{"created":"2020-03-08T08:52:25.334880+00:00","id":668,"links":{},"metadata":{"_buckets":{"deposit":"1d3a7e39-096c-4ef8-8227-540b86e7225f"},"_deposit":{"id":"668","owners":[],"pid":{"revision_id":0,"type":"recid","value":"668"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/668","sets":["1582963739756:1582967238313"]},"communities":["um"],"control_number":"668","item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Parallel OpenMP/C++ Programming for the Kalman Filter","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"The Kalman filter is a set of mathematical equations that provides an efficient computational (recursive) means to estimate the state of a process. Computational Kalman equations can be described with the process of serial C and parallel OpenMP/C program. Parallel implementation of Kalman filter has been suggested to improve the execution time. Single Program Multiple Data ( SPMD ) and Work Sharing methods of Open Multi-Processing (OpenMP) are applied to the computation of parallel Kalman filter. An evaluation of parallel algorithm on eight different shared-memory multi-core architectures has been performed. Shared memory implementation programs are compiled and executed on Windows Compute Cluster Server 2003 with Microsoft Visual Studio 2008."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value_mlt":[{"interim":"Kalman filter"}]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2020-05-05"}],"displaytype":"preview","filename":"Parallel OpenMPC++ Programming for the Kalman Filter.pdf","filesize":[{"value":"754 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/668/files/Parallel OpenMPC++ Programming for the Kalman Filter.pdf"},"version_id":"6dac5ec7-23c1-4c5d-aa96-fbd0d9ad9c29"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"3","subitem_journal_title":"Journal of the Myanmar Academy of arts and science","subitem_volume":"xii"}]},"item_1583103147082":{"attribute_name":"Conference papaers","attribute_value_mlt":[{}]},"item_1583103211336":{"attribute_name":"Books/reports/chapters","attribute_value_mlt":[{}]},"item_1583103233624":{"attribute_name":"Thesis/dissertations","attribute_value_mlt":[{"subitem_supervisor(s)":[]}]},"item_1583105942107":{"attribute_name":"Authors","attribute_value_mlt":[{"subitem_authors":[{"subitem_authors_fullname":"Myint Myint Thein"}]}]},"item_1583108359239":{"attribute_name":"Upload type","attribute_value_mlt":[{"interim":"Publication"}]},"item_1583108428133":{"attribute_name":"Publication type","attribute_value_mlt":[{"interim":"Journal article"}]},"item_1583159729339":{"attribute_name":"Publication date","attribute_value":"2014"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"https://umoar.mu.edu.mm/handle/123456789/324"},"item_title":"Parallel OpenMP/C++ Programming for the Kalman Filter","item_type_id":"21","owner":"1","path":["1582967238313"],"publish_date":"2020-03-05","publish_status":"0","recid":"668","relation_version_is_last":true,"title":["Parallel OpenMP/C++ Programming for the Kalman Filter"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2021-12-13T02:08:38.136530+00:00"}