亚洲欧美第一页_禁久久精品乱码_粉嫩av一区二区三区免费野_久草精品视频

蟲蟲首頁| 資源下載| 資源專輯| 精品軟件
登錄| 注冊

Network-centric

  • 1. Learning NS Website (中文

    1. Learning NS Website (中文,有介紹Unicast Routing) 2. 華玄明網際網路實驗室 - NS2 討論區 (臺灣NS2討論區) 3. NS仿真軟件 (中國大陸NS2討論區) 4. The Network Simulator: Contributed Code (一些研究人員所貢獻的程式碼,這些程式碼並沒有包含在NS2原本的程式碼內) 5. The Network Simulator: Building Ns (介紹如何安裝NS2) 6. NsNam Site Search (有關於NS和NAM的搜尋引擎)

    標簽: Learning Website NS

    上傳時間: 2016-11-03

    上傳用戶:huangld

  • C++實現神經網路的bp算法

    C++實現神經網路的bp算法,初學者可以參考下 BP algorithm of neural network s achievement based on c++, maybe it is useful to a new learner

    標簽: 網路 算法

    上傳時間: 2016-11-06

    上傳用戶:aa17807091

  • DTNSim2 is a simulator for Delay-Tolerant Networks (DTNs) written in Java. It is based on Sushant Ja

    DTNSim2 is a simulator for Delay-Tolerant Networks (DTNs) written in Java. It is based on Sushant Jain s DTNSim, which was used for the Routing in a delay tolerant network paper. It has been exensively modified.

    標簽: Delay-Tolerant simulator Networks DTNSim2

    上傳時間: 2016-11-06

    上傳用戶:tianyi223

  • DYMOUM is an implementation of the DYMO (Dynamic Manet On-demand) routing protocol both for Linux ke

    DYMOUM is an implementation of the DYMO (Dynamic Manet On-demand) routing protocol both for Linux kernel and ns2 network simulator, written in C and C++.

    標簽: implementation On-demand protocol Dynamic

    上傳時間: 2016-11-07

    上傳用戶:tianyi223

  • 微電子技術、計算技術和無線通信等技術的進步

    微電子技術、計算技術和無線通信等技術的進步,推動了低功耗多功能傳感器的快速發展,使其在微小體積內能夠集成信息采集、數據處理和無線通信等功能。無線傳感網絡(wireless sensor network, WSN)就是由大量部署在監測區域內的這類傳感器節點組成,通過無線通信的方式形成的一個多跳的自組織的網絡系統,從而協作的感知、采集和處理網絡覆蓋區域的監測信息,并發送給觀察者。無線傳感網絡技術將是21世紀最有發展前景的技術之一。本文在介紹了無線傳感網絡的基礎上,著重分析和研究了現有的無線傳感網絡的路由協議和算法。

    標簽: 電子技術 無線通信 計算技術

    上傳時間: 2016-11-07

    上傳用戶:ghostparker

  • 傳統的以太網是一個廣播型網絡

    傳統的以太網是一個廣播型網絡,網絡中的所有主機通過HUB 或交換機相連,處在 同一個廣播域中。HUB 是物理層設備,沒有交換功能,接收的報文會向所有端口轉 發;交換機是鏈路層設備,具備根據報文的目的MAC 地址進行轉發的能力,但在 收到廣播報文或未知單播報文(報文的目的MAC 地址不在交換機MAC 地址表中) 時,也會向除交換機報文入端口之外的所有端口轉發。 上述情況使網絡中的主機會收到大量并非以自身為目的地的報文,在浪費大量帶寬 資源的同時,也造成了嚴重的安全隱患。 隔離廣播域的傳統方法是使用路由器,但是路由器成本較高,而且端口較少,無法 劃分細致的網絡。 為解決以太網交換機在LAN 中無法限制廣播的問題,出現了VLAN(Virtual Local Area Network,虛擬局域網)技術。

    標簽: 以太網 廣播 網絡

    上傳時間: 2014-01-03

    上傳用戶:qb1993225

  • NeC4.5 is a variant of C4.5 decision tree, which could generate decision trees more accurate than st

    NeC4.5 is a variant of C4.5 decision tree, which could generate decision trees more accurate than standard C4.5 decision trees, through regarding a neural network ensemble as a pre-process of C4.5 decision tree.

    標簽: decision 4.5 accurate generate

    上傳時間: 2013-12-10

    上傳用戶:anng

  • The MIPS32® 4KEm™ core from MIPS® Technologies is a member of the MIPS32 4KE™ proc

    The MIPS32® 4KEm™ core from MIPS® Technologies is a member of the MIPS32 4KE™ processor core family. It is a high-performance, low-power, 32-bit MIPS RISC core designed for custom system-on-silicon applications. The core is designed for semiconductor manufacturing companies, ASIC developers, and system OEMs who want to rapidly integrate their own custom logic and peripherals with a high-performance RISC processor. It is highly portable across processes, and can be easily integrated into full system-on-silicon designs, allowing developers to focus their attention on end-user products. The 4KEm core is ideally positioned to support new products for emerging segments of the digital consumer, network, systems, and information management markets, enabling new tailored solutions for embedded applications.

    標簽: MIPS 8482 Technologies 174

    上傳時間: 2014-12-22

    上傳用戶:semi1981

  • 無線傳感器網絡

    無線傳感器網絡,粒子濾波,particle filter for sensor network

    標簽: 無線傳感器網絡

    上傳時間: 2016-11-14

    上傳用戶:firstbyte

  • Semantic analysis of multimedia content is an on going research area that has gained a lot of atten

    Semantic analysis of multimedia content is an on going research area that has gained a lot of attention over the last few years. Additionally, machine learning techniques are widely used for multimedia analysis with great success. This work presents a combined approach to semantic adaptation of neural network classifiers in multimedia framework. It is based on a fuzzy reasoning engine which is able to evaluate the outputs and the confidence levels of the neural network classifier, using a knowledge base. Improved image segmentation results are obtained, which are used for adaptation of the network classifier, further increasing its ability to provide accurate classification of the specific content.

    標簽: multimedia Semantic analysis research

    上傳時間: 2016-11-24

    上傳用戶:蟲蟲蟲蟲蟲蟲

主站蜘蛛池模板: 沂水县| 肥城市| 永顺县| 麦盖提县| 广汉市| 凉山| 益阳市| 潼关县| 苍溪县| 大庆市| 彭水| 黑水县| 新建县| 保定市| 无锡市| 揭东县| 新巴尔虎右旗| 综艺| 江西省| 易门县| 娄烦县| 郎溪县| 漳州市| 湖南省| 嘉鱼县| 奎屯市| 新龙县| 胶南市| 石台县| 贵德县| 阳谷县| 交城县| 泽普县| 巴南区| 朝阳区| 香河县| 宁化县| 金塔县| 攀枝花市| 土默特左旗| 电白县|