{"_buckets": {"deposit": "b7348ed5-35e9-4f7d-837f-d5c96aa19fd2"}, "_deposit": {"id": "3952", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "3952"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/3952", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Descending and Landing Control System for a Helicopter by using Fuzzy Logic Theory", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "The implementation of a helicopter descending andlanding control system is presented. Descending and landing isto maintain the glide slope and heading and to reduce graduallyairspeed and height from a point of altitude (above ground) tothe ground point (Landing Field). Landing is the reverse oftakeoff and must be decelerated instead of accelerated. Indescending and landing, this system is based on an artificialintelligence and can be aware of the control strategy of pilots inthe final descend and landing approach of a helicopter. Thesystem used fuzzy logic theory for safety landing and avoid thedamage. Simulation proved the feasibility of the targetedapproach."}]}, "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": "2019-08-02"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Descending and Landing Control System for a Helicopter by using Fuzzy Logic Theory.pdf", "filesize": [{"value": "11 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 11000.0, "url": {"url": "https://meral.edu.mm/record/3952/files/Descending and Landing Control System for a Helicopter by using Fuzzy Logic Theory.pdf"}, "version_id": "75c4a05b-dca2-4c2a-8b4a-a84d599ec676"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Third 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": "Zaw, Myo Min"}, {"subitem_authors_fullname": "Nwe, Nwe"}]}]}, "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": "2009-08-03"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/1669"}, "item_title": "Descending and Landing Control System for a Helicopter by using Fuzzy Logic Theory", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000003952", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-08-02"}, "publish_date": "2019-08-02", "publish_status": "0", "recid": "3952", "relation": {}, "relation_version_is_last": true, "title": ["Descending and Landing Control System for a Helicopter by using Fuzzy Logic Theory"], "weko_shared_id": -1}