Showing posts with label Journal for Scientific Research & Development. Show all posts
Showing posts with label Journal for Scientific Research & Development. Show all posts

Thursday, 26 October 2017

Call For Paper | IJSRD Journal

Call For Paper | IJSRD Journal

Volume - 5 - Issue - 9 November 2017


ISSN (Online)  : 2321-0613
Subject Category : Engineering Science and Technology
Frequency            : Monthly, 12 issues per year
Impact Factor       : 4.396
IC Value               : 64.81



Submit Your Article : http://ijsrd.com/SubmitManuscript

Monday, 30 November 2015

IJSRD || National Conference on Inspired Learning || October 2015

Analysis of EEG using Ensemble Empirical Mode Decomposition

Author(s):

Daksh Chawla , Dehradun Institute of Technology (DIT University); Mohit Kumar, Indian Institute of Technology, Indore; R. B. Pachori, Indian Institute of Technology, Indore; Sandeep Sharma, Dehradun Institute of Technology (DIT University)

Keywords:
EEG, EEMD, Ensemble Empirical Mode Decomposition

Abstact:
This work provides the back ground for analysis of non-linear and non-stationary brain signals by using Ensemble Empirical Mode Decomposition. The electroencephalogram (EEG) is a representative signal which contains information about the condition of the human brain. The disorder in brain is characterized by recurrent electrical discharge of the cerebral cortex. Detection of such disorders by visual scanning of EEG signal is a time consuming task and it may be inaccurate, particularly for long recording data set. In this paper an algorithm is presented which is based on the concept of Ensemble Empirical Mode Decomposition (EEMD). The main idea is White Gaussian Noise is added to the original signal and then EMD is performed. This realization is done several times and by averaging the modes we obtain the true values of modes. Empirical Mode Decomposition is being done over an ensemble of the Gaussian white noise plus signal. Hence Mode mixing problem is being resolved by populating the time frequency space plane.

Thursday, 21 August 2014

#IJSRD Computational Modeling and Docking for H1N1virsus using Bioinformatics

Computational Modeling and Docking for  H1N1virsus using Bioinformatics

Abstract--- This  research work will be carried out using the retrieval of H1N1virsus  Hemagglutinin protein   sequence of Influenza A virus[AEN79399] in FASTA format, these sequence are retrieve from the NCBI database that have unknown structure. The aim of present study was to carry out the computational modeling study of the mentioned protein sequence using 3DJigsawn protein comparative modeling server, Verify-3D structure evaluation server, CHIMERA. Validation process done by Verify3D analyzes, the compatibility of an atomic model (3D) with its own amino acid sequence (1D).Collect all the results for possible Ligand/drug candidate finding in-silico. The last step is Docking study for H1N1 protein with Tamiflu (possible Ligand) that help for finding a correct medicine.

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Monday, 18 August 2014

#IJSRD CFD Simulation of Compact Type Mini Channel Heat Exchanger by Using of Water

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CFD Simulation of Compact Type Mini Channel Heat Exchanger by Using of Water

Abstract—A heat exchanger is a device that is used to transfer thermal energy (enthalpy) between two or more fluids, between a solid surface and a fluid, or between solid particulates and a fluid, at different temperatures and in thermal contact. In the conventional heat exchangers, pipes are larger in size which makes heat exchanger bulky. But in some typical applications such as closed loop gas turbine heat exchangers, cryogenic applications, heat exchangers used in PWR power plants, nuclear submarines, etc., size and weight are critical design constraints on the heat exchanger. Also for high pressure applications tubes are subjected to high bending stresses. To overcome these difficulties, compact heat exchangers can be employed. Mini channels heat exchanger is a type of compact heat exchanger in which mini channels are machined on metal plates and then such plates are bonded together. Such an arrangement provides high strength so that it can be used for high pressure applications. It has been observed that in mini channels, convective heat transfer coefficient is more than the tubes used in conventional heat exchangers. Hence, the length for same heat transfer is greatly reduced which results in reduced overall size and weight of the heat exchanger. Electronic device are in heavy demand for computer processor applications and generate large amount of heat. These high power device can be cooled off very effectively by either liquid or gas coolant flowing through micro or mini channels. Continuous research work is ongoing for developing high speed processor which generate high amount of heat. Cooling of such particular systems requires high amount of mass flow rate and compactness is also required. In present work, a mini channel heat exchanger is designed with assuming inlet and outlet of hot temperature, inlet of cold water temperature and also the mass flow rates of cold and hot water. This compact heat exchanger can be used for cooling purpose of electronics device like silicon chip which would be used for microprocessor. In order to cool down silicon chip, it is kept in place of hot fluid plate. Cooling of silicon chip is required to prevent from damage and subsequently failure. The heat exchanger is designed for obtaining 10°C of hot fluid. 


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Friday, 15 August 2014

#IJSRD Optimization of Machining Parameters in CNC Turning Using Firefly Algorithm

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Optimization of Machining Parameters in CNC Turning Using Firefly Algorithm

Abstract— now a day’s machining is done through various automated machines. One of the widely used machines is CNC. Even though the automated machines are used, the quality of the work is determined by parameters used. The cutting parameters of the CNC machine determine the productivity, surface finish, machining time and other qualities of the product. This study involves the optimization of those cutting parameters. In order to get optimized CNC parameters for a specific tool-work combination, Firefly Algorithm (FA) is used to compute the best parameters based on the experiments conducted on a CNC Turning center. The three cutting parameters are cutting speed (V), feed (f), and depth of cut (d). The practical constraints have been considered during both practical and experimental approaches.  The result reveals that FA is very well suited in solving parameters selection problems. 
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