2012 IEEE International Conference on Computational Intelligence and Computing Research最新文献

Level identification of brain MR images using histogram of a LBP variant 使用LBP变异直方图的脑MR图像水平识别

2012 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2012-12-18 DOI: 10.1109/ICCIC.2012.6510233

Abraham Varghese, R. Varghese, K. Balakrishnan, J. S. Paul

引用次数: 5

A hybrid encryption algorithm based on RSA and Diffie-Hellman 一种基于RSA和Diffie-Hellman的混合加密算法

2012 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2012-12-01 DOI: 10.1109/ICCIC.2012.6510190

Shilpi Gupta, Jaya Sharma

引用次数: 36

Kakkot Tree — A Binary Search Tree with caching Kakkot树——一个带缓存的二叉搜索树

2012 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2012-12-01 DOI: 10.1109/ICCIC.2012.6510247

R. Ramachandran

引用次数: 1

“Fuzzy based automated mobile controlled rescue robot” 基于模糊的自动移动控制救援机器人

2012 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2012-12-01 DOI: 10.1109/ICCIC.2012.6510260

L. Srivathsan, P. Velmurugan, K. Sivashankar, M. Chandru

{"title":"“Fuzzy based automated mobile controlled rescue robot”","authors":"L. Srivathsan, P. Velmurugan, K. Sivashankar, M. Chandru","doi":"10.1109/ICCIC.2012.6510260","DOIUrl":"https://doi.org/10.1109/ICCIC.2012.6510260","url":null,"abstract":"Of late natural and man made calamities became unmanageable. Notwithstanding the fact that Government takes all steps to protect and reduce the impact of calamity, Right from the ancient times only humans are being used for these rescue operations. However, over the past decade or so, the autonomous systems role has changed — the emergence of smart munitions and precision aerial bombardment has resulted in the human entering tough urban combat situations to mop up any remains of calamities. Our system is the first of several such programs that are looking at revamping the rescuers gear. Our system basically has two modes. One mode is the automatic mode and the other mode is user control mode. The automatic mode makes the robot to detect the obstacles and move without any human intervention using Fuzzy Logic. In certain unavoidable circumstances the control comes to user who can control the operations of the robot from remote location using a mobile phone. The user can control the robot by seeing the video through 3G technology. It also helps to provide medical aid for needy. Our system can also be used to detect and defuse the fire, human life detection during earth quakes. Thus our aim is to provide a robotic system that can act as a savior during natural and man made calamities.","PeriodicalId":340238,"journal":{"name":"2012 IEEE International Conference on Computational Intelligence and Computing Research","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116691324","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

Improving network security using machine learning techniques 利用机器学习技术提高网络安全

2012 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2012-12-01 DOI: 10.1109/ICCIC.2012.6510197

Shaik Akbar, J. A. Chandulal, K. N. Rao, G. Kumar

{"title":"Improving network security using machine learning techniques","authors":"Shaik Akbar, J. A. Chandulal, K. N. Rao, G. Kumar","doi":"10.1109/ICCIC.2012.6510197","DOIUrl":"https://doi.org/10.1109/ICCIC.2012.6510197","url":null,"abstract":"Discovery of malicious correlations in computer networks has been an emergent problem motivating extensive research in computer science to develop improved intrusion detecting systems (IDS). In this manuscript, we present a machine learning approach known as Decision Tree (C4.5) Algorithm and Genetic Algorithm, to classify such risky/attack type of connections. The algorithm obtains into consideration dissimilar features in network connections and to create a classification rule set. Every rule in rule set recognizes a particular attack type. For this research, we implement a GA, C.45 and educated it on the KDD Cup 99 data set to create a rule set that can be functional to the IDS to recognize and categorize dissimilar varieties of assault links. During our study, we have developed a rule set contain of six rules to classify six dissimilar attack type of connections that fall into 4 modules namely DoS, U2R, root to local and probing attacks. The rule produces works with 93.70% correctness for detecting the denial of service type of attack connections, and with significant accuracy for detecting the root to local, user to root and probe connections. Results from our experiment have given hopeful results towards applying enhanced genetic algorithm for NIDS.","PeriodicalId":340238,"journal":{"name":"2012 IEEE International Conference on Computational Intelligence and Computing Research","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115507446","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

An enhanced pre-processing technique for web log mining by removing web robots 一种去除网络机器人的增强web日志挖掘预处理技术

2012 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2012-12-01 DOI: 10.1109/ICCIC.2012.6510325

P. Nithya, P. Sumathi

{"title":"An enhanced pre-processing technique for web log mining by removing web robots","authors":"P. Nithya, P. Sumathi","doi":"10.1109/ICCIC.2012.6510325","DOIUrl":"https://doi.org/10.1109/ICCIC.2012.6510325","url":null,"abstract":"Nowadays, internet becomes useful source of information in day-to-day life. It creates huge development of World Wide Web in its quantity of interchange and its size and difficulty of websites. Web Usage Mining (WUM) is one of the main applications of data mining, artificial intelligence and so on to the web data and forecast the user's visiting behaviors and obtains their interests by investigating the samples. Since WUM directly involves in large range of applications, such as, ecommerce, e-learning, Web analytics, information retrieval etc. Weblog data is one of the major sources which contain all the information regarding the users visited links, browsing patterns, time spent on a particular page or link and this information can be used in several applications like adaptive web sites, modified services, customer summary, pre-fetching, generate attractive web sites etc. There are several problems related with the existing web usage mining approaches. Existing web usage mining algorithms suffer from difficulty of practical applicability. So, a novel research is necessary for the accurate prediction of future performance of web users with rapid execution time. WUM consists of preprocessing, pattern discovery and pattern analysis. Log data is characteristically noisy and unclear. Hence, preprocessing is an essential process for effective mining process. In this paper, a novel pre-processing technique is proposed by removing local and global noise and web robots. Anonymous Microsoft Web Dataset and MSNBC.com Anonymous Web Dataset are used for estimating the proposed preprocessing technique.","PeriodicalId":340238,"journal":{"name":"2012 IEEE International Conference on Computational Intelligence and Computing Research","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122342818","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

Contribution of BFO in grid scheduling BFO在网格调度中的贡献

2012 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2012-12-01 DOI: 10.1109/ICCIC.2012.6510214

Joshua Samuel Raj, S. D. Priya

引用次数: 6

A risk analysis method for assessing risks based on interval-valued fuzzy number 一种基于区间模糊数的风险评估方法

2012 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2012-12-01 DOI: 10.1109/ICCIC.2012.6510296

Manisha Rathi, T. Chaussalet

引用次数: 0

Efficient on-chip interconnects using CMS scheme with variation tolerant 采用CMS方案实现片上互连，具有容错性

2012 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2012-12-01 DOI: 10.1109/ICCIC.2012.6510253

T. Uma, K. Nirmaladevi

引用次数: 0

Directional gradient based registration of retinal images 基于方向梯度的视网膜图像配准

2012 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2012-12-01 DOI: 10.1109/ICCIC.2012.6510276

S. Patankar, J. Kulkarni

{"title":"Directional gradient based registration of retinal images","authors":"S. Patankar, J. Kulkarni","doi":"10.1109/ICCIC.2012.6510276","DOIUrl":"https://doi.org/10.1109/ICCIC.2012.6510276","url":null,"abstract":"Registration of retinal images provided by different modalities is required to facilitate diagnosis of the retina specifically in context with Diabetes Retinopathy (DR). Temporal registration is necessary in order to follow the various stages DR, whereas multimodal registration allows us to improve the identification of some lesions or to compare pieces of information gathered from different sources. This paper presents an algorithm for temporal and/or multimodal registration of retinal images based on directional gradient of salient vessel bifurcation points. Gradient along 0, +45 and 90 degrees around bifurcation point is invariant to rotation. We have validated this by using Fourier transform. This enables to estimate the correspondence of bifurcation points between the image pairs to be aligned. The retinal vessel tree is first segmented and vessel bifurcation points are located. A feature vector comprising of directional gradients along 0, +45 and 90 degrees around labeled bifurcation point in its 3 × 3 neighborhood is then computed in order to determine correspondence. The rotation is estimated from the coordinates of the matched vessel bifurcation points. The algorithm is tested on publically available DRIVE and STARE database. The overall registration error is observed to be 0.8% and 0.7% for STARE and DRIVE database respectively.","PeriodicalId":340238,"journal":{"name":"2012 IEEE International Conference on Computational Intelligence and Computing Research","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121279615","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