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SUBVERSION(R): EMPIRICAL DESIGN METHODOLOGY FROM THE PERSPECTIVE OF INTEGRATED CIRCUIT DESIGN

Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN ELECTRONICS AND ELECTRICAL ENGINEERING
Author(s): ACHIM GRAUPNER , HOLGER SCHMIDT , RADOSLAV PRAHOV

Abstract: An aspect of primary significance in integrated circuit (IC) design is configuration management of design data, i.e., the task of keeping a project comprising a multiplicity of revisions well organized. Apache’s Subversion(r) is a software tool that can facilitate this task. It manages revisions of documentation, source code, and a wide variety of files, and it automates storing and retrieving revisions. Unfortunately, Subversion(r) provides insufficient support for IC projects consisting of large numbers of managed items. We address this problem by introducing, discussing, and demonstrating several approaches that improve the performance of Subversion(r) when handling a vast amount of files and directories. Our approaches are division of the working copy into smaller pieces with a decent granularity, conversion of the working copy into a single tarball file, and implementation of a referred central working copy. Each method is incorporated into the configuration management flow throug

  • Publication Date: 07-Apr-2013
  • DOI: 10.15224/978-981-07-5939-1-11
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SERVICE RESTORATION USING GENETIC ALGORITHM AND EXPERT SYSTEM

Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN ELECTRONICS AND ELECTRICAL ENGINEERING
Author(s): ARTHIT SRIKAEW , NATTAPHAN TEERAWATWITTAYA

Abstract: This paper develops a hybrid system for solving a service restoration problem in a distribution system using genetic algorithm (GA) and expert systems (ES). The main of objective in problem of finding the optimal state of a sectionalizing switch on faults occurred is to restore as many loads as possible by transferring de-energized loads via network reconfigurations to other supporting distribution feeder without violating operating and engineering constraints. The Expert System to collect data from users. For analysis and the variables that are associated with the processing. And Genetic algorithm will process the results from an expert system modules. The feasibility of the developed algorithm for service restoration is demonstrated on distribution network with promising result.

  • Publication Date: 07-Apr-2013
  • DOI: 10.15224/978-981-07-5939-1-13
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