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         INTERNATIONAL JOURNAL OF COMPUTER SCIENCE & APPLICATIONS
 

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Year 2008: Volume V Issue III


5th ANNIVERSARY SPECIAL ISSUE

CONTENTS



Paper Title: FEATURE EXTRACTION USING FUZZY RULE BASED SYSTEM. (PDF)
Authors: NARENDRA S. CHAUDHARI and AVISHEK GHOSH.
Abstract: Data projection is an important tool in exploratory data analysis. Sammonís non linear projection method lacks predictability and is ineffective for large data sets. To introduce predictability we implement an extension of Sammonís algorithm using fuzzy logic approach. The fuzzy based rule model is implemented in the .Net framework using Microsoft Visual Studio with Visual C# as the programming language. The datasets used to test the system are stored in MS SQL Server databases and are programmatically linked with Visual Studio. The implemented algorithm is tested with a few datasets and is found to have good predictability and works well with large datasets.
      
Paper Title:  EXPLAINING OBJECT ORIENTED ANALYSIS (OOA) CONCEPTS TO MANAGERS OF AN ORGANIZATION. (PDF)
Authors: K. V. DINESHA and P. G. BHAT
Abstract: It is said that objects occur naturally, meaning that good Object Oriented (OO) model reflects reality. The person who best understands reality is the domain manager; unfortunately he is not computer savvy. This paper attempts to make the manager aware of fundamentals of OO thinking so that he/she feels confident of attempting a first cut OO model of the intended application. Every manager worries about what the proposed software should do for each of the stakeholders for whom the software is being developed. Experiments in industry have brought out that teaching domain specialists about use cases and object concepts make them enthusiastic about participating in the OO modeling of the application. All that is necessary is to expose OO thinking in a way that it reinforces their approach to handling complex situations in practice. This paper is an evangelistic attempt to make managers adapt to OO thinking while conceiving new applications, through easy to understand approach to concepts such as Objects and Use Cases.

Paper Title: INTELLIGENT ROBOTICS: PAST, PRESENT AND FUTURE. (PDF)
Author: RAY JARVIS.
Abstract: This is a position/tutorial paper which begins by tracing the origins and development of Intelligent Robotics and indicates where the field is now and where it may progress to in the near future, covering both fundamental conceptual structures and potential fertile application domains.
 
Paper Title: TOWARDS EFFECTIVE SOLUTIONS FOR PATTERN MANAGEMENT. (PDF)
Authors: BARBARA CATANIA.
Abstract:  Patterns can be defined as knowledge artifacts, providing a compact and semantically rich representation of a huge quantity of heterogeneous raw data. Due to the specific characteristics of patterns, ad hoc systems are required for pattern management, in order to model, store, retrieve, and manipulate patterns in an efficient and effective way. Pattern management historically concerned the definition of specific pattern extraction methods. Nowdays, the diffusion of knowledge intensive applications has required the ability to model and manage, possibly heterogeneous, patterns in an integrated and more specialized way. In this paper, after introducing the pattern management problem, new issues concerning pattern management are pointed out, discussing possible solutions. The identified challenges concern modeling, querying, manipulation, and architectural issues that, from the authorís point of view, should be taken into account in order to design next generation pattern-management systems.

Paper Title: ON UBIQUITOUS INTEGRATED COMPUTING. (PDF)
Authors: KARI ANNE HAALAND THORSEN and CHUNMING RONG.
Abstract: Ubiquitous integrated computing makes possible new workflow processes and business models which can meet the challenges from the fast growing digital convergence. An integrated information framework architecture is proposed, to cope with business challenges to merge and integrated data across domain boundaries. Sensor-data are captured and mapped onto a common (standardized) format where semantic web technologies enable seamless and invisible data-fusion. The proposed architecture raises several technological challenges. Efficient and reliable sensors that can operate in hazardous environment are required. Extended use of sensors may generate vast amount of data, and efficient data filtering, integration and reasoning are needed to benefit from the expanded data collection.

Paper Title: GRID COMPUTING WITH GLOBUS : AN OVERVIEW AND RESEARCH CHALLENGES. (PDF)
Authors: RAJEEV WANKAR.
Abstract: The Open Grid Forum (OGF) is an organization that resulted from the merger of the Global Grid Forum (GGF) and the Enterprise Grid Alliance (EGA). GGF was an international organization that started in 1999, with the focus on the development of open standards for grid soft ware interoperability, common practices, agreements and other related issues and proposed several specifications with the help of several working groups. The grid project started with the aim of using high -end computational recourses, networks, databases and scientific instruments owned and managed by multiple organizations. Globus [5] is one of the most successful projects in grid computing to test these specifications. Although it could overcome many technological barriers, many are still remains as open questions. In this article we discuss about grid, Globus Toolkit and present some of technical challenges the grid community faces. Further, we provide future research directions in Grid Computing.

Paper Title: NATURAL LANGUAGE INTERFACE USING SHALLOW PARSING. (PDF)
Authors: RAJENDRA AKERKAR and MANISH JOSHI.
Abstract: This paper deals with a natural language interface, which accepts natural language questions as inputs and generates textual responses. In natural language processing, Key-word matching based paradigm generate answers, however these answers frequently affected by certain language dependant phenomena such as semantic symmetry and ambiguous modification. Available techniques, described in the literature, deal with these problems using in depth parsing. In this paper, we will present rules to tackle linguistic phenomena using shallow parsing and discuss advantages of a novel Natural Language Interface comprising of shallow parsing based algorithms in conjunction with some intelligent techniques to train the system. Experimental results show that this approach can analyze a wide range of questions with high accuracy and produce reasonable textual responses.


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