2013 International Mutli-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s)最新文献_第2页

Detection of oscillation in three tank process for interacting and non-interacting cases 相互作用和非相互作用情况下三槽过程振荡的检测

2013 International Mutli-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s) Pub Date : 2013-03-22 DOI: 10.1109/IMAC4S.2013.6526436

E. G. Kumar, M. Sankar

引用次数: 4

Survey on routing protocols on mobile adhoc networks 移动自组网路由协议研究进展

2013 International Mutli-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s) Pub Date : 2013-03-22 DOI: 10.1109/IMAC4S.2013.6526467

G. Mohandas, S. Silas, S. Sam

引用次数: 50

Achieving quality product in a long term software product development in healthcare application using Lean and Agile principles: Software engineering and software development 使用精益和敏捷原则在医疗保健应用程序的长期软件产品开发中实现高质量的产品:软件工程和软件开发

2013 International Mutli-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s) Pub Date : 2013-03-22 DOI: 10.1109/IMAC4S.2013.6526379

Manjunath K N, J. Jagadeesh, M. Yogeesh

引用次数: 20

2D Image data approximation using Savitzky Golay filter — Smoothing and differencing 使用Savitzky Golay滤波器的二维图像数据逼近-平滑和差分

2013 International Mutli-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s) Pub Date : 2013-03-22 DOI: 10.1109/IMAC4S.2013.6526438

B. G. Gowri, V. Hariharan, S. Thara, V. Sowmya, S. S. Kumar, K. P. Soman

{"title":"2D Image data approximation using Savitzky Golay filter — Smoothing and differencing","authors":"B. G. Gowri, V. Hariharan, S. Thara, V. Sowmya, S. S. Kumar, K. P. Soman","doi":"10.1109/IMAC4S.2013.6526438","DOIUrl":"https://doi.org/10.1109/IMAC4S.2013.6526438","url":null,"abstract":"Smoothing and differencing is one of the major important and necessary step in the field of signal processing, image processing and also in the field on analytical chemistry. The search for an efficient image smoothing and edge detection method is a challenging task in image processing sector. Savitzky Golay Filters are one among the widely used filters for analytical chemistry. Even though they have exceptional features, they are rarely used in the field of image processing. The designed filter is applied for image smoothing and a mathematical model based on partial derivatives is proposed to extract the edges in images. The smoothing technique of SG filter offers an extremely simple aid in extracting the edge information. An approach using SG filter which can be applied in preserving edge information is one of the major tasks involved in the classification process in the domain of Optical Character Recognition. The paper is focused on designing the Savitzky Golay filter by using the concepts of linear algebra. The main objective of the paper is to portray a clear cut idea about Savitzky Golay filter and to study the design of Savitsky Golay filters based on the concepts of Linear Algebra.","PeriodicalId":403064,"journal":{"name":"2013 International Mutli-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130728753","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: 15

SVM-DTC Permanent magnet synchronous motor driven electric vehicle with bidirectional converter SVM-DTC永磁同步电机驱动的双向变换器电动汽车

2013 International Mutli-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s) Pub Date : 2013-03-22 DOI: 10.1109/IMAC4S.2013.6526505

S. G. Malla, M. Rao, J. M. Malla, R. Sabat, Jayadeepu Dadi, M. Das

{"title":"SVM-DTC Permanent magnet synchronous motor driven electric vehicle with bidirectional converter","authors":"S. G. Malla, M. Rao, J. M. Malla, R. Sabat, Jayadeepu Dadi, M. Das","doi":"10.1109/IMAC4S.2013.6526505","DOIUrl":"https://doi.org/10.1109/IMAC4S.2013.6526505","url":null,"abstract":"Electric Vehicle (EV) technology provides an effective solution for achieving better performance compared to conventional vehicles. This paper highlights the use of a bidirectional buck-boost converter for a Permanent Magnet Synchronous Motor (PMSM) driven EV. The bidirectional buck - boost converter interfaces the low-voltage battery with a high-voltage dc bus and maintains a bidirectional power flow. The batteries are at low voltage to obtain higher volumetric efficiencies, and the dc link is at higher voltage to have higher efficiency on the motor side. PMSMs are known as a good candidate for EV due to their superior properties such as high torque/volume ratio, power factor and high efficiency. This paper also includes Space Vector Modulation (SVM) based Direct Torque Control (DTC) which controls the PMSM to reduce the ripples in both torque and speed. A closed loop control system with a Proportional Integral (PI) controller in the speed loop has been designed to operate in constant torque and flux weakening regions. Extensive simulation work was carried out using Matlab/Simulink, and the results established shows that the performance of the controller both in transient as well as in steady state is quite satisfactory.","PeriodicalId":403064,"journal":{"name":"2013 International Mutli-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123449839","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

Optimized implementation of Discrete Wavelet Transform with area efficiency 面积效率离散小波变换的优化实现

2013 International Mutli-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s) Pub Date : 2013-03-22 DOI: 10.1109/IMAC4S.2013.6526515

S. John, M. Jose

引用次数: 4

Secure zone based routing protocol for mobile adhoc networks 移动自组网中基于安全区域的路由协议

2013 International Mutli-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s) Pub Date : 2013-03-22 DOI: 10.1109/IMAC4S.2013.6526523

B. Devi, Dr.J.V.R Murthy, Dr. G. Narasimha

{"title":"Secure zone based routing protocol for mobile adhoc networks","authors":"B. Devi, Dr.J.V.R Murthy, Dr. G. Narasimha","doi":"10.1109/IMAC4S.2013.6526523","DOIUrl":"https://doi.org/10.1109/IMAC4S.2013.6526523","url":null,"abstract":"An ad hoc network is the cooperative engagement of a collection of mobile nodes without the required intervention of any centralized access point or existing infrastructure. Ad hoc networking for commercial uses; however, the main applications lie in military, tactical and other security-sensitive operations. In these applications, secure routing is an important issue. Most of the protocols proposed for Secure Routing are either proactive or reactive in approach. In this paper, a secure hybrid ad hoc routing protocol, called Secure Zone Routing Protocol (SZRP), which aims at addressing the limitations by combining the best properties of both proactive and reactive approaches. The proposed protocol is based on the concept zone routing protocol (ZRP). Which employs an integrated approach of digital signature and both the symmetric and asymmetric key encryption techniques to achieve the security goals like message integrity, data confidentiality and end to end authentication at IP layer. The paper details the design of the proposed protocol and analyses its robustness in the presence of multiple possible security attacks that involves impersonation, modification, fabrication and replay of packets.","PeriodicalId":403064,"journal":{"name":"2013 International Mutli-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130740925","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: 6

Comparative analysis of sensing matrices for compressed sensed thermal images 压缩感测热图像感测矩阵的比较分析

2013 International Mutli-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s) Pub Date : 2013-03-22 DOI: 10.1109/IMAC4S.2013.6526420

Usham V. Dias, M. Rane

{"title":"Comparative analysis of sensing matrices for compressed sensed thermal images","authors":"Usham V. Dias, M. Rane","doi":"10.1109/IMAC4S.2013.6526420","DOIUrl":"https://doi.org/10.1109/IMAC4S.2013.6526420","url":null,"abstract":"In the conventional sampling process, in order to reconstruct the signal perfectly Nyquist-Shannon sampling theorem needs to be satisfied. Nyquist-Shannon theorem is a sufficient condition but not a necessary condition for perfect reconstruction. The field of compressive sensing provides a stricter sampling condition when the signal is known to be sparse or compressible. Compressive sensing contains three main problems: sparse representation, measurement matrix and reconstruction algorithm. This paper describes and implements 14 different sensing matrices for thermal image reconstruction using Basis Pursuit algorithm available in the YALL1 package. The sensing matrices include Gaussian random with and without orthogonal rows, Bernoulli random with bipolar entries and binary entries, Fourier with and without dc basis vector, Toeplitz with Gaussian and Bernoulli entries, Circulant with Gaussian and Bernoulli entries, Hadamard with and without dc basis vector, Normalised Hadamard with and without dc basis vector. Orthogonalization of the rows of the Gaussian sensing matrix and normalisation of Hadamard matrix greatly improves the speed of reconstruction. Semi-deterministic Toeplitz and Circulant matrices provide lower PSNR and require more iteration for reconstruction. The Fourier and Hadamard deterministic sensing matrices without dc basis vector worked well in preserving the object of interest, thus paving the way for object specific image reconstruction based on sensing matrices. The sparsifying basis used in this paper was Discrete Cosine Transform and Fourier Transform.","PeriodicalId":403064,"journal":{"name":"2013 International Mutli-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132079520","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: 13

Implementation of image fusion algorithm using MATLAB (LAPLACIAN PYRAMID) 用MATLAB实现图像融合算法(LAPLACIAN PYRAMID)

2013 International Mutli-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s) Pub Date : 2013-03-22 DOI: 10.1109/IMAC4S.2013.6526401

M. Pradeep

引用次数: 20

Intelligent energy management in smart and sustainable buildings with multi-agent control system 基于多智能体控制系统的智能可持续建筑能源管理

2013 International Mutli-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s) Pub Date : 2013-03-22 DOI: 10.1109/IMAC4S.2013.6526406

D. SmithaS., Fossy Mary Chacko

引用次数: 16