點預處理 的英文怎麼說

中文拼音 [diǎnyùchǔlǐ]
點預處理 英文
point-precondition
  • 點 : Ⅰ名詞1 （液體的小滴） drop （of liquid） 2 （細小的痕跡） spot; dot; speck 3 （漢字的筆畫「、」）...
  • 預 : Ⅰ副詞（預先; 事先） in advance; beforehand Ⅱ動詞（參與） take part in
  • 處 : 處名詞1 （地方） place 2 （方面; 某一點） part; point 3 （機關或機關里一個部門） department; offi...
  • 理 : Ⅰ名詞1 （物質組織的條紋） texture; grain （in wood skin etc ） 2 （道理;事理） reason; logic; tru...
  1. The performance characteristic of apocynum & cotton and the spinning technological process of blended yarn is introduced, the technology key of every process such as pretreatment. scutching, carding, drawing, roving and spinning are analyzed in detail, the influence of different blending ratio on yarn property is discussed in order to offer guide of apocynum & cotton blended yarn production

    摘要介紹了羅布麻和棉的性能特點，以及羅布麻棉混紡紗的紡紗工藝流程，並詳細分析了預處理、清花、梳棉、並條、粗紗、細紗等各工序的工藝技術關鍵，探討了不同混比對成紗性能的影響，以期對羅布麻棉混紡紗的生產提供據。
  2. Data preprocessing refers to the process of polygonization, smoothing, decimation and registration. the flow and main steps of data preprocessing are described here. several specific cases, for example the sampling method based on chordal deviation, the feature based registration, are discussed

    本文研究和討論了點雲預處理的基本流程和主要步驟，研究點雲光順的高斯濾波，中值濾波和平均濾波方法、點雲精簡的弦高差演算法和多視點雲特徵對齊的方法。
  3. Firstly, the connected end sets of the relay lines are got using the breadth first search algorithm and the connected relationship of wiring terms is got in the electrical circuit diagram according to different cad block structure of different element type. secondly, the appropriate specification of the relay element is chosen by using the equinoctial graph algorithm, and the panel layout diagram is generated automatically by the combining automatic layout and manual intervention. finally, the optimized path algorithm which passes each vertex in the completed non - directional graph once and only once is put forward, this algorithm and the prim minimum spanning tree algrotithm can generate the inner panel wiring diagram and terminal wiring diagram automatically

    首先，採用廣度優先搜索演算法查找電氣原理圖中的連通導線端點集，並根據不同類型的繼電元件對應的cad圖塊結構的不同，得到電氣原理圖中元件接線端子之間的連接關系;其次，根據二分圖匹配演算法為電氣原理圖中繼電元件選擇合適的型號和規格，並採用人工干預和自動布置相結合的方法完成屏面布置圖的自動生成;最後，提出了完全無向圖中經過每個頂點一次且僅一次的優化路徑演算法，利用該演算法和經過預處理的prim最小生成樹演算法自動生成屏內安裝接線圖和端子接線圖。
  4. The technologies are emphasized, including image collection, preprocessing, edge detection and selection, calculating the dose of the point and drawing the isodose

    著重探討了系統的實現技術，包括模擬定位機下定位圖像的採集、預處理、邊緣識別與提取、任意點的劑量計算和等劑量曲線的繪制等。
  5. 14 dengel a, hoch r, hones f, jager t, malburg m, weigel a. techniques for improving ocr results. handbook of characterrecognition and document image analysis, bunke h, wang p s p, world scientific, 1997, pp. 227 - 258. 15 ruta d, gabrys b. an overview of classifier fusion methods

    系統使用的詞表規模為48詞，採用二值化平滑和基線檢測等對手寫文本圖像進行預處理，提取基於基線的上行筆段下行筆段分別類似於英文中的b ， d ， h和g ， p等字母環狀結構位於主體部分上面下面的點數等結構特徵。
  6. The key fruits is as follows : 1 in the image - preprocessing, the optimal edge - extraction algorithm was used to increase the correlation s / n and auto - thresholding technique was introduced to decrease the affection of illumination distortion on the recognition possibility, and the bottle - neck of image - preprocessing was delivered to the dsp which is on the genesis card instead of cpu

    論文的重點內容如下： 1 、在預處理圖像中，優選了邊緣檢測演算法，並引入自動門限，還將預處理的速度瓶頸交給了圖像卡上的dsp ，這樣不僅提高了s n ，而且也提高了對不同光強的適應能力，還防止了速度瓶頸、減輕了cpu的負擔。
  7. Secondly, the steps of the glass ' s image processing are discussed in detail. based on the experiments and the characteristics of interference fringe, we pre - process the images with median filter and image segmentation with dynamic threshold. after marking and thinning the resulted fringes, we analyze linearly the unifor mity of product ' s samples with the characteristics of the framework

    然後，結合檢測系統中玻璃干涉圖像處理的任務，詳細介紹了處理的各個步驟：通過實驗比較，並結合干涉條紋圖像的特點，選擇中值濾波、動態閾值分割等技術對圖像進行預處理；然後對獲得的二值條紋進行標記、細化，提取條紋骨架；最後，用骨架的特徵進行線性分析，識別條紋的類型，判斷玻璃樣品的均勻性。
  8. In order to use the merits of these two detectors synthetically, the hybrid detector has been proposed, which uses the part of reduced detector to pretreat the data and the part of shnn to search the most likelihood sent datas

    綜合利用幾種檢測器的優點，文中提出一種基於隨機hopfield網路和精簡檢測器的混合多用戶檢測器。該檢測器利用精簡檢測器對待檢測數據進行預處理，然後利用隨機hopfield網路進行搜索。
  9. This article puts forward a solution named divide - assemble by deducing the size of bp neural network to overcome entering the local best point, the dividing process is that a big bp neural network is divided into several small bp neural networks, every small bp neural network can study alone, after all small bp neural networks finish their study, we can assemble all these small bp neural networks into the quondam big bp neural networks ; on the basis of divide - assemble solution, this article discusses the preprocessing of input species and how to deduce the size of bp neural network further to make it easy to overcome entering the local best point ; for the study of every small bp neural network, this article adopts a solution named gdr - ga algorithm, which includes two algorithms. gdr ? a algorithm makes the merits of the two algorithms makeup each other to increase searching speed. finally, this article discusses the processing of atm band - width distribution dynamically

    本文從bp網的結構出發，以減小bp神經網路的規模為手段來克服陷入局部極小點，提出了bp神經網路的拆分組裝方法，即將一個大的bp網有機地拆分為幾個小的子bp網，每個子網的權值單獨訓練，訓練好以後，再將每個子網的單元和權值有機地組裝成原先的bp網，從理論和實驗上證明了該方法在解決局部極小值這一問題時是有效的；在拆分組裝方法基礎上，本文詳細闡述了輸入樣本的預處理過程，更進一步地減小了bp網路的規模，使子網的學習更加容易了；對于子網的學習，本文採用了最速梯度? ?遺傳混合演算法（即gdr ? ? ga演算法） ，使gdr演算法和ga演算法的優點互為補充，提高了收斂速度；最後本文闡述了用以上方法進行atm帶寬動態分配的過程。
  10. Pre - reductor is first proposed to reduce nodes dramatically, therefore the solving ability is enhanced and the speed of the solver is improved

    摘要提出了利用預處理器來提供強大的壓縮節點功能，大大提高了電源網格節點電壓求解器的求解能力和求解速度。
  11. Firstly, the complex characteristics of the seal images caused in the process of producing conditions are analyzed. to solve these problems respectively, the circularity clusters and the ostu method are firstly used to realize the shape classification and threshold processing of different seal images. then the image denoise is performed well by scanning beam seed filling and labeling algorithm

    論文中首先分析了印鑒圖像由於蓋印條件造成的圖像本身的一些復雜特點，提出了運用圓形度聚類和最大方差比演算法對圖像進行形狀分類和閾值處理，隨后利用掃描線種子填充演算法和貼刪標簽演算法進行噪聲的去除等預處理。
  12. In the phase of image pretreatment, the main jobs of this system includes dot operation, image swell, positive chiasma transform, edge extraction and edge swell, outline track, etc. because the visual system itself is a neural system, systematizer designed in the paper adopts bp neural network to accomplish computer image identification, the system has some advantages over the traditional one, but with the extensive application of bp neural network, the problems existing in bp neural network come forth increasingly

    在系統軟體設計部分中，首先是對所選零件進行模式識別，包括圖像預處理、特徵提取和分類器設計三個階段，其中在圖像預處理階段本系統主要做的工作有：點運算、圖像增強、正交變換、邊緣提取和邊緣增強、輪廓跟蹤等。由於視覺系統本身就是一個神經系統，故本文所設計的分類器採用bp神經網路，其具有一些傳統技術所沒有的優點。
  13. 4. using processed frequencies and first order modal dofs in a few points as network inputs, trained neural network gives excellent assessment results of a steel truss bridge

    4 、本文以結構的低階頻率和少數節點的一階振型分量，經預處理後作為神經網路輸入，準確實現了對一鋼析粱橋的損傷位置和損傷程度識別。
  14. At w3pop we demonstrate server - side scripting by using active server pages ( asp ) and php : hypertext preprocessor ( php )

    在w3pop的有關服務器端腳本教程中，我們重點介紹了動態服務器頁面（ asp ）以及超文本預處理程序（ php ） 。
  15. The paper introduces briefly the characteristics of afit, the significance of the fingerprint image pre - processing and all parts of afis ( automatic fingerprint identification system ), then expatiates on the image pre - processing included image segmentation, image enhancement, image binarization and thinning

    本文首先簡要介紹了指紋識別技術的特點、指紋圖像預處理技術意義及自動指紋識別系統的流程，然後主要闡述了指紋圖像預處理中的圖像分割、圖像增強、圖像二值化及細化等部分的演算法實現。
  16. It is very important for minutia extraction in afit ( automatic fingerprint identification technology ) based on minutia matching. the fingerprint image always has much noise and can not be adapted to extract minutia directly, so pre - processing of fingerprint image to get a point - line image is an important part of afit domain

    細節特徵點的準確提取在基於細節特徵點匹配的自動指紋識別技術中十分重要，然而由於各種噪聲的影響，使得所採集的指紋圖像質量比較差，並不適合直接用來提取細節特徵點，所以對指紋圖像進行預處理以獲得清晰的點線圖是自動指紋識別研究領域的一個重要組成部分。
  17. This article canvass the status quo of the archive ' s automatization administration and the develop status of data mining, and discusses how to combine the data mining technology with the archive work from data cleaning means, data mining arithmetic, and data storage etc. and this article put forword a data mining syst em design idea. this article ' s structure is : first, in allusion to the archive data status quo, the pretreatment work of archive data that include data quality evaluation, data cleaning and data commut - ation process is bringed forword ; second, in the process of realizating data mining, the article discusses conception description, association rule, class three familiar means of applicating data mining, also put inforword the concrete arithmetic and the program design chart, and discusses the range and the foreground of all kinds of arithmetic when they are applicated in the archive ; third, the base of so you say, this article also discusses the importance of the archice applicate data storage and the means of realizing it ; last, the article discusses seval important problem of realizing an archive data mining system from data, diversity, arithmetic multiformity, mining result variety and the data pretreatment visibility, mining object descriptive visibility, mining process visibility, mining result visibil ity, user demand description and problem defining etc aspect. the article ' s core is how to import data mining technology in the archive work

    本文評述了檔案自動化管理現狀和數據挖掘技術的發展狀況，從數據清洗方法、數據挖掘演算法、數據倉庫的建立等方面論述了如何將數據挖掘技術與檔案工作相結合的具體思路，並提出了一個數據挖掘系統的設計思想。文章首先，針對檔案數據的現狀，提出了應對檔案數據進行預處理工作，包括數據質量評估、數據清理、數據變換和歸約等過程；其次，在具體實現數據挖掘過程中，本文結合檔案數據的特點探討了概念描述、關聯規則、分類等三種常見挖掘形式的實現方法，提出了具體的實現演算法和程序設計框圖，並論述了各種演算法在檔案工作中的應用范圍及前景；第三，在上述基礎上，又論述數據倉庫在檔案數據挖掘中的重要性並提出了實現一個檔案數據倉庫的方法；最後，從處理數據的多樣性、演算法的多樣性、挖掘結果的多樣性、數據預處理可視化、挖掘對象描述的可視化、挖掘過程可視化、結果顯示可視化、用戶需求的描述及問題定義等幾方面討論了實現一個檔案數據挖掘系統的幾個重點問題。全文以探討如何將數據挖掘技術引入到具體的檔案工作實踐中為核心。
  18. This interpolation module uses the popular and advanced nurbs interpolation technology. the procedures of math processing for nurbs, preprocessing for interpolation and real - time interpolating running on dsp are presented in this article. the interpolating procedure uses an advanced self - adjusting interpolation method, which can automatically adjust the length of interpolation according to machining speed, acceleration and the tolerance of bow height

    插補模塊則採用了當今最流行最先進的nurbs插補技術，設計了nurbs數學處理程序，插補預處理程序，運行於dsp的實時插補程序，該插補軟體採用了先進的自適應插補方法，可以根據加工的速度，加速度，弓高誤差的要求自適應調整插補步長，同時採用了對插補點的預估演算法，免去以往加工方法中求導的運算，大大降低了運算量，提高了加工速度。
  19. The main content of this paper is compress arithmetic of multi - spectral image, and the implement with fpga. in the phase of preprocess, the paper analyses the characteristics of multi - spectral image, classifies data redundancy to two classes : spatial - redundancy and spectral - redundancy, afterwards, eliminates these data redundancy with different forecast models

    在預處理階段，本論文分析了多光譜圖像的數據特點，將多光譜圖像數據中存在的數據冗餘分為兩大類:空間冗餘和譜間冗餘，再針對每種冗餘使用相應的預測模型消除數據相關性。
  20. This thesis includes four parts in which the technologies of web usage mininig are systematically researched. in the first part we summarize the techniques of data mining and web usage mining, present the significance of the research on web usage mininig, the status of research and the problem which web usage mininig will face with. in the second part we discuss the web usage mininig according to the process of web mining. in the stage of data preparing and preprocessing we discuss the algorithm of data cleaning, user and session identification in detail, and present a data model of association rules and sequential patterns in the stage of pattern discovery, discuss the useful method of pattern analysis in last stage. a synthesis clustering algorithm cppc is proposed in the third part of this thesis

    本文分主要從以下四個方面對web使用挖掘進行了系統的分析和研究。第一是對數據挖掘和web挖掘進行了概述，闡述了web挖掘的意義、研究的現狀、面臨的問題。第二是討論了web使用挖掘的三個階段：在數據準備和預處理階段重點討論了數據清洗及用戶和會話識別演算法；在模式發現階段定義了關聯規則和序列模式的數據模型；模式分析階段則討論了現行的幾種分析方法。
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