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Sunlight Tracking System Using Neural Network

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dc.contributor.author Thida, May
dc.date.accessioned 2019-07-31T16:38:41Z
dc.date.available 2019-07-31T16:38:41Z
dc.date.issued 2009-12-30
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1560
dc.description.abstract Computer-controlled systems are of great interest in today’s world. These systems have spread into many areas of applications, such as environmental protections, military affairs and factory controls. Computer-controlled systems are compact and efficient to operate reducing the human effort. This paper tries to develop a computerized system that will automatically keep track of the sunlight. This system comprises Light Dependent Resistors (LDRs) that are fitted at both ends of the solar plate for sensing the light. Light sensing circuits of the system produce an analog voltage level and the analog voltage level is converted into digital level using the Analog to Digital Converter (ADC). These digital values are applied into the computer system and by means of Artificial Neural Network (ANN), it determines the width of the pulse to rotate the DC motor in order to be the solar plate face to face with the sunlight. en_US
dc.language.iso en en_US
dc.publisher Fourth Local Conference on Parallel and Soft Computing en_US
dc.title Sunlight Tracking System Using Neural Network en_US
dc.type Article en_US


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