query feature 中文意思是什麼

query feature 解釋
查詢特點
  • query : n 1 質問；詢問；疑問，懷疑。2 敢問，請問〈在疑問句前單獨使用〉。3 【印刷】（打在原稿或校樣上的）...
  • feature : n 1 形狀，外形；特色；（特指）好看的外表；〈pl 〉臉形；五官；面目，容貌，面貌，相貌。2 臉面的一部...
  1. A fuzzy image data model and a concept of fuzzy space are proposed, in which model visual feature, spatial feature and semantic feature are used for super feature in order to utilize advantage of traditional relation database as well as characteristics of image data and fuzzy retrieval. based fuzzy space, a method of similarity measurement of image is presented to support fuzzy features - based image retrieval and satisfy user ' s query requirement for image. in the thesis, a semantic template and the mechanism of dynamic relevant feedback are defined so that it can express user ' s query semantic and improve retrieval precision and useable capability for image retrieval

    研究了模糊檢索方法和相關反饋機制在圖象檢索中的應用，提出了一種模糊圖象數據模型和模糊空間的概念，該模型將可視特徵、空間特徵、語義特徵看作超屬性，既充分利用了傳統關系數據庫的優點，同時又考慮了圖象數據以及模糊查詢的特點，文中提出的模糊空間和模糊相似性度量方法能支持基於模糊特徵的圖象查詢，較好地體現用戶圖象查詢的應用需求，文中定義的語義模板和相關反饋機制能在一定程度上表達用戶的查詢語義，提高圖象檢索的準確率和易用性。
  2. Retrieval spatial database by using the position of two point specified by user, complete the navigation automatically ; tracing and real - time display user current location depending on navigation map ; accomplish the query based on spatial relationship and property feature

    解決的問題有：根據用戶指定的任意兩點位置檢索空間數據庫，完成自動游覽；利用導航圖跟蹤和實時顯示用戶的當前位置；結合vrml與java技術完成基於空間關系特徵的查詢和基於屬性特徵的查詢。
  3. As far as model is concerned, the forth generation software should be characterized with spatial entity - oriented. the paper established the geographic spatial model based on the thinking of object - oriented ; studied the structure of the model " s elementary unit - - geographic entity ; brought forward the concept of geometric data type which characterize entity ' s spatial feature in the structure ; defined five kinds of geometric data types such as point, arc, area, composite arc, composite area ; and formalized their collective operation using hypergraph. at the end of this paper writer studied preliminarily the method of entity query and analysis based on the model

    本論文從面向對象的基本思想出發，建立了面向對象的地理空間模型；研究了地理空間模型中的基本單位? ?地理實體的結構，針對實體結構中用來表徵實體空間特性的組成部分? ?幾何對象，提出了其取值范圍，即幾何數據類型的概念；對點、弧、面、復合弧和組合面五種幾何數據類型進行了定義；並使用超圖工具對幾何數據類型的集合操作進行了形式化描述；對基於面向對象的地理空間模型的實體查詢和分析方法也做了初步研究。
  4. 3 、 chinese words divided syncopation technology is the difficulty of the query technique based on phrase. some divided syncopation such as mechanical matching method, feature phrase library method, restriction matrix method, syntax analysis method and comprehended syncopation method are emphasized

    對其中的幾種方法，如機械匹配法（即mm法） 、特徵詞庫法、約束矩陣法、語法分析法和理解切分法等做了詳細的比較和分析，並歸納出各自特點。
  5. Users can provide their query requirement in several different manners, the best retrieval result will be presented for the low - level feature and semantic network can cooperate properly

    在檢索的過程中，用戶可以通過多種不同途徑給出查詢條件，圖像的低層特徵與語義網路互為補充以達到最佳的檢索效果。
  6. The tableadapter wizard provides a query builder and data preview feature so that you can confirm query results right away

    Tableadapter向導提供了查詢生成器和數據預覽功能，使您可以立即確認查詢結果。
  7. Based on analyzing implement technology of the collaborative view, markup and query, the main research contents and creative ideas of the thesis as follows : firstly, a new method of model expression that can express geometry, feature and assembly mating conditions is proposed

    論文主要研究內容和創新點如下： 1 、研究了產品模型表達，提出了基於特徵的產品模型表達方法。此方法包含了零件幾何外形、零件特徵、裝配層次關系、裝配幾何約束關系等信息。
  8. 3. advancing a method to calculate weight of document feature item based on bp neural net the key technologies of information retrieval system are the followings : representation of document and user query ; query matching strategy ; correlation calculation of matching result

    提出一種基於bp神經網路統計文檔特徵項權重的方法信息檢索系統的核心技術主要包括三個方面的內容：文檔與用戶查詢的表示：查詢匹配策略；匹配結果的相關度計算。
  9. Based on the reference feature of object - relational data model and the query language, the join algorithm sort - loops, probe - loops and segment - join are proposed, their performance are analyzed and compared

    針對對象關系數據模型和查詢語言所支持的引用特性，設計了基於引用的連接演算法sort - loops 、 probe - loops以及segment - join 。
  10. This feature is supported in all editions of sql server 2005, except that automatic matching by query optimizer is supported only in enterprise edition and developer edition

    在sql server 2005的所有版本中都支持此功能，但只有enterprise edition和developer edition中才支持查詢優化器的自動匹配。
  11. Thirdly, researching data communication on network, data communication with socket and http protocol is proposed. reliability, real time, concurrency of message and model data is ensured. fourth, a new composite query method of local and long - distance, information of feature and geometry based on long - distance service of the cad software are implemented

    4 、研究了產品模型信息查詢技術，提出了本地與遠程相結合的混合式查詢框架，並在客戶端採用ug二次開發技術實現了基於遠程cad軟體應用服務的特徵和幾何信息的遠程查詢。
  12. In the case of data index, the paper generalizes several advanced data index at the present time and analyzes the feature of data index based on database emphatically. then it illustrates the spatial ordering quad - tree index based on database of gde. in the case of geographic data management, the paper studies and tests several primary technologies, such as data concurrent access, data storage, data query, data update and maintenance, data transmission and data buffer, and so on

    數據模型方面，在對常見的數據模型進行描述和分析的基礎上，提出了滿足海量數據高效存儲和管理的gde數據模型，通過實驗對數據的存放方式和效率進行了測試；數據索引方面，歸納總結了當前提出的較為先進的幾種數據索引方法，尤其是著重分析了基於數據庫的數據索引的特點，並對gde基於數據庫的可排序四叉樹索引進行了重點闡述；地理數據管理方面，對數據並發訪問、數據查詢、數據更新與維護、數據傳輸以及數據緩存等關鍵技術進行了闡述和實踐；地理數據訪問對象方面，介紹了採用面向對象技術設計實現的地理數據訪問類。
  13. In part 2, they test their assumptions against pilot content from a training course developed to support a component feature of ibm db2 query monitor, and then report their findings and suggest important next steps

    在第2部分中，他們使用為支持ibm db2 query monitor組件特性開發的培訓課程中實驗性內容檢查了自己的設想，然後報告了自己的發現，並對后續發展提出了重要的建議。
  14. For example, if you had the attributes " user priority " and " risk " for your feature requirement type, you could create the following query : " show me all the high - priority, high - risk features. " this could help you decide which features to implement in early iterations to ensure that you do not leave out important functionality and that you mitigate risk early in the project

    用這些工具你可以把需求按屬性排序，比如，假如你的需求類型特性里有「優先級」和「風險」的屬性，你可以建立這條查詢： 「顯示所有高優先級和高風險的特性。 」這有助於你在項目早期的迭代時就考慮哪些特性是需要實現的，確保你不遺漏重要的功能，在項目的早期就遏制住風險。
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