Welcome to Journal of Theoretical and Applied Information Technology

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In this paper, we described an innovative methodology of recognizing four main postures namely standing, sitting, bending and lying position using correlation filter particularly Unconstrained Minimum Average Correlation Energy (UMACE). Initial results prove the UMACE filters offer significant potential in posture recognition task. The filter was subjected to a challenging task to recognize human posture without any restriction on the gender, clothing and posture variations. Classification outcome confirm the UMACE filter performs remarkably well with an average accuracy of 85%.

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Induction motors are extensively used in industrial and household appliances consume about 54% of the total consumed electrical energy. The need for energy conservation is increasing the requirements for saving the electrical energy. It is therefore important to optimize the efficiency of motor drive systems if significant energy savings are to be obtained. This paper proposes a new control scheme based on artificial neural networks taking advantage of Nola theory which states that at a certain torque and speed operating point there exist only one set of voltage amplitude and frequency that operates the machine at optimum efficiency

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This paper presents the development of bilingual e-learning system and reports on its usability on a set of computing courses according to a specific e-content development methodology. The system is organized into five layers. The selection of layers and their inter-dependencies is intended to make the functional responsibility clearer and to cover all of the e-learning functional components. The tool is equipped with a tracking system to observe users' learning activities in real-time by monitoring the major possible number of behavioral aspects. The tool can be used for Arabic or English e-contents, or a mix of the two languages. It has been used in various computing courses where it has been proven helpful to students and teachers alike.

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Zone Routing Protocol (ZRP) is a most promising and widely accepted and well proved hybrid routing protocol in Mobile Ad-hoc Networks (MANETs) for its performance when compared with table-driven and on-demand protocols. Our study is based on using the concept of genetic algorithms to provide a set of available paths to the destination in order to load balance the network. This gives us the reduction in overhead and better delivery of packets. We call this new routing protocol as Genetic Zone Routing Protocol (GZRP).

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Most current intrusion detection systems are signature based ones or machine learning based methods. Despite the number of machine learning algorithms applied to KDD 99 cup, none of them have introduced a pre-model to reduce the huge information quantity present in the different KDD 99 datasets. Clustering is an important task in mining evolving data streams. Besides the limited memory and one-pass Constraints, the nature of evolving data streams implies the following requirements for stream clustering: no assumption on the number of clusters, discovery of clusters with arbitrary shape and ability to handle outliers. Traditional instance-based learning methods can only be used to detect known intrusions, since these methods classify instances based on what they have learned. They rarely detect new intrusions since these intrusion classes has not been able to detect new intrusions as well as known intrusions. In this paper, we propose some clustering algorithms such as K-Means and Fuzzy c-Means for network intrusion detection. The experimental results obtained by applying these algorithms to the KDD-99 data set demonstrate that they perform well in terms of both accuracy and computation time.
 

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It is always a difficult task to select stocks that are suitable for a portfolio. The main aim of every investor is to earn maximum possible returns on investment. There are many criteria behind picking stocks like, price-earnings ratio, price book ratio, price sales ratio, price cash flow ratio, and market capitalization. The main issue with any approaches is the proper weighting of criteria to obtain a list of stocks that are suitable for a portfolio. This paper proposes an improved method for stock picking using self-organizing maps. The best of the portfolio constructed by self-organizing maps outperformed the NSE-50 Index by about 14.88% based on one and half month of stock data.

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Time division multiple access (TDMA) is a channel access method for shared medium (usually radio) networks. It allows several users to share the same frequency channel by dividing the signal into different timeslots. The users transmit in rapid succession, one after the other, each using his own timeslot. This allows multiple stations to share the same transmission medium (e.g. radio frequency channel) while using only the part of its bandwidth they require. TDMA is used in the digital 2G cellular systems such as Global System for Mobile Communications (GSM), IS-136, Personal Digital Cellular (PDC) and iDEN, and in the Digital Enhanced Cordless Telecommunications (DECT) standard for portable phones. It is also used extensively in satellite systems, and combat-net radio systems. TDMA is the only technology that offers an efficient utilization of hierarchical cell structures (HCSs) offering pico, micro, and macrocells. HCSs allow coverage for the system to be tailored to support specific traffic and service needs. By using this approach, system capacities of more than 40-times AMPS can be achieved in a cost-efficient way.Because of its inherent compatibility with FDMA analog systems, TDMA allows service compatibility with the use of dual-mode handsets.

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The Global Positioning System (GPS) is a U.S. space-based radionavigation system that provides reliable positioning, navigation, and timing services to civilian users on a continuous worldwide basis -- freely available to all. GPS provides specially coded satellite signals that can be processed in a GPS receiver, enabling the receiver to compute position, velocity and time. Basically GPS works by using four GPS satellite signals to compute positions in three dimensions (and the time offset) in the receiver clock. GPS provides accurate location and time information for an unlimited number of people in all weather, day and night, anywhere in the world. Anyone who needs to keep track of where he or she is, to find his or her way to a specified location, or know what direction and how fast he or she is going can utilize the benefits of the global positioning system. Everyday activities such as banking, mobile phone operations, and even the control of power grids, are facilitated by the accurate timing provided by GPS.

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New wireless technologies such as WiMAX, NFC and ZigBee are rapidly being adopted, along with existing wireless standards such as Bluetooth, Wi-Fi, GSM and other cellular technologies. Bluetooth and Wi-Fi have already become notorious for severe security shortcomings during their relatively brief existence. New vulnerabilities and exploits are reported and demonstrated every week on live public networks. The credibility of these wireless technologies has been damaged by security incidents, stemming from fundamental problems in requirement gathering, implementation quality and protocol design. Despite boasts of hardened security measures, security researchers and black-hat hackers keep humiliating vendors. On the other hand, GSM and various descendant technologies have been almost 100 percent free of security incidents. What can be done to avoid making the same mistakes all over again with new emerging wireless technologies such as WiMAX? What is the anatomy and evolution behind security problems, and why have some cellular technologies been almost problem-free? This paper draws from the past and current state of existing wireless technologies and reflects experiences with emerging technologies. It describes how robustness-testing techniques can be used to assess the security of the available implementations and give statistics about the current state of affairs of Bluetooth and Wi-Fi. Quality and reliability improvements in these implementations will lead directly to decreased development and deployment costs, as well as increased public acceptance and faster adoption.

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The current study focuses on the effectiveness of interactive instruction CDs which was designed for pre-school students. Sixty-seven second grade students who were taking “Computer Teaching in Pre-School Education” at Anadolu University, Education Faculty, and Department of Pre-school Education participated in the current study. The data were collected in the fall semester of 2006. The data collection procedure lasted for 14 weeks. “Computer Aided Instructional Tool Evaluation Scale” was developed to analyze the current data. The aim of the scale instrument is to determine the effectiveness of interactive instruction CDs designed for the pre-school students. Descriptive survey was used to examine the resulting opinion of the students. For the research question, Arithmetic Mean (X), Frequency (f) and percentage (%) scores was used.

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The tremendous growth in video data calls for efficient and flexible access mechanisms. In this paper, we propose an ontology-driven framework for presentation video annotation and access. The goal is to integrate ontology into video systems to improve users’ video access experience.
To realize ontology-driven video annotation, the first and foremost step is video segmentation. Current research in video segmentation has mainly focused on the visual and/or auditory modalities. In this paper, we investigate how to combine visual and textual information in the hierarchical segmentation of presentation video data. With average F-scores over 0.92, our experiments show that the proposed segmentation procedure is effective.
After a video is segmented, video annotation data can be extracted. To extract annotation data from a video and its segments, and to organize them in a way that facilitates video access, we propose a multi-ontology based multimedia annotation model. In this model, a domain-independent multimedia ontology is integrated with multiple domain ontologies. The goal is to provide multiple, domain-specific views of the same multimedia content and, thus, better address different users’ information needs.
With extracted annotation data, ontology-driven video access explores domain knowledge embedded in domain ontologies and tailors the video access to the specific needs of individual users from different domains. Our experience suggests that ontology-driven video access can improve video retrieval relevancy and, thus, enhance users video access experience.

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In this paper, design of novel autotransformer based 18-pulse Ac-Dc Converter fed vector controlled induction motor drive is discussed and its Matlab/Simulink model is also given. The design procedure for proposed autotransformers shows the flexibility in the design for making it a cost effective replacement suitable for retrofit applications, where presently a six-pulse diode bridge rectifier is used. Using the above designs we can capable to suppress harmonics up to 13th in 18-pulse configuration of the VCIMD. Various simulation results are given for autotransformer and VCIMD in topology C and D. THD analysis at No load and Load is also done.

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Since it is difficult for curators who are not information field specialists to provide teaching materials on the Internet, we built a content management system to support the delivery of teaching materials on the Internet. Specifically, our system, which allows correspondence between various platforms, considers the distribution method of teaching materials in cooperation with an actual planetarium program. As a result, curators effectively utilized the Internet and distributed teaching materials. To clarify the usefulness of this research, the curators of the Nagoya City Science Museum used and evaluated the system.

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An enhanced authentication key exchange protocol was proposed to exchange multiple session keys between two participants at a time. This paper shows that this enhanced protocol is insecure under the known session key attack, known long-term private key attack, signature forgery attack, and replay attack. This paper also proposes an enhanced and secure key agreement protocol for exchanging multiple session keys in one run of the protocol. The protocol is secure against the attacks mentioned above. Besides, a formal proof is given to guarantee the security of the proposed protocol under other potential attacks.

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In this paper we will present the design and development of a proposed expert system that aims to improve the method of selecting the best suitable faculty/major for student planning to be enrolled in Al-Azhar University. The basic idea of our approach is designing a model for testing and measuring the student capabilities like intelligence, understanding, comprehension, mathematical concepts and others, and applying the module results to a rule-based expert system to determine the compatibility of those capabilities with the available faculties/majors in Al-Azhar University. The result is shown as a list of suggested faculties/majors that are most suitable with the student capabilities and abilities.