線路傳輸群 的英文怎麼說

中文拼音 [xiànzhuànshūqún]
線路傳輸群 英文
line transmission group
  • : 名詞1 (用絲、棉、金屬等製成的細長的東西) thread; string; wire 2 [數學] (一個點任意移動所構成的...
  • : 1 (道路) road; way; path 2 (路程) journey; distance 3 (途徑; 門路) way; means 4 (條理) se...
  • : 傳名詞1 (解釋經文的著作) commentaries on classics 2 (傳記) biography 3 (敘述歷史故事的作品)...
  • : Ⅰ動詞1 (運輸; 運送) transport; convey 2 [書面語] (捐獻) contribute money; donate 3 (失敗) l...
  • : Ⅰ名詞(聚在一起的人或物) crowd; group Ⅱ量詞(用於成群的人或物) group; herd; flock
  • 線路 : 1. [電學] circuit; line 2. [交通運輸] line; route
  1. Ip voice gateway is a node between the communication control unit and the server of trunking system in trunking system network. its duty is digital compress coding and packetization of the voice in trunking system. it located on the edge of the network and accessed the trunking system into ip network from the kernel network angle

    語音網關作為集通信系統ip聯網的關鍵設備,它處于集系統話控制單元和集系統服務器之間,起著語音壓縮、分組的重要作用;從網的角度來看,它處于ip網和集通信系統之間,把集通信系統接入ip網
  2. Based on the timely summarization on a tm switch, in the thesis, we have detailed most of the scheduling strategy and improved switch structure relevant to input - queued switches, and by the overall analysis of the cell sending procedure, we presented a system model named time priority scheduling input - line group output with muti - channel model

    在人們對atm交換網系統模型綜述的基礎上,本論文綜述了入隊列atm交換的調度策略和各種改進的交換結構,並將時間優先級控制方式應用於結構出的交換機中,通過對信元送機理的分析,提出了優先級調度入一多通道出的系統模型。
  3. A group - key distribution protocol is designed which has the capability of self - recovery and coalition - attack - resisting, particularly suitable for highly lossy transmission environment such as wireless sensor networks

    摘要構造一個具有自恢復能力和抵禦合謀攻擊能力的組密鑰發布協議,該協議特別適合於高度易失環境,例如無感器網
  4. The traffic model and a suit of differential equations presenting the status of the system are given first, from which an objective function is derived, and then the transmission is optimally controlled by the neural network which is characterized by nonlinear map and the particle swarm optimization algorithm which is characterized by stochastic optimization, namely the neural network is employed to generate variable rate of token generation, and the particle swarm optimization algorithm with inertia weight is employed to optimally train neural network in the form of finding a sub - optimal resolution in acceptable computation time

    本文給出了控制的系統模型及其系統各狀態的差分方程表示,由此推導出了系統的代價函數。然後利用神經網的非性映射的功能和基於概率尋優的粒子優化演算法對系統進行優化控制,利用神經網控制令牌桶的可變令牌產生速率,利用帶慣性權重的粒子優化演算法對神經網的權值進行優化訓練,使其在可以接受的時間內達到次優解。
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