{"_buckets": {"deposit": "34649655-8d6d-4e52-868e-c5ba19c67e83"}, "_deposit": {"id": "3834", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "3834"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/3834", "sets": ["1597824273898", "user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Sunlight Tracking System Using Neural Network", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "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."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value": []}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-07-31"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "54153.pdf", "filesize": [{"value": "475 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 475000.0, "url": {"url": "https://meral.edu.mm/record/3834/files/54153.pdf"}, "version_id": "a3959ee9-2a45-4c9d-9fa4-d032269e8bd1"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Fourth Local Conference on Parallel and Soft Computing", "subitem_pages": "", "subitem_volume": ""}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "", "subitem_c_date": "", "subitem_conference_title": "", "subitem_part": "", "subitem_place": "", "subitem_session": "", "subitem_website": ""}]}, "item_1583103211336": {"attribute_name": "Books/reports/chapters", "attribute_value_mlt": [{"subitem_book_title": "", "subitem_isbn": "", "subitem_pages": "", "subitem_place": "", "subitem_publisher": ""}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "", "subitem_supervisor(s)": [{"subitem_supervisor": ""}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Thida, May"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2009-12-30"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/1560"}, "item_title": "Sunlight Tracking System Using Neural Network", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000003834", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-31"}, "publish_date": "2019-07-31", "publish_status": "0", "recid": "3834", "relation": {}, "relation_version_is_last": true, "title": ["Sunlight Tracking System Using Neural Network"], "weko_shared_id": -1}