International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012)最新文献_第7页

Fuzzy-ant based dynamic routing on large road networks 基于模糊蚁群的大型路网动态路由

International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012) Pub Date : 2012-03-21 DOI: 10.1109/ICPRIME.2012.6208338

M. Geetha, G. Nawaz

引用次数: 1

Text extraction from digital English comic image using two blobs extraction method 基于双斑点提取方法的数字英语漫画图像文本提取

International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012) Pub Date : 2012-03-21 DOI: 10.1109/ICPRIME.2012.6208388

M. Sundaresan, S. Ranjini

引用次数: 14

Channel estimation techniques for OFDM systems OFDM系统的信道估计技术

International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012) Pub Date : 2012-03-21 DOI: 10.1109/ICPRIME.2012.6208301

K. Vidhya, R. Kumar

引用次数: 11

Electronic voting machine — A review 电子投票机——回顾

International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012) Pub Date : 2012-03-21 DOI: 10.1109/ICPRIME.2012.6208285

D. A. Kumar, T. Ummal, Sariba Begum

{"title":"Electronic voting machine — A review","authors":"D. A. Kumar, T. Ummal, Sariba Begum","doi":"10.1109/ICPRIME.2012.6208285","DOIUrl":"https://doi.org/10.1109/ICPRIME.2012.6208285","url":null,"abstract":"Electronic Voting Machine (EVM) is a simple electronic device used to record votes in place of ballot papers and boxes which were used earlier in conventional voting system. Fundamental right to vote or simply voting in elections forms the basis of democracy. All earlier elections be it state elections or centre elections a voter used to cast his/her favorite candidate by putting the stamp against his/her name and then folding the ballot paper as per a prescribed method before putting it in the Ballot Box. This is a long, time-consuming process and very much prone to errors. This situation continued till election scene was completely changed by electronic voting machine. No more ballot paper, ballot boxes, stamping, etc. all this condensed into a simple box called ballot unit of the electronic voting machine. Because biometric identifiers cannot be easily misplaced, forged, or shared, they are considered more reliable for person recognition than traditional token or knowledge based methods. So the Electronic voting system has to be improved based on the current technologies viz., biometric system. This article discusses complete review about voting devices, Issues and comparison among the voting methods and biometric EVM.","PeriodicalId":148511,"journal":{"name":"International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132838731","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: 64

ORZEF: An optimized routing using zone to establish security in MANET using multipath and friend-based ad hoc routing ORZEF:一种使用区域的优化路由，在使用多路径和基于朋友的自组织路由的MANET中建立安全性

International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012) Pub Date : 2012-03-21 DOI: 10.1109/ICPRIME.2012.6208347

Gokulnath Thandavarayan, K. Sangeetha, S. Seerangan

引用次数: 2

Feature extraction for multimodal biometric and study of fusion using Gaussian mixture model 多模态生物特征提取及高斯混合模型融合研究

International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012) Pub Date : 2012-03-21 DOI: 10.1109/ICPRIME.2012.6208377

S. Vivek, J. Aravinth, S. Valarmathy

引用次数: 14

MFE-HC: The maximizing feature elimination technique based hybrid classifier for cancer molecular pattern discovery MFE-HC:基于最大特征消除技术的癌症分子模式发现混合分类器

International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012) Pub Date : 2012-03-21 DOI: 10.1109/ICPRIME.2012.6208375

I. Julie, E. Kirubakaran

{"title":"MFE-HC: The maximizing feature elimination technique based hybrid classifier for cancer molecular pattern discovery","authors":"I. Julie, E. Kirubakaran","doi":"10.1109/ICPRIME.2012.6208375","DOIUrl":"https://doi.org/10.1109/ICPRIME.2012.6208375","url":null,"abstract":"The most important application of Microarray for gene expression analysis is used to discover or classify the unknown tissue samples with the help of known tissue samples. Several Data Mining Classifiers have been proposed recently to predict/identify the cancer patterns. In this research work, we have focused and studied a few Classification Techniques such as Support Vector Machine (SVM), Nearest Neighbor Classifier (k-NN), ICS4, Non-Parallel Plane Proximal Classifier (NPPC), NPPC-SVM, and Margin-based Feature Elimination-SVM (MFE-SVM). The performances of these classifiers have been analyzed in terms of Threshold Level, Execution Time, Memory Usage and Memory Utilization. From our experimental results, we revealed that the Threshold level and Execution Time to predict the Cancer Patterns are different for different Classifiers. Our experimental results established that among the above identified classifiers, the k-NN classifier achieves less Threshold to predict the cancer pattern, but however it consumes more execution time, whereas the MFE-SVM achieves less execution time to predict the cancer pattern, but it still needs more threshold to predict the Pattern. That is to find the best single classifier in terms of Threshold and Execution Time is still complicated. To address this major issue, we have proposed an efficient Classifier called Maximizing Feature Elimination Technique based Hybrid Classifier (MFE-HC), which is the combination of both k-NN and SVM classifiers. From the results, it is established that our proposed work performs better than both the k-NN and MFE-SVM Classifiers interms of Threshold and Execution Time.","PeriodicalId":148511,"journal":{"name":"International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130594397","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: 1

Novel reconfigurable architecture with low complexity FIR filter 新颖的可重构结构，低复杂度FIR滤波器

International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012) Pub Date : 2012-03-21 DOI: 10.1109/ICPRIME.2012.6208303

Sagadevan K V Babu, Samson S Arivumani, Asst Pg Scholar, Asst Prof, Prof

引用次数: 1

Vegetable price prediction using data mining classification technique 基于数据挖掘分类技术的蔬菜价格预测

International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012) Pub Date : 2012-03-21 DOI: 10.1109/ICPRIME.2012.6208294

G. M. Nasira, N. Hemageetha

引用次数: 24

Single-term Haar wavelet series technique for time varying linear and non-linear singular systems 时变线性和非线性奇异系统的单项Haar小波序列技术

International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012) Pub Date : 2012-03-21 DOI: 10.1109/ICPRIME.2012.6208373

S. Sekar, K. Prabakaran, E. Paramanathen

引用次数: 0