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MATHEMATICAL METHODS, COMPUTATIONAL TECHNIQUES, NON-LINEAR SYSTEMS, INTELLIGENT SYSTEMS

MATHEMATICAL METHODS, COMPUTATIONAL TECHNIQUES, NON-LINEAR SYSTEMS, INTELLIGENT SYSTEMS

MATHEMATICAL METHODS, COMPUTATIONAL TECHNIQUES, NON-LINEAR SYSTEMS, INTELLIGENT SYSTEMS Proceedings of the 10th WSEAS International Conference on MATHEMATICAL METHODS, COMPUTATIONAL TECHNIQUES and INTELLIGENT SYSTEMS (MAMECTIS '08) Proceedings of the 7th WSEAS International Conference on NON-LINEAR ANALYSIS, NON-LINEAR SYSTEMS and CHAOS (NOLASC'08) Proceedings of the 8th WSEAS International Conference on WAVELET ANALYSIS and MULTIRATE SYSTEMS (WAMUS'08)

Corfu, Greece, October 26-28, 2008

Mathematics and Computers in Science and Engineering A Series of Reference Books and Textbooks

Published by WSEAS Press www.wseas.org

ISSN: 1790-2769 ISBN: 978-960-474-012-3

MATHEMATICAL METHODS, COMPUTATIONAL TECHNIQUES, NON-LINEAR SYSTEMS, INTELLIGENT SYSTEMS

Mathematical Regression Model for the Prediction of Concrete Strength

396

M. F. M. Zain, Suhad M. Abd, K. Sopian, M. Jamil and Che-Ani A.I

Growth of Peas Pisum Sativum L. in the Presence of Diesel and Bacteria Consortia in Peat and Sandy Soil

403

Laila Dubova, Olga Muter, Alina Mihailova, Ina Alsina, Vilhelmine Steinberga, Baiba Limane and Dzidra Zarina

Critical Analysis of GHG Emissions Generate by the Fossil Fuel Power Plant

408

Cristian Dinca, Cosmin Marculescu, Adrian Badea and Cora Gheorghe

Global Optimization of Non-Linear Systems of Equations by Simulating the Flight of a Projectile in the Conformational Space

414

Nicholas Harkiolakis

Using RFID Technology in Produce Traceability

421

Ruey-Shun Chen, C-C Chen, K.C. Yeh, Y-C Chen and C-W, Kuo

Identification a Potential Wave Energy Location in Malaysia using GIS

426

K.N. Abdul Maulud, O.A Karim, K. Sopian, Z. Md. Darus and E.E. Mohd. Ramly

Potential of Wind Energy in Sustainable Development of Resort Island in Malaysia: A Case Study of Pulau Perhentian (Perhentian Island)

431

Zuhairuse Md Darus, Nor Atikah Hashim, Siti Nurhidayah Abdul Manan, Mohd Azhar Abdul Rahman, Khairul Nizam Abdul Maulud and Othman Abdul Karim

Special Session I: Advanced Multimedia Annotation Tools and Methods

437

Automatic Annotation of Multimedia Content by User Clickthroughs: Enhancing the Performance of Multimedia Search Engines

439

Klimis Ntalianis, Anastasios Doulamis, Nicolas Tsapatsoulis and Nikolaos Doulamis

PIDALION: A Reconfigurable Agent-based Multimedia Search Engine Platform

447

Anastasios Doulamis and Klimis Ntalianis

A Multi-level Video Annotation Tool based on XML-dictionaries

455

Anastasis Kounoudes, Nicolas Tsapatsoulis, Zenonas Theodosiou and Marios Milis

Semantically Annotating and Querying Databases

461

Georgios Th. Karagiannis

Semantic Image Annotation via Hierarchical Classification

469

Nicolas Tsapatsoulis and Klimis Ntalianis

Special Session II: Advanced Techniques and Simulations for Defense Applications

479

Risk Preparedness and Management Scheme for Military Units

481

Nikolaos V. Karadimas, Nikolaos Doukas and Nikolaos P. Papastamatiou

MATHEMATICAL METHODS, COMPUTATIONAL TECHNIQUES, NON-LINEAR SYSTEMS, INTELLIGENT SYSTEMS

A Novel Neural Network Model Upon Biological and Electrical Perceptions

321

Saki Yatano, Atsushi Fukasawa and Yumi Takizawa

Analysis Method for Time-Space Sequences by a Novel Neural Network

326

Yumi Takizawa, Saki Yatano and Atsushi Fukasawa

On Lagrange Interpolation

332

Dana Simian and Corina Simian

Genetical Programming Evolving Algorithms

338

Mircea Iosif Neamtu

Advanced AI Techniques for Web Mining

343

Ioan Dzitac and Ioana Moisil

Performance Improvements of a Kohonen self Organizing Classification Algorithm on Sparse Data Sets

347

Francesco Maiorana

An Upgraded Petri Net Model of Systolic Architecture for Solving Differential Equations Based on Taylor’s Method

353

Perica Strbac, Milan Tuba and Dana Simian

A Generalization and a Quasi-Fractal Scheme of the Fibonacci Integer Sequence

359

J-B. Cazier, C. Mandakas and V. Gekas

Fortran Codes for Computing the Acoustic Field Surrounding a Vibrating Plate by the Rayleigh Integral Method

364

Stephen Kirkup

Electromagnetic Simulation by the FDTD method in Java

370

Stephen Kirkup, Irfan Mulla, Goodchild Ndou and Javad Yazdani

On Stability and Ambiguous Representation of Shock Wave Discontinuity: Numerical Analysis on the Basis of Model Equation of State

376

A.V. Konyukhov, A.P. Likhachev, V.E. Fortov and A.M. Oparin

Vertical Mining with Incomplete Data

380

Faris Alqadah, Zhen Hu and Lawrence J. Mazlack

The Suitability of Statistical Distribution in Fitting Wind Speed Data

386

Azami Zaharim, Siti Khadijah Najid, Ahmad Mahir Razali and Kamaruzzaman Sopian

Performance Testing of Wireless Intelligent Sensor and Actuator Network (WISAN) on a PreStressed Concrete Bridge M. F. M. Zain, V. Krishnamurthy, E. Sazonov, M. Jamil and I.M. Taib

390

MATHEMATICAL METHODS, COMPUTATIONAL TECHNIQUES, NON-LINEAR SYSTEMS, INTELLIGENT SYSTEMS

Features Sets based on Fuzzy Reasoning for Automatic Sea Floor Characterization

234

Mircea Boscoianu, Cristian Molder, Janel Arhip, Mihai I. Stanciu and Iulian C. Vizitiu

Decision Fusion for Improved Automatic License Plate Recognition

240

Mircea Boscoianu, Cristian Molder, Janel Arhip, Mihai I. Stanciu and Iulian C. Vizitiu

Analytical Model of the CKC-Based Activity Index Variance

246

Rok Istenic and Damjan Zazula

iSCSI Protocol Adaptation with 2-Way TCP Hand Shake Mechanism for an Embedded MultiAgent Based Health Care System

250

Shaikh Muhammad Allayear, Sung Soon Park and Jaechun No

On the Erosion Process Prediction of the Ductile Materials

256

Viorel-Puiu Paun, Constantin Udriste and Constantin Patrascoiu

Toward a Multi-Agent Model for the Care of Patients at The Emergency Department

264

Amani Daknou, Hayfa Zgaya, Slim Hammadi and Herve Hubert

Fast Algorithm for Detecting the Most Unusual Part of Digital Images with Application to Medical Databases

270

Kostadin Koroutchev and E. Korutcheva

Adaptive Authentication System for Behavior Biometrics using Supervised Pareto Self Organizing Maps

277

Masanori Nakakuni, Hiroshi Dozono and Shinsuke Itou

Base Selection Method for Recognition of Exon-Intron Boundaries

283

Susumu Katayama and Yujiro Tomoshige

Automatic Control based on Wasp Behavioral Model and Stochastic Learning Automata

289

Florin Stoica and Dana Simian

Using A* Algorithm for Directed Linear Arrangement Problem

295

Derchian Tsaih, Guangming Wu, Shaoshin Hung and Chinshan Wu

On Integrated Ant Colony Optimization Strategies for Improved Channel Allocation in Large Scale Wireless Communications

300

P.M. Papazoglou, D.A. Karras and R.C. Papademetriou

Structural Reliability Improvement using Non-Linear and Adaptive Multi-Model Techniques

307

Vassilios C. Moussas

A Critical Overview on the Recent Advances in Channel Allocation Strategies for Voice and Multimedia Services in Wireless Communication Systems and the Applicability of Computational Intelligence Techniques P.M. Papazoglou, D.A. Karras and R.C. Papademetriou

314

MATHEMATICAL METHODS, COMPUTATIONAL TECHNIQUES, NON-LINEAR SYSTEMS, INTELLIGENT SYSTEMS

Comparison of Nonlinear Methods for Hematocrit Estimation from the Transduced Anodic Current Curve

156

Hieu Trung Huynh, Jung-Ja Kim and Yonggwan Won

A Simulation of the Sport Small Arms Trigger Mechanisms

162

Martin Macko

Enhancing Tidal Prediction Accuracy in Singapore Regional Model Using Local Model Approach

165

Yabin Sun, Piyamarn Sisomphon, Vladan Babovic and Eng Soon Chan

Low Voltage Chaotic Oscillator

171

O. Tsakiridis, D. Sklavounos and J. Stonham

Fuzzy Investment Analysis Methods and Techniques

176

Ioan-Gheorghe Ratiu, Claudia-Georgeta Carstea, Marian Pearsica, Neculai Patrascu, Nicoleta David, Dana Damian and Lucian Patrascu

Risk Control in Strategic Management Projects

182

Claudia-Georgeta Carstea, Ioan-Gheorghe Ratiu, Neculai Patrascu, Marian Pearsica, Nicoleta David, Dana Damian and Lucian Patrascu

Electromagnetic Processes at Laser Beam Processing Assisted by an Active Gas Jet

187

Marian Pearsica, Ioan-Gheorghe Ratiu, Claudia-Georgeta Carstea, Cristian Constantinescu and Constantin Strimbu

Probability Model for Costs

193

Daniela Damian

The Role of Structure Rates in the Study of Company’s Liquidities and Solvability

198

Lucian Patrascu, Ioan-Gheorghe Ratiu, Claudia-Georgeta Carstea and Neculai Patrascu

Aspects Regarding the Length of Typical Trails in a Web Site

203

Nicoleta David

Friction and Heat transfer in Slip flow Boundary Layer at Constant Heat Flux Boundary Conditions

207

M.H. Yazdi, S. Abdullah, I. Hashim, A. Zaharim and K. Sopian

Geometric Entities Related by Inequalities

214

Constantin Udriste and Dragos Cioroboiu

Magnetic Dynamics Around a Configuration of Two Square AntiHelmholtz Coils

222

Constantin Udriste and Monica Pirvan

A New Approach in Wavelet based Speech Compression Jalal Karam

228

MATHEMATICAL METHODS, COMPUTATIONAL TECHNIQUES, NON-LINEAR SYSTEMS, INTELLIGENT SYSTEMS

Buckling of Rectangular Laminated Composite Thin Plates Subject to Non-uniform In-plane Loading - A Differential Quadrature Approach

72

M. Mohieddin Ghomshei and H. Oulad Dameshghie

Minimum Vertex Guard Problem for Orthogonal Polygons: a Genetic Approach

78

Antonio L. Bajuelos, Santiago Canales, Gregorio Hernandez and Ana Mafalda Martins

Non-linear Effect of Noise around Highway On-Ramp

84

Ding-Wei Huang

Bus Schedule Interfered by Traffic Lights

90

Wei-Neng Huang

Implementation of the DWT using Intel IA-32 SIMD Extensions

96

Enrique P. Martin and Jose Salvado

Component-based Face Detection in Colour Images

101

Jamal Ahmad Dargham and Ali Chekima

Fuzzy Usability Evaluation of Information Systems in Public Administration

106

Miloslav Hub and Michal Zatloukal

Chaotic and Higher Harmonic Oscillations in a Nonlinear ON-OFF Circuit with a Synchronous Switch

112

Nizar Jabli, Hedi Khammari and M.Faouzi Mimouni

Theoretical Approach to Estimate the Air Rate in a Heated Medium Temperature Furnace

119

Minea Alina Adriana

A New Approach in Obtaining Transfer Function for a Large- Scale Linear Network

122

Rashidi, F.R.M. ; Ismail, R.M.T.R. and Ishak, R.

Towards a Semantic Self-Organising Web Page-Ranking Mechanism using Computational Geometry

127

Marios Poulos and Sozon Papavlasopoulos

A Global Bibliometric Index for a Published Article

132

Sozon Papavlasopoulos and Marios Poulos

Rough Concept Analysis for Rough Classification

137

Yu-Kyung Kang and Suk-Hyung Hwang

Mathematical Modeling of Forest Fire Initiation

143

Valeriy Perminov

Structural Reliability Improvement using Non-Linear and Adaptive Multi-Model Techniques Vassilios C. Moussas

149

MATHEMATICAL METHODS, COMPUTATIONAL TECHNIQUES, NON-LINEAR SYSTEMS, INTELLIGENT SYSTEMS

Table of Contents Plenary Lecture I: Geometrical Approach of Multi-Time Maximum Principle

15

Constantin Udriste

Plenary Lecture II: Mathematical Modeling of Forest Fire Initiation

17

Valeriy Perminov

Plenary Lecture III: Nature Inspired Algorithms in Intelligent Systems Modeling

19

Dana Simian

Plenary Lecture IV: Global Optimization Strategies for Improved Bandwidth Management in Wireless Communications

20

Dimitrios A. Karras

Plenary Lecture V: Intelligent Systems

22

Ioan-Gheorghe Ratiu

Plenary Lecture VI: Outliers in Bilinear Time Series Model

24

Azami Zaharim

Special Session I: Advanced Multimedia Annotation Tools and Methods

25

Nicolas Tsapatsoulis, Anastasis Kounoudes amd Klimis Ntalianis

Special Session II: Advanced Techniques and Simulations for Defense Applications

27

Nikolaos G. Bardis and Nikolaos V. Karadimas

Reconstruction of Nonlinear Dynamics of a Cracked Rotor by Time Delay and Embedding Technique

29

Alfayo A Alugongo and Sithebe Thembelani

Qualitative Behavior of Mixing Phenomena - the Case of Axisymmetric Extensional Flows

38

Adela Ionescu and Daniela Coman

A Gentle Introduction to the Boundary Element Method in Matlab/Freemat

46

Stephen Kirkup and Javad Yazdani

The Proposed Autonomous Mobile Robot Navigation System

53

Ouarda Hachour

Constructive Formal Conversion of Moore Machine to Deterministic Finite Automata

59

Shagufta Riaz and Nazir Ahmad Zafar

A Genetic_FPGA Algorithm Path planning of an Autonomous Mobile Robot Ouarda Hachour

66

MATHEMATICAL METHODS, COMPUTATIONAL TECHNIQUES, NON-LINEAR SYSTEMS, INTELLIGENT SYSTEMS

Design of a Secure Chat Application based on AES Cryptographic Algorithm and Key Management

486

Nikolaos G. Bardis and Konstantinos Ntaikos

Integrated Information Life-Cycle, Data Management and Secret Key Lifecycle Management for Military Applications

492

Nikolaos Doukas, Konstantinos Ntaikos and Nikolaos Bardis

Effectiveness Data Transmission Error Detection using Check Sum Control for Military Applications

498

Nikolaos Doukas and Nikolaos Bardis

Blind Source Separation for Digital Data Protection

503

Nikolaos Doukas and Nikolaos V. Karadimas

Author Index

511

MATHEMATICAL METHODS, COMPUTATIONAL TECHNIQUES, NON-LINEAR SYSTEMS, INTELLIGENT SYSTEMS

A Global Bibliometric Index for a Published Article Sozon Papavlasopoulos, Marios Poulos Archives and Library Sciences, Ionian University Ioannou Theotoki 72 49100, Corfu (GREECE) [email protected], [email protected] http://www.ionio.gr/~mpoulos Abstract: In this study is investigated an approach to the scholar evaluation problem by taking into account both social and scholar factors that affect the status of a research in a particular research area. We define the ideal global bibliometric indicator as a point of reference consisting of a set of factors such as the impact factor of the journal and the significant relation of the journal to the scientific area considered for the evaluation Key-Words: - Bibliometrics, Impact Factor, Research Evaluation.

1 Introduction It’s conventional wisdom that the availability of scholar related information available on the World Wide Web has been dramatically increased. At the same time the Web becomes the main medium of publication and distribution of information. This creates a need for exploration, study, interpretation and presentation of its characteristics related with the study of scholar communication and evaluation. Simultaneously a need is being created for the study of patterns of behaviors, practices, models and tools of Web users. The results of surveys lead us to the understanding, improvement and the appropriate exploitation of the Web for the scientific research. Methods, techniques and tools originated in the application of bibliometric studies in traditional scientific publications, have affected the majority of bibliometric methods [1]. The most significant bibliometric techniques which are used in the above applications are: Citation Analysis the examination of the frequency and pattern of citations in articles, Scientometrics the science of measuring and analysing science, Scholarly Communication Studies how scholars find information, create knowledge, and communicate among themselves, with students, and beyond the academy with other audiences, Infometrics the study of the quantitative aspects of information in any form, and in any social group , Web-metrics metrics of the web, the Internet or other social networks, Social Network Analysis a structure made of nodes that are tied by one or more specific types of interdependency, such as values, visions, ideas, financial exchange, friendship, kinship, dislike, conflict or trade. [1-3]. However, as Snizek indicates, the problems of the above indicators are focused on a multi-parametric variable number of interdependent values [4]. In this

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paper we introduce a method in which we evaluate each paper with regard to two parameters. First, with respect to the journal in which this paper has been published and second to the value of the cited references of this paper. These indicators are presented as follows. For the evaluation of the value of a published journal the impact factor of this journal is used with often some negative examples [5]. For the evaluation of each of the cited references of the paper in question we take into account the following indicators: (a) the impact factor of the published journal a measure of the frequency with which the "average article" in a journal has been cited in a given period of time. (b) The degree of the significant relation (SR) of the scientific area, which is calculated between the cited and the published journals [6]. (c) The degree of the significance of the social relation between the authors of the published and the cited references as indicated by metadata schemas [7,8]. To this end in this research in progress paper we attempt to take into consideration the above factors in order to conceptualize a theoretic evaluation model. We used a technique of the fuzzy set theory in which all the above best indicators should be added in a general mathematic matrix. Finally, the global indicator of each paper is calculated with regard to the best integral model using the cross-correlation test. More details of this implementation are given in the implementation section along with conclusions and future research.

2 Method We start our discussion by formalizing the scholar evaluation problem. Considering a scholar S with a collection of scientific output represented by a set of scholarly productions/publications as

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MATHEMATICAL METHODS, COMPUTATIONAL TECHNIQUES, NON-LINEAR SYSTEMS, INTELLIGENT SYSTEMS

A  a1 , a 2  , a n  then his/her research impact B is the aggregation if the impact of his/her scholarly works as:

B  {P(a1 ), P(a 2 ),  , P(a n )} Where, Ω is an aggregation operation (e.g. averaging) over the popularity

P(a i ) of his/her research

a

production i . To the above formalization a set of open issues exist:  Regarding the variability of his/her research work how can we aggregate the impact of his production to a representative and generally accepted number?  How do we measure the popularity of the production? For example do we count the same the reference provided to a research work by a technical report and by a generally accepted “prestigious” journal? Scientometrics provide an insight to open issues in the evaluation of the importance of documents that represent the scientific production whereas in our case we look into the evaluation of the importance of web pages. We follow the assumption that those objects of evaluation are productions of social entities which transpose a degree of credibility from their research/social context. Therefore we continue with the definition of an Ideal Global Bibliometric Indicator (IGBI) to explore the above issues further.

2.1 The Construction of the Ideal Global Bibliometric Indicator (IGBI) When including a subsection you must use, for its heading, small letters, 12pt, left justified, bold, Times New Roman as here. The proposed global matrix creates a sophisticated schema, which is presented in figure 1, where each indicator is graduated by five fuzzy logic concepts. In particular, we consider a membership relation μΑ(u)=1 in which “u” is an element of the set A, and μΑ(u)=0 in the case “u” is not an element of the set A. Thus, in fuzzy sets a category for example an indicator category of the figure 1, may be to a set partially. The degree of membership is defined by a through a generalized characteristic function called membership function [9]:

member of the set and 1 means that it belong entirely. One way of defining a membership functions is though an analog function. As can be seen in Figure 1 we consider five membership functions representing five fuzzy sets labeled as Significant Relation (SR) none, small, medium high, very high. In each case we constructed an impartial scale which is defined separately in every case.  In particular, in the first case the impact factor we obtained is the maximum impact factor, which exists at this time in the same scientific area as the journal in which the investigated paper is published. Thus, this number represents the value 1 or the characterization of very high.  In the second case, we applied the same measure for the journal, in which the cited paper has been published. Thus, the value very high or 1 represents the highest impact factor of the journal category to which the cited journal belongs thematically.  In the third case, we compared if (5) five title keywords of the investigated journal are the same or non with the cited paper. For example if the (5) five keywords are the same for both papers the fuzzy element value is 1 or very high. In the fourth case, we investigated the degree of similarity between the topics among two investigated journals. In more details we compared the first 5 topics of each journal and if all are the same, then the significant relation of the cited journal and the journal that published the paper in question is 1 or very high.Finally, in the fifth case the social indicator is analyzed in five particular sub-elements which can be derived by metadata relationships supported by our recent work on the COAP vocabulary [8]. As can be seen in the Table 1, different kinds of relationships can be extracted by following the metadata definition of the social/research relationship between two or more scholars. The representing value for a fuzzy set transformation is given with a Boolean type value yes (1) or no (0). Thus a combined number of values [0,0,0,0,0] may correspond to the value 0, while a combined number of values [1,1,1,1,1] corresponds to the value 1 of the figure 1. The other combination, for example [0,1,1,1,1] or [1,1,0,1,1], etc, gives value 0.75 in the table 1. At this stage we constructed an ideal bibliometric indicators set [1,1,1,1,0] which represents the max fuzzy set value for a citation.

μ Α (u):U  [0,1] Where, U is called the universe, and A is a fuzzy subset of U. The values of the membership function are real numbers in the interval [0,1], where 0 means that the category of the bibliometric indexes is not a

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Vocabulary Element

Description

coap:author

Represents an author

Cˆ   A

subclass of FOAF

Cˆ

person coap:coauthor

relations between coap:author Encapsulates the publication details coap:affiliation

Describes the affiliation, temporal or permanent, under which the coap:author had when publishing the paper

Table 1: The basic elements of the COAP semantic vocabulary

Second Stage:

In this stage, we conceptualize an ideal theoretic article, which is represented using a matrix A1 (see equation 1).

3 The Implementation of the Method Figures and Tables should be numbered as follows: Fig.1, Fig.2, … etc Table 1, Table 2, ….etc. corresponding number in square brackets as shown at the end of this sentence [1]. This section is divided in four stages. In the first stage, we analyze the proposed Relative Global Indicator (RGI) model and in the second we applied this model in a typical article as instance. First Stage:

11

1 1 A1  1 1 0

.

. .

.

.

.

.

.

.

.

.

. .

. .

.

.

.

.

1 1 1 1 0 (3)

Then the coordinate vector of the above matrix is:

Cˆ x   A1 

In this stage, we create a theoretic article, which is represented using a matrix (see equation 1), which has 5xM dimensions, where the M is the maximum number of the published articles which belong to the same thematic area with the investigated paper. Each column consists of the five indicators that are depicted in the same order with the order of figure1.  A (u )

1 5* M

Thus, a vector of dimension is constructed, which is then used in the next stage. In other words, each column of the proposed matrix represents the publication, which cites the investigated article. In total, the above matrix depicts a degree of representation of all the citations of the investigated paper with regard to the total number (M) of the publications in the same subject area. In any case, the number of columns is completed. In the empty registries we consider that these are represented by the vector (0,0,0,0,0). This depiction interprets a non-cited article with the fuzzy values such as these presented in the figure 1. Generally, the proposed method is grown dynamically and is depended on the number of the global reference.

Indicates co-authorship

coap:publication

(2)

.

 A (u ) 12

.

.

.

.

.

.

Cˆ x

has

1 (5M )

 A (u ) M1

M2

M3

 A (u ) 14

15

Thus, the vector dimensionality.

 A (u ) (1)

. .

Thus, a vector Cˆ x of 1 (5M ) dimension is constructed, which is then used in the next stage. For example we adopted the number M=104.

 A (u )

.

A   A 13 (u )

 A (u ) .

.

(4)

.

.

.

.

.

.

 A (u )

.

 A (u )

M4

M5

The coordinate vector of the above matrix is:

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Third Stage: In this stage, we constructed a matrix, labeled A 2 (see equation. 5) which represents an article, which has been cited four times. The citations of this article are represented by the first (4) four columns and the other columns are completed by (M-4) or (104-4) vectors which contain zero elements (0, 0, 0, 0, 0). 0.25

0

0.75

1

0.50 0.75 0.50 0.25 A2  0 0 0.25 0.50 0.75 0.25 0.50 1 0 0.50 1 0.25

0 0 0 0 0

.

.

.

.

.

.

.

.

0

. .

0 0 0 0

. . .

.

.

.

.

.

.

(5)

Then, the coordinate vector of the above matrix is:

Cˆ y   A2 

(4)

Thus, a vector Cˆ y of 1 (5M ) or for example

1104 dimensionality is constructed. Fourth Stage: In this stage the extracted set of auto-correlation coefficients C^x of an ideal-cited paper case were submitted to the cross-correlation procedure [10] along with another cited paper C^y as described below: 5*104 1

r

 i 1

5*104 1

 i 1

ˆ  Cx ˆ )(Cy ˆ  Cy ˆ ) (Cx i i i i (6 )

ˆ  Cx ˆ ) 2 (Cy ˆ  Cy ˆ )2 (Cx i i i i

The extracted cross-correlation coefficient is a number between -1 and 1, which measures the degree to which two variable sets are linearly related. In this case, this procedure was implemented via corcoeff.m function of matlab software and produced a correlated number 0.0002.

4 Conclusion

Figure 1: The membership functions and the ‘universe’ for each bibliometric indicator

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[7] Brickley, D. and L. Miller.(2006). FOAF Vocabulary Specification" Retrieved July, 2006 (http://xmlns.com/foaf/0.1/). [8] Korfiatis, N., Poulos, M., & Bokos, G. (2006). Social Metadata for the Impact Factor. The Electronic Library (TEL) Journal. (Forthcoming) [9] Kasabov N. (1996) Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering, MIT Press,. Fuzzy systems. (sections 3.1.1-3.1.2, pp.167-169). [10] Morrison, N., Donald, F., 1976, Multivariate Statistical Methods, (New York; McGraw-Hill Book Company,) [11] Bollen, J., Rodriguez, M.A., Van de Sompel, H., (2006). Journal Status, Scientometrics, volume 69, number 3 [12] G. Lewison and J. Hartly 2005, What`s in a title? Numbers of words and the presence of colons, Scientometrics, 63: 341356. .

proceedings as well as in the post-conference luxurious books by WSES Press. The better you look, the better we all look. Thank you for your cooperation and contribution. We are looking forward to seeing you at the Conference. In this paper, we attempted to produce a global bibliometric index for a published article. Thus, we constructed a global ideal article with (5) five high score indicators for each citation. For this implementation, we used the fuzzy logic theory in order to classify in (5) five degrees the bibliometric indicators. Finally, we extracted a bibliometric indicator for a simple article by correlating this with the ideal article. This paper may be considered as the first attempt to construct the proposed IGBI indicator and thus the research presented here should be considered as research in progress. Our major concern is to evaluate the IGBI index against well known comparisons such as journal status [11] using an extensive citation graph. Furthermore, the extension of a semantic vocabulary such as COAP and the construction of a citation index to provide real time IGBI analysis is also an important step.

References: [1] Bahr, Judit & Blyma, Ilan & Peritz, Bluma C. (2002). Informetric theories and methods for exploring the internet: an analytical survey of recent research literature. Library Trends, 50 (3), 371-392. [2] Bjorneborn, Lennart & Ingwersen, Peter (2001). Perspective of webometrics. Scientometrics, 50 (1), 65-82. [3] Casserly, Mary F. & Bird, James E. (2003). Web citation availability: analysis and implications for scholarship. College & Research Libraries, 64 (4), 300-317. [4] Snizek W. E. (1995) Some observations on the use of bibliometric indicators in the assignment of university chairs. Scientometrics 32(2), 177-120. [5] Smith R. (1997), Journal accused of manipulating impact Factor, British Medical Journal, 314, No. 7079 , 463-466. [6] Isabel Gomez, Maria Teresa Fernandez and Jesus Sebastian (1999). Analysis of the structure of international scientific cooperation networks

through bibliometric. Scientometrics, 44(3) 441457

ISSN: 1790-2769

136

ISBN:978-960-474-012-3