2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON)最新文献_第9页

Deep belief network based affect recognition from physiological signals 基于深度信念网络的生理信号情感识别

2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) Pub Date : 2017-10-01 DOI: 10.1109/UPCON.2017.8251115

P. Kawde, G. Verma

引用次数: 19

Adaptive control of a grid-connected SPV system with DSTATCOM capabilities 具有DSTATCOM功能的并网SPV系统的自适应控制

2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) Pub Date : 2017-10-01 DOI: 10.1109/UPCON.2017.8251090

Bakul Kandpal, K. Tomar, Ikhlaq Hussain, Bhim Singh

引用次数: 7

Adaptive power management of hybrid electric vehicle with neural based PID controller 基于神经网络PID控制器的混合动力汽车自适应功率管理

2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) Pub Date : 2017-10-01 DOI: 10.1109/UPCON.2017.8251101

S. Rajput, Bedatri Moulik, H. Singh

引用次数: 1

PSPS: An IoT based predictive smart parking system PSPS:基于物联网的预测性智能停车系统

2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) Pub Date : 2017-10-01 DOI: 10.1109/UPCON.2017.8251066

R. K. Lenka, Rabindra Kumar Barik, N. Das, Kriti Agarwal, Debesh Mohanty, Swati Vipsita

引用次数: 19

Detection techniques of DDoS attacks: A survey DDoS攻击检测技术综述

2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) Pub Date : 2017-10-01 DOI: 10.1109/UPCON.2017.8251130

Priyanka Kamboj, M. Trivedi, Virendra Kumar Yadav, V. Singh

引用次数: 25

Cellular automata based color image watermarking using NSCT and SVD 基于细胞自动机的NSCT和SVD彩色图像水印

2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) Pub Date : 2017-10-01 DOI: 10.1109/UPCON.2017.8251052

C. Saha, Md. Foisal Hossain

{"title":"Cellular automata based color image watermarking using NSCT and SVD","authors":"C. Saha, Md. Foisal Hossain","doi":"10.1109/UPCON.2017.8251052","DOIUrl":"https://doi.org/10.1109/UPCON.2017.8251052","url":null,"abstract":"Cellular automata based color image watermarking using non sub sampled contourlet transform (NSCT) and singular value decomposition (SVD) is presented in this paper. Game of life (GOL) cellular automata is used to scramble binary watermark so that no one can recover the watermark without secret scrambling keys. Because of the salient features like multiscale, multidirection and shift invariance of NSCT, 2-level NSCT is applied to red, green and blue component of RGB cover image. Most of the perceptual content of an image focuses on low frequency subband of NSCT and the singular values taken from low frequency subband have certain stability. So a modest change in the singular values taken from low frequency subband of NSCT is applicable. In this proposed scheme, each singular value of scrambled binary watermark is embedded in fixed location of singular value matrix of low frequency subbands of NSCT of red, green and blue components. The scheme offers security, imperceptibility and robustness against various image processing and geometric attacks like Gaussian white noise, salt and pepper noise, median filtering, JPEG compression, cropping and rotation. The proposed scheme is compared with existing watermarking schemes in terms of Peak Signal to Noise ratio (PSNR), Normalized Correlation (NC)and provides satisfactory performance than other schemes.","PeriodicalId":422673,"journal":{"name":"2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123095527","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

Mobile phone based diabetic retinopathy detection system using ANN-DWT 基于手机的糖尿病视网膜病变ANN-DWT检测系统

2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) Pub Date : 2017-10-01 DOI: 10.1109/UPCON.2017.8251092

N. Kashyap, D. Singh, G. Singh

引用次数: 12

PMU installation in power grid for enhanced situational awareness: Challenges, issues and application 为增强态势感知而在电网中安装PMU:挑战、问题和应用

2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) Pub Date : 2017-10-01 DOI: 10.1109/UPCON.2017.8251127

Mohd Zuhaib, M. Rihan

引用次数: 9

Speech Mel Frequency Cepstral Coefficient feature classification using multi level support vector machine 基于多级支持向量机的语音梅尔频率倒谱系数特征分类

2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) Pub Date : 2017-10-01 DOI: 10.1109/UPCON.2017.8251036

Abhay Kumar, Sidhartha Sankar Rout, Varun Goel

{"title":"Speech Mel Frequency Cepstral Coefficient feature classification using multi level support vector machine","authors":"Abhay Kumar, Sidhartha Sankar Rout, Varun Goel","doi":"10.1109/UPCON.2017.8251036","DOIUrl":"https://doi.org/10.1109/UPCON.2017.8251036","url":null,"abstract":"This paper presents the combined application of machine learning algorithm MLSVM (multi level support vector machine) and feature vector MFCC (Mel Frequency Cepstral Coefficient) to improve the result of speech recognition in comparison to other algorithm which involve formant as feature vector and KNN (k-nearest neighbour), Tree, LDA (linear discriminant analysis) and QDA (quadrature discriminant analysis) as machine learning algorithms. Problem with a machine learning algorithm like KNN, Tree, LDA and QDA is that the accuracy of recognition is limited to increase in the database and training set percentage with respect to total a database available. In this paper analysis and comparison is done between feature vector inspired by speech generation and hearing model to improve the result of recognition for larger database of twenty words. The twenty words are used to generate forty commands which are sufficient to control the on and off state of twenty homes or office appliances. The paper also presents the brief analysis of the effect of training set percentage on the accuracy.","PeriodicalId":422673,"journal":{"name":"2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128307029","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: 8

Design of FPGA based horizontal velocity computation and image storage unit for lunar lander 基于FPGA的月球着陆器水平速度计算与图像存储单元设计

2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) Pub Date : 2017-10-01 DOI: 10.1109/UPCON.2017.8251104

Tanisha Bhatia, J. Laha, A. Maji, Arindam Mal, K. Subhalakshmi

引用次数: 1