頁式演算法 的英文怎麼說

中文拼音 [yèshìyǎnsuànfǎ]
頁式演算法 英文
paging algorithm
  • 頁 : 名詞（張） page; leaf Ⅱ量詞（面） page
  • 式 : 名詞1 （樣式） type; style 2 （格式） pattern; form 3 （儀式; 典禮） ceremony; ritual 4 （自然科...
  • 演 : 動詞1 （演變; 演化） develop; evolve 2 （發揮） deduce; elaborate 3 （依照程式練習或計算） drill;...
  • 算 : Ⅰ動詞1 （計算數目） calculate; reckon; compute; figure 2 （計算進去） include; count 3 （謀劃;計...
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  1. Then, we analyzed solutions of the major techniques of the distributed web crawler, such as how the nodes of the crawler cooperate with each other, how the task is distributed, how to keep the important web fresh. we have proposed some practicable arithmetic to solve the problems mentioned above. besides, we implemented a robust, distensible, customized, distributed web crawler, and anatomized it

    然後本文分析了分散式網路爬蟲的關節技術的解決方法，比如分散式的各個結點如何協同工作，任務如何分配，如何保持重要網頁的時新性等等，進而提出了一些實用的演算法，解決了這些分散式網路爬蟲的關鍵技術，實現了一個具備健壯性，可擴展性，可配置性的分散式網路爬蟲系統，並就該分散式網路爬蟲系統進行了仔細的剖析。
  2. In chapter 3, the push / pull pattern is gived out for the system realtime alarm. and the file interface of the alarm data, the algorithm of alarm position based on mapping and the algorithm of alarm icon position on the topological graph are designed. after explaining the principle of network software development using the windows socket, the push technology based on csocket is adopted to push alarm event and the pull technology based on http to pull the alarm page

    第三章，給出了實時告警的push pull模式，設計了告警數據文件介面、基於映射的告警點定位新演算法和告警圖標網路拓撲圖上定位演算法，給出了基於windowssocket進行網路應用開發的原理，採用基於csocket的push技術來實現告警事件的推送，利用傳統的基於http的pull技術來實現告警頁面的拉取。
  3. Additionally, a new address translation mechanism and related physical memory management algorithm are presented and analyzed, which hybrid the segment and segment - page addressing. object - oriented instructions are one of the features of jvm instruction set

    另外，文中還提出了一種直接段式和間接段頁式結合的尋址策略和地址轉換技術以及相關物理存儲器的管理演算法，並對這些技術進行了全面的性能評價。
  4. According to specified application, tcolormodel is utilized to design adevice independent osd module, and rectangle and region algorithm combined withimage representation is utilized to avoid flicker of displaying pages, further more, stack allocator is chosen to improve the efficiency of memory allocation

    結合實際的應用需求，提出了基於顏色模型的設備無關osd模塊，並進一步提出基於矩形和區域的優化演算法防止頁面跳轉產生的閃爍，採用棧式內存管理方法來提高內存分配效率。
  5. Shall not use any " robot, " spider ", " crawler " or other automated device, or a program, algorithm or methodology having similar processes or functionality, or any manual process, to monitor or copy any of the web pages, data or content found on this site, in any case without the prior written permission of the operator or zuji properties

    如未得該經營商或zujiproperties事前書面準許，您不得使用機器人、蜘蛛、爬動或其他自動化裝置，或具有類似程序或功能的程式、演算法或方法或任何人工程序，作為監察或復制本網站出現的任何網頁、數據或內容。
  6. This essay first dicussed the key steps of preprocessing in web log mining, which include data abstract, data cleaning, user and session identification and path completion etc. especialy we proposed the algorithm of the web log data preprocessing include frame page. and secondly we discussed the technology of building an adaptive web site, include log data cluster mining, user visiting pattern learning, site structure transformation and presentation etc. ; and we proposed indual user log visiting pattern, user model onling learning algorithm, index pages synthesising algorithm, site structure transformation and presentation algorithm and so on

    本論文首先討論了web日誌挖掘預處理中的各步驟：數據抽象、數據清洗、用戶與會話識別、訪問路徑補全，給出了每一步驟的演算法實現；並特別討論了含有frame頁的日誌數據預處理過濾演算法。其次討論了構建自適應站點技術，包括日誌數據聚類挖掘、用戶訪問模式學習、站點結構轉化與呈現等；提出了單用戶日誌訪問模型，給出了用戶模型在線學習演算法、索引頁面綜合演算法、站點結構轉化及呈現演算法等。
  7. Based on the survey of current intelligent search engine, combined with reinforcement learning technique, the characteristic of similar web pages " distribution is used to present a heuristic search algorithm based on simulated annealing

    網路蜘蛛是智能搜索引擎中首先需要解決的問題。本文利用web網頁分佈群聚性的特點，結合鞏固學習方法，提出了一種新的啟發式搜索演算法。
  8. Online algorithm and amortized analysis techniques are used to analyze the web page, and we establish sample selection rules to choose the hyperlink, and then the learned hyperlink mode is expressed in the form of regular expression, at last, we see whether the hyperlink mode matches all the hyperlinks to obtain the efficient hyperlink

    首先利用在線演算法與平攤分析對鏈接頁面分析，其次制定了樣本選擇規范對鏈接樣本進行選取，而後將學習到的鏈接模式表示為正則表達式，最終將鏈接模式與頁面所有鏈接進行匹配，獲得主題鏈接。
  9. After analyzing typical text information extraction inductive algorithms based on wrapper model, making use of the important features of the pages, such as annotations and text pattern features, an inductive algorithm is proposed using wrapper model for information extraction. the new algorithm can add the annotations to the state sets of rule ’ s finite state machine, so it can effectively reduce the time spending on search, and can also accurately locate the target information ; the learned text pattern can be used to filter out the un - interrelated extracted information

    在分析了基於包裝器模型的文本信息抽取典型歸納學習演算法的基礎上，利用頁面的一些重要特性，例如注釋和文本模式信息，提出了一種新的歸納學習演算法，新演算法將注釋信息加入到抽取規則的有限狀態機的狀態序列中，從而能有效地降低演算法搜索時間，並能對目標信息進行充分的定位;並且新演算法能用學習到的文本模式信息對抽取結果進行必要的過濾。
  10. What is more, based on the computing model of the finishing time per piece of flow shop scheduling in the parallel movement, the paper analyzes the subordinate function of its finishing time per piece in respective conditions of definite due date and fuzzy due date, and mutual relationship of two objective functions between minimization of delayed term and maximization of general satisfaction, pointing that the former is the subset of the latter. and representing the satisfaction level of the manager toward finishing time of the piece with the subordinate function of fuzzy due date, making general satisfaction level as objective function, the paper accordingly sets up a mathematical model in the condition of fuzzy due date, and designs a computer simulating system in light of genetic algorithm to carry on an emulation experiment

    在平行順序移動方式下flowshop調度問題的工件完工時間的計算模型基礎上，分析了帶固定交貨期和模糊交貨期時該問題的工件完工時間的隸屬函數，及總拖期最小化和總滿意度最大化這兩個目標函數的相互關系，指出前者西南交通大學博士研究生學位論文第頁問題是後者問題的一個子集，用每個工件模糊交貨期的隸屬函數表示決策者對該工件完工時間的滿意度，以總滿意度為目標函數，相應地建立了該問題下帶模糊交貨期的數學模型，設計了一個基於遺傳演算法的計算機模擬系統進行模擬試驗，結果是令人滿意的。
  11. Firstly, the paper introduces the main theoretics and technologies of the web information retrieval. then it applies the spider to realize the information gathering. according to characteristic of uighur language, using uighur stemming based on table searching regular and arithmetic of the combined mode, uighur text segmentation is realized ; using vector space model, the paper switches uighur text information into structured data ; and appling clustering analytical method, these structured text is clustered

    本文首先分析了web信息檢索的主要理論基礎和關鍵技術，然後利用spider信息採集技術，實現了信息檢索的源信息採集;根據維吾爾語詞的特點，利用詞干表查找的維文詞干提取演算法和結合模式的維文詞語組合演算法，對維文網頁文本進行詞特徵表示;採用向量空間模型實現文本信息的結構化表達;使用聚類分析法，對結構化文本信息進行聚類，得到文本分類結果。
  12. The research area covered by the thesis includes embedded system design, hardware infrastructure of embedded gis system, architecture of nand flash, error detect code / error check code and there algorithm, journal file system, gis file index, wear leveling for nand flash, file system page cache and write delay, dynamic compression in file system etc. first, the thesis first analysis the embedded gis status in quo, technology background, difficulty it facing

    本文研究領域涉及嵌入式系統開發、嵌入式gis系統軟硬體框架、 nand晶元體系結構、差錯檢測差錯校驗（ edc ecc ）演算法、日誌文件系統、文件索引、晶元擦寫平衡、文件系統頁面cache與延遲寫技術、文件系統實時壓縮等技術。
  13. There are two ways of retrieving information, one is off - line data mining, namely, to the html web, we can change the semi - structural data into structural data by the technology of retrieving information and store it into the traditional database, then knowledge will be discovered by the varied database - based algorithms ; the other is on - line data mining, that is to combine the technology of retrieving information from web and the algorithms of data mining, then to retrieve knowledge directly

    本文討論了對于html頁面，利用信息提取技術，將半結構化數據轉化為結構化數據，存儲于傳統的數據庫中，利用基於數據庫的數據挖掘演算法提取有用的知識，這是一種離線式web數據挖掘方式；另一種是在線方式，將web信息提取技術與數據挖掘演算法結合為一體，直接對提取的數據進行挖掘。
  14. Through close and open cycle tests, the results of experiment show that, this method can improve the correct recognition rate of correlative web pages to upward of 90 % with little decline in efficiency, which is superior to the former one ? probability distributing algorithm. it is supposed to have a good application prospect

    經過閉式和開式測試，本方法在進行大量語料訓練后可以使相關網頁的識別準確率達到90以上，比原有的概率分佈演算法有了明顯的提高，而在演算法效率方面基本與原有的演算法相當，顯示出其相當的實際應用價值。
  15. Recognize the current focused topic of interests to the active user as his navigational pattern. define the page recommendation ranking function, considering that whether a page has been visited by active user in his current session should be distinguished among pages to be suggested. design and implement a recommendation algorithm with high accuracy and low time

    4 .確定當前用戶感興趣的主題為該用戶的訪問模式;將候選推薦集中的web頁面是否已被當前用戶訪問過所帶來的推薦權值差異考慮其中，確定最終的推薦函數;設計並實現具有較高精確性及較低時間復雜度的推薦演算法。
  16. Ccss is a compressed storage system by column. it adopts different storage structure and encoding algorithms to compress the attribute by column - wise with different granularity

    本文詳細介紹了rcss的壓縮存儲結構（包括編碼字典和壓縮數據頁的格式、系統字典的擴充）以及具體的壓縮、插入和刪除演算法。
  17. The structure recognization of web table can be processed by two phases. first we need to filter out those non - genuine tables which is uesd not for relational information display but for creating any type of multiple - column layout to facilitate easy viewing. according to lots of observations to tables in web pages, the features are identified which best capture the characteristics of the genuine table compared to a non - genuine one, and then get the heuristic rules. based on these rules, algorithms are designed and implemented to evaluate the performance, as measured by ie evaluation metrics - recall, precision and f - measure. the result show that the performance of our algorithms is not less effectively than others

    首先從紛繁復雜的web頁面中濾去那些用於控制頁面結構而不是表達有效數據信息的「假表格」 。本文通過大量的觀察，提取出識別真假表格的特徵信息，形成啟發式規則;在此基礎上設計並實現一系列演算法;最後通過傳統的信息抽取指標? ?召回率、準確率和f指數來衡量識別結果。實驗顯示，本文的演算法有較強的表格識別能力。
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