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An Intelligent Interface for Problem Detection and Troubleshooting for Industry Based Software

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Author: MAH RUKH

Citable URI : https://vspace.vu.edu.pk/detail.aspx?id=42

Publisher : Virtual University of Pakistan

Date Issued: 10/5/2012 12:00:00 AM

Abstract

Making software as a project that helps users in different industries is a very complex task. As every industry has a specific need even in a same industry employers have different needs to complete their business processes. To solve real world problems, software engineers have to use more than one technique, as these problems can not solved completely and effectively with a single technique. Moreover, every programming language has its own strengths and weaknesses and not a single language is effective to deal with different scenarios. Same is with the algorithms. Therefore, there is always a high need to develop an effective and less time taking algorithm to solve a specific type of problem. Many software engineers used many algorithms to solve transformer design optimization problem. Some of these algorithms were very complex that to understand and further carry on their work weather on these algorithms or on software made by using those algorithm is a very complex task. Very high skilled software engineers are needed to deal with these complex algorithms. In this research work, Pattern Search Algorithm with some extra utilities to solve transformer design optimization problem is proposed. As this algorithm cover all possible solutions to find optimal answer. In addition, there is a facility to add market base (real world) measurements of material’s variables as well as prices. This algorithm also keeps record of previous calculations generated for other KVA transformers. The purpose of keeping previous calculations is to reduce time if same KVA transformer is needed with slightly different input variables. Main reason of using Pattern search algorithm instead of any other guessing or forecasting base algorithm is that, it covers all possible iterations that leads to a global minimum values of material variables and calculates minimum cost. Pattern Search algorithm presented in this thesis is best for five fixed variables these are number of turns, low voltage thickness, low voltage width, high voltage thickness and high voltage width.


URI : https://vspace.vu.edu.pk/details.aspx?id=42

Citation: Mahrukh (2012). An Intelligent Interface for Problem Detection and Troubleshooting for Industry Based Software. Virtual University of Pakistan, (Lahore, Pakistan).

Version : Final Version

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