2010 18th Iranian Conference on Electrical Engineering最新文献_第6页

Designing edge detection filters using Particle Swarm Optimization 基于粒子群算法的边缘检测滤波器设计

2010 18th Iranian Conference on Electrical Engineering Pub Date : 2010-05-11 DOI: 10.1109/IRANIANCEE.2010.5507008

M. Alipoor, Sajjad Imandoost, J. Haddadnia

引用次数: 14

New approach for detection and defending the wormhole attacks in Wireless ad hoc networks 无线自组织网络中虫洞攻击检测与防御的新方法

2010 18th Iranian Conference on Electrical Engineering Pub Date : 2010-05-11 DOI: 10.1109/IRANIANCEE.2010.5507050

M. Taheri, M. Naderi, M. Barekatain

{"title":"New approach for detection and defending the wormhole attacks in Wireless ad hoc networks","authors":"M. Taheri, M. Naderi, M. Barekatain","doi":"10.1109/IRANIANCEE.2010.5507050","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2010.5507050","url":null,"abstract":"A Wireless ad-hoc network is a temporary network set up by wireless mobile computers (or nodes) moving arbitrary in the places that have no network infrastructure. Due to security vulnerabilities of the routing protocols, wireless ad-hoc networks are unprotected to attacks of the malicious nodes. The wormhole attack is possible even if the attacker has not compromised any hosts, and even if all communication provides authenticity and confidentiality. In the wormhole attack, an attacker records packets (or bits) at one location in the network, tunnels them to another location, and retransmits them there into the network. The wormhole attack can form a serious threat in wireless networks, especially against many ad hoc network routing protocols and location-based wireless security systems. For example, most existing ad hoc network routing protocols, without some mechanism to defend against the wormhole attack, would be unable to send routes longer than one or two hops, severely disrupting communication. We present a new, general mechanism, called MultiPath Routing, for detecting and thus defending against wormhole attacks.","PeriodicalId":282587,"journal":{"name":"2010 18th Iranian Conference on Electrical Engineering","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123932960","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: 24

Modeling of a hybrid power system for economic analysis and environmental impact in HOMER 霍默电厂混合动力系统的经济分析和环境影响建模

2010 18th Iranian Conference on Electrical Engineering Pub Date : 2010-05-11 DOI: 10.1109/IRANIANCEE.2010.5506962

Ahmad Rohani, K. Mazlumi, H. Kord

引用次数: 84

Analysis of hybrid robust controller considering disturbance, noise and time-delay 考虑干扰、噪声和时滞的混合鲁棒控制器分析

2010 18th Iranian Conference on Electrical Engineering Pub Date : 2010-05-11 DOI: 10.1109/IRANIANCEE.2010.5506990

F. Asharif, S. Tamaki, T. Nagado, T. Nagata

引用次数: 1

Simultaneous on-line monitoring and wave-net learning 同时在线监测和波网学习

2010 18th Iranian Conference on Electrical Engineering Pub Date : 2010-05-11 DOI: 10.1109/IRANIANCEE.2010.5506984

M. Jafari, A. Safavi

引用次数: 1

FPGA implementation of a modular active noise control system FPGA实现的模块化有源噪声控制系统

2010 18th Iranian Conference on Electrical Engineering Pub Date : 2010-05-11 DOI: 10.1109/IRANIANCEE.2010.5506991

Shiva Gholami Boroujeny, M. Eshghi

引用次数: 6

Optimal placement of distributed generation with sensitivity factors considering voltage stability and losses indices 考虑电压稳定性和损耗指标的分布式发电灵敏度优化配置

2010 18th Iranian Conference on Electrical Engineering Pub Date : 2010-05-11 DOI: 10.1109/IRANIANCEE.2010.5506959

A. Parizad, A. Khazali, M. Kalantar

{"title":"Optimal placement of distributed generation with sensitivity factors considering voltage stability and losses indices","authors":"A. Parizad, A. Khazali, M. Kalantar","doi":"10.1109/IRANIANCEE.2010.5506959","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2010.5506959","url":null,"abstract":"Loss minimization in distribution networks has considered as great significance recently since the trend to the distribution generation will require the most efficient operating scenario for economic viability variations. Furthermore, voltage instability phenomena can occur in distribution systems and caused a major blackout in the network. The decline of voltage stability level will restrict the increase of load served by distribution companies. To control distribution networks, it can be used from Distributed Generation (DG). DG is increasingly drawing great attention and development of DGs will bring new chances to traditional distribution systems. However, Installation of DG in non-optimal places can result in an increasing in system losses, voltage problems, etc. This paper presents two scenarios for distributed generation placement in a distributions system. In the first scenario only minimizing the total real power losses in the system is considered. Both the optimal size and location are obtained as outputs from the exact loss formula. The next scenario considered the voltage stability index (SI) to find optimum placement. In these scenarios Different DG placements are compared in terms of power loss, loadability and voltage stability index. To improve power transfer capacity, two line stability indices have been introduced. Distribution power flow solution algorithm is based on the equivalent current injection that uses the bus-injection to branch-current (BIBC) and branch-current to bus-voltage (BCBV) matrices. These scenarios are executed on typical 33 and 30 bus test system and yields efficiency in improvement of voltage profile and reduction of power losses; it also may permit an increase in power transfer capacity, maximum loading, and voltage stability margin.","PeriodicalId":282587,"journal":{"name":"2010 18th Iranian Conference on Electrical Engineering","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116104441","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: 81

Multi-layer cellular automata for generating normal random numbers 用于生成正态随机数的多层元胞自动机

2010 18th Iranian Conference on Electrical Engineering Pub Date : 2010-05-11 DOI: 10.1109/IRANIANCEE.2010.5507018

Ramin Ayanzadeh, Y. Moghaddas, S. Setayeshi, Kaveh Hassani, Hadi Gheiby

引用次数: 7

An evolutionary tuning technique for type-2 fuzzy logic controller in a non-linear system under uncertainty 不确定非线性系统中2型模糊控制器的进化整定技术

2010 18th Iranian Conference on Electrical Engineering Pub Date : 2010-05-11 DOI: 10.1109/IRANIANCEE.2010.5506999

S. Mohammadi, A. Gharaveisi, M. Mashinchi

{"title":"An evolutionary tuning technique for type-2 fuzzy logic controller in a non-linear system under uncertainty","authors":"S. Mohammadi, A. Gharaveisi, M. Mashinchi","doi":"10.1109/IRANIANCEE.2010.5506999","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2010.5506999","url":null,"abstract":"Uncertainty is an inherent part in control systems used in real world applications. Various instruments used in such systems produce uncertainty in their measurements and thus influence the integrity of the data collection. Type-1 fuzzy sets used in conventional fuzzy systems cannot fully handle the uncertainties present but type-2 fuzzy sets that are used in type-2 fuzzy systems can handle such uncertainties in a better way because they provide more parameters and more design degrees of freedom. There are membership functions which can be parameterised by a few variables and when optimized, the membership optimization problem can be reduced to a parameter optimization problem. This paper deals with the parameter optimization of the type-2 fuzzy membership functions using a new proposed reinforcement learning algorithm in a nonlinear system. The results of the proposed method referred to as Extended Discrete Action Reinforcement Learning Automata algorithm are compared to the results obtained by the Discrete Action Reinforcement Learning Automata and Continuous Action Reinforcement Learning Automata algorithms. The Performance of the proposed method on initial error reduction and error convergence issues are also investigated by computer simulations.","PeriodicalId":282587,"journal":{"name":"2010 18th Iranian Conference on Electrical Engineering","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126896713","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: 9

An efficient one-hot OHR adder circuit 一种高效的单热OHR加法器电路

2010 18th Iranian Conference on Electrical Engineering Pub Date : 2010-05-11 DOI: 10.1109/IRANIANCEE.2010.5507015

Mansoureh Labafniya, M. Eshghi

引用次数: 1