{"_buckets": {"deposit": "e51ca979-b9e0-4824-b97a-97d2356e3885"}, "_deposit": {"id": "4819", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4819"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4819", "sets": ["1597824273898", "user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Applying GPS_enable mobile phone_based traffic monitoring system in Mobile Cloud Infrastructure", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Nowadays, monitoring road and traffic predictionin urban area is becoming an important role indeveloping countries like ours. It is the mostimportant part that getting and performing theaccurate traffic data in all Traffic Prediction System.This paper introduces an approach of tracking trafficdata using the cheapest way and it was computed thetraffic data in terms of communication, computationand energy efficient ways. Mobile devices arebecoming an important role not only for personalcontact, but also for business and environmentalsensing application. The GPS sensor of mobile devicewill be mainly utilized to guess a user’s transportationmode, then it integrates cloud environment to enhancethe limitation of mobile device, such as storage,energy and computing power. This system includesthree main components: Client Interface, Serverprocess and Cloud Storage. Some tasks are carriedout on the Client. Therefore, it greatly reduces thebottleneck situation on Server side in efficient way.Most of tasks are executed on the Server and historydata are stored on the Cloud Storage. Firstly, theuser’s transportation mode, motorize or nonmotorized,is analyzed on the client side using rawGPS data, instead of submitting frequently raw datato data center. If it is only the motorize mode, someuseful traffic data are offloaded to cloud. On theserver side, all motorize mode are not taken intoaccount as traffic data. In this case, the mobile datathat comes from the same location are recognized asone proves. Later, these data are used as history datafor future prediction to perform more accurate traffic information."}]}, "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": "2019-07-02"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "12014.pdf", "filesize": [{"value": "807 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 807000.0, "url": {"url": "https://meral.edu.mm/record/4819/files/12014.pdf"}, "version_id": "28953db6-f279-4f85-b3dd-0e727eeb4b71"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Twelfth International Conference On Computer Applications (ICCA 2014)", "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": "Aung, Swe Swe"}, {"subitem_authors_fullname": "Naing, Thinn Thu"}]}]}, "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": "2014-02-17"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/72"}, "item_title": "Applying GPS_enable mobile phone_based traffic monitoring system in Mobile Cloud Infrastructure", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004819", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-02"}, "publish_date": "2019-07-02", "publish_status": "0", "recid": "4819", "relation": {}, "relation_version_is_last": true, "title": ["Applying GPS_enable mobile phone_based traffic monitoring system in Mobile Cloud Infrastructure"], "weko_shared_id": -1}