Cloud Computing on Estimating Local Topography System of Near-Shore Area in Taiwan

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基本資料

Project title

Code/計畫編號

NSC101-2221-E019-019

Translated Name/計畫中文名

雲端運算於台灣區域性近岸地形推估系統之研究

Project Coordinator/計畫主持人

Sung-Shan Hsiao

Funding Organization/主管機關

National Science and Technology Council

Department/Unit

Department of Harbor and River Engineering

Website

https://www.grb.gov.tw/search/planDetail?id=2581963

Year

2012

Start date/計畫起

01-08-2012

Expected Completion/計畫迄

01-07-2013

Bugetid/研究經費

1019千元

ResearchField/研究領域

土木水利工程
資訊科學--軟體

"基於海岸復育及海岸保護工作所仰賴的長期性空間地形資訊的補遺推求，全面性區域空間地形推估參數資料庫之建置及雲端化應用，係目前海岸工程實務應用所亟需的。因此，本計畫擬建構台灣區域性近岸地形推估雲端運算系統，將以申請人98年度國科會計畫「區域性海灘地形推估系統建置之研究」，以及目前執行中之100年度國科會計畫「台灣區域性近岸地形推估系統雲端應用之研究」為基礎，應用雲端運算技術於台灣近岸區域性變異圖模式資料庫及區域性海灘地形推估系統，更進一步架構各種近岸地形量測系統與雲端運算伺服器介面，建立資料交換機制，並完成開發克利金推估法雲端運算服務，由Google應用服務引擎(Google App Engine)及應用介面(Application Programming Interface, API)程式庫，形成多工處理的網路運算模式。再透過提供雲端服務逐步擴大充實台灣近岸區域性變異圖模式應用資料庫，將可作為日後檢討推估參數及推求區域平衡海灘斷面，提供未來海岸復育及海岸管理應用，並落實學術研究成果應用雲端化之目標。為完成開發區域性近岸地形推估雲端運算服務，本計畫預計需以二年為期，分年計畫說明如下：第一年進行克利金推估法雲端運算系統驗證的研究及修正，透過試誤法及最小平方法對推估結果的精度探討，以增加模式驗證的效率及精度，並將推估結果更新至區域性變異圖模式資料庫，同時將克利金演算法的研究成果以雲端運算API程式庫的方式發表。第二年目標係為開發使用者終端介面程式，將整合各類的資料來源，透過此介面與雲端平台的克利金推估法進行資料交換，並將推估計算工作直接由雲端運算服務來處理，以形成多工處理的網路運算模式，藉由網路共享方式逐步充實台灣近岸區域性變異圖模式應用資料庫，建立一個免費的研究成果分享平台─「台灣區域性近岸地形推估雲端運算系統」。" "This proposal is to develop a cloud computing system to determine estimated parameters of local near-shore topography in Taiwan. A Krige estimation algorithm will be adopted with those parameters produced from practical measurable data. Since some parameters by way of local measurable data can be stored in this cloud computing system, any other data sent into this system can be further combined with those available data to modify those incomplete parameters of the target area. By way of these complete parameters, the topography of near-shore can thus be well constructed to equilibrium beach profiles. Coastal environment protections and coastal managements can further be reached well via this developed cloud computing system. Since this project is so complicated that a two-year implementation is necessary as: For the first year, the Krige estimation method will be adopted to estimate parameters, which will be compared with those of practical measured data to validate the estimated parameters. Then, a set of varigram model database of the validated parameters can be constructed for the users who are in need. As for the second year, different data receiving from remote vehicles, drifted buoys, and echo sounders, etc., can be integrated and sent up to this developed cloud computing system, in which GNU plot, Geo-view, and Google App Engine can be combined to show 2D-DEM, contour, 3D-model for an integrated models system."

Keyword(s)

雲端運算
變異圖模式
克利金推估法
Google 應用服務引擎

DSpace CRIS

Cloud Computing on Estimating Local Topography System of Near-Shore Area in Taiwan

基本資料

Description