2012 International Conference on Computing, Communication and Applications最新文献

Performance analysis of unsupervised feature selection methods 无监督特征选择方法的性能分析

2012 International Conference on Computing, Communication and Applications Pub Date : 2013-06-06 DOI: 10.1109/ICCCA.2012.6179181

A. Parveen, H. Inbarani, E. Sathishkumar

引用次数: 25

An improved lane departure method for Advanced Driver Assistance System 一种改进的高级驾驶员辅助系统车道偏离方法

2012 International Conference on Computing, Communication and Applications Pub Date : 2012-04-05 DOI: 10.1109/ICCCA.2012.6179148

V. Gaikwad, S. Lokhande

引用次数: 21

Design and implementation of AMBE based Voice Codec Module over custom FPGA platform 基于AMBE的语音编解码模块在定制FPGA平台上的设计与实现

2012 International Conference on Computing, Communication and Applications Pub Date : 2012-04-05 DOI: 10.1109/ICCCA.2012.6179127

Kapil Mahawar, Vishal Kumar, H. Gupta

引用次数: 5

Class-C power amplifier design for GSM application GSM应用的c类功率放大器设计

2012 International Conference on Computing, Communication and Applications Pub Date : 2012-04-05 DOI: 10.1109/ICCCA.2012.6179216

Lopamudra Samal, Kamalakanta Mahapatra, K. Raghuramaiah

引用次数: 9

Intelligent mind mapper — An advanced computational model for identifying criminal behavior 智能思维导图-一个先进的计算模型，用于识别犯罪行为

2012 International Conference on Computing, Communication and Applications Pub Date : 2012-04-05 DOI: 10.1109/ICCCA.2012.6179206

K. Hussain, M. Durairaj, G. Farzana

引用次数: 0

Cardiovascular disease prediction system using genetic algorithm and neural network 基于遗传算法和神经网络的心血管疾病预测系统

2012 International Conference on Computing, Communication and Applications Pub Date : 2012-04-05 DOI: 10.1109/ICCCA.2012.6179185

N. Amma

{"title":"Cardiovascular disease prediction system using genetic algorithm and neural network","authors":"N. Amma","doi":"10.1109/ICCCA.2012.6179185","DOIUrl":"https://doi.org/10.1109/ICCCA.2012.6179185","url":null,"abstract":"Medical Diagnosis Systems play a vital role in medical practice and are used by medical practitioners for diagnosis and treatment. In this paper, a medical diagnosis system is presented for predicting the risk of cardiovascular disease. This system is built by combining the relative advantages of genetic algorithm and neural network. Multilayered feed forward neural networks are particularly suited to complex classification problems. The weights of the neural network are determined using genetic algorithm because it finds acceptably good set of weights in less number of iterations. The dataset provided by University of California, Irvine (UCI) machine learning repository is used for training and testing. It consists of 303 instances of heart disease data each having 14 attributes including the class label. First, the dataset is preprocessed in order to make them suitable for training. Genetic based neural network is used for training the system. The final weights of the neural network are stored in the weight base and are used for predicting the risk of cardiovascular disease. The classification accuracy obtained using this approach is 94.17%.","PeriodicalId":408180,"journal":{"name":"2012 International Conference on Computing, Communication and Applications","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133873484","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: 57

Design and analysis of OFDM based CRAHN with common control channel 基于OFDM的通用控制信道CRAHN的设计与分析

2012 International Conference on Computing, Communication and Applications Pub Date : 2012-04-05 DOI: 10.1109/ICCCA.2012.6179140

T. Vidhya, V. Arun

{"title":"Design and analysis of OFDM based CRAHN with common control channel","authors":"T. Vidhya, V. Arun","doi":"10.1109/ICCCA.2012.6179140","DOIUrl":"https://doi.org/10.1109/ICCCA.2012.6179140","url":null,"abstract":"In wireless communication, the important factor to face its spectrum scarcity; to solve that scenario we are going to use the spectrum opportunistically. The Cognitive radio (CR) technology is defined to solve the problems in wireless networks resulting from the limited available spectrum and the inefficiency in the spectrum usage by sharing the existing wireless spectrum opportunistically. In cognitive radio ad hoc networks (CRAHNs), the distributed multi-hop architecture, the dynamic network topology, and the time and location varying spectrum availability are some of the key distinguishing factors. OFDM multicarrier communication technique is chosen in Cognitive Radio Networks due to its inherent capability of transmission and reception in variable bandwidth and in multiple chunks of subcarriers called sub channels. In this paper, non contiguous OFDM subcarriers placed within the dynamic guard bands based always-on, dedicated out-of-band common control channel (CCC) design is proposed for efficient spectrum utilization. Our proposed CCC design is to ensure the spectrum sharing, network connectivity, efficient data rate of CR users and dynamic guard bands when compared to cluster based and sequence based CCC design.","PeriodicalId":408180,"journal":{"name":"2012 International Conference on Computing, Communication and Applications","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133575972","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

Secure enhancement scheme for detecting selfish nodes in MANET MANET中检测自利节点的安全增强方案

2012 International Conference on Computing, Communication and Applications Pub Date : 2012-04-05 DOI: 10.1109/ICCCA.2012.6179133

M. Tamilarasi, T. Sundararajan

引用次数: 13

Shuffled Frog Leaping Algorithm for solving profit based unit commitment problem 求解基于利润的单位承诺问题的洗牌青蛙跳跃算法

2012 International Conference on Computing, Communication and Applications Pub Date : 2012-04-05 DOI: 10.1109/ICCCA.2012.6179234

K. Selvakumar, R. Vignesh, R. Vijayabalan

{"title":"Shuffled Frog Leaping Algorithm for solving profit based unit commitment problem","authors":"K. Selvakumar, R. Vignesh, R. Vijayabalan","doi":"10.1109/ICCCA.2012.6179234","DOIUrl":"https://doi.org/10.1109/ICCCA.2012.6179234","url":null,"abstract":"In this paper, Shuffled Frog Leaping Algorithm (SFLA) is employed to solve the profit based unit commitment problem (PBUCP) under deregulated environment, to maximize the GENeration Companies (GENCO) profit. This paper presents a new approach of GENCOs profit based unit commitment using SFLA technique in a day ahead competitive electricity markets. Profit-based UC formulation considers the softer demand constraint and allocates fixed and transitional costs to the scheduled hours. Deregulation is unbundling of vertically integrated power system into generation (GENCOs), transmission (TRANSCOs) and distribution companies (DISCOs). Deregulation in power sector increases the efficiency of electricity production and distribution, offer lower prices, higher quality, secure, more reliable product and also it has the advantage that customers are allowed to choose their suppliers. This technique achieved great challenges for the power industry and thus an individual human can take their own decision by choosing the reliable continuous supply of power from the electricity markets at an affordable price. Under restructured system, GENeration COmpanies schedules their generators with the objective of maximizing their profit. This proposed algorithm is for a small unit test system with 10 units 24 hour data and the simulations are carried out to show the performance of proposed methodology using MATLAB software. It is observed from the simulation results that the proposed algorithm provides maximum profit with less computational time compared to existing techniques.","PeriodicalId":408180,"journal":{"name":"2012 International Conference on Computing, Communication and Applications","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115593523","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: 11

Multiple task migration in mesh network on chips over virtual point-to-point connections 基于虚拟点对点连接的芯片网状网络多任务迁移

2012 International Conference on Computing, Communication and Applications Pub Date : 2012-04-05 DOI: 10.1109/ICCCA.2012.6179171

E. L. Prasad, V. Sivasankaran, V. Nagarajan

引用次数: 4