Description: http://wordnet.princeton.edu/
WordNet is a large lexical database of English, developed under the direction of George A. Miller. Nouns, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms (synsets), each expressing a distinct concept. Synsets are interlinked by means of conceptual-semantic and lexical relations. The resulting network of meaningfully related words and concepts can be navigated with the browser. WordNet is also freely and publicly available for download. WordNet s structure makes it a useful tool for computational linguistics and natural language processing.-http://wordnet.princeton.edu/WordNet is a large lexical database of English, developed under the direction of George A. Miller. Nouns, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms (synsets), each expressing a distinct concept. Synsets are interlinked by means of conceptual-semantic and lexical relations. The resulting network of meaningfully related words and concepts can be navigated with the browser. WordNet is also freely and publicly available for download. WordNet s structure makes it a useful tool for computational linguistics and natural language processing. Platform: |
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Description: bp网络实现认知无线电的检测和预测，从而达到了对频谱的分配-bp cognitive radio network detection and prediction, so as to achieve the allocation of spectrum Platform: |
Size: 5120 |
Author:you |
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Description: pdf格式的英文文献，是关于认知无线电网络的，编者是加拿大桂尔夫大学的Qusay H. Mahmoud。ISBN：978-0-470-06196-1
章节内容：
1 Biologically Inspired Networking
2 The Role of Autonomic Networking in Cognitive Networks
3 Adaptive Networks
4 Self-Managing Networks
5 Machine Learning for Cognitive Networks: Technology Assessment
and Research Challenges
6 Cross-Layer Design and Optimization in Wireless Networks
等，共计13章，全书348页，pdf文件383页。-pdf format in English literature, is about the cognitive radio network, is the editor of the Canadian University Guangxi Wolf Qusay H. Mahmoud. ISBN :978-0-470-06196-1 sections of content: 1 Biologically Inspired Networking 2 The Role of Autonomic Networking in Cognitive Networks 3 Adaptive Networks 4 Self-Managing Networks 5 Machine Learning for Cognitive Networks: Technology Assessment and Research Challenges 6 Cross- Layer Design and Optimization in Wireless Networks, etc., for a total of 13 chapters, book 348, pdf file 383. Platform: |
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Author:yuan |
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Description: David Vernon is the Coordinator of the European Network for the Advancement of Artificial Cognitive Systems and he is a Visiting Professor of Cognitive Systems at the University of Genoa. He is also a member of the management team of the RobotCub integrated working on the development of open-source cognitive humanoid robot.
Over the past 27 years, he has held positions at Westinghouse Electric, Trinity College Dublin, the European Commission, the National University of Ireland Maynooth, Science Foundation Ireland, and Etisalat University College.
He has authored two and edited three books on computer vision and has published over eighty papers in the fields of Computer Vision, Robotics, and Cognitive Systems. His research interests include Fourier-based computer vision and enactive approaches to cognition.
He is currently a Professor at Etisalat University College in Sharjah-United Arab Emirates, focusing on Masters programs by research in Computing fields.".[1]
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Author:surajs |
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Description: 认知网络中基于图论着色模型的频谱分配算法的分析-Cognitive network coloring based on graph theory model of the analysis of spectrum allocation algorithm Platform: |
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Author:郭明 |
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Description: Cognitive Radios (CRs), which sense the spectrum and
implement opportunistic sharing when no licensed user is
found to use it, are able to improve the efficiency of
spectrum. Spectrum sensing must be firstly solved in CRs.
Cooperative sensing can make good use of network
resources, obtain higher gain and make the network steadier Platform: |
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Author:phong |
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Description: 无线认知网的一些文章，包括大牛Akyildiz最新发表的。-some papers about cognitive network, including one publish in 2009 by Akyildiz. Platform: |
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Author:wuxing |
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Description: 最新两个月的IEEE Transaction on Signal Processing论文，出自Spincom,U of Minnesota-The most recent Trans.Signal Processing, Aims at network coding and OFDM cognitive radio, originated from Spincom. Platform: |
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Author:高昕 |
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Description: This thesis is about Dynamic spectrum Access in cognitive radio network and its complete doucumentaion and have five chapter Platform: |
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Author: |
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Description: Cognitive Radio / Cognitive Network System simulator in matlab source code.
To Simulate Cognitive Radio System which is so effective that it can harvest more band-width in highly desired bands than is currently in use! Platform: |
Size: 1024 |
Author:Symbian |
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Description: 认知无线电调制信号的神经网络识别方法，调制信号识别-modulation recognition of cognitive radio signal based on neural network Platform: |
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Author:w,k |
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Description: 多通道仿真系统，包括协议statcks的执行情况，
模拟多个无线频道和无线上网的网络拓扑结构，往往是在外地
在多通道通信系统的仿真。这些模拟系统解决
20用于模拟多通道网络的软件缺陷。在本文中，我们主要集中在
两个机制：模拟期间驱动和事件驱动的。研究和方法论
节点模块和通道仿真的实施建议。
关键词：认知无线电 事件驱动 多通道模拟-Multiple-channel simulation system including implementation for protocol statcks 、
simulation of multiple wireless channel and topology of wirless networks，is often used in the field in
simulation in multiple-channel communication system. These kinds of simulation systems resolve the
20 defect of softwares used for simulating multiple channel networks. In this paper, we mainly focus on
the two mechanism of simulation: period-driven and event-driven. Methodology of research and
implementation for node module and channel simulation is proposed.
Key words: cognitive radio event-driven multi-channel simulation Platform: |
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Author:曾晓丽 |
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Description: In last decades, the demand of wireless spectrum has
increased rapidly with the development of mobile communication
services. Recent studies recognize that traditional fi xed spectrum
assignment does not use spectrum effi ciently. Such a wasting
phenomenon could be amended after the present of cognitive
radio. Cognitive radio is a new type of technology that enables
secondary usage to unlicensed user. This paper presents an
Opportunistic Cognitive MAC Protocol (OC-MAC) for cognitive
radios to access unoccupied resource opportunistically and coex-
ist with wireless local area network (WLAN). By a primary traffi c
predication model and transmission etiquette, OC-MAC avoids
producing fatal damage to licensed users. Then a ns2 simulation
model is developed to evaluate its performance in scenarios with
coexisting WLAN and cognitive network.-In last decades, the demand of wireless spectrum has
increased rapidly with the development of mobile communication
services. Recent studies recognize that traditional fi xed spectrum
assignment does not use spectrum effi ciently. Such a wasting
phenomenon could be amended after the present of cognitive
radio. Cognitive radio is a new type of technology that enables
secondary usage to unlicensed user. This paper presents an
Opportunistic Cognitive MAC Protocol (OC-MAC) for cognitive
radios to access unoccupied resource opportunistically and coex-
ist with wireless local area network (WLAN). By a primary traffi c
predication model and transmission etiquette, OC-MAC avoids
producing fatal damage to licensed users. Then a ns2 simulation
model is developed to evaluate its performance in scenarios with
coexisting WLAN and cognitive network. Platform: |
Size: 177152 |
Author:eng |
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Search - cognitive network