ISSN: 1998-4308



Year 2008

All papers of the journal were peer reviewed by two independent reviewers. Acceptance was granted when both reviewers' recommendations were positive.

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    Paper Title, Authors, Abstract (Issue 1, Volume 2, 2008)


An Effective Solution for Matrix Parenthesization Problem through Parallelisation
Muhammad Hafeez, Muhammad Younus

Abstract: This paper has been participated in plenary presentation at WSEAS and is presenting a progress a development results on Virtual intelligent interface based on human facial and voice recognition. We this is new challenge for sensing the user emotional space and interact with it. It is part of the cognitive spatial design needed to have the mentality of the designer been part of the system recognition. This is experimental built prototype. We think that the practices reported in this work contribute to integrate (corporate) the cognitive intention of the designer with the knowledge of the system, The architect can use these design practices to inhale the emotional practices into the design using such experiment.


The support of Business Intelligence Technology in Process and Business Engineering
K. Curko, M. Varga, A. Loncar

Abstract: One of the main goals of that company is efficiency of business operation and business process. Business engineering is conducted in order to achieve it. Business Intelligence (BI) technology can helps companies to optimize their business operation and business process. Its usage makes the conditions, procedures and mechanisms for creating quality information and business knowledge to improve business performance. BI technology is the key factor of development and implementation of process change, which also in turn influences the improvement of the company’s information system that should provide the data needed in business processes. Companies use business intelligence technology to analyze every aspect of their data to understand business operation and recognize, monitor, analyze and improve business processes, and finally improve business performance. The intention of this paper is to review and discuss the influence of business intelligence technology on certain activities of business engineering such as: defining the business strategy, redesigning the business process, business process management, redesigning the decision making process and changing the business information system.


A Hardware Scheduler IP for Multiprocessor Systems
Habibullah Jamal, Zeeshan Ali Khan and M. Mohsin Rahmatullah

Abstract: The article presents an Intellectual Property (IP) for scheduling of multiprocessor systems that is designed using FPGA. The purpose of the IP is to minimize the processor time for scheduling activity by implementing the functionality in hardware. The algorithm implemented clusters the similar tasks on the same processor. Processors not in use are switched to power saving mode and they are only turned on if there is no other processor to take on the required activity.


An experiment of Life-support network for elderly people living in a rural area
Jun Sasaki, Keizo Yamada, Michiru Tanaka and Yutaka Funyu

Abstract: In order to provide comfortable and safety life for every people in the world, information technologies will be useful in a rural area as well as in a metropolitan area. This paper proposes a new concept of Life Support Network (LSN) for elderly people living in a rural area. The network is a type of Intranet, which incorporates a safety confirmation system, a remote healthcare system, an emergency information system and other useful daily network services in the closed life area. We developed a part of the experimental LSN system and carried out a field experiment in a typical rural town “Shiwa” in the Iwate Prefecture in Japan. The system has two sub-systems of the safety confirmation system and the remote healthcare system. We clarified that the experimental LSN gave the feeling of safety to the elderly people living in the rural area.


Comparing central and upwind flux averaging schemes of overlapping finite volume method for simulation of spillway flow with shock waves
S.R. Sabbagh-Yazdi, N.E. Mastorakis, and S.M. Hosseini-Gelekolai

Abstract: This paper presents the comparison between the results of central and upwind flax averaging at the boundary edges of overlapping unstructured finite volumes for simulating super-critical free surface flow in channels with non-parallel side walls. The developed models computes water depth and velocity components using depth average continuity and motion equations which are mapped parallel to the bed surface for supercritical flows. This model evaluates two-dimensional velocity patterns and shockwaves. The governing equations are discretized utilizing overlapping cell vertex finite volume method on triangular unstructured meshes. The numerical oscillations of explicit solution procedure are damped out using either artificial viscosity scheme or upwind averaging fluxes at control volume boundary edges. The algorithm of evaluation of the fluxes at edges and artificial dissipation terms at nodes is adopted for unstructured meshes. Using both schemes, no additional dissipation is introduced to the computed flow and shockwaves are simulated accurately. The accuracy of results is assessed by simulating supercritical flow in two chute canal with expanded and contracted walls and using comparison between the computation results with the reported experimental measurements. Then, the model is applied for modeling a real world case of flow from dam reservoir to a chute spillway.


Cognitive Evolutionary Techniques in User Interface Design Based on Human Aspect Modeling
Hamido Fujita, Jun Hakura, Masaki Kurematu

Abstract: This paper has been participated in plenary presentation at WSEAS and is presenting a progress a development results on Virtual intelligent interface based on human facial and voice recognition. We this is new challenge for sensing the user emotional space and interact with it. It is part of the cognitive spatial design needed to have the mentality of the designer been part of the system recognition. This is experimental built prototype. We think that the practices reported in this work contribute to integrate (corporate) the cognitive intention of the designer with the knowledge of the system, The architect can use these design practices to inhale the emotional practices into the design using such experiment.


2D Galerkin finite volume solution of steady inviscid / viscous / turbulent artificial compressible flow on triangular meshes
Hamido Fujita, Jun Hakura, Masaki Kurematu

Abstract: Contribution to develop an accurate and efficient incompressible two dimensional flow solver is presented in this paper. The incompressible form of the mass and momentum conservation equations are solved in a coupled manner using Artificial compressibility Method. In this work, two dimensional incompressible forms of the continuity and momentum equations are converted to discrete form by application of Galerkin Finite Volume algorithm on triangular meshes. The Biharmonic artificial dissipation formulation suitable to triangular meshes is applied to guarantee the convergence to the steady state. The use of triangular meshes, provide great flexibility for modeling the flow about complex shaped geometries. The shortcoming of the efficiency associated with the use of triangular meshes is overcome by application of a face-base solution algorithm, and, techniques for preserving stability and efficiency of the matrix free explicit solution method are described. First, simulation of a convective dominated flow which may give rise to high frequency numerical errors in explicit solution is presented by solution of the potential flow around Rankin body. For this case, initially the convergence behavior of the model is assessed by sensitivity analysis on the parameters of the Artificial compressibility Technique, CFL number for computational step limit and artificial dissipation coefficient. Then, the accuracy of the computed results are evaluated by comparison with the available exact solution. The verification of the proposed flow solver is performed in three stages. Then. Second, the accuracy of viscous modeling by the developed software is presented by solving incompressible flow over a flat plate which is analytically solved by Blasius. Third, the ability of the model to solve real world turbulent flow problems, solution of steady flow around circular cylinder at super-critical Reynolds number is performed using a Sub-Grid Scale model for computation of eddy viscosity parameter, the computed results are compared with available experimental measurements.


A cell center finite volume depth average flow solver for simulation of erosion, transport and deposition of fine non-cohesive sediments
S.R. Sabbagh-Yazdi, N. E. Mastorakis, and A.B. Saeedifar

Abstract: The details of a cell center finite volume depth-integrated free surface flow solver is described which solves two-dimensional advection- diffusion equation of suspended sediment with depth average flow equations in a coupled manner. The set of flow equations is considered as shallow water equations which consider the effect of the bed topography variations. The algorithm includes a parabolic algebraic eddy viscosity model for simulation of turbulent effects. The depth integrated sediment concentration equation mathematically describes the variation of the sediment concentration due to the deposition-erosion phenomenon via its sink-source terms. A cell center finite volume formulation for unstructured triangular meshes is utilized with explicit time integration. In order to prevent numerical instabilities, proper artificial viscosity terms are added to the formulation, without degradation of accuracy. Validation of the suspended sediment module is performed through simulation of two test cases in straight channels. The first case is use to examine the sediment transport and deposition modeling on the perforated channel bed with zero sediment entrainment. The non-equilibrium coefficient of source/sink term of the suspended sediment convection/diffusion equation is calibrated on this case. The second test case, presents the net sediment entrainment into the clear water from channel bed with zero sediment deposition. Finally, the model capability is demonstrated by its application to a real world case study of sediment transport in a dam reservoir.


Research on Intelligent Examination System for E-business Application
Xin Jin

Abstract: E-business application is more and more popular in our society, and the education and training of E-business also become more important. Commonly, the traditional E-business education and training adopts two ways: the theoretics teaching in classroom and the computer-based application operation in E-business simulation environment which is like an E-business web site (but not same as). But it is difficult to check students’ ability of E-business application operation. In this paper, we will discuss an intelligent examination system that is for checking the examinee’s ability of E-business application operation. This paper presents the Examination System for E-business Application Operation (ESBAO), which is a part of E-business education and training software system, for checking the E-business application operation capable of the examinees. It proposes a novel architecture for on-line examination system which is based on E-business workflow. That system adopts the common client-server pattern with two major parts, Student site and Teacher site. The Student site provides examinee a GUI (Graphics User Interface) embedded a WWW browser for answering the paper. The Teacher site mainly includes paper management subsystem for managing paper database, a building paper subsystem for building a new paper, and a scoring paper subsystem for scoring the paper of the examinees. In this paper, we also analyze and discuss the system architecture, the system simulation environment, some key questions and the corresponding solutions.


Textural models based on ultrasound images for the detection of hepatocellular carcinoma in early and advanced stages
D. Mitrea, S. Nedevschi, M. Lupsor, R. Badea

Abstract: The aim of our work is to find the relevant textural features for detecting the hepatocellular carcinoma in early and advanced stages, and also the forerunner stages of this tumor. We characterize the cirrhosis, as the liver disease that precedes the hepatocellular carcinoma, and also the evolution stages of this malignant tumor, through textural parameters obtained from ultrasound images. For the computation of the textural features we use the following methods: first and second order statistics of the grey levels, gradient-based features, statistics of the local shape, and statistics of the textural microstructures, fractal-based methods and multiresolution methods. Specific methods for feature-selection are applied in order to determine the exhaustive set of relevant and nonredundant features for each stage of evolution. The final purpose is that of providing a reliable method for the non-invasive characterization of the HCC and its forerunner stages, in order to prevent this malignant tumor.


Content-Based Image Retrieval Using Rectangular Segmentation
Chi-Man Pun and Chan-Fong Wong

Abstract: In this paper, we present a new framework for effective content-based image retrieval (CBIR) using rectangular segmentation. In image segmentation, speed is more important than accuracy in CBIR. We propose a new rectangular approximate image segmentation to solve the problem. We also develop a significance function to reflect the importance of different position in image, and improve the segmentation and retrieval performance. Finally, we present a similarity measure between images with multi-objects. Experimental results show that the proposed method is more efficient and achieves higher precision on image retrieval of a large dataset.


Performance Tuning of Novell Netware Based on Fuzzy Reasoning
Khalil Shihab

Abstract: This work presents the design and implementation of a fuzzy logic system (FLS) for performance tuning of the Novell Netware 6.5 network operating system. The system provides intelligent support and maintenance for identifying bottlenecks in Netware 6.5 performance and recommending solutions to the problems. Currently, it handles problems in Netware resource managers, such as memory utilization, disk utilization, processors, and I/O subsystems. It has been implemented in the FuzzyCLIPS environment and tested on Novell Netware Service Pack 7. Preliminary results have indicated that such a fuzzy-based tool for operating system performance tuning is viable; increases the productivity of system maintenance personnel and reduces the cost of training; and provides users of a network operating system with prompt solutions to their system performance problems.


Design and Realization of Remote Sensing Monitoring System in Land Consolidation
Chao Zhang, Wei Su, Yijun Jiang, Yongpeng Zhao, Daoliang Li1

Abstract: During the eleventh five years plan of China, land consolidation will be invested much than 300 billion RMB . The monitoring and management of the land consolidation project is important to ensure the huge investment in where need fund. Based on the need of the land consolidation monitoring and management operation and the characteristic of the high resolution remote sensing monitoring, the land consolidation remote sensing system is designed with three level such as application level, system function level and data server level. While based on the feature of the land consolidation remote sensing monitoring, the function module of the system is designed including file, display, the land consolidation project information extraction, land consolidation evaluation, tool box and so on. And based on the Titan Image development system, the mail frame of the system is constructed and the mostly function modules are developed. In further, part of the function module will be perfected.


Evaluation of Facial Expressions and Body Gestures in Interactive Systems
Nikolaos Gazepidis and Dimitrios Rigas

Abstract: This paper describes an investigation of facial expressions and body gestures in an interface with the absence of interactive content. It explored and evaluated the use of 13 facial expressions and 9 body gestures in an interface in terms of user satisfaction and users’ views. The experimental study was performed with 41 users and results indicated that particular facial expressions and body gestures when being used individually by a human-like avatar were more attractive and increased users’ interest. The outcome of this experiment highlighted the significance of some of the expressions and gestures. This research provides new directions for further investigation of the use of multimodal metaphors in interfaces for e-Business applications.


    Paper Title, Authors, Abstract (Issue 2, Volume 2, 2008)


Research on Intelligent Examination System for E-business Application
Xin Jin

Abstract: E-business application is more and more popular in our society, and the education and training of E-business also become more important. Commonly, the traditional E-business education and training adopts two ways: the theoretics teaching in classroom and the computer-based application operation in E-business simulation environment which is like an E-business web site (but not same as). But it is difficult to check students’ ability of E-business application operation. In this paper, we will discuss an intelligent examination system that is for checking the examinee’s ability of E-business application operation. This paper presents the Examination System for E-business Application Operation (ESBAO), which is a part of E-business education and training software system, for checking the E-business application operation capable of the examinees. It proposes a novel architecture for on-line examination system which is based on E-business workflow. That system adopts the common client-server pattern with two major parts, Student site and Teacher site. The Student site provides examinee a GUI (Graphics User Interface) embedded a WWW browser for answering the paper. The Teacher site mainly includes paper management subsystem for managing paper database, a building paper subsystem for building a new paper, and a scoring paper subsystem for scoring the paper of the examinees. In this paper, we also analyze and discuss the system architecture, the system simulation environment, some key questions and the corresponding solutions.


Architecture of Mobile Web Application for Generating Dynamic Route Map
A. M. Haziq Lim, A. A. Azlianor, S. M. Suhaizan, K. Massila

Abstract: Integrated Light Rail Transit (LRT) System in the capital of Malaysia connects some key districts where historical places, interesting places, business areas and shopping malls are concentrated. The train services are running independently but have points where they have interchanges. This may leads the traveler facing difficulty when they are choosing incorrect destination station especially on different LRT lines which contribute to time consuming and high costing. Thus, we present an architecture in developing mobile application that runs on a Personal Digital Assistant (PDA) to provide the solution for traveler to reach the desired destination. It is use to dynamically generate dynamic route map by determining the nearest station according to the specific places. The architecture, web components and its implementation are proposed and discussed in this paper.


Definition of a Formal and Unified Model for a Smart Card based European-wide Electronic Seaman's Book
Fabrizio Lamberti, Simonetta Bettiol, Manuela Mallia, Andrea Sanna, and Claudio Demartini

Abstract: The current scenario of sea transports is characterized by an ever increasing growth of people moved and wares exchanged, accompanied by significant advancements in employment and business opportunities. Unfortunately, education and training in the maritime field did not follow the same trend. Thus, on one hand, the sector is today characterized by a shortage of qualified workers. On the other hand, present training programs, certification instruments and competence standards are specifically managed at the national level, with a consequent lack of interoperability among international frameworks. Within the O.R.S.A. M.I.NO.R.E. project, the above issues have been addressed from a formal point of view, with the aim of defining a European-wide framework for the certification of seamen's learning and training outcomes. Given the transnational scope of the project, a unified modeling strategy based on an distributed Seaman’s Book archive has been defined to homogenize the existing national experiences within a formalized electronic tool. Moreover, taking into account end users’ mobility and security requirements, smart card technology has been integrated into the overall architecture, in order to allow seamen for a continuous access to their sensitive data. In this paper, project's results are presented, by showing the reference architecture, and providing details related to its two supporting components, namely the distributed electronic archive, and the smart card-based secure communication framework.


A usability study of multimodal interfaces for the presentation of internet search results
A. Ciuffreda and D. Rigas

Abstract: This article describes a usability evaluation of three interfaces that presented results from queries through Internet search engines. One interface used purely text in order to communicate attributes of retrieved results; the remaining two interfaces made use of different combinations of text and metaphors of visual and aural nature. This usability study was based on executions of Internet search activities with specific sets of keywords and on users’ views. Five criteria were considered for measuring the degree of usability of the three interfaces. The results obtained from this investigation have shown that a combination of text, graphical objects and short speech messages increased the level of usability in interfaces of this class.


Searching for Similar Documents on Mobile Devices using Classifier Cascades
Kristof Csorba and Istvan Vajk

Abstract: This paper presents a new method for searching documents which have similar topics to the ones stored locally on a mobile device. It is designed for mobile device users to automatically search for documents which might be of interest for the user using the assumption that documents stored locally represent the fields of interest of the user. The algorithms are designed for slower processor and memory capacity, and small data traffic between the devices. These features make it possible to use the application on phones or PDA-s for example. The keyword list based topic comparison is enhanced with cascading, leading to a series of document searching elements specialized on documents not handled by previous elements. Details on the applied techniques, formal propositions and experimental results are presented in this paper.


Genetic algorithms and scalar product for pairwise sequence alignment
Mohamed Ben Othman, Aboubekeur Hamdi-Cherif, Gamil A. Azim

Abstract: Sequence alignment is a very active research field and represents an important facet of molecular sequence analysis. In pairwise alignment, we seek the arrangement of two sequences. For a multiple alignment, the arrangement is sought for many sequences. In both cases, sequences are all constituted of residues i.e. nucleotides for DNA/RNA, or amino acids for proteins. The objective is to maximize the similarities between them by adding and shuffling gaps. Although dynamic programming solves the pairwise problem optimally, it nonetheless suffers from the "curse of dimensionality". Our goal is to develop a novel technique for pairwise alignment that is simple to implement and to upgrade, that gives a good result, that does not require any expertise from the end-user and that could easily be transposed to the multiple alignment case. Genetic Algorithms are well suited for problems of this nature since residues and gaps are discrete units that can be aggregated to compose the required solutions. We also propose a class of parametrable cosine-like scoring functions, used as fitness functions. Thus a general evolutionary computational framework for testing and implementing different scoring functions is obtained.


Adaptive Energy-Aware Gathering Strategy for Wireless Sensor Networks
E.M. Saad, M.H. Awadalla, and R.R. Darwish

Abstract: Energy hole problem is considered one of the most severe threats in wireless sensor networks. In this paper the idea of exploiting sink mobility for the purpose of culling the energy hole problem in hierarchical large scale wireless sensor networks based on bees algorithm is presented. In the proposed scheme a mobile sink equipped with powerful transceiver and battery, traverses the entire field, and periodically gathers data from network cluster heads. The mobile sink follows an adaptive gathering strategy resilient to both connected and disconnected networks. The proposed gathering strategy geared to eliminate multihop relays required by all cluster heads to reach the mobile sink, balancing the traffic load across all network heads. Meanwhile, reduce the loss that data may incur due to buffer overflow. Furthermore, the proposed gathering strategy is augmented by enabling the mobile sink to navigate safely within cluttered and uncluttered fields. Extensive simulations are conducted in order to validate the effectiveness of the proposed strategy. The achieved results show an improvement in overall system performance.


Splits, Segs and Superblocks in Split-Merge Video Compression
Bruno Carpentieri

Abstract: In this paper we review the Split-Merge technique, that exploits the temporal correlation between frames, preserving the spatial correlation between the parts of each frame. This technique is based on the segmentation of the frames into variable size areas: the superblocks. Each superblock is a connected collection of fixed-size rectangular blocks “moving” in the same direction by the same amount. The segmentations obtained from frame to frame permit retention of the “knowledge” (accumulated in the previous frames) of the spatial relationship between blocks, improve the quality of the predictions and exploit the performance of the video coder by identifying the “active” parts of the frames. Split-Merge displacement estimation “learns” from previous frames and performs a classification of the parts in a video frame in terms of their motion vectors. It is fully compatible with the MPEG philosophy and can be the basis of MPEG video coders. Given a segmentation with integer labels of the first frame in a video sequence, here we describe how to track it, via Split-Merge displacement estimation, in the following frames, maintaining the same labels for the same “objects”, while doing displacement estimation for video compression purposes. Furthermore we also show how to “learn” objects and their relationship in the sequence, and how to use the segmentation information to enhance the video compression process.


Segmentation Techniques for ATDR
G. N. Srinivasan and Shobha G.

Abstract: Automatic Target Detection and Recognition (ATDR) is an important application of image processing technology. Image segmentation is one of the basic steps in image processing. This paper presents an overview of the methodologies and algorithms for segmenting 2D images as a means in detecting target objects embedded in visual images for an Automatic Target Detection application along with the relevance and constraints of each technique.


Converting printed Kannada text Image file to Machine editable format using Database approach
B. M. Sagar, Shobha G. and Ramakanth Kumar P.

Abstract: This paper discuss about an idea to convert Kannada text Image file to Machine editable format using Database approach. Kannada is a South Indian language. The proposed OCR system for the recognition of printed Kannada text, which can handle all types of Kannada characters. The system first extracts image of Kannada scripts, then from the image to line segmentation then segments the words into sub-character level pieces. For segmentation of characters we have discussed an algorithm. Character recognition has done using database approach. The level of accuracy reached to 100%.


Radial Basis Functions Networks to hybrid neuro-genetic RBFΝs in Financial Evaluation of Corporations
Loukeris Nikolaos

Abstract: Financial management maximise investors’ return, seeking for stocks with increasing expected corporate value. Hidden information is included in vast accounting data and financial indices that are available in international financial markets. Methods of Econometrics and Artificial Intelligence- mainly in the field of Neural Networks- provide classifications of companies regarding their economic health. Radial Basis Function networks are examined in a hybrid form of Neural Network optimised with Genetic Algorithms and in a regular Neural Net form, to determine efficient methods of Financial Analysis. The regular Radial Basis Function network with 3 layers, Genetic Algorithms in all the layers and Cross Validation is superior to all the neuro-genetic forms of RBF in Financial Analysis.


Toward an Automatic Verification of Secrecy Without the Perfect Encryption Assumption
Hanane Houmani and Mohamed Mejri

Abstract: This paper gives a novel approach to verify the secrecy property of cryptographic protocols under equational theories. Indeed, by using the notion of interpretation functions, this paper presents some sufficient and practical conditions allowing to guarantee the secrecy property of cryptographic protocols under any equational theory. An interpretation function is a safe means by which an agent can estimate the security level of message components that he receives so that he can handle them correctly. Also, this paper gives a guideline on how to construct an interpretation together with an example and how to use it to analyse a cryptographic protocol.


    Paper Title, Authors, Abstract (Issue 3, Volume 2, 2008)


Ontology Context Model for Context-Aware Learning Service in Ubiquitous Learning Environments
Myoung-woo Hong and Dae-jea Cho

Abstract: In the vision of ubiquitous computing, computer systems will be seamlessly integrated into our everyday life, anticipating our needs and providing relevant services and information to us in an anytime any where fashion. The vision of ubiquitous computing makes an impact on the appearance of ubiquitous learning and presents an advanced direction of learning system. This paper describes the conceptual architecture and ontology-based context model for providing context-aware learning services in ubiquitous learning environments. If ubiquitous computing environments have been realized, it can lead to ubiquitous learning. In ubiquitous learning environments, various embedded computational devices will be pervasive and interoperable across the network for supporting the learning, so users may utilize these devices anytime anywhere. An important next step for ubiquitous learning is the introduction of context-aware learning service that employing knowledge and reasoning to understand the local context and share this information in support of intelligent learning services. In this paper, we assume that a school was equipped with ubiquitous computing environments. We present context-aware manager based architecture to support user-centric ubiquitous learning services, and describe ontology based context model for intelligent school spaces.


Energy aware distributed clustering scheme for wireless sensor networks
E.M. Saad, M.H. Awadalla and R.R. Darwish

Abstract: Energy efficiency is a prominent design principle for any wireless sensor network protocol. In this paper a distributed network topology geared for maximizing network longevity and sensing coverage is presented. The main idea behind the proposed topology is to develop an energy aware clustering protocol resilient for network dynamics. The proposed clustering protocol is aiming at efficiently cluster the network sensor nodes around relatively high residual energy cluster head nodes. Meanwhile, guarantying uniform distribution of cluster heads all over the entire sensing field. Furthermore, the proposed topology employs an adaptive node activity protocol to dynamically manage the duty cycle of cluster members in each cluster. Analytical and simulation results are presented to validate the proposed topology. It is shown that the proposed topology extends network longevity, while maintaining a desirable sensing coverage quality


The Human Face Semantic Web
Hamido Hourani, Mohammed Al Rawi, Abd El-Latif Abu Dalhoum and Sabina Jeschke

Abstract: The vast development in the field of multimedia technology generates huge amount of data which result in difficulties for users to find their data on demand. Therefore, the process of efficiently storing and retrieving multimedia data is a very important task. In this paper, we use the Semantic Web notion to annotate and retrieve digital images; where we introduce two stages for annotating these images and two other processes for retrieving these images. The first stage is the dynamic annotation (absolute) in which the resultant annotation data may be stored inside the image. The other annotation is the manual (relative) in which the resultant annotation is stored in a separate file to be linked in some way to the image file. To retrieve those images, we build a Semantic Web search engine for retrieving the annotated images, and this search engine in its turn comprises of two steps: the first depends on the query entered by the researcher, and the second depends on the image which is selected from the previous step which is used as a seed for a second search round to retrieve the images that relate to the seeded image. To reduce the impaction of differences of the interpretations among different annotators, we suggest two types of annotation attributes coarse and fine. We approach this process via implementing a case study based on Human Face images which is a very important task that has wide range of applications, e.g., crime investigation, relatives search, partners matching and finding, etc. Using face images of more than 450 persons, the proposed human face semantic web search engine (HFSWSE) is evaluated through several experiments. The results of these experiments are encouraging; since we are able to mitigate the impaction of differences of interpretations among the annotators. Compared to typical face recognition techniques, the HFSWSE obtains the retrieved set of the query image in a short time, and the accuracy that depends on the number of used attributes is more than good.


A Fundamental Modeling Concept Approach for Modeling UML Design Patterns
A. Spiteri Staines

Abstract: Traditionally software design patterns were developed to create software artifacts efficiently and effectively. Patterns are represented using UML notations and formal models. Unfortunately these do not always suffice to analyze behavior. There are various problems related to visualization, abstracting, mapping the design to the implementation, etc. Various approaches have been tried out. Most methods are too complex and do not offer proper visualization. This paper promotes the use of Fundamental Modeling Concepts to support design patterns. These offer better visualization and simplicity over the mainstream approaches. Some examples are presented.


Study of New Graphical Method for Sportman Evaluation
L. Dan Milici, Elena Rata and Mariana R. Milici

Abstract: The large majority of specialists on sport domain, after the undertaken studies, proposed varied solutions to improve this process and promoted modern methods and means. In this way, came into being some installations, equipments and computerized technologies that more contributed to the improvement of the training process development. The computing technique also integrated itself into the selection process and into sportsmen training. Through this it is used multiple programs for physical effort planning and for refreshment. The informational system can forecast next results that will be obtained by the sportsmen. Through the experimental results obtained in this work we can establish that the mathematical model elaborated and applied during the training of the youngster swimming sports-girls led to obtain some significant results concerning the forecasting methodology on sports and concerning the improvement of the psycho-motive and psychological parameters. This methodology can be also applied efficiently in other levels of sportive practice. The theoretical and methodological concept can be included in the theoretical and methodical training of the trainers and of the specialist from sport sphere.


Technologies of PEM Fuel Cells and their Application to LED Semaphores and Lighting Systems
Jose Javier San Martin, Jose Ignacio San Martin, Victor Aperribay, Inigo Javier Oleagordia, Inaki Martin, Jose M. Arrieta

Abstract: The world today suffers the consequences of the use of fossil fuels, their polluting emissions and global warming consistent. All this makes it imperative the search for new energy models, more efficient and less polluting. One of the most promising alternative technology is based on hydrogen as new energy vector or applied to combustion engines or fuel cells. A PEM fuel cell (Proton Exchange Membrane) is a clean electrical and thermal generator, of high efficiency, which is fed with hydrogen and oxygen or air. Its behaviour depends on a high number of parameters, such as: temperature, humidity, pressure, etc. Many of these parameters are related with the supply of gases. In this scenario, this paper presents the results obtained after the analysis and test of a fuel cell. This way, a revision of the most outstanding characteristics in the six modalities of fuel cell is presented. The theoretical study of these devices is carried out and experimental results obtained with a PEM fuel cell are included. This work presents a new multimedia teaching tool aimed at teaching Renewable Energies, trying aspects ranging from storage of surplus renewable energy in the form of hydrogen, until the applications of this kind in PEM fuel cells. The main objective is aware of the need in the use of clean renewable energy, specifically with hydrogen, in a bid to clear the immediate future. All the experiments are based on modules of Ventus FC50 Science, which have made practices, such as study of security measures, curves of a fuel cell, parameters that influence, efficiency of fuel cell stack and finally, implementation of the fuel cell to traffic lights with LED technology, uninterruptible power supplies (UPS), to solve the problem of interruptions in electricity supply and the dangers and risks involved in the movement in these conditions. Also provides for the implementation of fuel cell system in lighting, analyzing the cost of kWh.


Didactic Resources for Teaching Physics Online
Angel Franco

Abstract: The Interactive Physics Course on the Internet is a project that began in 1998 as an attempt to make the computer a tool for teaching Physics, both inside and outside the classroom.
Last year, the Course began to be completely redesigned. The new XHTML pages, replacing the old HTML pages, are conceived to create a clear separation between content and layout. Each web page is divided in areas, defined by the div tag, each area being placed on the page, and being defined (size, internal structure, background...) on an external CSS style sheet.
Using MathML to display mathematical expressions instead of image files has several advantages:
•Better rendering quality and print resolution.
•Better fit and alignment with the rest of the page.
The web pages contain 643 Java applets which are simulations, computer experiments and animations, and also 27 Flash video files of laboratory experiments and lecture demonstrations, because visualization of phenomena is an important part of learning physics.
The Interactive Physics Course on the Internet was not intended to be read from the first to the last page but rather to be used as a reference for a particular problem or to provide some insight into a particular aspect of physics.


Integrating Hook-Based Object-Oriented Framework Testing Techniques
Jehad Al Dallal

Abstract: Object-oriented frameworks provide reusable design, implementation, and testing for a family of software systems that share common features. They are implemented at the framework domain engineering stage and extended at the application engineering stage to build the particular required applications. Places at which the framework is extended are called hooks. These hooks are useful in testing both the framework and its applications. Several non-integrated hook-based testing techniques are introduced to test the frameworks and their applications at different engineering stages and testing levels. This paper discusses the integration of four framework-based testing techniques such that the testing redundancy is minimized and the testing reusability is maximized. The testing techniques are originally introduced to test the framework and hooks during the domain engineering stage, and to re-test the framework and test the framework interface classes during the application engineering stage. Finally, the paper illustrates the design of the tools that support the automation of the integrated techniques.


Fuzzy Concept Mining based on Formal Concept Analysis
Kyoung-Mo Yang, Eung-Hee Kim, Suk-Hyung Hwang, Sung-Hee Choi

Abstract: Data Mining(also known as Knowledge Discovery) is defined as the non-trivial extraction of implicit, previously unknown, and potentially useful information from data. It includes not only methods for extracting information from the given data, but also visualizing the information. Formal Concept Analysis(FCA) is one of Data mining research fields, and it has been applied to a number of areas such as medicine, psychology, library, information science, and software re-engineering and others. FCA is based on a mathematical order theory for data analysis, which extracts concepts and builds a conceptual hierarchy from given data. In order to analyze vague data set of uncertainty information, Fuzzy Formal Concept Analysis(Fuzzy FCA) incorporates fuzzy set theory into FCA. In this paper, we introduce basic notions of FCA and Fuzzy FCA, and developed the Fuzzy FCA-Wizard, that supports Fuzzy FCA’s features. We demonstrate the process for discovering knowledge from uncertain data with Fuzzy FCA-Wizard.


About Wave Algorithms for Network Flows Problems
Laura A. Ciupala

Abstract: In this paper, we focus on using wave implementations in order to reduce the time complexity of some algorithms that solve the most important network flow problems. We describe wave implementations of known algorithms for the maximum flow problem, for the minimum cost flow problem and for the minimum flow problem.
First, we present a wave preflow algorithm for determining a minimum flow. This algorithm was developed by Ciupala and it is a special implementation of the generic preflow algorithm developed by Ciurea and Ciupala. The wave preflow algorithm is a hybrid between the FIFO preflow algorithm and the highest-label preflow algorithm for minimum flow. It examines the active nodes in nonincreasing order of their distance labels and the node examination terminates when either the node deficit becomes zero or the node is relabeled. The wave preflow algorithm for minimum flow runs in O(n3) time.
Next, we present the wave algorithm for the maximum flow problem developed by Tarjan. He described a preflow method that is simpler than Karzanov's first preflow method for finding a blocking flow. It is known that a maximum flow can be determined by computing O(n) blocking flows. Consequently, by selecting the nodes in some specific order, wave algorithm developed by Tarjan computes a blocking flow in O(n2) time and a maximum flow in O(n3) time.
Finally, we describe the wave implementation of the cost scaling algorithm proposed by Goldberg and Tarjan. By examining the active nodes carefully, the wave implementation, developed also by Goldberg and Tarjan, improves the running time of the cost scaling algorithm from O(n2m log(nB) to O(n3log(nB)).


A Matrix-Less Model for Tracing Software Requirements to Source Code
Arbi Ghazarian

Abstract: Requirements traceability, regardless of the process used to produce a software system (e.g., traditional or agile development process), is a highly desirable quality attribute for the resulting software product. Building a Requirements Traceability Matrix (RTM) for a software product, which is the basis for existing approaches to achieving requirements traceability, works well with traditional software development where a more formal requirements process is in place. However, with the wide industry adoption of agile development methodologies, where requirements are captured and communicated through informal channels, the applicability of existing traceability approaches to agile software projects has been strongly restricted. In this paper, we provide an introduction to the area of requirements traceability and present a matrix-less model to achieving requirements traceability that is equally applicable to both agile and traditional software development.


H/W based Stateful Packet Inspection using a Novel Session Architecture
Seungyong Yoon, Byoungkoo Kim, Jintae Oh, Jongsoo Jang

Abstract: Stateful Packet Inspection(SPI) remember the previous packet and can thus keep track of the state of the session. SPI was originally developed for Firewall. But recently there are various applications such as VPN, NIDS, Traffic Monitoring, and so on. In this paper we focused on Network Intrusion Detection System(NIDS). Because stateless IDS only look at one packet at a time, a lot of false positive alerts generate during attempt to attack using IDS evasion tool, for example, “stick” or “snot”. To prevent this problem, SPI was employed in NIDS and statefulness of NIDS became very important. But most of existing SPI products are software based solutions which have poor performance in current high-speed internet environment. So, in many cases, the SPI module in NIDS remains inactivated. That is against original purpose. Stateful IDS mainly depends on the performance of processing session table and pattern matching. Pattern Matching has been a lot of studied. But, relatively few studies have been devoted to session processing. It is so difficult that we manage a lot of session state information with limited hardware resources and satisfy high-performance. Therefore, our purpose is to design and implement SPI module in FPGA with new session management architecture. And then we prove that can achieve an efficient and fast stateful intrusion detection that supported up to 1 million sessions with high performance.


Advantages of Self-Migration for Distributed Computing
Lubomir F. Bic, Michael B. Dillencourt

Abstract: We compare four paradigms that have recently been the subject of recent research: mobile agents, distributed shared memory (DSM), coordination paradigms, and self-migrating computations. We place these paradigms in a common framework and demonstrate that self-migrating computations subsume the other three paradigms in terms of their capabilities to organize and coordinate computation, and map the concurrent activities onto a multicomputer architecture. We then demonstrate the advantages of self-migration in terms of algorithmic integrity, performance, the ability to generate parallel programs, and the ability to support incremental parallelization.


Efficient Distributed Controller for Wandering Robot Formations using Local Sensing and Limited Range Communications
E. M. Saad, M. H. Awadalla, A. M. Hamdy, H. I. Ali

Abstract: This paper focuses on the development of wandering robot formations and shows the cooperation and coordination among the robot teammates to maintain the achieved formation regardless the complexity of the environment. To address these issues, this paper proposes a new behavior based robot architecture. This architecture is based on a novel technique for location determination using local sensing. The proposed architecture is implemented using the well known robot simulator Webots. Experiments for many difficult tasks such as the passage through narrow corridors, obstacle avoidance, swerving with large angles, and switching between different formations have been conducted. These Experiments prove the efficiency of the proposed controller. The obtained results show that the constructed formations are more stable and accurate even in cluttered and uncluttered environments.


Usual Scenarios and Suitable Approaches Used in Automatic Merge of Scanned Images
Costin A. Boiangiu, Andrei C. Spataru, Andrei I. Dvornic, Ion Bucur

Abstract: The most important step in automatic content conversion is the preprocessing step. Having a very good scanned document is almost a safe bet that the document will have the content extracted with a good confidence level. The current paper describes some preprocessing methods which can be used in large images that must be scanned by pieces because they simply don‘t fit entirely the scanner area. We propose a novel digital multi-pass scanned image merge scheme for newspapers or other historical documents, allowing further content exploitation in an efficient way. The goal is to combine multiple images with or without overlapping fields of view in order to produce segmented panorama or high resolution document.


    Paper Title, Authors, Abstract (Issue 4, Volume 2, 2008)


Improved Algorithms for Minimum Flows in Bipartite Networks
Eleonor Ciurea, Oana Georgescu, Daniela Marinescu

Abstract: In this paper we study minimum flow algorithms for bipartite networks. We present two classes of algorithms for finding minimum flow in bipartite networks. The time bounds for several minimum flow algorithms automatically improve when the algorithms are applied without modification on bipartite networks. We obtain further running time improvements by modifying the algorithms. This modification applies only to preflow algorithms. In the final part of the paper we present an example for one of these algorithms.


Process Development and Management: Towards the Maturity of Organizations
Evangelos Markopoulos, Javier Bilbao, Elena Christodoulou, Todor Stoilov, Tanja Vos, Charalampos Makatsoris

Abstract: The basic process principles are defined through the concept, values and theories of statistical control, which is used in many fields, regardless their type of operation. Processes development, maintenance, enhancement and management is not a formality issue for virtual organizational quality control and assurance. Process development and standardization is considered the ability to reproduce the consistent high quality levels of a service or a product with the ability to develop optimum work methods or process and equipment conditions, to codify them, to be able to translate them into effective practices, and then to create the organizational circumstances to gain long term adherence to these optimum methods and conditions. Process development and management falls into the category of unavoidable infrastructure. Leadership within organizations need to understand the true role played by processes and standards besides the consistent, predictable and probably successful organizational performance, but towards achieving via, the process, the organizational maturity needed not only to progress, but also to survive.
This paper presents a comprehensive approach around the process development and management concept which troubles heavily all technology intensive organizations in their attempt to achieve consistency and manage complexity.


Fast Human 3D Voxelized Shape Reconstruction for Human-Computer Interaction
Yaiza Velaz, Luis Unzueta, Angel Suescun

Abstract: At present, there is an increasing interest in multimodal interaction, which supports multiple modes of interaction of the user with the computer. Among these modes of interfacing, those obtained from face expressions, voice, body postures and movements are the most important and researched within a human face-to-face interaction context. Some of the tools used to achieve this communication are: motion capture, speech recognition and force feedback. Thus, in order to carry out the human-computer interaction (HCI), some features and parameters are needed, which can be extracted via cameras or haptics depending on the communication mode.
The 3D shape of the target person constitutes one of the most used features in markerless motion capture for a posterior pose and motion pattern recognition, which can be obtained from a multi-camera system. The process starts by subtracting the background from the images in order to get the projected silhouettes of the subject. Then, having established the relation between the real 3D world and the camera projections, the 3D shape reconstruction can be attained with voxel carving methods. The reconstruction quality depends on the number of cameras, the size of the voxels and the used method. The more precise the 3D shape reconstruction is, the higher the computational cost will be, which may prevent its use for HCI applications.
We present a novel approach that accelerates existing voxel carving methods. It goes from coarse to fine, preserving the matching with the captured silhouettes, and thus achieving a good reconstruction quality. Results show its suitability for real-time markerless motion capture, applicable to HCI applications, such as videogames.


Implementation of The Infinity Project© in Ireland to Make Mathematics and Science Relevant and to Interest Students in Careers in Science, Engineering and Technology
Michael Tully

Abstract: The Infinity Project is a programme, created in the late nineties by Southern Methodist University (SMU) in Dallas, Texas. It is presently taught in high schools in 37 states throughout the United States to interest students in engineering and technology as a career and in universities to help retention. The programme was designed to answer the perennial student question “why do I need to learn this” by connecting the relevance of science and mathematics to everyday digital devices such as: cell phones, MP3 players, the Internet etc.
The School of Electronic and Communications Engineering (SECE) at the Dublin Institute of Technology (DIT), is the first third level School outside the US to facilitate the teaching of The Infinity Project. The Project’s curriculum is included in the first year of all SECE’s programmes. SECE is also supporting the implementation of The Infinity Project in a number of secondary schools in Ireland. Some parts of the Project’s subject material are ideally suited to students in transition year from age 15 years upwards. To date over 80 secondary school teachers of mathematics and science have attended SECE for training in The Project. This is the first instance of a collaborative initiave between the US and Ireland in second level education. A modified version of The Infinity Project now forms a part of the Pre-Apprenticeship/ Youthreach programmes which are designed for early school leavers and funded by the State Training Authority (FAS). The content of this modified programme is significantly different. It is designed to be more hands on and the computer laboratory exercises account for 80 % of total tuition time. Future plans are to teach this programme on science, computer skills and business courses within FAS.


A Mediation System to Facilitate Cooperative Activities
Victoria Eugenia Ospina, Alain-Jerome Fougeres

Abstract: In this article we present the use of knowledge for a Mediation System, developed to give support to participants in mechanical-system-designer activities. To use a cooperative system sufficient assistance is needed to facilitate and coordinate actors’ activities. To accomplish this goal we introduce an artificial actor: Mediator. The Mediator forms part of the group of collaborative, with the specific role of facilitating the cooperative activity. This role of assistance, differentiate the Mediator from other actors. This one is endowed with specific skills of cooperation (communication; awareness, coordination, co-memorization), requiring some acquired knowledge, which allow them to give assistance to the human actors. We will define the types of knowledge defined for our proposed Mediation System. Then we will illustrate the use of memorized knowledge by the Mediator during an activity of technical functional analysis.


Considerations Regarding the Implementation of the ESPL Programming Language
Horia Ciocarlie, Cosmin-Mihai Vacarescu

Abstract: This paper’s scope is to describe the back-end implementation of the ESPL compiler, precisely the platform for the cod’s simulation – a virtual machine – and the virtual code generator for this platform. ESPL is an object oriented programming language that is used for embedded systems and consequently the virtual machine is implemented in a manner that allows the simulation and testing of specific features of embedded systems. The virtual code generation is strongly dependent on the configuration of the virtual machine. Its starting point is the intermediate code produced by the front-end of the compiler, and, as final point, a file with machine code that will be load and executed by the virtual machine. The implementation is based on the OOP principles and every module can be replaced and upgraded if the interface rules are followed. The interaction with the user is realized trough the ESPL GUI. New windows and options were added to the previous GUI to support the features offered by virtual machine and the virtual code-generation.


One-Dimensional Moisture Transport Monitored by a Non-Destructive Method
Jan Skramlik, Miloslav Novotny

Abstract: Moisture in building structures influences the physical properties of materials and can cause their degradation. Apart from few exceptions, building materials are hardly dry every time. They always contain some moisture within the solid, in liquid or gaseous state. Moisture is of variable quality with different effects on thermal and technical properties. To express an anticipated negative effect of moisture on building materials related to building structures it is necessary to achieve an accurate way of determining their moisture characteristics if possible.


Low Back Pain and Lumbosciatalgia Treatment with Interferential Therapy
Yolanda Ruiz, Javier Bilbao, Azucena Ruiz, Jon Baraiazar

Abstract: We have done a research study in various patients with low back pain and lumbosciatalgia. In all these patients becomes a palpatory exploration. We carried out the scheme of dermatotomic distribution of each patient. We must conclude the cause of pain after reviewing medical evidence, make a strategy of analgesic treatment, design the adequate current, and check the results. Patients with lumbar ailment caused by chronic diseases often suffer pains that often are not treated properly. This paper presents a study and analysis of the pain suffered by two similar groups with low back pain and lumbosciatalgia in chronic phase who have been treated with the same kind of interferential currents but with difference in treatment time. Treatment time are 10 and 20 minutes, respectively. The results are different in both groups of patients.


The Status of Particles in Modern English
Edison I. Hajiyev

Abstract: The problem of parts of speech is the one that causes great controversies both in general linguistic theory and in the analysis of separate languages. Authors of grammars published in the former USSR treat the particle as a separate part of speech, naming it “form-word”, “structural”, “functional” or “semi-notional” part of speech. In this paper we investigate the status of particles as a separate part of speech in Modern English. We concentrate our discussion on the morphological structure, semantic characteristics, place, polysemantic and homonymous particles. We consider the particle in Modern English as a separate part of speech characterized by the following typical features: 1) Its lexico-grammatical meaning of “emphatic specification”; 2) Its unilateral combinability with words of different classes, groups of words, even clauses; 3) Its function of a specifier.


How Design an Unmanned Aerial Vehicle with Great Efficiency in the Use of Existing Resources
Javier Bilbao, Andoni Olozaga, Eugenio Bravo, Olatz Garcia, Concepcion Varela, Miguel Rodriguez

Abstract: At a time of economic recession, the selection of means necessary for the development of research projects takes high importance because, among other reasons, the premature end of the project depends on this selection. The use of existing solutions and the merger among similar projects allows greater efficiency in the use of existing resources. This paper is a synthesis of work done so far in the Department of Applied Mathematics of the Engineering School of Bilbao about the design of Unmanned Aerial Vehicles (UAVs) for water bombing.


Solid Modelling with Fourth Order Partial Differential Equation
L. H. You, P. Comninos, Jian J. Zhang

Abstract: A solid modeling method is developed in this paper. In order to satisfy the tangential continuity, a fourth order partial differential equation is proposed and the boundary conditions defining the solid are presented. Since an analytical expression of solid models is the fastest in the geometric modeling, a unified closed form solution to the partial differential equation is sought which accurately satisfies the boundary conditions of solids. A number of examples are presented to demonstrate the applications of the developed method in solid modeling and the effects of vector-valued parameters, force function, geometric parameters and basic functions on the shape of solids.


Improved and Simple Scheduling Scheme for Real-Time Data Communication in Wireless Sensor Networks
Ensaf A. Alzurqa, Hesham N. Elmahdy, Gamal Darwish

Abstract: Data communication protocols in wireless sensor networks are influenced by the packet scheduling algorithm and the routing protocol. The packet scheduling algorithms can arbitrate the use of the network in a deadline sensitive manner to ensure that most packets make their deadline. The routing protocol can influence the paths taken in the network and the interaction between contending flows. Most existing work in real time data communication has focused on packet scheduling, with little work addressing the routing protocols and the interaction of both. In this paper, we propose a new scheduling algorithm (SES-SN) which deals with all contributing components of the end-to-end traveling delay of data packets in wireless sensor networks. SES-SN uses Exponential Increasing Delay Policy with a multi-path routing protocol. The SES-SN makes more efficient used for the bandwidth and so decrease the packet miss ratio, drop ratio and overall delay which we consider them our accuracy measure in WSN communication. This scheme efficiently utilizes the limited energy and available memory resources of sensor nodes and also has a significant impact on the success of real-time sensor data communication and avoids collision.


Mobile Devices as Personal GIS Client Platforms
Dejan Rancic, Bratislav Predic, Dragan Stojanovic, Aleksandar Milosavljevic

Abstract: Proliferation of powerful and feature rich mobile devices during recent years has caused increased need for professional grade mobile applications that are to aid fieldworkers in their everyday activities. Apart from obvious technical limitations mobile computing/telecommunications devices pose like reduced processing capabilities and small memory capacity changing usage conditions in open space while user is moving and completing other primary task present mobile applications developers with additional challenges and opportunities to exploit user’s environment in order to create applications that are capable of adopting to changing environment conditions they are being used in. Mobile GIS is enabling field work personnel to always have access to most accurate and up to date spatial data. Also, this system automates the process of updating central enterprise GIS with data acquired in the field, process which has been up to date tedious and error prone.


Multi-Target Tracking using Human Teachable Robots
E. M. Saad, M. H. Awadalla, A. M. Hamdy, H. I. Ali

Abstract: This paper focuses on developing a team of mobile robots capable of learning via human interaction. A modified Qlearning algorithm incorporating a teacher is proposed. The paper first concentrates on simplifying the Q-learning algorithm to be implemented on small and simple team of robots having limited capabilities of memory and computational power. Second it concentrates on the incorporation of a human teacher in the Qlearning algorithm. Real and simulated experiments using the wellknown robot simulator Webots on a proof of context both single and multi-target tracking tasks have been conducted. The achieved results show the success of the proposed algorithm in the overall system performance.


Dynamic Approach to the Construction of Progress Indicator for a Long Running SQL Queries
Mario Milicevic, Krunoslav Zubrinic, Ivona Zakarija

Abstract: Widely used Data Warehousing (DW) and Business Intelligence (BI) technologies are mostly based on complex and long-running queries. It is very important for users to have information about query execution progress. Percent-done progress indicators are a technique that graphically shows query execution time (total and remaining) or degree of completion. In this paper we propose a method that constructs model of a percent-done progress indicators based on adaptive approach. During the learning phase, the method analyzes the influence of averaged system state on the SQL query response time using data mining algorithms. The results of this phase are models representing query behavior under dynamic server workload. Built models are used during the production phase for the estimation of query execution time. Experimental evaluation confirms the effectiveness of created models.


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