匯集型語言 的英文怎麼說

中文拼音 [huìxíngyán]
匯集型語言 英文
collective language
  • : Ⅰ動詞1 (匯合) converge 2 (聚集; 聚合) gather together 3 (通過郵電局、 銀行把款項劃撥到別處)...
  • : gatherassemblecollect
  • : 語動詞[書面語] (告訴) tell; inform
  • : Ⅰ名詞1. (話) speech; word 2. (漢語的一個字) character; word 3. (姓氏) a surname Ⅱ動詞(說) say; talk; speak
  • 匯集 : adductcollectcompile
  • 語言 : language
  1. First, according to different car - following situation, warning distance model and braking distance model are discussed detailed. then according to base function to be achieved, system plan is made, and based on this, design of applying circuit of needed power unit, information collection unit, warning unit and other units is finished. system control program is designed by mcs - 51 language

    根據不同的跟車情況對報警距離模和制動距離模進行了深入的探討;然後根據所要實現的基本功能,建立了系統方案,並以此為基礎,進行系統所需的電源、信息採、警報輸出及其它裝置的應用電路設計;用mcs - 51編制了系統控製程序;最後給出了模擬實驗的結果。
  2. In this paper, a lot of researches and exploration are applied to studying the universality and expansibility of hardware and the arithmetic design and code optimization of software. especially, all of the following arithmetics or conceptions are worked out in the research of software design : self - adaptable compression arithmetic based on dictionary model for data collection system, similarity full binary sort tree, a optimized quick search arithmetic and an improved arithmetic of multiplication in the floating - point operation. and all of the arithmetic are designed with mcs - 51 assembly language. the quick search arithmetic, in which merits of both binary search and sequence search are used fully, are based on the specialty of preorder traversal in similarity full binary sort tree

    特別在軟體設計研究中,提出了適用於數據採系統的數據壓縮演算法? ?基於字典模的自適應壓縮演算法;提出了類滿二叉排序樹的定義;提出了基於類滿二叉排序樹的先序遍歷特性的最優化快速查找演算法,它充分利用了折半查找和順序查找各自的優點;提出了浮點運算乘法的改進演算法;並在mcs - 51層次上對所有的演算法加以實現。
  3. This paper introduces the development process of wastewater disposal, it ' s auto control system, the level of nowadays and several new techniques of china and foreign countries. the immanent structure, control rules, main features and design methods of auto control systems in wastewater disposal process are studied in this paper. aiming at four typical parameters, such as temperature, dissolved oxygen, ph and the planes of water, the distributed control system is designed, composed by pc called epigyny computer and scm 8098 called hypogyny computer, and some sensors, shift deliver utensils and related meet orifices of parameters gathering and figures communication

    本文介紹了國內外污水處理及其自動控制系統的發展過程、當今水平和提高自動化程度的若干新技術;研究了污水處理自動控制系統的內在結構、控制規律、主要特點和設計方法;選取污水處理中的典參數溫度、溶解氧、 ph值和液位等為控制對象,設計了以個人計算機為上位機、以8098單片機為下位機,並輔之以傳感器、變送器及相關介面單元所構成的二級散控制系統( dcs ) ;介紹了幾個主要程序模塊的設計思路、工作過程,這些程序模塊是:用高級visualbasic6 . 0開發的上位機人機交互界面程序、數據處理和圖表輸出程序,用執行效率高的開發的下位機數據採與系統監控程序、上位機與下位機之間的數據通信程序,與vb之間的轉接程序,等等。
  4. To realize multi - strategy translation mechanism, process lexicon database, process model database, translation memory database and process sentence snippet database are established. to solve the disadvantage of searching example process sentences slowly, a novel method which associates key word with sentence model is put forward to establish coarse choosing model marshal. a mathematics model to compute similarity of two sentences is brought forward too

    2 、針對工藝多策略翻譯機制,設計了相應的四個翻譯基礎庫? ?工藝詞典庫、工藝句模板庫、翻譯記憶庫和工藝句片段庫;針對工藝實例句匹配搜索慢的缺點,提出了一種基於關鍵詞和句相結合的粗選實例模式;提出了一個計算句相似度的計算模,該模從總體和微觀兩個方面與從詞、詞性、詞性子類和片段四個層次來綜合考慮句相似度問題。
  5. In further research, the following issues must be considered : 1 ) the standardize of corpus ; 2 ) improve the accuracy of chinese words divided syncopation system, handle the different meanings of one word and recognize the words that do not appear in the dictionary ; 3 ) process semantic analysis ; 4 ) dynamically update the training sets fed back by the user ; 5 ) quantitatively analyze the system performance influenced by different factors, use an appropriate model to compare and evaluate the web text classification system ; 6 ) natural language process ; 7 ) distinguish the disguise of sensitive words

    在以後的工作中考慮如下問題: 1 )數據的標準化; 2 )分詞系統精度的提高,對歧義處理以及未登錄詞識別的能力的提高: 3 )進行合理的義分析: 4 )利用用戶反饋信息動態更新訓練; 5 )定t分析分類器不同要素對分類系統性能的影響,使用合適的模來比較和評價分類系統; 6 )自然理解問題,如「引用」問題; 7 )對于敏感詞偽裝的識別問題。
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