real partition 中文意思是什麼
real partition
解釋
實分區-
The vq - based approach assumes a gaussian mixture distribution, which fits real - world image data reasonably well. after estimating this distribution through em method, this approach trains optimized vector quantizers to partition data space
該方法使用更適合真實圖像庫的高斯混合模型描述數據分佈，並訓練優化的矢量量化器劃分數據空間。 -
In chapter 2, on the basis of reference to classical static priority scheduling theory for hard real - time systems, we proposed a delay computation method with partition algorithm
第二章在借鑒強實時系統靜態優先級調度理論的基礎上，提出一種通過引入分區演算法來計算atm交換延遲的方法。 -
After the transition, we get to see the benefits of lvm when cvs. gentoo. org s home partition is dynamically resized in real - time, without rebooting, unmounting home, or even dropping to runlevel 1
在轉換之後，當cvs . gentoo . org的/ home分區實時動態地進行大小調整，而無需重新引導、卸裝/ home ，甚至無需降低到運行級別1時，我們將會看到lvm的種種優點。 -
Firstly, we focus on the task analysis, module partition, design and implementation of sub - module, the simulation based on textio package, simulation, verification, and performance estimation for real - time multi - target capture module
論文首先對實時多目標捕獲模塊工作任務、模塊劃分、子模塊設計與實現進行了深入討論，並對設計進行了模擬驗證和性能分析，得出設計結論。 -
Detaildiscussion and partition of it is given according to the research contellts, methods, tfor spanand objective function etc. the method applied here, genetic algorithin ( ga ) for reactivepower planning problem and interior point method ( ipm ) for quasi real time voltage / reactivepower control are separate surnmarized fully and comprehensively hence, two aspects ofreactive power operating optimization, i. e. optimal reactive power compensation planning andquasi - real time voltage / reactive power control are studied in detail in this thesis withintelligent method, such as fully mathematic and expert system etc., integrated
本文從無功優化問題的研究內容、研究方法、時間跨度和目標函數等方面進行了詳細的探討和劃分。在對本文採用的無功規劃優化的研究方法?遺傳演算法和無功/電壓控制的研究方法?原-對偶內點法進行綜述的基礎上，提出根據電力系統的特點、結合模糊數學和專家系統等智能方法對無功運行優化中的規劃優化和無功/電壓控制兩類問題進行理論和應用研究。 -
However, the data structure used by this method is very large for its dependence on the physical partition of terrain, computation needed for generating the tmrm is also depends on the physical partition of terrain and at the same time, the tmrm can not be generating incrementally by this method. to resolve these problems, we put forward a new method which can realize the real - time rendering of large scale terrain with high performance by working through streaming
採用邏輯調入粒度對數據進行流式處理，使得模型生成的計算量也比較穩定，不再依賴于地形的物理分割粒度；該方法採用的多解析度模型還適合於并行處理模式，在具有多處理器的并行處理環境中，可將各數據塊分配給不同的處理器，這也是lindstrom的處理方法不具有的特點。
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