{"_buckets": {"deposit": "8f1b5187-54c7-4bbe-866b-6ddc49b6be52"}, "_deposit": {"id": "3835", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "3835"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/3835", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Traffic Light Control System Using Fuzzy Logic", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "This paper proposes a fuzzy logic control system that can produce almost continuous output values suitable for interactive and real-time processing. This system utilizes the fuzzy logic to control the traffic light. There are one main road and one side street at a certain traffic junction. This paper aims to develop a computer simulated fuzzy controller system that would automatically generate the durations of the green light to be lit for both ways as fuzzy output giving the main road higher priority. The numbers of arrival cars from each two ways become inputs for the fuzzy logic control system; those are the fuzzy values, of the corresponding fuzzy sets in the input membership functions. Depending on the constructed rule base together with fuzzy associative memories (FAM tables), the fuzzy output for the durations of traffic light is obtained. The weighted average defuzzification method is used in the defuzzification of the system"}]}, "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": "54154.pdf", "filesize": [{"value": "392 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 392000.0, "url": {"url": "https://meral.edu.mm/record/3835/files/54154.pdf"}, "version_id": "c371347b-fd9e-40af-a376-804353a391ea"}]}, "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": "Nyein, Ei Mon Mon"}, {"subitem_authors_fullname": "Aye, Hnin Hnin"}]}]}, "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/123456789/1561"}, "item_title": "Traffic Light Control System Using Fuzzy Logic", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000003835", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-31"}, "publish_date": "2019-07-31", "publish_status": "0", "recid": "3835", "relation": {}, "relation_version_is_last": true, "title": ["Traffic Light Control System Using Fuzzy Logic"], "weko_shared_id": -1}