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The ICGIP 2013 Hong Kong Conferences

2013 5th International Conference on

Graphic and Image Processing (ICGIP 2013)

Oct. 26-27, 2013

Workshops

2013 2nd International Conference on Software and Intelligent Information (ICSII 2013)

2013 2nd International Conference on Information and Digital Engineering (ICIDE 2013)

2013 5th International Conference on Computer Technology and Development (ICCTD 2013)

2013 2nd International Conference on Software and Information Management (ICSIM 2013)

2013 2nd International Conference on Computational Chemistry and Biology (ICCCB 2013)

2013 2nd International Conference on Future Bioengineering (ICFB 2013)

2013 2nd International Conference on Life Science and Engineering (ICLSE 2013)

2013 4th Journal Conference on Environmental Science and Development (JCESD 2013)

Regal Riverside Hotel

34-36 Tai Chung Kiu Road, Shatin, Hong Kong

Tel. (852) 2649 7878

Email: [email protected]

Sponsored By


Welcome to ICGIP 2013 in Hong Kong Oct. 26-27, 2013

Dear Distinguished Delegates, Welcome to ICGIP 2013 Conferences in Hong Kong, with its workshops. ICGIP 2013 is co-sponsored by IACSIT, CBEES and IACSIT Press. We’re confident that over the two days you’ll get the theoretical grounding, practical knowledge, and personal contacts that will help you build long-term, profitable and sustainable communication among researchers and practitioners working in a wide variety of scientific areas with a common interest in computer science, biological science and life science. After more than half a year’s preparation, we finally will have those conferences to be held in Hong Kong, Oct. 26-27, 2013. For all the conferences, we had received over 800 submissions, 180 excellent papers were accepted and published finally. Congratulations for those papers. On behalf of IACSIT, CBEES and IACSIT Press and all the conferences committee, I would like to thank all the authors as well as the Program Committee members and reviewers. Their high competence, their enthusiasm, their time and expertise knowledge, enabled us to prepare the high-quality final program and helped to make the conference became a successful event. Once again, thanks for coming to ICGIP 2013 with its workshops, we are delegate to higher and better international conference experiences. We will sincerely listen to any suggestion and comment; we are looking forward to meeting you next time.

Yours Sincerely Ms. Sophie Tsang Director of Conference Department II, IACSIT

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ANNOUNCEMENT

*ICGIP 2013 conference papers were selected and published by SPIE Digital Library, which will be included in the SPIE Digital Library, and indexed by Ei Compendex and Thomson ISI. The paper will be online firstly; proceeding will be posted after the conference. *ICSII 2013 conference papers were selected and published in the volume of JIII (ISSN: 2301-3745), authors will get the journal onsite. *ICIDE 2013 conference papers were selected and published in the volume of IJIMT (ISSN: 2010-0248), authors will get the journal onsite. *ICCTD 2013 conference papers will be published in ASME, which will be included in the ASME Digital Library, and indexed by the Ei Compendex, ISI Proceeding and other indexing services. The paper will be online firstly; proceeding will be posted after the conference. *ICSIM 2013 conference papers were selected and published in the volume of LNSE (ISSN: 2301-3559), authors will get the journal onsite. *ICCCB 2013 conference papers were selected and published in the volume of IJCEA (ISSN: 2010-0221), authors will get the journal onsite. *ICFB 2013 conference papers were selected and published in the APCBEE Procedia (Journal under Elsevier, ISSN: 2212-6708), authors will get the journal onsite. *ICLSE 2013 conference papers were selected and published in the volume of JOLST (ISSN: 2301-3672), authors will get the journal onsite. *JCESD 2013 conference papers were selected and published in the volume of IJESD (ISSN: 2010-0264), authors will get the journal onsite. *One best presentation will be selected from each session, the best one will be announced and award the certificate at the end of each session.

IACSIT Publication committee

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Instructions for Oral Workshop Devices Provided by the Conference Organizer:

Laptops (with MS-Office & Adobe Reader)

Projectors & Screen

Laser Sticks

Materials Provided by the Presenters:

PowerPoint or PDF files

Duration of Each Presentation:

Regular Oral Session: about 13 Minutes of Presentation including Q&A.

Keynote Speech: 40 Minutes of Presentation including Q&A.

About Dress Code

All participants are required to dress formally, casual wear is unacceptable.

National formal dress is acceptable.

Conference Schedule

Day 1, Saturday, October 26, 2013 – Onsite Registration Only

Registration: Hotel Lobby

10:00am-12:00am13:30pm-17:00pm

Arrival, Registration and Conference materials collection **Certificate for Participation can be collected at the registration counter**

Day 2, Sunday, October 27, 2013 – Presentation Day

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Morning Session

Room 1 08:45am-10:15am Plenary Speech: ICCEA 2013

Plenary Photo: ICCEA 2013

10:30am-12:30pm ICCEA 2013 Authors’ Oral Presentation

Session 1

Room 2 08:45am-10:30am

Plenary Speech: ICCSS 2013+ICSIA 2013

Plenary Photo: ICCSS 2013+ICSIA 2013

10:45am-12:30pm Authors’ Oral Presentation

Session 4

Lunch 12:30pm-13:20pm

Afternoon 13:30pm-18:30pm

8:30am-8:45am

8:45am-9:25am

Opening Remarks:

All participants

Keynote Speech 1:

All participants

Room 1

9:25am-9:35am

Photo Taking:

All participants

& Room Changing:

JCESD 2013

CBEES Confs.

9:35am-10:15am Keynote Speech 2:

IACSIT Confs.

Keynote Speech 5:

JCESD 2013

CBEES Confs.

Photo Taking

Room 3

10:15am-10:30amm

Coffee Breaks: All participants


IACSIT Confs.

Room 1

Authors’ Oral Presentation:

ICFB 2013

&

ICCCB 2013

Room 3


IACSIT Confs.

10:30-12:30amm

11:50am-11:55am Photo Taking:

IACSIT Confs.

12:30pm-13:30pm

Lunch: All participants

Day 2: Oct 27, 2013

Simple Version Morning Session

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Day 2: Oct 27, 2013

Afternoon --- Authors’ Presentation 13:30pm-19:00pm

Room 1 Room 2 Room 3 Room 4

Session 2:

ICGIP 2013

Session 3:

ICSII+ICIDE 2013

Session 4:

ICGIP 2013

Session 5:

ICGIP 2013

Session 6:

ICLSE 2013

Session 7:

JCESD 2013

Session 8:

ICSIM+ICCTD2013

Session 9:

ICGIP 2013

12:30am-13:30am Lunch (L’eau Restaurant)

19:00pm - 20:00pm Dinner (Shing Mun Room)

Full Schedule:

Room 1+Room 2

Plenary Speech+ Plenary Photo 08:30am-12:30am

Morning

08:30am-08:45am

Opening Remarks:

Prof. Wang Yulin,

International School of Software, Wuhan University, China

08:45am-09:25am

Keynote Speech 1:

Prof. David Zhang

Hong Kong Polytechnic University，Hong Kong

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09:25am-09:35 am

Photo Taking:

All participants

Room Changing:

JCESD 2013&CBEES Confs.

09:35am-10:15 am

Keynote Speech 2:

Prof. Chin-Chen Chang

Feng Chia University,Taiwan

10:15am-10:30am Coffee Break

Morning

10:30am-11:10 am

Keynote Speech 3:

Prof. Ming Yang

Southern Polytechnic State University, USA

11:10am-11:50 am

Keynote Speech 4:

Prof. Xudong Jiang

Nanyang Technological University

11:50am-11:55 am Photo Taking: IACSIT Confs.

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Room 3

Plenary Speech+ Plenary Photo 09:35am-12:30am

Morning 09:35am-10:15 am

Keynote Speech 5:

(JCESD 2013 & CBEES Confs.)

Asso. Prof. Jun F. (James) Liang

Department of Chemistry, Chemical Biology, and Biomedical Engineering, Stevens Institute of Technology, USA

Speech Topic: "Biomaterials Associated Infections: An Emerging Challenges for Life Scientists and Engineers"

Photo Taking: JCESD 2013 & CBEES Confs.

10:15am-10:30am Coffee Break

Morning Session ICFB 2013 & ICCCB 2013 Authors’ Oral Presentation

Session 1（10:30am-12:30am）

Session Chair: Prof. KUO-YUAN HWA National Taipei University of Technology, Taiwan

F0001

Docking of Potent Anticancer Agents; 4-(Pyrazol-4yl)-pyrimidine Derivatives as

Selective Cyclin-Dependent Kinase 4/6 Inhibitors

Akrimah, Daryono Hadi Tjahyono and Amir Musadad

Sriwijaya University, Pharmacy Department

Abstract—Cyclin-dependent kinases (CDKs) are regulatory protein kinases which involved in

cell cycle control. Many CDK inhibitors have been studied for anticancer potential. Here we

conducteda docking studyof 4-(pyrazol-4-yl)-pyrimidine derivatives as CDK1/2 and CDK4/6

inhibitors. Selectivity is an important aspect regarding the anticancer effect. In this

computational research, we analyzed the interactionof 4-(pyrazol-4-yl)-pyrimidine derivatives

with their receptors, CDK4/6 and CDK2. We compared the docking result of the parent

compound, the most selective, and the least selective compound. Docking of the three

compounds wasperformed using software Arguslab CDK 4.0.1 to assess the interaction

withthereceptors.Three docking parameters were analyzed; Gibbs free energy(∆G), atoms and

residue of receptor involved in hydrogen bonding, and the bonding length. All three

compounds had value of ΔG <0, indicated that the interaction between the ligand and receptor

was spontaneous. However, none of these parameters and descriptors values could explain the

selectivity order of the three compounds.

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Index Terms—Anticancer, CDK inhibitor, computational chemistry, docking, pyrazolo

pyrimidine derivatives.

F0003

Binding Mode Study of β-glucosidase B from P. Polymyxca with Cellobiose and

Laminaribiose

Nur Shima Fadhilah Mazlan and Nurul Bahiyah Ahmad Khairudin

Malaysia Japan International Institute of Technology , Universiti Teknologi Malaysia

Abstract—Beta-glucosidase (3.2.1.21) plays an essential role in the removal of non-reducing

terminal glucosyl residues from sacharides and glycosides. Recently, beta-glucosidase has

been of interest for biomass conversion that acts in synergy with two other enzymes,

endo-glucanase and exo-glucanase. However, there is not much information regarding the

molecular interactions of beta-glucosidase with cellobiose. Thus, this study reports on the

binding modes between beta-glucosidase from glycoside hydrolase family 1 namely BglB

with cellobiose and laminaribiose via molecular docking method. Further analysis on the

hydrophobic interactions revealed the key residues involved in forming hydrogen bonds

(h-bond) with the substrates. The important residues were reported to be Gln22, Glu167,

Tyr298, Glu356, Glu402, and Trp410. These findings may provide valuable insigths in

designing beta-glucosidase with higher cellulose-hydrolyzing efficiency.

Index Terms—β-glucosidase, molecular docking, enzymatic hydrolysis

F1001

Growth Response of Brassica RAPA on the Different Wavelength of Light

Liwayway H. Acero

SAN BEDA COLLEGE, MANILA PHILIPPINES

Abstract—This study was done to determine what wavelengths of light affects the vegetative

growth of Brassica rapa grown in pots in urban area. Quasi-experimental method was used in

this study. Brassica rapa seedlings were exposed to different colors of light (white blue green,

yellow and red) eight hours in the evening for two weeks of vegetative growth. The leaf size,

number and color of leaves were monitored. Data was analyzed using ANOVA-single

factorial. Result of the study revealed that plants exposed to white color gave the highest

length, width and average number of leaves after fourteen days, followed by plants in

treatment 3 (green light), treatment 2 (blue light), treatment 4 (yellow light), the least in

treatment 5 (red light). Base on the result of the study white colored fluorescent bulb is

recommended as supplementary lighting to Brassica rapa grown in pots in urban areas.

Index Terms—Brassica rapa, growth response, wavelength of light

A001

Bacterial Degradation of Microcystins within a Biologically Active Sand Filter

TheerasakSomdee and AnchanaSomdee

Khonkaen University

Abstract—A bacterium, Novosphingobium sp. KKU03 previously demonstrated to degrade

the cyanobacterial toxin, microcystins (MCs), was investigated for the removal of MCs

through the slow sand filter. In this study, biological sand filtration was assessed in PVC

column experiment for its ability to remove MCs ([Dha7]MC-LR and MC-LR). Degradation

of MCs was observed with inoculated (6x108 CFU/ml) treatment of water dosed with both

MCs (completed degradation within 7 days) compared to uninoculated control. Polymerase

chain reaction (PCR) specifically targeting amplification of 16S rRNA gene of

Novosphingobium sp. KKU03 was applied to monitor the presence of the bacterium in

experimental trials. PCR products indicative of an endemic bacterial population were

observed at all sample sites through the column where MCs degradation was measured,

indicating this bacterial isolate was active in degradation of MCs.

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Index Terms—Novosphingobium sp., microcystins, biological sand filtration

A0002

Does Common Standard Brain Template Standardize for All Brains Regardless the

Different of Age, Gender and Culture?

Nor SaradatulAkmarZulkifli, MohdFauzi Bin Othman, NurulFazrena Kamal

Universiti Teknologi Malaysia

Abstract—In functional brain imaging studies, especially when adjusting the functional image

to define a standard brain, it is essential to describe the brain images obtained from different

subjects using the same coordinate system. Across the years, studies have been conducted to

develop a standard brain template that is compatible to different population although the

human brain is highly different in shape and size between individuals and basic demographic

factors. The Korean standard brain template was the early Eastern template developed and

shows the difference between Eastern and Western brains. Compared to MNI and Talairach

atlas, Korean brain template was shorter in anterior-posterior length. In Singapore, neonates’

brain template for multiple races was developed, where brain of the Indian neonates more

elongated than Malay neonates. The latest study on 1,000 Chinese subjects has developed 10

new Chinese brain atlases comprising different ages and gender. Via these researches, it is

proved that standard brain template could be different across age, culture and gender. In this

review paper, the scenario of the standard brain templates development is briefly discussed,

followed by the comparison of results obtained from previous study.

Index Terms—Functional Magnetic Resonance Imaging(fMRI), Standard Brain Template,

Neuroimaging, Western People, Eastern People

A006

Acrylic-based Stereolithographic Resins: Effect of Scaffold Architectures on Biological

Response SomruethaiChannasanon, PakkanunKaewkong, PaweenaUppanan and SiripornTanodekaew

National Metal and Materials Technology Center (MTEC)

Abstract—Stereolithography (SL), one of rapid prototyping techniques, has many advantages

over other methods in fabrication of three dimensional objects, particularly those used in

biomedical fields. Various complex medical objects, especially scaffold, can be precisely

custom-constructed using this technique. This research aims to evaluate the effect of different

scaffold architectures, fabricated with photosensitive liquid polymer using SL technique, on

cell responses in terms of cell proliferation and alkaline phosphatase (ALP) activity. A variety

of difunctional and trifunctional (meth)acrylate resin formulations were evaluated for

mechanical strength by three-point bending using Universal Testing Machine. Volume

shrinkage for each formulation was also investigated. The most promising resin composition

for stereolithography technique that exhibited good mechanical strength and low shrinkage

was chosen for scaffold fabrication. Five scaffold architectures with different percentages of

porosity, designed by computer-aided design program (CAD), were successfully fabricated to

microscale scaffolds using stereolithography apparatus equipped with UV laser source.

Microscale images of stereolithographic-fabricated scaffolds were observed under a scanning

electron microscope (SEM). Alamar blue and alkaline phosphatase assays were used to

investigate biological responses of scaffolds. The results revealed that no significant

difference in cell proliferation for all patterns after 21-day culture period whereas a lower

porous scaffold exhibited a greater ALP activity.

Index Terms—stereolithographic resin, scaffold architectures, biological response

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A1009

Preparation and Kinetic Study of Rhizopusoryzae Whole-cell as Biocatalyst for

Biodiesel Synthesis through Non-alcohol Route

Hermansyah H., Faiz M. B., Arbianti R., Utami T. S., Yopi

Universitas Indonesia

Abstract—Direct use of lipase producing whole-cell as biocatalyst for biodiesel synthesis

gain extensively attention since it could reduce the catalyst cost. Whole-cell of

Rhizopusoryzaewas cultivated by single-step and two-stepmethod. At reaction time of 48 h,

the single-step cultivated whole-cell produced23% FAME yield. It is higher comparable with

the two-step cultivated whole-cell with 19% FAME yield.Kinetic model based

Michaelis-Mentenmechanism was found to fit fairly the substrate and product concentration

profileof experimental result.Km and Vmaxvalue for R. oryzaewhole-cell are 3mole L-1, 0.09

mole L-1 h-1(one-step) and 3 mole L-1, 0.065mol L-1 h-1 (two-step).

Index Terms— Biodiesel, Michaelis-Menten, Whole-cell

A1011

Effect of Carbon and Nitrogen Sources on Lipase Production by Isolated

Lipase-Producing Soil Yeast

ThanagritBoonchaidung,ThidaratPapone, RatanapornLeesing

KhonKaen University

Abstract—Microbial lipase can be applied in many industrial, such as detergent formulation,

fat and oil degradation, pharmaceutical synthesis, cosmetics production and biodiesel

preparation. Increasing in demand for lipase, increasing attention has been focused to how to

produce it efficiently and economically. In this work, the effect of carbon and nitrogen

sources and pH on lipase production by isolated soil yeast Candida sp. KKU-PH2-15 was

investigated by shaking flask batch culture. The maximum biomass of 18.77g/L was obtained

using glucose and palm oil as carbon source and inducer, yeast extract as nitrogen source at

pH 6.0, 120 rpm, and 30◦C for 60h of cultivation time. The highest extracellular lipase

activity of lipase-producing yeast isolate wasachieved at 1.2 U/mL with specific activity of

0.65U/mg.

Index Terms—Lipase-producing yeaset, lipase, microbial lipase

A008

Comparative Study of Intelligent Soft-sensors for Bioprocess State Estimation

RimvydasSimutis, VytautasGalvanauskas, DonatasLevisauskas, JolantaRepsyte,

VygandasVaitkus

Kaunas University of Technology, Process Control Department, Studentu 50-153

Abstract—In this article, application of soft-sensors for indirect determination of biomass and

product concentration in a complex fed-batch biotechnological process is discussed. Three

advanced techniques for soft-sensor design were investigated: feed-forward artificial neural

networks, support vector regression model, and relevance vector regression model. Glucose

/lactose feed rates and oxygen uptake rate along with its integrated quantity were used as

direct reference measurements for estimation. Estimation quality of analyzed soft-sensors was

tested using data generated by mechanistic process model. All three analyzed estimation

techniques provided very similar estimation results from statistical point of view; nevertheless

employment of regression models has some advantage because of its simplicity. Based on

that, recommendations for application of the elaborated soft-sensors are given.

Index Terms—state estimation, biomass and product concentrations, artificial neural

networks, support vector regression, relevance vector regression

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A1012

Isolation of Ascomycetous Fungi, Neosartorya spp. and Screening for Its Antibacterial

Metabolites

WareeratSanmanoch, WiyadaMongkolthanaruk, SomdejKanokmedhakul,

Tadanori Aimi and SophonBoonlue

KhonKaen University

Abstract—The aim of the present study was to identify ascomycetous fungi (Neosartorya

spp.) and examined the antibacterial activities of crude mycelium extracted by ethyl acetate

from these fungal genera. Among 10 ascomycetous fungal isolates, Neosartorya sp., were

screened from soil and showed a broader antimicrobial spectrum than the other. Especially,

fungal strain KKU-1NK1 showed strongly antibacterial activities. This fungal strain was

belonging to Neosartoryaspinosa which was identified using 5.8S rRNA gene sequencing

analysis. The results revealed that the growth of clinical isolates of gram-positive pathogenic

bacteria (Methicillin-resistant Staphylococcus aureusDMST 20654, Staphylococcus aureus

ATCC 25923, Staphylococcus saprophyticus ATCC 15305, Streptococcus pneumonia DMST

15319 andBacillus subtilis ATCC 6633) was well inhibited by crude mycelial extracted

fromN. spinosa KKU-1NK1 at concentrations values of 10 mg/ml. Moreover, the effects of

submerge culture media variation on mycelia growth which affected to total production of

bioactive compounds and antibacterial activity by N. spinosa KKU-1NK1 was observed.

Index Terms—ascomycetes, crude mycerial, antimicrobial compounds

A0006

Electrical Energy Production Through Microbial Fuel Cell Using Industrial Wastewater

Fisheries

Mujtahid Alfajri, Nilam Puspa Ruspatti , Andri Bagus Arianto , Rika Lestari

Bogor Agricultural University

Abstract—Electrical energy demand in Indonesia has increasing, that makes there are

researches about innovative technologies that more effective, efficient, and green

environment. The research focused on the utilization of fishery waste water that produce

liquid and solid waste in large quantities which potentially contaminate the environment. One

way to utilize waste from fisheries could be done with MFC (Microbial Fuel Cell). MFC

(Microbial Fuel Cells) is an energy conversion technology in the form of a mixture of organic

chemical into electrical energy by the catalytic reaction continues to penetrate the

microorganisms. Variations performed by the addition of bacteria with different treatment.

The treatments are without the addition of bacteria, the addition of as much as 1 ml of

bacteria, 2 ml of bacteria, 3 ml of bacteria, and 4 ml of bacteria. The electricity values

obtained through observations during 5 days is 0.18 volts (without the addition of bacteria),

0.0246 volts (1 ml bacteria), 0.23 volts (2 ml bacteria), 0.0826 volts (3 ml bacteria), 0.131

volts (4 ml bacteria). The greatest electricity value generated by the addition of 2 ml of

bacteria. Further research in the use of waste as a substrate of the fishery industry in the MFC

system can reduce cost of MFC operating system, MFC as well as making electricity

producing technologies that are economical, green environment, and sustainable.

Index Terms—Electricity, liquid waste of fisheries, Microbial Fuel Cell

12:30am-13:30am Lunch (L’eau Restaurant)

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Room 1

Afternoon Session ICGIP 2013 Authors’ Oral Presentation

Session 2（13:30pm-16:00pm）

Session Chair: Prof. Tuan D. Pham The University of Aizu, Japan

IP0007

A Study of Extraction of Petal Region on Flower Picture using HSV Color Information

Yoshio Yanagihara and Ryo Nakayama

Ehime University, Japan

Abstract—It is one of useful and interesting applications to discriminate the kind of the

flower or recognize the name of the flower, as example of retrieving flower database. As its

contour line of the petal region of flower is useful for such problems, it is important to extract

the precise region of the petal of a flower picture. In this paper, the method which extracts

petal regions on a flower picture using HSV color information is proposed, such to

discriminate the kind of the flower. The experiments show that the proposed method can

extract petal regions at the success rate of about 90%, which is thought to be satisfied. In

detail, the success rates of one-colored flower, plural-colored flower, and white flower are

about 98%, 85%, and 83%, respectively.

Index Terms—HSV color space, petal region, region extraction, image processing

IP0010

Mammographic Mass Detection Based on Extended Concentric Morphology Model

Yanfeng Li and Houjin Chen

Beijing Jiaotong University, China

Abstract—Breast cancer occurs with high frequency among women. In most cases, the main

early signs appear as mass and calcification. Distinguishing masses from normal tissues is

still a challenging work as mass varies with shapes, margins and sizes. In this paper, a novel

method for mass detection in mammograms was presented. First, morphology operators are

employed to locate mass candidates. Then anisotropic diffusion was applied to make mass

region display better multiple concentric layers (MCL). Finally an extended concentric

morphology model (ECMM) criterion combining MCL criterion and template matching was

proposed to detect masses. This method was examined on 170 images from Digital Database

for Screening Mammography (DDSM) database. The detection rate is 93.92% at 1.88 false

positives per image (FPs/I), demonstrating the effectiveness of the proposed method.

Index Terms—Anisotropic diffusion, ECMM, mammogram, mass detection, template

matching

IP0011

Smoke Detection Using GLCM, Wavelet, and Motion

Teerasak Srisuwan and Miti Ruchanurucks

Electrical Engineering, Kasetsart University, Thailand

Abstract—This paper presents a supervised smoke detection method that uses local and

global features. This framework integrates and extends notions of many previous works to

generate a new comprehensive method. First chrominance detection is used to screen areas

that are suspected to be smoke. For these areas, local features are then extracted. The features

are among homogeneity of Gray Level Co-occurrence matrices (GLCM) and energy of

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wavelet. Then, global feature of motion of the smoke-color areas are extracted using a

space-time analysis scheme. Finally these features are used to train an artificial intelligent.

Here we use neural network, experiment compares importance of each feature. Hence, we can

really know which features among those used by many previous works are really useful. The

proposed method outperforms many of the current methods in the sense of correctness, and it

does so in a reasonable computation time. It even has less limitation than conventional smoke

sensors when used in open space. Best method for the experimental results is to use all the

mentioned features as expected, to insure which is the best experiment result can be achieved.

The experiment indices used to indicate accuracy is true positive and false positive values.

The achieved with high accuracy of result expected output is high value of true positive and

low value of false positive, the show that our algorithm has good robustness for smoke

detection.

Index Terms—Image processing, smoke detection, GLCM, wavelet, motion

IP0014

Realistic Facial Animation Generation Based on Facial Expression Mapping Hui Yu, Oliver Garrod, Rachael Jack and Phlippe Schyns

University of Portsmouth, The United Kingdom

Abstract—Facial expressions reflect internal emotional states of a character or in response to

social communications. Though much effort has been taken to generate realistic facial

expressions, it still remains a challenging topic due to human being’s sensitivity to subtle

facial movements. In this paper, we present a method for facial animation generation, which

reflects true facial muscle movements with high fidelity. An intermediate model space is

introduced to transfer captured static AU peak frames based on FACS to the conformed target

face. And then dynamic parameters derived using a psychophysics method is integrated to

generate facial animation, which is assumed to represent natural correlation of multiple AUs.

Finally, the animation sequence in the intermediate model space is mapped to the target face

to produce final animation.

Index Terms—Facial animation, FACS, deviation transfer, facial expression mapping

IP0017

A Robust and Fast Line Segment Detector based on Top-down Smaller Eigenvalue

Analysis

Dong Liu, Yongtao Wang, Zhi Tang and Xiaoqing Lu

Institute of Computer Science and Technology, Peking University, China

Abstract—In this paper, we propose a robust and fast line segment detector, which achieves

accurate results with a controlled number of false detections and requires no parameter

tuning. It consists of three steps: first, we propose a novel edge point chaining method to

extract Canny edge segments (i.e., contiguous chains of Canny edge points) from the input

image; second, we propose a top-down scheme based on smaller eigenvalue analysis to

extract line segments within each obtained edge segment; third, we employ Desolneux et al.’s

method to reject false detections. Experiments demonstrate that it is very efficient and more

robust than two state of the art methods—LSD and EDLines.

Index Terms—line segment detection, smaller eigenvalue analysis, straightness criterion,

top-down scheme.

IP0019

Elastic Cone for Chinese Calligraphy Fenglei Cai and Haisheng Li

East China Normal University, China

Abstract—The brush plays an important role in creating Chinese calligraphy. We regard a

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single bristle of a writing brush as an elastic rod and the brush tuft absorbing ink as an elastic

cone, which naturally deforms according to the force exerted on it when painting on a paper,

and the brush footprint is formed by the intersection region between the deformed tuft and the

paper plane. To efficiently generate brush strokes, this paper introduces interpolation and

texture mapping approach between two adjacent footprints, and automatically applies

bristle-splitting texture to the stroke after long-time painting. Experimental results

demonstrate that our method is effective and reliable. Users can create realistic calligraphy in

real time.

Index Terms—Chinese calligraphy, brush tuft, elastic cone, texture mapping

IP0020

Simulation of Ink Diffusion on Xuan Paper

Dongyun Fan and Haisheng Li


Abstract—The ink diffusion on Xuan paper is essentially a particle diffusion process, and the

diffusion result is mainly determined by paper structure and ink attributes. This paper

introduces weighting fiber structure to model the Xuan paper, which regards the paper fiber as

the hindrance to ink diffusion. Based on the paper model, we present a novel simulation

method of ink diffusion using the diffusion equation with variable coefficient. The diffusion

coefficient consists of several factors including the fiber’s weights and the ink quantity in the

current diffusion location. To efficiently solve the ink diffusion equation, we also propose a

new implicit difference method with high accuracy and linear time complexity. Compared

with the previous similar methods, our method is able to describe the spontaneous gray

evolution and generate a more natural diffusion boundary. The experimental results

demonstrate that our approach can realistically simulate different diffusion effects on different

kinds of Xuan paper.

Index Terms—Ink diffusion, Xuan paper, Weighting fiber structure, Diffusion equation with

variable coefficient.

IP0023

Edge-Preserving Smoothing for Image Decomposition via a Hybrid Approach

Yang Wang, Hongzhi Liu and Zhonghai Wu

Peking University, China

Abstract—Edge-preserving smoothing is crucial for image decomposition to extract the base

layer. However, current methods fail to smooth high-contrast details or preserve thin edges

due to their single criterion for distinguishing edges and details. In this paper, we present a

hybrid definition for salient edges using two properties: intensity amplitude and oscillations

density. Based on this definition, we propose an edge-preserving image smoothing algorithm.

Firstly local extrema of the input image are located. Then these extrema points are classified

into edge or detail points by the two properties. Thirdly, max and min envelops are obtained

by an optimizing process with edge points as constrains. Lastly, the smoothing result is

obtained by an averaging operation. Experimental results show that the proposed method can

preserve salient step edges while smoothing high-contrast details and is useful in many

applications such as image enhancement and hatch-to-tone mapping.

Index Terms—Image decomposition, edge-preserving smoothing, local extrema, intensity

amplitude, oscillations density.

IP0024

Local Spatial Binary Pattern: A New Feature Descriptor for Content-Based Image

Retrieval

Yu Xia, Shouhong Wan and Lihua Yue

University of Science and Technology of China, China

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Abstract—In this paper, we propose a novel image retrieval algorithm using local spatial

binary patterns (LSBP) for content-based image retrieval. The traditional local binary pattern

(LBP) encodes the relationship between the referenced pixel and its surrounding neighbors by

calculating gray-level difference, but LBP lacks the spatial distribution information of texture

direction. The proposed method encodes spatial relationship of the referenced pixel and its

neighbors, based on the gray-level variation patterns of the horizontal, vertical and oblique

directions. Additionally, variation between center pixel and its surrounding neighbors is

calculated to reflect the magnitude information of the whole image. We compare our method

with LBP, uniform LBP (ULBP), completed LBP (CLBP), local ternary pattern (LTP) and

local tetra patterns (LTrP) based on three benchmark image databases including, Brodatz

texture database(DB1), Corel database(DB2), and MIT VisTex database(DB3). Experiment

analysis shows that the proposed method improves the retrieval results from 70.49%/41.30%

to 73.26%/46.26% in terms of average precision/average recall on database DB2, from

79.02% to 85.92% and 82.14% to 90.88% in terms of average precision on databases DB1

and DB3, respectively, as compared with the traditional LBP.

Index Terms—Content-based image retrieval (CBIR), local binary pattern (LBP), local

spatial binary pattern (LSBP), texture analysis.

IP0026

Hepatic Vessel Segmentation from Computed Tomography Using Three-dimensional

Hyper-complex Edge Detection Operator

Yang Ma and Xingmin Li

South China Normal University, China

Abstract—This paper proposes a three-dimensional (3D) segmentation algorithm using

hyper-complex edge detection operator and applies the new algorithm to three-dimensional

hepatic vessel segmentation from computed tomography (CT) volumetric data. A 3D

hyper-complex edge detection operator is constructed by combining octonion and gradient

operator. We replace every voxel of the volumetric data by one octonion which consist of its

gray-level and its 6 neighborhoods' gray-level. Via this the original volumetric data is defined

as octonion volumetric data. Similar to the Sobel operator, there are three principal directions

(coordinate axes) in 3D hyper-complex edge detection operator, and each element in this

operator is a octonion. The operator is circularly convoluted with octonion volumetric data to

get the value of matching response. If matched, this voxel is the edge of vessel. Experimental

results show that the algorithm can effectively segment small vascular tree branches.

Index Terms—3D segmentation, edge detection, CT images, liver vessel segmentation.

IP0027

Automatic Spatiotemporal Matching of Detected Pleural Thickenings

Kraisorn Chaisaowong, Simon Kai Keller and Thomas Kraus

Institute of Imaging and Computer Vision, RWTH Aachen University, Germany

Abstract—Pleural thickenings can be found in asbestos exposed patient’s lung. Non-invasive

diagnosis including CT imaging can detect aggressive malignant pleural mesothelioma in its

early stage. In order to create a quantitative documentation of automatic detected pleural

thickenings over time, the differences in volume and thickness of the detected thickenings

have to be calculated. Physicians usually estimate the change of each thickening via visual

comparison which provides neither quantitative nor qualitative measures. In this work,

automatic spatiotemporal matching techniques of the detected pleural thickenings at two

points of time based on the semi-automatic registration have been developed, implemented,

and tested so that the same thickening can be compared fully automatically. As result, the

application of the mapping technique using the principal components analysis turns out to be

advantageous than the feature-based mapping using centroid and mean Hounsfield Units of

each thickening, since the resulting sensitivity was improved to 98.46% from 42.19%, while

16


the accuracy of feature-based mapping is only slightly higher (84.38% to 76.19%).

Index Terms—CT, pleural thickening, spatiotemporal matching, principal components

analysis, feature-based mapping.

IP0029

Edge-guided Filtering Scheme for Decomposition-based Tone Mapping

Xuebiao Wu, Zhuo Su1 and Xiaonan Luo

Sun Yat-sen University, China

Abstract—This paper presents a novel edge-guided filtering scheme for decomposition-based

tone mapping, whose superiority is to prevent two major defects in filter-driven multi-scale

decomposition: halo artifact and over-smoothing distortion. First, we calculate an

edge-preserving smoothing by gradient domain reconstruction with given edges. Then we

apply this output in high dynamic range tone mapping to address aforementioned problems.

At last, some experimental results are presented to demonstrate the effectiveness of our

method in producing high-quality low dynamic range outputs.

Index Terms—Tone mapping, image decomposition, edge-preserving smoothing, gradient

reconstruction.

IP0031

Image Segmentation Using Random Features

Geoff Bull, Junbin Gao and Michael Antolovich

Charles Sturt University, Australia

Abstract—This paper presents a novel algorithm for selecting random features via

compressed sensing to improve the performance of Normalized Cuts in image segmentation.

Normalized Cuts is a clustering algorithm that has been widely applied to segmenting images,

using features such as brightness, intervening contours and Gabor filter responses. Some

drawbacks of Normalized Cuts are that computation times and memory usage can be

excessive, and the obtained segmentations are often poor. This paper addresses the need to

improve the processing time of Normalized Cuts while improving the segmentations. A

significant proportion of the time in calculating Normalized Cuts is spent computing an

affinity matrix. A new algorithm has been developed that selects random features using

compressed sensing techniques to reduce the computation needed for the affinity matrix. The

new algorithm, when compared to the standard implementation of Normalized Cuts for

segmenting images from the BSDS500, produces better segmentations in significantly less

time.

Index Terms—compressed sensing, image segmentation, normalized cuts, random

projections.

16:00am-16:10pm Coffee Break

Afternoon Session ICSII 2013 & ICIDE 2013 Authors’ Oral Presentation


Session Chair: Will be given soon

17


I0008

OSEK/VDX-based Application Software Development using Generic Embedded System

Youngjae Kim, Taeyoung Lee, Seonghun Lee, Sungrae Cho and Sungho Jin

Daegu Gyeongbuk Institute of Science & Technology (DGIST), Korea

Abstract—OSEK/VDX (Open Systems and their Interfaces for the Electronics in Motor

Vehicles/Vehicle Distributed eXecutive) is an open platform that has produced specifications

for an operating system, a communication and a network management for automotive

embedded systems to enhance software portability and reusability. Generic Embedded System

devel-oped by DGIST provides an environment to develop an auto-motive embedded

software easily. In this paper, we introduce the Generic Embedded System and OSEK

Development Tools and present a detailed case study to describe an example of OSEK-based

automotive software application of RCS (Room-lamp Control System). Automotive engineers

can learn easily OSEK OS application software and utilize this case study to other application

software development through this case study.

Index Terms—OSEK/VDX, automotive application software, Generic Embedded System,

OSEK Development Tools, Roomlamp Control System.

I0009

Modeling and Simulation of Three-Phase Voltage Source Inverter using a Model

Predictive Current Control

Ali M. Almaktoof, A. K. Raji and M. T. E. Kahn

Cape Peninsula University of Technology, South Africa

Abstract—This paper focuses on a combination of three-phase Voltage Source Inverter (VSI)

with a predictive current control to provide an optimized system for three-phase inverter that

controls the load current. The present contribution presents a Finite Set-Model Predictive

Control (FS-MPC) strategy for a two-level three-phase VSI with resistive- inductive load

(RL-Load). In order to reduce the computational effort which gives rise to multiple

possibilities has been determined. With different cases the evaluation of the system is done.

Firstly, the system performance with long prediction horizon is carried out. Secondly, the

dynamic response of the system with step change in the amplitude of the reference is

investigated. Simulations are carried out using MATLAB/Simulink to test the effectiveness of

an FS-MPC for the two-level VSI with RL-Load.

Index Terms—Anisotropic diffusion, ECMM, mammogram, mass detection, template

matching

I1003

The Influence of Peer Network, Change Agents & Organization Characteristics in the

Adoption of E-journal Publishing

S. A. Sanni ; A. N. Zainab; N. H Abdulkareem ; and N. Abdullah

University of Malaya, University of Malaya

Abstract—The paper examines the importance of peer network, change agents and

organization characteristics in the adoption rate of e-journal publishing based upon responses

from Malaysian journal editors. The sample comprises of 150 Malaysian journal editors

who responded to a questionnaire distributed at a journal editor’s conference. Analysis was

based on 82 usable responses. Findings show that journal editors perceive a certain degree of

influence from peer network but perceive a less degree of influence from change agents. Both

peer network and change agents are not significant contributors to adoption rate of e-journals,

however all the three organization variables: journal’s age, publication size and editorial

experience are significant contributors. We discuss the results and implication of the findings.

Index Terms—E-journal adoption, E-journal publishing, Adoption of innovation, Malaysian

journal publishers, Peer network and change agents.

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I0007

Simulator Design for Vehicle Application System Development based on GMLAN

Taeyoung Lee, Youngjae Kim, Seonghun Lee and Sungho Jin

Daegu Gyeongbuk Institute of Science & Technology (DGIST), Korea

Abstract—Vehicle application system development consists of design, development,

confirmation using vehicle CAN (Controller Area Network) signal. As to do this kind of

process, very high costs and much time are required, further high risk is included. So,

developers have designed and used simulation environment. But, vehicle application system

developers are asking for methods of cost saving, few risks, and cut to development period.

This paper introduces method of simulator design for vehicle application system development

based on GMLAN (General Motor Local Area Network).

Index Terms—Vehicle Application System, CANoe, GMLAN, CAN, Simulator, Embedded

System

IS0002

Robust Robot Navigation using Polar Coordinates in Dynamic Environments

Seung-Hwan Lee, Gyuho Eoh, and Beom H. Lee

Seoul National University, Korea

Abstract—This paper presents robust robot navigation using polar coordinates in dynamic

environments based on our previous work which was to move toward a target while avoiding

static and dynamic obstacles. It utilized vector polar histogram (VPH) with velocity obstacle

(VO) for the navigation and obstacle avoidance but had difficulties in detecting dynamic

obstacles and reaching the target accurately. To overcome those problems, polar scan

matching (PSM) is combined with our previous work. It allows the robot to localize its pose

more correctly, which causes an improvement of dynamic obstacle detection. Simulations are

performed to verify that our approach outperforms other conventional navigation methods in

terms of obstacle avoidance and reaching the target accurately.

Index Terms—Navigation, Vector Polar Histogram, Velocity Obstacle, Polar Scan Matching

IS0003

Rotating Triangles Landmark for Indoor Multi-robot Localization

Hunsue Lee and Beom H. Lee Seoul National University, Korea

Abstract—This paper presents a novel landmark generating method for robust multi-robot

localization and tracking. Although the conventional approaches are able to generate a

number of landmarks, they often tend to misjudge or ignore some landmark in particular

environment. Analyzing those methods, we suggest the new landmark that is referred to here

as Rotating Triangles (RT) landmark. RT landmark implemented in intelligent space (iSpace)

is shown, and it is compared and evaluated with a landmark based on QR code and ShotCode

(QR/Shot). The experimental results show that RT landmark has better performance in terms

of recognition score and error. Index Terms—artificial landmark, multi-robots, localization, intelligent space

IS0004

A New 3D Object Registration Method using Observation Robot

Wonsok Yoo, Gyuho Eoh and Beom H. Lee


Abstract— This paper presents an efficient position allocation method of observation robot

for 3D registration. In the field of computer vision, researchers have developed many

algorithms for 3D registration and they are focusing on the model completeness. On the

contrary, our approach is focusing on the efficiency of the registration. With this new concept,

19


we introduce Selective Data Process (SDP) which is a selecting technique of robot’s

observation position by analyzing data distribution. We applied SDP to the 3D registration

technique and compared our new approach with the conventional 3D registration method.

Real experiments verified that our algorithm is faster than the conventional non-selective

method. Index Terms—registration, robot, object recognition, scan matching, intelligent space

IS0005

Distributed Object Transportation using Virtual Object

Gyuho Eoh, Seung-Hwan Lee, Tae-Seok Lee, and Beom H. Lee Seoul National University, Korea

Abstract— This paper presents a distributed object transportation technique using a virtual

object. Previous methods of object transportation have been required to have a global

navigation function with a feedback controller. In other words, all robots should have the goal

position to manipulate the object when using those methods, and with them it was difficult to

guarantee the wrapping condition of the object during transportation. The proposed technique,

however, enables the object to be transported without a global navigation function by means

of a new technique termed a virtual object. The proposed technique is divided into three

phases: the approaching phase, the enclosing phase, and the transporting phase. Simulated

experiments are presented to test the validity and practicality of the proposed method. Index Terms—Object transportation, virtual object, object closure

IS0006

Multi-Robot Formation Shape Control Using Convex Optimization and Bottleneck

Assignment

Jae D. Jeon and Beom H. Lee


Abstract—This paper considers formation shape control of multiple robots while minimizing

the maximum distance of robot covered. Previous studies have shown that the shape of

formation is set of similarity transformations of that and solved the problem by using convex

optimization. However, not only the similarity transformation but also permutation

transformation preserves the shape of formation. Therefore, this work extends the earlier

researches by considering the permutation factor. A threshold algorithm is employed to

approach the problem finding optimal permutation of final formation, known as bottleneck

assignment problem. This paper suggests an algorithm which alternately iterate the convex

optimization and the bottleneck assignment algorithm until reaching convergence. The

effectiveness of the proposed algorithm is presented by simulation in comparison with the

previous work. Index Terms—formation shape control, convex optimization, bottleneck assignment,

threshold algorithm

IS0007

Object Recognition Using Image Warping in an Intelligent Space

Doojin Kim, Jung H. Oh, and Beom H. Lee Seoul National University, Korea

Abstract—We propose a method to improve object recognition performance of a robot with

an intelligent space system (iSpace). Existing SIFT-based object recognition is powerful, but

it has still some limitations. Among limitations, we focus on degraded performance according

to the viewpoint change. In order to improve the performance, we use appearance estimation

of the object in the point of robot’s view using image warping based on the robot pose and

object pose. The proposed method is evaluated by experiments.

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Index Terms—image warping, intelligent space, SIFT-based object recognition

IS0008

An Indoor Localization System for Mobile Robots Using an Active Infrared Positioning

Sensor

Jung H. Oh, Doojin Kim and Beom H. Lee Seoul National University, Korea

Abstract—Infrared (IR) sensors have been widely used as a distance measuring sensors to

estimate the position of an object since they have short response time and high accuracy.

Therefore, we introduce the indoor localization system using an active infrared sensor and

passive landmarks. However, there were several types of deviations from the actual values.

We analyzed these errors and corrected them to develop the improved localization system.

Index Terms—Infrared sensor, artificial landmark, multi-robot, indoor localization, intelligent

space

IS0009

Automatic Schedule Control for Distributed Software Development in Cloud Computing

Environments

Chung Yung, Shao-Zong Chen, and Jen-Tsung Hsieh National Dong Hwa University, Taiwan

Abstract—This paper proposes an extension of automatic schedule control to the WebSD

management model of distributed software development in cloud computing environments.

Cloud computing environments provide more flexibility than conventional computing

environments. In particular, platform as a service (PaaS) provides more flexibility in

application design, development testing, deployment, hosting, team collaboration, web

service and database integration, scalability, and versioning. The WebSD model is a new

management model of distributed software development for cloud computing environments.

However, WebSD does not include functionality for schedule control. We design new

operations and add into the WebSD model such that the distributed software development

may be managed with automatic assistance in schedule control. We call the extended model

as SDot. Inherited from WebSD, SDot also offers a common platform for various roles

involved in the distributed software development, and SDot is also appropriate for the

management of distributed software development in cloud computing environments. We

present the application of SDot to a practical software project as a case study to show the

effectiveness of SDot in schedule control for the management of distributed software

development.

Index Terms—schedule control, distributed software development, software development

management, cloud computing environment.

IS0010

Software Process Improvement and Gaming using Essence: An Industrial Experience

Pan-Wei Ng

Ivar Jacobson International, Singapore

Abstract— Software development teams are often ill-trained and ill-equipped to improve the

way they develop software. As a result, process improvement is often left to those from

without the development team, such as quality assurance staff, coaches, and consultants.

This paper describes a novel process improvement approach that helps development teams to

quickly describe their existing processes and to discover for themselves ways which they can

improve. This not only gives teams a greater sense of ownership, but also lays the foundation

for sustained improvement. In particular, we demonstrate how to kick start process

improvement through a workshop. This workshop introduces an element of fun through the

21


use of games and dice throwing. This keeps participants highly engaged during the process

improvement workshop, which helps them truly appreciate how recommended practices can

work in their context, as well as side effects. Central to our approach is Essence, a

method-independent software engineering kernel. Essence’s object-oriented and state-based

representation provides building blocks for teams to describe existing processes and to enact

them (human) simulation gaming. This allows teams to explore improvement areas in a

self-directed manner, and to test how new practices work in their context. Our experience in

conducting a process improvement and gaming workshop for an embedded product company

demonstrates the viability of our approach.

Index Terms—software development, software process improvement, cards, simulation,

gaming, agile, kernel, language, alpha, Essence, fault slip through

IS0019

A Framework for Mobile Object Recognition of Internet of Things Devices and

Inference with Contexts

Jinsuk Kang

Ajou University, Korea

Abstract— In this paper, using a mobile phone with integrated camera, users can interact with

objects or Things in a very simple manner. A further advantage is that the objects themselves

don’t have to be tagged with any kind of markers. Also, Quantitative validation of

experimental results, while presenting an accurate rate, an early detection rate and a correct

duration rate with detecting the intent of several smart-phone performing various activities,

shows that proposed research contributes to implement effective intent recognition system.

Index Terms—Internet of Things, Smart-phone, LBS, Speeded up Robust, Object

Recognition.

IS0020

Increasing Microsoft Office Usability For Middle-Aged and Elder Users With Less

Computer Literacy

Ali Darejeh and Dalbir Singh Universiti Kebangsaan, Malaysia

Abstract— In the recent years, one of the most important factors that influence software

marketability is software interfaces. In this marketing rat race, Microsoft created a revolution

in its Office software. In year 2007, they replaced menus and toolbars with a new structure

called it Ribbon interface. Although the new interface has many advantages, usability

researchers are criticizing MS Office interface from different aspects. They believe, it still has

serious usability issues that hinder usage of MS Office for users with less computer literacy.

Since middle-aged and elder users with less computer literacy are a large group of users who

need to work with MS Office, this study aims to increase the learnability level among them by

proposing an interface design solutions for MS Office. This research utilized in-person

usability testing to evaluate the usability issues of MS Office in terms of both visual and

cognitive issues. In order to ensure the validity of the data, it was tried to triangulate the data

collection process by collecting data from different sources, namely, quantitative

measurement of users’ improvement, direct observation, and interview. The results of data

collection have led to design a prototype for MS Office. Based on the usability test on the

prototype and finding the factor that has led to users’ improvement, a number of solutions are

extracted for MS Office interface as a contribution to the body of knowledge. Putting these

solutions into action, self-learning would be promoted and learning issues of middle-aged and

elder users with less computer literacy would be decreased.

Index Terms—User interface; Microsoft Office; Elder novice users; Usability; middle-aged

novice users.

22


IS2003

Towards Reduction of Cost of Software Quality by Implementing Regression

Automation Gopinath Ganapathy and Deepa Vijay

Bharathidasan University, India

Abstract— The cost of Software quality is very high due to various hidden costs, besides it

brings huge losses to the client. The rework cost per bug is very high in post production. The

idea of this paper is to bring down the cost of quality without compromising the quality by

widening the test coverage and detecting bugs at earlier stages of testing cycle by

implementing regression automation approach.

Index Terms—Cost of Software Quality, Regression testing, Regression Automation,

Component Testing

IS2006

Analysis of HTTP and HTTPS Usage on the University Internet Backbone Links Shwan Dyllan, Hichem Dahimene, Phillip Wright, and Perry Xiao

London South Bank University/ICT Department, London, UK

Abstract— We present our latest study on monitoring and analysing the behavior of the LSBU

(London South Bank University) data network traffic. The analysis of the network activity

allows us to understand the network traffic characteristic, on a continuous basis, which

identifying the data traffic patterns on the gateways (JANET via Kings College & via

Imperial College) and identify and highlight the end-to-end performance of the network

path. In this paper, the PRTG network monitoring tool (Paessler AG, Germany) has been

chosen as this provides the capabilities of SNMP, port utilisation as well as sFlow. The

objectives of the study are to point out the impact of the LSBU network performance and its

congestions current state and predict the future data network traffic and congestions; to

identify the venerability of the network, due to high usage in particular time of the day; and to

check the capacity usage of the current resources to maximise performance and network

utilization.

IS3001

Overview of Selection Schemes In Real-Coded Genetic Algorithms And Their

Applications

Anil S. Mokhade & Omprakash G. Kakde Visvesvaraya National Institute of Technology

Abstract—The real-coded genetic algorithms are being used by the research community for

diverse applications. This diversity is further extended into the selection schemes of different

types and combination of them have been tried by the community. This paper is the overview

of the selection schemes in genetic algorithms with particular reference to real-coded genetic

algorithms. It discusses the evolution of genetic algorithms, their principles of working and

advantages of real-coded genetic algorithms. It brings out the important properties of the

genetic algorithms and then discusses the applications of real-coded genetic algorithms with

selection focus. It also points to the further research in combining the real-coded genetic

algorithm using 80:20 principles in selection involving intuition.

Index Terms—Real-coded Genetic Algorithms, Selection, 80:20 principle

23


Room 2



Session Chair: Prof. Jeng-Wei Lin, Tunghai University, Taiwan (R.O.C.)

IP0034

Adaptive Pixel-Selection Using Chaotic Map Lattices for Image Cryptography

Jirasak Sittigorn, Kitti Paithoonwattanakij and Charray Surawatpunya

King Mongkut's Institute of Technology Ladkrabang, Thailand

Abstract—Chaotic theory has been used in cryptography application for generating a

sequence of data that is close to pseudorandom number based on an adjusted initial condition

and a parameter. However, data recovery becomes a crucial problem due to the precision of

the parameters. This difficulty leads to limited usage of Chaotic-based cryptography

especially for error sensitive applications such as voice cryptography. In order to enhance the

encryption security and overcome this limitation, an Adaptive Pixel-Selection using Chaotic

Map Lattices (APCML) is proposed. In APCML, the encryption sequence has been adaptively

selected based on chaos generator. Moreover, the chaotic transformation and normalization

boundary have been revised to alleviate the rounding error and inappropriate normalization

boundary problems. In the experiments, the measurement indices of originality

preservation, visual inspection, and statistical analysis are used to evaluate the performance of

the proposed APCML compared to that of the original CML. Consequently, the APCML

algorithm offers greater performance with full recovery of the original message.

Index Terms—Chaotic Map Lattices, Image cryptography, Adaptive Pixel-Selection

IP0037

Strand Structures Detection for 2D Shapes based on Visibility

Songhe Wang, Zhiyang Li, Siyang Miao, Yegang Du, Wenyu Qu and Junjie Cao

Dalian Maritime University, China

Abstract—Strand structures such as the tails or feelers are common to man-made or natural

shapes. The knowledge of strand structures which a shape possesses can be exploited in its

matching, recognition, retrieval etc. Although a variety of methods in shape decomposition

have been presented, there is still a need for a robust and versatile method to detect the strand

structures, especially when the shapes have large deformation or noise. Based on the visibility

of points, we design a shape descriptor and propose an effective method to detect the strand

structures possessing in 2D shapes. An intuitive idea is that the points in strand structures can

only see small number of points from their reference points inside the shape. Meanwhile, the

visibility of a point is more robust than its convex-concave features. Extensive experiments

have been done on shapes with various kinds of deformation and large noise, demonstrating

the robustness and effectiveness of our strand structures detection method.

Index Terms—Strand structure, visibility, shape analysis.

IP0038

Algebraic Pattern Recognition

Michał R. Przybyłek

University of Warsaw, Poland

Abstract—This paper offers an algebraic explanation for the phenomenon of a new and

24


prosperous branch of evolutionary metaheuristics – “skeletal algorithms”. We show how this

explanation gives rise to algorithms for recognition of algebraic theories and present sample

applications.

Index Terms—Pattern recognition, data mining, theory discovery.

IP0039

Image Super Resolution with Adaptive Edge Enhancement Algorithm

Jaturon Ngernplubpla and Orachat Chitsobhuk

King Mongkut’s Institute of Technology Ladkrabang, Thailand

Abstract—In this paper, an adaptive edge enhancement algorithm is proposed to reconstruct a

super resolution image from a single low resolution one. In order to improve the results of the

high resolution reconstruction, edge statistics is learned from the scenes using a statistical

analysis of the maximum likelihood estimation to approximate edge boosting weight that

helps to significantly enhance edge information in the high frequency area. The edge sketch

image will be adaptively combined with the results of wiener filter according to the values of

the local variance. The experimental results on several test images show the success in

reconstructing the super resolution both quantitatively and perceptually.

Index Terms—Super Resolution, Image Enhancement, Invert filter.

IP0042

DCT-based Just Noticeable Distortion for Color Image/Video

Kuo-Cheng Liu Information Educating Center, Taiwan Hospitality & Tourism College,Taiwan

Abstract—In this paper, we design a DCT-based model for estimating spatio-temporal just

noticeable distortion (JND) profiles of color image/video. Based on a mathematical model

of measuring the base detection threshold for each DCT coefficient in the color component of

color images, the masking adjustments for luminance component and chrominance

components are utilized for estimating the spatial JND profiles. The above spatial JND

profiles are extended to video signals by incorporating the proposed block-based temporal

masking adjustment mainly considering local temporal statistics in luminance component.

The model is verified by designing a subjective viewing test of evaluating the visual quality

under the specified viewing condition. In the experiment, the test video is contaminated by

the estimated JND profiles in the DCT domain and is compared with the original video. The

simulation results show that the JND-contaminated color video has nearly perceptual lossless

visual quality and the model is able to estimate the JND profiles inherent in color videos.

Index Terms—Just-noticeable distortion (JND), temporal masking, color video

IP0043

Realistic Page-turning of Electronic Books

Chaoran Fan, Haisheng Li and Yannan Bai


Abstract—The booming electronic books (e-books), as an extension to the paper book, are

popular with readers. Recently, much efforts are put into the realistic page-turning simulation

of e-book to improve its reading experience. This paper presents a new 3D page-turning

simulation approach, which employs piecewise time-dependent cylindrical surfaces to

describe the turning page and constructs smooth transition method between time-dependent

cylinders. The page-turning animation is produced by sequentially mapping the turning page

into the cylinders with different radii and positions. Compared to the previous approaches, our

method is able to imitate various effects efficiently and obtains more natural animation of

turning page.

25


Index Terms—E-book, Page-turning, Realistic Simulation.

IP0044

Graph-based Image Completion Using Patch Offsets and Structure Feature

Weiwei Xue and Rong Zhang

University of Science and Technology of China

Abstract—Image completion solves the problem of filling missing region by using the

information from the same or another image. It is difficult to maintain a balance between

visual plausibility and efficiency among the existing algorithms. In this paper, we first

propose a novel graph-based approach combining patch offsets and structure feature to get

more coherent completion result. We further put forward creatively using a few dominate

offsets with an adaptive mechanism of labels and formulate image completion to be a

graph-cut optimization problem. Experiments on a wide variety of images show our method

yields better results in various challenging cases than state-of-art methods both on visual

impact and efficiency.

Index Terms—Image completion, image inpaiting, patch offsets, structure feature, energy

optimization

IP0049

Analysis of Mammogram Images based on Texture Features of Curvelet Sub-bands

Syed Jamal Safdar Gardezi, Ibrahima Faye and Mohamed Meselhy Eltoukhy

Universiti Teknologi PETRONAS, Malaysia

Abstract—Image texture analysis plays an important role in object detection and recognition

in image processing. The texture analysis can be used for early detection of breast cancer by

classifying the mammogram images into normal and abnormal classes. This study investigates

breast cancer detection using texture features obtained from the grey level co-occurrence

matrices (GLCM) of curvelet sub-band levels combined with texture feature obtained from

the image itself. The GLCM were constructed for each sub-band of three curvelet

decomposition levels. The obtained feature vector presented to the classifier to differentiate

between normal and abnormal tissues. The proposed method is applied over 305 region of

interest (ROI) cropped from MIAS dataset. The simple logistic classifier achieved 86.66%

classification accuracy rate with sensitivity 76.53% and specificity 91.3%.

Index Terms—Texture features, Curvelet transform, Grey level Co-occurrence Matrices

(GLCM), Mammogram analysis.

IP0051

Tensor Decomposition-based Color Image Watermarking

Yang He, Wei Liang, Junli Liang and Mingtao Pei

Beijing Institute of Technology, China

Abstract—This paper presents a robust color image watermarking algorithm, which embeds a

grayscale image into a color image using the higher order singular value decomposition

(HOSVD). We look the color image in the RGB color space upon as a tensor rather than three

independent channels. The color image is partitioned into non-overlapped patches

(sub-tensors), and their HOSVDs are computed. Moreover, a subtle preprocessing step, block

Arnold transform, is designed to improve the robustness to cropping attack. Experimental

results show that the proposed algorithm makes the watermarking invisible effectively and is

robust against wide variety of non-geometric and geometric attacks.

Index Terms—Color image watermarking, higher order singular value decomposition,

copyright protection.

26


IP0052

Automatic Extraction of Power Lines by Particle Filtering From Aerial Images

Famao Ye, Fuyu Li and Shihong Hu

Department of Computer Science and Engineering, Nanchang University, Nanchang，China

Abstract—In this paper an approach based on particle filtering to automatic extract power

lines from aerial images is presented. We integrate the similarity of grey value of power lines

into particle filtering to track the points on power lines, and use those extracted points to fit

the power line as a parabola. Moreover, a fully automatic initialization strategy is used.

Experimental results show that the proposed approach is a promising and fully automatic

method for extracting power lines from very complex background. This algorithm will play

an important role in the exact 3D-reconstructions of power lines that can help the power grid

company to ensure the safety of the power lines.

Index Terms—Feature extraction, particle filtering, power lines, aerial images.

IP0055

Belief Propagation Stereo Matching Algorithm Using Ground Control Points

Yingyun Yang, Qian Liang, Lipi Niu and Qin Zhang

Communication University of China, China

Abstract—This paper presents a Belief Propagation (BP) stereo matching algorithm using

ground control points. The proposed algorithm combines local and global stereo methods,

which first utilizes local stereo method to obtain an initial disparity map, then the ground

control points are selected from the initial disparity and used on belief propagation algorithm

for global stereo matching. Since using ground control points, the proposed algorithm

improves BP algorithm in convergence speed. Moreover, this paper proposes a color

constraint voting method to optimize the disparity in post-processing. Experimental results

show that the proposed algorithm shares low computational complexity but high matching

accuracy.

Index Terms—Stereo matching, ground control points (GCP), belief propagation, voting

method, cross search.

IP0056

Statistical Based MQ Arithmetic Coder

Nopphol Noikaew and Orachat Chitsobhuk

King Mongkut’s Institute of Technology Ladkrabang, Thailand

Abstract—Embedded block coding with optimized truncation (EBCOT) is a key algorithm in

JPEG 2000 image compression system. Recently, the bit-plane coder architectures are capable

of producing symbols at a higher rate than the capability of the existing MQ arithmetic

coders. To solve this problem, a design of a multiple-symbol processor for statistical MQ

coder architecture on FPGA is proposed. The proposed architecture takes advantage of

simplicity of single-symbol architecture while integrates several techniques in order to

increase the coding rate (more than one symbol per clock), reduce critical path, thus

accelerate the coding speed. The repeated symbol statistics has been analyzed prior to the

proposed architecture using lookahead technique. This allows the proposed architecture to

support encoding rate of maximum 8 symbols per clock cycle without stalls and without

excessively increasing the hardware cost. This helps to accelerate encoding process, which

leads to greatly increase throughput. From the experiments, for lossy wavelet transform, the

proposed architecture offers high throughput of at least 233.07 MCxD/S with effectively

reducing the number of clock cycles more than 35.51%.

Index Terms—MQ-Coder, Arithmetic Encoder, JPEG2000, Hardware Architecture, FPGA

Implementation.

27


IP0059

A New Method for Solving Overfitting Problem of Gentle AdaBoost

Shuqiong. Wu and Hiroshi. Nagahashi

Department of Computational Intelligence and Systems Science in Tokyo Institute of

Technology, Japan

Abstract—AdaBoost is a machine learning technique which integrates many weak classifiers

into one strong classifier to enhance its classification performance. Gentle AdaBoost is a

variant of AdaBoost which introduces Newton steps to the boosting process. It is proved that

the overall performance considering both the training error and generalization error of Gentle

AdaBoost is better than other AdaBoost variants on low-noise data. However, it suffers from

overfitting problem when the training data include high noise. To solve this problem, we

propose a new approach to limit the weight distortion according to a stretched distribution of

the whole sample weights. Experimental results have shown that our algorithm obtains a

better generalization error on both standard and noise-input datasets. Moreover, our method

does not increase the calculation time compared with Gentle AdaBoost.

Index Terms—Machine Learning, Overfitting, AdaBoost.

IP0072

Robust Visual Tracking via Spatio-Temporal Cue Integration

Yang He, Mingtao Pei, Min Yang, Yuwei Wu and Wei Liang


Abstract—Appearance modeling is an important and yet challenging issue for online visual

tracking due to the accumulation of errors which is prone to potential drifting during the

self-updating with newly obtained results. In this paper, we propose a novel online tracking

algorithm using spatio-temporal cue integration. Specifically, the object is represented as a set

of local patches with respect to the spatial cue. In terms of the temporal cue, we keep the

appearance models at different time and do appearance updating alternately. Taking full

advantage of both historical and current information of the tracked object, the drift problem is

alleviated. We also develop an effective cue quality measurement that combines similarity and

motion information. Both qualitative and quantitative evaluations on challenging video

sequences demonstrate that the proposed algorithm performs comparable against the

state-of-the-art methods.

Index Terms—visual tracking, multi-cue integration, appearance model, online update.

16:00pm-16:10pm Coffee Break



Session Chair: Prof. Hui Yu University of Portsmouth, the United Kingdom

IP0060

Short-Term Forecasting of Cloud Images Using Local Features

Wenhui Jiang, Fei Su1 and Jun Zhang

Beijing University of Posts and Telecommunications, China

Abstract—Short-term forecasting of cloud distribution within a sequence of all-sky images is

an important issue in meteorological area. In this work, a cloud image forecasting system is

28


designed, which includes three steps---cloud detection, cloud matching and motion

estimation. We treat cloud detection as a classification problem based on Linear Discriminant

Analysis. During the matching, a set of Speed Up Robust Features (SURF) are extracted to

represent the cloud, then clouds are matched by computing correspondences between SURF

features. Finally, affine transform is applied to estimate the motion of cloud. This local

features based method is capable of predicting the rotation and scaling of cloud, while the

traditional method is only limited to translational motion. Objective evaluation results show

higher accuracy of the proposed method compared with some other algorithms.

Index Terms—All-sky images, SURF, affine transform, color-invariant, cloud detection,

cloud prediction.

IP0061

Automatic Image Enhancement Based On Multi-scale Image Decomposition

Lu Feng, Zhuangzhi Wu, Luo Pei and Xiong Long

School of Computer Science and Engineering, BeiHang University, China

Abstract—In image processing and computational photography, automatic image

enhancement is one of the long-range objectives. Recently the automatic image enhancement

methods not only take account of the globe semantics, like correct color hue and brightness

imbalances, but also the local content of the image, such as human face and sky of landscape.

In this paper we describe a new scheme for automatic image enhancement that considers both

global semantics and local content of image. Our automatic image enhancement method

employs the multi-scale edge-aware image decomposition approach to detect the

underexposure regions and enhance the detail of the salient content. The experiment results

demonstrate the effectiveness of the approach compared to existing automatic enhancement

methods.

Index Terms—Image enhancement, Image decomposition, Diffusion map, Detail

enhancement

IP0063

A Real-Time Orientation Feature Descriptor for Portable Devices

Ping Yang, Hao Feng, Zhiguo Jiang and Danpei Zhao

Beijing University of Aeronautics and Astronautics, China

Abstract—A real-time orientation feature descriptor for portable devices is introduced. The

descriptor requires very low computational resources and has 16 dimensions shorter than all

existing methods. The patch of a candidate feature is firstly segmented into polar arranged

sub-regions, which enables us to achieve rotation invariance rapidly. Furthermore, the

principal orientation is used to describe each sub-region. The computations can be

considerably accelerated by using integral image. The descriptor is used for object tracking

and achieves 25 fps frame rate on mobile phone. Experimental results demonstrate that the

proposed method offers sufficient matching performance.

Index Terms—Descriptor, SIFT, integral image, embedded image processing, object tracking

IP0064

Touch Interface for Markless AR Based on Kinect

Ching-Tang Hsieh, Tai-Ku Kuo, Hui-Chun Wang, Yeh-Kuang Wu, Liung-Chun Chang and

Chien-Chung Chiu

Institute for Information Industry, Taiwan, R.O.C

Abstract—We develop an augmented reality (AR) environment with hidden-marker via touch

interface using Kinect device, and then also set up a touch painting game with the AR

environment. This environment is similar to that of the touch screen interface which allows

user to paint picture on a tabletop with his fingers, and it is designed with depth image

29


information from Kinect device setting up above a tabletop. We incorporate support vector

machine (SVM) to classify painted pictures which correspond to the inner data and call out its

AR into the tabletop in color images information from Kinect device. Because users can

utilize this similar touch interface to control AR, we achieve a marker-less AR and interactive

environment.

Index Terms—Kinect, SVM, AR, touch screen interface, marker-less.

IP0065

Robust Normal Estimation of Point Cloud with Sharp Features via Subspace Clustering Pei Luo, Zhuangzhi Wu, Chunhe Xia, Lu Feng and Bo JiaC

Beihang University, China

Abstract—Normal estimation is an essential step in point cloud based geometric processing,

such as high quality point based rendering and surface reconstruction. In this paper, we

present a clustering based method for normal estimation which preserves sharp features. For a

piecewise smooth point cloud, the k-nearest neighbors of one point lie on a union of multiple

subspaces. Given the PCA normals as input, we perform a subspace clustering algorithm to

segment these subspaces. Normals are estimated by the points lying in the same subspace as

the center point. In contrast to the previous method, we exploit the low-rankness of the input

data, by seeking the lowest rank representation among all the candidates that can represent

one normal as linear combinations of the others. Integration of Low-Rank Representation

(LRR) makes our method robust to noise. Moreover, our method can simultaneously produce

the estimated normals and the local structures which are especially useful for denoise and

segmentation applications. The experimental results show that our approach successfully

recovers sharp features and generates more reliable results compared with the state-of-the-art.

Index Terms—Point cloud, Normal estimation, Low-rank representation, Sharp feature,

Clustering.

IP0066

Performance Evaluation in Color Face Hallucination with Error Regression Model in

MPCA Subspace Method

Krissada Asavaskulkeit

Department of Electrical Engineering, Mahidol University, Thailand

Abstract—This paper proposes a novel face super-resolution reconstruction (hallucination)

technique for YCbCr color space.The underlying idea is to learn with an error regression

model and multi-linear principal component analysis (MPCA).

From hallucination framework, many color face images are explained in YCbCr space. To

reduce the time complexity of color face hallucination, we can be naturally described the

color face imaged as tensors or multi-linear arrays. In addition, the error regression analysis is

used to find the error estimation which can be obtained from the existing LR in tensor space.

In learning process is from the mistakes in reconstruct face images of the training dataset by

MPCA, then finding the relationship between input and error by regression analysis. In

hallucinating process uses normal method by back-projection of MPCA, after that the result is

corrected with the error estimation. In this contribution we show that our hallucination

technique can be suitable for color face images both in RGB and YCbCr space. By using the

MPCA subspace with error regression model, we can generate photorealistic color face

images. Our approach is demonstrated by extensive experiments with high-quality

hallucinated color faces. Comparison with existing algorithms shows the effectiveness of the

proposed method.

Index Terms—MPCA, error regression model, YCbCr

IP0069 Fingertips Detection for Human Computer Interaction System

30


Md. Jahangir Alam, Gulisong Nasierding, Atul Sajjanhar and Morshed Chowdhury

Deakin University , Australia

Abstract—Fingertips of human hand play an important role in hand-based interaction with

computers. Identification of fingertips’ positions in hand images is vital for developing a

human computer interaction system. This paper proposes a novel method for detecting

fingertips of a hand image analyzing the concept of the geometrical structural information of

fingers. The research is divided into three parts: First, hand image is segmented for detecting

hand; Second, invariant features (curvature zero-crossing points) are extracted from the

boundary of the hand; Third, fingertips are detected. Experimental results show that the

proposed approach is promising.

Index Terms—Fingertips detection, human computer interaction, curvature zero-crossing

points, invariant features, geometrical structure.

IP0070

A Method for Affine Invariant Curve Smoothing

Takahiro Nishida and Takashi Toriu

Osaka City University, Japan

Abstract—This paper proposes a new curve smoothing method invariant to affine

transformation. Curve smoothing is one of the important challenges in computer vision as a

procedure for noise suppression in shape analysis such as Curvature Scale Space (CSS).

Currently, Gaussian filtering is widely used among a lot of smoothing methods. However

Gaussian filtering is not affine invariant. This paper proposes a new method for curve

smoothing that is invariant under affine transformation such that area of any region in the

image does not change. Specifically, we introduce an affine invariant evaluate function with a

metric tensor. The original curve is smoothed by minimizing the evaluation function. We

mathematically prove that this method is affine invariant. Further, experimental results show

that the proposed method is almost never affected by affine transformation different from

usual Gaussian filtering. In the proposed method, processing results are expected to be not

affected much by variation of the viewpoint.

Index Terms—Smoothing; affine transformation; affine invariance; curve; metric tensor

IP0074

Quality Assessment of Color Images Based on the Measure of Just Noticeable Color

Difference

Chun-Hsien Chou and Yun-Hsiang Hsu

Tatung University, Taiwan

Abstract—Accurate assessment on the quality of color images is an important step to many

image processing systems that convey visual information of the reproduced images. An

accurate objective image quality assessment (IQA) method is expected to give the assessment

result highly agreeing with the subjective assessment. To assess the quality of color images,

many approaches simply apply the metric for assessing the quality of gray scale images to

each of three color channels of the color image, neglecting the correlation among three color

channels. In this paper, a metric for assessing color images’ quality is proposed, in which

the model of variable just-noticeable color difference (VJNCD) is employed to estimate the

visibility thresholds of distortion inherent in each color pixel. With the estimated visibility

thresholds of distortion, the proposed metric measures the average perceptible distortion in

terms of the quantized distortion according to the perceptual error map similar to that defined

by National Bureau of Standards (NBS) for converting the color difference enumerated by

CIEDE2000 to the objective score of perceptual quality assessment. The perceptual error

map in this case is designed for each pixel according to the visibility threshold estimated by

the VJNCD model. The performance of the proposed metric is verified by assessing the test

images in the LIVE database, and is compared with those of many well-know IQA metrics.

31


Experimental results indicate that the proposed metric is an effective IQA method that can

accurately predict the image quality of color images in terms of the correlation between

objective scores and subjective evaluation.

Index Terms—Image quality assessment (IQA), visual quality, perceptual redundancy,

variable just noticeable color difference (VJNCD), perceptual error map.

IP0075

Designing a Serious Game for Historical Heritage: A Case Study of Heerlen Roman

Bathhouse

Wen Qi

NingBo University of Technology, China

Abstract—The advances of computer games have shown their potentials for developing

edutainment content and services. Current cultural heritages often make use of games in order

to complement existing presentations and to create a memorable exhibition. It offers

opportunities to reorganize and conceptualize historical, cultural and technological

information about the exhibits. To demonstrate the benefits of serious games in terms of

facilitating the learning activities in a constructive and meaningful way, we designed a video

game about the Heerlen bathhouse heritage. This paper explains the design considerations of

this Roman bathhouse game, with a particular focus on the link between game play and

learning.

Index Terms—Cultural heritage, Roman Bathhouse, pedagogy, learning, serious game,

design.

IP0076

Semi-Automatic 2D-to-3D Conversion of Human-Centered Videos Enhanced by Age and

Gender Estimation

Mani B. Fard and Ulug Bayazit

Istanbul Technical University, Turkey

Abstract—In this work, we propose a feasible 3D video generation method to enable high

quality visual perception using a monocular uncalibrated camera. Anthropometric distances

between face standard landmarks are approximated based on the person's age and gender.

These measurements are used in a 2-stage approach to facilitate the construction of binocular

stereo images. Specially, one view of the background is registered in initial stage of video

shooting. It is followed by an automatically guided displacement of the camera toward its

secondary position. At the secondary position the real-time capturing is started and the

foreground (viewed person) region is extracted for each frame. After an accurate parallax

estimation the extracted foreground is placed in front of the background image that was

captured at the initial position. So the constructed full view of the initial position combined

with the view of the secondary (current) position, form the complete binocular pairs during

real-time video shooting. The subjective evaluation results present a competent depth

perception quality through the proposed system.

Index Terms—2D-to-3D conversion, telepresence, monocular camera, uncalibrated camera.

IP0077

Automatic Facial Expression Recognition Based on Features Extracted from Tracking of

Facial Landmarks

Deepak Ghimire, Joonwhoan Lee

Div. of Computer Engineering, Jeonbuk National University, Jeollabuk-do 561-756, Rep. of

Korea

Abstract—In this paper, we present a fully automatic facial expression recognition system

using support vector machines, with geometric features extracted from the tracking of facial

32


landmarks. Facial landmark initialization and tracking is performed by using an elastic bunch

graph matching algorithm. The facial expression recognition is performed based on the

features extracted from the tracking of not only individual landmarks, but also pair of

landmarks. The recognition accuracy on the Extended Kohn-Kanade (CK+) database shows

that our proposed set of features produces better results, because it utilizes time-varying graph

information, as well as the motion of individual facial landmarks.

Index Terms—Facial landmarks, geometric features, Gabor filters, elastic bunch graph

matching, support vector machines.

IP0085

A GPU-based Computer-assisted Microscopy System for Assessing the Importance of

Different Families of Histological Characteristics in Cancer Diagnosis

Dimitris Glotsos, Spiros Kostopoulos, Konstantinos Sidiropoulos, Panagiota Ravazoula,

Ioannis Kalatzis, Pantelis Asvestas, and Dionisis Cavouras

Technological Educational Institute of Athens, Greece

Abstract—In this study a Computer-Aided Microscopy (CAM) system is proposed for

investigating the importance of the histological criteria involved in diagnosing of cancers in

microscopy in order to suggest the more informative features for discriminating low from

high-grade brain tumours. Four families of criteria have been examined, involving the

grey-level variations (i.e. texture), the morphology (i.e. roundness), the architecture (i.e.

cellularity) and the overall tumour qualities (expert’s ordinal scale). The proposed CAM

system was constructed using a modified Seeded Region Growing algorithm for image

segmentation, and the Probabilistic Neural Network classifier for image classification. The

implementation was designed on a commercial Graphics Processing Unit card using parallel

programming. The system’s performance using textural, morphological, architectural and

ordinal information was 90.8%, 87.0%, 81.2% and 88.9% respectively. Results indicate that

nuclei texture is the most important family of features regarding the degree of malignancy,

and, thus, may guide more accurate predictions for discriminating low from high grade

gliomas. Considering that nuclei texture is almost impractical to be encoded by visual

observation, the need to incorporate computer-aided diagnostic tools as second opinion in

daily clinical practice of diagnosing rare brain tumours may be justified.

Index Terms—Computer-assisted microscopy, cancer, Seeded Region Growing, Graphics

Processing Unit, Probabilistic Neural Network, brain tumours, breast tumours.

IP0087

Iterative Contextual CV Model for Liver Segmentation

Hongwei Ji, Jiangping He and Xin Yang

Shanghai Jiaotong University, China

Abstract—In this paper, we propose a novel iterative active contour algorithm, i.e. Iterative

Contextual CV Model (ICCV), and apply it to automatic liver segmentation from 3D CT

images. ICCV is a learning-based method and can be divided into two stages. At the first

stage, i.e. the training stage, given a set of abdominal CT training images and the

corresponding manual liver labels, our task is to construct a series of self-correcting

classifiers by learning a mapping between automatic segmentations (in each round) and

manual reference segmentations via context features. At the second stage, i.e. the

segmentation stage, first the basic CV model is used to segment the image and subsequently

Contextual CV Model (CCV), which combines the image information and the current shape

model, is iteratively performed to improve the segmentation result. The current shape model

is obtained by inputting the previous automatic segmentation result into the corresponding

self-correcting classifier. The proposed method is evaluated on the datasets of MICCAI 2007

liver segmentation challenge. The experimental results show that we obtain more and more

accurate segmentation results by the iterative steps and satisfying results are obtained after

about six iterations. Also, our method is comparable to the state-of-the-art work on liver

segmentation.

33


Index Terms—Liver segmentation, active contour, CV model, context feature, iterative

contextual CV model, shape model.

IP0089

H.264/AVC Digital Fingerprinting Based on Spatio-Temporal Just Noticeable Distortion Karima Ait Saadi, Ahmed Bouridane and Guessoum Abderrazek

Centre de Développement des Technologies Avancées, (CDTA), Algeria

Abstract—This paper presents a robust adaptive embedding scheme using a modified

Spatio-Temporal noticeable distortion (JND) model that is designed for tracing the

distribution of the H.264/AVC video content and protecting them from unauthorized

redistribution. The Embedding process is performed during coding process in selected

macroblocks type Intra 4x4 within I-Frame. The method uses spread-spectrum technique in

order to obtain robustness against collusion attacks and the JND model to dynamically adjust

the embedding strength and control the energy of the embedded fingerprints so as to ensure

their imperceptibility. Linear and non linear collusion attacks are performed to show the

robustness of the proposed technique against collusion attacks while maintaining visual

quality unchanged.

Index Terms—Active video fingerprinting; Tardos fingerprinting code; content adaptive

watermarking; H.264/AVC codec.

Room 3

Afternoon Session ICLSE 2013 Authors’ Oral Presentation


Session Chair: Prof. Jun F. (James) Liang Stevens Institute of Technology, USA

G0003

Prospective Indonesian Plywood in the Global Market

Makkarennu and Akira Nakayasu Ehime University, Japan

Abstract—Since the mid-1980s, Indonesia has emerged as one of the biggest plywood

suppliers in the world. Indonesian plywood has dominated many major markets around the

world. However, due to economic crisis in 1997/1998 and other factors, the industry

experienced a decline in overseas markets which in which influenced the production and trade

sectors. In the last few years, Indonesian plywood industry has done many efforts of recovery,

find new market and continue enhancement of products image in international market. To

determine the potential future market for Indonesian plywood, current of Indonesian plywood

and trend of plywood exported were investigated. For the purpose of the study, data export

plywood to sixteen countries for five years (2008-2012) were collected. The obtained data

was analyzed by using single exponential smoothing method. Mean Absolute Percentage

Error (MAPE) and Mean Squared Error (MSE) are also used to calculating demand sales

forecast accuracy. The average of total production plywood from Indonesia will significantly

increase from 3.3 million m3 in 2012 to 3.5 million m3 in 2014. The most prospective market

of Indonesian plywood is Japan and followed by China, Saudi Arabia, the United Kingdom

and the United Arab Emirates

34


Index terms—Indonesian plywood, demand market, single exponential smoothing method

G0004

Lipase-Producing Bacterium and Its Enzyme Characterization

PatchaBoonmahome and WiyadaMongkolthanaruk

KhonKaen University, Thailand

Abstract—Recently, renewable energy is very important use for industrial development,

transport because it is environmental friendly and can reduce high cost of imported fossil fuel.

The evolution of biodiesel production has been reported in many researchers.

Transesterification process which is mainly reaction for biodiesel is required catalysts such as

acid, base catalyst or biocatalyst. In this study, 134 isolates were selected from soil

contaminated with oil in KhonKaen region by using culture medium containing 1% olive oil

and 0.0001% rhodamine B with incubation at 30°C for 48 h. These lipase-producing bacteria

were also determined their activities on agar medium with 1 % tributyrin. The isolate NA37

showed high lipase activity (190 mU/ml) detecting with p-nitrophenylpalmitate as a substrate.

Cooking-palm oil was contributed lipase production of the NA37 more than other oils. The

optimum temperature and pH for lipase production is 30°C and pH 9, resulting in lipase

activity of 481 mU/ml.

Index Terms—Bacterial lipase, rhodamine B, tributyrin

G0005

Screening and Potential for Biological Control of Anthracnose Disease

(ColletotrichumCapsici) on Chili Fruits by Yeast Isolates

PunikaChaisemsaeng, WiyadaMongkolthanaruk, and WandeeBunyatratchata


Abstract—Antagonistic yeasts to Colletotrichumcapsici were isolated from rhizosphere soil,

fruits and leaves of chili plants. The majority of yeast isolates (60 isolates; 31.09%) were

isolated from rhizosphere soil. In dual culture tests, five of the isolates screened (HS6, SS11,

SLD5, SS10 and PLN13) were found to inhibit C. capsici growth with biocontrol efficacies as

43.12%, 42.50%, 41.87, 41.25 and 40.62%, respectively. Morphological characteristics of

them were examined by observing cell and colony patterns. They produced

septatepseudohyphae, holoblastic budding and ascospore with two-layers. The colony of each

antagonistic yeast was globose, mucoid, white, glistering, raised and smooth. Based on

statistical analysis, these antagonistic yeasts (HS6, SS11, SLD5, SS10 and PLN13) could

significantly control disease incidence in chili fruits when compared control. The most

effective antagonistic isolate was PLN13, the percentage of survival in chili fruits being

60.00 %.

Index Terms—Biological control, antagonistic yeast, anthracnose disease, chili fruit

G0006

Antioxidant Properties of VaticaPauciflora and VaticaLowii Extracts

AisyahSalihahKamarozaman, JalifahLatip, and Wan Z.W.M. Zain

Mara University of Technology, Malaysia

Abstract—Ethyl acetate, methanol and ethanol crude extracts of the woods and twigs of

Vaticapauciflora as well as the woods and the stem barks of Vaticalowii have been examined

for their antioxidative properties. In this study, Diphenylpicryl-hydrazyl (DPPH), Total

Phenolic Content (TPC), Ferric Thiocyanate (FTC) and Thiobarbituric acid (TBA) methods

were used to determine the antioxidant properties of the crude extracts. A good correlation

was observed among the DPPH, FTC and TBA results of the ethanol crude extract from the

twigs of V.pauciflora(VTR)and acetone crude extract from the woods of V. lowii(VLBA). In

conclusion, VTR and VLBA crude extracts had demonstrated the strongest antioxidant

activity compared to other crude extracts in their species respectively.

35


Index Terms—Vaticapauciflora, Vaticalowii, crude, antioxidative, correlation

G0007

Synthesis, Spectroscopic Properties, and Cell Imaging of Novel Chlorinated Fluorescent

Proteins-labeling Probe

Xiang-Long Wu and Wu-Tu Fan

Northwestern Polytechnical University, China

Abstract—A novel chlorinated fluorescent proteins-labeling probe with a linker and reactive

group was prepared in 7 steps by the reaction of resorcinol with 3,

6-dichloro-4-carboxyphthalic anhydride in the presence of methanesulfonic acid. The spectral

properties and the pH dependence of the chlorinated fluorescein were studied. This

fluorescent probe showed absorbance peak at 508 nm and fluorescence peak at 524 nm. It was

found that it has absorption and emission maxima at long wavelengths and high fluorescence

quantum yield. Structures of target compounds and intermediates were determined by IR, MS, 1H NMR and element analysis. The fluorescence imaging of living cells showed that it was

localized in cell nucleus. This probe will be a useful reagent for the preparation of stable

fluorescent conjugates.

Index terms—Fluorescent dye, probe dye, cell imaging, spectroscopic properties, synthesis

G0009

Isolation and Characterization of Algicidal Bacterium against the Toxic

CyanobacteriumMicrocystisAeruginosa

KanchariyaPhakhajon and TheerasakSomdee

KhonKaenUniversity, Thailand

Abstract—Aquatic bacteria were isolated from eutrophic lake in KhonKaen Province,

Thailand. One hundred and eighty eight bacterial isolates were screened for

anti-cyanobacterial activity against the toxic cyanobacteriumMicrocystisaeruginosaby

well-diffusion and liquid-culture methods. The result showed that five isolates (KKU-A3,

KKU-A6, KKU-C3, KKU-D4 and KKU-E5) were capable of inhibiting M. aeruginosa. The

strain KKU-A3 showed the strongest anti-Microcystis by both methods. The pH optimal

conditions for the growth of isolate KKU-A3 were found to be pH 8. Glucose and casein were

found to be the most suitable carbon and nitrogen sources, respectively. On the basis of

morphological, cultural, physiological and chemical studies indicated that strain KKU-A3

belonged to the genus Streptomyces.

Index Terms—Anti-microcystis; microcystisaeruginosa; biological control

G0010

Isolation and Characterization of Microcystin-Degrading Bacterium

YupinPhujomjai and TheerasakSomdee


Abstract—The most commonly encountered cyanobacterial toxins in freshwater are

microcystins. Microcystins are extremely stable and resistant to chemical hydrolysis or

oxidation and can cause illness or death in animals and humans. In this study, a total of 15

bacterial strains were isolated and screened for microcystindegradative activity from

KaenNakhon Lake, KhonKaen Province, Thailand. Among these isolates, KKU-12

demonstrated degradative activity. It is an aerobic, gram-negative, slow-growing bacterium

and formed pale yellow-colored colonies. It was established that the optimal degradative

activity of NV-3 with cell concentration of 1.5x108 CFU/ml at 30

oC was 25 µg/ml

microcystins within 1 day.

Index Terms—Biodegradation, microcystin, Cyanobacteria

36


G0011

Heart Cycle Length Modulation by Electrical Neurostimulation in the High

RightHuman Atrium

Antje Pohl, Barbara Bellmann, NimaHatam, Patrick Schauerte, and Steffen Leonhardt

RWTH Aachen University, Germany

Abstract—Today, high resting heart rates are known to be an independent risk factor for a

higher overall mortality, irrespective of underlying coronary diseases. Neurostimulation is a

fast growing, wide spread approach to treat various disorders by electrical stimulation of

specific nerve cells. We present a technique of intracardiacneurostimulation to the

parasympathetic tone in the high right human atrium in the sinoatrial node area. Investigations

include recording the decreasing effects of heart rate, the anatomical endocardial visualization

of the right atrium, and developing gradient maps with parasympathetic and sympathetic

nerve bundles. During an ablation procedure within the sinus rhythm, patients are stimulated

with a bipolar electrode catheter which can be detected by an electroanatomical navigation

system. Sinus cycle length and corresponding ventricular heart rate are recorded before,

during and after stimulation and show a direct correlation with the start and end of

stimulation.

Index Terms—Electrical neurostimulation, modulation of heart rate,

intracardiacelectrograms, heart rate reduction

G0012

Overexpression of Ribosomal Genes Suppress Poly-Q (Glutamine) Induced Toxicity of

Human Huntington’S Disease Protein in Yeast

RishovChatterjee, BiranchiPatra, Garrett Lui, and Manita Cha-Um

Keck Graduate Institute of Applied Life Sciences, USA

Abstract—Huntington’s disease is a hereditary neurodegenerative disease in which a few cell

types in the sub-cortical brains undergo selective degeneration leading to neurological and

cognitive decline and death. The disease is caused by expanded CAG repeat within the first

exon of the Huntington gene (HTT). However, the mechanisms of molecular pathogenesis of

this disease are not well understood. There is currently no therapy or a cure. We used a

model of the disease in the simple organism Saccharomyces cerevisiae that previous workers

in the field had successfully utilized to determine putative molecular mechanisms related to

the disease. Using this model, we identified 41 novel genes that appear to suppress the toxic

effects of the mutant genes. We generated a network of physical and genetic interactions

among the human homologs of these novel suppressor genes, and analysis of this network

allowed us to propose for the first time that mRNA degradation mechanisms might be

affected in the diseased cells.

Index Terms—Huntington’s disease, systems biology, disease model, genetic modifier,

suppressor network, disease gene network

G0013

Expression and Purification of GnT15 an N-acetylglucosamine Binding Protein from

Dictyosteliumdiscoideum in E. coli

Kuo-Yuan Hwa, Pei-ChiehTien, and BoopathiSubramani

National Taipei University of Technology, Taiwan

Abstract—Glycosyltransferases play an essential role in protein glycosylation, localization

and function. In Dictyosteliumdiscoideum(D.discoideum), four GlcNActransferases genes,

gnt12, gnt13, gnt14 and gnt15 were identified by an in silico approach based on their

similarity to mammalian GlcNActransferase. The glycosyltransferase activities of these gene

products were unknown. In this study, we expressed D.discoideumGlcNActransferase

(DdGnT15) in E.coliand its biochemical function was explored. The phylogenetic alignment

showed DdGnT15 had higher similarity with hs β3GnT1 among the 9 human β3GnTs. The

37

http://www.medit.hia.rwth-aachen.de/


expressed DdGnT15 protein was purified by Ni-NTA column and confirmed by Western blot.

The DdGnT15 showed no GlcNActransferase activity with pyridylaminated

lacto-N-neotetraose as substrate under in vitro conditions.The carbohydrate binding activity

of DdGnT15 was measured by incubating with affinity matrix containing immobilized

carbohydrates. DdGnT15 bound to a matrix containing immobilized N-acetylglucosamine,

but not to other carbohydrates. These results helped to conclude that DdGnT15 is a

carbohydrate binding protein with binding specificity similar to that of wheat germ agglutinin.

We hypothesize that DdGnT15 is the first identified D.discoideumGlcNAclectin.

Index Terms—Dictyosteliumdiscoideum, GnT15, LARGE, sugar binding, lectin

G1002

Monitoring the Effects of Precipitation and Pineapple Cultivation on the Dynamics of

Nutrients and Chemical Properties in Peat Soils

NurQursynabt Boll Kassim, Adzmi bin Yaacob, and Abd Rashid bin Ahmad

Universiti Technologi Mara, Malaysia

Abstract—This study aimed at monitoring the effects of precipitation and pineapple

cultivation on the dynamics of nutrients and chemical properties of peat soils. Soil samples

were taken from 3 years and 4 years old pineapple plots as well as from an uncultivated

natural peat at 0-25 and 25-50cm depths from January 2012 until June 2012. Samples were

oven-dried, sieved and analyzed for total N, available P, exchangeable K, Ca, Na, Mg, CEC,

total C, conductivity and soil pH. Results of the analysis showed that available P,

exchangeable K, Mg, Na and CEC were significantly affected by both precipitation and

pineapple cultivation activities. Total C and exchangeable Ca were only affected by

precipitation whereas conductivity was related to cultivation activity. It can be concluded that

the amount of precipitation and pineapple cultivation activities influence nutrient availability

in peat soils.

Index Terms—Peat, nutrient, chemical properties, pineapple, precipitation, cultivated


Afternoon Session JCESD 2013 Authors’ Oral Presentation


Session Chair: Associate Prof. Takaaki Wajima Chiba University, Japan

CD0140

Assimilative Capacity Analysis of Air Pollutants over the Dawai Industrial Complex Sarawut Thepanondh and Nittaya Jitbantoung

Monash University, Australia

Abstract—The assimilative capacity of Dawai industrial complex, located in Mynamar has

been evaluated by the AERMOD air dispersion model. Maximum emission loadings of

PM-10, SO2 and NO2 are calculated and presented in the unit of amount per unit of time as

well as amount per area per unit of time. Assimilative capacity concentration is determined by

subtract the 90% of air pollution standard with the exiting measured air concentration in the

study area. Then the maximum loading is calculated using those assimilative capacity values.

It is found that assimilative capacity of PM-10, SO2 and NO2 in this area are 0.0025, 0.0031

and 0.0075 kg/ha/day, respectively. By considering the modeled results of maximum ground

38


level concentration, it is found that dispersions of air pollutants in this study are greatly

affected by complex topographical characteristic of the area.

Index Terms—Air model, assimilative capacity, Dawai industrial complex.

CD0142

Isotherm, Kinetic and Thermodynamic Studies on the Adsorption of Cd (II) and Zn (II)

ions from Aqueous Solutions onto Bottom Ash

Hatairat Sukpreabprom, Orn-anong Arquero, Wimol Naksata, Ponlayuth Sooksamiti, and

Sorapong Janhom

Chiang Mai University, Chiang Mai, Thailand

Abstract—Bottom ash is a waste material obtained from electricity generation through

combustion of coal at the Mae Moh power plant in Thailand. The adsorption of Cd (II) and Zn

(II) ions from aqueous solutions onto bottom ash was studied using batch experiments. The

effect of pH, contact time and temperature were investigated. Adsorption isotherm data for

metal ions was analyzed by the Langmuir and Freundlich isotherms. The Freundlich isotherm

properly described the adsorption data for all studied temperatures. The results revealed that

the adsorption kinetics followed pseudo-second-order kinetic model. Thermodynamic

parameters such as Gibbs free energy change (∆G°), enthalpy change (∆H°) and entropy

change (∆S°) were investigated. The calculated values showed that the adsorption process for

both Cd (II) and Zn (II) ions was endothermic.

Index Terms—Bottom ash, adsorption, isotherm, kinetic, thermodynamic.

CD0143

Preparation of Activated Carbon Derived from Rice Husk by Simple Carbonization and

Chemical Activation for Using as Gasoline Adsorbent

Arunrat Cheenmatchaya and Sukjit Kungwankunakorn

Chiang Mai University, Chiangmai, Thailand

Abstract—Rice from Thailand is the top ranking of the world. The by-product of rice

manufacturing is rice husk, which its usefulness is not fully attempt. The aims of research are

to make value-added activated carbons of rice husk and to study the optimum conditions for

gasoline adsorption using these activated carbons as adsorbents. All samples were analyzed

for gasoline adsorption by gas chromatograph-mass spectrometry (GC-MS). The activated

carbon of rice husk, which activated by H3PO4 at temperature of 450 °C, has the highest

adsorption capacity. According to gasoline adsorption study, the optimum conditions were 0.1

g of activated carbon, 70 °C of adsorption temperature and 30 minutes of adsorption time.

Physical characterization of the activated carbon obtained was performed by scanning

electron microscopy (SEM). The results present that the activated carbon of rice husk

possesses a high apparent surface area (SBET = 336.35 m2/g). They thus encourage the use of

activated carbon of rice husk as an adsorbent for the qualitative analysis of gasoline in order

to apply for gasoline sampling in arson case and to reduce the analysis cost from commercial

adsorbent.

Index Terms—Rice husk, activated carbon, gasoline, adsorption.

CD0146

The Potency of Phytoplankton in The Lakes of Universitas Indonesia (UI) As The

“Carbon-Eater”: A Preliminary Study in Revealing The Lake As A Possibly Another

Carbon Bank

S. Zahra, Ardiantiono, D. Oktavia, and E. Hardian

Universitas Indonesia (UI)

Abstract—Phytoplankton is well-known as microorganism that can undergo photosynthesis

39


and can only be found in aquatic ecosystems. Universitas Indonesia (UI), Depok, has six

lakes: Kenanga, Agathis, Mahoni, Puspa, Ulin, and Salam Lake. Those lakes are proved to

have an important role in regulating water circulation in UI and surroundings. However, study

about the role of those lakes in storing carbon which is resulted from photosynthesis done by

phytoplankton has not been conducted yet. We have done this study by using the

light-and-dark bottle method in five kinds of depth in each lake. That method is used to obtain

net productivity (NP) value then the result converted into the carbon sequestration rate (CSR).

Analysis of NP in each lake is done by comparing several parameters (depth, turbidity, and

biomass). Result of our study shows that NP has negative correlation with every parameter we

observed and has varied significance value, i.e. NP-depth (sig: 0.001), NP-turbidity (sig:

0.001), and NP-biomass (sig: 0.05). Based on calculations, six observed lakes have total of

CSR in the amount of 12,88 kg/hour. Knowing these facts could improve our knowledge to

determine what kind of lake which can be potentially used as carbon bank and maintain it

wisely.

Index Terms—Carbon sequestration rate, lake, phytoplankton, primary productivity.

CD0148

Biomass Type Selection for Boilers Using TOPSIS Multi-Criteria Model

S. Saelee, B. Paweewan, R. Tongpool, T. Witoon, J. Takada, and K. Manusboonpurmpool

Kasetsart University, Thailand

Abstract—Biomass has been an important renewable alternative fuel for boilers in Thailand.

In this paper, a multi-criteria model in making complex decisions by Technique for Order

Preference by Similarity to Ideal Solution (TOPSIS) was adopted as tool to select the

preferred biomass from three typical biomass types (wood chips, palm shells and wood

pellets). The multi-criteria are efficiency, price, ease to operate, Global Warming Potential

(GWP) and Acidification Potential (AP). The boiler efficiency was measured by direct

method in actual industrial boiler in Thailand. The prices were based on average Thailand

market price as of January 2013. The ease to operate was obtained by factory operator

interview. Global Warming Potentialand Acidification Potentialwere assessed by Life Cycle

Assessment (LCA) method. The decision weighting values for efficiency, price, ease to

operate, global warming potential and acidification potential were obtained by factory

management interview at 30%, 30%, 10%, 20% and 10% respectively. TOPSIS selected

wood chips as the most preferable biomass type followed by palm shells as second choice and

wood pellets as third choice. The TOPSIS value equations to find preferred biomass type for

different decision weighting values were then developed for general uses.

Index Terms—Biomass, boiler, efficiency, LCA, TOPSIS.

CD0149

Air Assimilative Capacity for Sulfur Dioxide and Nitrogen Dioxide: Case Study the

Eastern Region of Thailand

Jaeraya Ruangkawsakun and Sarawut Thepanondh

Mahidol University, Thailand

Abstract—The assimilative capacity of the Eastern region, Thailand is estimated by using

ventilation coefficient data and air quality model. Box model is used to predict the spatial and

temporal distribution of two pollutants namely SO2 and NO2. Meteorological characteristic of

the study area in the year 2010 was selected in the analysis. The results indicated that

Tha-Takiap, Chachaengsao was the highest assimilative capacity of SO2 and NO2. Temporal

variation of assimilative capacity of air pollution in the study area in which the highest

carrying capacity was in November.

Index Terms—Air assimilative capacity, air quality model, ventilation coefficient

40


CD0150

Source Apportionment Analysis of Airborne Volatile Organic Compounds in

Maptaphut, Thailand

Waewta Khantee and Sarawut Thepanondh

Mahidol University, Thailand

Abstract—This study is aimed to identify source of VOCs in Maptaphut sub-district, Rayong

province, Thailand. VOCs ambient concentrations data from Pollution Control Department

(PCD) were analyzed by receptor model using principal component analysis (PCA) and

BTEX ratios. BTEX ratios of monitoring data in Maptaphut area were similar to ratios of

roadside (Dindaeng) monitoring station which indicated that major emission source of VOCs

in Maptaphut area was mobile source. Principal component analysis of the data from Health

Promotion Hospital Maptaphut (HMTP) monitoring station was divided in 12 principal

components (PCs) as same as PCA for roadside (Dindaeng) station. Some PC of HMTP

monitoring station was contained VOCs profile similar to roadside station.

Index Terms—Volatile organic compounds (VOCs), maptaphut, BTEX ratios, principal

component analysis (PCA).

CD0151

Information Sharing in Socio-Technical System Demonstration Tests: Using Smart Grid

System Demonstration Tests in Japan

Youngjae Koh

Konan University, Nishinomiya, Japan

Abstract—This paper clarifies processes and the factor that promote to share information

about results of socio-technical systems demonstration test which is conducted by firms who

have different interest. By examining a smart grid system demonstration test in Kansai

Science and Yokohama Cities in Japan, this paper has two major findings.

First, information sharing among firms and institutions on demonstration tests as a whole

project has been promoted by the Project Promotion Council of the demonstration test which

is organized by the regional government of the demonstration test area invested one-third of

the subsidy to demonstration test area.

Second, the regional government of the demonstration test area works as a coordinator to

promote information sharing between firms who participated in demonstration test. Moreover,

they also work as a coordinator between firms and Ministry of Economy, Trade and Industry

(METI) of Japan who invest two-thirds of subsidy.

What became evident through this case study is for promoting information sharing among

firms who have different interest should be consider establishing the information sharing

organizational system by the test regional government-led and putting them as a coordinator

on demonstration phase.

Index Terms—Information sharing among firms, smart grid system, socio-technical system,

role of the regional government of the demonstration test area.

CD0152

Removal of Bromide from Desalinated Water Using Hydrotalcite

Takaaki Wajima

Chiba University, Japan

Abstract—Bromide (Br−) can form disinfection by-products (DBPs) in drinking water

sterilization (chlorination or ozonation) processes, and these DBPs have adverse effects on

human health. In this study, we tried to remove Br− from desalinated water, which was

produced from seawater by spray flash desalination, using hydrotalcite (HT), before

sterilization, for use as drinking water. Although HT did not remove Br− from desalinated

water by ion exchange, calcined HT removed Br− by reconstruction. Br

− removal by

41


reconstruction of calcined HT became saturated at sample/solution = 2 g/L after reaction for 2

h, and increased with increasing temperature. The adsorption kinetics was examined based on

pseudo-first-order and pseudo-second-order reaction models, and the adsorption rate

constants for these kinetics models were calculated. Adsorption experiments demonstrated

that the adsorption process fitted a pseudo-second-order kinetics model better than a

pseudo-first-order model.

Index Terms—Br

− removal, hydrotalcite, ion exchange, reconstruction.

CD0153

Reduction of Bromine Compounds in Oil Produced from Brominated Flame Retardant

Plastics via Pyrolysis Using a Reflux Condenser

Z. Z. Hlaing, T. Wajima, S. Uchiyama and H. Nakagome

Chiba University, Japan

Abstract—In this study, brominated acrylonitrile–styrene– butadiene (Br-ABS) was

pyrolyzed at 450°C using a reflux condenser. Br-ABS resins were pyrolyzed in the glass

reactor with a reflux condenser, and the reflux condenser temperature was varied from 150°C

to 200°C to reduce the bromine compounds in the oil produced via pyrolysis. The components

of the oils produced from Br-ABS via pyrolysis at 450°C included isopropyl alcohol, toluene,

ethylbenzene, styrene, cumene, propylbenzene, ᾳ-methylstyrene, butylbenzene, and other

aromatic compounds. The bromine compounds were 2-bromophenol, 3-bromophenol, and

2,4-dibromophenol. With increasing reflux condenser temperature, the yield of oil decreased,

the yield of residue increased, and the yield of bromine compounds decreased. Hence, the

concentrations of bromine compounds in oil obtained without a reflux condenser were higher

than that obtained with a reflux condenser, which indicates that the reflux condenser is

effective for reduction of bromine compounds in oil produced via pyrolysis.

Index Terms—Flame retardant, ABS, bromine compound, pyrolysis, reflux condenser.

CD0155

Waste Management Scenario through Community Based Waste Bank: A Case Study of

Kepanjen District, Malang Regency, Indonesia

Hasfarm D. Purba, Christia Meidiana, and Dimas W. Adrianto

Brawijaya University, Malang, East Java, Indonesia

Abstract—The population growth in Kepanjen District leads to the waste volume increase.

Due to the fact that the landfill in this area is approaching its maximum capacity, the local

government needs to find out other alternatives to treat the waste. This article proposes one

sort of solutions to prolong the landfill’s age through waste minimization involving

community participation. Therefore, waste reduction through waste bank has been initiated in

Kepanjen District. The primary survey in form of deep interview with related stakeholders

has been conducted to gain the data used for community participation analysis. The output of

community participation analysis is the level of community participation. The assessment of

participation level is used five indicators of participation rate determined by local

government. Afterwards, scenario approach is used. The scenario is made based on the level

of participation in Kepanjen District. The result showed that Kepanjen District has three kind

of participation rate which are low, medium, and high participation. Consequently, the

scenarios proposed are pessimist scenario, fair scenario, and optimist scenario for low,

medium, and high participation respectively. Pessimist scenario focuses on avoiding the

community to do open burning causing air pollution and health injury. Meanwhile, the fair

scenario starts to introduce the institution to the community to conduct the capacity building

of the community in waste separation. The optimist scenario proposes the implementation of

waste bank involving the community.

Index Terms—Waste Bank, Community Participation, Waste Management Scenario.

42


CD0156

A 3R Implementation Framework to Enable Circular Consumption in Community

Q. Z. Yang, Jifeng Zhou, and Kaihua Xu

Circular Economy Research Center and GEM High-Tech Co. Ltd, China

Abstract—Circular consumption is an indispensible part of a circular economic system for

sustaining the economic growth and mitigating environmental degradation and resource

depletion. How to put circular consumption into practice is however a challenge. This paper

presents the development of an implementation framework, based on the reduce-reuse-recycle

(3R) principle of the Circular Economy theory, for enabling circular consumption in

community and for accelerating the pro-3R lifestyle change at the household level. The

framework consists of a set of 3R functions to support residents’ practicing circular

consumption, a carbon labeling and carbon credit scheme, a partnership program with

producers and distributors, and mechanisms to shape pro-3R habits and sustainable lifestyles

in community. The framework has been implemented in twenty 3R-enabled community shops

in Wuhan and Jingmen cities in China. They demonstrate a novel type of functions that

retailing shops can perform in encouraging 3R activities to achieve the goals of circular

consumption.

Index Terms—3R principle, behavioral change, circular consumption, circular economy.

CD0158

Emission of Fine Particulate Matter and Nitrogen Dioxide from Incense Burning in

Shrines, Chiang Mai, Thailand

S. Bootdee and S. Chantara

Chiang Mai University, Chiang Mai, Thailand

Abstract—The inhalation of fine particles (PM2.5) and nitrogen dioxide (NO2) has been

associated with health problems. Incense burning is an important indoor source of these

pollutants. This research aims to measure PM2.5 and NO2 emitted from incense burning in

shrines on special occasions and during normal periods to assess the indoor air quality changes.

PM2.5 samples were collected on Teflon filters using a mini volume air sampler set up inside

the shrines, while NO2 samples were collected by tube type passive samplers, set up both

indoors and outdoors. When special events were compared with normal occasions, the mean

PM2.5 concentrations obtained from 8 and 24 hrs were significantly different (p<0.05).

Moreover, their concentrations were significantly higher on Chinese New Year than on other

special occasions. In the case of NO2, the concentrations were not different among a variety

of special occasions, but were higher than the values measured during the normal periods.

Moreover, NO2 concentrations were not found to be significantly different when the indoor

and the outdoor values were compared. The values of PM2.5 and NO2 concentrations at both

shrines were highest during the Chinese New Year. The main reason for this was clearly the

number of visitors, which was related with the amount of incense being burned.

Concentrations of NO2 and PM2.5 were well correlated (r = 0.580 - 0.779) in every occasion.

It can be concluded that the amount of incense being burned played a significant role in

pollutant emissions and the indoor air quality.

Index Terms—PM2.5, nitrogen dioxide, incense burning, indoor air quality.

CD0159

Measurement and Analysis of the Vertical Distribution Characteristic of the

Atmospheric Particle Concentration in Beijing District

Dawei Li and Yuening Bai

Beijing Jiaotong University, China

Abstract—In this paper, the vertical distributions of atmospheric particulate matter (PM2.5

and PM10) around residential building and in open space in Beijing district are measured and

analyzed. The PM data in residential building environment is obtained by measuring it at each

43


floor windows of the building, and the data in open space is obtained by measuring it at a

rising hot-air balloon. The vertical distribution characteristics of PM concentration for

different conditions of wind speed and direction are discussed. It is found that the distribution

of PM concentration is in close association with the changing of wind for both residential

building environment and open space. The results show that in breeze day, the highest

atmospheric particle concentration around the residential building appears at a height about

20 m, and the coverage heights (defined by PM value less than 80 of that on ground) of

PM2.5 and PM10 in free space are about 400 m and 100 m respectively; but for strong windy

day, the distribution of atmospheric particles tends to be smooth along the residential

building, and the coverage heights of PM2.5 and PM 10 in free space are all about 300 m.

This paper also investigates the relationship between the vertical attenuation of PM

concentration and the speed of wind at different heights. The natural accumulation

phenomenon of atmospheric PM under the effect of microgravity is observed.

Index Terms—Air pollution, particle number concentration, PM, vertical distribution.

Room 4

Afternoon Session ICSIM 2013 & ICCTD 2013 Authors’ Oral Presentation



CS002

Evolutionary Framework of a Decision Support System for Forensic DNA Analysis

Noor Maizura Mohamad Noor, Mohd Iqbal Hakim Harun and Ahmad Faiz Ghazali

Universiti Malaysia Terengganu, Malaysia

Abstract—DNA profiles from forensic evidence have contributed significantly in criminal

investigations. DNA profiles can be developed using several techniques including Short

Tandem Repeat (STR) analysis. The algorithm for data visualization in forensic DNA analysis

will be employed into a series of formulas by using a mathematical model that will be

represented by a graphical model. By applying visualization, it can increase the value of using

linear planning charts which, when combined with images pertaining to the distribution of

resource usage in time and space, permits additional insights on the quality of a schedule to be

glean.

CS012

S&P 500 Forecasting by Fuzzy Neural Network

Shang Jen Chuang and Chung Yung Lee

Abstract—In order to establish a new method to predict the highest-price, lowest-price, and

the close-price in the daily S&P 500 Index, this research use a combination of Back

-propagation Neural Network （BPNN） and Fuzzy Controller as the tools to build up models.

The data used in this research were collected between 03. Jan. 2000 to 02. Nov. 2012, 3230

days in total. The neural network input variables include daily open-price, a day before, two

days before, and a week prior’s open-price, close-price, highest-price, lowest price, and the

trading volume. The data collected from 2000~2007 were used for training; while those from

2008~2012 were used for testing.

44


CS014

Measurements and Analysis of Spectrum Occupancy in the Cellular and TV Bands

Shanjeevan Jayavalan, Hafizal Mohamad, Norazizah Mohd Aripin, Aiman Ismail, Nordin

Ramli, Azmi Yaacob and Ming Ann Ng

Abstract—In this paper, we investigate spectrum occupancy focusing on cellular and TV

broadcasting bands. Recently, TV band has attracted much attention due to the potential to

exploit the available white space, if any, to improve spectrum utilization opportunistically. TV

white space is a portion of spectrum in the UHF/VHF bands which is not utilized based on

time and location. For the sake of comparison, measurements have also been conducted to

investigate spectrum occupancy in cellular band, which is normally assumed to be fully

utilized. The findings in this paper are important to provide insight of the actual spectrum

utilization in the TV and cellular bands in Malaysia as compared to studies conducted in other

countries.

CS015

Investigation of Formal Methods based on Algebraic Specifications for Sensor Systems

Masaki Nakamura, Akira Urashima, Tomoji Toriyama, Takahiro Seino and Kokichi

Futatsugi

Abstract—We propose a way to use CafeOBJ algebraic specification language for describing

formal specifications of sensor systems and for verifying desired properties to be satisfied by

the systems. We give a way to not only verify specifications but also generate test cases from

the results of verifications. Although we take a simple mobile device application using

acceleration sensor as an example, our approach may be applied to practical sensor systems.

CS016

Extraction of Usefulness Factors of Reviews by Factor Analysis

Kenjo Yasui, Fumiko Harada, and Hiromitsu Shimakawa

Abstract—Customers buy products without watching and using products directly in

online-shopping. Customers cannot know product's details. Customers can make mistake in

selecting products and regret this selection. Our research aims to extract useful information

for deciding products customers buy in product review of online-shopping websites. We can

prevent customers' regret by using this information. In this paper, we discover common

factors between useful reviews for deciding products customers buy in online-shopping. We

use factor analyses of actual reviews to discover common factors. We make the dataset for

factor analyses in an experiment. The dataset is the set of critical sentences of actual reviews

and their scores to evaluate their characteristics, which the examinees give. In this result, we

can extract the common factors by which the useful reviews can be derived with the precision

over 50 %. The common factors can be used for extracting useful information in reviews.

Customers can shop without regrets in online-shopping by showing this information.

CS017

Empirical Evaluation of Machine Learning Algorithms for Fault Prediction

Arvinder Kaur andInderpreet Kaur

Guru gobind singh indraprastha university, delhi, india

Abstract—Producing quality software is a very challenging task looking at the size and complexity of

software developed these days. Predicting software quality early helps in using testing resources

optimally. So, many statistical and machine learning techniques are used to predict quality classes in

software. In this work, six machine learning classifiers have been used to estimate the fault proneness

of 5885 classes used in five open source software on the basis of object-oriented metrics calculated on

these classes. Bagging and J48 classifiers turn out to be the best one amongst the classifiers used.

Index Terms— Classifiers, Fault Proneness,Object-Oreiented Software Metrics, Quality Metrics.

45


T011

Classifying Imbalanced Data using an SVM Ensemble with K-Means Clustering in

Semicondutor Test Process

EUN-MI PARK and JEE-HYONG LEE

Sungkyunkwan University, Suwon, Korea

Abstract—In the semiconductor manufacturing process, it is important to predict defective

chips in advance for reduction of test cost and early stabilization of the production process.

However, highly imbalanced datasets in the semiconductor test process degrade the

performance of prediction. In order to enhance an SVM Ensemble, this study presents an

improved methodology using the K-means, which clusters the majority class and the minority

class before training an SVM. A result of the experiment with the actual data of the

semiconductor test process is reported to demonstrate that our approach outperforms other

methods in terms of classifying the imbalanced dataset.

T030

Video Geographic Information System using Mobile Mapping in Mobilephone Camera

Jinsuk Kang and Jae-Joon Lee

Ajou University, South Korea

Abstract—In this Paper is to develop core technologies such as automatic shape extraction

from images (video), spatial-temporal data processing, efficient modeling, and then make it

inexpensive and fast to build and process the huge 3D geographic data. The upgrade and

maintenance of the technologies are also easy due to the component-based system

architecture. Therefore, we designed and implemented the Video mobile GIS using a real-time

database system, which consisted of a real-time GIS engine, a middleware, and a mobile

client.

T034

Research on Location-Based Personalized Recommendation System

Huan Gao, Xi Tian, and Xiangling Fu

Beijing University of Posts and Telecommunications

Abstract—With the mobile Internet developing in China, the problem of information overload

has been brought to us. The traditional personalized recommendation cannot meet the needs

of the mobile Internet. In this paper, the recommendation algorithm is mainly based on the

collaborative filtering, but the new factors are introduced into the recommendation system.

The new system takes the user's location and friends’ recommendation into the personalized

recommendation system so that the recommendation system can meet the mobile Internet

requirements. Besides, this paper also puts forward the concept of moving business circle for

information filtering, which realizes the precise and real-time personalized recommendations.

This paper also proves the recommendation effects through collecting and analyzing the data,

which comes from the website of dianping.com.

T038

A High-Gain Observer-Based Pd Controller Design for Dynamic Positioning of Ships

Werneld Egno Ngongi and Jialu Du

Dalian Maritime University

Abstract—This paper addresses the problem of the dynamic positioning system of surface

ships in the presence of constant environmental disturbances. In this paper we propose a

high-gain observer-based PD controller to estimate unmeasured velocities of a surface ship.

Lyapunov stability theory is applied to prove its stability. Finally, simulation is carried out

using SIMULINK and appropriate results are obtained to illustrate the effectiveness and

performance of proposed controller.

46


T047

A Comparison of Efficiency of Data Transfer by Using Rsync, Rsync+Ssh and Dropbox

Wiman Banditvilai and Sirapat Boonkrong

King Mongkut’s University of Technology North Bangkok

Abstract—This paper presents a comparison of data transfer by using three protocols: Rsync,

Rsync+SSH and Dropbox on Ubuntu.The efficiency or the speed of the data transfer is

measured through data downloads and data retrievals. The results show that Rysnc is the most

efficient of the three protocols in both transfer speed and bandwidth usage.

T048

An Effective Self-Assessment based on Concept Map Extraction from Test-Sheet for

Personalized Learning

Keng-Hou Liew, Yu-Shih Lin, Yi-Chun Chang and Chih-Ping Chu

National Cheng Kung University

Abstract—Examination is a traditional way to assess learners’ learning status, progress and

performance after a learning activity. Except the test grade, a test sheet hides some implicit

information such as test concepts, their relationships, importance, and prerequisite. The

implicit information can be extracted and constructed a concept map for considering (1) the

test concepts covered in the same question means these test concepts have strong

relationships, and (2) questions in the same test sheet means the test concepts are relative.

Concept map has been successfully employed in many researches to help instructors and

learners organize relationships among concepts. However, concept map construction depends

on experts who need to take effort and time for the organization of the domain knowledge. In

addition, the previous researches regarding to automatic concept map construction are limited

to consider all learners of a class, which have not considered personalized learning. To cope

with this problem, this paper proposes a new approach to automatically extract and construct

concept map based on implicit information in a test sheet. Furthermore, the proposed

approach also can help learner for self-assessment and self-diagnosis. Finally, an example is

given to depict the effectiveness of proposed approach.

T053

Design of Mobile Interactive Learning Community Based on Electronic Cognitive

Apprenticeship Mechanism

Hong-Ren Chen and Ju-Hong Chen

National Taichung University of Education

Abstract—With the development of computer technology and the Internet, mobile learning

has become more important in E-learning applications. Being freed from traditional fixed

locations and times for the unilateral learning of formal curricula, a learning style allowing for

adaptation and interactivity as well as ubiquitous learning has emerged. From the perspective

of cognitive apprenticeship, in which learning cognition is guided by experts, and the

executive process of missions, objectives, and capacities is manifest, the master can observe

and discuss with the apprentices, and revise it toward a well-mixed interactive process,

promoting learner ability in diagnosing and reflecting upon errors. This study uses the

electronic cognitive apprenticeship system as the basis to integrate and construct a mobile

digital content learning community. Through the handheld devices or mobile devices used by

learners connected through wireless Internet, learners can read and learn digital content on

computer hardware fabrication. The learning behavior recorder for enhancing learner learning

activity, which integrates records for tracking and learning processes for the learner, in order

to conduct master discussion and guidance for apprentices in electronic cognitive

apprenticeship.

T2011 On the Laplacian Model for Particle-Based Simulation using Moving-Particle

Semi-Implicit (Mps) Method

Khai-Ching Ng and Tony Wen-Hann Sheu

47


Universiti Tenaga Nasional

Abstract—A general form of Laplacian model is derived for the numerical framework of

Moving Particle Semi-implicit (MPS) method. The existing proposals of MPS Laplacian

model available in the open literature can indeed be reproduced from this general Laplacian

model. Most importantly, the numerical accuracy of the evaluated Laplacian term particularly

on the irregular particle layout can be further improved by adjusting the tuning parameter

introduced in the general Laplacian model.





IP0093

Line Segment Linking Algorithm Based on Gradient Orientation

Bin Li, Wei Wang, Hao Ye

Tsinghua University, China

Abstract—Considering that existing line segment detection algorithms may detect a long line

segment as several short fragmented segments, a novel line segment linking algorithm is

proposed in this paper to improve the performance of line segment detection. Since the

gradient orientations of points on the Right Linking Segments (RLSs) have better consistency

than those on Wrong Linking Segments (WLSs), a feature descriptor is designed for each

candidate linking segment based on the gradient orientation information that can effectively

distinguish RLSs from WLSs. Experiment results of the testing images show that the

proposed method can greatly improve the original line segment detection results by

connecting most fragmented line segments more accurately.

Index Terms—line segment linking, image processing, Gradient Orientation

IP0095

Vector Features for Image Matching and Image Registration

Jianning Liang and Yan Zhou

East China University of Science and Technology, China

Abstract—Image matching plays an important role in a variety of applications. For matching

images, the features are needed to describe the local content of images. In this paper, we

proposed novel features (Vector Features) for image matching and image registration. The

vector features are based on the intensity differences of the pixels around the interesting

points and characterize the spatial distribution of gray values in an effective and efficient way.

In the experiments, the invariance of vector features to image rotation is verified. The vector

features perform well on the images of different focal lengths and the multi-view images. The

experiment on image registration demonstrates a good result.

Index Terms—Vector features, Image matching, Image registration.

IP0101 An Evaluation of Color Features for a Resistor Color Classification under Various

Illumination Situations

48


Yoshihiro Mitani and Yoshihiko Hamamoto

Ube National College of Technology, Japan

Abstract—In a previous study, we examined color spaces to read resistor lines of 11 different

colors (black, brown, red, orange, yellow, green, blue, purple, gray, white, and gold).

However, the color classification experiment was carried out only under a certain

illumination. In order effectively to classify real resistor color lines, the color classification

under various illumination conditions must be considered. In this paper, we examine 10 color

features (RGB, XYZ, YCbCr, YIQ, HSI, HSV, HLS, L*u*v*, L*a*b*, and I1I2I3) under the

various illumination. The experimental results show the effectiveness of the L*u*v* color

feature. Furthermore, in a very small training sample size situation, the classification

performance of the u*v* feature vector except for an intensity element L* outperforms that of

L*u*v*.

Index Terms—resistor reading, color features, various illumination, image processing

techniques, pattern recognition.

IP0103

Automated Identication of Mitochondrial Regions in Complex Intracellular Space by

Texture Analysis

Tuan D. Pham

The University of Aizu, Japan

Abstract—Automated processing and quantification of biological images have been rapidly

increasing the attention of researchers in image processing and pattern recognition because

the roles of computerized image and pattern analyses are critical for new biological findings

and drug discovery based on modern high-throughput and highcontent image screening. This

paper presents a study of the automated detection of regions of mitochondria, which are a

subcellular structure of eukaryotic cells, in microscopy images. The automated identification

of mitochondria in intracellular space that is captured by the state-of-the-art combination of

focused ion beam and scanning electron microscope imaging reported here is the first of its

type. Existing methods and a proposed algorithm for texture analysis were tested with the real

intracellular images. The high correction rate of detecting the locations of the mitochondria in

a complex environment suggests the effectiveness of the proposed study.

Index Terms—Identification of mitochondria; texture features; intracellular space;

high-content screening.

IP0105

Highlight Area Inpainting Guided by Illumination Model

Yifan Wang, Zhiguo Jiang and Jun Shi

Image Processing Center, School of Astronautics, Beijing University of Aeronautics and

Astronautics

Beijing Key Laboratory of Digital Media

Abstract—In this paper, we proposed a two-step algorithm based on the combination of the

exemplar-based algorithm and the illumination model to deal with specular images, especially

those contain saturated pixels in the highlight areas. First the proposed modified

exemplar-based algorithm is employed to process the unsaturated specular pixels under the

supervision of illumination model. Then we inpaint the rest regions in which the pixels are

saturated with original exemplar-based algorithm to obtain the final result. Experimental

results demonstrate that the proposed algorithm performs better on the images with saturated

pixels in the highlight areas compared with classical highlight removal and image inpainting

algorithms.

Index Terms—Specular component, diffuse component, saturated pixels, exemplar-based,

illumination model.

49


IP0107

Low-Complexity Demosaicing Via Multiscale Gradients

Chung-Yen Su and Yuh-Horng Chen

Department of Applied Electronics Technology, National Taiwan Normal University, Taipei,

Taiwan

Abstract—Demosaicing of the color filter array is one of the most important parts of the

image processing pipeline for single sensor digital cameras. In recent years, one of the most

successful algorithms is the multiscale gradients (MSG) algorithm. In this paper, several

modifications were made to the MSG algorithm such that the computational complexity is

significantly reduced while maintaining image quality.

Index Terms—Demosaicing, color interpolation, multiscale, low-complexity

IP0108

Estimation of Human Emotions Using Thermal Facial Information

Hung Nguyen, Kazunori Kotani, Fan Chen, and Bac Le

Japan Advanced Institute of Science and Technology, Japan

Abstract—In recent years, research on human emotion estimation using thermal infrared (IR)

imagery has appealed to many researchers due to its invariance to visible illumination

changes. Although infrared imagery is superior to visible imagery in its invariance to

illumination changes and appearance differences, it has difficulties in handling transparent

glasses in the thermal infrared spectrum. As a result, when using infrared imagery for the

analysis of human facial information, the regions of eyeglasses are dark and eyes’ thermal

information is not given. We propose a temperature space method to correct eyeglasses’ effect

using the thermal facial information in the neighboring facial regions, and then use Principal

Component Analysis (PCA), Eigen-space Method based on class-features (EMC), and

PCA-EMC method to classify human emotions from the corrected thermal images. We

collected the Kotani Thermal Facial Emotion (KTFE) database and performed the

experiments, which show the improved accuracy rate in estimating human emotions.

Index Terms—Thermal facial information, estimation human emotion, principal component

analysis, eigen-space method based on class-feature, KTFE database.

IP0109

Pipeline Inwall 3D Measurement System Based on the Cross Structured Light

Da Shen, Zhipeng Lin, Lei Xue, Qiang Zheng, Zichi Wang

Shanghai University, China

Abstract—In order to accurately realize the defect detection of pipeline inwall, this paper

proposes a measurement system made up of cross structured light, single CCD camera and a

smart car, etc. Based on structured light measurement technology, this paper mainly

introduces the structured light measurement system, the imaging mathematical model, and the

parameters and method of camera calibration. Using these measuring principles and methods,

the camera in remote control car platform achieves continuous shooting of objects and

real-time rebound processing as well as utilizing established model to extract 3D point cloud

coordinate to reconstruct pipeline defects, so it is possible to achieve 3D automatic

measuring, and verifies the correctness and feasibility of this system. It has been found that

this system has great measurement accuracy in practice.

Index Terms—Pipeline inwall, cross structured light, single CCD camera, calibration, 3D

measurement

IP0116

Font Generation of Personal Handwritten Chinese Characters

Jeng-Wei Lin, Chih-Yin Wang, Chao-Lung Ting, Ray-I Chang

Tunghai University, Taiwan (R.O.C.)

50


Abstract—Today, digital multimedia messages have drawn more and more attention due to

the great achievement of computer and network techniques. Nevertheless, text is still the most

popular media for people to communicate with others. Many fonts have been developed so

that product designers can choose unique fonts to demonstrate their idea gracefully. It is

commonly believed that handwritings can reflect one’s personality, emotion, feeling,

education level, and so on. This is especially true in Chinese calligraphy. However, it is not

easy for ordinary users to customize a font of their personal handwritings. In this study, we

performed a process reengineering in font generation. We present a new method to create font

in a batch mode. Rather than to create glyphs of characters one by one according to their

codepoints, people create glyphs incrementally in an on-demand manner. A Java

Implementation is developed to read a document image of user handwritten Chinese

characters, and make a vector font of these handwritten Chinese characters. Preliminary

experiment result shows that the proposed method can help ordinary users create their

personal handwritten fonts easily and quickly.

Index Terms—Web Font, Font Generation, Glyph Synthesis, Chinese Character, Handwriting

IP0117

Analyzing the Effect of the Distortion Compensation in Reversible Watermarking

Suah Kim and Hyoung Joong Kim

Korea University, South Korea

Abstract—Reversible watermarking is used to hide information in images for medical and

military uses. Reversible watermarking in images using distortion compensation proposed by

Vasily et al [5] embeds each pixel twice such that distortion caused by the first embedding is

reduced or removed by the distortion introduced by the second embedding. In their paper,

because it is not applied in its most basic form, it is not clear whether improving it can

achieve better results than the existing state of the art techniques. In this paper we first

provide a novel basic distortion compensation technique that uses same prediction method as

Tian’s [2] difference expansion method (DE), in order to measure the effect of the distortion

compensation more accurately. In the second part, we will analyze what kind of

improvements can be made in distortion compensation.

Index Terms—Reversible watermarking, reversible data hiding, distortion compensation,

removable distortion

IP0118

Cutting Line Determination for Plant Propagation

Li-Yun Lo, Chi-Chun Hsia, Hua-Hung Sun, Hsiang-Ju Chen, Xin-Ting Wu and Min-Chun

Hu

National Cheng Kung University, Taiwan

Abstract—Investigating an efficient method for plant propagation can help not only prevent

extinction of plants but also facilitate the development of botanical industries. In this paper,

we propose to use image processing techniques to determine the cutting-line for the

propagation of two kinds of plants, i.e. Melaleuca alternifolia Cheel and Cinnamomum

kanehirai Hay, which have quite different characteristics in terms of shape, structure, and

propagation way (e.g. propagation by seeding and rooting, respectively). The proposed

cutting line determination methods can be further applied to develop an automatic control

system to reduce labor cost and increase the effectiveness of plant propagation.

Index Terms—Plant propagation, seeding, rooting, k-curvature, thinning.

IP0119 Line Drawing Simplification by Stroke Translation and Combination

Yun Chien, Wen-Chieh Lin, Tsung-Shian Huang, and Jung-Hong Chuang

National Chiao Tung University, Taiwan

51


Abstract—In this paper, we propose a new algorithm for simplifying line drawing sketches.

First, we segment the strokes at the points of large curvature if desired. Then, we perform a

low-pass filter and use the result to assign a weight to every stroke. The strokes are moved to

the position of the higher weight. After that, we find the stroke pairs and combine them to

reduce the total number of the strokes, resulting in a cleaner line drawing art. This system also

cuts down the disordered and confusing small strokes and combines them to form long

strokes.

Index Terms—Stroke simplification, stroke translation, stroke combination

IP0126

Offline Signature Verification Using Local Binary Pattern and Octave Pattern

Sahil Ahlawat, Anubhav Goel, Surabhi Prasad and Preety Singh

The LNM Institute of Information Technology, India

Abstract—Signature verification holds a significant place in today's world as most of the

bank transactions, stock trading etc. are validated via signatures. Signatures are considered as

one of the most effective biometric identity but unfortunately signature forgery attempts are

quite rampant. To prevent this, a robust signature verification mechanism is essential. In this

paper, a new method has been proposed which uses Local Binary Pattern and geometrical

features. A new geometric property has been devised i.e. Octave Pattern. Performance is

analyzed by comparing random, semi-skilled and skilled forgeries with the genuine signature.

Index Terms—Signature Verification, Forgery, Local Binary Pattern (LBP), Octave Pattern,

Center of gravity, False Acceptance Rate (FAR), False Rejection Rate (FRR).

IP1010

A Geometrical Defect Detection Method fo r Non-silicon MEMS Part Based on HU

Moment Invariants of Skeleton Image

Cheng Xu, Jin Xin, Zhang Zhijing and Lu Jun


Abstract—In order to improve the accuracy of geometrical defect detection, this paper

presented a method based on HU moment invariants of skeleton image. This method have

four steps: first of all, grayscale images of non-silicon MEMS parts are collected and

converted into binary images, secondly, skeletons of binary images are extracted using

medial-axis-transform method, and then HU moment invariants of skeleton images are

calculated, finally, differences of HU moment invariants between measured parts and

qualified parts are obtained to determine whether there are geometrical defects. To

demonstrate the availability of this method, experiments were carried out between skeleton

images and grayscale images, and results show that: when defects of non-silicon MEMS part

are the same, HU moment invariants of skeleton images are more sensitive than that of

grayscale images, and detection accuracy is higher. Therefore, this method can more

accurately determine whether non-silicon MEMS parts qualified or not, and can be applied to

non-silicon MEMS part detection system.

Index Terms—Non-silicon MEMS part, HU moment invariants, skeleton, geometrical defect.

IP2005

Reversible Watermarking Using Edge Based Difference Modification

Xiaochao Qu, Suah Kim, Hyoungjoong Kim

Graduate School of Information Security, Korea University, Republic of Korea

Abstract—Reversible watermarking can embed data into the cover image and extract data

from stego image, where the original cover image can be recovered perfectly after the

extraction of data. Difference expansion (DE) and prediction error expansion (PEE) are two

52


popular reversible watermarking methods. DE has the advantage of small distortion while

PEE has the advantage of large embedding capacity and smaller prediction error compared

with pixel difference. In this paper, we proposed a novel method that combines the

advantages of DE and PEE, where the difference calculated between two pixels is combined

with the edge information near this pixel pair. The proposed difference calculation can

produce smaller pixel difference compared with the original simple pixel difference

calculation. Overlapping embedding is then used to increase the embedding capacity. Our

proposed method gives an excellent result which is shown by several experiments.

Index Terms—Reversible watermarking, DE, PEE, edge based difference modification

IP3011

A New Approach to Preserve Privacy Data Mining based on Fuzzy Theory in Numerical

Database

Run Cui and Hyoung Joong Kim

Graduate School of Information Security, Korea University

Abstract—With the rapid development of information techniques, data mining approaches

have become one of the most important tools to discover the in-deep associations of tuples in

large-scale database. Hence how to protect the private information is quite a huge challenge,

especially during the data mining procedure. In this paper, a new method is proposed for

privacy protection which is based on fuzzy theory. The traditional fuzzy approach in this area

will apply fuzzification to the data without considering its readability. A new style of

obscured data expression is introduced to provide more details of the subsets without reducing

the readability. Also we adopt a balance approach between the privacy level and utility when

to achieve the suitable subgroups. An experiment is provided to show that this approach is

suitable for the classification without a lower accuracy. In the future, this approach can be

adapted to the data stream as the low computation complexity of the fuzzy function with a

suitable modification.

Index Terms—Privacy protection, fuzzy theory, anonymity, database utility, data mining

The End

53


About Keynote Speakers

Prof. David Zhang

Hong Kong Polytechnic University，Hong Kong

Speech Title: Biometrics Authentication: New Challenge and Applications Abstract: In recent times, an increasing, worldwide effort has been devoted to the development of automatic personal identification systems that can be effective in a wide variety of security contexts. As one of the most powerful and reliable means of personal authentication, biometrics has been an area of particular interest. This interest has led to the extensive study of biometric technologies such as fingerprint and face recognition and the development of numerous algorithms, applications, and systems. This presentation will introduce a new biometrics technology, palmprint recognition. Two kinds of new applications (medical biometrics and aesthetical biometrics) are also given. Many useful results could be obtained to illustrate their effectiveness. Biography: Prof. David Zhang graduated in Computer Science from Peking University. He received his MSc in 1982 and his PhD in 1985 in Computer Science from the Harbin Institute of Technology (HIT), respectively. From 1986 to 1988 he was a Postdoctoral Fellow at Tsinghua University and then an Associate Professor at the Academia Sinica, Beijing. In 1994 he received his second PhD in Electrical and Computer Engineering from the University of Waterloo, Ontario, Canada. He is a Head, Department of Computing (2008-10) and Chair Professor since 2005 at the Hong Kong Polytechnic University where he is the Founding Director of the Biometrics Technology Centre (UGC/CRC) supported by the Hong Kong SAR Government in 1998. He also serves as Visiting Chair Professor in Tsinghua University, and Adjunct Professor in Peking University, Shanghai Jiao Tong University, HIT, and the University of Waterloo. He is the Founder and Editor-in-Chief, International Journal of Image and Graphics (IJIG); Book Editor, Springer International Series on Biometrics (KISB); Organizer, the International Conference on Biometrics Authentication (ICBA); Associate Editor of more than ten international journals including IEEE Transactions and so on; and the author of more than 10 books,over 250 international journal papers and around 30 patents from USA/Japan/HK/China. According to Science Citation Index (SCI)- Expended and Google Scholar, his papers have got over 8,000 citations and 18,000 citations, respectively. Professor Zhang is recognized as a world leading expert in biometrics, specially palmprint recognition. He is a Croucher Senior Research Fellow, Distinguished Speaker of the IEEE Computer Society, and a Fellow of both IEEE and IAPR.

54


Prof. Xudong Jiang, Nanyang Technological University

Speech Title: Discriminative or Misleading Information in Data-driven Feature Extraction for Image Recognition Abstract: Finding/extracting low-dimensional structures in high-dimensional data is of increasing importance, where images/signals lie in observational spaces of thousands, millions or billions of dimensions. The curse of dimensionality is in full play here: We have to conduct inference with a limited or no human knowledge. Machine learning is a solution that becomes hotter and hotter to boiling. This is evidenced by numerous techniques published in the past decade, many of which are in prestige journals. Nevertheless, there are some fundamental concepts and issues still unclear or in paradox. For example, we often need many processing steps in a complex information discovery/recognition system. As the information amount cannot be increased and must be reduced by any processing, why do we need it before the main processing? This seemly simple question easily answerable if each step uses different prior knowledge is nontrivial in machine learning. People proposed numerous machine learning approaches but seem either unaware of or avoiding this fundamental issue. Although extracting the most discriminative information is indisputably the ultimate objective for pattern recognition, this talk will challenge it as a proper or effective criterion for the machine learning-based dimension reduction or information/feature extraction, despite the fact that it has been employed by almost all researchers. Do think it in-depth and express your opinions during the talk.

Biography: Xudong Jiang received the B.Eng. and M.Eng. degree from the University of Electronic Science and Technology of China, Chengdu, China in 1983 and 1986, respectively, and received the Ph.D. degree from the Helmut Schmidt University Hamburg, Germany in 1997, all in electrical and electronic engineering. From 1986 to 1993, he worked as Lecturer at the University of Electronic Science and Technology of China where he received two Science and Technology Awards from the Ministry for Electronic Industry of China. He was a recipient of the German Konrad-Adenauer Foundation young scientist scholarship. From 1993 to 1997, he was with the Helmut Schmidt University Hamburg, Germany as scientific assistant. From 1998 to 2002, He worked with the Centre for Signal Processing (CSP), Nanyang Technological University, Singapore, first as Research Fellow and then as Senior Research Fellow, where he developed a fingerprint verification algorithm that achieved the fastest and the second most accurate fingerprint verification in the International Fingerprint Verification Competition (FVC2000). From 2002 to 2004 he worked as Lead Scientist and appointed as the Head

55


of Biometrics Laboratory at the Institute for Infocomm Research, A*Star, Singapore. From 2002 to 2004 he was an Adjunct Assistant Professor. and joined NTU as a full time faculty member in 2004. Currently, Dr Jiang is an Associate Professor (tenured) of School of Electrical and Electronic Engineering, Nanyang Technological University and is appointed as Director of Centre for Information Security (CIS). Dr Jiang has published over seventy research papers in international refereed journals and conferences. He is also an inventor of one PCT patent application, three Singapore patents and three United States patents, some of which were commercialized. Dr Jiang is a senior member of IEEE and has been serving as Editorial Board Member, Guest Editor and Reviewer of multiple international journals, and serving as Program Committee member, Keynote Speaker and Session Chair of multiple international conferences. His research interests include pattern recognition, computer vision, image and signal processing, biometrics, face recognition and fingerprint recognition.

Prof. Chin-Chen Chang Feng Chia University,Taiwan

Speech Title: Visual Cryptography

Abstract: The computer technologies have grown significantly in the past years. More and more multimedia products such as digital cameras have become popular, so digital images are shared and transmitted widely over Internet. However, transmitting secret or important images, such as military or commercial images, over Internet is very dangerous. Malicious users may monitor Internet and try to eavesdrop these valuable images. To protect these images, visual cryptography is necessary for secure communications over Internet. Herein, secret image sharing can be applied to achieve the goal of visual cryptography. In this speech, I will talk about some visual cryptosystems based on the concept of secret image sharing. As for the topic of secret image sharing, the secret image sharing scheme uses several noise-like images, called shadows, to replace the original image transmitting over the Internet. The shadows can avoid threats from the illegal persons to access the secret image directly. Secret image sharing techniques were proposed to be another branch outside traditional cryptographic techniques and steganography. Based on sharing secret images, visual cryptography for binary images, grayscale images and color images will be introduced. Biography: Professor C.C. Chang was born in Taichung, Taiwan on Nov. 12th, 1954. He obtained his

56


Ph.D. degree in computer engineering from National Chiao Tung University. He's first degree is Bachelor of Science in Applied Mathematics and master degree is Master of Science in computer and decision sciences. Both were awarded in National Tsing Hua University. Dr. Chang served in National Chung Cheng University from 1989 to 2005. His current title is Chair Professor in Department of Information Engineering and Computer Science, Feng Chia University, from Feb. 2005. Prior to joining Feng Chia University, Professor Chang was an associate professor in Chiao Tung University, professor in National Chung Hsing University, chair professor in National Chung Cheng University. He had also been Visiting Researcher and Visiting Scientist to Tokyo University and Kyoto University, Japan. During his service in Chung Cheng, Professor Chang served as Chairman of the Institute of Computer Science and Information Engineering, Dean of College of Engineering, Provost and then Acting President of Chung Cheng University and Director of Advisory Office in Ministry of Education, Taiwan. Professor Chang's specialties include, but not limited to, data engineering, database systems, computer cryptography and information security. A researcher of acclaimed and distinguished services and contributions to his country and advancing human knowledge in the field of information science, Professor Chang has won many research awards and honorary positions by and in prestigious organizations both nationally and internationally. He is currently a Fellow of IEEE and a Fellow of IEE, UK. On numerous occasions, he was invited to serve as Visiting Professor, Chair Professor, Honorary Professor, Honorary Director, Honorary Chairman, Distinguished Alumnus, Distinguished Researcher, Research Fellow by universities and research institutes. He also published over 1,100 papers in Information Sciences. In the meantime, he participates actively in international academic organizations and performs advisory work to government agencies and academic organizations.

Prof. Ming Yang

Southern Polytechnic State University, USA

Dr. Ming Yang is currently an Associate Professor with School of Computing and Software Engineering, Southern Polytechnic State University, USA. He obtained his BS and MS degrees in

57


Electrical Engineering from Tianjin University (Tianjin, China) in 1997 and 2000 respectively, and his Ph.D. degree in Computer Science and Engineering from Wright State University (Dayton, Ohio, USA) in 2006. His research interests include Information Security, Multimedia Communication, and Mobile Security. He is the author/co-author of over fifty peer-reviewed journal, conference, and book chapter publications. His research has been supported by US National Science Foundation and Computing Research Association. He is currently serving the Co-Editor-in-Chief of International Journal of Monitoring and Surveillance Technology Research.

Asso. Prof. Jun F. (James) Liang

Department of Chemistry, Chemical Biology, and Biomedical Engineering, Stevens Institute of Technology, USA

Speech Title: Biomaterials Associated Infections: An Emerging Challenges for Life Scientists and Engineers"

Conference Venue

Regal Riverside Hotel

34-36 Tai Chung Kiu Road, Shatin, Hong Kong Tel. (852) 2649 7878

Fax: (852) 2637 4748

E-mail: [email protected] Website: http://www.regalhotel.com/Regal-Riverside-Hotel/Main/Hotel-Home.aspx

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http://www.regalhotel.com/Regal-Riverside-Hotel/Main/Hotel-Home.aspx


Upcoming Conferences Information Welcome to our more upcoming conferences:

DATE NAME PAPER WILL BE PUBLISHED

BY

January

10-12, 2014，Toronto, Canada

ICMLC 2014

The 2014 6th International

Conference on Machine Learning

and Computing

http://www.icmlc.org/

All accepted papers will be published in the volume of International Journal of Machine Learning and Computing (IJMLC), and will be included in the Engineering & Technology Digital Library, Google Scholar, Crossref, ProQuest.

ICEIT 2014

2014 3rd International Conference

on Educational and Information

Technology

http://www.iceit.org/

All accepted papers will be published in the volume of International Journal of Information and Education Technology (IJIET), and will be included in the Engineering & Technology Digital Library, Google Scholar, Crossref and ProQuest

CCSCI 2014

The International conference on

communication systems and

computational intelligence

http://www.ccsci.us/

All the registered papers will be published by the Springer and it will be made available in the Springer Digital Library.

February 19-20, 2014,

Singapore

ICAPM 2014

ICAPM 4th International

Conference on Applied Physics and

Mathematics

http://www.icapm.org/

All accepted papers will be published in the volume of International Journal of Applied Physics and Mathematics (IJAPM), and will be included in the DOAJ, Engineering & Technology Digital Library, Nanowerk Database, Crossref, Google Scholar and ProQuest

ICMMA 2014

2014 International Conference on

Mechatronics Manufacturing and

Automation

http://www.icmma.us/

All accepted papers of ICMMA 2014 will be published by Applied Mechanics and Materials Journal (ISSN: 1660-9336). Applied Mechanics and Materials (ISSN: 1660-9336) is Indexed by Elsevier: SCOPUS www.scopus.com and Ei Compendex (CPX) www.ei.org. Cambridge Scientific Abstracts (CSA) www.csa.com, Chemical Abstracts (CA) www.cas.org, Google and Google Scholar google.com, ISI (ISTP, CPCI, Web of Science) www.isinet.com, Institution of Electrical Engineers (IEE) www.iee.org, etc.

ICAEE 2014

2014 International Conference on

Advances in Electronics

Engineering

http://www.icaee.org/

All accepted papers of ICAEE 2014 will be published by International Journal of Electronics and Electrical Engineering(IJEEE) which will be indexed by Ulrich's Periodicals Directory, Google Scholar, EBSCO, Engineering & Technology Digital Library and Electronic Journals Digital Library.

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Note

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2013 5th international conference on graphic and image ... · conducteda docking studyof...

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