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Analysis of control, learn, and knowledge model for computer power management using unified modelling language

This paper analyzes the human inactivity in the computer system and finds that; the reduction of the efficiency for the computer system power consumption can be ideal by the eligibility of the human inactivity period.This study reviews the self adaptation and control loop concept, and models a frame...

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Main Authors: Candrawati, Ria, Hashim, Nor Laily
Format: Article
Published: American Scientific Publishers 2016
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://repo.uum.edu.my/21723/
http://doi.org/10.1166/asl.2016.6759
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spelling my.uum.repo.217232017-04-19T07:57:22Z http://repo.uum.edu.my/21723/ Analysis of control, learn, and knowledge model for computer power management using unified modelling language Candrawati, Ria Hashim, Nor Laily QA75 Electronic computers. Computer science This paper analyzes the human inactivity in the computer system and finds that; the reduction of the efficiency for the computer system power consumption can be ideal by the eligibility of the human inactivity period.This study reviews the self adaptation and control loop concept, and models a framework of a new method.The essential elements and features from these concepts were adapted and applied as an approach to a new implementation of Control, Learn, Knowledge Model.This study establishes a model of the theoretical framework and demonstrates it through a conceptual framework for the CLK.As a result, this study continues with proposing the analysis of CLK using UML model. American Scientific Publishers 2016 Article PeerReviewed Candrawati, Ria and Hashim, Nor Laily (2016) Analysis of control, learn, and knowledge model for computer power management using unified modelling language. Advanced Science Letters, 22 (5). pp. 1327-1330. ISSN 1936-6612 http://doi.org/10.1166/asl.2016.6759 doi:10.1166/asl.2016.6759
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Candrawati, Ria
Hashim, Nor Laily
Analysis of control, learn, and knowledge model for computer power management using unified modelling language
description This paper analyzes the human inactivity in the computer system and finds that; the reduction of the efficiency for the computer system power consumption can be ideal by the eligibility of the human inactivity period.This study reviews the self adaptation and control loop concept, and models a framework of a new method.The essential elements and features from these concepts were adapted and applied as an approach to a new implementation of Control, Learn, Knowledge Model.This study establishes a model of the theoretical framework and demonstrates it through a conceptual framework for the CLK.As a result, this study continues with proposing the analysis of CLK using UML model.
format Article
author Candrawati, Ria
Hashim, Nor Laily
author_facet Candrawati, Ria
Hashim, Nor Laily
author_sort Candrawati, Ria
title Analysis of control, learn, and knowledge model for computer power management using unified modelling language
title_short Analysis of control, learn, and knowledge model for computer power management using unified modelling language
title_full Analysis of control, learn, and knowledge model for computer power management using unified modelling language
title_fullStr Analysis of control, learn, and knowledge model for computer power management using unified modelling language
title_full_unstemmed Analysis of control, learn, and knowledge model for computer power management using unified modelling language
title_sort analysis of control, learn, and knowledge model for computer power management using unified modelling language
publisher American Scientific Publishers
publishDate 2016
url http://repo.uum.edu.my/21723/
http://doi.org/10.1166/asl.2016.6759
_version_ 1644283317972893696
score 13.211869

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