2005 Annual IEEE India Conference - Indicon最新文献

Classification of Stressed Speech using Gaussian Mixture Model 基于高斯混合模型的重音分类

2005 Annual IEEE India Conference - Indicon Pub Date : 2005-12-11 DOI: 10.1109/INDCON.2005.1590186

H. Patro, G. Raja, S. Dandapat

引用次数: 3

Real Time Fault Diagnosis for a Heat Exchanger — A Model Based Approach 换热器的实时故障诊断&#8212基于模型的方法

2005 Annual IEEE India Conference - Indicon Pub Date : 2005-12-11 DOI: 10.1109/INDCON.2005.1590128

R. Krishnan, N. Pappa

引用次数: 8

Performance Analysis of Dictionary based Data Compression Algorithms for High Speed Networks 高速网络中基于字典的数据压缩算法性能分析

2005 Annual IEEE India Conference - Indicon Pub Date : 2005-12-11 DOI: 10.1109/INDCON.2005.1590190

S. Subathra, M. Sethuraman, J. V. B. James, Lempel Ziv

引用次数: 5

Continuous Localization of Mobile Robots using Systematical Error Correction and a New Computational Algorithm 基于系统误差校正的移动机器人连续定位及新算法

2005 Annual IEEE India Conference - Indicon Pub Date : 2005-12-11 DOI: 10.1109/INDCON.2005.1590231

J. W. Yeol

引用次数: 0

Space Time Adaptive Processing for DS-CDMA UWB Systems DS-CDMA超宽带系统的时空自适应处理

2005 Annual IEEE India Conference - Indicon Pub Date : 2005-12-11 DOI: 10.1109/INDCON.2005.1590150

Chenai Inda, S. Thiruvengadam, A. Karthikeyan, M. Bama, V. Abhaikumar

引用次数: 2

Neural Network Based Control of Reduced Rating DSTATCOM 基于神经网络的降阶DSTATCOM控制

2005 Annual IEEE India Conference - Indicon Pub Date : 2005-12-11 DOI: 10.1109/INDCON.2005.1590224

B. Singh, J. Solanki, V. Verma

{"title":"Neural Network Based Control of Reduced Rating DSTATCOM","authors":"B. Singh, J. Solanki, V. Verma","doi":"10.1109/INDCON.2005.1590224","DOIUrl":"https://doi.org/10.1109/INDCON.2005.1590224","url":null,"abstract":"This paper presents a DSTATCOM controlled by a neural network based reference current extractor (NNREC) and rating reduction by use of shunt connected capacitor bank for three-phase three-wire system. The working of DSTATCOM with self supported dc bus is used in two different modes; one is, unity power factor (UPF) mode and second is, zero voltage regulation (ZVR) mode. The heart of the control of DSTATCOM is the derivation of reference currents, which decide the switching of three legs of voltage source inverter (VSI) used in DSTATCOM. The NNRCE is used for control of DSTATCOM, which operates on LMS algorithm. The real positive sequence current component of current is extracted using NNRCE without any phase shift. A PI controller is used to regulate the voltage across the capacitor connected at the dc bus of the VSI. In the ac voltage regulation mode, second PI controller is used to maintain the constant voltage at PCC with variation of load. To reduce the rating of DSTATCOM, an ac capacitor bank of almost half rating of the VAR required is connected at the load end. The simulations are carried out in MATLAB environment for unity power factor operation and ac voltage regulation through leading power factor operation. Simulation results verify the effectiveness of the DSTATCOM system to meet the requirements of distribution system","PeriodicalId":158362,"journal":{"name":"2005 Annual IEEE India Conference - Indicon","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121422752","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: 22

A Reliable Solution(s) for Molecule based Unreliable Memory Devices 基于分子的不可靠存储器件的可靠解决方案

2005 Annual IEEE India Conference - Indicon Pub Date : 2005-12-11 DOI: 10.1109/INDCON.2005.1590180

V. Lavanya, A.U. Kumar

{"title":"A Reliable Solution(s) for Molecule based Unreliable Memory Devices","authors":"V. Lavanya, A.U. Kumar","doi":"10.1109/INDCON.2005.1590180","DOIUrl":"https://doi.org/10.1109/INDCON.2005.1590180","url":null,"abstract":"In the recent years a lot of research effort is being spent in the areas of nanotechnology, quantum computation, and biologically inspired computing. In this miniaturized computing era, device sizes are in the range of several nanometers and hence amenable to high degree of failures. These computing designs must be evaluated from a circuit and system perspective, in terms of the four key metrics: power, performance, robustness and reliability. However, a matter of concern over here is that the technology of the small will be ridden with random faults and manufacturing defects. Hence, design strategies need to change to take into account of these hypothetical models of failures to build a robust design. The main objective of the paper is to propose two reliable solutions towards the possible faults in Molecule-based memories. One of the solutions encourages using redundant memories to sustain the defects. Another solution introduces the concept of sensing the stored data in the memory. There may be an overhead of redundancy and computation in these solutions. But it will ensure a fault tolerant system. Moreover, in this kind of miniscule technology those overheads can be tolerated and can be compensated from its high performance with low power utilization, reduced size and cost.","PeriodicalId":158362,"journal":{"name":"2005 Annual IEEE India Conference - Indicon","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127631732","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

Web Based Diagnostic Classifier System for Kidney Lesions using Image Texture Parameters 基于图像纹理参数的肾脏病变Web诊断分类系统

2005 Annual IEEE India Conference - Indicon Pub Date : 2005-12-11 DOI: 10.1109/INDCON.2005.1590159

G. Kulanthaivel, G. Ravindran

{"title":"Web Based Diagnostic Classifier System for Kidney Lesions using Image Texture Parameters","authors":"G. Kulanthaivel, G. Ravindran","doi":"10.1109/INDCON.2005.1590159","DOIUrl":"https://doi.org/10.1109/INDCON.2005.1590159","url":null,"abstract":"Medical Informatics comprises the theoretical and practical aspects of information processing and communication, based on knowledge and experience derived from processes in medicine and health care. Telemedicine can be defined as the use of telecommunications technologies to facilitate healthcare delivery. Ultrasound imaging is a powerful tool for characterizing the state of soft tissues; however, in some cases, where only subtle differences in images are seen as in certain kidney lesions, existing B-scan methods are inadequate. With this idea, an attempt has been made in this paper for in-vivo differentiation of normal and kidney lesions using image texture parameters of ultrasound B-scan image and classification using Web based classifier. A set of 12 Image texture parameters were computed for ultrasonic scanned images of kidney. Artificial Neural Network with an input layer representing the Image texture parameters and an output layer representing the classification results were used. The 12 Image texture parameters were given as inputs to Neural Network and output layer with 3 target values were used. The back propagation algorithm trains a given feed forward multilayer neural network for a given set of input patterns with known classifications. The MATLAB's web server toolbox and Neural Network toolbox were used for analyzing and classification. In the web based medical information system developed, the remote user can submit the ultrasound B-scan image using the Web Browser and the remote user will receive the diagnosis result in the desk using the Internet which is explained in the paper.","PeriodicalId":158362,"journal":{"name":"2005 Annual IEEE India Conference - Indicon","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125456211","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

Optimal Capacitor Allocation in Radial Distribution Systems under APDRP APDRP下径向配电系统电容器优化配置

2005 Annual IEEE India Conference - Indicon Pub Date : 2005-12-11 DOI: 10.1109/INDCON.2005.1590245

Samir Azim, K. Swarup

引用次数: 15

A New Converter Topology for Switched Reluctance Motor Drive 一种开关磁阻电机驱动的新型变换器拓扑

2005 Annual IEEE India Conference - Indicon Pub Date : 2005-12-11 DOI: 10.1109/INDCON.2005.1590238

R. Jeyabharath, P. Veena, M. Rajaram

引用次数: 4