Welcome to Journal of Theoretical and Applied Information Technology

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 We propose a novel unsupervised classification model which combines colour and texture features. Each feature is associated to a so called feature vector, where a colour fuzzy texture spectrum is defined using only the corresponding feature. It interacts with each feature vector and provides the unsupervised texture classification based on the combination of different features. The model is quite generic and isn’t restricted to a particular texture feature. Herein we tested this algorithm using other texture features. Furthermore, the proposed algorithm automatically estimates the number of classes. The proposed approach gives good accuracy when compared with other methods.

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 Pattern recognition techniques are associated a symbolic identity with the image of the pattern. In this work we will analyze different neural network methods in pattern recognition. This problem of replication of patterns by machines (computers) involves the machine printed patterns. The pattern recognition is better known as optical pattern recognition. Since, it deals with recognition of optically processed patterns rather then magnetically processed ones. A neural network is a processing device, whose design was inspired by the design and functioning of human brain and their components. There is no idle memory containing data and programmed, but each neuron is programmed and continuously active. Neural network has many applications. The most likely applications for the neural networks are (1) Classification (2) Association and (3) Reasoning. One of the applications of neural networks is in the field of pattern recognition. The Bidirectional associative memory does heteroassociative processing in which, association between pattern pairs is stored. The Bidirectional Associative has capacity limitations. It can store and correctly recognize only six characters, with the condition that the characters should be slightly similar in shape.

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 Due to increasing incidents of cyber attacks, the demand for effective internet security is increasing. Cryptology is the science and study of systems for secret communication. It consists of two complementary fields of study: cryptography and cryptanalysis. In this paper, we propose a cryptanalysis method based on genetic algorithm, tabu search & simulated annealing to break a transposition cipher. We will also compare and analyze the performance of these algorithms in automated attacks on a transposition cipher. A generalized version of these algorithms can be used for attacking other cipher as well.

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Radio Frequency Identification is a dedicated short range communication (DSRC) technology. With RFID, the electromagnetic or electrostatic coupling in the RF (radio frequency) portion of the electromagnetic spectrum is used to transmit signals. An RFID system consists of an antenna and transceiver, which read the radio frequency and transfer the information to a processing device (reader) and a transponder, or RF tag, which contains the RF circuitry and information to be transmitted. The antenna provides the means for the integrated circuit to transmit its information to the reader that converts the radio waves reflected back from the RFID tag into digital information that can then be passed on to computers that can analyze the data. In RFID systems, the tags that hold the data are broken down into two different types. Passive tags use the radio frequency from the reader to transmit their signal. Passive tags will generally have their data permanently burned into the tag when it is made, although some can be rewritten. Active tags are much more sophisticated and have on-board battery for power to transmit their data signal over a greater distance and power random access memory (RAM) giving them the ability to store up to 32,000 bytes of data. RFID is used to describe various technologies that use radio waves to automatically identify people or objects. RFID is becoming increasingly prevalent as the price of the technology decreases.

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 This paper proposes a load sharing algorithm with higher priority given to the videos with higher weights using agent technology. A mobile agent periodically updates the popularity and the weight of the videos which is used for efficiently allocating the channels. The proposed approach reduces the load on the central multimedia server, allocates more channels for higher weight videos and maximizes the channel utilization between the neighboring proxy servers and the central multimedia server. The simulation results prove the load sharing among the neighboring proxy servers and hence reducing the load on central multimedia server, maximum channel utilization and more channel allocation for weight videos.

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 Today, the increase in the demand for higher education has made it necessary for individuals to take professional development trainings and life-long learning into consideration following their university education due to the requirements of business life. In addition, institutions require their personnel to develop their knowledge and skills constantly. As a result, there has been an increase in virtual education applications in the world. Especially higher education institutions open online courses in virtual classes and execute virtual education applications in accordance with the needs of public and private institutions. However, for the virtual class applications executed to provide an effective online educational environment, it is necessary to determine the efficiency of these applications in terms of principles of multimedia designing. In this respect, this study evaluates the 42 visuals and 72 multimedia screens – used in virtual class applications executed in four universities leading online learning - in terms of principles of multimedia designing and use of visuals.  As a result of the study, it was revealed that not enough visuals were used in instructional multimedia messages used in virtual class applications executed for educational purposes at universities, that there was unnecessary use of the scroll-bar, and that the visuals and the related explanations were not efficiently made free of cognitive load. In line with the research findings, it is seen that universities experienced enough in virtual class applications are not able to use multimedia components functionally.

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 With the advance of wireless communication technologies, small-size and high-performance computing and communication devices like commercial laptops and personal digital assistants are increasingly used in daily life. After the success of second generation mobile systems, more interest was started in wireless communications. This interest has led to two types of wireless networks: infrastructured wireless network and infrastructureless wireless network, it is also called Mobile Ad-Hoc Network (MANET). The Mobile Ad Hoc Networks are essentially suitable when infrastructure is not present or difficult or costly to setup or when network setup is to be done quickly within a short period. They are very attractive for tactical communication in the military and rescue missions. They are also expected to play an important role in the civilian fora such as convention centers, conferences, and electronic classrooms. The nodes in the MANET are typically powered by batteries which have limited energy reservoir. Some times it becomes very difficult to recharge or replace the battery of nodes; in such situation energy conservations are essential. The lifetime of the nodes show strong dependence on the lifetime of the batteries. In the MANET nodes depend on each other to relay packets. The lost of some nodes may cause significant topological changes, undermine the network operation, and affect the lifetime of the network. Hence the energy consumption becomes an important issue in MANET. We proposed an Energy-aware Node-disjoint Multipath Routing (ENDMR) protocol, which balances node energy utilization to increase the network lifetime, it takes network congestion into account to reduce the routing delay and increases the reliability of the packets reaching the destination.

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 This paper deals with the implementation of FM-ZCS-QRC fed DC servo drive using micro controller. The salient feature of QRC is that the switching devices can be either switched on at zero voltage or switched off at zero current, so that switching losses are zero ideally, switching stresses are low, volumes are low and power density is high. This property imparts high efficiency and high power density to the converters. The output of QRC is regulated by varying the switching frequency of the converter. Hence it is called Frequency modulated Zero current/zero voltage switching quasi resonant converter. The present work deals with simulation and implementation of DC Servo motor fed from ZCS-QRC. Simulation results show that the ZCS-QRC’s have low total harmonic distortion. The ZCS-QRC operating in half wave and full wave modes are simulated and implemented successfully. The experimental results are compared with the simulation results.

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In this paper three systems are joined together in order to mitigate distortion effect caused by multipath fading. Those systems are; space time block coding (STBC), code division multiple access (CDMA), and orthogonal frequency division multiplexing (OFDM). The proposed STBC OFDMCDMA system has been simulated in the presence of frequency selective fast multipath fading channel which is considered the worst form of channel fading. Therefore, system performance depends mainly on channel equalization technique applied at the receiver. In this paper, a comparison among three channel equalization schemes was introduced, those schemes are; phase equalizer (PE), maximal ratio (MR), and minimum mean square error equalizer (MMSE). Those equalization schemes have been compared under various system conditions and using different modulation techniques. The main problem of OFDM system is the relative high peakto-average power ratio (PAR). Therefore, three techniques for reducing the PAR have been applied into the proposed STBC OFDM-CDMA transmitter. Channel coding is essential for any wireless communication system especially in the presence of this bad fading form. This is coming from its ability of error detection and correction at the receiver. Two types of channel  coding, Hamming and convolutional coding, have been introduced into the proposed system in order to enhance its performance

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A broad range of AI and multi-Agent problems fall in to the Distributed Constraint Satisfaction Problems category. Many of the problems in this domain are real-world problems. This fact makes DisCSPs an effective area of research. Considering all of the efforts that have recently been accomplished for solving these kinds of the problems, the most successful algorithm proposed is Asynchronous Partial Overlay (APO), which is a mediation-based algorithm. APO tries to solve the problem first by dividing the whole problem in to smaller portions and then solving these sub-problems by choosing some agents as mediators. This paper presents a new and effective strategy to select these mediators; moreover, it introduces two new expansion algorithms of APO that use this new strategy. These algorithms are called MaxCAPO and MaxCIAPO. The chief idea behind this strategy is that the number of mediators' conflicts (violated constraints) impacts directly on their performance. Experimental results show that choosing the agents which have the most number of conflicts as mediators not only leads to a considerable decrease in APO complexity, but also can decrease the complexity of the other extensions of the APO, such as IAPO algorithm. The results of using this conflict-based mediator selection strategy show a rapid and desirable improvement, in comparison with APO and IAPO, over various parameters such as the message and runtime complexities.

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 This paper describes the problem of voltage sags and swells and its severe impact on non linear loads or sensitive loads. The dynamic voltage restorer (DVR) has become popular as a cost effective solution for the protection of sensitive loads from voltage sags and swells. The control of the compensation voltages in DVR based on dqo algorithm is discussed. It first analyzes the power circuit of a DVR system in order to come up with appropriate control limitations and control targets for the compensation voltage control. The proposed control scheme is simple to design. Simulation results carried out by Matlab/Simulink verify the performance of the proposed method.

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 In this paper load flow study is carried out by modeling the load using the concepts of Fuzzy Set Theory (FST).The input load patterns are generated by adopting Trapezoidal Membership Function(TMF) for both real and reactive power demands. The NRLF is used to obtain the voltage magnitudes and phase angle of the buses for different loads obtained by the TMF. The RBF neural network is trained to learn the features of the load to estimate the bus bar voltage and angles. The ANN is used to instantly recall the output for an untrained set of inputs without going through the conventional iteration procedure. The RBF’s are easy to train and the training time required is observed to be less. The load flow study of that forecasted data is carried out on an IEEE -14 bus test system. The Recall response of RBFN for untrained set of load is close agreement with the standard Newton-Raphson Load Flow (NRLF) algorithm.

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Information Technology (IT) parameters are very important to develop of food industry. In this research IT parameters that are effective to food industry development have been determined. Also the food industry indexes and effect of information technology indexes on each it have been investigated. IT parameters that have been considered were eCRM, MRP, MRP II, ERP, eSCM, Data Base Application, DSS, SIS, MIS, Networking, and EDI. Results can help the managers of food industry to planning for improve their industries.
According to the results: ERP can apply magic affect to the major food industry processes. CRM helps food industries to use technology and human resources to gain insight into the behaviors of customers and the value of those customers. SCM can cut costs substantially, since you no longer need to pay to produce and store excess goods. MRP can computerized approach to inventory planning, manufacturing scheduling, supplier scheduling, and overall corporate planning. MRP II improves the best using of resources and can control the equivalent distribution of resources. DSS can help manager to take a good decision about quality of production and also improve electronic industry management. SIS is benefit for make strategic plan in huge company. MIS is affecting on integrate financial information, manufacture inventory, and integrate customer order information, respectively. EDI allows for the ability to send and receive information at any time thereby tremendously improving an organizations ability to communicate quickly and efficiently. Internet is most effective on food industry development parameters. Data base application is more useful to integrate financial information. And networking is very effective on speed up manufacturing processes.

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Basic Kanji is a graphical kanji learning tool originally designed to provide necessary information about each kanji. It takes into consideration the target audience, autonomous learners, by including features that may promote the learners use of strategies. The software displays kanji compounds in correct stroke order, meanings with audio pronunciations as well as a number of their usages to provide autonomous learners with tools for studying on their own without formal instruction. Experimental evaluation that used the Motivated Strategies for Learning Questionnaire, indicated significant improvements in students' motivation and autonomous language learning strategies.

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Wireless networks allow a more flexible model of communication than traditional networks since the user is not limited to a fixed physical location. Unlike cellular wireless networks, an ad hoc wireless network does not have any fixed communication infrastructure. For an active connection, the end host as well as the intermediate nodes can be mobile. Therefore routes are subject to frequent disconnections. In such an environment, it is important to minimize disruptions caused by the changing topology for critical application such as voice and video. This presents a difficult challenge for routing protocols, since rapid reconstruction of routes is crucial in the presence of topology changes. By exploiting non-random behaviors for the mobility patterns that mobile users exhibit, we can predict the future state of network topology and perform route reconstruction proactively in a timely manner. Moreover, by using the predicted information on the network topology, we can eliminate transmissions of control packets and thus reduce overhead. This paper proposes a methodology of routing protocol for misbehaving network called RMP-ANT (Route Management Protocol for Ad Hoc Network) with a power management scheme called as MARI (Routing Intelligent Mobile Agent) protocol, and discusses about the various schemes to improve routing protocol performance by using mobility prediction. The protocol used here enables nodes to detect misbehavior by observing the status of the nodes. The paper also proposes distributed reputation system that can cope with false information and effective utilization of the power.