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Issue 1, Volume 6,
January 2009
Title
of the Paper: High Efficient Knowledge Extracting Platform Based on
E-Delivery Pattern
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Authors:
Meiqun Liu, Kun Gao
Abstract: Generally, the existing Data Mining delivery mechanisms are based on
moving data to a mining server node or moving data mining code to data
resource node. This pattern is not suit for the new requirement for some
situations. In this paper, we proposed a novel knowledge extraction mechanism
which based on E-delivery pattern. The new mechanism can solve efficiently
some problem coming from nodes having data resources but lack of computing
power, or some node with computing power but no data resource and low
transmission bandwidth. The kernel of the system we proposed adopts OGSA as
the foundation and provides open service for systematic expansion. We also
discuss the feasibility and the scalability in this paper.
Keywords: Software delivery, Knowledge Discovery, Knowledge Extracting,
OGSA
Title
of the Paper: High Efficient Scheduling Mechanism for Distributed Knowledge
Discovery Platform
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Authors:
Meiqun Liu, Kun Gao
Abstract: Distributed data mining plays a crucial role in knowledge discovery
in very large database. Since the distributed knowledge discovery process is
both data and computational intensive, the Grid is a natural platform for
deploying a high performance data mining service. The key issue for
distributed data mining Grid system is how to scheduling data mining tasks in
a high efficient way. In this paper, we propose a novel and efficient
mechanism which is based on decomposing and mapping data mining tasks to DAG,
and ordering them according the respective execution cost. The results show
that this mechanism is scalable and feasibility.
Keywords: Grid Computing, Data Mining, Tasks Scheduling
Title
of the Paper: Research on E-business Intelligent Examination System
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Authors:
Xin Jin
Abstract: Commonly, the traditional E-business education and training adopts
two ways: the theoretics teaching in classroom and the computer-based
application operation in E-business simulation environment which is like an
E-business web site (but not same as). But it is difficult to check students’
ability of E-business application operation. In this paper, we will discuss an
intelligent examination system that is for checking the examinee’s ability of
E-business application operation. This paper presents the design and
implementation of an intelligent examination system for checking the
E-business application operation capable of the examinees. It proposes a novel
architecture for on-line examination system which is based on E-business
workflow. That system adopts the common client-server pattern with two major
parts, Student site and Teacher site. The Student site provides examinee a GUI
(Graphics User Interface) embedded a WWW browser for answering the paper. The
Teacher site mainly includes paper management subsystem for managing paper
database, a building paper subsystem for building a new paper, and a scoring
paper subsystem for scoring the paper of the examinees. In this paper, we also
analyze and discuss the system architecture, the system simulation
environment, some key questions and the corresponding solutions.
Keywords: Intelligence, intelligent examination system, E-business
application operation, workflow, E-business simulation environment
Title
of the Paper: E-exhibition Towards International Trade under the Current
Global Economic Crisis
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Authors:
Zheng Lei-Na, Pan Tie-Jun, Fang Lei-Lei, Yu Yun, Hu Yue, Bao Hui-Han
Abstract: The current financial and economic crisis broke out all over the
world which makes the international trade faced with unprecedented challenges,
especially to Medium-Sized Enterprise (SME) of China. MICE (Meeting,
Incentive, Convention and Exhibition) industry has been regard as the new
engine to drag the economic improvement while the traditional exhibition show
a decline for the lack of money to enterprise, which make E-exhibition to
flourish because the comparative advantages of low cost, high efficiency,
unlimited display space, non-restricted scale of operation, and a wide range
of audiences, increasing trading opportunities, timely feedback, statistics
and electronic evaluation by Web 2.0 and Web 3.0 technologies. We analyze the
SME objects and requirements of E-exhibition; give the knowledge management
method using semantic web service including product, process, technology,
services and application domain sub ontology. Furthermore, we propose
E-exhibition logical view using Semantic Web, select the consumer goods as the
application domain, and set up an E-exhibition platform by J2EE. In the end,
consumer goods ontology architecture is give and a case study is shown.
Keywords: Knowledge management, E-exhibition, international trade,
Small and Medium-Sized Enterprise, semantic, ontology, web services
Title
of the Paper: Quantitative Analysis of Regional Economic Integration
Process Affected by Economy and Trade Cooperation Between China and Japan
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Authors:
Yu Sun, Guoxin Wu, Changchun Gao
Abstract: With the stepwise advance in comprehensive national strength,
keeping a high level in economic progress has been one of the most crucial
factors to a nation. In order to keep national economy mount up, such proposal
as establishing Economic Integration has been considered to be an effective
way, besides setting down various policies. However, why is “East Asian
Economic Integration” still far away? This paper is to index that status quo
of the trade and economy cooperation between China and Japan has been
analyzed, so is with the East Asia Economics Integration. Based on the
quantitative analysis in econometrics, we apply lineal and nonlineal
regression analysis to get that strong relativity is in between China and
Japan. Also Weight Theory, Lineal Modeling and Games Theory have been used to
support the argument. The reasons that slow down the steps of Integration are
discussed. Furthermore, sticking point will be indicated after conclusive
result has been given.
Keywords: Integration of East Asian Economy, Economy and Trade
Cooperation between China and Japan, Quantitative analysis, Regression
analysis
Title
of the Paper: The Enlightenment to the Chinese Insurance Business by
analysis on the U.S. Government’s Takeover of American International Group
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Authors:
Junlu Wang
Abstract: Since the American sub-debt crisis has erupted, has caused US's
entity economy and even the whole world capital market fluctuation, Its
influence effect does not allow to look down upon. The American International
Group (AIG) takes the world insurance and the financial service leader, also
has paid the huge price. Regarding China, the immediate influence which the
crisis brings is limited The insurance business as the financial service
industry's important composition department, This article thought that has the
necessity to study it to our country insurance business enlightenment.
Keywords: Sub-debt crisis, American Group International, Chinese
insurance business, CDS, CDOs, Financial supervision
Title
of the Paper: Research on Personalized Recommendation Based on Web Usage
Mining Using Collaborative Filtering Technique
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Authors:
Taowei Wang, Yibo Ren
Abstract: Collaborative filtering is the most successful technology for
building personalized recommendation system and is extensively used in many
fields. This paper presents a system architecture of personalized
recommendation using collaborative filtering based on web usage mining and
describes detailedly data preparation process. To improve recommending
quantity, a new personalized recommendaton model is proposed in which takes
the good consideration of URL related analysis and combines the K-means
algorithm. Experimental results show that our proposed model is effective and
can enhance the performance of recommendation.
Keywords: Collaborative filtering, Personalized recommendation, Web
usage mining, Data preparation, Cluster algorithm, Similarity
Title
of the Paper: Study on Application of Advanced J2EE in Stocks Exchange
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Authors:
Xiaoyan Yang, Weifeng Yin, Jifang Li, Deliao Yu
Abstract: Along with Java technology progress, the superiority of J2EE 5.0 is
gradually appearing. Furthermore the invest of stocks is increasingly hot, so
the paper tries to design and implement the system of stocks invest
supervision by recent EJB3.0 under Hibernate and Struts conditions based on
newly J2EE 5.0 . The paper explores the implementation of EJB persistence of
data .The system is tested by several times, it runs effectively. In the
mealtime, the paper discusses on the new basic functionality of JDK5.0 and
J2EE 5 SDK features
Keywords: Multi-tier, platform-independent, J2EE 5, EJB, stocks,
Hibernate, Struts, JDK5.0
Title
of the Paper: Bluetooth Channel Quality Simulation, Estimation and Adaptive
Packet Selection Strategy
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Authors:
Guo Feng, Xiao Qimin, Xiao Qili
Abstract: A full duplex Bluetooth simulation model is presented by Simulink of
MATLAB. The model includes Bluetooth physical layer and baseband layer. A
short range wireless communication channel model is established. The channel
model is used that takes into account positioning, propagation effects and
radio characteristics. Based on those, the radio performance of Bluetooth
system is investigated by simulation, including the throughput of data
transmission, Frame Error Rate and Bits Error Rate of SCO link etc. Through
the simulation, we can see the detail transmission performances of different
packet type. Furthermore, the model can simulate more scenario of Bluetooth
communication, such as coexistences with other ISM devices or interferences
from other Bluetooth piconets. In conclusion, the model can be used to do a
lot of research work, if only little modification is made. Testing system and
device designs early in the development process in this way can substantially
increase productive efficiency and reduces the risk of design flaws. The
transmission performances of Bluetooth 2.0+EDR specification are analyzed,
including average maximum throughput under different channel quality. A new
adaptive select strategy based on the history of the packets errors is
suggested. The channel quality is estimated by the packet error statistics of
recent transmission packets. The type of next packet need to send is judged
and can be adjusted dynamically. The simulation results show that when the
number of the packets used to be decided is about 30, the throughput is
greatly close to the average maximum throughput. The strategy takes little
overhead of the hardware and software. The judgment procedure is simple and
quick. The strategy can be used in the Bluetooth system which has any control
unit.
Keywords: Bluetooth, Packet, Channel Quality, Throughput, Packet Error
Rate
Title
of the Paper: The Degradation, Prevention and Treatment of Black Soil in
Jilin Province
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Authors:
Bian Hong-Feng, Yang Guang, Sheng Lian-Xi, Jiang Jing
Abstract: Northeast China's black soil is mainly distributed in the Songliao
Basin’s upper reaches of Heilongjiang Province and Jilin Province. The black
soil area in Jilin Province is about approximately 45,200 km2, which accounts
for 24.7 percent of the total area. As the result of human interference with
black soil in excess, black soil resources in Jilin have depredated
noticeably. Serious erosion of black soil, reduction of soil nutrients , the
deterioration of physical and chemical properties, and the escalation of soil
pollution, have posed a serious threat on the national food production, the
security of ecology and environment and socio-economic sustainable development
in the future. This paper mainly puts the natural and human factors resulting
in the degradation of the black soil into discussion. The natural factors
refer to global climate change, the terrain characteristics as well as
vegetation cover and so on. The human factors mainly focus on the rapid growth
of population, unreasonable way of farming, soil pollution caused by
industrial and agricultural production, and urbanization leading to the
transfer of soil’s practical function, etc. Through studying the mechanism and
the essence of soil degradation, prevention and treatment of black soil
degradation should begin with the basic characteristics and the process of the
occurrence. .At the same time soil resources and the environment, should be
unified, and different types of degradation should be distinguished..
According to the basic principles of ecology and from the perspective of
ecological balance the measures of biology, engineer, as well as agriculture
should be combined together in order to unify the development and protection.
Keywords: Jilin Province, black soil degradation, prevention and
treatment
Title
of the Paper: Research on the Interaction Among Interest Rate, Exchange
Rate Fluctuations and Capital Market
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Authors:
Mingliang Li, Xinhui Zhou
Abstract: The interest rate and exchange rate fluctuations have very
significant impacts on the domestic economy and capital market development.
Adopted from the traditional theory such as the interest rate parity, capital
flow theory and the classical theory of IS-LM model, the paper does an
in-depth theoretical and empirical research and analysis on the interaction
and complex relationship among the three aspects of RMB interest rates, RMB
appreciation and securities prices when they change. Research shows that there
are strong correlations between Chinese foreign exchange market, money market
and stock market; with the RMB appreciation and interest rate increase, the
capital accumulation effect and stock assets revaluation effect will promote
the overall price level of Chinese Capital market rising. At the same time, in
view of the less flexibility in current RMB interest rate and exchange rate,
and the reverse impacts between currency appreciation and interest rates, we
expect that the effect from RMB appreciation on the capital market will be
weakened compared to the past situation of yen appreciation. However, due to
the effect that the RMB appreciation is expected to form some international
hot money flows, which maybe form a Chinese economic bubble, this trends can
not be neglected, it should be did to maintain a high vigilance and to
cautiously deal with the relationship between the RMB appreciation and
interest rates rise particularly.
Keywords: Currency revaluation, interest rates, capital flows
Title
of the Paper: Analysis on Investment Behavior Deviation
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Authors:
Xinhui Zhou, Mingliang Li
Abstract: The paper adopts from the investment behavior theory and studies the
affecting factors of financial investors in investment decision-making and the
investment fund behavioral deviation. At the same time, the thesis also
analyzes the efficiency of asset allocation and investment behavior of China's
securities investment funds, and studies its impact on China's securities
market. On the basis of this, it also uses LSV model to test the Fund's
herding behavior, the investment behavior of the deviation and its effect on
China's market orientation. At the last, it proposes some suggests and points
out the paths and strategies on correcting investment behavior deviation of
China’s investment fund.
Keywords: Investment Funds; Asset Allocation; Investment Behavior
Deviation; Amending Paths
Title
of the Paper: Analyzing Privacy and Security Issues in the Information Age
- An Ethical Perspective
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Authors:
Ji-Xuan Feng, Janet Hughes
Abstract: Associated with expanding using ICT across the global, there is more
and more concern about privacy and security issues. Today, people find that
their personal information is hard to protect. Results from a literature
review, from a survey and from a case study all indicate a clear solution: the
key is people. It is people who develop ICT, and people who decide the
different ways that ICT is used. Therefore education about international law
and ethics, and education to develop an understanding of cultural differences
will provide a positive attitude to promote the improvement of the privacy and
security situation in the information age. Finally, there is a discussion
about how to establish a viable security culture environment.
Keywords: Security, Privacy, Law, Ethics, Core value, Global culture
education
Title
of the Paper: The Analysis of Uncertain Knowledge Based on Meaning of
Information
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Authors:
Ping Cang, Sufen Wang
Abstract: The paper discusses four types of knowledge concepts, especially
three kinds of uncertain knowledge, based on relationships among data,
information and meaning. The goal is to fuse research results on knowledge
engineering and epistemology. We analyze four kinds of basic connection forms
(i.e. meaning) between information and dada by using formal context, and
obtain their physical signification. Following Dretske’s semantic information
theory, we analyze information entropy of the four types of meaning. Then
using the information entropy obtained, we look at how data convey information
content, and how the types of meaning relate to different concepts in
knowledge. Finally, we realize that uncertain knowledge is involved in all the
above, therefore we further express the four types of meaning (i.e., four
types of connections between information and data) by using Rough Set, and
which deepens our understanding of uncertain knowledge.
Keywords: Data, information, meaning, uncertain knowledge
Issue 2, Volume 6,
February 2009
Title
of the Paper: Modified On-Demand Multicasting Routing Protocol for Ad Hoc
Networks
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Authors:
Amjad Hudaib, Khalid Kaabneh, Mohamad Qatawneh
Abstract: This paper proposes and simulates a new ad hoc multicasting routing
protocol called Modified On-Demand Multicast Routing Protocol (MODMRP). The
MODMRP is based on On-Demand Multicasting Routing Protocol (ODMRP). MODMRP
suggests two approaches aimed to reduce the service traffic; the local
detection of routes and the information usage on the channels condition during
the route information update timer values. The goal of MODMRP is to improve
packet delivery efficiency. Through a course of simulation experiments, the
MODMRP is compared to the ODMRP in reference to number factors such as Ratio
of Packets Delivery and transmission delays. The Simulation results show an
increase in the percentage of delivered multicast datagram on an average of 2%
and a routing overhead costs decreased on average of 20.5% when compared to
ODMRP.
Keywords: Ad hoc Network, MODMRP, ODMRP, Routing Protocol, On-Demand
Multicasting
Title
of the Paper: Multi-Bandwidth Data Path Design for 5G Wireless Mobile
Internets
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Authors:
Abdullah Gani, Xichun Li, Lina Yang, Omar Zakaria, Nor Badrul Anuar
Abstract: The 5th generation is envisaged to be a complete network for
wireless mobile internet, which has the capability to offer services for
accommodating the application potential requirements without suffering the
quality. The ultimate goal of 5G is to design a real wireless world, that is
free from obstacles of the earlier generations. This requires an integration
of networks. In this paper, we propose the design of Multi-Bandwidth Data Path
by integrating the current and future networks for new network architecture of
5G real wireless world. We also present our proposed architecture and results
of the simulation.
Keywords: 5G, Wireless Networks, Multi-Bandwidth Data Paths, Mobile
Internet
Title
of the Paper: Pedagogical Resources Management for E-Learning
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Authors:
Daniel Hunyadi, Iulian Pah
Abstract: E-learning leads to evolutions in the way of designing a course.
Diffused through the web, the course content cannot be the direct
transcription of a face to face course content. A course can be seen as an
organization in which different actors are involved. These actors produce
documents, information and knowledge that they often share. We present in this
paper an ontology-based document-driven memory which is particularly adapted
to an e-learning situation. The utility of a shared memory is reinforced in
this kind of situation, because the interactions do not usually occur in the
same place and in the same time. First we precise our conception of e-learning
and we analyze actors needs. Then we present the main features of our learning
organizational memory and we focus on the ontologies on which it is based. We
consider two kinds of ontologies: the first one is generic and concerns the
domain of training; the second one is related to the application domain and is
specific to a particular training program. We present our approach for
building these ontologies and we show how they can be merged.
Keywords: E-learning, Ontology, Organizational memory, Topic maps
Title
of the Paper: Usability and Performance of Secure Mobile Messaging: M-PKI
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Authors:
Nor Badrul Anuar, Lai Ngan Kuen, Omar Zakaria, Abdullah Gani, Ainuddin
Wahid Abdul Wahab
Abstract: Human life style change substantially when the cellular technology
goes commercial. Short Messaging Service (SMS) and Multimedia Message Service
(MMS) play important roles in our daily life. The recent report carried out by
Mobile Data Association (MDA) [1] shows that the yearly growth of SMS and MMS
achieves 30 percent from year 2007 to 2008. Conventional SMS/MMS does not
provide any protection on the text message sent. It causes the security
threats such as privacy and message integrity. Mobile users seek for the
solution to allow them to exchange confidential information in a safe
environment. This leads to the implementation of M-PKI, which is an
application that secures the mobile messaging service by using public key
infrastructure (PKI). This new approach allows the end-user to send private
and classified message via SMS. Besides, M-PKI offers message classification.
This feature is specially designed to meet various user requirements on the
level of security and performance. The usage and performance of M-PKI
messaging in performing encryption and decryption process are tested on
selected java-enabled phone.
Keywords: Cryptography, message classification, performance, PKI, RSA,
SMS/MMS
Title
of the Paper: Employing Artificial Immunology and Approximate Reasoning
Models for Enhanced Network Intrusion Detection
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Authors:
Seyed A. Shahrestani
Abstract: With the massive connectivity provided by modern computer networks,
more and more systems are subject to attack by intruders. The creativity of
attackers, the complexities of host computers, along with the increasing
prevalence of distributed systems and insecure networks such as the Internet
have contributed to the difficulty in effectively identifying and
counteracting security breaches. As such, while it is critical to have the
mechanisms that are capable of preventing security violations, complete
prevention of security breaches does not appear to be practical. Intrusion
detection can be regarded as an alternative, or as a compromise to this
situation. Several techniques for detecting intrusions are already well
developed. But given their shortcomings, other approaches are being proposed
and studied by many researchers. This paper discusses the shortcomings of some
of the more traditional approaches used in intrusion detection systems. It
argues that some of the techniques that are based on the traditional views of
computer security are not likely to fully succeed. An alternative view that
may provide better security systems is based on adopting the design principles
from the natural immune systems, which in essence solve similar types of
problems in living organisms. Furthermore, in any of these methodologies, the
need for exploiting the tolerance for imprecision and uncertainty to achieve
robustness and low solution costs is evident. This work reports on the study
of the implications and advantages of using artificial immunology concepts for
handling intrusion detection through approximate reasoning and approximate
matching.
Keywords: Intrusion detection, Natural immune system, Soft computing,
Approximate reasoning
Title
of the Paper: A Superior Choice Making System for Optimal Journey Agency
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Authors:
Huay Chang
Abstract: This paper presents a decision choice making system method for
travelers to find the best journal agency. First of all, the factors those
were concerned by the travelers in evaluating the journey agency were
submitted through the literature review. These factors are classified into
three units. These three units are the price unit, the tour product
characteristics unit and the journey agency image unit. Each unit owns its
sub-factors. Subequently, the minimum norm approach is used to the classify
the optimal fit level between the travelers and the selected journal agency.
The findings of this paper appear the understandings of decision key elemtns
those influence consumers ‘purchasing lead to the understanding of consumers’
characteristics. Furthermore, the simulation test results appear the adoption
of appropriate promotion method in keeping or expanding consumers group become
the further key issues for journey agencies.
Keywords: Decision choice making system method, journal agency,
consumers, simulation, minimum norm
Title
of the Paper: Development of An Online Image Repository System for Cardiac
Modeling
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Authors:
Fariza Hanum Nasaruddin, Maryam Zakeryfar, Rodina Ahmad
Abstract: The development of digital cardiac models has become an area of
research all on its own. These researches intend to assist in the
understanding of the heart. The data needed to build a digital cardiac model
may come in various formats, including medical image data, such as MRI, CT
scans, and other scans such as PET and SPECT. The availability of cardiac
images is very important in cardiac modeling research. These images are
difficult to come by for researchers who are not in the medical field. Thus,
any of such available data stored in an on-line system can be made available
to other researchers. This paper discusses and elaborates on the design and
the development of this on-line cardiac image repository system. The
requirement of the system was acquired using the Attribute Driven Design (ADD)
method, which is a method for designing software architecture to satisfy both
quality requirements and functional requirements. The online system which was
developed has only taken into consideration image data, and not others formats
of cardiac data such as ASCII flat files, and video files. The online system
allows for downloading and uploading of data. With the availability of the
data, researchers can spend more time focusing on the modeling processes
rather than on the preprocessing and searching for data.
Keywords: Online repository system, image data, cardiac data, cardiac
modeling, attribute driven design, digital heart model
Title
of the Paper: Assisting Novice Researchers in Utilizing the Web as a
Platform for Research: Semantic Approach
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Authors:
Maizatul Akmar Ismail, Mashkuri Yaacob, Sameem Abdul Kareem, Fariza Hanum
Nasaruddin
Abstract: The access to internet has tremendously changed the way of
information dissemination. The emergence of digital libraries and
institutional repositories provides endless supplies of knowledge. Scholars in
particular, make use of research output in the form of conference proceedings,
journal and theses as references and guideline in generating new knowledge for
the use of future generations. Novice researchers are the form of scholars
which always drown in the ocean of information. This scholarly content resides
on several heterogeneous databases that need to be integrated. Support in the
early stage of study is crucial for novice researchers as it will give them
some insights of where to seek for extra information based on institutions,
people and research trend without having to go through tedious process of
identifying this information all by themselves. Previous studies have
identified support features that are useful for novice researchers among which
are Relevant Literatures and Expert Detection. Thus, the purpose of this paper
is to explore each of these support features and suggest state-of-the art
development approach by utilizing Semantic Web technologies. The algorithms
involved with each of the support features will be discussed. The result of
the implementation shows significant information that can be utilized by
novice researchers in accelerating research process. The evaluation of the
information retrieved from the support features is elaborated. Future works in
enhancing the proposed prototype are also discussed in the concluding remarks.
Keywords: Novice Researchers, Support Features, Semantic Approach
Title
of the Paper: Gender Differences in Learning Flickr: A Picture is Worth a
Thousand Words
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Authors:
Eric Zhi Feng Liu, Yu Fang Chang
Abstract: Networking environments such as BBS, discussion forums, websites,
wiki, Flickr, and blogs have become increasingly popular. Currently, the term
Web 2.0 is widely used. It indicates that users have become the focus of
Internet usage; moreover, unlike one-way information delivery, users can now
upload and download data freely and conveniently. Flickr is one of the Web 2.0
tools. By using Flickr, users can easily upload photos and also share them
with others. Furthermore, users can interact with each other by annotating
pictures. For instance, students share creative photos and express their
thoughts to peers or others through Flickr. Therefore, we hope to formulate a
Flickr course for teaching students how to use this tool. The students’ prior
knowledge was analyzed as the first step of the ADDIE model. On the basis of
the data analysis, we began to design the Flickr course. The results suggested
that most students were satisfied with this course and that they were
confident about using Flickr without gender differences.
Keywords: Flickr, ADDIE model, Instructional system design model, Web
2.0, Gender differences
Title
of the Paper: A Particle Swarm with Selective Particle Regeneration for
Multimodal Functions
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Authors:
Chi-Yang Tsai, I-Wei Kao
Abstract: This paper proposes an improved particle swarm optimization (PSO).
In order to increase the efficiency, suggestions on parameter settings is made
and a mechanism is designed to prevent particles fall into the local optimal.
To evaluate its effectiveness and efficiency, this approach is applied to
multimodal function optimizing tasks. 16 benchmark functions were tested, and
results were compared with those of PSO, HNMPSO and GA-PSO. It shows the
proposed method is both robust and suitable for multimodal function
optimization.
Keywords: Particle Swarm Optimization, Cognitive and Social Parameter,
Selective Particle Regeneration, Mutation Operation, Multimodal functions
Title
of the Paper: Data Collection System Design in SSM Networks with Unicast
Feedback – Server Message Definition
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Authors:
Martin Koutny, Pavel Silhavy, Jiri Hosek
Abstract: The system for mass data collection with cumulative acknowledge is
described in this paper. A server message for cumulative acknowledgement is
specified. The system is development for single source multicast networks.
These networks are characterized by the ability to communicate with concrete
network nodes. The groups of nodes are possible to create in these networks.
It makes these networks more efficient than the any source multicast networks.
The purpose of the first part is to design and describe the system. In the
next part are the possible process mechanism discussed. We also introduce an
initialization, synchronization and the message transfers. In last part, we
discuss a future work.
Keywords: SSM and ASM networks, unicast feedback, data collection, RTP,
RTCP
Title
of the Paper: Topical Web Crawling Using Weighted Anchor Text and Web Page
Change Detection Techniques
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Authors:
Divakar Yadav, A. K. Sharma, J. P. Gupta
Abstract: In this paper, we discuss about the focused web crawler and
relevance of anchor text as well as method for web page change detection for
search engine. We have proposed a technique called weighted anchor text which
uses the link structure to form the weighted directed graph of anchor texts.
These weights are further used for deciding the relevance of the web pages as
the indexing of these pages is done in the decreasing order of weights
assigned to them. Weights are assigned for every incoming link for a node of
the directed graph. We applied our algorithm on various websites and observed
the results. We deduce that the algorithm can be very useful when incorporated
with other existing algorithms. As Web usage has increased exponentially in
the past few years. This collection of enormous web pages is highly changing
and web pages show a rapid change, the degree of which varies from site to
site. We discuss the relevance of change detection and then move on to explore
the related work in the area. Based on this understanding we propose a new
algorithm to map changes in a web page. After verifying results on various web
pages we observe the relative merits of the proposed algorithm.
Keywords: Anchor Text, Directed Graph, Topical Focused Crawling, Web
Crawler, DOM, Checksum, Change detection
Title
of the Paper: The Effect of Emotions and Cognitions on Continuance
Intention in Information Systems
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Authors:
S. C. Wang, Y. S. Lii, K. T. Fang
Abstract: While much of the prior studies on Information system (IS) adoption
and usage continuance have examined cognitive factors, the emotion factors in
understanding and predicting user behavior remained relatively unexplored.
This study proposed a hybrid model that integrates emotion, cognition,
satisfaction, and post adoption behavior in order to obtain a better
understanding of users’ continuance intention of IS. Three hundred and
eighteen Blackboard Learning System (BLS) users were obtained from a survey.
The paper assessed the psychometric properties of the measures through
confirmatory factor analysis and then employed structural equation modeling
analysis in order to examine the prospective model to better predict users’
continuous adoption of IS. The results show that positive and negative
emotions mediate the effect of confirmation and directly predict user
satisfaction. However, perceived usefulness and perceived ease of use predict
the level of user satisfaction better than emotions and perceived usefulness
is the stronger predictor of user satisfaction than other variables.
Keywords: Confirmation, Perceived usefulness, Perceived ease of use,
Positive emotion, Negative emotion, Satisfaction, Continuous adoption
intention
Title
of the Paper: Decision Fusion for Improved Automatic License Plate
Recognition
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Authors:
Cristian Molder, Mircea Boscoianu, Iulian C. Vizitiu, Mihai I. Stanciu
Abstract: Automatic license plate recognition (ALPR) is a pattern recognition
application of great importance for access, traffic surveillance and law
enforcement. Therefore many studies are concentrated on creating new
algorithms or improving their performance. Many authors have presented
algorithms that are based on individual methods such as skeleton features,
neural networks or template matching for recognizing the license plate
symbols. In this paper we present a novel approach for decisional fusion of
several recognition methods, as well as new classification features. The
classification results are proven to be significantly better than those
obtained for each method considered individually. For better results, syntax
corrections are also considered. Several trainable and non-trainable
decisional fusion rules have been taken into account, evidencing each of the
classification methods at their best. Experimental results are shown, the
results being very encouraging by obtaining a symbol good recognition rate (GRC)
of more than 99.4% on a real license plate database.
Keywords: Licence Plate, ALPR, Pattern Recognition, Skeleton Features,
Neural Networks, Decision Fusion
Title
of the Paper: Predicting the Continuance Usage of Information Systems: A
Comparison of Three Alternative Models
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Authors:
S. C. Wang, Y. S. Lii, K. T. Fang
Abstract: This study seeks to examine, through empirical evidence, the
relative explanatory power of three prospective models in predicting users’
continuous adoption of information system (IS). The three models include:
Expectation-Confirmation Theory Model (ECTM, Model 1), the integration of ECTM
with Technology Acceptance Model (TAM) (ECT-TAM model, Model 2), and a hybrid
model integrating ECT, TAM and emotions (Model 3).
Three hundred and fifty web portal site users were obtained from a survey. The
paper assessed the psychometric properties of the measures through
confirmatory factor analysis and then employed structural equation modeling
analysis in order to examine and compare the ability of the three prospective
models to better predict users’ continuous adoption of IS.
Data analysis using LISREL shows that all three models meet the various
goodness-of-fit criteria. In terms of variance explained for intention to
continue IS usage, all three models perform equally well. As for the
explanatory power of satisfaction, Model 3 has the highest R2 (71%), followed
by Model 2 (69%), and Model 1 (68%). This result confirms the erstwhile
discussion of continuance intention behavior in which adding emotion factors
to the cognitive process model will enhance the predictive power of the
satisfaction. Perceived usefulness and perceived ease of use predict the level
of user satisfaction better than emotions and perceived usefulness is the
stronger predictor of user satisfaction than other variables. The Model 3
provides additional information to increase our understanding of IS
continuance intention behavior.
Keywords: Confirmation, Perceived usefulness, Perceived ease of use,
Positive emotion, Negative emotion, Satisfaction, Continuous adoption
intention
Title
of the Paper: A Study on the Applications of Data Mining Techniques to
Enhance Customer Lifetime Value
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Authors:
Chia-Cheng Shen, Huan-Ming Chuang
Abstract: In today’s competitive environment, a successful company must
provide better customized services, that are not only acceptable to customers
but satisfy their needs as well, in order to survive and succeed in gaining an
advantage against competition. It has been proven by many studies that it is
more costly to acquire new customers than to retain old ones. Consequently,
evaluating current customers in order to enhance their lifetime value becomes
a critical factor to decide the success or failure of a business. This study
applies data from customer and transaction databases of a department store,
based on the RFM model, and does clustering analysis to recognize high value
customer groups for cross-selling promotions. Study findings show that
clustering analysis can locate high value customers, and the company can then
apply appropriate target marketing to enhance their lifetime value
effectively. The implication for the marketer is that leveraging techniques of
data mining can make the most from data of customers and transactions
databases and thus create sustainable competitive advantages.
Keywords: RFM, Customer Lifetime Value, Analytical Hierarchy Process,
Target Marketing, Data Mining
Title
of the Paper: Business Failure Prediction Model based on Grey Prediction
and Rough Set Theory
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Authors:
Jao-Hong Cheng, Huei-Ping Chen, Kai-Lun Cheng
Abstract: A lot of methods have been used in the past for the prediction of
failure business like Discriminant analysis, Logit analysis, Quadratic
Function etc. Although some of these methods lead to models with a
satisfactory ability to discriminate between healthy and bankrupt, they endure
some limitations, often due to the unrealistic assumption of statistical
hypotheses. This is why we have undertaken a hybrid advisable system aiming at
weakening these limitations. A hybrid model that predicts the failure firms
based on the past financial performance data, combining grey prediction and
rough set approach is possible to predict using few data and quickly
calculate. The results are very encouraging, compared with original rough set,
and prove the usefulness and highlight the effectiveness of the proposed
method for firm failure prediction.
Keywords: Grey Prediction, Rough Set Theory (RST), Business Failure,
Financial Ratio
Issue 3, Volume 6,
March 2009
Title
of the Paper: Strategic and Collaborative Approach in Information Literacy
Applied in Engineering Teaching
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Authors:
Angela Repanovici
Abstract: This paper provides an overview of an information skills program
integrated into the first year engineering subject "Documentation techniques".
This is a problem based learning subject, which requires the students to work
through and report on an engineering project. Over the past four years the
program has transformed radically as a result of applying an action research
framework which is primarily concerned with continual improvement and change
in practice. Currently the information skills program consists of a studentled
orientation tour, an integrated subject web page (developed using SEARCH AND
WRITE tutorial).
Keywords: Engineering, information literacy, information resources,
search strategies, search engines, invisible web
Title
of the Paper: Optimization of Production Plan through Simulation Techniques
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Authors:
G. Caputo, M. Gallo, G. Guizzi
Abstract: The production costs reduction in a highly competitive environment
is a critical success factor. In particular, in fields where outsourcing is
used frequently and the impact of the material costs is high, a significant
cost reduction can be achieved making more efficient value chain. Moreover,
the use of outsourcing is a way to adjust production capacity depending on
demand. Therefore the coordination and planning of the various rings of the
chain and the estimate of the productive capability of the various production
units become fundamental for a coherent evaluation of promised delivery times.
More and more frequently and in greater detail the Companies at the “end of
the network” require, through capacity assessment a verification of the
available productive capacity of the manufacturing units, both from a quality
and quantity point of view, that each single firm can dedicate to a certain
type of production. In this paper it is presented a simulation model that
allows the elaboration of an operative plan of production through the
verification of finite capacity scheduling of resources. The model tends to
minimize costs of stocking and set-up, considering other production costs as
constant. The simulation is a technique that allows the checking with better
precision of the use of the resources with variation of the ties. This
approach lead to a high performing instrument in the field of the advanced
planning and scheduling through analysis of the various possible views. The
auxiliary use of the optimizing tool available in the ARENA software allows an
optimal solution, confirming the validity of the study of new applications of
the simulative instrument for the verification of productive capacity in the
short term.
Keywords: Supply chain management, advanced planning and scheduling,
finite capacity scheduling, capacity management, simulation
Title
of the Paper: The Development of METAKU to Support Learning in Hypermedia
Environment
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Authors:
Saemah Rahman, Siti Fatimah Mohd Yassin, Normahdiah Sheikh Said
Abstract: The development of learning skills is not given attention in many
classrooms in all levels of education in our education system today. We assume
that students will be able to develop their own learning skills. The
challenges students face in hypermedia learning environment need to be
considered to help them learn effectively in this type of learning
environment. METAKU is developed to assist students to apply metacognitive
learning strategies, that is, planning, monitoring and evaluation during the
learning process in hypermedia learning environment. This paper discusses the
development of METAKU which employed the first three stages of a generic
instructional design model - ADDIE which consists of the following stages: 1)
Analysis, 2) Design, 3) Development, 4) Implementation and 5) Evaluation. In
the analysis stage, the data was collected using a triangulation method done
concurrently: a survey of student’s preference of studying online versus
offline; a focus group interview to identify challenges they face and
strategies they use whilst accessing and studying the hypertext materials; and
a record of student’s interaction with the computer using captivation
software. A total of 240 second year university students in two public
universities in Malaysia were involved in this study. The analysis stage
provides information for stage 2 and 3 where the data collected was used in
formulating the content and design of METAKU. It is hoped that METAKU will be
able to help students develop learning skills in hypermedia learning
environment.
Keywords: Hypermedia learning environment, METAKU learning strategies,
Metacognitive learning strategies, Online study skills
Title
of the Paper: A Global Model for Virtual Educational System
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Authors:
Daniel Hunyadi, Iulian Pah, Dan Chiribuca
Abstract: This paper present a virtual educational environment model which
makes learning easier by using collaboration (and extension, team-research
model) as a form of social interplay. The model represents a universe where
human agents interact with artificial agents (software agents). Considering
the vision of the system, it can be classified among advanced systems for it
is client-oriented (student) and provides value added educational services,
due to the collaborative learning attribute. The model proposes an original
architecture where elements of the socio-cultural theory of collaborative
learning are assigned to the artificial intelligence components (the
multi-agent system). The expected results are: conceptual models (agents,
learning and teaching strategies, student profiles and group profiles,
communication between agents, negotiation strategies and coalition formation),
software entities, and a methodology to evaluate the performance of eLearning
systems.
Keywords: Socio-cultural models, multi-agent system, multi-agent
architectures, collaborative learning, artificial agents, computer-based
learning, distance learning
Title
of the Paper: A Consumer Support Architecture for Enhancing Customer
Relationships
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Authors:
Jyhjong Lin
Abstract: For enterprises, customer relationships have been commonly
recognized as a critical factor to succeed their business. Effective customer
relationships could help enterprises deliver services/products to customers
based on their needs, preferences, or past transactions. This model however
emphasizes on the use of customer information for benefiting enterprises;
customers in contrast receive less information from enterprises. To address
this issue, such technologies have been proposed as recommendation systems and
intelligent agents that provide customers with more sufficient information for
their possible needs/helps. These technologies, nevertheless, have still some
shortcomings that initiate the recent discussion of a new paradigm, namely
Consumer Support Systems (CSS). CSS is specifically structured to support
effective information provision from enterprises to consumers where
sophisticated information management mechanisms are necessarily employed to
help on consumer decision making. In this paper, we present an architecture
for the construction of such a new CSS paradigm that provides an advanced
management of customer relationships by emphasizing on the information
provision from enterprises to consumers. The architecture starts from the
identification of CSS characteristics, through the recognition of
architectural components that support the realization of these issues, and
finally ends with the specification of collaborations among architectural
components to realize these issues. The architecture is modeled by UML
notations and illustrated by a CSS for book publishing.
Keywords: Customer relationship management, consumer support system,
architecture, UML
Title
of the Paper: Controlling and Disclosing your Personal Information
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Authors:
Norjihan Abdul Ghani, Zailani Mohamed Sidek
Abstract: As organizations come to rely on the collection and use of personal
information in order to complete the transactions and providing good services
to their users, more and more user personal information is being shared with
web service providers leading to the need to protect the privacy. Personal
information is processed, stored and disclosed and often it generated in the
course of making a commercial exchange. Credit card numbers, individual
identity number, purchase records, monthly income, and related types of
personal information all have important role with his this commercial
information system. However this creation and use of personal information
raises issues of privacy not only for the individual, but also for
organizations. Easy access to private personal information will cause the
misuse of data, no control over the information and others. Because of this,
it’s important to protect the information not only from external threats but
also from insider threats. Data disclosure when performing a task in web-based
application should be ensured. Within the electronic scenario, personal
information have been collected, stored, manipulated and disclosed without the
owner’s consent. This paper will discuss on the relationship between personal
information and its privacy. We also extended the model introduced by Al-Fedaghi
as a way to control the personal information disclosure. We also suggested
that the use of Hippocratic Database concepts as a way to control the personal
information disclosure.
Keywords: Personal information, privacy, personal information flow
model, Hippocratic Database
Title
of the Paper: Personal Information Privacy Protection in E-Commerce
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Authors:
Norjihan Abdul Ghani, Zailani Mohamed Sidek
Abstract: Today, the world are moving towards e-commerce application in
completing their daily jobs. An e-commerce application becomes the preferred
medium to complete the day’s tasks. Electronic commerce or e-commerce is a
potentially growing business for today’s market. Basically, online shopping
eliminates conventional purchase approach which is labor-intensive and
time-consuming. Through cyber space, order can be placed electronically and
the product will be produced and shipped with the middleman. The potential for
wide-ranging surveillance of all cyber activities presents a serious threat to
information privacy. It gives more bad results in personal information
privacy. In any e-commerce activities, all personal information should be
controlled including their disclosure in order to protect its privacy. This
paper discusses how personal information is used in e-commerce application and
how it should be controlled.
Keywords: Personal information, information privacy, electronic
commerce
Title
of the Paper: Employee Turnover: A Novel Prediction Solution with Effective
Feature Selection
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Authors:
Hsin-Yun Chang
Abstract: This study proposed to address a new method that could select
subsets more efficiently. In addition, the reasons why employers voluntarily
turnover were also investigated in order to increase the classification
accuracy and to help managers to prevent employers’ turnover. The mixed
feature subset selection used in this study combined Taguchi method and
Nearest Neighbor Classification Rules to select feature subset and analyze the
factors to find the best predictor of employer turnover. All the samples used
in this study were from industry A, in which the employers left their job
during 1st of February, 2001 to 31st of December, 2007, compared with those
incumbents. The results showed that through the mixed feature subset selection
method, total 18 factors were found that are important to the employers. In
addition, the accuracy of correct selection was 87.85% which was higher than
before using this feature subset selection method (80.93%). The new feature
subset selection method addressed in this study does not only provide
industries to understand the reasons of employers’ turnover, but also could be
a long-term classification prediction for industries.
Keywords: Voluntary Turnover; Feature Subset Selection; Taguchi
Methods; Nearest Neighbor Classification Rules; Training pattern
Title
of the Paper: Data Protection for Land Consolidation with Distortion
Tolerable LSB Watermarking
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Authors:
Li Li, Chao Zhang, Mingxin Liang, Daoliang Li
Abstract: With the rapid growth of Internet technology, data security
protection has become an important issue. As a tool for improving the
effectiveness of land cultivation, land consolidation plays an important role
in enlarging farming plots and enhancing crop productivity. To fulfill land
consolidation, more and more remote sensing images are widely used. This paper
presents a LSB watermarking algorithm to protect the images data security. In
the proposed scheme, the land reorganization planning map is embedded into a
remote sensing image of the same area for information security and copyright
protection. Before being embedded, the land reorganization planning map is
compressively encoded. The contradiction between large information quantity
and invisibility of digital water marking is perfectly eliminated. To avoid
the shortcoming of being easily attacked in the original LSB method, the host
image is preprocessed by exclusive-OR (XOR) operation. That is, the value of
the least significant bit is decided by the XOR result of the first several
bits. The watermark signal is embedded into the LSB of the processed host
image by XOR operation. Moreover, by applying an optimal adjustment process,
the watermarked image has the ability of distortion tolerance. The
experimental results fully illustrate that the embedded watermark is not only
imperceptible to the human eyes, but also has better security in the
statistical sense. Moreover, the proposed scheme is superior in terms of its
distortion tolerance.
Keywords: Land consolidation, watermarking, least significant bit (LSB),
exclusive-OR (XOR) operation, remote sensing image, data protection, land
reorganization planning map
Title
of the Paper: A Hierarchical Object Oriented Method for Land Cover
Classification of SPOT 5 Imagery
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Authors:
Wei Su, Chao Zhang, Xiang Zhu, Daoliang Li
Abstract: Land cover classification with a high accuracy is necessary,
especially in waste dump area, accurate land cover information is very
important to eco-environment research, vegetation condition study and soil
recovery destination. Funded by the international cooperation project Novel
Indicator Technologies for Minesite Rehabilitation and sustainable
development, a hierarchical object oriented land cover classification is
produced in this study. The ample spectral information, textural information,
structure and shape information of high resolution SPOT 5 imagery are used
synthetically in this method. There are two steps in object oriented
information extraction: image segmentation and classification. First, the
image is segmented using chessboard segmentation and multi-resolution
segmentation method. Second, NDVI is used to distinguish vegetation and
non-vegetation; vegetation is classified as high density vegetation, middling
density vegetation and low density vegetation using spectral information,
object oriented image texture analysis; non-vegetation is classified as vacant
land and main road using length/width. Accuracy assessment indicate that this
hierarchical method can be used to do land cover classification in waste dump
area, the total accuracy increases to 86.53%, and Kappa coefficient increases
to 0.7907.
Keywords: Hierarchical land cover classification, NDVI, object oriented
texture analysis, waste dump opencast coalmine area, SPOT 5
Title
of the Paper: Monitoring of Landscape Change for Waste Land Rehabilitation
in Haizhou Opencast Coal Mine
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Authors:
Yingyi Chen, Daoliang Li
Abstract: Land rehabilitation is being carried out throughout the whole
country. But in many areas, the main purpose of land rehabilitation is to
increase the overall cultivated land area which neglects the eco-construction.
Important tasks of modern landscape ecology are to monitor and assess natural
resources, to examine the impacts and effects of human intervention and, last
but not least, to observe the state of the environment over long periods of
time. The objective of this research was to create a method for land
rehabilitation project using landscape ecology by combining Geographical
Information Systems (GIS) and Landscape Ecology Analysis (LEA). GIS
technologies were developed for the digital preparation and analysis of
historical maps, and subsequent digital land use mapping. The landscape
spatial pattern and influence on landscape were expressed by dominance index,
contagion index, cohesion index, etc. Applying those landscape ecology indexes
landscape spatial pattern influence caused by the land development and
rehabilitation planning of Haizhou coal mine waste area was studied by
comparing landscape characteristics between those before and after planning
implementation. The analysis of the structural landscape changes proved to be
an important aspect.
Keywords: Monitoring, Landscape Ecology, Land rehabilitation, opencast
coal mine
Title
of the Paper: Soil Environmental Quality Assessment in Sustainable
Rehabilitation of Mine Waste Area: Establishing an Integrated Indicator-based
System
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Authors:
Xiang Zhu, Yingyi Chen, Daoliang Li
Abstract: Soil environmental quality is the capacity of a soil to function,
within ecosystem and land use boundaries, to sustain biological productivity,
maintain environmental quality, and promote plant, animal and human health'.
In the long-term, vegetative rehabilitation of mining wastes aims at, as far
as possible, the proper ecological integration of the reclaimed area into the
surrounding landscape, which is sustainable and requires minimal maintenance.
This article presents here an indicator-based system of soil environmental
quality that evaluates sustainable rehabilitation of mine waste through a set
of 2 subindicators, chemical fertility and stocks of organic matter, and
further combines them into a single general Indicator of Soil Quality (GISQ).
The design and calculation of the indicators were based on sequences of
multivariate analyses. Principal component analysis (PCA) was used to assess
soil quality overall. A GISQ combined the different subindicators providing a
global assessment of soil environmental quality. Our findings provide evidence
that selected indicators can provide a definitive, quantitative assessment of
soil environmental quality and lend credence to the value of our approach in
quantifying relationships between soil function and indicators for specific
areas.
Keywords: Soil environmental quality; Sustainable rehabilitation, Mine
waste area; Indicator-based
Title
of the Paper: Feature Extraction Method for Land Consolidation from High
Resolution Imagery
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Authors:
Rui Guo, Daoliang Li
Abstract: Land consolidation is a tool for increasing the area of the arable
land and improving the effectiveness of land cultivation. With the development
of high resolution image, the progress of land consolidation project can be
monitored by acquiring information from the image objectively. This paper
presents a method to extract the wells and roads in land consolidation project
from high resolution images. The well extraction method is based on the gray-level
template matching algorithm. The road extraction method is based on
mathematical morphology, which is a method for detecting image components that
are useful for representation and description. The vector planning maps and
high resolution images used to monitor the completion of land consolidation
project are registered. The candidate areas are created using the functions of
buffer and extraction by mask in GIS. The well template is selected manually
from the image. The template is used to find the wells which match the
template perfectly. In the road extraction section, Top-hat transform and gray
dilation are used to filter the noise of the image. In this way the road
feature in the image became wider and even more obvious to be recognized. Then
image binarization and thinning algorithm are used to extract the one-pixel
centerline of the road. At last, the thinning results are converted to the
final vector detection results.
Keywords: Feature extraction, Mathematical morphology, Template
matching, Land consolidation, Remote sensing
Title
of the Paper: Comparison of Pixel-Based and Object-Oriented Knowledge-Based
Classification Methods using SPOT5 Imagery
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Authors:
Minjie Chena, Wei Sua, Li Lia, Chao Zhanga, Anzhi Yuea, Haixia Lia
Abstract: Land cover mapping is very important for evaluating natural
recourses, understanding the societal and business activities. The remote
sensing techniques provide effective and efficient methods to create such
maps. To high spatial resolution imagery such as SPOT5 imagery, the land cover
classification precision will be improved with the knowledge, Digital
Elevation Model (DEM) data and the spatial information such as texture and.
Both the pixel-based classification method based on the knowledge rule and the
object-oriented fuzzy classification methods have been studied in this paper
using SPOT5 high spatial resolution imagery. Some GIS dataset and the texture
are integrated into the two knowledge-based classifications in this paper. And
the result of accuracy assessment indicates that the two classifications can
catch good classification precision, but the objected-oriented classification
method does better. Besides, the shape and context information can be used
fully to distinguish the roads from the buildings with the objected-oriented
fuzzy classification method, which is hard to accomplish in pixel-based
classification. Furthermore, the objected-oriented classification method is
more suitable in land cover mapping due to its meaningful objects.
Keywords: SPOT5 imagery, Texture, DEM, Pixel-based, Object-oriented,
Knowledge-based rules
Title
of the Paper: Modelling and Method for Beef Quality Risk Identification and
Optimization in Beef Cattle Breeding
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Authors:
Hui Li, Jian Zhang, Lingxian Zhang, Liang Shi, Daoliang Li, Zetian Fu
Abstract: The meat industry is seeking to establish reassurance on
traceability and production techniques that may help to promote confidence in
the integrity and origin of the products. The overall tracing of beef quality
is actually the risk identification and control along the supply chains of
beef production. This study focused on the identification and control methods
of quality risks in China traditional beef cattle breeding with optimization
approaches concerned. The quality risks in beef cattle breeding were
classified by features to develop the disseminated model of these risks and
its algorithms. Then the theory of quality traceability was used and a concept
model of quality risk control was proposed. Tracing units were divided and
tracing nodes were set through optimization. The proposed risk identification
and control models were capable of identifying and handling a product and the
information attached to it throughout the whole production process to retail
packs.
Keywords: Beef Breeding, Risk Identification, Risk Control,
Traceability
Title
of the Paper: Melancholia Diagnosis Based on GDS Evaluation and Meridian
Energy Measurement using CMAC Neural Network Approach
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Authors:
Chin-Pao Hung, Hong-Jhe Su, Shih-Liang Yang
Abstract: In this paper, a preliminary result about the melancholia diagnosis
scheme based on the analyses of depression questionnaire and the meridian
energy of human body using CMAC (Cerebellar Model Articulation Controller)
neural network approach is proposed. Firstly, a large amount data obtained
from hospital, recorded the aged patients’ depression rating scales and the 12
sets meridian energy signals, are sieved out three disease groups’ patterns.
Assuming the recorded data can describe the necessary features of the
melancholia patient. Then, we built a CMAC neural network to learn the
melancholia features depending on the three disease groups’ patterns. By the
sufficient training, the diagnosis architecture will memorize the features of
the selected melancholia patient patterns. Finally, the built diagnosis system
can used to diagnose the depression scale by inputting the 12 sets meridian
energy signals of human body into CMAC neural network. To benefit the pattern
collection, re-training, diagnosis and the data analyses, a PC-based
friendship operation interface is developed in this paper also. Such as the
function of new pattern addition, retraining, and the memory weights
distribution plots are appeared in the interface.
Keywords: Energy medicine, disease diagnosis, melancholia, depression
questionnaire, CMAC, GDS, neural network
Title
of the Paper: Value of Project Management – A Case Study
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Authors:
Pasi Ojala
Abstract: The amount of software has increased in several products. Software
projects have become more complex and their management requires significant
amount of skills from every project manager. The amount of available
resources, strict budgets, cost control and need for accurate reporting and
documentation as well as good quality are part of every project managers’
life. As business challenges project managers more and more it would be useful
to know what areas of project management create biggest value to the projects.
Value Engineering has been a usable method for developing high value products
for several years. It has been applied successfully to software processes as
well as to software product development. This research analyses the value of
project management using Value Engineering based value assessment. This is
done in part by defining the concepts of value, worth, cost and in part by
outlining the Value Engineering process with project management practices. The
practical industrial case shows that there is big variety in value between
typical project management tasks. It also shows that value of project
management tasks can be improved using value Engineering based value
assessment.
Keywords: Project management, software engineering, value engineering,
worth, cost, value
Title
of the Paper: Histogram Remapping as a Preprocessing Step for Robust Face
Recognition
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Authors:
Vitomir Struc, Janez Zibert, Nikola Pavesic
Abstract: Image preprocessing techniques represent an essential part of a face
recognition systems, which has a great impact on the performance and
robustness of the recognition procedure. Amongst the number of techniques
already presented in the literature, histogram equalization has emerged as the
dominant preprocessing technique and is regularly used for the task of face
recognition. With the property of increasing the global contrast of the facial
image while simultaneously compensating for the illumination conditions
present at the image acquisition stage, it represents a useful preprocessing
step, which can ensure enhanced and more robust recognition performance. Even
though, more elaborate normalization techniques, such as the multiscale
retinex technique, isotropic and anisotropic smoothing, have been introduced
to field of face recognition, they have been found to be more of a complement
than a real substitute for histogram equalization. However, by closer
examining the characteristics of histogram equalization, one can quickly
discover that it represents only a specific case of a more general concept of
histogram remapping techniques (which may have similar characteristics as
histogram equalization does). While histogram equalization remapps the
histogram of a given facial image to a uniform distribution, the target
distribution could easily be replaced with an arbitrary one. As there is no
theoretical justification of why the uniform distribution should be preferred
to other target distributions, the question arises: how do other (non-uniform)
target distributions influence the face recognition process and are they
better suited for the recognition task. To tackle this issues, we present in
this paper an empirical assessment of the concept of histogram remapping with
the following target distributions: the uniform, the normal, the lognormal and
the exponential distribution. We perform comparative experiments on the
publicly available XM2VTS and YaleB databases and conclude that similar or
even better recognition results that those ensured by histogram equalization
can be achieved when other (non-uniform) target distribution are considered
for the histogram remapping. This enhanced performance, however, comes at a
price, as the nonuniform distributions rely on some parameters which have to
be trained or selected appropriately to achieve the optimal performance.
Keywords: Face recognition, preprocessing tehniques, histogram
equalization, histogram remapping
Title
of the Paper: Development of a Data Warehouse for Lymphoma Cancer Diagnosis
and Treatment Decision Support
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Authors:
Teh Ying Wah, Ong Suan Sim
Abstract: Data warehousing is becoming an indispensable component in data
mining process and business intelligence. Data warehouses often act as a data
collector, data integrator and data provider in the data mining process. This
paper reviews the development and use of a clinical data warehouse specific to
the Lymphoma or Lymph Node cancer, which could be used by doctors, physicians
and other health professionals, in conjunction with a Clinical Decision
Support System (DSS), to support the clinical process as well as to formulate
the appropriate model to improve the quality of diagnosis and treatment
recommendation decision making. This paper proposes a 5-stage sequential
methodology for the clinical data warehouse development. Research on the
evaluation of the developed data warehouse and how it would support the data
mining process will be discussed in a separate paper.
Keywords: Clinical data warehouse, Clinical Decision Support System (DSS),
Lymphoma or Lymph Node cancer, diagnosis and treatment recommendation decision
making
Title
of the Paper: Information Model of Intelligence and Memorizing in Early
Childhood
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Authors:
Vinko Viducic, Damir Boras, Ljiljana Viducic
Abstract: The object of analysis of this paper is global model of intelligence
and memorizing of information from conception until a child starts to walk for
the period from 2009 until 2020. In order to define main characteristics and
determinants, the model of growth was used. Numerous adequate scientific
methods were used, the most important among them: analysis and synthesis
method, inductive and deductive method, descriptive method, comparative
method, statistical and mathematical method, modelling method (matrix of
growth), proving and disproving method. As model variables are chosen key
factors for strengthening of intelligence, and therefore of memorising of
information. Quantitative analysis is than used in order to determine
importance of individual variables as well as their interdependence.
Keywords: Intelligence, learning, information memorizing, information
model
Issue 4, Volume 6,
April 2009
Title
of the Paper: Analyses of Task Based Learning in Developing "M-Learn"
Mobile Learning Software Solution: Case Study
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Authors:
Majlinda Fetaji, Bekim Fetaji
Abstract: Developing mobile software solutions in order to enhance learning in
University environments by using the new mobile communication technology is
becoming a very popular research focus. However there is a lack of research on
the instruction method that should be used in the development of mobile
learning software as a very important factor in the learning process and in
the software engineering process. In this paper we investigate, develop and
analyses a mobile software solution in using the Task Based Learning model.
The research focuses on the developed software solution and reviews learning
modeling approach focusing on task based learning that from the findings is
concluded as the best approach for mobile learning. For testing purposes
developed is a software prototype called M-Learn and its analyses has been
investigated and recommendations for developing similar software solutions
have been defined.
Keywords: Task based learning, mobile software development, Learning
instructions, m-learning
Title
of the Paper: Shape Matching by Curve Modelling and Alignment
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Authors:
Cecilia Di Ruberto, Marco Gaviano, Andrea Morgera
Abstract: Automatic information retrieval in the field of shape recognition
has been widely covered by many research fields. Various techniques have been
developed using different approaches such as intensity-based, modelbased and
shape-based methods. Whichever is the way to represent the objects in images,
a recognition method should be robust in the presence of scale change,
translation and rotation. In this paper we present a new recognition method
based on a curve alignment technique, for planar image contours. The method
consists of various phases including extracting outlines of images, detecting
significant points and aligning curves. The dominant points can be manually or
automatically detected. The matching phase uses the idea of calculating the
overlapping indices between shapes as similarity measures. To evaluate the
effectiveness of the algorithm, two databases of 216 and 99 images have been
used. A performance analysis and comparison is provided by precision-recall
curves.
Keywords: Curve alignment, Information retrieval, Object recognition,
Image indexing, Precision-recall
Title
of the Paper: A Framework and Implementation of Information Content
Reasoning in a Database
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Authors:
Xiaochuan Wu, Junkang Feng
Abstract: Databases’ capability is limited in terms of inference. Especially,
when users explore information beyond the scope of data within databases, the
databases normally cannot provide the information. The underlying reason of
the problem is that queries are answered based on a direct match between a
query and data (up to aggregations of the data). We observe that it is
possible to find information from a database beyond that. To this end, we
propose a framework for information content reasoning in a database. A number
of basic concepts are defined first. Then we present the framework and explain
how it works. Moreover, we describe how such a framework is implemented by
means of a prototype including a test with sample queries.
Keywords: Information content, Reasoning, Knowledge discovery from
databases, Semantic theory of information, Databases
Title
of the Paper: A Novel Approach for
Missing Data Processing based on Compounded PSO Clustering
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Authors:
Hung-Pin Chiu, Tsen-Jenwei, Hsiang-Yi Lee
Abstract: Incomplete and noisy data significantly distort data mining results.
Therefore, taking care of missing values or noisy data becomes extremely
crucial in data mining. Recent researches start to exploit data clustering
techniques to estimate missing values. Obviously the quality of clustering
analysis significantly influences the performance of missing data estimation.
It was proven that clustering problem is NP-hard. Particle swarm optimization
(PSO) is the recently suggested heuristic search process for solving data
clustering problems. In this paper, a compounded PSO (CPSO) clustering
approach is proposed for the missing value estimation. Normalization methods
are first utilized to filter outliers and prevent some attributes from
dominating the clustering result. Then the K-means algorithm and reflex
mechanism are combined with the standard PSO clustering so that it can quickly
converge to a reasonable good solution. Meanwhile, an iteration-based
filling-in value scheme is utilized to guide the searching of CPSO clustering
for the optimal estimate values. Effectiveness of the proposed approach is
demonstrated on some data sets for four different rates of missing data. The
empirical evaluation shows the superiority of CPSO over the well known
K-means, PSO, and SOM-based approaches, and it is desirable for solving
missing value problems.
Keywords: Particle swarm optimization, Data clustering, Missing values,
Iteration-based filling-in scheme
Title
of the Paper: UWER: An Extension to a Web Engineering Methodology for Rich
Internet Applications
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Authors:
Leonardo Machado, Orlando Filho, Joao Ribeiro
Abstract: This paper introduces UWER, an extension to an existing Web
Engineering Methodology (UML For Web Engineering – UWE) to model Rich Internet
Applications (RIA). Initially it presents the basic concepts behind RIA and
UWE, showing the reasons for choosing this methodology among many others.
After presenting the proposed extensions for UWER, a modeling instance is
shown using a real web site with RIA features. This work concludes with future
directions and issues to be addressed.
Keywords: Rich Internet Applications, Web Engineering Methodology,
Unified Modeling Language
Title
of the Paper: Supporting Architectural Design Decisions through Risk
Identification Architecture Pattern (RIAP) Model
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Authors:
Thamer Al-Rousan, Shahida Sulaiman, Rosalina Abdul Salam
Abstract: Web projects tend to have a high possibility of loss or failure
compared to traditional projects. For this reason, risk management is becoming
more emphasized and systemized in Web projects so as to improve the quality of
difficult decisions that normally encompass a higher level of risk exposures.
Software architecture process is seen as iterative process and the amount of
risk-related software architecture artifacts in each iteration of the process
differ from that of other iterations. Each iteration of a process needs a
unique decision-making process to accommodate certain risk factors. Since each
iteration of Web project design has different types of risks in the
decision-making process, a decision support system should be tailored to
satisfy the specific needs of a particular iteration. In this way, various
risks that arise through the life cycle of a project can be constantly checked
and monitored. This research aims to support architectural design
decision-making process through a risk identification architecture pattern
model called RIAP. The model is anticipated to clarify high-level design
process and to support active design decisions. Consequently, the software
architecture becomes easier to communicate, maintain and evolve. Furthermore,
it supports the analysis, improvement, and reuse of architectural design
decisions process in future Web projects.
Keywords: Risk identification architecture pattern, software
architecture, architectural design
Title
of the Paper: Comparison between Computed Shearing Forces by AASHTO
Specifications And Finite Element Method of Two Continuous Spans of Voided
Slab Bridge
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Authors:
Maher Qaqish, Emad Akawwi, Eyad Fadda, Maher Qaqish
Abstract: Voided slab bridge deck composed of two continuous span is 17.3m
Long and 16m width with all over depth of 0.9m. The voided slab is composed of
20cm top and bottom slabs with circular voided areas of 50cm in diameter and
center to center of these circles of 75cm. The locations of AASHTO loadings
are positioned at certain points of deck slab to give maximum positive and
negative shearings. These locations are determined from one dimensional model.
The analysis of the bridge deck is carried out by two approaches. The first is
AASHTO specifications where one dimensional approach is adopted and the second
is three dimensional approach where finite element analysis is considered. The
maximum shears obtained by both methods are found to be in good agreement with
negligible differences.
Keywords: Bridges, voided slab, AASHTO Loadings and Finite Element
Method
Title
of the Paper: The Considerations of the Web Page Design
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Authors:
Jenn Tang
Abstract: The web page interface is often one of the key factors that
determine the browsers to stay or to leave. Limited visual space should be
utilized to design the optimal layout in order to offer the important message
of web page, increase the surfing, and, furthermore, fully stimulate the
click-through rate. Based on content analysis method, this study takes 326
female shopping sites as examples to categorize 45 main entities from most
websites and further obtains the web page layout of e-commerce in which there
are 7 principles of uniformity for general entities and 5 for specific
entities. According to these findings, another usability tests been conducted
that are user friendly, usefulness, ease of use regarding other random
searched shopping sites for verification. We did discover that the entities
possess the characteristics of position-oriented. Our results offer guidelines
for planning e-commerce web pages.
Keywords: E-commerce, web page layout, shopping sites, female
Title
of the Paper: Improving Cache Global Consistency and Hit Ratio in
Dependency Objects with Semantic Spatial Locality Correlations
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Authors:
Ching-Shun Hsieh, Jui-Wen Hung
Abstract: On requesting cache data in disk, the distribution of spatial
locality is critical to access performance. Unfortunately, spatial locality
properties of cached data is largely ignored, and only temporal locality is
considered. Besides, an individual disk object might induce different
dependency relations in different applications and possibly partial dependency
to several distributed original data source (ODS). This interesting property
might be neglected. Normally, these situations can be improved by
effectiveness of storage caching, prefetching, and prediction of the user
navigation behavior, data layout of storage systems and global consistency
storage replicas. In this paper, we consider the problem and solve it using
data mining techniques and a service routable consistency framework (Global
Distributed Hierarchical Cache Consistent Model; GDHCCM). The model based on a
scalable routing service algorithm that dynamic reconfiguration forwarding
data path within hierarchical enterprise region portals. A novel hypergraph
scheme was also proposed to represent the complex object relations among the
applications. Instead of a local measure that depends only on common objects
among patterns, we propose a global measure process based on the semantic
properties of these patterns in the overall data set. The experiments show the
effectiveness of the proposed framework. Apply scenario can reduce the global
patch service cost; improve performances and minimum the turnaround time in
access the scope of computer games or virtual environments (VE).
Keywords: Cache, spatial locality, global consistency, hypergraph,
prefetching, service routing, virtual environments
Title
of the Paper: Client/Server System for Managing an Audio and Video Archive
for Unique Bulgarian Bells
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Authors:
Tihomir Trifonov, Tsvetanka Georgieva
Abstract: In this paper, a client/server system for the management of data and
its extraction from an audio and video archive for unique Bulgarian bells is
proposed. The realized system provides users the possibility of accessing
information about different characteristics of the bells, according to their
specific interests. The architecture of the Web based system is described as
well as the services offered. The authors present the structure of the created
database that stores the necessary information. A client application is
realized with MatLab, providing the possibility for searching the bells from
the archive according to their sound.
Keywords: Web technologies, database, client/server system, audio/video
archive, bell, sound, digital signal processing, spectral analysis, digital
filter, wavelet analysis, fractal dimension
Title
of the Paper: The Geological Model and the Groundwater Aspects of the Area
Surrounding the Eastern Shores of the Dead Sea (DS) - Jordan
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Authors:
E. Akawwi, M. Kakish, N. Hadadin
Abstract: Many different cross sections were created along the eastern shores
of the Dead Sea (DS). These geological cross sections were used to develop a
geological model of the DS area and determine the groundwater directions in
the area surrounding DS. The geological model showed that the direction of the
groundwater flow is to the west and northwest directions toward the Dead Sea.
This model shows that the most of the geological units dip to the west and
southwest directions toward the Dead Sea. In the area adjacent to the eastern
shores of the Dead Sea the B2/A7 which is defined as upper aquifers were
eroded and the Kurnub sand stone, Zarka and Ram sandstone group which are
defined as a lower aquifers crop out.It shows that the groundwater flows from
the east and northeast to the west and southwest toward the Dead Sea. At the
east of the Dead Sea the upper aquifer is unsaturated because it crops out.
Keywords: Dead Sea, geology, Model, groundwater, Dip, Aquifer, Kurnub
Title
of the Paper: Multi Step Ahead Prediction of North and South Hemisphere Sun
Spots Chaotic Time Series using Focused Time Lagged Recurrent Neural Network
Model
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Authors:
Sanjay L. Badjate, Sanjay V. Dudul
Abstract: Multi–Step ahead prediction of a chaotic time series is a difficult
task that has attracted increasing interest in recent years. The interest in
this work is the development of nonlinear neural network models for the
purpose of building multi-step ahead prediction of North and South hemisphere
sunspots chaotic time series. In the literature there is a wide range of
different approaches but their success depends on the predicting performance
of the individual methods. Also the most popular neural models are based on
the statistical and traditional feed forward neural networks. But it is seen
that this kind of neural model may present some disadvantages when long-term
prediction is required. In this paper focused time lagged recurrent neural
network (FTLRNN) model with gamma memory is developed not only for short-term
but also for long-term prediction which allows to obtain better predictions of
northern and southern chaotic time series in future. The authors experimented
the performance of this FTLRNN model on predicting the dynamic behavior of
typical northern and southern sunspots chaotic time series. Static MLP model
is also attempted and compared against the proposed model on the performance
measures like mean squared error (MSE), Normalized mean squared error (NMSE)
and Correlation Coefficient (r) .The standard back propagation algorithm with
momentum term has been used for both the models. The various parameters like
number of hidden layers, number of processing elements in the hidden layer,
step size, the different learning rules, the various transfer functions like
tanh, sigmoid, linear-tanh and linear sigmoid, different error norms L1,L2
(Euclidean), L3, L4 ,L5 and L?, and different combination of training and
testing samples are exhaustively varied and experimented for obtaining the
optimal values of performance measures. The obtained results indicates the
superior performance of estimated dynamic FTLRNN based model with gamma memory
over the static MLP NN in various performance metrics. In addition, the output
of proposed FTLRNN neural network model with gamma memory closely follows the
desired output for multi- step ahead prediction for all the chaotic time
series considered in the study.
Keywords: Sunspots chaotic time series, multi- step prediction, Focused
time lagged neural network (FTLRNN) , Multilayer perceptron (MLP), Self
organizing feature map (SOFM).
Title
of the Paper: A Document Protection Scheme using Innocuous Messages as
Camouflage
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Authors:
Ching-Sheng Hsu, Shu-Fen Tu, Young-Chang Hou
Abstract: Lin and Lee proposed a document protection scheme which utilized a
meaningful document to cover the secret document. Although some researchers
extended and improved their scheme, the main drawbacks of Lin and Lee’s scheme
are still left unsolved. The aim of our study is to propose a new document
protection scheme to solve these drawbacks. Instead of encoding the secret
codes into index numbers, we generate the cipher message through a series of
comparisons between cheating codes and the logic operator XOR. Compared with
other studies, ours have the following advantages: firstly, the selection of
the cheating document needs not to be restricted to the character set of the
secret document; secondly, the length of the encoded file is the same as that
of the secret document; thirdly, the codes of the cipher message are almost
uniformly distributed so is difficult to analyze without the key; fourthly,
with the help of inner codes, our scheme is applicable to documents in any
languages; finally, our scheme performs efficiently and is easy to implement.
Keywords: Document Protection Scheme, Steganography, Cryptography,
Encoding Method
Issue 5, Volume 6,
May 2009
Title
of the Paper: On the Parallelism of I/O Scheduling Algorithms in MEMS-Based
Large Storage Systems
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Authors:
Eunji Lee, Kern Koh, Hyunkyoung Choi, Hyokyung Bahn
Abstract: MEMS-based storage is being developed as a new storage media that
has several salient characteristics such as high-parallelism, high density,
and low-power consumption. Because physical structures of MEMS-based storage
is different from those of hard disks, new software management techniques for
MEMS-based storage are needed. Specifically, MEMS-based storage has thousands
of parallel-activating heads, which requires parallelism-aware request
scheduling algorithms to maximize the performance of the storage media. In
this paper, we compare various versions of I/O scheduling algorithms that
exploit high-parallelism of MEMS-based storage devices. Trace-driven
simulations show that parallelism-aware algorithms can be effectively used for
high capacity mass storage servers because they perform better than other
algorithms in terms of the average response time when the workload intensity
becomes heavy.
Keywords: MEMS-based storage, Parallelism, Request Scheduling,
Scheduling algorithm, Storage
Title
of the Paper: Recommendation System based on the Clustering of Frequent
Sets
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Authors:
Andrei Toma, Radu Constantinescu, Floarea Nastase
Abstract: Generating shopping recommendations has become a classical problem
in knowledge engineering with extensive practical applications. In this
article we propose a system for the generation of such recommendations based
on considering both local and global influences.
Keywords: Shopping recommendation, frequent sets, clustering,
self-organizing maps
Title
of the Paper: Equilibrium Dynamic Systems Intelligence
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Authors:
Marius-Constantin Popescu, Onisifor Olaru, Nikos Mastorakis
Abstract: Most work in Artificial Intelligence reviews the balance of classic
game theory to predict agent behavior in different positions. In this paper we
introduce steady competitive analysis. This approach bridges the gap between
the standards of desired paths of artificial intelligence, where a strategy
must be selected in order to ensure an end result and a balanced analysis. We
show that a strategy without risk level is able to guarantee the value
obtained in the Nash equilibrium, by more scientific methods of classical
computers. Then we will discuss the concept of competitive strategy and
illustrate how it is used in a decentralized load balanced position, typical
for network problems. In particular, we will show that when there are many
agents, it is possible to guarantee an expected final result, which is a 8/9
factor of the final result obtained in the Nash equilibrium. Finally, we will
discuss about extending the above concept in Bayesian game and illustrate its
use in a basic structure of an auction.
Keywords: Artificial intelligence, Nash equilibrium, Bayesian game
Title
of the Paper: Resonance and Friction Compensations in a Micro Hard Drive
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Authors:
Wilaiporn Ngernbaht, Kongpol Areerak, Sarawut Sujitjorn
Abstract: This paper presents dynamic compensations in a micro hard drive. It
reviews dynamic models of the drive in low-and high-frequency regions. The
nonlinear friction compensation for low-frequency dynamic is achieved via a
fuzzy logic controller. Forward and backward micro-step motion of the
read/write head can be nicely performed. Resonance compensation for
high-frequency dynamic is achieved via linear compensation. The paper presents
some comparison studies of using a cascaded lead compensator, a complex
lead-lag compensator, and a searched polynomial compensator. The compensated
system’s performance is enhanced further by stable nonlinear control. Detailed
descriptions of modelling, design, simulation results, and analysis can be
found in the paper.
Keywords: Resonance, Friction, Compensation, Adaptive tabu search,
Fuzzy logic, Hard drive
Title
of the Paper: Lung Area Extraction from X-Ray CT Images for Computer-Aided
Diagnosis of Pulmonary Nodules by using Active Contour Model
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Authors:
Noriyasu Homma, Satoshi Shimoyama, Tadashi Ishibashi, Makoto Yoshizawa
Abstract: In this paper, we develop a lung area extraction technique from
X-ray computed tomography (CT) images for computer-aided diagnosis (CAD)
systems. In lung cancer cases, pulmonary nodules are typical pathological
changes and thus they are the target to be detected by CAD systems. The
isolated nodules can be detected more easily by CAD systems developed
previously, while previous CAD systems are often hard to detect non-isolated
nodules. The extraction technique can then be used for transforming the
non-isolated pulmonary nodules connected to the walls of the chest into
isolated ones. The technique proposed here is based on an active contour
model, but such model is often trapped into a local optimum solution. To avoid
the local optimum solutions, an essential core of the proposed technique is to
select an appropriate initial contour by using an anatomical feature of the
lung shape in X-ray CT slices. Some experimental results demonstrate the
usefulness of the proposed technique for assisting the CAD systems to detect
non-isolated nodules more accurately.
Keywords: Computer aided diagnosis, Active contour model, Pulmonary
nodules, Anatomical feature, and X-ray CT images
Title
of the Paper: An Application of Fuzzy Delphi and Fuzzy AHP on Evaluating
Wafer Supplier in Semiconductor Industry
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Authors:
Jao-Hong Cheng, Chih-Ming Lee, Chih-Huei Tang
Abstract: Because of the pressure of globalization in the last two decades,
professional services has become an important strategic decision so that
supplier selection is a prime concern. In the semiconductor industry, the
prior researches worked on analyzing and improving the process, and evaluating
the equipment manufacturers. Therefore, being the semiconductor industry
applying a wide huge of advanced technologies, wafer suppliers and foundry and
DRAM manufacturers acquire a large volume of critical materials and
components. Consequently, this study is to identify critical factors related
to the wafer supplier selection. It also has become a new subject by how to
prompt current position of semiconductor industry and their wafer supplier in
Taiwan. Primary criteria to evaluate supplier selection is acquired by the
literatures survey, wafer manufacturers’ data and applying fuzzy Delphi method
(FDM), and then fuzzy analytic hierarchy process (FAHP) is employed to
calculate the weights of these criteria, so as to establish the fuzzy
multi-criteria model of wafer supplier selection. The results indicated a
greatest weight on the dimension of wafer supplier selection, and seven
critical criteria related to wafer supplier selection were: (1) wafer quality,
(2) delivery time, (3) service, (4) price, (5) process capability, (6)
reputation, and (7) past performance.
Keywords: Wafer Supplier, Supply Chain, Semiconductor, Analytic
Hierarchy Process (AHP), Fuzzy Delphi Method (FDM), Fuzzy Analytic Hierarchy
Process (FAHP), Fuzzy Multi-Criteria Decision Making (FMCDM)
Title
of the Paper: Image Compression via Textual Substitution
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Authors:
Bruno Carpentieri
Abstract: Textual substitution methods, often called dictionary methods or
Lempel-Ziv methods, after the important work of Lempel and Ziv, are
one-dimensional compression methods that maintain a constantly changing
dictionary of strings to adaptively compress a stream of characters by
replacing common substrings with indices (pointers) into a dictionary. Lempel
and Ziv proved that the proposed schemes were practical as well as
asymptotically optimal for a general source model. Two-dimensional (i.e.
images) applications of textual substitution methods have been widely studied
in the past. Those applications involve first the application of a
linearization strategy to the input data, and then the encoding of the
resulting monodimensional vector using LZ type one-dimensional methods. More
recent strategies blend textual substitution methods with Vector Quantization.
In this paper we discuss the textual substitution methods for image
compression, with particular attention to the AVQ class of algorithms, and
review recent advances in the field.
Keywords: Data Compression, Dictionary Compression, Image Compression,
Vector Quantization
Title
of the Paper: PCB Inspection for Missing or Misaligned Components using
Background Subtraction
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Authors:
K. Sundaraj
Abstract: Automated visual inspection (AVI) is becoming an integral part of
modern surface mount technology (SMT) assembly process. This high technology
assembly, produces printed circuit boards (PCB) with tiny and delicate
electronic components. With the increase in demand for such PCBs, high-volume
production has to cater for both the quantity and zero defect quality
assurance. The ever changing technology in fabrication, placement and
soldering of SMT electronic components have caused an increase in PCB defects
both in terms of numbers and types. Consequently, a wide range of defect
detecting techniques and algorithms have been reported and implemented in AVI
systems in the past decade. Unfortunately, the turn-over rate for PCB
inspection is very crucial in the electronic industry. Current AVI systems
spend too much time inspecting PCBs on a component-bycomponent basis. In this
paper, we focus on providing a solution that can cover a larger inspection
area of a PCB at any one time. This will reduce inspection time and increase
the throughput of PCB production. Our solution is targeted for missing and
misalignment defects of SMT devices in a PCB. An alternative visual inspection
approach using color background subtraction is presented to address the stated
defect. Experimental results of various defect PCBs are also presented.
Keywords: PCB Inspection, Background Subtraction, Automated Visual
Inspection
Title
of the Paper: An Automated Ligand Evolution System using Bayesian
Optimization Algorithm?
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Authors:
Masaharu Munetomo, Kiyoshi Akama, Haruki Maeda
Abstract: Ligand docking checks whether a drug chemical called ligand matches
the target receptor protein of human organ or not. Docking by computer
simulation is becoming popular in drug design process to reduce cost and time
of the chemical experiments. This paper presents a novel approach generating
optimal ligand structures from scratch based on de novo ligand design approach
employing Bayesian optimization algorithm to realize an automated design of
drug and other chemical structures. The proposed approach searches an optimal
structure of ligand that minimizes bond energy to the receptor protein, and
the structure of ligand is generated by adding small fragments of molecules to
the base structure. The decision of adding fragments are controlled by
Bayesian optimization algorithm which is considered as a promising approach in
probabilistic model-building genetic algorithms. We have built a system that
automatically generates an optimal structure of ligand, and through numerical
experiments performed on a PC cluster, we show the effectiveness of our
approach compared to the conventional approach using classical genetic
algorithms.
Keywords: Automated drug design, ligand docking, screening, de novo
ligand design approach, probabilistic model-building genetic algorithms,
estimation of distribution of algorithms, Bayesian optimization algorithms
Title
of the Paper: Technical Solutions for Integrated Trading on Spot, Futures
and Bonds Stock Markets
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Authors:
Vlad Diaconita, Ion Lungu, Adela Bara
Abstract: This article is an extended version of a paper presented in the
WSEAS MCBE09 conference [10] in which we will present in more detail practical
solution for building an integration tier between an online trading platform
and two stock exchange markets, in a SOA like architecture. Our solution is
constructed using XML, Java and PL/SQL and not third-party costly solutions.
This open source approach, even if it is more difficult to develop and
implement at first, helps a company to control the solution. The system will
not be tied to SOA vendors that are usually keeping their software as secret
as possible, demanding that they will develop, an additional costs, all the
future developments. We are using XML for communication, not only because of
the constraints given by the systems we integrate, but also because it is the
natural choice in a SOA like solution. XML it’s being used to enable web
services and similar, often custom, RPC functionality to allow greater access
to data across multiple systems within an organization and allowing the
possibility of future systems to be created from collections of such RPC
functionality [5, 6].
Keywords: XML, integration, SOA, PL/SQL, Java, Threads, Spot Market,
Futures Market
Title
of the Paper: An Optimized Location-based Mobile Restaurant Recommend and
Navigation System
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Authors:
Zhi-Mei Wang, Fan Yang
Abstract: With the widely used of the intelligent mobile phones with the GPS,
the location-based services has become the a hot issue of mobile
communications research. This paper implements a Mobile Location-based
Restaurant Navigation and Recommend System. In order to improve server-side
response speed for real-time query, we propose a memory pool model, the
expansion Accept command, no-data client polling and interrupt mechanism,
which aims to greatly optimize the server-side control procedures. On the
client side, we combine the latest Web2.0 application data with the
location-based data, and propose a collaborative assessment and recommend
mechanisms, which can provide users with real-time location-based restaurant
and recommend personalized navigation.
Keywords: Mobile Information Share, GPS, Web2.0, Location Based Service
(LBS), Tagging, Collaborative Filtering, Personalized Recommendation
Title
of the Paper: Spectral Representations of Alpha Satellite DNA
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Authors:
Petre G. Pop
Abstract: Detection of tandem repeats can be used for phylogenic studies and
disease diagnosis. The numerical representation of genomic signals is very
important, as many of the methods for detecting repeated sequences are part of
the DSP field. These methods involve the application of a kind of
transformation. Applying a transform technique requires mapping the symbolic
domain into the numeric domain in such a way that no additional structure is
placed on the symbolic sequence beyond that inherent to it. Here we
investigate the application of spectral analysis and spectrograms using a
novel numerical representation to identify and study alpha satellite higher
order repeats in human chromosomes 7 and 17.
Keywords: Sequence Repeats, DNA Representations, Alpha Satellite DNA,
Spectral Analysis, Spectrograms
Title
of the Paper: Block-Based Motion Estimation Analysis for Lip Reading User
Authentication Systems
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Authors:
Khaled Alghathbar, Hanan A. Mahmoud
Abstract: This paper proposes a lip reading technique for speech recognition
by using motion estimation analysis. The method described in this paper
represents a sub-system of the Silent Pass project. Silent Pass is a lip
reading password entry system for security applications. It presents a user
authentication system based on password lip reading. Motion estimation is done
for lip movement image sequences representing speech. In this methodology, the
motion estimation is computed without extracting the speaker’s lip contours
and location. This leads to obtaining robust visual features for lip movements
representing utterances. Our methodology comprises of two phases, a training
phase and a recognition phase. In both phases an n x n video frame of the
image sequence for an utterance (can be an alphanumeric character, word or a
sentence in more complicated analysis) is divided into m x m blocks. Our
method calculates and fits eight curves for each frame. Each curve represents
motion estimation of this frame in a specific direction. These eight curves
are representing set of features of a specific frame and are extracted in an
unsupervised manner. The feature set consists of the integral values of the
motion estimation. These features are expected to be extremely effective in
the training phase. The feature sets are used to characterize specific
utterances with no additional acoustic feature set. A corpus of utterances and
their motion estimation features are built in the training phase. The
recognition phase is accomplished by extracting the feature set, from the new
image sequence of lip movement of an utterance, and compare it to the corpus
using the mean square error metric for recognition.
Keywords: Lip reading, Speech recognition, Motion estimation, User
authentication, Feature Extraction
Title
of the Paper: Agricultural Productivity Potential Assessment by Using
Rainfall Contribution Index in Sub-Sahara Africa
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Authors:
Yu-Min Wang, Seydou Traore, Willy Namaona, Tienfuan Kerh
Abstract: Food deficit alleviation is the most important aspect for poverty
reduction in the entire Sub-Sahara African (SSA) region. This alleviation can
be achieved by increasing agricultural productivity. The deficit is in one way
or the other attributed to inefficient and insufficient use of rainwater. This
paper therefore, examines the scope for meeting the crop water demand under
rainfed condition based on the suitable planting period approach in SSA, in
order to take advantage of the favorable climatic condition. Climatic data
collected from 1996 to 2005 in Ouagadougou and Ngabu, located in Burkina Faso
and Malawi, respectively were used in this study. The rainfall contribution
index and yield estimation model were introduced to examine the availability
of rainwater to suffice the crop water demand and then predicting the yields.
Rainfed agriculture in the study sites is characterized by a short and
monomodal rainy season starting from May to September and November to April,
in Ouagadougou and Ngabu respectively. Ngabu receives annually, an average of
912 mm rainfall, while Ouagadougou receives 698 mm. Based on the index, it has
been realized that there is higher crop water requirement in Ouagadougou than
in Ngabu regardless of the crop and planting dates. It was also observed that,
the rainwater is more sufficient in Ngabu than Ouagadougou. Following the
suitable planting periods determined in this study might increase the yield of
maize, bean, millet, and groundnuts by 10.31, 16.22, 10.57, and 4.82 % in
Ouagadougou, and 5.00, 7.41, 7.14, and 4.30 % in Ngabu, respectively. The
suitable planting periods should therefore be recommended for reducing the gap
between supply and demand for the selected crops under rainfed condition, so
that crop productivity may increase.
Keywords: Agricultural water, food deficit, planting period, rainfall
contribution index, effective rainfall, productivity
Title
of the Paper: Database Analysis Models used for Studying the Residential
Assemble Market
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Authors:
Mirela-Catrinel Voicu, Andreea Banciu, Mihai Dragota, Raul Turcu
Abstract: In this paper we present our own study on residential assemblies,
starting from a particular set presented in [6]. We build a database and we
present our results concerning these data. We present an algorithm for
obtaining aggregated values sets. In order to exemplify its application we
make a study on residential assemblies including apartments with three rooms.
Keywords: Residential assemblies, aggregated value sets, economical
analyses, relational databases, programming environment
Title
of the Paper: Management and Object Behavior of Statecharts through
Statechart DNA
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Authors:
Benjamin De Leeuw, Albert Hoogewijs
Abstract: We propose composed strings called ”statechart DNA” as essential
building blocks for a new statechart (sc) abstraction method. We define the
simplified statechart (ssc) and show that our definition covers the UML 2.0 sc
model, by matching it to all model elements of the StateMachine package of the
UML 2.0 metamodel and to the OCL constraints on these model elements. A Model
Driven Architecture (MDA) is defined, inspired by a PIM-to- PIM model
transformation procedure between UML sc models and ssc models. We discuss the
rationale behind action abstraction in ssc models. This framework is used to
isolate sc DNA, first in ssc models, then in UML sc models. We show how sc
DNA, a compaction of sc construction primitives, can be used to define
behavior model metrics and more generally, to manage and maintain evolving
object behavior. State machine versioning is an important application of
statechart DNA to manage industrial model repositories.
Keywords: Statecharts, UML, Model checking, State machine versioning
Title
of the Paper: Artificial Neural Networks application for Stress Smoothing
in Hexaedrons
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Authors:
Leonardo Ivirma, Mary Vergara, Sebastian Provenzano, Francklin Rivas, Anna
Perez, Francisco Fuenmayor
Abstract: In this paper it is presented the use of artificial neural networks
to improve the tension fields obtained from the finite element discretization
method. It was significantly reduced the time needed to reach solutions, with
accuracy similar to the areas smoothing tensions methods: Superconvergent
Patch Recovered (SPR) and Recovery by Equilibrium Patches (REP) improved. It
is solved two cases that show the comparative advantages in terms of time
spent by the neural network and the techniques described above for making
improvements in the original solution: Artificial Neural Networks used only 7%
and 70% respectively of the original time spent by the smoothing technique in
such cases. As bigger is the magnitude of the problem, the greater the
difference in the time required for the solutions, being better the neural
network. Data used for this study come from cases of different features: with
a smooth solution, a thick wall sphere exposed to inner pressure and one with
singularities, a plate loaded with a lateral crack.
Keywords: Superconvergent Patch Recovery, Stress Smoothing, Artificial
Neural Networks
Issue 6, Volume 6,
June 2009
Title
of the Paper: Organizational Structural Strategies in Risk Management
Implementation: Best Practices and Benefits
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Authors:
Noor Habibah Arshad, Azlinah Mohamed, Ruzaidah Mansor
Abstract: When organizations embark on the implementation of IS projects,
organizations need to be aware of the potential risks associated with the IS
project and they should practice the risk management in mitigating the risk.
Risk management needs to address all factors such as organizational, human,
process and operational that can affect project success. Hence, risk
management is essential for the successful delivery of Information System (IS)
projects. Through risk management best practices, it provides guidance to
strategies and adopt more consistent and systematical risk management approach
and risk methodology for mitigating risk. Therefore, the aim of this study is
to explore the risk management best practices and the benefits of best
practices in Information System (IS) projects in Malaysian Information
Technology (IT) industry particularly on organization structural strategies.
The primary data for this research was collected by means of an interview,
observations, and document reviews conducted at eleven private and public
organizations in Malaysia. The findings from this research showed that with
the organizational structural strategies, it aligns the organization
strategies, technology and knowledge. Furthermore, the establishment of risk
management practices is a strategic mechanism in managing and controlling IS
project risk.
Keywords: Information System; Risk Management; Best Practices; Benefit
of Best Practices; Organizational Structural
Title
of the Paper: IT Outsourcing: An Exploratory Study Based on Transaction
Cost Theory, Relational Exchange Theory and Agent Theory
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Authors:
Syaripah Ruzaini Syed Aris, Noor Habibah Arshad, Azlinah Mohamed
Abstract: The bandwagon effect of Kodak and IBM agreement has lead to more
organizations to involve in IT outsourcing. Even though that is the case, IT
outsourcing is not a panacea. Many researchers have been trying to come out
with ways to effectively manage IT outsourcing. Some of them are anecdote,
some with theoretical foundations and some are supported with experimental
results. Still, there is a need to explore what is currently being a practice
so as to identify the weaknesses and vulnerabilities. As a developing country,
the acceptance towards the effectives of theory to support IT outsourcing
remains a questions. Therefore, besides assessing best practices, this paper
also reviews the practices of three theories namely Transaction Cost Theory,
Relational Exchange Theory and Agent Theory. In order to achieve the
objective, exploratory, qualitative research method was used in this study.
Nine organizations were selected as a sample. The result of the research shows
that even though there are proper guidelines available, some of the
organizations omit some important steps. More shocking, some organizations
deny the importance of adapting theories in current IT outsourcing practices.
As a consequence, some organizations encountered difficulty in managing their
projects. For future works, the weaknesses and vulnerability of current
practices will then be enhanced and a framework for managing IT Outsourcing
will then be proposed.
Keywords: IT outsourcing, Transaction Cost Theory, Relational Exchange
Theory, Agent Theory, Initial Review, Tender Evaluation, Contract Management,
Project Roll-on
Title
of the Paper: IT Governance Mechanisms in Managing IT Business Value
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Authors:
Mario Spremic
Abstract: Most organizations in all sectors of industry, commerce and
government are fundamentally dependent on their information systems (IS) and
would quickly cease to function should the technology (preferably information
technology – IT) that underpins their activities ever come to halt [15]. The
development and governance of proper IT infrastructure may have enormous
implications for the operation, structure and strategy of organizations. IT
and IS may contribute towards efficiency, productivity and competitiveness
improvements of both inter-organizational and intra-organizational systems
[1]. The business value derived from IT investments only emerges through
business changes and innovations, whether they are product/service innovation,
new business models, or process change. In this paper a newly concept of IT
Governance and its mechanisms are explained in further details. IT Governance
is the process for controlling an organization’s IT resources, including
information and communication systems and technology [8]. According to the IT
Governance Institute [10], IT governance can be seen as a structure of
relationships and processes to direct and control the enterprise use of IT to
achieve the enterprise’s goals by adding value while balancing risk vs. return
over IT and its processes. While IT management is mainly focused on the daily
effective and efficient supply of IT services and IT operations, IT governance
is much broader concept which focuses on performing and transforming IT to
meet present and future demands of business and the business’ customers. IT
Governance may be implemented using its key mechanisms such as business/IT
strategic alignment, value creation and delivery, risk management (value
preservation), resource management and performance measurement. In this paper
key analytical IT Governance mechanisms such as information system audit and
IT risk management are explained in further details.
Keywords: IT Governance, Information System Audit, CobiT
Title
of the Paper: Knowledge Transfer Success Factors in IT Outsourcing
Environment
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Authors:
Azlinah Mohamed, Noor Habibah Arshad, Nurul Aisyah Sim Abdullah
Abstract: Due to the advancement of technology, organizations depends more and
more on information technology in order to stay competitive. Thus, there is an
increase of IT outsourcing (ITO) activities especially for a non IT companies.
There are many types of IT outsourcing namely complete outsourcing, facility
management outsourcing and system integration outsourcing. Many of these
outsourcing projects are reported facing with risk due to the technology and
market shift when exercising ITO. This include loss of knowledge when the
outsourcing consumer (OSC) are left with little or no knowledge on the product
developed, implemented and maintained by the outsourcing service provider (OSP).
Thus, this paper addresses the importance to protect and ensure the
organizational knowledge is transferred and shared throughout the organization
in order to stay competitive. In doing so, some influencing factors were
identified in the success of knowledge transfer processes (KTP) within the
context of ITO environments. Seventeen attributes are proposed based upon the
predetermined key factors. The key factors are Knowledge provider (vendor),
Knowledge to be transfer, Knowledge Receiver (client) and the Knowledge
Infrastructure. In order to validate the framework, data are collected using
survey and later statistically analyzed. The refined framework incorporating
best practices yielded four key factors with two influencing attributes
specified for the first factor, three influencing attribute for the second
factor, two attributes for the third factor and six attributes for the fourth
factor. This framework can be seen as an integration of several important
elements involved in KTP, which need to be considered as an important aspect
in facilitating KTP in an ITO environment.
Keywords: IT Outsourcing; Knowledge Transfer; Knowledge Provider;
Knowledge Receiver; Outsourcing Provider; Outsourcing Consumer
Title
of the Paper: Digital Ecosystem Access Control Management
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Authors:
Ilung Pranata, Geoff Skinner
Abstract: The newly emerging concept of Digital Ecosystem (DE) has played a
significant role in today’s technology, especially for Small and Medium
Enterprises (SMEs) to adopt Information and Communication Technology (ICT)
inside their businesses. DE reveals the opportunities to enhance the
productivity and efficiency of each business transaction. Therefore, it will
further contribute to the success of the enterprise’s businesses. Along with
the advancement of DE technology, security has emerged as a vital element in
protecting the resources and information for the interacting DE member
entities in particular. However, current developments of such security
mechanisms for protecting these resources are still in their infancy. This
paper proposes a distributed mechanism for individual enterprises to manage
their own authorization processes and information access permissions with the
aim of providing rigorous protection of enterprise resources.
Keywords: Information management, authorization, authentication, access
permissions, distributed resource protection
Title
of the Paper: An Analysis of Different Variations of Ant Colony
Optimization to the Minimum Weight Vertex Cover Problem
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Authors:
Milan Tuba, Raka Jovanovic
Abstract: Ant colony optimization (ACO) has previously been applied to the
Minimum Weight Vertex Cover Problem with very good results. The performance of
the ACO algorithm can be improved with the use of different variations of the
basic Ant Colony System algorithm, like the use of Elitism, Rank based
approach and the MinMax system. In this paper, we have made an analysis of
effectiveness of these variations applied to the Minimum Weight Vertex
Covering Problem for different problem cases. This analysis is done by the
observation of several properties of acquired solutions by these algorithms
like best found solution, average solution quality, dispersion and
distribution of solutions.
Keywords: Ant Colony, Minimum Weight Vertex Cover, Optimization
Problems, Population Based Algorithms
Title
of the Paper: The Effects of Sunshine-Induced Mood on Bank Lending
Decisions and Default Risk: An Option-Pricing Model
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Authors:
Jyh-Jiuan Lin, Jyh-Horng Lin, Rosemary Jou
Abstract: Even though psychological evidence and casual intuition predict that
weather may lead to changes in equity returns, little attention has been paid
to these changes through asset pricing mechanisms. This paper fills this gap
by examining the effects of sunny weather enhanced upbeat mood on bank spread
management and default risk. An option-based model of bank spread behavior is
developed to study these closely related phenomena. The model is designed to
indicate the fat tails of loan repayments caused by mood effects induced by
good weather. With the good mood influences on bank lending, this paper shows
that sunshine is negatively correlated with the default risk in equity
returns.
Keywords: Default Risk, Sunny Weather, Upbeat Mood, Fat Tails
Title
of the Paper: Rescue Plan, Bank Interest Margin and Future Promised
Lending: An Option-Pricing Model
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Authors:
Jyh-Jiuan Lin, Ching-Hui Chang, Jyh-Horng Lin
Abstract: This paper examines a bank rescue plan for future lending. We
demonstrate that an increase in the loans guaranteed by the government or in
bank responsible for the first stake of any losses results in an increased
interest margin. Eventually, the plan will be lifted when bank becomes
healthy. The bank will keep its promise to increase its future lending at a
reduced margin.
Keywords: Bank Rescue Plane, Interest Margin, Future Lending
Title
of the Paper: Improvement of Document Understanding Ability through the
Notion of Answer Literal Expansion in Logical-linguistic Approach
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Authors:
A. K. Rabiah, T. M. T. Sembok, B. Z. Halimah
Abstract: Document undestanding offer interesting alternative to the kinds of
special-purpose, carefully constructed evaluations that have driven many
recent research in language understanding. It involves the process of reading
a specific text document and answer the questions about it, to demonstrate
one’s understanding of the document by returning exact phrase answers. This
research aims to implement proposed logical formalisms by expanding the notion
of answer literal for understanding task such as question answering. This
paper modify the skolem arguments to broaden the notion of answer literal to
all context of question that conducted, including universal quantifier and
ground term. There are two symbols, fn represents the quantified variable
names, while gn represents ground term variable names. The expanding of the
notion of answer literal enables the document to be tested by all context of
question, including universal quantified and ground term variables. Both
answers link to the concept of capability that is considered in this
experiment.
Keywords: Document Understanding, Linguistic Query, Logical Approach
Title
of the Paper: Integration of Heterogeneous In-service Training Data into a
Nationwide Database
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Authors:
Lung-Hsing Kuo, Hung-Jen Yang, Hsieh-Hua Yang, Jui-Chen Yu, Li-Min Chen
Abstract: The integration of heterogeneous in-service training data offers
possibilities to manually and automatically draw up new information of
professional human resources, which are not available when using only a single
data source. Furthermore, it allows for a consistent representation and the
propagation of updates from one data set to the others. However, different
acquisition methods, data schemata and updating cycles of the content can lead
to discrepancies in professions and expertise accuracy and correctness which
hamper the combined integration. To overcome these difficulties, appropriate
methods for the integration and harmonization of data from different sources
and different types are needed. In this study, twenty-five databases were
integrated into one national level database. More than 220,000 K--12 teachers’
in-service training data were collected through out this heterogeneous
databases integrating project. A unified subject-category was introduced based
upon both the teaching professions and administration professions so as to
absorb all twenty-five sources. The integrated feasibility was evaluated
according to the efficiency and correctness.
Keywords: Integration, Nationwide databases, In-service training data,
Heterogeneous database integration
Title
of the Paper: Context-Based Rate Distortion Estimation and its Application
to Wavelet Image Coding?
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Authors:
Hsi-Chin Hsin, Tze-Yun Sung
Abstract: Embedded image coding in wavelet domain has drawn a lot of
attention. Among noteworthy algorithms is the embedded block coding with
optimized truncation (EBCOT) algorithm, which has been adopted by the JPEG2000
standard. EBCOT is a two-tier algorithm. Tier-1 is composed of bit-plane
coding followed by entropy coding. Tier-2 performs the so-called post
compression rate distortion optimization (PCRD), which requires a large memory
space for storing all the code streams of code blocks; however, some code
blocks of less importance might not be needed for the optimal decoded image at
a bit rate. To avoid waste of computational power and memory space, a simple
context based rate distortion estimation (CBRDE) is thus proposed to arrange
the scanning order of code blocks in an adaptive manner. The CBRDE algorithm
is based on theMQ table of JPEG2000, which is available at both encoder and
decoder. As a result, there is no need to store and transmit the rate
distortion information of code blocks. Experimental results show that the rate
distortion curves are almost convex; this demonstrates the potential of CBRDE
for embedded wavelet image coding.
Keywords: Embedded image coding; wavelet transform; JPEG2000; EBCOT;
PCRD; CBRDE
Title
of the Paper: Classification of Wetland from TM Imageries based on Decision
Tree
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Authors:
Yuan Hui, Zhang Rongqun, Li Xianwen
Abstract: The traditional method of application of remote sensing data for
land cover mapping is the use of supervised classification and unsupervised
classification. Decision tree, showing great advantages in remote sensing
classification, is computationally fast, makes no statistical assumptions, and
can handle data that are represented on different measurement scales. Decision
tree classification has been successfully applied to many classification
problems, but rarely applied to mapping of wetlands. In this study, decision
tree was proposed to extract wetland from Landsat 5/Thematic Mapper (TM)
imageries in a wide area of Yinchuan plain. Tasseled Cap (TC) transformation
was used to identity the different wetland types and normalized difference
vegetation index (NDVI) was computed to distinguish paddy wetland and lake
wetland. Results from this analysis show that the decision tree has an
outstanding performance compared with the supervised classification in maximum
likelihood method. The overall accuracy of supervised classification is
64.60%, while that of decision tree classification was 83.80%. Besides, it
appears that a decision tree combinations different useful knowledge is an
effective and promising classification method.
Keywords: Classification methods, Decision tree, Wetland, Tasseled cap
transformation, NDVI
Title
of the Paper: Malay Document Analysis and Recognition
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Authors:
Norzaidah Md Noh, Mohd Rusydi Abdul Talib, Azlin Ahmad, Shamimi A. Halim,
Azlinah Mohamed
Abstract: Malay Document Analysis and Recongition aims to extract digital
malay documents automaticaly. These extracted documents are presented in the
form of namely articles, newspapers and magazines. Over the years, Malay
digital documents has increased and published on the world-wide-web (www) and
consequently used by many organizations local and abroad. In this paper, we
introduce the implementation of a tool for Malay language document
identification in mono- and multi-lingual documents. The tool development
includes a feature extraction and a neural network technique. The feature
extraction consists of documents filtering, word matching and binary
representation of varied length sentences from many types of documents
including generic text files, MS Word files, Adobe PDF and HTML web pages. The
neural network employs back propagation neural network (BPNN) algorithm with
adjustable number of neurons and weights between input, hidden and output
layer. A database was constructed consisting of 300 sentences of mono and
multi-lingual documents. Experiments show average recognition rate of 90%
accuracy in recognizing of Malay language documents, which has more than 80%,
matched Malay words. Our tool is able to recognise Malay language documents
with reasonable accuracy.
Keywords: Document processing, Language recognition, Backpropagation
neural network, Document filtering, Word matching technique
Title
of the Paper: Fast Information Retrieval from Web Pages
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Authors:
Hazem M. El-Bakry, Nikos Mastorakis
Abstract: In this paper, a new fast algorithm for information retrieval is
presented. Such algorithm relies on performing cross correlation in the
frequency domain between input data 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). The main objective of Internet users
is to find the required information with high efficiency and effectiveness.
Finding information on an object’s visual features is useful when specific
keywords for the object are not known. Since intelligent mobile agent
technology is expected to be a promising technology for information retrieval,
there is a number of intelligent mobile agent based-information retrieval
approaches have been proposed in recent years. Here, the work presented in
[25] for image-based information retrieval using mobile agents is greatly
enhanced. Multiple information agents continuously traverse the Internet and
collect images that are subsequently indexed based on image information such
as the URL location, size, type and the date of indexation. In the search
phase, the intelligent mobile agent receives the image of object as a query
and searches the set of web pages that contain information about the object.
This is done by matching the query to images on web pages faster than the work
presented in [25]. Furthermore, by applying cross correlation, object
detection becomes position independent. Moreover, by using neural networks,
the object can be detected even with rotation, scaling, noise, distortion or
deformation in shape.
Keywords: Fast information retrieval, Content-based image retrieval,
Image clustering, and Intelligent mobile agent
Title
of the Paper: Integration Agent Negotiation and Data Global Consistency
forms Automatic and None Bullwhip Effect Supply Chain
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Authors:
Ching-Shun Hsieh, Jui-Wen Hung
Abstract: Supply chain management (SCM) aims to efficiently integrate
suppliers, manufacturers, warehouses, and retailers, not merely to ensure that
merchandise is produced and distributed in the appropriate quantities, to the
right locations, and at the right time, but also to minimize system wide costs
while satisfying customer requirements. With global transnational enterprise
layout trend, data consistency convergence study is a key of improving
competitions and Bullwhip Effect problem in the GSCM. Besides, data
consistency issues might induce different dependency relations in different
extranet applications and partial dependency to several distributed original
data source (ODS). In this paper, we consider the problem and solve it using a
service routable consistency framework (Distributed Heterogeneous Web Service
Routing based Portal; DHWSRP). The model based on a scalable routing service
algorithm that dynamic reconfiguration forwarding data path within
hierarchical enterprise region portals. By ripple propagate updating; SCM
copies that existed in heterogeneity of enterprise database with specified ODS
partially dependency relationships can be automatically updated. About
efficient integrate SCM partner, we propose a Dynamic Information Exchange
Center (DIEC) for creating a dynamic supply chain network in an Internet
environment. Agent technology supports users in negotiating with upstream
suppliers or downstream demanders and making decisions regarding partner
selection. The framework allows enterprises to find more opportunities to
cooperate with other partners. In business, such a framework not only reduces
purchase costs and saves time for enterprises in reaching agreement but also
eliminate Bullwhip Effect problem in GSCM.
Keywords: SCM, Intelligent agent, Negotiation, Outranking methods,
Bullwhip Effect, Global consistency, Ripple service routing
Title
of the Paper: Dynamic Node Join Algorithm with Rate-Distortion for P2P Live
Multipath Networks
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Authors:
Shyh-Chang Liu, Tsung-Hung Chen, Tsang-Hung Wu, Peter P. S. Wang
Abstract: The delivery of multimedia that efficiently maximizes its quality in
changing network conditions is one of the most challenging tasks in the design
of live streaming systems. This study attempts to improve current P2P
(peer-to-peer) live streaming systems by allowing users to enjoy high-quality
service under the limitations of network resources. The proposed improvement
method involves summing up and analyzing the consideration factors and
restriction factors involving live stream quality during system operations.
The proposed R-D (Rate-Distortion) optimized dynamic nodes join algorithm is
based on multipath streaming concept and receiver-driven approach. This
distributed algorithm enables the system to evaluate the current network
status, in order to optimize the end-to-end distortion of P2P networks.
Results of this study demonstrate the effectiveness of the proposed approach.
Keywords: P2P live streaming, Rate-Distortion, multipath streaming,
receiver-driven, end-to-end distortion
Title
of the Paper: Theory of Multivalent Delta-Fuzzy Measures and its
Application
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Authors:
Hsiang-Chuan Liu, Der-Bang Wu, Yu-Du Jheng, Tian-Wei Sheu
Abstract: The well known fuzzy measures, Lambda-measure and P-measure, have
only one formulaic solution, the former is not a closed form, and the latter
is not sensitive enough. In this paper, a novel fuzzy measure, called
Delta-measure, is proposed. This new measure proves to be a multivalent fuzzy
measure which provides infinitely many solutions to closed form, and it can be
considered as an extension of the above two measures. In other words, the
above two fuzzy measures can be treated as the special cases of Delta-measure.
For evaluating the Choquet integral regression models with our proposed fuzzy
measure and other different ones, a real data experiment by using a 5-fold
cross-validation mean square error (MSE) is conducted. The performances of
Choquet integral regression models with fuzzy measure based on Delta-measure,
Lambda-measure and P-measure, respectively, a ridge regression model and a
multiple linear regression model are compared. Experimental result shows that
the Choquet integral regression models with respect to Delta-measure based on
Gamma-support outperforms other forecasting models.
Keywords: Lambda-measure, P-measure, Delta-measure, Gamma-support,
Choquet integral regression model
Title
of the Paper: Replica Technique for Geometric Modelling
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Authors:
Hameed Ullah Khan
Abstract: Computer graphics incorporate almost everything represented on
computers with the exception of text and sound. A graphic approach is
developed for the construction of figures by using this replica technique. In
this context, an intelligent algorithm is developed to construct geometric
outlines. The algorithm is capable of performing other analysing functions
such as filtering, prediction, recognition and translation.
Keywords: Computer Graphics, Computational Geometry, Digital Graphics
Issue 7, Volume 6,
July 2009
Title
of the Paper: Research on the Conceptualization model for Traceability
System of Meat Food Quality Safety
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Authors:
Zhang Xiaoshuan, Zhang Jian, Zhang Hu, Mu Weisong
Abstract: The quality safety traceability of meat food has played important
role in governmental law, food industry management strategies, and consumers.
Many institution and software companies have developed a lot of traceability
system. There is a growing perception to implementation of reusability, multi
resource data fusion and information sharing of the different system. The
conceptual model is the key basic for the system reusability. The paper
porposes an conceptual model of traceability system via integrating Petri
nets, FMECA, with fuzzy probability, theory of evidence. The traceable
resource unit(TRU) is classified and the infromation flow is optimized. The
result shows that the model can improve the reusability and sharing of
traceability system, conconquently improve the efficiency and decision-making
quality for fast position and forward early warning in meat food quality
safety traceability.
Keywords: Meat food, quality safety, traceability, Petri Network, FMECA,
information fusion
Title
of the Paper: Modeling Method of Traceability System based on Information
Flow in Meat Food Supply Chain
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Authors:
Zhang Hu, Zhang Jian, Shen Ping, Zhang Xiaoshuan, Mu Weisong
Abstract: Over the last decades, the food safety issues become more and more
important, such as BSE crisis, genetically modified organism (GMO) illegal
spreading and melamine-contamination event. The food industry established a
traceability system to reduce the impact of food safety issues, and the system
became an effective method of guaranteeing the food safety. The purpose of
this paper is not only does the traceability system traces the process
information but also reduce the batches of recall. We study the traceable
information flow and risk transmission throughout food supply which contains
raw material, process and distribution. A mathematic model based on dynamic
programming was proposed to solve the risk transmission problem in a China
dumpling factory, and Radio Frequency Identification (RFID) is used to
identify and transfer traceable information in this study. The results show
that factory can plan the produce s schedule effectively according the
mathematic model to decrease redundancy of information, and the information
flow model is the fundament of traceability system. Applying of RFID system
can enhance the ability about information gathering and transmitting.
Keywords: Traceability, information flow, mathematical model, dynamic
planning, food safety
Title
of the Paper: A Study of Two Phases Heat Transport Capacity in a Micro Heat
Pipe
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Authors:
Cheng-Hsing Hsu, Kuang-Yuan Kung, Shu-Yu Hu, Ching-Chuan Chang
Abstract: Present study modifies Cotter’s model by using the dimensionless
liquid flow shape factor, 1 K , to predict the maximum heat transport capacity
and to discus the effects of contact angle. The results indicated that as the
dimensionless liquid flow shape factor, 1 K , decreases, the friction effects
on the vapor-liquid interface flow, v L , increases, and the liquid flow
influenced by the vapor flow also increases. The predicted maximum heat
transport capacity agrees well with Babin’s experimental data of a
copper-water micro heat pipe under, v L =1 and contact angle, α = 10o . In a
micro heat pipe, the results indicated that both the maximum heat transport
capacity and 1 K increases with a increasing contact angleα.
Keywords: Cotter’s model, Contact angle, Heat pipe, Heat transport
capacity, Shape factor, Dimensionless
Title
of the Paper: A Study on PID Control with Indirect Liquid/Steam Heating
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Authors:
Cheng Hsing Hsu, Kuang-Yuan Kung, Shu-Yu Hu, Gia-Chaun Kuo
Abstract: The purpose of this experimental study is to reach homogeneous
temperature control effect on the heat plate. In this research, the heat plate
is kept constant temperature by the state of dual-phases, i.e., the state of
phase change between liquid and steam, so that together with a single-point
PID temperature controller only, the homogeneous temperature condition can
easily be achieved with a smaller range of variation. The liquid-vapor region
can stably predict the temperature for specific pressure and the specific
working fluid. The experimental results show that, as far as the homogeneous
temperature is concerned, the best result we got for the temperature variation
is within ±0.5, which is superior to other researches. The system
ide?ntification can discover the similar system to reach as high as 96.46% of
transfer function.
Keywords: PID control, Homogeneous temperature, System identification,
Phase equilibrium, Temperature control, Semi-conductor
Title
of the Paper: A Knowledge Community Website Mode Based Analysis System on
Web Game
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Authors:
Huay Chang
Abstract: Owing to the mature developed skills of information technology and
widely used of internet today. Many teenagers or students spend much of their
time in internet. There is a high ratio of these users spending much of their
time in playing games. And many of the students’ grades are far behind at
school. Lots of their parents and teachers appear opposed objected their
children involving in playing network games. In this paper the author present
an ‘Apply Knowledge Community Website mode based analysis System on Web Game’
in which embed the history learning in one of the types of internet game: web
game. The knowledge management is mode is employed in our research. The
content of this research is centered on China History. After numerous
simulations, we find that there is a huge ratio of the network game users are
students. The topic of fighting, war or other topics those wouldn’t help the
students in increasing knowledge creation. Therefore, in order to help the
students gain real harvest in playing the network game. Our knowledge
community website mode based analysis system on web game plays an important
role in game world.
Keywords: Knowledge, game, web game, China history, community website
mode based analysis system
Title
of the Paper: Design and Implementation of Soil Spatial Variation Analysis
System
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Authors:
Gao Lingling, Zhang Rongqun, Zhao Ming, Yuan Hui, Cai Simin
Abstract: The advantages of traditional integrated GIS(Geographic Information
System) are integrate each component of GIS and form independent complete
system, for example ArcGIS and MapGIS, but the system is complex,
huge,difficult to install, leads to high cost and difficulty in integrate with
other applications or system and so on. Component GIS that meet various
professional needs not only can carry on reorganization freely and nimbly
between each module, but also has a visualization interface and easy-to-use
standard interfaces. Spatial variation research mainly has traditional
statistics analysis and geostatistics. The advantage of geostatistics is not
only consider the value of the sample size, but also pay attention to sample
space position and its distance, that make up for the defect of traditional
statistics analysis that ignore spatial position. Geostatistics has not been
integrated with GIS is a severe flaw of GIS. So, we develop a light-duty Soil
Spatial Variation Analysis System use VS 2005 in the support of ArcGIS Engine
combined present needs. The article introduces the system's design ideas, the
major function modules, the development and implementing; and use HeBei
province Handan County soil data to do system test. The result shows that the
system has a good operation efficiency and accuracy to meet the general soil
spatial variation analysis need.
Keywords: Spatial gridding methods; Geostatistics; Soil Spatial
variation analysis; Components development; ArcGIS Engine
Title
of the Paper: Spatio-Temporal Location Simulation of Wetlands Evolution of
Yinchuan City Based on Markov-CA Model
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Authors:
Zhang Rongqun, Zhai Huiqing, Tang Chengjie, Ma Suhua
Abstract: Geographical Information System (GIS) is currently still in
description and processing the static spatial data, it is difficult to express
the dynamic data effectively and can not achieve the spatio-temporal analysis
of geographical processes. Classic prediction models of geographic processes
are based on larger geographic unit or administrative unit as the research
object, not applying the high-resolution spatial information and achieving
visual expression of simulation results. The expression of time, space and
state in GIS is discrete. Cellular Automata (CA) is a grid dynamic model whose
spatial interaction and time cause-effect relationship are local; its
expression for time, space and state also is discrete. CA and GIS can be
seamlessly combined so that the two could complement each other in spatio-temporal
modeling. Markov combined with Cellular Automata model, under the support of
GIS, can match the results of the classic prediction model with the spatial
information at the micro scale, and achieve the analog integration of time,
property and space. In this paper the Landsat images of 1991, 1999 and 2006
are used as the basic information source. After established the classification
system and interpretation signs, we can get wetlands landscape distribution
maps the three periods of Yinchuan Plain. The wetlands landscape distribution
maps of 1991 and 1999 are used to set up the initial state matrix and
transition probability matrix of wetland landscape types of the Yinchuan
Plain. The approach of establishing the Markov-CA model is proposed, the
transition rules and technical system of establishing these rules are
explained in details. Finally using the established analog system, the
evolution of Yinchuan Plain wetlands distribution status is simulated and the
wetlands distribution map interpreted from TM image of 2006 is regarded as a
true value to complete the accuracy analysis. The study result shows that the
simulation model established by this method is able to meet the requirement of
wetlands evolution location simulation.
Keywords: Wetlands simulation, Spatio-Temporal location simulation,
Markov-CA, transition probability transition rules, Yinchuan city
Title
of the Paper: Classification of Wetland from TM Imageries based on Decision
Tree
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Authors:
Yuan Hui, Zhang Rongqun, Li Xianwen
Abstract: The traditional method of application of remote sensing data for
land cover mapping is the use of supervised classification and unsupervised
classification. Decision tree, showing great advantages in remote sensing
classification, is computationally fast, makes no statistical assumptions, and
can handle data that are represented on different measurement scales. Decision
tree classification has been successfully applied to many classification
problems, but rarely applied to mapping of wetlands. In this study, decision
tree was proposed to extract wetland from Landsat 5/Thematic Mapper (TM)
imageries in a wide area of Yinchuan plain. Tasseled Cap (TC) transformation
was used to identity the different wetland types and normalized difference
vegetation index (NDVI) was computed to distinguish paddy wetland and lake
wetland. Results from this analysis show that the decision tree has an
outstanding performance compared with the supervised classification in maximum
likelihood method. The overall accuracy of supervised classification is
64.60%, while that of decision tree classification was 83.80%. Besides, it
appears that a decision tree combinations different useful knowledge is an
effective and promising classification method.
Keywords: Classification methods, Decision tree, Wetland, Tasseled cap
transformation, NDVI
Title
of the Paper: Band Selection of Hyperspectral Images Based on Bhattacharyya
Distance
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Authors:
Cai Simin, Zhang Rongqun, Cheng Wenling, Yuan Hui
Abstract: With the development of sensor technology, the spectral resolution
of remote sensing image is continuously improved. The appearance of the
hyperspectral remote sensing is a tremendous leap in the field of remote
sensing. The increasing availability of hyperspectral data and image has
enriched us with better and finer data and it also enable us a much stronger
ability to identify features. However the approaches in the feature identify
of hyperspectral images are not as successful as we thought. Too many bands
and a large amount of data not only bring difficulties in data storage and
transmission, but also bring new challenges in hyperspectral image processing
technology, especially the hyperspectral image feature recognize. Band
selection aims to recognize the features effectively. We should distinguish
the features by utilizing their spectral curve properties. These curves are
found to have important information to recognize the different land cover
types. So it makes great sense to choose the best combination of many bands
and form a new hyperspectral image space. This procedure is usually called
features selection. Bhattacharyya-Distance is one of the commonly used
methods. It is one kind of statistic distance. It can more reasonably measure
the distance between different land types in super multi-dimensional space.
The hyperspectral data used in this paper is obtained by the sensors OMIS
(Operational Modular Imaging Spectrometer). In this paper, we propose a band
selection method based on the Bhattacharyya distance. In the proposed method,
we try to find the optimize band combination. We divide land types in the
research area into five classes (the five classes are seawater, fishery,
building, vegetation and crops); calculate the Bhattacharyya distance between
the five class pairs. According the optimal band subset selected by the
Bhattacharyya distance, we make a classification and evaluate the
classification accuracy. Experimental results show that the proposed band
selection method compares favorably with conventional methods.
Keywords: Hyperspectral images, Band selection, Bhattacharyya distance,
Coincident spectral plot
Title
of the Paper: A Service Platform Design for Affective Lighting System based
on User Emotions
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Authors:
Byounghee Son, Youngchoong Park, Hyo-Sik Yang, Hagbae Kim
Abstract: The development of IT has changed not only computer techniques, but
also human life and the environment. It provides us with more and more chances
to interact with computers. While we feel much unease while communicating with
computers, from device-centered automatic solutions, human emotion are
considered as an intelligent solution has been investigated continuously.
Skillfully dealing with emotions is important in realizing more natural
communication between computers and human being. According to this idea, the
importance of emotional technology has been raised. For investigating human
emotion accurately, however a technique that is able to recognize data
comprehensively, including various and complex user context data, the
condition of the user space, and changes to this space, are in demand.
Additionally, research on sensors which recognize various environments and
studies of reasoning algorithms are necessary. In particular, research related
to standard platforms and storage techniques for the recognition, reasoning,
expression, and similar areas are necessary for extracting different personal
attributes of variables such as gender, age, birth area, and race. This paper
outlines the service platform design for affective lighting system that can
determine the emotional condition of a user and supply light adequate to it
after adaptively recognizing a user’s physiological response as well as the
space in which a user is active.
Keywords: Affective lighting system, Intelligent LED (light emitting
diode), ISO/IEC 11197, User-centric affective life, Service Platform,
Affection, Emotions
Title
of the Paper: Visualizing Patterns of Interview Conversations Regarding
Students' Learning Difficulties in Statistical Concepts via QMDScaling
Techniques
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Authors:
Zamalia Mahmud, Rosli Abdul Rahim
Abstract: Many attempts were made by researchers and practitioners to analyze
interview conversations. Due to different variations in the interview analysis
techniques, it can lead to inconsistencies in the interpretation of the
interview conversations. Through QMDScaling techniques, not only that
interview conversations can be interpreted precisely and accurately, patterns
of the interview conversations can also be visualized and interpreted via a
joint-dimensional space. One area which is gaining popularity in research
involving the use of both qualitative and quantitative data is in the research
of statistical education. On that note, the purpose of this paper is to
describe the methodological techniques used in visualizing patterns of the
interview conversations regarding students’ learning difficulties in basic
statistical concepts as perceived by the statistics educators. The process
involves reducing and categorizing the interview conversations into themes.
This leads to the transformation of the themes into codes and finally
transforming the themes into a binary matrix and into a joint-dimensional
space. These techniques had shown that inconsistencies in the interpretation
of the interview conversations can be avoided and it has helped to understand
issues and reveal findings which could not be elicited and interpreted
precisely through the conventional technique.
Keywords: Interview conversations, learning difficulties, statistical
concepts, qualitative matrix, multidimensional scaling
Title
of the Paper: Ontology-based Intelligent Retrieval System for Soil
Knowledge
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Authors:
Zhao Ming, Zhao Qingling, Tian Dong, Qian Ping, Zhang Xiaoshuan
Abstract: With the development and popularization of Internet, The research
focuses on how to get the requirement quickly and exactly from a large number
of information. Using ontology provides a new intelligent searching method
based on Web. In this paper, According to ontology theory of agriculture's
characters and combining with the major of soil and agricultural chemistry,
the retrieval system took the soil knowledge system as example, took native
XML(eXtensible Markup Language)Database--Tamino as information navigation
database. According the demands input by users, this system will display
related information by tree and understand user's demands through clicks,
primarily realize Web's intellective searching. This article still introduces
the design and implement process of the intellective retrieval system, XML and
JSP(Java Server Pages) technology in detail. The system application can be
spread for other shared information resources retrieval, providing efficient
and relevant services for users.
Keywords: Ontology, soil Knowledge system, intelligent retrieval
Title
of the Paper: Learning Difficulties Diagnosis for Children's Basic
Education using Expert Systems
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Authors:
Jose Hernandez, Gloria Mousalli, Francklin Rivas
Abstract: SEDA (Expert System for Learning Difficulties or “Sistema Experto de
Dificultades para el Aprendizaje” in spanish), is a software designed using
the Expert Systems design methodologies, which contain a knowledge base
comprising a series of strategies for Psycopedagogy evaluation, as well as
providing tools that allow the teacher to discuss psycofunctions and basic
skills for learning. In the vast and complex world of educational work, every
day it is highlighted the importance of special education in all its
dimensions; across the time it have been better known learning problems and
the inescapable responsibility of each specialist in making accurate
diagnostics and prompt remedial action. Psycopedagogy evaluation for diagnosis
becomes focus of this expert system, in response to the concern of many career
teachers, who for various reasons expressed difficulty when preparing
assertive diagnostic describing Learning Difficulties of their students.
Keywords: Expert Systems, learning difficulties, artificial
Intelligence
Title
of the Paper: Application of Alternating Group Explicit Method For
Parabolic Equations
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Authors:
Qinghua Feng
Abstract: Based on the concept of decomposition, two alternating group
explicit methods are constructed for 1D convection-diffusion equation with
variable coefficient and 2D diffusion equations respectively. Both the two
methods have the property of unconditional stablility and intrinsic
parallelism . Numerical results show the two methods are of high accuracy.
Keywords: Alternating group method, parallel computing, explicit
scheme, parabolic equation, finite difference
Title
of the Paper: Face Recognition as an Airport and Seaport Security Tool
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Authors:
Jyri Rajamaki, Tuomas Turunen, Aki Harju, Miia Heikkila, Maarit Hilakivi,
Sami Rusanen
Abstract: The transportation industries have been subjected to unprecedented
scrutiny and regulatory mandates in the post-9/11 era. On the other hand, the
inner border inspections were closed down in Europe with the Schengen
agreement. Freedom of movement has brought new challenges to the authorities
and transportation companies. Effective camera surveillance with a facial
recognition system (FRS) could be a realistic solution. FRS requires camera(s)
and a control device; a computer with special software. The software processes
the material, face images, collected by the cameras. FRS has been used as
monitoring and controlling tool in major events and border crossings. The aim
of FRS is to maintain and improve safety and security in a cost efficient way
by saving manpower. However, FRS is an additional security tool and therefore
not to be trusted only. FRS is being used mainly as a verification method
where the human face functions as an access or pin code. Optimal operational
environment for FRS is a dry environment with stable illumination; most likely
indoor environment is needed to guarantee the operational ability. Images of
the faces should be collected in close distance and the persons, who are to be
identified, should cooperate. FRS is composition of technical elements and
applications which are commonly used in everyday life. Profiling the
environment and setting reasonable aims, FRS could be used in various places.
Hence FRS is challenging the traditional methods as a sophisticated security
tool for the sophisticated situations. So far, the only operational FRS in
Finland started in summer 2008 at Helsinki-Vantaa airport. This paper examines
and collects experiences from the airport pilot project, from literature and
by interviewing experts of the security and facial recognition field. The aim
of the paper is to specify the desired goal state, how FRS could be applied as
a new seaport and maritime security tool.
Keywords: Camera surveillance, Crime prevention, Face recognition,
Facial recognition system, Maritime security, Port security
Title
of the Paper: A Forwarding Station Integrated the Non-Confirmed Routing
Protocol in Ad-hoc Wireless Sensor Networks
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Authors:
Ching-Mu Chen, Tung-Jung Chan, Tsair-Rong Chen
Abstract: An ad-hoc wireless sensor network organizes itself as a network that
many sensor nodes automatically communicate each other in a certain area. Each
sensor node consists of a transmitting unit, receiving unit, central
processing unit, and battery unit. Because of the sensor node’s battery unit
that may not be reachable or rechargeable, it is important for both the base
station and sensor nodes communicating very well for less energy consumption
of sensor nodes to extend the entire ad-hoc wireless sensor network lifetime.
Moreover, in this paper, the ad-hoc wireless sensor network is divided into
many clusters and every cluster contains only one cluster head. All wireless
sensor nodes will transmit their messages to the cluster head where they
belong to. Then, the cluster head will return a confirmed message back to
every sensor. However, it dissipates much energy to retransmit a confirmed
message from the cluster head to the sensor node. Since the base station is
far away from the sensed area, it is necessary to have a forwarding station
forwarding the message from the sensed area to the base station. Finally, this
paper proposes the forwarding station integrated the non-confirmed routing
protocol so that the network lifetime can be extended very well. Also,
simulation results show the network lifetime extended well and the performance
is much better.
Keywords: Energy consumption, Network lifetime, Ad-hoc wireless sensor
networks, Confirmed message, Forwarding station, Routing protocol
Title
of the Paper: Qualitative and Quantitative Analysis of Workflows Based on
the UML Activity Diagram and Petri Net
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Authors:
Kwan Hee Han, Seock Kyu Yoo, Bohyun Kim
Abstract: Since business workflows are closely related to enterprise
performance, successfule execution of workflow is a critical driving force for
strategic advantages of enterprise. Therefore, it is quite essential to
customer satisfaction and productivity enhancement that structural errors in
workflow instances must be detected and their performance must be evaluated
before their enactments. For a structural verification and performance
evaluation of workflows, this paper integrates the strengths of UML activity
diagram and Petri net, proposes the mapping scheme from UML activity diagram
to Petri net, verify the structural errors of workflow using the reachability
tree analysis, and finally predict the workflow performance before its
execution using the business process simulation. Through the proposed workflow
analysis procedure, workflow modelers in enterprises can analyze the
qualitative and quantitative aspects of workflow in an integrated way.
Keywords: Workflow, UML activity diagram, Petri Net, reachability tree,
structural verification, performance evaluation
Issue 8, Volume 6,
August 2009
Title
of the Paper: Identification of Learners' Attitudes Toward Statistics Based
on Classification of Discriminant Function
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Authors:
Zamalia Mahmud
Abstract: This study had identified the profiles of statistics learners’
attitude toward statistics through the classification process of discriminant
function. This multivariate technique method is used to profile the subjects’
attitude into either positive or negative attitude towards statistics. The
study had characterized each profile of learners by relating to his/her
perceived attitudes toward statistics, types of learners, mode of study,
programme structure, age, gender and learners’ evaluation towards the
statistics course. Learners’ attitudes toward statistics were measured using
the Attitudes Toward Statistics (ATS) instrument which comprised four
sub-scales or dimensions, namely, Affect, Cognitive Competence, Value and
Difficulty. These variables are examined as predictors that discriminate
learners with positive and negative attitudes toward statistics. The results
indicate that learners with positive attitudes can be reliably distinguished
from learners with negative attitudes toward statistics across the four ATS
sub-scales, types of learners, mode of study and learner’s evaluation towards
the course. The results would assist instructors to fine-tune their teaching
methodologies to optimize the teaching and learning of statistics in the
classroom.
Keywords: Discriminant function, statistics learners, attitudes toward
statistics, profiles
Title
of the Paper: Grey Group Model Forecasting of Quarterly Accounting Earnings
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Authors:
Zheng-Lin Chen, Chan-Chien Chiu, Chia-Jui Lai
Abstract: Forecasting quarterly accounting earnings is an important task in
prospective analysis and seasonality is an important phenomenon in those
data’s behavior. In this paper, we investigate the efficiency of applying grey
group model to forecast the earning per share. Unlike traditional statistical
model such as Foster Model, grey group model inheres not only easy to
calculate but also few observations needed than statistics methods when model
building. Furthermore, the model liberates the users from the sample data
assumptions from statistics analysis such as identically independent
distribution. A data sample with fifty firms trading on Taiwan Stock Exchange
is employed here and the forecasting performances are compared with those
obtained by Foster Model. The results demonstrate that the grey group model is
a competitive and competent one in prospective analysis.
Keywords: Quarterly Accounting Earnings, Forecasting, Grey Group Model
Title
of the Paper: WEB based Technology in Planning Sports Education in Primary
Schools
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Authors:
Danimir Mandic, Dragan Martinovic, Dragoljub Visnjic
Abstract: This paper deals with modern technologies which can be used for
realization of sport education in primary schools. The physical education
syllabus is organized around thematic areas, one of which is the so-called
sports and technique education. This programmed framework is defined by its
own educational contents and is based on requirements which concern motor
skills at different levels of difficulty. During their physical education,
students gain certain motor skills which are relevant for their everyday life,
work or sports and recreation trainings. This paper deals with a Data Base
Management system which we create to measure, calculate and define the optimal
exercises for sports and technique education in primary schools.
Keywords: WEB portal, Informational technology, Physical education,
Syllabus,, Evaluation, Teaching
Title
of the Paper: Design and Implementation of Photogrammetry Based Product
Re-Realization
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Authors:
Jiacai Wang, Ichiro Hagiwara
Abstract: This study presents an experimental procedure of reverse engineering
system for rapid modeling and manufacturing of products with complex freeform
surfaces. Its ultimate purpose is to explore a fast, efficient, economical and
practical route to reproduction of existing physical objects with digital
camera and CNC machine tools for small and medium-sized manufacturers on a
P2P-based multimedia collaborative environment. This paper focuses on
developing a prototype of photogrammetry based 3D digitization, B-spline
surface model reconstruction, and tool path generation based on Open CASCADE
kernel. Experiments show that the method is applicable for reverse modeling of
freeform objects with moderate accuracy requirements. Therefore, the presented
schema is a valid alternative to laser scanning techniques and coded
light-based triangulation approaches with an important reduction of the
hardware costs and time.
Keywords: Reverse engineering, Photogrammetry, Point cloud, B-Spline,
Tool path generation
Title
of the Paper: A Graphical Method of Detecting Pneumonia Using Chest
Radiograph
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Authors:
Norliza Mohd. Noor, Omar Mohd. Rijal, S. A. R. Abu-Bakar, Mohd. Iqbal, Gan
Chew Peng
Abstract: An important ingredient of health care is the correct initial
diagnosis of chest ailments using images of chest radiograph. This paper
develops a simple graphical method to aid the initial screening and
discrimination of pneumonia patients (PNEU) from pulmonary tuberculosis (PTB)
patients, lung cancer (LC) patients and normal healthy individuals (NL).
Approximate confidence regions using principal component methods on selected
texture measures detect and discriminate PNEU from PTB, LC and NL. A brief
simulation study indicates that the probability ellipsoid is robust to mild
deviation from normality with the presence of two outliers. The main result of
this study is that the PNEU-ellipsoid when applied to test data is capable of
detecting pneumonia in the sense that 100% of NL, 85% of LC and 65% of PTB
will be rejected when using contrast texture measures. Using the combination
of twelve features gives similar results. Membership of PNEU-ellipsoid
obtained from the chest radiograph image can be used as a useful first stage
detection of pneumonia.
Keywords: Image manipulation and recognition, medicine, texture
measures, statistical methods
Title
of the Paper: Measurement of Service Effectiveness and Establishment of
Baselines
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Authors:
Dzenana Donko, Ismet Traljic
Abstract: In this paper the concept of the measuring service effectiveness
focusing on customer-defined quality, continual improvement, employee
empowerment, and measurement-based management and feedback is described.
Metrics must be developed based on the priorities of the strategic plan, which
provides the key business drivers and criteria for metrics. We will define
these metrics and relevant information for their evaluation and establishment
of measurement criteria. The most difficult part in implementation of this
approach is consolidation. Described framework will captures relationship
between business and IT service and will identify quantitative technique for
establishing baselines and discovering possible losses during deployment of
processes.
Keywords: Service management lifecycle, service operation, balanced
scorecard, strategic objectives
Title
of the Paper: Web-based Multimedia for Distance Learning
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Authors:
Rong-Jyue Fang, Hua-Lin Tsai, Chi-Jen Lee, Yi-Hsing Chang
Abstract: Education is now engaged in a transitional period with respect to
new technologies which is unique in its history. No previous technologies
which have been proposed to “revolutionize” education have simultaneously had
identical or equivalent revolutionary consequences for this world. Given the
technological resources, dealing with the challenges to their effective
utilization in education will focus on human-professional. To assist web-based
multimedia for distance education, it is important to understand the
characteristic and its educational concerns. This study was to identify
characteristics of web-based multi-media for distance learning settings.
Keywords: Web-based multimedia, distance learning
Title
of the Paper: Using Electromagnetic Radiation (EMR) and Continuous Vertical
Electrical Sounding (CVES) to Locate Zones of Weakness for Submarine
Groundwater Discharge (SGD)
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Authors:
Emad Akawwi, Abdallah Al-Zoubi, Maher Kakaish, Abdalrahman Abueladas
Abstract: The geophysical techniques; the electromagnetic radiation and
vertical electronic sounding were used in this study for achieving our goals.
The major objective of this study is to investigate and evaluate the active
faults, fractured zones and the subsurface sinkholes along the Eastern shores
of the Dead Sea. The faults and the fractures consider weakness zones of the
submarine groundwater discharge. Then by determining the subsurface
structures, features control the submarine groundwater discharge into the Dead
Sea. The first EMR profile was started at coordinates 31° 410 28.1800 N and
35° 340 38.8700 E at the South Sweimah area at the northern part of the Dead
Sea. Many fractured zones were found along this profile. A main highly
fractured zone was observed at a distance between 790 and 1500 m to the north
of the starting point. Another one was observed between 880 and 1000 m to the
north of the starting point. A few sinkholes were observed between distances
of about 890 m and 1265 m to the north of the starting point. The main
sinkhole was recognized at a distance of 2718 to 2730 m to the north of the
starting point. The second EMR profile was carried out at the coordinate of
31° 4362.700 N and 35° 35 33.400 E. The geological features were found at
distances of 2455 to 2460 m from the starting point and many of the active
fault and joints were found along this profile at distances intervals of about
310-315 m, 660-665 m and at 695-700 m from the starting point. The main
interesting areas were found at the distance of 2440-2450, 2635-2643 m from
the starting point. The main fractured zones were found between 2490 and 2505
m and from 2330 to the end of the profile at coordinates 31? 45? 45.07?? N and
35? 34? 33.48?? E. The vertical electrical sounding profile shows that The
first shallow zone is located at offset between 0 and 40 m the second zone
located at offset between 320 and 390 m and 12 m deep from the surface. The
vertical distortion of resistivity values at horizontal distances 240 m
represent may due to shallow fault.
Keywords: Electromagnetic Radiation, Fault, Sinkholes, Subsurface,
Fractures, Dead Sea, vertical electrical sounding
Title
of the Paper: Prediction of Grid-Photovoltaic System Output Using Three-variate
ANN Models
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Authors:
Shahril Irwan Sulaiman, Ismail Musirin, Titik Khawa Abdul Rahman
Abstract: This paper presents the prediction of total AC power output from a
grid-photovoltaic system using three-variate artificial neural network (ANN)
models. In this study, two-hidden layer feedforward ANN models for the
prediction of total AC power output from a grid-connected photovoltaic system
have been considered. Three different models were configured based on
different sets of ANN inputs. In addition, each model utilizes three types of
inputs for the prediction. The first model utilizes solar radiation, wind
speed and ambient temperature as its inputs while the second model uses solar
radiation, wind speed and module temperature as its inputs. The third model
uses solar radiation, ambient temperature and module temperature as its
inputs. Nevertheless, all the three models employ similar type of output which
is the total AC power produced from the grid-connected system. Data filtering
process has been introduced to select the quality data patterns for training
process, making only the informative features are available. Thus, the
regression analysis and root mean square error (RMSE) performance of each
model could be enhanced. After the training process is completed, the testing
process is performed to decide whether the training process should be repeated
or stopped. Besides selecting the best prediction model, this study also
exhibits some of the experimental results which illustrate the effectiveness
of the data filtering in predicting the total AC power output from a
grid-connected system. Each ANN model was tested with Levenberg-Marquardt
training algorithm and scaled conjugate gradient training algorithm to select
the best training algorithm for each model. Fully trained ANN model should
later be able to predict the AC power output from a set of un-seen data
patterns.
Keywords: Artificial Neural Network (ANN), photovoltaic (PV),
regression coefficient (R), root mean square (RMSE), prediction, solar
radiation (SR), ambient temperature (AT), wind speed (WS), AC power
Title
of the Paper: Students' Understanding of Plagiarism and Collusion and
Recommendations for Academics
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Authors:
Zaigham Mahmood
Abstract: Plagiarism and collusion are forms of academic misconduct. In
academic institutions, plagiarism is on the increase and with the ready
availability of information though the Internet and essay mills, it is
becoming an issue of concern. Although, plagiarism and collusion are regarded
as academic offence with severe penalties, a large number of students are
still committing this offence, sometimes with intent. This paper discusses how
and why some students plagiarize, collude or collaborate (when collaboration
is not allowed). It also details different forms of plagiarism and reports the
results of an experiment to understand students’ understanding and
perceptions. A questionnaire was constructed with a number of simple scenarios
and students were asked to determine whether they were instances of
plagiarism, collusion or collaboration. Results show that whereas students
think they know what plagiarism is, they cannot always identify it when
presented with different scenarios. The paper also mentions a number of
plagiarism detection tools and suggests strategies for the lecturing staff to
adopt - to deter students from submitting plagiarized work.
Keywords: Plagiarism, Collusion, Collaboration, Cyber plagiarism,
Contract cheating
Title
of the Paper: Development of Teaching and Learning Method on Islamic
Pedagogy in West Africa
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Authors:
Maimun Aqsha Lubis, Mohammed Diao, Ramlee Mustapha, Ruhizan Mohd Yasin
Abstract: The influence of Islam in West African education systems was
significant. The transformation from traditional Quranic schools to more
modern Islamic education was slow but evident. However, there was a lack of
empirical study on the implementation of Islamic pedagogy in West African
countries. Therefore, this study was conducted to examine the development of
Islamic teaching and learning in West African. Data was collected through
questionnaire and observation. This study highlighted the role of the
traditional of Islamic learning in West Africa, such as Timbuktu, Gene, Kanem
and Bornun. The teacher needs to embrace the educational methodology and
technology and able to apply ideas from various sources. Minority teachers
agree with the use of traditional method and majority of them agree that
traditional method in teaching and learning process needs to be developed.
Workshop, seminar and discussion are the educational methodology and approach
that can develop the traditional Islamic teaching.
Keywords: Islamic pedagogy, Quranic schools, West Africa, educational
technology in Islamic pedagogy, educational development, traditional method,
modern approach
Title
of the Paper: Educational Technology as a Teaching Aid on Teaching and
Learning Of Integrated Islamic Education in Brunei Darussalam
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Authors:
Maimun Aqsha Lubis
Abstract: This study was carried out to examine the extent of the
implementation of the Integrated Islamic Education system and its enhancement
on teaching and learning through technology. This study is a qualitative
research into the implementation of educational technology in the teaching and
learning processes of Integrated Islamic Education in Brunei Darussalam. The
Pioneer Schools (Sekolah Rintis) and the Thoughtful School (Sekolah Hatiminda)
are solid evidence that Brunei has decided to settle on the Integrated Islamic
Education for its future generations. The analysis of the interviews and
questionnaires conducted concluded that Educational Technology was already
being utilized to some extent in the classroom. However, they did not realize
that they have been using and applying Educational Technology daily. The
teachers need to make the teaching and leraning process effective and
interesting. The Educational Technology practiced in primary schools is
slightly limited in the areas of application of teaching methodology and
approach, application of media in teaching and management and administration
of the research schools.
Keywords: Integrated Islamic Education, teaching and learning,
educational technology, Brunei Darussalam, Islamic school, application of
media in teaching and management
Title
of the Paper: Teaching and Learning Process with Intergration of ICT - A
Study on Smart Schools of Malaysia
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Authors:
Maimun Aqsha Lubis, Siti Rahayah Ariffin, Mohammed Sani Ibrahim, Tajul
Ariffin Muhammad
Abstract: The mission 2020 basically is to develop a world class quality
educational system which will realize the full potential of the individual and
fulfil the aspiration of the ‘One Malaysian nation’. This will only happen if
education departs from the disinterested rote learning mode, and explores how
information technology can be used to encourage active, creative, and
independent learning. Therefore, Malaysia needs to make the critical
transition from an industrial economy to being a leader in the Information
Age. In order to make this vision a reality, Malaysian Government took a
strategic project through smart school. Smart Schools were identified as
having a key role to increase the number of ICT-skilled to meet the demand of
industry that would be intergrating ICT into their process. It is a need to
make a fundamental shifts towards a more technologically literate and thinking
workforce, able to perform in a global work environment and use the tools and
technology available in the Information Age.
Keywords: Smart school, technology in education,ICT-Skilled people,
Malaysia experience, classroom and technology, learning process
Title
of the Paper: Educational Strategy And Technique in Teaching and Learning
Islamic Education: Perception of African Teachers
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Authors:
Maimun Aqsha Lubis, Mohd Isa Hamzah, Mohd Arif Ismail, Nik Mohd Rahimi Nik
Yusof
Abstract: There was a long history for educational strategy and technique in
teaching and learning Islamic education in West Africa. The educational
activities and cultural center in West Africa played a strategic role in
introducing Islamic teaching. On the other hand, they also played a
significant role in establishing great Islamic rulers and in extending the
Islamic world to West Africa. This paper carried out a research on educational
strategy and technique in teaching Islamic education from African teachers’
perception. It was conducted by a survey. The data was collected from
questionnaires that were distributed to 83 teachers as respondents from
Timbuktu and Gene in Mali, Kanem and Bornum in Nigeria. The research finding
showed that five educational techniques and two educational strategies were
effective in teaching and learning Islamic education. In addition, enhancement
technologies through teaching and learning will contribute in two areas (i)
ICT (information and communication technology) may be used as a medium in the
teaching and learning to develop a more creative thinking in the education
process, and (ii) Media is a form of teaching aids that assists teachers in
the teaching, provide them with tools to illustrate some points or processes
as well as to support long distance educational system. The perception of the
teachers in term of educational strategy and technique of teaching and
learning in the classroom and the 7 strategies/ technologies perceived by
African teachers were effective. Therefore, African teachers have improved
their ability to apply more effective strategy and technique in their
teaching. On the part of the students, the importance of the educational
technique and media are to enable them to associate the effective learning.
Keywords: Educational strategy and technique, Teachers’ perception,
Teaching and learning in the classroom, African teachers, Islamic education
Title
of the Paper: The Application of Multicultural Education and Applying ICT
on Pesantren in South Sulawesi, Indonesia
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Authors:
Maimun Aqsha Lubis, Mohamed Amin Embi, Melor Md.Yunus, Ismail Suardi Wekke
Abstract: Multicultural education is one the most popular term used to
describe education for pluralism. On the other hand, one of the best platforms
to bring excellences in education is information and communication technology
(ICT). Through applying ICT in application of multicultural education would
enhance students’ capacity and accelerated pedagogy. This research described
various application and processes in the pesantren that constructed to reduce
discrimination with ICT assistance. In addition, it describes the well planed
curriculum around concepts based on each ethnic from several different groups.
The pesantrens are located in South Sulawesi, Indonesia. The research design
is qualitative approach. Data collected from conducting interview and
observational field data. Furthermore, data elaborated on grounded theories
analysis. This study showed that stakeholders in pesantren work with content
integration and various practices deal with the extent to which teachers use
examples and content from a variety of culture to illustrate key concepts,
principles and theories in their subject area or discipline. Then, teachers
conceptualize multicultural education as content related to various ethnic and
cultural groups. Furthermore, the processes on learning in multicultural
education through applying ICT pointed out that it helped students to archive
the education goal and objective. Finally, ICT extended teaching and learning
processes and knowledgeable of the subject and the same time improved their
capability to gain accelerated education in teaching and learning process.
Keywords: Pesantren, multicultural education, multicultural approach,
ICT and education
Title
of the Paper: Computational Requirement of Schema Matching Algorithms
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Authors:
Peter Martinek, Bela Szikora
Abstract: The integration of different data structures e.g. relational
databases of information systems is a current issue in the area of information
sciences. Numerous solutions aroused recently aiming to achieve a high
accuracy in similarity measurement and integration of schema entities coming
from different schemas. Researches usually properly evaluate the capabilities
of these approaches from the point of view of accuracy. However the
computational complexity of the proposed algorithms is hardly ever examined in
the most of these works. We claim that efficiency of a solution can only be
judged by taking into account both the accuracy and the computational
requirements of participating algorithms. Since there are many known
measurement methods and metrics for the evaluation of accuracy, the focus is
set for the analysis of their computational complexity in this paper. After
the problem formulation the main ideas behind our method are presented.
Various approximation techniques and methods of applied algorithm theory are
used to evaluate the different approaches. Three specific approaches were also
selected to present the work of our method in details on them. Experiments run
on several test inputs are also included.
Keywords: Computational complexity, Schema matching, Approximation
techniques in computational requirement estimation
Title
of the Paper: Social Phenomenon of Community on Online Learning: Digital
Interaction and Collaborative Learning Experience
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Authors:
Karmela Aleksic-Maslac, Masha Magzan, Visnja Juric
Abstract: Digital interaction in e-learning offers great opportunities for
education quality improvement in both - the classical teaching combined with
e-learning, and distance learning. Zagreb School of Economics & Management (ZSEM)
is one of the few higher education institutions in Croatia that systematically
uses e-learning in teaching. Systematically means that all courses are
developed combined with e-learning and all these courses use the same LMS
(Learning Management System). Discussions are very important part of each
e-learning system. The study focuses on the importance of the social
phenomenon of community on online learning. The phenomenon of digital
environments and social experience in education is examined through discussion
boards of two different freshmen courses offered at ZSEM. Effectiveness and
communication dynamics of discussion boards is analyzed through comparison of
students’ participation rates according to the topic, discussion type and
quality of discussion. The goal of the study is to analyze the potential of
online communication tools in creating student-centered digital communities of
inquiry. However, the focus is not on the individual student learning and
achievement outcomes, but on the collaborative learning and student digital
interaction from a pedagogical perspective. Based on social constructivist
principle and the assumption that knowledge creation is a shared, rather than
individual experience, the study examines how and why digital environments
enhance online collaborative learning experience.
Keywords: Discussion boards, e-learning, quality, collaborative
learning, online communities of inquiry, communities of learners, information
and communication technologies, sociology
Issue 9, Volume 6,
September 2009
Title
of the Paper: 3D Spatial Touch System Based on Time-of-Flight Camera
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Authors:
Yang-Keun Ahn, Young-Choong Park, Kwang-Soon Choi, Woo-Chool Park, Hae-Moon
Seo, Kwang-Mo Jung
Abstract: Recently developed Time-of-flight principle based depth-sensing
video camera technologies provide precise per-pixel range data in addition to
color video. Such cameras will find application in robotics and vision-based
human computer interaction scenarios such as games and gesture input systems.
Time-offlight principle range cameras are becoming more and more available.
They promise to make the 3D reconstruction of scenes easier, avoiding the
practical issues resulting from 3D imaging techniques based on triangulation
or disparity estimation. We present a 3D interactive interface system which
uses a depth-sensing camera to touch spatial objects and details on its
implementation. We speculate on how this technology will enable new 3D
interactions. This study implements a virtual touch screen that keeps track of
the location of hand, inputted from the disparity image being outputted by a
time of flight (TOF) camera, using the Kalman filter. Put out from the depth
image of the TOF camera, this image is insensitive to light and therefore
helps implement a virtual touch screen independent from the surroundings. The
biggest problem with conventional virtual touch screens has been that even the
slightest change in location led an object to fall out of or enter the virtual
touch screen. In other words, the pointing location responded too sensitively
to accurately detect the touch point. The Kalman filter, on the other hand,
can be a solution to this problem, as it constantly predicts the pointing
location and detects this touch point, without interruption, in response to
even a slight change in location. This enables a stable and smooth change in
the location of pointing point on the virtual touch screen.
Keywords: Depth Sensor, Virtual Touch Screen, 3D Interaction, Kalman
Filter, Time-of-flight
Title
of the Paper: A Cryptography Index Technology and Method to Measure
Information Disclosure in the DAS Model
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Authors:
Zhao Wei, Zhao Dan-Feng, Gao Feng, Liu Guo-Hua
Abstract: Database-as-a-Service model is a new data management model which
allow user to store their data at database service provider. In DAS model,
data is stored in cryptograph form, so it will spend long time to query data.
In order to improve cryptograph query efficiency, a cryptograph index strategy
adapting to unequal- probability query is presented. Then, definitions of
disclosure coefficient are presented focus on the problem of the information
disclosure in cryptograph indices. Finally, the conclusion is analyzed and
validated by experiments.
Keywords: Database-as-a-Service, Cryptography index, Query probability,
Disclosure coefficient, Encrypted database system, Data cryptography
Title
of the Paper: Language Learning via ICT: Uses, Challenges and Issues
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Authors:
Melor Md Yunus, Maimun Aqsha Lubis, Chua Pei Lin
Abstract: The rapid growth and improvement in Information Communication
Technology (ICT) has lead to the diffusion of technology in education. It is
believed that ICT would bring many advantages to the students if it is use
under the right circumstances. Although ICT offer more advantages and
flexibility, this type of learning environment may not be conducive for all
learners. This paper describes the use of ICT for learning English, the
challenges faced by the students in using ICT for learning English and their
attitude towards the use of ICT in learning English among the urban school
students in Kuala Terengganu, Malaysia. Data was collected via questionnaire
survey of second language students. The results show that students are aware
of the benefits of using ICT in learning language. However, students did not
spend much of their time for the purpose of learning. Students spend only 1- 2
hours per weeks using ICT for learning activities. Most of the students use
ICT for surfing internet to get information and for searching for words
meaning and pronunciation. Students perceived themselves having high positive
attitude towards the use of ICT in learning English. However, there are two
main problems faced by the students which are lack of English proficiency and
lack of training on ICT.
Keywords: Language learning, ICT pedagogy, technology in education,
learning method, ICT in Learning
Title
of the Paper: Vehicle Speed and Volume Measurement using
Vehicle-to-Infrastructure Communication
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Authors:
Quoc Chuyen Doan, Tahar Berradia, Joseph Mouzna
Abstract: Intelligent transport system (ITS) refers to a system that manages
road traffic using information and communications technology. One of the most
important parts of it is the vehicle detection which provides vehicular data
such as volume, density, and speed for traffic management centers. This paper
proposes a vehicle detection method which measures volume and speed using
Vehicle-to-Infrastructure communication and Global Positioning System. It can
be implemented on roadway infrastructure with or without other vehicle
detection techniques such as loop detectors.
Keywords: Loop detector, Traffic data, GPS, Ad-hoc, V2V, V2I
Title
of the Paper: Considering Application Domain Ontologies for Data Mining
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Authors:
Filipe Mota Pinto, Manuel Filipe Santos
Abstract: The dramatically explosion of data and the growing number of
different data sources are exposing researchers to a new challenge - how to
acquire, maintain and share knowledge from large databases in the context of
rapidly applied and evolving research. This paper describes a research of an
ontological approach for leveraging the semantic content of ontologies to
improve knowledge discovery in databases. We analyze how ontologies and
knowledge discovery process may interoperate and present our efforts to bridge
the two fields, knowledge discovery in databases and ontology learning for
successful database usage projects.
Keywords: Ontologies, Knowledge Discovery, Databases, Data Mining
Title
of the Paper: Computer-Assisted Instruction in Teaching Early Childhood
Literature
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Authors:
Chew Fong Peng, Teh Ying Wah, Zahari Ishak
Abstract: This paper focuses on how computer-assisted instruction may help in
teaching early childhood literature. Other than that, it also discusses the
problems of developing and publishing early childhood literature in Malaysia
and the solution. A survey was carried out to find out whether computer aided
instruction is one of the best methods to help teaching early childhood
effectively. A selected Malay folk tale, its exercises and game will be
discussed throughout the paper.
Keywords: Computer-Assisted Instruction, Early Childhood Literature,
Educational Games
Title
of the Paper: A Relook at Logistic Regression Methods for the Initial
Detection of Lung Ailments Using Clinical Data and Chest Radiography
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Authors:
Omar Mohd Rijal, Mohd. Iqbal, Ashari Yunus, Norliza Mohd. Noor
Abstract: The problem of diagnosing patients with lung ailments such as
Tuberculosis (PTB), Pneumonia (PNEU) and Lung Cancer (LC) when making their
initial visit to a medical institution is the focus of this study. Clinical
data involving symptoms and signs are used to make important decisions before
the availability of the results of further tests. In practice, Logistic
Regression Methods are frequently involved in this type of decision making.
However, the problem of missing values when the numerical values of certain
explanatory variables are not available persists in practical situations. In
this paper a logistic regression model using four variables (age, cough, loss
of weight (LOW) and loss of appetite (LOA)) are investigated for each of the
three diseases. The main result of this study is that the probability of
misclassifying the three disease type is large, and that good model fitting
does not guarantee correct diagnosis. As a viable substitute, a graphical
method of detection with an 85% chance of correct classification based on
information extracted from the chest radiograph images is proposed.
Keywords: Statistical detection, error probability, lung disease,
clinical data, chest radiography, missing values
Title
of the Paper: Nonce-Aware Encryption
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Authors:
Ming-Luen Wu
Abstract: As an alternative perspective on designing IND-CCA2 encryption, we
introduce a new security notion, nonce-awareness, for encryption. An
encryption scheme is nonce-aware if it is computationally infeasible to
produce a valid ciphertext without knowing the associated nonce. We also show
that two remarkable IND-CCA2 encryption schemes are nonce-aware.
Keywords: Encryption, Security, Nonce-awareness, Indistinguishability,
Chosen-ciphertext attack
Title
of the Paper: A Web Mining System
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Authors:
Jose Aguilar
Abstract: The Web Mining arises like an appropriate tool to exploit the
derived knowledge of the web-user interaction, describing models that use
patterns and characterize the profiles of the different groups of users which
use Internet. To achieve this, currently there are numerous techniques. Some
of these techniques are integrated in this work to build a Hybrid System of
Web Mining that allows extracting useful information of the web users.
Specifically, three techniques of the area of Web Mining were used: Sequential
Patterns, Path Analysis and Cubes. The System obtains a group of access
patterns from the users to a website, to arrange them in a multidimensional
structure, called Cube. Using that, the system can discover correlations
between the web pages and users' groups, behaviors of the web users, among
other things.
Keywords: Web Mining, Sequential Patterns, Path Analysis, Cubes,
Pattern Recognition, Data Mining
Title
of the Paper: Developing a Question Answering System for the Slovene
Language
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Authors:
Ines Ceh, Milan Ojstersek
Abstract: In today’s world the majority of information is sought after on the
internet. A common method is the use of search engines. However since the
result of a query to the search engine is a ranked list of results, this is
not the final step. It is up to the user to review the results and determine
which of the results provides the information needed. Often this process is
time consuming and does not provide the sought after information. Besides the
number of returned results the limiting factor is often the lack of ability of
the users to form the correct query. The solution for this can be found in the
form of question answering systems, where the user proposes a question in the
natural language, similarly as talking to another person. The answer is the
exact answer instead of a list of possible results. This paper presents the
design of a question answering system in natural slovene language. The system
searches for the answers for our target domain (Faculty of Electrical
Engineering and Computer Science) with the use of a local database, databases
of the faculty’s information system, MS Excel files and through web service
calls. We have developed two separate applications: one for users and the
other for the administrators of the system. With the help of the latter
application the administrators supervise the functioning and use of entire
system. The former application is actually the system that answers the
questions.
Keywords: Question answering, Slovenian language, morphological
dictionary of Slovenian language, Question Classification, machine learning,
question templates, personalization
Title
of the Paper: Local Search Engine with Global Content based on Domain
Specific Knowledge
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Authors:
Sandi Pohorec, Mateja Verlic, Milan Zorman
Abstract: In the growing need for information we have come to rely on search
engines. The use of large scale search engines, such as Google, is as common
as surfing the World Wide Web. We are impressed with the capabilities of these
search engines but still there is a need for improvment. A common problem with
searching is the ambiguity of words. Their meaning often depends on the
context in which they are used or varies across specific domains. To resolve
this we propose a domain specific search engine that is globally oriented. We
intend to provide content classification according to the target domain
concepts, access to privileged information, personalization and custom ranking
functions. Domain specific concepts have been formalized in the form of
ontology. The paper describes our approach to a centralized search service for
domain specific content. The approach uses automated indexing for various
content sources that can be found in the form of a relational database, web
service, web portal or page, various document formats and other structured or
unstructured data. The gathered data is tagged with various approaches and
classified against the domain classification. The indexed data is accessible
through a highly optimized and personalized search service.
Keywords: Information search, personalization, indexes, crawling,
domain specific crawling, natural language processing, content tagging,
distributed data sources, ranking functions
Title
of the Paper: A Correctness Criterion for Schema Dominance Centred on the
Notion of ‘Information Carrying’ between Random Events
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Authors:
Junkang Feng, Kaibo Xu
Abstract: In systems development and integration, whether the instances of a
data schema may be recovered from those of another is a question that may be
seen profound. This is because if this is the case, one system is dominated
and therefore can be replaced by another without losing the capacity of the
systems in providing information, which constitutes a correctness criterion
for schema dominance. And yet, this problem does not seem to have been well
investigated. In this paper we shed some light on it. In the literature, works
that are closest to this problem are based upon the notion of ‘relevant
information capacity’, which is concerned with whether one schema may replace
another without losing the capacity of the system in storing the same data
instances. We observe that the rational of such an approach is over intuitive
(even though the techniques involved are sophisticated) and we reveal that it
is the phenomenon that one or more instances of a schema can tell us truly
what an instance of another schema is that underpins a convincing answer to
this question. This is a matter of one thing carrying information about
another. Conventional information theoretic approaches are based upon the
notion of entropy and the preservation of it. We observe that schema instance
recovery requires looking at much more detailed levels of informational
relationships than that, namely random events and particulars of random
events.
Keywords: Database design, Schema dominance, Schema transformation,
System integration, Information content, Information capacity
Title
of the Paper: Searching Minimal Fractional Graph Factors by Lattice Based
Evolution
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Authors:
Xiyu Liu, Yinghong Ma, Yangyang Zheng
Abstract: Spanning subgraphs is necessary for the communication in networks.
Apart from theoretical existence results, effective technique of searching
graph factors is an important problem in graph theory, complex networks, and
applications which is NP hard. In this paper, we first propose a lattice based
evolution technique. Then we present an evolutionary searching paradigm for
the minimum fractal graph factors. A simple Markov analysis of the proposed
genetic algorithm is given together with some experiments on the effects of
parameters to the performance of the algorithms.
Keywords: Niche, evolution, lattice, minimum factors, graph
Title
of the Paper: Using a Combined PLS Path and MCDM Approach in Determining
the Effectiveness of Taiwan's Outward FDI Policy
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Authors:
Yi-Hui Chiang, Chih-Young
Abstract: Various studies have looked at outward foreign direct investment (FDI)
from the host country perspective but have paid little attention to parent
country determinants. Does the outward FDI policy (investment upper limit
regulation) matter? In this paper, we propose a combined partial least squares
(PLS) path model and multiple criteria decision-making (MCDM) approach to
study Taiwan’s outward FDI to China. The main purpose of this study is to
investigate the determinants of Taiwanese firms’ decisions in making FDI into
China. Using data from Taiwanese optoelectronics firms doing business in
Taiwan between 1998 and 2007), the results of the proposed model show that the
outward FDI policy of the parent country is a key factor in Taiwan’s outward
FDI into China. It is also found that the macroeconomic environment of the
host country was a stronger determinant than the parent country on Taiwan’s
outward FDI into China.
Keywords: Foreign direct investment (FDI), partial least squares (PLS),
multiple criteria decision-making (MCDM), Parent country, upper limit
regulation
Title
of the Paper: The Factors Influencing Individual's Behavior on Privacy
Protection
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Authors:
Sheng-Fei Hsu, Dong-Her Shih
Abstract: Individual’s behavior on privacy protecting is affected by not only
the personal psychological factors, but also the external influences. However,
the latter was always ignored in previous researches. For investigating how
the external as well as internal factors simultaneously affected one’s privacy
concern on privacy protection and restrained related behavior, this study
applied perceived behavior control to modifying previous privacy model. In
addition, a hypothesized model proposed to interpret how the related factors
influenced individual’s behavior on privacy protection. The result of this
study also indicated the significant relationships between personal privacy
perception and perceived behavioral control.
Keywords: Privacy concern, Perceived privacy, Trust, Perceived
behavioral control, Behavior on privacy-protecting, Theory of planned behavior
Title
of the Paper: Towards an Understanding of the Behavioral Intention to Use
Mobile Knowledge Management
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Authors:
Jeung-Tai E. Tang, Chihui Chiang
Abstract: The knowledge management can quickly acquired important knowledge
way by using mobile equipments via wireless network. Many knowledge management
activities occur in working places and in our daily activities. Mobility may
be increased self belief and work efficiency by convenience knowledge
management in the mobile environments. The recent years study showed that
perceived ease of use and perceived usefulness constructs of Technology
Acceptance Model have been considered important in determining the
individuals’ acceptance and use of IT. In this study, we will introduce the
convenience and the self-efficacy as new factors that reflect the
characteristic of the mobile knowledge management. This paper addresses why
users want be used mobile knowledge management and how user's adoption is
affected by the convenience and the self-efficacy. The results showed that the
research model fully mediated the usage behavior intentions even in the mobile
knowledge management through the wireless network environment.
Keywords: Mobile knowledge management, Technology acceptance model,
Convenience, Self-efficacy
Issue 10, Volume 6,
October 2009
Title
of the Paper: Geometry Modeling for Cotton Leaf Based on NURBS
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Authors:
Zhao Ming, Yang Juan, Zhang Xiaoshuan
Abstract: Digitalization of agriculture bring controllable industrial
production and computer-aided design ideas into agriculture, NURBS curves and
surfaces is described freedom of widely popular technology, CAD systems are
widely used. Method can be easily applied to generate curves, surfaces with
NURBS. In this paper, we have developed model of cotton organs using NURBS
surface, present a introduction of Topological Structures on virtual plant
from our personal perspective and simulated a 3-D growing of cotton with
OpenGL and VC++ 6.0.briefly introduce method of simulating cotton organ based
on NURBS and from our personal perspective present a introduction of
Topological Structures on virtual plant. Based on VC++6.0 and OpenGL, methods
of establishing models of main cotton organ using techniques of computer
graphics are presented and realistic results have been achieved. Burls of stem
and fruit branches are simulated by octahedronlike prism. Other organs are
built based on NURBS. These organs are: bell?caulis leaf?fruit branch
leaf?Petal?bract. Using NURBS we don’t need to obtain an abundance of accurate
data and bother with regression equation by contrast with three-dimensional
digital. Topological Structures of cotton is represented by C++ class: stem
class and fruit branch class.
Keywords: NURBS, OpenGL, C++, Cotton, Topological structures
Title
of the Paper: Adaptive Categorization in Complex Systems
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Authors:
Seyed Shahrestani
Abstract: A fast and reliable method for categorization of patterns that may
be encountered in complex systems is described. Most pattern recognition and
classification approaches are founded on discovering the connections and
similarities between the members of each class. In this work, a different view
of classification is presented. The classification is based on identification
of distinctive features of patterns. It will be shown that the members of
different classes have different values for some or all of such features. The
paper will also show that by making use of the distinctive features and their
corresponding values, classification of all patterns, even for complex
systems, can be accomplished. The classification process does not rely on any
heuristic rules. In this process, patterns are grouped together in such a way
that their distinctive features can be explored. Such features are then used
for identification purposes.
Keywords: Adaptive recognition, Categorization and classification,
Distinctive Features, Complex Systems, Feature Extraction, Negative
Recognition
Title
of the Paper: OptimalSQM: Integrated and Optimized Software Quality
Management
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Authors:
Ljubomir Lazic, Nikos E. Mastorakis
Abstract: Software testing provides a means to reduce errors, cut maintenance
and overall software costs. Early in the history of software development,
testing was confined to testing the finished code, but, testing is more of a
quality control mechanism. However, as the practice of software development
has evolved, there has been increasing interest in expanding the role of
testing upwards in the SDLC stages, embedding testing throughout the systems
development process. Numerous software development and testing methodologies,
tools, and techniques have emerged over the last few decades promising to
enhance software quality. While it can be argued that there has been some
improvement it is apparent that many of the techniques and tools are isolated
to a specific lifecycle phase or functional area. This paper presents a set of
best practice models and techniques integrated in optimized and quantitatively
managed software testing process (OptimalSQM), expanding testing throughout
the SDLC. Further, we explained how can Quantitative Defect Management (QDM)
Model be enhanced to be practically useful for determining which activities
need to be addressed to improve the degree of early and cost-effective
software fault detection with assured confidence, then optimality and
stability criteria of very complex STP dynamics problem control is proposed.
Keywords: Software Testing, Quality, Testing optimization, Cost of
Quality, Testing stability criteria
Title
of the Paper: Spatial Information on Site-Specific Seismic Response at
Hongseong Damaged by 1978 Earthquake in Korea
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Authors:
Chang-Guk Sun
Abstract: Site characterization on geologic and soil conditions was performed
for evaluating the site effects relating to the site-specific seismic response
characteristics at a small urbanized area, Hongseong, in Korea, where
structural damages were recorded by an earthquake of magnitude 5.0 on October
7, 1978. In the field, various geotechnical site investigations composed of
borehole drillings and seismic tests for determining shear wave velocity (VS)
profile were carried out at 16 sites. Based on the geotechnical data from site
investigation and additional collection in and near Hongseong, an expert
information system on geotechnical information was implemented with the
spatial framework of GIS for regional geotechnical characterization across the
entire study area. For practical application of the GIS-based geotechnical
information system to estimate the site effects causing seismic hazards for
the Hongseong area, spatial seismic zoning maps on geotechnical parameters,
such as the bedrock depth and the site period, were created at the area of
interest. Furthermore, seismic zonation of site classification according to
the mean VS to a depth of 30 m from ground surface was also performed for
seismic design at any location in the area of interest. From the spatial
geotechnical information and seismic zonations, the capability of seismic
amplification was examined at plain and hill locations in Hongseong.
Keywords: Site effects, Geotechnical information, Seismic zonation,
Site period, Geographic information system
Title
of the Paper: Toward a New Paradigm: Mashup Patterns in Web 2.0
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Authors:
Cheng-Jung Lee, Shung-Ming Tang, Chang-Chun Tsai, Ching-Chiang Chen
Abstract: The advent of Web 2.0 changes the playing field drastically and
opens a new era of platform opportunities. By opening the platform and making
it remix, Google Maps changed the rules. Now, the rest of the industry is
struggling to catch the world of web Mashups and Google’s momentum. However,
what about the conceptual heart of other popular Mashups? We focus on looking
for patterns in successful Web 2.0 Mashups. We systemizes concepts from Top 60
popular Mashups on ProgrammableWeb— and aim to present seven collection of
Mashup Patterns: Data source Mashups, Process Mashups, Consumer Mashups,
Enterprise Mashups, Client-Side Mashup, Server-Side Mashups and Developer
assembly Mashups which build platforms to foster innovation in assembly, where
remixing of data and services create new opportunities and markets. In this
paper we highlight latest Mashup trends, exploration of the design principles
of Mashups architecture, evaluation the most popular Mashups technology for
the enterprise level, seven options patterns that exist for implementation,
and capture the fundamental behavioral aspects of Mashups. What we present in
this paper can be generalized for other Mashups.
Keywords: Mashup, Web 2.0, Pattern, paradigm, Google Maps, API
Title
of the Paper: Recommendation Method that Considers the Context of Product
Purchases
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Authors:
Tsuyoshi Takayama, Tetsuo Ikeda, Hiroshi Oguma, Ryosuke Miura, Yoshitoshi
Murata, Nobuyoshi Sato
Abstract: We propose herein a technique for product recommendation in
E-commerce by considering the context of product purchases, and verify the
effectiveness of the technique through an evaluation experiment. Researchers
have been aggressively studying techniques that can be used by stores to
recommend to customers products that have relatively high purchase potential.
Collaborative filtering is representative of conventional techniques. However,
the collaborative filtering technique is based on the hypothesis that similar
customers purchase similar products, and the context of product purchases is
not considered in full. In the present study, a context matrix by which to
manage the context history of product purchases is proposed. Collaborative
filtering cannot distinguish the following two facts that `Product B was
purchased after Product A’ and `Product A was purchased after Product B’. The
context matrix, however, enables such information to be expressed and managed
separately. We also propose four types of context matrix update methods which
differs in subset selection on purchase history and user selection on
obtaining purchase history.
Keywords: Recommendation, database, data mining, and E-commerce
Title
of the Paper: A Case Study on Usability Metrics Applied in Romanian
E-Commerce Environment
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Authors:
Dan-Andrei Sitar-Taut, Liana-Maria Stanca, Robert Buchmann, Ramona
Lacurezeanu
Abstract: This paper extends the previous research regarding the Romanian
electronic market as context for the launching a business opportunity in this
domain. Here we will present a study on the indigenous e-commerce websites in
general and their usability in particular. Nowadays, an impressive number of
virtual businesses were open despite the crisis, since others closed their
doors due to the same reason. Thus, before starting a new business, it is
strongly recommended to make a deeper analysis of the environment and
potential competitors, especially in the Web 2.0 context. Web 2.0 provides a
winning edge over e-markets that lack social connectivity and high usability
features. Usability cannot be quantified easily. Despite this fact, this paper
will propose a usability evaluation methodology that will be tested in the
local virtual space. For a visitor, usability is more related to a feeling
than a figure, and the designer must power the website with it. We have also
tackled a main branch of the electronic marketing, entitled SEO (Search
Engineering Optimization). In order to promote our business and to put/keep it
in the top of the search result list, a continuous optimization of the dynamic
web site is required. We asses that usability and SEO must be both considered
for the success of an electronic business. For our purposes, a statistical
study was applied, using a battery of tests including the Kolmogorov-Smirnov,
Spearman, and Kruskal-Wallis ones. Also, some data mining tools will be used
to confirm or infirm the statistical assertions.
Keywords: Usability, SEO, search engines, data mining, Kolmogorov–Smirnov,
Spearman, Kruskal-Wallis
Title
of the Paper: Virtual Deformation of Soft Tissue using Bulk Variables
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Authors:
K. Sundaraj
Abstract: We present an alternative online simulation model for human tissue.
Online simulation of human tissue deformation during surgical training or
surgical assistance is becoming increasingly important within the medical
community. Unfortunately, even classical simulation models find human tissue
to be computationally too costly for online simulation. In this paper, we
simplify the complex biomechanical nature of human tissue within reasonable
limits to develop a mathematical model which can be used for online
simulation. This simplification is based on two principles; volume
conservation and Pascal’s Principle. Volume conservation is inherent to many
organs in the human body due to the high concentration of blood (almost
incompressible liquid) in them. Given an externally applied force, we use
Pascal’s Principle to obtain the global deformation vector at each time-step
during simulation.
Keywords: Virtual Reality, Soft Tissue Simulation, Surgical Simulators
Title
of the Paper: Knowledge Induction from Medical Databases with Higher-Order
Programming
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Authors:
Nittaya Kerdprasop, Kittisak Kerdprasop
Abstract: Medical data mining is an emerging area of computational
intelligence applied to automatically analyze patients’ records aiming at the
discovery of new knowledge potentially useful for medical decision making.
Induced knowledge is anticipated not only to increase accurate diagnosis and
successful disease treatment, but also to enhance safety by reducing
medication-related errors. Modern healthcare organizations regularly generate
huge amount of electronic data that could be used as a valuable resource for
knowledge induction to support decision-making of medical practitioners.
Unfortunately, a domain-specific decision support system that provides a suite
of customized and flexible tools to efficiently induce knowledge from medical
databases with representational heterogeneity does not currently exist. We,
thus, design and develop a medical decision support system based on a powerful
logic programming framework. The proposed system includes a knowledge
induction component to induce knowledge from clinical data repositories and
the induced knowledge can also be deployed to pre-treatment data from other
sources. The implementation of knowledge induction engine has been presented
to express the power of higher-order programming of logic-based language. The
flexibility of our mining engine is obtained through the pattern matching and
meta-programming facilities provided by logic-based language.
Keywords: Medical decision making, Medical informatics, Logic-based
knowledge induction, Higher-order programming
Title
of the Paper: Contaminants Analysis in Aircraft Engine Oil and its
Interpretation for the Overhaul of the Engine
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Authors:
B. Leal, J. Ordieres, S. F. Capuz-Rizo, P. Cifuentes
Abstract: In this work, the authors will try to determine, by means of
techniques based on Artificial Intelligence, the actual possibilities of using
spectrometric analysis, done periodically to the engine oil, as predictors of
the condition of the engine. Some similar works have led to a simple linear
regression model, but in the particular case of this work it is intended to
evaluate if the specific environmental conditions of the region and the low
use of aircrafts allow discussing the convenience of making use of the same
criterion or elaborating some specific variant.
Keywords: Oils contaminants, wearing models, artificial intelligence
techniques
Issue 11, Volume 6,
November 2009
Title
of the Paper: Remote Updating Procedures for Mobile Point of Sale Terminals
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Authors:
Ales Zelenik, Zdenko Mezgec
Abstract: The following article presents an efficient remote updating system
that supports software updating through different communication channels. The
emphasis is on the robustness of transmission, data size optimizations, quick
remote firmware replacing, etc. Besides GPRS and IP based communication, there
is also explained a unique way of updating procedure with transmitting the
data over speech channel of a mobile phone – DOV. All parts of updating system
are thoroughly explained.
Keywords: Remote update, speech channel, Data over Voice – DOV, GSM,
mobile POS terminals
Title
of the Paper: Improved Mining of Software Complexity Data on Evolutionary
Filtered Training Sets
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Authors:
Vili Podgorelec
Abstract: With the evolution of information technology and software systems,
software reliability has become one of the most important topics of software
engineering. As the dependency of society on software systems increase, so
increases also the importance of efficient software fault prediction. In this
paper we present a new approach to improving the classification of faulty
software modules. The proposed approach is based on filtering training sets
with the introduction of data outliers identification and removal method. The
method uses an ensemble of evolutionary induced decision trees to identify the
outliers. We argue that a classifier trained by a filtered dataset captures a
more general knowledge model and should therefore perform better also on
unseen cases. The proposed method is applied on a real-world software
reliability analysis dataset and the obtained results are discussed.
Keywords: Data mining, classification, evolutionary decision trees,
filtering training sets, software fault prediction, search-based software
engineering
Title
of the Paper: Electrical Energy Consumption Forecasting in Oil Refining
Industry Using Support Vector Machines and Particle Swarm Optimization
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Authors:
Milena R. Petkovic, Milan R. Rapaic, Boris B. Jakovljevic
Abstract: In this paper, Support Vector Machines (SVMs) are applied in
predicting electrical energy consumption in the atmospheric distillation of
oil refining at a particular oil refinery. During cross-validation process of
the SVM training Particle Swarm Optimization (PSO) algorithm was utilized in
selection of free SVM kernel parameters. Incorporation of PSO into SVM
training process has greatly enhanced the quality of prediction. Furthermore,
various (different) kernel functions were used and optimized in the process of
forming the SVM models.
Keywords: Support Vector Machines (SVM), Kernel Functions, Particle
Swarm Optimization (PSO), Electrical Energy Prediction, Oil Refining
Title
of the Paper: Method of Event Location Identification Using GPS and Camera
Function of Mobile Phones
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Authors:
Kento Hirano, Yusuke In, Mayuko Kitazume , Masakazu Higuchi, Syuji
Kawasaki, Hitomi Murakami
Abstract: In recent years, network applications with location-awareness have
been attracting a lot of attention as a technical element for ubiquitous
computing. Among such applications, those for environmental issues especially
requires, for the sake of immediate detection and providing solutions, a high
precision of auto-detected location information of relevant places. In order
to realize the precision, technical challenges will be evaluation of the
precision of GPS information and how to improve it. So far, these issues have
rarely been studied, however. In this paper, we consider especially mobile
applications on mobile phones, first to evaluate the precision of GPS
information on mobile phones, and second to study how to improve the
precision. According to these results, we discuss the possibility of applying
location information on mobile phones to the environmental issues and future
technical problems.
Keywords: GPS, Mobile Phone, Pattern matching, Correlation Coefficient
Title
of the Paper: Applications of Genetic Algorithms
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Authors:
Marius-Constantin Popescu, Liliana Popescu, Nikos Mastorakis
Abstract: In this paper were presented the main directions of genetic
algorithms. There is a large class of interesting problems that have not yet
been developed fast algorithms. Many of these problems are problems which
occur frequently optimized in applications. Genetic algorithms are part of
Heuristic algorithms, applying them successfully if problems do not admit
polynomial-time algorithms. Genetic algorithms, as the name suggests, are
inspired from nature, specifically of the way through genetic recombination
improves a species.
Keywords: Genetic operators, Genetic programming, Objective function
Title
of the Paper: An RFID and Multi-agent Based System for Improving Efficiency
in Patient Identification and Monitoring
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Authors:
Cristina Turcu, Tudor Cerlinca, Cornel Turcu, Marius Cerlinca, Remus Prodan
Abstract: Hospital today are under increasing pressure to increase the quality
and efficiency of patient identification and monitoring procedures. Most
patient health records are stored in separate systems and there are still huge
paper trails of records that health-care providers must keep to comply with
different regulations. This paper proposes an RFID-based system (named SIMOPAC)
that integrates RFID and multi-agent technologies in health care in order to
make patient emergency care as efficient and risk-free as possible, by
providing doctors with as much information about a patient as quickly as
possible. Every hospital could use SIMOPAC with their existing system in order
to promote patient safety and optimize hospital workflow. In this paper we
will concentrate on the RFID technology and how it could be used in emergency
care in order to identify patients and to achieve real time information
concerning the patients’ biometric data, which might be used in different
points of the health system (laboratory, family physician, etc.). We describe
a general purpose architecture and data model that is designed for collecting
ambulatory data from various existing devices and systems, as well as for
storing and presenting clinically significant information to the emergency
care physician.
Keywords: E-health, electronic medical records, RFID, emergency care,
embedded system
Title
of the Paper: A Simultaneous Application of Combinatorial Testing and
Virtualization as a Method for Software Testing
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Authors:
Ljubomir Lazic, Snezana Popovic, Nikos E. Mastorakis
Abstract: We propose in this paper a general framework for an integrated
End-to-End Testing of IT Architecture and Applications using the simultaneous
application of combinatorial testing and virtualization. Combinatorial testing
methods are often applied in cases of the configuration testing. The
combinatorial approach to software testing uses models, particularly an
Orthogonal Array Testing Strategy (OATS) is proposed as a systematic,
statistical way of testing pair-wise interactions to generate a minimal number
of test inputs so that selected combinations of input values are covered.
Virtualization, in the process of testing, is based on setting the necessary
environment to multiple virtual machines, which run on one or in smaller
groups of physical computers, which are: reduce the cost of equipment and
related resources, reduce the time required to manage the testing process, and
favors raising removal of test infrastructure. Together, combinatorial testing
and virtualization presents practical approach to improving process of
testing, through the balancing quality, cost and time.
Keywords: Software Testing, Virtual Machines, Environment
Virtualization, Combinatorial testing
Title
of the Paper: Bank Interest Margins under Information Asymmetry and
Centralized vs. Decentralized Loan Rate Decisions: A Two-Stage Option Pricing
Model
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Authors:
Jyh-Horng Lin, Jyh-Jiuan Lin, Rosemary Jou
Abstract: The behavior of outside portfolio managers of large money-center
banks as analyzed to date is silent. In a centralized loan portfolio
construction with decentralized loan portfolio management, changes in the
bank’s degree of capital market imperfection have direct effects on the bank’s
interest margin through the centralized as well as the decentralized loan rate
determinations. We use a two-stage model of option-based analysis to study how
information asymmetry and optimal bank loan rates relate to one another. We
find that the decentralized loan rate managed by the outside loan manager is
positively related to the bank’s degree of capital market imperfection. The
centralized loan rate managed by the bank is positively related to its degree
of capital market imperfection under strategic complements, but negatively
under strategic substitutes.
Keywords: Centralized vs. decentralized loan rate; Information
asymmetry; Black-Scholes formula
Title
of the Paper: Artifacts Recovery and Understanding Using High Level Models
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Authors:
Nadim Asif, Faisal Shahzad, Najia Saher, Rafaquet Kazami, Waseem Nazar
Abstract: The systems are required to understand and present at higher levels
of abstractions to perform changes or re-engineer to meet the current
requirements. The software systems drift away from the existing implemented
source code and the documentations due to the changes. The high level models
are used for the purpose of recovering the artifacts and understanding the
system to perform the maintenance activities. This paper presents an approach
to develop the high level models from the existing source code and documents.
Keywords: Design Recovery, Re-Engineering, Reverse Engineering, ,
Program Understanding, Software Maintenance
Title
of the Paper: Fuzzy Covering and Partitioning Problems Based on the Expert
Valuations: Application in Optimal Choice of Candidates
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Authors:
Gia Sirbiladze, Bezhan Ghvaberidze, Anna Sikharulidze, Bidzina Matsaberidze,
David Devadze
Abstract: A new approach in the discrete optimization (partitioning and
covering) problems is presented based on the expert knowledge presentations.
An a priori uncertain information on the alternatives is given by some
probability distribution and an a priori certain information on the knowledge
competitions is given by some weights. A new criterion is introduced for a
minimal fuzzy covering or partitioning problem which is a minimal value of
average misbelief in possible alternatives. A bicriterial problem is obtained
using the new criterion and the criterion of minimization of average price of
the covering or partitioning. The proposed approach is illustrated by an
example for the partitioning problem.
Keywords: Minimal fuzzy covering or partitioning, Minimal compatibility
level, Positive and negative discrimination measures, Average misbelief
criterion, Bicriterial problem
Issue 12, Volume 6,
December 2009
Title
of the Paper: Relationship between Muscle Activities and Different Movement
Patterns on an Unstable Platform using Data Mining
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Authors:
Jung-Ja Kim, Yong-Jun Piao, Ah Reum Lee, Tae-Kyu Kwon, Yonggwan Won
Abstract: Association rule mining is widely used in the market-basket
analysis. The association rule discovery can mine the rules that include more
beneficial information by reflecting item importance for special products.
Association rule mining could be a promising approach for clinical decision
support system by discovering meaningful hidden rules and patterns from large
volume of data obtained from the problem domain. The objective of this study
was to analyze the muscle activities of different movement patterns on a
training system for posture control using an unstable platform through
association rule mining methodology. In this research, in order to find
relational rules between posture training type and muscle activation pattern,
we investigated an application of the association rule mining to the
biomechanical data obtained mainly for evaluation of postural control ability.
To investigate the relationship of the different movement patterns and muscle
activities, fifteen healthy young subjects took part in a series of postural
control training using a training system that we developed. The
electromyography of the muscles in the lower limbs were recorded and analyzed
under the different movement patterns. An improved association rule mining
methodology was applied to analyze the relationship of the movement patterns
and muscle activities. The results showed the significant differences in
muscle activities for the different movement patterns. The experimental
results suggested that, through the choice of different movement pattern, the
training for lower extremity strength could be performed on specific muscles
in different intensity. And, the ability of postural control could be improved
by the training for lower extremity strength. Through the analysis results, we
tried to find the best training method to improve the ability of postural
control through improving the lower extremity muscular strength. The
discovered rules could be used as a more useful knowledge for the
rehabilitation and clinical expert's.
Keywords: Muscle activity, Association rule mining, Unstable platform,
Postural control, Training
Title
of the Paper: Optimal Bank Interest Margin and Shareholder Interest
Conflicts under CEO Overconfidence: A Constrained Option-Pricing Model
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Authors:
Jyh-Horng Lin, Peirchyi Lii, Rosemary Jou
Abstract: Less is known about how equity returns allocated between current and
new shareholders are altered to react to chief executive officer (CEO)
overconfidence. This paper uses a nonlinear constrained contingent claim
methodology of Black and Scholes (1973) and Merton (1974) to explore interest
conflicts between current and new shareholders when an overconfident bank CEO
overestimates returns on investment projects, and sequentially raises too much
in external funds when internal resources become scarce. We show that low
levels of bank interest margins or equity returns, which decrease the claims
of current shareholders, are associated with investment distortions; but high
levels of bank equity returns, which dilute the claims of current
shareholders, are associated with external financing distortion.
Keywords: CEO Overconfidence, Bank Margin, Call Pricing
Title
of the Paper: An Improvement Framework for E-learning Processing Method
Development at Centralized Organization Education
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Authors:
Ching-Chiang Chen, Dong-Her Shih, Hsiu-Sen Chiang, Cheng-Jung Lee
Abstract: In the past decade, E-learning has played an increasingly important
role in modern education, Distance learning and E-learning are getting more
attention, not only from enterprise organizations, but also from Seal and
organizations such as the military. Thus, in the troops which is a Seal and
centralization organization, the traditional education training should be
changed and catch up the modern training method. This paper based on Web
Service, that is by World Wide Web Consortium (W3C) Design and designated
which is used for promoting and stepping the communication among the
platforms. In addition, we using the TAM model with Perceived Usefulness and
Ease of use and the user believed that the IT will strengthen his task
performance in the degree. Based on the exploratory study in this research, we
use interview and survey methods to collect data and analysis the research
field explore viewpoint. The purpose of this study is three-fold. First, it
heeds the call for theoretically-based empirical research on the TTPi. Second,
it, examines the C Troop choice and usage perspectives in combination in an
attempt to find their individual and combined effects on E-learning choice and
usage. Finally, it attempts to synthesize research in this area by developing
a model showing how TTPi influences troops. The results of this study lead us
to develop some propositions and develop a Troop Training Process improvement
(TTPi) model with some better strategies for such training. We hope this study
can enhance troop training achievements and enhancing training efficiency.
Keywords: E-learning, centralization organization, training efficiency,
web-base, education training
Title
of the Paper: Multi-Dimensional Evaluation Model of Quality of Life in
Campus
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Authors:
Daniel S. Rodrigues, Rui A. R. Ramos, Jose F. G. Mendes
Abstract: The quality of teaching and research activities in Universities are
somehow related to the quality of the spaces where they take place, either
when considering the buildings’ facilities, or when taking into account the
campus landscape. Some authors have concluded that the students' perception of
their overall academic experience and the campus environment is related to
academic accomplishment and success. Furthermore, keeping and increasing the
quality of life in public spaces are also recognised as critical aspects
concerning the urban sustainable development perspective. In that context, and
when analysing characteristics, form, dimension and organisation of university
campi, it can be concluded that they can be seen as urban spaces. Also, this
fact is often enhanced due to their location: in urban areas or even merged in
the city. In this context, based on concepts for urban spaces, a
multi-dimensional evaluation model of the quality of life in campus is
presented in this paper. Its main purpose is to provide conceptual bases for
the implementation of a decision support system that evaluates the global
index of the Quality of Life in the Campus (QlC). The process integrates
users’ perception and provides the ability to assess the impact of future
interventions on the campus quality of life using scenarios. Those scenarios
will express the changes in QlC through subsequent indicators values and
global index update. The assessment of the QlC variation that would result
from the scenario execution will serve as a decision support tool for campus
management when studying several possibilities. The case study presented
explores and shows the web based information system for monitoring the QlC of
the Gualtar Campus of the University of Minho, located in Braga, Portugal.
Basically, the model aims at determining a QlC variation and by comparing
different moments in time. The system embodies two main functions related to
its sustainable development process: (i) to inform the community, allowing any
user to know which are the considered indicators and their actual values, and
how the QlC has evolved; (ii) to serve as a decision support tool, mainly in
facilities planning and management, allowing to compare the impact of several
scenarios on several quality of life dimensions, through an evaluation that
integrates the users’ perception.
Keywords: Quality of Life, Decision Support System, University Campus,
Public Participation
Title
of the Paper: An Application of Fuzzy-Evolutive Integral to Improve the
Performances of Multispectral ATR Systems
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Authors:
Constantin-Iulian Vizitiu, Florin Serban, Teofil Oroian, Cristian Molder,
Mihai Stanciu
Abstract: According to the literature assigned to automatic target recognition
(ATR) system theory, one of the most important methods to improve the
performances of these is to use multispectral information provided by a
suitable set of sensors, and certainly, proper information fusion techniques.
In this paper authors propose an application using an improved evolutive
version of Sugeno’s fuzzy integral to increase the target recognition
performances based on high-resolution radar (HRR) and video imaginary. In
order to confirm the broached theoretical aspects, a real input database was
used.
Keywords: ATR systems, HRR/video imaginary, decision fusion, neural
networks
Title
of the Paper: The 19th Century Official Paris Salon Exhibition Digital
Museum
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Authors:
Tingsheng Weng
Abstract: This paper selects the paintings of the 19th Century Official Paris
Salon Exhibition collection, housed in the Chi Mei Museum of Taiwan, as the
subjects for photographing, scanning, text description, database design, and
software programming in order to establish a digital archive of these precious
paintings. This research applies the latest information technology to
integrate digital archives, and systematically divide their contents into
eight major sections, then upload them to the Internet to complete the entire
project. Regarding education in particular, on-line learning, tests on
paintings, and functional mechanisms of painting are provided for teachers,
students, and the public to choose selected courses according to their
personal interests, and experience the global-reach of on-line knowledge. By
integrating digital archives, a digital museum, and digital learning, this
research hopes to effectively utilize resources, enhance educational
promotions, further the industry of cultural creativity, realize the goal of
true international art, and offer some of Taiwan’s cultural resources to the
art lovers of the global village. The digitalization of this art collection is
beneficial to the Chi Mei Museum in terms of exhibition, publication,
collection, teaching, and research, however, the benefits reach far beyond
national borders, as people round the world are able to appreciate such
cultural assets. In the future, image authorization services may be provided
to a digital content industry, as raw digital materials can enhance the
concept of value-added, inspire innovations for the promotion of education,
and facilitate the development of a knowledge economy.
Keywords: Salon, e-books, e-Learning, On-line painting games, Testing,
Digital Archives, Digital Museum
Title
of the Paper: A Kind of Generalized Fuzzy C-Means Clustering Model and its
Applications in Mining Steel Strip Flatness Signal
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Authors:
Tang Cheng-Long, Wang Shi-Gang, Xu Wei
Abstract: In this paper, the intelligent techniques are utilized to enhance
the quality control precision in the steel strip cold rolling production.
Firstly, a new control scheme is proposed, establishing the classifier of the
steel strip flatness signal is the basis of the scheme. The fuzzy clustering
method is used to establish the classifier. Getting the high quality
clustering prototypes is one of the key tasks. Secondly, a kind of new fuzzy
clustering model, generalized fuzzy C-means clustering (GeFCM) model, is
proposed and used as the mining tools in the real applications. The results,
under the comparisons with the results obtained by the basic fuzzy clustering
model, show the GeFCM is robust and efficient and it not only can get much
better clustering prototypes, which are used as the classifier, but also can
easily and effectively mine the outliers. It is very helpful in the steel
strip flatness quality control system in one real cold rolling line. Finally,
it is pointed out that the new model’s efficiency is mainly due to the
introduction of a set of adaptive degrees wj (j=1…n, and n is the number the
data objects) and an adaptive exponent p which jointly affect the clustering
operations. In nature, the proposed GeFCM model is the generalized version of
the existing fuzzy clustering models.
Keywords: Steel strip flatness signal; Generalized fuzzy clustering;
Outliers mining; Adaptive degrees; Adaptive exponent
Title
of the Paper: Using Formal Concept Analysis to Leverage Ontology-Based Yoga
Knowledge System
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Authors:
Y. C. Lin
Abstract: Over the past decade, the most significant evolution in organization
might be the dawn of the new economy in connection with the value of
intellectual assets. In this paper, we combine Formal Concept Analysis (FCA)
with Protege in order to construct ontology-based Yoga method serving both as
an example, and a knowledge-sharing platform. This may build a picture of
experts’ knowledge and understand with the general public, allow them to
participate in, and be totally aware of, satisfying their requirements.
Moreover, the platform will foster to eliminate the phenomenon of information
disparity between patients and physicians.
Keywords: Formal Concept Analysis, Yoga, Information Retrieval,
Ontology, Ontology-based system
Title
of the Paper: Development of an Ontology-based Flexible Clinical Pathway
System
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Authors:
Y. C. Lin
Abstract: The efficient storage of medical knowledge is critical for the
advancement of medicine; a flexible platform for the storage of knowledge is
the need of the hour. Therefore, this work focuses on clinical pathways—tools
that effectively maintain the quality and control the cost of medicine—to
formulate a model for knowledge storage. In this work, ontology was employed
as the fundamental theory to facilitate the construction of a flexible system.
Using task and domain ontologies, clinical pathway knowledge becomes more
accessible, as domain and operation knowledge are available separately.
Moreover, taking into account the continued refinement of clinical pathways,
this work developed cost-effective and quality health care systems, using
quartile and variance computations to identify problematic treatments and
pathways and to refine decision support systems. The integration of an
ontological approach with quartile and variance algorithms for clinical
pathways was implemented by system development, the outcome of which is
presented in this paper.
Keywords: Ontology, Clinical pathways, Domain ontology, Task ontology,
Ontology-based system
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