; Decision making; Fuzzy logic; AHP; Delphi
technique; Evaluation model
Title of
the Paper: Implementation of a Modified PCX
Image Compression Using Java
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Authors: Che-Chern Lin, Shen-Chien Chen
Abstract: In this paper, we present a new image compression algorithm based
on the PCX algorithm, an image compression method used in the computer
package of PC Paintbrush Bitmap Graphic. We first introduce the principles of
image compressions and the structure of image file formats. We demonstrate
the procedures of compression and decompression of the PCX algorithm. The
original PCX algorithm only compresses one fourth of data using run-length
encoding. The compression efficiency depends on the repeatability of data in
the compressed area. If the repeatability is low, the compression performance
will be bad. To avoid this, we propose a modified PCX algorithm which selects
the best area for compression. We designed a computer package to implement
the modified PCX algorithm using java programming language. The Unified
Modeling Language (UML) was used to describe the structure and behaviors of
the computer package. The pseudo codes for the compression and decompression
of the modified PCX algorithm are also provided in this paper. We did an
experiment to compare the performance between the original and modified
algorithms. The experimental results show that the modified PCX algorithm is
better than the original one in compression performance.
Keywords:
PCX, Data compression, Image compression, Run-length encoding
Title of
the Paper: QoS Multilayered Multicast Routing
Protocol for Video Transmission in Heterogeneous Wireless Ad Hoc Networks
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Authors: Osamah
Badarneh, Michel Kadoch, Ahamed Elhakeem
Abstract: In wireless ad hoc networks, nodes are expected to be heterogeneous
with a set of multicast destinations greatly differing in their end devices
and QoS requirements. This paper proposes two algorithms for multilayered
video multicast over heterogeneous wireless ad hoc networks. The two
algorithms are, Multiple Shortest Path Tree (MSPT) and Multiple Steiner
Minimum Tree (MSMT). In this paper, we assume that each destination has a
preference number of video layers; which is equal to its capacity. Moreover,
we do not consider only the capacities of nodes in the network but also the
bandwidth of each link. In order to increase user satisfaction for a group of
heterogeneous destinations, we exploit different types of multiple multicast
trees policy. Simulations show that the proposed schemes greatly improve the
QoS requirements (increase user satisfaction) for a set of destinations. In
addition, simulations show that multiple Hybrid-II multicast trees offer
higher user satisfaction than multiple Hybrid-I multicast trees and multiple
node-disjoint trees. The cost of that is the robustness against link failure.
Therefore, it is a trade off between providing robustness against path breaks
and increasing user satisfaction.
Keywords:
Multilayered multicast; MDC; LC, Heterogeneous wireless ad hoc networks.
Title of
the Paper: The Investigation of the Elliptic
Curve Cryptology Applies to the New Generation Protocol
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Authors: Po-Hsian Huang
Abstract: We face threats from virus, hacker, electronic eavesdropper, and
electronic deceiver in the network environment. The safety issue is truly
important. The growth of the computer and network system make the
organizations and personal users to depend on the information that circulate
in these systems more and more. For the reason, we must protect the data and
resources from leak and insure the reliability of data and information.
Besides, the system can be protected well when it is suffered any attacks
from networks. Not only people start to care about the network security level
where they use credit cards to order they want but also they have the idea
about the network security.[1] The most well-known and the most extensive
applied public key cryptosystem RSA is submitted by Rivet, Shamir and Adelman
[2]. Its safety is based on the difficulty of the factorization of big
integer. The problem of factorization of big integer is a well-known
difficult mathematical question. Up to now, less valid system is mentioned to
solve the problem. Therefore, the algorithm of RSA can insure the safety. For
the sake of the security of RSA, the bit of key is always in the advance. The
more key length will cause the speed of encryption and decryption to decline.
Besides, the hardware will become more and more difficult to be accepted.
This phenomenon brings very heavy load for RSA applications. For proceeding
the large number of safe transactions on E-Commerce also will encounter the
same problems. In Elliptic Curve Cryptology, its bytes are less than RSA
(Rivest-Shamir-Adleman). It can let computer performance and network
transmission become good and fast. Although the next generation protocol
modifies from IPv4 and applies to IPSEC, it is not perfect in network
security. The unit of IP Security Protocol can’t coexist with the unit of
IPv6 protocol service when IPv6 packets pass IPv4 protocol and Network
Address Transfer’s field. For those weaknesses, one will discuss Elliptic
Curve Cryptology how to translate in IPv6 protocol and compare the
performance of Elliptic Curve Cryptology and RSA in IPv6 protocol.
Keywords:
Elliptic Curve Cryptology, IPv6, RSA (Rivest-Shamir-Adleman)
Title of
the Paper: Neural Network Approach for
Estimating Reference Evapotranspiration from Limited Climatic Data in Burkina Faso
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Authors: Yu-Min Wang,
Seydou Traore, Tienfuan Kerh
Abstract: The well known Penman-Monteith (PM) equation always performs the
highest accuracy results of estimating reference evapotranspiration (ETo)
among the existing methods is without any discussion. However, the equation
requires climatic data that are not always available particularly for a
developing country such as Burkina
Faso. ETo has been widely used for
agricultural water management. Its accurate estimation is vitally important
for computerizing crop water balance analysis. Therefore, a previous study
has developed a reference model for Burkina Faso (RMBF) for estimating the
ETo by using only temperature as input in two production sites, Banfora and Ouagadougou. This paper
investigates for the first time in the semiarid environment of Burkina Faso,
the potential of using an artificial neural network (ANN) for estimating ETo
with limited climatic data set. The ANN model employed in the study was the
feed forward backpropagation (BP) type using maximum and minimum air
temperature collected from 1996 to 2006. The result of BP was compared to the
RMBF, Hargreaves (HRG) and Blaney-Criddle (BCR) which have been successfully
used for ETo estimation where there is not sufficient data. Based on the
results of this study, it revealed that the BP prediction showed a higher
accuracy than RMBF, HRG and BCR. The feed forward backpropagation algorithm
could be potentially employed successfully to estimate ETo in semiarid zone.
Keywords:
Evapotranspiration, estimating, limited climatic data, neural network, feed
forward backpropagation, semiarid environment, water management
Title of
the Paper: Dynamics Modeling and Trajectory
Tracking Control for Humanoid Jumping Robot
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Authors: Zhao-Hong Xu,
Libo-Song, Tian-Sheng Lu, Xu-Yang Wang
Abstract: Jumping or running belong to a non-regular motion in humanoid robot
field. Stance phase has only the holonomic constraints, nevertheless flight
phase has the holonomic and non-holonomic constraints. The relationship
between angular moment and cyclic coordinate is analyzed by dynamics
equations. The impact model is expatiated by transferring dynamics equation
from flight phase to stance phase, and the impact force and velocity is
obtained by Jacobian matrix. The method of eliminating shock is discussed.
Finally, trajectory tracking using hybrid model of the adaptive fuzzy control
and computed torques is studied on model with parametric uncertainty. The
hybrid control system proves to be asymptotical stabilization by Lyapunov
stability theory. The numerical simulation and experimental results show
computed torque controller is valid for jumping movement.
Keywords:
jumping robot, dynamics modeling, non-regular motion, trajectory tracking
Title of
the Paper: Implementation of an Image
Retrieval System Using Wavelet Decomposition and Gradient Variation
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Authors: Kuo-An Wang,
Hsuan-Hung Lin, Po-Chou Chan, Chuen-Horng Lin, Shih-Hsu Chang, Yung-Fu
Chen
Abstract: Texture gradient is a popular operation for extracting features
used for content-based image retrieval (CBIR) of texture images. It is useful
for depicting gradient magnitude and direction of adjacent pixels in an image.
In this thesis, we proposed two methods for retrieving texture images. In the
first method, discrete wavelet transform (DWT) and gradient operation were
combined to extract features of an image with principal component analysis
(PCA) used to determine weights of individual extracted features, while in
the second method, only gradient operation without involvement of discrete
wavelet transform was used to extract features. The Brodatz Album which
contains 112 texture images, each has the size of 512×512 pixels, was used to
evaluate the performance of the proposed methods. Before experiment, each
image was cut into sixteen 128×128 non-overlapping sub-images, thus creating
a database consisting of 1792 images. Regarding the number of features, a
total of 126 features were extracted in the first method by calculating
gradients after discrete wavelet transforms of the texture image, while in
the second method only 54 features were extracted from each gradient image.
By integrating useful features, image retrieval systems for retrieving
texture images have been designed. The results show that the two proposed
methods have been demonstrated to be able to achieve better retrieval
accuracy than the method proposed by Huang and Dai. Additionally, our
proposed systems, especially the second proposed method, use fewer features
which significantly decrease the retrieval time compared to the previous
investigation.
Keywords:
Content-Based Image Retrieval, Texture, Gradient Operation, Entropy, Discrete
Wavelet Transform (DWT), Principal component analysis
Title of
the Paper: WhiteSteg: A New Scheme in
Information Hiding Using Text Steganography
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Authors: L. Y. Por, T.
F. Ang, B. Delina
Abstract: Sending encrypted messages frequently will draw the attention of
third parties, i.e. crackers and hackers, perhaps causing attempts to break
and reveal the original messages. In this digital world, steganography is
introduced to hide the existence of the communication by concealing a secret
message inside another unsuspicious message. The hidden message maybe
plaintext, or any data that can be represented as a stream of bits.
Steganography is often being used together with cryptography and offers an
acceptable amount of privacy and security over the communication channel.
This paper presents an overview of text steganography and a brief history of
steganography along with various existing techniques of text steganography.
Highlighted are some of the problems inherent in text steganography as well
as issues with existing solutions. A new approach, named WhiteSteg is
proposed in information hiding using inter-word spacing and inter-paragraph
spacing as a hybrid method to reduce the visible detection of the embedded
messages. WhiteSteg offers dynamic generated cover-text with six options of
maximum capacity according to the length of the secret message. Besides, the
advantage of exploiting whitespaces in information hiding is discussed. This
paper also analyzes the significant drawbacks of each existing method and how
WhiteSteg could be recommended as a solution.
Keywords:
Steganography,Text Steganography, Information Hiding, Security, Suspicion.
Title of
the Paper: Parameter Adjustment for Genetic
Algorithm for Two-Level Hierarchical Covering Location Problem
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Authors: Miroslav Maric,
Milan Tuba, Jozef Kratica
Abstract: In this paper the two-level Hierarchical Covering Location Problem
- HCLP is considered. A new genetic algorithm for that problem is developed,
including specific binary encoding with the new crossover and mutation
operators that keep the feasibility of individuals. Modification that
resolves the problem of frozen bits in genetic code is proposed and tested.
Version of fine-grained tournament [5] was used as well as the caching GA
technique [12] in order to improve computational performance. Genetic
algorithm was tested and its parameters were adjusted on number of test
examples and it performed well and proved robust in all cases. Results were
verified by CPLEX.
Keywords:
Genetic Algorithms, Evolutionary computing, Location problem, Hierarchical
location, Covering models
Title of
the Paper: Network Motif & Triad
Significance Profile Analyses on Software System
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Authors: Zhang Lin, Qian
GuanQun, Zhang Li
Abstract: There has been considerable recent interest in network motif for
understanding network local features, as well as the growth and evolution
mechanisms. In order to discover the local features in software networks, we
extended the network motif research methods to software domain. After
comparing triad significance profiles from 138 java open source software
packages, we found three typical kinds of network motifs. Moreover, the
software networks could be divided into 3 clusters which are consistent with
the known super-families from various other types of networks. It seems that
software scale and interaction may be the reasons causing different motif SP
distribution. The concepts，the principles and
steps associated with the experiment were elaborated, as well as the results
were analyzed and discussed, the direction for further research was given.
Keywords:
Software Network, Network Motif, Triad Significance Profile, Superfamily
Title of
the Paper: OCR
for Printed Kannada Text to Machine Editable Format using Database Approach
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Authors: B. M. Sagar, Shobha G., Ramakanth Kumar P.
Abstract: This paper describes an Optical Character Recognition (OCR) system
for printed text documents in Kannada, a South Indian language. The proposed
OCR system for the recognition of printed Kannada text, which can handle all
types of Kannada characters. The system first extracts image of Kannada
scripts, then from the image to line segmentation then segments the words
into sub-character level pieces. For character recognition we have used
database approach. The level of accuracy reached to 100%.
Keywords:
Optical Character Recognition, Segmentation, Kannada Scripts
Title of
the Paper: Establishment of Computational
Models for Clothing Engineering Design
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Authors: Amo Aihua, Li
Yi, Wang Ruomei, Lou Xiaonan
Abstract: Clothing design achieved by engineering framework and method is a
newly interest in the state of art of textile research, which may create many
advantages, such as improving the design efficiency and strengthening the
ability to consider more issues. The mathematical models describing the
behind physical and chemical mechanisms of the involved various behaviors
inside the textile materials and the interactions at its boundary with
external environment play an significant role in the clothing engineering
design system, since they are able to offer designers/users an advanced
ability to simulate and preview the function performance of the textile
products. Whereas, the assumptions and simplifications of the development of
computational models determine their potential/suitability to be developed as
CAD/simulation software for engineering design applications. Considering this
issue, the criteria for selecting suitable computational models for
engineering design purposes is of enormous importance in the development of
engineering design CAD system, and the communication sockets between the
boundaries of different models integrated for simulating the different
functions in the human body-clothing-environment system need to be developed
with scientific and accurate data flows. In this paper, with the development
of the framework of engineering design of textile product, the discussion of
models selection criteria is presented considering the behind physical mechanism,
application limitation, parameters measurability and data availability. A
critical analysis of the well known models for the thermal behaviors in the
clothing is conducted, and thermal functional engineering design systems for
textile products with the integration of different computational models as
well as boundary communication sockets are demonstrated.
Keywords:
Computational models, selection criteria, engineering design, thermal
functions, clothing
Title of
the Paper: Vehicle Number Plate Recognition
Using Mathematical Morphology and Neural Networks
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Authors: Humayun Karim
Sulehria, Ye Zhang, Danish Irfan, Atif Karim Sulehria
Abstract: This paper presents a method for recognition of the vehicle number
plate from the image using neural nets and mathematical morphology. The main
theme is to use different morphological operations in such a way so that the
number plate of the vehicle can be extracted efficiently. The method makes
the extraction of the plate independent of color, size and location of number
plate. The proposed approach can be divided into simple processes, which are,
image enhancement, morphing transformation, morphological gradient,
combination of resultant images and extracting the number plate from the
objects that are left in the image. Then segmentation is applied to recognize
the plate using neural network. This algorithm can quickly and correctly
recognize the number plate from the vehicle image.
Keywords:
Mathematical morphology, morphological gradient, vehicle number plate,
morphing transformations, image enhancement.
Title of
the Paper: Management Agent for Search
Algorithms with Surface Optimization Applications
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Authors: Jukkrit
Kluabwang, Deacha Puangdownreong, Sarawut Sujitjorn
Abstract: This paper presents a management approach applied to search
algorithms to achieve more efficient search. It acts as a management agent to
a core search unit, in which the Adaptive Tabu Search (ATS) has been applied.
The proposed management agent composes of partitioning mechanism (PM),
sequencing method (SM), and discarding mechanism to speed up the search. It
has been tested against Bohachevsky’s, Rastrigin’s and Shekel’s foxholes
functions, respectively, for surface optimization. The paper gives a review
of the ATS, detailed explanations of the PM, SM, and DM, respectively.
Comparison of the optimization results are elaborated.
Keywords:
search algorithms, management agent, partitioning mechanism, discarding mechanism,
sequencing method, adaptive tabu search
Title of
the Paper: Light Weight Log Management
Algorithm for Removing Logged Messages of Sender Processes with Little
Overhead
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Authors: Jinho Ahn
Abstract: Sender-based message logging allows each message to be logged in
the volatile storage of its corresponding sender. This behavior avoids
logging messages on the stable storage synchronously and results in lower
failure-free overhead than receiver-based message logging. However, in the
first approach, each process should keep in its limited volatile storage the
log information of its sent messages for recovering their receivers. In this
paper, we propose a 2-step algorithm to efficiently remove logged messages
from the volatile storage while ensuring the consistent recovery of the
system in case of process failures. As the first step, the algorithm
eliminates useless log information in the volatile storage with no extra
message and forced checkpoint. But, even if the step has been performed, the
more empty buffer space for logging messages in future may be required. In
this case, the second step forces the useful log information to become
useless by maintaining a vector to record the size of the information for
every other process. This behavior incurs fewer additional messages and
forced checkpoints than existing algorithms. Experimental results verify that
our algorithm significantly performs better than the traditional one with
respect to the garbage collection overhead.
Keywords:
Distributed systems, Fault-tolerance, Rollback recovery, Sender-based message
logging, Checkpointing, Garbage collection
Title of
the Paper: Deriving Ontologies using
Multi-Agent Systems
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Authors: Victoria
Iordan, Antoanela Naaji, Alexandru Cicortas
Abstract: The complex systems are designed using multi-agent concepts. Agent
interaction is complex and requires appropriate models for a communication
and cooperation. Also the interaction between the users and the system agents
must be done in an efficient way. One of the basic conditions is that to use
a convenient "language", a common way of understanding. The
ontology is the appropriate concept that allows doing it. The operations on
the ontologies cover many of such requirements. Due to the complexity of
systems interaction that has an impact on the different ontologies used in
them. Our model tries to define a specific operation deriving an ontology
form another one. The competence descriptions in education are given as an
application. The research for this paper has been partial supported by the
project PN II 91-047/2007.
Keywords:
Ontology, competence description, multi-agent systems
Title of
the Paper: Grid Computing Services for
Parallel Algorithms in Medicine and Biology
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Authors: Dragos
Arotaritei, Marius Turnea, Marius Cristian Toma, Radu Ciorap, Mihai Ilea
Abstract: The compartmental models using differential equations are basic
models in epidemiology. The temporal evolution of spatial models for epidemic
spreading is suitable for parallelization and GRID services are solutions for
speeding the algorithms used in these models. We investigate several
computational aspects of parallel algorithms used in cellular automata model
and small world networks model. The four compartmental small world network
model of disease propagation (SEIR) is parallelized. In the second
application, we have found an asymptotic solution of zero degree for a
nonlinear differential parabolic equations system with a unique, small
parameter, in a cancerous disease model. We got a cancerous cells density
using simulation in three stages according with some system parameter value.
Grid service has been constructed for these numeric simulations.
Keywords:
Epidimiological models, cancerous cells density, parallel algorithms, high
performance computing
Title of
the Paper: A Framework to Identify the
‘Motivational Factors’ of Employees; A Case Study of Pakistan IT Industry
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Authors: Muhammad Wisam
Bhatti, Ali Ahsan, Ali Sajid
Abstract: Employee motivation is one of the key drivers of success in today’s
competitive environment. Relevant literature generally explains that
motivated employees can perform their tasks much better than demotivated
workers. It is due to this reason that there is always a requirement of a
comprehensive framework that should be able to provide complete guidelines
with the help of which supervisors* should be able to identify core factors
that motivate employees. Keeping in line the requirement stated earlier, this
research paper presents a self formulated† framework i.e. ‘Imperative Motivational
Factors Framework’ (IMFF). This proposed framework familiarizes necessary
stakeholders with the core motivational factors’ identification process. The
framework takes into account very generic factors identified from various
motivational theories, society and industry. Once the generic factors are
identified then the framework formulates specific factors for a group of
employees and / or for individual employee.
Keywords:
Employee Motivation, Framework, Case
Study, Pakistan’s
IT Industry, Satisfaction, Soft Issues
Issue 7, Volume 7, July 2008
Title of the Paper: Object
Oriented Implementation Monitoring Method of Zone Feature in Land
Consolidation Engineering Using SPOT 5 Imagery
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Authors: Wei Su, Chao
Zhang, Ming Luo, Li Li, Yujuang Wang, Zhengshan Ju, Daoliang Li
Abstract: Land consolidation is an effective activity realizing the
sustainable utilization of land use, and implementation monitoring of zone
type land consolidation engineering. Funded by National High Technology
Research and Development Program of China, an object oriented monitoring
method is produced in this research. Object correlation images(OCIs) are used
to measure if a zonal objects is consolidated (i. e., changed). There are
three correction parameters are used in this study: correlation, slope and
intercept in correction analysis process, and spectral and textural (4 Grey
Level Co-occurrence matrix (GLCM) features such as Homogeneity, Contrast,
Angular second moment, Entropy) information are used in caculation of objects
correction value. This approach consists in three phases: (1)
multi-resulition image segmentation, (2) correlation analysis of two phase
remote sensing images, and (3) implementation monitoring based on segmented
correction results. Firstly,the temote sensing images before and after land
consolidation are partitioned into objects using multi-resolution
segmentation method. Secondly, correlation analysis is done between these
images. Finally, focused on these regions, implementation monitoring is done
based on the comparability of image objects in the same area resulting from
these two phase remote sensing images. Accuracy assessment results indicate
that this method can be used to monitor land consolidation engineering
implementation status, total accuracy up to 86.30%.
Keywords:
Object oriented, land consolidation engineering, implementation monitoring,
object correlation images (OCIs), image segmentation, Fangshan district
Title of the Paper: Texture
feature Extraction for Land-Cover Classification of Remote Sensing Data in
Land Consolidation District Using Semi-Variogram Analysis
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Authors: Yan Huang,
Anzhi Yue, Su Wei, Daoliang Li, Ming Luo, Yijun Jiang, Chao Zhang
Abstract: The areas of the land consolidation projects are generally small,
so the remote sensing images used in land-cover classification for the land
consolidation are generally high spatial resolution images. The spectral
complexity of land consolidation objects results in specific limitation using
pixel-based analysis for land cover classification such as farmland,
woodland, and water. Considering this problem, two approaches are compared in
this study. One is the fixed window size co-occurrence texture extraction,
and another is the changeable window size according to the result of
semi-variogram analysis. Moreover, the methodology for optimizing the
co-occurrence window size in terms of classification accuracy performance is
introduced in this study. Zhaoquanying land consolidation project is selected
as an example, which located in Shunyi District,
Beijing, China;
texture feature is extracted from SPOT5 remote sensing data in the TitanImage
development environment and involved in classification. Accuracy assessment
result shows that the classification accuracy has been improved effectively
using the method introduced in this paper.
Keywords:
Semi-variogram, Land Consolidation, Texture feature, Classification
Title of the Paper: Toward
a System for Road Network Automatic Extraction in Land Consolidation using
High Spatial Resolution Imagery
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Authors: Rui Guo, Ming
Luo, Wei Su, Daoliang Li, Yijun Jiang, Zhengshan Ju, Jun Wang
Abstract: Land consolidation is a tool for increasing the area of the arable
land and improving the effectiveness of land cultivation. This paper presents
a practical system for automatic road extraction in land consolidation to
monitor the implementation of the project. The system integrates processing
of color image data and information from digital spatial databases, takes
into account context information, employs existing knowledge including plans
of land consolidation, rules and models, and treats each road subclass
accordingly. The system was designed as three-tier construction including
interface, modules and database. The prototype system has been implemented as
a stand-alone software package, and has been tested on a large number of
images in different land consolidation areas. The parallel line segments are
firstly detected and then the improved Active Contour Models (Snakes) are
introduced to link the extracted road segments to the whole networks. The
system was pilot used in the study area of Fangshan in Beijing which achieved satisfactory
results.
Keywords:
system, road extraction, land consolidation, high spatial resolution imagery,
Snakes
Title of the Paper: Comparation
and Analysis Methods of Moderate -Resolution Satellite Remote Sensing Image
Classification
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Authors: Jinli Chen,
Ming Luo, Li Li, Daoliang Li, Chao Zhang, Yan Huang, Yijun Jiang
Abstract: Moderate resolution remote sensing images provide broad spectrum,
high spatial resolution, and rich texture information. However, most
traditional classification approaches are based exclusively on the digital
number of the pixel itself. Thereby only the spectral information is used for
the classification. But some researches have shown that pixel-based
approaches for classification of remotely sensed data are not very suitable
for the analysis of moderate resolution images.In order to get a reasonable
planning and effective management of land cover,the paper provide a new
classification and extraction method .In this paper, the object-oriented
image classification technology is used in the experiment of land cover
information extraction for CBERS-01 data, and compared with the results of
the pixel-based approaches . The results show that the Object-oriented
technique is a more suited method for moderate-resolution remote sensing
image classification and a better classification results.
Keywords:
Object-oriented, moderate-resolution, CBERS-01, land cover, classification
Title of the Paper: Spatial
Decision Support System for the Potential Evaluation of Land Consolidation
Projects
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Authors: Xiaochen Zou,
Ming Luo, Wei Su, Daoliang Li, Yijun Jiang, Zhengshan Ju, Jun Wang
Abstract: Land consolidation is the basis of making the land arrangement
special plan, meanwhile, land consolidation sub area, ascertaining land
consolidation item and setting land consolidation indices are mainly depended
on land consolidation potentiality, so it is necessary to do this research.
As the most important pattern of land consolidation, potential evaluation of
cultivated land consolidation is more essential. However as far as theoretical
and empirical researches in China’s
mainland, few discuss on the connotation and evaluation of cultivated land
consolidation potentiality. Facing present condition, in order to analyze
potentiality of cultivated land, some research is compiled in this paper.
Nowadays, spatial decision support system (SDSS) has been applied in variety
of profession and domain not only in the fundamental research but also in the
concrete project application. SDSS not only solves quantitative problems but
also deals well with the uncertain, fuzzy information. It can help
decision-makers to make sensible decisions. Facing the land consolidation
problem, aiming at evaluating the potential of land consolidation
effectively, we developed a SDSS for evaluating potential of land consolidation.
In this research, land consolidation potentiality was evaluated from the
following four parts, potential of new effective area of arable land,
potential of improving productivity, potential of reducing production costs
and potential of improving the ecological environment. In order to check the
result of the evaluation, Fuzzy Assessment Model, Gray Correlation Analysis
Model and PPE model based on RGRA are adopted in this SDSS. Through this
study, we provided to the land managers and political departments an approach
that is scientifically sound and practical.
Keywords:
land consolidation, potential evaluation, model, SDSS
Title of the Paper: Adaptive
Kalman Procedure for SAR High Resolution Image Reconstruction in the Planning
Phase of Land Consolidation
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Authors: Li Li, Ming
Luo, Chao Zhang, Wei Su, Yijun Jiang, Daoliang Li
Abstract: Remote Sensing technologies provide the spatial data/maps and offer
great advantages for a land consolidation project. But sometimes in some
regions, optics and infrared remote sensing can not work well. SAR (Synthetic
aperture radar), an active microwave remote sensing imaging radar, has the
unique capabilities of obtaining abundant electromagnetic information from
ground objects all day/all night and all weather, and penetrating some
special objects and detecting the shapes of ground objects. At this point,
SAR can meet the requirement. However, for land consolidation application,
high spatial resolution SAR images are required. To increase the spatial resolution
of SAR images, this work presents a novel approximate iterative and recurrent
approach for image reconstruction, namely adaptive Kalman Filter (KF)
procedure. Mathematical models and Kalman equations are derived. The matched
filter and Kalman Filter are integrated to enhance the resolution beyond the
classical limit. Simulated results demonstrate that the method strongly
improves the resolution by using prior knowledge, which is a scientific
breakthrough in the case that the traditional pulse compression constrains
the improvement of SAR spatial resolution. And it is also shown that it is an
optimal method in the sense of mean square error and its computation cost is
lower than the traditional Kalman Filter algorithm.
Keywords:
Land, Agriculture, Synthetic Aperture Radar, Adaptive Kalman Filter, High
Resolution, Mean Square Error, Image Reconstruction
Title of the Paper: Particle
Swarm Optimization for Multiuser Asynchronous CDMA Detector in Multipath
Fading Channel
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Authors: Jyh-Horng
Wen, Chuan-Wang Chang, Ho-Lung Hung
Abstract: A multiuser detector for direct-sequence code-division
multiple-access systems based on particle swarm optimization (PSO) algorithm
is proposed. To work around potentially computational intractability, the
proposed scheme exploits heuristics in consideration of both global and local
exploration maximum likelihood (ML). Computer simulation demonstrates that
the proposed detector offers near-optimal performance with considerably
reduced computation complexity compared with that of existing sub-optimum
detectors are presented.
Keywords:
Code-division multiple access, particle swarm optimization, evolutionary
algorithm, multiuser detection.
Title of the Paper: Load-Balance
and Fault-Tolerance for Embedding a Complete Binary Tree in an IEH with N-expansion
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Authors: Jen-Chih Lin
Abstract: Embedding is of great importance in the applications of parallel
computing. Every parallel application has its intrinsic communication
pattern. The communication pattern graph is embedded in the topology of
multiprocessor structures so that the corresponding application can be
executed. This paper presents strategies for reconfiguring a complete binary
tree in a faulty Incrementally Extensible Hypercube (IEH) with N-expansion.
This embedding algorithm show a complete binary tree can be embedded in a
faulty IEH with dilation 4, load 1, and congestion 1 such that O(n2-h2)
faults can be tolerated, where n is the dimension of IEH and (h-1) is the
height of a complete binary tree. Furthermore, the presented embedding
methods are optimized mainly for balancing the processor loads, while
minimizing dilation and congestion as far as possible. According to the
result, we can embed the parallel algorithms developed by the structure of
complete binary tree in an IEH. This methodology of embedding enables
extremely high-speed parallel computation.
Keywords:
Incrementally Extensible Hypercube, Binary tree, Load-Balance, Fault-Tolerance,
Embedding
Title of the Paper: Parallel
Crawler Architecture and Web Page Change Detection
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Authors: Divakar
Yadav,
Ak Sharma, J. P. Gupta
Abstract: In this paper, we put forward a technique for parallel crawling of
the web. The World Wide Web today is growing at a phenomenal rate. It has
enabled a publishing explosion of useful online information, which has
produced the unfortunate side effect of information overload. The size of the
web as on February 2007 stands at around 29 billion pages. One of the most
important uses of crawling the web is for indexing purposes and keeping web
pages up-to-date, later used by search engine to serve the end user queries.
The paper puts forward an architecture built on the lines of client server
architecture. It discuses a fresh approach for parallel crawling the web
using multiple machines and integrates the trivial issues of crawling also. A
major part of the web is dynamic and hence, a need arises to constantly
update the changed web pages. We have used a three-step algorithm for page
refreshment. This checks for whether the structure of a web page has been
changed or not, the text content has been altered or whether an image is
changed. For The server we have discussed a unique method for distribution of
URLs to client machines after determination of their priority index. Also a
minor variation to the method of prioritizing URLs on the basis of forward
link count has been discussed to accommodate the purpose of frequency of
update.
Keywords: Divakar Yadav, Ak
Sharma and J.P.Gupta
Title of the Paper: Application
Internet Multimedia on Region
Travel Route Information Establishment
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Authors: Tingsheng Weng
Abstract: This research applies to Alishan area which is filled with unique
and rich culture resources as the case study area. Through the applications
of information technology and multimedia techniques, a website with the
functions, such as browsing an e-book and multi-languages, integrating
particular history, people, and nature environment resources aspects of the
traffic route information have been established in Chinese, English, and
Japanese versions. The purpose of this study aims to display the
characteristic of sufficient information of this area, and to attract
tourists to understand the relationship between the eco-environment, people
and geography, and industrial development. By leading people to familiarize
nature, the study also intends to achieve several goals, such as promoting
people’s concept of the environmental protection and increasing further
understanding of local natural information, and fostering local industry
simultaneously. The discussion of the paper is also in accordance with
various information and theories the browsers can search on net. The aim of
website design in this study takes digital education into concern and improve
digital life and e-learning. By means of the information abundance, the goal
of this paper is to enhance flourishing development of culture, travel
marketing, digital education value and society.
Keywords:
Multilanguage website, Traveling and Internet, 3D, International, Digital
life, e-Learning, flow
Title of the Paper: Constraint
Satisfaction Problems Solved by Semidefinite Relaxations
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Authors: Mohamed
Ettaouil, Chakir Loqman
Abstract: We consider the constraint satisfaction problem (CSP), where the
values must be assigned to variables which are subject to a set of
constraints. This problem is naturally formulated as 0-1 quadratic knapsack
problem subject to quadratic constraint. In this paper, we present a
branch-and-bound algorithm for 0-1 quadratic programming, which is based on
solving semidefinite relaxations. At each node of the enumeration tree, a
lower bound is given naturally by the value of (SDP) problem and an upper
bound is computed by satisfying the quadratic constraint. We show that this
method is able to determine whether a (CSP) has a solution or not. Then we
give some hints on how to reduce as much as possible the initial size of the
(CSP). Some numerical examples assess the effectiveness of the theoretical
results shown in this paper, and the advantage of the new modelization.
Keywords:
Constraint satisfaction problem, 0-1 Quadratic knapsack problem, SDP relaxation,
Branch-and-bound, Filtering algorithms.
Title of the Paper: Design
and Implementation of a Cipher System (LAM)
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Authors: Panagiotis
Margaronis, Emmanouil Antonidakis
Abstract: This paper presents the design and implementation of a digital
integrated encryption/decryption circuitry called LAM which is based on
Peripheral Component Interconnect (PCI) Architecture for a Personal Computer
(PC) communication card. The implementation of a hardware PC cryptography
card has been designed using a Field Programmable Gate Array (FPGA) chip in
combination with the PCI Bus. The main objective of this paper is to provide
the reader with a deep insight of the design of a digital cryptographic
circuit, which was designed for a FPGA chip with the use of Very (High-Speed
Integrated Circuit) Hardware Description Language (VHDL) for a PCI card. A
demonstration of the LAM circuitry will be presented. To see the effect of
the LAM cryptography in the operation of the card, it was also simulated and
analyzed. The Simulations were run under various conditions, which are
applicable to most PCI applications.
Keywords:
Hardware, Security, Communication, Computer, Design, Architecture
Title of the Paper: Optimizing
Energy Consumption of Data Flow in Mobile Ad
Hoc Wireless Networks
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Authors: Haiyang Hu, Hua
Hu
Abstract: Because of the limited node battery power, energy optimization is
important for the mobile nodes in wireless ad hoc networks. Controlled node
mobility is an effective approach to reduce the communication energy
consumption while the movement itself also consumes energy. Based on
cooperative communication (CC) model, this paper takes the energy consumption
of node movement and their individual residual energy into account, and then
proposes localized algorithms for directing mobile node mobility and adapting
their transmission power dynamically in mobile ad hoc networks. Compared with
other algorithms by simulation, our mechanism named DEEF shows its efficiency
in improving the system lifetime.
Keywords:
ad hoc networks; node mobility; cooperative communication; energy
consumption; multi-flow; local algorithm
Title of the Paper: Video-based
Wireless Sensor Networks Localization Technique Based on Image Registration
and SIFT Algorithm
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Authors: Daniela
Fuiorea, Vasile Gui, Dan Pescaru, Petronela Paraschiv, Istin Codruta, Daniel
Curiac, Constantin Volosencu
Abstract: Localization discovery techniques are required by most Wireless
Sensor Networks applications. Moreover, in case of video surveillance,
localization includes not only spatial coordination but also cameras
direction and video-field overlap estimation. Accurate methods involve
expensive and power consuming hardware. This paper presents an efficient node
localization including video-field overlap estimation that employs image
registration in order to align images quasi-simultaneously acquired from
different video sensors. A SIFT algorithm is used to discover common features
between pairs of images. Experimental and simulation evaluation shows the
estimation accuracy comparing with a manual approach.
Keywords:
wireless sensor networks, topology, localization, deployment, image
processing, image registration, SIFT
Title of the Paper: Measuring
with Ultra-Low Power Wi-Fi Sensor Tags in LabVIEW
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Authors: Tom Savu,
Marius Ghercioiu
Abstract: G2 Microsystems of Campbell, California, USA, released in 2007 the
first ever ultra-low power Wi-Fi System on a Chip (SoC) named G2C501. This
SoC includes a 32-bit CPU, crypto accelerator, real-time clock and a
versatile sensor interface that can serve as a standalone host subsystem. The
G2C501 goes beyond today’s basic radio frequency identification (RFID)
technology to offer intelligent tracking and sensor capabilities that
leverage IEEE 802.11 (Wi-Fi) networks. Due to its support for multiple
location technologies, small form factor and ultra-low power consumption, the
G2C502 SoC can be integrated into Wi-Fi sensor tags that lower cost of
ownership and meet the needs of a variety of industries including consumer
electronics, pharmaceuticals, chemical manufacturing, cold chain and more.
A battery powered, small size ultra low-power Wi-Fi wireless measurement node
name IP Sensor has been built using the G2C501 SoC. Sensors for measurement
of temperature, humidity, light, and vibration or motion are currently
mounted on the IP Sensor board. The node is able to read a sensor and send
data to the network by using an IP-based application protocol such as UDP.
This paper describes the new IP Sensor device and gives a programming
methodology using LabVIEW.
Keywords:
Wi-Fi sensors, System on a Chip (SoC), ultra-low power, LabVIEW
Title of the Paper: Business
Intelligence Applications for University Decision Makers
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Authors: Carlo
Dell'Aquila, Fransesco Di Tria, Ezio Lefons, Filippo Tangorra
Abstract: The development of a Business Intelligence Application starts with
the execution of OLAP queries to extract information from data stored in a
Data Warehouse. The results of these queries, together with an opportune data
representation, offer a deep synthesis of data and help business users to
better discover hidden knowledge than using conventional database queries.
Nowadays, information discovery is getting more and more important also in
academic environments, because internal evaluation teams have to provide the
guidelines to improve the quality of both Didactics and Research. In this paper,
we present an approach to implement Business Intelligence technology in the
University context. The architecture of the data warehouse and examples of
analytic queries for the didactics management are also presented and
discussed.
Keywords:
Data warehouse (DW), Data mart (DM), Online analytical processing (OLAP),
Academic application.
Title of the Paper: A
Tool for the Creation and Management of Level-of-Detail Models for 3D
Applications
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Authors: Oscar Ripolles,
Francisco Ramos, Miguel Chover, Jesus Gumbau, Ricardo Quiros
Abstract: Real-time visualization of 3D scenes is a very important feature of
many computer graphics solutions. Current environments require complex scenes
which contain an increasing number of objects composed of thousands or even
millions of polygons. Nevertheless, this complexity poses a problem for
achieving interactive rendering. Among the possible solutions,
stripification, simplification and level of detail techniques are very common
approaches to reduce the rendering cost. In this paper, we present set of
techniques which have been developed for offering higher performance when
rendering 3D models in real-time applications. Furthermore, we also present a
standalone application useful to quickly simplify and generate
multiresolution models for arbitrary geometry and for trees.
Keywords:
Computer graphics, level of detail, simplification, triangle strips,
multiresolution, tree rendering
Title of the Paper: Using
Computer-aided Techniques in the Dynamic Modeling of the Human Upper Limb
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Authors: Antoanela Naaji
Abstract: The wide mobility of human body leads to the necessity of modeling
the osteoarticular system as a mechanism with a large number of degrees of
freedom. Dynamic modeling of osteoarticular system is necessary because the
exertion of various actions and natural physiological movements are
essentially dynamic. Very often we use a simplified model because the
phenomena produced are so complex that accurate mathematical reproduction is
practically impossible. A dynamic model must provide a good estimate of total
weight and mass distribution as well as transmissibility and amortization
proprieties for bones, muscles, joints, blood and skin.
The paper presents a dynamic functional model considering the human upper
limb as a mechanic system with 5 degrees of freedom in the case the segments
are moved by their own weight forces. The bones and the muscles were modeled
in Solid Works, the model of the upper limb obtained being very close as form
to the real one. Based on this model, the calculus of mass proprieties was
made. The differential equations of motion obtained were solved using
Lagrange formalism.
Keywords:
Modeling, Human upper limb, Dynamic model, Osteoarticular system
Title of the Paper: Building
Three Dimensional Maps based on Cellular Neural Networks
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Authors: Michal
Gnatowski, Barbara Siemiatkowska, Rafal Chojecki
Abstract: One of the main problem in robotics is map building. In the article
3D map building based on 3D laser data is presented. The data is obtained
from a SICK laser mounted on a rotating support what gives a 3D
representation of the scene. The map is divided into cells and each cell
represents a certain area of the scene and keeps a list of objects.
This is a real-time system, which consumes little computer memory and works
properly in indoor environment.
Keywords:
Modeling, Human upper limb, Dynamic model, Osteoarticular system
Title of the Paper: Software
Simulation for Femur Fractures in Case of Frontal Car Accidents
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Authors: Cris Precup, Antoanela
Naaji, Csongor Toth, Arpad Toth
Abstract: According to a study carried out by one of the authors at the
County Clinical
Emergency Hospital
in Arad, over
40% of the accidents resulting in femur fracture take place on roads and
highways.
This work briefly presents these results, and on the basis of bibliographical
data regarding the mechanical behavior of bones and the classification of
femur fractures occurring in expert literature, a simulation program of these
fractures in the case of car accidents.
The aim of the program is to determine the pressure at which the femur is
fractured in different conditions of mass and speed of the vehicle, braking
distance, age of the victim, femur size, etc. The use of this program
represents an exemplification method, as an alternative to direct expertise
at the site.
Keywords:
Simulation, Model, Femur, Biomechanics, Fractures
Title of the Paper: Robot
Mapping and Map Optimization Using Genetic Algorithms and Artificial Neural
Networks
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Authors: Inci Cabar,
Sirma Yavuz, Osman Erol
Abstract: This paper is about an autonomous robot map creation and
optimization algorithm. To create the map, calibrated sensor data transfered
to the x-y coordinate system were used. Afterwards we tried to otimize the
anomalies of the map with different methods as artificial neural networks,
genetic algorithms.
Keywords:
Robot Map, Genetic Algorithm, Artificial Neural Networks, Autonomous Robot,
Three-Wheeled Robot, Map Optimization, DBSCAN, Robot Kinematics, Sensor
Calibration, Mapping
Title of the Paper: Modern
Approaches in Detection of Page Separators for Image Clustering
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Authors: Costin-Anton
Boiangiu, Dan-Cristian Cananau, Andrei-Cristian Spataru
Abstract: This paper describes a model for detecting all types of separators
on a document page and combining the results towards obtaining elements
clusters on every document image page. The separators are determined by using
various methods as for example the Delaunay triangulation. The physical
layouts of the documents are always hard to extract, but determining the
simplest separators found in most documents is the starting point for correct
layout detection.
Keywords:
automatic content conversion, Delaunay triangulation, separator detection,
line detection, contour points, neighborhood relations, white-space
detection, page clustering
Title of the Paper: Methods
of Bitonal Image Conversion for Modern and Classic Documents
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Authors: Costin-Anton
Boiangiu, Andrei-Iulian Dvornic
Abstract: Bitonal conversion is a basic preprocessing step in Automatic
Content Analysis, a very active research area in the past years. The
information retrieval process is performed usually on black and white
documents in order to increase efficiency and use simplified investigation
techniques. This paper presents a number of new modern conversion algorithms
which are aimed at becoming an alternative to current approaches used in the
industry. The proposed methods are suitable for both scanned images and
documents in electronic format. Firstly, an algorithm consisting of a
contrast enhancement step, followed by a conversion based on adaptive
levelling of the document is presented. Then a new multi-threshold technique
is suggested as a solution for noise interferences, a common feature of
scanned books and newspapers. Finally, three more approaches adapted to the
particular properties of electronic documents are introduced. Experimental
results are given in order to verify the effectiveness of the proposed
algorithms.
Keywords:
automatic content analysis, electronic documents, bitonal conversion,
information retrieval, noise, scanned images, contrast enhancement
Title of the Paper: Normalized
Text Font Resemblance Method Aimed at Document Image Page Clustering
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Authors: Costin-Anton
Boiangiu, Andrei-Cristian Spataru, Andrei-Iulian Dvornic, Dan-Cristian
Cananau
Abstract: This paper describes an approach towards obtaining the normalized
measure of text resemblance in scanned images. The technique, aimed at
automatic content conversion, is relying on the detection of standard
character features and uses a sequence of procedures and algorithms applied
sequentially on the input document. The approach makes use solely of the
geometrical characteristics of characters, ignoring information regarding
context or the character-recognition.
Keywords:
automatic content conversion, text characteristics, font size, boldness,
italic, texture measurements
Title of the Paper: Software
Simulation for Femur Fractures in Case of Frontal Car Accidents
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Authors: Cris Precup,
Antoanela Naaji, Csongor Toth, Arpad Toth
Abstract: According to a study carried out by one of the authors at the
County Clinical
Emergency Hospital
in Arad, over
40% of the accidents resulting in femur fracture take place on roads and
highways.
This work briefly presents these results, and on the basis of bibliographical
data regarding the mechanical behavior of bones and the classification of
femur fractures occurring in expert literature, a simulation program of these
fractures in the case of car accidents.
The aim of the program is to determine the pressure at which the femur is
fractured in different conditions of mass and speed of the vehicle, braking
distance, age of the victim, femur size, etc. The use of this program
represents an exemplification method, as an alternative to direct expertise
at the site.
Keywords:
Simulation, Model, Femur, Biomechanics, Fractures
Issue 8, Volume 7, August 2008
Title of the Paper: A
Synopsis of Sound - Image Transforms based on the Chromaticism of Music
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Authors: Dionysios
Politis, Dimitrios Margounakis
Abstract: Numerous algorithms have been proposed for image to sound and sound
to image transforms. Based on heuristic assignments of sound frequencies to
RGB values, they perform effective mappings between musical entities (notes)
and values for optical wavelengths. In this paper, the chromaticism of the
sound domain is taken into account and the coloring of the performed music is
depicted for interrelated sound segments that have acoustic polymorphism and
form entities of pitch organization. This algorithm helps visualize musical
files according to their melodic structure and not only according to their
temporal characteristics (i.e. rhythm).
Keywords:
Sound to Image Transforms, Visualizations, Chromatic Index of Music.
Title of the Paper: Laboratory
Integrated Schema
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Authors: Panagiotis
Kalagiakos
Abstract: The IHE initiative for clinical laboratories defines an
architecture that promotes understanding, usability and reusability among the
laboratories. The primary goal is to ensure that medical information is
correct and on time to the healthcare professionals. The IHE attempt does not
define new standards but uses well established existing standards like HL7,
ASTM, DICOM, ISO, IETF, OASIS, CLSI in a strict framework and defines
specific implementations of the standards to achieve integration goals of
clinical laboratories. The functional components of a healthcare system are
called Actors. Actors interact through transactions. The schema produced by
IHE is based on the notion of Integration Profile and is comprised of Actors.
The goal of this paper is to present the clinical laboratories integration
profiles as a sequence of transactions between actors. The set of Workflow
Integration Profiles involving clinical laboratories, clinical wards and
other teams within healthcare institutions to fully integrate diagnostic
testing on in vitro specimens are presented together with a Content
Integration Profile; the Content Integration Profile enables clinical
laboratories (local, regional or national) as well as standalone laboratories
to share their result reports.
Keywords:
LTW, LDA, LPOCT, LCSD
Title of the Paper: Characterization
of Ag-PEO10LiCF3SO3-PolyPyrrole-Au Neural
Switch
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Authors: Mahmoud Z.
Iskandarani
Abstract: The design, build and characterization of a semiconducting, organic
neural switch are carried out.
Voltage-Current characteristics for an ionic-electronic interacting neural
switch are presented. Neural Switch characteristics analyzed using an electronic
equivalent circuit model. The model is proved to describe to a great degree
of soundness the interacting mechanism between the used materials.
Programmability of the switch is proved to be bi-directional and reversible
with hysterisis effect which is due to excess charge storage, with a behavior
similar to a biological Synapse.
Keywords:
Neural, modeling, Synapse, Memory, Information Processing, Polymers,
Computing, Intelligence
Title of the Paper: Anti-Counterfeit
Ownership Transfer Protocol for Low Cost RFID System
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Authors: Chin-Ling Chen,
Yu-Yi Chen, Yu-Cheng Huang, Chen-Shen Liu, Chia-I Lin, Tzay-Farn Shih
Abstract: Radio Frequency Identification (RFID) is a new technology. In
recent years, it is convenient and feasible in many applications. However, it
also addresses many security issues which are worth discussing. The
Counterfeit imposes a menace to industry worldwide, and the problem is not
specific for certain products or countries. In 2003, Koh et al. describe a
RFID system based on “track and trace” solution to apply into pharmaceutical
supply chain management to fight the counterfeit. Moreover, there are
applications to solve malicious manner were presented. But there always still
existed some disputes and not conform Class 1 Generation 2 (C1G2) standards.
Unfortunately, the trick is changeable. The Koh et al.’s scheme is at premise
rather primitive. In order to tackle this problem, we propose an
anti-counterfeit ownership transfer protocol for low cost RFID system. We
only use a tag to be a storage media. The proposed scheme can ensure a secure
transaction.
Keywords:
security; digital signature; authentication; Anti- counterfeit; ownership
transfer; RFID; EPC
Title of the Paper: DDoS
Attacks Detection Model and its Application
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Authors: Muhai Li, Ming
Li, Xiuying Jiang
Abstract: With the proliferation of Internet applications and network-centric
services, network and system security issues are more important than before.
In the past few years, cyber attacks, including distributed denial-of-service
(DDoS) attacks, have a significant increase on the Internet, resulting in
degraded confidence and trusts in the use of Internet. However, the present
DDoS attack detection techniques face a problem that they cannot distinguish
flooding attacks from abrupt changes of legitimate activity. In this paper,
we give a model for detecting DDoS attacks based on network traffic feature
to solve the problem above. In order to apply the model conveniently, we
design its implementation algorithm. By using actual data to evaluate the
algorithm, the evaluation result shows that it can identify DDoS attacks.
Keywords:
Algorithm, Attack, Application, DDoS, Detection, Modal
Title of the Paper: Topics
Related with the Wind Turbine
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Authors: Jose De Jesus
Rubio-Avila,
Andres Ferreyra-Ramirez, Fernando Baruch, Santillanes-Posada, Martin
Salazar-Pereyra, Genaro Deloera-Flores
Abstract: In this paper we present the modeling of a wing turbine, using the
Euler Lagrange method and circuits theory. We get the mathematical equation
(modeling) that describes the wind turbine and we simulate it using the
mathlab program. We leave this result as a contribution and an opened line to
continue the researching in the field of the renewable energies in our
country.
Keywords:
Wind turbine, Modeling, Simulation.
Title of the Paper: The
Clustering Algorithm for Nonlinear System Identification
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Authors: Jose De Jesus
Rubio Avila,
Andres Ferreyra Ramirez, Carlos Aviles-Cruz, Ivan Vazquez-Alvarez
Abstract: A new on-line clustering fuzzy neural network is proposed. In the
algorithm, structure and parameter learning are updated at the same time.
There is not difference between structure learning and parameter learning. It
generates groups with a given radius. The center is updated in order to get
that the center is near to the incoming data in each iteration, in this way,
It does not need to generate a new rule in each iteration, i.e., it does not
generate many rules and it does not need to prune the rules.
Keywords:
Clustering algorithm, Fuzzy systems, Modeling, Identification.
Title of the Paper: Using
Genetic Algorithms to Find New Color Transformations for JPEG-2000 Image
Compression
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Authors: Mohammed S.
Al-Rawi, Abdel-Latif Abu-Dalhoum, Yousef Salah, Wesam Al-Mobaideen, Ansar
Khoury
Abstract: Image compression techniques play an important role in multimedia
applications. The JPEG-2000 which is based on the wavelet transform is a
promising image compression technique expected to replace the current
discrete cosine transform based compression known as JPEG. In this paper,
genetic algorithms are used to optimize the coefficients of the RGB to YCbCr
color transform used in JPEG-2000 and to find alternate color transforms.
Color transformation in JPEG-2000 is an early phase of the compression
process intended to improve the compression performance. The matrix elements
are optimized using fitness functions based on the root mean square error
between the original and the reconstructed image. The resultant color
transformations revealed an enhancement in the JPEG-2000 codec by.
Keywords:
Genetic Algorithms, Irreversible Color Transform, Reversible Color Transform,
JPEG2000, Image Compression, Wavelet Transform, ITU-R, jasper.
Title of the Paper: Grid
Workflows Specification and Verification
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Authors: P. Kurdel, J.
Sebestyenova
Abstract: Grids are being adopted and developed in several scientific
disciplines that deal with large-scale collaboration, massive distributed
data, and distributed computing problems. The service orchestration is a
problem of making multiple services coordinate themselves and communicate in
an orderly fashion so as to accomplish a task more complex than the single
tasks provided by the individual composing services. Composition is devoted
to the aim of connecting services in a collaborative fashion. A Grid workflow
system is a type of application-level Grid middleware that is supposed to
support modelling, redesign and execution of large-scale processes. A grid workflow
can be represented by a grid workflow graph, where nodes correspond to
activities and edges correspond to dependencies between activities, called
flows. Verification is usually based on an extension of a kind of formal
method. Grid workflow verification and validation must be conducted so that
we can identify any violations of the correctness in workflow specification
and consequently remove them in time.
Keywords:
Distributed computing, Grid infrastructure, Service orchestration, Workflow
management system, Verification, Web portal
Title of the Paper: Better
Learning of Supervised Neural Networks Based on Functional Graph – An
Experimental Approach
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Authors: Joseph Raj V.
Abstract: Multilayered feed forward neural networks possess a number of
properties which make them particularly suited to complex problems. Neural
networks have been in use in numerous meteorological applications including
weather forecasting. As Neural Networks are being more and more widely used
in recent years, the need for their more formal definition becomes
increasingly apparent. This paper presents a novel architecture of neural
network models using the functional graph. The neural network creates a graph
representation by dynamically allocating nodes to code local form attributes
and establishing arcs to link them. The application of functional graph in
the architecture of Electronic neural network and Opto-electronic neural
network is detailed with experimental results. Learning is defined in terms
of functional graph. The proposed architectures are applied in weather forecasting
and X-OR problem. The weather forecasting has been carried out based on
various factors consolidated from meteorological experts and documents. The
inputs are temperature, air pressure, humidity, cloudiness, precipitation,
wind direction, wind speed, etc., and outputs are heavy rain, moderate rain
and no rain. The percentage of correctness of the weather forecasting of the
conventional neural network models, functional graph based neural network
models and the meteorological experts are compared.
Keywords:
Back propagation, Convergence, Functional Graph, Neural network, Optical
neuron, Weather forecasting
Title of the Paper: GSM
Mobile SMS/MMS using Public Key
Infrastructure: m-PKI
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Authors: Nor Badrul
Anuar, Lai Ngan Kuen, Omar Zakaria, Abdullah Gani, Ainuddin Wahid Abdul
Wahab
Abstract: Presently, mobile handheld device has successfully replaced
traditional telephone to become the most popular wireless communication
tools. Mobile Short Message Service (SMS) and Multimedia Message Service
(MMS) fulfill almost all the user requirements as an effective communication
and information delivering service. Since SMS/MMS become so popular on daily
communication, there is a demand to communicate or exchange confidential
information in a secure environment. Public Key Infrastructure (PKI) is a
proven solution, which using pairing of key, for secure communication
encryption. In this paper, m–PKI is introduced to provide PKI encryption to
the mobile SMS and MMS. This new approach allows the end-user to send private
and classified message via SMS. The key pair generation and distribution are
performed by the Certificate Authority (CA). The size of the key pair are
studied and decided by the tradeoff between performance and security.
Keywords:
cryptography, message classification, PKI, SMS/MMS, RSA
Title of the Paper: Software
Project Management: New Analysis of Specific Engineering and Management
Processes in Modern Graphical Printing Industry Production
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Authors: Vladimir
Simovic
Abstract: Proper and effective Software Project Management (SPM) is usually
the most important factor in the outcome of a project for many companies in
“modern graphical printing industry production” (MGPIP) and their project
engineers and managers [7]. Article opens new analytical directions for
proper management of the software project in MGPIP, which can be one of the
important reasons for success. By using effective project management
techniques a project manager can improve the chances of success in graphical
printing production. Problem is how to analytically combine these techniques
into a practical and best effective workable process? For effective solution
one need a balanced process that covers the management and production of the
entire project from inception to completion. This work proposes that only few
simulation models (and stochastic simulations) can analytically (and on
scientific research basis) solve specific management and engineering
organisational, controlling and monitoring problems of SPM in MGPIP.
Mentioned simulation models are bases for simulations of components of whole
graphical production process, from digital records arrivals to finished
printing plate. Why to simulate components of whole graphical production
process, from digital records arrivals to finished printing plate? Possible
important answer is that nowadays MGPIP is in a time of big changing of
(especially “mass printing”) production technology in a way of to integration
traditional printing with digital printing, and moving in the space of
digital printing for internet, intranet and for wide web systems usage [5].
This research solve some practical problems of MGPIP in accordance with the
stated before, and this paper shows the result of a scientific comparison of
the existing practical systems that function in different ways in MGPIP of
famous Croatian printing house “Vjesnik” Zagreb and largest Croatian (daily
news) publishing house EPH (“Europapress Holding”) Zagreb, but whose main aim
is offering solution contents, knowledge, information, etc., and to reach as
many users as possible by means of this and similar solutions. This research
was part of main Scientific research named “Analytical Model for Monitoring
of New Education Technologies for Long Life Learning“ conducted by Ministry
of Science, Education and Sports of the
Republic of Croatia
(Registered Number 227-2271694-1699).
Keywords:
Software Project Management, Stochastic Simulation, Modern Graphical Printing
Industry Production
Title of the Paper: Developing
Multi-User Online Games with Agents
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Authors: Agostino Poggi
Abstract: This paper presents a software framework able to extend the
coverage of virtual communities across the boundaries of the everyday
Internet by providing ubiquitous and integrated access to applications
regardless of the users connecting though conventional, fixed-network
computers, mobile, wireless-network devices or even interactive digital
television set-top boxes. This software framework is an extension of the JADE
multiagent development environment and has been experimented for the
realization of a special kind of virtual community applications, i.e.,
multi-user online games.
Keywords:
Multi-agent systems, Mobile devices, DTV, Multi-games, Java.
Title of the Paper: A
Fast and Robust Method for the Identification of Face Landmarks in Profile
Images
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Authors: Andrea Bottino, Sandro Cumani
Abstract: Several applications in Computer Vision, like recognition,
identification, automatic 3D modeling and animation and non conventional
human computer interaction require the precise identification of landmark
points in facial images. Here we present a fast and robust algorithm capable
of identifying a specific set of landmarks on face profile images. First, the
face is automatically segmented from the image. Then, the face landmarks are
extracted. The algorithm is based on the local curvature of the profile
contour and on the local analysis of the face features. The robustness of the
presented approach is demonstrated by a set of experiments were ground truth
data are compared with the result of our algorithm. A percentage of 92%
correct identification and a mean error of 3.5 pixels demonstrate the
robustness of the approach, which is of paramount importance for several
applications.
Keywords:
silhouettes, profile images, face landmark, robust identification
Title of the Paper: Hierarchical
Localization Strategy for Wireless Sensor Networks
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Authors: Tzay-Farn Shih, Wei-Teng Chang
Abstract: Wireless Sensor Network (WSN) is an emerging network technology.
Among the varying research focused upon WSN, Location-Aware is a topic worthy
of study. We are putting forward a hierarchical localiza-tion strategy. By
using wireless localization and a few GPS, sensor networks can be more
economical and localization can be more accurate. Our strategy includes two
aspects: first, getting a relatively good measure-ment error value from the
survey distance between two nodes by way of simple statistics and then
correcting the survey distance to get a more accurate node location; second,
using relaying nodes to fulfill hierarchical positioning strategy. The
advantage of these methods is that they can reduce cost in the considerable
extra hardware common in sensor networks. Through simulation experiment, the
evidence confirmed the proposed methods can effectively improve localization
accuracy and enhance the localization rate of estimated nodes.
Keywords:
Wireless Sensor Network; GPS; Wireless Ad Hoc network; AOA; TOA; TDOA
Title of the Paper: Location-Based
Multicast Routing Protocol for Mobile Ad Hoc
Networks
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Authors: Tzay-Farn Shih,
Chao-Cheng Shih, Chin-Ling Chen
Abstract: Wireless network offers freedom moving around the effective
transmission area and the flexibility and easy to use function for Internet
application. Many applications of computer network involve multiple users
that will rely on the ability of the network to provide multicast services.
Thus, multicasting will be concerned as an essential part of Ad Hoc networks.
Some of the proposed routing algorithms require maintaining a global network
state at each node, the imprecision of global state and the large amount of
storage and communication overhead induce poor scalability. In this paper, we
propose a distributed cluster-based QoS multicast routing algorithm which
only requires maintaining a local state at each node. The location
information provided by positioning device is aided in route discovery and
route maintenance procedure. Our protocol partitions the network into square
clusters. In each cluster, a cluster head and gateways are selected by a
cluster head selection algorithm and a gateway selection algorithm
respectively. After the construction of cluster heads and gateway nodes, a
distributed computation collectively utilizes the local state information to
construct multicast tree in a hop-by-hop basis. Simulations are conducted to
evaluate the performance of our algorithm. As it turns out, our protocol has
better performance and lower routing overhead than the non-cluster based
algorithm.
Keywords: Mobile ad hoc networks, Multicasting, QoS, GPS,
Proactive routing, Reactive routing
Title of the Paper: Performance
and Reliability Analysis of New Fault-Tolerant Advance Omega Network
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Authors: Rita Mahajan, Renu Vig
Abstract: The performance and fault tolerance are two very crucial factors in
designing interconnection networks for a multiprocessor system. A new type of
MIN, Fault Tolerant Advanced Omega network, which using 4×4 switches, is
proposed on the basis of the idea of the Delta network and the Omega network.
In this paper, it is proved that 4×4 switches have the better
performance/cost ratios than 2×2 switches based on the current level of the
VLSI technology. This paper expounds its topological properties and routing
algorithm and makes performance/cost ratios comparisons. The mathematical
analysis approach is used here to find the probability of acceptance and
bandwidth with change in traffic. Furthermore reliability analysis of
Fault-Tolerant Advanced Omega Network (FTAON) is discussed in detail, It is
seen that FTAON is more reliable and cost effective than other previously
proposed MINs of similar class. It has been also observed that it has fault
tolerant and nonblocking capability in complex parallel systems.
Keywords:
Interconnection Network, Advanced Omega Network, Fault-Tolerance,
Reliability.
Title of the Paper: Performance
Review of Taiwanese IC Design Industry: DEA-based Malmquist Productivity
Measure
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Authors: Wei-Hwa Pan,
Yuan-Yao Feng, Yueh-Chuen Huang, Yan-Kwang Chen
Abstract: The total revenue of Taiwan's
IC design industry is now the second in the world, only behind the United States.
To keep pace with abroad leaders, continually innovating by the IC design
companies to main-tain and enhance their performance is the most import for
obtaining the sustainable competitive advantage. This paper is concerned with
a study on exploring the performance of Taiwan's IC design industry,
including the managerial and productive technical efficiencies and their
change over time. Data envelopment analysis (DEA)-based Malmquist method was
employed to analyze the financial and non-financial data of 72 companies,
from the financial panel listed in Taiwan Stock Exchange market, and examine
the performance of these com-panies over the period from 2003 to 2005.
Accordingly, IC design companies can recognize which function is important to
their performance and which function can be further improved to achieve
competitive advantage in the industry.
Keywords:
Data envelopment analysis, Malmquist productivity, Efficiency, IC design
industry
Title of the Paper: T-Detector
Maturation Algorithm with Overlap Rate
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Authors: Jungan Chen,
Wenxin Chen, Feng Liang
Abstract: A parameter called overlap rate is proposed to control the number
of valid detectors generated for a T-detector Maturation Algorithm. The
achieved algorithm TMA-OR can reduce the number of detectors for abnormal
detection. Experiment results show that TMA-OR is more effective than
V-detector algorithms such as naive estimate and hypothesis testing method
and can be applied on different data sets.
Keywords:
Artificial immune system, overlap rate, match range
Title of the Paper: StegCure:
A Comprehensive Steganographic Tool using Enhanced LSB Scheme
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Authors: L. Y. Por, W. K.
Lai, Z. Alireza, T. F. Ang, M.T. Su, B. Delina
Abstract: Protected and encrypted data sent electronically is vulnerable to
various attacks such as spyware and attempts in breaking and revealing the
data. Thus, steganography was introduced to conceal a secret message into an
unsuspicious cover medium so that it can be sent safely through a public
communication channel. Suspicion becomes the significant key determinant in
the field of steganography. In other words, an efficient stegnographic
algorithm will not cause any suspicion after the hidden data is embedded.
This paper presents an overview of steganography on GIF image format in order
to explore the potential of GIF in information hiding research. A platform,
namely StegCure is proposed by using an amalgamation of three different Least
Significant Bit (LSB) insertion algorithms that is able to perform
steganographic methods. This paper explains about the enhancement of the
Least Significant Bits (LSB) insertion techniques from the most basic and
conventional 1 bit to the LSB colour cycle method. Various kinds of existing
steganographic methods are discussed and some inherent problems are
highlighted along with some issues on existing solutions. In comparison with
the other data hiding applications, StegCure is a more comprehensive security
utility where it offers user-friendly functionality with interactive graphic
user interface and integrated navigation capabilities. Furthermore, in order
to sustain a higher level of security, StegCure has implemented a Public Key
Infrastructure (PKI) mechanism at both sender and receiver sites. With this
feature, StegCure manages to restrict any unauthorized user from retrieving
the secret message through trial and error. Besides, we also highlight a few
aspects in LSB methods on image steganography. At the end of the paper, the
evaluation results of the hybrid method in StegCure are presented. The future
work will be focused in assimilation of more diversified methods into a whole
gamut of steganography systems and its robustness towards steganalysis.
Keywords:
steganography, GIF, security, information hiding, least significant bit, LSB.
Title of the Paper:
Orthogonal Array
Application for Optimal Combination of Software Defect Detection Techniques
Choices
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Authors: Ljubomir Lazic, Nikos Mastorakis
Abstract: In this paper, we consider a problem that arises in black box
testing: generating small test suites (i.e., sets of test cases) where the
combinations that have to be covered are specified by input-output parameter
relationships of a software system. That is, we only consider combinations of
input parameters that affect an output parameter, and we do not assume that
the input parameters have the same number of values. To solve this problem,
we propose interaction testing, particularly an Orthogonal Array Testing
Strategy (OATS) as a systematic, statistical way of testing pair-wise
interactions. In software testing process (STP), it provides a natural
mechanism for testing systems to be deployed on a variety of hardware and
software configurations. The combinatorial approach to software testing uses
models to generate a minimal number of test inputs so that selected
combinations of input values are covered. The most common coverage criteria
are two-way or pairwise coverage of value combinations, though for higher
confidence three-way or higher coverage may be required. This paper presents
some examples of software-system test requirements and corresponding models
for applying the combinatorial approach to those test requirements. The
method bridges contributions from mathematics, design of experiments,
software test, and algorithms for application to usability testing. Also,
this study presents a brief overview of the response surface methods (RSM)
for computer experiments available in the literature. The Bayesian approach
and orthogonal arrays constructed for computer experiments (OACE) were
briefly discussed. An example, of a novel OACE application, to STP
optimization study was also given. In this case study, an orthogonal array
for computer experiments was utilized to build a second order response
surface model. Gradient-based optimization algorithms could not be utilized
in this case study since the design variables were discrete valued. Using
OACE novel approach, optimum combination of software defect detection
techniques choices for every software development phase that maximize all
over Defect Detection Effectiveness of STP were determined.
Keywords:
Software testing, Opzimization, Design of Experiments, Orthogonal array
Title of the Paper: Datapath
Error Detection with No Detection Latency for High-Performance
Microprocessors
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Authors: Yung-Yuan Chen,
Kuen-Long Leu, Kun-Chun Chang
Abstract: Error detection plays an important role in fault-tolerant computer
systems. Two primary parameters concerned for error detection are the
coverage and latency. In this paper, a new, hybrid error-detection approach
offering a very high coverage with zero detection latency is proposed to
protect the data paths of high-performance microprocessors. The feature of
zero detection latency is essential to real-time error recovery. The hybrid
error-detection approach is to combine the duplication with comparison,
triple modular redundancy (TMR) and self-checking mechanisms to construct a
formal framework, which allows the error-detection schemes of varying
hardware complexity, performance and error-detection coverage to be
incorporated. An experimental 32-bit VLIW core was employed to demonstrate
the concept of hybrid detection approach. The hardware implementations in
VHDL and simulated fault injection experiments were conducted to measure the
interesting design metrics, such as hardware overhead, performance
degradation and error-detection coverage.
Keywords:
Concurrent error detection, error-detection coverage, error-detection
latency, fault injection, hybrid detection approach.
Title of the Paper: A
Novel Boolean Algebraic Framework for Association and Pattern Mining
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Authors: Hatim A.
Aboalsamh
Abstract: Data mining has been defined as the non- trivial extraction of
implicit, previously unknown and potentially useful information from data.
Association mining and sequential mining analysis are considered as crucial
components of strategic control over a broad variety of disciplines in
business, science and engineering. Association mining is one of the important
sub-fields in data mining, where rules that imply certain association
relationships among a set of items in a transaction database are discovered.
In Sequence mining, data are represented as sequences of events, where order
of those events is important. Finding patterns in sequences is valuable for
predicting future events. In many applications such as the WEB applications,
stock market, and genetic analysis, finding patterns in a sequence of
elements or events, helps in predicting what could be the next event or
element. At the conceptual level, association mining and sequence mining are
two similar processes but using different representations of data. In
association mining, items are distinct and the order of items in a
transaction is not important. While in sequential pattern mining, the order
of elements (events) in transactions (sequences) is important, and the same
event may occur more than once. In this paper, we propose a new mapping
function that maps event sequences into itemsets. Based on the unified
representation of the association mining and the sequential pattern, a new
approach that uses the Boolean representation of input database D to build a
Boolean matrix M. Boolean algebra operations are applied on M to generate all
frequent itemsets. Finally, frequent items or frequent sequential patterns
are represented by logical expressions that could be minimized by using a
suitable logical function minimization technique.
Keywords:
Sequence mining, data mining, association mining, Boolean association
expressions, Boolean matrix, Association matrix.
Title of the Paper: Lexicalized
and Statistical Parsing of Natural Language Text in Tamil using Hybrid
Language Models
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Authors: M. Selvam, A. M. Natarajan, R. Thangarajan
Abstract: Parsing is an important process of Natural Language Processing
(NLP) and Computational Linguistics which is used to understand the syntax
and semantics of a natural language (NL) sentences confined to the grammar.
Parser is a computational system which processes input sentence according to
the productions of the grammar, and builds one or more constituent structures
which conform to the grammar. The interpretation of natural language text
depends on the context also. Language models need syntax and semantic
coverage for the better interpretation of natural language sentences in small
and large vocabulary tasks. Though statistical parsing with trigram language
models gives better performance through tri-gram probabilities and large
vocabulary size, it has some disadvantages like lack of support in syntax,
free ordering of words and long term relationship. Grammar based structural
parsing provides solutions to some extent but it is very tedious for larger
vocabulary corpus. To overcome these disadvantages, structural component is
to be involved in statistical approach which results in hybrid language
models like phrase and dependency structure language models. To add the
structural component, balance the vocabulary size and meet the challenging
features of Tamil language, Lexicalized and Statistical Parsing (LSP) is to
be employed with the assistance of hybrid language models. This paper focuses
on lexicalized and statistical parsing of natural language text in Tamil
language with comparative analysis of phrase and dependency language models.
For the development of hybrid language models, new part of speech (POS) tag
set with more than 500 tags and dependency tag set with 31 tags for Tamil
language have been developed which have the wider coverage. Phrase and
dependency structure treebanks have been developed with 3261 Tamil sentences
which cover 51026 words. Hybrid language models were developed using these
treebanks, employed in LSP and evaluated against gold standards. This LSP
with hybrid language models provides better results and covers all the
challenging features of Tamil language.
Keywords: Dependency
Structure, Hybrid Language Model, Lexicalized and Statistical Parsing,
Natural Language Processing, Part of Speech, Treebank, Phrase Structure,
Trigram Language Model, Tamil Language.
Issue 9, Volume 7, September 2008
Title
of the Paper: WordNet-based Summarization of Unstructured Document
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Authors: Chenghua Dang,
Xinjun Luo, Haibin Zhang
Abstract: This paper presents an improved and practical approach to
automatically summarizing unstructured document by extracting the most
relevant sentences from plain text or html version of original document. This
technique proposed is based upon Key Sentences using statistical method and
WordNet. Experimental results show that our approach compares favourably to a
commercial text summarizer, and some refinement techniques improves the
summarization quality significantly.
Key-words:
Document Summarization, Key Sentence, WordNet, POS, Semantic Similarity
Title of the Paper: Data
Models for Retrieving Task-Specific and Technicians-Adaptive Hypermedia
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Authors: Ammar
M. Huneiti
Abstract: - This paper introduces a set of data models for facilitating the
retrieval of task-specific and user-adaptive hypermedia documents concerning
product fault diagnosis. These models include an integrated fault data model,
a stereotype user model, and a semantic product data model. Moreover, the
paper outlines the benefits of employing adaptive hypermedia to support the
performance of technicians specifically for product fault diagnosis. The
suggested stereotype user model represents the knowledge of the technician
regarding the performed task. This user model is then used for the adaptive
retrieval of finely separated and semantically classified product information
elements. A detailed example of how task-specific and user-centred hypermedia
can assist in synchronizing the output of a product diagnostic expert system
with the product technical documentation is introduced. A general
architecture for the suggested adaptive hypermedia system is outlined. The
data models proposed in this paper are demonstrated through a prototype
adaptive expert system for locating and correcting braking system faults in a
forklift truck.
Key-Words:
- Adaptive hypermedia, Semantic data modeling, Performance support systems,
User modeling, Diagnostic expert systems.
Title of the Paper: A
Generalized Software Fault Classification Model
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Authors:
Omar Shatnawi, P. K. Kapur
Abstract: - Most non-homogenous Poisson process (NHPP) based software
reliability growth models (SRGMs) presented in the literature assume that the
faults in the software are of the same type. However, this assumption is not
truly representative of reality. It has been observed that the software
contains different types of faults and each fault requires different
strategies and different amount of testing-effort to remove it. If this
assumption is not taken into account, the SRGM may give misleading results.
This paper proposes a generalized model based on classification the faults in
the software system according to their removal complexity. The removal
complexity is proportional to the amount of testing-effort required to remove
the fault. The testing-effort expenditures are represented by the number of
stages required to remove the fault after the failure observation / fault
isolation (with time delay between the stages). Therefore, it explicitly
takes into account the faults of different severity and can capture
variability in the growth curves depending on the environment it is being
used and at the same time it has the capability to reduce either to
exponential or S-shaped growth curves. Such modelling approach is very much
suited for object-oriented programming and distributed development
environments. Actual software reliability data have been used to demonstrate
the proposed generalized model.
Key-Words: - Software engineering, Software
testing, Software reliability, NHPP, SRGM, Fault severity.
Title
of the Paper: Implementation of Real-Time Video Conference System Using
high speed Multimedia Communication
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Authors: Hyen Ki Kim
Abstract: - Recently, Peer to Peer(P2P) networks become more and more
popular. This paper describes an implementation of real-time video conference
system using high speed multimedia communication. The proposed real-time
video conference system has hybrid Peer to Peer architecture based on a
client-server and peer-to-peer, where client-server is used for exchange of
account management, client list and status information and P2P is used for
the real-time video conference. The proposed real-time video conference
system decreases the traffic of server, and can cuts down the load of
multimedia communication. Because the multimedia data is decentralized to
client by hybrid peer-to-peer network architecture. Also, the proposed system
is implemented and tested by the real-time video conference system using
communication protocol and application software through high speed multimedia
communication
Key-Words: - Real-Time, Video conference,
High speed, Hybrid, P2P, Multimedia, Communication.
Title
of the Paper: Measurements to Determine the Effectiveness of the Phobias
Treatments
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Authors:
Mauricio Plaza
Torres
Abstract: With the levels of stress that involve the everyday activities of
human being, the number of phobias and the people who suffer of these phobias
has increased. The phobia treatments by direct exposure used by the
psychologists have shown be effective, but in many cases it can be a danger
for the physical and psychological health of the patient. In some treatments
additional trauma or physical damage might be caused as a consequence of an
incorrect control of the treatment; thinking about the decrease of the
traumas caused by the treatment of the direct exposition, some medical
centers use new technologies as the virtual reality. The doctor does not have
a certain control of the variables of measurement for the determination of
the level in the phobia conditions, which show an indication of the medical
evolution. The article explain the research with the objective to determine
if the virtual environment has any influence in the person’s psychological
change seen through the changes of the controlled vital signs.
Key - Words: virtual reality,
Experimentation, Security, Standardization, Measurement, Performance,
Reliability, phobia, vital signs, measurements, phobia environment, phobia
treatment Graphical environment, Interactive environments Design.
Title of the Paper: A
Model of Implicit Term Relationship for Information Retrieval
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Authors:
Tetsuya Yoshida
Abstract: This paper proposes a model for dealing with implicit term
relationship among terms toward information retrieval, in the context of
information retrieval over the Web. Until now various keyword based search
engines have been developed to facilitate information retrieval over the Web.
However, it can still be difficult to specify appropriate keywords (terms),
which are to be provided to the engines to conduct the retrieval. We
hypothesize that, although it is not explicitly represented or specified from
the user, there can be some (hidden) relationship among the specified terms.
Such relationship can be useful to facilitate effective retrieval, since it
can work as “between the terms”, as in the between the lines in effective
reading. Based on this hypothesis, we propose a model for representing the
implicit relationship among the specified terms. Our model tries to capture
the implicit relationship in terms of semantic aspect, and represents it as a
concrete tree structure so that it can be utilized for further processing.
Experiments were conducted to investigate the effectiveness of the proposed
model in the context of retrieval, and the results are reported.
Key–Words: Information Retrieval, Term
Relationship, Tree Structure Thesaurus, World Wide Web
Title of the Paper:
Assessing Object-oriented Programming Skills in the Core Education of Computer
Science and Information Technology: Introducing New Possible Approach
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Authors:
Norazlina Khamis, Sufian Idris, Rodina Ahmad, Norisma Idris
Abstract: - Deciding on how to evaluate each students programming skills is
one of the largest challenges facing educators who teach object-oriented
courses. Traditional assessment of programming education is with Grade. Quite
often students get good grades in programming but still facing great
challenges or have difficulties to take on real programming jobs. This
research focus on how we addressed this challenge in object oriented
programming course by proposing a new assessment method to assess students’
object-oriented programming skills. The process begins by identifying generic
object-oriented skills that students should acquired. In this paper we
discuss the issues on object-oriented programming assessment and our proposed
solution for a new assessment model. This followed by an approach taken in
the process of identifying the object-oriented skills using Delphi
technique. Delphi technique is a structured
multi-step process that uses a group of experts to achieve a consensus
opinion. We present the methodology of three Delphi
processes to identify object-oriented programming skills. The identified
skills will be used to guide both the coverage of student learning
assessments and can be used by instructors to identify what topics merit
emphasis.
Key-Words: - Object-oriented programming,
assessment, programming skills, Delphi
technique, goal questions metrics.
Title of the Paper: A
Study of Issues and Considerations of Service Interaction Management in IMS
Architecture
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Authors:
Hui-Na Chua , Chor-Min Tan, Yuxin Ho
Abstract: - Though IMS (IP Multimedia subsystem) is aimed to provide an open
architecture environment for rapid service creation, it does not necessarily
solve all the problems of service interactions and service provisioning.
Service Brokering function as currently being studied by the 3GPP [1], is
aimed to manage service capabilities interaction between any type of IMS
application servers. However, the Service Broker definition in standards does
not specify precisely the mechanism of how it achieves the service
interaction management. Due to the definition is still not concrete, the
Service Broker function is currently implemented in a proprietary manner. In
this paper, we examine the evolution of Service Broker functionality proposed
in standards and evaluate the existing Service Broker approaches that are
proprietarily implemented. From architectural and interaction management
aspects, we discuss the issues and considerations of Service Broker function.
Key-Words: - IMS, Service Broker, SOA,
orchestration, Service Interaction and invocation.
Title of the Paper:
Transformations Techniques for extracting Parallelism in Non-Uniform Nested
Loops
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Authors:
Fawzy A. Torkey, Afaf A. Salah,
Nahed M. El Desouky, Sahar A. Gomaa
Abstract: - Executing a program in parallel machines needs not only to find
sufficient parallelism in a program, but it is also important that we minimize
the synchronization and communication overheads in the parallelized program.
This yields to improve the performance by reducing the time needed for
executing the program. Parallelizing and partitioning of nested loops
requires efficient iteration dependence analysis. Although many loop
transformations techniques exist for nested loop partitioning, most of these
transformation techniques perform poorly when parallelizing nested loops with
non-uniform (irregular) dependences. In this paper the affine and unimodular
transformations are applied to solve the problem of parallelism in nested
loops with nonuniform dependence vectors. To solve these problem few
researchers converted the non-uniform nested loops to uniform nested loops
and then find the parallelism. We propose applying directly the two
approaches affine and unimodular transformations to extract and improve the
parallelism in nested loops with non-uniform dependences. The study shows
that unimodular transformation is better than affine transformation when the
dependences in nested loops exist only in one statement. While affine
transformation is more effective when the nested loops have a sequence of
statements and the dependence exists between these different statements.
Keywords:
- Unimodular transformation, Affine transformation, Parallelism, Uniform
dependence, Nonuniform dependence, Distance vector, Distance matrix
Title of the Paper: Information
Society and its Development in the
Czech
Republic
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Authors:
Jitka Komarkova,
Pavel Sedlak, Katerina Langrova
Abstract: - Development of information society has been strongly supported by
all governments including the government of the
Czech Republic.
Recently, ways how to evaluate efficiency of the investments and development
of information society have been searched for. Paper deals with utilization
of geographic information systems, spatial analyses and exploratory spatial
data analyses (both global and local indicators) for evaluation of
development of information society and participation of the citizens. Within
the case study development in all 14 regions of the Czech Republic
during last few years is evaluated. Evaluation is based on available data
which were provided by Czech Statistical Office. One of the results is that
Prague (the capital)
was a leader in the first years but during last few years the other regions
have made the gap on the capital smaller so many differences across the
country have been decreased.
Key-Words: - eGovernment, Information
Society, eParticipation, Spatial Analyses, ESDA, GIS, DEMO-net.
Title of the Paper: Four-Dimensional
Multi-Inkdot Finite Automata
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Authors:
Yasuo Uchida, Takao Ito, Hidenobu Okabe, Makoto Sakamoto, Hiroshi Furutani,
Michio Kono
Abstract: During the past about thirty-five years, many automata on a two- or
three-dimensional input tape have been proposed and a lot of properties of
such automata have been obtained. On the other hand, we think that recently,
due to the advances in computer animation, motion image processing, and so
forth, it is very useful for analyzing computational complexity of
multi-dimensional information processing to explicate the properties of
four-dimensional automata, i.e., three-dimensional automata with the time
axis. In this paper, we propose a fourdimensional multi-inkdot finite
automaton and mainly investigate its recognizability of four-dimensional
connected pictures. Moreover, we briefly investigate some basic accepting
powers of four-dimensional multi-inkdot finite automata.
Key–Words:
Alternation, Connected Pictures, Finite Automaton, Four-Dimension, Inkdot,
Recognizability.
Title of the Paper: A
Back-End Compiler with Fast Compilation for VLIW based Dynamic Reconfigurable
Processor
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Authors:
Ryuji Hada,
Kazuya Tanigawa, Tetsuo Hironaka
Abstract: We have developed a compiler for dynamic reconfigurable processor
based on VLIW model. VLIW model fetches and executes one configuration data
as VLIW instruction. For this model, our compiler schedules mapping elements
as operations and live variables in program, with consideration of hardware
resources. Next, place-and-route procedure places and routes the mapping
elements to hardware resources for several configuration data. However the
conventional place-and-route algorithms require much compilation time. The
reason is that, for difficulty place-and-route condition, the number of
place-and-route iteration is increased to get high code quality. Thus we
propose a novel compiler method, which is combining scheduling and
place-and-route with fast compilation, on keeping code quality. Our idea is
that if a scheduling simplifies the place-and-route condition, small
compilation time of place-and-route can realize a reasonable code quality. In
scheduling, to balance the number of operations and live variables, and make
the place-and-route condition easy, the operations are moved to another step
with a fewer operations. In place-and-route, to reduce iteration procedures
to get the reasonable result, it limits targets for replace-and-reroute. In
this paper, we use PARS as one of target processors based on VLIW model. We
evaluate our method and compare it with another method based on Simulated
Annealing (SA). From the results, our method achieves that the difference of
code quality (the number of configuration data like VLIW instruction) is
-3.4% - +1.2%, and compilation time is cut to 1/128 - 1/67, compared with SA
base method.
Key-Words: VLIW, Reconfigurable processor,
compiler, scheduling, place and route.
Title of the Paper: An
Improved Steganalysis Approach for Breaking the F5 Algorithm
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Authors:
Hatim Aboalsamh, Hassan
Mathkour, Sami Dokheekh, Mona Mursi, Ghazyassassa
Abstract :In this paper, we present an enhancement to the steganalysis
algorithm that successfully attacks F5 steganographic algorithm using JPEG
digital images. The key idea is related to the selection of an “optimal”
value of β (the probability that a non-zero AC coefficient will be
modified) for the image under consideration. Rather than averaging the values
of β for 64 shifting steps worked on an image, an optimal β is
determined that corresponds to the shift having minimal distance E from the
double compression removal step. Numerical experiments were carried out to
validate the proposed enhanced algorithm and compare it against the original
one. Both algorithms were tested and compared using two sets of test images.
The first set uses reference test data of 20 grayscale images [1], and the
second uses 432 images created by manipulating 12 images for various image
parameters: two sizes (300x400 and 150x2000), six JPEG old quality factors
(50, 60, 70, 80, 90, 100), and 3 message lengths (0, 1kB, 2 kB). The results
suggest that the original algorithm may be used as a classifier, since it
shows a good detection performance of both clean and stego test images;
whereas, the proposed enhanced algorithm may be used as an estimator for the
true message length for those images that have been classified by original
algorithm as stego images.
Keywords: Steganalysis, Steganography, F5
algorithm, Discrete Cosine Transforms DCT, Matrix encoding, JPEG images.
Title of the Paper:
Context-Aware Remote Healthcare Support System based on Overlay Network
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Authors:
Debasish Chakraborty, Hideyuki Takahashi, Takuo Suganuma, Atsushi Takeda,
Gen Kitagata, Kazuo Hashimoto, Norio Shiratori
Abstract: Many countries are facing an ever-growing need to supply constant
care and support for their disabled and elderly populations. So the
importance to remote monitoring is becoming essential for looking after them.
With an environment full of smart and cooperating artifacts will at the same
time pose great risks to personal privacy. To protect personal information
patient's data should be available irrespective of their location, but only
to the authorized person. At the same time quality and reliability of
transferring data is also important depending on the content of the data and
the recipient. In this paper we propose a system where a personalized overlay
network will be built in an ad hoc basis and links between different entities
will be established according to the social relationship between the person
under observation and the people at the other end and the situation of the
observed person. The connected links will provide reliability, quality and
other required characteristics according to the requirements specialized by
the members involved. For efficient cost and resource utilization, an
on-demand network connection is considered for our proposed context aware
ubiquitous healthcare system.
Key-Words: Adaptive context aware, Overlay
networks, Ubiquitous healhcare, Multi-agent system, Security.
Issue 10, Volume 7, October 2008
Title of the Paper: The
Framework of the Turkish Syllable-Based Concatenative Text-to-Speech System with Exceptional Case Handling
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Authors:
Zeynep Orhan,
Zeliha Gormez
Abstract: - This paper describes the TTTS (Turkish Text-To-Speech) synthesis
system, developed at Fatih
University for Turkish
language. The framework of the Turkish syllable-based concatenative
text-to-speech system with exceptional case handling is introduced. TTTS is a
concatenative TTS system aiming to advance the process of developing natural
and human sounding Turkish voices. The resulting system is implemented by
concatenating pieces of pre-recorded limited number of speech units that are
stored in a database. Systems differ in the size of the stored speech units
affecting the output range, the quality and the clarity, therefore the number
of the concatenation units, synthetic units obtained and the computational
power required should be kept in balance. The letters of the Turkish alphabet
and the syllables that consist of two letters at most are used as the
smallest phonemes in the context of this study. The syllables that have more
than two letters are derived from these smallest units. The words, which are
generally borrowed from other languages throughout cultural interactions,
present exceptional behaviors and should be handled specifically. The results
are evaluated by using the Degradation Mean Opinion Score (DMOS) method.
Key-Words: - Text-to-speech (TTS), Speech
Synthesis, Concatenative Turkish TTS.
Title of the Paper:
Simulation of Production and Transportation Planning with Uncertainty and Risk
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Authors:
Kuentai
Chen, Hung-Chun Chen, Z. H. Che
Abstract: - Inevitable in the practical supply chain planning, uncertainties,
including unsure demand and various risks such as machine failure and
transportation loss, are fundamental issues for all members of the supply
chain. In this research, a mathematic model of supply chain with risk and uncertain
demand are established and solved. The inherent complexity of such an integer
programming model leads to the solving difficulty in speedily finding exact
and integer optimal solutions. Therefore, a quick and decent answer becomes
essential to pace up with the competitive business world, even it is usually
only an approximate estimate. Four types of model are discussed in this
study, including certain demand without risk, certain demand with risk,
uncertain demand without risk, and uncertain demand with risk. After model
verification and validation, computer simulations are performed with three
selecting policies, namely “low cost first”, “random”, and “minimum cost
path”. The results are analyzed and compared, in which the “minimum cost
path” is the better policy for node selection according to simulation runs. A
general linear programming solver called LINDO was used to find the optimal
solutions but took days as the problem size increases, while simulation model
obtains an acceptable solution in minutes. For small size problems, numerical
examples show that the Mean Absolute Percentage Error (MAPE) between integer
simulation solution and mathematical non-integer solution falls into the
range of 3.69% to 7.34%, which demonstrates the feasibility and advantage of
using simulation for supply chain planning.
Key-Words: Supply Chain, Risk,
Simulation, Integer Programming, Uncertainty.
Title of the Paper: Sequential
and Parallel Deficit Scaling Algorithms for Minimum Flow in Bipartite Networks
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Authors:
Laura Ciupala, Eleonor
Ciurea
Abstract: - In this paper, first we describe the deficit scaling algorithm
for minimum flow in bipartite networks. This algorithm is obtained from the
deficit scaling algorithm for minimum flow in regular networks developed by
Ciupală in [5] by replacing a pull from a node with sufficiently large
deficit with two consecutive pulls. This replacement ensures that only nodes
in N1 can have deficits. Consequently, the running time of the deficit
scaling algorithm for minimum flow is reduced from O(nm+n2 logC) to O(n1m+n12
logC) when it is applied on bipartite networks. In the last part of this
paper, we develop a parallel implementation of the deficit scaling algorithm
for minimum flow in bipartite networks on an EREW PRAM. The parallel
bipartite deficit scaling algorithm performs a pull from an active node with
a sufficiently large deficit and with the smallest distance label from N1 at
a time followed by a set of pulls from several nodes in N2 in parallel. It
runs in O(n12 log C log p) time on an EREW PRAM with p = m/n1 processors, which is within a logarithmic factor of the running time of the
sequential bipartite deficit scaling algorithm for minimum flow.
Key-Words:
- Network flow; Network algorithms; Bipartite network; Parallel algorithms;
Minimum flow problem; Scaling technique
Title of the Paper: Segmentation Techniques for Target
Recognition
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Authors:
G.
N. Srinivasan, Shobha G.
Abstract: This paper presents an overview of the methodologies and algorithms
for segmenting 2D images as a means in detecting target objects embedded in
visual images for an Automatic Target Detection application.
Keywords:
Target Detection, Image Processing, Pattern Recognition, Segmentation.
Title of the Paper:
Multimedia Interactive Environment for Study the Plane Analytical Geometry
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Authors: Anca
Iordan, George Savii, Manuela Panoiu, Caius Panoiu
Abstract: - In this work will be presented the elaboration of an educational
informatics system for studying plane analytical geometry elements. The
achieved informatics system will be able to be used for teaching geometry, both
in pre-university and in university education. Incorporating modern methods
and techniques, the presented software will lead the user to obtain
experience in understanding and handling the knowledge in geometry field and
will grant easy and efficient access to the newest information and knowledge.
Key-Words:
- Interactive software, plane analytical geometry, Java, distance education.
Title of the Paper:
Reduced-Set Vector-Based Interval Type-2 Fuzzy Neural Network
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Authors: Long
Yu, Jian Xiao, Song Wang
Abstract: - This paper describes an interval type-2 fuzzy modeling framework,
reduced-set vector-based interval type-2 fuzzy neural network (RV-based
IT2FNN), to characterize the representation in fuzzy logic inference
procedure. The model proposed introduces the concept of interval kernel to
interval type-2 fuzzy membership, and provides an architecture to extract
reduced-set vectors for generating interval type-2 fuzzy rules. Thus, the
overall RV-based IT2FNN can be represented as series expansion of interval
kernel, and it does not have to determine the number of rules in advance. By
using a hybrid learning mechanism, the proposed RV-based IT2FNN can construct
an input-ouput mapping from the training data in the form of fuzzy rules. At
last, simulation results show that the RV-based IT2FNN obtained possesses
nice generalization and transparency.
Key-Words:
- interval type-2; fuzzy modeling; reduced-set; interval kernel; insensitive
learning.
Title of the Paper:
Grammar-based Classifier System: A Universal Tool for Grammatical Inference
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Authors:
Olgierd Unold
Abstract: - Grammatical Inference deals with the problem of learning
structural models, such as grammars, from different sort of data patterns,
such as artificial languages, natural languages, biosequences, speech and so
on. This article describes a new grammatical inference tool, Grammar-based
Classifier System (GCS) dedicated to learn grammar from data. GCS is a new
model of Learning Classifier Systems in which the population of classifiers
has a form of a context-free grammar rule set in a Chomsky Normal Form. GCS
has been proposed to address both regular language induction and the natural
language grammar induction as well as learning formal grammar for DNA
sequence. In all cases near-optimal solutions or better than reported in the
literature were obtained.
Key-Words:
- Machine Learning, Grammatical Inference, Learning Classifier Systems,
Regular Language Induction, DFA Induction, Natural Language Processing,
Promoter Recognition.
Title of the Paper: Several
Aspects of Context Freeness for Hyperedge Replacement Grammars.
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Authors: Silviu
Dumitrescu
Abstract: - In this paper we survey several aspects related to normal forms
of hyperedge replacement grammars. Considering context free hyperedge
replacement grammars we introduce, inspired by string grammars, Chomsky
Normal Form and Greibach Normal Form. The algorithm of conversion is quite
the same with the algorithm for string grammars. The important difference is
related to the fact that hyperedge grammars are two-dimensional and that’s
why parsing productions, in order to transform into string grammars, can be
done only nondeterministic. A detailed example of conversion to both normal
forms is introduced to clarify all the algorithm steps.
Key-Words:
- Hyperedge Replacement Grammars, Normal Form, Chomsky, Greibach, Context
Freeness, Nondeterministic.
Title of the Paper: Using
COBIT Indicators for Measuring Scrum-based Software Development
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Authors: Viljan
Mahnic, Natasa Zabkar
Abstract: - The aim of this paper is to determine the level of compliance of
AGIT model, developed during our previous research for measuring Scrum-based
software development, with the information systems auditing criteria. For
this purpose we use COBIT model. After a short introduction of Scrum, AGIT
and COBIT, we perform comparison analysis of their indicators for software
development. Then we upgrade AGIT model with the selected COBIT indicators.
In order to improve the clarity of the model, we present its structure using
IT Balanced Scorecard. Finally we suggest possible further research.
Key-Words:
- Scrum, Agile software development, IT performance measurement, IT indicators,
IT Balanced Scorecard, COBIT, AGIT.
Title of the Paper: Counter
Register. Algebraic Model and Applications
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Authors:
Anca Vasilescu
Abstract: Hardware system consists of interconnected components, meaning
communicating and synchronized components. Since the number of interconnected
components in a computer system is continuously increasing, it follows that
it is useful to have an alternative solution for verifying the computer
operation instead of a simulation based
verification. In this paper we consider a specific component of the
modern computer systems, namely a counter register, and we propose an
algebraic approach as a solution for modeling and verifying the specification
agents. As a final part of the paper, we mention some practical applications
of the counter register, both in the everyday life and for the internal
structure of the computer systems.
Key–Words:
communication, counting operation, hardware system, modeling, SCCS process
algebra, synchronization, verification.
Title of the Paper: A New
Scalable Distributed Authentication for P2P Network and its Performance
Evaluation
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Authors:
Atushi Takeda,
Debashish Chacraborty, Gen Kitagata, Kazuo Hashimoto, Norio Shiratori
Abstract: Recently P2P networks become more and more popular. Though they
have many advantages, P2P networks suffer from authentication of nodes. To
overcome this problem, a new authentication method called Hash-based
Distributed Authentication Method (HDAM) is proposed in this paper. HDAM
realizes a decentralized efficient mutual authentication mechanism for each
pair of nodes in the P2P network. It performs a distributed management of
public keys by using Web of Trust and Distributed Hash Table. Our proposed
scheme significantly reduces both the memory size requirement and the
overhead of communication data sent by the nodes. Additionally, the results
also show that required resource size of HDAM is O(log n) and HDAM is more
scalable than the conventional method.
Key–Words:
Distributed authentication, Decentralized public key exchange, Peer-to-peer
network
Title of the Paper: A
Survey of Automata on Three-Dimensional Input Tapes
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Authors:
Makoto Sakamoto,
Naoko Tomozoe, Hiroshi Furutani, Michio Kono, Takao Ito, Yasuo Uchida,
Hidenobu Okabe
Abstract: The question of whether processing three-dimensional digital
patterns is much more difficult than two dimensional ones is of great interest
from the theoretical and practical standpoints. Recently, due to the advances
in many application areas such as computer vision, robotics, and so forth, it
has become increasingly apparent that the study of three-dimensional pattern
processing has been of crucial importance. Thus, the research of
threedimensional automata as computational models of three-dimensional
pattern processing has also been meaningful. The main purpose of this paper
is to survey the definitions and properties of various three-dimensional
automata.
Key–Words:
Computation, Constructability, Finite Automaton, Inkdot, Marker,
Recognizability, Three-Dimension, Turing Machine
Title of the Paper: A
General Approach to Off-line Signature Verification
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Authors:
Bence Kovari, Istvan Albert, Hassan
Charaf
Abstract: - Although automatic off-line signature verification has been
extensively studied in the last three decades, there are still a huge number
of open questions and even the best systems are still struggling to get
better error rates than 5%. This paper targets some of the weak spots of the
research area, which are comparability, measurability and interoperability of
different signature verification systems. After delivering an overview of
some of the main research directions, this paper proposes a generic
representation of signature verifiers. In the first part of the paper it is
shown how existing verification systems compare to the generic model,
detailing the differences and their resolutions. In the second part a
signature verification framework is introduced, which was created based on
the generic model. It is demonstrated how existing algorithms and even an
existing signature verifier can be modularized and modified to allow an
execution through the framework. Finally the benefits of the model are
outlined including the unified benchmarking, comparability of different
systems and the support for distributed software architectures like SOA.
Key-Words:
- signature verification; off-line; unified model; component based; loose
coupling
Title of the Paper: Implementation
of Semantic Services in Enterprise
Application Integration
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Authors:
Bence
Peter Martinek, Balazs Tothfalussy, Bela Szikora
Abstract: - In this paper, we present an approach for the implementation of
semantically enriched services in Enterprise Application Integration (EAI).
We present an integration platform based on a Service Oriented Architecture
(SOA) which consists of a service registry, a process designer and a run-time
engine. There are some additional components for realizing semantic
enrichment of services and composed processes e.g. the semantic profiler and
the Ontology. The focus of the paper is the preparation for the process
run-time. We propose a mediator based approach where data transformations are
assigned to each service during the deployment. The standard services of ERP,
CRM, SCM etc. systems are encapsulated into mediator services which makes
possible to apply them in a semantic integration framework. Still, created
semantic services remain compatible with current Web service standards and communicate
with standard SOAP messages. Hence the collaborative processes composed by
attached semantic meta-information of services are also executable by
standard Business Process Execution Language (BPEL) run-time engine.
Key-Words:
- Enterprise
application integration, Semantic services’ run-time, Collaborative business
processes.
Title of the Paper: Key
Consumer Group for Late Comers in Network Effect Product Markets: A
Multi-agent Modeling Approach
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Authors: Zhou
Geng
Abstract: - The first movers in network effect market enjoy the first-mover
advantages. However, through proper strategy, late comers still hold a chance
to win the competition. I divide the consumers into 5 categories (active
rational, passive rational, active non-rational, passive non-rational and
sheep herd) and simulate the market with multi-agent modeling method. Through
analyzing the interactions between these consumer groups, I find that the
active non-rational group is the most important consumer group for the late
comers—late comers should focus on attracting this group first so that they
may compete with the first movers. In support of my study, I also provide
case studies of China’s
blog service market and China’s
online game market.
Key-Word:
- multi-agent modeling, network effect, consumer group, first mover
advantage, consumer behavior, decision making, herd behavior.
Title of the Paper:
Implementation of Classifiers for Choosing Insurance Policy Using Decision
Trees: A Case Study
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Authors:
Chin-Sheng
Huang, Yu-Ju Lin, Che-Chern Lin
Abstract: - In this paper, we use decision trees to establish the decision
models for insurance purchases. Five major types of insurances are involved
in this study including life, annuity, health, accident, and
investment-oriented insurances. Four decision tree methods were used to build
the decision models including Chi-square Automatic Interaction Detector
(CHAID), Exhaustive Chi-square Automatic Interaction Detector (ECHAID),
Classification and Regression Tree (CRT), and Quick-Unbiased-Efficient
Statistical Tree (QUEST).Six features were selected as the inputs of the
decision trees including age, sex, annual income, educational level,
occupation, and risk preference. Three hundred insurants from an insurance
company in Taiwan
were used as examples for establishing the decision models. Two experiments
were conducted to evaluate the performance of the decision trees. The first
one used the purchase records of primary insurances as examples. The second
one used the purchase records of primary insurances and additional
insurances. Each experiment contained four rounds according to different
partitions of training sets and test sets. Discussion and concluding remarks
are finally provided at the end of this paper.
Key-Words:
- Insurance policy; Decision tree; Decision model; ECHAID; CRT; CHAID; QUEST;
Classification tree; Decision support system..
Title of the Paper: Design
of Individualizing Learning Framework with Fuzzy Expert System and
Variable Learning Route
Model: A Case Study of UML
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Authors:
Che-Chern
Lin, Shen-Chien Chen, Chin-Chih Lin
Abstract: - In this paper, we discuss how a fuzzy expert system is utilized
in education. We present a conceptual framework for designing individualizing
learning materials using a fuzzy expert system and a variable learning route
model. The framework can help teachers to design their customized teaching
materials for individual students
based on the academic achievements of the students. In the framework, we
first use pre-assessment to evaluate the students’ academic achievements. The
fuzzy expert system is then used to select
suitable learning material for the students according to their
academic achievements. The variable learning route model serves to determine
the adaptive learning paths for the students based on the results of the
fuzzy expert system. We introduce the
concepts of the learning model with a simulative example. Unified Modeling
Language (UML) is utilized in this paper to describe the structures and
behaviors of the proposed framework. Discussion and concluding remarks are
finally provided at the end of this paper.
Key-words:
Fuzzy expert system, Variable route model, Individual learning, Adaptive
learning, UML, OOAD, System analysis and design.
Title of the Paper:
Managing Ontology Change and Evolution via a Hybrid Matching
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Authors:
Saravanan
Muthaiyah, Marcel Barbulescu, Larry Kerschberg
Abstract: - In this paper, we present the problem of ontology evolution and
change management. We provide a systematic approach to solve the problem by
adopting a multi-agent system (MAS). The core of our solution is the Semantic
Relatedness Score (SRS) which is an aggregate score of five well-tested
semantic as well as syntactic algorithms. The focus of this paper is to
resolve current problems related to ontology upgrade and managing evolution
amongst shared ontologies. This paper highlights issues pertaining to
ontological changes in a shared ontology environment which includes creating,
renaming, deletion and modification of existing classes. These changes will
definitely impact shared concepts and users would have to update their local
ontologies to be consistent with changes in the commonly shared ontology. We
propose a less laborious method to achieve this by using a semi-automated
approach where a bulk of the processing is carried out by matching agents
that would eliminate extraneous data and hence would only recommend to the
ontologist data that can actually be upgraded. We have also designed and
built a prototype in the Java Agent DEvelopment Framework (JADE) for
proof-of-concept.
Key-Words:
- Hierarchical Repository, Semantic Matching, Syntactic Matching, Agent,
Ontology.
Title of the Paper:
Development of Bio-Mimetic Entertainment Dolphin Robots
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Authors:
Daejung
Shin, Seung Y. Na, Jin Y. Kim, Yong-Gwan Won, Bae-Ho Lee
Abstract: - Development of bio-mimetic entertainment dolphin robots that act
like real dolphins in terms of autonomous swimming and human-dolphin
interactions are introduced. Body structures, sensors and actuators,
governing microcontroller boards, swimming and interaction features are
described for a typical entertainment dolphin robot. Actions of
mouth-opening, tail splash or water blow through a spout hole are the typical
responses of interaction when touch sensors on its body detect users’ demand.
A pair of microphones as the ears of a dolphin robot, in order to improve the
entertainment dolphin robot’s ability to interact with people, is used to
estimate the peak sound directions from surrounding viewers. Dolphin robots
should turn towards people who demand to interact with them, while swimming
autonomously.
Key-Words:
- Entertainment Dolphin Robot, Bio-mimetic, Interaction, Autonomous Dolphin
System
Title of the Paper: MPI
based Parallel Method of Moments Approach for Microstrip Structures Analysis
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Authors:
Francisco
Cabrera, Eugenio Jimenez
Abstract: In this paper we will present a parallel Method of Moments (MoM for
short) technique using the MPI library. Here, the MoM is used to analyze
microstrip structures. The main goals to achieve are efficient parallel coef[1]cient computation and ef[1]cient linear equation
system solving. The efficiency and accuracy of the parallel processing MoM
code is analyzed through several examples with two data distribution using
ScaLAPACK library.
Key–Words:
MoM, microstrip, parallel, MPI, ScaLAPACK
Title of the Paper:
Aspects of Dictionary Making Developing an In-House Text Parsing Tool
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Authors:
Livia Sangeorzan,
Marinela Burada, Kinga Kiss Iakab
Abstract: - This paper reports on particular aspects of ongoing research
funded by the National University Research Council and conducted by an
interdisciplinary team of academics from Transilvania University of
Braşov, Romania, of which the authors of the present contribution are
members. Based on the results yielded by a large-scale survey of seventy
online bilingual/multilingual dictionaries involving the English and Romanian
domains, we begin with an assessment of the status quo in the area of
glossaries and dictionaries available on the internet; we then focus on one
particular aspect of dictionary design, i.e. the development and operation of
a flexible, customizable scanner-parser that we designed with a view to
optimizing the work associated with data collection and dictionary compiling.
Key-Words:
- accessibility, customizability, interstructure, Java, macrostructure,
online dictionary, parsing tool
Title of the Paper: An
Arbitration Web Service for E-learning based on XML Security Standards
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Authors:
Robert Andrei
Buchmann, Sergiu Jecan
Abstract: This paper promotes a non-repudiation system for student evaluation
in an e-learning environment based on web services, AJAX frameworks and PEAR
packages in order to implement XML security standards, to provide improved
user experience, asynchronous data exchange and message authentication for
on-line test papers. The motivation of this research is the need to arbitrate
on-line evaluation for both parties, the e-teacher and the e-student, the
evaluation criteria and the rating against open answers.
Keywords:
- e-learning, XML, digital signature, AJAX.
Title of the Paper: Querying
XML Documents with XPath/XQuery in Presence of XLink Hyperlinks
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Authors:
Lule
Ahmedi, Mentor Arifaj
Abstract: Nowadays XML documents are prezented into the Web more than ever.
Using XLink hyperlinks, a docu-ment can refer different portions of
information in different documents into the Web. With XLink hyperlinks the
XML documents in the Web can be investigated from querying point of view not
just while browsing these docu-ments. There are few implementations regarding
XLink recommendation and just two implementations regarding quering XML
documents using XPath/XQuery expressions in presence of XLink hyperlinks. On
the other side XPath/XQuery has many implementations and wide support from IT
leaders in the world. In this paper it is shown another way of using
XPath/XQuery to query XML documents in presence of hyperlinks. The paper
shows a model and its implementation. To materialize the new model it is used
Saxon-B processor, with which was created an ex-tention named BOTA. Prototype
BOTA can be used in different web applications and easly can be integrated
into Web Services in order to select something more narrow that the whole XML
document. The prototype Bota espe-cially can be used in applications with RSS
and Atom.
Key-Words:
- XML, Querying XML, XLink hyperlinks, XML Applications, LDAP.
Title of the Paper: Real-Time
Background Subtraction using Adaptive Thresholding and Dynamic Updating for
Biometric Face Detection
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Authors: K.
Sundaraj
Abstract: Face biometrics is an automated method of recognizing a person’s
face based on a physiological or behavioral characteristic. Face recognition
works by first obtaining an image of a person. This process is usually known
as face detection. In this paper, we describe an approach for face detection
that is able to locate a human face embedded in an outdoor or indoor
background. Segmentation of novel or dynamic objects in a scene, often
referred to as background subtraction or foreground segmentation, is a
critical early step in most computer vision applications in domains such as
surveillance and human-computer interaction. All previous implementations aim
to handle properly one or more problematic phenomena, such as global
illumination changes, shadows, highlights, foreground-background similarity,
occlusion and background clutter. Satisfactory results have been obtained but
very often at the expense of real-time performance. We propose a method for
modeling the background that uses per-pixel time-adaptive Gaussian mixtures
in the combined input space of pixel color and pixel neighborhood. We add a
safety net to this approach by splitting the luminance and chromaticity
components in the background and use their density functions to detect
shadows and highlights. Several criteria are then combined to discriminate
foreground and background pixels. Our experiments show that the proposed
method possesses robustness to problematic phenomena such as global
illumination changes, shadows and highlights, without sacrificing real-time
performance, making it well-suited for a live video event like face biometric
that requires face detection and recognition.
Key–Words:
Background Modeling, Face Detection, Biometric Identification.
Title of the Paper: The
Development of Evaluation Indicators for LEGO Multimedia Instructional
Material
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Authors: Eric
Zhi Feng Liu, Shan Shan Chen, Chun Hung Lin, Yu Fang Chang, Wen Ting Chen
Abstract: - The robotics education is more and more important, but there is a
lack of evaluation indicators for evaluating robotics multimedia
instructional material. Therefore, the researchers developed evaluation
indicators for robotics multimedia instructional material in this paper. The
researchers applied content analysis in the first stage, and then applied Delphi technique and invited 2 robotics teachers and 4
experts of multimedia instructional material designer and 4 users of robotics
multimedia instructional material to develop the scale. The well developed
scale included 40 evaluative indicators can be classified into 4 factors that
are motivation, interface design, content, and feasibility.
Key-Words:
- LEGO, MINDSTORMS NXT, Robot, Evaluation indicator, Multimedia instructional
material
Title of the Paper:
Solving Large Scale Optimization Problems by Opposition-Based Differential
Evolution (ODE)
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Authors: Shahryar
Rahnamayan, G. Gary Wang
Abstract: This work investigates the performance of Differential Evolution
(DE) and its opposition-based version (ODE) on large scale optimization
problems. Opposition-based differential evolution (ODE) has been proposed
based on DE; it employs opposition-based population initialization and
generation jumping to accelerate convergence speed. ODE shows promising
results in terms of convergence rate, robustness, and solution accuracy. A
recently proposed seven-function benchmark test suite for the CEC-2008
special session and competition on large scale global optimization has been
utilized for the current investigation. Results interestingly confirm that
ODE outperforms its parent algorithm (DE) on all high dimensional (500D and
1000D) benchmark functions (F1-F7). Furthermore, authors recommend to utilize
ODE for more complex search spaces as well. Because results confirm that ODE
performs much better than DE when the dimensionality of the problems is
increased from 500D to 1000D. All required details about the testing
platform, comparison methodology, and also achieved results are provided.
Key–Words:
Opposition-Based Differential Evolution (ODE), Opposition-Based Optimization
(OBO), Opposition- Based Computation (OBC), Cooperative Co evolutionary
Algorithms (CCA), Large Scale Optimization, Scalability, High-Dimensional
Problems
Title of the Paper: A
Complete Analyze of using Shift Registers in Cryptosystems for Grade 4, 8 and
16 Irreducible Polynomials
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Authors: Mirella
Amelia Mioc
Abstract: A Linear Feedback Shift Register (LFSR) is always the kernel of any
digital system based on pseudorandom bits sequences and is frequently used in
cryptosystems, in codes for errors detecting, in wireless system
communication. The Advanced Encryption System (Rijndael) is based on using a
grade 8 irreducible polynomials in a Galois Field. For a better understanding
this study contains aspects of functioning for Linear Feedback Shift Register
and Multiple Input-Output Shift Register (MISR) using grade 4, 8 and 16
irreducible polynomials. This experiment shows that the Linear Feed-back
Shift Register and Multiple Input-Output Shift Register have the same
function. The conclusion of this paper is that for grade 8 and 16 irreducible
polynomials the weights are calculated with a formula discovered in this
work.
Key-Words:
Cryptosystem, Shift registers, Calculate, Irreducible polynomials, Simulate,
Rijndael,Pseudo-Random Sequence, Error Detect.
Issue 11, Volume 7, November 2008
Title
of the Paper: Short Term Wind Speed Prediction using Support Vector Machine
Model
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Authors: K.
Sreelakshmi, P. Ramakanth Kumar
Abstract – Wind speed prediction in short term is required to asses the
effect of wind on different objects in action in free space, like rockets,
navigating ships and planes, guided missiles satellites in launch etc.
Forecasting also helps in usage of wind energy as an alternative source of
energy in Electrical power generation plants. The wind speed depends on the
values of other atmospheric variables, such as pressure, moisture content,
humidity, rainfall etc. This paper reports a Support Vector Machine model for
short term wind speed prediction. The model uses the values of these
parameters, obtained from a nearest weather station, as input data. The
trained model is validated using a part of data. The model is then used to
predict the wind speed, using the same meteorological information.
Keywords —
Short term wind speed prediction, Support Vector Machine [SVM], forecasting,
hyper plane, kernels, classification
Title
of the Paper: Color Correction for Multi-view Video Based on Background
Segmentation and Dominant Color Extraction
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Authors: Feng
Shao, Zongju Peng, You Yang
Abstract: - Color correction is a necessary operation in multi-view video
processing, because color tends to be influenced by camera characteristic,
surface reflectance or scene illumination. To achieve high-quality correction
results, a new color correction method, based on the theoretical model of
multi-view imaging and image restoration, is proposed in this paper.
Considering the illumination problem in multi-view imaging, foreground and
background regions are separated from images and dominant color extraction is
used only for background regions of reference and input images, so that
uniform reference surface information is used. Then, color correction is
extended to video sequences with a tracking approach. Furthermore, an
objective performance evaluation is proposed to evaluate the color
correction. We present a variety of results for different test sequences,
arguing that background-based method outperforms foreground-based method, and
better subjective and objective visual effect can be achieved for images as
well as videos.
Key-Words:
- Multi-view video, color correction, background segmentation, dominant color
extraction, principal component analysis, color difference.
Title
of the Paper: Power-Aware Hybrid Intrusion Detection System (PHIDS) using
Cellular Automata in Wireless Ad Hoc Networks
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Authors: P.
Kiran Sree, I. Ramesh Babu, J. V. R. Murty, R. Ramachandran, N. S. S. S. N Usha
Devi
Abstract :Ad hoc wireless network with their changing topology and
distributed nature are more prone to intruders. The network monitoring
functionality should be in operation as long as the network exists with nil
constraints. The efficiency of an Intrusion detection system in the case of
an ad hoc network is not only determined by its dynamicity in monitoring but
also in its flexibility in utilizing the available power in each of its
nodes. In this paper we propose a hybrid intrusion detection system, based on
a power level metric for potential ad hoc hosts, which is used to determine
the duration for which a particular node can support a network-monitoring
node. Power –aware hybrid intrusion detection system focuses on the available
power level in each of the nodes and determines the network monitors. Power
awareness in the network results in maintaining power for network monitoring,
with monitors changing often, since it is an iterative power-optimal solution
to identify nodes for distributed agent-based intrusion detection. The
advantage that this approach entails is the inherent flexibility it provides,
by means of considering only fewer nodes for re-establishing network
monitors. The detection of intrusions in the network is done with the help of
Cellular Automata (CA). The CA’s classify a packet routed through the network
either as normal or an intrusion. The use of CA’s enable in the
identification of already occurred intrusions as well as new intrusions.
Issue 12, Volume 7, December 2008
Title
of the Paper: Power Efficiency Study of Multi-threading Applications for
Multi-core Mobile Systems
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Authors: Marius Marcu,
Dacian Tudor, Sebastian Fuicu, Silvia Copil-Crisan, Florin Maticu, Mihai Micea
Abstract: One constant in computing which is true also for mobile computing is
the continue requirement for greater performance. Every performance advance in
mobile processors leads to another level of greater performance demands from
newest mobile applications. However, on battery powered devices performance is
strictly limited by the battery capacity, therefore energy efficient
applications and systems have to be developed. The power consumption problem
of mobile systems is in general a very complex one and remained very actual
for quite a long time. In this paper we aim to define a software execution
framework for mobile systems in order to characterize the power consumption
profile of multi-threading mobile applications. Study results for different
thread libraries, multi-core processors and multithreaded parallelized
applications are also presented.
Key-Words: Power consumption, multi-threading, multi-core, mobile
applications, power profiling
Title
of the Paper: Modelling a Plasma System for Soliton and Shockwaves with a
Splitting Scheme and a Second and a Third Order High Resolution Scheme
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Authors: R. Naidoo
Abstract: A splitting and a fully discrete second order and a third order semi
discrete schemes are modified and adapted for a numerical solution of a
hyperbolic system of a one dimensional electrostatic plasma fluid equation.
Illustrations as to how the splitting and the NNT (fully discrete) and the
semi-discrete (SD3) schemes capture the formation and evolution of ion
acoustic solitons and shockwaves were performed. In this study we perform a
comparison between a fully discrete NNT and the semi discrete SD3 high
resolution schemes and the splitting scheme which is constructed for the first
time for a one dimensional plasma systems in the present study. The results
indicate that the splitting scheme demonstrates clear superiority over the NNT
and SD3 schemes in the soliton solution where the numerical noise of the
electron waves is reduced significantly. For the shock wave solution the NNT
and SD3 schemes are similar to the splitting scheme but exhibit oscillations
at the contact discontinuity. However the splitting scheme exhibit a smaller
computational time than the NNT and SD3 schemes. It is thus advocated that in
a one dimensional plasma system for solution and shockwaves simulations the
splitting scheme and NNT /SD3 schemes be utilised respectively.
Key-Words: Solitons,shockwaves,hyperbolic,plasma,split scheme,high resolution
scheme
Title
of the Paper: Quality Inspection of Textile Artificial Textures Using a
Neuro-Symbolic Hybrid System Methodology
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Authors: Vianey Guadalupe
Cruz Sanchez, Osslan Osiris Vergara Villegas, Gerardo Reyes Salgado, Humberto
De Jesus Ochoa Dominguez
Abstract: In the industrial sector there are many processes where the visual
inspection is essential, the automation of that processes becomes a necessity
to guarantee the quality of several objects. In this paper we propose a
methodology for textile quality inspection based on the texture cue of an
image. To solve this, we use a Neuro-Symbolic Hybrid System (NSHS) that allow
us to combine an artificial neural network and the symbolic representation of
the expert knowledge. The artificial neural network uses the CasCor learning
algorithm and we use production rules to represent the symbolic knowledge. The
features used for inspection has the advantage of being tolerant to rotation
and scale changes. We compare the results with those obtained from an
automatic computer vision task, and we conclude that results obtained using
the proposed methodology are better.
Key-Words: Computer Vision, Neuro-Symbolic Hybrid Systems, Artificial Neural
Networks, Production Rules
Title
of the Paper: Identifying Appropriate Methodologies and Strategies for
Vertical Mining with Incomplete Data
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Authors: Faris Alqadah,
Zhen Hu, Lawrence J. Mazlack
Abstract: Many data mining methods are dependent on recognizing frequent
patterns. Frequent patterns lead to the discovery of association rules, strong
rules, sequential episodes, and multi-dimensional patterns. All can play a
critical role in helping corporate and scientific institutions to understand
and analyze their data. Patterns should be discovered in time and space
efficient manner. Discovered patterns have authentic value when they
accurately describe data trends; and, do not exclusively reflect noise or
chance encounters. Vertical data mining algorithms key advantage is that they
can outperform their horizontal counterparts in terms of both time and space
efficiency. Little work has addressed how incomplete data influences vertical
data mining. Consequently, the quality and utility of vertical mining
algorithms results remains ambiguous as real data sets often contain
incomplete data. This paper considers how to establish methodologies that deal
with incomplete data in vertical mining; additionally, it seeks to develop
strategies for determining the maximal utilization that can be mined from a
dataset based on how much and what data is missing.
Key-Words: Incomplete data, vertical, data mining, ignorability, efficiency,
privacy preserving, data sensitivity, maximal utilization, methodologies,
strategies
Title
of the Paper: A Comparison of Multi-Agents Competing for Trading Agents
Competition
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Authors: Dan Mancas,
Stefan Udristoiu, Ecaterina–irina Manole, Bogdan Lapadat
Abstract: We present a comparative analysis for several multi-agents
participating in Trading Agents Competition, Classic. The game is first
partitioned into separate modules, for which distinct strategies may be
developed. The strategies used are taken into consideration both individually
and in relation with other agents, but also the game medium. Conclusions
regarding possible improvements, better strategies and potential weaknesses
are driven from each agent analysis. Alternatives like static market
algorithms vs. dynamic market algorithms are considered in detail and
advantages and disadvantages are discussed. Also a discussion of TAC market
and possibilities for the stochastic system approximation with a deterministic
one is realized.
Key-Words: Multi – agent, artificial intelligence, autonomous trading agents,
probabilistic market strategy, machine learning, agents
Title
of the Paper: Increasing Level of Correctness in Correlation with and
Reliability Level
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Authors: Dan Mancas,
Nicolae-Iulian Enescu, Ecaterina-Irina Manole
Abstract: The scope of our research is finding a correlation between the
correctness indicator and the reliability indicator for software programs. For
this, the correctness and reliability indicators will be calculated for a
simple program, written in C programming language. The computations will be
made for each program version obtained by correcting different error type
found in the testing process. Will be observed there is a closed correlation
between correctness and reliability in the way that for an increasing of the
correctness level there will also be a significant increase of the reliability
level.
Key-Words: Testing, correctness, reliability, correlation
Title
of the Paper: Evaluating Retina Image Fusion Based on Quantitative
Approaches
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Authors: Zhengmao Ye, Hua
Cao, Sitharama Iyengar, Habib Mohamadian
Abstract: Image registration and fusion are conducted using an automated
approach, which applies the automatic adaptation from frame to frame with the
threshold parameters. Rather than qualitative approach, quantitative measures
have been proposed to evaluate outcomes of retina image fusion. Concepts of
the discrete entropy, discrete energy, relative entropy, mutual information,
uncertainty coefficient and information redundancy have been introduced. Both
the Canny edge detector and control point identification are employed to
extract retinal vasculature using the adaptive exploratory algorithms. The
shape similarity criteria have been selected for control point matching. The
Mutual-Pixel- Count maximization based optimal procedure has also been
developed to adjust the control points at the sub-pixel level. Then the global
maxima equivalent result has been derived by calculating Mutual-Pixel-Count
local maxima. For two cases of image fusion practices, the testing results are
evaluated on a basis of information theories where the satisfactory outcomes
have been made.
Key-Words: Image Fusion, Image Registration, Histogram, Discrete Energy,
Discrete Entropy, Relative Entropy, Mutual Information, Uncertainty
Coefficient, Information Redundancy
Title
of the Paper: An Object-Oriented Framework with Corresponding Graphical
User Interface for Developing Ant Colony Optimization Based Algorithms
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Authors: Raka Jovanovic,
Milan Tuba, Dana Simian
Abstract: This paper describes GRAF-ANT (Graphical Framework for Ant Colony
Optimization), an object-oriented C# framework for developing ant colony
systems that we have developed. While developing this framework, abstractions
that are necessary for ant colony optimization algorithms were analyzed, as
well as the features that their implementing classes should have. During
creation of these classes, several problems were solved: implementation of
individual ants and ant colonies, connection between visualization and problem
spaces, creation of a multithread application in which multiple ant colonies
can communicate, creation of a problem independent graphical user interface
(GUI), establishing an opportunity for hybridization of ACO (Ant colony
optimization). Effects of this hybridization to different variations of ant
colony systems is analyzed. The use of the GRAF-ANT and its suitability is
illustrated by few instances of the Traveling Salesman Problem (TSP). We also
present a concept of escaping ACO stagnation in local optima, named suspicious
path destruction, that is also a part of GRAF-ANT.
Key-Words: Ant colony system, Evolutionary computing, Combinatorial
Optimization, Swarm Intelligence
Title
of the Paper: An Efficient A* Algorithm for the Directed Linear Arrangement
Problem
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Authors: Derchian Tsaih,
Guangming Wu, Chiehyao Chang, Shaoshin Hung, Chinshan Wu, Huiling Lin
Abstract: In this paper we present an efficient A* algorithm to solve the
Directed Linear Arrangement Problem. By using a branch and bound technique to
embed a given directed acyclic graph into a layerwise partition search graph,
the optimal directed ordering is then be identified through a A* shortest path
search in the embedding graph. We developed a hybrid DC+BDS algorithm to
approximate the optimal linear arrangement solution, which includes directed
clustering and bidirectional sort technique. Along with a lower bound based on
the maximum flow technique, this approximation solution is used as an upper
bound to prune the state space during the A* search. In order to reduce the
memory requirement of the A* search, we also discuss a implementation of the
relay node technique from Zhou and Hansen [22].
Key-Words: Directed Linear Arrangement, Directed Clustering, A* Search
Title
of the Paper: Software Quality and Assurance in Waterfall model and XP - A
Comparative Study
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Authors: Sana'a Jawdat
Khalaf, Mohamed Noor Al-Jedaiah
Abstract: Dealing with an increasingly volatile organizational environment is
a serious challenge for managers of any software development .Traditional
formal software development methodologies can be characterized as reflecting
linear, sequential processes ,and the related management approaches ,and be
effective in development software with stable ,known ,consistent requirements
.Yet most realworld development efforts are much more likely to be conducted
in more volatile environments, as organizations adapt to changing technology,
markets, and social conditions. Requirements for systems must be able to
change right along with them, often at “Internet speed” [1]. Project
management approaches based on the traditional linear development
methodologies are mismatched with such dynamic systems. The support of
software quality in a software development process may be regarded under two
aspects: first, by providing techniques, which support the development of high
quality software and second, by providing techniques, which assure the
required quality attributes in existing artifacts. Both approaches have to be
combined to achieve effective and successful software engineering [2]. Agile
methods may produce software faster but we also need to know how they meet our
quality requirements. In this paper we compare the waterfall model with agile
processes to show how agile methods achieve software quality under time
pressure and in an unstable requirements environment, i.e. we analyze agile
software quality assurance. We present a detailed waterfall model showing its
software quality support processes. We then show the quality practices that
agile methods have integrated into their processes. This allows us to answer
the question “Can agile methods ensure quality even though they develop
software faster and can handle unstable requirements?”[3].
Key-Words: Agile processes, Extreme Programming, Waterfall model, Software
development, Software quality, Customer Satisfactions, Customer needs
Title
of the Paper: A New Technique for Detecting Dental Diseases by using High
Speed Artificial Neural Networks
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Authors: Hazem M. El-Bakry,
Nikos Mastorakis
Abstract: In this paper, a new fast algorithm for dental diseases detection is
presented. Such algorithm relies on performing cross correlation in the
frequency domain between input image and the input weights of fast neural
networks (FNNs). It is proved mathematically and practically that the number
of computation steps required for the presented FNNs is less than that needed
by conventional neural networks (CNNs). Simulation results using MATLAB
confirm the theoretical computations. One of the limitations of Direct Digital
Radiography (DDR) is noise. Some recent publications have indicated that
Digital Subtraction Radiography (DSR) might significantly aid in the clinical
diagnosis of dental diseases, once various clinical logistic problems limiting
its widespread use have been over come. Noise in digital radiography may
result from sources other than variation in projection geometry during
exposure. Structure noise consists of all anatomic features other than those
of diagnostic interest. Limitations of plain radiographs in detecting early,
small bone lesions are also due to the presence of structure noise. This
research work has been under - taken in an attempt to minimize structure noise
in digital dental radiography by using digital subtraction radiography. By
minimizing the structure noise, the validity of the digitized image in
detecting diseases is enhanced.
Key-Words: Direct digital radiography, structure noise, dental bone lesions,
digital subtraction radiography, fast neural networks, cross correlation
Title
of the Paper: Fast Evolution of Large Digital Circuits
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Authors: Xiaoxuan She
Abstract: Evolvable hardware (EHW) refers to self-reconfiguration hardware
design, where the configuration is under the control of an evolution
algorithm. One of the main difficulties in using EHW to solve real-world
problems is scalability, which limits the size of the circuit that may be
evolved. This paper outlines evolvable hardware based on a 2-LUT (2-input
lookup table) array, which allows the evolution of large circuits via
decomposition. The proposed EHW has been tested with multipliers and logic
circuits taken from the Microelectronics Centre of North Carolina (MCNC)
benchmark library. The experimental results demonstrate that the proposed
scheme improves the evolution of logic circuits in terms of the number of
generations, area and delay, reduces computational time and enables the
evolution of large circuits. The proposed EHW automatically generates a
complete circuit netlist in a SDRAM. Because of the low cost and large data
storage of a SDRAM, the evolvable hardware provides a good platform to evolve
large circuits.
Key-Words: Evolvable hardware, Evolutionary computation, Adaptive systems,
Digital circuits, Problem decomposition, Circuit design
Title
of the Paper:
Enhancement of Data Aggregation Using A Novel Point Access Method
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Authors: Hung-Yi Lin,
Rong-Chang Chen, Shih-Ying Chen
Abstract: The B+-tree and its variants have been reported as the
good index structures for retrieving data. Database systems frequently
establish the B+-tree style indices for fast access to data
records. However, traditional B+-tree index could be a performance
bottleneck because of its inflatable hierarchy. Many works focus on improving
indexing techniques. In fact, the optimization of data organization inside
index nodes is the most critical factor to improve retrieval quality. Some
handles like pre-partition of data space, node splitting by force, node
splitting with unbalanced partition, and node splitting upon overflow loading
always burden index structures with plenty of storage space and building
overhead. In this paper, we propose a new index scheme to highly aggregate the
external structure in a B+-tree. It also adopts a better splitting
policy to completely remove the suffering from data insertion orders. Our new
index technique can compress data records in leaves and in turn reduce index
size to improve query performance. In addition, the entire index’s space
utilization is promoted to a higher level; thereby the index’s space
requirement becomes smaller and easily resides in memory.
Key-Words: B+-tree, Index structure, B*-tree, Databases, Data
aggregation, Node splitting
Title
of the Paper: A New Approach of Secret Key Management Lifecycle for
Military Applications
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Authors: Nikolaos Bardis,
Nikolaos Doukas, Konstantinos Ntaikos
Abstract: In this paper a new approach is presented for key management access
and sharing secret keys between certified users of a group. Such schemes are
referred to as Symmetric Key Management Systems. The concept of information
lifecycle management is first presented and analysed in the context of data
storage efficiency. This concept is then extended for use with the management
of symmetric secret keys. The need for a standard in symmetric secret key
management is presented and founded on software engineering principles. A
novel scheme contributing in this direction is hence presented. Specifically,
access controls processes are presented that are based on passwords. These
passwords, with the additional use of the AES cryptographic algorithm and
nonces can be used to provide not only authentication for the access control
in the system but additionally for the access in the encrypted file that
stores all the symmetrical secret keys of each user of certified group.
Following this, a new approach for the lifecycle management of secret keys is
presented in order to achieve the secure communication based on encryption -
decryption of all the messages in real time with the simultaneous use of two
symmetrical secret keys for each transmission of information between the
users. It is finally concluded that this innovative technology guarantees the
automatic password and secret keys management lifecycle irrespective of the
actions of the users and provides secure communication between certified group
of users in local network and in internet.
Key-Words: Key management lifecycle, key management system, access control,
symmetrical secret key
Title
of the Paper: Routing Optimization Heuristics Algorithms for Urban Solid
Waste Transportation Management
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Authors: Nikolaos V.
Karadimas, Nikolaos Doukas, Maria Kolokathi, Gerasimoula Defteraiou
Abstract: During the last decade, metaheuristics have become increasingly
popular for effectively confronting difficult combinatorial optimization
problems. In the present paper, two individual meatheuristic algorithmic
solutions, the ArcGIS Network Analyst and the Ant Colony System (ACS)
algorithm, are introduced, implemented and discussed for the identification of
optimal routes in the case of Municipal Solid Waste (MSW) collection. Both
proposed applications are based on a geo-referenced spatial database supported
by a Geographic Information System (GIS). GIS are increasingly becoming a
central element for coordinating, planning and managing transportation
systems, and so in collaboration with combinatorial optimization techniques
they can be used to improve aspects of transit planning in urban regions.
Here, the GIS takes into account all the required parameters for the MSW
collection (i.e. positions of waste bins, road network and the related
traffic, truck capacities, etc) and its desktop users are able to model
realistic network conditions and scenarios. In this case, the simulation
consists of scenarios of visiting varied waste collection spots in the
Municipality of Athens (MoA). The user, in both applications, is able to
define or modify all the required dynamic factors for the creation of an
initial scenario, and by modifying these particular parameters, alternative
scenarios can be generated. Finally, the optimal solution is estimated by each
routing optimization algorithm, followed by a comparison between these two
algorithmic approaches on the newly designed collection routes. Furthermore,
the proposed interactive design of both approaches has potential application
in many other environmental planning and management problems.
Key-Words: Ant Colony System, ArcGIS Network Analyst, Waste Collection,
Optimization Algorithms, Routing, Simulation
Title
of the Paper: Prediction of Domestic Warm-Water Consumption
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Authors: Elena Serban,
Daniela Popescu
Abstract: The paper presents methodologies able to predict dynamic warm water
consumption in district heating systems, using time-series analysis. A
simulation model ccording to the day of a week has been chosen for modeling
the domestic warm water consumption in a block of flats with 60 apartments.
The analysis of the residuals indicates good simulation and prediction models
for the cases studied. Double-cross validation was done using data collected
by the SCADA system from District Heating Company of Iasi.
Key-Words: District heating systems, domestic warm water, time series models,
autoregressive model, simulation, prediction
Title
of the Paper: An Algorithm for Minimum Flows
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Authors: Oana Georgescu,
Eleonor Ciurea
Abstract: In this paper we consider an advanced topic for minimum flow
problem: the use of the dynamic trees data structure to efficiently implement
decreasing path algorithm. In the final part of the paper we present an
example for this algorithm, some practical applications for the minimum flow
problem, conclusions and open problems.
Key-Words: Network flow, network algorithms, minimum flow problem, dynamic
tree
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