Welcome to Journal of Theoretical and Applied Information Technology

Author:

M.M. RAVIKUMAR, A.BHASKAR

Source:

Journal of Theoretical and Applied Information Technology    2008

Abstract

The machining industry has an increasing need for improved characterization of cutting tools for controlling vibration and chatter during the milling process. The chatter is a self excitation phenomenon occurring in machine tools, in which the cutting process tends to decrease the machine structural damping ending with an unstable behavior. The paper is organized as follows: In section 1, the differential equations describing the mechanical model, In section2, the experimental setup and finally, the conclusions are drawn in 3.

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Author:

M. Thiyagarajan, S. Samundeeswari

Source:

Journal of Theoretical and Applied Information Technology    2008

Abstract

In Network Security various attacks have been identified at different stages of intrusion and attempts. Security measures are designed for overcoming individual attacks. These attacks are random in nature and an attempt is made to the multi scale autoregressive model to combine all attempts to attack a network and to measure the total damage done to the machine or network.

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Author:

M.Z.Shaikh, Dr.S.F.Kodad, Dr.B.C.Jinaga

Source:

Journal of Theoretical and Applied Information Technology    2008

Abstract

 The advent of precision three-dimensional micro machining technologies in the last couple of decades has seen the birth of an exciting and potentially revolutionary field called Microelectromechanical Systems (MEMS). The complexity of Microsystems is steadily increasing due to the scaling of microelectronic devices.
Looking at the MEMS devices, the moment the moving elements touch the static part of the system will have a major influence on the overall performance of the device. Hence one definitely needs to consider the touchdown effect in the system behavior .This paper gives a numerical integration approach of capacitive MEMS characteristics modeling.

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Author:

Nagaratna P Hegde, I V Muralikrishna, K V Chalapatirao

Source:

Journal of Theoretical and Applied Information Technology    2008

Abstract

The significant objective of this paper is to describe how Cellular Automata (CA) can be used to predict land use land change in the settlement growth and show the advantage of integrating the Neural Network with CA. Cellular automata have been utilized as a prediction technique in the study of an impressively wide range of dynamic phenomena. A spatial simulation model comprises an assortment of processes performed on spatial data that will produce information, by and large in the form of a map. CA models exude superior performance in simulating land changes compared to conventional models .
CA are much simpler than complex mathematical equations and produce results that are more meaningful and useful. Temporal and spatial complexities of systems can be efficiently modelled by precise definition of transition rules in CA models. GIS is a technology that is employed to view and analyse data from a geographic perspective. In practice, grid cells covers the selected area of study. Consequently, specific ground surface attribute value of interest occurring at the centre of each cell point is recorded as the value for that cell.

Simulation is carried out using traditional CA and Neural Network based CA for the settlement growth for an artificial city and real city. A number of land use sprawl parameters, and different size and shape of neighborhood with some testing constraints are used in this simulation. The results reveal that neural network CA method is more appropriate than traditional CA for predicting the settlement growth.

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Author:

Nachamai. M, T.Santhanam

Source:

Journal of Theoretical and Applied Information Technology    2008

Abstract

Laughter and humor are major ingredients of humanity but does not have any black and white authenticate. Laughter is a physiological process, which activates facial, respiratory and laryngeal muscles. Laughter may occur instinctively - in response to humor or to appropriate emotional or sociological stimuli and can also be elicited upon command – voluntary, contrived or faked laughter. Exploring the pattern of laughter is an intricate and arduous errand. Speech and laughter are quite disparate in the vocalization, duration and in regularity of its occurrence. This work is a convincing attempt to catalog the different types of laughter as positive laughter, negative laughter, laughed speech and vague category. Feature selection was done using Radial Basis Boltzmann Machine Network, categorization was done using an Ergodic- Hidden Markov Model. The corpus used for experimental study was the International Computer Science Institute (ICSI) Meeting Corpus from which 30 meetings were taken as the data set. The technique used has yielded a persuasive result in categorizing the types of laughter.

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Author:

Shivani Gupta, K.S.Patnaik

Source:

Journal of Theoretical and Applied Information Technology    2008

Abstract

The application of Support Vector Machines (SVMs) in face recognition is investigated in this paper. SVM is a classification algorithm recently developed by V. Vapnik and his team. We illustrate the potential of SVMs on the Cambridge ORL face database, which consists of 400 images of 40 individuals, containing quite a high degree of variability in expression, pose, and facial details. Our face recognition systems consist of two major phases. We present an automated facial feature extraction procedure and make use of Near set approach to choose the best feature among the considered one which significantly improves face recognition efficiency of SVM. Near Set approach was introduced by James Peters in 2006, as a result of generalization of rough set theory. One set X is near to another set Y to the extent that the description of at least one of the objects in set X matches the description of at least one of the objects in Y. Also we have shown that for face recognition in ORL face database using SVM with feature selection by near set approach has error rate 0.2% which is very less as compared to error rate obtained in the previous work done by other authors on the ORL face database.

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Author:

 Nemat. S. Abdel Kader

Source:

Journal of Theoretical and Applied Information Technology    2008

Abstract

This paper introduces the influence of GSM encoder/decoder on text independent speaker recognition performance based on Vector Quantization (VQ) classifiers. A database consisting of 136 speakers is used to investigate the system performance. The speaker recognition is evaluated using the original database. The speech files are then passed through the GSM coder/decoder. The coded speech is finally used for training and testing the speaker recognition system. The effect of the additive white Gaussian noise (AWGN) and Rayleigh fading channels on the system performance is also investigated.

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Author:

K.S.Pandya, S.K.Joshi

Source:

Journal of Theoretical and Applied Information Technology    2008

Abstract

The objective of an Optimal Power Flow (OPF) algorithm is to find steady state operation point which minimizes generation cost, loss etc. or maximizes social welfare, loadability etc. while maintaining an acceptable system performance in terms of limits on generators’ real and reactive powers, line flow limits, output of various compensating devices etc. Traditionally, classical optimization methods were used to effectively solve OPF. But more recently due to incorporation of FACTS devices and deregulation of a power sector, the traditional concepts and practices of power systems are superimposed by an economic market management. So OPF have become complex. In recent years, Artificial Intelligence (AI) methods have been emerged which can solve highly complex OPF problems. The purpose of this paper is to present a comprehensive survey of various optimization methods used to solve OPF problems.

Author:

 P. Manoj, N. S. Banerjee, P. Ravichandran

Source:

Journal of Theoretical and Applied Information Technology    2008

Abstract

In the absence of any genetic or sequence information of a closely related species or individuals, showing morphological similarity and limited difference, differential display becomes an important technique to look into their genetic similarity and differences. Plants showing difference like disease resistance and susceptibility can be screened by this technique and sequence homology search can be carried out. Once some potent cDNA fragments were identified, they can be sequenced for full length gene and also design specific primers to screen the particular trait. Using this technique we could identify male and female plants of Piper longum at a younger stage.