識別時間 的英文怎麼說

中文拼音 [zhìbiéshíjiān]
識別時間 英文
recognition time
  • 識 : 識Ⅰ動詞[書面語] （記） remember; commit to memory Ⅱ名詞1. [書面語] （記號） mark; sign 2. （姓氏） a surname
  • 別 : 別動詞[方言] （改變） change （sb. 's opinion）
  • 時 : shí］Ⅰ名1 （比較長的一段時間）time; times; days:當時at that time; in those days; 古時 ancient tim...
  • 間 : 間Ⅰ名詞1 （中間） between; among 2 （一定的空間或時間里） with a definite time or space 3 （一間...
  • 識別 : 1 （辯別; 辯認） discriminate; distinguish; discern; tell the difference; spot 2 [計算機] identif...
  • 時間 : time; hour; 北京時間十九點整19 hours beijing time; 上課時間school hours; 時間與空間 time and spac...
  1. It becomes a challenge to suppliers in the pearl river delta region. with the support from the innovation and technology commission of hong kong sar government, the university of hong kong s e - business technology institute has recently developed a flexible rfid middleware that can help companies to integrate backend systems with rfid equipments in a time saving, cost effective and painless manner

    香港大學電子商業科技研究所簡稱eti獲得特區政府創新科技署資助，最近開發了一套靈活的無?射頻識別中間件，能協助這群生產商及其他公司以省時具成本效益和和簡易的方法，將無?射頻識別設備與其後臺系統整合起來。
  2. Research advances of weed identification technology using machine vision

    實時識別行間雜草的機器視覺系統
  3. 5. the seed fill algorithm in graphics was introduced into the between - rows weed detection to fill the areas connected with the centre of the crop row. in order to gain the faster processing speed, an improved scan - line seed fill algorithm was developed successfully

    根據雜草多數分佈於作物行之間的裸土區的位置特徵，首次引入圖形學中的種子填充演算法識別行間雜草，並且針對傳統種子填充演算法比較費時的缺點，研究改進的掃描線種子填充演算法，顯著提高了填充速度。
  4. Transaction can be assigned a unique identifier ( time stamp ) which can be through of as the transaction ' s start time

    任何處理元執行時，均將它開始執行的時間當作一個唯一的識別（時間戳記） 。
  5. It is a promising technology and applied in a wide range of applications such as electronic street nameplate, ticketing system, automobile management, assembly line automation, due to its capability of dealing large scale data, high security, good anti - emi ( electro magnetic interference ) capability, fast response and low cost

    它具有數據量大，保密性高，抗干擾能力強，識別時間短，費用較低等優點，有很好的應用前景，如:電子路牌、票務系統、車輛管理、自動化生產線管理等。
  6. Taking the real - time recognition request into consideration, a bi - layer ahmm model ( bl - ahmm ) is introduced. bl - ahmm can reduce the recognition space by pre - categorization, which improves the speed and accuracy of recognition. like the other grads descend algorithms, the problem of local optima is also existed in the training of hmm

    為了進一步提高識別速度，滿足聯機識別中實時性的要求，本文在ahmm的基礎上同時提出了一種雙層自適應識別模型（ bl - ahmm ） ，通過預分類來減小識別空間，提高了系統識別速度並同時提高了識別率。
  7. Thirdly, decrease the difficulty of the character recognition through studying the method of character preprocessing ; at last, some effective methods of feature extraction, such as the one based on image transform with the invariant features which keep stable while the picture move, rotate and zoom in or out, and the other focused on the shape of character and features of direction

    三、深入探討了字元識別的預處理方法，減少字元識別時的運算量和難度。四、討論了三種特徵向量的提取方法，一種是基於平移、旋轉和尺度不變性的圖像變換法，一種是計算中心矩的方法，再就是強調字元形狀和結構的方向特徵量提取法，實驗中通過最小距離法進行字元的分類識別，匹配時間少，識別率有所提高。
  8. ( 2 ) a series of new methods of feature extraction based on the optimal discriminant analysis are proposed, including the new lda algorithm based on the spectral decomposition of within - class scatter matrix sw which is effective when the number of class is small, an improved algorithm of optimal set of discriminant vectors based on the svd which is effective for face recognition, and the kernel fisher discriminant method ( kfdm ). experimental results on orl show that the kfdm outperforms conventional fisher discriminant methods in face recognition, however the computational load is much higher than those of conventional algorithms

    （ 2 ）提出了基於最優鑒別分析的圖象特徵抽取的一系列新方法，它們包括：基於對類內矩陣s _ w進行譜分解的f - s最優鑒別矢量集方法，該方法在類別數比較小時非常有效；一種改進的基於svd的最優鑒別矢量求解演算法，將該方法用於人臉識別時有較好的性能；非線性最優鑒別矢量集方法，該方法雖然有效，但計算時間較長。
  9. When the algorithm is applied in the identification of industrial parts, comparison with the traditional bp neural network the recognition time will be shortened 2. 8 second, and the recognition accuracy can reach more than 81 %

    將上述演算法應用於對工業零件的識別當中，相對于傳統的神經網路可縮短識別時間2 . 8秒，而且識別正確率可達到81以上。
  10. The analysis of time - series is important for economics statistics and forecasting. up till now, most documents adopt arima model to carry on modeling and predict to time - series analysis extensively. but arima model needs more than 50 historical statistics in model discerning, and it is difficult to collect data by quarter, month or year

    時間序列分析在經濟統計與預測中佔有重要地位，到目前為止，大多數文獻廣泛採用arima模型法對時間序列分析進行建模與預測，可是arima模型法在模型識別時需要50個以上歷史統計數據，這對按月、按季或按年記錄的經濟資料往往較難收集。
  11. In training process, we use kernel - based fisher discrimination analysis ( kfda ) method to train the input sample vectors. the method has been used in face recognition and has been demonstrated better recognition capability than other methods ( pca, kpca, svm ). we calculate the optimal subspace wopt and project the sample gait sequences to wopt, then get the tracks of the sequences, calculate the track centroid and calculate the exemplar projection centroid of the sequences in the same class, and the exemplar projection centroid represents the class template. to test the class of a gait sequence, we also project the test sequence to the eigenspace, and calculate the track centroid, then calculate the euclidean distance of the test sequence tracking centroid with the sample sequences ’ exemplar projection centroids. and the class which the test sequence belongs to is the one that the sample sequence which the euclidean distance is shortest belongs to

    該方法在人臉識別的研究中已有採用並在同樣測試條件下取得比其他識別方法更好的識別性能。採用kfda方法取得最優特徵空間wopt ，把步態樣本序列映射到wopt中，取得樣本序列在特徵空間中的軌跡，計算軌跡質心，把同類樣本序列的軌跡質心進行平均求得該類的標本投影軌跡質心，作為該類的模板。在識別時，將測試序列也投影到特徵空間中，取得序列軌跡質心，對測試序列軌跡質心與樣本的標本投影軌跡質心計算它們的歐氏距離。
  12. The system faces to application, and tries to overcome the noise affection and shorten the recognition time

    課題的主要努力方向是針對實際應用進行系統設計、增強系統的抗噪聲性能和減少識別時間。
  13. The simulation results show that the algorithm not only inherits the advantages of the original algorithm, but also both volume of the navigation star database and recognition time are equivalent to 1 / 4 that of the original algorithm

    模擬結果表明本演算法不但繼承了原演算法的優點，而且導航星庫的容量和識別時間都是原演算法的1 / 4 。
  14. This algorithm effectively overcomes the contradictions of traditional algorithm among recognition success rate, recognition time and storage capacity. and this algorithm has been improved notably in aspects of database capacity and real - time, comparing with traditional star pattern recognition algorithm

    它有效地解決了傳統演算法在識別成功率、識別時間與存儲量之間的矛盾，並且在數據庫容量、實時性等方面較傳統星圖識別演算法有顯著改善。
  15. Aiming at the drawback of this method in dealing with similar targets, this paper looked the multi - evidence set as a multi - evidence space and used euclidean space distance to improve the algorithm of set - pairs proximity

    文章針對該方法在處理相似目標識別時貼近度相近的缺陷，將多個證據組成的證據集合看作是由多個證據組成的證據空間並在歐氏空間權距離的基礎上改進了集對貼近度演算法。
  16. Comparing with the traditional method, the method proposed here significantly decreases the time of the study and the recognition and remarkable improve recognition ratio

    本演算法同傳統的方法相比，可以大大降低訓練時間和識別時間，並能顯著提高識別率。
  17. The system has been implemented on win98 by the author independently, the experimental result shows this method has stronger anti - interference ability and the discerning rate can be more than 95 percent and discerning time is less than one second. it has prospect of practical application, ^

    實驗結果表明，該方法具有較強的抗干擾能力和快速性，識別率可達95以上，識別時間小於1秒，具有實際應用的前景。
  18. Firstly, a rapid and exact method of character recognizing based on image recognition and process theory is presented according to the characteristics of letters and arabic numerals. in this system the recognizing modes are few, but the high exactness and speed must be guaranteed

    在解決紙幣號碼圖像的識別過程中：首先從圖像處理和識別理論出發，針對字元識別模式少、識別準確率高、識別時間短的特點，提出了一種以提取識別字元圖像和直線交點的個數為特徵，然後分類快速識別的識別方法。
  19. The results of recognition illuminates that this model can efficiently improve the recognition rate ( and the time of recognition for only using well - bp neural network is too long, but that of combing the simple - bp neural network with bayes method is not so long for target identification when the two methods have the same recognition rate. )

    識別結果表明，這種方法能夠有效地提高識別率。同樣的，將bp神經網路與d - s方法相結合（ bpd - s方法）來識別目標，其識別率有了進一步的提升，其穩健性相對較好，但是識別時間比bpbayes方法的要長。
  20. A transaction either recognizes data in the state it was in before another concurrent transaction modified it, or it recognizes the data after the second transaction has completed, but it does not recognize an intermediate state

    事務識別數據時數據所處的狀態，要麼是另一併發事務修改它之前的狀態，要麼是第二個事務修改它之後的狀態，事務不會識別中間狀態的數據。
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