{"_buckets": {"deposit": "ce7cda33-af76-48b9-b938-9514c0f8bba0"}, "_deposit": {"created_by": 45, "id": "2920", "owner": "45", "owners": [45], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "recid", "value": "2920"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/2920", "sets": ["1596102355557", "user-uit"]}, "communities": ["uit"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Tsunami Prediction and Estimation System using Markov Chain", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Determining the likelihood of a disaster is a key component of any comprehensive hazard assessment. Tsunami is a natural disaster, which is usually caused by a severely disturbance happening undersea or activity in the ocean or near the coast. It leads to a series of large waves with very long wavelength and period as well as is a result of a large-scale vertical displacement of the sea over a short duration in time. This paper presents a model that will predict whether tsunami can occur at the specific coordinate that executes based on 100 years tsunami history data. The main contribution of this paper is that the Markov chain approach is used for prediction model based on probabilities at a time interval depending upon the value of the number at the previous time. The method also uses specific action to predict and is aimed specially for calculating the tsunami potential."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Tsunami"}, {"interim": "Markov chain"}, {"interim": "Prediction, Probability"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2020-08-06"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Tsunami Prediction and Estimation System using Markov Chain Method.pdf", "filesize": [{"value": "100 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 100000.0, "url": {"url": "https://meral.edu.mm/record/2920/files/Tsunami Prediction and Estimation System using Markov Chain Method.pdf"}, "version_id": "ce368fb2-60f6-44db-b62f-894ad2cacf6d"}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "PSC", "subitem_c_date": "24 December, 2008", "subitem_conference_title": "Second Local Conference on Parallel and Soft Computing", "subitem_place": "University of Computer Studies, Yangon, Myanmar"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Myat Pwint Phyu"}, {"subitem_authors_fullname": "Thinn Thu Naing"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Conference paper"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2008-12-24"}, "item_title": "Tsunami Prediction and Estimation System using Markov Chain", "item_type_id": "21", "owner": "45", "path": ["1596102355557"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000002920", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-08-06"}, "publish_date": "2020-08-06", "publish_status": "0", "recid": "2920", "relation": {}, "relation_version_is_last": true, "title": ["Tsunami Prediction and Estimation System using Markov Chain"], "weko_shared_id": -1}