2012 IEEE International Conference on Computational Intelligence and Computing Research最新文献_第10页

Link level performance of Single Carrier Frequency Division Multiple Access (SC-FDMA) for Land Mobile Satellite (LMS) channel 陆地移动卫星信道单载波频分多址(SC-FDMA)链路级性能研究

2012 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2012-12-01 DOI: 10.1109/ICCIC.2012.6510193

J. Gangane, M. Aguayo-Torres, J. Sánchez-Sánchez, S. M. Kate

引用次数: 2

A multi-level classification approach for facial emotion recognition 面部情绪识别的多层次分类方法

2012 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2012-12-01 DOI: 10.1109/ICCIC.2012.6510279

Dev Drume, A. S. Jalal

引用次数: 13

Anti-synchronization of Wang-Chen chaotic systems via sliding mode control 基于滑模控制的Wang-Chen混沌系统的反同步

2012 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2012-12-01 DOI: 10.1109/ICCIC.2012.6510177

S. Vaidyanathan

{"title":"Anti-synchronization of Wang-Chen chaotic systems via sliding mode control","authors":"S. Vaidyanathan","doi":"10.1109/ICCIC.2012.6510177","DOIUrl":"https://doi.org/10.1109/ICCIC.2012.6510177","url":null,"abstract":"Chaos synchronization is a phenomenon that occurs when a chaotic system drives another chaotic system. If a certain chaotic system is called the master system and another chaotic system is called the slave system, then anti-synchronization is said to occur when the state vectors of the master and slave systems have the same amplitude but opposite signs. This paper derives an important result for the anti-synchronization of identical chaotic systems using sliding mode control. This main result has been established using Lyapunov stability theory. In robust control systems, the sliding mode control (SMC) is often preferred in view of its inherent advantages such as easy realization, fast response, good transient performance and also insensitivity to parameter uncertainties and external disturbances. As an application of this general result, this paper solves the anti-synchronization problem for identical Wang-Chen chaotic systems (2012) via sliding mode control. Numerical simulations using MATLAB have been presented in detail to validate the sliding controller design for achieving anti-synchronization of identical Wang-Chen chaotic systems.","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":"121221310","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: 3

Mitigating selfishness in mobile ad-hoc networks using virtual mobility 使用虚拟移动性减轻移动ad-hoc网络中的自私

2012 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2012-12-01 DOI: 10.1109/ICCIC.2012.6510187

Sangheethaa Sukumaran, Arun Korath, Lakshmi Ramachandran

引用次数: 0

Advanced Pedestrian Detection system using combination of Haar-like features, Adaboost algorithm and Edgelet-Shapelet 结合Haar-like feature、Adaboost算法和Edgelet-Shapelet的高级行人检测系统

2012 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2012-12-01 DOI: 10.1109/ICCIC.2012.6510256

G. R. Rakate, S. Borhade, P. Jadhav, M. Shah

{"title":"Advanced Pedestrian Detection system using combination of Haar-like features, Adaboost algorithm and Edgelet-Shapelet","authors":"G. R. Rakate, S. Borhade, P. Jadhav, M. Shah","doi":"10.1109/ICCIC.2012.6510256","DOIUrl":"https://doi.org/10.1109/ICCIC.2012.6510256","url":null,"abstract":"The basic task in various applications like automotive control, video surveillance, etc is human body detection. For such applications to be successful, high accuracy and high speed performance are crucial. Image feature description determines accuracy and hence it should be robust against occlusion, rotation, and changes in object shapes and illumination conditions. Till date, many such feature descriptors have been proposed. Many of them are based on histogram of oriented gradients (HOG) along with support vector machine (SVM) classifier. Limitation of this method is high time consumption though it achieved good performance for Pedestrian Detection. To counter this limitation, a Two-step framework was proposed. It consisted two steps — full-body detection (FBD) and head-shoulder detection (HSD). Zhen Li proposed fusion of Haar-like and HOG features for better performance, and HSD step utilizes Edgelet features for classification and detection. But this method results in low detection rate and less computation speed. To counter these limitations, we have proposed an advanced method to improve both detection rate and speed. We achieve this by combination of Haar-like and Triangular features for FBD and Edgelet/Shapelet for HSD. We have achieved an average 95% detection rate and 60% faster speed for this proposed method.","PeriodicalId":340238,"journal":{"name":"2012 IEEE International Conference on Computational Intelligence and Computing Research","volume":"58 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":"125991370","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: 18

On retinal image compression using asymmetric filter bank 非对称滤波器组在视网膜图像压缩中的应用

2012 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2012-12-01 DOI: 10.1109/ICCIC.2012.6510264

Tejas G. Patil, S. Patankar, J. Kulkarni

引用次数: 0

Asynchronous adiabatic design of full adder using dual-rail domino logic 采用双轨多米诺逻辑的全加法器异步绝热设计

2012 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2012-12-01 DOI: 10.1109/ICCIC.2012.6510234

A. K. Kumar, D. Somasundareswari, V. Duraisamy, M. G. Nair

引用次数: 3

Performance enhancement in disturbance rejection by PID controller in series with low pass filter 采用低通滤波器串联PID控制器增强抗扰性能

2012 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2012-12-01 DOI: 10.1109/ICCIC.2012.6510263

Sneha S. Patil, G. Malwatkar, J. Kulkarni

引用次数: 0

Curvelet Transform based approach for prediction of epigraphical scripts era 基于曲线变换的铭文时代预测方法

2012 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2012-12-01 DOI: 10.1109/ICCIC.2012.6510213

B. Gangamma, K. S. Murthy, P. Punitha

引用次数: 3

Performance analysis of granular computing model based on Fuzzy based linear programming problem 基于模糊线性规划问题的颗粒计算模型性能分析

2012 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2012-12-01 DOI: 10.1109/ICCIC.2012.6510245

Rajashree Sasamal, R. Shial

{"title":"Performance analysis of granular computing model based on Fuzzy based linear programming problem","authors":"Rajashree Sasamal, R. Shial","doi":"10.1109/ICCIC.2012.6510245","DOIUrl":"https://doi.org/10.1109/ICCIC.2012.6510245","url":null,"abstract":"Granular computing is not only a computing model for computer centered problem solving, but also a thinking model for human centered problem solving. In this paper we have discussed the architecture of granular computing models, strategies, and applications. Especially, comparison on the perspectives of granular computing in various aspects as AI, data mining and phases of software engineering are presented, including requirement specification, system analysis and design, algorithm design, structured programming, software testing. Here we have discovered the mining patterns in the sequence of events has been an area of active research in AI. However, the focus in this body of work is on discovering the rule underlying the generation of a given sequence in order to be able to predict a plausible sequence continuation(the rule to predict what number will come next, given a sequence of numbers). Here we have used the Fuzzy based linear programming problem of Granular computing model for the purpose of mathematical simulation and we have compared it with the different existing algorithms for better performance analysis.","PeriodicalId":340238,"journal":{"name":"2012 IEEE International Conference on Computational Intelligence and Computing Research","volume":"10 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131751854","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