interdependent data 中文意思是什麼

interdependent data 解釋
相依數據
  • interdependent : adj. 互相依賴的,互相依存的。adv. -ly
  • data : n 1 資料,材料〈此詞系 datum 的復數。但 datum 罕用,一般即以 data 作為集合詞,在口語中往往用單數...
  1. Based on that, according to the power of corporations in the chain, the way in which the telecommunication operations and the sps cooperate, and the interdependent degree between them, the industry chain of the data service is divided into four types : the telecommunication operations dominates, the sps dominates, the third party dominates, and the type which profit distribution by the scale of the investment

    在此基礎之上,本文通過對電信增值業務產業鏈不同發展階段中鏈上企業的力量對比、電信運營商與sp商的合作形式及相互依賴程度,將電信增值業務產業鏈模式分為四類:運營商主導的產業鏈模式、 sp商主導的產業鏈模式、第三方主導的產業鏈模式及按投資比例分成的產業鏈模式。
  2. In practice, however, the human - subjective and fuzzy information frequently represented in decision data, and most criteria have interdependent or interactive characteristic so weapon system cannot be evaluated by conventional evaluation methods

    然而,實際上武器系統指標的評價具有人為主觀性和模糊性,並且各指標之間通常存在著依存關系。
  3. However, the second technology has the following disadvantages : first, data paging and tmrm generating are integrated into one modulate, next, data structures they used are very complicated and large, in addition, the work of data preprocessing is very heavy and frequently data paging need the server with high performance, at last this paging method is very difficult for implementation. as for the first technology, an important advantage of it is that the data paging and tmrm generating are not interdependent, so it will be more e asily applied in practice than the second one. as an implementation of the first technology, lindstrom introduced a method which uses quadtree and triangle binary tree to organize terrain data and adopt multithread mechanism to realize the data process

    而第一種流式處理技術盡管一次調入的數據量稍大,但其數據調度與多解析度模型的生成在功能上是相互獨立的,如果處理得當更容易在實際工程中得到成功的應用,對於它的實現, lindstrom提出了利用四叉樹及三角形二叉樹進行地形數據組織並利用多線程機制進行數據調度與簡化的流式處理方法,但該方法的缺點是:其數據結構依賴于地形的物理分割,因此數據結構龐大;多解析度模型生成的計算量也依賴於物理分割的粒度,即物理分割粒度較粗時,數據范圍增大,計算量會急劇增加;該方法不能實現模型的增量生成。
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