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Issue
1, Volume 8, January 2009
Title of the Paper:
Analysis of Electromagnetic Pollution Produced by Line Frequency Coreless
Induction Furnaces
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Authors:
Angela Iagar, Gabriel Nicolae Popa, Ioan Sora
Abstract: This paper presents the electromagnetic pollution produced by the
line frequency coreless induction furnaces in the power supply network. We
analyzed a furnace with 12.5 t capacity of cast-iron. The measurements have
been made in the secondary of the furnace transformer, using the CA8334
three-phase power quality analyser. Experimental results emphasized the
presence of harmonics and interharmonics in the phase voltages and harmonics
in the currents absorbed from the network. The operation of analyzed furnace
also produces unbalance. Further to the harmonic analysis of the signals
measured in the furnace installation, we have been proposed some optimization
methods for its operation, in such way to comply with the European norms of
Electromagnetic Compatibility (EMC).
Keywords:
Harmonics, Unbalance, Power quality measurement, Induction furnace
Title of the Paper:
Hierarchical Model of a Systolic Array for Solving Differential Equations
Implemented as an Upgraded Petri Net
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Authors:
Perica Strbac, Milan Tuba, Dana Simian
Abstract: The objective of this paper is to develop a hierarchical model of a
systolic array which solves differential equations by using Upgraded Petri Net
(UPN). The Upgraded Petri Net presents a formal modeling tool, based on
mathematical apparatus, used for simulation and analysis of processes,
particularly at the register transfer level. Original software for modeling
and simulations of Upgraded Petri Nets, PeM (Petri Net Manager), is developed
and used for all models described in this paper. This software supports: UPN
formal theory, graphical modeling, simulation and analysis of an UPN model.
This paper includes a preface on the UPN theory, the UPN models formulation,
the UPN models of a processing element of a systolic array which solves
differential equation, their simulation and analysis. The first hierarchical
level refers to the high level systolic array modeling. This model shows
processing elements that calculate or pass their input to the output. Thus,
the next processing element uses the results from the previous one. The second
level model is more detailed and refers to a single processing element. This
model is capable to generate solution of a differential equation through UPN
execution based on Taylor’s method. This execution is based on parralel firing
of a group of transitions. The results are stored into a *.mem file inside the
PeM. The suitability of UPN for modelling of the systems at different levels
of abstraction is examined and established.
Keywords:
Upgraded Petri Net, Systolic Architecture, Modeling
Title of the Paper:
Minimal Realization Algorithm for Multidimensional Hybrid Systems
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Authors:
Valeriu Prepelita
Abstract: A class of multidimensional time-invariant hybrid systems is
studied, which depends on q continuoustime variables and on r discrete-time
ones. The formula of the input-output map of these systems is given. A
multiple (q; r)-hybrid Laplace transformation is defined and it is used to
determine the transfer matrices of the considered systems. The minimal
realization problem is analysed and an algorithm is given which provides
minimal realizations.
Keywords:
Multidimensional hybrid systems, multiple hybrid Laplace transformation,
minimal realization, controllability, reachability, time-invariant systems
Title of the Paper:
Mathematical Modeling and Simulation in Matlab/Simulink of Processes from
Iron Ore Sintering Plants
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Authors:
Corina Maria Dinis, Gabriel Nicolae Popa, Angela Iagar
Abstract: This work presents the mathematic models of the basic processes from
an iron ore processing plant. Based on the mathematic models, using the Matlab/Simulink
platform, it was achieved the simulation of the dosing process and simulation
of the sintering process. The achieved mathematic model allows the
determination of the material flows in the charge at their chemical
composition variation, or at the variation of the reference values of the
parameters S, I, r0, c0. Further the simulation, there are obtained the
time-variations of the optimal speed for the sintering machine at different
distributions of iron ore’s temperatures on the sintering band.
Keywords:
Sintering process, Sintering plant, Iron ores, Charge, Agglomerate, Sintering
machine, Modeling, Simulation, Simulink
Title of the Paper: A
Genetic Algorithms Programming Application in Natural Cheese Products
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Authors:
Anant Oonsivilai, Ratchadaporn Oonsivilai
Abstract: Application of genetic algorithms to attain the parameters of the
processed cheese products is used in this paper. As in the recent years, model
integrates cheese manufacturing has had considerable appeal. The economical
evaluation of standaized milk for cheese making is established, thus an
objective is given; to make the profit of the natural chesse. Genetic
algorithms are highly eligible for investigation of multimodal space of
discreteness, noisiness and complexity. Majority of Genetic Algorithms (GA)
modifications to solve problematic optimization issues, find some mathematical
support to the GA. Explotation of Genetic Algorithms modified optimization
give advanced results as recognized.
Keywords:
Genetic Algorithms, Natural Cheese, Process, Optimization, Economic, Profit
Title of the Paper:
Automatic Generation of Explanation for Expert Systems implemented with
Different Knowledge Representations
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Authors:
Ahmed Fouad Said, Ahmed Rafea, Samhaa R. El-Beltagy, Hesham Hassan
Abstract: Humans seem to have a natural instinct for wanting to understand and
make sense of their environment and things in it. In expert systems (ES),
explanation can be used to clarify the reasoning process to users such that
they can gain a better understanding of how the system functions. With the
help of good explanation facilities, a user can know why an ES is asking a
particular question, how the expert system will act if given a certain input,
and how the ES reaches a particular conclusion. This is especially important
when an ES application is used as a high level advisor to professionals who
must retain responsibility for the decisions which are made. However, most ES
explanation components require acquiring additional knowledge for explanation,
thus increasing the effort of implementing an ES with explanation
capabilities. The primary goal of this work is to present a methodology for
automatically generating explanations during and at the end of the reasoning
process. The developed explanation components can deal with different
knowledge representation schemes that are used by problem solving methods
namely, the “generate and confirm hypotheses” that is based on the CommonKADS
methodology[1], and the routine design generic task[2]. As a proof of concept
the explanation components were developed and integrated into the agricultural
expert system generic tool (AESGT)[3] .The developed explanation components
can be easily reused with expert systems developed by the tool to
automatically generate explanation for the reasoning process.
Keywords:
Expert Systems, Explanation, Knowledge Engineering, Plant Protection
Title of the Paper: A
Noble Identification System for Tumors and Implementation
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Authors:
Shieh-Shing Lin, King-Tan Lee, Jia-Hau Chen, Hen-Chia Hsu
Abstract: In this paper, we present a noble identification system for tumor
and implement the proposed method in identifying the tumors X-ray data. First,
based on the micro-control equipment, we design an identification system that
owns the comparison function. The identification system owns the following
attractive features: i. the identification system has high accuracy in
comparison ability. If there is a slight deviation of a tumor, the
identification system points out the coordinate of the tumor. This function of
the identification system reduces the working time of the doctors and
decreases the misjudging cases. ii. After the judgment of the X-ray data, the
suspected tumors position was shown on the display board. We can also
transform the patients’ tumor data through the network. This special feature
helps in group-doctors inter-meeting.
Keywords:
Micro-control equipment, Identification system, Network transmission, Tumors
Title of the Paper: Warm
Rainy Clouds and Droplet Size Distribution
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Authors:
Nazario D. Ramirez-Beltran, Robert J. Kuligowski, Melvin J. Cardona, Sandra
Cruz-Pol
Abstract: This paper presents the analysis of cloud droplet size distribution
(DSD) and the use of a proxy variable for the parameters of the DSD to explore
the possibility of detecting warm rainy clouds. Cloud DSD plays a paramount
role in the parameterization of cloud microphysics in climate models. The
droplet size distribution also plays a crucial role in determining the
radiative properties of clouds and is usually obtained using satellite
retrieval algorithms. This paper presents an analysis of the modified Gamma
model which is used to represent the cloud DSD. The analysis of the DSD is
conducted through the derivation of the distribution moments and their
physical interpretation. The analysis includes the discussion of the mean,
variance, effective radius, and effective variance of the DSD. Usually the
effective radius is extracted from radiance measurements. However, since the
modified Gamma distribution has two parameters it requires estimates of both
the effective radius and effective variance to properly estimate cloud
microphysics from radiance information.
Keywords:
Warm rainy clouds, droplet size distribution, modified Gamma distribution,
effective radius, effective variance
Title of the Paper:
Remote Sensing of Atmospheric Particles Using LIDAR, Calipso Satellite, &
AERONET: Algorithm Development
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Authors:
Javier Mendez, Hamed Parsiani, Emmanuel Sanchez
Abstract: Algorithms have been developed for the determination of essential
parameters such as Aerosol Size Distribution, Angstrom coefficient, and Single
Scattering Albedo necessary in the determination of regional climatological
model and weather prediction capabilities. The atmospheric power profile data
for the calculations of these parameters have been obtained from Light
Detection And Ranging (LIDAR) which is operational at City University of New
York (CUNY). A similar system is near completion at the University of Puerto
Rico at Mayaguez (UPRM). Also, the data from the Lidar in the orbit (CALIPSO
satellite) has been used to calculate the Aerosol Optical Depth (AOD) for the
western part of Puerto Rico and compare it to the AOD obtained from an AERONET
network which is also located in the western region of Puerto Rico. The
Calipso Lidar satellite transmits laser and collects backscattered light at
two standard wavelengths (one wavelength at two polarizations). The AERONET
network is a complementary method of determining the Optical Depth of the
aerosol. The three aforementioned systems operate based on multiple wavelength
laser light transmission and reception. Each system is explored in this paper,
and full emphasis is given to the Lidar system which presently is near
operation at the UPRM, explaining the functionality of the Laser, optical
telescope, optics, sensors, signal processing systems, the power profile
reflected from the aerosols are obtained at standard wavelengths of 355, 532,
and 1064nms, both at CUNY and UPRM. The plots of aerosol distribution in the
column of atmosphere in terms of the essential aerosol parameters have been
produced using the Lidar data over New York urban area.
Keywords:
Remote Sensing, Lidar, Calipso, AERONET, Atmospheric Parameters
Title of the Paper:
Generating Multi-Sensor Precipitation Estimates over Radar Gap Areas
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Authors:
Shayesteh E. Mahani, Reza Khanbilvardi
Abstract: Generating a multi-sensor precipitation product over radar gap area
is the objective of the present study. A merging approach is developed to
improve Satellite-based Precipitation Estimates (SPE) by merging with
ground-based Radar Rainfall (RR) estimates because remote satellites are the
only source that can collect information from areas where are inaccessible by
ground-based radar and/or rain gauge networks. The merging algorithm is
capable of extending radar information from pixels with available RR to their
neighboring pixels with no radar information by merging RR with SPE, which is,
usually, available for all pixels. SPE is combined with RR using the
weighting-based approach of Successive Correction Method (SCM) after local
bias correction of SPE with respect to RR. High resolution satellite
infrared-based rainfall estimates from the NESDIS Hydro Estimator algorithm
(HE), at hourly 4 km ? 4 km basis, is selected to be merged with radarbased
NEXRAD Stage IV rainfall measurements to generate rainfall product for the
radar gap areas. To be able to validate the generated rainfall against NEXRAD,
different size areas with available radar rainfall are selected as radar gap
regions. The developed merging technique is evaluated for several study cases
in summer 2003 and 2004. The results show that generated rainfall for the
radar gap areas are more correlated with RR (average 0.67) than original HE
with RR (average 0.36) and the RMSE between merged and radar rainfall (average
2.8 mm) is less than the RMSE between satellite and radar rainfall (average
4.48 mm). And also, the pattern and intensity of the generated rainfall for
radar gap area became more similar to the pattern and value of RR. In
addition, the enhancement of the generated rainfall with respect to RR is more
significant for high rainfall amounts.
Keywords:
Merging, Radar, Gap area, Precipitation, SCM, Satellite, Rainfall
Title of the Paper:
Implementation of the Stable States Transition Control Algorithm for a Four
Free Joints Walking Robot
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Authors:
Anca Petrisor, Nicu George Bizdoaca, Adrian Drighiciu, Sonia Degeratu,
Gabriela Petropol Serb, Raducu Petrisor
Abstract: The paper presents a systemic approach of a walking robot behavior
and control in uncertain environments, with application to a hexapod robot.
For simplicity, this paper considers only the vertical xzplane evolution
taking into account that the structure is symmetrical in the horizontal xy-plane
and the results can be easily extended. Based on the mathematical model of the
robot, determined considering all the points in the xz-plane as being complex
numbers, a new concept of walking called SSTA, "Stable States Transition
Approach", is proposed. Applications of this algorithm for a walking robot
with four free joints are implemented on a user-friendly simulation and
educational platform and also a control system development environment for
control of walking robots systems - RoPa. All the examples demonstrate the
efficacy of the proposed control algorithm.
Keywords:
Walking robot, mathematical model, control algorithm, variable causality
dynamic system, stable states, free joints
Title of the Paper:
Fuzzy Control Algorithm Implementation using LabWindows
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Authors:
Marius Constantin Popescu, Anca Petrisor, Adrian Drighiciu, Raducu Petrisor
Abstract: This paper presents the way to create a fuzzy controller used to
command a fluid flow servo-valve with force reaction, this servo-valve being
the execution element of an industrial robot adaptation system which adjusts
the position on one axel. Practically, beginning from a value of the reference
(the position in which we wish to move the free extremity of the hydraulic
cylinder’s piston’s cane), for example at half the distance the piston covers
and at a value of the speed with which the piston moves at a certain moment,
the paper goes through all the stages of fuzzy algorithm and a firm value of
the command which the controller produces in this case. The spread of the
applications’ field of the numerical systems for adjustment and control of the
technological processes is, obviously, sustained by the superior performances
achieved by such systems, as is the case of the fuzzy system, comparing to the
conventional analogical automated systems.
Keywords:
Fuzzy algorithm, servo-valve, industrial robot, implementation, LabWindows
environment
Title of the Paper:
Investigation of Facial Artifacts on Face Biometrics using Eigenface based
Single and Multiple Neural Networks
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Authors:
K. Sundaraj
Abstract: Biometrics has been an important issue pertaining to security in the
last few decades. Departments or agencies entrusted with national security are
increasingly installing surveillance cameras in strategic or critical areas to
monitor the identities of the general public. Upon locating suspicious
characters in the video feed, they are compared with existing databases to
find a match. These databases are generally compiled from the National
Registration Department (NRD), Immigration, intelligence agencies, etc.
Unfortunately, as mentioned in most reports of tragic events, suspicious
characters do not resemble anything like what has been stored in the
databases. There is a high chance that the face biometric identification
software will miss these culprits. In this paper we propose to investigate the
effects of facial artifacts on the recognition rate of eigenface based neural
networks. It has been found that eigenfaces coupled with Euclidean distance
can be successfully used to recognize the human face in almost real-time.
However, facial artifacts can cause the features that characterize a face to
be distorted. Hence, it is desirable to identify problematic facial artifacts
that can cause false identification or no identification. The main focus of
this paper is the investigation of common facial artifacts on the performance
of recognition and the proposition of modification to existing databases to
improve the positive rate of identification. A professional graphic artist was
used to modify the images used in the experiments. We use a single and
multiple eigenface based neural network as the classifier in our experiments.
Keywords:
Face Biometrics, Face Recognition, Eigenfaces, Facial Artifacts
Title of the Paper:
Study on Effects of Nonholonomic Constraints on Dynamics of a New Developed
Quadruped Leg-Wheeled Passive Mobile Robot
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Authors:
Libo Song, Yanqiong Fei, Tiansheng Lu
Abstract: A new passive wheel type leg-wheeled hybrid mobile robot based on
surface motion principle was introduced. To produce the propulsion force, a
passive wheel was installed at the end of the parallel mechanism structured
leg connecting with the frame-body to make the wheel vertical to the ground at
any time. With the inertia framework, the robot framework and some
assumptions, two forms of Maggie Equation to model the nonholonomic constraint
systems were derived from the Lagrangean Equation. To determine the effect of
nonholonomic constraints on dynamics of the robot, the matrix method was used
to calculate the Lagrangean multipliers together with the Routh Equation. Upon
an Atmega8 MCU-based logic control system, the straightline skating
experiments and the turning experiments were conducted with the prototype
machine and effects of nonholonomic constraints were analyzed. Last, some
conclusions were drawn.
Keywords:
QLWIS robot, nonholonomic constraint, dynamic analysis, Maggie equation
Title of the Paper: The
Robot Hybrid Position and Force Control in Multi-Microprocessor Systems
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Authors:
Luige Vladareanu, Ion Ion, L. Marius Velea, Daniel Mitroi
Abstract: This paper shows a new robot hybrid position and force control of
walking robots in multimicroprocessor system in order to obtain high
performances. For this purpose kinematics and kinetostatics analysis are
performed, and the mathematic model of the inverted kinematics is determined
for controlling the main trajectory of the robot. The method of computation in
real time of the inverse Jacobean matrix, topology of transducers networks and
the data flux corresponding to implementation of the multi-microprocessor
system for path control of industrial robots is presented. Related to this
there is presented an Open Architecture system for the robot position control
in Cartesian coordinates through real time processing of the Jacobean matrix
obtained out of the forward kinematics using the Denevit-Hartenberg method and
calculating the Jacobean inverted matrix for feedback. The obtained results
prove a significant reduction of the execution time for the real time control
of robot’s position in Cartesian coordinates and increased flexibility.
Keywords:
Real-time digital processing, hybrid position-force control, compliance
function, multi-microprocessor system
Title of the Paper:
Tuning of Fractional PID Controllers Using Adaptive Genetic Algorithm for
Active Magnetic Bearing System
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Authors:
Long-Yi Chang, Hung-Cheng Chen
Abstract: This paper proposes a novel adaptive genetic algorithm (AGA) for the
multi-objective optimization design of a fractional PID controller and applies
it to the control of an active magnetic bearing (AMB) system. Different from
PID controllers with three constants, the fractional PID controller’s
parameters are composed of proportional constant, integral constant,
derivative constant, derivative order and integral order. The fractional PID
controller is more flexible and gives the possibility of adjusting more
carefully the closed-loop system characteristics. However, its design becomes
more complex than that of conventional integer order PID controller. An
adaptive genetic algorithm is proposed to design the fractional PID
controller. The five parameters of the fractional PID controller are selected
as parameters to be determined. The dynamic model of an AMB system for axial
motion is also presented. The simulation results of this AMB system show that
a fractional PID controller designed via the proposed AGA has good
performance.
Keywords:
Active Magnetic Bearing, Adaptive Genetic Algorithms, Fractional PID
Controller
Issue
2, Volume 8, February 2009
Title of the Paper:
Refined Binary Particle Swarm Optimization and Application in Power System
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Authors:
Po-Hung Chen, Cheng-Chien Kuo, Fu-Hsien Chen, Cheng-Chuan Chen
Abstract: This paper presents new solution methods and results based on a
refined binary particle swarm optimization (RBPSO) for solving the
generation/pumping scheduling problem within the power system operation with
pumped-storage units. The proposed RBPSO approach combines a basic particle
swarm optimization (PSO) with binary encoding/decoding techniques. Complete
solution algorithms and encoding/decoding techniques are proposed in the
paper. The optimal schedules of both pumped-storage and thermal units are
concurrently obtained within the evolutionary process of evaluation functions.
Significantly, no hydro-thermal iteration is needed. The proposed approach is
applied with success to an actual utility system, which consists of four
pumped-storage units and 34 thermal units. The results indicate the attractive
properties of the RBPSO approach in practical application, namely, a highly
optimal solution cost and more robust convergence behavior.
Keywords:
Refined binary particle swarm optimization, Power system, Pumped-storage
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:
Controlled Operation of Variable Speed Driven Permanent Magnet Synchronous
Generator for Wind Energy Conversion Systems
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Authors:
Rajveer Mittal, K. S. Sandhu, D. K. Jain
Abstract: The introduction of distributed generation through renewable sources
of energy has opened a challenging area for power engineers. As these sources
are intermittent in nature, variable speed electric generators are employed
for harnessing electrical energy from these sources. However, power electronic
control is required to connect these sources to the existing grid. The grid
interconnection issues are to be dealt with before connecting these to the
local grid. Power conditioners using self commutating devices are necessary to
have grid friendly inverters. In this paper, the MATLAB based simulation
studies have been done to realize a grid friendly inverter system for
harnessing energy from a variable speed wind energy system. The system is
designed for low harmonic injection into the grid and fast control of voltage
so as to meet the IEEE standard-1547 requirements.
Keywords:
Power Conditioners, Power Quality, Variable Speed Generators, Wind Energy,
Permanent Magnet Synchronous Generator
Title of the Paper:
Metaheuristic Approach to Assembly Line Balancing
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Authors:
Supaporn Suwannarongsri, Deacha Puangdownreong
Abstract: In this paper, the metaheuristic method consisting of the adaptive
tabu search (ATS) and the practicing heuristic (PH) technique is proposed to
provide optimal solutions of the assembly line balancing (ALB) problems. With
the multi-objective approach, the ATS is used to address the number of tasks
assigned for each workstation, while the PH is conducted to assign the
sequence of tasks for each workstation according to precedence constraints.
The proposed approach is tested against six benchmark ALB problems suggested
by Scholl and one real-world ALB problem. Comparisons of optimal results
obtained by the proposed method with those obtained by the single objective
approach are elaborated.
Keywords:
Assembly line balancing, metaheuristic approach, adaptive tabu search,
multi-objective function
Title of the Paper:
Properties of Fuzzy Systems
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Authors:
Constantin Volosencu
Abstract: The paper presents a short review of some main properties of the
most general fuzzy systems used in a large class of practical applications.
The fuzzy systems, implemented using different rule bases, fuzzy values,
membership functions, fuzzyfication and defuzzification methods, may be
classified based on these fuzzy methods used in their development. This paper
proposes a unitary theory for describing Mamdani fuzzy controllers based on
their characteristics. Fuzzy rules bases may be seen as fuzzy applications
between fuzzy sets. These rule bases have algebraic properties as: commutative
law, neutral element and symmetric elements. The fuzzy systems may be
analytical described with MISO, SISO and gain transfer characteristics, which
may be calculated using computer programs. The fuzzy systems have algebraic
properties as: commutative law and symmetric elements. These algebraic
properties may be noticed on their transfer characteristics. The fuzzy systems
have a variable gain with their inputs. Some gain characteristics values are
presented. The rule bases and the fuzzy systems have the sector property. The
paper emphasizes, based on the transfer characteristics, planar and spatial
sector properties useful in stability analysis with Lyapunov techniques. The
transfer characteristics, system linear characteristic around the origin and
the gain in origin are usefull in the design of fuzzy PID controllers. Based
on transient characteristics of fuzzy control systems some quality criteria
are presented. The fuzzy systems used in control assure better control quality
criteria and a greater robustness at disturbances effects and at the error at
the identification of controlled processes parameters.
Keywords:
Fuzzy systems, fuzzy logic, nonlinear systems, algebraic properties, absolute
global internal stability, fuzzy controllers, empirical control quality
criteria, system robustness, circle criterion, fuzzy PID controllers
Title of the Paper:
Possibilistic Pattern Recognition in a Digestive Database for Mining
Imperfect Data
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Authors:
Anas Dahabiah, John Puentes, Basel Solaiman
Abstract: We propose in this paper a method based, on the one hand, on
possibility theory to calculate the similarity among the objects of any
casebase, taking into account the imperfection and the heterogeneity of data,
and based, on the other hand, on the geometric models like the linear and the
circular unidimensional scaling and on the graphic models like the ultrametric
trees in order to represent and to visualize this similarity in such a way
that we can explore and discover the potential structures and patterns that
exist in the data. This approach will be applied to an endoscopic casebase in
order to recognize the lesions and the pathologies of this base, and several
concrete examples will be given along the paper in order to clarify the
mathematical concepts of the method.
Keywords:
Similarity, Possibility Theory, Linear and Circular Unidimensional Scaling,
Ultrametric Trees Endoscopic Images, Data Mining
Title of the Paper:
Some Numerical Experiments on Multi-criterion Tabu Programming for Finding
Pareto-optimal Solutions
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Authors:
Jerzy Balicki
Abstract: Decision making for complex systems is based on
multi-criterion-optimization. A decision making support can be applied to find
the Pareto solutions. Multi-criterion tabu programming is a new paradigm for
that task. Similarly to rules applied in the genetic programming, tabu
programming solves problems by using a tabu algorithm that modifies some
computer programs. We consider the multi-criterion problem of task assignment,
where both a workload of a bottleneck computer and the cost of system are
minimized; in contrast, a reliability of the distributed system is maximized.
Furthermore, there are constraints for the performance of the distributed
systems and the probability that all tasks meet their deadlines. What is more,
constraints related to memory limits and computer locations are imposed on the
feasible task assignment. Finally, results of some numerical experiments have
been presented.
Keywords:
Tabu search algorithm, multi-criterion optimization, genetic programming
Title of the Paper:
Lane Marker Parameters for Vehicle's Steering Signal Prediction
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Authors:
Andriejus Demcenko, Minija Tamosiunaite, Ausra Vidugiriene, Leonas Jakevicius
Abstract: The work considers road lane parameters that correlate with steering
angle of a car and which are suitable for accurate prediction of steering
signal using neural network technique. Four different parameters, which can be
used in driver’s assistance system and are based on position, angles and
curvature of the lane marker, are proposed and their correspondence to
steering signal is analyzed. The steering signal is predicted with the
precision of 95% to 97%, depending on a combination of the visually-based
parameters provided for the neural network. The work is performed using
signals from real road driving.
Keywords:
Steering signal, lane marker, vehicle, correlation, human-like driving, neural
network
Title of the Paper:
A Novel Control Strategy for Dynamic Voltage Restorer using Decoupled
Multiple Reference Frame PLL (DMRF-PLL)
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Authors:
Lin Xu, Yang Han, M. M. Khan, Lidan Zhou, Gang Yao, Chen Chen, Jumin Pan
Abstract: This paper presents a new control scheme for dynamic voltage
restorer (DVR), which consists of a set of series and shunt converters
connected back-to-back (BTB), three series transformers, and a dc capacitor
installed on the common dc-link. The DVR is characterized by installing the
shunt converter on the source side and the series converter on the load side.
A decoupled multiple reference frame phase-locked-loop (DMRF-PLL) is proposed,
which decouples signals of different frequencies and eliminates interactions
between the fundamental-frequency positive-sequence components and harmonic
and/or negative-sequence components in the grid voltages. The proposed
DMRF-PLL scheme achieves a fast, precise, and robust positive-sequence voltage
detection even under unbalanced and/or distorted grid voltages conditions. A
detailed description and derivation of the detection method is presented.
Besides, a separate proportional-integral (PI) controller is adopted to
regulate the dc-link capacitor voltage. The load voltage waveform is restored
to be sinusoidal with fundamental frequency by dynamically injecting
compensating voltages to the series brunch of converters. The validity and
effectiveness of the presented scheme has been confirmed by extensive
simulation results obtained from a 380V/50kVA system using Matlab/Simulink.
Keywords:
Dynamic voltage restorer, decoupled multiple reference frame phase locked loop
(DMRF-PLL), voltage sag detection, dc capacitor control, series converters,
shunt converters, harmonic and unbalanced voltage compensation
Title of the Paper:
Active Suspension System with Linear Electric Motor
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Authors:
Katerina Hyniova, Antonin Stribrsky, Jaroslav Honcu, Ales Kruczek
Abstract: Suspension system is an important part of the car design, because it
influences both the comfort and safety of the passengers. In this paper an
active suspension using linear electric motor is designed. This article is
also focused on experiments with active suspension – developing an appropriate
input signal for the test bed and evaluation of the results. Second important
aspect of the active suspension design is energy demand of the system.
Modification of the standard controller which allows changing amount of energy
required by the system has been designed. Performance of the modification was
verified taking various experiments.
Keywords:
Robust control, active vehicle suspension, linear motors, energy control
Title of the Paper:
Affine Group Linear Operator-based Channel Characterization for Mobile Radio
Systems
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Authors:
Uche A. K. Okonkwo, Razali Ngah, Tharek A. Rahman
Abstract: Mobile radio channel characterization using linear operators of
affine group is presented. The foundation of this approach is primarily based
on the natural extension of basic concepts of time-scale representations of
wavelet-type to the analysis and representation of the nonstationarity
associated with the real-time mobile radio channel. We provide an
operator-based characterization initiated by the need to present an intuitive
and physical approach towards describing and representing the various effects
of the channel. The concepts of delay-scale spreading function and operator as
well as delay-scale scattering function and operator is introduced. We
established the relationship between the continuous wavelet transform and
these functions/operators by employing the powerful tool of group theory. We
also derived canonical expression for the corresponding channel by
discretizing the channel using frame concept. The practical relevance of our
approach is illustrated via deterministic examples and the associated
simulations.
Keywords:
Channel characterization, mobile radio channel, nonstationary channel,
time-frequency operator, time-scale operator, Fourier kernel, wavelet
transform
Title of the Paper:
NaXi Pictographs Information Processing System
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Authors:
Guo Hai, Zhao Jing-Ying
Abstract: This Paper describes a NaXi pictographs information processing
system we developed for different applications. It sets a basis for
computerization of NaXi pictographs. Basic NaXi pictographs information
processing Font, IME (Input Method Editors) and corresponding application
software have been realized. This sets an end to the history that the NaXi
pictographs can’t be handled with computers. It will greatly promote the
computerization process of the minority languages.
Keywords:
NaXi pictographs, information processing, outlines font, IME (Input Method
Editors), embedded font, WEFT
Title of the Paper:
A Method for Color Classification of Fruits based on Machine Vision
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Authors:
Changyong Li, Qixin Cao, Feng Guo
Abstract: A dominant color histogram matching method for fruits classification
was presented in this paper. In classification of fruits based on machine
vision, image was acquired with a color CCD camera that outputted color
information in three channels, red, green, and blue. Because traditional RGB
color space couldn’t meet subjective color sensation of human being, so color
image needed to be transformed from RGB to HSV color space which represented
human being's subjective color knowledge. However, the conversion result was
still three-dimensional information that made determining color grades very
difficult. A new color space conversion technique that could be implemented
for high-speed real-time processing for color grading was introduced in this
paper. The result of this technique was a simple one-dimensional array that
represented different color levels .These colors were known as dominant colors
of fruits. The technique reduced computation consumption greatly. Color
histogram as a statistical feature had visual invariance and high robustness.
The dominant color histogram matching method was used for color grading. Grade
judgment result was given by calculating and comparing the similarity between
the inspected sample histogram and standard template histogram for every
grade, fruit sample would be assigned to the grade whose template had the
biggest similarity with it. Experiment results show that dominant color
histogram matching method has high accuracy in fruits’ color classification.
Keywords:
Fruit classification, color grading, color classification, histogram matching,
dominant color, machine vision, feature extraction
Issue
3, Volume 8, March 2009
Title of the Paper:
Evaluation of Two Integer Ambiguity Resolution Methods for Real Time GPS
Positioning
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Authors:
Leandro Baroni, Helio Koiti Kuga
Abstract: The Global Positioning System (GPS) is a satellite-based navigation
system which allows the user to determine position and time with high
precision. However, phase measurements has an inherent difficulty, which is
the ambiguity determination in number of signal wavelengths. Once ambiguities
are resolved to an integer value, positioning can reach sub-meter level in
accuracy. Sub-meter positioning accuracy is required in many applications,
such as aircraft navigation and landing, attitude and orbit determination of
satellites, navigating agricultural vehicles, among others applications. The
purpose of this work is to evaluate performance of LSAST and LAMBDA methods
for real time integer ambiguity resolution in situations of static and
kinematic positioning. Position coordinates of a GPS receiver (“user”) are
estimated using data of another receiver placed on a landmark with known
coordinates (“base”), using phase double difference positioning technique, and
an iterated least-squares as float solution estimator. Positioning errors are
shown with half meter level for static and less than meter level for kinematic
positioning.
Keywords:
Ambiguity resolution, LSAST method, LAMBDA method, Least-squares, Relative
positioning
Title of the Paper:
Implications of the Application of Recursive Least Squares Algorithms to
Satellite Orbit Determination using GPS Measurements
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Authors:
Paula Cristiane Pinto Mesquita Pardal, Helio Koiti Kuga, Rodolpho Vilhena De
Moraes
Abstract: The main target here is to determine the orbit of an artificial
satellite and to analyze its implications, using least squares algorithms
through sequential Givens rotations as the method of estimation, and data of
the GPS receivers. This approach longs for to improve the performance of the
orbit estimation process and, at the same time, to minimize the computational
procedure cost. Perturbations due to high order geopotential and direct solar
radiation pressure were taken into account. The position of the GPS antenna on
the satellite body that, lately, consists of the influence of the satellite
attitude motion in the orbit determination process, was also considered. An
application has been done, using real data from the Topex/Poseidon satellite,
whose ephemeris were available. In a process of high accuracy orbit
determination, frequently a sinusoidal residual behavior is observed during
its error analysis. Actually, it is the result of unmodeled residual
accelerations, which present frequencies near or multiple to the satellite
period and appear by different reasons. Assuming that we cope with the
unmodeled accelerations, which have no direct physical reasons, or that the
modeling effort is not worthwhile, such accelerations will also be analyzed,
empirically.
Keywords:
Estimation, GPS Measurements, Least Squares Algorithms, Orbit Perturbation,
Satellite Orbit Determination, and Unmodeled Accelerations
Title of the Paper:
Case-based Systems in Health Sciences - A Case Study in the Field of Stress
Management
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Authors:
Shahina Begum, Mobyen Uddin Ahmed, Peter Funk
Abstract: Now-a-days medical domain is a popular area for the artificial
intelligence (AI) research. Many of the early AI systems were attempted to
apply rule-based reasoning in developing computer-based diagnosis system in
medical domain. However, for a broad and complex medical domain the effort of
applying rule-based system has encountered several problems. Today many
systems are serving multi-purpose i.e. tend to support not only in diagnosis
but also in number of other complex tasks and combining more than one AI
techniques in the health care domain. In this paper, we will investigate the
state-of-the art of casebased reasoning (CBR), a recent AI method in the
medical domain. A case study in the stress medicine domain is presented here.
Today stress has become a major concern in our society. The demand of the
decision support system (DSS) in stress domain is increasing rapidly. However,
the application of DSS in this domain is limited so far due to the weak domain
theory. In our on going research, we have proposed a solution analyzing the
relation between stress and finger temperature using case-based reasoning and
other AI techniques namely case-based reasoning, textual CBR, rule-based
reasoning, and fuzzy logic to support classification and diagnosis in stress
management.
Keywords:
Case-based reasoning, Medical domain, Stress, Fuzzy logic, Classification and
Diagnosis
Title of the Paper:
Toward Effective Initialization for Large-Scale Search Spaces
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Authors:
Shahryar Rahnamayan, G. Gary Wang
Abstract: Nowadays, optimization problems with a few thousands of variables
become more common. Populationbased algorithms, such as Differential Evolution
(DE), Particle Swarm Optimization (PSO), Genetic Algorithms (GAs), and
Evolutionary Strategies (ES) are commonly used approaches to solve complex
large-scale problems from science and engineering. These approaches all work
with a population of candidate solutions. On the other hand, for
high-dimensional problems, no matter what is the individuals’ distribution,
the population is highly sparse. Therefore, intelligent employment of
individual candidates can play a crucial role to find optimal solution( s)
faster. The most majority of population-based algorithms utilize pseudo-random
population initialization when there is no a priori knowledge about the
solution. In this paper, a center-based population initialization is proposed
and investigated on seven benchmark functions. The obtained results are
compared with the results of Normal, Pseudo Random, and Latin Hypercube
population initialization schemes. Furthermore, the advantages of the proposed
center-based sampling method are investigated by a mathematical proof and also
Monte Carlo (simulation) method. The detailed experimental verifications are
provided for problems with 50, 500, and 1000 dimensions.
Keywords:
Population Initialization, Center-Based Sampling, Evolutionary Algorithms,
High-Dimensional Search Spaces, Large-Scale Problems
Title of the Paper:
Fuzzy Multiobjective Optimization Modeling with Mathematica
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Authors:
Andre A. Keller
Abstract: In the real situations, decision makers are often faced to a
plurality of objectives and constraints in a world of imprecise data about the
preferences of agents, the local constraints and the global environment. In a
fuzzy environment, fuzzy linear programming (FLP) and fuzzy goal programming (FGP)
problems incorporate fuzzy objective functions and constraints, fuzzy
parameter and variable sets. Mathematical operators are used to aggregate the
fuzzy objective functions and constraints. The optimal solution corresponds to
the maximum degree of the membership function in the decision set. The
resolution of the multiobjective FLP consists in reducing the vector
optimization of objective functions to a single objective. Weighted goal
programming problems consider the relative importance of objectives. This
contribution surveys essential techniques with numerical applications to
simple economic problems. The computations are carried out using the software
Mathematicar 7.0.1 and the subpackage Fuzzy Logic 2, from which selected
primitives are proposed.
Keywords:
Fuzzy linear programming problem, membership function, decision set,
multiobjective optimization
Title of the Paper:
Stability of a Complex Network of Euler-Bernoulli Beams
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Authors:
Kui Ting Zhang, Gen Qi Xu, Nikos E. Mastorakis
Abstract: A complex network of Euler-Bernoulli beams is studied in this paper.
As for this network, the boundary vertices are clamped, the displacements of
the structure are continuous but the rotations of different beams are not
continuous at the interior vertices. The feedback controller are designed at
the interior nodes to stabilize the elastic system. The well-posed-ness of the
closed loop system is proved by the semigroup theory. By complete spectral
analysis of the system operator, the distribution of spectrum, the
completeness and the Riesz basis property of the roots vectors of the system
operator are given. As a consequence, the asymptotical stability of the system
is derived under certain conditions.
Keywords:
Euler-Bernoulli beam, network, spectral analysis, stability
Title of the Paper:
Coupled Evolutionary Shape Optimization and Reverse Engineering in Product
Design and Virtual Prototyping
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Authors:
Damir Vucina, Zeljan Lozina, Igor Pehnec
Abstract: Product development in highly competitive times frequently implies
very short time-to-market deadlines and product designs that need to deliver
high performance at low investment and operation costs. These conflicting
objectives can sometimes be accomplished by starting from existing designs and
optimizing for better performance defined by some set of excellence criteria.
This paper develops a systematic procedure that starts by using a 3D scan of
the existing design, defines an efficient shape parameterization for the part
of the object that shall be redesigned, and develops an evolutionary shape
optimization model. This is accompanied by developing a numerical workflow to
handle this demanding process and an implementation that provides solutions in
reasonable computer time. The workflow is developed based on existing
specialized applications for geometric modeling, numerical analysis,
finite-element simulations, and optimization, and therefore makes a rather
heterogeneous system. It uses and runs different applications on the
‘as-needed’ basis and provides for corresponding synchronization and data
mining. The procedure is in this paper applied to the optimum design of 2D
airfoils for wind-turbine blades.
Keywords:
Shape optimization, reverse engineering, numerical workflow
Title of the Paper:
Calibration of High Voltage Transducers for Power Quality Measurements
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Authors:
Hedio Tatizawa, Erasmo Silveira Neto, Geraldo F. Burani, Antonio A. C. Arruda,
Kleiber T. Soletto, Nelson M. Matsuo
Abstract: Transmission and distribution networks are increasingly affected by
sensitive loads, considering the increase of power electronics based equipment
and devices. For keeping under control power quality parameters, for instance,
harmonics, sags, swells, flicker, reliable measurements performed at high
voltage level are necessary. This kind of measurement is performed using high
voltage transducers. Considering present technical standards on this subject,
for instance IEC 61000 series [1] and ANSI/IEEE Standards, one can find that
calibration procedures for transducers, are not yet defined in those
standards. This paper proposes calibration procedures and an experimental
setup for generation of the required high voltage waveforms, and shows an
example of calibration performed in a real high voltage transducer.
Keywords:
High voltage transducers, capacitive voltage dividers, power quality
measurements, harmonics, IEC 61000 series, high voltage
Title of the Paper:
Methodology for Assessment and Optimization of Induction Electric Motors
Aiming Energy Conservation, Aided by Computer Simulation
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Authors:
Mario Cesar E. S. Ramos, Hedio Tatizawa, Geraldo F. Burani, Mario Cesar G.
Ramos
Abstract: This paper shows a methodology for assessment and optimization of
induction electric motors aiming energy conservation, through substitution of
older electric motors by high-efficiency ones, including motor resizing, aided
by computer simulation. Energy Diagnosis aims to provide the client with a
decrease in electric energy costs, not only a decrease in demand, but as well
as a decrease in consumption. This study and its application were carried out
through the Electric Energy Efficiency Program promoted by the Brazilian
Electric Energy Agency. These programs, which can be financed by the
utilities, arouse the interest for the implementation of energy efficiency
projects. Once the electric motor is an equipment of final use strongly
present at industry, it is subject to new substitution, bringing satisfactory
results when the diagnosis is carried out in a consistent way and following
coherent procedures for its validation. The methodology adopted for the
substitution of these motors included an initial study, by means of
measurements of electrical parameters, through the use of a power quality
analyzer. Afterwards, by using a particular simulation software, the operating
conditions of the electric motor and the expected economy obtained by the use
of high-efficiency motors were estimated. When necessary, the motor resizing
analysis provides the best rated power for the drive. The motor substitutions
carried out in this motor drives efficiency improvement program resulted in
yearly savings of 3.1 GWh, equivalent to 4.52% of the previously required
energy.
Keywords:
Electric energy conservation, power quality analyzer, high-efficiency motor,
motor resizing, simulation software, payback period
Title of the Paper:
Multitarget Tracking Algorithms Using Angle Innovations and Extended Kalman
Filter
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Authors:
Sheng-Yun Hou, Hsien-Sen Hung, Yuan-Chang Chang, Shun-Hsyung Chang
Abstract: In this paper, we propose a novel angle tracking algorithm, called
as FPAT, for tracking multiple narrowband targets. The proposed algorithm
modifies the algorithm presented by Park, et al. in two ways by using the
sensor array output vector rather than the sample covariance matrix and by
incorporating the extended Kalman filter instead of a simple Kalman filter. It
also applies the prediction characteristic of Kalman filter to prevent the
data association problem. The proposed algorithm requires lower computational
complexity and also improves the tracking performance especially at lower
number of snapshots. Combined with the coherent signal-subspace (CSS) method,
the FPAT algorithm is extended to track the direction-of-arrival angles of
wideband sources. We also extend the FPAT algorithm to track the range,
azimuth, and elevation of each narrowband source in 3-D space. Through
computer simulations, the effectiveness of each proposed algorithm is
verified.
Keywords:
Array signal processing, Angle tracking, Extended Kalman Filter (EKF),
Direction of arrival
Title of the Paper:
Computer Vision System for Human Anthropometric Parameters Estimation
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Authors:
Ivo Stancic, Tamara Supuk, Mojmil Cecic
Abstract: In this paper we have proposed and evaluated a new method for human
anthropometric parameters estimation. Method is planed to be simple and fast,
thus suited for examiners with no experience in the anthropometric
measurements. An anthropometric data obtained by this method, segments masses
and lengths, are primarily used for biomechanics applications, but could be
adapted to other fields, as well. Estimates of segment inertial properties are
frequently based on data and procedures developed for human cadavers in whom
inertial properties have been measured directly, using complicated and time
consuming procedures. For that reason, we have designed a measurement system
that consists of singe digital camera, PC and requires simple experimental
set–up with a few considerations. Proposed method comes with some
disadvantages, due to which it could be rather used as an estimation tool than
as a highly-precise measurement procedure of anthropometric parameters.
Measurement using proposed method is completely contactless with the subject,
which result in minimizing examiners physical intervention and considerable
reduction of time required for measurements. Therefore, measurement procedure
is adopted to be executed on a large number of subjects in short time. An
algorithm was developed that creates 3D model of the human body using only
data obtained from 2D subject’s image, and ellipses as basic building objects.
Finally, results of anthropometric body parameters obtained for three subjects
were compared with referent anthropometric data and manual measurement.
Keywords:
Biomechanics, human anthropometry, computer vision, image processing
Issue
4, Volume 8, April 2009
Title of the Paper:
The Problems of Camera Measurements in Tracking-Error Fuzzy Control of Mobile
Robots
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Authors:
Saso Blazic, El-Hadi Guechi, Jimmy Lauber, Michel Dambrine, Gregor Klancar
Abstract: This paper deals with Takagi-Sugeno modelling and control of
nonholonomic mobile robots in the case when the measurements are given by the
camera. The measurements in such case are difficult to deal with: they are
given only in discrete time samples, usually they are delayed, a high-level
noise is present on the measurements. The nonlinear tracking error-model is
solved analytically under the premise of ZOH present at the system input. The
nonlinear discrete model is developed. Several discretization issues are
discussed and the modelling errors are analysed. The sector nonlinearity
approach is used for constructing the Takagi-Sugeno model. The control is
designed in the LMI framework. Some performance issues are discussed on the
simulation cases.
Keywords:
Takagi-Sugeno, PDC control, Mobile robot, Kinematic model, Discretization,
Delay, Decay rate
Title of the Paper:
Stabile Algorithms Switching for Multiple Models Control Systems
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Authors:
Lupu Ciprian, Udrea Andreea, Popescu Dumitru, Flutur Cristian
Abstract: Multiple models structure represents one of the successful solutions
for the real-time control of the nonlinear or multi-regime processes. Best
algorithm/model selection, switching between control algorithms etc. are the
main problems of these structures. The switching issue is a theoretical and
practical study subject for a lot of recently researches. The paper proposes
some supplementary conditions that assure a correct real-time functioning in
terms of stability for multiple models structures. The applicability of the
method is proved using an RST control algorithm. In the end, its software
implementation is also shown.
Keywords:
Real-time multi-model control systems, stabile switching algorithm
Title of the Paper:
A Hybrid Grey & ANFIS Approach to Bullwhip Effect in Supply Chain Networks
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Authors:
Hakan Tozan, Ozalp Vayvay
Abstract: Demand forecasting and decision making processes are among the key
activities which directly affect the performance of successful supply chain
networks. The variability of the demand information between the stages of the
supply chains and the increase in this variability as the demand data moves
upstream from the customer to consequent stages of the supply chain networks
is called Bullwhip Effect. As demand pattern varies due to the field of
activity and architecture of supply chains networks, determining the
appropriate forecasting and order decision model for system interested in is
complicated. This paper analyzes the response of bullwhip effect to a hybrid
grey GM (1, 1) forecasting and ANFIS based order decision model under demand
with relatively medium variation in a two stage supply chain network
simulation.
Keywords:
Forecasting, Supply chain network, Bullwhip effect, ANFIS, Grey GM (1, 1)
Title of the Paper:
A New Motion Management Method for Lung Tumor Tracking Radiation Therapy
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Authors:
Noriyasu Homma, Masao Sakai, Haruna Endo, Masatoshi Mitsuya, Yoshihiro Takai,
Makoto Yoshizawa
Abstract: We propose a new motion management method for lung tumor tracking
radiotherapy by using a novel time series prediction technique. In
radiotherapy, the target motion often affects the conformability of the
therapeutic dose distribution delivered to thoracic and abdominal tumors, and
thus tumor motion monitoring systems have been developed. Even we can observe
tumor motion accurately, however, radiotherapy systems may inherently have
mechanical and computational delays to be compensated for synchronizing dose
delivery with the motion. For solving the delay problem, we develop a novel
system to predict complex time series of the lung tumor motion. An essential
core of the system is an adaptive prediction modeling with a phase locking
technique by which timevarying cyclic dynamics is transferred into a time
invariant one. Simulation studies demonstrate that the proposed system can
achieve a clinically useful high accuracy and long-term prediction of the
average error 1.05 ± 0.99 [mm] at 1 [sec] ahead prediction.
Keywords:
Time series prediction, adaptive modeling, radiation therapy, lung tumor, and
motion management
Title of the Paper:
An Acoustical Study of High Speed Train Transits
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Authors:
J. Quartieri, A. Troisi, C. Guarnaccia, T. Lenza, P. D'Agostino, S. D'Ambrosio,
G. Iannone
Abstract: In this paper, the comparison between experimental acoustical data
and predictive software simulation is performed. The area under investigation
contains a high velocity railway and it is very interesting in terms of
geometrical features and environmental conditions. In a recent paper, the
experimental campaign has been presented and a preliminary model has been
tested with that measurements. In this work, we continue this analysis
approaching an acoustical predictive software, CadnaA by Datakustik, and
checking its response with respect to the experimental data. The need of a
precise modelling is underlined, since the results of acoustical simulations
are strongly affected by the number of sources included and their sound power
level. Particular emphasis is also given to the representation of results,
focusing on the production of “easy to read” maps. In the last part of the
paper, noise coming from high velocity trains has been modeled as noise coming
from simple geometrical elements, such as points and segments. The comparison
between these simulated values and the experimental data is performed and
appears to be an interesting basis for forthcoming studies.
Keywords:
High speed train, noise detection, simulation model, predictive software
Title of the Paper:
Baseline Extraction Algorithm for Online Signature Recognition
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Authors:
Azlinah Mohamed, Rohayu Yusof, Shuzlina Abdul Rahman, Sofianita Mutalib
Abstract: In this paper, we discuss baseline extraction algorithm for online
signature recognition based on vector rules. In order to recognize, verify and
analyze a signature, one needs to establish the feasible computational
signature features which would be required to be extracted. The main features
in this case are direction, slant, baseline, pressure, speed and numbers of
pen ups and downs. Method of extracting features signature depends on the
requirement features to be extracted. In this paper, we propose the
construction of an algorithm to extract the baseline from signature.
Signatures are taken from twenty randomly selected individuals with different
background. In order to validate the algorithm, the capture image of each
signature is use as samples for a developed questionnaire to be given to human
expert. These questionnaires are all about identifying the baseline of the
signatures. Both results from automatic baseline detector and the
questionnaire are compared, and it shows that the algorithm is 90% accurate.
It can be concluded that the algorithm proposed are acceptable to represent
extraction of signature features based on baseline.
Keywords:
Automatic Signature Identification, Baseline Extraction Algorithm, Dynamic
Signature, Signature Analysis
Title of the Paper:
Applying Fuzzy Engineering Economics to Evaluate Project Investment
Feasibility of Wind Generation
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Authors:
J. N. Sheen
Abstract: In this paper, a fuzzy engineering economic decision model is
derived to evaluate the investment feasibility of wind generation project. A
straightforward vertex parameters’ fuzzy mathematics operation using the
function principle is derived as an alternative to the traditional extension
principle, and is applied to evaluate a number of different economic decision
indexes. Compared to the extension principle, the function principle is simple
to implement and is conceptually straightforward. Using Mellin transform, the
geometric moments of the fuzzy economic indexes are established in order to
determine their relative ranking as part of a decision-making process. The
performance of the proposed fuzzy economic model is verified by considering
their application to a practical wind generation project in Taiwan. These
investigations not only confirm that the results of the fuzzy economic model
is consistent with the conventional crisp model, but also demonstrate that the
proposed model is more flexible, intelligent and computationally efficient
compared to the extension principle fuzzy mathematics approach. The developed
model represent readily implemented feasibility analysis tool for use in the
arena of uncertain economic decision-making.
Keywords:
Function principle, Fuzzy mathematics, Mellin transform, Fuzzy ranking, Wind
electricity, Decision-making
Title of the Paper:
Patter Recognition Applied to Mouse Pointer Controlled by Ocular Movements
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Authors:
Job Ramon De La O Chavez, Carlos Aviles Cruz
Abstract: Researchers on Brain-Computer Interface (BCI) have tried to identify
the origin of body movements in humans with limited success. This work looks
at the problem using an ocular movement tracker based on ocular artifacts in
ElectroEncephalo-Graph (EEG) readings, also called Electro-Oculo-Gram (EOG).
The movements are reflected into the EEG signals, which are passed through a
multiple classifier, composed of two statistical classic methods (KNN and
Bayesian-Gauss) and a Neural Network. The voltage levels of EEG readings and
their polarity provide the necessary information to track the focus of
attention of the user in a computer screen. All of these artifacts have
characteristic curves which can be classified. Focusing on the eye movements,
we have developed an eye tracker to recover the point of attention of the user
on a computer screen.
Keywords:
BCI, EOG, Artifacts, KNN, Bayesian, Neural Network, Eye Movement
Classification
Title of the Paper:
Unified Framework for Developing Testing Effort Dependent Software
Reliability Growth Models
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Authors:
P. K. Kapur, Omar Shatnawi, Anu G. Aggarwal, Ravi Kumar
Abstract: Several software reliability growth models (SRGMs) have been
presented in the literature in the last three decades. These SRGMs take into
account different testing environment depending on size and efficiency of
testing team, type of components and faults, design of test cases, software
architecture etc. The plethora of models makes the model selection an uphill
task. Recently, some authors have tried to develop a unifying approach so as
to capture different growth curves, thus easing the model selection process.
The work in this area done so far relates the fault removal process to the
testing/execution time and does not consider the consumption pattern of
testing resources such as CPU time, manpower and number of executed test
cases. More realistic modeling techniques can result if the reliability growth
process is studied with respect to the amount of expended testing efforts. In
this paper, we propose a unified framework for testing effort dependent
software reliability growth models incorporating imperfect debugging and error
generation. The proposed framework represents the realistic case of time
delays between the different stages of fault removal process i.e Failure
Observation/Fault Detection and Fault Removal/Correction processes. The
Convolution of probability distribution functions have been used to
characterize time differentiation between these two processes. Several
existing and new effort dependent models have been derived by using different
types of distribution functions. We have also provided data analysis based on
the actual software failure data sets for some of the models discussed and
proposed in the paper.
Keywords:
Software reliability growth model, Testing effort function, Imperfect
debugging, Error generation, Convolution, Probability distribution function
Title of the Paper:
Company Information Systems Used in Decision-Making Processes of Financial
Managers
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Authors:
Renata Myskova
Abstract: Economists and IT experts share the opinion that IS/IT in a company
should be in accordance with the company objectives and management strategies;
they cannot be viewed separately. As far as the economic aspect is concerned,
there exist certain criteria that could be considered social criteria because
information system effectiveness, as well as the company effectiveness, depend
on human factor. Reference literature identifies the work with information as
a strategic factor of company’s prosperity and competitiveness. An economic
information system has recently been an inevitable prerequisite in a large or
small enterprise. The requirements relating to such system can be
characterized in the following way: competitive price, configurable and
flexible system comprising all the basic and certain extra functions essential
for information support to all the company operation. An integral part of the
system is an information accounting system supporting financial accounting
management. Accounting is the method in which financial information is
gathered, processed, and summarized into financial statements and reports.
Accounting records are important because the resulting financial statements
and reports help plan and make decisions. These records may be used by company
management and by third parties (bankers, investors, creditors, etc.). The
accounting information system has to support managerial decisions and it has
to work with external accounting modules and external database modules.
Changing accounting software is a big undertaking. It may, and should, have an
impact on almost everyone in the organization, on customers as well.
Accounting Information Systems were scanned in the empirical research and
financial managers assessed the situation in their company and their
satisfaction with these systems.
Keywords:
Economic information system, accounting information system, financial
management
Title of the Paper:
ICT in the Context of Public Sector Service Delivery: A Malaysian Perpective
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Authors:
Maniam Kaliannan, Murali Raman, Magiswary Dorasamy
Abstract: This paper examines the implementation of various e-Government
projects in Malaysia since it was launched in 1996. The paper will discusses
the challenges and issues related to these projects and suggest some
recommendations as improvement tool to uplift the e-Government program to
greater heights. Essentially our findings suggests that apart from technical
considerations, the true value potential of ICT utilization in the context of
public sector delivery in Malaysia is contingent upon several factor spanning
across legislative, procedural, managerial and organizational imperatives.
Keywords:
ICT, e-Government, MSC Malaysia
Issue
5, Volume 8, May 2009
Title of the Paper:
A Quadripolar Parameter-Based Approach of Ideal Gyrators structured on
Operational Amplifier Circuits
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Authors:
Dan George Tont, Luige Vladareanu, Gabriela Tont
Abstract: The paper approaches some aspects regarding performances
characteristics of gyrators with different circuit topology. The gyrators
behavior of a class of two-ports structured on operational amplifiers and
resistors is studied. In order to verify the theoretical predictions the
analytical quadripolar parameters are bridged with the experimental one
numerical by the means of a Pspice simulation. The gyrator equations express
the instantaneous behavior of switching power converters, averaged over one
switching cycle. Any dc-dc switching power converter meet the requirements of
closed-loop control of output voltage or current. There are many ways to
design a physical system with gyrator behavior like. Some gyrators are based
on various physical effects, like the Hall-effect, other gyrators are created
using electronically devices, like operational amplifiers. All these synthesis
operate time-continuously.
Keywords:
Gyrator, quadripolar circuits, antireciprocal, , two-ports, operational
amplifier
Title of the Paper:
Onsager-Casimir Antireciprocity Relations for the Hall Gyrators Analysis
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Authors:
Dan George Tont, Luige Vladareanu, Gabriela Tont
Abstract: The paper focuses on the analysis of characteristics of driving
point impedance for a lossy gyrator. For a gyrator, the ratio between
short-circuit input resistance and open-circuit input resistance is always
greater then unity. The antireciprocity of the Hall transducer is a natural
phenomenon and its results from investigation of transfer resistances. Is
known that for a certain value of magnetic induction, in general, transfer
resistances are not equal. In other words, Hall transducer is a passive
non-reciprocal circuit. In certain circumstances, however, when Hall plate
does have voltage zero, (constructively, electrodes are disposed on the same
equipotential surface with zero inductance) transfer resistances are equal in
value, but have opposite sign. In these cases we are talking about behavior of
Hall transducer as antireciprocal circuit, respectively as a gyrator. Gyrators
are a class of antireciprocal resistive two-ports. The findings are concerning
and the locus of the input equivalent impedance An assessment of Hall
generator behavior regarded as a circuit element and particularly as a gyrator
was performed by the means of experimentally validation Onsager-Casimir
relation.
Keywords:
Hall transducer, antireciprocal, gyrator, two-ports
Title of the Paper:
Design of Series-parallel Hybrid Electric Propulsion Systems and Application
in City Transit Bus
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Authors:
Wei-Wei Xiong, Cheng-Liang Yin
Abstract: The design approaches and a design case of the series-parallel
hybrid electric propulsion system for ground vehicles are presented in this
paper. Based on the analysis of the base units and the combination types of
the series-parallel propulsion systems, a novel manual transmission is
proposed to switch the propulsion system configuration in a low-cost
manual-shifted hybrid propulsion system. This propulsion system type has been
used in a hybrid transit bus. The sizes of propulsion system components,
including engine, electric motors, battery and gear ratios, are designed to
satisfy the bus’s drive ability requirements. Moreover, some features,
including down-sized engine, idling elimination, regenerative brake, low-speed
electric propulsion and proper control strategy, etc., are introduced to
improve its fuel economy. The fuel economy of the hybrid bus was evaluated
under the city transit bus driving cycle. The result shows that the fuel
consumption is on average reduced by 21.3% of that of the conventional
baseline bus under city driving conditions, which identifies the approach’s
technical and economical feasibility.
Keywords:
Series-parallel, hybrid electric propulsion system, transit bus, design, fuel
economy
Title of the Paper:
Induction Machine Fault Detection Using Support Vector Machine Based
Classifier
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Authors:
V. N. Ghate, S. V. Dudul
Abstract: Industrial motors are subject to various faults which, if unnoticed,
can lead to motor failure. The necessity of incipient fault detection can be
justified by safety and economical reasons. The technology of artificial
neural networks has been successfully used to solve the motor fault detection
problem. This paper develops inexpensive, reliable, and noninvasive NN based
fault detection scheme for small and medium sized induction motors. Detailed
design procedure for achieving the optimal NN model and Principal Component
Analysis for dimensionality reduction is proposed. Overall thirteen
statistical parameters are used as feature space to achieve the desired
classification. Generalized Feed Forward (GFFDNN) and Support Vector Machine (SVM)
NN models are designed and verified for optimal performance in fault
identification on experimental data set of custom designed 2 HP, three phase
50 Hz induction motor.
Keywords:
Induction motor, Fault detection, Neural Network, GFFDNN, SVM, PCA
Title of the Paper:
System Optimal Compensators Placement via Immune Multi-Objective Algorithm
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Authors:
T. Y. Hwang, C. M. Tsai, T. L. Huang, C. C.Huang, Y. N. Lien, C. M. Chung, C.
H. Chang
Abstract: This work proposes a two-stage immune algorithm that embeds the
compromise programming to perform multi-objective optimal compensator
placement. A new problem formulation model that involves fuzzy sets to reflect
the imprecise nature of objectives and incorporates multiple planning
requirements is presented. The proposed approach finds a set of non-inferior
(Pareto) solutions rather than any single aggregated optimal solution.
Additionally, this developed approach eliminates the need for any user-defined
weight factor to aggregate all objectives. Comparative studies are conducted
on an actual system with encouraging results, demonstrating the effectiveness
of the proposed approach.
Keywords:
Compensator placement, immune algorithm, non-inferior set, compromise
programming
Title of the Paper:
Trajectory Planning, Optimization and Control of a Hybrid Mechanical Press
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Authors:
Kai He, Yuanxin Luo, Ching Tom Kong, R. Du
Abstract: Hybrid mechanical press is an innovative sheet metal stamping press
that has the advantages of both mechanical press and the hydraulic press. This
paper focuses on the control of the hybrid mechanical press, including
trajectory planning, trajectory optimization and real time feedback control.
The trajectory planning is based on inverse kinematics and cubic spline
interpolation. The trajectory optimization is used to realize the desirable
punch trajectory under multiple constraints on velocity, acceleration and jerk
of the servomotor. Finally, an improved PID algorithm, called the integral
separated piecewise PID scheme, is used for real time feedback control. Based
on the experiments on a 25 ton industrial prototype, the control ensures the
desirable performance of the press.
Keywords:
Hybrid Machines, Mechanical Press, Trajectory Planning, Trajectory
Optimization, PID Control
Title of the Paper:
A Combination Model and Application for the Water Quality Evaluation
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Authors:
Zhiguang Zhu, Li Zhang, Siying Wei
Abstract: Water quality evaluation benefits monitoring the water quality,
utilizing and developing water resources rationally, providing a basis for the
planning of water pollution control strategies, and predicting the future
trend of water environment scientifically. This paper proposes a combination
approach that can be used to incorporate two or more water quality evaluation
models. The application of this approach is to assess the water quality of the
middle reach of the Yangtze River, which is the major resource of supplying
drinking water, fishing, irrigating crops and generating energy in China.
Keywords:
Water quality, Evaluation index, Combination evaluation, Fuzzy synthetic
evaluation, Entropy-based evaluation, Optimal-graded matrix
Title of the Paper:
Hybrid Electric Vehicle with Flywheel Energy Storage System
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Authors:
Jianhui He, Guoqiang Ao, Jinsheng Guo, Ziqiang Chen, Lin Yang
Abstract: A new hybrid-drive system taking flywheel energy storage system
instead of chemical battery as assistant power source for hybrid electric
vehicle is put forward. According to the particular energy characteristics of
flywheel system, an energy management strategy based on fuzzy logic control is
also developed with overall consideration on the optimization of both ICE
(Internal Combustion Engine) and ISG (Integrated Started Generator). The
strategy determines the optimal torque distribution between ICE and ISG
through inputs of rotary speed of flywheel, rotary speed of ICE crankshaft and
travel of accelerator pedal or brake pedal. Simulation results indicate that
flywheel energy storage system is quite suitable for hybrid electric vehicle
and with fuzzy logic control strategy both the performance of ICE and ISG are
optimized that reduces fuel consumption of vehicle to greater extent.
Keywords:
Flywheel energy storage system, ISG, Hybrid electric vehicle, Energy
management, Fuzzy logic control
Title of the Paper:
Enhanced Layer 3 Service Differentiation for WLAN
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Authors:
W. L. Pang, Nurul Nadia, David Chieng
Abstract: The existing wireless networks are dominated by IEEE802.11a/b/g that
only provides the best effort services to the wireless end users. All the
wireless users and services are traded equally without any Quality of Service
(QoS) feature embedded in the existing wireless system. The IEEE802.11e Medium
Access Control (MAC) is introduced to provide QoS to the Local Area Network (WLAN)
users, but it involves significant investment in money and time to migrate the
existing systems to the new IEEE802.11e systems. We proposed an Enhanced Layer
3 Service Differentiation (EL3SD) scheme for the existing WLAN systems to
provide QoS to the WLAN end users. The EL3SD is a software approach that
operates above the IEEE802.11 MAC to maintain the existing wireless network
architectures and devices. A queuing mechanism is added in a gateway between
the wired and wireless WLAN. Simulations have been carried out with
IEEE802.11b and IEEE802.11e systems. Four queuing mechanisms are selected in
the simulation; the Class based Queuing (CBQ), Deficit Round Robin (DRR), Fair
Queuing (FQ) and Stochastic Fair Queuing (SFQ). The FQ and CBQ are capable to
provide flows differentiation under heavy downlink scenario, but the CBQ is
programmable to provide users differentiation to the end users. This is
something extra that is not available in the IEEE802.11e and the network
administrator controls the WLAN bandwidth distribution through the CBQ.
Keywords:
WLAN, Queuing Analysis, Bandwidth Allocation
Title of the Paper:
Dynamic Modeling and Robust Control of Multi-Module Parallel
Soft-Switching-Mode Rectifiers
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Authors:
Kuei-Hsiang Chao
Abstract: In this paper, small-signal modeling and robust controller design
for multi-module parallel soft-switching mode rectifiers (SSMRs) are
presented. First, a single-phase boost-type SSMR is formed from the
traditional boost-type switching mode rectifier (SMR) with auxiliary resonant
branch to achieve zero-voltage-transition (ZVT) soft switching for the main
and auxiliary switches. Based on the proposed single-phase SSMR, parallel
operation of multi-module single-phase SSMR is made for increasing the total
power capacity and the reliability of the SSMRs. The state-space averaging
method is employed to derive the small signal model of the SSMR in current
control loop for performing its current controller design. As for the voltage
control loop, the dynamic model of the multi-module SSMR is derived at nominal
case by averaging method for two-time-scale (AM-TTS) and averaged power
method. Then, the quantitative and robust voltage regulation controls are
proposed for multi-module SSMR to improve the control performance when the
parameter variations caused by system configuration change and operating point
shift have occurred. The accuracy of the derived SSMR dynamic model and the
effectiveness of the proposed controller are demonstrated by some simulation
and experimental results.
Keywords:
Soft-Switching-Mode Rectifier, Small-Signal Model, Quantitative Controller
Design, Parallel Operation, Robust Control
Issue
6, Volume 8, June 2009
Title of the Paper:
Application of a Predictive Acoustical Software for Modelling Low Speed
Train Noise in an Urban Environment
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Authors:
J. Quartieri, A. Troisi, C. Guarnaccia, T. L. L. Lenza, P. D'Agostino, S.
D'Ambrosio, G. Iannone
Abstract: In this work the noise impact of train transits, in the framework of
low velocity regimes, is considered, especially in proximity of a railway
station. The environmental impact observed in the neighbourhood of the station
is highlighted, considering the Sound Pressure Level of noise coming from
train transits and the equivalent Level evaluated during the full day
operating time of the railway. In particular we performed a comparison between
the experimental results obtained from noise measurements detected on a
building facade close to a railway station at night time, and the algorithmic
simulations obtained by means of a predictive software. Regarding the
simulation activity, train transits and the related auxiliary noise sources
have been realistically modelled by considering different types of trains and
of running conditions, making the simulation run on a 24 hours time interval.
A relevant aspect of this study is the representation of the results.
Different plots are presented, with particular emphasis to contour plot maps.
Keywords:
Noise, Railway, Simulation Model, Predictive Software, Time History, 3D Map
Title of the Paper:
Applying Artificial Neural Network for Simultaneous Electrochemical
Determination of Glue and Thiourea in N.I.C.I.CO
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Authors:
Efat Rezaei
Abstract: In this research an artificial neural network was invented for
simultaneous determination of both glue and thiourea in industrial
electrolytes. First, a network was designed, which electrochemical data was
its input. This network consisted of three layers of nodes, and back
propagation rule was used for training the network. Sigmoid transfer function
was applied in the hidden and output layers. The precision and accuracy of
model was tested. The resulting MSE (Mean Square Error) for prediction of glue
and thiourea were 0.0011 and 0.0008 respectively.
Keywords:
ANN, glue, thiourea, copper refining, electrochemical determination, sigmoid
transfer function
Title of the Paper:
Applications of Neural Networks in Continuous Casting
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Authors:
Gelu Ovidiu Tirian, Camelia Bretotean Pinca
Abstract: This paperwork describes and refers to the structure of neuronal
networks who make up the system we use for predicting wire breaking, the way
they have been used and implemented; and the use and implementation of the
entire system. Before testing the networks, we must identify the design of the
RNA input curves. We should identify it experimentally, using the same
measurements as for the continuous cast process. For using the serial-dynamic
and space network, we need a large amount of data, more than the data that a
thermo-couple uses during 120 seconds. Thus, specialists have had to design
new software in order to stimulate the difference curves we should use for
each network input. Because dynamic-serial networks follow the same pattern of
data input, we have preferred to use only one serial-dynamic network and clone
the others. We have performed the same in case of space networks whose input
data are the same output data from two of the dynamic-serial networks.
Keywords:
Neuronal system, prediction, samples, algorithm, training, crack, continuous
casting
Title of the Paper:
A Noble Heuristic Reading Device for Blind People
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Authors:
Shieh-Shing Lin, King-Tan Lee, Shih-Cheng Horng, Kuang-Yao Lin, Tseng-Lin
Hsieh, Jia-Hau Chen, Hen-Chia Hsu
Abstract: In this paper, the authors present a noble heuristic reading machine
for blind people. The goal of this paper is to use intelligent-control method
to settle down the reading machine by a touch-pat device for blind people. The
proposed “A noble heuristic reading device for blind people”can efficiently
help blind people for reading and train the blind people learning the
dot-touched words as well. First of all, the feedback control theorem
associated with some sensors is used to accomplish the action of automatic
fixed position of the reading machine. Second, a heuristic program used to
analyze a certain word by converting dot-touched signals into meaningful code
will transfer word-code into phonetic signals and speak out for blind people
effectively and precisely through personal computer interface. There are three
units in the proposed design, which includes the hardware structure, the
analysis for certain word-meaning and the phonetic output of the specified
words. The test results show that the proposed smart reading machine can
effectively prompt learning and reading effects for blind people.
Keywords:
Intelligent control method, touch-pat, heuristic program, feedback control
theorem and phonetic signal, programming
Title of the Paper:
Modeling and Control of Die-Sinking EDM
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Authors:
Chingyei Chung, Shou-Yen Chao, M. F. Lu
Abstract: This paper explores the mathematical model for electrically
discharged machining (EDM) machine. Conventionally, it is known that the
machining efficiency of EDM is closed related to the so-called ignition delay
time. Here, it can be observed that the ignition delay time is the RC
time-constant of the circuit model of Die-sinking EDM. Then, it can be shown
that ignition delay time is closed related to the gap resistance. According to
electromagnetic theory, it can be shown that in the first and middle stages of
machining process, the overall control system becomes a nonlinear Lur’e
system. As for the final stage of machining process, the overall control
system becomes a linear system. For the Lur’e problem of Die-sinking EDM, we
applied the SPR (Strict Positive Real) condition for the control of EDM. A
differential-PID controller is proposed in the beginning and middle stage of
machining process. In the final stage of machining process, A PID controller
can applied to the final stage of machining process. An adaptive controller
switch from Differential-PID (DPID) controller and PID controller is proposed
in this paper. Experimental results will be verified. Especially, the
machining efficiency can be enhanced up to 33% compared to the conventional
optimal PID controller.
Keywords:
Nonlinear Control System, Lur’e Problem, EDM, Differential-PID Controller
Title of the Paper:
Identification of Non linear MISO Process using RKHS and Volterra Models
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Authors:
Okba Taouali, Nabiha Saidi, Hassani Messaoud
Abstract: This paper treats the comparison between the Volterra model and
Reproducing Kernel Hilbert Space (RKHS) model in Multiple Input Single Output
(MISO) case. The RKHS model uses the Statistical learning theory to find a
solution of a regularization risk. It is characterise by a linear combination
of the kernels function. The complexity of Volterra model is depending of the
degree and the memory of the model contrarily of the RKHS model which depend
only of the number of observations. The performances of both models are
evaluated first by using Monte Carlo numerical simulations and then have been
tested for modelling of a chemical reactor and results are successful.
Keywords:
Statistical Learning Theory, RKHS, Volterra, MISO, Modelling, Chemical reactor
Title of the Paper:
A Design Method of Narrow Band FIR Filters Based on Fluency Sampling Function
of Quadratic Piecewise Polynomial
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Authors:
Masakazu Higuchi, Shuji Kawasaki, Kazuki Katagishi, Mitsuteru Nakamura, Kazuo
Toraichi, Hitomi Murakami, Yasuhiro Ohmiya
Abstract: In this paper, we propose a design method of the narrow band FIR
filter in a Fluency signal space. As a result, we can make superior narrow
band FIR filters than ordinary one. While an FIR filter has advantages that it
is stable and can realize perfect linear phase, its transfer function can be
of higher order according to desired accuracy. One of such difficult classes
that indeed requires lots of multipliers is the narrow band filter. In
proposed method, it is possible to design a narrow band FIR filter with
multipliers much less than Remez method, a typical conventional method. In the
first step of the proposed method, a pair of mother filters that are basic for
the desired filter are defined. In the next step, scaled filters of the mother
filters will be taken. Finally, we take an appropriate cascade connection of
the scaled filters and make it the approximation model of the desired
characteristics of narrow band FIR filter. By a numerical experiment, the
proposed method is shown to be supeior to Remez method, as stated above.
Keywords:
Fluency theory, Signal space, Dual space, Sampling function, Frequency
scaling, Cascade connection, Remez algorithm
Title of the Paper:
Designing Neural Networks for Tackling Hard Classification Problems
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Authors:
Georgios Lappas
Abstract: When designing neural networks for tackling hard classification
problems researchers face the trivial problem of deciding the appropriate size
of the neural network. The problem of optimizing the size of a neural network
for obtaining high classification accuracy in datasets is indeed a hard
problem in the literature. Existing studies provide theoretical upper bounds
on the size of neural networks that are unrealistic to implement.
Alternatively, optimizing empirically the neural network size may need a large
number of experiments, which due to a considerable number of free parameters
may become a real hard task in time and effort to accomplish. Hard
classification problems are usually large in size datasets. Such datasets
derive from collection of real world data like from multimedia content and are
usually rich in training samples and rich in features that describe each
collected sample. Working with neural networks and hard classification
datasets will make even harder the task to optimize the neural network size.
This work highlights on a mathematical formula for a priori calculating the
size of a neural network for achieving high classification accuracy rate. The
formula estimates neural networks size based only on the number of available
training samples, resulting in sizes of neural networks that are realistic to
implement. Using this formula in hard classification datasets aims to fix the
size of an accurate neural network and allows researchers to concentrate on
other aspects of their experiments. The focus on this approach turns to the
number of available data for training the neural network, which is a new
perspective in the neural network theory and the characteristics of this
perspective are discussed in this article for designing neural networks for
tackling hard classification problems.
Keywords:
Neural Networks, Circuit Complexity, Multimedia, Intelligent Multimedia,
Pattern Classification
Title of the Paper:
Problems Associated with Investment in Advanced Manufacturing Technology
from the Management Point of View
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Authors:
Josef Hynek, Vaclav Janecek, Libuse Svobodova
Abstract: Utilization of advanced manufacturing technology is considered as
one of the key factors that help manufacturing companies worldwide to reduce
the cost of manufacturing, improve the quality of their products, increase the
throughput as well as production flexibility and altogether it should help
them to maintain or even enhance their competitiveness on global markets.
Moreover, manufacturing companies in economically developed countries cannot
rely on cheap labor force and massive investments into advanced manufacturing
technology seem to be inevitable necessity for them. On the other hand, these
companies are under constant economic pressure and their managers are pushed
to economize and cut cost whenever possible. Taking into account that
investment into advanced technology is as a rule rather expensive, long-term
nature and associated with a higher degree of risk especially if the
particular company lacks experience with the particular type of technology, it
is clear that the relevant decision making processes are not easy and
straightforward ones. We will describe here some problems associated with
investment into advanced manufacturing technology from the management point of
view. We will demonstrate that managers show rather reserved attitude towards
relevant projects and admit many difficulties when deciding about investment
into particular advance manufacturing projects in their companies. We will
support our views by selected results of two surveys that we did in the Czech
Republic and we will compare our findings with outcomes of the similar surveys
in other countries too.
Keywords:
Advanced manufacturing technology, management attitudes, short-termism, survey
results
Title of the Paper:
A Projection Algorithm for Satellite Rainfall Detection
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Authors:
Nazario D. Ramirez-Beltran, Robert J. Kuligowski, Joan M. Castro, Melvin J.
Cardona, Ramon Vasquez
Abstract: A projection algorithm to detect rain cloud pixels in visible and
infrared satellite data is introduced in this work. The algorithm is based on
the angle formed by two vectors in the n-dimensional space. This algorithm
takes advantages of the geometrical projection principle: when two vectors are
collinear the radiative variables of clouds used to create the vectors may
exhibit similar properties, and when the vectors are orthogonal the radiative
variables may have no elements in common. Rain/no rain pixels are identified
by using radar rain rate over the studied area. Satellite data from visible
and infrared channels are used to create rain and no rain pixel populations.
The central tendency of each population is used to generate rain and no rain
calibration vectors. A pixel from an independent data set is used to create a
third vector, which is projected into the previously calibrated vectors, with
the purpose of classifying the third vector in one of the two populations,
rain or no rain. Classification is made depending of the magnitude of the
projection angle and the probability distribution of the visible and infrared
radiation variables. The proposed algorithm was implemented to detect rain
clouds over a tropical area with the special purpose of developing an
application to improve the Hydro-Estimator, which is an operational and
high-resolution rainfall retrieval algorithm that has been applied over the
United States since 2002.
Keywords:
Vector projection, classification, warm rainy clouds, rainfall detection
algorithm, Hooke-Jeeves pattern search
Title of the Paper:
Optimization of Available Resources and Methods of Capitalizing Human
Capital on Industrial Process Lines Efficiently
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Authors:
S. K. Subramaniam, A. H. Hamidon, R. S. S. Singh
Abstract: Efficiency and accuracy on the production lines enables an improved
production and utilization of available resources within industries. Due to
time constrain in the production process, the workers have to keep on their
toe’s to ensure daily goals are met as set by the management. In the race for
achieving set goals, human capital is the prime concern, even machineries also
considered as a role player in the production lines. Measuring man power
utilization is very slanted due to the standards and policy’s set by the
management. Generally faults and mistakes done on the process line are always
overwritten by adulterated production information’s to cover up any unwanted
consequences. Such factors lead towards the down falls of the management in
maximizing their available resources. Management should be skilled on
resourcing for available production information’s and to accurately interpret
these data in order to identify the various faults at production level
especially on workers to immediately rectify in order to improve efficiency.
An accurate data management system will ensure these miseries will be
highlighted and counter measures are seen to ensure sustainability of these
industries for the long term.
Keywords:
Man power utilization, optimization of human capital, industrial production
line, data management system
Title of the Paper:
Implementation of a Lidar System and its Usage in Characterization of
Aerosols in the Atmospheric Column
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Authors:
Javier Mendez-Rodriguez, Hamed Parsiani
Abstract: Light Detection and Ranging (LIDAR) is a recent remote sensing
system which has been gradually expanding as a network among the countries
actively concerned about the atmospheric contaminants, earth radiation budget,
rain variations, clean air index, etc. In this work, the design of a typical
Lidar, ground based system for three wavelengths is explained. Essential
parameters for the atmospheric characterizations such as Aerosol Optical Depth
(AOD), Angstrom coefficient (A), and Aerosol Size Distribution (ASD) are
explored and the obtained results are discussed. These parameters have been
calculated and plotted based on three Lidar system wavelengths of 355, 532,
and 1064 nm using the data obtained from Lidar in the Western part of Puerto
Rico (location of UPRM Lidar system). The relationship between the essential
parameters presented by the plots and the atmospheric behavior is explained
using the collected data during two different days.
Keywords:
Lidar system, AERONET station, Planetary Boundary Layer, Aerosol Optical
Depth, Aerosol Size Distribution, Air Quality Index
Issue
7, Volume 8, July 2009
Title of the Paper:
Identifying Dynamic Systems with Polynomial Nonlinearities in the
Errors-in-Variables Context
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Authors:
Levente Hunyadi, Istvan Vajk
Abstract: Many practical applications including speech and audio processing,
signal processing, system identification, econometrics and time series
analysis involve the problem of reconstructing a dynamic system model from
data observed with noise in all variables. We consider an important class of
dynamic single-input single-output nonlinear systems where the system model is
polynomial in observations but linear in parameters, which captures a wide
range of such systems. Assuming white Gaussian measurement noise that is
characterized by a magnitude and a covariance structure, we propose a
nonlinear extension to the generalized Koopmans–Levin method that can estimate
parameters of dynamic nonlinear systems with polynomial nonlinearities given a
priori knowledge on the noise covariance structure. In order to estimate noise
structure, we apply a covariance matching objective function. Combining the
extended Koopmans–Levin and the covariance matching approaches, an
identification algorithm to estimate both model and noise parameters is
proposed. The feasibility of the approach is demonstrated by Monte- Carlo
simulations.
Keywords:
System identification, discrete-time dynamic systems, errors-in-variables,
linearizable systems, polynomial eigenvalue problem, covariance matching
Title of the Paper:
Intelligent Sea Transportation System Postoptimal Analysis
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Authors:
Sadko Mandzuka, Ivan Bosnjak, Ljupko Simunovic
Abstract: A procedure for the ship dynamic positioning postoptimal analysis in
Intelligent Sea Transportation System Optimization is proposed. The dynamic
positioning control system design is based on the optimal constrained
covariance control (OC3). In that way some disadvantages of the classical
optimal control technique are avoided. When the sensitivity of solutions to
desired system performances is performed, then it can be shown that under
particular circumstances, a slight change of desired system performances could
significantly improve the optimal solution value. Namely, a slight relaxation
of desired system position accuracy could result with significant energy
savings. The presented numerical example illustrates some benefits of the
proposed approach.
Keywords:
Intelligent Transportation System, Dynamic Positioning, Mathematical Modelling,
LQG control, Optimization problems, Postoptimal analysis, Robust control
Title of the Paper:
A Suppliers' Perspective of e-Procurement Integration in Automobile Industry
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Authors:
Noor Raihan Ab Hamid, Aznur Hajar Abdullah
Abstract: Most automakers find that integrating with their suppliers in an
e-procurement environment able to help them streamlining information across
diverse suppliers base. However, many barriers to the integration of
e-procurement could hold back suppliers’ from realizing the integration with
automakers (buyers). This study deals with e-procurement integration (EI)
barriers within the Malaysian automobile industry, focusing on parts and
components suppliers as the target respondents. A number of barriers, grouped
as buyers, cultural, financial, IT and security barriers have been identified
to influence suppliers’ decision to participate in EI network. However, only
buyers’ barriers was identified as the major impediments to EI within the
industry. This study also illustrates the effects of suppliers’ EI strategy
and firm size on suppliers’ decisions in EI involvement. Overall, the
suppliers who take on a passive approach to EI and large firm suppliers view
buyers’ barrier as significant.
Keywords:
E-procurement integration (EI), Automobile industry, Financial barriers,
Cultural barriers, IT barriers, Buyers’ barriers and Security barriers
Title of the Paper:
Dynamic Modeling and Control of the Windshield Wiper Mechanisms
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Authors:
Catalin Alexandru, Claudiu Pozna
Abstract: Determining the real behavior of the windshield wiper mechanisms is
a priority in the design stage since the emergence of the computer graphic
simulation. The paper attempts to analyze and simulate the windshield wiper
systems by using a complex virtual prototyping platform, which integrates
specific software solutions for realizing the 3D solid model (CATIA), modeling
the MBS mechanical model (ADAMS), and controlling the mechanism (MATLAB). For
applying the design strategy, we considered a tandem pattern double-lever
system, which is approached in the concurrent engineering concept, by
integrating the control system in the mechanical model at the virtual
prototype level. To drive the mechanism, a DC motor is used, the objective
being to control the angular velocity of the rotor, which is the input
parameter in the mechanical model; the output, which is transmitted to the
controller, is the motor torque. Driving the system by using the motor torque
is more realistic than attaching a motion generator and driving the motion
directly.
Keywords:
Windshield wiper mechanism, Multibody system, Mechatronic model, Virtual
prototype
Title of the Paper:
Cost Calculation Algorithm for Stand-Alone Photovoltaic Systems
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Authors:
Irfan Guney, Nevzat Onat, Gokhan Kocyigit
Abstract: Photovoltaics are the technology that generates direct current (DC)
electrical power measured in watts or kilowatts from semiconductors when they
are illuminated by photons. Photovoltaics are the technological symbol for a
future sustainable energy supply system in many countries. A considerable
amount of money is invested in research, development and demonstration;
several governments set up substantial market introduction programs and
industry invests in larger production facilities. Life Cycle Cost Analysis (LCCA)
is an economic method of project evaluation in which all costs arising from
owning, operating, maintaining and ultimately disposing of a project are
considered to be potentially important to that decision. Doing a LCCA gives
the total cost of a PV system -including all expenses incurred over the life
of the system. LCCA is particularly suitable for the evaluation of building
design alternatives that satisfy a required level of building performance, but
that may have different initial investment costs; different operating,
maintenance and repair (OM&R) costs; and possibly different lives. In this
study, a software computer program for educational purposes is designed to
determine initial, life cycle and unit energy costs of a stand-alone
photovoltaic system in Turkey. Depending on the selected location, material
and criteria, the proposed software implements the life cycle analysis of the
system. The database and fixed constants of proposed software can be updated
and new elements can be added at any time. Present value algorithm is
described in previous section is used for cost calculation. Inappropriate
selection of components is blocked by the software. Also, too large selection
of particular elements such as inverter and batteries is blocked for optimal
sizing of the system. As a result of the calculations were performed using
software designed, in terms of lifetime cost and unit energy costs of PV
systems most suitable provinces are Mersin, Antalya, Adana, Mardin, Van,
Ad?yaman, Ayd?n and Kilis respectively. In the opposite, the highest costs are
in Gumushane, Yalova, Agr?, Cank?r? and Kastamonu provinces.
Keywords:
Photovoltaic cell, Life Cycle Cost, Present Worth, PV System Design, Software,
Unit Energy Cost
Title of the Paper:
Spectral and Geographical Domain Coordination for IMT-Advanced
Compatibility with Point-to-Point Fixed Service
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Authors:
Zaid A. Shamsan, Tharek Abd Rahman, Muhammad R. Kamarudin
Abstract: Frequency intersystem interference is a phenomenon caused by
coexistence of multiple wireless systems in same or adjacent areas.
Consequently, frequency sharing studies play a very important rule in order to
use limited spectrum resources efficiently. Because an International Mobile
Telecommunication-Advanced (IMT-Advanced) systems are going to use 3500 MHz
according to World Radiocommunication Conferences 2007 (WRC-07) decision along
with point-to-point Fixed Wireless Access (FWA) system, which currently
allocated in the same band, the frequency sharing between IMT-Advanced and FWA
is essential. This paper investigates the spectrum sharing requirements in
different terrestrial areas using interference to noise ratio criterion. Three
methods of investigation of the interference, co-channel, null-guard band, and
adjacent channel, have been proposed to investigate the phenomenon in the
frequency and space domains to obtain correlation between the minimum
separated range of base stations antennas and the frequency separation.
Off-axis angles direction alignment is also proposed to reduce the necessary
coordination separation distance and frequency separation for good enough
coexistence between systems.
Keywords:
Zero-guard band, Co-channel, Adjacent channel, Interference, I/N ratio,
Separation distance, Off-axis angles direction alignment
Title of the Paper:
Bionic Structure of Mechanically Coupled Diaphragms for Sound Source
Localization
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Authors:
Qingsheng Wang, Zhushi Rao, Na Ta
Abstract: The tasks of sound source localization are always of great value in
many engineering applications. In these types of localization appliances,
several microphone transducers are usually involved in the localization
structures. Each of the arrival times of the sound stimulus applied to these
microphones is determined individually and sent to the arithmetic-logic
sections immediately by which the localization systems could find out
positions of the sound sources subsequently. But these appliances always
consist of many components, and the looseness of structures may narrow their
practical applications. In this paper, a new type of instrument is designed to
accomplish the purpose of localizing the sound source by a relatively compact
structure. This bionics structure is designed to mimic the localization
function of the ears of the parasitoid fly Ormia ochracea, and it consists of
three elastic diaphragms, three bars which connected to the diaphragms, and
the other mechanical components. The analysis of this structure’s dynamic
behavior shows that the incident angles of the sound have special relationship
to the responses of this instrument, and the incident angles can be estimated
by detecting the vibrations of the three elastic diaphragms. Compared with
traditional microphone arrays, this instrument has the advantage of compaction
and higher integrated level.
Keywords:
Vibration and wave, Biomechanics, Bionics, Sound Source localization
Title of the Paper:
A Real Time Algorithm for Monitoring the Gearbox Reliability Test
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Authors:
V. Niola, G. Quaremba, V. Avagliano
Abstract: The aim of this paper is to illustrate a new method for monitoring a
gearbox during the reliability test (or duration test). In particular it is
illustrated the tune-up of an algorithm for monitoring this test in order to
stop it if an unexpected event occurs. In the first part it is explained the
reliability test, why and how it is performed on a gearbox. In the second part
it is showed the selection of the best points for the measurement and the
equipment used for the assessment. In the third part it is presented the
algorithm for improving the reliability test. We have settled the algorithm in
order to stop the test if the gearbox will be damaged for any reason. By using
this algorithm, we can early detect a gear crack, having so the advantage both
of providing the integrity of the gearbox and the possibility of inspecting
it.
Keywords:
Gearbox, Fourier Analysis, Pitting, Side Bands
Title of the Paper:
Towards an Approach of Fuzzy Control Motion for Mobile Robots in Unknown
Environments
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Authors:
Ouarda Hachour
Abstract: This paper deals with the intelligent navigation control of
Intelligent Autonomous Vehicles (IAV) in an unknown environments. The aim of
this paper is to develop an IAV combining Expert Systems (ES) and Fuzzy Logic
(FL) for the IAV stationary obstacle avoidance to provide them more autonomy
and more intelligence. Artificial intelligence, including Fuzzy logic and
Expert system, has been actively studied and applied to domains such as
automatically control of complex systems like robot. The proposed approach can
deal a wide number of environments. This system constitutes the knowledge
bases of FL_ES approach allowing recognizing situation of the target
localization and obstacle avoidance, respectively. The integration of FL and
ES based on intelligent computing offers to the autonomous mobile system the
ability to realize these factors: recognition, learning, decision-making, and
action (the principle obstacle avoidance problems). Hence, this hybrid
intelligent system FL_ES is necessary to bring the behaviour of Intelligent
Autonomous Vehicles (IAV). The combination of FL and ES is done using a
grid-map form of an unknown environment with static unknown obstacles. The
proposed algorithm allows a mobile robot to navigate through static obstacles,
and finding the path in order to reach the target without collision. In each
situation and autonomously, the robot moves within the unknown environment by
sensing and avoiding the obstacles coming across its way towards the target.
This intelligent task must make the robot able to achieve these tasks: to
avoid obstacles, and to make ones way toward its target by ES_FL system
capturing the behavior of a human expert. The integration of ES and FL has
proven to be a way to develop useful real-world applications, and hybrid
systems involving robust adaptive control. The proposed approach has the
advantage of being generic and can be changed at the user demand. The results
are satisfactory to see the great number of environments treated. The results
are satisfactory and promising for next development.
Keywords:
Expert System(ES), Fuzzy Logic)FL), Intelligent Autonomous Vehicles (IAV),
navigation, Path planning
Title of the Paper:
The Combined Decision Making Technology based on the Statistical and
Fuzzy Analysis and its Application in Forecast's Modeling
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Authors:
Irina Khutsishvili
Abstract: In the present work the combined Decision Making Technology based on
the Statistical and Fuzzy Analysis is offered. This is a novel technology,
which is based on the use of fuzzy-statistical methods. The technology
involves two stages of decision-making. While considering the same object, the
first three methods make a decision independently. These methods are – the
Statistical Method of Fuzzy Grades’ Analysis, the Fuzzy Discrimination
Analysis and the Case Based Reasoning. Each makes a decision with its own
approach to a problem and uses statistical and expert data. These statistical
data are the existing historical cases of correctly made decisions with
exhibited activities. At the second stage, the fourth method – an Expertons
method – is used to make a final decision. The method works with the expert
data only and chooses the most believable decision from those offered by the
first three methods. Proposed Decision Making Technology is applied to a
specific forecasting problem – the decision-making on the possibility of
earthquake occurrence. The present work describes the modifications of the
“classical” variants of fuzzy-statistical methods, which became necessary to
solve the specific forecasting problem and, also, introduces the Decision
Support System, which was developed completely based on the proposed combined
technology. The article provides an example clearly illustrating the work of
the developed system.
Keywords:
Decision Support System, Fuzzy Relative Frequencies, Membership Functions,
most believable Decision, the similarity Measure between two Cases, Experton,
Possibility Distribution.
Title of the Paper:
Statistical Calibration of the Natural Gas Consumption Model
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Authors:
Marek Brabec, Marek Maly, Emil Pelikan, Ondrej Konar
Abstract: We will discuss a problem pertinent to many situations in which a
statistical model is developed on a sample of individuals (describing their
trajectories), but then it is applied on a much larger population of interest.
Typical examples occur in natural gas and other energy consumption contexts.
Due to various deficiencies of the original sample-only based model, due to
possible inconsistencies between sample and the population as a whole, and/or
due to inherently different nature of the available sample and population
data, calibration arises as a natural way to improve original model. We start
with a simple approach and proceed to introduce a formal and flexible,
time-varying statistical model of state-space nature, from which such a
calibration will come out as one of the products. The calibration model is
quite general and hence it can be used far beyond the particular context of
natural gas consumption modeling in which it was originally motivated.
Keywords:
Linear calibration, natural gas consumption modeling, Bayesian approach,
statistical model, time-varying calibration, state-space model
Issue
8, Volume 8, August 2009
Title of the Paper:
Discriminate by Rough Set Methodology to Select Compound or Portfolio
Relationships Oriented in Taiwan IT Industry
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Authors:
Jao-Hong Cheng, Chih-Ming Lee, Fu-Cheng Chien
Abstract: Under the rapid change business environment, the relationships of
inter-organization in supply chain will be transformed from single to complex
relationships, and complex relationships could be categorized into “Compound
Relationships” or “Portfolio Relationships”. Theme of this research is to
demonstrate how the external/internal resource and maintained flexible
volatility of inter-organization will affect the competitive advantage for
organization. Most current existed literatures of inter-organization in supply
chain are focusing on the kind and features of the simple relationships or
portfolio relationships. This study will use Rough set methodology to
discriminate nature relations between compound relationships oriented and
portfolio relationships oriented the theoretical framework model concerning
the influence factors of the different selection between inter-organization in
Supply Chain. Our goal is to provide the selection model which is built by
discriminate analysis and Rough set methodology; furthermore, to encourage
more academic and practical studies interactions.
Keywords:
Relations Oriented Selection model, Compound Relationship, Portfolio
Relations, Discriminate Analysis, Rough set
Title of the Paper:
Multi-objective Optimum Design of Balanced SAW Filters Using Generalized
Differential Evolution
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Authors:
Kiyoharu Tagawa
Abstract: A multi-objective optimum design method of the balanced Surface
Acoustic Wave (SAW) filter is proposed. The frequency response characteristics
of the balanced SAW filters are governed primarily by their geometrical
structures. Besides, specifications for a balanced SAW filter is given by
using several criteria. Therefore, in order to realize desirable frequency
response characteristics, the structural design of the balanced SAW filter is
formulated as a constrained multi-objective optimization problem. Then a
recent Evolutionary Multi-objective Optimization (EMO) algorithm, which is
called Generalized Differential Evolution 3 (GED3), is applied to the
multi-objective optimization problem. Furthermore, in order to clarify the
tradeoff relationship among the objective functions of the multi-objective
optimization problem, Principal Component Analysis (PCA) is used to assess the
set of the non-dominated solutions obtained by GDE3. Finally, the proposed
optimum design method is demonstrated in the three- and the two-objective
optimum design problems of a practical balanced SAW filter.
Keywords:
Surface acoustic wave filter, differential evolution, multi-objective
optimization
Title of the Paper:
The Analysis of Industrial Product External Surfaces: A Pattern
Recognition Approach to the Situation of Imprecise Limits
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Authors:
Edson Pacheco Paladini
Abstract: The present study describes a model which, by using pattern
recognition procedures, detects defects on the external surface of pieces and
industrial products, especially those whose borders are indefinite. In
addition to describing the model, a practical application and the results
obtained are described, including an important extension of this work, i.e.
the comparison of pieces with standards (defect control by means of matching
procedures).
Keywords:
Quality, External Surface Analysis, Pattern Recognition
Title of the Paper:
Mobile Robot Navigation based on CNN Images Processing – An Experimental
Setup
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Authors:
I. Gavrilut, V. Tiponut, A. Gacsadi
Abstract: This paper presents results of our work in development of a
path-planning algorithm for obstacle avoidance of a mobile robot in a real
workspace. The gray-scale images processing of the robot’s workspace (global
path-planning) is realized by using cellular neural networks (CNNs). Besides
that, two IR sensors, mounted in front of the robot were used for fast
obstacle avoidance (local path-planning).
Keywords:
Mbile robot, cellular neural networks, image processing, path-planning, IR
sensors
Title of the Paper:
An Approach for Design of Multi-element USBL Systems
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Authors:
Mikhail Arkhipov
Abstract: This paper presents an approach for design of multi-element
ultra-short baseline (USBL) systems with the goal to improve the coordinate
determination accuracy of the underwater objects. The object location
estimation is performed on the base of the measurement of the distance to the
object and the angular object position. It is supposed that the object is
equipped with a transponder that receives the interrogation acoustical impulse
and sends an acoustical impulse in reply. The idea of the design method is to
increase of the number of receiving elements of the USBL antenna with a
corresponding increase of the number of the receiving bases with the different
spatial orientation. The arrangement of the array receiving elements is
obtained by the rotations of the basic (three-element) receiving arrays around
the longitudinal and lateral carrier axes (the case of the determination of
the Cartesian coordinates of the object in the carrier coordinate system is
considered). It is supposed that the control of the spatial orientation of the
receiving USBL array is realized by means of measurement of its pitch and roll
angles (in the carrier coordinate system). In the article the proposed method
is applied for design of the nine-element USBL system. The special coordinate
determination algorithm for the proposed USBL system is designed and tested.
The simulation of the algorithm was realized with the assumption that the
object can have an arbitrary location in the lower hemisphere and the
receiving USBL antenna can have significant inclination. The coordinate
determination accuracy of the proposed USBL system is evaluated.
Keywords:
Ultra-short baseline (USBL) system, underwater object, transponder, carrier
coordinate system, local coordinate system, pitch and roll angles
Title of the Paper:
A New Index for Monitoring the Duration Test
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Authors:
V. Niola, G. Quaremba, V. Avagliano
Abstract: The aim of this work is to improve the algorithm proposed for
monitoring the reliability test (duration test). In order to improve this
task, a new index was developed for studying the Side Bands. In fact each
frequency of the spectrum has a specific meaning as well as the Side Bands.
They appear when an anomaly occurs (in particular, in this work when an
anomaly occurs in the gearbox under study). Several diagrams and
considerations when an unexpected event occurs are presented. In the first
part it is described the typical frequencies due to the gearbox vibration. In
the second part it is illustrated the concept of harmonics, side bands and
their meaning. In the third part a new index for monitoring the reliability
test is presented. Such an index was designed in order to answer to many
questions before the crack exceeds. In fact it gives the opportunity of
checking the various aspects of the spectrum of the accelerometer signal. In
particular it gives information about the order exceeding the target, so we
can find earlier the cause of damage. An alarm starts if a damage on a gear
wheel is detected.
Keywords:
Assembly-Phase-Passage Frequency, Tooth Repeat Frequency, Harmonics, Side
Bands
Title of the Paper:
Research on Parameter Identification of Modified Friction LuGre Model
Based Distributions Theory
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Authors:
Radu Zglimbea, Virginia Finca, Emilian Greaban, Marin Constantin
Abstract: Based on distributions theory to continuous time systems with
friction using the this paper presents a batch on-line method for the
parameter identification of the modified LuGre friction model. Mainly it
applies the results of the identification procedures based on distributions
theory to continuous time systems with friction. There are defined the so
called generalized friction dynamic systems (GFDS) as a closed loop structure
around a smooth system with discontinuous feedback loops representing friction
reaction vectors. Both GFDS with static friction models (SFM) and dynamic
friction models (DFM), also the modified friction LuGre model is analyzed. The
identification problem is formulated as a condition of vanishing the existence
relation of the system. Then, this relation is represented by functionals
using techniques from distribution theory based on testing function from a
finite dimensional fundamental space. The advantage of representing
information by distributions are pointed out when special evolutions as
sliding mode, or limit cycle can appear.The proposed method is a batch on-line
identification because identification results are obtained during the system
evolution after some time intervals but not in any time moment. This method
does not require the derivatives of measured signals for its implementation.
Some experimental results are presented to illuminate its advantages and
practical use. At last, the simulation results have shown effectiveness of the
proposed method for friction parameter identification.
Keywords:
Identification, Distribution theory, Friction, the modified friction LuGre
model
Title of the Paper:
Local Environmental Quality Evaluation System Based on Fuzzy Analytical
Hierarchical Process
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Authors:
Kuei-Yang Wu, Hong-Di Huang
Abstract: In this study, the Fuzzy Analytic Hierarchy Process (FAHP) analysis
technique is applied to the Local Environmental Quality (LEQ) management
strategy for the community.The results show that the factors of resource
recycling and utilization are the most important influences on the LEQ
management strategy of the community. The global weight of the spare resource
and utilize is 0.1664, and it is the most important factor in the sub-factor
of the steps. In a community sustainable management strategy assessment, the
global weights of the spare resource and utilization, impetus the community
zero waste, the community installation, and space activation, in pollution
prevention of the community, and recycling, reusing, and the installation of
polluting factories are the important sub-factors in the LEQ assessment, and
would affect the sustainable management strategy assessments, the analysis of
the global weights are at 0.17~0.09. In the aspect of evaluations on bases,
Guannan Village has the lowest degree of achievement in sustainable
development of LEQ (24.87%). Compared with the other three villages, it’s more
critical to effectively control the establishment of polluting factories.
Also, the equipment for handling pollutants released by factories must be
enhanced. And the education on recycling must be carried out.
Keywords:
Multi-criteria decision making, Local Environmental Quality, AHP, Fuzzy set
theory, FAHP
Title of the Paper:
Structured-Image Retrieval Invariant to Rotation, Scaling and
Translation
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Authors:
C. Aviles-Cruz, A. Ferreyra-Ramirez, J. J. Ocampo-Hidalgo, I. Vazquez-Alvarez
Abstract: In Content Based Image Retrieval (CBIR) domain a new methodology is
proposed in this paper; this methodology is based on statistical features such
as Hu invariant moments (invariant to scale and translation) and a correlation
measure (between 2 images). In order to attack image rotation problem, we use
principal components analysis. Image comparison is done by correlation.
Proposed scheme was tested with hundred of structured images like: electronic
circuits, cell phones, cars, trees, leaves, grass, glasses, tables, etc.
Features characteristics are extracted from invariant moments, taken from
window size estimation. From a query image, a set of features were estimated
in order to compare to a set of images. Correlation function is applied to get
image similarity, it is obtained a believe percentage value. As a methodology
conclusion, we found that the invariant moments combined with principal
component analysis gives excellent results in image retrieval task. An
exhaustive study was performed with 1000 images. We also evaluated the impact
of noise on the images testing additive Gaussian random noise.
Keywords:
Image retrieval, PCA, Invariant Moments, Pattern Recognition
Title of the Paper:
A Decision-Based Model and Algorithm for Maneuvering Target Tracking
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Authors:
Jiahong Chen, Zhonghua Zhang, Zhendong Xi, Yongxing Mao
Abstract: The decision-based models for maneuvering target tracking were
studied in this paper. Focusing on the problem of dissatisfied with single
model tracking and the optimal model-set is difficult to design of the
multiple-model (MM) algorithm, we modified the “current” model, and proposed
an adaptive single model (ASM) to track angular motion. The united
velocity-acceleration estimation-based and direct measurement-based decision
algorithms for model-switching were provided and discussed. At the same time,
we discussed the question of the thresholds setup, and gave a significance
test method based on hypothesis testing theory. Simulation results show that
the tracking performance of this new adaptive single model is stationary, and
is improved much more than the “current” model, also better than the
interacting multiple-model (IMM) for strong maneuvering target tracking.
Furthermore the computational load of the new model can be less than that of
IMM.
Keywords:
Adaptive single model, multiple-model, maneuvering target tracking, “current”
model, decision-based algorithm, model-switching
Title of the Paper:
A Method for Obstacle Avoidance in Role Reassignment of Robot Formation
Control
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Authors:
Yu-Cheng Chen, Yin-Tien Wang
Abstract: In the paper, an algorithm for the obstacle avoidance and a
procedure for the role reassignment of robot formation control based on this
algorithm are proposed. This algorithm contains an edge detector that is used
to determine the position of the vertical edges of the obstacle in the
environment. Meanwhile, a motion controller is also designed in this research
based on the dynamic equation for robots. The developed algorithm is applied
to the formation control of omni-directional driven robots. Simulation and
experiment are performed to verify the proposed algorithm and the results show
that the performance of the proposed algorithm for obstacle avoidance and
procedure for role reassignment are efficient for robot formation control.
Keywords:
Obstacle avoidance, Formation control, Role assignment, Robot control
Issue
9, Volume 8, September 2009
Title of the Paper:
Adaptive Categorization of Complex System Fault Patterns
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Authors:
Seyed Shahrestani
Abstract: Due to large amount of information and the inherent intricacy,
diagnosis in complex systems is a difficult task. This can be somehow
simplified by taking a per-step towards categorizing the system conditions and
faults. In this paper, the development and implementation of an approach that
establishes class membership conditions, using a labeled training set, is
described. More specifically, the use of negative recognition for
classification and diagnosis of complex system faults are discussed. The
adaptive recognition to achieve the classification is based on discovery of
pattern features that make them distinct from objects belonging to different
classes. Most of the existing approaches to fault diagnosis, particularly for
large or complex systems, depend on heuristic rules. The approach proposed in
this work does not resort to any heuristic rules, which makes it more suitable
for diagnosis of faults in dynamic and complex systems. For evaluation
purposes, using the data provided by the protection simulator of a large power
system, its fault diagnosis is carried out. The results of those simulations
are also reported. They clearly reveal that even for complex systems, the
proposed approach, based on making use of the distinctive features of
encountered fault patterns, is capable of fault classification with minimal
supervision.
Keywords:
Adaptive Recognition, Classification, Complex Systems, Diagnosis, Fault
Identification, Fault Pattern, Power Systems
Title of the Paper:
The Prediction of Taiwan 10-Year Government Bond Yield
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Authors:
Kuentai Chen, Hong–Yu Lin, Tz–chen Huang
Abstract: Neural Networks are nowadays a promising technique in various
financial applications. Numerous studies have demonstrated that the Neural
Networks are accurate and efficient. Yet research for the field of forecasting
government bond yield is short. Among these limited number of studies,
Backpropagation network (BPN) seems to be the most used method. However,
suffering form the potential problems, such as slow training speed, long
processing time, and possible local minimum, BPN may not be the best solution
for all applications in practice. The purpose of this research is to provide
an in-depth study of effects of on the performance of different neural
networks in Taiwan’s 10-year government bond yields forecasting. Five selected
models with different structures, namely Backpropagation network (BPN),
Resilient Propagation (RPROP), Radial Basis Function Neural Network (RBFN),
Adaptive Neuro-Fuzzy Inference Systems (ANFIS), and Support Vector Regression
(SVR), are investigated and the results are analyzed and compared. The results
indicate that (1) the number of nodes in the hidden layer is insensitive to
the prediction. (2) The recommended number of input nodes is five. (3) More
training samples do enhance forecasting performance in our study. (4) The
performance of RBFN is the best, followed by ANFIS and RPROP, SVR, and then
BPN. (5) BPN is efficient but not the best approach. (6) Our result reveals
that RBFN is a useful predicting approach in government bond yield, it
performs better than other four models. The recommended structure for RBFN in
this application is five input nodes, six center nodes in the hidden layer,
and one output node.
Keywords:
Government bond, yield, forecasting, artificial neural network, neural
networks, Radial Basis Function Neural Network
Title of the Paper:
Earth Resistivity Estimation Based on Satellite Imaging Techniques
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Authors:
Kwanchai Norsangsri, Thanatchai Kulworawanichpong
Abstract: This paper proposes a useful technique for generating an earth
resistivity map. Earth resistance is one of essential factors in a broad range
of power system analysis and design. Information of earth resistivity is
helpful for practical power system engineers in order to establish power
system grounding. In this paper, a LANSAT7 image of a tested area of 50 km2
was used by ENVI program in associative with a set of resistivity data
obtained from field measurement. By using the maximum likelihood for
supervised classification of a mixed band 7, 5 and 3, highest value of 85.71%
confidence was obtained.
Keywords:
Earth resistivity, Wenner method, Satellite image technology, Power system
grounding, Classification technique, Multispectral
Title of the Paper:
Experimental Measurement of Information Transfer Rate of the Inertial Sensor
Based Human-Computer Interface for the Disabled
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Authors:
Josip Music, Mojmil Cecic, Mirjana Bonkovic
Abstract: The paper presents inertial sensor based human-computer interface
for the disabled. The device uses commercially available inertial sensor pack
to reliably measure 3D head orientation (via Kalman filtering of
accelerometer, gyroscope and magnetometer measurements) which is then
transformed into appropriate control signal(s) depending on the intended
application scenario. In order to measure information transfer rate (or
throughput) of the device, application to computer pointer control is
explored. Initial study on the subject was achieved in our earlier work [1]
where number of application issues were identified. The current paper deals
with possible solutions to some of the issues by introducing additional signal
conditioning algorithms and examines their influence on device comfort and
throughput as the two most important performance parameters. Obtained
information transfer rates are presented and compared to values from the
initial study and to values of some widely used interfaces such as trackball
or joystick (found in the literature). The effects of proposed improvements
are discussed and conclusions are drawn.
Keywords:
Human-computer interface, throughput, inertial sensors, accelerometer,
gyroscope, magnetometer
Title of the Paper:
Development and Testing of a Device for Human Kinematics Measurement
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Authors:
Ivo Stancic, Daniela Borojevic, Tamara Supuk
Abstract: This paper presents a simple, inexpensive, and fast procedure for
motion kinematics measurement and analysis [1,2]. System developed in our
laboratory is based on a high speed industrial camera, active LED markers and
a PC for handling cameras video stream and data analysis. Active markers used
in this work were assembled using small, lightweight and easily available
white LEDs. Smaller LEDs allow larger density of markers to be placed on a
subject in motion, tracking position and orientation of all segments relevant
for motion kinematic analysis. Computer vision algorithm for marker detection
and tracking was developed in-house, followed by an algorithm for computing
and analyzing kinematics data of human locomotion [3-5]. Procedures for camera
calibration and sub pixel accuracy were also developed and integrated with the
system. The accuracy and properties of our system were tested, and results
were compared with the existing referent systems presently used in the field.
Results of testing marker – camera properties suggest that the system could
support work in larger volumes (distances from camera) and almost
perpendicular rotations of marker against camera. This property allows
building of a 3D kinematics tracking system with two or more cameras placed at
different angels against the subject in setup. Proposed system has a few
disadvantages; measurements and results that are representative in only one
plane and use of battery powered active markers that could disturb subject
during normal gait trial. The major advantage of our system is that it offers
acceptable accuracy, high speed (up to 320Hz) and easy upgradeability at much
lower price when compared with the other commercially available systems [6-8].
Further development of our system will include additional cameras for 3D
marker tracking and integration with an inertial sensor for full kinematics
and kinetic measurement of human movement.
Keywords:
Biomechanics, computer vision, active markers, human motion kinematics
Title of the Paper:
Circuit Heating Plant Model with Internal Delays
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Authors:
Libor Pekar, Roman Prokop, Petr Dostalek
Abstract: The aim of this paper is to utilize an unordinary anisochronic
modelling principle on a circuit thermal laboratory plant. The class of
anisochronic models is characterized by the existence of state (internal)
delays, both distributed or lumped ones. The modelled laboratory appliance was
designed at Tomas Bata University in Zlin, Czech Republic, as a thermal
heating circuit small scale model with dynamic properties similar to that of a
real heating system (e.g. a cooling circuit in cars). The motivation for the
modelling of this plant was double. First, the dynamics of the plant exhibits
unconventional step responses which cannot be explained by a standard analytic
means. Second, the authors of this contribution intend to use the obtained
anisochronic mathematical description of the plant with the view of the
verification of algebraic control algorithms in the RMS ring designed for
delayed systems earlier.
Keywords:
Anisochronic models, Time-delay systems, Modelling, Heating systems
Title of the Paper:
Analysis and Interpretation of Ground Reaction Forces in Normal Gait
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Authors:
Tea Marasovic, Mojmil Cecic, Vlasta Zanchi
Abstract: The locomotion biomechanics study provides very extensive and
interesting material for investigating the physiological process involved and
the neural mechanisms controlling the systems. Gait analysis – the systematic
analysis of locomotion – is used today for pretretment assessment, surgical
decision making, postoperative follow-up, and management of both adult and
young patients. Over the past few decades, multiple advances in bioengineering
technology have permited precise analysis of many specific gait
characteristics, such as joint angles, angular velocities and angular
accelerations (kinematic analysis), as well as ground reaction forces, joint
forces, moments and powers (kinetic analysis); electromyographic activity and
energy consumption. Sophisticated gait analysis equipment can generate a
visible force vector on an oscilloscope screen and superimpose it
simultaneously on a photograph of a gait subject. Visualizing ground reaction
forces helps us understand the effect they are having on the body in walking.
If we have a full kinematic description, accurate anthropometric measures, and
the external forces, we can calculate the joint reaction forces and musle
moments. This predicition, called the inverse solution, is a very powerful
tool in gaining insight into the net summation of all muscle activity at each
joint. In this paper, we present and discuss the results of a ground reaction
force analysis, conducted using the data samples of 40 voluntary subjects from
our faculty student and employee population, differing in age, sex, height and
weight, measured by the AMTI force platform.
Keywords:
Biomechanics, kinetics, gait characteristics, ground reaction force, Pedotti
diagram
Issue
10, Volume 8, October 2009
Title of the Paper:
Theoretical and Experimental Determination of Equivalent Parameters of
Three-Phase Induction Motor Windings in Case of Power Electronic Converters
Supply
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Authors:
Sorin Musuroi, Valeriu-Nicola Olarescu, Doru Vatau, Ciprian Sorandaru
Abstract: In the present paper is carried out a theoretical and experimental
study of induction motor behavior in the presence of distorting regime
(non-sinusoidal) due to the power electronic converter. The main aims are the
determination of the relations of calculating the equivalent parameters of the
machine winding supplied by power electronic converter and the practice of
verifying them. Also proposed is a comparative study with case of sinusoidal
supply, with emphasis on the influence of the presence of the electronic
converter on the machine parameters. Issue is limited to three phase range of
cage-induction machine of small and medium-sized powers, to 45 [kW], the most
currently used in the usual adjustable speed drives. The tests were carried
out using two three-phase induction motors having rated powers of 0.37 [kW]
and 1.1 [kW] respectively.q
Keywords:
Induction machines, converters, equivalent parameters, non-sinusoidal regime
Title of the Paper:
Mathematical Model Associated to Three-Phase Induction Servomotors in the
Case of Scalar Control
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Authors:
Sorin Musuroi, Ciprian Sorandaru, Valeriu-Nicola Olarescu, Marcus Svoboda
Abstract: Scalar control of induction servomotors was implemented on their
steady-state model. If the machine is powered via a frequency and voltage
converter, due to the presence in the motor input voltage wave of higher time
harmonics, both its parameters and functional characteristic values will be
more or less different comparing to the case of sinusoidal supply. The
presence of these harmonics will result in the appearance of a distorting
regime in the machine, with adverse effects in operation. In this work is
realized a theoretical study of the behavior of the asynchronous servomotor in
the presence of distorting (non-sinusoidal) regime and also a mathematical
model for its scalar control is proposed.
Keywords:
Mathematical model, Asynchronous servomotor, Non-sinusoidal regime, Power
converter, Scalar control
Title of the Paper:
The Determination of Empirical Model for Surface Roughness in Turning Process
Using Design of Experiment
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Authors:
Karin Kandananond
Abstract: The purpose of this research is to determine the empirical model for
surface roughness in a turning process. This process is performed in the final
assembly department at a manufacturing company which supplies fluid dynamic
bearing (FDB) spindle motors for hard disk drives (HDDs). The workpieces used
were the sleeves of FDB motors made of ferritic stainless steel, grade AISI
12L14. A 2k factorial experiment was used to characterize the effects of
machining factors, depth of cut, spindle speed and feed rate on the surface
roughness of the sleeve. The results show that the surface roughness is
minimized when the spindle speed and feed rate are set to the highest levels
while the depth of cut is set to the lowest level. Even though the results
from this research are process specific, the methodology deployed can be
readily applied to different turning processes. As a result, practitioners
have guidelines for achieving the highest possible performance potential.
Keywords:
Fluid dynamic bearing (FDB), Full factorial experiment design, Hard disk
drives (HDDs), Spindle motor sleeve, Surface roughness, Turning process
Title of the Paper:
Systems Dynamics of Future Urbanization and Energy-related CO2 Emissions in
China
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Authors:
Zhou Wei, Mi Hong
Abstract: China is undergoing urbanization on the largest scale in the world,
which need huge amounts of energy,and will emit huge amounts of CO2 into
atmosphere.Now China is the country that emits most CO2 in the world.
Urbanization means population migrate to city and town, which will increase
sharply demand for energy and other resource.Considering the energy efficiency
and energy structure in China,the situation will be extremely serious. The
urbanization is caused by population migrating from rural to urban areas,
which is promoted by the income gap between them. We compute the migration
size based on rural and urban income gap and space discrepancy of the
distribution of population and economic activities, and futher calculate the
number of new residents in cities. What is more,taking Chinese industrial
structure and energy consumption in each industry into account,we calculate
energy consumption and CO2 Emissions in the year 2010-2030. Considering energy
consumption structure will be changed in the future,we simulate the CO2
Emissions in different energy consumption structure. The conclusion is that
CO2 Emissions can be reduced 1.95 billion tons in 2030 if clear energy account
for 20% of total energy consumption.
Keywords:
Urbanization, Energy Demand, Energy Structure, CO2 Emissions, Systems Dynamics
Title of the Paper:
Fault Diagnosis Method Based on Kurtosis Wave and Information Divergence for
Rolling Element Bearings
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Authors:
Huaqing Wang, Peng Chen
Abstract: Fault diagnosis depends largely on feature analysis of vibration
signals. However, feature extraction for fault diagnosis is difficult because
the vibration signals often contain a strong noise component. Noises stronger
than the actual fault signal may interfere with diagnosis and ultimately cause
misdiagnosis. In order to extract the feature from a fault signal highly
contaminated by the noise, and to accurately identify the fault types, a novel
diagnosis method is proposed based on the kurtosis wave and information
divergence for fault detection in a rolling element bearing. A kurtosis wave
(KW) is defined in the time domain using the vibration signal, and a method
for obtaining the kurtosis information wave (KIW) is also proposed based on
Kullback-Leibler (KL) divergence using the kurtosis wave. A practical example
of diagnosis for an outer-race defect in a bearing is provided to verify the
effectiveness of the proposed method. This paper also compares the proposed
method with two envelope analysis techniques, namely the wavelet transform-
and the FFT-based envelope analysis techniques. The analyzed results show that
the feature of a bearing defect is extracted clearly, and the bearing fault
can be effectively identified using the proposed method.
Keywords:
Fault Diagnosis, Rolling Element Bearing, Envelope Analysis, Kurtosis Wave,
Information Divergence
Title of the Paper:
Kinetics of Cement Strength Development Using Different Types of Cement and
Aggregates
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Authors:
Dimitris Tsamatsoulis
Abstract: The object of the present study is the kinetics of cement strength
development using different cement and aggregate types. The model that has
been developed uses the following data: (1) Composition of cement. (2) Mineral
composition of clinker. (3) Cement fineness. (4) Early, standard and long-term
strength data. (5) Aggregates nature. The parameters of the model are
constituted by: (1) The hydration rates of the mineral phases of clinker that
are a function of the cement fineness. (2) The contribution of each phase to
the cement strength. As far as the hydration of phases is concerned first
order kinetic has been used. The parameters of the model were calculated
through fitting to experimental points of strength for the cement types CEM I
and CEM II A-L produced in the factory of HALYPS. Siliceous and calcareous
aggregates were utilized. The effect of the clay, sometimes existing in the
concrete aggregates is also investigated and incorporated in the mathematical
treatment. . The impact of the aggregates type on the mortar strength
development and variance is linked with physical characteristics of the
aggregates. The mathematical model can be utilized for the cement composition
design, as well as a quality control tool for regulation of the current
production
Keywords:
Strength, Hydration, Kinetics, Cement, Aggregates, Clinker, Model
Issue
11, Volume 8, November 2009
Title of the Paper:
Gearshift Control for Dry Dual-Clutch Transmissions
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Authors:
Chunsheng Ni, Tongli Lu, Jianwu Zhang
Abstract: In this paper a smooth control algorithm for gear shifting is
proposed for improving longitudinal dynamic performance during dry dual-clutch
engagements while shifting up or down takes place based on measurements of
engine speed and clutch speed, and on estimation of the dual-clutch engaging
torque. Simulation effort is made by Matlab/Simulink for transient responses
of the overall propulsion system with the dry dual-clutch transmission (DDCT)
in consideration of twin clutch engagement rules for gear shifting. As a
numerical example, the present control algorithm is used for the DDCT equipped
vehicle to simulate overlapping shifting behaviors. By the numerical it is
shown that the DDCT vehicle possesses of much better longitudinal dynamic
performance in shifting by imposing proper control of engine and the
dual-clutch.
Keywords:
Dry dual-clutch transmission, Engaging force, Smooth control algorithm, Clutch
control, Engine control, Shifting behaviors
Title of the Paper:
Localizing Multiple Odor Sources in a Dynamic Environment Based on Modified
Niche Particle Swarm Optimization with Flow of Wind
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Authors:
W. Jatmiko, A. Nugraha, R. Effendi, W. Pambuko, R. Mardian, K. Sekiyama, T.
Fukuda
Abstract: A new algorithm based on Modified Particle Swarm Optimization (MPSO)
that follows is a local gradient of a chemical concentration within a plume
and follows the direction of the wind velocity is investigated. Moreover, the
niche characteristic is adopted to solve the multi-peak and multi-source
problem. Simulations results demonstrate that the new approach is reliable for
The Advection-Diffusion odor robotic model. Finally, the statistical analysis
shows this new approach is technically sound.
Keywords:
Multiple Odor Sources Localization, Modified Niche PSO
Title of the Paper:
Application of Sliding Fuzzy Control on Robust Algorithm for Frequency
Estimation of Distorted Signals in Power Systems
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Authors:
Kuo-Nan Yu, Cheng-Ming Lee
Abstract: This paper presents a sliding fuzzy control (SFC) to adapt the
exponent of robust algorithm to a signal with a variable frequency in a power
system. With the aid of SFC, the robust algorithm can more improve the
performance of extended complex Kalman filter (ECKF) at the severe variation
of frequency. The proposed method is involved in ECKF’s algorithm without
changing any form; besides, it can enhance the estimation accuracy and reduce
the computation time. Results of comparative studies of the technique proposed
with the ECKF with robust algorithm (RECKF) and RECKF-SFC are presented in the
paper.
Keywords:
Kalman Filter, Robust Algorithm, Sliding Fuzzy Controller, Frequency
Estimation, Distorted Signals
Title of the Paper:
An Integrated Passive Islanding Detection Method for Distributed Generators
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Authors:
Wen-Yeau Chang, Hong-Tzer Yang
Abstract: This study proposes a new islanding detection method for use of
grid-interconnected distributed generators (DG). The method is based on two
indices: the rate of change of frequency (ROCOF) and the rate of change of
voltage (ROCOV). When a DG is grid-interconnected, the ROCOF and ROCOV are
lower than the threshold value. In contrast, as an islanding occurs, the ROCOF
or ROCOV become much higher than the threshold values. Detection systems
monitor terminal voltage at the grid-interconnected point to calculate ROCOF
and ROCOV, and issue an operating signal when the value and duration of ROCOF
or ROCOV exceed a given threshold. In this study, experiments are conducted to
illustrate the principles of the proposed technique for both synchronous
generators and induction generators. The test results show that the newly
proposed method is reliable, economical, and easy to implement for islanding
detection of distributed generators.
Keywords:
Islanding detection, Distributed generator, Rate of change of frequency, Rate
of change of voltage
Title of the Paper:
An Experimental Study on the Self-Recovery Regulation System of Centrifugal
Compressor Axial Displacement Fault
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Authors:
Yan Li, Weimin Wang, Jinji Gao, Shuangxi Li
Abstract: The axial displacement fault has very little indication before
taking place and the fracture of oil film between thrust disk and tilt pads
mainly contributes to this breakdown. Usually this fracture was caused by the
contamination of oil or decrease of oil supply pressure which result in losing
load bearing capacity of oil film. Also the increase of axial force caused by
fluctuation of operation condition can result in the oil film fracture. Both
of the above reasons can lead to tilt pads abrasion and emergency shutdown of
machine. The method presented in this paper monitors the stiffness of oil film
and identifies the reason of axial displacement increasing. By introducing the
mechanism of axial displacement fault self-recovering and taking the axial
displacement as the control objectives, the axial forces on rotor was
controlled on-line and the minimum oil film thickness was ensured in real
time. The experiment indicated that the mechanism can realize the axial fault
self-recovery effectively, and with this system, the centrifugal compressor
doesn’t need to be shut down immediately when the axial displacement fault
happens.
Keywords:
Centrifugal compressor, axial displacement, thrust bearing, fault
self-recovery, PID controller, axial stiffness
Title of the Paper:
Applying DEA and PLS Path Modeling for Efficiency Evaluation
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Authors:
Wei-Wen Wu
Abstract: Organizations need to work on productivity improvement in order to
enhance their operational performances. A number of works have taken efforts
in efficiency evaluation and ranking using analytic methods such as the data
envelopment analysis (DEA). However, few works have highlighted the
relationship among significant factors that affect productivity. Performing
efficiency evaluation and ranking is essential for productivity improvement.
Apart from that, it is also a requirement to create a clear picture in terms
of the relationship among critical productivity factors. PLS path modeling is
a popular causal analysis technique, by which a causal map can be created.
Therefore, this paper suggests a solution combining DEA with PLS path modeling
for conducting a more profound efficiency evaluation. In addition, an
empirical study of the hotel industry in Taiwan is presented to illustrate the
application of the proposed solution.
Keywords:
Efficiency evaluation, DEA, productivity factor, PLS path modeling
Issue
12, Volume 8, December 2009
Title of the Paper:
Fuzzy Learning Vector Quantization Based on Particle Swarm Optimization For
Artificial Odor Dicrimination System
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Authors:
W. Jatmiko, Rochmatullah, B. Kusumoputro , K. Sekiyama, T. Fukuda
Abstract: An electronic nose system had been developed by using 16 quartz
resonator sensitive membranesbasic resonance frequencies 20 MHz as a sensor,
and analyzed the measurement data through various neural network as a pattern
recognition system. The developed system showed high recognition probability
to discriminate various single odors even mixture odor to its high generality
properties; however the system still need improvement. In order to improve the
performance of the proposed system, development of the sensor and other neural
network are being sought. This paper explains the improvement of the
capability of that system from the point of neural network system. It has been
proved from our previos work that FLVQ (Fuzzy Learning Vectoq Quantization)
which is LVQ (Learning Vector Quantization) together with fuzzy theory shows
high recognition capability compared with other neural networks, however FLVQ
have a weakness for selecting the best codebook vector that will influence the
result of recognition. This problem will be anticipated by adding the PSO
(Particle Swarm Optimization) method to select the best codebook vector. Then
experiment showt that the new recognition system (FLVQ-PSO) has produced
higher capability compared to the earlier mentioned system.
Keywords:
Fuzzy Learning Vector Quantization, Matrix Similarity Analysis, Particle Swarm
Optimization, Codebook, Electronic Nose, Odor
Title of the Paper:
Indirect Adaptive Fuzzy Sliding Mode Control for Uncertain Longitudinal Brake
System of Hybrid Electric Bus
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Authors:
Jie Shu, Yong Zhang, Chengliang Yin
Abstract: In this paper, an indirect adaptive fuzzy sliding mode control
scheme is designed for hybrid electric bus. The trajectory tracking control
for stopping the bus in a bus station is proposed. The control strategies of
regenerative braking in the hybrid electric bus add the control difficulty of
the longitudinal braking system. Its nonlinearities are estimated by adaptive
fuzzy method and projection method. The stability and convergence properties
of the longitudinal brake control system are analytically proved by using
Lyapunov stability theory and Barbalat’s lemma. The simulation results
demonstrate that the proposed controller shows a good performance of tracking
the pre-designed profile even the brake system has the regenerative braking or
has different initial state from the velocity profile.
Keywords:
Hybrid electric bus; Longitudinal brake control; Regenerative braking;
Adaptive control; Fuzzy logic; Sliding mode control
Title of the Paper:
Non-Rigid Shape Recognition for Sign Language Understanding
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Authors:
Liviu Vladutu
Abstract: The recognition of human activities from video sequences is
currently one of the most active areas of research because of its many
applications in video surveillance, multimedia communications, medical
diagnosis, forensic research and sign language recognition. The work described
in this paper describes a new method designed to precisely identify human
gestures for Sign Language recognition. The system is to be developed and
implemented on a standard personal computer (PC) connected to a colour video
camera. The present paper tackles the problem of shape recognition for
deformable objects like human hands using modern classification techniques
derived from artificial intelligence.
Keywords:
Urbanization, Energy Demand, Energy Structure, CO2 Emissions, Systems Dynamics
Title of the Paper:
Application of Grey Clustering Approach and Genetic Algorithm to Partial
Discharge Pattern Recognition
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Authors:
Wen-Yeau Chang
Abstract: Partial discharge (PD) measurement and recognition is a significant
tool for potential failure diagnosis of the high-voltage equipment. This paper
proposes the application of grey clustering approach (GCA) to recognize
partial discharge patterns of the high-voltage equipment. The PD patterns are
measured by using a commercial PD detector. A set of features, used as
operators, for each PD pattern is extracted through statistical schemes. The
significant features of PD patterns are extracted by using the genetic
algorithm (GA). The proposed grey clustering approach has the advantages of
high robustness and effectiveness to ambiguous patterns and is useful in
recognizing the PD patterns of the high-voltage equipment. To verify the
effectiveness of the proposed method, the grey clustering approach was
verified on two types of high-voltage equipments. The test results show that
the proposed approach may achieve quite satisfactory recognition of PD
patterns.
Keywords:
Partial discharge, Pattern recognition, Grey clustering approach, Genetic
algorithm
Title of the Paper:
Diagnostic of Silicon Carbide Surge Arresters of Substation
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Authors:
Arnaldo G. Kanashiro, Milton Zanotti Jr., Paulo F. Obase, Wilson R. Bacega
Abstract: This paper presents the results of a research project aiming the
diagnostic of the silicon carbide surge arresters. These surge arresters are
being gradually replaced by the gapless zinc oxide ones, therefore, it is very
important to select the surge arresters that are more degraded in order to
avoid failures in the field. Tests were performed at the laboratory and the
results showed a good correlation between the leakage current measurement,
radio-influence voltage test and thermovision and the presence of
deterioration in the internal parts of the surge arresters. The results
obtained in this research might help the utility to develop more adequate
maintenance programs and to select the silicon carbide surge arresters that
need replacement.
Keywords:
Diagnostic, Leakage Current, Radio-Influence, Silicon Carbide, Surge Arrester,
Thermovision
Title of the Paper:
A Sequential Design Method for Multivariable Feedback Control Systems
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Authors:
Tain-Sou Tsay
Abstract: In this paper, a sequential design method is proposed for analyses
and designs of multivariable feedback control systems. The overall compensator
is implemented systematiccally with a cascaded layer-wrapped structure and
diagonal compensators. The method can take into consideration of stability,
integrity, diagonal dominance and performance in a sequential manner. Roots of
stability-equations are used to select parameters of compensators in the
parameter plane. Three 2x2 and one 4x4 multivariable examples are given and
comparisons with the methods in current literature are made.
Keywords:
Sequential design, Integrity, Stability, Multivariable feedback control system
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