Welcome to Journal of Theoretical and Applied Information Technology

Typical real time computer vision tasks require huge amount of processing power and time for handling real time computer vision applications. The nature of processing in a typical computer vision algorithm usually ranges from many small arithmetic operations (Fine Grain Parallelism) to symbolic operations (Coarse grain parallelism). The task become more complicate while considering image processing application due to large data sets and there processing. The existing processing system responds efficiently under sequential working and result in efficient output, but results in a slow operating system which results in a inefficient processing system under high speed image processing systems. Parallel processing founds to be the only solution to obtain the require processing speed for handling high-speed image processing applications. The existing image processing systems support usually only one suit of operations at once and fail to respond under multiple tasks. System taking single instruction or multiple instruction process operates using low level and high-level operations. Generally SIMD architecture is suitable under low level processing while MIMD architecture is suitable for high-level processing. This paper explores on modeling and simulation of parallel Image Processing architecture for Image Processing applications using Parallel Virtual Machine(PVM) , MATLAB external interface API and C language on the Linux operating system platform.

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CODING GAIN ANALYSIS OF ORTHOGONAL POLYNOMIAL BASED SPACE-TIME BLOCK CODE

R.Krishnamoorthy,  K.Selvakumar

In recent years, wireless communication is increasingly used in voice and messaging due to the mobility it offers. There is a growing demand for high data rate wireless communication because of the possibility of using this for internet and multimedia applications in the near future. To achieve high data rate communication, the system has to overcome problems such as multipath fading and cochannel interference. The channel statistic is significantly often Rayleigh which makes it difficult for the receiver to reliably determine the transmitted signal unless some less attenuated  replica of the signal is provided to the receiver. This technique is called diversity, which can be provided using temporal, frequency, polarization and spatial resources. However, in many situations, the wireless channel is neither significantly time variant nor highly frequency selective. This forces the communication engineers to consider the possibility of deploying multiple antennas at both the transmitter and receiver to achieve spatial diversity and also provide high performance. The space-Time Block code is a technique that can provide diversity and coding gain. In this paper we propose  coding gain analysis  of the orthogonal polynomials based on  Space-Time Block Code.

CBR BASED LEARNING IN E-AUCTIONS

The advent of e-commerce has brought about a radical change in the process of auctions that can be achieved by using agents. One of the important capabilities of agent is learning from the environment. In this paper, the authors are proposing case based learning for agents in online e-auctions.  Case-based reasoning (CBR) is a problem solving paradigm based on the principle that similar problems have similar solutions has inherent learning capability. In auctions, CBR has been proposed to store past histories of similar auctions with their solutions which helps agent to learn from past experience. Proposed bidding agent that uses CBR (CBR-agent) participates in the auction and performs better than those bidders who have no past knowledge about similar auctions. Empirical evaluation is done and the performance of CBR-agent is calculated by comparing its success percentage and average winning price with that of other agents participating in auctions.

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Object Oriented Programming Constructs' in VHSIC Hardware Description Language ‘Why & How’

Object Oriented Programming Structure (OOPS) has proved its importance in software development in terms of advantages like Abstraction, Encapsulation, Polymorphism, Concurrency, Modularity and Reusability. Also the Object Oriented codes are found to be more verifiable & maintainable. Hence they allow reduction in efforts for development, testing & maintenance of the software. In current scenario, digital-VLSI design life cycle begins with modeling using some Hardware Description Language (HDL) followed by functional verification of the HDL-model by its simulation. Often, VLSI-developers show interest in getting software that simulates the functional behavior of the hardware for its analysis from different points of concern. For the sack of effort minimization in co-designing of Digital VLSI chips and their simulating software, it is of interest to introduce automation in code conversion from HDL to OOPS and vise versa. Author’s efforts in this direction are summarized in this document. The outcome of this paper may be developed as a code converter from C++ to VHDL and vise versa.

One of the recent developments in telecommunication industry is the introduction of communications through Internet. Some of the applications of internet are easy communications, vast library of information at one place, electronic business through internet, e learning modules and so on. E- learning is an important application of communication through Internet. E Learning is an integrated and continues approach to build knowledge skills and competencies through web enabled technologies. Effective e learning is having advantage in delivering the right content to the right person at the right time.
E learning uses the new or existing network connections connected to internet. The wide area network maintains a high speed connection to an internet service provider that local centers can use to connect to the central LAN from a geographical distance away. Though they offer great accessibility, every one using the internet can see the traffic that passes between a local center and central office over these insecure internet LAN connections.
Considering the fact that different encryption approaches target different types of computational complexity, it may be interesting to see if any further improvement can be achieved when different data encryptions are arranged with compression into a pipeline operation. In this work some effort has been put to calculate computational complexities and computational overhead of some encryption algorithms in e- learning environment.

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K.S.Ravichandran, P.Thirunavukarasu, R. Nallaswamy, R.Babu

The stock market is one of the most popular investing places because of its expected high profit. Traditionally, technical analysis approach, that predicts stock prices based on historical prices and volume, basic concepts of trends, price patterns and oscillators, is commonly used by stock investors to aid investment decisions. Advanced intelligent techniques, ranging from pure mathematical models and expert systems to fuzzy logic networks, have also been used by many financial trading systems for investing and predicting stock prices.  In recent years, most of the researchers have been concentrating their research work on the future prediction of share market prices by using Neural Networks. But, in this paper we newly propose a methodology inwhich the neural network is applied to the investor’s financial decision making to invest all type of shares irrespective of the high / low index value of the scripts, in a continuous time frame work and further it is further extended to obtain the expected return on investment through the Neural Networks and finally it is compared with the actual value.  The proposed network has been tested with stock data obtained from the Indian Share Market BSE Index. Finally, the design, implementation and performance of the proposed neural network are described.

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M.Chitra, RSD.Wahida Banu

Robust and reliable group communication plays a major role in developing distributed mobile application in which unannounced disconnections will occur frequently due to the mobility of the nodes which take part in mobile applications. The main objective is to achieve robust and reliable group communication in mobile ad hoc network based on a guarantee protocol that always considers the transmitting range, location, speed and direction of mobile nodes to ensure successful delivery of the message between the group members by calculating accurate delivery time. The consistent view of application state within the group of mobile nodes participating in application execution is necessary to achieve reliable message delivery. To solve any inconsistency during the group split or merge operation, when mobile hosts go out of the transmitting range, message delivery is assured and decided by guarantee protocol whether to deliver the message or not to avoid any inconsistent state. The guarantee protocol has been analyzed extensively to ensure the efficient communication among the participating hosts despite the high mobility environment and the mobility induced link failure cause inconsistent data and unrecoverability.

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KUMAR RAJNISH, VANDANA BHATTACHERJEE

Software development time depends on various attributes of the software product. In this paper, attempt has been made to define an empirical relation between software development time with respect to its dependence on lines of code, variables and methods.   We have attempted to analyze the various dependencies of development time of a program upon its member functions, instance variables and the number of non-blank, non-comment lines of code. Statistical techniques have been used to assign weights to the independent variables to arrive at the results.

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This paper presents a hybrid system controller, incorporating fuzzy controller with vector-control method for induction motors. The vector-control method has been optimized by using fuzzy controller instead of a simple P-I controller. The presented hybrid controller combines the benefits of fuzzy logic controller and vector-control in a single system controller. High quality of the regulation process is achieved through utilization of the fuzzy logic controller, while stability of the system during transient processes and a wide range of operation are assured through application of the vector-control. The hybrid controller has been validated by applying it to a simulation model.

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M. Murugan,  V. Selladurai

Cellular manufacturing emerged as a production strategy capable of solving the problems of complexity and long manufacturing lead times in batch production. The fundamental problem in cellular manufacturing is the formation of product families and machine cells. This paper presents a new approach for obtaining simultaneous arrangement of part families and machine cells for cellular manufacturing systems. The main feature of the proposed method is, the relevant production data such as process sequences and setup times are taken in to account. It has the ability to select the best solution among the solutions of compactness, group technology efficiency and reducing setup time efficiency for each part before attempting to cluster the machines and parts. The formation of part family and machine cell has been treated as a maximization problem according to a defined performance measure ‘b’.  A genetic algorithm has been developed for solving the cell formation problem considering the reduction in setup time.  The validation has been done based on a real time manufacturing data. This algorithm is written in the ‘C’ language on Intel Pentium / PIII compatible system.

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