2015 2nd International Conference on Electronics and Communication Systems (ICECS)最新文献

Enhancing security for multimodal biometric using Hyper Image Encryption Algorithm 利用超图像加密算法提高多模态生物识别的安全性

2015 2nd International Conference on Electronics and Communication Systems (ICECS) Pub Date : 2015-06-18 DOI: 10.1109/ECS.2015.7125053

K. Nivetha, D. Saraswady

引用次数: 2

Facial expression recognition using feature based techniques and model based techniques: A survey 基于特征和基于模型的面部表情识别技术综述

2015 2nd International Conference on Electronics and Communication Systems (ICECS) Pub Date : 2015-06-18 DOI: 10.1109/ECS.2015.7124976

Bishwas Mishra, S. Fernandes, K. Abhishek, A. Alva, Chaithra Shetty, Chandan V. Ajila, Dhanush Shetty, Harshitha A. Rao, P. Shetty

{"title":"Facial expression recognition using feature based techniques and model based techniques: A survey","authors":"Bishwas Mishra, S. Fernandes, K. Abhishek, A. Alva, Chaithra Shetty, Chandan V. Ajila, Dhanush Shetty, Harshitha A. Rao, P. Shetty","doi":"10.1109/ECS.2015.7124976","DOIUrl":"https://doi.org/10.1109/ECS.2015.7124976","url":null,"abstract":"Facial expression is a way of non-verbal communication. A person depicts his/her feelings through facial expressions. In computer systems facial expressions help in verification, identification and authentication. One popular use of facial expression recognition is automatic feedback capture from customers upon reacting to a particular product. Effective recognition technology is in high demand by the common users of today's gadgets and technologies. Facial expression recognition technique is broadly classified into two techniques: Feature based techniques and Model based techniques. The key contribution of this article is that we have analyzed latest state of the art techniques in Feature based techniques and Model based techniques. These techniques are analyzed using various standard public face databases: GEMEP-FERA, BU-3DFE, CK+, Bosphorous, MMI, JAFFE, LFW, FERET, CMU-PIE, Georgia tech, AR, eNTERFACE 05 and FRGC. From our analysis we found that for Feature based Curvelet approach performed on FRGCv2 database gave an excellent 97.83% recognition rate and Model based textured 3D video technique performed on BU-4DFE database gave an excellent 94.34 % recognition rate.","PeriodicalId":202856,"journal":{"name":"2015 2nd International Conference on Electronics and Communication Systems (ICECS)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123167572","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: 28

A novel approach on Cuckoo search algorithm using Gamma distribution 一种基于伽马分布的布谷鸟搜索算法

2015 2nd International Conference on Electronics and Communication Systems (ICECS) Pub Date : 2015-06-18 DOI: 10.1109/ECS.2015.7124948

Sourya Roy, Arijit Mallick, Sheli Sinha Chowdhury, Sangita Roy

引用次数: 13

Enhanced stego-crypto techniques of data hiding through geometrical figures in an image 通过图像中的几何图形隐藏数据的增强隐密码技术

2015 2nd International Conference on Electronics and Communication Systems (ICECS) Pub Date : 2015-06-18 DOI: 10.1109/ECS.2015.7124766

C. Geetha, C. Puttamadappa

引用次数: 3

On the PDF of the square of constrained minimal singular value for robust signal recovery analysis 基于约束最小奇异值平方的鲁棒信号恢复分析

2015 2nd International Conference on Electronics and Communication Systems (ICECS) Pub Date : 2015-06-18 DOI: 10.1109/ECS.2015.7124876

O. James

引用次数: 1

Categorize the video server in P2P networks based on seasonal and normal popularity videos using machine learning approach 利用机器学习方法对P2P网络中基于季节性和正常流行视频的视频服务器进行分类

2015 2nd International Conference on Electronics and Communication Systems (ICECS) Pub Date : 2015-06-18 DOI: 10.1109/ECS.2015.7124778

M. Narayanan, C. Arun

{"title":"Categorize the video server in P2P networks based on seasonal and normal popularity videos using machine learning approach","authors":"M. Narayanan, C. Arun","doi":"10.1109/ECS.2015.7124778","DOIUrl":"https://doi.org/10.1109/ECS.2015.7124778","url":null,"abstract":"There is a wide-ranging use of Peer-to-Peer (P2P) computing and applications in majority of the key areas of Engineering and Technology. Devoid of any centralized server, they can share their content since peers are linked with each other. This is the reason why P2P computing gives enhanced communication among peers. It is essential for the video server to maintain the data content link in cache memory so the cache memory sizes will be enlarged to a definite level and also the cache needs to be securely sustained by each and every peers. By utilizing the Machine Learning method, the proposed method centers its concentration on classifying the video server depending on seasonal and non seasonal popularity. Two supervised Machine Learning algorithms are utilized in this paper and are explained as follows. The Case-Based Reasoning algorithm is utilized in order to sort out well-liked videos and the Averaged One-Dependence Estimators (AODE) algorithm is utilized to sort out video server into seasonal and non-seasonal. The first algorithm is based on Retrieve, Reuse, Revise and Retain methods and the latter algorithm sorts out the video server into seasonal and non-seasonal based video servers. The work simulated by Java programming language.","PeriodicalId":202856,"journal":{"name":"2015 2nd International Conference on Electronics and Communication Systems (ICECS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123336115","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

NRZ encoded pilots for Semi Blind Channel estimation 用于半盲信道估计的NRZ编码导频

2015 2nd International Conference on Electronics and Communication Systems (ICECS) Pub Date : 2015-06-18 DOI: 10.1109/ECS.2015.7124924

K. Deepak, B. Malarkodi, K. Sagar

引用次数: 0

Survey on fault tolerant — Load balancing algorithmsin cloud computing 云计算中容错-负载均衡算法研究综述

2015 2nd International Conference on Electronics and Communication Systems (ICECS) Pub Date : 2015-06-18 DOI: 10.1109/ECS.2015.7124879

G. P. Sarmila, N. Gnanambigai, P. Dinadayalan

引用次数: 7

Unsupervised feature selection using binary bat algorithm 基于二进制bat算法的无监督特征选择

2015 2nd International Conference on Electronics and Communication Systems (ICECS) Pub Date : 2015-06-18 DOI: 10.1109/ECS.2015.7124945

A. Rani, R. Rajalaxmi

引用次数: 25

Streaming high definition video over heterogeneous wireless networks(HWN) 在异构无线网络(HWN)上流式传输高清视频

2015 2nd International Conference on Electronics and Communication Systems (ICECS) Pub Date : 2015-06-18 DOI: 10.1109/ECS.2015.7124892

D. Poornima, S. Vijayashaarathi

引用次数: 1