- ceeit 2015

Transcription

- ceeit 2015

UPCOMING CONFERENCES
Chengdu, China, July 23-24, 2015
Conference Name
2015 3rd Asia Conference on Mechanical and
Materials Engineering
(ACMME 2015)
2015 International Conference on Electronics
Computer Technology
(ICECT 2015)
2015 2nd International Conference on Control
and Robotics Engineering
(ICCRE 2015)
Conference Website
Submission Deadline & Email
www.acmme.org
April 15, 2015
sub@acmme.org
www.icect.org
April 5, 2015
icect@saise.org
www.iccre.org
April 5, 2015
iccre@saise.org
Conference Website
www.icmeae.net
May 10, 2015
icmeae@saise.org
Bangkok, Thailand, August 23-25, 2015
Conference Name
2015 2nd International Conference on
Mechatronics, Electronics and Automation
Engineering (ICMEAE 2015)
2015 International Conference on Materials
Technologies and Sciences (ICMTS 2015)
2015 International Conference on Renewable
Energy and Development (ICRED 2015)
www.icmts.org
May 5, 2015
icmts@saise.org
www.icred.org
May 15, 2015
icred@saise.org
Conference Website
www.cpese.net
June 30, 2015
cpese@saise.org
Kitakyushu, Japan, September 10-12, 2015
Conference Name
2015 2nd International Conference on Power
and Energy Systems Engineering
(CPESE 2015)
2015 International Conference on Smart Grid
and Communications
(ICSGC 2015)
www.icsgc.org
June 30, 2015
icsgc@saise.org
Contents
Contents ············································································································1
Welcome Page ·····································································································2
Conference Venue·································································································3
Simple Version of Conference Schedule ······································································4
Introduction to Keynote Speakers ··············································································5
Schedule of Sessions ·····························································································7
Poster Session ····································································································26
Call for Papers ····································································································32
1
Welcome to CEEIT 2015 in Hong Kong, China
Welcome to attend 2015 2nd International Conference on Electrical Engineering and Information
Technology (CEEIT 2015). CEEIT 2015 has 2 workshops; they are 2015 3rd International Conference on
Bioinformatics and Computational Biology (ICBCB 2015) and 2015 International Conference on
Measurement, Automation and Instrumentation (ICMAI 2015). The aim of CEEIT 2015, ICBCB 2015 and
ICMAI 2015 are to present the latest research and results of scientists related to electrical engineering and
information technology, computational biology, measurement, automation and instrumentation. These 3
conferences will provide opportunities for delegates from different areas to exchange new ideas and
application experiences face to face, to establish business or research relations and to find global partners for
future collaboration. We hope that the conference cam make significant contribution to these up-to-date
scientific fields. And wish all respected authors and listeners a nice trip in Hong Kong, China.
Warm Tips:
All papers of CEEIT 2015, ICBCB 2015 and ICMAI 2015, will be reviewed by two or three experts from the IPC.
After a careful reviewing process, all accepted papers after proper registration and presentation, Papers published by
WIT Transactions on Information and Communication Technologies (ISSN: 1743-3517) are referenced by Scopus,
Crossref, ProQuest and other notable index and referencing databases.(quated from http://library.witpress.com/)
 Get your presentation PPT prepared and print out the notification letter before you leave for Hong Kong,
China.
 Pick up the conference materials at the reception desk of CEEIT 2015/ICBCB 2015/ICMAI 2015 in the
lobby of The City View Hotel on March 12, 2015.
 Please attend the conference and arrive the Conference Room before 9:00 a.m. in formal attire on March
13, 2015.
 There will be a group photo and coffee break between 10:25-10:40 on March 13, 2015; every attendee
will be invited to take group photo.
 Copy your PPT to the conference computer before your session begins. One best presentation will be
selected from each session, and the best one will be announced and awarded at the end of each session.
Session group photo will be taken after the award.
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Conference Venue(会议地点)
The City View Hotel
Hong Kong, China
（城景國際，中国·香港）
Address: 23 Waterloo Road, Kowloon, Hong Kong
地址：香港九龍窩打老道 23 號
Website(网址)：www.thecityview.com.hk
电话(TEL)：(852) 2783 3888
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Simple Version of Conference Schedule
Dates
March 12, 2015(Thursday )
Venue
Items
In the lobby of The City View
Participants Registration and Conference kits
(城景國際大堂)
Collection
10:00AM-12:00AM
13:30PM-16:00PM
Opening Ceremony and Keynote Speeches
March 13, 2015 (Friday)
th
Diamond Room, 5 floor
Keynote Speech I: Prof. Steven Guan
(9:00AM-10:25AM)
Keynote Speech II: Prof. Wang Jun
th
Coffee Break and Group Photo
(10:25AM-10:40AM)
Paper Presentation Session I (7 papers)
th
Session Chair: Prof. Steven Guan
(10:40AM-12:00PM)
st
City Café, 1 floor
Lunch(Buffet)
(12:00PM-13:30PM)
Keynote Speech
th
Diamond Room I, 5 floor
(13:40PM-14:20PM)
Keynote Speech III: Prof. Chin-Chen Chang
Break
(14:20PM-14:30PM)
(Preparation for next session)
Paper Presentation Session II (8 papers)
th
(14:30PM-15:50PM)
th
Session Chair: TBA
Paper Presentation Session III (7 Papers)
Diamond Room II, 5 floor
Session Chair: Prof. Chin-Chen Chang
(14:30PM-15:50PM)
th
Coffee Break
(15:50PM -16:00PM)
Paper Presentation Session II (6 papers)
th
(16:00PM -17:00PM)
th
Session Chair: TBA
Paper Presentation Session IV (6 Papers)
Diamond Room II, 5 floor
Session Chair: Dr. Zhenguo Sun
(16:00PM -17:00PM)
st
City Café, 1 floor
(18:30PM -20:00PM)
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Dinner(Buffet)
Introduction to Keynote Speakers
Prof. Wang Jun
Chinese University of Hong Kong, Hong Kong
Biography: Jun Wang is a Professor and the Director of the Computational Intelligence Laboratory in the
Department of Mechanical and Automation Engineering at the Chinese University of Hong Kong. Prior to
this position, he held various academic positions at Dalian University of Technology, Case Western Reserve
University, and University of North Dakota. He also held various short-term visiting positions at USAF
Armstrong Laboratory (1995), RIKEN Brain Science Institute (2001), Universite Catholique de Louvain
(2001), Chinese Academy of Sciences (2002), Huazhong University of Science and Technology
(2006–2007), and Shanghai Jiao Tong University (2008-2011) as a Changjiang Chair Professor. Since 2011,
he is a National Thousand-Talent Chair Professor at Dalian University of Technology on a part-time basis.
He received a B.S. degree in electrical engineering and an M.S. degree in systems engineering from Dalian
University of Technology, Dalian, China. He received his Ph.D. degree in systems engineering from Case
Western Reserve University, Cleveland, Ohio, USA. His current research interests include neural networks
and their applications. He published over 170 journal papers, 15 book chapters, 11 edited books, and
numerous conference papers in these areas. He is the Editor-in-Chief of the IEEE Transactions on
Cybernetics since 2014 and a member of the editorial board of Neural Networks since 2012. He also served
as an Associate Editor of the IEEE Transactions on Neural Networks (1999-2009), IEEE Transactions on
Cybernetics and its predecessor (2003-2013), and IEEE Transactions on Systems, Man, and Cybernetics –
Part C (2002–2005), as a member of the editorial advisory board of International Journal of Neural Systems
(2006-2013), as a guest editor of special issues of European Journal of Operational Research (1996),
International Journal of Neural Systems (2007), Neurocomputing (2008, 2014), and International Journal of
Fuzzy Systems (2010, 2011). He was an organizer of several international conferences such as the General
Chair of the 13th International Conference on Neural Information Processing (2006) and the 2008 IEEE
World Congress on Computational Intelligence, and a Program Chair of the IEEE International Conference
on Systems, Man, and Cybernetics (2012). He has been an IEEE Computational Intelligence Society
Distinguished Lecturer (2010-2012, 2014-2016). In addition, he served as President of Asia Pacific Neural
Network Assembly (APNNA) in 2006 and many organizations such as IEEE Fellow Committee
(2011-2012); IEEE Computational Intelligence Society Awards Committee (2008, 2012, 2014), IEEE
Systems, Man, and Cybernetics Society Board of Directors (2013-2015), He is an IEEE Fellow, IAPR
Fellow, and a recipient of an IEEE Transactions on Neural Networks Outstanding Paper Award and APNNA
Outstanding Achievement Award in 2011, Natural Science Awards from Shanghai Municipal Government
(2009) and Ministry of Education of China (2011), and Neural Networks Pioneer Award from IEEE
Computational Intelligence Society (2014), among others.
Prof. Steven Guan
Xi’an Jiaotong-Liverpool University, China
Biography: Steven Guan received his M.Sc. & Ph.D. from the University of North Carolina at Chapel
Hill. He is currently a professor in the computer science and software engineering department at Xi’an
Jiaotong-Liverpool University (XJTLU). Before joining XJTLU, he was a tenured professor and chair in
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intelligent systems at Brunel University, UK. Prof. Guan has worked in a prestigious R&D organization for
several years, serving as a design engineer, project leader, and department manager. After leaving the
industry, he joined Yuan-Ze University in Taiwan for three and half years. He served as deputy director for
the Computing Center and the chairman for the Department of Information & Communication Technology.
Later he joined the Electrical & Computer Engineering Department at National University of Singapore as
an associate professor. Prof. Guan’s research interests include: machine learning, modeling, security,
networking, and random number generation. He has published extensively in these areas, with 129 journal
papers and 160+ book chapters or conference papers. He has chaired several international conferences and
served in 130+ international conference committees and 20+ editorial boards.
Prof. Chin-Chen Chang
Feng Chia University, Taiwan
Biography: Professor Chin-Chen Chang obtained his Ph.D. degree in computer engineering from
National Chiao Tung University. His first degree is Bachelor of Science in Applied Mathematics and master
degree is Master of Science in computer and decision sciences. Both were awarded in National Tsing Hua
University. Dr. Chang served in National Chung Cheng University from 1989 to 2005. His current title is
Chair Professor in Department of Information Engineering and Computer Science, Feng Chia University,
from Feb. 2005.
Prior to joining Feng Chia University, Professor Chang was an associate professor in Chiao Tung
University, professor in National Chung Hsing University, chair professor in National Chung Cheng
University. He had also been Visiting Researcher and Visiting Scientist to Tokyo University and Kyoto
University, Japan. During his service in Chung Cheng, Professor Chang served as Chairman of the Institute
of Computer Science and Information Engineering, Dean of College of Engineering, Provost and then
Acting President of Chung Cheng University and Director of Advisory Office in Ministry of Education,
Taiwan.
Professor Chang's specialties include, but not limited to, data engineering, database systems, computer
cryptography and information security. A researcher of acclaimed and distinguished services and
contributions to his country and advancing human knowledge in the field of information science, Professor
Chang has won many research awards and honorary positions by and in prestigious organizations both
nationally and internationally. He is currently a Fellow of IEEE and a Fellow of IEE, UK. And since his
early years of career development, he consecutively won Institute of Information & Computing Machinery
Medal of Honor, Outstanding Youth Award of Taiwan, Outstanding Talent in Information Sciences of
Taiwan, AceR Dragon Award of the Ten Most Outstanding Talents, Outstanding Scholar Award of Taiwan,
Outstanding Engineering Professor Award of Taiwan, Chung-Shan Academic Publication Awards,
Distinguished Research Awards of National Science Council of Taiwan, Outstanding Scholarly Contribution
Award of the International Institute for Advanced Studies in Systems Research and Cybernetics, Top Fifteen
Scholars in Systems and Software Engineering of the Journal of Systems and Software, Top Cited Paper
Award of Pattern Recognition Letters, and so on. On numerous occasions, he was invited to serve as Visiting
Professor, Chair Professor, Honorary Professor, Honorary Director, Honorary Chairman, Distinguished
Alumnus, Distinguished Researcher, Research Fellow by universities and research institutes. He also
published over serval hundred papers in Information Sciences. In the meantime, he participates actively in
international academic organizations and performs advisory work to government agencies and academic
organizations.
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Schedule of Morning Sessions
Venue: Diamond Room, 5th floor
Time: 09:00 a.m.-12:00 p.m., March 13, 2015
Opening Remarks
Prof. Steven Guan
9:00a.m.-9:05a.m.
Prof. Steven Guan
Xi’an Jiaotong-Liverpool University, China
Keynote Speech I
9:05-9:45
Topic of Keynote Speech: Recursive Genetic Algorithm Learning with Automatic
Domain Decomposition
Abstract: A recursive domain decomposition approach combined with task
decomposition is proposed to tackle the difficulty of classification problems caused
by the complex pattern relationship and curse of dimensionality. An incremental
hyperplane partitioning approach is proposed for classification. Hyperplanes that are
close to the classification boundaries of a given problem are searched using an
incremental approach based upon Genetic Algorithm (GA). A new method Incremental Linear Encoding based Genetic Algorithm (ILEGA) is proposed for that
purpose. We solve classification problems through a simple and flexible
chromosome encoding scheme, where the partitioning rules are encoded by linear
equations rather than If-Then rules. The algorithm is tested with six datasets. The
experimental results show that ILEGA outperform in both lower- and
higher-dimensional problems compared with the original GA. A variation of the
incremental hyperplane partitioning approach is also presented, namely incremental
hypersphere partitioning.
Prof. Wang Jun
Chinese University of Hong Kong, Hong Kong
Topic of Keynote Speech: Neurodynamic Optimization Approaches to Parallel Data
Selection in the Era of Big Data
Abstract: In the present information era, huge amount of data to be processed daily.
Keynote Speech II In contrast of conventional sequential data processing techniques, parallel data
9:45a.m.-10:25a.m processing approaches can expedite the processes and more efficiently deal with big
data. In the last few decades, neural computation emerged as a popular area for
parallel and distributed data processing. The data processing applications of neural
computation included, but not limited to, data sorting, data selection, data mining,
data fusion, and data reconciliation. In this talk, neurodynamic approaches to parallel
data processing will be introduced, reviewed, and compared.
In particular, my
talk will compare several mathematical problem formulations of well-known
multiple winners-take-all problem and present several recurrent neural networks
with reducing model complexity. Finally, the best one with the simplest model
complexity and maximum computational efficiency will be highlighted. Analytical
and Monte Carlo simulation results will be shown to demonstrate the computing
characteristics and performance of the continuous-time and discrete-time models.
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The applications to parallel sorting, rank-order filtering, and data retrieval will be
also discussed.
Coffee Break and Group Photo
10:25a.m.-10:40a.m.
Session I- Electrical Engineering and Information Technology
(7 papers, 10 minutes for each paper, including Q&A)
Time: 10:40a.m.-11:50a.m.
Session Chair: Prof. Steven Guan
Presenter: Xin Xu
From: Science and Technology on Information System Engineering Laboratory,
China
Title: Emitter Frequency Refinement based on Maximum Likelihood
Authors: Xin Xu, Jiaren Rao, Jianhong Wang, Wei Wang
TE2015-101
10:40-10:50
Abstract: Frequency estimation via signal sorting is widely recognized as one of the
most practical technologies in signal processing. However, the estimated frequencies
via signal sorting may be inaccurate and biased due to signal fluctuation under
different emitter working modes, problems of transmitter circuit, environmental
noises or certain unknown interference sources. Therefore, it has become an
important issue to further analyze and refine signal frequencies after signal sorting.
To address the above problem, we have brought forward an iterative frequency
refinement method based on maximum likelihood. Iteratively, the initial estimated
signal frequency values are refined. Experimental results indicate that the refined
signal frequencies are more informative than the initial ones. As another advantage of
our method, noises and interference sources could be filtered out simultaneously. The
efficiency and flexibility enables our method to apply in a wide application area, i.e.,
communication, electronic reconnaissance and radar intelligence analysis.
TE2015-105
10:50-11:00
Presenter: Chan-Ho Hwang
8
From: Korea Maritime and Ocean University, Republic of Korea
Title: Doppler Compensation based on Recursive Block for Wireless Communication
Authors: Chan-Ho Hwang and Ki-Man Kim
Abstract: The Doppler effect and fading that has time variance affect the wireless
communication reliability. Especially, the Doppler effect reduces the transmission
efficiency. Thus, we need to recognize the channel state and apply it to
communication technique for increasing transmission efficiency. In this paper, we
present the frame recursive modulation and demodulation method using ambiguity
function and Kay’s estimator to estimate the Doppler frequency. Furthermore, we
conducted the simulation in environment with Rayleigh fading and the Doppler
effect. When the channel coding technique was not used, the bit error rate of the
proposed method was improved maximum 17 % compared with conventional
method.
Presenter: Hyeong-Woo Lee
From: Korea Maritime and Ocean University, Republic of Korea
Title: Performance Comparison of the Training Sequences in MIMO-OFDM System
TE2015-109
11:00-11:10
Authors: Hyeong-Woo Lee, Ji-Hong Son and Ki-Man Kim
Abstract: Orthogonal Frequency Division Multiplexing (OFDM) is a popular
method for high data rate wireless transmission. However, transmission rate is
constrained by bandwidth limit. The combination of Multiple Input Multiple Output
(MIMO) signal processing with OFDM is regarded as a promising solution for
enhancing the data rates of next-generation wireless communication systems
operating in frequency-selective fading environments. In MIMO-OFDM, dividing the
transmitted signal from each antenna is very important element. Training sequence
with good correlation properties is used to MIMO-OFDM for dividing signals. In this
paper we introduce several training sequences with good correlation characteristic
and simulate the performance of sequence via Rayleigh fading channel.
Presenter: Tae Seok Ahn
From: Korea Maritime And Ocean University, Republic of Korea
Title: An Efficient Receiver Structure with High Throughput for Underwater
Communication
TE2015-110
11:10-11:20
Authors: Ji Won Jung, Tae Seok Ahn, Dong Won Lee, Tae Doo Park
Abstract: Acoustic channels are characterized by long multipath spreads that caused
inter symbol interference. The way in which this fact influences the design of the
receiver structure is considered. To satisfy performance and throughput, we presented
consecutive iterative BCJR equalization to improve the performance and throughput.
To achieve low error performance, we resort to powerful BCJR equalization
algorithms that iteratively update probabilistic information between inner decoder
and outer decoder. Also, to achieve high throughput, we divide long packet into
consecutive small packets, and estimated channel information of previous packets are
compensated to next packets. Based on experimental channel response, we confirmed
9
that the performance is improved for long length packet size.
Presenter: Gun Woong Park
Title: An Efficient Turbo Equalization for Faster than Nyquist Signal
Authors: Ji Won Jung, Chang Uk Baek, Gun Woong Park, Ha Hyun Sung
TE2015-111
11:20-11:30
Abstract: In this paper, we analyzed efficient decoding scheme with faster than
Nyquist (FTN) signaling that is transmission method faster than Nyquist theory and
increase the throughput. We proposed BCJR equalization model to minimize inter
symbol interference when faster than Nyquist signal is transmitted. The presented
model utilized interference as branch information and iteratively exchange
probabilistic information between BCJR and LDPC decoder. In BCJR equalizer, the
performance depends on Euclidean distance of branch metrics between possible
transitions at each node, in order to maximize Euclidean distances, we proposed FTN
re-mapper by reordering the branch matrices on trellis diagram. We confirmed that
performance was improved compared to conventional methods as increasing
throughput of fast than Nyquist signal.
Presenter: Chang uk Baek
TE2015-112
11:30-11:40
Title: The Phase Estimation Algorithm of Arrival Time Difference in MIMO
Underwater Sensor Communication
Authors: Chang Uk Baek, Ji Won Jung
Abstract: One objective in developing the underwater sensor communication
systems is to increase data rates and reliability. A promising way to achieve this is to
combine multiple-input and multiple-output signal processing with space-time coding
scheme, which offers higher coding and diversity gains and improves the spectrum
efficiency and/or reliability. It is noted, however, that time delay differences and
phase differences among different channels increase symbol interferences and
degrade the system performance. In this paper, we investigate the phase differences
and their effects on multiple-input and multiple-output systems, and propose a
compensation algorithm for underwater channel model to minimize their effects.
TE2015-209
11:40-11:50
Presenter: Wichet Thipprasert
From: Rajamangala University of Technology Lanna Chiang Rai, Chiang Rai,
Thailand
Title: Electrical Performances of Line Post Insulators in 22 kV Distribution System
Authors: Peerapol Jirapong and Wichet Thipprasert
Abstract: Electrical insulators in 22 kV Distribution System of the Provincial
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Electricity Authority (PEA) is mostly porcelain insulator types that consist of line
post insulators in the serious pollution area. The insulators of distribution system will
be polluted by industrial contaminants, salt fog or natural dust. In the records of PEA
shows that pollution flashover is one of the main natural calamities harming and
affecting the voltage stability and reliability of distribution system. This paper to
study and compares the test results obtained from artificial pollution tests according
to IEC 60507 with line post and pin post type insulators of medium system under
same test conditions. The salt fog test results indicate that the pollution flashover
performance of pin post insulator is less than to 65 percent of wet power frequency
withstand voltage at equivalent salt deposit density (ESDD) = 0.5 mg/cm2 and the
leakage current (LC) of line post insulator increased to 10.8 mA at ESDD = 0.5
mg/cm2 at nominal voltage. In the experiment indicate that AC pollution flashover
performance of pin post insulator has better than line post insulator in the serious
pollution area. This data will be useful to be guideline for solving problems and
reducing power loss from leakage current on the surface of the insulators as a result
of surface dirt and pollution. Moreover, it will be useful to select or design suitable
insulators for using in places with salt conditions, high rainfall, high wind speeds and
high humidity.
Best Presentation Award and Group Photo of Session I
Lunch Time
12:00 a.m.-13:30 p.m.
City Caféof City View Hotel, 1st floor
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Schedule of Afternoon Sessions
Venue: Diamond Room I, 5th floor
Time: 13:40 p.m.-14:20 p.m. , March 13, 2015
Prof. Chin-Chen Chang
Feng Chia University, Taiwan
Topic of Keynote Speech: Using Genetic Algorithm to Embed Important
Information in an Image Compression File
Keynote Speech
III
13:40-14:20
Abstract: In this talk, I will talk about a novel image-hiding scheme for hiding
important messages in an image compression file, that is called Absolute Moment
Block Trancation Coding (AMBTC) file. In the encoding procedure, AMBTC
scheme classifies the host image pixels into two groups of pixels according to the
pixel values. For those greater than the mean value, they are classified into G1.
Otherwise, they are classified into G0. For each pixel, if it is classified into G1, a
corresponding bit valued 1 is stored in the bitmap. Otherwise, one bit valued 0 is
stored in the bitmap if its corresponding pixel belongs to G0. After the bit map is
generated, two quantisation levels L and H are now going to be computed for
representing pixels in G0 and G1, respectively. For the two newly generated pixel
values L and H, the corresponding secret pixel values go through an optimal
substitution process and are transformed into other pixel values by following a
genetic algorithm. Then, we can embed the transformed pixel values in L and H
pixels and obtain the stego-image. Extensive experimental results demonstrate that
this method is capable of offering satisfiable stego-image quality.
Break (14:20 p.m.-14:30 p.m.)
Note: This ten-minute break is for preparation of next sessions. Please check the venue of
your session and go to the corresponding room before your session starts.
Session II (14:30 p.m.-15:50 p.m.)
Diamond Room I
Session III (14:30 p.m.-15:50 p.m.)
Diamond Room II
Coffee Break (15:50 p.m.-16:00 p.m.)
Session II (16:00 p.m.-17:00 p.m.)
Diamond Room I
Session IV (16:00 p.m.-17:00 p.m.)
Diamond Room II
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Session II- Electrical Engineering and Information Technology
(14 Papers, 10 minutes for each paper, including Q&A)
Venue: Diamond Room I, 5th floor
Time: 14:30 p.m.-15:50 p.m. 15:30 p.m.-17:00 p.m.
Session Chair: TBA
Presenter: Shi You
From: Technical University of Denmark, Denmark
Title: Economic Dispatch of Hydrogen Systems in Energy Spot Markets
TE2015-204
14:30-14:40
Authors: Shi You, Per Bromand Nørgård
Abstract: Hydrogen system, as a new energy carrier, could deliver clean and
efficiency energy services in a wide range of applications. This paper presents an
economic dispatch-based mathematical model that facilitates investigations on the
techno-economic feasibility of hydrogen systems in the context of energy spot
markets. The generic hydrogen system is comprised of an electrolysis for hydrogen
production, a hydrogen storage tank and a fuel cell system for cogeneration of
electricity and heat. A case study is presented with information from practical
hydrogen systems and the Nordic energy markets to demonstrate the effectiveness
of the proposed model and approach.
Presenter: Nur Zawani Saharuddin
From: Universiti Teknikal Malaysia Melaka, Malaysia
Title: Voltage Source Inverter Switches Faults Analysis Using S-Transform
Authors: M. Manap, A. R. Abdullah, N. Z. Saharuddin, N. A. Abidullah, N. S.
Ahmad, N. Bahari
TE2015-210
14:40-14:50
Abstract: Nowadays, voltage source inverter (VSI) is frequently used in power
electronics system. This is due to its ability that can offer higher efficiency, high
torque, simpler control system and improved power output. Thus, to ensure safety
and reliability of a system, the development of appropriate fault detection technique
for faults analysis is a must. This paper proposes S-transform which is
time-frequency distribution (TFD) for analyzing VSI signal to detect and identify
switches and types of faults. By using the TFD, the faults signal is translated into
time-frequency representation (TFR) and then, parameters of the signal are
estimated from the TFR. The signal parameters are such as instantaneous of rms
current, rms fundamental current, average current, total waveform distortion
(TWD), total harmonic distortion (THD) and total non-harmonic distortion (TnHD).
Based on the signal parameters, the characteristics of the faults are calculated and
used as input for faults detection and classification system. At the end of this
research, the results show that the proposed TFD give better analysis for switches
faults parameters estimation and suitable for detection and identification system.
13
Presenter: Chang Zhou
From: Beijing Institute of Technology, China
Title: An Induced Fluorescence Detecting System With Autofocus Electrically
Tunable Len
TE2015-211
14:50-15:00
Authors: Chang Zhou, Xiaoming Hu, Ya Zhou
Abstract: Confocal microscopy is a method for induced fluorescence detecting
system which is widely used in biochip and microfluidic chip. However, the
sensitivity is influenced seriously by the installation uncertainty which leads to the
detecting plane being away from the object plane. A new autofocus confocal system
with an electrically tunable liquid lens is designed to adjust the detecting plane
automatically through changing the focal length of the object electrically tunable
lens group until light focus on the center of detection channel by a camera. This
design makes it possible to improve the accuracy of confocal microscopy in a small
space.
Presenter: Aljona Stupina
From: Siberian Federal University, Russian Federation
Title: Classification of Electronic Devices by Production Batches and Quality
Classes
Authors: Lev Kazakovtsev, Aljona Stupina, Margarita Karaseva, Victor Orlov
TE2015-212
15:00-15:10
Abstract: Authors consider problem of electronic units packaging with highly
reliable electronic components and preventing ingress of low-grade counterfeit
products that does not meet the requirements for reliability.
When making any electronic circuits, it is desirable to use electronic and radio
components with the same characteristics which is most likely achieved using
components (chips, transistors, diodes, capacitors, relays, crystals, resistors, etc.)
manufactured as a single production batch. If the production method is not exactly
known, only affordable way to improve the quality is the comprehensive testing of
the delivered production batches. The paper discusses the problem of identifying a
production batch of electronic and radio components delivered from a provider
based on the test results. The problem is reduced to a series of problems of cluster
analysis a special genetic algorithm is applied for.
In addition, the testing problem of electronic and radio products is presented as
pattern recognition without a teacher. A new algorithm for data classification in the
multidimensional feature space is given. It was proposed to group objects on the
basis of the distances analysis, i.e., the algorithm does not require knowledge about
a number of classes in contrast to the majority of well-known algorithms for
taxonomy.
TE2015-213
15:10-15:20
Presenter: Ekkachai Chaidee
14
From: Rajamangala University of Technology Lanna Chiang Rai, Chiang Rai,
Thailand
Title: Metal Oxide Surge Arresters Modelling in Temporary Overvoltage Conditions
Authors: Wichet Thipprasert and Ekkachai Chaidee
Abstract: Insulation and protection system as part of the system of high voltage has
been improved stability and reliability of distribution system is designed correctly
and uses proper equipment. Surge Arrester (SA) is used for protection of lightning
and switching surge in distribution system of Provincial Electricity Authority: PEA.
This paper to design modelling of Metal Oxide Surge Arresters (MOSA) in 22 kV
Distribution System by ATP-EMTP program and compares the experimental testing
of surge arrester product A. the comparison of test results indicate that leakage
currents error less than 4.4 percentage. The proposed model is used for leakage
currents of distribution system analysis. Moreover, it will be useful to select or
design suitable SAs for using in places with salt conditions, high rainfall, high wind
speeds and high humidity.
Presenter: Suthida Ruayariyasub
From: Electricity Authority and King Mongkut’s University of Technology North
Bangkok, Thailand
Title: Monte Carlo Simulation of Electric Vehicle Load Patterns for Energy Losses
and Voltage Profile Studies
Authors: Suthida Ruayariyasub, Somporn Sirisumrannukul, Suksan Wangsatitwong
TE2015-320
15:20-15:30
Abstract: This paper aims to propose a stochastic load model that helps assessing
the impacts of electric vehicles (EVs) battery charging on electrical distribution
system. The model is based on a Monte Carlo method that considers the use of
discrete random variables to construct arbitrary probability distributions instead of
the traditional Normal distribution, in order to generate more realistic results. The
assessment approach by the model focuses on future situation that anticipates
widespread use of EVs on roads, hence resulting in a significant demand for EVs
battery charging. The analysis includes residential charging utilizing normal charge
mode, and an addition of public charging station utilizing quick charge mode aiming
to cover the service for both EVs owned by local residence and EVs traveling from
other areas. The proposed model is demonstrated through assessing a case study of
the Pattaya City’s 22 kV distribution system that operated by Provincial Electricity
Authority (PEA). Resultant load requirements and voltage profiles are compared
and discussed. Results of the study show a potential for the approach to provide
preliminary assessment on the capability of local distribution system to support
electrical load requirement with an inclusion of EVs charging.
TE2015-312
Presenter: Long Chao
15:30-15:40
From: Technical Department, 28th Research, Nanjing, China
Title: Signal Recognition and Parameter Estimation of BPSK-LFM Combined
Modulation
Authors: Long Chao, Zhang Lin, Liu Yu
15
Abstract: Intra-pulse analysis plays an important role in electronic warfare.
Intra-pulse feature abstraction focuses on primary parameters such as instantaneous
frequency, modulation, and symbol rate. In this paper, automatic modulation
recognition and feature extraction for combined BPSK-LFM modulation signals
based on decision theoretic approach is studied. The simulation results show good
recognition effect and high estimation precision, and the system is easy to be realized.
Presenter: Meng Hui
From: Chang’an University, China
Title: A New Algorithm for Power System Short-term Load Forecasting
TE2015-313
15:40-15:50
Authors: Meng Hui, Lin Bai, YanNing Zhang, MeiLing Huang
Abstract: Short-term load forcasting is an important routine work in power system.
This paper proposed a novel Volterra model for short-term load prediction. In the
first place whether the load time series has chaotic character is determined by chaos
theory. There is one more point that the load time series are reconstructed by phase
space reconstruction theory. The new load prediction algorithm based on Volterra
model which makes no truncation and contains more information of system. The
load data of a city in China are used to verify the effectiveness of the new algorithm.
Results indicate that the error between predict load and true load is less than 5%.
The prediction short-term load is accurate enough for electric power dispatching.
Coffee Break
15:50 p.m.- 16:00 p.m.
Presenter: Hanbyul Chae
From: The University of Suwon, Republic of Korea
TE2015-314
16:00-16:10
Title: Development of Faint Motion Recognition System Based on Improved
Objects Tracking Method from Thermal Camera Images
Authors: Hanbyul Chae, Juhyun Lee and Kicheon Hong
Abstract: This paper discusses an improved faint detection system. In the existing
faint detection systems, tracking often fails if the object being tracked suddenly
changes in its direction or shape. Authors propose a method to re-track the object for
which tracking has failed in order to improve the accuracy and persistency of
tracking performance. Therefore, It is possible to continuously track a certain senior
citizen who lives alone by combining the tracking algorithm of Kalman Filter and
16
Camshift and detecting algorithm of Blob Labeling for images input from a thermal
image camera. We propose a faint detection and response system based on the size
change of the tracked trajectory and the change time. It can be found that the
proposed system shows accurate faint detection through tracking.
Presenter: Dae Young Choi
From: Yuhan University,South Korea
Title: Attribute-Driven Approach for Handling Fuzzy Terms in Domain-Specific
Web Search Engines
Authors: Dae Young Choi
TE2015-315
16:10-16:20
Abstract: In contrast to general-purpose Web search engines, which attempt to
index large portions of the WWW using a web crawler, domain-specific Web search
engines typically use a focused crawler that attempts to index only Web pages that
are relevant to a pre-defined topic or set of topics. Domain-specific Web search
engines are becoming increasingly popular because they offer increased accuracy
and extra features not possible with general-purpose. However, commercial
domain-specific Web search engines still keyword-based and thus generally return
too many search results or irrelevant to user’s search intentions. It is mainly derived
from the inappropriateness on reflecting user’s search intentions. To make
personalized search results by reflecting user’s search intentions appropriately, we
propose attribute-driven approach for handling fuzzy terms in domain-specific Web
search engines.
Presenter: Liang Huang
From: National University of Defense Technology, China
Title: IR Radiative Properties Modeling and Feature Extraction Method on Ballistic
Target
Authors: Liang Huang, Xin Li, Junliang Liu
TE2015-316
16:20-16:30
Abstract: Due to physical structures and motion attitudes ， the IR radiative
properties of ballistic targets are different during their flights. However, such
differences cannot be easily detected by high-speed observing platform under the
influence of detector noise, consequently causing difficulties with the classification
and recognition of targets. This paper presents a modeling and simulation of the IR
radiative properties of ballistic targets, provides a discussion on the variations in the
IR radiative properties among different targets, and proposes a method for a
parametric expression of the grayscale time series of the targets under noise. The
experimental result indicates that by constructing a hybrid model of tendency,
period and noise, an effective feature of the time series can be extracted using
de-noising, curve-fitting, and frequency transformation, which ultimately
contributes to the classification of targets.
TE2015-306
16:30-16:40
Presenter: Zhengyao Bai
17
From: Yunnan University, China
Title: Detecting of Copy-Move Forgery in Digital Images Using Fractional Fourier
Transform
Authors: Renqing Yang, Zhengyao Bai, Liguo Yin, Hao Gao
Abstract: Copy-move forgery is one of the most simple and commonly used
forging methods, where a part of image itself is copied and pasted on another part of
the same image. This paper presents a new approach to copy-move forgery detection
where fractional Fourier transform (FRFT) is used. First, the 1-level discrete
wavelet transform (DWT) of the forged image is to reduce its dimension. Next, the
low frequency the sub-band is divided into overlapped blocks of equal size. The
fractional Fourier transform of each block is calculated and the vector of the
coefficients is constructed. All feature vectors are sorted using lexicographical order.
Finally, the difference of adjacent feature vectors is evaluated and employed to
locate the duplicated regions which have the same feature vectors. Experimental
results show that the proposed method is effective in detection of the copy-move
forgery regions.
Presenter: Ryo Kido
From: Ritsumeikan University, Japan
Title: Cellular Thermal Measurement by Dielectrophoresis and the Impedance
Changing Between Electrodes
TE2015-321
16:40-16:50
Authors: Ryo Kido and Kozo Taguchi
Abstract: Measuring the cellular thermal measurement is demanded in the area of
biology and medicine because cellular functions are concerned with intracellular
temperature. Also, dielectrophoresis impedance measurement method has recently
attracted attention because the method is simple and immediately. In prior studies, it
has been considered to change the impedance between electrodes due to the
short-circuiting by pearl chain between electrodes. In this paper, we inspect
impedance measurement by thermal changes under various situations and
demonstrated that the impedance changes by heating even without short-circuiting
by pearl chain.
Presenter: Nur Erliza Lydia Mohamad Safri
From: Ritsumeikan University, Japan
TE2015-322
16:50-17:00
Title: Electrophoresis Temperature Effect on the TiO2 Thickness of Dye-sensitized
Solar Cell
Authors: N. E. Lydia M. SAFRI, Kanta SUGII, Kozo TAGUCHI
Abstract: Dye-sensitized solar cell is one of the newest ways to exploit the solar
energy to convert it into electricity. It is composed of a few structures to function such
as the electrodes, conducting layer, dye and electrolyte. Titanium dioxide is one of the
most used substances to make conducting layer in dye-sensitized solar cell. There are
many methods employed to create titanium dioxide coating such as spin-coating and
electrophoresis. In this paper, we investigate the effect of electrophoresis temperature
18
on the formation of the thickness of titanium dioxide layer thus linking the
temperature effect to the solar cell energy conversion rate. The result is higher
temperature resulted in more even titanium dioxide layer, with the solution boiling
point as the temperature limit. From the experiments that we have conducted, it can
be said that electrophoresis temperature affect the stability of titanium dioxide thin
film thickness.
Best Presentation Award and Group Photo of Session II
Session III- Power and Mechanical Engineering
Venue: Diamond Room II, 5th floor
Time: 14:30 p.m.-15:50 p.m.
Session Chair: Prof. Chin-Chen Chang
Presenter: Yaming Ren
From: Southeast University, China
ICMAI2015-101
14:30-14:41
Title: Prediction-Correction Alternating Direction Method for Power Systems
Economic Dispatch
Authors: Yaming Ren, Shumin Fei, Haikun Wei
Abstract: The alternating direction method is a powerful tool for solving multi-area
economic dispatch problem. However, plenty of applications show that the choice
of step size and penalty parameter has an important influence on algorithm’s
convergence rate. In this paper, we proposed a novel prediction-correction
algorithm. To be more exact, the prediction is generated by original alternating
direction method, while the correction is implemented via adjusting step size and
penalty parameter. Numerical results illustrate the proposed method is robust.
ICMAI2015-102E
14:41-14:52
Presenter: Dong Cai
From: Tsinghua University, China
Title: The Influence of the Engine Oil Layer Thickness on Hollow Axles Ultrasonic
Inspection
19
Authors: Dong Cai, Cheng Zou, Zhenguo Sun, Qingxiang Zhou, Ye Fu, Guangkai
Li
Abstract: High-speed trains generally use hollow axles to decrease the unsprung
mass. With the increased speed of high-speed trains, the importance of the hollow
axles ultrasonic inspection is increasingly important in ensuring safe high-speed
train operation and maintenance. In practice, the thickness of coupling layer (engine
oil layer) between the hollow axle inner wall and the probe wedge varies due to
various factors, which makes it necessary to study the impact of oil thickness
variation on the hollow axles ultrasonic inspection. This paper introduces the
established simulation models of ultrasonic flaw detection in hollow axles
according to probes with different angle by the use of COMSOL Multiphysics and
concludes the change characteristic of flaw echo amplitude under different engine
oil layer thickness. The experimental system was designed to validate the
simulation results.
Presenter: Cheng Zou
Title: Simulation Study on the Serrated Columnar Acoustic Phased Array
Transducers
Authors: Cheng Zou, Dong Cai, Zhenguo Sun, Wenzeng Zhang
ICMAI2015-104E
14:52-15:03
Abstract: Surface crack inspection is essential to rotate mechanical components,
such as the high-speed railway axles, gears, turbine rotors and etc. In this paper, a
new kind of acoustic phased array transducers for the inspection of the components,
which has a through-hole along the central axis, is proposed. The transducers are
evenly distributed on the outer surface of a column, and each transducer is rotated
an angle round the axis. This array is named as a serrated columnar array, which
can be used to inspect the cracks on the outside surface of the axle, as long as the
inner flaw. Due to the existence of the rotated angle with respect to the inner surface
of the hollow hole, the transducers can electrically generate scanning waves
rotating around the axis. The transient finite element model is employed to verify
such as a design. The simulation results demonstrate that such array is able to focus
on the expected location and the crack echo signal is strong enough to be used to
identify the existence of the cracks.
Presenter: Ammar RAMDANI
From: Development Centre of Advanced Technologies, Algeria
ICMAI2015-105E
15:03-15:14
Title: Advanced Control Algorithm: Applications to Industrial Processes
Authors: A. Ramdani, S. Grouni, and M. Traïche
Abstract: As in the most industrial systems, a control of the input of the systems
including a classic regulator is a key point. The Proportional-Integral-Derivative
controllers are commonly used in many industrial control systems and appeared
suitable to stable the control of the majority of real processes. But in some cases
like a non-minimum-phase plant or a plant with a dead-time proceed to a thin
regulating of coefficients until to get a system respecting the conditions specified. It
20
is possible also to present a problem of overtaking with the increase of the gain or
seems impotent for systems having a big delay and the use of sophisticated process
controllers is required. Model predictive control is an important branch of automatic
control theory, it refers to a class of control algorithms in which a process model is
used to predict and optimize the process performance. MPC has been widely
applied in industry. Dynamic Matrix Control Algorithm belongs to the family of
Model predictive control Algorithms where these algorithms only differ between
themselves in the model that represents the process, disruptions and the function of
cost. In this paper the study of the Dynamic Matrix Control Algorithm are interested
while applying him on processes of water heating and mechanical rotations of
steering mirrors in a Light Detection and Ranging system as a second application.
The objective of this work consists of solving the problem of prediction of the
output and input of the process by fixing a horizon finished N, and while
considering the present state like initial state, to optimize a cost function on this
interval, while respecting constraints. Therefore, the future reference is known and
the system behavior must be predictable by an appropriate model. It results an
optimal sequence of N control of it among which alone the first value will be
applied effectively. As the time advances, the horizon of prediction slips and a new
problem of optimization is to solve while considering the state of the system
updating. In summary, every moment, it is necessary to elaborate an optimal control
sequence in open loop, refined systematically by the present measure arrival.
Presenter: Keita Osari
From: National Institute of Technology, Ibaraki College, Japan
Title: Grand Canonical Monte Carlo Study of Sphere-to-sheet Transition on
Dynamically Triangulated Surfaces
ICBCB2015-1-008E
15:14-15:25
ICBCB2015-1-009E
15:25-15:36
Authors: Keita Osari, and Hiroshi Koibuchi
Abstract: We study a sphere-to-sheet transition of a surface model using the grand
canonical Monte Carlo simulation technique on dynamically triangulated lattices.
This transition is closely connected to a pore formation of liposome. The model is
defined on a triangulated sphere with a pore, which is topologically identical to a
disk. The perimeter length of the pore is allowed to vary, and consequently we have
two different phases at high bending region; one is the spherical phase and the other
is the planar phase. We find that these two phases are separated by a first-order
transition. Although the surface is allowed to self-intersect, the transition is not
influenced by the surface self-intersection, because the surface is sufficiently
smooth and self-avoiding at the transition point.
Presenter: Satoshi USUI
From: National Institute of Technology, Ibaraki College, Japan
Title: Phase Transition of Membranes: Parallel Tempering Monte Carlo Simulations
Authors: Satoshi USUI, Hiroshi KOIBUCHI
Abstract: In this study, we simulate the membrane model using the Parallel
Tempering Monte Carlo (PTMC) technique. The parallel programming is
21
implemented in PTMC by OpenMP. We find that the results of the PTMC technique
are in good agreement with those of conventional MC techniques such as the
Metropolis MC (MMC) and Flat histogram MC techniques. This implies that the
PTMC technique can successfully simulate the first order phase transitions, because
the membrane model is known to undergo a first order transition. We also find that
the speed of the PTMC technique is three times faster than the speed of the MMC
technique on 6 cores CPU. This implies that the PTMC simulation is very effective
for the membrane models on multi-core CPUs.
Presenter: Dong Cai
Title: The Difference Among the Ultrasonic Inspection Results from Different
Segments of the Hollow Axle Tested by Different Probes
ICMAI2015-103E
15:36-15:47
Authors: Qingxiang Zhou, Ye Fu, Guangkai Li, Dong Cai, Cheng Zou, Zhenguo
Sun
Abstract: Hollow axle is one of the indispensable components of high-speed trains.
Due to its importance, hollow axles ultrasonic inspection becomes one of the
important conditions to ensure the safe operation of high-speed trains. The hollow
axle can be divided into different sections in accordance with the shape and size of
different axle segments including the transition arc segments. The difference of the
sound path and the size of transition arc at different axle segments lead to different
inspection results when tested by one probe, and the flaw detection sensitivity is
different for one segment tested by different probes. This paper establishes the
simulation models by means of COMSOL Multiphysics to study and compare the
different flaw echo amplitude from axle segment tested by probes with different
angle and direction, which can provide certain guidance for the selection of probes
and gate settings during practical ultrasonic inspection.
Best Presentation Award and Group Photo of Session III
Coffee Break
15:50 p.m.- 16:00 p.m.
22
Session IV- Computational Biology, Measurement and Materials Engineering
Venue: Diamond Room II, 5th floor
Time: 16:00 p.m.-17:00 p.m.
Session Chair: Dr. Zhenguo Sun
Presenter: Wing Hon Woo
From: Universiti Sains Malaysia, Malaysia
Title: MoiréFringe Center Determination Using Artificial Neural Network
Authors: W.H. Woo and K.S. Yen
ICMAI2015-301E
16:00-16:10
Abstract: Moirémethods are commonly used in various engineering metrological
practices such as deformation measurements and surface topography. In the past,
most of the applications required human intervention in fringe pattern analysis and
image processing development to analyze the moirépatterns. In a recent application
of using circular gratings moiré pattern, researchers developed graphical analysis
method to determine the in-plane (2-D) displacement change between the two
circular gratings by analyzing the moirépattern change. In this work, an artificial
neural network approach was proposed to detect and locate moiréfringe centers of
circular gratings without image preprocessing and curve fitting. The intensity values
in columns of the transformed circular moirépattern were extracted as the input to
the neural network. Moiréfringe centers extracted using graphical analysis method
were used as the target for the neural network training. The neural network
produced reasonably accurate output with an average mean error of an average
mean error of less than 1 unit pixel with standard deviation of less than 4 unit pixels
in determining the location of the moiréfringe centers. The result showed that the
neural network approach is applicable in moiréfringe centers determination and its
feasibility in automating moirépattern analysis with further improvement.
Presenter: Hyeon Min Lee
From: Korea University, Korea
Title: Algorithm of 3D Spatial Coordinates Measurement Using a Camera Image
ICMAI2015-302E
16:10-16:20
Authors: Hyeon Min Lee and Woo Chun Choi
Abstract: In many researches for image processing technology, 3D coordinates
measurement can be done by using laser range finders or stereo vision sensors.
However, it has a disadvantage of high cost and large and heavy sensors. This study
proposes an algorithm of transformation of 2D positions in a camera image to 3D
spatial coordinate values. The coordinates of 3 points have to be measured in
advance, in order to obtain the coordinate values of unknown points. The proposed
algorithm was verified through experiment. This algorithm can be used in modern
industry measurement systems and development of weapon systems.
23
Presenter: Suna Cetin
From: KIRIKKALE UNIVERSITY, Turkey
Title: A New Regression Based Model for Estimation of the Process Parameters
Affect for Texturing of Polyethylene Terephthalate (PET) Yarn
Authors: Kenan Yildirim, Suna Cetin, and Yusuf Ulcay
ICMAI2015-303E
16:20-16:30
Abstract: This study comprises investigations of the effect of false-twist texturing
process parameters onto the properties of PET (polyethylene terephthalate) yarn and
performing prediction equations based on a non-linear regression mathematical
model. The effect of texturing parameters on the properties of PET filaments was
characterized through measurements of boiling water shrinkage, shrinkage force,
crimp stability and crimp contraction. The properties of the textured yarn can be
altered by changing of mainly three parameters which are D/Yratio, draw ratio and
first heater temperature. Yarn samples were produced in three different levels of
each of selected parameters and tested. In order to obtain empirical formulas for
predicting the change of textured PET yarn properties with respect to selected
production parameters, the yarns were produced in 27 different combinations. The
starting point of the empirical equation is based on a completely randomized
variance analyses model. The coefficients of the curves fitted were computed by
means of non-linear regression analysis. R2 values for these curves were observed
to be highly reliable being about 0.85.
Presenter: Changyeop Lee
From: Korea Institute of Industrial Technology, Korea
Title: Study on O2 Concentration and Temperature Measurement with 760nm Diode
Laser in Ununiform Distributed Condition
ICMAI2015-304E
16:30-16:40
Authors: Miyeon Yoo, Sewon Kim and Changyeop Lee
Abstract: It is important to measure the internal temperature or temperature
distribution precisely in combustion system to increase energy efficiency and
reduce the pollutants. Especially in case of large combustion systems such as power
plant boiler and reheating furnace of steel making process, it is very difficult to
measure those physical properties in detail. Measurement and analysis by tunable
diode laser absorption spectroscopy can be attractive method to overcome the
difficulty. In this paper, TDLAS methods are used to measure the oxygen
concentration and temperature distribution in various experimental conditions.
Especially, this paper suggest a possible approach to measuring an ununiform
distributed condition.
Presenter: Li Yanjie
From: Northwestern Polytechnical University, China
ICBCB2015-1-004E
16:40-16:50
Title: CHclust: a novel alignment-free sequence clustering method based on
Composition Vector and Hidden Markov Model
Authors: Yanjie Li, Xuequn Shang, Ruzun Hu
Abstract: Alignment-free sequence comparison gives an efficient way to analyze
24
rapidly accumulating sequence data. One important task involving sequence
comparison is sequence clustering, which can be used to arrange large-scale
sequences into homologous and functionally similar groups. Next-generation
sequencing (NGS) technology has brought large amount of sequence data,
alignment-based approaches are limited and time-consuming. The composition
vector method (CV) is one of the most widely used alignment-free approaches for
sequence comparison recently. Here we improve the alignment-free incremental
clustering method based on fusion of HMMs and composition vector (CV). Using
HMMs as a prefilter which calculates the pairwise sequence similarity simplifies the
process of sequence comparison. Meanwhile, to further improve the sensitivity,
based on the statistical analysis of k-mers and the HMMs built for each cluster, we
apply optimized composition vector method (CV) to detect the analogous
sequences. Study of its performance on reduction of large protein sequence
databases and short reads preprocessing for gene assembly shows good speed and
sensitivity.
Presenter: Boris Jankovic
From: King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
Title: A Simple Decision Rule for Recognition of Poly(A) Tail Signal Motifs in
Human Genome
Authors: Hassan Aboueisha, Igor Chikalov, Boris Jankovic, Mikhail Moshkov,
ICBCB2015-1-011E
16:50-17:00
Abstract: Background. Numerous attempts were made to predict motifs in genomic
sequences that correspond to poly(A) tail signals. Vast portion of this effort has
been directed to a plethora of nonlinear classification methods. Even when such
approaches yield good discriminant results, identifying dominant features of
regulatory mechanisms nevertheless remains a challenge. In this work, we look at
decision rules that may help identifying such features.
Findings. We present a simple decision rule for classification of candidate poly(A)
tail signal motifs in human genomic sequence obtained by evaluating features
during the construction of gradient boosted trees. We found that values of a single
feature based on the frequency of adenine in the genomic sequence surrounding
candidate signal and the number of consecutive adenine molecules in a well-defined
region immediately following the motif displays good discriminative potential in
classification of poly(A) tail motifs for samples covered by the rule.
Conclusions. The resulting simple rule can be used as an efficient filter in
construction of more complex poly(A) tail motifs classification algorithms.
Best Presentation Award and Group Photo of Session IV
25
Dinner Banquet
18:30 p.m.-20:00 p.m.
City Caféof City View Hotel, 1st floor
Poster Session (22 Papers)
Time: 9:00 a.m.-17:00 p.m. , March 13, 2015
Title: The Investigation of Equivalent Harmonic Impedances of VSC-based HVDC
Systems
Authors: Phuchuy Nguyen, Minxiao Han
TE2015-102
Abstract: In a PWM-based low level voltage source converter (VSC), the harmonic
level is significant that filters should be required on the both sides of the converter.
The converter will have harmonic impedances as seen from the both sides, and it
matters to assess these impedances to calculate their impact on filters and the
network also. In this paper, the equivalent harmonic impedances on both ac- and
dc-sides of VSC are calculated based on the ac/dc harmonic interaction with any
switching components. The effect of cross-interaction between switching
components on the harmonic impedance is also investigated. Moreover, the
resonance analysis is performed on the both ac-side and dc-side of a VSC-based
HVDC system. Although the VSC dc-side harmonic impedance is very large, the
resonances may occur due to the exist of dc capacitors and dc cables. On the
ac-side, the resonances may occur at the output terminal of the converter and
interact with the dc-side circuit, causing harmonic amplification.
Title: Mutual Coupling Compensation of Array Antenna Pattern
Authors: Jiaren Rao, Qi Wang, Xin Xu
TE2015-103
Abstract: In order to analyze the impedance characteristics intuitively, the array
antenna is equivalent to a port network. Based on this model, the relation between
mutual coupling and mutual impedance is obtained, and a way to modify pattern
considering mutual coupling is introduced. In addition, multi-population genetic
algorithm is applied to compensate pattern considering mutual coupling, so that the
mutual coupling effect of antenna array can be eliminated. Finally, all these
theoretic research results are proved by simulation.
Title: Motion Representation Based On Important Turning Points Set and Its
Application in Dance Training
TE2015-203
Authors: Yu Wei
Abstract: Motion recognition is quite important in assistance of dance training, as it
provides further analysis with basic information of the motion behavior. Since the
26
training data of each motion might be few in number, feature extraction becomes
quite important. Thus, before the classification process, we need to analyze the data
of each possible motion carefully and extract the key features to create the
classification model. By examining the key factors of the detected data, we are able
to classify the movement into its belonging motion. Therefore, in this paper, we
propose an algorithm based on important turning points set which extracts features
of the possible motions from the time series that recorded by wearable sensors
during practice. With the help of this method, we are able to match and recognize
the basic skill motions in different pace.
Title: A Clustering Algorithm to Estimate the Message RNA Expression Level
Authors: Yingfu Xiong, Chao Tong
TE2015-206
Abstract: Nowadays, the gene expression level is of great importance in the
explanation of the correlation between the organism’s character and its gene. In this
paper, we first modified the RPKM to compare the mRNA expression level from
different samples on the same gene. And then, we bring forward a clustering
algorithm to help us estimate the mRNA expression level precisely. This algorithm
is based on minimum cluster editing between the interval graph and several disjoint
cliques. At last, the performance of our algorithm has been estimated by extended
modularity which is suitable to overlapping community structure.
Title: A 0-1 Cuckoo Search Algorithm for Solving Pre-Processed Non-Unicost Set
Covering Problems
Authors: Ricardo Soto, Broderick Crawford, Jorge Barraza, Franklin Johnson and
Fernando Paredes
TE2015-207
Abstract: The non-unicost set covering problem is a classical optimization
benchmark that belongs to the Karp's 21 NP-complete problems. In this paper, we
present a new approach based on cuckoo search for solving such problem. Cuckoo
search is a modern nature-inspired metaheuristic that has attracted much attention
due to its rapid convergence and easy implementation. We illustrate interesting
experimental results where the proposed cuckoo search algorithm reaches several
global optimums for the non-unicost instances from the OR-Library.
Title: Solving SCPs using XOR-based Bee Optimization
Authors: Ricardo Soto, Broderick Crawford, Sebastián Lizama, Franklin Johnson
and Fernando Paredes
TE2015-208
Abstract: The set covering problem is a classical problem in the subject of
combinatorial optimization that consists in finding a set of solutions that cover a
range of needs at the lowest possible cost. In this paper, we present an artificial bee
colony algorithm to which we integrate a XOR operator to binarize the solution
construction for set covering problems. We report interesting and competitive
experimental results on a set of 25 benchmarks from the OR-Library.
Title: Solving Set Covering with Fruit-fly Algorithms
Authors: Cristian Peña, Marco Riquelme-Leiva, Franklin Johnson and Fernando
Paredes
TE2015-216
Abstract: In this research, binary fruit-fly optimization algorithms (bFOA) were
used to solve set covering problems from OR-Library; the set covering problem
(SCP) is a well-known NP-hard problem with many practical applications. The
bFOA is based by the knowledge from the foraging behaviour of fruit-flies in
finding food and was divided in 4 phases: initialization, smell based search, local
vision based search and global vision based search. This algorithm used a 0-1 vector
to represent a solution, and a probability vector to improve the exploration. The
27
tests were performed with eight different transfer functions and an elitist selection
method. The test results show the effectiveness of the algorithm proposed.
Title: Shuffled Frog Leaping Algorithms can solve the Set Covering Problem
Authors: Broderick Crawford, Ricardo Soto, Cristian Peña, Claudio Torres-Rojas,
Marco Riquelme-Leiva, Franklin Johnson and Fernando Paredes
TE2015-217
Abstract: This work, proposes a shuffled frog leaping algorithm (SFLA) to solve
set covering problems, includes eight transfer function and one discretization
methods. Different instances have been tested to prove the transfer function. The
results show that it is very effective in the 65 instances. The different instances
resolved show that SFLA can be an efficient alternative for solving the set covering
problems.
Title: New Binary Firefly Algorithms for solving Set Covering Problems
Authors: Broderick Crawford, Ricardo Soto, Marco Riquelme-Leiva, Claudio
Torres-Rojas, Cristian Peña, Franklin Johnson and Fernando Paredes
TE2015-218
Abstract: In this paper, we propose a set of Modified Binary Firefly Algorithms
(MBFF) to solve different instances of the Set Covering Problem (SCP). The Set
Covering Problem is a NP-hard problem and have many practical applications. In
this work we considering eight Transfer Functions and five Discretization Methods.
The Set Covering Problem have many practical applications. The different results
presented show that our algorithms are a good and cheap alternative to solve the
SCP.
Title: A Binary TLBO Algorithm and its Application to the Set-Covering Problem
Authors: Broderick Crawford, Ricardo Soto, Felipe Aballay, Franklin Johnson and
Fernando Paredes
TE2015-220
Abstract: The Set Covering Problem (SCP) is a representation of a kind of
combinatorial optimization problem which has been applied in several problems in
the real world. In this work is used the binary version of Teaching-Learning-Based
Optimization algorithm (TLBO), which works with two phases known as teacher
and learner phases in this way emulates the behaviour into a classroom, besides this
problem is solved with eight different transfer functions and five discretization
methods all of them altogether to solve The Set Covering Problem from the
OR-Library.
Title: Solving the Set Covering Problem with Cats
Authors: Broderick Crawford, Ricardo Soto, Natalia Berríos, Franklin Johnson and
Fernando Paredes
TE2015-221
Abstract: Binary Cat Swarm Optimization is a binary version of Cat Swarm
Optimization generated by observing cat's behaviour. Cats have two modes of
behavior: seeking mode and tracing mode. In this work we solve the Set Covering
Problem. The Set Covering Problem is a class of representative combinatorial
optimization problems. It consists in finding a subset of columns in a zero–one
matrix such that they cover all the rows of the matrix at a minimum cost. The
proposed algorithm has been tested on 65 benchmark instances. The results show
that it has the ability to produce solutions competitively.
Title: A Binary Bat Algorithm to solve the Set Covering Problem
TE2015-222
Authors: Broderick Crawford, Ricardo Soto, Claudia Olea, Franklin Johnson and
Fernando Paredes
Abstract: In this paper, a Binary Bat Optimization Algorithm to solve the Set
28
Covering Problem is presented. The Bat Algorithm is a recent metaheuristic
inspired in the echo-localization used by bats to find food and avoid obstacles, we
apply the binary version of Bat. Two transfer functions and two discretization
techniques are used in the binary version solving OR-Library instances of the
problem.
Title: Research on Pulse Power Spectrum Calculation Method Based on TCM
Authors: Xinsheng Che, Xinqiao Xu, Juan Sun and Hui Xu
TE2015-302
Abstract: A new method of calculating human pulse spectrum is introduced, which
is combined with the characteristics of Chinese medicine theory and human pulse.
The method comprises 3 parts, typical cycle selection, resampling and normalized
processing, and utilizing data captured from Cun, Guan and Chi position of radial
artery on both hands. The calculation result of smooth pulse and taut pulse were
analyzed based on Traditional Chinese Medicine (TCM) description, and compared
with the power spectrum calculated by traditional method in order to prove the
rationality. The conclusion of relationship between energy distribution and pulse
characteristics was reached.
Title: Experimental Research on the Reliability of An Underwater Seawater
Hydraulic Solenoid Valve
Authors: Wu Shan, Zhao Xufeng, Li Donglin, Li Xiaohui
TE2015-303
Abstract: As an important component of the variable ballast system (VBS), an key
subsystem of submersible, seawater hydraulic solenoid shut-off valve(SSV)
functions as a transport hub which controls the discharge and injecting of variable
ballast cabin. Through theoretical analysis, temperature rise was found to be a main
cause of the SSV’s failure. In order to improve the reliability of the SSV, two
experimental apparatus were built to test the characteristics of the solenoids and the
reliability of the SSV. Result shows variable voltage driving is an effective way of
reducing the failure, which can sharply restrain the temperature rise of the
solenoids. Moreover, an optimal action cycle was found in which the solenoid valve
has a longer continuous on-off time between failures (CTBF) and shorter response
time.
Title: Heuristic Feasibility for a 0-1 Firefly Optimization Algorithm for SCPs
Authors: Ricardo Soto, Broderick Crawford, José Vilches, Franklin Johnson and
Fernando Paredes
TE2015-309
Abstract: The set covering problem (SCP) is a classic benchmark that has been
widely used for solving several problems mainly within the service allocation
domain. In this paper, we present an improved firefly algorithm for the efficient
SCP resolution. The firefly algorithm is a recent metaheuristic based on the flashing
characteristics of fireflies that attract each other by using their brightness. We
improve this approach by incorporating an interesting heuristic feasibility operator
resulting in an efficient solver able to clearly outperform the previously reported
results obtained from firefly algorithms.
Title: Boosting Electromagnetism-like Algorithms when solving binary
combinatorial problems
TE2015-310
Authors: Ricardo Soto, Broderick Crawford, Alexis Muñoz, Franklin Johnson and
Fernando Paredes
Abstract: The Electromagnetism-like algorithm is a modern metaheuristic based on
the attraction and repulsion behaviour of electromagnetic particles. In this paper we
aim at improving the efficiency and result quality of this metaheuristic when
solving binary combinatorial problems. To this end, we incorporate a repairing
29
method in order to accelerate the resolution and a transfer function to improve the
quality of results. We illustrate experimental results where the incorporation of
these elements improves the results obtained, when solving different instances of a
well-known combinatorial benchmark called set covering problem.
Title: A Qualitative Analysis Algorithm and its Application in Mixed Gas
Identification
Authors: Chunsheng Kong, Wei Chen, Caihong Wei, Min Pan
TE2015-318
Abstract: We promote a qualitative analysis algorithm to intelligently identify the
ammonia, ethanol and their mixture. This work based on an electronic nose with a
set of specific gas senor array building in a temperature controlled mini-cavity. A
BP neural network has been trained for identification the samples inputs which
preprocessed by principal component analysis (PCA) or linear discriminant analysis
(LDA) method for dimension reduction. Results showed that ammonia, ethanol and
different proportions of their mixture can be identified accurately. And the LDA
performed better on dimension reduction in this case.
Title: Design of a Miniature CMOS APS Star Tracker
Authors: Wang Penghai, Quan Haiyang, Lan Lidong, Han Yifei, Wang Guanya
TE2015-324
Abstract: Star trackers are currently the most advanced attitude measuring
instruments. They have the advantages of high precision, small quality, no drift,
strong anti-interference and autonomous navigation without relying on other
navigation systems. This paper proposes the design of a low-quality, small-size and
high-accuracy star tracker that is constructed by a self-developed CMOS APS
(Complementary Metal Oxide Semiconductor Active Pixel Sensor) image sensor
and a microprocessor based on SPARC V8 architecture. Details of the hardware
structure and algorithm design are presented. Meanwhile, a control system is
developed jointly on Microsoft Visual Studio and Matlab which can be used to
configure parameters of the star tracker and display three-dimensionally attitude
information. By analyzing the performance of the star sensor, the accuracy of the
Euler angles can reach 2.25’’, 2.25’’ and 15.97’’, respectively. And their noise
equivalent angles are 2.22’’, 2.22’’ and 16.65’’. Finally, considering the influence
of the star tracker itself and the external environment noise, a median filter can be
used to suppress the noise and improve the accuracy of attitude determination.
Title: Design and Implementation of Dual-Mode Four Frequency Vector Receiver
Authors: Yin Xiaoyang, Li Wenjie
TE2015-333
Abstract: This paper studies the application of vector tracking algorithm in GPS
and BDS receiver with the high speed. Firstly, it proposes an architecture of GNSS
receiver with four frequency. Secondly, it expounds transfer and measurement
equation of vector tracking navigation filter. Then it briefly compares and analyzes
performance and positioning accuracy of four frequency vector GNSS receiver with
normal GPS receiver within a simulant scenarios of first cosmic velocity scenarios,
and results show that the vector tracking technology has obvious advantages and
applications for ground in this complex environment.
Title: Performance Analysis and Comparison between Two Forms of Double
EWMA Controllers in Industrial Process
ICMAI2015-202E
Authors: Qing-Song Gong, Gen-Ke Yang, Moon-Sang Lee, and Chang-Chun Pan
Abstract: The double EWMA (exponential-weighted-moving-average) controller,
as one kind of R2R (Run to Run) controller has been widely used in the industrial
process, especially in semiconductor manufacturing. In this paper, two forms of the
most popular double EWMA controller are analysed and compared in terms of the
30
stability conditions and long-run performance. We point out their own advantages
and disadvantages in use and present each own applicable situations. Finally, a
specific chemical mechanical polishing (CMP) process will be used as an example
to illustrate the validity of our results.
Title: Bioinformatics Analysis of hxuC gene and HxuC Protein of Haemophilus
Parasuis
Authors: Xuefeng Yan, Lvqin He, Sanjie Cao, Xintian Wen, Yiping Wen
ICBCB2015-1-002E
Abstract: The hxuC gene is a member of hxu heme uptake system in Haemophilus
parasuis. By bioinformatics analysis, we found that hxuC gene, an AU-rich
sequence, had a high codon usage bias. HxuC was a TonB-dependent
heme/hemoglobin receptor family protein, which had a typical TonB-dependent
receptor protein signature 2 site. The secondary structure of the protein contained
49.53% coil, 46.19% beta strand and 4.38% alpha helix. The 3D structure model of
HxuC protein was constructed based on the crystal structure of Shigella Dysenteriae
ShuA protein. Besides, the protein had strong antigenicity, with 31 putative
cytotoxic T-lymphocyte (CTL) epitopes and multiple antigenic determinants. HxuC
protein among 7 HPS strains shared a high homology, but a low homology
compared with those of the same genus and family. These bioinformatics data
provided a theoretical basis for the research of HPS hxuC gene on its
immunogenicity and function.
Title: Protein Structure Alignment Based On Variable-Length Aligned Fragment
Pairs
Authors: Hu Cao, Yonggang Lu
ICBCB2015-1-010E
Abstract: Protein structure alignment is a critical problem for more than 20 years in
computational structure biology. With the increasingly rapid development of new
technologies in biology, more and more new protein structures are discovered.
Therefore, developing of efficient methods to compare protein structures becomes
very important. In this work, we propose a new structure alignment method called
protein structure alignment based on VAriable-Length Aligned Fragment Pairs
(VALAFP) to compare protein structures. While CE and most of the other methods
use fixed-length Aligned Fragment Pairs (AFP), our method is based on
variable-length AFP, which can better represent the local similarities of two
different proteins. The AFPs can then be chained together to form different global
protein structure alignments of which the best one is selected by dynamic
programming. The experimental results show that using the proposed VALAFP
method can improve the efficiency of the structure alignment compared to CE,
while producing competitive results compared to CE, DALI and ProSup.
31
Call for Papers
www.acmme.org
All accepted and registered papers will be published in international journal "Applied Mechanics and Materials" [ISSN:
1660-9336, Trans Tech Publications] "Applied Mechanics and Materials" volumes are submitted for indexing to Elsevier:
SCOPUS and Ei Compendex (CPX). Cambridge Scientific Abstracts (CSA), Chemical Abstracts (CA), Google and Google
Scholar, ISI (ISTP, CPCI, Web of Science), Institution of Electrical Engineers (IEE), etc. (For index information, please
refer to AMM official website: http://www.ttp.net/1660-9336.html).The full text is online available via platform
www.scientific.net. Trans Tech Publications will provide online camera-ready paper submission system.
Submission Methods: (Deadline: April 15, 2015)
1. Easy Chair System (pdf)
2. Email: sub@acmme.org
www.icmeae.net
All accepted and registered papers will be published in international journal “Applied Mechanics and Materials”
[ISSN:1660-9336, Trans Tech Publications] “Applied Mechanics and Materials” volumes are submitted for indexing to
Elsevier: SCOPUS and Ei Compendex (CPX). Cambridge Scientific Abstracts (CSA), Chemical Abstracts (CA), Google
and Google Scholar, ISI (ISTP, CPCI, Web of Science), Institution of Electrical Engineers (IEE), etc. (For index information,
please refer to AMM official website: http://www.ttp.net/1660-9336.html). The full text is online available via platform
Submission Methods: (Deadline: May 10, 2015)
2. Email: icmeae@saise.org
www.cpese.net
All accepted and registered papers will be published in international journal “Applied Mechanics and Materials”
[ISSN:1660-9336, Trans Tech Publications] “Applied Mechanics and Materials” volumes are submitted for indexing to
Elsevier: SCOPUS and Ei Compendex (CPX). Cambridge Scientific Abstracts (CSA), Chemical Abstracts (CA), Google
and Google Scholar, ISI (ISTP, CPCI, Web of Science), Institution of Electrical Engineers (IEE), etc. (For index information,
please refer to AMM official website: http://www.ttp.net/1660-9336.html). The full text is online available via platform
Submission Methods: (Deadline: June 30, 2015)
2. Email: cpese@saise.org
32

- ceeit 2015

Transcription

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