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Jeyanthi, R.
- A Comparative Study of PI and Fuzzy Based Controllers for DC-DC Converters
Abstract Views :360 |
PDF Views:1
Authors
Affiliations
1 Department of Electronics and Communication Engineering, Amrita School of Engineering, Amrita Vishwa vidyapeetham University, Bangalore, IN
2 Department of Electronics and Communication Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham University, Bangalore, IN
3 Department of Electrical and Electronics Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham University, Bangalore, IN
1 Department of Electronics and Communication Engineering, Amrita School of Engineering, Amrita Vishwa vidyapeetham University, Bangalore, IN
2 Department of Electronics and Communication Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham University, Bangalore, IN
3 Department of Electrical and Electronics Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham University, Bangalore, IN
Source
Programmable Device Circuits and Systems, Vol 2, No 2 (2010), Pagination: 20-28Abstract
Industrial, residential and aerospace environments widely use switching mode power supplies. Switching modepower supplies need to be of small size as well as highly efficient. Hence a high switching frequency is necessary for reducing the size of the converter. But as the switching frequency increases, switching loss will also increase. This will result in gradual decrease in the efficiency of the power supplied. This paper is an attempt to study the application of fuzzy based control for DC-DC converters operating at finite switching frequency. Conventional PI method currently used for buck boost converters is compared with the fuzzy based control. Simulation results are also presented. The simulations show that the fuzzy control method has better dynamic performance.
Keywords
Buck Boost Converters, DC-DC Converters, Fuzzy Controller and Proportional Integral Controller-PI.
- Performance Analysis of Correlated Ricean MIMO Channels with Precoded STBC
Abstract Views :162 |
PDF Views:3
Authors
Affiliations
1 K.L.N. College of Engineering, IN
2 Mahendra College of Engineering, IN
1 K.L.N. College of Engineering, IN
2 Mahendra College of Engineering, IN
Source
Digital Signal Processing, Vol 4, No 7 (2012), Pagination: 343-346Abstract
This paper proposes linear precoder designs exploiting statistical channel knowledge at the transmitter in a multiple-input multiple-output (MIMO) wireless system. The paper focuses on channel statistics, since obtaining real-time channel state information at the transmitter can be difficult due to channel dynamics. The considered channel statistics consist of the channel mean and transmit antenna correlation. The receiver is assumed to know the instantaneous channel precisely. The precoder operates along with a space–time block code (STBC)The optimal precoder with an orthogonal STBC is established. Different relaxations then extend the solution to systems with nonorthogonal STBCs. In both cases, the precoder is a function of both the channel mean and the transmit correlation. A linear precoder acts as a combination of a multimode beamformer and an input shaping matrix, matching each side to the channel and to the input signal structure, respectively. Design examples and numerical simulation results for both orthogonal and nonorthogonal STBC precoding solutions are provided, illustrating the precoding array gain. Unlike previous literature, our precoder is the first to be designed to minimize the exact symbol error rate (SER) as a function of both a) the joint transmit–receive channel correlation coefficients and b) the MIMO Rice component, which are fed back to the transmitter. It is important to note that the covariance may or may not follow the so-called Kronecker structure.Keywords
Channel Correlation, Correlated Fading Channels, Multiple Input Multiple Output (MIMO), Orthogonal Space–Time Block Code (OSTBC), Precoding, Symbol Error Rate (SER).- Lesion Detection in Cervigrams based on Boundary Cues
Abstract Views :158 |
PDF Views:3
Authors
Affiliations
1 Sri Vidya College of Engineering and Technology, Virudhunagar, Tamilnadu, IN
1 Sri Vidya College of Engineering and Technology, Virudhunagar, Tamilnadu, IN
Source
Biometrics and Bioinformatics, Vol 5, No 9 (2013), Pagination: 353-358Abstract
In this paper, I have focused on the extraction and segmentation of a specific tissue within the cervix, known as the AcetoWhite(AW) tissue that turns white after the application of 3% to 5% of acetic acid during cervicography. The AW is a major indicator of cervical cancer. This paper presents an automated approach to detect and segment AW lesions by learning class-specific boundaries. The approach is a multi-step scheme that includes the watershed transform that converts the image into an edge map[10] that contains the lesion boundary and viewing the watershed map as a Markov random field (MRF), in which each watershed superpixel corresponds to a binary random variable indicating whether the superpixel is part of the lesion. By applying a belief-propagation (BP) algorithm on the loopy MRF, the final lesion region segmentation is obtained.Keywords
Belief Propagation, Cervigrams, Markov Random Field, Superpixel, Watershed Transform.- Effect of ion size on the thermodynamical properties of different salts of chitosan
Abstract Views :147 |
PDF Views:1
Authors
Affiliations
1 Nanostructured lab, Department of Physics, The Gandhigram Rural Institute-Deemed to be University, Gandhigram-624 302, Tamil Nadu, IN
1 Nanostructured lab, Department of Physics, The Gandhigram Rural Institute-Deemed to be University, Gandhigram-624 302, Tamil Nadu, IN
Source
Journal of Pure and Applied Ultrasonics, Vol 43, No 1-2 (2021), Pagination: 3-7Abstract
In the present study the chitosan has been dissolved indifferent acids like formic, acetic, succinic and adipic to form different salts. Some of the physical properties such as dielectric constant (ε), intermolecular free path length (Lf), Relaxation time (τ) and ultrasonic Attenuation (α)/f2 are calculated from the experimental data of refractive index, density, viscosity and ultrasonic velocity with respect to the ion size. The detailed results are presented and discussed.Keywords
Refractive index, ultrasonic velocity, ultrasonic attenuation.Full Text
References
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- Sudhakar Y.N. and Selvakumar M., Lithium Perchlorate Doped Plasticized Chitosan And Starch Blend as Biodegradable Polymer Electrolyte for Supercapacitors. Electrochim. Acta, 78, (2012) 398-405.
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- Raja Mohan C., Sathya R., Nithiananthi P. and Jayakumar K., Ultrasonic velocimetry Studies on different salts of chitosan: Effect of ion size. Int. J. Biol. Macromol, 104, (2017) 1596-160.
- Praharaj M.K., Satapathy A., Mishra P. and Mishra S., Ultrasonic Studies of Ternary Liquid Mixtures of
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- Kulkarni S.S. and Khadke U.V., Effect of Solvents on the Ultrasonic Velocity and Acoustic Parameters of Polyvinylidene Fluoride Solutions. Indian J. Eng. Mater. Sci., (2016) Article ID 9582582, 6 pages.