2012 World Congress on Information and Communication Technologies最新文献_第2页

Optimization of OFDM systems resources using multi-objective Estimation Distribution Algorithms 基于多目标估计分布算法的OFDM系统资源优化

2012 World Congress on Information and Communication Technologies Pub Date : 2012-10-01 DOI: 10.1109/WICT.2012.6409166

R. Annauth, H. Rughooputh

引用次数: 1

A novel approach for malicious nodes detection in ad-hoc networks based on cellular learning automata 基于元胞学习自动机的自组织网络恶意节点检测新方法

2012 World Congress on Information and Communication Technologies Pub Date : 2012-10-01 DOI: 10.1109/WICT.2012.6409055

Amir Bagheri Aghababa, Amirhosein Fathinavid, Abdolreza Salari, Seyedeh Elaheh Haghayegh Zavareh

引用次数: 5

Development of advanced contrast enhancement technique for mammographie images 乳房x线摄影影像先进对比增强技术的发展

2012 World Congress on Information and Communication Technologies Pub Date : 2012-10-01 DOI: 10.1109/WICT.2012.6409072

A. Das, M. Bhattacharya

引用次数: 1

VLDD: Vindictive Link detection in Distance Vector Routine for ad hoc network 自组网中距离矢量例程的报复性链路检测

2012 World Congress on Information and Communication Technologies Pub Date : 2012-10-01 DOI: 10.1109/WICT.2012.6409200

K. Sreenivasulu, E. Prasad, A. Subramanyam

{"title":"VLDD: Vindictive Link detection in Distance Vector Routine for ad hoc network","authors":"K. Sreenivasulu, E. Prasad, A. Subramanyam","doi":"10.1109/WICT.2012.6409200","DOIUrl":"https://doi.org/10.1109/WICT.2012.6409200","url":null,"abstract":"In this paper we present a novel Vindictive Link detection enabled Distance Vector Routing Protocol (VLDD) for mobile ad hoc networks, through which the cost of working out and consumption of resources is bounded. While most of the existing models go for Digital Signature the proposed protocol is based on adept symmetric key cryptography with proactive routing topology called DSDV. This proposed protocol offers an efficient hash chaining technique in which each node in the routing path stores only one arcanum where as the hash chained based protocols obliges high storage memory as it requires to preserve multiple numbers of Aracnums. The other hash chaining protocols like SEAD uses multiple user authentications where as VLDD uses only one authentication tag for giving acknowledgements, and for fault declarations. By the efficient use of hash chain elements the metric values and the sequence numbers on the path can be secured from logical tampering. In contrast with the proactive routing topology called SEAD that cited frequently in literature about secure ad hoc routing provides security that limited to lower bound of the evaluation metrics, VLDD can provide total protection. We evaluated scalability of VLDD by comparing with state-of-the-art algorithms and observed that it is scalable, adaptive over a wide range of divergent situations under different number of assessment measures. In particular, we show that it scales better on networks with dense in node count. In this regard simulation model developed inNS-2 environment.","PeriodicalId":445333,"journal":{"name":"2012 World Congress on Information and Communication Technologies","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133640953","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: 0

Rough sets and genetic algorithms: A hybrid approach to breast cancer classification 粗糙集和遗传算法:乳腺癌分类的混合方法

2012 World Congress on Information and Communication Technologies Pub Date : 2012-10-01 DOI: 10.1109/WICT.2012.6409085

Hanaa Ismail Elshazly, N. Ghali, Abir M. El Korany, A. Hassanien

{"title":"Rough sets and genetic algorithms: A hybrid approach to breast cancer classification","authors":"Hanaa Ismail Elshazly, N. Ghali, Abir M. El Korany, A. Hassanien","doi":"10.1109/WICT.2012.6409085","DOIUrl":"https://doi.org/10.1109/WICT.2012.6409085","url":null,"abstract":"The use of computational intelligence systems such as rough sets, neural networks, fuzzy set, genetic algorithms, etc., for predictions and classification has been widely established. This paper presents a generic classification model based on a rough set approach and decision rules. To increase the efficiency of the classification process, boolean reasoning discretization algorithm is used to discretize the data sets. The approach is tested by a comparative study of three different classifiers (decision rules, naive bayes and k-nearest neighbor) over three distinct discretization techniques (equal bigning, entropy and boolean reasoning). The rough set reduction technique is applied to find all the reducts of the data which contains the minimal subset of attributes that are associated with a class label for prediction. In this paper we adopt the genetic algorithms approach to reach reducts. Finally, decision rules were used as a classifier to evaluate the performance of the predicted reducts and classes. To evaluate the performance of our approach, we present tests on breast cancer data set. The experimental results obtained, show that the overall classification accuracy offered by the employed rough set approach and decision rules is high compared with other classification techniques including Bayes and k-nearest neighbor.","PeriodicalId":445333,"journal":{"name":"2012 World Congress on Information and Communication Technologies","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133674390","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: 12

On modeling the multirate sensor array 多速率传感器阵列的建模

2012 World Congress on Information and Communication Technologies Pub Date : 2012-10-01 DOI: 10.1109/WICT.2012.6409150

P. Neenu, S. Kumari, R. Dhuli

引用次数: 0

A comparison between analytic and numerical solution of linear Black-Scholes equation governing option pricing: Using BANKNIFTY 控制期权定价的Black-Scholes线性方程解析解与数值解的比较:基于BANKNIFTY

2012 World Congress on Information and Communication Technologies Pub Date : 2012-10-01 DOI: 10.1109/WICT.2012.6409117

M. S. Kumar, Satyajit Das, M. Reza

引用次数: 1

A cognitive based context-aware personalized medical assistance, A mobile application 一个基于认知的情境感知个性化医疗援助，一个移动应用程序

2012 World Congress on Information and Communication Technologies Pub Date : 2012-10-01 DOI: 10.1109/WICT.2012.6409153

K. Patii, B. P. Vijayakumar

引用次数: 1

Design of a transaction recovery instance based on bi-directional ring election algorithm for crashed coordinator in distributed database systems 基于双向环选举算法的分布式数据库系统崩溃协调器事务恢复实例设计

2012 World Congress on Information and Communication Technologies Pub Date : 2012-10-01 DOI: 10.1109/WICT.2012.6409169

D. Ramesh, K. Kumar, B. Ramji

引用次数: 3

Tumor demarcation by VQ based clustering and augmentation with KMCG and KFCG codebook generation algorithms 基于VQ的聚类和KMCG和KFCG码本生成算法增强的肿瘤划分

2012 World Congress on Information and Communication Technologies Pub Date : 2012-10-01 DOI: 10.1109/WICT.2012.6409219

H. B. Kekre, P. Shrinath

{"title":"Tumor demarcation by VQ based clustering and augmentation with KMCG and KFCG codebook generation algorithms","authors":"H. B. Kekre, P. Shrinath","doi":"10.1109/WICT.2012.6409219","DOIUrl":"https://doi.org/10.1109/WICT.2012.6409219","url":null,"abstract":"Ultrasound (US) imaging is important modality to examine the clinical problems and also used as complimentary to the mammogram images to understand nature and shape of the breast tumor. Accurate and efficient segmentation method helps radiologists to understand and observe the volume of a tumor (growth or shrinkage). Inherent artifact present in US images, such as speckle, attenuation and shadows are major hurdles in achieving proper segmentation. Along with the accuracy, computational efficiency is also major concern in the segmentation process. Here, in this paper, VQ based clustering technique is proposed for US image segmentation with KMCG and KFCG as codebook generation algorithms. A novel technique of sequential cluster clubbing is used on clusters obtained from codebook generation algorithms and appropriate cluster has been selected as segmentation result. Besides original KMCG and KFCG, augmented KMCG and KFCG are also proposed for clustering with different block sizes. The results of all proposed methods are compared with each other and best result is selected based on two criteria's, one is computational efficiency and other is accuracy. Finally, best results amongst our methods are compared with results of original watershed and improved watershed transforms.","PeriodicalId":445333,"journal":{"name":"2012 World Congress on Information and Communication Technologies","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122108984","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: 2