Showing papers by "SDM College of Engineering and Technology published in 2006"

Exploring the Capabilities of Mobile Agents in Distributed Data Mining

Abstract: Over the past decade, data mining has gained an important role in analysis of large datasets and there by understanding the complex systems in almost all areas. Such datasets are often collected in a geographically distributed way, and cannot, in practice, be gathered in to single repository. Existing data mining methods for distributed data are of communication intensive. Many algorithms for data mining have been proposed for a data at a single location and some at multiple locations with improvement in terms of efficiency of algorithms as a part of quality but effectiveness of these algorithms in real time distributed environment are not addressed, as data on the Web/network are distributed by very of its nature. As a consequence, both new architectures and new algorithms are needed. In this paper we introduce the software agent technology that supports building of distributed data mining architecture and explore the capabilities of mobile agents' paradigm and would show by experiment that, it is suited for distributed data Mining compared to traditional approaches like client server computing

On the effect of temperature on the dielectric relaxation time of some benzene derivatives and certain of their binary mixtures

Abstract: Dielectric relaxation behaviour of polar molecules in a non-polar solvent, or mixtures of these substances at different microwave frequencies and over a range of temperatures and concentrations give an idea about inter- and intra-molecular forces. Also such studies enable one to calculate thermodynamic parameters such as, the change of activation energy for dipole orientation (Δ G∗), the enthalpy (Δ H∗) and entropy (Δ S∗) of activation. Such studies in the case of binary, ternary, etc. mixtures of polar molecules in pure liquid phase or in dilute solution phase of them in a non-polar solvent help in drawing certain quantitative conclusions regarding their relaxation behaviour as to whether a single component is responsible for observed microwave absorption, or a cooperative phenomenon (average) by all the dipoles of the mixture contribute to it. An experimental investigation is here performed on typical systems. With this in view, systematic dielectric measurements in a range of temperatures are carried o...

Ubiquitous Object Categorization and Identity

Abstract: Ubiquitous computing technology provides an environment where users expect to access resources and services anytime and anywhere. Everyday objects communicate with each other and also with the Internet objects available today. People have an increasing desire for such ubiquitous access to information, anywhere, anyplace, and anytime. As ubicomp occurs everywhere, there may be a very large number of users/objects interacting with each other simultaneously in future. This necessitates the question of how to uniquely provide identity to infinitely growing objects and standard towards the uniformity of the data being exchanged by the various objects. The serious security risks and problems arise because resources can now be accessed by almost anyone with a mobile device in such an open model. In this paper, author proposes the way of providing uniqueness in scalable object identity, object categorization and standard in data being exchanged by various ubicomp compliant objects and explore the security issue in ubiquitous computing with a focus on authentication.

Characterization of Some Liquid Crystals through Sound and Thermodynamic Parameters

Abstract: The structural changes arising from transition between the mesophases of liquid crystalline materials can be better understood by ultrasound in conjunction with specific volume properties. In particular, ultrasonic studies are found to give clear information regarding the nature of the phase transition, pretransitional effects, and molecular ordering. For example, temperature corresponding to the maximum value of acoustic impedance, adiabatic compressibility, and temperature corresponding to the minimum value of ultrasonic velocity, Rao's number, order parameter, and molar compressibility, in thermotropic liquid crystals are very useful in understanding their structural behavior. In view of these facts, it was thought worthwhile to study ultrasonic velocity with data available for density measurements on pure samples of nematics, namely, 4,4′-azoxy anisole and 4,4′-dibutoxy azoxy benzene. The results of this work, are presented in this article and discussed.

Extraction of flat and nested data records from web pages

Abstract: This paper deals with studies the problem of identification and extraction of flat and nested data records from a given web page. With the explosive growth of information sources available on the World Wide Web, it has become increasingly difficult to identify the relevant pieces of information, since web pages are often cluttered with irrelevant content like advertisements, navigation-panels, copyright notices etc., surrounding the main content of the web page. Hence, it is useful to mine such data regions and data records in order to extract information from such web pages to provide value-added services. Currently available automatic techniques to mine data regions and data records from web pages are still unsatisfactory because of their poor performance. In this paper, we propose a new method to identify and extract the data records from the web pages automatically. Given a page, the proposed technique first identifies the data region based on the visual clue information. It then extracts each record from the data region and identifies it whether it is a flat or nested record based on visual information -- the area covered by and the number of data items present in each record. The experimental results show that the proposed technique is effective and better than existing techniques.

A study on thermodynamic and sound parameters of some nematics

Abstract: Measurements of ultrasonic velocity and density of solutes in dilute solutions as a function of concentration and temperature can be used to obtain several thermodynamic and acoustical parameters and their excess adiabatic compressibility. The physical parameters that can be determined through these are: molar sound velocity or Rao's number (R), molar compressibility or Wada's constant (B), characteristic acoustic impedance (Z), intermolecular or free length (L f), free volume (V f), available volume (V a) and adiabatic compressibility (β). These parameters play an important role in the phenomenon associated with intermolecular interaction and hence in sound transmission. For example, the parameter Z that is determined by the product of density (d) and ultrasonic velocity (c) has a greater significance as a characteristic property of the medium than does either the density or velocity individually so also in case of sound transmission the parameter of more concern is the molar sound volume (V m) rather th...

Distributed Multi level Security token based Authentication for Ubiquitous Objects-DMSA

Abstract: Ubiquitous computing technology provides an environment where users expect to access resources and services anytime and anywhere. The serious security risks and problems arise because resources can now be accessed by almost anyone with a mobile device in such an open model. This paper explores security in ubiquitous computing with focus on authentication. We propose a new model, which uses distributed hierarchical tree based approach for authenticating ubiquitous objects which overcomes the problems associated with centralized source of information.

A Novel Secant Based Method for Recognition of Handwritten Pitman Shorthand Language Consonants and Vowels

Abstract: Pitman Shorthand Language (PSL) is a phonetic based language developed in 1837 to translate speech into text. Recognition of text recorded in PSL is an interesting research problem. The PSL has the practical advantage of high speed of recording, more than 120-200 words per minute, because of which it is universally acknowledged. This recording medium has its continued existence inspite of considerable developments in speech processing systems, which are not universally established yet. In order to exploit the vast transcribing potential of PSL a new area of research on automation of PSL processing is conceived. In this work, we have proposed the secant based method for recognition of PSL characters. The work comprises of preprocessing such as thinning and filling, determination of end points of the handwritten strokes. Slope of the strokes are determined using end points of the stroke. Characters are classified based on the estimated slopes of secants and other features such as stroke type and thickness. The vowels are classified based on the vowel type such as dash or dot and thickness and position with respect to a stroke. The proposed work is thoroughly tested for a large number of handwritten strokes. The recognition rates are estimated and found to be in the range of 60 to 95 %.

The Nature of the Cyber Firm-2006: Building An Affordance Architecture

Abstract: [1] Recognized web data stream as a source of new business creation and proposed a contextual business model that creates business value by converting the disparate data stream into meaningful context and serves its contextual customers. In this paper, we develop our model further and exemplify with an application that is currently in progress. Our contribution is two fold: use of affordance [2] as the basis of business value creation, and use of controlled vocabulary as a means of creating affordance for a specific domain of contextual users.