DolNet: A Division Of Labour Based Distributed Object Oriented Software Process Model

Distributed Software Development today is in its childhood and not too widespread as a method of developing software in the global IT Industry. In this context, Petrinets are a mathematical model for describing distributed systems theoretically, whereas AttNets are one of their offshoots. But development of true distributed software is limited to network operating systems majorly. Software that runs on many machines with separate programs for each machine, are very few. This paper introduces and defines Distributed Object Oriented Software Engineering DOOSE as a new field in software engineering. The paper further gives a Distributed Object Oriented Software Process Model DOOSPM, called the DolNet, which describes how work may be done by a software development organization while working on Distributed Object Oriented DOO Projects.Comment: 9 pages, 3 figures. arXiv admin note: substantial text overlap with arXiv:1209.445

The Future of Neural Networks

The paper describes some recent developments in neural networks and discusses the applicability of neural networks in the development of a machine that mimics the human brain. The paper mentions a new architecture, the pulsed neural network that is being considered as the next generation of neural networks. The paper also explores the use of memristors in the development of a brain-like computer called the MoNETA. A new model, multi/infinite dimensional neural networks, are a recent development in the area of advanced neural networks. The paper concludes that the need of neural networks in the development of human-like technology is essential and may be non-expendable for it.Comment: 6 pages, 2 figure

Applicability of Crisp and Fuzzy Logic in Intelligent Response Generation

This paper discusses the merits and demerits of crisp logic and fuzzy logic with respect to their applicability in intelligent response generation by a human being and by a robot. Intelligent systems must have the capability of taking decisions that are wise and handle situations intelligently. A direct relationship exists between the level of perfection in handling a situation and the level of completeness of the available knowledge or information or data required to handle the situation. The paper concludes that the use of crisp logic with complete knowledge leads to perfection in handling situations whereas fuzzy logic can handle situations imperfectly only. However, in the light of availability of incomplete knowledge fuzzy theory is more effective but may be disadvantageous as compared to crisp logic.Comment: 4 pages, 1 tabl

A Metric For The Activeness Of An Object-Oriented Component Library

In this paper, an attempt has been made to analyze the Activeness of an Object Oriented Component Library and develop a special type of software metric called Component Activeness Quotient which is defined as the degree of readiness of an OOCL. The advantages of the CAQ include a possible comparison between various OOCLs leading to selection of the best OOCL for use during the development task, and Stability of the software can be gauged as indicated by the value of the CAQ. The disadvantage of the CAQ is that it may have some error because of its subjective and random nature. The paper also tries to improvise the calculation of the Activeness Quotient. The extreme case of a software organization having an RQ greater than 1 and MQ equal to 0 was not handled by the method of taking an average of RQ and MQ to calculate the AQ. The improvisation is that the AQ must be equal to a product of MQ and RQ and this is mentioned in the Appendix.Comment: 6 pages. arXiv admin note: text overlap with arXiv:1209.445

A Metric for the Activeness of a Distributed Object Oriented Component Library

This paper makes an attempt to analyze the Activeness of a Distributed Object Oriented Component Library and develops a software metric called Distributed Component Activeness Quotient which is defined as the degree of readiness of a DOOCL. The advantages of the DCAQ include a possible comparison between various DOOCLs leading to selection of the best DOOCL for use during the development task, and providing a measure for gauging the usefulness of the DOOCL as indicated by the value of the DCAQ. The disadvantage of the DCAQ is that it may have some error because of its subjective and random nature. The Stability of a DOOCL is another characteristic which is indicated by the DCAQ. The greater the value of the DCAQ, greater will be the stability of the corresponding DOOCL.Comment: 9 page

Application of Fuzzy Mathematics to Speech-to-Text Conversion by Elimination of Paralinguistic Content

For the past few decades, man has been trying to create an intelligent computer which can talk and respond like he can. The task of creating a system that can talk like a human being is the primary objective of Automatic Speech Recognition. Various Speech Recognition techniques have been developed in theory and have been applied in practice. This paper discusses the problems that have been encountered in developing Speech Recognition, the techniques that have been applied to automate the task, and a representation of the core problems of present day Speech Recognition by using Fuzzy Mathematics.Comment: 6 pages, 3 figures, 1 table. arXiv admin note: text overlap with arXiv:1001.2267 by other author