正割模數 的英文怎麼說
中文拼音 [zhēnggēmóshǔ]
正割模數
英文
secant modulus-
The subject inducts digital time division technology ( pwm ), which is more advantageous at the accuracy and the predigest of hardware than simulant multiplication. what they call measuring power energy reasonably is that measuting except harmonics power energy fed back power. yet it realizes reasonable measurement of power energy which measures by base wave ac parameters method base on digital time division
本課題引入了數字時分割（ pwm ）脈寬調制技術，在測量的準確性、硬體電路的簡化等方面都比模擬乘法器具有較高的優越性。所謂合理的計量電能，就是不計非線性負載回饋給電網的負的諧波電能，而採用基於數字時分割的基波交流參數測量的方法，真正實現了電能的合理計量。So this part is dealt with separately. dcpm method is employed to improve the quality of image coding with making full of the relativity of the wavelet coefficients. according to the different importance degree and vision character of the high frequency wavelet coefficients, different thresholds are applied to remove small coefficients ; then mannos module are applied to remove the visual redundancy ; in order to produce more zero - tree, horizontal and vertical wavelet coefficients are transformed accordingly to improve the compression ratio
對于小波變換后的小波系數的高頻部分，根據其分佈特性和人眼的視覺特性，採用視覺模型對零樹量化過程的閾值進行修正，有效地去除視覺冗餘；對各高頻子圖採用多級樹集合分割的零樹編碼方法，有效地利用系數編碼剩餘符號，進一步提高壓縮比。Modeling in current 3d cad softwares such as catia, pro / engineer are mainly based on sketch design. according to the idea of modeling and on the basis of segmenting 3d measured data with feature design intention, this thesis studies the reconstruction methods of model sketch - based feature such as extruded and rotational features in structural part models
當前主流的3dcad軟體如catia 、 pro engineer等在實體建模時主要是基於草圖設計的。本文在特徵數據分割的基礎上，結合正向設計的思路，著重研究結構件中的拉伸、旋轉等基於草圖的特徵模型重建問題。The main contributions of this dissertation are listed as the followings : l ) deducing and proving the " three in one " theory of natural monopoly, that is, from the angles of economies of scale, economies of scope and economies of network, giving an explanation of natural monopoly ; 2 ) putting forward the concept of " strict superadditivity " and proving that total value function and total revenue function of network economy have strict superadditivity ; 3 ) summarizing the emerging characteristics in the market definition of natural monopoly, that is, in the monopoly industry, " market " tends to be more and more smaller than " industry " ; 4 ) expounding that the objective patterns of regulatory reforms of the railway industry in china are explicit regulation with partly characteristics of implicit regulation ; 5 ) proving the idea that the structural reforms of the railway industry in china should be hierarchical ; 6 ) demonstrating the theoretical bases for whether infrastructure management should be separated from transpo rt operation ; 7 ) expounding and proving that the interior of the railway industry in china should implement the differential property rights reform pattern
本文的研究特點在於： （ 1 ）在規模經濟、范圍經濟的基礎上進一步推導並證明了網路經濟與自然壟斷的關系，即自然壟斷可以從規模經濟、范圍經濟、網路經濟三個角度來解釋論述； （ 2 ）明確提出了一個與鮑莫爾、潘澤與威利格等人提出的「成本劣加性」相類似的概念? ?價值優加性，並證明了網路經濟的總價值函數和總收益函數具有嚴格優加性； （ 3 ）概括了自然壟斷市場界定中所出現的新特徵，即在壟斷產業中， 「市場」正越來越小於「產業」 ； （ 4 ）進一步論證了中國鐵路產業規制創新的目標模式是兼有部分內生規制特點的外生規制； （ 5 ）在中國鐵路產業的結構改革中應體現分層次的思想； （ 6 ）明確論述了內容提要鐵路路網公司等自然壟斷環節是否分割的理論基礎; （ 7 ）提出並進一步證明了中國鐵路產業內部應實行差異化的產權改革模式。A novel method of content - based image segmentation using deformable template matching is proposed. a two - dimensional ( 2 - d ) deformable template based on orthogonal curves is built by pre - computing extensions of the deformable template along orthogonal curves and sampling the curves uniformly. then the definitions of internal and external energy functions are given according to the image segmentation problem, and genetic algorithm is used to obtain globally optimal solutions. the proposed method uses a lower - dimensional search space than conventional methods and reduces the sensitivity of the algorithm to initial placement of the template. experiments on real - world images and in simulations at low signal - to - noise ratio show the robustness and good performance of the method
本文提出一種採用可變形模板匹配技術進行基於內容的圖像分割演算法.通過預先計算出可變形模板沿著變形的正交曲線，並對模板曲線及正交曲線進行離散抽樣，建立一基於正交曲線的二維（ 2 - d ）可變形模板，針對圖像分割問題定義控制可變形模板進行變形的內、外部能量函數，本文採用遺傳演算法搜索能量函數最小的全局最優解.該新演算法比傳統的可變形模板匹配方法降低了搜索空間的維數，減少了演算法對模板初始位置的敏感.對實際圖像及模擬低信噪比圖像處理的結果表明，新演算法具有良好的分割精度及穩定性The important research is about the theory and methods of the cluster analysis in view of statistical theory, the theory and methods of fuzzy cluster analysis, the fkn " s structure and the fkn ' s study algorithm ( fkn, fuzzy kohonen network ) - the organic fusion of the fuzzy c - means algorithm and self - organized feature map neural network. the paper proposes the ifkn ( improved fkn ) on the basis of the hard classification idea and the soft classification idea, then carries on the cluster analysis of the artificial synthetic control chart time series through matlab program and tt ? cluster result matches the cluster result of the famous dataengine " s software of the intellectual data analysis and data mining from german mit company. finally, the paper discusses the applying of the cluster analysis to the control process, which can be widely applied to the pattern recognition of the parameter " s changing trend during the control process and the image partition processing, and utilizes the ifkn to recognize the thermotechnical parameter " s changing trend based on the engineering of clinker sintering rotary kiln automatic control system of guizhou " s aluminium factory, through which good effect is obtained
數據挖掘技術在商業領域中已廣泛使用，然而在工業過程式控制制中的應用卻極少，本文正是在這種背景下，對數據挖掘中的聚類分析方法及其在工業過程式控制制中的應用研究作了償試，重點研究了基於統計理論的聚類分析理論和方法，模糊聚類分析理論和方法及模糊kohonen網路（ fkn ）的結構與學習演算法，即模糊c ? ?均值演算法與自組織特徵映射神經網路（ kohonen網路）的有機融合，並根據硬分類思想及軟分類思想提出了改進的模糊kohonen網路（ ifkn ） ，通過matlab編程對人工合成控制時序圖數據集進行聚類分析，其聚類效果與當今廣泛使用的數掘挖掘軟體平臺，德國mit公司著名的dataengine智能數據分析和數掘挖掘軟體的聚類效果相當，最後，論述了聚類分析在控制中的應用，它可以用於過程式控制制中的參數變化趨勢的模式識別及圖象分割處理等具體應用中，並以貴州鋁廠熟料燒結回轉窯自動控制系統為工程背景，利用ifkn識別其熱工參量變化趨勢，取得了較理想的效果。On the basis of the description of time and its relationship in cadastral information system, this paper brings forward a way of ground state modification according to the changing frequency to deal with historical data, and expounds the spatial - temporal data model based on event semantics
摘要在描述地籍管理中時間及其關系的基礎上，提出了地籍信息依據變更頻度對歷史數據進行分割存貯的分類基態修正法，並在對時態信息處理分析的基礎上闡述了基於事件的時空數據模型。This thesis is focus on arbitrary background image which maybe contain human face, and build a research system combines the skin color segmentation, face template matching and filter candidate region by facial characteristic, some experiment have done based on the system and get a serials statistic data
本文針對復雜背景下的彩色正面人臉圖像，將膚色分割、模板匹配與候選人臉圖像塊篩選結合起來，構建了人臉檢測實驗系統，並用自製的人臉圖像數據庫在該系統下進行了一系列的實驗統計。Based on fuzzy clustering algorithm, we studied the objective function of the traditional fuzzy c - means algorithm and proposed a modified objective function for fcm ; we discussed clustering validity problem, and a texture segmentation method based on adaptive fcm has been constructed by the guidance of fuzzy clustering validity
在介紹聚類演算法的基礎上，研究了模糊c -均值聚類演算法目標函數的改進問題，提出了基於修正目標函數的fcm演算法；討論了聚類有效性問題，在模糊聚類有效性函數指導下構造了一種自適應模糊c -均值聚類演算法的紋理分割方法。分享友人