輸入節點狀態 的英文怎麼說

中文拼音 [shūrùjiédiǎnzhuàngtài]
輸入節點狀態 英文
input node state
  • 輸 : Ⅰ動詞1 （運輸; 運送） transport; convey 2 [書面語] （捐獻） contribute money; donate 3 （失敗） l...
  • 入 : Ⅰ動詞1 （進來或進去） enter 2 （參加） join; be admitted into; become a member of 3 （合乎） conf...
  • 節 : 節構詞成分。
  • 點 : Ⅰ名詞1 （液體的小滴） drop （of liquid） 2 （細小的痕跡） spot; dot; speck 3 （漢字的筆畫「、」）...
  • 狀 : Ⅰ名詞1 （形狀） form; shape 2 （情況） state; condition; situation; circumstances 3 （陳述事件或...
  • 態 : 名詞1. （形狀; 狀態） form; condition; appearance 2. [物理學] （物質結構的狀態或階段） state 3. [語言學] （一種語法范疇） voice
  • 輸入 : 1 （從外部送到內部） import 2 [電學] input; entry; entering; in fan; fan in; 輸入變壓器 input tra...
  • 節點 : [電學] panel point; hybrid; packing; node; nodal points; joint of framework; pitch point; point pitch
  • 狀態 : status; state; condition; state of affairs: （病的）危險狀態 critical condition; 戰爭狀態 state o...
  1. This specific view becomes the tip of our designing ; the energy consumption has great relation with the rf module, which is breakpoint of the ebra ( energy - based radius self - adjust wireless sensor network protocol ). based on the facts between the energy consuming and the rf transferring radius, the ebra protocol is designed and implemented under the visual c + + 6. 0 ide, which switches its running mode with the energy consuming of nodes, so that meet the goal of energy saving of the nodes in wsn

    本文正是從這一視角入手，根據結點能量消耗與無線傳輸發射半徑間的關系，設計並實現了一種基於能量的半徑自適應傳感器網路路由協議，使得節點能夠根據自身剩餘能量的狀況對節點的運行模式進行控制，同時對無線模塊的收發半徑進行動態調整，達到節能目的。
  2. To analyze some key technologies of optical network relative with rwa in detail, such as transmission, switching and internetworking ; to emphasize on the research of function, fabric and performance of optical cross - connection ; to carry out numerical simulations for crosstalk introduced by optical cross connect and to present measurements for suppressing it such as doubly filtering, fixing optimum decision threshold and appropriately choosing the number of multiplexed wavelengths ; 3. to research the fundamental principle and some problems relative with rwa, including the type of optical network, the type of traffic, the type of service, the survivability of optical network ; to classify and compare rwa algorithms and particularly research some dynamic rwa algorithms ; 4. to present reserved light - path and classify network resource such as used, unused and reserved status, to emulate establishment of all - optical connection in optical network through modified rwa algorithm and show effectively reducing setup time of all - optical connection utilizing reserved light - path ; to research rwa algorithms of multi - fiber network, to present new link weight functions dependent on node degree, unused fiber ( s ) per wavelength - layer and routing policies, to perform emulation of rwa based wavelength layer graph applying new link weight functions and show them make algorithms better performance and network lower blocking rate ; 5

    詳細分析了與rwa相關的光網路關鍵技術，包括傳輸、交換、組網等，重點研究了光交叉連接的功能和結構、性能，對其引入的串擾進行了詳細分析，選擇恰當的器件參數進行了數值模擬，並提出了抑制措施（如雙重濾波、優化判決門限、選擇恰當的復用波長數） ; 3 .研究了光網路的r認叭的基本原理、與r認叭的幾個相關問題（光網路類型、業務類型、流量類型、光網路生存性） 、 r認人演算法的分類和比較，具體研究了幾種動態r場人演算法; 4 .研究了以全光連接建立時間為優化目標的r認認演算法，提出預置光路的概念，對網路資源進行狀態分類（佔用、未佔用、預置） ，利用改進的r認叭演算法模擬，預置光路可為部分新到的連接請求快速建立連接，從而提高網路性能;研究了以多光纖網路連接阻塞率為優化目標的r認城演算法，提出了以節點度數、每個波長分層的空閑光纖數以及路由策略決定的幾種鏈路權重函數，利用基於波長分層圖模型的并行r場人演算法模擬，利用新的鏈路權重函數使得演算法具有更優的性能，使網路具有更低的連接阻塞率。
  3. The glitch may, in turn, reduce the relative magnitude, causing the output node of the input inverter to switch states

    此干擾脈沖反過來又減小（輸入信號）的相對幅度，造成輸入反相器的輸出節點改變狀態。
  4. With bringing in the state predicates and transition event constants, the key problem of how to depict the asynchronous node can be resolved

    文法中引入傳輸事件常量與狀態謂詞侶tatepredicates ）解訣了異步節點的rtl文法描述問題。
  5. This network can be summarized as follows : ( 1 ) about the networks " architecture, it is not fully connected but it uses selective connection between the units of two hidden layers. the number of these units is determined dynamically. ( 2 ) during the learning procedure, a new input - output clustering ( ioc ) method is adopted to select centers

    該網路主要有以下特點： （ 1 ）網路結構上，兩層隱層選擇性連接，隱層節點數在學習過程中動態確定； （ 2 ）學習規則上，提出一種同時考慮輸入輸出樣本信息的輸入一輸出聚類（ input - outputclustering ， ioc ）方法，且聚類中心的形狀參數自適應變化。
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