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Issue
1, Volume 10, January 2011
Title of the Paper:
New Method for
Designing 2-D (Two-Dimensional) IIR Comb Filters
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Authors:
Nikos E. Mastorakis
Abstract: An elegant method for designing 2-D (Two-Dimensional) Comb Filters
is provided. The method is based on an appropriate variable transformation.
Practical examples illustrate the validity and the efficiency of the method
are also included in this brief.
Keywords:
Comb Filters, 2-D Comb Filters, Multidimensional Systems, Multidimensional
Filters, Filter Design
Title of the Paper:
Gray-Level
Co-Occurrence Matrix Bone Fracture Detection
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Authors:
Hum Yan Chai, Lai Khin Wee, Tan Tian Swee, Sheikh Hussain
Abstract: Fractures of bone are a common affliction in orthopedic wards at any
given time. Trained radiologists generally identify abnormal pathologies
including fractures with a relatively high level of accuracy. However studies
examining reader accuracy have shown that in some cases the miss rate can be
as high when reading x-rays containing multiple abnormalities. Accurate
diagnosis of fractures is vital to the effective management of patient
injuries. As a result, detection of long-bone fractures is an important
orthopedics and radiologic problem, and it is proposed that a novel computer
aided detection system could help lowering the miss rate. This paper examines
the development of such a system, for the detection of long-bone fractures.
This project fully employed MATLAB 7.8.0 (.r2009a) as the programming tool for
loading image, image processing and user interface development. Results
obtained demonstrate the performance of the femur?s long bone fracture
detection system with some limitations.
Keywords:
Texture analysis, bone fracture, classification, gray-level co-occurrence
matrix, image processing
Title of the Paper:
Heart Beat
Classification Using Wavelet Feature Based on Neural Network
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Authors:
Wisnu Jatmiko, Nulad W. P., Elly Matul I., I Made Agus Setiawan, P. Mursanto
Abstract: Arrhytmia is one of the most crucial problem in cardiology. It can
be diagnosed by a standard electrocardiogram (ECG). So far, many methode have
been develop for arrhytmia detection, recognition and classification But many
methode for arrhytmia beat classification have been yet able to solve unknown
category data. This paper will discusses about how to determine the type of
arrhythmia in computerize way through classification process that able to
solve unkown categorical beat. We use FLVQ to solve the weakness of the other
methode of calssification such as to classified unknown category beat. This
process is divided into three steps: data preprocessing, feature extraction
and classification. Data preprocessing related to how the initial data
prepared, in this case, we will reduce the baseline noise with cubic spline,
then we cut the signal beat by beat using pivot R peak, while for the feature
extraction and selection, we using wavelet algorithm. ECG signal will be
classified into four classes: PVC, LBBB, NOR, RBBB and one unknown category
beat; using two following algorithms Back-Propagation and Fuzzy Neuro Learning
Vector Quantization (FLVQ). The classification will be devided on two phase,
at ones phase we will find best fitur for out system. At this phase we use
known category beat, the best fiture for out study is 50 fitur, it is from
wavelet decompotition level 3. Second phase is added unkown category beat on
data test, the unknown category beat is not included on data train. Accuracy
of FLVQ in our study is 95.5% for data without unknown category beat at
testing step and 87.6% for data with unknown category beat.
Keywords:
ECG, Electrocardiogram, Arrhythmia, FLVQ, back-propagation, wavelet
transforms, physionet, MIT-BIH.
Issue
2, Volume 10, February 2011
Title of the Paper:
Thermal Effect
of the Slanted Surface around the Central Hole of a Miniature Delta Wing on
the Leading-edge Vortices
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Authors:
Chin-Tsan Wang, Tzong-Shyng Leu
Abstract: The main feature of a delta wing is in the generation of vortices on
the leading edge of its wings to provide additional stable lift at high angle
of attack. The main purpose of this study is to analyze the impact of lee side
central holes under thermal condition to the development of vortex flow field
at the tip of a miniature delta wing and find the region with the most
significant changes in the velocity and pressure gradient to serve as the
thermal control location of a future delta wing. The study chooses near wing
surface heat flux of Q=100W/m2 and 10W/m2, representing the high and the low
heat flux, at Reynolds number, Re=2.64?103 and 8.84?103, to perform flow field
analysis. The study finds: the temperature effect under the high heat flux
produces a significant impact on the angle of attack (AOA) and the angle of
sideslip (AOS) of the delta wing and can easily cause the occurrence of
asymmetric flow field of vortices at the downstream tip of the delta wing.
Additionally, because a significant velocity and pressure gradient exist
around the corner on the bottom slanted surface of the lee side central hole
in the delta wing, the temperature impact on the change of AOA is most
pronounced and it is also the region of which the development of vortex flow
field is most affected. These findings could provide information on realizing
the thermal effect on the leading-edge vortices over the miniature delta wing
for future optimal flow control.
Keywords:
Delta wing, angle of attack, angle of sideslip, thermal control, heat flux,
vortex flow, thermal effect
Title of the Paper:
Environmental
Affection Based RFID Potential Bio-Disease Tracking/Tracing System
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Authors:
Chau-Chen Wu, Ming-Shen Jian, Ta Yuan Chou
Abstract: In this paper, an Environmental Affection Based RFID Potential
Bio-Disease Tracking/Tracing System (RFID-BDT) is proposed. Bio-information of
cultivation and disease prevention are important for the agriculture economy.
The RFID system is used to record the information (cultivation history) and
for identifying different objects. In addition, the location (before and
current) of the objects and the transported route can be obtained. According
to the proposed Disease Tracking Service, the possible disease infecting area,
possible infected objects, and disease tracking can be computed and managed.
Based on the proposed algorithm and system, by using network, the information
between different providers or consignees can be exchanged. The RFID-BDT will
be useful for different providers, consignees, and transporter to upload the
parameters and information to the internet based platform. Therefore, the
information of crop current location, the probability and percentage of
disease infection can be shared and evaluated.
Keywords:
RFID, Information Service, Location, Bio-information, Tracking system,
Environment Affection
Title of the Paper:
A Feedback
Linearization Based Control Strategy for VSC-HVDC Transmission Converters
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Authors:
Li Shuang, Wang Zhixin, Wang Guoqiang
Abstract: In this paper, a global stability and robust nonlinear controller
for VSC-HVDC transmission Converters applying input-output linearization (IOL)
techniques is proposed. The feedback linearization based nonlinear
differential-geometric techniques is used to cancel nonlinearities and
decouple the input control variables. Global tracking capability with zero
steady-state error of the voltage loop has been achieved by zero-dynamic
control. Also, there is no derivative calculation required and measurement of
load current is not needed. The proposed controller is of many advantages
compared with the traditional control strategies, such as global stability,
fast dc-bus voltage response, robust against parameter uncertainties and
decoupled dynamical d-q current loops. Comprehensive time-domain computer
simulations within MATLAB/SIMULINK have been carried out to confirm the
proposed control scheme.
Keywords:
Voltage-Source Converters (VSC)-HVDC, Nonlinear Control, Feedback
Linearization, Input-Output Linearization (IOL), Differential-Geometric
Issue
3, Volume 10, March 2011
Title of the Paper:
Comparison of
Travel-time Statistics of Backscattered Pulses from Gaussian and Non-Gaussian
Rough Surfaces
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Authors:
Gao Wei, She Huqing
Abstract: Travel-time statistics of backscattered pulses from Gaussian and
non-Gaussian (Rayleigh and Exponential) surfaces are studied and compared in
this paper. It is found that in both cases (the Gaussian and non-Gaussian
surfaces), the probability distributions of the first and the second travel
times are all only determined by a dimensionless parameter. Moreover, this
study also found that the proportional relations between the dimensionless
parameter and the median values of the first and the second travel times are
remarkably different for Gaussian and non-Gaussian cases. Then the statistical
parameters of the rough surface can be estimated from travel-time statistics
of backscattered pulses above if the probability distributions of the surface
elevation and slope (PDSES) are known in advance. However, PDSES are often
unknown in most of practical applications, and little work has been applied to
the problem of specifying the statistical characteristic of the rough surface
in advance (Gaussian or non-Gaussian). To solve this problem, on the basis of
the relations between the median values of travel times and the altitude of
source, a new theoretical method is proposed to judge the rough surfaces with
Gaussian, Rayleigh and Exponential distributions. It is believed that the
method proposed in this paper will be helpful to improve the estimate accuracy
the parameters of a rough surface.
Keywords:
Probability distribution, travel time, backscatter, random surface
Title of the Paper:
Applications
of Simplified Fuzzy ARTMAP to Partial Discharge Classification and Pattern
Recognition
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Authors:
Boonruang Marungsri, Suphachai Boonpoke
Abstract: Artificial intelligent techniques have been widely used in high
voltage insulation technology application. In this paper, the effectiveness of
artificial intelligent technique to apply for pattern recognition and
classification of Partial Discharge (PD) is presented. Partial discharge
signal was generated and measured by using an artificial partial discharge
source. Characteristics of PD signal for pattern recognition and
classification were determined by using statistical and fractal methods from
relationship among the voltage phase angle, the discharge magnitude and the
repeated existing of partial discharges. The simplified fuzzy ARTMAP (SFAM)
was used as artificial intelligent technique for pattern recognition and
classification. PDs characteristic quantities were used as input parameters
for Simplified Fuzzy ARTMAP to train pattern recognition and classification
system. Pattern recognition and classification results were obtained. The
results demonstrated the high effectiveness of the purpose technique applied
for pattern recognition and classification of partial discharge.
Keywords:
Partial discharges, PD Pattern recognition, PD Classification, Artificial
intelligent, Simplified Fuzzy ARTMAP
Title of the Paper:
Incipient
Fault Diagnosis of Rolling Element Bearing based on Wavelet Packet Transform
and Energy Operator
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Authors:
Zhongqing Wei, Jinji Gao, Xin Zhong, Zhinong Jiang, Bo Ma
Abstract: This paper mainly deals with the issue of incipient fault diagnosis
for rolling element bearing. Firstly, an envelope demodulation technique based
on wavelet packet transform and energy operator is applied to extract the
fault feature of vibration signal. Secondly, the relative spectral entropy of
envelope spectrum and the gravity frequency are combined to construct
two-dimensional features vector that characterizes each fault pattern.
Furthermore, K-nearest neighbors (KNN) is used to perform faults
identification automatically. The experimental results prove that the method
could avoid inaccurate diagnosis which only depends on the recognition of
characteristic frequency, while the effectiveness of the method in the
automatic fault diagnosis of bearing has been proved.
Keywords:
Wavelet packet transform; energy operator; rolling element bearing; incipient
fault; envelope spectrum; K-nearest neighbors
Issue
4, Volume 10, April 2011
Title of the Paper:
Modeling
Identification and Simulation of Bank to Turn Unmanned Aerial Vehicle
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Authors:
Huan-Jung Lin, Tain-Sou Tsay
Abstract: This paper presents mathematical modeling, identification and design
methods for a subsonic unmanned aerial vehicle(UAV). Small signal perturbed
aerodynamic models are developed first and used for identification processes
and autopilot designs. A simplified 6-DOF simulation model is developed second
with trim conditions added back to small signal perturbed aerodynamic models.
Simulation comparisons between the simplified and complete 6-DOF models are
made with same bank to turn guidance laws. A Tomahawk-like cruise UAV example
shows the simplified 6-DOF simulation model gives good approximations to the
complete 6-DOF system for developing guidance and control laws. This paper
gives better accurate simulation model for pitch angle and angle of attack
than previous paper developed by the author.
Keywords:
Aerodynamic identification, 6-DOF models, Simulation, Autopilot design, BTT
guidance laws, UAV
Title of the Paper:
A Study of the
Evaluation Model for Sustainable Community Industrial Development Using
Dynamic Programming Method
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Authors:
Kuei-Yang Wu
Abstract: Nowadays, towns and villages usually try to get funds for community
constructions by following empirical rules. It is not possible to predict the
effectiveness. And in the previous researches related to community
development, there is no decision support model built using mathematical
planning for fund allocation. This study obtains index weights for community
industrial development by applying FAHP and develops a supporting system
through dynamic programming models and results from the interviews with
experts, combining hierarchy structure of community industrial development.
“The Golden Town” in Gongguan Township, Miaoli County is chosen for empirical
analysis. The result of dynamic programming analysis shows that the best
decision is to first create sense of community and develop proper local
environmental and spatial characteristics. Then the structure of resources for
community development should be constructed to further form the key value of
community industrial development. After that, local natural environment,
humanities resources, and industrial cultures should be integrated to
concretely create sense of community and construct the concept of “life
community”.
Keywords:
FAHP, Dynamic programming, Community industrial development, Sustainable
development
Title of the Paper:
Torque Control
Strategy for Parallel Hybrid Electric Vehicles using Fuzzy Logic
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Authors:
Zhang Yi, Liu Heping, Wang Huabin
Abstract: This paper presents a design method of a torque control strategy for
parallel hybrid electric vehicles (PHEV) by using fuzzy logic. Taking the
driver command, the state of charge (SOC) of the battery, and the
motor/generator speed as inputs, a fuzzy controller and relevant fuzzy rules
have been developed to effectively determine the torque distribution between
electric motor (EM) and internal combustion engine (ICE). The underlying theme
of this strategy is to optimize the operational efficiency of all components,
considered as one system. The simulation results reveal that, compared with
the conventional logic torque control strategy (LTCS) which uses precise
threshold parameters, the proposed fuzzy torque control strategy (FTCS)
improves fuel economy and maintains battery SOC within its operation range
more effectively.
Keywords:
Parallel hybrid electric vehicle; Hybrid powertrain; Control strategy; Fuzzy
control; Torque distribution
Issue
5, Volume 10, May 2011
Title of the Paper:
A
Geometrical Approach For Fuzzy DEA Frontiers Using Different T Norms
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Authors:
Luiz Biondi Neto, Joao Carlos Correia Baptista Soares De Mello, Lidia Angulo
Meza, Eliane Goncalves Gomes, Nissia Carvalho Rosa Bergiante
Abstract: Interval DEA frontiers are here used in situations where one input
or output is subject to uncertainty in its measurement and is presented as an
interval data. We built an efficient frontier without any assumption about the
probability distribution function of the imprecise variable. We take into
account only the minimum and the maximum values of each imprecise variable.
Two frontiers are constructed: the optimistic and the pessimistic ones. We use
fuzzy relationships to introduce a new efficiency index based on a set of some
Fuzzy T Norms. We will explore only the case where only one single variable
presents a certain degree of uncertainty.
Keywords:
Data Envelopment Analysis; Fuzzy Sets; Interval Data; T Norms; optimistic
evaluation; pessimistic evaluation
Title of the Paper:
Intelligent
Control Network Design Based on CAN-bus for Audio Equipment
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Authors:
Xiuli Zhang, Zhong Wan, Deyang Yang, Weidong Chen
Abstract: In order to solve the problem of inconvenience in network
construction, short transmission distance of RS232 and non-intelligence audio
device with different interface for network, this paper presented a design of
the audio intelligent control network based on CAN(Controller Area
Network)-Bus. The topology of audio control network, structured models of
ICANNet and hardware are firstly discussed. Then the protocol of transport
layer and application layer and software of intelligent control network is
studied. Finally the test results were given to demonstrate the feasibility
and reliability of the design.
Keywords:
Intelligent Control Network; CAN-bus; Audio Equipment
Title of the Paper:
Adaptive
Control for a Five-Fingered Prosthetic Hand with Unknown Mass and Inertia
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Authors:
Cheng-Hung Chen, D. Subbaram Naidu, Marco P. Schoen
Abstract: An adaptive control strategy for the 14 degrees of freedom (DOFs),
five-fingered smart prosthetic hand with unknown mass and inertia of all the
fingers is developed in this work. In modeling, the various links used for the
five fingers of the prosthetic hand are shown. A cubic polynomial for the
trajectory planning is used. In particular, using a desired orientation for
three-link fingers, the forward and inverse kinematics of the prosthetic hand
system regarding the analytical solutions between the angular positions of
joints and the positions and orientations of the end-effectors (fingertips)
have been obtained. The simulations of the resulting adaptive controller with
five-fingered prosthetic hand show enhanced performance.
Keywords:
Adaptive control, prosthetic hand, hard control, five finger hand, feedback
linearization, trajectory planning
Issue
6, Volume 10, June 2011
Title of the Paper:
Study of
Magnetic Field Shielding Roof of Cabin Electricity Authority Resulting in
Operators Working
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Authors:
P. Pao-La-Or
Abstract: Monitoring, maintenance and repairing works of electric power
transmission systems are main functions of power engineers in their daily
schedule. Provincial Electric Authority of Thailand (PEA), state own
organization in which regional power transmission systems and rural electric
power distribution systems are its major services. For economic purposes, two
or more circuits are normally hung on the same towers. Typically, a circuit of
higher voltage is on the top of the tower. A practice of this configuration is
a combination of a 115-kV power transmission line and a 22-kV distribution
feeder. Safety of operators working in this circumstance depends on
carefulness of all possible risks. Even when one circuit is disconnected from
the supply source, magnetic induction becomes a serious issue where two or
more circuits are located close enough to each other. This paper proposes a
set of mathematical model of magnetic fields caused by high voltage conductors
of electric power transmission systems by using a set of second-order partial
differential equations. Computer-based simulation utilizing the
three-dimensional finite element method (3D-FEM) is exploited as a tool for
visualizing magnetic fields distribution around a power transmission line. In
addition, magnetic shielding devices are investigated in order to reduce the
magnetic induction on the nearby circuit. The configurations of a crane’s
cabin roof is studied and reported. Moreover, comparison of magnetic field
distributions with and without the shielding roof is illustrated.
Keywords:
Shielding, Cabin Roof, Transmission Line, Magnetic Fields, 3-D Finite Element
Method
Title of the Paper:
Design of
On-line Clock Jitter Fault Detection Circuit for Time-Error-Tolerant System
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Authors:
Yu Changhong
Abstract: One of the major obstacles encountered in design of a system on chip
(SoC) arises from the high fault rate of clock distribution network in
embedded intellectual property (IP) cores. With technology scaling, the
geometries of devices approach its physical limits of operation, SoCs will be
susceptible to various noise sources such as crosstalk, coupling noise,
process variations, etc. Designing such a system under uncertainty becomes a
challenge, as it is difficult to predict the time behavior of the system.
Conservative design methodologies that consider all possible faults due to the
noise sources, targeting safe system operation under all conditions will cause
poor system performance. By contraries, aggressive design approach that can
provide resilience against such timing faults without much additional
hardware, is toughly required for maximizing system performance. In this paper
we present an aggressive method to on-line detect the jitter faults on the
clock signal that are due to defects caused by noise for high speed SoCs. Only
fourteen MOS transistors and two minor capacitors are used for the circuit.
The technique of time-to-voltage conversion is employed for transforming the
time jitter error to variable voltage, which is more convenient in contrast
with the conservative clock fault tolerance structure methodology. The circuit
proposed can detect the jitter error of the digital clock signal faults with
different applications. We have formally evaluated the meta-stability of our
technique, which shows that our technique reliably meets the timing
requirements. The simulation-based results show that the proposed circuit can
be integrated into the nano-electronic SoCs applications to achieve the
on-line clock jitter fault detection, and its maximal frequency can reach
800MHz. Furthermore, fault injection experiments show that our technique can
tolerate all single faults on clock sources that lead to permanent stuck-at
fault and masks almost 49 percents of intermittent faults.
Keywords:
Clock fault, On-line detection, Time-to-voltage conversion
Title of the Paper:
Green Supply
Implementation based on Fuzzy QFD: An Application in GPLM System
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Authors:
Chih-Hung Hsu, An-Yuan Chang, Hui-Ming Kuo
Abstract: Quality function deployment (QFD) has been widely used in many
fields; it is one of the structured approaches that are used to translate
customer needs into specific quality development. However, in the traditional
QFD approach, each element’s interdependence and customer requirements (CRs)
for green supply are not usually treated systematically. The important
function of green product lifecycle management (GPLM) is to develop an
attractive system which ensures customer satisfaction for green supply.
Therefore, one of the important topics in the development of the GPLM system
is to take into green consideration. This study presents an integrative
approach by incorporating GPLM with fuzzy analysis into the matrix of QFD and
obtaining the priority ranking of engineering characteristics (ECs). To
illustrate these findings, we have incorporated an example which suggests that
the proposed approach can contribute to the creation of attractive GPLM
attributes and GPLM innovation. Several ECs and CRs are identified and
analyzed. The results of this study can provide an effective procedure for
improving a product’s design characteristics under GPLM, enhancing customer
satisfaction, and launching a green product in the marketplace.
Keywords:
GPLM, Fuzzy QFD, Green supply, Engineering characteristics, Customer
requirements, Rank
Issue
7, Volume 10, July 2011
Title of the Paper:
A
Domain-Specific Architectural Foundation for Engineering of Numerical Software
Systems
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Authors:
Arbi Ghazarian
Abstract: Numerical computations have found vast applications in numerous
areas of science and engineering. Many scientific and engineering advances
rely on the capability to build computational models in the form of numerical
software systems. A review of the numerical computation literature of the past
few decades reveals that research and practice in this area have been largely
focused on designing efficient numerical algorithms to carry out numerical
computations, but less attention has been paid to the architectural design of
large-scale numerical software systems. On the other hand, the field of
software engineering has made tremendous advances in the past few decades in
various areas of software development including programming languages,
development methodologies, and design techniques. Given the current mature
status of the algorithmic design aspects of numerical computations, a change
in research direction from lower-level algorithm design of numerical
computations to higher-level architectural design of numerical software
systems can yield fruitful results. In line with this objective, this paper
aims to address the architectural level issues of numerical systems by taking
advantage of the latest advances in software engineering and adapting them for
the domain of numerical systems. This paper presents the design of a
domain-specific architecture, which can serve as an architectural foundation
for developing a large family of numerical software systems. A number of
design strategies are presented and the rationale behind each strategy is
explained. Using the Java programming language, we demonstrate how each of the
strategies can be implemented in an object-oriented language. We further
demonstrate that a set of basic design principles underlie a variety of design
techniques.
Keywords:
Numerical Software, Software Engineering, Software Architecture, Architectural
Patterns, Design Patterns, Design Principles
Title of the Paper:
Novel
Mechanisms for Quality of Service Improvements in Wireless Ad Hoc Networks
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Authors:
Mohammad S. Saraireh, Nidal A. Al-Dmour
Abstract: This paper proposes two mechanisms for improving the IEEE 802.11 DCF
protocol performance and for enhancing QoS in IEEE 802.11 wireless LANs. These
are Ratio based and Collision Rate Variation (CRV) schemes. The Ratio based
scheme uses the collision rate value of the current and the past history of
the network conditions to adaptively adjust the Contention Window (CW) size
for each individual station. The CRV scheme also employs the collision rate
and collision rate variation values to adjust the CW value locally for each
individual station based on the current and previous network conditions. The
aim of developing these approaches is to reduce the probability of collisions
among the contending stations in a heavily loaded network in an attempt to
improve QoS in IEEE 802.11 DCF protocol. The proposed schemes are evaluated
and compared with the conventional IEEE 802.11 DCF and the Exponential
Increase Exponential Decrease (EIED) schemes. The evaluation is carried out
for different scenarios (i.e. different traffic load and different network
size) using the ns-2 simulator. The metrics used in the evaluation are delay,
jitter, throughput, packet loss, protocol efficiency, and collision rate. The
results indicate that the best performance is achieved by using the proposed
schemes with superiority for the CRV scheme in most cases.
Keywords:
Quality of Service (QoS), IEEE 802.11 MAC protocol, Network Simulator,
Contention Window (CW), Distributed Coordination Function (DCF), and Wireless
Networks
Title of the Paper:
Investigation
Life Time Model of 22 kV XLPE Cable for Distribution System Applications in
Thailand
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Authors:
Boonruang Marungsri, Anucha Rawangpai, Nimit Chomnawang
Abstract: Cross-linked polyethylene (XLPE) high voltage cables have been
widely used in power transmission and distribution systems. Ageing
deterioration of XLPE insulating material can not be avoidable due to its made
of polymeric material. This paper mentions to the experimental results on
artificial ageing test of 22 kV XLPE cable for distribution system application
in Thailand. XLPE insulating material of 22 kV cable was sliced to 60-70 ìm in
thick and subjected to ac high voltage stress at 23?C, 60?C, 75?C and 90?C.
The specimens were tested under different electrical stress levels varying
from 50kV/mm to 130kV/mm. Testing voltage was constantly applied to the
specimen until breakdown. Five specimens were tested at each temperature level
and each voltage stress level. Breakdown voltage and average time to breakdown
were used to evaluate life time of insulating material. Furthermore, the
physical model by J. P. Crine for predicts life time of XLPE insulating
material was adopted as life time model and was determined in order to compare
the experimental results. Acceptable life time results were obtained from
Crine’s model comparing with the experimental result. In addition, Fourier
transform infrared spectroscopy (FTIR) for chemical analysis and scanning
electron microscope (SEM) for physical analysis were conducted on tested
specimens.
Keywords:
Artificial accelerated ageing test, XLPE cable, distribution system,
insulating material, life time, life time model
Issue
8, Volume 10, August 2011
Title of the Paper:
Dynamic
Characteristics and Graphic Monitoring Design of Photovoltaic Energy
Conversion System
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Authors:
Kuo-Hua Liu
Abstract: This study explored the dynamic characteristics and monitoring
design of the photovoltaic energy conversion system, which is a system model
of an independent power supply. This study first established the non-linear
differential equation of the system model, linearized the model, and analyzed
the eigenvalues and dynamic response of the system using the MATLAB program.
The dynamic characteristics of the photovoltaic energy conversion system were
obtained from systematic analysis. In addition, this study used the main
controller in industrial automation, programmable logic controller (PLC), to
monitor the overall system and the electric energy of solar cells. It employed
the man-machine interface application program to construct a PLC monitoring
system of network graphic monitoring. The personal computer (PC) was connected
to the PLC through the RS232 port, and the changes in voltage and current were
monitored on the PC display. Finally, the accuracy of the model was verified
by the operating points, eigenvalues, and dynamic response.
Keywords:
Dynamic Characteristics, Programmable Logic Controller, Monitoring System,
Photovoltaic, Solar Cell, Eigenvalue
Title of the Paper:
Design of
Capacity Regulation System for Reciprocating Compressor Based on Programmable
Logic Controller
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Authors:
Dacheng Li, Zhinong Jiang, Lihua Cui
Abstract: The reciprocating compressor used in the industry consumes copious
amounts of energy. Unnecessary energy consumption can be reduced by regulating
the compressor capacity and by better satisfying its energy efficiency and
environmental and production requirements. In this paper, a programmable logic
controller (PLC)-based capacity-regulating system is successfully designed and
put forward for the first time after an analysis of the time control
technology of pressing-off the inlet valve plate during partial stroke. The
actuator, which works on the principle of electromagnetism, is designed to
press off the valve plate to control the opening and closing of the inlet
valve. The control system, mainly composed of the PLC, controls the on-off
time of the coil to implement the application and revocation of the open force
acting on the valve plate. The control system also measures actual crankshaft
speed to optimize the regulation result. The design process and experimental
application of the system shows that the technology can realize continuously
stepless capacity regulation for the compressor within the 0%–100% range. The
entire system is cheap to manufacture, consumes low power during operation,
and has high economic efficiency. The regulating system is safe, reliable,
easy to operate, and can be applied in most working conditions.
Keywords:
Programmable Logic Controller; Reciprocating compressor; Capacity regulation;
Electromagnet; Actuator; Inlet valve
Title of the Paper:
Fuzzy Embedded
Mobile Robot Systems Design through the Evolutionary PSO Learning Algorithm
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Authors:
Hua-Ching Chen, Dong-Hui Guo
Abstract: The evolutionary learning algorithm called particle swarm
optimization (PSO) is developed in this paper. The image model of the embedded
mobile robot is automatically generated with the omni-directional image
concept to approach toward the behavior of the embedded mobile robot. The
circumvolutory environment is dynamically captured from the head of the mobile
robot, which will directly be transformed into the Cartesian coordinate
system. The required parameters of fuzzy rules are automatically extracted
with the guide of the flexible fitness function, which is efficiently approach
toward the multiple objectives of avoiding obstacles, selecting favorable
fuzzy rules to drive the desired targets at the same time. Three illustrated
examples with various initial positions for the discussed environment map
containing different blocks size and locations are illustrated the efficiency
of the PSO leaning algorithm. Simulations demonstrate that the proposed mobile
robot with the selected fuzzy rules can avoid the obstacles and achieve the
targets as soon as possible.
Keywords:
Particle swarm optimization; Fuzzy systems; Mobile robots, Evolutionary
learning, Omni-directional image
Issue
9, Volume 10, September 2011
Title of the Paper:
Some
Mathematical Descriptions of Multi-Connected System of Fuzzy State Space Model
via Number Theory Approach
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Authors:
Taufiq Khairi Ahmad Khairuddin
Abstract: Some mathematical structures of multi-connected systems of Fuzzy
State Space Model (FSSM) are proposed in this study by adapting some analogies
in Number Theory. Some characteristics of the defined structures are also
stated to easily identify these structures in some systems which are normally
complex and made up by the combination of several structures. Multi-connected
systems of FSSM are also divided into two parts to further describe each
subsystem of the systems with their input and output parameters. In addition,
these suggested structures are also applied to describe a real physical system
which is a boiler’s system of a combined cycle power plant. Some associations
and relations between subsystems of the boiler’s system can be understood
deeper from the result which helps to increase the knowledge about the total
system. In short, this study provides an alternative method to handsomely
interpret connections of systems of FSSM in some interesting manner.
Keywords:
Feeder, Receiver, Multi-Connected System, Boiler
Title of the Paper:
A Novel
Approach for Meeting the Challenges of the Integrated Security Systems
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Authors:
Moein Kasem, Nadim Chahin
Abstract: This study aims to build a general mathematical model in integrated
security systems to overcome the remaining challenges in this domain, due to
the heterogeneity, the uncertainty, the bad quality, and the conflict
resulting from the information provided by the information sources (i.e.
sensors) by taking account of the constraints, the scalability, and the
architecture of the security system. The proposed model is fundamentally based
on the proportional conflict redistribution fusion rule developed by Arnaud
Martin under the framework of Dezert-Smarandache model. This combination
permits to extend the utility of Dempster-Shafer model, and assures the
generality of the proposed system.
Keywords:
Dezert-Smarandache Theory (DSmT), Dempster-Shafer Theory (DST), Proportional
Conflict Redistribution (sixth version) PCR6, Integral Security System
Challenges
Title of the Paper:
Generalized
State Equation for Petri Nets
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Authors:
Cem Baskocagil, Salman Kurtulan
Abstract: Petri nets (PN) are becoming more common as a tool for analysis and
design of industrial automation systems (IAS). As an important advantage, PN
is able to represent the systems both mathematically and graphically. We can
utilize mathematical features of PN to carry out modeling, simulation, testing
and verification phases of IAS. Thus, the entire analysis and design process
of large-scale systems is greatly simplified and system modeling can be
performed accurately and efficiently. However, there is no state equation
available defined for PN in the literature, when dealing with the inhibitor
and enabling arcs. In addition, although resetting mechanism is frequently
used for IAS, there is no arc type directly representing such a mechanism in
the literature. In this study, the state equation of PN is revisited and novel
mathematical descriptions of both inhibitor and enabling arcs are introduced.
Additionally, a new type of arc, called “nullifier arc”, and its corresponding
modified state equation are proposed for modeling of the resetting mechanism.
The state equation of all three arc types are combined and expressed as
“generalized state equation”. New software is developed and utilized to
demonstrate the application of generalized state equation on an IAS. Finally,
it is revealed that this novel generalized state equation is capable of
representing the special arcs, which facilitates analysis of large scale
systems.
Keywords:
Discrete event systems, modeling, analysis, simulation, petri nets, incidence
matrix, state equation, inhibitor arc, enabling arc, nullifier arc
Title of the Paper:
Guaranteed
Cost Control of Uncertain T-S Fuzzy Systems via Output Feedback Approach
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Authors:
Jun Wei, Yali Dong, Yongfeng Su
Abstract: This paper focuses on the problem of Guaranteed cost control of
uncertain T-S fuzzy systems. Based on observer design, the guaranteed cost
output feedback control law which guarantees that the closed-loop uncertain
T-S fuzzy system is robustly asymptotically stable is proposed. By utilizing
the Lyapunov function together with the linear matrix inequality (LMI)
approach and free weighting matrix method, some sufficient conditions are
obtained, which guarantee the asymptotic stability of uncertain T-S fuzzy
systems. A numerical example is included to show the proposed method is
effective and can provide less conservative results.
Keywords:
Guaranteed cost control; Robustly asymptotically stable; Takagi-Sugeno (T-S)
fuzzy system; Linear matrix inequality (LMI); Uncertain system
Issue
10, Volume 10, October 2011
Title of the Paper:
Regression
Models of Process Parameters Interdependence in Turning S12Mn2Si Metallized
Coatings
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Authors:
Mihaiela Iliescu
Abstract: Statistical methods, such as experiments design and regression
analysis, performed with special software, do represent successful means to be
used in studying important aspects of real machining processes. This article
points out the most relevant aspects of research carried out in order to
determine new models of process functions specific to exterior cylindrical
turning process parameters. The material studied was thermal sprayed S12Mn2Si,
a Romanian produced one, with wide application in industry. “Steps” developed
in this research could be considered “guidance lines”, whenever process
parameters relationships are worth to be determined.
Keywords:
Regression model, turning process, cutting tool durability, surface roughness,
metallized coating
Title of the Paper:
Structure
Design and Performance Analysis for Locomotion System of the Field Exploration
Robot
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Authors:
Shang Weiyan, Qiu Faju Yang, Chaozhen Zhengshuhua
Abstract: In order to perform the exploration task in the field successfully,
a new wheel-tracked locomotion system has been designed. Then the front track
wheel system, the rear wheel system and the suspension system has been
designed in detail. Basing on the structure design, a 3-D model for simulation
has been established, and the kinematic performance of wheel-tracked
exploration robot has been simulated by the software Recurdyn. Finally, a
physical prototype has been manufactured and some kinematic performance of the
locomotion system has been examined. The results provide practical evidence
for the application of wheel-tracked exploration robot.
Keywords:
Exploration robot, locomotion system, structure design, simulation, kinematic
performance
Title of the Paper:
Soft Computing
Algorithms in Price of Taiwan Real Estates
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Authors:
Hong-Yu Lin, Kuentai Chen
Abstract: The prediction of real estate price is important because it concerns
both individuals and government. Other than traditional statistic methods,
Neural networks and Support Vector Regression have demonstrated their
advantages in previous research, and thus are applied and compared in this
study. Variables are first summarized and concluded from earlier research and
than selected by stepwise procedure and trial-and-error methods. It is found
that SVR with trial-and-error method performed the best with MAPE=4.466% and
R2=0.8540. In addition, Rediscount rate, Money supply, and Price of last month
are the three common variables for both BPNN and SVR. The economic explanation
and relations to the housing price for selected variables are also provided.
Keywords:
Forecasting, Real estate, Back propagation neural network, Data mining,
Support Vector Regression
Title of the Paper:
Mathematical
Models of Force and Torque in Machining 10TiMoNiCr175 Stainless Steel Holes
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Authors:
Mihaiela Iliescu, Bogdan Vlase, Ovidiu Blajina
Abstract: For scientific research and / or industrial application it is
important to determine mathematical models of force and torque, when
machining. Thus, it would be possible to know optimum process parameters
values or, even better, to predict force and torque values, once process
parameters values set. Machining holes, more specifically drilling and
widening, in stainless steel parts is required in many cases but,
unfortunately, the existing data published on this topic are very poor and,
rather, qualitative ones. So, a study on 10TiMoNiCr175 stainless steel
material has been done and the results presented by this paper, mainly
considering the wide industrial application of this material in Romanian
industry.
Keywords:
Mathematical model, regression, drilling, widening, force, torque, stainless
steel
Issue
11, Volume 10, November 2011
Title of the Paper:
A Particle
Filter and SVM Integration Framework for Fault-Proneness Prediction in Robot
Dead Reckoning System
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Authors:
Lingli Yu, Min Wu, Zixing Cai, Yu Cao
Abstract: This paper proposes an integrated framework for fault prediction in
the robot dead reckoning system. The integrated framework is built by particle
filter and support vector machine (SVM). On the basis, the weighted fault
probability parameters can be extracted to train the prediction model.
Different from the traditional particle filter fault prediction model, the
proposed framework can overcome difficulties of the empirical threshold
setting for decision-making. On the other hand, particle filter can not only
estimate the system state values, but also obtain the residual errors that are
yielded by comparing with the actual measured values. The average relative
error is calculated to reduce its computing complexity in fault prediction
process. Furthermore, an improved particle filter combined with support vector
machine (PF-SVM) integration framework for fault-proneness prediction was
devised in robot dead reckoning system. This framework estimates the particle
filter process according to system state values and observed parameters to
train SVM model. Finally the simulation experiments demonstrate that the
PF-SVM integration framework can increase computing efficiency for
fault-proneness prediction, and keep relatively high prediction accuracy at
the same time. Besides that, the corresponding time step of malfunction can be
precisely predicted.
Keywords:
Particle filter, support vector machine, fault prediction, weighted fault
probability, integration framework, dead reckoning system
Title of the Paper:
Design and
Realization of Short Range Defence Radar Target Tracking System Based on
DSP/FPGA
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Authors:
Pan-Long Wu, Bao-Bao Wang, Cun-Hui Ji
Abstract: This paper presents the hardware design of a real time tracking
system based on DSP/FPGA regarding the research and development of a certain
type of short range defence radar. In this tracking system, the FPGA is used
as a floating point co-processor of the fixed point DSP, and the large amount
of calculation of the debiased converted measurement Kalman Filter (DCMKF)
algorithm is realized in FPGA. DSP is in charge of the scheduling of the total
tracking algorithm and the control of the data stream, which resolves the
problem of the concurrency and real time in the realization of the single DSP
scheme. The designed tracking system ensures the accuracy of the data
processing as well. The experiment results show that the designed scheme meets
the requirement of the high precision and real time of the tracking system.
Keywords:
Target tracking, DCMKF, Co-processor, FPGA, DSP, Floating point arithmetic,
Time division multiplexing
Title of the Paper:
The
Mathematical Structure of a Bias-Minimized Assessment Algorithm
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Authors:
Zhuhan Jiang, Jiansheng Huang
Abstract: We propose an assessor reallocation algorithm that aims to
objectively reduce the marking biases of the individual markers based on their
earlier marking statistics. The underlying mathematical structure along with a
number of pertinent statistical properties and relationships has been analyzed
for the model to assure the validity of the proposed methodology. Experiments
on simulated data and on the real cases have also been conducted to illustrate
the effectiveness on the reduction of the accumulated marking biases over
multiple assessment items involving multiple assessors.
Keywords:
algorithm, modeling marking biases, mathematical structure, multiple
assessments and assessors
Issue
12, Volume 10, December 2011
Title of the Paper:
Modeling,
Analysis and Neural MPPT Control Design of a PV-Generator Powered DC
Motor-Pump System
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Authors:
Ahmed M. Kassem
Abstract: This paper presents the optimization of a photovoltaic (PV) water
pumping system using maximum power point tracking technique (MPPT). The
optimization is suspended to reference optimal power. This optimization
technique is developed to assure the optimum chopping ratio of buck-boost
converter. The presented MPPT technique is used in photovoltaic water pumping
system in order to optimize its efficiency. An adaptive controller with
emphasis on Nonlinear Autoregressive Moving Average (NARMA) based on
artificial neural networks approach is applied in order to optimize the duty
ratio for PV maximum power at any irradiation level. In this application, an
indirect data-based technique is taken, where a model of the plant is
identified on the basis of input-output data and then used in the model-based
design of a neural network controller. The proposed controller has the
advantages of robustness, fast response and good performance. The PV generator
DC motor pump system with the proposed controller has been tested through a
step change in irradiation level. Simulation results show that accurate MPPT
tracking performance of the proposed system has been achieved. Further, the
performance of the proposed artificial neural network (ANN) controller is
compared with a PID controller through simulation studies. Obtained results
demonstrate the effectiveness and superiority of the proposed approach.
Keywords:
photovoltaic, maximum power point tracking, drive systems, artificial neural
network controller
Title of the Paper:
Reliability
Analysis of a Deteriorating System with Delayed Vacation of Repairman
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Authors:
Danhong Liu, Genqi Xu, Nikos E. Mastorakis
Abstract: In this paper, we discuss a deteriorating system with one repairman.
In this system, it is assumed that the component cannot be repaired ”as good
as new” after failures and the repairman takes a delayed vacation, the repair
time is taken into account. Under these assumptions, we derive a model of
partial differential equations by using the geometric process and
supplementary variable technique. We get some reliability indices by the
Laplace transform method. The working probability of the repairman, the
delayed rate and the rate of occurrence of failures of the steady state of the
system are explicitly given. In particular, the rate of occurrence of failures
in the steady state satisfies m_f =/ 0.
Keywords:
deteriorating system, delayed vacation, Laplace transform, partial
differential equation model, reliability
Title of the Paper:
Stability
Analysis of BAM Neural Networks with Inertial Term and Time Delay
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Authors:
Yunquan Ke, Chunfang Miao
Abstract: In this paper, the global exponential stability of BAM neural
networks with inertial term and time delay are investigated. By chosen proper
variable substitution the system is transformed to first order differential
equation. Then some new sufficient conditions, which can ensure the globally
exponential stability of the system are obtained by constructing suitable
Lyapunov functional, using Halanay inequality and the fundamental solution
matrix of coefficient matrix. Finally, two examples are given to illustrate
the effectiveness of the results.
Keywords:
BAM neural networks, inertial term, Halanay inequality, Lyapunov functional,
exponential stability
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