CONFERENCE PROGRAM
The 34th IASTED International Conference on
Modelling, Identification, and Control (MIC 2015)
and
The Sixth IASTED International Conference on
Computational Intelligence (CI 2015)
February 16 – 17, 2015
Innsbruck, Austria
P. Pathak – Indian Institute of Technology at Roorkee,
India
G. Petuelli – South-Westphalia University of Applied
Sciences, Germany
C. Pinto – School of Engineering, Polytechnic of Porto,
Portugal
M. Poboroniuc – Gheorghe Asachi Technical University
of Iași, Romania
Y. B. Reddy – Grambling State University, USA
R. Revetria – University of Genoa, Italy
M. Rodrigues – Sheffield Hallam University, UK
D. Schreurs – K.U.Leuven, Belgium
B. Shafai – Northeastern University, USA
Y. S. Shmaliy – Guanajuato University, Mexico
B. Singh – Lakehead University, Canada
W. Song – National Tsing Hua University, Taiwan
P. Sowa – Silesian University of Technology, Poland
R. Spolon – UNESP - State University of São Paulo, Brazil
C. Sueur – Ecole Centrale de Lille, France
G. Sun – Beijing University of Technology, PR China
A. Swierniak – Silesian University of Technology, Poland
J. A. Tenreiro Machado – Institute of Engineering,
Polytechnic of Porto, Portugal
M. Trabia – University of Nevada, Las Vegas, USA
H. Trinh – Deakin University, Australia
K. Tsakalis – Arizona State University, USA
H. Unger – University of Hagen, Germany
G. Varga – University of Miskolc, Hungary
E. E. Yaz – Marquette University, USA
L. Zhang – Harbin Institute of Technology, China PR
Z. Zhang – University of Exeter, United Kingdom
LOCATION
Congress und Messe Innsbruck GmbH
Rennweg 3, 6020 Innsbruck
Austria
MODELLING, IDENTIFICATION
AND CONTROL (MIC 2015)
SPONSOR
The International Association of Science and Technology
for Development (IASTED)
INTERNATIONAL PROGRAM
COMMITTEE
S. Alwash – German Jordanian University, Jordan
C. Angeli – Technological Institute of Piraeus, Greece
F. Assous – Ariel University, Israel
R. Barbosa – Institute of Engineering of Porto, Portugal
J. Boaventura – University of Tras-os-Montes and Alto
Douro, Portugal
J. Dvornik – University of Split, Croatia
V. Glizer – Ort Braude College, Israel
D. Gorgan – Technical University of Cluj-Napoca,
Romania
G. A. Gravvanis – Democritus University of Thrace,
Greece
V. Grout – Glyndwr University, UK
R. Henriksen – Norwegian University of Science and
Technology, Norway
D. Honc – University of Pardubice, Czech Republic
I. Jesus – Institute of Engineering of Porto, Portugal
V. Jotsov – State University in Sofia, Bulgaria
S. H. Kim – Korea Advanced Institute of Science and
Technology, Korea
S. Liang – Chongqing University, China PR
M. Lotfalian – University of Evansville, USA
M. Marcoková – University of Zilina, Slovakia
Y. Morita – ISAS/JAXA, Japan
D. Myronidis – Aristotle University of Thessaloniki,
Greece
P. Nahodil – Czech Technical University in Prague, Czech
Republic
J. J. Nieto – University of Santiago de Compostela, Spain
G. Nikolakopoulos – Luleå University of Technology,
Sweden
H. Oya – Tokushima University, Japan
Additional Paper Reviewers
A. Oghbaee – Northeastern University, USA
Computational Intelligence (CI 2015)
SPONSOR
The International Association of Science and Technology
for Development (IASTED)
INTERNATIONAL PROGRAM
COMMITTEE
G. Agre – Bulgarian Academy of Sciences, Bulgaria
P. Aguiar – Univ Estadual Paulista - UNESP, Brazil
C. Angeli – Technological Institute of Piraeus, Greece
I. Bajla – Institute of Measurement Science, Slovakia
M. Biehl – University Groningen, The Netherlands
1
D. M. Block – Hochschule fuer Technik und Wirtschaft
Dresden, Germany
A. Dourado – University of Coimbra, Portugal
R. J. Dzeng – National Chiao-Tung University, Taiwan
A. El Rhalibi – Liverpool John Moores University, UK
M. Gaspari – University of Bologna, Italy
F. Gurgen – Bogazici University, Turkey
R. Kamimura – Tokai University, Japan
M. Klusch – German Research Center for Artificial
Intelligence, Germany
E. Konrad – Technical University of Berlin, Germany
D. Kumlander – Tallinn University of Technology,
Estonia
H. Langseth – Norwegian University of Science and
Technology, Norway
S. Mandl – EXASOL AG, Germany
A. Milella – Italian National Research Council (CNR),
Italy
I. Mocanu – University Politehnica of Bucharest, Romania
V. Poggioni – University of Perugia, Italy
G. Reina – University of Salento, Italy
J. Sauer – University of Oldenburg, Germany
E. Schikuta – University of Vienna, Austria
M. Sigmund – Brno University of Technology, Czech
Republic
R. Tadeusiewicz – AGH University of Science and
Technology, Poland
P. Tino – University of Birmingham, UK
S. Vranes – The Mihailo Pupin Institute, Serbia
M. Wozniak – Wroclaw University of Technology, Poland
M. Zhang – Christopher Newport University, USA
N. P. Zlatareva – Central Connecticut State University,
USA
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.
PROGRAM OVERVIEW
Monday, February 16, 2015
16:00 – Tutorial Continued
(Hall New Orleans)
19:30 – Dinner banquet
(Hotel Schwarzer Adler)
07:00 – Registration
(Diesner Foyer)
08:05 – Welcome Address
(Hall New Orleans)
Tuesday, February 17, 2015
08:20 – CI Session 1 – Computational Intelligence
and Applications
(Hall New Orleans)
08:00 – CI Session 2 – Theory, Machine Learning,
and Pattern Recognition
(Hall New Orleans)
10:00 – Coffee Break
(Diesner Foyer)
10:00 – Coffee Break
(Diesner Foyer)
10:30 – MIC Session 1 – Modelling, Simulation, and
Applications
(Hall New Orleans)
10:30 – MIC Session 3 – Observers and Simulation
(Hall New Orleans)
12:30 – Lunch Break
(Self-Catered)
12:30 – Lunch Break
(Self-Catered)
14:00 – MIC Session 4 – Biosystems, Control and
Modelling
(Hall New Orleans)
13:30 – MIC Session 2 – Simulation, Applications and
Optimization
(Hall New Orleans)
15:30 – Coffee Break
(Diesner Foyer)
14:30 – Tutorial - Visual Object Recognition in Machine
Intelligence
(Hall New Orleans)
16:00 – MIC Session 5 – Modelling, Simulation,
and Optimization
(Hall New Orleans)
15:30 – Coffee Break
(Diesner Foyer)
2
Monday, February 16, 2015
Elnaz Abdollahi, Haichao Wang, Risto Lahdelma (Finland)
07:00 – REGISTRATION
Location: Diesner Foyer
826-020
Comparison of Yaw Stability Control Methods for Mining
Trucks
Ryota Ono, Karl Iagnemma (USA)
08:05 – 08:20 – WELCOME ADDRESS
Location: Hall New Orleans
826-022
Nonlinear Control Logic for an Actuator to Morph a Wing:
Design and Experimental Validation
Michel Joël Tchatchueng Kammegne, Hamdi Belhadj, DucHien Nguyen, Ruxandra Mihaela Botez (Canada)
08:20 – CI SESSION 1 – Computational
Intelligence and Applications
Chair: Prof. Shaharuddin Salleh (Malaysia),
Prof. Ioannis Andreadis (Greece)
Location: Hall New Orleans
827-002
Image Fusion based on Contrast Decomposition
Odysseas Bouzos, Ioannis Andreadis (Greece)
826-027
Modelling and Identification of the Determinants of the
New Orleans Mortality Rate Due to Hurricane Katrina
Ken Tiedemann (Canada)
827-019
Automatic Recognition of Speech-evoked Brainstem
Responses to English Vowels
Hamed Samimi, Mohamad Forouzanfar, Hilmi R. Dajani
(Canada)
826-010
Flexible Gear Model Library - Vibration Excitation
Mechanisms and Gear Force Calculation
Tim Dackermann, Steve Miller, Lars Hedrich, Rolando
Doelling (Germany)
827-021
Cover Set Formation for Target Coverage using Genetic
Algorithm in Directional Sensor Networks
Shaharuddin Salleh, Hosein Mohamadi, Wan Rohaizad
Wan Ibrahim (Malaysia)
12:30 – LUNCH BREAK
Self-Catered
13:30 – MIC SESSION 2 – SIMULATION,
APPLICATIONS AND OPTIMIZATION
Chairs: Prof. Ing. Ruxandra Botez (Canada)
Location: Hall New Orleans
827-022
A New Image Denoising Scheme Using Spiking
Neuromorphic Systems
June Oh, Jeonghwan Gwak, Aasim Rafique, Moongu Jeon
(Korea)
826-028
Performance Database Creation using a Level D Simulator
for Cessna Citation X Aircraft in Cruise Regime
Alejandro Murrieta-Mendoza, Simon Demange, François
George, Ruxandra Botez (Canada)
827-023
Two-sensor EEG-based Stress Detection System
Guillermo Ramos-Auñón, Inma Mohino-Herranz, Héctor
A. Sánchez-Hevia, Cosme Llerena-Aguilar, David Ayllón
(Spain)
826-030
Natural Gas and Electricity Consumption at the End Use
Level in Nonresidential Buildings
Ken Tiedemann (Canada)
10:00 – 10:30 – COFFEE BREAK
Location: Diesner Foyer
826-042
Multi-objective Optimization Strategies for the Custom-FIT
Bra Design
Yiqing Cai, Lihua Chen, Winnie Yu (PR China)
10:30 – MIC SESSION 1 – MODELLING,
SIMULATION AND APPLICATIONS
Chairs: Prof. Ken Tiedemann (Canada), Prof. Risto
Lahdelma (Finland)
Location: Hall New Orleans
14:30 – TUTORIAL - VISUAL OBJECT
RECOGNITION IN MACHINE INTELLIGENCE
Presenter: Prof. Jan Flusser (Czech Republic)
Location: Hall New Orleans
826-013
Modelling Residential and Commercial Demand for
Electricity Using Autoregressive Distributed Lag Models
Ken Tiedemann (Canada)
Machine intelligence is a very broad area consisting of
several components, methods and approaches. One of its
most important parts is understanding visual information.
A key task of image understanding is an automatic
recognition of objects in the visual field of the
826-021
Optimization of Hourly CHP Production and Power
Transmission
3
camera/robot. The aim of the tutorial is to present a general
background of supervised learning and classification
techniques (on the introductory level) and selected featurebased techniques for object description.
The tutorial consists of the following two parts:

In the first, we explain the idea of supervised machine
learning and review all major techniques - NN and k-NN
classifiers, linear classifiers, support vector machines (SVM)
and Bayesian classifiers. This part has an introductory
character but contains also some techniques which are not
commonly known. The audience will understand that object
recognition is a classification problem in a proper metric
feature space and will know how basic classification
approaches work.
After a brief review of the main feature categories, we will
pay a special attention to moment invariants. Moment
invariants have become one of the most important and most
frequently used shape descriptors. Even though they suffer
from certain intrinsic limitations (the worst of which is their
globalness, which prevents direct utilization for occluded
object recognition), they frequently serve as “first-choice
descriptors” and as a reference method for evaluating the
performance of other shape descriptors.
In the second part, the attention is paid to proper object
representation, i.e. to the definition of the feature space in
which the recognition will be carried out. We start with the
explanation of the basic requirements imposed on the
features – invariance and discriminability. Invariance
means that the features are insensitive to object
deformations and other intra-class variations.
Discriminability, on the other hand, ensures that objects
belonging to different classes must have significantly
different feature values. Clearly, these two requirements are
antagonistic – the broader the invariance, the less
discrimination power and vice versa. Choosing a proper
trade-off between invariance and discrimination power is a
very important task in feature-based object recognition. The
existing invariant features used for describing 2D objects
can be categorized from various points of view.
Categorization, according to the mathematical tools used,
may be as follows:





In this tutorial, many practical examples and results from
various application areas will be presented. We will show
the applications in robot vision, remote sensing, character
and logo recognition, medicine, and others.
Prof. Jan Flusser received the M.Sc. degree in
mathematical engineering from the Czech Technical
University, Prague, Czech Republic in 1985 and the Ph.D.
degree in computer science from the Czechoslovak Academy
of Sciences in 1990. Since 1985 he has been with the
Institute of Information Theory and Automation, Academy
of Sciences of the Czech Republic, Prague. In 1995-2007 he
was holding the position of a head of Department of Image
Processing. In 2007 he was appointed the Director of the
Institute. Since 1991 he has been also affiliated with the
Faculty of Mathematics and Physics, Charles University,
Prague and with the Czech Technical University, Prague
(full professorship in 2004), where he gives undergraduate
and graduate courses on Digital Image Processing and
Pattern Recognition and specialized graduate course on
Invariants and wavelets. He has research and teaching
experience from many universities and institutions
worldwide.
Jan Flusser has a 25-years experience in basic and applied
research in the field of image analysis, pattern recognition,
and machine learning. He has been involved in applications
in remote sensing, medicine, and astronomy. He has
authored and coauthored more than 200 research
publications in these areas. Some of his journal papers
became classical and are frequently cited (Google Scholar
lists more than 10 000 citations of J. Flusser’s publications).
Simple shape descriptors – compactness,
convexity, elongation, etc.
Transform coefficient features are calculated from
a certain transform of the image – Fourier
descriptors, Hadamard descriptors, Radon
transform coefficients, and wavelet-based features.
Point set invariants use positions of dominant
points.
Differential invariants employ derivatives of the
object boundary.
Moment invariants are special functions of image
moments.
Another viewpoint reflects what part of the object is needed
to calculate the invariant.

change of the image influences values of all
invariants and is not ”localized” in a few
components only. This is why global invariants
cannot be used when the studied object is partially
occluded by another object and/or when a part of it
is out of the visual field.
Local invariants are, on the contrary, calculated
from a certain neighborhood of dominant points
only.
15:30 – 16:00 – COFFEE BREAK
Location: Diesner Foyer
Global invariants are calculated from the whole
image (including background if no segmentation
was performed). Most of them include projections
of the image onto certain basic functions and are
calculated by integration. Comparing to local
invariants, global invariants are much more robust
with respect to noise, inaccurate boundary
detection and other similar factors. On the other
hand, their serious drawback is the fact, that a local
16:00 – TUTORIAL CONTINUED
Location: Hall New Orleans
827-003
A Personalized Genetic Algorithm with Forgetting Factor for
Intelligent Test Generation
4
Wei Wang, Zhendong Niu, Ke Niu, Peipei Gu, Wenjuan
Niu, Zhi Huang (PR China)
10:30 – MIC SESSION 3 - OBSERVERS AND
SIMULATION
Chair: Prof. Bahram Shafai (USA), Prof. Witold Byrski
(Poland)
Location: Hall New Orleans
827-015
A Learning Resource Recommendation Method Combining
User Sequential Interaction with Collaborative Filtering
Wenjuan Niu, Zhendong Niu, Shiping Tang, Zhi Huang,
Wei Wang, Yaxin Chen, and Xi Li (PR China)
826-031
A Widely Linear Quadratic Estimation Algorithm for
Functionals of Gaussian Signals
Rosa M. Fernández-Alcalá, Jesύs Navarro-Moreno, Juan
C. Ruiz-Molina, Nuria Ruiz-Fuentes (Spain)
19:00 – DINNER BANQUET
Location: Hotel Schwarzer Adler
(Kaiserjägerstraße 2, 6020 Innsbruck)
826-034
Pseudo PI Observer Design for Fractional Order Systems
Bahram Shafai, Amirreza Oghbaee (USA)
Tuesday, February 17, 2015
826-044
Weighted-Minimum Cost Reliability Ratio Path Problem
Wan Rohaizad Wan Ibrahim, Shaharuddin Sallehb
(Malaysia)
08:30 – CI SESSION 2 – THEORY, MACHINE
LEARNING, AND PATTERN RECOGNITION
Chair: Prof. Ryotaro Kamimura (Japan), Prof. Tetsuya
Suzuki (Japan)
Location: Hall New Orleans
826-037
The Theory and Application of Double Window Exact State
Observer for Detection of Abrupt Changes in Parameters of
Continuous Systems
Jedrzej Byrski, Witold Byrski (Poland)
827-004
Approximate Policy Iteration for Cooperative Control of
Multiagent Systems under Limited Sensing/Communication
Jing Wang, Tianyu Yang, Gennady Staskevich, Brian Abbe
(USA)
826-014
Estimation and Compensation of Phase Imbalances in
Transmitters using Multiple Amplifiers in Parallel
Sara Ribeiro, Paulo Montezuma, Daniel Marques, Rui
Dinis (Portugal)
827-008
DoS Attack Detection using Source IP address entropy and
Average packet arrival time interval
Keiichirou Kurihara, Kazuki Katagishi (Japan)
826-023
Improved BER Performance of Base Station Cooperation
Systems Employing SC-FDE Modulations with IB-DFE
Receivers
Filipe Jorge Bolas Casal Ribeiro, Rui Miguel Henriques
Dias Morgado Dinis, Francisco António Bucho Cercas,
Adão Paulo Soares Silva (Portugal)
827-012
Object Recognition in Clutter Color Images using
Hierarchical Temporal Memory combined with SalientRegion Detection
Radoslav Škoviera, Ivan Bajla, Júlia Kučerova (Slovakia)
827-017
SOM Knowledge Induced Learning with Maximum
Information Principle to Improve Multi-Layered Neural
Networks
Ryotaro Kamimura, Ryozo Kitajima (Japan)
12:30 – LUNCH BREAK
Self-Catered
14:00 – MIC SESSION 4 – BIOSYSTEMS,
CONTROL AND MODELLING
Chair: Prof. Andrzej Swierniak (Poland)
Location: Hall New Orleans
827-018
Simplified Information Maximization for Improving MultiLayered Neural Networks
Ryotaro Kamimura (Japan)
826-016
Experimental Data in Modeling of Intracellular Processes
Jaroslaw Smieja, Marzena Dolbniak (Poland)
827-026
Comparison of Two ASCII Art Extraction Methods: A RunLength Encoding based Method and a Byte Pattern based
Method
Tetsuya Suzuki (Japan)
826-017
Sensitivity of Controllability Conditions for Models of
Combined Anticancer Therapy
Andrzej Swierniak, Jerzy Klamka (Poland)
10:00 – 10:30 – COFFEE BREAK
Location: Diesner Foyer
5
826-018
An Estimation Algorithm for Optimal Insemination Phase
Based on Vaginal Resistance and Temperature
Hiroki Shimizu, Hidetoshi Oya, Koji Yoshioka (Japan)
Shwetang Peshin, David Ramirez, Jongmin Lee, Henry
Braun, Cihan Tepedelenlioglu, Andreas Spanias, Mahesh
Banavar, Devarajan Srinivansan (USA)
826-019
Design of Hybrid Adaptive Control of Antagonistic
Pneumatic Muscle Actuator
Jan Pitel, Mária Tóthová (Slovakia)
826-001
Modelling of the Unloading Problem in an Automated
Container Terminal
Jiabin Luo, Yue Wu (UK)
826-007
Numerical Studies of Aggregate Demand Response by RealTime Pricing
Kazuhiro Sato (Japan)
826-003
Psychological Evaluation of Synchronous Motions of Avatar
for e-learning Exercise
Takeo Tanaka, Shidong Zhsmhg, Zhengdao Zhu, Takafumi
Okano, Takuya Yazaki, Mizuki Nakajima, Hiroshi
Hashimoto (Japan)
15:30 – 16:00 – COFFEE BREAK
Location: Diesner Foyer
19:00 – END OF CONFERENCE
****************************************************
IASTED would like to thank you for attending
MIC/CI 2015. Your participation helped make this
international event a success, and we look
forward to seeing you at upcoming IASTED
events.
****************************************************
16:00 – MIC SESSION 5 – MODELLING,
SIMULATION, AND OPTIMIZATION
Chairs: Dr. Andreas Spanias (USA)
Location: Hall New Orleans
826-043
A Network Contention Model for the Extreme-scale
Simulator
Christian Engelmann, Thomas Naughton (USA)
NOTES
826-005
An Efficient Method for Modeling and Evaluating
Quantization Effects on Gaussian Signals
João Guerreiro, Rui Dinis, Paulo Montezuma (Portugal)
826-009
Observer-based Robust Control with Compensation Inputs
for a Class of Uncertain Linear Discrete-time Systems
Hidetoshi Oya, Xiang Yu (Japan)
826-026
Optimization of Heat Production for Multi-plant District
Heating Network
Tingting Fang, Risto Lahdelma (Finland)
826-024
Hybrid Neural Network and Fuzzy Logic Methods for
Implementation of Equipment Actual State Assessment of
Power Stations and Substations
Alexandra I. Khalyasmaa, Stepan Dmitriev, Andrey A.
Verxozin, Sergei F. Sarapulov (Russia)
826-032
Visualization of the Input-output Relation of SISO/MIMO
Systems using Parametrization of Two-stage Compensator
Design
Keisuke Hashimoto, Kazuyoshi Mori (Japan)
826-029
A Photovoltaic (PV) Array Monitoring Simulator
6
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Books:
[2] R.E. Moore, Interval analysis (Englewood Cliffs, USA:
Prentice-Hall, 1966).
Note that the title of the book is in lower case letters and
italicized. There is no comma following the title. Place of
publication and publisher are given.
Chapters in Books:
[3] P.O. Bishop, Neurophysiology of binocular vision, in J.
Houseman (Ed.), Handbook of physiology, 4 (New
York: Springer-Verlag, 1970) 342–366.
Note that the place of publication, publisher, and year of
publication are enclosed in brackets. Editor of book is
listed before book title.
Theses:
[4] D.S. Chan, Theory and implementation of
multidimensional discrete systems for signal
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figures) with double-line spacing, single-column per page,
and clear fonts with 12-pt size.
CHECK LIST
A checklist of formatting points can be obtained from the
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http://www.actapress.com/SubmissionCheckList.aspx. We
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is completed. Compliance with these formatting instructions
will expedite the publication process and ensure high-quality
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