2013 Annual IEEE India Conference (INDICON)最新文献_第7页

Feature weighted clustering of mixed data sets by hybrid evolutionary algorithm 基于混合进化算法的混合数据集特征加权聚类

2013 Annual IEEE India Conference (INDICON) Pub Date : 2013-12-01 DOI: 10.1109/INDCON.2013.6726029

D. Dutta, P. Dutta, J. Sil

引用次数: 0

High-input impedance first order all-pass filters using DDCC 采用DDCC的高输入阻抗一阶全通滤波器

2013 Annual IEEE India Conference (INDICON) Pub Date : 2013-12-01 DOI: 10.1109/INDCON.2013.6726073

Vijay Kumar Dixit, Rajeev Gupta, K. Pal

引用次数: 2

Multilingual speaker recognition on Indian languages 印度语言的多语种说话人识别

2013 Annual IEEE India Conference (INDICON) Pub Date : 2013-12-01 DOI: 10.1109/INDCON.2013.6726131

Sourjya Sarkar, K. S. Rao, Dipanjan Nandi, S. B. S. Kumar

引用次数: 8

FPGA-based emulator for functional verification of radio frequency interference mitigation algorithms 基于fpga的射频干扰抑制算法功能验证仿真器

2013 Annual IEEE India Conference (INDICON) Pub Date : 2013-12-01 DOI: 10.1109/INDCON.2013.6725942

K. Buch, A. Darji

引用次数: 1

Analysis and design of enhanced real and reactive power control schemes for grid connected Doubly Fed Induction Generator 并网双馈感应发电机增强实功和无功控制方案的分析与设计

2013 Annual IEEE India Conference (INDICON) Pub Date : 2013-12-01 DOI: 10.1109/INDCON.2013.6725980

D. Ananth, G. V. Kumar, T. Gayathri

引用次数: 2

Design of miniature CPW-Fed dual band antenna using coupling strips for GSM/Wi-Fi/WLAN applications GSM/Wi-Fi/WLAN应用中使用耦合带的微型cpw馈电双频天线设计

2013 Annual IEEE India Conference (INDICON) Pub Date : 2013-12-01 DOI: 10.1109/INDCON.2013.6725914

V. Naidu, Raj Kumar

引用次数: 2

Face recognition using entropy-augmented face isolation and image folding as pre-processing techniques 以熵增强人脸隔离和图像折叠为预处理技术的人脸识别

2013 Annual IEEE India Conference (INDICON) Pub Date : 2013-12-01 DOI: 10.1109/INDCON.2013.6725928

K. N. Nischal, M. P. Nayak, K. Manikantan, S. Ramachandran

{"title":"Face recognition using entropy-augmented face isolation and image folding as pre-processing techniques","authors":"K. N. Nischal, M. P. Nayak, K. Manikantan, S. Ramachandran","doi":"10.1109/INDCON.2013.6725928","DOIUrl":"https://doi.org/10.1109/INDCON.2013.6725928","url":null,"abstract":"The appearance of the face varies drastically when background, pose and illumination change. Variations in these conditions make Face Recognition (FR) an even more challenging and difficult task. In this paper, we propose two novel preprocessing techniques, viz., Entropy Augmented Face Isolation (EAFI) and Image Folding, to improve the performance of the FR system. EAFI is used to localize the face region to minimize the effect of cluttered background, thereby enhancing face recognition. Image Folding uses the property of vertical symmetry in the human face to normalize pose variance. The resulting pre-processed image contains the salient details of the face and prepares the ground for feature extraction. Individual stages of the FR system are examined and an attempt is made to improve each stage. DWT and DCT are used for efficient feature extraction and a Binary Particle Swarm Optimization (BPSO) based feature selection algorithm is used to search the feature space for the optimal feature subset. Experimental results show the promising performance of the proposed techniques for face recognition on three benchmark face databases, namely, Color FERET, CMUPIE and Georgia Tech (GT) databases.","PeriodicalId":313185,"journal":{"name":"2013 Annual IEEE India Conference (INDICON)","volume":"7 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133622815","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: 3

Enhanced hydrogen sensitivity and selectivity of ZnO-SnO2 based sensor 提高了ZnO-SnO2基传感器的氢灵敏度和选择性

2013 Annual IEEE India Conference (INDICON) Pub Date : 2013-12-01 DOI: 10.1109/INDCON.2013.6726021

B. Mondal, C. Roychaudhury, J. Das, Sugato Ghosh, H. Saha

引用次数: 0

A novel approach to crosstalk noise analysis in CMOS inverter driven coupled RLC interconnects CMOS逆变器驱动耦合RLC互连串扰噪声分析的新方法

2013 Annual IEEE India Conference (INDICON) Pub Date : 2013-12-01 DOI: 10.1109/INDCON.2013.6726011

C. Paidimarry, B. P. Kumar, S. Katkoori

{"title":"A novel approach to crosstalk noise analysis in CMOS inverter driven coupled RLC interconnects","authors":"C. Paidimarry, B. P. Kumar, S. Katkoori","doi":"10.1109/INDCON.2013.6726011","DOIUrl":"https://doi.org/10.1109/INDCON.2013.6726011","url":null,"abstract":"The performance of modern integrated circuits is significantly influenced by coupling effects of interconnects. Crosstalk noise must therefore be analyzed in the early stage of design to develop reliable VLSI interconnects. In this paper, we present a closed form crosstalk noise estimation technique to coupled RLC interconnects based on coupled transmission line theory and Fourier series analysis. The salient features of our model include accuracy, computational efficiency and continuous time domain solution. We analyze the impact of finite resistance in coupled RLC interconnects. The nonlinear behavior of the driver (CMOS inverter) is captured well in the proposed model. We introduce a novel technique to model CMOS inverter, namely MRLM (Multiple Ramp Library Model). It replaces the nonlinear driver into its equivalent RC model. The resultant circuit resembles with the simple coupled RLC interconnect in the absence of inverters and hence the same analysis is extended after the replacement. Based on our continuous time defined models, we derive analytical models for delay and energy dissipation due to interconnect. In addition, this work emphasizes on improving the performance namely computational efficiency. Simulations of our analytical models and SPICE are demonstrated by assuming different sets of line parameters. It is shown from the numerical results that our estimates match closely with that of SPICE simulations at a mean estimation error of 2.25 percentage.","PeriodicalId":313185,"journal":{"name":"2013 Annual IEEE India Conference (INDICON)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117348935","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

A multi-point Bidirectional Contactless Charging System in a charging station suitable for EVs and PHEVs applications 适合电动汽车和插电式混合动力汽车应用的充电站多点双向非接触式充电系统

2013 Annual IEEE India Conference (INDICON) Pub Date : 2013-12-01 DOI: 10.1109/INDCON.2013.6725929

T. J. P. Joy, K. Thirugnanam, Praveen Kumar

引用次数: 9