教師資料查詢 | 類別: 會議論文 | 教師: 歐陽寬KUAN OU YANG (瀏覽個人網頁)

標題:Benefit-risk Analysis of Big Data Management in Medium-altitude Earth Orbit Search and Rescue System (MEOSAR)
學年109
學期1
發表日期2020/11/26
作品名稱Benefit-risk Analysis of Big Data Management in Medium-altitude Earth Orbit Search and Rescue System (MEOSAR)
作品名稱(其他語言)
著者Hsin-Hung Cheng; Kwan Ouyang; Shi-Min Lee
作品所屬單位
出版者
會議名稱2020 International Symposium on Novel and Sustainable Technology
會議地點Tainan, Taiwan
摘要Several researchers have suggested that established marine big database in marine safety
and strategy would likely affect their decision of ultimate success in maritime safety [1-4].
However, research which empirically documented the link between marine big database
toward changes in the Medium-altitude Earth Orbit Search and Rescue System (MEOSAR) [5]
and their use of strategies is few. Therefore, the purpose of this study attempts to figure out
how marine big database' establish about the relationship between the changes of
developments in MEOSAR and their use of maritime safety strategies. This is preliminary
research about relationship of marine big database and MEOSAR, comprised of several sets
of criteria concerning marine safety [6], marine accidents [7], marine management, and so on.
The analysis of the methods was conducted through improves developments in the marine
accident data collection and maritime investigation report in order to indicate the direction of
development marine big database. Preliminary results of this study show that a consistence
between of the changes of developments in marine accident data collection and maritime
investigation report. Conclusion, the research may be understanding the relationship between
marine accident data and MEOSAR of strategy use, furthermore providing decision maker
with a better understanding of how the development marine big database work and MEOSAR
strategy use.
關鍵字MEOSAR;Big data;Marine safety
語言英文
收錄於
會議性質國際
校內研討會地點
研討會時間20201126~20201127
通訊作者
國別中華民國
公開徵稿
出版型式
出處
相關連結
SDGs
  • 優質教育,產業創新與基礎設施
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