Welcome to Journal of Theoretical and Applied Information Technology

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 In this paper we present a novel approach to automatically re-structuring HTML documents by extracting semantic structures from their header and body, The body of a web page is generally software generated via template and it’s layout has a physical schema. Our approach is to extract trees that are based on hierarchical relations in HTML documents, for this task we used two algorithms, first is Header extraction Algorithm which extracts header trees from head of HTML document and second is an algorithm for automatically partitioning HTML documents into tree like semantic structures from body part of web pages. Then we use an application called layout changer which changes a layout of one web page to another by aligning extracted header trees and partition trees.

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 A Neural network is a machine that is designed to model the way in which the brain performs a particular task or function of interest: The network is usually implemented by using electronic components or is simulated in software on a digital computer. “ A neural network is a massively parallel distributed processor made up of simple processing units which has a natural propensity for storing experiential knowledge and making it available for use. It resembles the brain in two respects:
1)Knowledge is required by the network from its environment through a learning process.
2)Interneuron connection strengths, known as synaptic weights, are used to store the acquired knowledge”.
In this paper, we proposed a system capable of recognizing handwritten characters or symbols, inputted by the means of a mouse. The system provides means for training the input characters first, then there is a classification option where the patterns or symbols that have already been trained should be fed, in order to recognize it. There are full options for the users, like (1) To load a default set of patterns which can either be trained or the default training file can be loaded. After which the recognition takes place. (2) To classify a line of text and (3) Options to either load a pattern file, trained or untrained & finally the option to create new patterns by the user to train & classify.

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 The paper describes a practical way of design and realization one simple real time software, better say: executive system. It is applied on an own programmable logic controller - microprocessor measuring station (MMS). In hardware point of view it is a modular unit based on M68HC11 microcontroller. All its functions are driven and controlled by a special real time working program, modular structure. Many program entities are running sequentially. The tasks are the main program elements. Because of many requirements and shortage of resources it was necessary to introduce a priority ordering in task execution. The article explains some principles of software organization and task management. The results achieved in real environment are also included.

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The group mutual exclusion (GME) problem is an interesting generalization of the mutual exclusion problem. Several solutions of the GME problem have been proposed for message passing distributed systems. In this paper we present a new Distributed Group Mutual Exclusion (DGME) based on Clients/Servers model, and uses a dynamic data structure. Several processes (Clients) can access simultaneously to a same opened session (Server). The algorithm ensures that, at any time, at most one session is opened, and any requested session will be opened in a finite time. The number of messages is between 0 and m, where m is the number of session in the network. In the average case, O(Log(m)) messages are necessary to open a session. The maximum concurrency is n, where n is the number of processes in the network.

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 This paper presents a monitoring and Quality Control (QC) tests carried out in the Nigeria National Petroleum Corporation (NNPC) Diagnostic centres in Kaduna, North Western Nigeria. The results of these investigations revealed that both radiation protection and Medical/Health Physicist were visibly missing. Monitoring of the facilities showed that in X-ray suites (room1 and room2), the dose rate found near the cubicle and changing room were in the range of factors of 2.0 - 6.7 and 3.3 - 16.7 higher than the background dose rate respectively. However, in the plant clinic, there were radiation leakages. The quality control test of the rooms showed reproducibility of kilovolt peak (kVp) in room1, while QC tests in room2 were acceptable (fall within the range of the required standard). It was recommended that the plant clinic be shut down because of radiation leakages found there.

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This paper presents a high-performance reconfigurable hardware implementation of the Data Encryption Standard (DES) algorithm. This is achieved by combining pipelining concept with novel skew core key scheduling method and compared with previous illustrated encryption algorithms. The DES design is implemented on Xilinx Spartan-3e Field Programming Gate Arrays (FPGA) technology. Final 16-stage pipelined design is achieved with encryption rate of 7.160 Gbit/s and 2814 number of Configurable logic blocks (CLBs). This result is among the fastest hardware implementations with better area utilization.

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P2P Information Retrieval Framework is a modification of the pastry framework for distributed search application. This framework consists of a peer to peer network of nodes, which voluntarily agree to share their resources by joining the network. While joining the network these nodes construct the active peer list. The files are distributed over the peer to peer network based on the keywords. The searching request could be initialized in anyone of the peers in the peer to peer network. The search request consists of keywords from which unwanted words are removed. This search request is propagated in an incremental fashion across the nodes with the aim of finding the best node in the incremental fashion. The results obtained from each keyword are aggregated and the final result is listed in the node which initiated the search procedure.

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 The important success of the mobile systems of telecommunication motivates the suppliers of service to be reflected about enormous means of investments for infrastructures of network. The conception of big cellular networks is a complex problem, which turns around a big impact: the quality of the service and the cost of the network. With the continuous and fast growth of the traffic of communication, the large-scale planning becomes more and more difficult. This need is now more pointed with the evolution of phone networks (GSM), because of the biggest complexity of the system and the number of parameters which must be considered. In this subject, the solutions of the problems of dynamic optimization, Multicriteria associating the financial criteria (cost of the network), the technical criteria (insurance, availability) are developed in a context and the criteria of sale (quality of service). The interest of metaheuristiques (methods of optimization) is based on their capacity to find the effective solutions in a reasonable time. But with objective multi-problems, the efficiency of metaheuristiques can be compromised. Consequently, in this context it is necessary to integrate these methods into more general arrangements to develop more effective methods. For such reasons we are going to present an approach based on the multi-systems agents and the spatial ontologies, to conceive methods adaptive automobile which can react to the shape of the problem.

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Power system stabilizers (PSSs) are added to excitation system to enhance the damping during low frequency oscillations. This paper presents a study of fuzzy logic power system stabilizer (PSS) for stability enhancement of a single machine power system. In order to accomplish the stability enhancement, speed deviation (Δω) and acceleration (Δ) of the rotor of synchronous generator of Kota Thermal were taken as the input to the fuzzy logic controller. These variables take significant effects on damping on damping of the generator shaft mechanical oscillations. The stabilizing signals were computed using the fuzzy membership functions depending on these variables. The performance of the fuzzy PSS is compared with the conventional power system stabilizer (CPSS). The simulations were tested under different operating conditions and change in reference voltage also tested with different membership functions. The simulation results are quite encouraging and satisfactory

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 In this paper, we deal with the attitude control of a satellite equipped with wheels of reaction, using the static output feedback. In the first part, we set the control and its integral in the state-feedback form. Then, by using the algorithm of Kucera, we establish the necessary and sufficient conditions so that the nonlinear system which models the satellite will be stabilizable by the Static Output Feedback. Thereafter, we present the robust stabilization of the attitude control; this robustness is influenced by the parametric uncertainly of the model and by the input noise in the system. The main results of this paper show that the sufficient conditions for the existence of the robust static output feedback control can stabilize the studied system. The controller proposed here is based upon a generalization of Gronwall’s lemma.

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 This paper proposes and investigates the fast on-line training back propagation algorithm for feed-forward ANN. It presents an ANN based architecture suitable to identify the status of a Switched reluctance motor to minimize the torque ripple.
A hardware implementation of this scheme is on the way to testify the results and implement the scheme to other SRM.

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A criticism of Evolutionary Algorithms might be the lack of efficient and robust generic methods to handle constraints. The most widespread approach for constrained search problems is to use penalty methods, because of their simplicity and ease of implementation. The penalty function approach is generic and applicable to any type of constraint (linear or nonlinear). Nonetheless, the most difficult aspect of the penalty function approach is to find an appropriate penalty parameters needed to guide the search towards the constrained optimum. In this paper, GA’s population-based approach and Ranks are exploited to devise a penalty function approach that does not require any penalty parameter called Adaptive GA-RRWS. Adaptive penalty parameters assignments among feasible and infeasible solutions are made with a view to provide a search direction towards the feasible region. Rank-based Roulette Wheel selection operator (RRWS) is used. The new adaptive penalty and rank-based roulette wheel selection operator allow GA’s to continuously find better feasible solutions, gradually leading the search near the true optimum solution. GAs with this constraint handling approach have been tested on thirteen problems commonly used in the literature. In all cases, the proposed approach has been able to repeatedly find solutions closer to the true optimum solution than that reported earlier.

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Real time audio and video streams and require absolute end to end guarantee for QoS. The key attribute these applications for guarantying for QoS is, they need routing path for connectivity like virtual leased line that is very difficult in the scenario of mobile ad hoc networks due to the mobility of nodes and changing topology conditions. With respect to transfer the contents, resources are required to be reserved along the selected path(s).Regardless of old load balancing and redundant path schemes in this paper we have introduced entirely a new approach in which we find multiple paths and select best three from all those as primary, secondary and ternary on certain criteria of maximum bandwidth and minimum hopes and these paths must be loop free and node disjoined. Resources are reserved on both primary and secondary paths and allocate those reserved resources to different categories of traffic according to their priority on the basis of service agreement made with network. We have designed the complete package of policies and their relevant algorithm for implementation mechanism for allocating the resources to different priority traffics and tried to avoid the route breaks.

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Classical algorithms have been used to search over some space for finding the shortest paths problem between two points in a network and a minimal weight spanning tree for routing. Any classical algorithm deterministic or probabilistic will clearly used O(N) steps since on the average it will measure a large fraction of N records. Quantum algorithm is the fastest possible algorithm that can do several operations simultaneously due to their wave like properties. This wave gives an O(sqrt(N) ) steps quantum algorithm for identifying that record, where was used classical Dijkstra’s algorithm for finding shortest path problem in the graph of network and implement quantum search. Also we proposed the structure for non-classical algorithms and design the various phases of the probabilistic quantum-classical algorithm for classical and quantum parts. Finally, we represent the result of implementing and simulating Dijkstra's algorithm as the probabilistic quantum-classical algorithm.

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The area of personal and wireless communications is a burgeoning field. Technology advances and new frequency allocations for personal communication services (PCS) are creating numerous business and technical opportunities. It is becoming clear that an essential requirement for exploiting opportunities is the ability to track the dramatic changes in wireless technology. One of the major challenges for future personal communication systems (PCS) and personal communication networks (PCN) is the capacity needed to meet the growing demand. PCS provides the user with an all-in-one wireless phone, paging, messaging, and data service having a greatly improved battery-standby time.