{"_buckets": {"deposit": "d878e38e-6d2b-4370-a1f2-2222676cac90"}, "_deposit": {"created_by": 61, "id": "3035", "owner": "61", "owners": [61], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "recid", "value": "3035"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/3035", "sets": ["1595850252716", "user-yuoe"]}, "communities": ["yuoe"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Direct Data Uploading to Microsoft Excel by Using Parallax Data Acquisition Software and Arduino", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Physical data such as temperature, humidity, heat\nindex, atmospheric pressure and altitude are\ndetected from the DHT11 sensor and BMP180 sensor\nby using microcontroller. These data are processed\nby microcontroller and these are displayed on the\nLCD display. Then, using Parallax data acquisition\n(PLX-DAQ) these data are uploaded to the Microsoft\n(MS) Excel spreadsheet directly from Arduino.\nParallax data acquisition (PLX-DAQ) is a simple\nadd-on for Microsoft Excel that make it to create log\nexcel sheets for laboratory purpose or other DAQ\npurposes. Using PLX_DAQ software, no need to list\nthe data in Excel but data is directly logged in the MS\nExcel spreadsheet and moreover, data can be plotted\nin live graph. In this research, Arduino\nmicrocontroller, LCD and DHT 11 temperature and\nhumidity sensor and BMP180 barometric sensor are\nused in hardware section while Parallax data\nacquisition (PLX-DAQ ), Arduino IDE and DHT11\nlibrary and BMP 180 library are contributed in\nsoftware section."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "MS Excel, data acquisition, PLX_DAQ"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2020-08-25"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Direct Data Uploading to Microsoft Excel by Using Parallax Data.pdf", "filesize": [{"value": "997 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 997000.0, "url": {"url": "https://meral.edu.mm/record/3035/files/Direct Data Uploading to Microsoft Excel by Using Parallax Data.pdf"}, "version_id": "c024ed34-e8d1-45cd-9d01-07bd691bc224"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_journal_title": "University Journal of ICT", "subitem_pages": "305-308", "subitem_volume": "Vol.1"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Ohnmar Soe"}, {"subitem_authors_fullname": "Myint Myint Win"}, {"subitem_authors_fullname": "Moe Moe Aye"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Journal article"}]}, "item_title": "Direct Data Uploading to Microsoft Excel by Using Parallax Data Acquisition Software and Arduino", "item_type_id": "21", "owner": "61", "path": ["1595850252716"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000003035", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-08-25"}, "publish_date": "2020-08-25", "publish_status": "0", "recid": "3035", "relation": {}, "relation_version_is_last": true, "title": ["Direct Data Uploading to Microsoft Excel by Using Parallax Data Acquisition Software and Arduino"], "weko_shared_id": -1}