2014 Annual IEEE India Conference (INDICON)最新文献

Passive UHF RFID backscattering for indoor lighting control 无源超高频RFID后向散射用于室内照明控制

2014 Annual IEEE India Conference (INDICON) Pub Date : 2014-12-11 DOI: 10.1109/INDICON.2014.7030472

G. A. Vera, S. Nawale, S. Tedjini, Y. Duroc

引用次数: 1

Performance study of Mine Blast Algorithm for automatic voltage regulator tuning 矿井爆破自动调压算法的性能研究

2014 Annual IEEE India Conference (INDICON) Pub Date : 2014-12-01 DOI: 10.1109/INDICON.2014.7030488

S. Majumdar, K. Mandal, N. Chakraborty

{"title":"Performance study of Mine Blast Algorithm for automatic voltage regulator tuning","authors":"S. Majumdar, K. Mandal, N. Chakraborty","doi":"10.1109/INDICON.2014.7030488","DOIUrl":"https://doi.org/10.1109/INDICON.2014.7030488","url":null,"abstract":"Proportional Integral Derivative (PID) controllers are extensively used in industry for process instrumentation application. PID controllers have also found widespread application in Power System Control. To achieve effective control optimal tuning of PID gains of the controller is necessary. This controller gain tuning problem is a multimodal non-convex optimization problem. This paper proposes a tuning strategy based on Mine Blast Algorithm (MBA); a population based algorithm for tuning the controller. This algorithm is a newly developed optimization technique. The motivation of this study is to determine if MBA presents a better alternative than traditional soft computing based optimization methods. The algorithm simulates the behavior of exploding mines in a mine field. This algorithm has been used to find optimal values of PID gains. The performance of MBA is compared with results obtained from Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). All the codes have been developed in house in Matlab environment. MBA has demonstrated up to 40% reduction in computational burden while maintaining controllers output characteristics.","PeriodicalId":409794,"journal":{"name":"2014 Annual IEEE India Conference (INDICON)","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123048195","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: 17

Design of an extremely wideband quasi-self-complementary pentagonal antenna with WLAN stop band 带无线局域网阻带的极宽带准自互补五边形天线的设计

2014 Annual IEEE India Conference (INDICON) Pub Date : 2014-12-01 DOI: 10.1109/INDICON.2014.7030676

Pragya Agarwal, Babita Jakhar, Ashok Kumar

引用次数: 0

Considerations for wireless communication at 868MHz 868MHz无线通信的注意事项

2014 Annual IEEE India Conference (INDICON) Pub Date : 2014-12-01 DOI: 10.1109/INDICON.2014.7030527

Shubhangi Bagal, Piyush Desai, Abhijit Gulavani, R. A. Patil

引用次数: 2

Agent-based parallel Particle swarm optimization based on group collaboration 基于群体协作的agent并行粒子群优化

2014 Annual IEEE India Conference (INDICON) Pub Date : 2014-12-01 DOI: 10.1109/INDICON.2014.7030486

Anshuman Satapathy, S. Satapathy, M. Reza

{"title":"Agent-based parallel Particle swarm optimization based on group collaboration","authors":"Anshuman Satapathy, S. Satapathy, M. Reza","doi":"10.1109/INDICON.2014.7030486","DOIUrl":"https://doi.org/10.1109/INDICON.2014.7030486","url":null,"abstract":"Particle swarm optimization (PSO) is a population-based evolutionary computation technique. The standard parallel Particle swarm optimization (PSO) is a promising scheme for solving NP-complete problems due to its fast convergence, fewer parameter settings and ability to fit dynamic environmental characteristics. A modified version of standard parallel particle swarm optimization algorithm named Agent-based Parallel PSO (PPSO) is presented to solve the large-scale optimization problem at a faster convergence rate. The new algorithm provides the information exchange among the particle sets which aims to accelerate the rate of convergence. Parallelization is based on the client-server model in which the particle set with global best value acts as a server and others are clients with agents in a single iteration. The agents contain the worst value information of respective particle set which they have to exchange with the global best value among particle sets in the swarm. The server is the center of data exchange, which deals with agents and manages the sharing of global best position among the individual clients by the replacement of worst position with global best position. The information exchange in particle sets has been done so that the new result will be the better as compared to previous result.","PeriodicalId":409794,"journal":{"name":"2014 Annual IEEE India Conference (INDICON)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123785397","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: 4

Numerical relay algorithm for load encroachment protection 负载侵占保护的数值继电器算法

2014 Annual IEEE India Conference (INDICON) Pub Date : 2014-12-01 DOI: 10.1109/INDICON.2014.7030603

S. Warathe, R. N. Patel

引用次数: 0

Decision based non-linear filtering using interquartile range estimator for Gaussian signals 基于决策的高斯信号四分位距离估计非线性滤波

2014 Annual IEEE India Conference (INDICON) Pub Date : 2014-12-01 DOI: 10.1109/INDICON.2014.7030658

K. Buch

引用次数: 6

A fast range matching architecture with unit storage expansion ratio and high memory utilization using SBiCAM for packet classification 采用SBiCAM进行分组分类，实现了具有单位存储扩展率和高内存利用率的快速范围匹配体系结构

2014 Annual IEEE India Conference (INDICON) Pub Date : 2014-12-01 DOI: 10.1109/INDICON.2014.7030357

S. S. Ray, Ayan Bhattacharya, Surajeet Ghosh

{"title":"A fast range matching architecture with unit storage expansion ratio and high memory utilization using SBiCAM for packet classification","authors":"S. S. Ray, Ayan Bhattacharya, Surajeet Ghosh","doi":"10.1109/INDICON.2014.7030357","DOIUrl":"https://doi.org/10.1109/INDICON.2014.7030357","url":null,"abstract":"In networking, mainly for routers, firewalls, access control lists, etc., packet classification lies in the critical data path as it has to act upon each and every packet at wire-speed. Another critical issue associated with packet classification is efficient representation of rules with range(s) which takes multiple TCAM rule entries in the rule table called range expansion. In addition, range expansion process requires a significant amount of redundant information to be stored along with the sub ranges which creates a bottleneck in the performance of packet classification. The proposed architecture at first intends to reduce and fixes the number of rule entries required to define a rule with or without range(s) to exactly one over (2w-2) or in some cases 4(w-1)2 Storage Expansion Ratio (SER) for a w-bit range. Secondly, it avoids the inevitability of range expansion problem and thereby saves a substantial time delay associated with range pre-processing or encoding technique which is done using software. Thirdly, this architecture directly stores a rule irrespective of the range(s) occurring in the port fields (Source Port, Destination Port) by employing a novel memory called SBiCAM. Furthermore, it has been observed that 24-bits are unused per rule entry, so, in the proposed architecture, no such free bits are kept by introducing a novel 7-tuple rule format for storing rule entries in the proposed hybrid rule table and thereby results into high memory utilization. The proposed range matching architecture also exhibits excellent performance in terms of expansion ratio, power and speed.","PeriodicalId":409794,"journal":{"name":"2014 Annual IEEE India Conference (INDICON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129451313","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

Cooperative sensing framework using IEEE 802.22-standard 采用IEEE 802.22标准的协同传感框架

2014 Annual IEEE India Conference (INDICON) Pub Date : 2014-12-01 DOI: 10.1109/INDICON.2014.7030449

Satajeet Biswas, I. Chakraborty

引用次数: 0

Energy compaction based novel Iris recognition techniques using partial energies of transformed iris images with Cosine, Walsh, Haar, Kekre, Hartley Transforms and their Wavelet Transforms 基于能量压缩的虹膜识别技术，利用余弦变换、Walsh变换、Haar变换、Kekre变换、Hartley变换及其小波变换变换后虹膜图像的部分能量

2014 Annual IEEE India Conference (INDICON) Pub Date : 2014-12-01 DOI: 10.1109/INDICON.2014.7030641

Sudeep D. Thepade, P. Mandal

{"title":"Energy compaction based novel Iris recognition techniques using partial energies of transformed iris images with Cosine, Walsh, Haar, Kekre, Hartley Transforms and their Wavelet Transforms","authors":"Sudeep D. Thepade, P. Mandal","doi":"10.1109/INDICON.2014.7030641","DOIUrl":"https://doi.org/10.1109/INDICON.2014.7030641","url":null,"abstract":"The theme of work presented in this paper is a novel Iris recognition technique using partial energies of transformed iris image. To generate transformed iris images, various transforms like Cosine, Walsh, Haar, Kekre, Hartley transforms and their wavelet transforms are applied on the iris images. Feature vectors are then generated from these transformed Iris images using the concept of energy compaction of transforms in higher coefficients. 5 different ways are used to generate the feature vectors from the transformed iris images. First way considers all the higher energy coefficients of the transformed iris image while the rest considers 99%, 98%, 97%, and 96% of the higher energy coefficients for generating the feature vector. Considering partial energies reduces the feature vector size thus lowering the number of computations and results shows that this gives better performance. To test the performance of the proposed techniques, Genuine Acceptance Rate (GAR) is used as a metric. Better Performance in terms of Speed and Accuracy is obtained by considering Partial Energies. Among all the Transforms and Wavelet Transforms, Walsh Transform and Walsh Wavelet Transform gives highest GAR value. Results show that most wavelet transforms outperforms other transforms. Also, using Partial Energy gives better performance as compared to using 100% energies. The proposed technique is tested on Palacky University Dataset.","PeriodicalId":409794,"journal":{"name":"2014 Annual IEEE India Conference (INDICON)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123976853","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: 9