How to configure Asterisk in a Linux OS, to manage a VoIP NETWORK.
標簽： configure Asterisk NETWORK manage
上傳時間： 2017-09-28
上傳用戶：a6697238
ı t is about transport layer for NETWORK lessons
標簽： transport NETWORK lessons about
上傳時間： 2017-09-28
上傳用戶：ljmwh2000
Using Radial Basis Probabilistic Neural NETWORK for Speech Recognition
標簽： Probabilistic Recognition NETWORK Radial
上傳時間： 2014-01-12
上傳用戶：fxf126@126.com
A routing scheme for content based NETWORKing. Content-based NETWORK is a NETWORK which does nt make use of the source or the destination address to forward a message. This NETWORK is quite different from the traditional NETWORK.
標簽： NETWORK Content-based NETWORKing routing
上傳時間： 2013-11-25
上傳用戶：lizhen9880
大名鼎鼎的《NETWORK Programming for Windows》教材聽說過吧？這就是此書的配套源碼，希望你喜歡。
標簽： Programming NETWORK Windows Source for
上傳時間： 2016-05-18
上傳用戶：sz_zhouyl
Cognitive radio has emerged as a promising technology for maximizing the utiliza- tion of the limited radio bandwidth while accommodating the increasing amount of services and applications in wireless NETWORKs. A cognitive radio (CR) transceiver is able to adapt to the dynamic radio environment and the NETWORK parameters to maximize the utilization of the limited radio resources while providing flexibility in wireless access. The key features of a CR transceiver are awareness of the radio envi- ronment (in terms of spectrum usage, power spectral density of transmitted/received signals, wireless protocol signaling) and intelligence.
標簽： Cognitive Wireless NETWORK
上傳時間： 2020-05-26
上傳用戶：shancjb
Coverage of routing techniques in various wired and wireless NETWORKs is the unique proposition of this book. Routing protocols and algorithms are the brains of any NETWORK. The selection of topics in this book is clear: we attempt to explain routing in its entirety, starting from fundamental concepts, then moving through routing on the Internet, and finally cutting across the recent‐day cellular, ad hoc, and wireless NETWORKs.
標簽： Fundamentals Applications NETWORK Routing
上傳時間： 2020-05-31
上傳用戶：shancjb
I would like to thank you for purchasing the second edition of “Industrial NETWORK Security,” especially if you are one of the many supporters of the first edition. When the second edition was announced, many people asked me, “why a second edition?” and even more followed that up with, “and why a coauthor?” These ques- tions are harder to answer than you would think.
標簽： Industrial Security NETWORK
上傳時間： 2020-06-07
上傳用戶：shancjb
This book is based on a Ph.D. research that has been conducted at the Delft University of Technology in the Netherlands in collaboration with Dutch Electricity & Gas Distribution NETWORK Operator, Stedin. This book was written as a result of wider interest that was shown by different industry groups on this topic after its public defence. This inspired the author to modify and publish a practical version of the research for a greater international audience. Therefore, the content of this book is intended for a double audience, on the one hand for those interested in the organisational and management aspects of maintenance.
標簽： Maintenance Electricity Risk-Based NETWORK for
上傳時間： 2020-06-07
上傳用戶：shancjb
本文擬借助于神經網絡良好的逼近能力，實現永磁同步電機的無位置傳感器控制。 人工神經網絡(Neural NETWORK)可以逼近任意復雜非線性映射，具有很強的自學習自適應能力，十分適合于解決復雜的非線性控制問題。其中，BP神經網絡是目前廣泛應用的神經網絡之一，得到了較為深入的研究，其結構簡單，需要離線確定的參數少、泛化能力強、逼近精度高、實時性強，采用BP神經網絡實現永磁同步電機的調速控制具有重要意義。 文中提出了基于BP神經網絡的永磁同步電機自適應調速控制策略，建立了一種包含辨識網絡和控制網絡的雙神經網絡結構控制系統。辨識網絡在線動態辨識系統輸出并對控制網絡參數進行調整，控制網絡與PI控制方法相結合實現永磁同步電機自適應轉速控制。仿真結果表明，該系統動態響應快、實時性較強、精度較高。 文中提出了一種基于混合訓練算法的BP神經網絡永磁同步電機無位置傳感器控制方法。采用混沌優化和梯度下降法相結合的混合算法對BP神經網絡進行離線訓練后，將其用于永磁同步電機的轉子位置角在線估計。結果表明，該訓練算法可以有效地加快神經網絡收斂速度，且估計的轉子位置角誤差較小、精度較高。 文中建立了以TMS320F2812芯片為核心的永磁同步電機調速控制系統，并進行了相應的軟硬件設計，為實現永磁同步電機的各種控制策略奠定了實驗基礎。DSP控制系統為神經網絡訓練提供樣本，為研究永磁同步電機的自適應調速控制和轉子位置角估計創造了條件。
上傳時間： 2013-05-23
上傳用戶：1101055045
