2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks最新文献_第7页

Hybrid OCR Techniques for Cursive Script Languages - A Review and Applications 草书语言的混合OCR技术综述与应用

2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks Pub Date : 2010-07-28 DOI: 10.1109/CICSyN.2010.36

A. Beg, F. Ahmed, Piers R. J. Campbell

引用次数: 10

EEG Analysis for Brainwave Balancing Index (BBI) 脑波平衡指数(BBI)的脑电图分析

2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks Pub Date : 2010-07-28 DOI: 10.1109/CICSyN.2010.62

Z. H. Murat, M. Taib, S. Lias, R. S. AbdulKadir, N. Sulaiman, M. Mustafa

引用次数: 29

Implementation of FIR Interpolation Filter on TMS320C6713 for VoIP Analysis 在TMS320C6713上实现用于VoIP分析的FIR插值滤波器

2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks Pub Date : 2010-07-28 DOI: 10.1109/CICSyN.2010.71

Jasvir Singh, H. Singh, Sarabjeet Singh

引用次数: 5

A Web Service for Practical Physics Solutions Using Simulation 一个使用仿真的实用物理解决方案的Web服务

2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks Pub Date : 2010-07-28 DOI: 10.1109/CICSyN.2010.31

E. Isbasoiu, Madalin Preotesescu

引用次数: 0

Architecture for Faster RAM Controller Design with Inbuilt Memory 基于内建记忆体的快速RAM控制器设计架构

2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks Pub Date : 2010-07-28 DOI: 10.1109/CICSyN.2010.38

M. Wajid, S. Shashank

引用次数: 5

Performance of Dynamic MIMO Systems in Presence of Nakagami Fading Channel 存在Nakagami衰落信道时动态MIMO系统的性能

2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks Pub Date : 2010-07-28 DOI: 10.1109/CICSyN.2010.47

Ravi Kumar, R. Saxena, A. Sah, Saroj Gupta, Tapesh Chandgothia

引用次数: 0

Applying Systems Engineering in Tactical Wireless Network Analysis with Bayesian Networks 应用系统工程与贝叶斯网络进行战术无线网络分析

2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks Pub Date : 2010-07-28 DOI: 10.1109/CICSyN.2010.45

Philip Chan, M. Mansuri, H. Man

{"title":"Applying Systems Engineering in Tactical Wireless Network Analysis with Bayesian Networks","authors":"Philip Chan, M. Mansuri, H. Man","doi":"10.1109/CICSyN.2010.45","DOIUrl":"https://doi.org/10.1109/CICSyN.2010.45","url":null,"abstract":"Systems engineering approaches are employed to measure and to analyze vulnerabilities of military tactical RF wireless networks. The goal is to develop smart and innovative performance benchmarks through electronic warfare (EW) modeling and simulation scenarios. Systematic systems engineering approaches with radio frequency (RF) electronic warfare modeling and simulation scenarios are built to support research in vulnerability analysis. RF electronic warfare models are used to provide a practical yet simple process for assessing and investigate the vulnerability of tactical RF systems. The focus is on military or tactical wireless network within a system of systems (SoS) context research area. Wireless RF communication network vulnerabilities critically studied within Department of Defense (DoD) organizations to provide a comprehensive network vulnerability assessment approach. Researchers have proposed a variety of methods to build network trees with chains of exploits, and then perform normal post-graph vulnerability analysis. This paper presents an approach to use Bayesian network to model, calculate and analyze all potential vulnerability paths in wireless RF networks.","PeriodicalId":358023,"journal":{"name":"2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126692943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

PAPR Reduction in OFDM Systems: Zadoff-Chu Matrix Transform Based Pre/Post-Coding Techniques OFDM系统的PAPR降低:基于Zadoff-Chu矩阵变换的前/后编码技术

2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks Pub Date : 2010-07-28 DOI: 10.1109/CICSyN.2010.34

I. Baig, V. Jeoti

引用次数: 65

Relay Selection Techniques in Cooperative Communication Using Game Theory 基于博弈论的合作通信中继选择技术

2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks Pub Date : 2010-07-01 DOI: 10.1109/CICSyN.2010.80

M. Nazir, Nandana Rajatheva

{"title":"Relay Selection Techniques in Cooperative Communication Using Game Theory","authors":"M. Nazir, Nandana Rajatheva","doi":"10.1109/CICSyN.2010.80","DOIUrl":"https://doi.org/10.1109/CICSyN.2010.80","url":null,"abstract":"In this paper, the optimized routing or relay selection is discussed for the Cooperative Communication wireless networks. The whole network system performance or Quality of Service (QoS) can not be achieved without the optimal selection of the relay nodes. For this paper, the network performance is analyzed for m number of relays for n number of source nodes. The simulation results are measured by considering four nodes only in half duplex mode. The mentioned techniques can further be applied to more than four nodes in full duplex mode. So, by considering the optimal performance routing for a subset of problem, which can be further applied to whole wireless network. There have been a lot of works in this domain taking advantages from the traditional techniques and algorithms from Game Theory and Algorithms. This paper discusses the scenario of three types of nodes (Source, Relay & Destination). There are many common scenarios in which the additional relay selection or route leads to degrade in the system performance [Braesss Paradox]. And these type of scenarios can be analyzed by using techniques from traditional traffic engineering domain. Dynamic relay selection plays an important role for the increase in system performance. The greedy approach in the wireless network approach leads toward the Nash Equilibrium which may be suboptimal but not optimal. The relay selection procedure can be optimized with application of game theoretic approach to increase the system performance, as a whole. So, the main objective is to present and algorithmic approach to solving the Relay Selection in Cooperative Communication using techniques from Optimization and Game Theory for amplify-and-forward case. The results shows the bandwidth allocation and Nash Equilibrium among the competing users represented as buyer/seller in the open competition market.","PeriodicalId":358023,"journal":{"name":"2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126591732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14