RECENT ADVANCES in INFORMATION SCIENCE
Proceedings of the 3rd European Conference of Computer Science (ECCS '12)
Paris, France December 2-4, 2012
Recent Advances in Computer Engineering Series | 8
Published by WSEAS Press
ISSN: 1790-5109 www.wseas.org
ISBN: 978-1-61804-140-1
RECENT ADVANCES in INFORMATION SCIENCE
Proceedings of the 3rd European Conference of Computer Science (ECCS '12)
Paris, France
December 2-4, 2012
Published by WSEAS Press www.wseas.org
Copyright © 2012, by WSEAS Press
All the copyright of the present book belongs to the World Scientific and Engineering Academy and Society Press. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of the Editor of World Scientific and Engineering Academy and Society Press.
All papers of the present volume were peer reviewed by no less that two independent reviewers.
Acceptance was granted when both reviewers' recommendations were positive.
ISSN: 1790-5109
ISBN: 978-1-61804-140-1
North Atlantic University Union
RECENT ADVANCES in INFORMATION SCIENCE
Proceedings of the 3rd European Conference of Computer Science (ECCS '12)
Paris, France
December 2-4, 2012
Editor:
Prof. Sergio Lopes, University of Minho, Portugal Scientific Committee-Reviewers:
Hung-Jen Yang Onintra Poobrasert Ankit Patel
Vasile Paul Bresfelean Jaswinder Singh Dilawari Montri Phothisonothai Nikos Loukeris Varun Kumar Ojha Yulung Wu
Kevin Kam Fung Yuen Vehbi Neziri
Mihai Timis,Mihai Gabriel Badescu S. Sarala Subramani Paresh Rathod
Alejandro Fuentes-Penna Tiberiu Socaciu
Agoujil Said
Fernando Reinaldo Ribeiro Manuela Panoiu
Pavel Varacha Panagiotis Gioannis Giovanni Aiello Norazah Mohd Suki Elena Bautu
José Metrôlho Hime Aguiar Josip Music
Satish Kumar Duraiswamy Eleonora Catsigeras Aw Yoke Cheng Ana-Cornelia Badea Bautu Elena
Kandarpa Kumar Sarma Kyunghee Lee
Yu Zhang Álvaro Santos Christos Volos Md. Jakir Hossen Matteo Palai Yi-Chao Wu Petr Hajek Jainshing Wu Zakaria Zubi
Abdel-Badeeh Salem Yee Jiun Yap
Valentina E. Balas Daniela Litan Dzenana Donko
Maulahikmah Galinium Mazdak Zamani Claudiu Mereuta
Amirhossein Fereidountabar Kostantinos Kalovrektis
Narendra Singh Yadav Arianit Maraj
Dario Ferreira Noraida Haji Ali
Eleazar Jimenez Serrano Sorinel Oprisan
Miroslav Voznak
Ramadan Dervishi
Table of Contents
Plenary Lecture 1: Dimension-Oriented Software Engineering (DOSE): Rule-Based Software Development through Traceability Patterns
10 Arbi Ghazarian
Plenary Lecture 2: Prediction and Knowledge Engineering through Semantic Tagging in Natural Language Processing
11 Ahsan Nabi Khan
Plenary Lecture 3: Changing E-Business Philosophy in Web 2.0 Environment 12 Zeljko Panian
Plenary Lecture 4: Artificial Immune Systems and Swarm Intelligence for Pattern Recognition with Applications to Knowledge Discovery from Earth Observation Satellite Imagery
13 Victor-Emil Neagoe
Plenary Lecture 5: Application of Self Organizing Maps to Multi-Modal Adaptive Authentication System
14 Hiroshi Dozono
A Learning Game: “Pun & Pang’s Economics Adventures” 15
Alisa Songsriwittaya, Nattapon Chaovanasil, Tidhikarn Sriburana, Danita Thongthab
New Computational Intelligence-Based Techniques for Training Sample Selection/Generation to Improve Spatial-Contextual Classification of Multispectral Remote Sensing Imagery
21 Victor-Emil Neagoe, Adrian-Dumitru Ciotec, Catalina-Elena Neghina, Gabriel-Eduard Strugaru
Mining for Norms in Clouds - Complying to Ethical Communication through Cloud Text Data Mining
27 Ahsan Nabi Khan, Muhammad Aslam
Dimension-Driven Software Development Through Traceability Patterns 34 Arbi Ghazarian
Dimension-Oriented Inspection of Use Case-Based Requirements Specifications 40 Arbi Ghazarian, Rehman Chughtai
Comparison of Indoor Localization Techniques by Using Reference Nodes and Weighted k-NN Algorithms
46 Hakan Koyuncu, Shuang Hua Yang
Multi-Objective Optimization Approaches for Mixed-Model Sequencing on SOC Assembly Line 52 S. Mahmood Hashemi, Afshin Poorkhanali
Estimating Neandertal Contribution to the Upper Paleolithic H. Sapiens Gene Pool Using Genetic Drift Effect in Branching Process Model
57 Krzysztof A. Cyran, Marek Kimmel
DLX Simulator for Automated Checking of Assignments in a Computer Architecture Class 63 Jiri Kocourek, Josef Hlavac
Recent Advances in Information Science
ISBN: 978-1-61804-140-1 7
Finding Dependencies in Food Market Consumer Behavior 67 Pavel Turcinek, Jiri Stastny, Arnost Motycka
Unit-level Optimization for SVC Extractor 73
Chang-Ming Lee, Chia-Ying Lee, Bo-Yao Huang, Kang-Chih Chang
Computer Simulation of Spectra for Molecular Ring: LH4 - Different Types of Static Disorder 79 Pavel Herman, David Zapletal
The Arabic Center for Document Analysis and Recognition (ACDAR) - Structure and Perspectives
85 Husam A. Al Hamad, Aboubekeur Hamdi-Cherif
Genetic Algorithm for Forming Student Groups Based on Heterogeneous Grouping 92 Anon Sukstrienwong
Semantic Web Business Applications - A Scalability Model for the New Digital Economy 98 Sabina-Cristiana Necula
Multicriteria Evaluation of the Information Support of Management 104 Ludek Lukas, Lubos Necesal, Alena Paduchova
Automatic Cattle Identification based on Muzzle Photo Using Speed-Up Robust Features Approach
110 Ary Noviyanto, Aniati Murni Arymurthy
Visualization of Relations among DNA sequences using Self Organizing Maps 115 Hiroshi Dozono, Yutaro Kaneko
An Experimental Study on Performance Evaluation of Asymmetric Encryption Algorithms 121 Shahzadi Farah, M. Younas Javed, Azra Shamim, Tabassam Nawaz
Credibility Appearances in Blog Information Security Compliant Behavior 125 Sharifah Aliman, Saadiah Yahya, Syed Ahmad Aljunid
Concurrent Self-Organizing Maps for Change Detection in Time Series of Multispectral Remote Sensing Imagery
131 Victor-Emil Neagoe, Radu-Mihai Stoica, Alexandru-Ioan Ciurea
Performance Analysis in Handwritten Signature Validation 137
Facundo Triay, Nadina Battagliotti, Carolina Castillo, Laura Barone, Martin Agüero, Daniela Lopez De Luise
Architectural Principles for One-Chip Parallel Computer 143
Mihaela Malita, Gheorghe M. Stefan
Detecting Programmer Profiling Quality 149
Franco Madou, Martín Agüero, Gabriela Esperón, Daniela López De Luise
Statistical and Neural Models for Color Image Interpolation 154 Victor-Emil Neagoe, Andrei-Petru Bărar, Adrian-Dumitru Ciotec
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ISBN: 978-1-61804-140-1 8
Classification of Internet Products and Evaluation of Application Utilization Based on the Product Fulfillment Process
160 Hamed Taherdoost, Shamsul Sahibuddin, Suhaimi Ibrahim, Alaeddin Kalantari, Neda Jalaliyoon
Vertical Splitter Component for the Content-Driven Template-Based Layout System 165 István Albert, Hassan Charaf, László Lengyel
Protection of Data Centers – Physical Protection 171
Ludek Lukas, Marek Cahlik, Lukas Kralik
Quality of Education in Programming in Results of Students' Rating 177 Ján Záhorec, Alena Hašková, Michal Munk
Probabilistically Predicting Location of Human with Psychological Factors 183 Seungyeon Kim, Ha Yoon Song, Hoon Jung Koo
Authors Index 189
Recent Advances in Information Science
ISBN: 978-1-61804-140-1 9
Plenary Lecture 1
Dimension-Oriented Software Engineering (DOSE): Rule-Based Software Development through Traceability Patterns
Professor Arbi Ghazarian Department of Engineering Arizona State University
USA
E-mail: Arbi.Ghazarian@asu.edu
Abstract: Information systems (IS) development, due to its opportunistic nature, is often characterized as a lengthy, unrepeatable, and unpredictable process, leading to high costs. Repeatability and predictability are key characteristics of any efficient engineering production process. Both of these factors are a function of the degree of opportunism present in the various phases constituting the production process. It follows that the quest for an economically-viable approach to quality software development should necessarily move in the direction of substituting more of the opportunism inherent in conventional plan-driven or agile development approaches with prescriptivism (i.e., substituting subjective heuristics with a set of system and domain-wide universally-observed objective rules). In line with this philosophy, in this plenary speech, I will introduce a framework for IS development, called Dimension- Driven Software Engineering (DOSE), which is capable of systematically bridging the gap between software requirement and source code components through a set of prescriptive rules, called Traceability Patterns, which govern the structure of a software system.
Brief Biography of the Speaker:
Dr. Ghazarian is an Asst. Professor of Computing Studies at Arizona State University. He received his Ph.D. degree in Computer Science from the University of Toronto in Canada. His research interests lie in Software Engineering, in particular, requirements engineering, software traceability, software maintenance and evolution, software comprehension, software reliability, software design and architecture. In addition to his academic background, Dr.
Ghazarian has over 15 years of professional experience in the software industry and has been involved in several large-scale industrial software projects. He is the author of numerous papers published in international conferences and journals. He has been on the international technical program committee for the IASTED International Conference on Software Engineering and Applications (SEA). Dr. Ghazarian is the inventor of several novel approaches and concepts in software engineering, including the Traceability Patterns, Dimension-Oriented Software Engineering (DOSE), and the measurement of software regularities. Dr. Ghazarian’s theoretical software engineering research program aims at establishing a solid formal foundation for the field of software engineering.
Recent Advances in Information Science
ISBN: 978-1-61804-140-1 10
Plenary Lecture 2
Prediction and Knowledge Engineering through Semantic Tagging in Natural Language Processing
Professor Ahsan Nabi Khan Research Officer
University of Engineering and Technology Lahore, Pakistan
E-mail: ahsan.nabi@gmail.com
Abstract: There have been numerous attempts made to classify datasets into predictable structures and formats in order to test, train and organize knowledge. However, unstructured text in English, Urdu and other complex natural languages chiefly remains undiscovered, unaltered and unprocessed. Various computational linguistics tools and techniques including stemmers, parts-of-speech taggers, tag clouds, parsers and machine translators have been recently developed by online communities to model and use natural language dataset. Combinations of such linguistics and data mining techniques can produce XML and Ontology Standards to organize knowledge over the world wide web, cloud platforms and physical world in the ultimate. Working on these lines, we initiated our work by organizing personality features of human writing into psyche mapping. Now we are able to predict, assimilate, learn, classify and test any kind of feature set out of raw text into an ontology of semantic mapping. Various human understandable presentations of knowledge surveys are prepared through text-crawlers over the world wide web regenerating the view of knowledge we see around us.
Brief Biography of the Speaker:
Ahsan Nabi Khan is a Magna Cum Laude graduate from National University of Computer and Emerging Sciences, where he worked as a Research Assistant to Associate Professor, Liaquat Majeed Sheikh during 2008 through 2011, finally producing several internationally acclaimed publications in the field of Natural Language Processing and Text Data Mining. The best among those publications during the Assistantship was accepted in WSEAS Conference in Cambridge on Artificial Intelliegence, Knowledge Engineering and Databases in 2012, (AIKED'12). Recently Ahsan Nabi Khan has joined Masters of Science Program in University of Engineering and Technology, Lahore and subsequently continued research in NLP as a Research Officer in Center of Language Engineering, University of Engineering and Technology, Lahore. Ahsan Nabi has also been involved in teaching and software development in some pioneer software houses in cloud computing and academic solutions in Pakistan and currently also holds Director Education position in an NGO in Pakistan, Jesus of World Mission. His aim is to grow and help growth in academic excellence.
Recent Advances in Information Science
ISBN: 978-1-61804-140-1 11
Plenary Lecture 3
Changing E-Business Philosophy in Web 2.0 Environment
Professor Zeljko Panian Faculty of Economics and Business
University of Zagreb Croatia
E-mail: zpanian@efzg.hr
Abstract: In the early days of e-commerce, somewhere between 1994 and 2000, the driving force of doing business over and in the Internet was individual, personal initiative. Entrepreneurs with ideas – sometimes good and sometimes not successful in their implementation – tried their luck in this new kind of business. From today’s point of view, it was rather straightforward and even naive approach to E-Business and there is no wander many of the pioneers did not survive for a longer time.
After the famous dot-com crash at the very beginning of the 21st century companies started rethinking their E- Business strategies and tried to create sustainable business models based upon the value added by companies themselves, the new era in E-Business development. Many excellent models like brokerage, affiliate, co-operative and many more other worthy models were set up and many of them still dominate the contemporary E-Business arena. The main characteristic of all E-Business models developed in this stage is a kind of “lead-to-cash” approach.
But the emergence of Web 2.0 and particularly social networking technologies, supported by computing cloud technologies, revealed an undiscovered gold mine of business potentials – the power of masses and the worth of user-generated content. A growth of social media and networks as well as a huge number of connected customers may be and actually are an important source of virtually endless quantity of innovations and business opportunities.
So, the E-Business philosophy is changing towards consumers becoming agents of adding value to products and services offered by businesses while companies position themselves as mediators in collecting, selecting, shaping and implementing people’s contributions through sophisticated new E-Business models. Therefore, monetization of user-driven content forms a basis of the new generation off E-Business models.
Brief Biography of the Speaker:
Zeljko Panian is full professor of business informatics at The Faculty of Economics and Business, University of Zagreb, Croatia. He received his master degree in 1978 and Ph. D. in 1981 at the University of Zagreb. His scientific interests are primarily focused on Enterprise Information Systems, e-Business and Business Intelligence.
He wrote 33 books and more than 180 scientific and professional papers, and lectured as a visiting professor at the People’s University of China at Beijing, Florida State University in Tellahassee (USA), University of Maribor (Slovenia) and University of Sarajevo and Mostar (Bosnia and Herzegovina), as well as nearly all universities in Croatia.
For several times, he delivered invited, keynote and plenary speeches at WSEAS and other international conferences and symposiums.
Recent Advances in Information Science
ISBN: 978-1-61804-140-1 12
Plenary Lecture 4
Artificial Immune Systems and Swarm Intelligence for Pattern Recognition with Applications to Knowledge Discovery from Earth Observation Satellite Imagery
Professor Victor-Emil Neagoe
Department of Applied Electronics and Information Engineering Polytechnic University of Bucharest
Romania
E-mail: victoremil@gmail.com
Abstract: Man has learned much from studies of natural systems, to develop new algorithmic models able to solve increasingly complex problems. Enormous successes have been achieved through modeling of biological and natural intelligence, resulting so-called „intelligent systems”. These nature-inspired intelligent technological paradigms are grouped under the umbrella called computational intelligence (CI). This lecture explores the nature and role of two bio-inspired paradigms, (chapters of CI), namely Artificial Immune Systems (AIS) and Swarm Intelligence (SI).
Artificial Immune Systems (AIS) can be defined as adaptive systems, inspired by theoretical immunology and observed immune functions, principles and models, which are applied to problem solving. Swarm Intelligence (SI) is an innovative intelligent paradigm for solving optimization problems that originally took its inspiration from the biological examples of insects or animals that collectively exhibit complex behaviors, for example, bees, ants or birds.
On the other side, modern environmental remote sensing satellite imagery, owing to their large volume of high- resolution data, offer greater challenges for automated image analysis. This lecture is an approach dedicated to the improvement and experimentation of Artificial Immune Systems (AIS) and Swarm Intelligence (SI) models for pattern recognition with applications in Earth Observation (EO) imagery. For the SI paradigm, one considers the model of Ant Colony Optimization (ACO). First model is an Unsupervised Artificial Immune System (UAIS), inspired from the vertebrate immune system, having strong capabilities of pattern recognition. We have implemented this model for a LANDSAT 7ETM+ multispectral image from the region of Bucharest (Romania) with four pixel categories (agricultural fields, artificial surfaces, forest, and water) ; using UAIS, one leads to the correct clustering multispectral pixel score better than performances obtained by applying K-Means and Fuzzy K-Means algorithms. Second model uses pixel classification by Ant Colony Optimization (ACO) algorithm which takes inspiration from the coordinated behavior of ant swarms. Using the ACO algorithm for pattern recognition in remote sensing imagery does not assume an underlying statistical distribution for the pixel data, the contextual information can be taken into account, and it has strong robustness. The experiments of ACO classification for a Landsat 7ETM+ image dataset (the same as that used in the first model) lead to promising results.
Brief Biography of the Speaker:
Victor-Emil Neagoe was born in Pitesti (Arges county, Romania) on May 31, 1947. From 1965 till 1970 he attended the courses of the Faculty of Electronics and Telecommunications, Polytechnic Institute of Bucharest, Romania. In 1970 he received the M.S. degree of diplomat engineer in electronics and telecommunications as a head of his series with Honor Diploma. He also obtained the Ph.D. degree in the same field from the same institution in 1976 as well as the Postgraduate Master degree in applied mathematics and informatics from the Faculty of Mathematics, University of Bucharest in 1981 . From 1970 till 1976 he has been an Assistant Professor at the Faculty of Electronics and Telecommunications, Polytechnic Institute of Bucharest, while from 1978 till 1991 he has been a Lecturer at the same Institute and Faculty, courses: information transmission theory and applied electronics. Since 1991 he has been a Professor of the Polytechnic University of Bucharest, Romania, where he teaches the following courses: pattern recognition and artificial intelligence; digital signal processing; computational intelligence; data mining. He has been a Ph.D. supervisor since 1990. He has published more than 120 papers; his research interest includes pattern recognition, nature inspired intelligent techniques (computational intelligence), multispectral and hyperspectral satellite/aerial image analysis, image compression and recognition, biometrics, sampling theory. He has been a Member of IEEE since 1978 and a Senior Member IEEE since 1984. Prof. Neagoe has been included in Europe 500 . He has been also included in Who’s Who in the World 2011 and 2012 (28th and 29th Editions) as well as in Who’s Who in Science and Engineering 2011-2012 (11th Edition).
Recent Advances in Information Science
ISBN: 978-1-61804-140-1 13
Plenary Lecture 5
Application of Self Organizing Maps to Multi-Modal Adaptive Authentication System
Associate Professor Hiroshi Dozono Faculty of Science and Engineering
Saga University JAPAN
E-mail: hiroshidozono@gmail.com
Abstract: Recently, biometric authentication attracts more attention as the security system. Biometric authentication is classified to two types. The first type is biometric authentication using biological biometrics such as fingerprint, iris, and vein pattern. The authentication system using biological biometrics generally shows high accuracy. However, it needs special hardware for implementation. Furthermore, biological biometrics can be copied because they are static information. The other type is biometric authentication using behavior biometrics such as keystroke timings, pen patterns, and pressures writing signs or handwritten patterns and walking patterns. For implementing to a computer system or mobile system, the device that is equipped with the system can be used to obtain the behavior biometrics.
For example, many recent mobile devices are equipped with touch panels, which can be used to obtain sign or handwritten patterns. And it is difficult to imitate behavior biometrics because it is dynamic information. However, the accuracy of the authentication system using behavior biometrics is less than that of using biological biometrics because of the fluctuation of the behaviors. For solving this problem, integration of several biometrics is accepted to be effective. We proposed the authentication method using integrated information of multi-modal behavior biometrics.
For example, the integration of the pen speed and pen pressures of handwritten patterns, integration of the features of handwritten patterns and keystroke timing for Tablet PC, and integration of keystroke timings and key typing sounds obtained from keyboard and microphone equipped to the notebooks were proposed.
For the authentication system, we proposed Supervised Pareto learning Self Organizing Map(SP-SOM) which can integrate the multi modal biometrics naively based on the concept of Pareto optimality. SP-SOM registers the input data of several users and can identify the user from the test input for authentication. For this problem we proposed Concurrent SP-SOM and Concurnt P-SOM which uses small map for each user.
Brief Biography of the Speaker:
Hiroshi Dozono graduated from Kyoto University, Japan in 1984, and graduated Doctor cource of Kyoto Univeristy in 1989. He worked in Tokushima University for two years, and in Kumamoto University for three years and currently works in Saga University as Associate Professor. His research area is Object Oriented System, Knowledge Engineering, Control Theory, Artificial Intelligence, Evolutional Algotithm Neural Networks. Recently, he specialized in application of Self Organizing Maps to Bioinformatics, Security Systems, and Control systems. He is author of about 50 papers published in international journals and conference proceedings.
Recent Advances in Information Science
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Authors Index
Agüero, M. 137, 149 Hašková, A. 177 Necesal, L. 104 Al Hamad, H. A. 85 Herman, P. 79 Necula, S.-C. 98 Albert, I. 165 Hlavac, J. 63 Neghina, C.-E. 21 Aliman, S. 125 Huang. B.-Y. 73 Noviyanto, A. 110 Aljunid, S. A. 125 Ibrahim, S. 160 Paduchova, A. 104 Arymurthy, A. M. 110 Jalaliyoon, N. 160 Poorkhanali, A. 52 Aslam, M. 27 Javed, M. Y. 121 Sahibuddin, S. 160 Bărar, A.-P. 154 Kalantari, A. 160 Shamim, A. 121 Barone, L. 137 Kaneko, Y. 115 Song, H. Y. 183 Battagliotti, N. 137 Khan, A. N. 27 Songsriwittaya, A. 15 Cahlik, M. 171 Kim, S. 183 Sriburana, T. 15 Castillo, C. 137 Kimmel, M. 57 Stastny, J. 67 Chang, K.-C. 73 Kocourek, J. 63 Stefan, G. M. 143 Chaovanasil, N. 15 Koo, H. J. 183 Stoica, R.-M. 131 Charaf, H. 165 Koyuncu, H. 46 Strugaru, G.-E. 21 Chughtai, R. 40 Kralik, K. 171 Sukstrienwong, A. 92 Ciotec, A.-D. 21, 154 Lee, C.-M. 73 Taherdoost, H. 160 Ciurea, A.-I. 131 Lee, C.-Y. 73 Thongthab, D. 15 Cyran, K. A. 57 Lengyel, L. 165 Triay, F. 137 De Luise, D. L. 137, 149 Lukas, L. 104, 171 Turcinek, P. 67 Dozono, H. 115 Madou, F. 149 Yahya, S. 125 Esperón, G. 149 Malita, M. 143 Yang, S. H. 46 Farah, S. 121 Motycka, A. 67 Záhorec, J. 177 Ghazarian, A. 34, 40 Munk, M. 177 Zapletal, D. 79 Hamdi-Cherif, A. 85 Nawaz, T. 121
Hashemi, S. M. 52 Neagoe, V.-E. 21, 131, 154
Recent Advances in Information Science
ISBN: 978-1-61804-140-1 189
