摘要
因為海水鹽度與海水溫度息息相關，而海水溫度又會造成氣候的變化，本研究提出了一套為了找尋相似海水鹽度資料而特別設計的查詢系統，此系統係被開發來提供資訊讓專業人員研究海水鹽度的變化，以便進一步探討全球氣候的異常現象。本文提出的查詢系統，可根據目前的海水鹽度的資料去找出最相關的歷年海水鹽度資料，並於畫面上顯示其結果。當使用者透過本系統所提供的使用者介面輸入欲查詢的資料後，本系統會將查詢資料進行區塊切割並從中擷取出特徵值，再計算與特徵資料庫內的特徵記錄之間的變化值，並據此將特徵記錄排序，以找尋最相似的結果。從實驗的結果可以看出，本系統不僅可以獲得相當高的有效搜尋率，同時相較於他法亦可節省相當多的時間。
並列摘要
The sea salinity is closely related to the sea temperature, which consequently causes the variations of the weather. This study presents a query system specifically designed for searching similar sea salinity data. The presented query system has been developed to provide information for experts to study the changes in the sea salinity so they can further explore the weather anomalies. The query system, when given the current sea salinity data, is able to discover the most related sea salinity data in the past years and then display the results on the screen. The user enters the query data through the user interface provided by the system, which next divides the query data into several blocks and then extracts the features from the blocks. After that, the system calculates the differences between the extracted features and the recorded features in the feature database, and then sorts the feature records accordingly to find the most similar results. The experimental results showed the system not only can obtain high search effectiveness, but also can save plenty of search time when compared to some other method.
參考文獻
延伸閱讀
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