速度向量圖 的英文怎麼說

中文拼音 [sùdùxiàngliángtú]
速度向量圖 英文
velocity diagram
  • 速 : Ⅰ形容詞（迅速; 快） fast; rapid; quick; speedy Ⅱ名詞1 （速度） speed; velocity 2 （姓氏） a surna...
  • 度 : 度動詞[書面語] （推測; 估計） surmise; estimate
  • 量 : 量動1. （度量） measure 2. （估量） estimate; size up
  • 圖 : Ⅰ名詞1 （繪畫表現出的形象; 圖畫） picture; chart; drawing; map 2 （計劃） plan; scheme; attempt 3...
  • 速度 : 1. [物理學] velocity; speed; blast; bat 2. [音樂] tempo3. （快慢的程度） speed; rate; pace; tempo
  1. Firstly the patterns of the multifingered hands are detailed, eight patterns are defined. the classical bayes method is used in the classification of pre - grasp of multiple fingers based on three patterns which are grasping, holding and pinching. based on the eight pre - grasp patterns, bp neural network is applied in the classification of the pre - grasp of multifingered hands and gets a good effect. the method solves the shortcoming input sample relying on the propobility density and simplified the un - insititution characters extraction. in this paper, support vector machine ( svm ) and binary - tree with clustering is applied in the classification. this method can solve the slow speed and effect with fewness sample in the classification, achieving a good effect. in this papper, we extract the characters of the regulation object with geometry characters and extact the unregulation object with the image analysis

    此法解決了輸入樣本依賴物體的概率密度的特點，簡化了分類特徵提取的不直觀性。本文還採用了支持向量機（ svm ）和聚類二叉樹相結合的方法對機器人手預抓取八類模式進行分類，解決了預抓取模式分類訓練速度過慢以及在分類中樣本數量偏少而影響分類效果的問題，得到了較高的正確率。本文對預抓取幾何形狀規則的物體採用直接提取其幾何特徵，對于預抓取幾何形狀不規則的物體採用圖像分析的方法進行特徵提取。
  2. Based on the wavevector diagram and group velocity, the property of light in photonic crystals can be analyzed quantitatively

    基於波向量圖和群速度，可以很好地分析光在光子晶體中的行為。
  3. Three kinds of results are obtained by simulation calculating the two models : the composed vector diagrams of the axial velocity ( v ) and the radial velocity ( vr ) at the different times in the symmetry section ; diagrams of curves of the velocity vector ( v ^ ) and ( vr ) at the different times in the different sections ; diagrams of the secondary flow vectors at the different times in the different sections

    我們對兩種不同直徑的s型血管進行了有限元模擬計算，得到三種結果：在對稱面內不同時刻的軸向速度v _和徑向速度v _ r的合成矢量；在不同截面不同時刻的速度分量v _和v _ r的曲線圖；在不同截面不同時刻的二次流的矢量圖。
  4. The compare is made between the one - versus - one, one - versus - rest and directed acyclic graph algorithm of presented support vector machine multi - class classification algorithms. the simulations show the advantage of directed acyclic graph algorithm over the others the identification rate

    分析比較了現有支持向量機多值分類演算法中的一對一、一對多和有向無環圖演算法，分析表明有向無環圖相對于其它兩種演算法，不僅速度快，而且識別率也較高。
  5. In the third chapter, the mathematical models of project system have been established, and simulation has been done on the simulink enviroment of matlab software kits. the simulation focus on the effects of main parameters on the dynamic characteristics of speed control system, and the main parameters include viscosity damp coefficient and friction torque of electrical motor shaft, internal leakage coefficient of pump / motor of hydraulic circuits, gas volume of pressure accumulator, viscosity damp coefficient of cylinder piston and different running building floors, etc. at last, theoretical research effects of the flow and pressure pulsation of pump / motor on car speed and oil volume leakage theory are discussed. the fourth chapter of this thesis concerns the research on the key items about hydraulic power control system according to the ens 1 - 2 and other hydraulic elevator standards

    論文第三章針對組成系統的各個模塊進行了機理建模，並且通過matlab軟體中的simulink圖形化模擬環境進行了本課題系統的模擬研究，主要針對影響系統特性的主要參數變化，動態分析系統的輸出特性，在上下行工況中，分析了電機軸系粘性阻尼系數、軸系摩擦力矩、主迴路蓄能器迴路液壓泵馬達內泄漏系數、蓄能器氣體容積、液壓缸柱塞粘性阻尼摩擦系數以及不同運行樓層工況等參數對系統特性的影響；最後對軸向柱塞泵馬達的流量壓力脈動對電梯轎廂速度的影響和蓄能器內油液體積損失機理進行了理論研究。
  6. Abstract : a tube reactor mixed by an axial continuous flow and four side jets as the dispersed flow is studied. the concentration distribution of the dispers ed flow was measured by means of the laser light scattering. the different flow patterns revealed the special construction of concentration distributions in relation with the velocity ratio of side flow and axial flow

    文摘:研究了圓管反應器中四束側向對撞射流與軸向流形成的混合流動.應用激光粒子散射成像測量了側向分散相在混合流中的濃度場分佈，得到了不同的濃度分布圖形隨側向流與軸向流速比關系，揭示了內在有規律的獨特的濃度分佈結構
  7. The main task of this paper concentrates on such parts as calibration of measurement sensor, high speed and accuracy image collection and processing, data fusion of different angle of view, visualization of measuring results. to accomplish sensor calibration, a pinhole model of the camera is employed and an equation of a light plane is setup. parameters such as the m array of the pinhole model and the normal vector of the light plane arc acquired through experiment. in image processing, we adopt the template - changing parallel thinning method to improve processing speed and accuracy

    主要研究了攝像機針孔模型的建立及測量傳感器的標定；圖像的快速高精度的採集和處理，在圖像處理中採用多幀平均演算法，很好地解決了速度和精度之間的矛盾制約；根據旋動理論建立空間坐標變換數學模型，進而建立其不同視角下的測量數據融合演算法，生成完整的物體三維數據集合；在vc平臺下編寫三維顯示軟體模塊，完成三維測量結果的可視化，實現了三維物體的任意角度的觀察、任意倍數的放大和縮小、任意方向平移及動畫效果。
  8. This dissertation thus aims at helping the development of computerized tongue diagnosis and researching on the methodology of color training and classification of tongue images. the main contributions of this dissertation include : designing the framework of pixel - based tongue color classification system ; proposing the 2 - stage fcm algorithm and solving the tongue color model construction problem in pixel - based tongue color classification system ; proposing the dynamically local knn algorithm for tongue substance and tongue coating color classification, and improving the system speed greatly ; proposing the 12 - dimension feature vector of color ratio and applying it to color classification of tongue image ; doing research on the automatic diagnosis of diseases and symptoms using color, texture and shape information

    本文的主要貢獻在於:設計了基於像素的舌顏色分類系統結構;提出了半監督學習方式的「二次fcm演算法」 ，解決了基於像素的舌顏色分類系統的舌色苔色分佈模型的建立問題;提出了「動態局部knn演算法」並將其應用於舌色苔色分類中，解決了舌色苔色分類的速度問題;提出了舌圖像的「 12維顏色比例特徵向量」 ，並應用其實現了對舌圖像的顏色分類;採用顏色、紋理和舌形的信息融合方式，對疾病和證候的自動診斷進行了研究。
  9. Secondllv in the 1 d random traffic flow model. the relation function between the correlation and the creation. disappearance. brake probabilities of the vehicles is presented. according to the statistical mechanical approach to the spatial correlation functions. the theoretical results agree with that of the computer simulation. thirdh. based on the bml model. a main - road traffic flow model with two speeds on two dimensions is designed. this model simulate the traffic situation of one main road and several branches in the cit traffic lights placed on the crossing. vehicles breaking ~ vhile running and turning to other direction while jamming. we investigate the ~ ' e1ocitv and flo ~ ~ of the model when the initial densitvthe brake and turning probabilities. the green to signal rati3. thc number of the branches and the period of the signal are changed. then the reasons causing all the kinds of phenomena are analvzed. finallv. we simulate the bml model using the method of lattice boltzmann which ~ vas brought out by liu mu - renand obtain the velocity - density graph similar to the previous result. the upper critical densiw above which there are oniv jamming configurations. and the lo ~ ver critical density below which there are only moving configurations are the same as before. the boltzmann function which is on the lattices shows the moving and jaxmning transition obviouslv. thus it proves the possibilit of this method on the traffic research

    接著，建立了和研究了二維二速的主幹道模型，該模型模擬了城市交通中一條主幹道，多條支道的交通情況，在幹道與支道的交叉路口設置紅綠燈，車輛在運行中可以有對突發事件發生反應的剎車，在發生堵塞時，路口的車輛可考慮通過轉向來緩解交通等各種實際情況的發生，給出了車輛演化的演化方程，並通過計算機模擬，研究模型在改變車輛的初始密度、剎車概率、轉向概率、支道數、紅綠燈信號的綠信比、紅綠燈信號周期等各種情況下支、主幹道車輛的速度、流量的變化，並分析在各種情況下交通狀況的成因，提出改善交通的有效措施。最後，在劉慕仁提出的用格子boltzmann方法研究一維決定論交通流的思路下，將此法推廣到對二維bml模型的模擬上，得到了與用以往方法的研究結果相類似的速度-密度圖線，且車輛從運動相到堵塞相轉變的上下臨界密度是一致的，同時分別給出車輛在處于暢通相和堵塞相時， boltzmann函數在格子上的分佈情況，進一步驗證了此法的可行性。
  10. It is expected that the standard will be used for a wide range of bit rate, not just low bit rate applications and that h. 263 will replace h. 261 in many applications. to realize the real time video compression, a high performance processor is necessary

    視頻數據壓縮運算量大，需要大量的存儲空間，要實現實時的視頻數據壓縮無疑需要一個高速處理器， tms320c6711dsk是ti推出的面向圖像處理的硬體平臺，其運算速度可達到900mflops （百萬指令位元組每秒） ，可用內存達16m位元組，是進行視頻壓縮的理想平臺。
  11. Based on the lorentz transformation on especial condition, making use of coordinate transformation and matrix theory, the matrix expression and vector expression of lorentz transformation about two inertial frames that relative speeds orientation is random and isnt follow axes of ordinate are educed. 2figs., 3refs

    從特殊情況下的洛侖茲變換出發，利用坐標變換和矩陣理論，導出了兩個慣性系的相對運動速度取向任意，且不沿任一坐標軸洛侖茲變換的矢量表達式和矩陣表達式.圖2 ，參5
  12. Wind : most meteorological stations are equipped with combined vane and cup generator anemometers with dial indicator and or chart recorder for wind speed and direction measurement

    風：大多數臺站都設置風向標及磁感風杯風速表來量度風向和風速，並附有刻度盤或圖表記錄器。
  13. In this thesis, the basic arithmetic of piv software - cross - correlation arithmetic is introduced in detail, during the data process, through processing the two sequential images by the cross - correlation arithmetic, the vector charts of particles velocity can be obtained, so is the chart of absolute velocity, with velocity decomposed into the radial velocity and axial velocity

    本文對試驗所獲得的連續圖像通過互相關演算法，獲得顆粒速度矢量圖，並將速度分解為徑向速度和軸向速度，對每一小區域內的顆粒按速度方向不同進行速度平均，獲得顆粒的平均速度分佈曲線。
  14. Can broadcast voice ; according to the requirements of " 1 " key to lower voice " 3 " key to improving the speed automatic scroll volume can be set up to read " key to automatic reading, the key right direction acceleration left slowdown ; in the absence of automatic access to the activated state, the direction of bond, which is manually flip direction key left, bank doubled to right supports bookmarks function " key to increasing bookmarks, " 2 " button to select the bookmark

    音頻播放：電子書中有音頻圖標的地方，只要輕輕一點「 ok 」鍵，即可播放聲音根據自己的要求「 1 」鍵可降低聲音， 「 3 」鍵提高音量可設置速度自動滾屏閱讀「 」鍵設置自動閱讀方向鍵向右加速向左減速在沒有啟動自動瀏覽的狀態下，方向鍵上下是手動翻頁，方向鍵左右是翻行支持書簽功能「 」鍵增加書簽「 2 」鍵選擇書簽「 c 」鍵刪除書簽
  15. When the ballbot ' s goal is to stand still, its control policy tries to simultaneously drive the body ' s position and speed as well as its tilt and tilt rate to zero in each direction, while minimizing the actions needed to do so

    若機器人要站立著不動，它的控制規則會試圖將身體的位置與速度，以及每個方向的傾斜和斜率同時調整到零，並且會盡量減少要維持不倒所需的動作。
  16. In this paper, a new way of real - time damage detection method was proposed according to the high speed working situation of the composite flywheels for energy storage, and a suit of equipment was developed to test the composite samples with piezoelectric disc built - in, the response waves before and after the damage occurred were recorded to the computer. on the base of traditional spectrum analysis of signal recorded, the wavelet analysis was introduced and the program in matlab language was made. with the wavelet packet decomposition of the signal, the relations between the change of response signals and damage characters were gotten, a database for damage recognition was created

    本文結合儲能復合材料飛輪高速旋轉的工作特點，提出了一種在線檢測飛輪轉子損傷的方法，自主設計一套實驗裝置對模擬各種損傷的的試樣進行了測試，試樣損傷前後的響應信號被採集后存入計算機中；在對採集信號進行傳統的頻譜分析的基礎上，引入了先進的小波分析理論，利用matlab語言編寫程序，對信號進行小波分解，得到了信號變化和損傷特徵之間的關系，建立了一個識別飛輪損傷的數據庫；小波包分解得到信號對比圖和特徵向量，可以有效判定材料內部有無損傷和損傷的程度，結合頻譜分析等，可一定程度上判定損傷的類型，為儲能飛輪的安全運轉和智能化運作提供了決策依據。
  17. Based on the formers, this dissertation efficiently selects the face features abstracting using ica. with no decline of recognition rate, the feature dimension is reduced, so the course of recognition is accelerated. support vector machine pattern recognition method is based on vc dimension theory, adopting the srm principle and considering training error and the generalization ability, which has shown many special advantages in dealing with small samples, non - linear and pattern recognition in high dimension

    本文採用基於矩陣s的人臉表示方法，將ica特徵選擇的概念和演算法用於人臉特徵的提取和優化，在不影響識別率的情況下，降低了特徵維數，提高了識別速度；支持向量機（ svm ）模式識別方法基於vc維理論，採用結構風險化原理，兼顧訓練誤差和泛化能力，在解決小樣本、非線性及高維模式識別問題中表現出許多特有的優勢；對于多類問題，介紹並採用了「一對一」的策略進行svm分類器設計；對于圖像預處理，詳細介紹了幾何歸一化的演算法步驟。
  18. A two - stages orientation of object has been developed, which is general orientation firstly, then from this orientation point expanding to search the edge of the objective region. it can ge the center of the image after extracting the image edge. this method can greatly reduce the computer quantity of the feature extract and stereo matching and then improve the speed of recognition

    提出並實現了分階段定位策略，即先宏觀粗定位，然後從從該點出發向外擴張尋求目標區域的邊緣輪廓，提取到圖象的邊緣后，再獲取圖象形心，該方法大大減小了特徵提取和立體匹配的計算量，提高了識別速度。
  19. The main work is as follow : the pater makes use of vanguard genetic algorithms in image segmentation, uses vanguard genetic algorithms to get the image threshold. using this method we may get different grey vehicles from the background exactly. used the support vector machine theory to conduct the vehicles automatic sorting simulation research, the simulation result had proven this method could quite be accurate carries on the vehicles type the recognition ; improved based on the background automatic renewal hypothesized examination region algorithm, enhanced timeliness and the accuracy which the vehicles examines ; and to has carried on the specify based on the hypothesized examination region imagery processing algorithm realization ; in the paper also introduced withdraws the algorithm based on the gradation continuous movement vehicles characteristic to carry on the vehicles the characteristic to withdraw as well as to use the localization method which colored filter same gradation chart processing unifies to carry on the realization method which the vehicles license plate locates

    本文根據智能交通控制與模擬對于交通流量、車輛到達率、車輛速度等交通信息檢測的需求，基於視頻圖像進行了交通信息處理的演算法研究與實現，主要工作包括以下幾個方面:將先鋒遺傳演算法應用到圖像閾值分割中，利用先鋒遺傳演算法尋求全局最優閾值，可以比較準確的將圖像中不同灰度的車輛從背景中分離出來;採用支持向量機理論進行了車輛自動分類的模擬研究，模擬結果證明該方法能夠比較準確的將車輛的類型進行識別;改進了基於背景自動更新的虛擬檢測區域演算法，提高了車輛檢測的實時性和準確性;並對基於虛擬檢測區域的圖像處理演算法實現進行了詳細說明;論文中還介紹了基於灰度連續性的運動車輛特徵提取演算法進行車輛的特徵提取以及採用彩色過濾器同灰度圖處理相結合的定位方法進行車輛牌照定位的實現方法。
  20. The contributions of this dissertation is listed below. aiming at existing defects of traditional beeline detection by hough transformation ( ht ) arithmetic, such as large storage space consuming, imprecise beeline detection effect and information loss of image feature pixels etc, we suggest two new beeline detection methods. ( 1 ) based on infinite symmetry exponential filter and its recursion arithmetic, new beeline detection methods can get exact direction of image edge pixels in advance, so it reduces highly the calculation quantity of the conventional ht, and improves the speed and the precision of beeline detection greatly

    本論文的主要研究成果列舉如下：針對傳統直線檢測霍夫變換（ houghtransform ， ht ）所存在的參數空間存儲量大，直線檢測不精確以及圖像特徵點信息丟失等缺點，提出兩種新的直線段檢測演算法： （ 1 ）提出一種基於無限對稱指數濾波的ht直線段檢測演算法，在進行邊緣檢測的同時，提前精確定位邊緣點的方向，減少了ht的運算量，提高了運算速度和檢測精度，而且整體演算法便於硬體的并行執行，使得實時處理成為可能。
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