retrieval and use of information 中文意思是什麼

retrieval and use of information 解釋
信息檢索與利用
  • retrieval : n. （可）取回，（可）恢復，（可）挽回；（可）修補，（可）修正，（可）更正；（可）彌補，（可）補償。 beyond retrieval 不能補救的，不能挽回的。
  • and : n. 1. 附加條件。2. 〈常 pl. 〉附加細節。
  • use : n 1 使用，利用，應用；使用的機會[需要]。2 使用的能力。3 使用的自由，使用權。4 使用法。5 用途；效...
  • of : OF ＝Old French 古法語。
  • information : n. 1. 通知，通報，報告。2. 報導，消息，情報。3. 資料，知識，學識。4. 【自動化】信息，數據。5. 【法律】起訴，告發。adj. -al
  1. In order to improve the existing methodology of carpool information retrieval, on the basis of the region to region algorithm and by the use of the graph theory, an algorithm based on traffic network and its complexity analysis were presented

    低效率的信息交流方式制約了合乘出行方式的發展，針對現有合乘信息檢索方式的不足，在區域區域匹配演算法的基礎上，引入圖的概念，提出了一個基於交通路網的路徑匹配演算法，並給出了演算法復雜度分析。
  2. 3. as there are up to 106 managed objects on element level of tmn ( telecommunications management network ) in telecommunications network, and the scheme to collect management information affects the performance of network management, a new algorithm - saa ( self - adaptive algorithm ) used for retrieving multi objects information has been put forward in this thesis. saa can adjust the retrieving objects and interval of retrieval self - adaptively by using the schemes of self - adaptivity, fault tolerance, recognition status of object dynamically etc., and thus can use fewer network resources without alteration of snmp ( simple network management protocol ), iiop ( internet inter - operability protocol ) or cmip ( common management information protocol )

    針對傳統的定時提取網路管理信息方法的不足，提出了一種提取多管理對象信息的新演算法? ?自適應演算法saa （ self - adaptivealgorithm ） ，該演算法能在不改變管理協議，如iiop （ internetinter - operabilityprotocol ） 、 snmp或cmip （ commonmanagementinformationprotocol ，公共管理信息協議）的情況下，採用自適應策略、容錯策略、動態識別被管對象狀態策略、被管對象存儲空間的動態刷新策略，根據本次訪問被管國防科學技術大學研究生院學位論文對象所得出的網路通信量，自適應地調整下次應該訪問的被管對象和讀取被管劉?象數據的時間間隔，從而可以較少地消耗所用的網路帶寬和cpu資源。
  3. This will improve the efficiency of record retrieval significantly since information can be accessed easily by multi - users simultaneously, setting aside the need to prepare duplicate copies. the use of file jackets, minute sheets, a4 size paper, file index cards and log books will be greatly reduced

    由於多名使用者可以輕易地同時閱覽資料，故能顯著提升翻查紀錄的效率，不必再存備復本，而文件夾錄事頁a 4紙檔案索引卡及紀錄冊的使用量將可大為減少。
  4. In addition to the volume of information is large, and in fast retrieval, digital libraries is felt that the means and methods to obtain information still similar to the traditional library " computer bibliographic " and " contains book, " this modern it knowledge level of awareness of library services also require far. knowledge library is the extension of digital library, it is the use of

    本文系統研究了知識圖書館及其知識組織的相關理論，在現有的圖書分類主題法的基礎上，提出了知識圖書館的知識組織模式，即利用本體論和知識空間模型對圖書資料進行拆分，產生知識子集，然後使用xml對知識子集進行組織、存放的知識圖書館的知識組織模式。
  5. Based on the archives management and use situation, the technologies of automatic identification, storage and fetch are discussed. combined with storeroom state inspection, control and archives information management etc, the whole automatic process, which includes information retrieval, archives transmission, storage and fetch, is studied and designed

    本論文針對檔案管理及使用的現狀，著重研究討論了檔案的自動識別與自動存取技術，結合檔案庫房的狀態檢測與控制以及檔案信息管理等問題，研究設計從檔案信息檢索、檔案傳輸直至檔案存取全過程自動化的檔案庫系統。
  6. Based on the above - mentioned analysis, we use the theoretical knowledge of project management to elaborate the various possibilities to resolve the problems, and then put forward effective countermeasures, which include analyzing the competition strength of retapase in the biopharmaceutical industry ; evaluating the resources of the fdzj company and its competition strength by using the swot analysis method, collecting the market information by questionnaire survey, interview and document retrieval of domestic and internal literatures. after this, we predict the market requirement and the price of the rctapasc and propose to set up a project management team which can control the r & d, production, sales, finance and affair communicating personnel systematically

    本文在深刻剖析上述問題的基礎上，運用項目管理方面的理論知識，充分闡述問題的解決方案，給予了有效的對策。其中包括：項目行業與競爭力分析，運用swot分析法評估公司資源和競爭能力，通過書面調查、訪談及查閱國內外相關文獻等方式收集市場信息，在此基礎上，進行項目的市場需求量預測，價格預測。成立集研發、生產、銷售、財務及公關人才於一身的項目團隊管理項目，並採用強矩陣結構，集合直線制與職能制的優勢，對全體員工實行股份期權激勵，使員工利益與項目形成命運共同體。
  7. This thesis analyses the existing concept - based retrieval systems, based on this introduction, and puts forward a concept retrieval system based on synonyms recognition. automatic recognition of synonyms plays an important role in concept - based information retrieval. based on the analyses of the synonyms recognition, we use the similarity degree among the words to recognize synonyms, and mining a lot of multiple synonyms

    同義詞的自動發現和識別在基於概念的信息檢索領域有著重要的研究意義和應用價值，本文對國內和國外同義詞識別演算法進行研究和分析的基礎上，對基於語義體系的同義詞識別演算法，即基於《同義詞詞林》的同義詞識別演算法和基於《知網》的同義詞識別演算法進行了深入的研究，利用詞匯間的語義相似度度量來進行同義詞識別，挖掘出大量的復合詞形的同義詞。
  8. 4. to decrease the usage of network resources by network management systems even more, combined with the fact that the performance of network management is affected by the scheme to collect management information, a new algorithm - gpa ( group - prefetching algorithm ) has been put forward used for retrieving management information from the element level in heterogeneous wan ( wide area network ). gpa can adjust many little retrieving objects into one prefetching group to access by using the schemes of group prefetching, objects of group changed self - adaptively, fault tolerance etc., and thus can decrease the frequency of retrieval, use fewer network resources and decrease the network overhead without alteration of iiop, snmp or cmip too

    4 .為進一步減少網路管理系統對網路帶寬的佔用，結合被管對象信息的收集策略直接影響網管系統性能的特點，針對異構大型網路環境下多管理對象的信息收集問題，提出了一種提取多管理對象信息的新演算法?組預取演算法gpa （ group一prefetehingalgorithim ） ，該演算法同樣能在不改變管理協議，如iiop 、 snmp或cmip的情況下，採用組預取策略、組對象自適應擴充策略、組對象自適應收縮策略、容錯策略等，將多個分散的、處于相同或不同被管設備上的、在未來一段時間內的管理對象的訪問組合在一個預取組中進行訪問，減少對管理對象的訪問頻度，從而可以較少佔用網路資源，減小整個網路開銷。
  9. It can monitor the process of user browsing the web, record the web content which user visited and user " s feedback, then analyze and deal with the data, build user " s personal ontology, so to implement personal navigation service using it ; it provides an interactive interface according to domain ontology, user can use it to learn and build his her personal information need, so to implement personal retrieval service

    原型系統能實時監視用戶瀏覽過程，記錄用戶訪問過的web內容和用戶反饋，分析處理並建立用戶的個性化本體，實現個性化導航服務；根據領域本體提供一個交互界面供用戶學習並構建自己的個性化信息需求，實現個性化檢索服務。
  10. Content - based image rrtrieval ( cbir ) is a kind of retrieval, which derictly use content of an image for information search, it is one of most active researches in multimedia retrieval field. in order to analysis the informations included in an image, the cbir system always ultilize the color, texture, shape and other low level image features. to establish the feature vectors as retrieval index. in present time, the main cbir method is similiarity search based on multi - dimension feature vector of image

    基於內容的圖像檢索（ cbir ， content - basedimageretrieval ）是指直接採用圖像內容進行圖像信息查詢的檢索。基於內容的圖像檢索技術是當前多媒體檢索研究的熱點之一。基於內容的圖像檢索方法，其主要思想是根據圖像所包含的色彩、紋理、形狀以及對象的空間關系等低層圖像特徵來分析圖像信息，建立圖像的特徵矢量作為其索引，檢索方法目前主要是根據圖像的多維特徵進行相似查詢。
  11. To promote information service ability of digital libraries, a browsing and searching personalized recommendation framework based on the use of ontology is described, where the advantages of ontology are exploited in different parts of the retrieval cycle including query - based relevance measures, semantic user preference representation and automatic update, and personalized result ranking. both the usage and information resources can be exploited to extract useful knowledge from the way users interact with a digital library. through combination and mapping between the extracted knowledge and domain ontology, semantic content retrieval between queries and documents can be utilized. furthermore, ontology - based conceptual vector of user preference can be applied in personalized recommendation feedback

    為了提高數字圖書館信息服務的能力，描述了一個基於本體的用戶瀏覽和搜索個性化推薦系統框架.該框架將本體的優點應用於檢索周期中，包括提問相關測度、語義化的用戶興趣表達和自動更新、以及個性化的檢索結果排序等.在用戶訪問數字圖書館的交互過程中，可通過本體來構造用戶提問和文檔內容的匹配機制以實現語義化的內容檢索，並可進一步使用本體來構造用戶興趣偏好的概念向量以實現面向用戶的個性化推薦反饋
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