{"created":"2020-09-01T14:10:10.247840+00:00","id":4125,"links":{},"metadata":{"_buckets":{"deposit":"ba378d8b-a533-4ea2-b58f-3366062aef26"},"_deposit":{"id":"4125","owners":[],"pid":{"revision_id":0,"type":"recid","value":"4125"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/4125","sets":["1582963302567:1597824273898"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"An Efficient Computer-Aided Enrollment and Controlling System by Using Sorted Neighborhood Method","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"The most important field, enrollment and controlling the students’ data is very essential for all universities. Nowadays, computers are being used in the field of information in different way. When it is linked from one data source to another, the most common problems arise the difference of data format, difficulty in merging the up-to-date data and in eliminating duplicate data. Tracking students who move from university to university within districts or across the state/division is a major problem in all universities. This system is intended to implement the Upper Myanmar Computer Universities enrollment and controlling students’ data in effective way by using sorted neighborhood method (SNM). The effectiveness of using SNM is to track critical data of students, such as enrollment, achievement scores and other factors throughout their university life. The advantages of create key in SNM eliminate duplicate records and compresses of all universities databases in efficient way."}]},"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":"2019-08-06"}],"displaytype":"preview","filename":"55251.pdf","filesize":[{"value":"365 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/4125/files/55251.pdf"},"version_id":"80cb8b52-10c7-42e4-abfb-d8c6d3a2d3d6"}]},"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":"Mon, Aye Chan"},{"subitem_authors_fullname":"Khaing, Myint Myint"}]}]},"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/123456789/1826"},"item_title":"An Efficient Computer-Aided Enrollment and Controlling System by Using Sorted Neighborhood Method","item_type_id":"21","owner":"1","path":["1597824273898"],"publish_date":"2019-08-06","publish_status":"0","recid":"4125","relation_version_is_last":true,"title":["An Efficient Computer-Aided Enrollment and Controlling System by Using Sorted Neighborhood Method"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2021-12-13T03:26:18.018183+00:00"}