preprocessing 中文意思是什麼
preprocessing
解釋
預處理-
We discuss the preprocessing of video and whole body tracking problem firstly
首先討論了對于視頻的預處理以及全身運動的跟蹤問題。 -
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。 -
Feature selection, as a preprocessing step to data mining, is effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and improving result comprehensibility
屬性選擇作為數據挖掘過程中的一個重要步驟可以有效地降低特徵維度，去除不相關屬性，提高模型準確率以及增加模型的可解釋程度。 -
The system comprises three modules : the first is the ccd driver module, which controlled with cpld. programming the cpld to produce ccd driving pulses and synchronized communication signals. after preprocessing, the output video signals are transmitted into high resolution adc module, in which they are converted into digital signals, and then processed in arm processing module
整個系統分為三個模塊: ccd驅動模塊的核心是一片復雜可編程邏輯器件（ cpld ） ，對其編程產生ccd的驅動脈沖及同步控制信號;視頻輸出信號經預處理后，由高精度ad轉換模塊進行采樣，將ccd輸出的模擬信號轉換成數字量;最後，將數據送入arm處理系統中進行后續處理。 -
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。 -
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。 -
To solve these problems, a fem preprocessing system in materials joining process has been developed in this dissertation. based on this system, a welding numerical model of a missile ’ s oil box has been established and the structure ’ s distortion rules after welding have been analyzed
本文針對這一現狀開發了一個專門針對焊接過程數值模擬的有限元前處理系統，並應用該系統建立了某型號導彈油箱結構的焊接有限元模型，分析了該結構的焊后變形規律。 -
As an application of this fem preprocessing system, the simulation on the welding process of missile ’ s oil box was performed, in which the effects of the welding sequences of four web plates and welds on each web plate are primarily analyzed. the simulation results show that the deformations under varied welding sequences are almost the same. downward deflection deformation is obtained along the weld longitudinal direction in the structure as well as upward deflection deformation along the weld traverse direction
對于某型號導彈油箱結構焊接過程的數值模擬計算，主要考察了每塊立板上各段焊縫焊接順序的調整、四塊立板之間不同的焊接順序以及焊接起始端的選擇對結構焊后變形的影響規律，模擬結果表明:壁板在各種焊接順序下的整體變形規律基本相似，即焊後壁板沿焊縫縱向發生了向下的撓曲變形，中部向下變形量最大;沿焊縫橫向發生了向上的撓曲變形，壁板兩端部變形量較大，且壁板前端變形大於壁板後端。 -
Preprocessing of phi - 3 hyperspectral data
3高光譜數據預處理 -
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。 -
The examination indicates the preprocessing algorithm is realizable and effective
通過演算法在硬體上的實現，證明了演算法的有效性。 -
Aimed at the acoustic signals from heavy sizing - press and rolling bearing rig, a preprocessing of autocorrelation for independent component analysis ( ica ) is proposed
摘要以大型軋鋼機和滾動軸承試驗臺為研究對象，應用獨立分量方法來分離機器的聲音信號，並提取其狀態特徵。 -
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。 -
In the case of the main - lobe interference, we construct the preprocessing matrix, which cancels the main - lobe interference before adaptive beam forming. so the main - lobe aberrance is taken off. the dissertation focuses on the dbf of conformal array
特別針對主瓣內干擾情況下的寬帶自適應波束形成，通過構造圓陣預處理矩陣，消除主瓣內干擾后再作自適應波束形成，解決了主瓣畸變的問題。 -
Signal preprocessing of non - contact life parameters detection by radar technology
雷達式非接觸生命參數檢測的信號預處理 -
In the preprocessing stage the method of user and session identification often adopt heuristic algorithm for the being of cache and agent. this induce the uncertainty of data resource. the cppc algorithm avoid the limitation and has no use for complicated hash data structure. in this algorithm, by constructing a userld - url revelant matrix similar customer groups are discovered by measuring similarity between column vectors and relevant web pages are obtained by measuring similarity between row vectors ; frequent access paths can also be discovered by further processing of the latter. experiments show the effectiveness of the algorithm. in the fourth part, this thesis bring some key techniques of data mining into web usage mining, combine the characteristic of relation database design and implement a web usage mining system wlgms with function of visible. lt can provide the user with decision support, and has good practicability
本文演算法避免了這個缺陷，且不需要復雜的hash數據結構，通過構造一個userid - uel關聯矩陣，對列向量進行相似性分析得到相似客戶群體，對行向量進行相似性度量獲得相關web頁面，對後者再進一步處理得到頻繁訪問路徑。實驗結果表明了演算法的有效性。第四是本文將傳統數據挖掘過程中的各種關鍵技術，引入到對web使用信息的挖掘活動中，結合關系數據庫的特點設計並實現了一個具有可廣西人學頎士學位論義視化功能的web使用挖掘系統wlgms 。 -
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。 -
Other tools have been integrated into the software, such as data preprocessing, similarity measurement function selection and data visualization
該軟體同時具有數據過濾、多種相似性度量選擇、聚類方法選擇和結果可視化等功能。 -
At first we improve the methods of iris image preprocessing, including an efficient arithmetic of evaluation iris images, an improving method of locating iris, calibrating iris image by the translation of coordinate and the circular shift of code, a eatimate of the background illumination by bicubic spline, and the image enhancement by the dual tree complex wavelet transform. next we designed the recognition arithmetic based on the location of the local maxima of the wavelet transform modulus. in the thesis lots of simulation are performed by means of matlab and visual c + +
首先改進了虹膜預處理方法，實現了一種快速高效的虹膜質量評價演算法;設計了一種改進的兩步虹膜定位演算法，準確的定位了虹膜的內外邊界;利用坐標轉換和編碼的循環移位實現了對虹膜圖像的配準;利用雙三次樣條函數擬合虹膜圖像背景，去除了非均勻光照對虹膜識別的影響;使用二分樹復數小波方法增強了虹膜圖像的對比度;在識別演算法方面，本文設計了一種「基於小波模極值點位置的虹膜識別演算法」 。 -
A method of face detection based on support vector machine ( svm ) is put forward. the features are extracted by applying the discrete cosine transform ( dct ) to the preprocessing image. the dct coefficients are inputted to the svm and the svm are trained using the cropped face samples and the " bootstrapping non - face " samples
對預處理后的圖像進行離散餘弦變換提取特徵，取dct系數作為支持向量機的輸入，將經過裁剪的「人臉」樣本與「自舉」方法得到的「非人臉」樣本一起用來訓練支持向量機。
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