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

Microstrip Rectangular 4x1 Patch Array Antenna at 2.5GHz for WiMax Application 用于WiMax应用的2.5GHz微带矩形4x1贴片阵列天线

2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks Pub Date : 2010-07-28 DOI: 10.1109/CICSyN.2010.73

N. Wahab, Zulkifli Bin Maslan, W. N. W. Muhamad, Norhayati Hamzah

引用次数: 66

Unsupervised Artificial Neural Nets for Modeling Movie Sentiment 电影情感建模的无监督人工神经网络

2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks Pub Date : 2010-07-28 DOI: 10.1109/CICSyN.2010.23

W. Claster, Dinh Quoc Hung, S. Shanmuganathan

引用次数: 18

Study on Performance of Some Typical Tag Collision Avoidance Algorithms 几种典型标签避碰算法的性能研究

2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks Pub Date : 2010-07-28 DOI: 10.1109/CICSyN.2010.35

Jiang-Jie Gu, Zhiying Yang

引用次数: 0

Evaluation of SQL Injection Detection and Prevention Techniques SQL注入检测和预防技术的评价

2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks Pub Date : 2010-07-28 DOI: 10.1109/CICSyN.2010.55

A. Tajpour, M. Shooshtari

引用次数: 73

Expert-Aware Approach: A New Approach to Improve Network Security Visualization Tool 专家感知方法:改进网络安全可视化工具的新途径

2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks Pub Date : 2010-07-28 DOI: 10.1109/CICSyN.2010.64

D. Wong, Kok-Soon Chai, S. Ramadass, Nicolas Vavasseur

{"title":"Expert-Aware Approach: A New Approach to Improve Network Security Visualization Tool","authors":"D. Wong, Kok-Soon Chai, S. Ramadass, Nicolas Vavasseur","doi":"10.1109/CICSyN.2010.64","DOIUrl":"https://doi.org/10.1109/CICSyN.2010.64","url":null,"abstract":"Nowadays, many computers have been infected with the computer anomalies or viruses. The availability of network security visualization tools greatly facilitate to detect, perceive and defend computer users from being affected by these anomalies. Many of the network security visualization tools are designed particularly for users with advanced network security awareness even though the tools are indispensable by various types of computer users. We proposed an expert-aware approach to designing a system which formulated with a large amount of network data or high-dimensional data and adaptive for different types of users. In the preliminary phase, we proposed and implemented initial pre-expertise classification system which provides a default setting for the expert-aware network security visualization tool. The tool will learn from continual user feedbacks in order to statistically satisfy the needs of majority tool users. The expert-aware approach looks at the users’ expertise level in network security and adapts the visualization views that are best suitable for the user. Initial results of the implementation of the system show that it is capable of representing several of network security data not only on two-dimensional space on a computer but also beyond that space. Systems features, such as system effectiveness and efficiency of data visualization have been improved. Our experiments in a network lab suggest that the tool can be further improved as the tool for distribution to a wide range of computer user.","PeriodicalId":358023,"journal":{"name":"2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks","volume":"151 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":"114562590","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

Context-Aware News Recommender in Mobile Hybrid P2P Network 移动混合P2P网络中上下文感知的新闻推荐

2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks Pub Date : 2010-07-28 DOI: 10.1109/CICSyN.2010.48

K. Yeung, Yanyan Yang, D. Ndzi

引用次数: 13

Some Recent Major Events and Considerations for Modelling and Simulation 最近的一些重大事件和建模与仿真的考虑

2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks Pub Date : 2010-07-28 DOI: 10.1109/CICSyN.2010.68

R. Zobel

引用次数: 0

Human Authentication Using Face and Fingerprint Biometrics 使用人脸和指纹生物识别技术的人类身份验证

2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks Pub Date : 2010-07-28 DOI: 10.1109/CICSyN.2010.40

A. Darwish, W. M. Zaki, O. Saad, Nadia M. Nassar, G. Schaefer

引用次数: 30

Nonlinear Neural Network Congestion Control Based on Genetic Algorithm for TCP/IP Networks 基于遗传算法的TCP/IP网络非线性神经网络拥塞控制

2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks Pub Date : 2010-07-28 DOI: 10.1109/CICSyN.2010.21

M. Rouhani, Mohammad Rasoul Tanhatalab, Ali Shokohi-Rostami

引用次数: 11

Weather Forecasting Using Photovoltaic System and Neural Network 利用光伏系统和神经网络进行天气预报

2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks Pub Date : 2010-07-28 DOI: 10.1109/CICSyN.2010.63

I. Isa, S. Omar, Z. Saad, Norhayati Mohamad Noor, M. K. Osman

{"title":"Weather Forecasting Using Photovoltaic System and Neural Network","authors":"I. Isa, S. Omar, Z. Saad, Norhayati Mohamad Noor, M. K. Osman","doi":"10.1109/CICSyN.2010.63","DOIUrl":"https://doi.org/10.1109/CICSyN.2010.63","url":null,"abstract":"This paper presents the applicability of Artificial Neural Network (ANN) for weather forecasting using a Photovoltaic system. The main objective is to predict daily weather conditions based on various measured parameters gained from the PV system. In this work, Multiple Multilayer Perceptron (MMLP) network with majority voting technique was used and trained using Levenberg Marquardt (LM) algorithm. Voting technique is widely used in many applications to solve real world problem. Different techniques of voting are used such as majority rules, decision making, consensus democracy, consensus government and supermajority. The way of the voting technique is different depending on the problem involved. Majority voting technique was applied in the study so that the performance of MMLP can be approved as compared to single MLP network. The proposed work has been used to classify four weather conditions; rain, cloudy, dry day and storm. The system can be used to represent a warning system for likely adverse conditions. Experimental results demonstrate that the applied technique gives better performance than the conventional ANN concept of choosing an MLP with least number of hidden neurons.","PeriodicalId":358023,"journal":{"name":"2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks","volume":"22 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":"128904259","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: 38