algorithm processing of data 中文意思是什麼
algorithm processing of data
解釋
數據的算術處理-
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 。 -
A study of data processing algorithm on field division in lsic pattern
版圖場分割數據處理的研究 -
Firstly, the mathematical method, wavelet transform of random error processing and kalman filtering algorithm of system error estimation, is designated ; the process of development of wavelet transform and its present research is recommended ; and, the definition and development situation of real - time data processing and post - flight data processing of trajectory measurement data is summarized briefly
首先指出了應用的數學方法，即處理隨機誤差的小波變換方法和估計系統誤差的kalman濾波演算法;介紹了小波變換方法的發展過程和國內外的研究現狀;綜述了彈道測量數據的實時數據處理和事後數據處理的概念和發展狀況。 -
According to the present status of studying the solar flare using gps, a new algorithm of processing gps data studying the solar flare is brought forward : after the instrumental bias has been determined, with the data of dual - frequency gps code and phase and navigation message, the vtec at the satellite ' s epp can be worked out
根據現在研究太陽耀斑的實際情況，提出了利用gps研究太陽耀斑的數據處理方法：利用雙頻觀測值確定出儀器偏差后，再利用碼和相位觀測值，結合導航電文就可以求出電離層交叉點的沿天頂方向上的電子總量vtec值。 -
In the thesis, the hardware design of anti - interference and software algorithm are two key issues about data acquiring and data processing of test system virtual instruments based, from the microcosmic view of test technique for resolving the concreted questions
硬體的抗干擾設計和軟體數字處理技術（包括演算法）是本文論述的在車載式制動性能測試系統中數據採集和處理涉及的兩個關鍵方面，是從測試方法微觀的角度考慮來解決實際問題。 -
In this thesis, we subsequently introduce the basic concepts of wavelet transform, especially the pyramidal algorithm and its fast realization - lifting scheme ; this scheme can decrease the time and space complexity of wavelet transform greatly. wavelet transform, the most perfect mathematical tool of signal processing theory, makes great success in the field of data compression. ezw and spiht are the milestones of wavelet image coding on the noiseless channels, and jpeg2000 adopts the ebcot algorithm
嵌入式零樹小波編碼（ embeddedzerotreewavelets ）和多級樹集合分裂演算法（ setpartitioninginhierarchicaltrees ）都是迄今為止最為優秀的理想通道情形下的小波編碼方案：而jpeg2000靜態圖像壓縮國際標準採用的是嵌入式碼流優化截斷塊式編碼演算法（ embeddedblockcodingwithoptimizedtruncationoftheembeddedbit - streams ） 。 -
Secondly, aiming at the characteristics of e - business, this paper studied the data cleaning step of data pre - processing and proposed new method of data cleaning which can improve the efficiency of association rule mining algorithm
本文針對電子商務環境的特點，研究了數據準備中的數據清理步驟，提出了新的可以提高挖掘效率的清理方法。 -
We can take dsp to realize fast encryption algorithm because of its highly parallelism, application - specific hardware logic, and application - specific instructions. pci transaction and dsp processing of data can take place simultaneously for its dual - access ram ( daram ) and host port interface ( hpi ). and, the time taken for interruption almost can be ignored because of deep buffer technology
Dsp具有高度的并行結構、專用硬體邏輯以及許多專用指令，可以實現快速加密演算法， dsp的雙訪問ram （ daram ）和主機并行介面（ hpi ）可以實現數據pci傳送和dsp處理同時進行，另外採用了深度緩沖技術，使花在主機中斷上的時間幾乎可以忽略不計，所以基於dsp的計算機數據加密卡pcijmc2000獲得了較高的處理速度。 -
In this thesis 2 - dimension fuzzy - control system with adjustable factors was analyzed and simulated using matlab as tool of data processing. genetic algorithm was used to search for the best adjustable factors
本論文用matlab作為數據處理工具，分析和模擬帶可調整因子的二維模糊控制系統；用遺傳演算法作為尋優演算法搜索最佳可調整因子。 -
Finally, analyzes and compares various algorithms of data processing, and the algorithm is emulated, study the effect which algorithm is to the measure parameters then expound algorithm which function added to window, use it to reduce the effect which algorithm is to the measure parameters
並對系統的硬體調試進行了總結；最後，分析比較了幾種數據處理演算法，並對演算法進行了模擬，分析了演算法對測量參數的影響，提出了用加窗的方法來消除演算法對測量參數的影響。 -
The order of our discussions " about these tasks is as follows : firstly, we pay more attention to the characteristics and difficulties of its environment including the concept, typical system model, main challenges, mobile network connection and soft application. secondly, according to mobile specialties of the environment we make the sort of data into four kinds : general data, time series, spatial data and time - spatial data, and present general processing of data mining. lastly, we discuss the methods of data mining of these four kinds respectively : after the introduction of the actuality of data mining of every kind, an algorithm of rule updating based on rough set is given, then put forward the processing of data related to mobile users and flow chat according to characteristics of the other three kinds
本文對以上任務的討論順序安排如下：首先是對移動計算環境的技術特點和難點進行討論，包括移動計算的概念和典型系統模型、主要挑戰、移動聯網以及軟體應用這幾個大的方面；其次根據移動環境的移動特性把移動計算環境中的數據分為普通數據，時間數據，空間數據以及時空數據，提出了在移動計算環境中數據挖掘的一般流程；接下來分別對這四類數據進行挖掘演算法的討論：每一部分都是先介紹該類數據的挖掘方法研究現狀，對于普通數據，針對我們已提出的一種挖掘演算法-粗糙集演算法（ rs ） ，提出了對應的規則更新演算法，對於後三種數據，本人根據其在移動計算環境中的特點分別提出了與移動用戶相關的該類數據的一種具體的處理方法和演算法流程圖，包括基於移位連接方法的多屬性時間序列的挖掘演算法，基於apriori演算法的空間關聯規則數據挖掘方法以及關于移動用戶移動模式的時空數據挖掘方法，並用matlab對其中的規則更新演算法和時間序列的挖掘演算法這兩方面進行了實例模擬。 -
In the next, we discuss the system of the meg - 1 layer i. the paper centers on the two kernel sub - parts : filtering coding and psychoacoustic model, do some research work in sub - band coding ( cbc ) theory and the relate theory such as quadrature mirror filter ( qmf ) and analyse sub - band filter ; also do research work in psychoacoustic theory especially the part related to the mpeg - 1 layer i. in the third chapter, introduce the ti tms320c6000 series dsps and their characteristics, also about the software development flow and the ti dsp / bios operating system of it. the forth chapter is the most important, firstly, according the algorithm flow in protocol, using c language validate the algorithm ; then, transplant and optimize the coding in dsp. in the processing of optimize, acording the assembler program characteristic of ti dsp, the paper put forward the analyse sub - band filter dsp optimization algorithm base on the eight spot idct. the algorithm has been optimize have greatly improved the work efficiency. make use of the technology of the dsp / bios host channels, data io pipe, software interrupt, we implement the musicam algorithm base on dsp / bios
論文首先對當前語音編碼技術的發展、分類以及mpeg系列音頻標準作了介紹；接著在第二章，給出了layer的musicam （ masking - patternuniversalsubbandintegratedcodingandmultiplexing ）演算法的系統組成，圍繞分析子帶濾波器和心理聲學模型兩個核心模塊，深入研究了子帶編碼工作原理、比特分配及子帶編碼中用到的正交鏡像濾波器和分析子帶濾波器；探討了心理聲學基本原理和mpeg . 1layer所用到的心理聲學模型。第三章對titms320c6000系列dsp作了簡介，介紹了6000系列dsp結構特點、 c6000dsp軟體開發流程和tidsp / bios操作系統。第四章是本文的重點，首先根據協議給出的演算法用標準c語言編程實現並調試通過。 -
To manage large - scale xml documents with complicated structure, this dissertation focus on the efficient structural indexing algorithm for xml data, result size estimation problem for xml structure based query optimization, result relevance ranking algorithm, and infrastructure for xml query processing for both text - rich and data - rich xml documents. to address the aforementioned issues, this dissertation makes the following contributions. first, it investigates the drawbacks of existing indexing algorithm for xml data, and propose a dynamic indexing algorithm for xml data based on d - bisimilarity, difx
為滿足結構復雜、大規模的xml數據管理需要，本文深入研究了xml信息檢索系統中的結構索引演算法設計和結構化查詢優化中的查詢代價估計問題，以及查詢結果和查詢條件間的相關度演算法，主要取得了4個方面的成果：第一，分析了已有的xml數據索引演算法中存在的問題，提出了一種高效的動態xml結構索引演算法difx ，它採用動態後向結構相似性（ d - bisimilarity ）的概念，可以根據實際查詢需求以及索引最優化的要求動態決定索引中保存的結構信息。 -
The system applies some key technology : 1. intelligent technology : including fuzzy - control algorithm, analogy expert system, self - diagnostics technology, and " pnp " technology for sensor ; 2. distributed system structure : with the help of pc, assistant functions such as the dada processing, the data printing and parameter configuration are completed. the mcs - 51 is used as a bottom computer, which can independently run, finishes the entire control task
該應用系統採用了以下關鍵技術： 1 ）智能化技術，包括模糊控制演算法、模擬專家系統、自診斷技術、傳感器的「即插即用」技術； 2 ）分散式的系統結構方式，以pc機為上位機，完成數據列印、數據處理、參數設置等輔助功能；採用mcs - 51單片機為下位機，完成全部控制功能，下位機可脫離上位機獨立工作。 -
To take the informationization of small - medium sized manufacturers as study object. this thesis analysis the state of its information construction, pointing out the problems, bringing forth effective methods on informationization and transformation. taking the make - to - order industry as the main study object, it exprouds how to apply concretely the manufacture control theory to such industry. and analyzes business data - processing of the system. and works out the key algorithm in sch control
本文以我國中小製造企業信息化為研究對象，分析了現狀，指出了存在的問題，提出了信息化建設和改造的有效措施；並以訂貨式企業為主要研究對象，討論了製造控制理論在該類企業的具體運用，分析了系統的業務數據流程，確定了計劃控制中採用的關鍵演算法。 -
There are two research works is involved in this thesis. first, an algorithm of data reconstruction in videos and images is proposed. base on this reconstruction technology, we developed the precept of layer coding in sender, the structure of data stream and the precept of post processing in receiver with analyzing the scheme of real time transmission of video in network
本文的研究工作包括兩個方面：首先提出了一種視頻與圖像中數據丟失的重建演算法，以此為基礎對基於網路的實時視頻傳輸方案進行了研究，提出了信源端分層編碼方案、數據流組織方案以及接收端後向處理方案。 -
This paper first illustrated some typical algorithms for large dataset, then gave off a processing diagram in common use second, for the dataset with large quantity and many attributes, we renovated the calculation method of the attribute ' s statistic information, giving off a ameliorated algorithm this thesis consists of five sections chapter one depicts the background knowledge and illustrates the position of data mining among many concepts also here is the data mining ' s category chapter two describes the thought of classification data mining technique, puts forward the construction and pruning algorithms of decision tree classifier chapter three discusses the problems of adapting data mining technique with large scale dataset, and demonstrates some feasible process stepso also here we touches upon the combination r - dbms data warehouse chapter four is the design of the program and some result chapter five gives the annotation the conclusion, and the arrangement of future research
本論文的組織結構為：第一章為引言，作背景知識介紹，摘要闡述了數據挖掘在企業知識管理、泱策支持中的定位，以及數據挖掘的結構、分類；第二章講述了分類數據挖掘的思路，重點講解了泱策樹分類器的構建、修剪，第三章針對大規模數據對數據挖掘技術的影響做了講解，提出了可採取的相應的處理手段，以及與關系數據庫、數據倉庫結合的問題；第四章給出了論文程序的框架、流程設計，以及幾個關鍵問題的設計；第五章對提出的設計進行簡要的評述，做論文總結，並對進一步的研究進行了規劃。 -
Incremental updating algorithm and parallel processing technology were used to raise the efficiency of data mining and reduce the time complexity
由於使用了增量更新演算法和并行處理技術，從而提高了數據挖掘的效率，降低了時間復雜度。 -
It includes parallel architectures, parallel software and parallel algorithm, etc. because the number of data in image processing is very huge, and the existence of convolution operation and matrix multiplication, it is possible that parallel algorithm design and implement can be used in image processing
并行處理技術領域非常廣泛，包括并行體系結構、并行軟體和并行演算法等。由於圖像處理過程中的數據量巨大，而且各種演算法中大量卷積運算和矩陣乘法運算的存在，就為圖像處理過程中的并行演算法設計和實現提供了可能。 -
Because the number of data in image disposal processing is very large, and the existence of many convolution operations and matrix multiplication operations in all kinds of algorithms, it is possible that parallel algorithm design and application can be used in image disposal processing
由於圖像處理過程中的數據量巨大，而且各種演算法中大量卷積運算和矩陣乘法運算的存在，就為圖像處理過程中的并行演算法設計和實現提供了可能。并行演算法的設計是為了提高圖像處理的速度，在有限的空間和時間處理更多的圖像數據。
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