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    請使用永久網址來引用或連結此文件: http://ir.lib.ncut.edu.tw/handle/987654321/6036


    題名: Optimization Data Fusion Approaches for Intelligent House System
    作者: 宋文財
    貢獻者: 電機工程(學)系
    日期: 2013-06
    上傳時間: 2017-09-27
    摘要: The complexity of planning process exponentially increased during last decades matching together a wide range of instances deriving from the evolution of national and local regulations and laws, an heterogeneous methodological framework, the contribution of technologies and especially the affirmation of web and social communities as relevant dimensions for citizen’ participation. The general increase of data availability strongly forced planning process and today the planner has mainly the task to select, to organize and to share data in order to support decisions at different scales. The technological wide spread, open data, 2.0 approach and social-network interactions generates data continuously. We can affirm that data are everywhere, but how to get good information? It is the case of several open data services by P.A.s distributing numbers of file not fully exploitable by final users. The paper investigates some relevant examples from the Italian case in order to demonstrate the benefits of data territorialisation and the opportunity to use some specific tools developed within an open source framework: Geo Platform by GeoSDI. In particular we refer to the geocoding process translating a physical property address such as for a house, business or landmark into spatial coordinates. Geocoding intelligence implies the overcoming of semantics barriers in data code and the ‘ex-ante’ definition of the specific purpose of spatial application in order to accept variables accuracy levels in the final output. Conclusions regard potential application and methodological recommendation for data coding optimization.
    關聯: Applied Mathematics & Information Sciences
    顯示於類別:[電機工程系(所)] 【電機工程系所】期刊論文

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