MANIT Bhopal

Bhopal, India

MANIT Bhopal

Bhopal, India
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Singh B.,University Institute of Technology | Jain S.,MANIT Bhopal | Dwivedi S.,Danfoss A/S
IET Power Electronics | Year: 2013

The availability of limited voltage vectors in a conventional direct torque control drive fed from a two-level inverter causes torque and current ripples. In this study, a new torque ripple reduction technique with a modified look up table incorporating a larger number of synthesised non-zero active voltage vectors is proposed to overcome the limitations of the conventional and duty ratio control switching strategies. The voltage vector selection criteria in the proposed technique are based to prevent the stator flux demagnetisation during the low-speed operation with significant reduction in torque and current ripple. The proposed switching strategy is investigated through simulation and experimentally validated on a test drive.

Bhargava S.,Dr K.N. Modi University | Somkuwar A.,MANIT Bhopal
International Journal of Electrical and Computer Engineering | Year: 2015

Denoising of images got corrupted by addition of noise signals (generated by no single reason) has always a subject of interest for researchers. This paper proposes and classifies the efficiency of an algorithm based on bivariate shrinkage further optimized by Particle Swarm Optimization (PSO).The estimator for undecimatedfilterbank which incorporate the adaptive subbands thresholding further represented with singal threshold based on denosing performs. The paper evaluates performance of medical image denoising by calculation of PSNR, MSE, WPSNR and SSIM. The simulation results based on testing the model at MATLAB 2010A platform shows significant enhancement in mitigation of Gaussian noise, speckle noise, poisson noise and salt & pepper noises from experimental data. Copyright © 2015 Institute of Advanced Engineering and Science. All rights reserved.

Arun P.V.,Maulana Azad National Institute of Technology | Katiyar S.K.,MANIT Bhopal
GIScience and Remote Sensing | Year: 2013

Automatic feature extraction has witnessed the use of many intelligent methodologies over the past decade. However, inadequate modelling of feature shape and contextual knowledge has limited the detection accuracy. In this article, we present a framework for accurate feature shape modelling and contextual knowledge representation using advanced techniques such as Vector Machines, Cellular Neural Network (CNN), coreset, and Cellular Automata (CA). CNN was found to be effective in modelling different complex features, and the complexity of the approach was considerably reduced using corset optimization. Spectral and spatial information was dynamically combined using adaptive kernels when representing contextual knowledge. The methodologies were compared with contemporary methods using different statistical measures. Application of the algorithms to satellite images revealed considerable success. The methodology was also effective in providing intelligent interpolation and interpretation of random features. © 2013 Taylor & Francis.

Prajapat S.,IIPS DAVV Indore | Thakur R.S.,MANIT Bhopal
IEEE International Conference on Computer Communication and Control, IC4 2015 | Year: 2015

Today, securing data of gargantuan size is challenging especially for unstructured data item belonging to industries or business sectors. This paper reviews approaches for investigation of mining algorithms in cryptography and sheds light on application of mining algorithms in symmetric key cryptography. It makes an attempt to find out how classification and association rules can be used to distinguish the encrypted data. The paper also raises some research questions regarding the design issues associated with the implementation of Automatic Variable Key (AVK) in current scenario. © 2015 IEEE.

singh M.,MIT Bhopal | Rana R.S.,MANIT Bhopal | Purohit R.,MANIT Bhopal | Sahu K.,CDGI
Materials Today: Proceedings | Year: 2015

In the present work an attempt has been made to synthesize metal matrix composite using 6061 Al as matrix material reinforced with nano Al2O3 particulates using liquid metallurgy route particularly squeeze casting technique. The nano composites prepared by varying the Al2O3 from 1-3 weight percent. The reinforcement particles were preheated to a temperature of 300°C and then dispersed in molten Al 6061 alloy to improve wettability and distribution. Mechanical properties of the composites fabricated by squeeze casting process were compared with the ultrasonic stir casting process. The results revealed that the mechanical properties like tensile strength, compressive strength and hardness of composite fabricate by the ultrasonic assisted squeeze casting process is higher than that of ultrasonic assisted stir casting process. Microstructure shows that there is significant grain refinement in the composite fabricate by the ultrasonic assisted squeeze casting process than ultrasonic assisted stir casting process. © 2015 The Authors.

Rana R.S.,MANIT Bhopal | Purohit R.,MANIT Bhopal | Soni V.K.,MANIT Bhopal | Das S.,AMPRI Bhopal
Materials Today: Proceedings | Year: 2015

Material science and engineering has experienced a tremendous growth in the field of Micron and nanocomposites developed with enhanced chemical, mechanical and physical properties. Cam has been fabricated by Ultrasonic assisted Stir casting process. Different weight % of Nano SiC (1, 2, 3 and 4wt. %) were used for synthesis of composites and composite Cams. Hardness of composites was measured. Further Al-SiCp Composite cams have been tested for accelerated wear at different time intervals. Results shows that the Al-micron SiCp Composite Cam were having the almost same wear resistance as the existing Alloy steel Cam. However weight of composites cam was 1/3 of the alloy steel cam. © 2015.

Lakwal J.,MANIT Bhopal | Dubey M.,MANIT Bhopal
Proceedings of 2014 IEEE International Conference on Advanced Communication, Control and Computing Technologies, ICACCCT 2014 | Year: 2015

Multilevel inverters (MLI) offer high power capability, allied with lower commutation losses and lower output harmonics. Their main drawback is their complexity, requiring a great number of power devices. This effort initiates a new multilevel inverter topology using an H-bridge output stage with the modular type structure. The new topology provides a significant reduction in the number of power devices and voltage sources required to implement a multilevel output. The proposed multilevel inverter structure consists of two basic parts. The parts are classified as Level and H-Bridge Modules. The most extraordinary feature of the system is its ease of extension. By increasing the number of level modules and connecting them cascaded, the inverter system can expand and the voltage level number can be easily increased. The Level Module consists of a semiconductor switching devices, a diode and a dc source. Unequal DC sources in the proposed MLI gives higher output voltage and economic result. Modeling and Simulation of proposed MLI is done using MATLAB-Simulink. Harmonic analysis is done with Super Imposed Carrier Pulse Width Modulation (SICPWM). © 2014 IEEE.

Rohit K.,Manit Bhopal | Dixit S.,Manit Bhopal
Polymers from Renewable Resources | Year: 2016

Natural fiber-reinforced polymer composite materials are rapidly growing both in terms of their industrial applications and fundamental research as they are renewable, low, completely or partially recyclable and biodegradable. In order to produce cost effective polymer reinforced composites and to reduce the destruction of ecosystem, researchers have come up with new manufacturing trends for composite using natural fibers which are partially biodegradable, for which plants such as flax, cotton, hemp, jute, sisal, kenaf, pineapple, banana, wood etc., used from time immemorial as a rich source of lignocellulosic fibers are more often applied as the reinforcement of composites. Their abundant availability, low cost and density as well as satisfactory mechanical properties make them an attractive ecological alternative for the manufacturing of composites. The natural fiber based composites is more environmentally friendly and has variety of applications in the field of transportation (automobiles, railway coaches, aerospace) building and construction industries (ceiling paneling, partition boards), packaging, consumer products, etc. The demand for wood products is continuously rising in spite of rapid depletion of forest around the world. Research in the area of green technology is being done to provide wood substitutes which make use of wood materials mixed with a polymer to provide a cost effective, improved performance and termite resistant material. The use of wood flour filled polymer composites has been considerably studied from the scientific and commercial point of view over the last decades. Wood flour is an attractive filler for polymer due to their reduced environmental impact and globally pleasant aesthetical properties. They are also low cost and low density material and high specific, biodegradable and non abrasive during processing. This article is a critical review of the most recent development natural fiber composite and the summary of the result presented in literature. © Smithers Information Ltd, 2016.

Yadav A.,M.A.N.I.T. Bhopal | Nakhate S.,M.A.N.I.T. Bhopal
International Journal of Electronics | Year: 2016

In this work, a low power and variability-aware static random access memory (SRAM) architecture based on a twelve-transistor (12T) cell is proposed. This cell obtains low static power dissipation due to a parallel global latch (G-latch) and storage latch (S-latch), along with a global wordline (GWL), which offer a high cell ratio and pull-up ratio for reliable read and write operations and a low cell ratio and pull-up ratio during idle mode to reduce the standby power dissipation. In the idle state, only the S-latch stores bits, while the G-latch is isolated from the S-latch and the GWL is deactivated. The leakage power consumption of the proposed SRAM cell is thereby reduced by 38.7% compared to that of the conventional six-transistor (6T) SRAM cell. This paper evaluates the impact of the chip supply voltage and surrounding temperature variations on the standby leakage power and observes considerable improvement in the power dissipation. The read/write access delay, read static noise margin (SNM) and write SNM were evaluated, and the results were compared with those of the standard 6T SRAM cell. The proposed cell, when compared with the existing cell using the Monte Carlo method, shows an appreciable improvement in the standby power dissipation and layout area. © 2016 Taylor & Francis

Gurve M.K.,M.A.N.I.T. Bhopal | Sarup J.,M.A.N.I.T. Bhopal
Proceedings of the 2012 World Congress on Information and Communication Technologies, WICT 2012 | Year: 2012

With the development of remote sensing imaging technology, the satellite information includes more abundant data, and the quality of satellite cloud image had achieved great progress. The satellite cloud images contain the valuable information for weather forecasting and early prediction of different atmospheric disturbances such as typhoons, hurricanes etc. The processing of content-based satellite cloud image has become one of the most important tasks for using the satellite cloud image information for continuous research. Content-based satellite cloud image processing and information retrieval is a very important problem in image processing and analysis field. In this research, a Content-Based Image Retrieval (CBIR) system has been developed using color, texture and shape as retrieval features from the satellite image repository. To extract the grey level/color properties of an image, histogram values have been used. Four functions of texture features have used such as (Entropy, Energy, correlation and contrast) and the shape features (area, perimeter and metric) have been extracted using the morphological operations. The images and the extracted feature vectors were stored in the database. Results obtained from the processing demonstrate the usability of proposed system. © 2012 IEEE.

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