Welcome to Journal of Theoretical and Applied Information Technology

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One of the most complex and time-consuming problems facing in the design of a data warehouse is to extract, transform, and load different operational data sources into an integrated data warehouse. Building a data management model for scientific applications poses challenges that are not normally encountered in commercial database development. Complex relationships and data types, evolving schema, and large data volumes (in terabyte) are some commonly cited challenges with scientific data. In this paper, we propose a data warehouse framework architecture model thru XML to manage and analyze scientific behavioral data. Streams of data pour in from the scientific data particularly from satellites especially from data related to weather and other geo-spatial details amounts to terabytes of data each year from each satellite. These data if properly managed can be of immense value both to commercial community as well as scientific community. Here we have proposed an architectural schema through which scientific data can be archived. This architecture will try to have a process defined thru which easy retrieval of metadata is possible

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Multilevel inverter (MLI) is a new breed of power converter that is suited for high power applications. The various topologies of MLI are diode –clamped, capacitor clamped and cascaded H-bridge inverter[1].This paper focuses on cascaded MLI using two unequal dc sources in order to produce a seven-level output. The proposed topology reduces the number of dc sources and switching elements. Various modulation methods have been reported for the MLI in the literature [2], but this paper emphasis on unipolar inverted sine PWM (ISPWM) technique. The unipolar Inverted Sine Carrier Pulse-Width Modulation (ISCPWM) technique reduces the number of carriers and enhances the fundamental output voltage particularly at lower modulation index ranges with reduction in Total Harmonic Distortion (THD), and switching losses. The performance evaluation of the proposed PWM strategy for three-phase multilevel inverter is done using MATLAB and the optimum switching frequency with minimized total harmonic distortion and switching loss is determined. The gating signals are generated using Spartan FPGA processor as it provides better resolution. The simulation results are verified experimentally.

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Web usage mining attempts to discover useful knowledge from the secondary data obtained from the interactions of the users with the web. Web usage mining has become very critical for effective web site management, creating adaptive web sites, business and support services, personalization and so on. Web usage mining aims to discover interesting user access patterns from web logs. Formal Based Concept Analysis(FBCA) is an effective data analysis technique based on ordered lattice theory. Formal Based Concept can then be generated and interpreted from the concept lattice using FBCA.FBCA has been applied to a wide range of domains including conceptual clustering, information retrieval and knowledge discovery.
In this paper, we propose a novel FBCA approach for web usage mining. In our approach, the FBCA technique is applied to mine association rules from web usage lattice constructed from web logs. The discovered knowledge(association rules) can then be used for practical web applications such as web recommendation and personalization. We apply the FBCA-mined association rules to web recommendation and compare its performance with that of classical Apriority -mined rules. The results indicate that the proposed FBCA approach not only generates far fewer rules than Apriority-based algorithms, the generated rules are also of comparable quality with respect to three objective performance measures.

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Grid Computing has emerged as an important new field focusing on resource sharing. One of the most challenging issues in Grid Computing is efficient scheduling of tasks. In this paper, we propose a new algorithm for fair scheduling, and we compare it to other scheduling schemes such as the First Come First Served and the Round Robin schemes for a computational grid. It aims at addressing the fairness issue by reducing the service time error..The algorithm assigns to each task enough computational power to complete it within its deadline. The resources that each user gets are proportional to the user’s weight or a share. The weight or share of a user may be defined as the user’s contribution to the infrastructure or the price he is willing to pay for services. Scheduling of tasks is based on an error called the Service time error which fairness among users. Fairness is defined as the proportional allocation of resources to tasks as per their demand. Simulated results and comparisons with the conventional scheduling schemes such as the FCFS and Round Robin are presented.

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The main purpose of this paper is to contribute to the study of cultural factors through the needs, wants, preferences, and expectations of different cultures. 15 university web sites chosen randomly from 11 countries—which are Europe (6 universities), Islamic Countries (3 universities), Far East (2 universities), Australia (1 university), and America (3 universities)—constitute the sample of this study. For this main purpose, the study reveals and determines the cultural factors in web page design through reference to a cross-cultural theory developed by Hofstede (1980) and Marcus and Gould (2000), who applied Hofstede’s (1980) five Cultural Dimensions in considering the usage requirements, preferences, metaphors, appearance, mental models, and navigation of different user web designs.

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Using the graphics processing unit (GPU) to accelerate general-purpose computations has become an important technique in scientific research. However, the development complexity is significantly higher than for CPU-based solutions, due to the mainly graphics-oriented concepts and development tools for GPU-programming. As a consequence, general-purpose computations on the GPU are mainly discussed in the academic domain and have not yet fully reached industrial software development. This paper presents a novel contribution to general-purpose GPU programming – the analysis of the new paradigms of programing for all the programing languages based GPU .

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The main objective aimed by this paper, is the construction of an urban ontology for a publicity panels management system implanted along roads and public way. This paper shows how the GIS domain can take advantage of new ontologies-based approaches of modelling and conceptualization. The Roads department of Constantine city (Algeria country) in which we were interested in our case study, gave us a clear idea on the problems concerning the decision making to critical situations as the accidents, the optimization of the road traffic, management of publicity panels and all underlying problems; the orientation and the good organization of the road also make a primordial preoccupation of this service.
Our objective in this paper is, to assure a best use of the geographical information, by the good representation and interpretation of this information what also implies the understanding and the good decision making. The Department of Roads city of Constantine, uses an information system based on a classical conceptual model E / R (Entity Relationship) and a relational database, but the new system we have developed is based on a ontology obtained in two different ways the first is the manual application of the methodology of ontologies development, called METHONTOLOGY, and the second automatically uses the mapping rules between the model E/R and ontology, but in both cases the user has the impression that works in a classical system, by against behind the interface There are only ontologies, this is the transparency that is ensured by our system to move (migrate) from one system to the an other without disturbing the users.

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This research is aimed at designing and implementing a human computer interface system that tracks the direction of the human gaze. The motion and direction of the iris is used to drive the interface by positioning the mouse cursor accordingly. The location of the iris is done in batch mode. This implies that the frames are stored in a permanent storage device (hard disk, USB drive etc) and are retrieved one by one. Each of the frames is processed thus finding the location of the iris and thereby placing the mouse cursor accordingly. Such a system that detects the iris position from still images provides an alternate input modality to facilitate computer users with severe disabilities.

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The main aim of this paper is to find the smallest set of genes that can ensure highly accurate classification of cancer from micro array data by using supervised machine learning algorithms. The significance of finding the minimum gene subset is three fold:1) It greatly reduces the computational burden and noise arising from irrelevant genes.2) It simplifies gene expression tests to include only a very small number of genes rather than thousands of genes, which can bring down the cost for cancer testing significantly. 3) It calls for further investigation into the possible biological relationship between these small numbers of genes and cancer development and treatment. Our simple yet very effective method involves two steps. In the first step, we choose some important genes using an Analysis of Variance (ANOVA) ranking scheme. In the second step, we test the classification capability of all simple combinations of those important genes using a good classifier such as Support Vector Machines. Our approach obtained very high accuracy with only two genes.

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Virtualisation is one possible business strategy of an organisation. The nature of virtual organisations is that individuals or teams are distributed over different work sites. This leads to barriers in communication, coordination and collaboration between these entities due to dispersed expertise, time zones, languages, cultures, etc. To address these issues, virtual organisations have invested in ICT for supporting collaboration between cross-site colleagues.
One very new collaborative technology is microblogging. Microblogging supports asynchronous communication between multiple persons. Microblogging is based upon transmission of short messages that can be sent from Web-based microblogging systems, instant messaging tools, email or mobile phones. Microblogging has some relevant features like simplicity, immediacy, accessibility and presence.
This paper describes our investigation of the utility of microblogging, particularly the Twitter tool, for collaboration support in a virtual organisation. Since microblogging is very new and was introduced only recently, no work has been done on this exact topic. The investigation involved conducting an online survey to collect participants’ opinions about the utility of Twitter in the workplace after using Twitter over a three-week period. The study yielded quantitative and qualitative results regarding participants’ experience of Twitter. It was found that microblogging could be adapted to virtual organisations quickly due to ease of use in terms of taking less time and effort for creating microblogs. Twitter could be used in virtual organisations for collaboration support because it is believed that the use of Twitter could somewhat improve communication between cross-site co-workers. However, to be well accepted by virtual organisations, Twitter needs improvement and addition to its existing functionality.