格式識別 的英文怎麼說

中文拼音 [géshìzhìbié]
格式識別 英文
format identification
  • 格 : 格象聲詞rattle; gurgle
  • 式 : 名詞1 （樣式） type; style 2 （格式） pattern; form 3 （儀式; 典禮） ceremony; ritual 4 （自然科...
  • 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）
  • 格式 : form; layout; pattern; format; mode; style
  • 識別 : 1 （辯別; 辯認） discriminate; distinguish; discern; tell the difference; spot 2 [計算機] identif...
  1. The first part is to parse the accidence of words, the second part is to analyze the grammar of sentences, and the third part is to translate

    數控系統中的代碼解釋是把輸入的信息最終要轉換成系統能夠識別的信息，並針對輸入的格式和內容進行檢查，對錯誤進行警報。
  2. In this diploma thesis, the statistic and structural characteristic of musical score image is analyzed and synthesized by relevant technology of image project, pattern recognition, mathematical morphology, software engineering, music knowledge, midi and so on. the concept of direction number has been defined, and then the mathematical morphology theory is used to process musical score image and recognize musical information. specialized direction number algorithms are firstly used to preprocess a musical score image and then recognize stafflines, barlines, pitch, note values, clef, etc. finally the musical information of the musical score image is automatically stored in the midi format

    本文利用圖像處理、模式識別、數學形態學、音樂知識庫與midi等相關技術，分析與綜合數字樂譜圖像的統計與結構特徵，提出了方向數等概念，對樂譜圖像進行處理，利用直方圖技術與方向數演算法識別譜線、小節線、符乾等樂譜的主要框架，然後用數學形態學理論識別音高與時值，最後根據這些音樂信息，組合成音樂樂譜信息，並自動轉化成midi格式。
  3. There are three stepwise stages of the procedure of the dispute solution, which includes the decision of engineers, the dab and the arbitration. chinese contractors shall take actions to protect their benefits. these actions includes the careful analysis on the claims and the strict managements of contracts, the well understanding of the contracts, especially the terms that exculpatory clause of the employers, then following of the procedure and catching the very chance to bring about claims

    文章指出索賠是國際工程合同中的一種具有補償性的、非常講究時效和書面證據的歸責方式，承包商可分別基於工程變更、僱主違約、風險因素或合同瑕疵等原因對發包商提出索賠請求，工程師決定、 dab爭端裁決和仲裁是解決索賠爭端的三種遞進的基本程序，中國承包商應從採取充分論證索賠權，準確識別索賠機會，熟悉合同文件、嚴格管理合同，充分認知僱主的免責條款、切實遵守索賠程序等多個方面維護自身的利益。
  4. As it ' s proprietary, a large numbers of bibliography resource ca n ' t be provided to common readers of internet. along with the development of network technology, it has a instancy need to conversion marc format to the information that the browser can recognize. the language xml not only can expresses the metadata, but also can show the content of data. lt can provide individuation page layout

    Marc格式是目前圖書館館藏資源的主要表示格式，由於其專用性，使得目前大量的書目資源無法通過一般的搜索引擎向internet用戶提供，隨著網路技術的不斷發展，迫切需要將marc格式的數據轉換成常用瀏覽器所能識別的信息，為大眾提供服務，可擴展標記語言xml不僅可以表達元數據，而且可以揭示數據的內容，提供個性化的頁面顯示，用xml語言對marc數據進行描述是解決這一問題的有效途徑，文章提供了marc數據的xml表示方法和實現途徑。
  5. The disquisition includes choice of algorithm, accomplish of algorithm, collection of learning sample, parameter of net, shortcoming of bp algorithm, extraction and reduction form line etc. referring to shortcoming of traditional bp algorithm, a modified learning factor with adaptation is introduced. because of every different font has robust, the way based chain coded and knaggy feature is used. a bizarre sample feature database is constructed for speeding up modified bp learning and classification

    本文對人工神經網路理論進行了研究，探討了網路形式及演算法的選擇、演算法的實現、學習樣本的收集、網路參數選擇、 bp演算法缺陷、表格線提取、還原、生成及字元識別、還原生成等問題，並針對bp演算法的缺陷提出了和實現了改進型bp演算法，使網路學習效率提高，對不同人的不同字型字體有較強的魯棒性，採用了基於鏈碼特徵和凹凸分佈特徵的方法來抽取字元特徵。
  6. Warning 6530 : unrecognized format string style

    警告6530 ：無法識別的格式字元串樣式
  7. Unrecognized format specifier ; a format exception is thrown

    無法識別的格式說明符；引發格式異常。
  8. In this system, the movement of the step - electromotor is controlled by computer, and then the dial pointer is drove by the step - electromotor. at the same time, these images of the analog instrument are took by high precision ccd video, and then these images will be processed by the computer, using some image - processing algorithms such as image segmentations, threshold identification, image binarization, areas labeling, dial center - point identification, useful areas identification & abstracting, and areas thinning, etc. followed this, the dial pointer of the “ circle ” is able to be located. at last, the dial pointer position will be recognized by the computer

    本系統由計算機控制步進電動機的運動，進而驅動指針式儀表表針的運動，並且通過高精度ccd攝像機實時獲取表盤圖像數據，同時進行表盤圖像的相關處理，包括圖像分割，閾值確定，圖像二值化，區域標記演算法，圓心擬合，有效區域識別提取，區域細化等，最終快速識別出表盤指針所處位置;最後，根據國家指針式儀表類檢定規程所制定的演算法計算出該儀表的相關誤差，檢定指針式儀表的各種精度，通過這些數據判斷該儀表是否合格，列印該儀表的檢定結果報表。
  9. File format for afis data interchange

    指紋自動識別系統數據交換文件格式
  10. In this paper, based on understanding and mastering image processing, we input the drawing into the computer by the image conversion, then automatically get and recognize the element by the method of the image processing and pattern recognition. at last, on the base of the understanding of the whole drawing, we will transform the information of the picture and the character to the vector format, on which we can make the vivid courseware

    本文在理解和掌握圖像處理主要技術基礎之上，主要討論通過圖像轉換裝置將圖紙輸入到計算機，運用圖像處理、模式識別等理論和方法進行圖像中各種要素的自動提取識別，在實現對整幅圖紙理解的基礎上，自動將圖紙和符號信息轉換為矢量數據格式。
  11. The paper puts forward the clustering algorithm includes : clustering based on grid and iterative, enhanced clustering algorithm base on density and k - medoids, enhanced k - means algorithm ( optimize chooseing consult _ points in iterative process ), enhanced clustering algorithm base on distance. they can overcome many limitations ( some traditional algorithms terminate in local optimization. many results of cluster are roundness, too many times in partition iterative process ), which are related to the static architecture of traditional model

    在傳統聚類演算法的基礎上，結合我們科學數據挖掘的應用對象?分子動力學數據，提出了迭代網格聚類演算法， k -平均和基於密度結合的聚類演算法，迭代過程中優化選擇中心點的k -平均方法，以及改進型的基於距離的聚類演算法等模式識別方法，能夠解決傳統演算法帶來的諸多問題（比如一些傳統的聚類演算法常常收斂于局部最優，發現都模式都趨近於球形，劃分方法中迭代次數過多帶來的效率問題） 。
  12. Based on the picture processing technology, the vision technology, and the pattern recognition technology, this program helps detect unqualified foamed mask packaging products made of aluminum - plastics, like those with omission assemblage, fragments, and foreign bodies

    以圖像處理技術為基礎，結合視覺技術、模式識別技術來檢測出漏裝、碎片、異物等不合格鋁塑泡罩包裝產品。
  13. Based on statistic pattern recognition principle of identifying the image classification, the exactitude identifies the image of an unqualified glass container

    基於統計模式識別原理對處理后圖像進行識別分類，正確識別出不合格的玻璃容器的圖像。
  14. The paper discuss the way to this question and want to explain the question by neural networks and ga with the help of projection arithmetic. the algorithm uses complexion model to detect karst object. first, the paper introduce the important of the research. then the paper understand the algorithm of patterm recognition and apply it to the images of remote sensing in jinping karst area

    因此，本文先歸納和分析了當前遙感圖象處理與模式識別的典型演算法，然後利用目前流行的神經網路與遺傳演算法結合高斯-克呂格投影等平差分析演算法進行遙感圖象中的巖溶地物信息模式識別。
  15. The thesis, in the probability analysis and computation, considers the failure history of space frames and trusses, adopts the bound criterion and algorithms on the base of system ' s critical strength, and introduces the soft self - adaptation control bound into the identification of dominant failure modes ; at the same time, with the incremental load method and differential equalized recursive method, computes the limit - state function of failure mode and probability index precisely under no leaking the dominant failure modes

    文中在可靠性分析和計算部分，考慮空間剛桁架結構系統的失效演化歷程，採用基於系統臨界強度的約界準則和約界演算法，將柔性自適應控制邊界引入失效模式識別過程；同時，用荷載增量法和微分等價遞歸演算法相結合，確保在嚴格不遺漏主要失效模式的情況下，快速準確地求解失效模式的極限狀態方程和可靠度指標。
  16. Information technology - generic coding of moving pictures and associated audio information - part 1 : systems amendment 1 : registration procedure for " copyright identifier " amendment 2 : registration procedure for " format identifier

    信息技術.移動畫面和有關音頻信息通用編碼.第1部分:系統.修改件1 :版權識別注冊過程.修改件2 :格式識別注冊過程
  17. Then 3d gis and its construct is introduces briefly, and the relevant background and theory are studied, such as picture segmentation, pattern recognition and vectorization technology, etc. it is discussed in detail how to realize the data entry of contour lines ( include extraction, pretreatment, vectorization and making dem ) in 3d gis by using computer graphics, image processing and visualization programming technology, and a complete set of concrete scheme to design a system recognizing automatically contour lines from scanned data of map is put forward

    論文從地理信息系統領域研究應用的歷史和現狀入手，簡要介紹了三維地理信息系統及其構成，研究了相關的背景與理論知識，如圖像分割、模式識別和矢量化技術等等。論文重點闡述了如何運用計算機圖形學、圖像處理、可視化編程技術等實現三維地理信息系統等高線要素的數據輸入（即提取、預處理、矢量化和網格化生成dem數據高程模型這幾個基本內容） ，並提出了地圖掃描數據等高線自動識別系統設計的一整套具體方案。
  18. Later on, after elaborating the disadvantages of the old methods in detecting and recognizing moving objects, a series of corresponding approaches are proposed, such as grid scan, local tracking bug and dynamic window in object tracing to reduce the huge data needed to be processed, maximum and minimum for selecting a proper segmentation threshold and improved conversion from rgb model to hsv and so on to decrease the influence of inhomogeneous lighting and the color noise, a bilinear interpolation in each quadrant to eliminate the bad effect on the recognition precise because of the distortions of the camera. after that, much emphasis is given on application study in pattern recognition with a feed - forward neural network. both the basic bp algorithm and improved bp algorithm in the study process are described in detail, and the later is used to quicken convergence speed and improve validity of the network

    然後，分析和闡明了傳統的運動目標檢測方法的不足，並在此基礎上結合研究中的實際實驗環境，提出了一系列解決方法，包括針對降低龐大數據量而提出的網格掃描、局部「跟蟲」追蹤和動態窗口掃描等目標檢測方法，針對實驗環境中光照不均和顏色干擾提出基於人機交互的最大最小值閾值選取方法和引入改進的rgb模型到hsv模型的轉換方法，為消除圖像畸變對識別精度的惡劣影響而採用的通過控制點進行雙線性插值進行畸變校正的方法；緊接著，概述了神經網路的發展歷史和幾種常用神經網路模型的特點，重點研究了前饋型神經網路在模式識別中的應用問題，詳細闡述了基本的bp演算法和學習過程中bp演算法的改進，從而使網路收斂速度更快，解決問題更有效，並在此基礎上，設計了一個基於bp神經網路的運動目標識別系統，給出了實驗結果。
  19. According to the successful application to pattern recognition of small category for neural network, in this system, we use a distance classifier based on gross periphery feature for rough classification in order to classify the total chinese character set to some small sets, and then a bp network classifier based on the probability distribution of pixels with elastic meshing is used for fine recognition

    在此系統中，我們針對神經網路在小類別模式識別中的成功應用，先採用基於漢字粗外圍特徵的距離分類器作為粗分類，以將待識漢字集分成若干個小的漢字集合，然後用基於漢字彈性網格像素概率分佈特徵的bp神經網路分類器作為細分類，以實現漢字識別的目的。
  20. A survey of character recognition methods is presented in chapter 3. comparison of some extracted feature matching algorithms based on statistical pattern recognition is conducted. these features are profile, mesh and projection of micro structure for distinguishing similar characters

    作者對車牌漢字識別的特徵提取方法進行了研究，首先比較了多種基於統計模式識別的特徵提取匹配演算法，包括外圍面積特徵，網格特徵和用於區分相似漢字的微結構投影特徵。
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