1. No category

2015 International Conference on Control, Automation and Robotics
(ICCAR 2015)
2015 The 7th International Conference on Future Computer and
Communication (ICFCC 2015)
2015 The 2nd International Conference on Industrial Engineering and
Applications (ICIEA 2015)
*ICCAR 2015 conference papers will be published in conference proceeding, which will
not be available on conference site, and will be delivered to authors’ address after
conference.
*ICIEA 2015 conference papers are selected to be published in several journals, due to
the publication schedule, only a few papers will be published before the conference,
most paper are scheduled to be published after the conference, we wil post your journal
to your address when it published.
*ICFCC 2015 conference papers are selected to be published in several journals,
according to the publication schedule, which will not be available on conference site, and
will be delivered to authors’ address after conference.
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We are pleased to welcome you to the 2015 SCIEI Singapore conferecnes, which will
takes place at Nanyang Technological University from May 20-22, 2015.
After several rounds review procedure, the program committee accepted those papers to
be published in Journals and conference proceedings. We wish to express our sincere
appreciation to all the individulas who have contribute to ICCAR 2015, ICIEA 2015 and
ICFCC 2015 conference in various ways. Special thanks are extended to our colleagues in
program committee for their thorough review of all the submissions, which is vital to the
success of the conference, and also to the members in the organizing committee and the
volunteers who had delicated their time and efforts in planning, promoting, organizing
and helping the conference. Last but not least, our speacial thanks goes to invited
keynote speakers as well as all the authors for contributing their latest research to the
conference.
This conference program is highlighed by three keynote speakers: Prof. Maode Ma, from
Nanyang Technological University, Singapore; Prof. Yang Xiao, from The University of
Alabama, Tuscaloosa, USA and Dr. Girija Chetty, from University of Canberra, Canberra,
Australia.
One best presentation will be selected from each session, evaluated from: Originality;
Applicability; Technical Merit; PPT; English. The best one will be announced at the end of
each Session, and awarded the certificate after each session. The winners’ photos will be
updated on SCIEI official website: www.sciei.org.
Singapore, officially the Republic of Singapore, is an island country with beautiful
landscape and multi-cutural lifes. We hope that your stay in Singapore will be enriching
and memorable! The technical program will send you back home motivated, enthusiastic,
and full of innovative ideas.
We wish you a success conference and enjoyable visit in Singapore.
Alice Wu
Science and Engineering Institute
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International Advisory Committee
Prof. Alexander Rotshtein, Dept. of Industrial Engineering & Management, Jerusalem
College of Technology, Jerusalem, Israel
Conference Chair
Prof. Yang Xiao, The University of Alabama, Tuscaloosa, USA
Prof. Girija.Chetty, University of Canberra, Australia
Prof. Maode Ma, Nanyang Technological University, Singapore
Program Chair
Prof.Soumaya Yacout, Department of Mathematics and Industrial Engineering, École
Polytechnique de Montréal, Canada. (Workshop Chair of ICIEA)
Prof. Thumrongrat Amornraksa, King Mongkut’s University of Technology Thonburi,
Thailand
Assoc. Prof.S. H. Choi, University of Hong Kong
Associate Professor Fernando Moreira da Silva/Faculty o fArchitecture of the Technical
University of Lisbon/Portugal
Prof. Pyung Hoi Koo/Pukyong National University, Korea
Prof.An-Chen Lee, National Chiao Tung University, Taiwan
Technical Committee
Assoc.Prof. Muhammad Abaidullah Anwar/Al Ghurair University Dubai, UAE
Prof. S. Mohammad Bagher Malaek/ Sharif University of Technology in Tehran – Iran
Prof.King-Chu Hung, National Kaohsiung First University of Science and Technology,
Taiwan
Prof.Mozammel Huq Azad Khan, East West University, Bangladesh
Dr.Amirhossein Sajadi, Electrical Engineering and Computer Science Department of Case
Western Reserve University, OH, USA
Dr. Sutep Tongngam, National Institute of Development Administration (NIDA), Thailand
Dr. P.SIVAPRAKASH, Department of Mechanical Engineering,
A.S.L.Pauls College of Engineering& Technology, Coimbatore, India.
Assistant Prof.Pankaj Bhambri, Guru Nanak Dev Engineering College, India,
Assistant. Prof., Sureshkumar M.S, Sri Ramakrishna Engineering College, India.
Prof. Dr Bora I Kumova, İzmir Institute of Technology, Turkey
Prof. Amala V. Rajan, Higher Colleges of Technology – Dubai Women’s College, UAE
Prof. Javad Dodangeh, University of Technology Sydney, Australia
Prof. Heonchang Yu, Department of Computer Science Education, Korea University
Yong Mao, MD Anderson Cancer Center, Houston, USA
Shudong Fang, University of Auckland, New Zealand
Prof. Bandit Suksawat, King Mongkut's University of Technology North Bangkok. Thailand
prof. Hiroshi Takami, Shibaura Institute of Technology, Department of Electrical
Engineering, Japan.
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Nanyang Executive Centre
50 Nanyang Avenue, Singapore, 639798
Tel. +65 6794 7860 or email to [email protected]
http://www.ntu.edu.sg/NEC/Pages/default.aspx
GMT/UTC +8
Get on at Changi Airport (CG2)transfer at Tanah Merah (EW4) take the train all
the way to Boon Lay (EW27) or Pioneer station(EW28) NTU (journey time 
1h30m)
Notice: NTU shuttle bus service: Campus Rider is a free shuttle bus service to and from
Pioneer MRT station.
From Boon Lay station, Services 179 & 199 will take you in to NTU. From Pioneer
station, hop on the Campus Rider which stops in front of Blk 649A.
For more, please click:
http://www.streetdirectory.com/travel/
http://www.ntu.edu.sg/has/Transportation/Pages/GettingToNTU.aspx
By Taxi: Total Time: 32 min, Approx Fare $35.40. There are various taxi companies
operating in Singapore. Comprehensive information on Singapore taxis is available at
www.taxisingapore.com.
Singapore is hot and humid all year-round, with temperatures usually reaching over 30°C.
You should be prepared for rain at any time, which can be torrential but usually brief.
The currency for the Singapore dollar (SGD), 1 Yuan is equal to 100 points. The paper
money face value has 2 Yuan, 5 Yuan, 10 Yuan, 50 Yuan, 100 Yuan, 500 Yuan, 1000 Yuan,
10000 Yuan; The coin has 5 point, 10 point, 20 point, 50 point, 1 Yuan.
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You are not allowed to smoke in all air-conditioned places, such as malls and eateries.
There are designated smoking areas in some entertainment outlets and open-air
eateries.
You can drink water straight from the tap as the water in Singapore passes World Health
Organization standards. You can also buy bottled water easily.
Know more, please click: http://www.yoursingapore.com/en.html.
 Emergency (police, fire, ambulance) : 999/995/995
 Weather report: 0065-65427788
 Tourist Complaint Hotline: 18007363366
Voltage :
220-240 volts AC (50 cycles)
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Oral Presentations

Timing: a maximum of 15 minutes total, including speaking time and discussion.
Please make sure your presentation is well timed. Please keep in mind that the
program is full and that the speaker after you would like their allocated time
available to them.

You can use CD or USB flash drive (memory stick), and make sure you scanned
viruses in your own computer. Each speaker is required to meet her/his session
chair in the corresponding session rooms 10 minutes before the session starts and
copy the slide file(PPT or PDF) to the computer,

It is suggested that you email a copy of your presentation to your personal inbox as
a backup. If for some reason the files can’t be accessed from your flash drive, you
will be able to download them to the computer from your email.

Please note that each session room will be equipped with a LCD projector, screen,
point device, microphone, and a laptop with general presentation software such as
Microsoft PowerPoint and Adobe Reader. Please make sure that your files are
compatible and readable with our operation system by using commonly used fronts
and symbols. If you plan to use your own computer, please try the connection and
make sure it works before your presentation.

Movies: If your PowerPoint files contain movies please make sure that they are well
formatted and connected to the main files.
Poster Presentations

Maximum poster size is 36 inches wide by 48 inches high (3 ft. x 4 ft.)

Posters are required to be condensed and attractive. The characters should be large
enough so that they are visible from 1 meter apart.

Please note that during your poster session, the author should stay by your poster
paper to explain and discuss your paper with visiting delegates.
Dress code

Please wearing formal clothes or national characteristics of clothing
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“Security Enhancements for Communication Networks in Smart Grid”
Abstract: The ever growing demand of energy all over the world has compelled a shift
from the traditional power distribution system to a more sustainable and efficient system
incorporating the advances of Information technology and communication and
networking technologies. This new energy infrastructure is envisioned not only to
provide more optimal energy consumption and better real-time power requirement
assessment but also to incorporate renewable energy generation sources at both
consumer and provider sides for environment friendly power generation.
In this talk, we investigate the security aspects of the home area networks (HANs) and
neighborhood area networks (NANs) to support the operation of the smart grid in detail.
We explore the vulnerabilities of the HANs and NANs under various malicious attacks and
review current major solutions to protect the networks from those attacks. We further
present an example to show the possible security enhancement over the NANs.
About Prof. Maode Ma: Dr. Maode Ma received his Ph.D. degree in
computer science from Hong Kong University of Science and Technology
in 1999. Now, Dr. Ma is an Associate Professor in the School of Electrical
and Electronic Engineering at Nanyang Technological University in
Singapore. He has extensive research interests including wireless
networking and network security. He has led and/or participated in 18 research projects
funded by government, industry, military and universities in various countries. He has
been a general chair, technical symposium chair, tutorial chair, publication chair, publicity
chair and session chair for more than 70 international conferences. He has been a
member of the technical program committees for more than 180 international
conferences. Dr. Ma has more than 260 international academic publications including
more than 110 journal papers and 150 conference papers. He currently serves as the
Editor-in-Chief of International Journal of Computer and Communication Engineering
and International Journal of Electronic Transport. He also serves as a Senior Editor for
IEEE Communications Surveys and Tutorials, and an Associate Editor for International
Journal of Network and Computer Applications, International Journal of Security and
Communication Networks, International Journal of Wireless Communications and Mobile
Computing and International Journal of Communication Systems. He had been an
Associate Editor for IEEE Communications Letters from 2003 to 2011. Dr. Ma is the
Fellow of IET and a senior member of IEEE Communication Society and IEEE Education
Society. He is the Chair of the IEEE Education Society, Singapore Chapter. He is serving
as an IEEE Communication Society Distinguished Lecturer.
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“Flow-Net Accountable Logging and Applications”
Abstract: Accountability implies that any entity should be held responsible for its own
specific action or behavior so that the entity is part of larger chains of accountability. One
of the goals of accountability is that once an event has transpired, the events that took
place are traceable so that the causes can be determined afterward. The poor
accountability provided by today’s computers and networks wastes a great deal of
money and effort. This is due to the simple fact that today’s computing and network
infrastructure was not built with accountability in mind. In this talk we introduce our
previous work: accountable logging methodology called flow-net. We apply this
methodology to many applications ranging from operating system design to computer
networks.
About Prof. Yang Xiao: Dr. Yang Xiao is a full Professor of Department
of Computer Science at the University of Alabama, Tuscaloosa, AL, USA.
His current research interests include communications/networks and
computer/network security. He has published over 200 SCI-indexed
journal papers and over 200 EI indexed refereed conference papers and
book chapters related to these research areas. Dr. Xiao’s papers have
more than 12000 citations and his h-index is 56, based on Google scholar on Aug. 1 2014.
Dr. Xiao was listed among 800 computer science researchers with h-index larger than or
equal to 40. His research has been supported by the U.S. NSF, U.S. Army Research, GENI,
Fleet Industrial Supply Center-San Diego, FIATECH, and The University of Alabama’s
Research Grants Committee.
Dr. Xiao was a Voting Member of IEEE 802.11 Working Group from 2001 to 2004,
involving IEEE 802.11 (WIFI) standardization work. He is a Fellow of IET (FIET). He
served/serves as a Panelist for the U.S. National Science Foundation (NSF), The Global
Environment for Network Innovations (GENI), Canada Foundation for Innovation’s
Telecommunications expert committee, and the American Institute of Biological Sciences,
as well as a Referee/Reviewer for many national and international funding agencies. He
currently serves as Editor-in-Chief for International Journal of Security and Networks and
International Journal of Sensor Networks. He had (s) been an Editorial Board or
Associate Editor for 15 international journals, including IEEE Transactions on Systems,
Man, and Cybernetics: Systems, during 2014 to 2015, IEEE Transactions on Vehicular
Technology, during 2007 to 2009, and IEEE Communications Survey and Tutorials,
during 2007 to 2014. He served (s) as a Guest Editor for over 20 times for different
international journals, including IEEE Network , IEEE Wireless Communications , and
ACM/Springer Mobile Networks and Applications (MONET). Dr. Xiao has delivered over 20
keynote speeches at international conferences around the world and gave more than 60
invited talks at different international institutes.
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“”
Abstract:
About Dr. Girija Chetty: Dr. Girija Chetty has a Bachelors and Masters
degree in Electrical Engineering and Computer Science, and PhD in
Information Sciences and Engineering from Australia. She has more than
25 years of experience in Industry, Research and Teaching from
Universities and Research and Development Companies from India and
Australia, and has held several leadership positions including Head of
Software Engineering and Computer Science, and Course Director for Master of
Computing Course. Currently, she is the Head of Multimodal Systems and Information
Fusion Group in University of Canberra, Australia, and leads a research group with
several PhD students, Post Docs, research assistants and regular International and
National visiting researchers. She is a Senior Member of IEEE, USA, and senior member
of Australian Computer Society, and her research interests are in the area of multimodal
systems, computer vision, pattern recognition and image processing. She has published
extensively with more than 120 fully refereed publications in several invited book
chapters, edited books, high quality conference and journals, and she is in the editorial
boards, technical review committees and regular reviewer for several IEEE, Elsevier and
IET journals in Computer Vision, Pattern Recognition and Image Processing.
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May 20th| Wednesday|
Morning
Registration (Lobby) & PPT copy
Add&Tel: Nanyang Executive Centre, 50 Nanyang Avenue,
Singapore, 639798, Tel. +65 6794 7860
Notes:
10:00am-17:00pm
*Collecting conference materials
*Delegates will get the certificate at the registration desk.
*The organizer won't provide accommodation, and we suggest
you make an early reservation.
May 20th| Wednesday|
Afternoon
Room A
Opening Remarks:
Prof. Maode Ma, Nanyang Technological University, Singapore
Keynote Speech 1:
Prof. Yang Xiao, The University of Alabama, Tuscaloosa, USA
Keynote Speech 2:
Dr. Girija Chetty, University of Canberra, Canberra, Australia
COFFEE BREAK & GROUP PHOTO
Prof. Maode Ma, Nanyang Technological University, Singapore
14:30pm-14:35pm
14:35pm-15:15pm
15:15pm-15:55pm
15:55pm-16:35pm
16:35pm-17:15pm
May 21st| Thursday|
Morning
Room B
Session 1A: Electronics and Information Technology-6
COFFEE BREAK
Session 1B: Electronics and Information Technology-6
9:00am-10:30am
10:30am-10:45am
10:45am-12:15am
Room C
Session 2A: Machinery Manufacturing and Industrial Engineering
9:00am-10:30am
COFFEE BREAK
10:30am-10:45am
Session 2B: Machinery Manufacturing and Industrial Engineering
10:45am-12:15am
Lunch at Fusion Spoon
12:15am-13:00pm
May 21st| Thursday|
Afternoon
Room B
Session 3: Communication and Information System-10
COFFEE BREAK
15:30pm-15:45pm
Session 4: Robot and Control System-16
15:45pm-19:30pm
Room C
Session 5: Image and Video Processing Technology-10
COFFEE BREAK
Session 6: Computer and Information Technology-16
Dinner at Fusion Spoon
May 22nd
13:00pm-15:30pm
Half-day Visit to NTU
13:00pm-15:30pm
15:30pm-15:45pm
15:45pm-19:30pm
19:30pm-20:30pm
9:30am-12:00am
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Venue: Room A
Chair: Prof. Maode Ma, Nanyang Technological University, Singapore
Time: 14:30pm-17:15pm
14:30pm-14:35pm
14:35pm-15:15pm
15:15pm-15:55pm
Opening Remarks
Prof. Maode Ma,
Nanyang Technological University, Singapore
Keynote Speech I
Prof. Yang Xiao,
The University of Alabama, Tuscaloosa, USA
“Flow-Net Accountable Logging and Applications”
Keynote Speech II
Dr. Girija Chetty,
University of Canberra, Canberra, Australia
“”
15:55pm-16:35pm
Coffee Break & Group Photo
16:35pm-17:15pm
Keynote Speech III
Prof. Maode Ma,
Nanyang Technological University, Singapore
“Security Enhancements for Communication Networks in
Smart Grid”
*The Group Photo will be updated on the conference webpage and SCIEI official website:
www.sciei.org
**One best presentation will be selected from each session, the best one will be announced and
awarded the certificate after each session, and the winners’ photos will be updated on SCIEI
official website: www.sciei.org.
***Best Presentation will be evaluated from: Originality; Applicability; Technical Merit; PPT;
English.
**** Please arrive at the conference room 10 minutes earlier before the session starts, copy your
PPT to the laptop.
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Venue: Room B
Chair: Prof. Yang Xiao,
The University of Alabama, Tuscaloosa, USA
Time: 9:00am-10:30am
One-Class Classification by Local Target Selection
Mr. Younghoon Kim, Seoung Bum Kim
Korea University, Republic of Korea
One-class classification plays an important role in outlier and novelty detection. Traditional
one-class classification algorithms determine a decision boundary that identifies the property of
the target data. In this work, we propose a novel algorithm for one-class classification based on
the mixed integer quadratic programming method. The proposed method minimizes the radius of
a spherically shaped boundary subject to the number of target data being equal to a constant
value specified by users. By modifying this constant value, users can exactly control the
proportion of target data described by the spherically shaped boundary. Moreover, analogous to
Support Vector Classifier, the boundary can be made flexible by using some kernel functions.
The usefulness of the proposed method was demonstrated through experiments with simulated
data.
A Research Paper Recommendation based on Citation Networks
Ms. Jieun Son, SeoungBum Kim
Korea University, Republic of Korea
Recommendations have attracted growing attentions from both academia and industry.
Compared to other applications such as books, movies, and music, relatively few studies have
been conducted on the recommendation for research papers. Typically, researchers filter the huge
mass of existing research papers to find out relevant publications associated with their research.
However, this filtering process is generally time consuming because the number of research
paper published is exponentially growing. To address these problems, past studies have focused
on finding better recommendations for searching research papers. Citation analysis, content
analysis, and social networks have been utilized for better paper recommendations. Of these,
algorithms based on citation analysis have been widely used. However, citation analysis-based
techniques have some drawbacks. Their analysis depends solely on co-citation and bibliographic
coupling. These techniques count the number of links that directly cite or are cited at single-level
networks. Therefore, recently published papers do not tend to be recommended because of their
fewer citations. In this paper, we propose a recommendation algorithm for research papers by
combining citation and networks analyses. The proposed algorithm uses the distance and weight
of links in a multiple-level simultaneous citation networks to measure the relationship among the
papers. The multiple-level citation network can simultaneously consider mutual relationships
among the papers which are connected indirectly. Further, the proposed algorithm takes into
account various measures that characterize the network (e.g., degree centrality, closeness
centrality, betweenness centrality) to determine the core papers. The comparison results based on
real data showed that proposed algorithm outperformed the existing ones from ‘Google Scholar’
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and ‘SCOPUS’.
Group-wise Variable Selection for Virtual Metrology Modeling of Process Signals
Mr. Chanhee Park, Seoung Bum Kim
Korea University,Republic of Korea
Lot to lot process control is widely implemented in semiconductor manufacturing processes and
it is being replaced with wafer to wafer control to achieve tighter process control. Virtual
methodology (VM) has been developed to perform wafer to wafer control economically. VM
model can be constructed based upon not only traditional process variables, but also advanced
spectroscopic signal data. Analysis of spectroscopic signals involves combinations of multiple
samples collected over time, each with a large number of features (wavelengths). This leads to a
huge number of data points and a situation that challenges analytical and computational
capabilities. Furthermore, the spectroscopic signals include several groups of features which are
highly correlated with each other. To simplify such a complexity in spectroscopic signals while
taking into account their correlation structure, appropriate data reduction techniques are required.
In this study, we propose to use regularized regression methods including group lasso and sparse
group lasso that have desired effect of group-wise variable selection for virtual modeling of
spectroscopic signals. Experiments on data from real semiconductor manufacturing processes
demonstrated the usefulness and applicability of the group lasso and sparse group lasso models.
A Hybrid Monitoring Method for Robust Multivariate Process Control
Mr. Sung Ho Park and Seoung Bum Kim
Korea University, Republic of Korea
Control chart, the most representative statistical process control technique, can be considered to
share a common goal with classification algorithms in that both of them aim at estimating the
decision boundaries that classify the observations into either in-control or the out-of-control
classes. The main limitation that conventional control chart cannot take advantage of using
out-of-control information can be eased by integrating classification algorithms with existing
monitoring techniques. In the present study, we proposed a hybrid scheme that combines T2
control chart and binary class classification algorithms by eliciting the nature of class
distributions. Simulation and real case studies demonstrated that the proposed method can be
effectively used for monitoring multivariate processes when their distributions are nonnormally
distributed or unknown.
Ethics Responsibilities of Undergraduate students at INU
Dr. Khader Musbah Titi
Irbid National University, Jordan
The world is changing in all our life aspects, new information technologies are effective software
tools in helping individuals and organization. However, the power of these technologies such as
the Internet can be used for bad as well as for good. Software engineers make decisions about
when a product is free of errors and safe and thus ready to be released and used by individuals or
companies. People make decisions about access to and use of private information. People make
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decision either to buy an original copy or just a copied version of a book or a CD. These
decisions have to be fair and honest.
The main aim of this research is to conduct a survey to study some ethical issues related to
actions and decisions of students at Irbid National University in Jordan.
Modified Delphi-AHP Method Based on Minimum-Cost Consensus Model and Vague Set
Theory for Road Junction Control Method Evaluation Criteria Selection
Mr. P. K. Kwok and Henry Y.K. Lau
The University of Hong Kong, Hong Kong
Group decision making is an important symbol of a democratic society. It helps to explore
problems from wider angles and the results generated will usually be widely accepted by the
public. Yet, there are drawbacks of group decision making. It usually takes more time and
resources than individual decision making and also sometimes the one with a louder voice will
dominate the discussion. In this paper, a group decision making framework derived that are
based on the modified Delphi-AHP method based on minimum-cost consensus model (MCCM)
and vague set theory is proposed to gather different experts’ opinions on the evaluation criteria
and their relative importance for choosing a suitable road junction control method in a
multi-objectives environment. It is believed that the proposed framework can help to strengthen
the advantages and to solve the above drawbacks of group decision making. A numerical case
study is proposed to demonstrate the use of this framework.
Study of a Three-Phase Bridgeless Flyback PFC
Mr. Boyang Chen, Lei Li, and Xinran Zhang
Nanjing University of Science and Technology, China
Traditional power factor correction (PFC) circuit, which limits the power density is often passive
components. With the development of power electronics technology, high-frequency, modular,
miniaturization is the inevitable trend of development. In pursuit of efficiency and the use of
bridgeless topology brought about more complex control method compared with the
conventional topology. In this paper a three-phase bridgeless Flyback PFC topology is studied,
the use of three-phase input, which greatly reduce the storage capacity of the capacitor, working
in discontinuous current mode (DCM), using fixed duty cycle control to achieve unity power
factor, with a simple and efficient, simple control advantages .The simulation results from a
250W universal input prototype are given to verify the effectiveness of the analysis.
A Novel Half-Bridge Converter for Battery Charging-Discharging
Mr.Yifan Zhou, Zhixiang Liu, Lei Li, Peiyao Wu
Nanjing University of Science and Technology, China
Charging-discharging converter for battery cells is widely used in modern industry to measure
the performance of the battery. With the rapid development of the technology of switching power
supply today, converters with high efficiency and small size are becoming more and more
important. This paper proposes a novel half-bridge converter for battery charging-discharging
based on Thevenin equivalent model with high efficiency and simplified structure. The control
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circuit and detecting circuit are also analyzed in the main system. The simulation results from
two series of 28V, 800Ah lead-acid battery cells are given to verify the stability and reliability of
the converter.
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Venue: Room B
Chair: Prof. Yang Xiao,
The University of Alabama, Tuscaloosa, USA
Time: 10:45am-12:15am
Online Identification and Internal Model Control for Regulating Hemodynamic Variables in
Congestive Heart Failure Patient
Ms. Arpita Bhattacharjee, Ashoke Sutradhar
Indian Institute of Engineering Science and Technology, Shibpur, India
This paper deals with one of the most challenging task of simultaneous control of two
hemodynamic variables by the infusion of sensitive cardiac drugs in congestive heart failure
(CHF) patients. A nonparametric internal model control (IMC) algorithm along with an integral
control action has been proposed in this work for regulating two hemodynamic variables, the
mean arterial pressure (MAP) and the cardiac output (CO) by simultaneous administration of
two drugs – sodium nitroprusside (SNP) and dopamine (DPM). The two-input two-output
physiological model of CHF patient is identified online by solving Volterra kernels from the
input-output data of the physiological process. FFTs are taken on respective time domain kernels
to obtain the Volterra transfer function (VTF) of the multivariable system. The internal model
control algorithm is developed using this VTF. The integral control action has been combined
with IMC for set-point tracking. Using this closed loop control algorithm MAP and CO reaches
the steady state value within a very short time with the minimum infusion of highly sensitive
cardiac drugs in presence of actuator and sensor noises.
Recommendation of Personalized Surveillance Interval of Colonoscopy via Survival Analysis
Ms. Jayeon Gu, Eun Sun Kim, Seoung Bum Kim
Korea University,Republic of Korea
A colonoscopy is important because it detects the presence of polyps in the colon that can lead to
colon cancer. How often one needs to repeat a colonoscopy may depend on various factors. The
main purpose of this study is to determine personalized surveillance interval of colonoscopy
based on characteristics of patients including their clinical information. The clustering analysis
using a partitioning around medoids algorithm was conducted on 626 patients who had a medical
examination at Korea University Anam Hospital and found several subgroups of patients. For
each cluster, we then performed survival analysis that provides the probability of having polyps
according to the number of days until next visit. The results of survival analysis indicated that
different survival distributions exist among different patients’ groups. We believe that the
procedure proposed in this study can provide the patients with personalized medical information
about how often they need to repeat a colonoscopy.
A Disease Diagnostic Assistant System using DTI and Extreme Learning Machine
Dr. Wang shuqiang, Shen Yanyan, Hu Jinxing, Zeng Dewei
Institute of Advanced Computing and Digital Engineering, Shenzhen Institute of Advanced
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Technology, Chinese Academy of Science, China
There is a growing interest in applying diffusion tensor imaging (DTI) to the evaluation of brain
and spinal cord related disease. In the present study, the DTI data and extreme learning machine
were employed to identify the levels with cervical spondylotic myelopathy (CSM) in spinal cord.
In this work, there are 40 volunteers including 20 healthy people and 20 patients with CSM
ranging from 24 to 81 years old. Experiment results show that the extreme learning machine
based classifier performs well in detecting the patients with CSM (accuracy 93.6%, sensitivity:
91.2%, specificity 94.7%). The current work reveals the potential of using diffusion tensor
imaging in conjunction with extreme learning machine to automate the classification of healthy
subjects and subjects with brain and spinal cord related disease.
Regularized Classification for Discrimination of Mass Spectra from Bacterial Strains
Mr. Jaehong Yu, Seoung Bum Kim
Korea University,Republic of Korea
Mass spectrometry is widely used in biomedical fields for diagnosing diseases or monitoring
pathogenic activities. Analyzing mass spectra usually involves combinations of multiple
samples, each with a large number of features. Dimensionality reduction is important in coping
with this complexity. Dimensionality reduction can generally be achieved by feature extraction
or feature selection techniques. Feature extraction methods transform the original features to
extract new features. In general, the first few features from feature extraction methods are
sufficient to account for the original data. However, these transformed features do not provide
any clear interpretations with respect to the original features because they are linear
combinations of a large number of original features. Feature selection methods directly identify a
subset of features that are most predictive of a given response feature. However, most of
traditional feature selection methods do not take into account the correlation structure of the
features. Some feature selection methods consider the relationships among the features but they
tend to only eliminate the redundant features not irrelevant ones. In this study, we propose to use
a logistic lasso algorithm as an effective feature selection algorithm in high-dimensional mass
spectra. A logistic lasso algorithm automatically selects significant features while taking into
account the correlation structure of the features and uses them to construct classification models.
The usefulness and accuracy of the logistic lasso model were demonstrated by the mass spectra
from bacteria in which the purpose of this analysis is to identify the important features that
differentiate between different strains of bacteria.
Implementation of Wireless Electrocardiogram Monitoring System
Thanapong Chaichana, Yutthana Pititeeraphab, Manas Sangworasil, Takenobu Masuura,
Ms.Nutchanat Kitsongsang
Rangsit University, Thailand
We describe the design and development of wireless electrocardiogram monitoring system to
meet the biomedical needs. Our system is able to acquire, display and record the patient’s real
time electrocardiogram (ECG) data. Patient data received from this system can be further used
for analysis of abnormal heart rate and new clinical applications. System hardware comprises of
an electrode as part of signal input, signal conditioning components for manipulating signal, the
8051 microcontroller unit to perform signal processing and wireless communication module.
Software was developed in Visual Basic 6 to record and visualise ECG signal in real time.
Therefore, we implemented ECG report system, and this can be used to advanced ECG study.
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These instructions give you basic guidelines for preparing camera-ready papers.
Implementation of Electric Wheelchair with Microcontroller
Yutthana Pititeeraphab, Thanapong Chaichana, Nuntachai Thongpance, Ms. Pimchanok
Rungrueng
Rangsit University, Thailand
This paper presents the design of electric wheelchair. We build machine that is capable to attach
with any traditional wheelchair, and to control its movement semi-automatically. This helps
handicapped person who has difficult body-movement to be able to travel simply. The machine
comprises of power-driven system including a metal tube frame, wheels, motor, brake and
accelerator, and electronic control department based H-bridge circuit and programmable
microcontroller with the ATmega168. Software was developed in C++ for programming
microcontroller. Running test was on flat straight and slope courses. Results showed that it
achieved a maximum load is 100 kilograms with a top speed of 8.42 kilometres per hour, and the
average of battery lifetime is up to 1 hour and 30 minutes. Thus, we build a cost effective
machine to provide an opportunity to translate conventional wheelchair to be an electric
wheelchair.
A Novel Control Sheme To Reduce Storage Capacitor Of Flyback PFC Converter
Mr. Boyang Chen, Lei Li, Xinran Zhang
Nanjing University of Science and Technology, China
DCM Flyback PFC converter is mainly used in medium and low power applications, having
such advantages as zero-current turning on of switch, no reverse recovery of diode and high PF.
At the time power electronics widely used today, passive components volume limits the
improvement of power density. This paper derives the expressions of the switching turn-on time
and the input current of DCM Flyback PFC converter, and based on which, a variable duty
control is proposed so as to make the energy storage capacitor reduce to the original 65.6% at the
same voltage ripple level while PF is not less than 0.9.The simulation results from a 200W
universal input prototype are given to verify the effectiveness of the analysis.
Equalization Chargers Using Parallel- or Series-Parallel-Resonant Inverter for Series-Connected
Supercapacitors
Mr. Yifan Zhou and Lei Li
Nanjing University of Science and Technology, China
A equalization charger using parallel-or series-parallel-resonant inverter for series-connected
supercapacitors is proposed in this paper, according to low voltage characteristic of
supercapacitor. This topology reduces a large number switches and only has resonant structure
including some diodes and a single transformer. In addition, because of the characteristic of
parallel resonant inverter, the equalization charging current can be limited in the numerical
value. So the topology can work steadily without feedback control. The control circuit is greatly
simplified. The simulation results from a 200W universal input prototype are given to verify the
effectiveness of the analysis and the merits and demerits of this topology also are introduced.
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Venue: Room C
Chair:
Time: 9:00am-10:30am
Dynamic Buffer Management for Raw Material Supply in the Footwear Industry
Prof. John Reyes, Kevin Alvarez, Rosa Vazquez
Universidad Técnica de Ambato, Ecuador
In this paper, the application of inventory buffers is proposed as a management tool for the
supply of raw material in the footwear industry. This allows to increase competitiveness and a
significant decrease in investment in materials stored in the warehouses. This technique based
on the holistic view will achieve the global optimum of the system giving importance to factors
that prevent success of companies. In this sense, it is identified that the market demand is the
system´s constraint for the development of the master production schedule. Considering this, it
is necessary to concentrate all the materials in the central warehouse to establish an optimum
inventory levels or buffers. Using a technique of colors materials ordering program is regularly
reviewed through dynamic buffer management. As a result, the model improves the way how
inventory of materials in the footwear industries is managed for resupply. Giving a priority to
the materials low in stock. This generates 18,7 % of annual saving in inventory costs.
Application of AHP in the Analysis of Flexible Manufacturing System
Assoc. Prof. Sandeep Singhal, Rajveer Singh, and Parveen Sharma
National Institute of Technology, India
In recent years, the area of manufacturing has become more intensive and competitive.
Now-a-days all the service fields are attempting to find ways to improve their flexibility by
changing their manufacturing strategy. The main aim of Flexible Manufacturing is to adopt
effective and efficient strategies to fulfill the demands of consumers. In this highly competitive
global market the industries are forced to focus more on increasing productivity and quality
coupled with decreasing cost by right selection of efficient manufacturing system. Present study
highlights a logical procedure to select the effective flexible manufacturing process in terms of
various aspects as quality improvement, faster delivery, profitability, etc. by using Analytical
Hierarchy Process (AHP) method. The AHP is used in flexible manufacturing as a potential
decision making tool. The primary requirement of AHP is to make a matrix of the variables for
their paired comparison. There are a lot of AHP processes, but here only the two of them i.e.
Additive Normalization Method and Geometric Mean Method are being used by analyzing the
flexible manufacturing with respect to micro and macro variables.
A Novel Multifunctional Energy Storage System in Industrial Distribution Network
Mr. Tong Wu, George You Zhou, Jianna Niu
National Institute of Clean and Low Carbon Energy, Beijing, China
In order to meet the increasing safety demands from coal industry and mining company, a lead
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acid and lithium iron phosphate(LFP) battery energy storage based megawatt level
multifunctional emergency power station is designed and developed for a famous coal mine in
Inner Mongolia, China. The major function of system is: when the local power grid works
normally, the developed system will play the reactive power compensation function instead of
traditional static capacitor; when the local grid occurs failure, the energy storage based
emergency power station will provides stable power to the extremely critical loads of coal mine
for at least 30min. Besides, the proposed energy storage system also can play the ‘peak shaving’
and distributed new energy generation smoothing according to the customer requirement. The
This paper firstly describes the system integration design and major functions; secondly
introduce the power conversion system design and NI software/hardware based central control
unit; thirdly analyzes the solutions for increasing system lifetime including novel harmonics
control for charging & discharging and battery regular online maintenance strategy; finally
provides the simulation and test results which demonstrate the correctness of system design,
software/hardware development and integration. The business value evaluation shows the high
market potential of the proposed system in China and worldwide.
Adjustable Robust Planning for Multi-Period Production and Distribution Systems
Assit. Prof. Byung Do Chung, Jae Sang Lee
Sungkyunkwan Univsersity, Republic of Korea
For many companies, the uncertainty is one of the challenging issues and the consideration of
uncertain demand is critically important, especially when demand history is not available. This
paper aims to develop a robust planning model to solve a multi-period production and
distribution problem under demand uncertainty. In this paper, no probability distribution is
presumed and a box-type uncertainty set is assumed. In other words, we only need a range of
uncertain demand at each time period, which is different from the traditional stochastic
programming approach. First, we develop a deterministic linear programming model and
introduce a set of uncertain parameters. The problem is reformulated as a tractable robust
counterpart (RC). Next, the robust counterpart is extended to the affinly adjustable robust
counterpart (AARC) by assuming a specific form of linear decision rules. The AARC is also a
linear programming model and easily solved with a commercial solver. Finally, a simulation
experiments are conducted in order to compare the performance of the deterministic model, RC
and AARC. The results show that the AARC solution outperforms the others in terms of mean,
standard deviation and worst-case cost.
A Novel Embedded Energy Storage System for Diesel Engine Test Platform
Ms. Jianna Niu, George You Zhou, Tong Wu
National Institute of Clean and Low Carbon Energy, Beijing, China
As is known to all, components of locomotive will be abraded, deformed or damaged after a
period of running. In order to ensure the locomotive running stably and extend its lifetime,
periodic maintenance and testing must be performed. At present, as a means of load test, water
resistance test has been widely used in locomotive diesel engine test field. According to
conservative estimates, the static continuous test will accounts 15 ~ 30% of the energy
production through the whole engine life. It will not only cause great waste of energy, but also
cause severe corrosion of metal plate. This paper proposes a novel embedded energy storage
system used in an energy harvesting demonstration project which is implemented to storage the
energy produced during diesel engine test process. This paper also describes the project overall
design and the function of key equipment. System simulation and experiment results show that
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this system is stable and reliable during energy harvesting.
Importance of Product Life Cycle Management in Design and Development of a Product
Dr. R. Henry Xavier, H.Donna Xavier
Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, India.
Product life cycle management (PLM) is a process of managing the entire life cycle of a product
from its conception through design and manufacture to service and disposal. PLM integrates
people, data, processes and business systems. In this paper, a full fledge knowledge about
product life cycle management is given. The history of PLM, Benefits of PLM, Phases of PLM,
Importance of PLM, in design and development of a product, Various modern software and
tools used in design and development of a product however complex has been discussed. Also
various applications with a special reference to aircraft industry have been discussed.
AHP Based Methodology for Selecting Section of Subway Construction in Thailand
Mr. Phikid Vayophad and Warapoj Meethom
Department of Industrial Engineering, King Mongkut's University of Technology North
Bangkok, Thailand
Safe workplace in the subway construction make a major contribution to personnel safety.
Safety of the section in the subway construction is often guaranteed or enhanced by work
complexity, machine and equipment, accident statistic, accident severity, work environment, and
number of workers for these projects. The choice of a sector safety risk in the subway
construction involves multiple criteria decision making and ranking of alternatives according to
often contrasting performance measures. In this paper, a systematic methodology for selecting a
type of sector of subway construction at risk possible to accidents aimed at reducing physical
environmental hazards of type of sector in subway construction is presented. The method at first
includes a classification of type of sector in the subway construction, then introduces an
exhaustive list of 6 factors useful to judge the suitability of selecting a type of sector in the
subway construction for comparison purposes. A comparison of relative importance between the
rating criteria is then carried out in the framework of the Analytic Hierarchy Process (AHP)
decision making approach, based on expert opinion, allowing unambiguous prioritization of the
above decision making factors. Limitation and future work of this study are also discussed.
The Deteriorations of Productivity Output During Unforeseen Disruption
Mr. John M. Ikome, MG. Kanakana, S.P Ayodeji and M.E Ikome
Tshwane University of Technology/Department of Industrial Engineering, Pretoria, South
Africa.
In most real-world environments, production scheduling is an ongoing process where the
presence of a variety of unforeseen disruptions is usually inevitable, and continually forces
reconsideration and revision of pre-established schedules. Many of the approaches developed to
solve the problem of production scheduling are often unfeasible in real-world environments, and
the near-optimal schedules with respect to the estimated data may become obsolete when they
are released to the production lines or shop floor. This paper outlines the impact of unforeseen
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disruptions that affect manufacturing systems during production and being able to cope or react
to this determines a company’s out-put and profitability. The theory of multifactor productivity
and line balancing are employed to determine how disruption affect productivity out-put. The
result reveals that, when disruption occurs continuously with time, the total productivity out-put
decreases and on the other hand, requiring more resources to meet up with the planned capacity
demand.
Two stage supply chain enterprises’ production and reduction decision-making mechanism
research considering emission trading
Mr. Jianan Sun, Zhongdong Xiao, Guanghui Zhou
Xi’an Jiaotong University, China
Economic activities should reflect scarce and efficient allocation of environmental resources
after carbon emission quota has become a kind of resource. These low-carbon economy
characteristics profoundly change the cost structure, profit model and market risk compared
with the traditional supply chain. This paper puts forward the topic ‘the research of two stage
supply chain enterprises’ production and reduction decision-making mechanism considering
emission trading’. The paper compares performance of the different decision modes in supply
chain on carbon emission. Analyze the members profit and the whole supply chain profit by
different two modes. Through investigating how upstream and downstream enterprises in the
supply chain choose cooperation reduction strategy while they are facing environmental
regulation, we can get their profits and reduction efficiencies in two different decision-making
models. It can be obtained that in the centralized decision-making case, both their profit and
reduction efficiency are optimal. The result shows that in the process of low carbonization of
manufacturing enterprises, government should aim at the enterprises which emit larger carbon
emission and grab from the source of supply chain firstly. And also enterprises must reduce their
optimal output in order to reduce their total carbon emissions.
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Venue: Room C
Chair:
Time: 10:45am-12:15am
Defective Reduction from Solder-Paste Strains on a Flexible Printed Circuit
Mr. Chantach Luxnanan, Oran Kittithreerapronchai
Department of Industrial Engineering, Chulalongkorn University, Bangkok, Thailand
During the last decades, consumer electronic devices have been integrated with our everyday
activities. One component that helps these devices to achieve with their small sizes and versatile
functions is a flexible printed circuit (FPC). Each FPC consists of various electronic
components on a flexible conducted surface using a special assembling process, called surface
mount technology (SMT). Within the SMT process, the most significant defective is the
solder-paste strain on pads of a FPC, which accounts for 0.28% of total products manufactured.
Such defective products cannot be reworked. Small group techniques revealed that the cleaning
routine of a solder printing machine is one of the root causes. Followed the six-sigma approach,
the defective rate is selected as the main response for hypothesis tests and design of experiment.
Determining of the optimal parameters in the cleaning routine using two-level full factorial
design with two replications suggest same direction and 80 cm per second cleaning speed
without vacuum as optimal setting. The result after one month of implementation showed that
the defective rate was reduced to 0.04%.
A Responsive Framework for Optimal Advertising Policy in the Digital Music Market
Ms. Tobey H. Ko and Henry Y.K. Lau
The University of Hong Kong,Hong Kong
This paper proposes a novel responsive framework to help the record label in making profit
maximizing advertising decisions in the product pre-release phase. We describe a market of
potential consumers where the consumer behaviors are backed by an interactive Markov Chain,
in which the periodic advertising activities carried out by the record label varies the population
frequencies of the potential consumer market. We demonstrate the working of the proposed
framework through an illustrative numerical example, results of the study show the proposed
framework's superiority both in terms of reach to potential consumers and the net profit it
brings.
Thermal and Fluid Characteristics of an Oval Finned-Tube Heat Exchanger for Large Diameters
Mr. Kyungjin Bae, Dongan Cha, Ohkyung Kwon
Korea Institute of Industrial Technology, Korea
The objectives of this paper are to investigate heat transfer and pressure drop for oval
finned-tube heat exchanger with large diameters used in a textile machine dryer. Numerical tests
using ANSYS CFX are performed for four different parameters; tube size, fin pitch, transverse
- 25 -
tube pitch and longitudinal tube pitch. It was found that the Nusselt number linearly increased
with increasing Reynolds number, but friction factor slightly decreased with increasing
Reynolds number. It was also found that the variation of longitudinal tube pitch made a little
effect on the Nusselt number and friction factor than other parameters below 2.0 and 2.5%,
respectively.
Nonparametric Multivariate Control Chart Based on Statistical Learning Algorithms
Ms. Seulki Lee, Seoung Bum Kim
Korea University,Republic of Korea
Statistical process control techniques have been widely used in many industries to improve
process capabilities by reducing variations and diagnosing processes. In modern manufacturing
systems containing the complexity and variability of processes, appropriate control chart
techniques that can efficiently handle the nonnormal processes are required. Furthermore, in real
manufacturing fields, process changes occur frequently because of various factors such as
product and set-point changes, seasonal variations and sensor drifting. However, traditional
control chart schemes cannot accommodate all possible future condition of the process because
they are formulated based on the information of the early process stage. In recent years, several
attempts have been made to convert a support vector data description (SVDD) algorithm into
control charts for monitoring a nonnormally-distributed processes. . In the present paper, we
propose a novel control chart based on an incremental SVDD and a bootstrap method that can
handle not only nonnormal in-control observations, but also time-varying processes.
Incremental SVDD is used to update the SVDD boundary and a bootstrap technique is used to
establish the control limits. Time-varying process monitoring charts should accommodate the
normal gradual changes but detect real process faults. The proposed control chart allows
efficient model updates and the detection of out-of-control signals simultaneously. The
effectiveness and applicability of the proposed chart was demonstrated through experiments
with simulated data and real data from a TFT-LCD manufacturing process.
Forecasting Construction Equipment Demand using Regularized Regression
Mr. Hyung Rok Do, Jae Hong Yu, Jieun Son, Kye Hyun Choi, Jong Hyung Lim, Seoung Bum
Kim
Korea University,Republic of Korea
Successful implementation of demand forecasting in construction equipment market enables
corporations to cope with uncertainty in the business environments. The information from
forecasting can be used in various fields including production planning, research and
development, inventory control, and sales management. In this study, we propose to use
regularized regression models to predict the demand for construction machinery based upon its
sales and operational information. Lasso and L1-norm support vector regression were used as
predictive models to forecast the demand and to identify the significant variables for prediction.
The usefulness and applicability of two regularized regression models were demonstrated by
real operational data and sales data from one of the leading construction equipment companies
in South Korea.
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Work Wearing Protective Clothing in Hot Environments: Lessons Learned from the
Development of Firefighter Personal Protective Clothing Standard Test
Assoc. Prof. Ilham Bakri and Yutaka Tochihara
Hasanuddin University, Indonesia
Some inconsistencies within the existing test standards for firefighter’s personal protective
clothing (PPE) are still remain. For that reason, and to response the need for an easier and
reliable PPE standard, a new firefighter PPE standard test was developed in our laboratory. The
aim of this paper is to describe some valuable lessons found in related to the men working using
PPE in hot environment. Firstly, there is still more space to reduce the burden on firefighters by
improving the SCBA and its harness design. Secondly, a PPE should be tested in hot
environment to have a better understanding about the physiological impact of the PPE in a
similar condition that it will be used. And lastly, although the tympanic temperature was more
reactive, the tympanic temperature profiles were in a similar tendency to the rectal temperature
profile so that the tympanic temperature measurement is acceptable in a PPE standard test.
Differential Evolutionary Algorithms with Novel Mutation Operator for Solving the
Permutation Flowshop Scheduling Problem
Ms. Chi-Hua Tien, Meng-Hui Chen, Chia-Yu Hsu, Pei-Chann Chang
Department of Information Management, Yuan Ze University, R.O.C Taiwan
Differential evolutionary (DE) algorithm is an effective algorithm to solve combinational
optimization problems, such as scheduling problems. This paper aims to propose an improved
differential evolutionary algorithm for the permutation flow-shop scheduling problem (PFSP)
by considering the minimum makespan, where the new mutation mechanism is used to enable
an appropriate sequencing for each job. For the reason, the main idea in this paper is to find out
the key scheme from the better solution and making the assimilation operator in mutation
procedure adopts the strategy based on the sequence. To evaluate the performance of the
proposed approach, eight benchmark tests by Taillard’s instance is used. The results demonstrate
that the proposed improved differential evolutionary algorithm outperform than the
conventional differential evolution algorithm.
Job Shop Scheduling with Flexible Routings based on Analytical Target Cascading
Yanguang Li, Prof. Guanghui Zhou, Zhongdong Xiao
Xi’an Jiaotong University, China
For solving the large-scale job shop scheduling problems considering flexible routings with the
characteristics of process planning and scheduling optimization, a hierarchical coordination
optimization model based on analytical target cascading is proposed in this paper, which is
divided into three sub-layers. The process planning layer is for optimal processing routes of all
jobs, and multiple manufacturing units is formed by clustering all machines based on factor
analysis method in the unit planning layer, and then the optimal scheduling solutions of jobs in
each unit is obtained by adopting the improved genetic algorithm respectively in the job
scheduling layer, which then gives feedback to the upper layer and repeatedly coordinates to
obtain the global optimal solution. Finally, a typical computational experiment comparatively
demonstrates the validity of the proposed model and algorithm, showing its efficient advantage
in solving the large-scale job shop scheduling problems with flexible routings.
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Technology Development for Fully-controlled Artificial Light-type Plant Factory
Prof. Masashi Sugano
Osaka Prefecture University, Japan
Plant factories are cultivation facilities that, through advanced and precise control of the
environment by monitoring the cultivation conditions and growth of plants, enable year-round
production of vegetables and other produce. In Osaka Prefecture University, the R&D Center
for the plant factory has been established as a cutting-edge R&D base specializing in a fully
artificial light-type facility.
This plant factory is the maximum scale among the Japanese universities and has the ability to
produce 5000 lettuce in every day. In this talk, I will explain some technologies such as energy
conservation and automation applied to this plant factory.
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Venue: Room B
Chair: Prof. Maode Ma,
Nanyang Technological University, Singapore
Time: 13:00pm-15:30pm
Mutual Authentication Protocol for RFID Security Using NFSR
Mr. T. Suresh and M.Ramakrishnan
Tagore Engineering College, Chennai, India.
Radio-Frequency Identification (RFID) is an automated identification procedure, relying on
storing and remotely recovering information using devices called RFID tag. RFID tags contain
an electronic product code (EPC) that may uniquely determine every tagged item. The RFID
tag stores its distinctive EPC with related product information within the tag’s memory and
sends this information whenever the reader requests them. Researchers have proven that the
Electronic Product Code (EPC) Class-1 Generation-2 (C1G2) specification has critical security
problems. In this paper, we proposed a new ultra lightweight mutual authentication scheme to
overcome weakness in an EPC C1G2 Protocol. We only use XOR operation and appropriate
Non- Linear Feedback Shift Register (NFSR) to accomplish high security. Security analysis
demonstrates that our protocol will offer numerous privacy properties and avoid suffering from
different kinds of attacks, including tag anonymity, reader privacy, transfer secrecy, tag,
location protection and mutual authentication, replay attack etc. The proposed scheme was
simulated using the ISE simulator and synthesized using Xilinx synthesis technology. The
proposed method was implemented on FPGA.
Contribution-enabled Congestion-aware Scheme for P2P Real-time Multimedia Streaming
Systems
Mr. Cheng-Yun Ho, Ming-Hsiang Huang, and Chien-Chao Tseng
Department of Computer Science, National Chiao Tung University, Taiwan
In this article, a contribution-enabled congestion-aware (CECA) scheme is proposed to
enhance the fairness and efficiency of content distribution, and improve the entire bandwidth
utility for mesh peer-to-peer (P2P) real-time multimedia streaming systems. This is because the
mesh P2P streaming system outperforms others in many aspects, but most content distribution
mechanisms use only one of upload bandwidth and link latency as a factor that malfunctions
the reward and punishment scheme. Besides, their congestion controls partially or mostly rely
on the transport layer protocol such as transmission control protocol (TCP). Hence, the CECA
dynamically adjusts a receiver peer’s content window size (CWS) based on the contribution
and packet loss rate of the receiver peer. Furthermore, the CECA is implemented in NS2 and
experimental results show that the CECA could at the most shorten the receiving time about
20.78%, 32.26%, 30.74%, and 26.18%, and improve the entire performance about 11.42%,
18.87%, 14.55%, and 14.19% at the most, when it compares with the BLACE, the
Coolstreaming, the Coolstreaming with bandwidth preference, and the Coolstreaming with
latency preference, respectively.
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A Hybrid Two-Stage Sweep Algorithm for Capacitated Vehicle Routing Problem
Meng-Hui Chen, Ching-Ying Chiu, Pei-Chann Chang, Sivachandra Prabhu Annadurai
Yuan Ze University, Taiwan
Capacitated Vehicle Routing Problem (CVRP) is a variant of Vehicle Routing Problem (VRP),
where CVRP is only considered the capacity restrictions, and the object is to minimize the cost
of the vehicles serve all customers. In this study, we proposed an approach which is hybrid
two-phase sweep algorithm (SA) and greedy search for solving CVRP. At the first stage of SA,
all customers are clustered by SA and define each cluster as a block. The second stage is to
reconstruct each neighbour clusters based on the first stage. Then the greedy search is applied
to minimize the cost of each vehicle. Finally, the computational result on standard instances
show the proposed approach is effective.
A Hybrid Edge Recombination Approach to solve Price Collecting Vehicle Routing Problem
Anurag Tiwari, Dr. Gouthaman Elangovan, Sivachandra Prabhu Annadurai , Pei-Chann
Chang
Yuan Ze University, Taiwan
In this paper, we consider a Prize Colleting Vehicle Routing Problem (PCVRP). Prize
collecting Vehicle Routing Problem is a Variant of Vehicle routing Problem. One of the major
concerns of the Prize collecting Vehicle routing problem is that all customers need not to be
visited compulsory, but prize must be collected from each customer visited and a penalty has to
be paid for every unvisited customer. To guarantee good customer satisfaction, the demand of
all visited customers should reach a pre specified value. The objective of this paper is
minimization of total distance and total cost of schedule by maximizing the total prize
collected by each customer. We have proposed a Hybrid edge recombination approach to solve
the PCVRP. To avoid the bias we compare the result with other well know evolutionary
algorithm. Computational result shows that the proposed methodology has the promising
result.
Method and Simulation for Spacecraft Clock Correction Based on X-ray Pulsars Signal
Mr. Sun Chen, Assoc. Prof. Gui Xianzhou,and Huang Senlin
College of Aerospace Science and Engineering, National University of Defense Technology
X-ray pulsar-based spacecraft navigation comes to be a new kind of autonomous navigation
technology with high potential, for the advantages of high reliability, good autonomy, high
precision and wide applicability. Timing, determination of position and attitude are main
prospects of using X-ray pulsars [1, 2]. To realize the pulse signal timing, in this paper, a
Phase-Locked Loop circuit for tracking pulsar signal frequency is designed; PLL is built in the
Simulink environment and tested by using simple pulse signal to get circuit parameters with
good track effect. The Crab Nebula pulse profile, which is used as the simulation signal source,
is modelled by using the mathematical method [3]. The simulation results show that the PLL
circuit designed in the paper can track the frequency of pulse signal precisely and can be used
for spacecraft clock correction.
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A Steady Tracking Technology Adopted to Fast FHBPSK Signal Under Satellite Channel
Prof. Guo SuLi ,Wang XiDuo, Xia Shuangzhi
The 54th Research Institute of China Electronics Technology Group Corporation,
Shijiazhuang, HeBei, 050081, China
In order to survive under the conditions with great jamming and interference, fast frequency
hopped signal are employed in satellite communication system. This paper discusses the
nonlinear phases induced by the equipment and atmosphere, and their influence on the
FFH/BPSK tracking loop. Two methods are developed including compensating phase which is
based on channel estimation and compensating Doppler frequency based on velocity
normalization. Simulation results for a real circuit with proper parameters shows that the
degradation due to the demodulation of frequency-hopped is only a fraction of one dB in an
AWGN environment under satellite channel.
A Community-based Data Dissemination Scheme in Opportunistic Networks
Chun-Chih Lo, I-Hsun Chuang, Pey-Wen Lai, Mr. Bing-Jie Guo and Yau-Hwang Kuo
Department of Computer Science and Information Engineering, National Cheng Kung
University, Tainan, Taiwan
In opportunistic networks, data are often delivered by dissemination-based routing approaches
using the store-carry-and-forward concept. However, the heavy overheads incurred by these
approaches lead to inefficient data delivery. Generally, users in an area usually demand similar
data, called “locality of demand”, and this area is referred to as a community. Based on such
property, this paper presents a community-based data dissemination (ComD) scheme to
improve the data delivery efficiency in the opportunistic network. By delivering data to
appropriate communities, users can obtain what they are actually interested in. Moreover, the
ComD also uses the cooperative caching technique to reduce transmission redundancy. To
optimize system utility, the proposed delivery model is formulated as a multiple knapsack
problem to determine which data should be carried, and a greedy-based method is adopted to
reduce the computational complexity. Simulation results show ComD can significantly
improves the system utility and delivery rate under various situations.
An Integrated Secure Inter-mobility IPv4/IPv6 Address Translation Architecture for Corporate
Networks
Ms. Amutha J and Albert Rabara S
Joseph College, India
Next Generation Networks (NGN), the heterogeneous all-IP model with inherent capacity of
providing next generation services as Always Best Connected (ABC), Anytime Anywhere with
seamless mobility meriting the motto ‘All over IP and IP over All’ is effectively realized in
IPv6 to supersede the current IPv4 protocol. Several initiatives have been made by researchers
to integrate secure, inter-mobility and translation architecture together. But, not much progress
has been reported in recent past. Hence, in this research, an Integrated Secure Inter-Mobility
IPv4/IPv6 Address Translation Architecture for Corporate Networks has been proposed to
achieve secure communication, inter-mobility between IPv4 and IPv6 networks and IP address
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translation with an IPv4/IPv6 Enabled Gateway Translator (IP46EGT). Network performance
is evaluated and the generated results are tabulated and graphically presented.
AS-aware Relay Selection Mechanism for Multiparty Streaming Service in Overlay Network
Mr. Cheng-Yun Ho, Jyun-Chen Huang, Li-Hsing Yen, and Chien-Chao Tseng
Department of Computer Science, National Chiao Tung University, Taiwan
It has been shown that relay nodes can improve the quality of streaming data delivery in an
overlay network. Therefore, many researchers have proposed methods for relay node selection.
However, existing methods have some issues, such as scalability, long service start-up time,
and not on multiparty service. In this paper, we propose an AS-aware relay selection (ASRS)
mechanism to enhance the efficiency of multiparty streaming service in overlay networks. We
verified and evaluated ASRS using ns2 network simulator. The experimental results show that
ASRS has a short relay selection time. It can also reduce the bandwidth need of multipoint
control unit (MCU) effectively so as to supports more users.
Role of Body Area Sensor Networks in Smart Health Care
Debasis Das and Ms. Neelanjana Basu Roy
NIIT University, India
The term “computer” or “PC” has never yielded another term “personal”. It is just regarded as
a machine with inputs from human beings giving required outputs. However the term or the
budding field of Body Area Networks gives new meaning or leverage now to the term
“personal” in PCs. In short, this wireless technology leverages wireless communications
protocols allowing low-powered sensors to communicate with one another and transmit data to
a local base station and to remote places like hospitals. This paper on Wireless Body Area
Networks will present a detailed discussion on the various applications of WBANs in smart
healthcare systems, its history of development, advantages, disadvantages and the future
prospect and scenario of this system. We will also highlight project performed earlier that
helped WBANs to provide long-term healthcare monitoring. Our main aim in this paper, is to
understand one of the major applications of Body Area Sensor Networks, termed as “Amplifier
Ear” which helps people suffering from auditory problems to function properly.
- 32 -
Venue: Room B
Chair:
Time: 15:45pm-19:30pm
Optimal Tuning of Scaling Factors and Membership functions for Mamdani Type PID Fuzzy
Controllers
Ana Sebastião, Catarina Lucena, Luí
s Palma, Alberto Cardoso and Senior Prof. Paulo Gil
Coimbra University, Portugal
This
study
addresses
the
problem
of
tuning
Mamdani-type
fuzzy
Proportional-Integral-Derivative controllers by solving a constrained nonlinear optimisation
problem. Two different schemes are discussed. One considers merely the scaling factors
optimisation, while assuming the membership functions width unchanged. In second
methodology both scaling factors and membership functions width adjusted. The cost function
under minimisation is chosen as the closed loop performance index, with the system dynamics
described by a nonlinear model. In addition, a set of constraints to the optimisation problem are
taken into account, namely bounds on scaling factors, control actions and also on the system
outputs. For the second approach, extra constraints on membership functions width are also
included in problem formulation. Experimental results carried out on a Multi-Input Multi-Output
benchmark system shows the out-performance of considering the optimising of both scaling
factors and membership function widths.
Flexible Development Environment for Educational Robotics
Mr. Christoph Krofitsch, Wilfried Lepuschitz, Markus Klein, Gottfried Koppensteiner
Practical Robotics Institute Austria
Robotics is considered to be a powerful tool for teaching STEM especially when employing
white-box platforms to build and program robots. In this context, programming environments
should be simple and understandable for increasing the learning success and for easing the entry
for teachers with non-informatics background. Furthermore, many robotics applications can also
benefit from flexibility in the program deployment in contrast to the usual
code-compile-download paradigm. To address these issues, this paper presents a flexible
programming environment based on a layered robot control architecture, which involves the
usage of mobile devices. Source code created on a smartphone or tablet can be downloaded to
the robot controller, which organizes the programs having on-board compilation and execution
environments. Besides, a versioning system adds to the comfort. The presented approach enables
students to intuitively handle their robots, but can also be applied in more sophisticated
scenarios where module-based flexible programming is required.
Touching an Android Robot: Would You Do It and How?
Dr. Kerstin Sophie Haring, Katsumi Watanabe, David Silvera-Tawil, Mari Velonaki and
Yoshio Matsumoto
The University of Tokyo, Japan
- 33 -
As the presence of robots in everyday life becomes more common, it is expected that
interactions between humans and robots will include the modality of touch. To date, however,
little research has been conducted on tactile interactions between humans and anthropomorphic
robots. This study investigates human induced tactile interaction with an android robot. To
facilitate data analysis, existing touch dictionaries were revised and adapted for the specifics of
human-android interaction. By measuring the participants' personality traits and their perception
of the robot, it was found that some tactile gestures are related to participants’ personality traits,
such as neuroticism and extroversion, and others to robot attributes such as anthropomorphism
and animacy. To the best of our knowledge this is the first study to report on how people touch
an android robot, and the correlation that exists between the tactile gestures used and the
participants' personality traits. Possible implications are discussed.
A Decentralized Interactive Architecture for Aerial and Ground Mobile Robots Cooperation
Dr. El Houssein Chouaib Harik, François Guerin, Frederic Guinand, Jean-François Brethe,
Herve Pelvillain
University of Le Havre, France
This paper presents a novel decentralized interactive architecture for aerial and ground mobile
robots cooperation. The aerial mobile robot is used to provide a global coverage during an area
inspection, while the ground mobile robot is used to provide a local coverage of ground features.
We include a human-in-the-loop to provide waypoints for the ground mobile robot to progress
safely in the inspected area. The aerial mobile robot follows continuously the ground mobile
robot in order to always keep it in its coverage view.
Method for Vectorial Robot Movement Determination Enabling Accuracy Improvements
Mr. Arnd Buschhaus, Nicky Apel and Joerg Franke
Institute for Factory Automation and Production Systems, Germany
Promising approaches for robot accuracy improvements belong to the visual servoing methods.
These methods comprise closed-loop control systems, which utilize sensors to guide the robot
relative to visible features of a work-piece. However, the known methods show limitations
regarding their usability for highly accurate applications or tasks without a predetermined
process pathway. To overcome this problem, at FAPS a system for high-speed monitoring of the
work-piece’s movement is investigated. The system enables a closed-loop control of the robots
motion, if a deviation between actual and planned movement is determined. For the actual
movement determination, a highly efficient and accurate image data processing system, based on
a vectorial movement determination of fiducial markers is developed. In this context, a highly
efficient and geometrical accurate actual state determination constitutes a significant challenge.
Experiments show, that the system allows a position determination in an area of ten microns at a
frequency faster than 500 Hz, thus enabling a reactive robot control and accuracy improvement.
A New Approach to Inverse Kinematic Solution for a Partially Decoupled Robot
Assoc. Prof. Lei Zhang, JunQin Zuo, Xinguo Zhang, Xingtian Yao, Liguo Shuai
Nantong University, China
- 34 -
Conventional D-H model based inverse kinematic solution algorithms have to hypothesize that
d6  0 at the end of the robot hand, or the joint variables of D-H based kinematic equations can
hardly be isolated to be solved. In practical application, d6  0 usually occurs, hence it is
required for supplemental transformation between the last frame of the D-H models and real
operation frame, which decreases the efficiency. In this paper, a new inverse kinematic solution
without the hypothesis of d6  0 is proposed. We found that the joint variables of the partially
decoupled robot can be separated without great difficulty even though d6  0 . The new
approach uses a new multiplication sequence of the inverse matrix for solving the variables of
the kinematic equation of the robot. The inverse solution process is straightforward and
computationally cheap. Last, some exemplifications are given to valid the accuracy of the
proposed approach.
Sensors Fault Diagnosis in Autonomous Mobile Robots Using Observer - Based Technique
Assit.Prof.Dr.George K. Fourlas, George C. Karras, Kostas J. Kyriakopoulos
Department of Computer Engineering, Technological Educational Institute (T. E. I.) of Central
Greece, Lamia, Greece
This research investigates a sensors fault diagnosis in autonomous mobile robot. Through this
study we use the observer – Kalman filter identification technique. According to this observer based method, the experimental input-output data are being exploited for system identification.
The motive is to design observers exclusively for each sensor of the system that allows
generating residuals. The research goal is to provide early sensors fault diagnosis. In order to
prove the efficacy of the proposed method, we investigated different type of faults and an
experimental procedure was carried out using a Pioneer 3AT mobile robot.
Improving IMC Method for BLDC Speed Control by Using Steady-state DC Model
Hoang-Hon Trinh and Mr. Duc-Thinh Le
Ho Chi Minh city University of Technology, Vietnam
This paper describes an improved method for controlling speed of brushless DC motor (BLDC).
Internal model control (IMC) method is used to achieve the good characteristics such as
robustness, easiness, flexibility and stability. Here, this novel idea uses the steady-state DC
model instead of BLDC’s or general DC’s to reduce large amount of calculation but it still
achieves positive features of IMC method. To challenge the robustness, the proposed method is
performed with not only nominal parameters but also large change of plant’s parameters. On
MatLAB Simulink, the obtained results show that the output signals well respond the referred
signals. To be more objective, our results are compared with 2 previous approaches.
Applicability of Stereo High Speed Camera Systems for Robot Dynamics Analysis
Mr. Kai Wu, Jan Brueninghaus, Benjamin Johnen and Bernd Kuhlenkoetter
Institute of Production system, TU-Dortmund, Germany
Industrial robots are widely used in industrial area. Requirements for more accuracy and stable
performance are raised in the applications. Especially when the robot executes machining task,
the dynamic performance in the machining process has influence on the work piece quality. This
- 35 -
article utilizes a high speed camera measuring system to analyze the robot motion for the sake of
process improvement. Linear paths with different accelerations are programmed. The position
distributions in 3D space are presented and the path linearity is discussed. In addition, the path
velocity and acceleration are obtained. The differences of the running velocity to programmed
velocity are given. Changes of the accelerations are also described. According to this
application, Characteristics of the measuring system are introduced. Evaluation is made based on
the experiment results.
Two Channels SEMG Controller Unit for Electric Hand Gripper: Amputee Hand Training
Device
Chanchai Supakitamonphan, Nutchanat Kitsongsang, Praetana Poohrungrueang, Thanapong
Chaichana, Ms. Praetana Poohrungrueang
Rangsit University, Thailand
This research aims to the design and construct of two channels SEMG controller unit of an
electric gripper hand for amputee hand training device to use before prosthetic hand. This
project has adopted the principles of physiology, biomedical electronics and microcontroller. The
designed and constructed the prototype consists of three main parts; 1) detector and signal
conditioner part, 2) signal control and processing part using microcontroller ATMEL 328 on
board (Adriano Pro Mini 328) and 3) electric gripper hand drives with DC servo motor. The
results of functional testing by was done by picking up objects, which to performing success of
correction and precision grasps of cuboidal and cylinder, rotate a wrist hand in 30 times found
that the percentage accuracy was 90% and 83% respectively. The production cost of design and
construct the prototype was 7,850 baht.
Versatile Climbing Robot for Vessels Inspection
Mr. Mohamed Gouda Ramadan Alkalla, Mohamed A. Fanni, Abdel-Fatah Mohamed
Egypt-Japan University for Science and Technology, Egypt.
This work focuses on proposing and designing a new climbing robot to explore the interiors of
industrial vessels and enables a human outside the vessels to implement required regular
inspection tasks efficiently. There are two main adhesion systems in the literature: magnetic and
air suction systems. The magnetic system climbs surfaces made of ferromagnetic materials only,
while air suction system cannot handle irregular surfaces due to possible seals damage. Opposite
to previous climbing robots, the proposed robot here can climb and navigate vessels made from
different materials besides handling possible irregular surfaces during inspection. Its main task is
visual inspection of welds and any critical spots inside these vessels. The novelty of this robot
comes from utilizing a hybrid actuation system. This hybrid actuation system consists of
upturned propellers fixed on mobile robot and motorized wheels of the mobile robot. The
pressure generated from the upturned propellers increase the friction force between the wheels
of the mobile robot and the wall. The wheels’ motors generate the required torque either to fix
the robot in any position or to move it to any place. Since the motion of the robot comes mainly
from the motorized wheel, the stability of the system during navigation is guaranteed. Size and
topology optimizations are carried out to achieve optimum design of the proposed robot.
Simulation results of the designed robot using ADAMS software prove its feasibility.
- 36 -
Prototyping a Simple Small Smart Robotic Arm – Manipulator
Dr. Meteb Altaf, Dr. Eball Ahmad, Abdulmohsin Jarwali, Faisal Al-Ateeq, Faisal Alturki
King Abdulaziz City for Science and Technology (KACST),UAE
In many experiments, it is frequently necessary to be able to perform several types of
applications using simple manipulators for pick and place as in the case of sample preparation
for different types of experiments. This paper describes a simple small and smart manipulator
prototype using 3D printer which overcomes the need for small manipulations and handling
applications. This manipulator will use pizo electric materials to perform the required operation.
This manipulator will have only two links with small gripper and limited motion. The design
will describe the motion and the required parts to get this small simple smart manipulator
working.
Mobile Robot Path Planning for Circular Shaped Obstacles Using Simulated Annealing
Mr. Sikandar Hayat, Zareena Kausar
Air University, Islamabad, Pakistan
Many heuristic methods are used for path planning by researchers in the past and contemporary
work but due to easy implementation, convergence properties, capability of escaping local
optima and the use of hill-climbing moves have made simulated annealing (SA) a good choice
for path planning. In this research the simulated annealing algorithm is used to obtain a
collision-free optimal path among fixed circular shaped obstacles for a mobile robot. A feasible
path is computed by series of points in cells generated between start to goal point. The
effectiveness of the proposed algorithm in different environments is shown through simulation
results.
Mobile Robot Path Planning in Environments Cluttered with Non-Convex Obstacles using
Particle Swarm Optimization
Mr. Muhammad Shahab Alam, Muhammad Usman Rafique
Air University, Pakistan
Generally workspaces of mobile robots are cluttered with obstacles of different sizes and shapes.
Majority of the path planning algorithms get stuck in non-convex obstacles pertaining to local
minima. Particle Swarm Optimization (PSO) is by comparison simple and readily intelligible yet
a very powerful optimization technique which makes it an apt choice for path finding problems
in complex environments. This paper presents a particle swarm optimization based path
planning algorithm developed for finding a shortest collision-free path for a mobile robot in an
environment strewed with non-convex obstacles. The proposed method uses random sampling
and finds the optimal path while avoiding non-convex obstacles without exhaustive search.
Detailed simulation results show the functionality and effectiveness of the proposed algorithm in
different scenarios.
- 37 -
An Investigation on the Application of Fuzzy and PID Algorithm in the Two Wheeled Robot
with Self Balancing System Using Microcontroller
Mr. Adik Susilo Wardoyo, Hendi S, Darwin Sebayang, Imam Hidayat, Andi Adriansyah
Universitas Mercubuana, Indonesia
The Fuzzy logic combined with PID control is designed to implement the effect of a disturbance
force varying in magnitude, position, and duration to optimize the two wheeled and
self-balancing robot. Matlab software was used to obtain Simulink-simulation of the experiment
process. The simulation results shows that PID parameters that obtained from the use of
auto-tuning is Kp = 16.60, Ki = 8.47, and Kd = 8.90. The simulation results of Fuzzy and PID
combination shows that the error can be reduce approximately around 60 %. It is indicated that
the Fuzzy logic with PID was better to reduce error in Two Wheeled and Self Balancing Robot
than using Fuzzy logic.
Kinematics of Parallel Mechanism Based Robot Manipulator with Passive Joints Variables
Assoc. Prof. J.M.Prajapati
The M S University of Baroda, India.
Because of potential benefits like, structural rigidity, good dynamic performance and positioning
accuracy, parallel mechanism based robot manipulators became more popular over the serial
mechanism based robot manipulators. The forward kinematics of parallel mechanism is complex
in comparison to the serial mechanism. This paper presents the forward instantaneous
kinematics of a six degree of freedom parallel robot manipulator. Three non linear points are
considered on the end effector. The presented method is based on the velocities of these points.
A numerical example is solved to demonstrate the solution process.
- 38 -
Venue: Room C
Chair:
Time: 13:00pm-15:30pm
Anthropometric Proportions Estimation Using recCAL in Multi-Camera Environment
Mr. O. Kainz, D. Cymbalák, and F. Jakab
Technical University of Košice, Slovakia
In this paper, a new technique for anthropometric proportions estimation using multi-camera
environment is presented. We refer to this system as a recCAL. System is represented in a form
of a 3D model and as well real-world physical model, both used as a reference model/object in
the size estimation process. Further anthropometric proportions of human body and face are
utilized to provide an estimate of real size from series of images as captured by multi-camera
system. recCAL has potential applications in variety of areas where anthropometric
proportions or size of other objects may be useful.
Real-Time Automatic Selection of the Best Shot on Object in 4K Video Stream Based on
Tracking Methods in Virtual Cropped Views
Mr. D. Cymbalák, O. Kainz, and F. Jakab
Technical University of Košice, Slovakia
In this paper, a novel approach for real-time automatic object tracking from multiple cropped
views using 4K video capturing device is presented. System itself is based on TLD object
tracking algorithm. As a first ultra-high definition video and selected object tracking method is
analyzed. Subsections of 4K video output from capturing device are utilized to create new, so
called “virtual copped views”. The developed model was rudimentary implemented and tested
in the laboratory conditions and it is expected to be used in the real conditions.
Video based in-space orientation model for artificial intelligence systems
Dr. Jaroslav Lamer and Frantisek Jakab
Technical University of Kosice, Slovakia
Many of the currently solved problems aim to map the real world into the virtual space. In this
article we discuss a new model, which may be used as basis for in space orientation in artificial
intelligence systems, such as robots, control mechanisms, vehicles, autonomous devices etc.
Experimental results of human orientation in workspace experiments are introduced. Another
part of article presents practical evaluation and precision tests of experimental prototype
implementation. Comparison of real coordinates and model calculations are represented in
graphical form.
- 39 -
Deep Learning for Reducing Dimensionality of Graph Data
Mr. Young Joon Park, Seoung Bum Kim
Korea University,Republic of Korea
Analysis of graph data has become an important research topic recently because of its
numerous applications in social networking, metabolic networks in biology, community
detection, and computer networks. However, learning from graphs is very difficult because of
their complex structure with high dimensionality, resulting in high-level abstractions in data.
Therefore, dimensionality reduction is critical in graph data. In this study, we propose to use a
deep learning algorithm that has the capability of dealing with high-level abstractions for
dimensionality reduction of vertex-multi-labeled graph data. Experiments on simulated
datasets were conducted to compare the performance of deep learning with that of principal
component analysis and locally linear embedding, which are existing unsupervised feature
extraction methods. The experimental results showed that the deep learning outperformed its
competitors in terms of reduced dimensionality and robustness.
Analysis Electromyography on Computer Interaction Devices to the Riska of Carpal Tunnel
Syndrome
Dr. Hartomo Soewardi, Ms. Annisa Riska Anugraheni, Nella Shabrina
Islamic University of Indonesia, Indonesia
Use of interaction devices on human-computer system may cause muscolusceletal disorders on
hands and wrists. The paper presents an Electromyography study to evaluate the hand muscle
activities when it is interacted with the computer using mouse, keyboard and joystick. These
muscles investigated are flexor pollicis brevis, flexor digitorium superficiallis and abductor
pollicis brevis. Average of Root Mean Square (mRMS) signal was used as parameter
measurement. Experimental study was conducted in ergonomic laboratory where 8 females and
7 males student university were participated in this study to complete virtual task for 15
minutes. Virtual manufacturing robots system was used as case study. Non parametric
statistical method was conducted to test the hypothesis. The result of electromyography shows
that the strongest muscle contraction of mRMS signal on m.flexor pollicis brevis is 275.4 mV
that it was found in the joystick devices, while 72 mV mRMS was found in the keyboard and
53.4 mV in the mouse. In the second muscle, m.flexor digitorium superficiallis, the strongest
muscle contraction of mRMS signal 53.13 mV was found in the keyboard, then 48.9 mV was
found in the joystick and the weakest is 34.86 mV was found in the mouse. For the third
muscle m.abductor pollicis brevis, the strongest muscle contraction of mRMS signal was found
in the joystick it is 252.67 mV then in the keyboard is 130.47 mV and weakest is 60 mV in the
mouse. Statistical test shows that there were significant differences in muscle contraction of
flexor pollicis brevis muscle (p = 0.000) and abductor pollicis brevis muscle (p = 0.002). But in
muscle contraction of flexor digitorium superficiallis does not indicate a significant difference
(p = 0.184). It concluded that the highest risk of carpal tunnel syndrome was found in the
joystick on flexor pollicis brevis muscle and abductor pollicis brevis muscle. Meanwhile on
flexor digitorium superficiallis muscle contraction showed that the highest risk of carpal tunnel
syndrome was found in the keyboard devices.
- 40 -
Performance Comparison of Feature Selection Methods
Ms. Thu Zar Phyu and Nyein Nyein Oo
Yangon Technological University (YTU),Republic of the Union of Myanmar
Feature Subset Selection is an essential pre-processing task in Data Mining. Feature selection
process refers to choosing subset of attributes from the set of original attributes. This technique
attempts to identify and remove as much irrelevant and redundant information as possible. In
this paper, a new feature subset selection algorithm based on conditional mutual information
approach is proposed to select the effective feature subset. The effectiveness of the proposed
algorithm is evaluated by comparing with the other well-known existing feature selection
algorithms using standard datasets from UC Iravine and WEKA (Waikato Environment for
Knowledge Analysis). The performance of the proposed algorithm is evaluated by
multi-criteria that take into account not only the classification accuracy but also number of
selected features.
Mobile Based Palmprint Recognition System
Prof. Li fang and Neera
Nanyang Technological University, Singapore
Personal identification and verification are playing more and more important role in the
society. Traditional authentication method such as password and smart card, often cannot meet
today’s security as they can be easily forgotten, lost or stolen. Biometric technology has
appeared as a new solution to these problem. Among all the variable biometric technologies,
automatic palmprint verification is an important complement to biometric authentication. This
paper describes the adopted mobile based palmprint recognition system.
Pineapple Quality Grading Using Image Processing and Fuzzy Logic Based on Thai
Agriculture Standards
Assit.Prof.Dr.Bandit Suksawat and Preecha Komkum
King Mongkut’s University of Technology North Bangkok, Thailand
This research aimed to create a tool for pineapples quality grading according to the standard
weight and size of Thai Agricultural Commodity Food Standard. The standard weights of
pineapple are divided into 10 levels (A-J) and the standard sizes of pineapple are categorized
into two classes (class I and class II). The developed tool consists of hardware components and
a grading software program. The control light source box was constructed for camera and load
cell installation to capture pineapple image and measure pineapple weight, respectively. The
obtained image was sent to software program to change colors of the image into gray scale and
to reduce noises in the image. The clearly edges of the image were employed to compute size
of a pineapple and the data were transferred to fuzzy system. The inputs of fuzzy system
determined the size and weight of pineapple which used to establish twenty fuzzy rules. The
experiments performed by random selection size and weight of three pineapple kinds including
Nanglae, Sriracha, Phuket. The experimental results reveal that classification of pineapple by
the created tool exhibited high accuracy of size and weight detection equaled 87.5%. The
average relative error performed 2.30% and 5.24% of size and weight, respectively.
- 41 -
Ultrasonic Sensor based Approach for Identifying the Camera ROI
Mr. Pradeep S., Shashi Kumar M.S., Avinash.N
Wittybot Technologies/Jain University, India
Image segmentation and classification is a tough when there are partial occlusion, reflection,
and shadows in the image which increase false alarms. This paper describes the method for
defining regions of interest in an image using ultrasonic sensors data which will be further used
for image segmentation and classification. Sensors mounted in the view of the camera are
calibrated for their position with respect to the camera to the relative distance between the
human and robot. Depending on these calibration parameters, the image is divided into number
of regions that is equivalent to number of sensors.
An Implementation and Pragmatic Analysis of the Digital Image Forgery Detection Schemes
Dr. Hansoo Kim and Joong Lee
National Forensic Service, The Republic of Korea
We select the most effective and remarkable schemes among the state-of-the-art digital forgery
detection schemes and implement a system based on these schemes. With that, we compare the
advantages and limitations of each scheme by experimental analysis. As a result, the detection
rate of the schemes is dependent of the parameters of the schemes and the forgery method of
the image, although the schemes succeed to detect most of the forged images. Also, a number
of forged images are not detected which are off the detection points of the schemes.
Building Detection in Terrestrial Images
Mr. Teerapat Chaloeivoot and Suebskul Phiphobmongkol
Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University,
Bangkok, Thailand
This paper presents a method to detect buildings in terrestrial images. High resolution
terrestrial images are normally taken from land survey vehicles. These images and other
surveyed data along roads are needed by many agencies that require new data as time passes
by. Land use in rural area is an example that needs information about buildings and can benefit
from terrestrial images. The proposed method was aimed to detect buildings in terrestrial
images to benefit the above needs. The method consists of two stages. The first stage removes
unwanted objects, performs image segmentation, and finds regions of interest. Image
processing techniques such as greenness extraction, sky detection, color segmentation, color
detection, shape detection are used. The second stage performs building detection. It includes
the possible building parts detection, projection profiles finding, and the building
determination. The method can identify a partial building if the whole building is not shown in
an image. The proposed method was tested on 936 images (332 images with buildings and 604
images without buildings). The images were from Google Street View. The accuracy was
determined by human inspection. The method gave promising results with an average accuracy
of 82.5%. Positive faults were 4.7% average.
- 42 -
Venue: Room C
Chair: Dr. Girija Chetty
University of Canberra, Canberra, Australia
Time: 15:45pm-19:30pm
Fast Range-based Localization of Targets using Particle Swarm Optimization
Ms. Vidya Viswanathan, Soumya Jana, Shanti Swarup
Indian Institute of Technology Hyderabad, India
Target localization is an active area of research which has several applications in the fields of
robotics, defense and geology. In this paper, our goal is to localize a target based on range
measurements obtained using a network of sensors scattered in the 3D continuum. To this end,
we make use of the biologically inspired particle swarm optimization (PSO) algorithm. In this
context, we propose a novel modification of PSO algorithm that leads to faster convergence, and
eliminates the flip ambiguity encountered by coplanar sensors. Our initial results over several
simulation runs highlight the accuracy and speed of the proposed approach. This paper also
proposes a statistical approach to optimally place a given set of sensors such that the localization
error is minimized over certain trajectories of the target. The optimal locations of the sensors are
estimated using the Cramer-Rao lower bound (CRLB) as the cost function.
Memory Allocation Vulnerability Analysis and Analysis Optimization for C Programs based on
Formal Methods
Dr. Hui Deng, Hui Liu, Ying Guo and Baofeng Zhang
China Information Technology Security Evaluation Center, China
The information security problems caused by the software vulnerabilities have become more and
more complex. Among these vulnerabilities, the ones existing in memory allocations appear to
be difficult to diagnose due to the absence of an appropriate method. In order to solve this
problem, we introduce a methodology including four novel frameworks in this paper. The
formalization for a program called algebraic transition system is proposed first. It aims to
transform the data exchange process and its security attribute of a program into algebraic
systems which are able to be considered as objection functions and constraint conditions,
respectively. Based on the systems, the behavior and structure of formalization are optimized
with bisimulation to reduce the computing cost in the subsequent processes. The determination
of bisimulation is implemented by numerical and symbolic computation. Finally, the specific
detection of the memory allocation vulnerability in the C program can be changed into a
constraints solving problem called Max function which is able to be resolved with the filled
function method. The experiment results represent that our approach is feasible.
High Dimensional Data Mining Systems by Kernel Orthonormalized Partial Least Square
Analysis
Prof. Shian-Chang Huang, Nan-Yu Wang, and Tung-Kuang Wu
National Changhua University of Education, Taiwan
- 43 -
Mining high-dimensional business data is a popular and important problem. However, there are
two challenges for mining such data, including (1) the curse of dimensionality and (2) the
meaningfulness of the similarity measure in the high dimension space. This paper proposes a
novel approach to overcome the problems, which builds a generalized multiple kernel machine
(GMKM) on a special subspace created by the kernel orthonormalized partial least square
(KOPLS). GMKM takes products of kernels-corresponding to a tensor product of feature spaces.
This leads to a richer and much higher dimensional feature representation. Therefore, GMKM is
powerful in identifying relevant features and their apposite kernel representation. KOPLS finds a
low dimensional representation of data, which uncovers the hidden information and
simultaneously respects the intrinsic geometry of data manifold. Our new system robustly
overcomes the weakness of traditional multiple kernel machines, and outperforms traditional
classification systems.
Analysis of Two Different Sequences of Old Arena Viruses by Decision Tree, Apriori Algorithm,
and Shannon Entropy
Ms. Yuree Chung, Yujin Moon and Taeseon Yoon
HAFS, The Republic of Korea
LASV (Lassa virus) and LCMV (Lymphocytic Choriomeningitis virus), which show the
different mortality in spite of same symptoms and origin, are introduced into the human
population by rodents which shed the virus in urine and droppings. Direct contact with these
materials, touching virus-infected objects, eating contaminated food, or exposure to open cuts or
sores develop infection. In this paper, we analyzed 4 different proteins of LASV and LCMV:
glycoprotein, Z protein, nucleoprotein, and L protein. Also, we investigated the similarities
between them based on the frequency of amino acids by decision tree. Furthermore, we look for
one amino acid’s frequency of relating rates to another amino acid to find the difference between
two viruses by Apriori algorithm.
A NoSQL Geo-data Solution for the Consumption of Services on the Web
Mr. P. Cau, S. Manca, R. Demontis, D. Muroni, C. Soru, L. Muscas, E. Lorrai and P. A. Marras
Center for Advanced Studies, Research and development in Sardinia (CRS4). Polaris, Pula
Web applications and portals are strategic gateways to deliver tools, data, computational
infrastructures and services over the Internet. Software and data interoperability is the key factor
to enable the integration of knowledge and share common objectives. Web applications are using
ever more big spatial data ecosystems that usually involve cross-border data flows and rely on
open Internet. Demand of web GIS based applications, in particular, shows a steady growth over
the last few years, indicative of a scenario where spatial-data infrastructures will be ever more
consumed by mobile and web applications. Management and analysis of large and growing
volumes of geo-data is challenging the scientific community without clear long term solutions.
Empowering Enterprise Storage of Future Datacenter – Hybrid Disk Drive Storage System
Development
Dr. Yonghong Wilson Wang, Chun Teck Lim, Kyawt Kyawt Khaing and Khai Leong Yong
Data Storage Institute, Singapore
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A hybrid disk drive consists of a small amount of non-volatile NAND flash memory as fast
storage media to complement the rotational magnetic recording disk, normally considered slow
but with large storage capacity. In this paper, we present the design and development work of
enterprise hybrid drive storage system for future datacentre. We also design a new type of
dynamic cache algorithms that can simplify and enhance conventional cache management
architecture. Evaluation with enterprise storage workloads shows that the average IOPS (I/O per
second) can be increased up to 300% and can outperform the IOPS of high speed enterprise SAS
(Serial Attached SCSI) drive for certain workloads. Another advantage of hybrid drive is power
saving, for which the power consumption can be reduced by more than 50%, compared with the
enterprise hard disk drive. We envision that hybrid disk drives can be a cost-effective
replacement for conventional high speed disk drive in enterprise storage systems that empower
datacenters with large storage capacities, higher performance and lower energy consumption.
Investigation into Interoperability in Cloud Computing: An Architectural Model
Ms. Susan Sutherland and Girija Chetty
University of Canberra, ACT, 2616
This paper presents an architectural model that enables the convergence of the interoperability of
Enterprise Architecture (EA), Service Oriented Architecture (SOA) and Cloud Services. As per
the reviewed literature by the authors, there is a lack of research in this space of cloud
computing. Hence the authors' research developed an innovative solution to provide a ‘plug and
play’ architectural model to seamlessly connect the enterprise systems to cloud within the
governance standards of enterprise architecture. The rest of the paper discusses the identified
research problem and articulates the developed model while validating the model with a few use
cases, and concluding that the research community could further validate the model with their
respective application use cases.
Adaptation of Distributed File System to VDI Storage by Client-Side Cache
Mr. Cheiyol Kim, Sangmin Lee, Youngkyun Kim, Daewha Seo
Electronics and Telecommunications Research Institute, The Republic of Korea
Distributed File system was widely used as a cloud computing backend storage with high
scalability, low cost, and reasonable sequential I/O performance. VDI I/O workload is mostly
composed of small random I/O and distributed file system does not have enough performance
for this I/O pattern. Compensating for this gap, we applied a cache using memory and SSD
(Solid State Drive) to distributed file system. This cache was implemented in the file system’s
client side. It uses memory as write cache and SSD as read cache with write-back policy for
minimizing the I/O response time. Based distributed file system was implemented on user-level
using Fuse (File system in User space) framework.
When the client-side cache was used, the file server which previously could not support even
1024 users was improved enough to support more than 3000 users. By applying the client-side
cache, it is possible to solve the performance drawback of the distributed file system used for
VDI storage.
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Comparative Analysis of Technical Methods for Detecting Software Thefts
Prof. Hyun-il Lim
Kyungnam University, Republic of Korea
Software plays an important role in current computing environments, and it is protected as
intellectual property of its author. However, the cases of software thefts are increasing every
year. To deal with the problem, there have been researches on detecting software thefts. In this
paper, we introduce technical methods for detecting software thefts, and compare characteristics
of the methods according to several performance evaluation criteria.
NVMFS: NVM-accelerated File System for Future Data Centre
Mr. Qingsong Wei, Cheng Chen, Jun Yang, Chundong Wang, Mingdi Xue
Data Storage Institute, Singapore
File system performance is dominated by metadata access. In this paper, an NVM-accelerated
file system (referred to as NVMFS) is proposed to optimize metadata access by exploiting the
persistency and byte-addressability of Non-volatile Memory (NVM). The NVMFS decouples
data and metadata access path, putting data on disk and metadata in byte-addressable NVM at
runtime. Thus, data is accessed in block from I/O bus and metadata is accessed in
byte-addressable manner from memory bus. Metadata access is accelerated and metadata I/O is
eliminated because metadata in NVM is not flushed back to disk anymore. A consistency
mechanism combining copy-on-write and transaction is introduced in the NVMFS. The NVMFS
is implemented in kernel on real NVDIMM platform. Evaluation results show that the NVMFS
is up to 9X faster than existing file systems.
Homomorphic Exclusive-Or Operation for Secure Deduplication
Dr. Yibin Ng, Shu Qin Ren and Khin Mi Mi Aung
Data Storage Institute, Singapore
Deduplication has been widely recognized as an essential method to save storage costs for
cloud-based storage providers such as Dropbox and Google Drive. To enable deduplication,
deterministic encryption schemes are used where the same ciphertext is always generated for the
same plaintext. This has the drawback of leaking information on equality of the underlying
plaintexts. Also, an attacker is also able to gain knowledge of the access patterns of other users
asking for the same file. As such, although data is stored securely in the cloud, information is
still leaked during the data upload and retrieval process. In this work, we propose the
homomorphic exclusive-or (XOR) encryption scheme to secure the data against plaintext
equality and access pattern leakage. All encrypted data is randomized by a XOR operation with a
random bit-string. This effectively protects data-in-transit against passive attack such as
ciphertext analysis due to the randomization.
- 46 -
Large Scale Hybrid Storage System
Dr. Haixiang Shi, Kyawt Kyawt Khaing, Donghong Wang
Data Storage Institute, A*STAR, Singapore
In order to tackle the big data storage problem, a petabyte storage system is proposed which
consists of multiple storage tiers. The proposed large scale hybrid storage system uses hybrid
storage including Non-volatile Memory (NVM), Solid State Device (SSD), Hybrid Drive disks
and conventional hard disks. Data placement, dynamic caching and metadata management
algorithms are proposed for this system. Furthermore, the proposed hybrid storage system is
used as a test bed to integrate with other research works including NVM File System (NVMFS),
Data Security and Encryption, and Hybrid File System (HybridFS), to show the performance of
the fully integrated storages system.
Distributed Metadata Search in the Cloud
Yang Yu, Dr. Yongqing Zhu, and Juniarto Samsudin
Data Storage Institute, A*STAR, Singapore
The excessively large amounts of data stored in clouds lead to a big challenge for users to access
and manage the data. And the corresponding metadata access likely becomes a severe
performance bottleneck. In this paper, we propose a distributed metadata search system for the
cloud. This system provides efficient index and search for multi-dimensional metadata. Our
system achieves optimized performance by improving K-D-B tree based index/search and
utilizing index partitioning techniques. Experiment results show that our system can perform
well in terms of memory utilization, search speed and scalability.
Secure Large Scale Shared Storage System
Mr. Rodel Miguel, Sivaraman Sundaram, Khin Mi Mi Aung
Data Storage Institute, Singapore
The integration of next generation NVM into storage network architecture requires redesigning
the current storage security infrastructure, to fully realize the performance potential of future
storage systems. As a minimum, the following three layers of security control architecture need
to be modified: credential management at application layer, access controls at system layer, and
secured ultra-bandwidth peripheral communication at hardware layer.
The main purpose of this paper is to redesign and develop storage security infrastructure to
support the future storage network architecture that is based on NVM technologies.
Regenerating-Local Reconstruction Codes for Distributed Storage Systems
Mr. Quanqing Xu, Hong Wai Ng, Weiya Xi and Chao Jin
Data Storage Institute, A*STAR, Singapore
In this paper, we propose Regenerating-Local Reconstruction Codes (R-LRC) and describe their
- 47 -
encoding and decoding techniques. After that, their repair bandwidths are investigated for
different failure patterns. We also explore an alternative of R-LRC, which gives R-LRC lower
repair bandwidth. Since R-LRC are extended version of Pyramid codes, optimization of repair
bandwidth of a single failure will also apply to R-LRC. Compared with Pyramid Codes,
Regenerating-Local Reconstruction Codes have two benefits. Firstly, in average, they use around
2:8 blocks in repairing 2 failures, while the Pyramid codes use about 3:7 blocks. Therefore, they
have lower IOs than Pyramid Codes. Secondly, when 2 failures occur at common block group
and special block group, they re-quire only Mk _(k2 + 1), which is lower compared with Mk _(k2
+ k2 )= M in Pyramid codes when k _ 2.
SELDAC: Software-defined storage based efficient load distribution and auto scaling in Cloud
Data Centers
Dr. Renuga Kanagavelu and Khin Mi Mi Aung
A*STAR, Data Storage Institute, Singapore
Cloud computing allows the cloud users to access the shared pool of configurable resources such
as compute, network and storage on-demand basis from the cloud Data Centers. Cloud storage
provides the storage resources to the cloud users over the network. The massive growth of cloud
data due to the applications such as video streaming, big data processing, social networking,
banking and scientific applications fueled the storage demand. An increase in storage demand
resulted in the expansion of the cloud storage with additional storage nodes. The expansion of
the cloud storage necessitates the migration of data across the storage nodes to keep them
balanced. Efficient management and migration of tera bytes or peta bytes of such cloud data
depends not only on the storage availability but also on the networking cost which is
proportional to the distance and the bandwidth requirement. In this scenario, software defined
environment opens up the new opportunities to orchestrate the network and storage resources
control strategies to provide an effective solution. In this paper, we present the software-defined
orchestration framework for efficient load distribution and auto scaling mechanism and shows
that it improves the overall efficiency in terms of latency and retrieval cost. We demonstrate the
effectiveness and the efficiency of the proposed mechanism using simulations.
- 48 -
Mr. Wei Gong
4399 Network Co., Ltd, China
Mr. Haigui Wu
4399 Network Co., Ltd, China
Mr. Zhaolu Xiao
4399 Network Co., Ltd, China
Mr. Bin Yang
4399 Network Co., Ltd, China
Mr. Govinda Ram PANERU
Ministry of Education, Kathmandu, NEPAL
Mr. Subhash PRAJAPATI
Ministry of Education, Kathmandu, NEPAL
Mr. Debasis Das
NIIT University, India
Prof. SeoungBum Kim
Korea University, Republic of Korea
Mr. Ji Soo Kim
Laboratory - Dependable Embedded Control Systems,Graduate School of Electronics
Engineering,Kyungpook National University(KNU),Korea
Mr. Lim Eng Chye Roy
Panasonic Industrial Devices Singapore, Singapore
- 49 -
Name
Adik Susilo Wardoyo
Amutha J
Annisa
Riska
Anugraheni
Arnd Buschhaus
Arpita Bhattacharjee
Bandit Suksawat
Bing-Jie Guo
Boyang Chen
Boyang Chen
ID
N3007
F076
Session
S4
S3
Page
38
31
EA3020
S5
40
N0025
N2007
N0029
F077
EA3005
EA3004
S4
S1B
S5
S3
S1B
S1A
34
18
41
31
20
16
Byung Do Chung
Chanhee Park
Chantach Luxnanan
Cheiyol Kim
Cheng-Yun Ho
Cheng-Yun Ho
Chi-Hua Tien
Christoph Krofitsch
D. Cymbalak
Duc-Thinh Le
El Houssein Chouaib
Harik
George K. Fourlas
Gouthaman
Elangovan
Guanghui Zhou
Gui Xianzhou
Guo SuLi
Haixiang Shi
Hansoo Kim
Hartomo Soewardi
Hui Deng
Hyung Rok Do
Hyun-il Lim
Ilham Bakri
J.M.Prajapati
Jaehong Yu
Jaroslav Lamer
Jayeon Gu
Jianan Sun
Jianna Niu
Jieun Son
John M. Ikome
John Reyes
Kai Wu
Kerstin
Sophie
Haring
EA3008
EA3011
EA009
F088
F053
F054
N3010
N0005
F020
N0035
S2A
S1A
S2B
S6
S3
S3
S2B
S4
S5
S4
22
15
25
45
29
32
27
33
39
35
N0028
S4
34
N0034
S4
35
N3013
S3
30
N0015
F1012
F1011
F070
F068
EA3020
F006
EA3018
F091
EA011
N0021
EA3014
F050
EA3017
N2008
EA2004
EA3019
EA007
EA004
N0030
S2B
S3
S3
S6
S5
S5
S6
S2B
S6
S2B
S4
S1B
S5
S1B
S2A
S2A
S1A
S2A
S2A
S4
27
30
31
47
42
40
43
26
46
27
38
19
39
18
24
22
14
23
21
35
N0007
S4
33
- 50 -
Khader Musbah Titi
Kyungjin Bae
Lei Zhang
Li fang
Masashi Sugano
Meteb Altaf
Mohamed
Gouda
Ramadan Alkalla
Muhammad Shahab
Alam
Neelanjana Basu Roy
Nutchanat
Kitsongsang
O. Kainz
P. K. Kwok
N2005
EA012
N2011
N3009
N3040
N3006
S1A
S2B
S4
S5
S2B
S4
15
25
34
41
28
37
N0024
S4
36
N0026
S4
37
F093
S3
32
N0042
S1B
19
F019
EA3022
S5
S1A
39
16
Paulo Gil
Phikid Vayophad
Pimchanok
Rungrueng
Pradeep S.
Praetana
Poohrungrueang
Qingsong Wei
Quanqing Xu
R. Henry Xavier
Renuga Kanagavelu
Rodel Miguel
Sandeep Singhal
Seulki Lee
Shian-Chang Huang
Sikandar Hayat
Sivachandra Prabhu
Annadurai
Sun Chen
Sung Ho Park
Susan Sutherland
T. Suresh
Teerapat Chaloeivoot
Thu Zar Phyu
Tobey H. Ko
Tong Wu
Vidya Viswanathan
Wang shuqiang
Yibin Ng
Yifan Zhou
Yifan Zhou
Yonghong
Wilson
Wang
N0008
EA005
S4
S2A
33
23
N0044
S1B
20
N0033
S5
42
N0043
S4
36
F080
F072
EA3009
F081
F083
EA2005
EA3007
F067
N3008
S6
S6
S2A
S6
S6
S2A
S2B
S6
S4
46
47
23
48
47
21
26
43
37
N3012
S3
30
F1012
EA3010
F3003
N0012
F3001
N2009
EA008
EA2003
N0014
F1009
F069
EA3016
EA3021
S3
S1A
S6
S3
S5
S5
S2B
S2A
S6
S1B
S6
S1A
S1B
30
15
45
29
42
41
25
21
43
18
46
16
20
F078
S6
44
Yongqing Zhu
Young Joon Park
Younghoon Kim
F085
EA3012
EA3006
S6
S5
S1A
47
40
14
Yuree Chung
- 51 -
F010
S6
44
 Route:
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 Notice:
1. Please be noted that this is totally free of charge visit to one of the advanced labors in Nanyang
Technological University. During this time period, please follow the guidance and behave
properly.
2. On the way to labor, please carefully follow our staff, and feel free to call us if you have any
question.
3. There may be some minor changes of the time due to the practical situation.
4. If you don’t want to join the half-day visit, you are free to arrange your own discovery tourism
in Singapore.
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Memo
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