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Kulkarni S.H.,KLS Gogte Institute of Technology | Jirage B.J.,KLS Gogte Institute of Technology | Anil T.R.,KLS Gogte Institute of Technology
Distributed Generation and Alternative Energy Journal | Year: 2017

Several studies have been performed in last many years as to which type of energy source would be suitable for extending energy access for remote rural areas. Energy planning using multi-criteria analysis has attracted the attention of decision makers for a long time. Multi-Criteria Decision Making (MCDM) techniques are attractive in problems having multiple and conflicting objectives. This article develops a methodological framework providing insights to suitability of multi-criteria techniques in the context of operation energy alternatives namely Central Grid/Grid Extension, Solar Home Systems and Microgrids in India. The model was built using the Analytic Hierarchy Process (AHP) with empirical data from various sources. Several parameters like generation cost, price, losses, reliability, capacity, availability, and constraints (geological/local) were investigated. Based on the scheme developed by Saaty—the AHP and Fuzzy Sets using MATLAB these multi-criteria are evaluated and compared. The analysis were carried out under two scenarios namely—environment and cost. Finally alternatives for energy generation were ranked based on the AHP and Fuzzy logic. The results indicate that MICROGRID is the ideal choice among the alternatives for energy generation in a decentralised way and is a possible solution for eliminating energy poverty. ©, Copyright Association of Energy Engineers (AEE).


Kulkarni V.R.,KLS Gogte Institute of Technology | Desai V.,KLS Gogte Institute of Technology | Kulkarni R.V.,maiah University Of Applied Science
2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016 | Year: 2016

Accurate localization of randomly deployed sensor nodes is critically important in wireless sensor networks (WSNs) deployed for monitoring and tracking applications. The localization challenge has been posed as a multidimensional global optimization problem in earlier literature. Many swarm intelligence algorithms have been proposed for accurate localization. The untapped vast potential of the artificial bee colony (ABC) algorithm has inspired the research presented in this paper. The ABC algorithm has been investigated as a tool for anchor-assisted sensor localization in WSNs. Results of Matlab simulation of ABC-based multistage localization have been presented. Further, the results are compared with those of the localization method based on the particle swarm optimization (PSO) algorithm. A comparison of the performances of ABC and PSO algorithms has been presented in terms of the number of nodes localized, localization accuracy and the computation time. The results show that the ABC algorithm delivers higher accuracy of localization than the PSO algorithm does; but, it takes longer to converge. This results in a trade off between speed and accuracy of localization in WSNs. © 2016 IEEE.


News Article | April 17, 2017
Site: www.scientificamerican.com

For the past five years the Quantum Shorts initiative from the Center for Quantum Technologies at the National University of Singapore has inspired artists and writers from around the world to try their hand at a unique kind of scientific storytelling. The contest alternates each year between calls for films or short stories that explore the ramifications of quantum mechanics. The key requirement? Each entry must take no more than five minutes to watch or read. For 2016 the contest focused on film and drew more than 200 entries, with 10 finalists selected. Now, in partnership with Scientific American and Nature (as well as with several scientific institutions), Quantum Shorts 2016 has revealed this year’s first- and second-place winners as selected by a six-member panel of expert judges as well as a “people’s choice” winner selected via public online polling. The overall winner is Novae, filmmaker Thomas Vanz’s breathtakingly beautiful visualization of a giant star’s explosive death by supernova and subsequent transformation into a black hole. Like a latter-day William Blake—the English poet and painter who famously mused about seeing “a world in a grain of sand” and “a heaven in a wild flower”—Vanz envisioned a supernova in drops of colored ink. Working for months in his garage in Paris, he filmed inks billowing through a water-filled fish tank, later using computer software to stitch and process the raw footage into his dramatic vision of stellar death. His behind-the-scenes shorts detailing the making of Novae are at least as entertaining as the final film itself. A supernova can form a black hole by compressing a star’s core to an infinitesimally minuscule size, creating a gravitational field so intense that it devours light itself. The compressed core of a black hole—a “singularity,” in the parlance of physics—is thus hidden behind a black, lightless “event horizon,” the boundary beyond which anything falling in cannot come back out. Black holes represent a mysterious union between gravity, which dictates the overall structure of the universe, and quantum mechanics, which describes the cosmos at subatomic scales. Probing the properties of these strange macroscale quantum objects is likely to be our best path forward to a deeper understanding of the nature of reality. The runner-up, The Guardian, is also the people’s choice winner. The film uses a love triangle between three people to explore the counterintuitive nature of the quantum world, in which an entity can exist either as a particle or as a wave—or, really, as both at the same time, in a hazy cloud of probability. It is the brainchild of Chetan  Kotabage, an assistant professor of physics at KLS Gogte Institute of Technology in Karnataka, India. “I love that it is looking at quantum physics through a cultural lens,” says Eliene Augenbraun, Scientific American’s video producer and multimedia managing editor for Nature Research Group, who also served as a contest judge and chose The Guardian as her favorite. Other entries that earned honorable mentions from the judges include Approaching Reality, Together—Parallel Universe and Bolero. Charlotte Stoddart, Nature’s chief multimedia editor and contest judge, says she was “really impressed by the quality of the filmmaking and the ideas.” You can watch all the finalists here. The next call for Quantum Shorts entries will occur later this year. Continuing its annual alternation between cinema and prose, 2017’s contest will be for short stories. Announcements will be available via the Quantum Shorts Twitter account and Facebook page.


Kenchannavar H.H.,KLS Gogte Institute of Technology | Beedakar S.,KLS Gogte Institute of Technology
International Conference on Energy Systems and Applications, ICESA 2015 | Year: 2015

Currently wireless sensor networks (WSN) are finding wide range of applications when integrated with Internet of things (IoT). WSNs contain sensor nodes which are tiny, battery operated devices. Therefore resource management in wireless sensor network is one of the significant research issues in improving the lifetime of the sensor network. Several optimization techniques have been proposed in this direction to improve life-Time of WSN. In this paper, we are proposing a novel approach to address the resource management problem with respect to energy parameter which can considerably increase the network lifespan. Whenever a network is deployed for a specific application, the performance parameters that are considered for evaluation are data-redundancy, sleep-Awake cycle, buffering mechanism, architectural-design, etc. This paper discusses the application of bio-inspired, Jumper Firefly Algorithm which optimizes network lifetime through centralized clustering and dynamic routing algorithm. © 2015 IEEE.


Kittur J.K.,KLS Gogte Institute of Technology | Patel G.C.M.,KLS Gogte Institute of Technology | Parappagoudar M.B.,Chhatrapati Shivaji Institute of Technology
International Journal of Metalcasting | Year: 2016

In the present work, both forward and reverse modeling is carried out for the high pressure die casting process by utilizing back-propagation neural network (BPNN) algorithm. The pressure die casting process is considered as an input-output model with the fast shot velocity, intensification pressure, phase change over point and holding time as the input parameters, whereas surface roughness, hardness and porosity as the output of the system. Batch mode of training had been provided to the networks with the help of one thousand input-output training data. These training data were generated artificially from the regression equations, which were obtained earlier by the same authors. The regression equations used in the present work were obtained by applying design of experiments and response surface methodology techniques. The performance of BPNN in forward and reverse modeling has been tested with the help of test cases. Further, the performance of BPNN in forward modeling was compared with statistical regression models. The results showed that the BPNN approach is able to carry out both the forward as well as reverse mappings effectively and can be used in the foundries. Copyright © 2015 American Foundry Society.


Kittur J.K.,KLS Gogte Institute of Technology | Choudhari M.N.,KLS Gogte Institute of Technology | Parappagoudar M.B.,Chhatrapati Shivaji Institute of Technology
International Journal of Advanced Manufacturing Technology | Year: 2015

Modeling of pressure die casting process is carried out in the present work. Design of experiment has been utilized to collect the experimental data. The input–output relations have been developed by using response surface methodology. Optimal process parameters have been determined by using desirability function. The process parameters, namely, fast shot velocity, injection pressure, phase changeover point, and holding time, have been considered as the input to the model. Porosity, surface roughness, and hardness are measured and represented as the responses. Based on the experiments carried out, two nonlinear models have been developed using central composite design and Box-Behnken design. These two models have been tested for their statistical adequacy and prediction accuracy through analysis of variance (ANOVA) and some practical test cases, respectively. The performance of central composite design is found to be better than Box-Behnken design (BBD) for the response surface roughness and hardness, whereas the latter is found better than the former for the response porosity. The performance is adjudged based on the average absolute percent deviation in predicting the responses. The absolute percent deviation values for the responses surface roughness, hardness, and porosity are found to be equal to 5.95, 1.29, and 63.94, respectively, in central composite design (CCD). On the other hand, corresponding values in BBD are found to be equal to 14.19, 3.04, and 4.94. Further, an attempt is made to minimize the porosity and surface roughness along with maximization of hardness of die cast component. The objective of multi-response optimization was met with a high desirability value of 0.9490. © 2014, Springer-Verlag London.


Kulkarni R.,KLS Gogte Institute of Technology | Kulkarni S.Y.,M S Ramahai Institute Of Technology
Proceedings of International Conference on Circuits, Communication, Control and Computing, I4C 2014 | Year: 2014

Power dissipation is a bottleneck in the design of low power electronic devices that, operate at high frequencies. Hence, the clock signal is a major source of power dissipation. The technique clock gating at the architecture level can be implemented to reduce the dynamic and clock power. In this paper, the authors aim at implementing, analyzing and comparing the various resource power using clock gating techniques to a 16-bit ALU on a 45nm SPARTANO FPGA board. The two clocking gates proposed and used in the design are namely: DEMUX and AND gate, which provide clock input to only one functional module that is either arithmetic or logical block, while the other is put OFF. The complete design is simulated using QuestaSim, synthesized using Precision tool and the power analysis is performed using Xpower analyzer of ISE13.2. The results obtained demonstrate that the clock, signal and the logic power for the two techniques is nearly same. While the IO and dynamic power using AND clocking gate has the power reduction of 50% and 45% respectively. Thus, the AND clock gating technique can be used in the design to optimize power and area. © 2014 IEEE.


Kulkarni R.,KLS Gogte Institute of Technology | Kulkarni S.Y.,M S Ramahai Institute Of Technology
11th IEEE India Conference: Emerging Trends and Innovation in Technology, INDICON 2014 | Year: 2015

The need to design and develop high performance and high speed VLSI systems such as NOCs in networking or SOCs in communication and computing has shifted the focus from traditional performance parameters towards the analysis of power consumption. In such devices managing the power among the domains of a system is of real concern. Hence, the low power design techniques namely: clock gating, power gating, dynamic voltage scaling and frequency scaling are of most important. In this paper the clock gating technique is applied to a 16-bit ALU. In the this work the ALU is divided into two functional units namely: Arithmetic unit and Logical Unit. The demultiplexer is used as a selector of the functional unit for which the clock is applied. The design is simulated using QuestaSim power aware simulator, implemented and synthesized using Precision synthesis tool on a Spartan 6 FPGA. Power analysis is carried out using Xilinx XPower analyzer. The design is tested for a wide band of frequencies from 1MHz to 5000MHz. The Clock and dynamic power reduction is observed for lower frequencies but for high frequency the target device has the limitation. The clock gating technique when applied to the design it is observed that the clock power is reduced by an average of 70% for lower frequencies and an average of 30% for higher frequencies. This reduction is at the cost increase in area by 2%. © 2014 IEEE.


Kulkarni R.,KLS Gogte Institute of Technology | Kulkarni S.Y.,M S Ramahai Institute Of Technology
2014 International Conference on Electronics and Communication Systems, ICECS 2014 | Year: 2014

Power dissipation is a bottleneck in the design of high speed synchronous systems operating at high frequency. Thus, clock signals have been a great source of power dissipation because of high frequency and heavy packet traffic in the network routers. Clock signals do not carry any information used for computation and only used for synchronization, but, the power dissipated is significant. In a Network Processor (NP) consisting of more than one processing elements (PE), not all are functioning at the same time, but connected to the clock signal dissipate power. Hence, the clock gating (CG) technique can to applied to these PEs. In this paper as a initial step to the design of such PEs the CG is applied to a 16-bit ALU. The design is simulated using QuestaSim power aware simulator, implemented and synthesized using Precision synthesis tool on a 45nm Spartan 6 FPGA. Power analysis is carried out using Xilinx XPower analyzer. Reduction in Clock and dynamic power is observed for lower frequencies but for high frequency the target device has the limitation. The design is optimized for power and area. © 2014 IEEE.


Bekinal S.I.,KLS Gogte Institute of Technology | Jana S.,Bearings and Rotor Dynamics Laboratory
Journal of Tribology | Year: 2016

This work deals with generalized three-dimensional (3D) mathematical model to estimate the force and stiffness in axially, radially, and perpendicularly polarized passive magnetic bearings with "n" number of permanent magnet (PM) ring pairs. Coulombian model and vector approach are used to derive generalized equations for force and stiffness. Bearing characteristics (in three possible standard configurations) of permanent magnet bearings (PMBs) are evaluated using matlab codes. Further, results of the model are validated with finite element analysis (FEA) results for five ring pairs. Developed matlab codes are further utilized to determine only the axial force and axial stiffness in three stacked PMB configurations by varying the number of rings. Finally, the correlation between the bearing characteristics (PMB with only one and multiple ring pairs) is proposed and discussed in detail. The proposed mathematical model might be useful for the selection of suitable configuration of PMB as well as its optimization for geometrical parameters for high-speed applications. © Copyright 2016 by ASME.

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