2012 International Conference on Communication, Information & Computing Technology (ICCICT)最新文献_第6页

Mixed-signal convolutional encoder for a MB-OFDM transmitter 用于MB-OFDM发射机的混合信号卷积编码器

2012 International Conference on Communication, Information & Computing Technology (ICCICT) Pub Date : 2012-12-31 DOI: 10.1109/ICCICT.2012.6398112

Rupam Das, Asok Kumar, M. Sarkar, Soumyadep Dutta, Vivek Mukherjee

引用次数: 0

Neuro Analytical hierarchy process (NAHP) approach for CAD/CAM/CIM tool selection in the context of small manufacturing industries 基于神经层次分析法的小型制造业CAD/CAM/CIM工具选择

2012 International Conference on Communication, Information & Computing Technology (ICCICT) Pub Date : 2012-12-31 DOI: 10.1109/ICCICT.2012.6398139

D. Kalbande, S. Khan, G. Thampi

{"title":"Neuro Analytical hierarchy process (NAHP) approach for CAD/CAM/CIM tool selection in the context of small manufacturing industries","authors":"D. Kalbande, S. Khan, G. Thampi","doi":"10.1109/ICCICT.2012.6398139","DOIUrl":"https://doi.org/10.1109/ICCICT.2012.6398139","url":null,"abstract":"The purpose of this paper is to provide a methodology to assist small automobile manufacturing companies of India in selecting CAD/CAM system. The use of these tools in design and manufacturing of automobile applications makes it possible to remove much of the tedium and manual labor work involved. They allow complex designs to be made quicker and accurately. Many companies are using obsolete packages to design and manufacture automobiles. Since technology is changing rapidly and most companies cannot update with the technology advancements. They need to know what CAD/CAM packages are available and how to select one will help the companies. The selection of CAD/CAM/CIM tool/package is multi criteria, multi attribute, decision making process which involve many factors that can be solved using NAHP (Neuro Analytical Hierarchy Process). In NAHP, we are combining the power of AHP and Neural Network. To accomplish this purpose, data have been collected about current CAD/CAM systems. Important criteria for system selection and parameters for selection have also been identified and prioritized. NAHP is used as decision making technique to identify and prioritize important factors for selection of CAD/CAM/CIM system for small automobile manufacturing companies of India.","PeriodicalId":319467,"journal":{"name":"2012 International Conference on Communication, Information & Computing Technology (ICCICT)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114492896","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

Review of significant researches on multimedia information retrieval 多媒体信息检索的重要研究综述

2012 International Conference on Communication, Information & Computing Technology (ICCICT) Pub Date : 2012-12-31 DOI: 10.1109/ICCICT.2012.6398155

S. Jadhav, V. Patil

引用次数: 4

DSP based improved Speech Recognition system 基于DSP的改进语音识别系统

2012 International Conference on Communication, Information & Computing Technology (ICCICT) Pub Date : 2012-12-31 DOI: 10.1109/ICCICT.2012.6398181

Swapnil D. Daphal, S. Jagtap

引用次数: 4

Design and implementation of floating point multiplier based on Vedic Multiplication Technique 基于吠陀乘法技术的浮点乘法器的设计与实现

2012 International Conference on Communication, Information & Computing Technology (ICCICT) Pub Date : 2012-12-31 DOI: 10.1109/ICCICT.2012.6398204

Aniruddha Kanhe, S. K. Das, Ankit Kumar Singh

引用次数: 45

Software complexity: A fuzzy logic approach 软件复杂性:一种模糊逻辑方法

2012 International Conference on Communication, Information & Computing Technology (ICCICT) Pub Date : 2012-12-31 DOI: 10.1109/ICCICT.2012.6398233

S. Sabharwal, R. Sibal, P. Kaur

引用次数: 2

Wireless network security using dynamic rule generation of firewall 使用动态规则生成无线网络安全防火墙

2012 International Conference on Communication, Information & Computing Technology (ICCICT) Pub Date : 2012-12-31 DOI: 10.1109/ICCICT.2012.6398174

B. Chaudhari, P. Gothankar, A. Iyer, D. Ambawade

{"title":"Wireless network security using dynamic rule generation of firewall","authors":"B. Chaudhari, P. Gothankar, A. Iyer, D. Ambawade","doi":"10.1109/ICCICT.2012.6398174","DOIUrl":"https://doi.org/10.1109/ICCICT.2012.6398174","url":null,"abstract":"Wireless computing has evolved tremendously and is being used almost everywhere these days. With the obvious advantage of mobility and easy installation, it also provides service comparable to its wired counterpart. Wireless LANs are implemented in colleges,offices,campuses, and are fast growing. But security in a wireless environment is paramount, and it is essential to have secure transmission and reception of information. Hackers and Crackers can easily jeopardize and break into a LAN, and can compromise the confidentiality, and integrity of information. Hence, it is essential to provide some mechanism to ensure that sharing of information in a wireless environment, as well as the basic operation of a wireless LAN is without any risk. This paper presents a methodology by which we can achieve a secure wireless environment, and ensure information and user security. This paper discusses the various attacks on wireless systems, along with the rule generation for the firewall. The results of implementation, along with an analysis of the performance of the setup has been presented in this paper.","PeriodicalId":319467,"journal":{"name":"2012 International Conference on Communication, Information & Computing Technology (ICCICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133375053","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

Genetic algorithmic approach for security personnel scheduling 基于遗传算法的安全人员调度

2012 International Conference on Communication, Information & Computing Technology (ICCICT) Pub Date : 2012-12-31 DOI: 10.1109/ICCICT.2012.6398098

A. Adamuthe, Sandeep U. Mane, G. Thampi

引用次数: 6

Discrete time control technique for induction heating system 感应加热系统离散时间控制技术

2012 International Conference on Communication, Information & Computing Technology (ICCICT) Pub Date : 2012-12-31 DOI: 10.1109/ICCICT.2012.6398210

S. Tannu, R. Sawant, Y. S. Rao

引用次数: 1

Quality advancement of EEG by wavelet denoising for biomedical analysis 应用小波去噪提高脑电信号的生物医学分析质量

2012 International Conference on Communication, Information & Computing Technology (ICCICT) Pub Date : 2012-12-31 DOI: 10.1109/ICCICT.2012.6398151

S. Patil, M. Pawar

{"title":"Quality advancement of EEG by wavelet denoising for biomedical analysis","authors":"S. Patil, M. Pawar","doi":"10.1109/ICCICT.2012.6398151","DOIUrl":"https://doi.org/10.1109/ICCICT.2012.6398151","url":null,"abstract":"Interests on the human body have never decreased and research on it has never stopped since hundreds years ago. A study of EEG for analysis of composition of the brain and cognitive processes for biomedical applications is ongoing topic for research. For proper diagnosis of many neurological diseases such as epilepsy, tumors, problems associated with trauma accurate analysis of EEG signals is essential. In addition, to enhance the efficacy of Brain Computer Interface (BCI) systems it is required to determine methods of increasing the signal-to-noise ratio (SNR) of the observed EEG signals. EEG measured by placing electrodes on scalp usually has very small amplitude in microvolts, so the analysis of EEG data and the extraction of information from this data is a difficult problem. This problem become more complicated by the introduction of artifacts such as line noise from the power grid, eye blinks, eye movements, heartbeat, breathing, and other muscle activity. Discrete wavelet transform offers an effective solution for denoising nonstationary EEG signals. In this paper, wavelet denoising is applied to EEG acquired during performing different mental tasks. First decomposition of the EEG signal from database using five different types of wavelets viz. Haar, Daubechies, Symlet, Coiflet,Dmey is carried out. In denoising process, the thresholding method used for removing noise from contaminated EEG. Our objective to find best suitable wavelet type to particular task which gave better performance measure such as larger signal-to-Noise Ratio (SNR). The EEG database from the Colorado state university is used for experimentation.","PeriodicalId":319467,"journal":{"name":"2012 International Conference on Communication, Information & Computing Technology (ICCICT)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127760376","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: 26