PID CONTROL FOR MICRO-HYDRO POWER PLANTS BASEDON NEURAL NETWORK.
PROCED I N G CON FEREN CE I N TERN ATI ON AL M OD ELLI N G,
I D EN TI FI CATI ON AN D CON TROL ( Asia M I C 2 0 1 2 )
April, 2-4 2012. At, NUVOTEL PHUKET RESORT, T.PATONG, PHUKET, THAILAND
LAM AN : http:/ / w w w .actapress.com/ Abstract.aspx?paperId=453790
PRELIMINARY CONFERENCE PROGRAM
The 31st IASTED Asian Conference on
Modelling, Identification, and Control (AsiaMIC 2012)
&
th
The 7 IASTED International Conference on
Advances in Computer Science and Engineering (ACSE 2012)
April 2 – 4, 2012
Phuket, Thailand
G. K. Adam – Technological Educational Institute of
Larissa, Greece
J. C. Amaro Ferreira – ISEL, Portugal
C. Angeli – Technological Institute of Piraeus, Greece
W. Assawinchaichote – King Mongkut's University of
Technology Thonburi, Thailand
F. Assous – Ariel University Center, Israel
H. Attia – McGill University and National Research
Council Canada, Canada
J. Boaventura – University of Tras-os-Montes and Alto
Douro, Portugal
W. Borutzky – Bonn-Rhein-Sieg University of Applied
Sciences, Germany
X. Chen – Shibaura Inst. of Tech., Japan
J. H. Chin – National Chiao Tung University, Taiwan
T. Dhaene – Ghent University, Belgium
A. Dolgui – School of Mines of Saint-Étienne, France
D. Dutta – Monash University, Australia
R. Dutta – University of New South Wales, Australia
J. Dvornik – University of Split, Croatia
A. Elkamel – University of Waterloo, Canada
L. Fan – Shenyang Institute of Chemical Technology, PR
China
P. Fishwick – University of Florida, USA
E. Furutani – Kyoto University, Japan
W. Ghie – Université du Québec en AbitibiTémiscamingue, Canada
D. Gorgan – Technical University of Cluj-Napoca,
Romania
G. A. Gravvanis – Democritus University of Thrace,
Greece
V. Grout – Glyndwr University, UK
K. E. Häggblom – Åbo Akademi University, Finland
D. He – CSSI, Inc., USA
R. Henriksen – Norwegian Univ. of Science and
Technology, Norway
D. Honc – University of Pardubice, Czech Republic
G. Horton – University of Magdeburg, Germany
E. Innocenti – University of Corsica, France
I. Jesus – Institute of Engineering of Porto, Portugal
V. Jotsov – SULSIT-State University in Sofia, Bulgaria
B. Kaewkham-ai – Chiang Mai University, Thailand
T. Kawabe – University Tsukuba, Japan
LOCATION
Novotel Phuket Resort
Kalim Beach, Patong
Phuket 83150 Thailand
MODELLING, IDENTIFICATION AND
CONTROL (AsiaMIC 2012)
SPONSORS
The International Association of Science and Technology
for Development (IASTED)
Technical Committee on Control and Intelligent
Systems
Technical Committee on Modelling and
Simulation
International Journal of Modelling and Simulation
World Modelling and Simulation Forum
(WMSF)
CONFERENCE CHAIR
Assc. Prof. Wudhichai Assawinchaichote - King
Mongkut's University of Technology Thonburi, Thailand
TUTORIAL CHAIR
Dr. Sarawut Sujitjorn - Suranaree University of
Technology, Thailand
TUTORIAL SESSION
Asst. Prof. Mohamed Hamdi - Engineering School of
Communication (Sup'Com), Tunisia
KEYNOTE SPEAKER
Dr. Sarawut Sujitjorn - Suranaree University of
Technology, Thailand
INTERNATIONAL PROGRAM COMMITTEE
F. Abdul Aziz – Universiti Putra Malaysia, Malaysia
J. Abonyi – The University of Veszprém, Hungary
1
S. H. Kim – Korea Advanced Institute of Science and
Technology, Korea
C. Kyrtsou – University of Macedonia, Greece
K. Lavangnananda – King Mongkut’s University of
Technology Thonburi, Thailand
S. Lazarova--Molnar – United Arab Emirates University,
UAE
S. Liang – Chongqing University, PR China
A. Løkketangen – Molde University College, Norway
M. Lotfalian – University of Evansville, USA
P. Mahanti – University of New Brunswick, Canada
K. L. Man – Xi'an Jiaotong-Liverpool University , PR
China
T. Masood – Cranfield University, UK
R. V. Mayorga – University of Regina, Canada
N. Melao – Catholic University of Portugal, Portugal
S. Mitaim – Thammasat University, Thailand
Y. Morita – JAXA, Japan
P. Nahodil – Czech Technical University in Prague, Czech
Republic
S. Narayanan – Wright State University, USA
T. Niculiu – University , Romania
G. Nikolakopoulos – University of Patras, Greece
H. Oya – The University of Tokushima, Japan
G. Petuelli – South-Westphalia University of Applied
Sciences, Germany
C. Pinto – Instituto Superior de Engenharia do Porto,
Portugal
M. Poboroniuc – The Gheorghe Asachi Technical
University of Iasi, Romania
M. M. Polycarpou – University of Cyprus, Cyprus
P. Pongsumpun – King Mongkut's Institute of Technology
Ladkrabang, Thailand
Y. B. Reddy – Grambling State University, USA
M. Rodrigues – Sheffield Hallam University, UK
S. Sanguanpong – Kasetsart University, Thailand
Y. S. Shmaliy – Guanajuato University, Mexico
B. Singh – Lakehead University, Canada
R. Snow – Riddle Aeronautical University, USA
W. Song – National Tsing Hua University, Taiwan
R. Spolon – UNESP - State University of São Paulo, Brazil
G. Sun – Beijing University of Technology, PR China
J. A. Tenreiro Machado – Instituto Superior de Engenharia
do Porto, Portugal
A. Tornambè – University of Rome Tor Vergata, Italy
M. Trabia – University of Nevada, USA
H. Trinh – Deakin University, Australia
K. Tsakalis – Arizona State University, USA
H. Unger – Fern University in Hagen, Germany
G. Varga – University of Miskolc, Hungary
Q. G. Wang – National University of Singapore, Singapore
K. P. White – University of Virginia, USA
W. Yu – CINVESTAV-IPN (National Polytechnic
Institute), Mexico
S. H. Zeng – Beijing University of Technology, PR China
L. Zhang – Harbin Institute of Technology, PR China
T. Zhang – Tsinghua University, PR China
Z. Zhang – University of Exeter, UK
ADDITIONAL PAPER REVIEWERS
R. Lobato – UNESP - State University of Sao Paulo, Brazil
K. Zhu – CSSI, Inc., USA
2
M. Ouyang – University of Louisville, USA
N. Passos – Midwestern State University, USA
K. Piromsopa – Chulalongkorn University, Thailand
S. Ponnabalam – Monash University, Malaysia Campus,
Malaysia
J. Puustjärvi – Helsinki University of Technology, Finland
O. K. SAHINGOZ – Turkish Air Force Adademy, Turkey
M. Sekijima – Tokyo Institute of Technology, Japan
S. M. Shamsuddin – Universiti Teknologi Malaysia,
Malaysia
B. Stantic – Griffith University, Australia
K. Sundaraj – University Malaysia Perlis, Malaysia
K. Takano – Kanagawa Institute of Technology, Japan
A. Takasu – National Institute of Informatics, Japan
N. Taylor – Heriot-Watt University, UK
I. F. Vega-López – Autonomous University of Sinaloa,
Mexico
D. Wang – University of Rochester Medical Center, USA
K. L. Wen – Chienkuo Technology University, Taiwan
H. Williams – Heriot-Watt University, UK
M. E. Yahia – King Faisal University, Saudi Arabia
S. Q. Zheng – The University of Texas at Dallas, USA
ADVANCES IN COMPUTER SCIENCE
AND ENGINEERING (ACSE 2012)
SPONSORS
The International Association of Science and Technology
for Development (IASTED)
Technical Committee on Artificial Intelligence
Technical Committee on Computer Graphics
Technical Committee on Databases
Technical Committee on Parallel & Distributed Computing
& Systems
Technical Committee on Software Engineering
TUTORIAL SESSION
Prof. Nader F. Mir - San Jose State University, USA
INTERNATIONAL PROGRAM COMMITTEE
D. Alcaide – University of La Laguna, Spain
N. Amano – Okayama University, Japan
C. Anderson – Colorado State University, USA
V. Bevilacqua – Polytechnic of Bari, Italy
M. Ceci – University of Bari, Italy
J. Chandy – University of Connecticut, USA
D. Chen – Uniformed Services University of the Health
Sciences, USA
S. Chittayasothorn – King Mongkut's Institute of
Technology Ladkrabang, Thailand
D. Connors – University of Colorado, USA
A. Cuzzocrea – University of Calabria, Italy
B. Dasgupta – University of Illinois at Chicago, USA
D. Dinakarpandian – University of Missouri-Kansas City,
USA
A. DUTTA – National Institute of Technology, Durgapur.,
India
E. Fink – Carnegie Mellon University, USA
E. Grant – University of North dakota, USA
J. Guo – California State University Los Angeles, USA
P. Gupta – Microsoft Corporation, U.S.A., USA
M. Halgamuge – Department of EEE, University of
Melbourne, Australia
N. Ikram – Riphah International University, Pakistan
N. Karacapilidis – University of Patras, Greece
M. Li – Nanjing University, PR China
K. M. Liew – City University of Hong Kong, PR China
J. Lindstrom – IBM, Finland
S. Lodha – University of California, Santa Cruz, USA
P. Mahanti – University of New Brunswick, Canada
P. Netinant – Illinois Institute of Technology, USA
M. Ogiela – AGH University of Science and Technology,
Poland
PLEASE NOTE
Paper presentations are 15 minutes in length with
an additional 5 minutes for questions.
Report to your Session Chair 15 minutes before the
session is scheduled to begin.
Presentations should be loaded onto the
presentation laptop in the appropriate room prior
to your session.
End times of sessions vary depending on the
number of papers scheduled.
3
PROGRAM OVERVIEW
Monday, April 2, 2012
Tuesday, April 3, 2012
07:00 – Registration
(Siam Foyer)
08:30 – AsiaMIC Session 3 – Fault Analysis and Process
Systems
(Siam B Room)
08:30 – AsiaMIC/ACSE Welcome Address
09:00 (Siam B Room)
08:30 – ACSE Session 3 – Computer Networks,
Communication and Web Technologies
(Siam C Room)
09:00 – AsiaMIC Session 1 – Artificial Intelligence and
Soft Computing (A)
(Siam B Room)
10:30 – Coffee Break
11:00 (Siam Foyer)
09:00 - ACSE Session 1 – Software Engineering,
Computational Intelligence and Data Mining (A)
(Siam C Room)
11:00 – AsiaMIC Session 3 Continued
(Siam B Room)
11:00 – Coffee Break
11:30 (Siam Foyer)
11:00 – ACSE Session 3 Continued
(Siam C Room)
11:30 – AsiaMIC Keynote Speaker – “The Roles of
Metaheuristics on Control Design Optimization
and Identification Research” – Dr. Sarawut
Sujitjorn
(Siam B Room)
12:00 – Lunch Break
(TBA)
14:00 – AsiaMIC Tutorial Session – “Biologically–
Inspired Communication and Networking” –
Asst. Prof. Mohamed Hamdi
(Siam B Room)
12:30 – Lunch Break
(TBA)
14:00 – ACSE Tutorial Session – “Latest Applications in
Computer Networks: from IPTV to Mobile
Multimedia Networks” – Prof. Nader F. Mir
(Siam C Room)
14:00 – AsiaPES
Keynote
Speaker
–
“Phasor
Measurements as Smart Device for Observing
Power System Dynamics” – Prof. Yasunori Mitani
(Siam A Room)
16:00 – Coffee Break
16:30 (Siam Foyer)
15:00 – Coffee Break
15:30 (Siam Foyer)
16:30 – AsiaMIC Tutorial Session Continued
(Siam B Room)
15:30 – Asia MIC Session 2 – Artificial Intelligence and
Soft Computing (B)
(Siam B Room)
16:30 – ACSE Tutorial Session Continued
(Siam C Room)
15:30 – ACSE Session 2 - Software Engineering,
Computational Intelligence and Data Mining (B)
(Siam C Room)
19:00 – Dinner Banquet
(TBA)
4
Wednesday, April 4, 2012
Monday, April 2, 2012
08:30 – AsiaMIC Session 4 – Modelling and Identification
(Siam B Room)
07:00 – REGISTRATION
Location: Siam Foyer
08:30 – AsiaMIC Session 5 – Optimization and Control
Applications
(Siam C Room)
08:30 – 09:00 AsiaMIC/ACSE WELCOME ADDRESS
Location: Siam B Room
10:30 – Coffee Break
11:00 (Siam Foyer)
09:00 – AsiaMIC SESSION 1 – ARTIFICIAL
INTELLIGENCE AND SOFT COMPUTING (A)
Chairs: TBA
Location: Siam B Room
11:00 – AsiaMIC Session 4 Continued
(Siam B Room)
769-038
Fuzzy Control with Quadratic Performance for a Class of
Nonlinear Systems
Dušan Krokavec and Anna Filasová (Slovakia)
11:00 – AsiaMIC Session 5 Continued
(Siam C Room)
769-072
KTX Noise ANC Performance Evaluation using a
Multiple-LMS-based Neural Network
Hyeon Seok Jang, Kung Wan Koo, Young Min Lee,
Young Jin Lee, and Kwon Soon Lee (Korea)
12:30 – Lunch Break
(TBA)
14:00 – AsiaMIC Session 6 – Recent Advances in MIC
and their Applications
(Siam C Room)
769-064
Dynamic Neural Network-based Fault Diagnosis of Gas
Turbine Engines
Sina S. Tayarani-Bathaie, Zakieh Sadough, and
Khashayar Khorasani (Canada)
15:00 – Coffee Break
15:30 (Siam Foyer)
15:30 – AsiaMIC Session 6 Continued
(Siam C Room)
769-058
Mathematical Modeling and Numerical Simulation for
Microbial Depolymerization Processes of Exogenous Type
Masaji Watanabe and Fusako Kawai (Japan)
09:00 – ACSE SESSION 1 – SOFTWARE
ENGINEERING, COMPUTATIONAL
INTELLIGENCE AND DATA MINING (A)
Chairs: TBA
Location: Siam C Room
770-037
Application of Simulation Systems in Training Security
Services
Grzegorz Gudzbeler, Mariusz Nepelski, and Andrzej Urban
(Poland)
770-040
Proposal of Motion Caputuring System for Authentication
Keiichiro Awaji, Yutaro Watanabe, and Ryuya Uda (Japan)
770-032
Dynamic Simulation of a 3-D 4BL Engineering Problem
using Augmented Reality
Manjit S. Sidhu (Malaysia) and Waleed Maqableh
(Saudi Arabia)
5
770-043
Top-View based Human Action Recognition using Depth
and Color Information
Sittisuk Seawpakorn and Nikom Suvonvorn (Thailand)
The works to be presented have come from a team of
researchers who fond of control and computing through our
hard-working years. The followings are my students,
colleagues and friends who deserve for acknowledgements:
T. Kulworawanichpong, K-N. Areerak, K-L. Areerak, D.
Puangdownreong, J. Kluabwang, N. Sarasiri, S. Phanikhom
and K. Suthamno.
770-039
Profile-based Action Recognition using Depth Information
Pongsatorn Chawalitsittikul and Nikom Suvonvorn
(Thailand)
Sarawut Sujitjorn was awarded the BSc (Hons) degree in
Electrical Engineering from the Royal Thai Air Force
Academy, in 1984, and in 1987 the PhD degree in
Electronic & Electrical Engineering from the University of
Birmingham, UK, where he worked on automated coastcontrol of rapid transit trains. He is currently a Professor of
Electrical Engineering at Suranaree University of
Technology (SUT), Thailand, where he founded the School
of Electrical Engineering, the Control & Automation
Research Group, now the Power Electronics, Machines and
Control Research Group, and co-founded the Scientific and
Technological Equipment Centre. He is past Head of the
EE School, Vice Rector for Academic Affairs and Director
of the Research & Development Institute at SUT. He
teaches postgraduate and undergraduate courses in Electric
Circuits and Automatic Control. Before coming to SUT,
Korat, he was a lecturer at the Royal Thai Air Force
Academy from 1988-1993.
11:00 – 11:30 COFFEE BREAK
Location: Siam Foyer
11:30 – AsiaMIC KEYNOTE SPEAKER – “THE
ROLES OF METAHEURISTICS ON CONTROL
DESIGN OPTIMIZATION AND IDENTIFICATION
RESEARCH”
Presenter: Dr. Sarawut Sujitjorn (Thailand)
Location: Siam B Room
Many challenging applications in science, engineering and
technology can be formulated as optimization problems.
Some of them are complex and difficult to solve by an
exact method within a reasonable amount of time. These
problems usually contain multiple local solutions that can
easily trap inefficient algorithms. Approximate algorithms
are alternatives; among those metaheuristics have been
main tools for solving this large class of problems.
Numerous metaheuristics are multi-discipline involving AI,
soft-computing, computational intelligence, mathematical
programming, operation research, and biology. In recent
years, efficient metaheuristics have been developed for
combinatorial, continuous, and multi-objective
optimization problems; they have found many successful
real-world applications. Foremost applications include
multi-objective control design optimization and complex
model identification.
Prof Sujitjorn has worked in academia for over 20 years
and has published over 150 research and technical papers,
17 patents, three books and one monograph. His research
interests span the areas of control, electrical machine,
power converter and computing, particularly the
application of metaheuristics to modelling, identification
and control. He also serves the National Research Council
of Thailand as sub-committee member and reader.
12:30 – LUNCH BREAK
TBA
This lecture will deliver an orientation on metaheuristics,
the quests on performance and convergence of algorithms,
multi-objective control design optimization problems,
model identification problems, generic, and specific
algorithms. Illustrative algorithms are multi-path adaptive
tabu search and co-operative adaptive bacterial-foragingtabu-search algorithms. The following case studies serve to
demonstrate the practicality and effectiveness of the
algorithms:
14:00 – AsiaPES KEYNOTE SPEAKER – “PHASOR
MEASUREMENTS AS SMART DEVICE FOR
OBSERVING POWER SYSTEM DYNAMICS”
Presenter: Prof. Yasunori Mitani (Japan)
Location: Siam A Room
Phasor Measurement Unit (PMU) is an apparatus which
detects the absolute value of phase angle in sinusoidal
signal. Here, suppose that more than two measurement
units for instantaneous voltage with short sampling time are
located distantly apart from each other. Then, we can get
multiple measured voltage data but they cannot be
compared exactly along with time since we do not know
the reference of time. However, once they are used with
GPS signal which tells us the information on exact time, it
becomes ready to get phase differences among them. Thus,
identification of Stribeck friction model on a linear
slide bed,
computational stability analysis based-on
Lyapunov's direct method, and
extreme control design optimization of a road-way
simulator.
6
PMU with GPS receiver is applied to the monitoring of AC
power system dynamics and usually installed at substations
of transmission lines.
769-039
PID Control for Micro-Hydro Power Plants based on
Neural Network
Lie Jasa, Ardyono Priyadi, and Mauridhi H. Purnomo
(Indonesia)
On the other hand, our group is developing the system with
PMUs installed at user power outlet; 100V in Japan and
240 V in Thailand. In Japan we are developing a power
system monitoring system with PMUs installed at
University’s campuses, which is called Campus WAMS
(wide area measurement system). As a result, we can
monitor the wide area power system stability and dynamics
viewed from user side. In addition, we have developed a
signal processing method with an FFT filtering or a wavelet
transformation to eliminate the noises of voltage around
user power outlets and a method to identify an equivalent
vibration model for the evaluation of power system stability
with the processed signals. The PMU system provides us
useful information on phasor voltage distributions on the
power system map. From these data we can get the
dynamic behaviors of power flows. In this context the PMU
system is expected as a new device to support the smart
grid.
769-053
Evapotranspiration Prediction using System Identification
and Genetic Algorithm
Robiah Ahmad, Saiful Farhan Mohd Samsuri, and
Mohd Zakimi Zakaria (Malaysia)
15:30 – ACSE SESSION 2 – SOFTWARE
ENGINEERING, COMPUTATIONAL
INTELLIGENCE AND DATA MINING (B)
Chairs: TBA
Location: Siam C Room
770-014
Hybrid Algorithm using Genetic Algorithm and EDA
Introducing Partial Search
Kenji Tamura (Japan)
This keynote speech presents some results on the power
system observation in Japan and in South-East Asia
(Singapore-Malaysia and Thailand).
770-034
A Hybrid CS/DE Algorithm for Global Optimization
Mansooreh Soleimani, Shahriar Lotfi, and
Amirhossein Ghodrati (Iran)
Yasunori Mitani received the B.S., M.S., and D.Eng.
Degrees in electrical engineering from Osaka University,
Osaka, Japan, in 1981, 1983, and 1986, respectively.
Currently he is a Professor in the Department of Electrical
Engineering, Kyushu Institute of Technology, Fukuoka,
Japan. He was a Visiting Research Associate at the
University of California, Berkeley from 1994 to 1995. His
research interests are in the areas of analysis and control of
power systems.
770-044
Implementation of Hybrid Naive Bayesian-Decision Tree
for Childhood Obesity Predictions
Muhamad Hariz B. Muhamad Adnan, Wahidah Husain,
and Nur`Aini Abdul Rashid (Malaysia)
15:00 – 15:30 COFFEE BREAK
Location: Siam Foyer
770-019
An Interdisciplinary Approach to Automatically Capture
Knowledge in Dialogues on the Spot
Keedong Yoo (Korea)
15:30 – AsiaMIC SESSION 2 – ARTIFICIAL
INTELLIGENCE AND SOFT COMPUTING (B)
Chairs: TBA
Location: Siam B Room
770-015
Influence Nets based Decision Support System
Sajjad Haider, Samad Hassan, and Mohammad Nishat
(Pakistan)
769-018
Complete Stability Ranges of a Class of Interval Matrices The Stability Feeler Approach
Tadasuke Matsuda, Michihiro Kawanishi, and Tatsuo
Narikiyo (Japan)
769-013
Wavelet Feature Selection using Genetic Algorithms for
Text Independent Speaker Recognition
Shung-Yung Lung (Taiwan)
7
769-024
Petri Net Representation of Switched Stochastic Systems
Jiaying Ma, Jueliang Hu, Zuohua Ding, and Jing Liu
(PR China)
Tuesday, April 3, 2012
08:30 – AsiaMIC SESSION 3 – FAULT ANALYSIS
AND PROCESS SYSTEMS
Chairs: TBA
Location: Siam B Room
769-036
Impact-Echo Non-Destructive Testing and Evaluation with
Time-Frequency Process and Analysis
Mark Emde and Ruichong Zhang (USA)
769-026
Modelling Researches of the Limitations for FaultTolerance Measurements of Ultra Small Displacements and
Vibrations
Alexander V. Liapidevskiy, Vadim A. Zhmud,
Denis O. Tereshkin, and Vladimir I. Gololobov (Russia)
08:30 – ACSE SESSION 3 – COMPUTER
NETWORKS, COMMUNICATION AND WEB
TECHNOLOGIES
Chairs: TBA
Location: Siam C Room
769-015
The Improvement of Modulating Function Method for Fast
Identification of Parameter Faults in Linear Continuous
Systems
Witold Byrski and Jędrzej Byrski (Poland)
770-002
Analysis of IPTV Traffic over Computer Communication
Networks
Nader F. Mir, Mohit Vashisht, and Sagar Agarwal (USA)
769-016
Tolerating Permanent Changes of State Transitions in
Asynchronous Machines
Seong Woo Kwak and Jung-Min Yang (Korea)
770-025
A Framework for Evaluation of 3G Communication
Systems
Freeha Azmat and Junaid Imtiaz (Pakistan)
769-041
Effects of Foot Shape on Fault Tolerant Gaits of a
Quadruped Robot
Seong Woo Kwak and Jung-Min Yang (Korea)
770-030
Improvement on Enhanced Secure Anonymous
Authentication Scheme for Roaming Service in Global
Mobility Networks
Iuon-Chang Lin and Chen-Hsiang Chen (Taiwan)
769-011
Determining Water Patterns in Chakmak Canal and Pradoo
Bay, Rayong Province, Thailand
Nuanchan Singkran (Thailand)
770-020
Application of Wireless Sensor Networks to the In-Line
River Monitoring of Nitrate
Alberto Bonastre, Juan Vicente Capella, Rafael Ors, and
Miguel Peris (Spain)
769-021
Tracking of Choke Pressure during Managed Pressure
Drilling
Espen Hauge, Ole Morten Aamo, and John-Morten
Godhavn (Norway)
770-013
Personalizing the User's Physical Environment in a
Pervasive System
Elizabeth Papadopoulou, Sarah Gallacher, Nick K. Taylor,
and Howard Williams (UK)
769-045
Dynamic Modelling of Gas Rising in a Wellbore
Espen Hauge, John-Morten Godhavn, Øyvind N. Stamnes,
and Ole Morten Aamo (Norway)
770-051
Lifelog Ontology Schema Definition for Personal
Identification
Yuuki Hotta, Haruki Ogata, and Ryuya Uda (Japan)
769-032
Studies on the Measurement of Achievement in Simple
Arithmetic Drills from the Inflections of Event-Related
Potentials
Miki Shibukawa, Mariko Funada, and Yoshihide Igarashi
(Japan)
770-036
GuideME: An Effective RFID-based Traffic Monitoring
System
Fadi Aloul, Assim Sagahyroon, Ali Nahle, Makram Abou
Dehn, and Raneem Al Anani (UAE)
8
10:30 – 11:00 COFFEE BREAK
Location: Siam Foyer
6. Firefly synchronization: This nonlinear model for
microcontroller design will be illustrated and discussed.
11:00 – AsiaMIC SESSION 3 CONTINUED
Location: Siam B Room
Timeline
Time allocations for the major course topics
1. Overview on biologically-inspired schemes (30 minutes)
2. Social insects and insect colony (30 minutes)
3. Epidemic worm spreading (30 minutes)
4. Artificial immune systems (30 minutes)
5. Cognitive networks (30 minutes)
6. Homeostatic communication systems (30 minutes)
7. Firefly synchronization (30 minutes)
11:00 – ACSE SESSION 3 CONTINUED
Location: Siam C Room
12:00 – LUNCH BREAK
TBA
14:00 – AsiaMIC TUTORIAL SESSION –
“BIOLOGICALLY-INSPIRED COMMUNICATION
AND NETWORKING”
Presenter: Asst. Prof. Mohamed Hamdi (Tunisia)
Location: Siam B Room
The level of presentation assumes that the attendees have a
background knowledge in computer science and
communication network architectures. More precisely, the
key pre-requisites relate to algorithms and data structures,
network protocols, and communication architectures.
Bio-inspired networking and communication protocols and
algorithms are devised by considering biology as source of
inspiration, and by adapting behaviors, laws, and dynamics
governing biological systems. While the literature related to
biologically-inspired computing is abundant, the focusing
on the application of biological concepts in networking is
still in infancy. In this tutorial, we address the applicability
of biological mechanisms and techniques in various
communication fields. Particularly, we explore the
mechanisms and the challenges in embedded
communication systems with primary focus on recent
applications of bio-inspired techniques in communication
networks. Nonetheless, the results that have been reached
so far show that this area is very promising.
Dr. Mohamed Hamdi (PhD, habilitation) co-authored
more than 80 scientific publications published in
international journals and conferences. He has also chaired
and co-chaired international conferences and special issues
in international conferences including the ‘Trust, Security,
and Privacy’ symposium in the IEEE IWCMC 2012
conference and for the special issue on ‘Web Services in
Multimedia Communication’ for the journal on Advances
in Multimedia. He presented multiple tutorials and invited
speeches in international conferences such as the GEOSS
Forum (Globecom 2011). In addition, Dr. Hamdi has been
invited at the ITU World Telecom conference to serve as a
panellist in a forum on the security of social networks. He
also passed prestigious professional certifications including
the CISSP and the CISCO Security certifications. He is
conducting research activities in the areas of wireless
sensor networks, risk management, algebraic modeling,
relational specifications, intrusion detection, and network
forensics.
Objectives
The tutorial is at the graduate school level and is accessible
to postgraduate level. It is intended to introduce the tutees
to the biologically-inspired concepts that are being
intensively used by the scientific community in the
computer science and communication networks fields.
14:00 – ACSE TUTORIAL SESSION – “LATEST
APPLICATIONS IN COMPUTER NETWORKS:
FROM IPTV TO MOBILE MULTIMEDIA
NETWORKS”
Presenter: Prof. Nader F. Mir (USA)
Location: Siam Room
The content of the tutorial is structured as follows:
1. Social insects and insect colony: The use of insect
mobility models to solve optimization algorithms will be
illustrated.
2. Epidemic worm spreading: Stochastic models for the
propagation of digital worms will be investigated.
3. Artificial immune systems: Security and protection
systems that mimic natural immunity systems will be
described.
4. Cognitive networks: This new concept, which is
becoming very popular in the context of wireless networks
and radio communications, will be studied.
5. Homeostatic communication systems: The use of
homeostasis in self-organizing ad hoc and sensor networks
will be addressed.
We are witnessing the Internet applications such as mobile
multimedia over IP network technology being destined to
play an increasingly important role in communication
systems. With the demand for multimedia applications,
there will be a growing interest in identifying suitable
network architectures and transmitting facilities for this
technology. Communication industry has spent
considerable effort in designing an IP-based media
transport mechanism, voice over IP (VoIP), and multimedia
9
networks that can deliver voice-band telephony with the
quality of the telephone networks. The Internet offers
phone services less expensive and with numerous
additional features such as video conferencing, online
directory services, and the Web incorporation.
appropriate application on the destination system, using
real-time protocols. The most widely applied protocol for
real-time transmission is the Real-Time Transport Protocol
(RTP), including its companion version: Real-Time Control
Protocol (RTCP). UDP cannot provide any timing
information. RTP is built on top of the existing UDP stack.
Real-time applications may use multicasting for data
delivery.
In this tutorial, we present the fundamentals the latest
applications in computer networks. Applications such as
Video on Demand (VoD) IPTV, VoIP, and also Multimedia
over IP networks schemes. We explain the transportation of
real-time signals along with the signaling protocols used in
voice over IP (VoIP) telephony and multimedia
networking. The tutorial covers the signaling protocols as
H.323 series of protocols, and Session Initiation Protocol
(SIP) which are responsible for session signaling. The
H.323 protocols interact to provide ideal telephone
communication, providing phone numbers to IP address
mapping, handling digitized audio streaming in IP
telephony, and providing signaling functions for call setup
and call management. The H.323 series support
simultaneous voice and data transmission and can transmit
binary messages that are encoded using basic encoding
rules. We also review the Session Initiation Protocol (SIP)
as one of the most important VoIP signaling protocols
operating in the application layer of TCP/IP model. SIP can
perform both unicast and multicast sessions and supports
user mobility and handles signals and identifies user
location, call setup, call termination, and busy signals. SIP
can use multicast to support conference calls and uses the
Session Description Protocol (SDP) to negotiate
parameters.
We also cover video streaming that presents a significant
challenge to network designers. A video in a single server
can be streamed from a video server to a client at the client
request. The high bit-rate video streaming must sometimes
pass through many Internet service providers, leading to the
likelihood of significant delay and loss on video. One
practical solution to this challenge is to use content
distribution networks (CDNs) for distributing stored
multimedia content. Video streaming, e-mail, and image
packets in the best-effort Internet are mixed in the output
queue of the main exit router of a domain. Under such
circumstances, a burst of packets, primarily from the image
file source, could cause IP video streaming packets to be
excessively delayed or lost at the router. One solution in
this case is to mark each packet as to which class of traffic
it belongs to. This can be done by using the type of-service
(ToS) field in IPv4 packets. As seen in the figure,
transmitted packets are first classified in terms of their
priorities and are queued in a first in, first out (FIFO) order.
The priority of an image file can be equal to or less than the
one for video streaming, owing to the arrangement of
purchased services.
The tutorial further covers Compression of multimedia
components such as Digital Voice and Video, focusing on
data-compression techniques for voice and video to prepare
digital voice and video for multimedia networking will be
[resented. The topic starts with the analysis of informationsource fundamentals, source coding, and limits of data
compression and explains all the steps of the conversion
from raw voice to compressed binary form, such as
sampling, quantization, and encoding. The discussion also
summarizes the limits of compression and explains typical
processes of still-image and video-compression techniques,
such as JPEG, MPEG, and MP3.
The Tutorial will then focus on the Stream Control
Transmission Protocol (SCTP) providing a general-purpose
transport protocol for message-oriented applications. SCTP
is a reliable transport protocol for transporting stream
traffic, can operate on top of unreliable connectionless
networks, and offers acknowledged and non-duplicated
transmission data on connectionless networks. SCTP has
the following features. The protocol is error free. A
retransmission scheme is applied to compensate for loss or
corruption of the datagram, using checksums and sequence
numbers. It has ordered and unordered delivery modes.
SCTP has effective methods to avoid flooding congestion
and masquerade attacks. This protocol is multipoint and
allows several streams within a connection. In TCP, a
stream is a sequence of bytes; in SCTP, a sequence of
variable-sized messages. SCTP services are placed at the
same layer as TCP or UDP services. Streaming data is first
encapsulated into packets, and each packet carries several
correlated chunks of streaming details. The Tutorial will
ultimately present multimedia over general Wireless and
WiMAX networks.
The tutorial will then present real-time transport protocols,
such as Real-Time Transport protocol (RTP) and the RealTime Control Protocol (RTCP). The next topic is streaming
video in a single server, using content distribution networks
(CDNs). Also discussed is the Stream Control
Transmission Protocol (SCTP), which provides a generalpurpose transport protocol for transporting stream traffic.
The tutorial describes detailed streaming source modeling
and analysis. In real-time applications, a stream of data is
sent at a constant rate. This data must be delivered to the
10
Nader F. Mir received a B.Sc. degree with honors in
electrical and computer engineering in 1985 and MSc and
PhD degrees, both in electrical engineering, from
Washington University in St. Louis, in 1990 and 1994,
respectively.
Timeline
Overview of IP Telephony (0.5 hour)
•VoIP Signaling Protocols
•H.323 Protocols
•Session Initiation Protocol (SIP)
•Softswitch and MGCP
Overview of Digital Voice and Compression (1 hour)
•Signal Sampling
•Quantization and Distortion
•Still Images and JPEG Compression
•Raw-Image Sampling and DCT
•Quantization and Encoding
•Moving Images and MPEG Compression
•MP3 and Streaming Audio
•Limits of Compression with Loss
•Basics of Information Theory
•Entropy of Information
•Shannon’s Coding Theorem
•Compression Methods Without Loss
•Run-Length Encoding
•Huffman Encoding
•Lempel-Ziv Encoding
•FAX Compression for Transmission
Video Streaming Applications and Real-Time Media
Transport Protocols (1 hour)
•Real-Time Transport Protocol (RTP)
•Real-Time Control Protocol (RTCP)
•Estimation of Jitter in Real-Time Traffic
•Distributed Multimedia Networking
•Stream Control Transmission Protocol (SCTP)
•SCTP Packet Structure
•Self-Similarity and Non-Markovian Streaming Analysis
•Self-Similarity with Batch Arrival Models
•Content Distribution Networks (CDNs)
•CDN Interactions with DNS
•Multimedia Security
•Providing QoS to Streaming
•IPTV
•Video on Demand (VOD) Technology
Mobile multimedia and Voice and Video Streaming over
Wireless Networks (1 hour)
•Introduction to WiMAX technology
•Mobile Transport Protocols
•Mobile Computing and Mobile IP
•TCP and UDP for Mobility
•Protocols for Voice over Mobile IP
•Protocols for Video Streaming over Mobile IP
He is currently a Professor and Department Associate
Chairman of Electrical Engineering at San Jose State
University, California. He is also the Director of the MSE
Program in Optical Sensors Networks for Lockheed Martin
Space Systems.
His research interests are analysis of computer
communication networks, design and analysis of switching
systems, network design for wireless ad hoc, internet and
sensor systems, information systems and applications of
digital integrated circuits in computer communications.
16:00 – 16:30 COFFEE BREAK
Location: Siam Foyer
16:30 – AsiaMIC TUTORIAL SESSION CONTINUED
Location: Siam B Room
16:30 – ACSE TUTORIAL SESSION CONTINUED
Location: Siam C Room
19:00 – Dinner Banquet
Location: TBD
Audience can be from academia or industry. Any
individual with basic knowledge of computer science and
engineering can benefit from this tutorial.
11
769-059
Study on Bird Flu Infection Process within a Poultry Farm
with Modeling and Simulation
Masaji Watanabe (Japan) and Tertia Delia Nova
(Indonesia)
Wednesday, April 4, 2012
08:30 – AsiaMIC SESSION 4 – MODELLING AND
IDENTIFICATION
Chairs: TBA
Location: Siam B Room
08:30 – AsiaMIC SESSION 5 – OPTIMIZATION AND
CONTROL APPLICATIONS
Chair: TBA
Location: Siam C Room
769-044
Modelling Dependencies and Couplings in the Design
Space of Meshing Gear Sets
Mohammad Rajabalinejad (The Netherlands)
769-012
Memoryless Solution to the Infinite Horizon Optimal
Control of LTI Systems with Delayed Input
Francesco Carravetta, Pasquale Palumbo, and
Pierdomenico Pepe (Italy)
769-030
Internal Model Control of Piezoelectric Actuator based on
Sandwich Model with Hysteresis
Yangqiu Xie, Yonghong Tan, Ruili Dong, and Hong He
(PR China)
769-029
An Optimizing Parameter-Tuning of Multi-Loop
Controllers for Boiler Combustion Process
Hong He and Yonghong Tan (PR China)
769-086
A Model Reflecting the Changes of ERPs during Repeated
Learning of Calculations
Mariko Funada, Yoshihide Igarashi, Tadashi Funada, and
Miki Shibukawa (Japan)
769-087
Optimal Frequency Regulation of a Single-Area Power
System
Sayed Z. Sayed Hassen and Mohamed I. Jahmeerbacus
(Mauritius)
769-065
A Bayes Shrinkage Estimation Method for Vector
Autoregressive Models
Sung-Ho Kim and Namgil Lee (Korea)
769-082
Optimal Vibration Control of a Rectangular
Piezothermoelastic Plate
Marwan Abukhaled and Ibrahim Sadek (UAE)
769-027
Linear System Analysis and State Observer Design of Grid
Connected Inverter Model based on System Identification
Nopporn Patcharaprakiti, Jatturit Thongprong,
Krissanapong Kirtikara, and Jeerawan Saelao (Thailand)
769-028
Local Controllability of Fractional Discrete-Time
Semilinear Systems with Multiple Delays in Control
Jerzy Klamka (Poland)
769-004
A Short Contribution on Efficient Modelling of Parallel
Queues
Nader F. Mir (USA)
769-083
Enhanced Simplified Decoupling for Multivariable
Processes with Multiple Time Delays
Truong Nguyen Luan Vu and Moonyong Lee (Korea)
769-069
3D Modeling of a Class of Objects in Different
Engineering Analysis Field
Mei Chen, Fei Zheng, and Na Li (PR China)
769-096
Active Noise Control in Large Industrial Halls
Marek Pawelczyk (Poland)
769-071
Modeling of a Large Deployable Space Antenna Structure
Fei Zheng, Mei Chen, and Peng Li (PR China)
769-005
Applying Posture Identifier and Backstepping Method in
the Design of an Adaptive Nonlinear Predictive Controller
for Nonholonomic Mobile Robot
Ahmed S. Al-Araji (Iraq), Maysam F. Abbod, and
Hamed S. Al-Raweshidy (UK)
769-006
The Novel Analytical Probabilistic Model of Random
Variation in the MOSFET’s High Frequency Performance
Rawid Banchuin (Thailand)
12
769-089
Fractional Order Controller and its Applications: A Review
Swati Sondhi and Yogesh V. Hote (India)
769-056
Simulation and Comparative Studies of Dead Space
Loading for Human Respiratory Control under Exercise
and CO2 Inhalation
Shyan-Lung Lin and Nai-Ren Guo (Taiwan)
769-061
A Cost-Effective, Robust and an Efficient Design of a
Motor Controller for UGVs
Soyiba Jawed, Freeha Azmat, and Muhammad Z. Khan
(Pakistan)
769-095
The Application of GPU-based K-Means in Analysis of
RFID Data
Huifang Deng, Zhen Liang, and Chunhui Deng (PR China)
10:30 – 11:00 COFFEE BREAK
Location: Siam Foyer
769-050
Mold Filling Simulation in the Injection Molding Process
with OpenFOAM Software for Non-Isothermal Newtonian
Fluid
Farivar Fazelpour, Majid Vafaeipour, Habib Etemadi,
Amir Dabbaghian, Raoof Bardestani, and
Mohammadreza Dehghan (Iran)
11:00 – AsiaMIC SESSION 4 CONTINUED
Location: Siam B Room
11:00 – AsiaMIC SESSION 5 CONTINUED
Location: Siam C Room
769-035
Anomaly Detection based on GA&FART Approach of
Computer Network Security
Preecha Somwang, Woraphon Lilakiatsakun, and Surat
Srinoy (Thailand)
12:30 – LUNCH BREAK
TBA
14:00 – AsiaMIC SESSION 6 – RECENT ADVANCES
IN MIC AND THEIR APPLICATIONS
Chairs: TBA
Location: Siam C Room
769-051
Causal Impact Price Transmission of the Rice Markets in
Thailand
Wanvilai Chulaphan (Taiwan), Chalermpon Jatuporn
(Thailand), Shwu-En Chen (Taiwan), and
Pattana Jierwiriyapant (Thailand)
769-031
Firmware for the Receiving and Processing of
Meteorological Information from the Space Satellites
“AKTOMIKA”
Alexander V. Liapidevskiy, Vladimir I. Gololobov,
Vadim A. Zhmud, Anton V. Zakharov, and
Aleksey S. Drozdov (Russia)
769-033
An Intelligent Flow Measurement Scheme using Ultrasonic
Flow Meter
Santhosh K. Venkata and Binoy K. Roy (India)
769-054
Modelling of a Hobbing Tool Series for Generating Spur
Gears with Circular Fillet
Andromachi N. Zouridaki (Greece)
15:00 – 15:30 COFFEE BREAK
Location: Siam Foyer
769-010
A Web System that Allows for Decision-Making through
Citizen Participation
Mahito Hosoi and Yukio Uchida (Japan)
15:30 – AsiaMIC SESSION 6 CONTINUED
Location: Siam C Room
************************************************
IASTED would like to thank you for attending
AsiaMIC and ACSE 2012. Your participation helped
make this international event a success, and we look
forward to seeing you at upcoming IASTED events.
************************************************
769-078
Analysis, Evaluation, and Design of an Overlapped
Ultrasonic Sensor Ring for Minimal Positional Uncertainty
in Obstacle Detection
Sungbok Kim and Hyunbin Kim (Korea)
13
Proceedings of the IASTED Asian Conference
Modelling, Identification, and Control (AsiaMIC 2012)
April 2 - 4, 2012 Phuket, Thailand
PID CONTROL FOR MICRO-HYDRO POWER PLANTS BASED
ON NEURAL NETWORK
Lie Jasa A), Ardyono Priyadi B), Mauridhi Hery PurnomoC)
Electrical Engineering Udayana University, Bali, Indonesia. Email: [email protected]
B)
Electrical Engineering of Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia. Email: [email protected]
C)
Electrical Engineering of Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia. Email: [email protected]
A)
ABSTRACT
Micro-hydro power plants are power plants with
small capacity, which is built in specific locations. The
main problem of micro-hydro is the voltage generated is
not stable at 220 VA and frequency of 50 Hz. A microhydro that was constructed by Lie Jasa et al. in Gambuk
village at Pupuan sub-district, Tabanan district of Bali
province, Indonesia in 2010 is still an open loop system in
which spin turbine is stable when it is set from the high
water level in reservoirs. This will be problematic when
the generator load changes. This study will overcome the
problem by proposing to build a closed loop system from
the change in output frequency for the control circuit. The
control circuit is a circuit constructed neural networkbased PID control by using the Brandt-Lin algorithm to
control the governor. The governor function is to regulate
the amount volume of water running into turbine. By
applying Matlab simulation, the result shows that the best
output is obtained when the the change in frequency will
stabilize at about 40 seconds and using the value of Kp =
0.0637533, Ki=0.00021801 and Kd=0.00301846.
KEY WORDS
PID, Turbine, Neural network, Micro-hydro, Frequency
tuning of PID controller using Particle Swarm
Optimization (PSO) algorithm [9], and Design for Autotuning PID controller based on Genetic Algorithms [10].
The study specifically control systems based on PID
neural network with Brandt-Lin algorithm to control the
micro-hydro that does not exist. Researchers have also
studied micro-hydro using PI controller based on NNperceptron [1], however, there is no research on PID
control system is based Neural Network with Brandt-Lin
algorithm. This paper discusses this system to determine
the values of Ki, Kp and Kd simulated with a micro-hydro
plants, which has already existed [13].
The main purpose of this paper is to build a modelbased neural network PID control that is used to control
the Micro-Hydro Power (MHP). This control is set to be
able to control the turbine rotation to become stable at a
certain round when the load changes. The system is a
closed loop control using feedback from the output of the
generator. By adjusting the volume of water from the spill
away through the governor, the turbine rotation can be
maintained automatically. With the stability of turbine
rotation, the generator will generate a voltage stabilized at
220 VA with a frequency of 50 Hz.
2. Plant Models and Control for MHP Plants
DOI: 10.2316/P.2012.769-039
Integral
There is a growing research related to micro-hydro,
such as the advanced control of micro-hydro [1], the
simulation of ANN Controller of Automatic Generation
Control micro-hydro [2], Artificial Neural Networks to
Predict River Flow Rate into Dam of Micro-hydro [3].
Scholars also have studied neural network focused on
control sensor base linearization Neural Network [4], and
Experimental Study of Neural Network Control System
for Micro Turbines [5]. Research on a series of neuralbased PID control with a variety of algorithms has also
been conducted, such as PID-Neural Controller based on
the AVR Atmega 128 [6], the PID-Controller based on
BP neural network in the application of wind power
generation [7], Application of Neural Network to LoadFrequency Control in Power Systems [8], Automatic
Automatic control system of micro-hydro is built in a
closed loop. First some water are flow in the valve, it
continue to the spill way and rotate the turbine.
Water
Valve
controller
1. Introduction
Delta
Frequency
Frequency
set point
60 Hz
+
Frequency
Output
Sensor
Frequency
-
Speed
Change
Regulator
Amplifier
Generator
Turbine
Figure 1. System Control of Micro-Hydro
The generator will produces electricity in the next
step and output it will through on the sensor frequency.
The frequency measurement will be compared with the
reference frequency. Difference frequency ( f) will be
entered into the control integrator. It will used to set and
behind the valve. The Illustration it is of control system
shown in Fig 1.
output of generator of the frequency of 50Hz and voltage
at 220V. This problem becomes a central focus on this
research.
Plants models for MHP plant was controlled using a
servo motor as governor in the study by M. Hanmandlu
[1]. Consists of five blocks: (1). PI control, (2). Governor,
(3). Servo motor, (4). Turbine and (5). Generator, Detail
of model MHP as shown in Fig 2.
1/R
PI
1
1
(1-sTw1)
Kp
(1+sT2)
(1+sT3)
(1+0.5sTw1)
1+sTp
Figure 3. Existing Plant Model MHP at Gambuk,
Pupuan, Tabanan, Bali, Indonesia[13]
PL
Figure 2. Model of MHP using servomotor as a
Governor [1]
The transfer function for the servo motor based governor
was written like equation 1 as :
G( s) =
1
1
(1 + sT )1 (1 + sT2 )
......................................1)
Where T1 = mechanical time constant and T2 =
Electronic time constant. In addition, unity gain is applied
as a feedback. A PI Controller with the following transfer
function is superimposed on the servomotor based
governor as :
Figure 4. Existing Turbine Plant Model MHP [13]
Ki
G ( s ) = Kp +
s
...................................................2)
Where Kpl = Proportional constant, Ki = Integral sonstant
2.1 Existing Plant Model
Plant models of a micro-hydro that was constructed
by Lie Jasa et al. in Gambuk village at Pupuan subdistrict, Tabanan district of Bali province, Indonesia in
2010. Existing Plant Model MHP shown in Fig. 3. The
part components of the plant were: 1). 2 meters diameter
of water turbine; 2). 25 meters of spill away; 3). Tansfer
pulley; and 4). generator. The video of this plant can be
watched
on
http://www.youtube.com/watch?v=IdyVX_1RQGs. The
plant is now capable to generate electrical energy of
approximately 1000 VA 5000 VA installed capacity. The
amount can be supplied to 10 houses for power at night.
The plant, however, has not been yet equipped with the
control circuit that can control the governor to produce the
a.
Spill away
Spill away is used to channel water from top to
bottom and direct the water flow onto the turbine. The
length of pipe diameter will affect the volume of water
that runs. The larger the volume of water passes the
bigger water impetus to the turbine. The spill away allows
placing micro-hydro in the secure area from flooding
during the wet season.
b.
Governor
To set the influx of water from spill away to the
turbine, governor is used. Governor model can be
classified in several forms, such as hydraulic mechanical,
electro-hydraulic and mechanical governor. Which
governor used is based on the size of spill away that has
been set. To set governor, so far it is done manually by an
operator. Arrangements are made by turning the faucet on
the end of spill away.
c.
Water turbine
b. Brandt-Lin Algorithm Neural Network
Turbines are used to change water energy into
mechanical energy. Turbine that is connected with some
pulleys is used to turn a generator. Past studies used
turbine [13] sizing diameter of 2 meters, width of 30 cm,
weight of 300 kg and material of iron. The larger the
volume of water turning turbine, the greater mechanical
energy produced. Besides the volume of water, water
pressure falls on the turbine help to speed the turbine
rotation. Overshot water turbines works with the water
that falls into the blades of upper side, because of the
gravity of water, turbine wheel can spin. Existing of
turbine plant model MHP is show Fig. 4.
The Brandt-Lin algorithm which is originated from
gradient descent considers a complex system consisting of
subsystems, called nodes which interact with each other
through connection weights. Fig. 6 shows
I D EN TI FI CATI ON AN D CON TROL ( Asia M I C 2 0 1 2 )
April, 2-4 2012. At, NUVOTEL PHUKET RESORT, T.PATONG, PHUKET, THAILAND
LAM AN : http:/ / w w w .actapress.com/ Abstract.aspx?paperId=453790
PRELIMINARY CONFERENCE PROGRAM
The 31st IASTED Asian Conference on
Modelling, Identification, and Control (AsiaMIC 2012)
&
th
The 7 IASTED International Conference on
Advances in Computer Science and Engineering (ACSE 2012)
April 2 – 4, 2012
Phuket, Thailand
G. K. Adam – Technological Educational Institute of
Larissa, Greece
J. C. Amaro Ferreira – ISEL, Portugal
C. Angeli – Technological Institute of Piraeus, Greece
W. Assawinchaichote – King Mongkut's University of
Technology Thonburi, Thailand
F. Assous – Ariel University Center, Israel
H. Attia – McGill University and National Research
Council Canada, Canada
J. Boaventura – University of Tras-os-Montes and Alto
Douro, Portugal
W. Borutzky – Bonn-Rhein-Sieg University of Applied
Sciences, Germany
X. Chen – Shibaura Inst. of Tech., Japan
J. H. Chin – National Chiao Tung University, Taiwan
T. Dhaene – Ghent University, Belgium
A. Dolgui – School of Mines of Saint-Étienne, France
D. Dutta – Monash University, Australia
R. Dutta – University of New South Wales, Australia
J. Dvornik – University of Split, Croatia
A. Elkamel – University of Waterloo, Canada
L. Fan – Shenyang Institute of Chemical Technology, PR
China
P. Fishwick – University of Florida, USA
E. Furutani – Kyoto University, Japan
W. Ghie – Université du Québec en AbitibiTémiscamingue, Canada
D. Gorgan – Technical University of Cluj-Napoca,
Romania
G. A. Gravvanis – Democritus University of Thrace,
Greece
V. Grout – Glyndwr University, UK
K. E. Häggblom – Åbo Akademi University, Finland
D. He – CSSI, Inc., USA
R. Henriksen – Norwegian Univ. of Science and
Technology, Norway
D. Honc – University of Pardubice, Czech Republic
G. Horton – University of Magdeburg, Germany
E. Innocenti – University of Corsica, France
I. Jesus – Institute of Engineering of Porto, Portugal
V. Jotsov – SULSIT-State University in Sofia, Bulgaria
B. Kaewkham-ai – Chiang Mai University, Thailand
T. Kawabe – University Tsukuba, Japan
LOCATION
Novotel Phuket Resort
Kalim Beach, Patong
Phuket 83150 Thailand
MODELLING, IDENTIFICATION AND
CONTROL (AsiaMIC 2012)
SPONSORS
The International Association of Science and Technology
for Development (IASTED)
Technical Committee on Control and Intelligent
Systems
Technical Committee on Modelling and
Simulation
International Journal of Modelling and Simulation
World Modelling and Simulation Forum
(WMSF)
CONFERENCE CHAIR
Assc. Prof. Wudhichai Assawinchaichote - King
Mongkut's University of Technology Thonburi, Thailand
TUTORIAL CHAIR
Dr. Sarawut Sujitjorn - Suranaree University of
Technology, Thailand
TUTORIAL SESSION
Asst. Prof. Mohamed Hamdi - Engineering School of
Communication (Sup'Com), Tunisia
KEYNOTE SPEAKER
Dr. Sarawut Sujitjorn - Suranaree University of
Technology, Thailand
INTERNATIONAL PROGRAM COMMITTEE
F. Abdul Aziz – Universiti Putra Malaysia, Malaysia
J. Abonyi – The University of Veszprém, Hungary
1
S. H. Kim – Korea Advanced Institute of Science and
Technology, Korea
C. Kyrtsou – University of Macedonia, Greece
K. Lavangnananda – King Mongkut’s University of
Technology Thonburi, Thailand
S. Lazarova--Molnar – United Arab Emirates University,
UAE
S. Liang – Chongqing University, PR China
A. Løkketangen – Molde University College, Norway
M. Lotfalian – University of Evansville, USA
P. Mahanti – University of New Brunswick, Canada
K. L. Man – Xi'an Jiaotong-Liverpool University , PR
China
T. Masood – Cranfield University, UK
R. V. Mayorga – University of Regina, Canada
N. Melao – Catholic University of Portugal, Portugal
S. Mitaim – Thammasat University, Thailand
Y. Morita – JAXA, Japan
P. Nahodil – Czech Technical University in Prague, Czech
Republic
S. Narayanan – Wright State University, USA
T. Niculiu – University , Romania
G. Nikolakopoulos – University of Patras, Greece
H. Oya – The University of Tokushima, Japan
G. Petuelli – South-Westphalia University of Applied
Sciences, Germany
C. Pinto – Instituto Superior de Engenharia do Porto,
Portugal
M. Poboroniuc – The Gheorghe Asachi Technical
University of Iasi, Romania
M. M. Polycarpou – University of Cyprus, Cyprus
P. Pongsumpun – King Mongkut's Institute of Technology
Ladkrabang, Thailand
Y. B. Reddy – Grambling State University, USA
M. Rodrigues – Sheffield Hallam University, UK
S. Sanguanpong – Kasetsart University, Thailand
Y. S. Shmaliy – Guanajuato University, Mexico
B. Singh – Lakehead University, Canada
R. Snow – Riddle Aeronautical University, USA
W. Song – National Tsing Hua University, Taiwan
R. Spolon – UNESP - State University of São Paulo, Brazil
G. Sun – Beijing University of Technology, PR China
J. A. Tenreiro Machado – Instituto Superior de Engenharia
do Porto, Portugal
A. Tornambè – University of Rome Tor Vergata, Italy
M. Trabia – University of Nevada, USA
H. Trinh – Deakin University, Australia
K. Tsakalis – Arizona State University, USA
H. Unger – Fern University in Hagen, Germany
G. Varga – University of Miskolc, Hungary
Q. G. Wang – National University of Singapore, Singapore
K. P. White – University of Virginia, USA
W. Yu – CINVESTAV-IPN (National Polytechnic
Institute), Mexico
S. H. Zeng – Beijing University of Technology, PR China
L. Zhang – Harbin Institute of Technology, PR China
T. Zhang – Tsinghua University, PR China
Z. Zhang – University of Exeter, UK
ADDITIONAL PAPER REVIEWERS
R. Lobato – UNESP - State University of Sao Paulo, Brazil
K. Zhu – CSSI, Inc., USA
2
M. Ouyang – University of Louisville, USA
N. Passos – Midwestern State University, USA
K. Piromsopa – Chulalongkorn University, Thailand
S. Ponnabalam – Monash University, Malaysia Campus,
Malaysia
J. Puustjärvi – Helsinki University of Technology, Finland
O. K. SAHINGOZ – Turkish Air Force Adademy, Turkey
M. Sekijima – Tokyo Institute of Technology, Japan
S. M. Shamsuddin – Universiti Teknologi Malaysia,
Malaysia
B. Stantic – Griffith University, Australia
K. Sundaraj – University Malaysia Perlis, Malaysia
K. Takano – Kanagawa Institute of Technology, Japan
A. Takasu – National Institute of Informatics, Japan
N. Taylor – Heriot-Watt University, UK
I. F. Vega-López – Autonomous University of Sinaloa,
Mexico
D. Wang – University of Rochester Medical Center, USA
K. L. Wen – Chienkuo Technology University, Taiwan
H. Williams – Heriot-Watt University, UK
M. E. Yahia – King Faisal University, Saudi Arabia
S. Q. Zheng – The University of Texas at Dallas, USA
ADVANCES IN COMPUTER SCIENCE
AND ENGINEERING (ACSE 2012)
SPONSORS
The International Association of Science and Technology
for Development (IASTED)
Technical Committee on Artificial Intelligence
Technical Committee on Computer Graphics
Technical Committee on Databases
Technical Committee on Parallel & Distributed Computing
& Systems
Technical Committee on Software Engineering
TUTORIAL SESSION
Prof. Nader F. Mir - San Jose State University, USA
INTERNATIONAL PROGRAM COMMITTEE
D. Alcaide – University of La Laguna, Spain
N. Amano – Okayama University, Japan
C. Anderson – Colorado State University, USA
V. Bevilacqua – Polytechnic of Bari, Italy
M. Ceci – University of Bari, Italy
J. Chandy – University of Connecticut, USA
D. Chen – Uniformed Services University of the Health
Sciences, USA
S. Chittayasothorn – King Mongkut's Institute of
Technology Ladkrabang, Thailand
D. Connors – University of Colorado, USA
A. Cuzzocrea – University of Calabria, Italy
B. Dasgupta – University of Illinois at Chicago, USA
D. Dinakarpandian – University of Missouri-Kansas City,
USA
A. DUTTA – National Institute of Technology, Durgapur.,
India
E. Fink – Carnegie Mellon University, USA
E. Grant – University of North dakota, USA
J. Guo – California State University Los Angeles, USA
P. Gupta – Microsoft Corporation, U.S.A., USA
M. Halgamuge – Department of EEE, University of
Melbourne, Australia
N. Ikram – Riphah International University, Pakistan
N. Karacapilidis – University of Patras, Greece
M. Li – Nanjing University, PR China
K. M. Liew – City University of Hong Kong, PR China
J. Lindstrom – IBM, Finland
S. Lodha – University of California, Santa Cruz, USA
P. Mahanti – University of New Brunswick, Canada
P. Netinant – Illinois Institute of Technology, USA
M. Ogiela – AGH University of Science and Technology,
Poland
PLEASE NOTE
Paper presentations are 15 minutes in length with
an additional 5 minutes for questions.
Report to your Session Chair 15 minutes before the
session is scheduled to begin.
Presentations should be loaded onto the
presentation laptop in the appropriate room prior
to your session.
End times of sessions vary depending on the
number of papers scheduled.
3
PROGRAM OVERVIEW
Monday, April 2, 2012
Tuesday, April 3, 2012
07:00 – Registration
(Siam Foyer)
08:30 – AsiaMIC Session 3 – Fault Analysis and Process
Systems
(Siam B Room)
08:30 – AsiaMIC/ACSE Welcome Address
09:00 (Siam B Room)
08:30 – ACSE Session 3 – Computer Networks,
Communication and Web Technologies
(Siam C Room)
09:00 – AsiaMIC Session 1 – Artificial Intelligence and
Soft Computing (A)
(Siam B Room)
10:30 – Coffee Break
11:00 (Siam Foyer)
09:00 - ACSE Session 1 – Software Engineering,
Computational Intelligence and Data Mining (A)
(Siam C Room)
11:00 – AsiaMIC Session 3 Continued
(Siam B Room)
11:00 – Coffee Break
11:30 (Siam Foyer)
11:00 – ACSE Session 3 Continued
(Siam C Room)
11:30 – AsiaMIC Keynote Speaker – “The Roles of
Metaheuristics on Control Design Optimization
and Identification Research” – Dr. Sarawut
Sujitjorn
(Siam B Room)
12:00 – Lunch Break
(TBA)
14:00 – AsiaMIC Tutorial Session – “Biologically–
Inspired Communication and Networking” –
Asst. Prof. Mohamed Hamdi
(Siam B Room)
12:30 – Lunch Break
(TBA)
14:00 – ACSE Tutorial Session – “Latest Applications in
Computer Networks: from IPTV to Mobile
Multimedia Networks” – Prof. Nader F. Mir
(Siam C Room)
14:00 – AsiaPES
Keynote
Speaker
–
“Phasor
Measurements as Smart Device for Observing
Power System Dynamics” – Prof. Yasunori Mitani
(Siam A Room)
16:00 – Coffee Break
16:30 (Siam Foyer)
15:00 – Coffee Break
15:30 (Siam Foyer)
16:30 – AsiaMIC Tutorial Session Continued
(Siam B Room)
15:30 – Asia MIC Session 2 – Artificial Intelligence and
Soft Computing (B)
(Siam B Room)
16:30 – ACSE Tutorial Session Continued
(Siam C Room)
15:30 – ACSE Session 2 - Software Engineering,
Computational Intelligence and Data Mining (B)
(Siam C Room)
19:00 – Dinner Banquet
(TBA)
4
Wednesday, April 4, 2012
Monday, April 2, 2012
08:30 – AsiaMIC Session 4 – Modelling and Identification
(Siam B Room)
07:00 – REGISTRATION
Location: Siam Foyer
08:30 – AsiaMIC Session 5 – Optimization and Control
Applications
(Siam C Room)
08:30 – 09:00 AsiaMIC/ACSE WELCOME ADDRESS
Location: Siam B Room
10:30 – Coffee Break
11:00 (Siam Foyer)
09:00 – AsiaMIC SESSION 1 – ARTIFICIAL
INTELLIGENCE AND SOFT COMPUTING (A)
Chairs: TBA
Location: Siam B Room
11:00 – AsiaMIC Session 4 Continued
(Siam B Room)
769-038
Fuzzy Control with Quadratic Performance for a Class of
Nonlinear Systems
Dušan Krokavec and Anna Filasová (Slovakia)
11:00 – AsiaMIC Session 5 Continued
(Siam C Room)
769-072
KTX Noise ANC Performance Evaluation using a
Multiple-LMS-based Neural Network
Hyeon Seok Jang, Kung Wan Koo, Young Min Lee,
Young Jin Lee, and Kwon Soon Lee (Korea)
12:30 – Lunch Break
(TBA)
14:00 – AsiaMIC Session 6 – Recent Advances in MIC
and their Applications
(Siam C Room)
769-064
Dynamic Neural Network-based Fault Diagnosis of Gas
Turbine Engines
Sina S. Tayarani-Bathaie, Zakieh Sadough, and
Khashayar Khorasani (Canada)
15:00 – Coffee Break
15:30 (Siam Foyer)
15:30 – AsiaMIC Session 6 Continued
(Siam C Room)
769-058
Mathematical Modeling and Numerical Simulation for
Microbial Depolymerization Processes of Exogenous Type
Masaji Watanabe and Fusako Kawai (Japan)
09:00 – ACSE SESSION 1 – SOFTWARE
ENGINEERING, COMPUTATIONAL
INTELLIGENCE AND DATA MINING (A)
Chairs: TBA
Location: Siam C Room
770-037
Application of Simulation Systems in Training Security
Services
Grzegorz Gudzbeler, Mariusz Nepelski, and Andrzej Urban
(Poland)
770-040
Proposal of Motion Caputuring System for Authentication
Keiichiro Awaji, Yutaro Watanabe, and Ryuya Uda (Japan)
770-032
Dynamic Simulation of a 3-D 4BL Engineering Problem
using Augmented Reality
Manjit S. Sidhu (Malaysia) and Waleed Maqableh
(Saudi Arabia)
5
770-043
Top-View based Human Action Recognition using Depth
and Color Information
Sittisuk Seawpakorn and Nikom Suvonvorn (Thailand)
The works to be presented have come from a team of
researchers who fond of control and computing through our
hard-working years. The followings are my students,
colleagues and friends who deserve for acknowledgements:
T. Kulworawanichpong, K-N. Areerak, K-L. Areerak, D.
Puangdownreong, J. Kluabwang, N. Sarasiri, S. Phanikhom
and K. Suthamno.
770-039
Profile-based Action Recognition using Depth Information
Pongsatorn Chawalitsittikul and Nikom Suvonvorn
(Thailand)
Sarawut Sujitjorn was awarded the BSc (Hons) degree in
Electrical Engineering from the Royal Thai Air Force
Academy, in 1984, and in 1987 the PhD degree in
Electronic & Electrical Engineering from the University of
Birmingham, UK, where he worked on automated coastcontrol of rapid transit trains. He is currently a Professor of
Electrical Engineering at Suranaree University of
Technology (SUT), Thailand, where he founded the School
of Electrical Engineering, the Control & Automation
Research Group, now the Power Electronics, Machines and
Control Research Group, and co-founded the Scientific and
Technological Equipment Centre. He is past Head of the
EE School, Vice Rector for Academic Affairs and Director
of the Research & Development Institute at SUT. He
teaches postgraduate and undergraduate courses in Electric
Circuits and Automatic Control. Before coming to SUT,
Korat, he was a lecturer at the Royal Thai Air Force
Academy from 1988-1993.
11:00 – 11:30 COFFEE BREAK
Location: Siam Foyer
11:30 – AsiaMIC KEYNOTE SPEAKER – “THE
ROLES OF METAHEURISTICS ON CONTROL
DESIGN OPTIMIZATION AND IDENTIFICATION
RESEARCH”
Presenter: Dr. Sarawut Sujitjorn (Thailand)
Location: Siam B Room
Many challenging applications in science, engineering and
technology can be formulated as optimization problems.
Some of them are complex and difficult to solve by an
exact method within a reasonable amount of time. These
problems usually contain multiple local solutions that can
easily trap inefficient algorithms. Approximate algorithms
are alternatives; among those metaheuristics have been
main tools for solving this large class of problems.
Numerous metaheuristics are multi-discipline involving AI,
soft-computing, computational intelligence, mathematical
programming, operation research, and biology. In recent
years, efficient metaheuristics have been developed for
combinatorial, continuous, and multi-objective
optimization problems; they have found many successful
real-world applications. Foremost applications include
multi-objective control design optimization and complex
model identification.
Prof Sujitjorn has worked in academia for over 20 years
and has published over 150 research and technical papers,
17 patents, three books and one monograph. His research
interests span the areas of control, electrical machine,
power converter and computing, particularly the
application of metaheuristics to modelling, identification
and control. He also serves the National Research Council
of Thailand as sub-committee member and reader.
12:30 – LUNCH BREAK
TBA
This lecture will deliver an orientation on metaheuristics,
the quests on performance and convergence of algorithms,
multi-objective control design optimization problems,
model identification problems, generic, and specific
algorithms. Illustrative algorithms are multi-path adaptive
tabu search and co-operative adaptive bacterial-foragingtabu-search algorithms. The following case studies serve to
demonstrate the practicality and effectiveness of the
algorithms:
14:00 – AsiaPES KEYNOTE SPEAKER – “PHASOR
MEASUREMENTS AS SMART DEVICE FOR
OBSERVING POWER SYSTEM DYNAMICS”
Presenter: Prof. Yasunori Mitani (Japan)
Location: Siam A Room
Phasor Measurement Unit (PMU) is an apparatus which
detects the absolute value of phase angle in sinusoidal
signal. Here, suppose that more than two measurement
units for instantaneous voltage with short sampling time are
located distantly apart from each other. Then, we can get
multiple measured voltage data but they cannot be
compared exactly along with time since we do not know
the reference of time. However, once they are used with
GPS signal which tells us the information on exact time, it
becomes ready to get phase differences among them. Thus,
identification of Stribeck friction model on a linear
slide bed,
computational stability analysis based-on
Lyapunov's direct method, and
extreme control design optimization of a road-way
simulator.
6
PMU with GPS receiver is applied to the monitoring of AC
power system dynamics and usually installed at substations
of transmission lines.
769-039
PID Control for Micro-Hydro Power Plants based on
Neural Network
Lie Jasa, Ardyono Priyadi, and Mauridhi H. Purnomo
(Indonesia)
On the other hand, our group is developing the system with
PMUs installed at user power outlet; 100V in Japan and
240 V in Thailand. In Japan we are developing a power
system monitoring system with PMUs installed at
University’s campuses, which is called Campus WAMS
(wide area measurement system). As a result, we can
monitor the wide area power system stability and dynamics
viewed from user side. In addition, we have developed a
signal processing method with an FFT filtering or a wavelet
transformation to eliminate the noises of voltage around
user power outlets and a method to identify an equivalent
vibration model for the evaluation of power system stability
with the processed signals. The PMU system provides us
useful information on phasor voltage distributions on the
power system map. From these data we can get the
dynamic behaviors of power flows. In this context the PMU
system is expected as a new device to support the smart
grid.
769-053
Evapotranspiration Prediction using System Identification
and Genetic Algorithm
Robiah Ahmad, Saiful Farhan Mohd Samsuri, and
Mohd Zakimi Zakaria (Malaysia)
15:30 – ACSE SESSION 2 – SOFTWARE
ENGINEERING, COMPUTATIONAL
INTELLIGENCE AND DATA MINING (B)
Chairs: TBA
Location: Siam C Room
770-014
Hybrid Algorithm using Genetic Algorithm and EDA
Introducing Partial Search
Kenji Tamura (Japan)
This keynote speech presents some results on the power
system observation in Japan and in South-East Asia
(Singapore-Malaysia and Thailand).
770-034
A Hybrid CS/DE Algorithm for Global Optimization
Mansooreh Soleimani, Shahriar Lotfi, and
Amirhossein Ghodrati (Iran)
Yasunori Mitani received the B.S., M.S., and D.Eng.
Degrees in electrical engineering from Osaka University,
Osaka, Japan, in 1981, 1983, and 1986, respectively.
Currently he is a Professor in the Department of Electrical
Engineering, Kyushu Institute of Technology, Fukuoka,
Japan. He was a Visiting Research Associate at the
University of California, Berkeley from 1994 to 1995. His
research interests are in the areas of analysis and control of
power systems.
770-044
Implementation of Hybrid Naive Bayesian-Decision Tree
for Childhood Obesity Predictions
Muhamad Hariz B. Muhamad Adnan, Wahidah Husain,
and Nur`Aini Abdul Rashid (Malaysia)
15:00 – 15:30 COFFEE BREAK
Location: Siam Foyer
770-019
An Interdisciplinary Approach to Automatically Capture
Knowledge in Dialogues on the Spot
Keedong Yoo (Korea)
15:30 – AsiaMIC SESSION 2 – ARTIFICIAL
INTELLIGENCE AND SOFT COMPUTING (B)
Chairs: TBA
Location: Siam B Room
770-015
Influence Nets based Decision Support System
Sajjad Haider, Samad Hassan, and Mohammad Nishat
(Pakistan)
769-018
Complete Stability Ranges of a Class of Interval Matrices The Stability Feeler Approach
Tadasuke Matsuda, Michihiro Kawanishi, and Tatsuo
Narikiyo (Japan)
769-013
Wavelet Feature Selection using Genetic Algorithms for
Text Independent Speaker Recognition
Shung-Yung Lung (Taiwan)
7
769-024
Petri Net Representation of Switched Stochastic Systems
Jiaying Ma, Jueliang Hu, Zuohua Ding, and Jing Liu
(PR China)
Tuesday, April 3, 2012
08:30 – AsiaMIC SESSION 3 – FAULT ANALYSIS
AND PROCESS SYSTEMS
Chairs: TBA
Location: Siam B Room
769-036
Impact-Echo Non-Destructive Testing and Evaluation with
Time-Frequency Process and Analysis
Mark Emde and Ruichong Zhang (USA)
769-026
Modelling Researches of the Limitations for FaultTolerance Measurements of Ultra Small Displacements and
Vibrations
Alexander V. Liapidevskiy, Vadim A. Zhmud,
Denis O. Tereshkin, and Vladimir I. Gololobov (Russia)
08:30 – ACSE SESSION 3 – COMPUTER
NETWORKS, COMMUNICATION AND WEB
TECHNOLOGIES
Chairs: TBA
Location: Siam C Room
769-015
The Improvement of Modulating Function Method for Fast
Identification of Parameter Faults in Linear Continuous
Systems
Witold Byrski and Jędrzej Byrski (Poland)
770-002
Analysis of IPTV Traffic over Computer Communication
Networks
Nader F. Mir, Mohit Vashisht, and Sagar Agarwal (USA)
769-016
Tolerating Permanent Changes of State Transitions in
Asynchronous Machines
Seong Woo Kwak and Jung-Min Yang (Korea)
770-025
A Framework for Evaluation of 3G Communication
Systems
Freeha Azmat and Junaid Imtiaz (Pakistan)
769-041
Effects of Foot Shape on Fault Tolerant Gaits of a
Quadruped Robot
Seong Woo Kwak and Jung-Min Yang (Korea)
770-030
Improvement on Enhanced Secure Anonymous
Authentication Scheme for Roaming Service in Global
Mobility Networks
Iuon-Chang Lin and Chen-Hsiang Chen (Taiwan)
769-011
Determining Water Patterns in Chakmak Canal and Pradoo
Bay, Rayong Province, Thailand
Nuanchan Singkran (Thailand)
770-020
Application of Wireless Sensor Networks to the In-Line
River Monitoring of Nitrate
Alberto Bonastre, Juan Vicente Capella, Rafael Ors, and
Miguel Peris (Spain)
769-021
Tracking of Choke Pressure during Managed Pressure
Drilling
Espen Hauge, Ole Morten Aamo, and John-Morten
Godhavn (Norway)
770-013
Personalizing the User's Physical Environment in a
Pervasive System
Elizabeth Papadopoulou, Sarah Gallacher, Nick K. Taylor,
and Howard Williams (UK)
769-045
Dynamic Modelling of Gas Rising in a Wellbore
Espen Hauge, John-Morten Godhavn, Øyvind N. Stamnes,
and Ole Morten Aamo (Norway)
770-051
Lifelog Ontology Schema Definition for Personal
Identification
Yuuki Hotta, Haruki Ogata, and Ryuya Uda (Japan)
769-032
Studies on the Measurement of Achievement in Simple
Arithmetic Drills from the Inflections of Event-Related
Potentials
Miki Shibukawa, Mariko Funada, and Yoshihide Igarashi
(Japan)
770-036
GuideME: An Effective RFID-based Traffic Monitoring
System
Fadi Aloul, Assim Sagahyroon, Ali Nahle, Makram Abou
Dehn, and Raneem Al Anani (UAE)
8
10:30 – 11:00 COFFEE BREAK
Location: Siam Foyer
6. Firefly synchronization: This nonlinear model for
microcontroller design will be illustrated and discussed.
11:00 – AsiaMIC SESSION 3 CONTINUED
Location: Siam B Room
Timeline
Time allocations for the major course topics
1. Overview on biologically-inspired schemes (30 minutes)
2. Social insects and insect colony (30 minutes)
3. Epidemic worm spreading (30 minutes)
4. Artificial immune systems (30 minutes)
5. Cognitive networks (30 minutes)
6. Homeostatic communication systems (30 minutes)
7. Firefly synchronization (30 minutes)
11:00 – ACSE SESSION 3 CONTINUED
Location: Siam C Room
12:00 – LUNCH BREAK
TBA
14:00 – AsiaMIC TUTORIAL SESSION –
“BIOLOGICALLY-INSPIRED COMMUNICATION
AND NETWORKING”
Presenter: Asst. Prof. Mohamed Hamdi (Tunisia)
Location: Siam B Room
The level of presentation assumes that the attendees have a
background knowledge in computer science and
communication network architectures. More precisely, the
key pre-requisites relate to algorithms and data structures,
network protocols, and communication architectures.
Bio-inspired networking and communication protocols and
algorithms are devised by considering biology as source of
inspiration, and by adapting behaviors, laws, and dynamics
governing biological systems. While the literature related to
biologically-inspired computing is abundant, the focusing
on the application of biological concepts in networking is
still in infancy. In this tutorial, we address the applicability
of biological mechanisms and techniques in various
communication fields. Particularly, we explore the
mechanisms and the challenges in embedded
communication systems with primary focus on recent
applications of bio-inspired techniques in communication
networks. Nonetheless, the results that have been reached
so far show that this area is very promising.
Dr. Mohamed Hamdi (PhD, habilitation) co-authored
more than 80 scientific publications published in
international journals and conferences. He has also chaired
and co-chaired international conferences and special issues
in international conferences including the ‘Trust, Security,
and Privacy’ symposium in the IEEE IWCMC 2012
conference and for the special issue on ‘Web Services in
Multimedia Communication’ for the journal on Advances
in Multimedia. He presented multiple tutorials and invited
speeches in international conferences such as the GEOSS
Forum (Globecom 2011). In addition, Dr. Hamdi has been
invited at the ITU World Telecom conference to serve as a
panellist in a forum on the security of social networks. He
also passed prestigious professional certifications including
the CISSP and the CISCO Security certifications. He is
conducting research activities in the areas of wireless
sensor networks, risk management, algebraic modeling,
relational specifications, intrusion detection, and network
forensics.
Objectives
The tutorial is at the graduate school level and is accessible
to postgraduate level. It is intended to introduce the tutees
to the biologically-inspired concepts that are being
intensively used by the scientific community in the
computer science and communication networks fields.
14:00 – ACSE TUTORIAL SESSION – “LATEST
APPLICATIONS IN COMPUTER NETWORKS:
FROM IPTV TO MOBILE MULTIMEDIA
NETWORKS”
Presenter: Prof. Nader F. Mir (USA)
Location: Siam Room
The content of the tutorial is structured as follows:
1. Social insects and insect colony: The use of insect
mobility models to solve optimization algorithms will be
illustrated.
2. Epidemic worm spreading: Stochastic models for the
propagation of digital worms will be investigated.
3. Artificial immune systems: Security and protection
systems that mimic natural immunity systems will be
described.
4. Cognitive networks: This new concept, which is
becoming very popular in the context of wireless networks
and radio communications, will be studied.
5. Homeostatic communication systems: The use of
homeostasis in self-organizing ad hoc and sensor networks
will be addressed.
We are witnessing the Internet applications such as mobile
multimedia over IP network technology being destined to
play an increasingly important role in communication
systems. With the demand for multimedia applications,
there will be a growing interest in identifying suitable
network architectures and transmitting facilities for this
technology. Communication industry has spent
considerable effort in designing an IP-based media
transport mechanism, voice over IP (VoIP), and multimedia
9
networks that can deliver voice-band telephony with the
quality of the telephone networks. The Internet offers
phone services less expensive and with numerous
additional features such as video conferencing, online
directory services, and the Web incorporation.
appropriate application on the destination system, using
real-time protocols. The most widely applied protocol for
real-time transmission is the Real-Time Transport Protocol
(RTP), including its companion version: Real-Time Control
Protocol (RTCP). UDP cannot provide any timing
information. RTP is built on top of the existing UDP stack.
Real-time applications may use multicasting for data
delivery.
In this tutorial, we present the fundamentals the latest
applications in computer networks. Applications such as
Video on Demand (VoD) IPTV, VoIP, and also Multimedia
over IP networks schemes. We explain the transportation of
real-time signals along with the signaling protocols used in
voice over IP (VoIP) telephony and multimedia
networking. The tutorial covers the signaling protocols as
H.323 series of protocols, and Session Initiation Protocol
(SIP) which are responsible for session signaling. The
H.323 protocols interact to provide ideal telephone
communication, providing phone numbers to IP address
mapping, handling digitized audio streaming in IP
telephony, and providing signaling functions for call setup
and call management. The H.323 series support
simultaneous voice and data transmission and can transmit
binary messages that are encoded using basic encoding
rules. We also review the Session Initiation Protocol (SIP)
as one of the most important VoIP signaling protocols
operating in the application layer of TCP/IP model. SIP can
perform both unicast and multicast sessions and supports
user mobility and handles signals and identifies user
location, call setup, call termination, and busy signals. SIP
can use multicast to support conference calls and uses the
Session Description Protocol (SDP) to negotiate
parameters.
We also cover video streaming that presents a significant
challenge to network designers. A video in a single server
can be streamed from a video server to a client at the client
request. The high bit-rate video streaming must sometimes
pass through many Internet service providers, leading to the
likelihood of significant delay and loss on video. One
practical solution to this challenge is to use content
distribution networks (CDNs) for distributing stored
multimedia content. Video streaming, e-mail, and image
packets in the best-effort Internet are mixed in the output
queue of the main exit router of a domain. Under such
circumstances, a burst of packets, primarily from the image
file source, could cause IP video streaming packets to be
excessively delayed or lost at the router. One solution in
this case is to mark each packet as to which class of traffic
it belongs to. This can be done by using the type of-service
(ToS) field in IPv4 packets. As seen in the figure,
transmitted packets are first classified in terms of their
priorities and are queued in a first in, first out (FIFO) order.
The priority of an image file can be equal to or less than the
one for video streaming, owing to the arrangement of
purchased services.
The tutorial further covers Compression of multimedia
components such as Digital Voice and Video, focusing on
data-compression techniques for voice and video to prepare
digital voice and video for multimedia networking will be
[resented. The topic starts with the analysis of informationsource fundamentals, source coding, and limits of data
compression and explains all the steps of the conversion
from raw voice to compressed binary form, such as
sampling, quantization, and encoding. The discussion also
summarizes the limits of compression and explains typical
processes of still-image and video-compression techniques,
such as JPEG, MPEG, and MP3.
The Tutorial will then focus on the Stream Control
Transmission Protocol (SCTP) providing a general-purpose
transport protocol for message-oriented applications. SCTP
is a reliable transport protocol for transporting stream
traffic, can operate on top of unreliable connectionless
networks, and offers acknowledged and non-duplicated
transmission data on connectionless networks. SCTP has
the following features. The protocol is error free. A
retransmission scheme is applied to compensate for loss or
corruption of the datagram, using checksums and sequence
numbers. It has ordered and unordered delivery modes.
SCTP has effective methods to avoid flooding congestion
and masquerade attacks. This protocol is multipoint and
allows several streams within a connection. In TCP, a
stream is a sequence of bytes; in SCTP, a sequence of
variable-sized messages. SCTP services are placed at the
same layer as TCP or UDP services. Streaming data is first
encapsulated into packets, and each packet carries several
correlated chunks of streaming details. The Tutorial will
ultimately present multimedia over general Wireless and
WiMAX networks.
The tutorial will then present real-time transport protocols,
such as Real-Time Transport protocol (RTP) and the RealTime Control Protocol (RTCP). The next topic is streaming
video in a single server, using content distribution networks
(CDNs). Also discussed is the Stream Control
Transmission Protocol (SCTP), which provides a generalpurpose transport protocol for transporting stream traffic.
The tutorial describes detailed streaming source modeling
and analysis. In real-time applications, a stream of data is
sent at a constant rate. This data must be delivered to the
10
Nader F. Mir received a B.Sc. degree with honors in
electrical and computer engineering in 1985 and MSc and
PhD degrees, both in electrical engineering, from
Washington University in St. Louis, in 1990 and 1994,
respectively.
Timeline
Overview of IP Telephony (0.5 hour)
•VoIP Signaling Protocols
•H.323 Protocols
•Session Initiation Protocol (SIP)
•Softswitch and MGCP
Overview of Digital Voice and Compression (1 hour)
•Signal Sampling
•Quantization and Distortion
•Still Images and JPEG Compression
•Raw-Image Sampling and DCT
•Quantization and Encoding
•Moving Images and MPEG Compression
•MP3 and Streaming Audio
•Limits of Compression with Loss
•Basics of Information Theory
•Entropy of Information
•Shannon’s Coding Theorem
•Compression Methods Without Loss
•Run-Length Encoding
•Huffman Encoding
•Lempel-Ziv Encoding
•FAX Compression for Transmission
Video Streaming Applications and Real-Time Media
Transport Protocols (1 hour)
•Real-Time Transport Protocol (RTP)
•Real-Time Control Protocol (RTCP)
•Estimation of Jitter in Real-Time Traffic
•Distributed Multimedia Networking
•Stream Control Transmission Protocol (SCTP)
•SCTP Packet Structure
•Self-Similarity and Non-Markovian Streaming Analysis
•Self-Similarity with Batch Arrival Models
•Content Distribution Networks (CDNs)
•CDN Interactions with DNS
•Multimedia Security
•Providing QoS to Streaming
•IPTV
•Video on Demand (VOD) Technology
Mobile multimedia and Voice and Video Streaming over
Wireless Networks (1 hour)
•Introduction to WiMAX technology
•Mobile Transport Protocols
•Mobile Computing and Mobile IP
•TCP and UDP for Mobility
•Protocols for Voice over Mobile IP
•Protocols for Video Streaming over Mobile IP
He is currently a Professor and Department Associate
Chairman of Electrical Engineering at San Jose State
University, California. He is also the Director of the MSE
Program in Optical Sensors Networks for Lockheed Martin
Space Systems.
His research interests are analysis of computer
communication networks, design and analysis of switching
systems, network design for wireless ad hoc, internet and
sensor systems, information systems and applications of
digital integrated circuits in computer communications.
16:00 – 16:30 COFFEE BREAK
Location: Siam Foyer
16:30 – AsiaMIC TUTORIAL SESSION CONTINUED
Location: Siam B Room
16:30 – ACSE TUTORIAL SESSION CONTINUED
Location: Siam C Room
19:00 – Dinner Banquet
Location: TBD
Audience can be from academia or industry. Any
individual with basic knowledge of computer science and
engineering can benefit from this tutorial.
11
769-059
Study on Bird Flu Infection Process within a Poultry Farm
with Modeling and Simulation
Masaji Watanabe (Japan) and Tertia Delia Nova
(Indonesia)
Wednesday, April 4, 2012
08:30 – AsiaMIC SESSION 4 – MODELLING AND
IDENTIFICATION
Chairs: TBA
Location: Siam B Room
08:30 – AsiaMIC SESSION 5 – OPTIMIZATION AND
CONTROL APPLICATIONS
Chair: TBA
Location: Siam C Room
769-044
Modelling Dependencies and Couplings in the Design
Space of Meshing Gear Sets
Mohammad Rajabalinejad (The Netherlands)
769-012
Memoryless Solution to the Infinite Horizon Optimal
Control of LTI Systems with Delayed Input
Francesco Carravetta, Pasquale Palumbo, and
Pierdomenico Pepe (Italy)
769-030
Internal Model Control of Piezoelectric Actuator based on
Sandwich Model with Hysteresis
Yangqiu Xie, Yonghong Tan, Ruili Dong, and Hong He
(PR China)
769-029
An Optimizing Parameter-Tuning of Multi-Loop
Controllers for Boiler Combustion Process
Hong He and Yonghong Tan (PR China)
769-086
A Model Reflecting the Changes of ERPs during Repeated
Learning of Calculations
Mariko Funada, Yoshihide Igarashi, Tadashi Funada, and
Miki Shibukawa (Japan)
769-087
Optimal Frequency Regulation of a Single-Area Power
System
Sayed Z. Sayed Hassen and Mohamed I. Jahmeerbacus
(Mauritius)
769-065
A Bayes Shrinkage Estimation Method for Vector
Autoregressive Models
Sung-Ho Kim and Namgil Lee (Korea)
769-082
Optimal Vibration Control of a Rectangular
Piezothermoelastic Plate
Marwan Abukhaled and Ibrahim Sadek (UAE)
769-027
Linear System Analysis and State Observer Design of Grid
Connected Inverter Model based on System Identification
Nopporn Patcharaprakiti, Jatturit Thongprong,
Krissanapong Kirtikara, and Jeerawan Saelao (Thailand)
769-028
Local Controllability of Fractional Discrete-Time
Semilinear Systems with Multiple Delays in Control
Jerzy Klamka (Poland)
769-004
A Short Contribution on Efficient Modelling of Parallel
Queues
Nader F. Mir (USA)
769-083
Enhanced Simplified Decoupling for Multivariable
Processes with Multiple Time Delays
Truong Nguyen Luan Vu and Moonyong Lee (Korea)
769-069
3D Modeling of a Class of Objects in Different
Engineering Analysis Field
Mei Chen, Fei Zheng, and Na Li (PR China)
769-096
Active Noise Control in Large Industrial Halls
Marek Pawelczyk (Poland)
769-071
Modeling of a Large Deployable Space Antenna Structure
Fei Zheng, Mei Chen, and Peng Li (PR China)
769-005
Applying Posture Identifier and Backstepping Method in
the Design of an Adaptive Nonlinear Predictive Controller
for Nonholonomic Mobile Robot
Ahmed S. Al-Araji (Iraq), Maysam F. Abbod, and
Hamed S. Al-Raweshidy (UK)
769-006
The Novel Analytical Probabilistic Model of Random
Variation in the MOSFET’s High Frequency Performance
Rawid Banchuin (Thailand)
12
769-089
Fractional Order Controller and its Applications: A Review
Swati Sondhi and Yogesh V. Hote (India)
769-056
Simulation and Comparative Studies of Dead Space
Loading for Human Respiratory Control under Exercise
and CO2 Inhalation
Shyan-Lung Lin and Nai-Ren Guo (Taiwan)
769-061
A Cost-Effective, Robust and an Efficient Design of a
Motor Controller for UGVs
Soyiba Jawed, Freeha Azmat, and Muhammad Z. Khan
(Pakistan)
769-095
The Application of GPU-based K-Means in Analysis of
RFID Data
Huifang Deng, Zhen Liang, and Chunhui Deng (PR China)
10:30 – 11:00 COFFEE BREAK
Location: Siam Foyer
769-050
Mold Filling Simulation in the Injection Molding Process
with OpenFOAM Software for Non-Isothermal Newtonian
Fluid
Farivar Fazelpour, Majid Vafaeipour, Habib Etemadi,
Amir Dabbaghian, Raoof Bardestani, and
Mohammadreza Dehghan (Iran)
11:00 – AsiaMIC SESSION 4 CONTINUED
Location: Siam B Room
11:00 – AsiaMIC SESSION 5 CONTINUED
Location: Siam C Room
769-035
Anomaly Detection based on GA&FART Approach of
Computer Network Security
Preecha Somwang, Woraphon Lilakiatsakun, and Surat
Srinoy (Thailand)
12:30 – LUNCH BREAK
TBA
14:00 – AsiaMIC SESSION 6 – RECENT ADVANCES
IN MIC AND THEIR APPLICATIONS
Chairs: TBA
Location: Siam C Room
769-051
Causal Impact Price Transmission of the Rice Markets in
Thailand
Wanvilai Chulaphan (Taiwan), Chalermpon Jatuporn
(Thailand), Shwu-En Chen (Taiwan), and
Pattana Jierwiriyapant (Thailand)
769-031
Firmware for the Receiving and Processing of
Meteorological Information from the Space Satellites
“AKTOMIKA”
Alexander V. Liapidevskiy, Vladimir I. Gololobov,
Vadim A. Zhmud, Anton V. Zakharov, and
Aleksey S. Drozdov (Russia)
769-033
An Intelligent Flow Measurement Scheme using Ultrasonic
Flow Meter
Santhosh K. Venkata and Binoy K. Roy (India)
769-054
Modelling of a Hobbing Tool Series for Generating Spur
Gears with Circular Fillet
Andromachi N. Zouridaki (Greece)
15:00 – 15:30 COFFEE BREAK
Location: Siam Foyer
769-010
A Web System that Allows for Decision-Making through
Citizen Participation
Mahito Hosoi and Yukio Uchida (Japan)
15:30 – AsiaMIC SESSION 6 CONTINUED
Location: Siam C Room
************************************************
IASTED would like to thank you for attending
AsiaMIC and ACSE 2012. Your participation helped
make this international event a success, and we look
forward to seeing you at upcoming IASTED events.
************************************************
769-078
Analysis, Evaluation, and Design of an Overlapped
Ultrasonic Sensor Ring for Minimal Positional Uncertainty
in Obstacle Detection
Sungbok Kim and Hyunbin Kim (Korea)
13
Proceedings of the IASTED Asian Conference
Modelling, Identification, and Control (AsiaMIC 2012)
April 2 - 4, 2012 Phuket, Thailand
PID CONTROL FOR MICRO-HYDRO POWER PLANTS BASED
ON NEURAL NETWORK
Lie Jasa A), Ardyono Priyadi B), Mauridhi Hery PurnomoC)
Electrical Engineering Udayana University, Bali, Indonesia. Email: [email protected]
B)
Electrical Engineering of Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia. Email: [email protected]
C)
Electrical Engineering of Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia. Email: [email protected]
A)
ABSTRACT
Micro-hydro power plants are power plants with
small capacity, which is built in specific locations. The
main problem of micro-hydro is the voltage generated is
not stable at 220 VA and frequency of 50 Hz. A microhydro that was constructed by Lie Jasa et al. in Gambuk
village at Pupuan sub-district, Tabanan district of Bali
province, Indonesia in 2010 is still an open loop system in
which spin turbine is stable when it is set from the high
water level in reservoirs. This will be problematic when
the generator load changes. This study will overcome the
problem by proposing to build a closed loop system from
the change in output frequency for the control circuit. The
control circuit is a circuit constructed neural networkbased PID control by using the Brandt-Lin algorithm to
control the governor. The governor function is to regulate
the amount volume of water running into turbine. By
applying Matlab simulation, the result shows that the best
output is obtained when the the change in frequency will
stabilize at about 40 seconds and using the value of Kp =
0.0637533, Ki=0.00021801 and Kd=0.00301846.
KEY WORDS
PID, Turbine, Neural network, Micro-hydro, Frequency
tuning of PID controller using Particle Swarm
Optimization (PSO) algorithm [9], and Design for Autotuning PID controller based on Genetic Algorithms [10].
The study specifically control systems based on PID
neural network with Brandt-Lin algorithm to control the
micro-hydro that does not exist. Researchers have also
studied micro-hydro using PI controller based on NNperceptron [1], however, there is no research on PID
control system is based Neural Network with Brandt-Lin
algorithm. This paper discusses this system to determine
the values of Ki, Kp and Kd simulated with a micro-hydro
plants, which has already existed [13].
The main purpose of this paper is to build a modelbased neural network PID control that is used to control
the Micro-Hydro Power (MHP). This control is set to be
able to control the turbine rotation to become stable at a
certain round when the load changes. The system is a
closed loop control using feedback from the output of the
generator. By adjusting the volume of water from the spill
away through the governor, the turbine rotation can be
maintained automatically. With the stability of turbine
rotation, the generator will generate a voltage stabilized at
220 VA with a frequency of 50 Hz.
2. Plant Models and Control for MHP Plants
DOI: 10.2316/P.2012.769-039
Integral
There is a growing research related to micro-hydro,
such as the advanced control of micro-hydro [1], the
simulation of ANN Controller of Automatic Generation
Control micro-hydro [2], Artificial Neural Networks to
Predict River Flow Rate into Dam of Micro-hydro [3].
Scholars also have studied neural network focused on
control sensor base linearization Neural Network [4], and
Experimental Study of Neural Network Control System
for Micro Turbines [5]. Research on a series of neuralbased PID control with a variety of algorithms has also
been conducted, such as PID-Neural Controller based on
the AVR Atmega 128 [6], the PID-Controller based on
BP neural network in the application of wind power
generation [7], Application of Neural Network to LoadFrequency Control in Power Systems [8], Automatic
Automatic control system of micro-hydro is built in a
closed loop. First some water are flow in the valve, it
continue to the spill way and rotate the turbine.
Water
Valve
controller
1. Introduction
Delta
Frequency
Frequency
set point
60 Hz
+
Frequency
Output
Sensor
Frequency
-
Speed
Change
Regulator
Amplifier
Generator
Turbine
Figure 1. System Control of Micro-Hydro
The generator will produces electricity in the next
step and output it will through on the sensor frequency.
The frequency measurement will be compared with the
reference frequency. Difference frequency ( f) will be
entered into the control integrator. It will used to set and
behind the valve. The Illustration it is of control system
shown in Fig 1.
output of generator of the frequency of 50Hz and voltage
at 220V. This problem becomes a central focus on this
research.
Plants models for MHP plant was controlled using a
servo motor as governor in the study by M. Hanmandlu
[1]. Consists of five blocks: (1). PI control, (2). Governor,
(3). Servo motor, (4). Turbine and (5). Generator, Detail
of model MHP as shown in Fig 2.
1/R
PI
1
1
(1-sTw1)
Kp
(1+sT2)
(1+sT3)
(1+0.5sTw1)
1+sTp
Figure 3. Existing Plant Model MHP at Gambuk,
Pupuan, Tabanan, Bali, Indonesia[13]
PL
Figure 2. Model of MHP using servomotor as a
Governor [1]
The transfer function for the servo motor based governor
was written like equation 1 as :
G( s) =
1
1
(1 + sT )1 (1 + sT2 )
......................................1)
Where T1 = mechanical time constant and T2 =
Electronic time constant. In addition, unity gain is applied
as a feedback. A PI Controller with the following transfer
function is superimposed on the servomotor based
governor as :
Figure 4. Existing Turbine Plant Model MHP [13]
Ki
G ( s ) = Kp +
s
...................................................2)
Where Kpl = Proportional constant, Ki = Integral sonstant
2.1 Existing Plant Model
Plant models of a micro-hydro that was constructed
by Lie Jasa et al. in Gambuk village at Pupuan subdistrict, Tabanan district of Bali province, Indonesia in
2010. Existing Plant Model MHP shown in Fig. 3. The
part components of the plant were: 1). 2 meters diameter
of water turbine; 2). 25 meters of spill away; 3). Tansfer
pulley; and 4). generator. The video of this plant can be
watched
on
http://www.youtube.com/watch?v=IdyVX_1RQGs. The
plant is now capable to generate electrical energy of
approximately 1000 VA 5000 VA installed capacity. The
amount can be supplied to 10 houses for power at night.
The plant, however, has not been yet equipped with the
control circuit that can control the governor to produce the
a.
Spill away
Spill away is used to channel water from top to
bottom and direct the water flow onto the turbine. The
length of pipe diameter will affect the volume of water
that runs. The larger the volume of water passes the
bigger water impetus to the turbine. The spill away allows
placing micro-hydro in the secure area from flooding
during the wet season.
b.
Governor
To set the influx of water from spill away to the
turbine, governor is used. Governor model can be
classified in several forms, such as hydraulic mechanical,
electro-hydraulic and mechanical governor. Which
governor used is based on the size of spill away that has
been set. To set governor, so far it is done manually by an
operator. Arrangements are made by turning the faucet on
the end of spill away.
c.
Water turbine
b. Brandt-Lin Algorithm Neural Network
Turbines are used to change water energy into
mechanical energy. Turbine that is connected with some
pulleys is used to turn a generator. Past studies used
turbine [13] sizing diameter of 2 meters, width of 30 cm,
weight of 300 kg and material of iron. The larger the
volume of water turning turbine, the greater mechanical
energy produced. Besides the volume of water, water
pressure falls on the turbine help to speed the turbine
rotation. Overshot water turbines works with the water
that falls into the blades of upper side, because of the
gravity of water, turbine wheel can spin. Existing of
turbine plant model MHP is show Fig. 4.
The Brandt-Lin algorithm which is originated from
gradient descent considers a complex system consisting of
subsystems, called nodes which interact with each other
through connection weights. Fig. 6 shows