Goel K.,Thapar University |
Goel I.,Sun Eee Inc.
Proceedings of the International Conference on Inventive Computation Technologies, ICICT 2016 | Year: 2017
In Today's era the role of information technology has seen a great influence on the upcoming or existing inventions. The need of storage and computational power has all always been an issue until cloud computing came into emergence. Due to emergence of big data it has been difficult to manage data so for this purposes cloud computing is a great technique. In this paper the advantages and various service models of cloud are discussed. This paper highlights the need of cloud computing in today's world. This paper shows the importance of cloud computing in the field of social media applications which can be used by advertising companies to share huge data. Also paper puts forward the proposed model that can deal with data redundancy with the help of cloud computing in connecting social media sites with advertising companies.
Suraj S.,E and CE |
Soman S.,Sun Eee Inc. |
Jijesh J.J.,E and CE
2016 IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2016 - Proceedings | Year: 2016
Boost converter with high power has turned into the key part of the power framework that enables power to be completely used. The novel way to accomplish a decreased current ripple and voltage ripple for dc chopper is actualized. Typical boost converter is interleaved to stop high input current stress on the switches. Interleaved Dual Boost Converter has two boost converter worked in parallel and controlled utilizing interleaved strategy with same frequency and phase shift. This method permits assembling a high productive and compact converter. In this paper different parameters of the interleaved dual boost converter are contrasted with a conventional boost converter for an output of 70V, 2A. The outcomes demonstrate that this converter accomplishes a superior performance. © 2016 IEEE.
Kiran R.,The Academy of Management |
Lakshmikantha B.R.,The Academy of Management |
Parimala R.V.,Sun Eee Inc.
2016 IEEE Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2016 | Year: 2016
Secure operation of power systems requires proper monitoring of the system operating conditions. PMU (Phasor measurement units) are the device which uses synchronized signals from the Geometric Positioning Satellite System(GPS) satellites and provide the phasors information of voltage and currents at a given substation. To avoid redundant use of PMUs, the optimal locations for the Phasor measurement units must be determined. The objective of this paper is to make power system fully observable by using minimal number of Phasor measurement units & the implementation of stability software at 220kV grid for on-line estimation of the power system transfer capability based on voltage and thermal limitations and for security monitoring. This software utilizes State Estimator (SE) and synchrophasor PMU data sets for determining the power system operational margin under normal and contingency conditions. This software improves security of transmission system by continuously monitoring operational margin expressed in MW or in bus voltage angles, and alarms the operator if the margin violates a pre-defined threshold. © 2016 IEEE.
Liu S.,Sun Eee Inc. |
Zhang J.,SCE |
Miao C.,SCE |
Theng Y.-L.,Nanyang Technological University |
Kot A.C.,Sun Eee Inc.
10th International Conference on Autonomous Agents and Multiagent Systems 2011, AAMAS 2011 | Year: 2011
The problem of unfair testimonies has to be addressed effectively to improve the robustness of reputation systems. We propose an integrated CLUstering-Based approach called iCLUB to filter unfair testimonies for reputation systems using multi-nominal testimonies, in multiagent-based electronic commerce. It adopts clustering and considers buying agents' local and global knowledge about selling agents. Experimental evaluation demonstrates promising results of our approach in filtering various types of unfair testimonies. Copyright © 2011, International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.
Mahender K.,PE.SREC |
Subhash B.,Sun Eee Inc.
Asia Pacific Conference on Postgraduate Research in Microelectronics and Electronics | Year: 2013
This paper presents a study to determine the optimal Location of a superconducting fault-current limiter (SFCL). The introduction of new generating facilities by independent power producers and increasing load demand can result in increased fault current. Due to the grid connection of the micro grids with the current power grids, excessive fault current is a serious problem to be solved for successful implementation of micro grids with SFCL. In this work a resistive superconducting fault current limiter designed. To reduce the fault current in the micro grid the designed SFCL placed in proposed system, which consists of a conventional power plant and 10MVA wind farm. The effect of SFCL on the micro grid, and optimal position for SFCL to get more reduction percentage of wind farm faults current. © 2013 IEEE.
Abitha Memala W.,Sun Eee Inc. |
Rajini V.,Sun Eee Inc.
International Journal of Applied Engineering Research | Year: 2015
In our work, the induction motor stator current is analyzed with discrete wavelet transform to distinguish the healthy and faulty spectrum. The inter-turn short circuit fault is created in real time and it is analysed. The wavelet transform uses wavelet coefficients and its statistical parameters as fault indicators. The results have to be compared to give better solution in fault diagnosis. © Research India Publications.
W. A.M.,Sun Eee Inc. |
Rajini V.,Sun Eee Inc.
Intelligent Automation and Soft Computing | Year: 2016
Induction motor inter-turn short circuit stator fault is identified using motor current signals with the help of Discrete Wavelet Transform along with Power Spectral Density. This methodology is adopted for motor current signals and their envelopes in order to identify a better tool for fault diagnosis. First, the analysis is performed using the original stator current signal, which has the fundamental frequency components along with the slip frequency and other harmonic/fault components. The fundamental component in the stator current can be eliminated by using the envelope of the signal. The transient in the wavelet decomposition can be suppressed by modifying the current envelope. This is done by pre-multiplying the original envelope with the Tukey window. The Power Spectral Density is calculated for both the signatures. Comparison of these two methods show that the proposed analysis based on modified envelope using Discrete Wavelet Transform along with Power Spectral Density offers better results compared to the original signal analysis. © 2016 TSI® Press
Kalaivani L.,Sun Eee Inc. |
Subburaj P.,Sun Eee Inc.
2011 1st International Conference on Electrical Energy Systems, ICEES 2011 | Year: 2011
A fuzzy control scheme and adaptive neuro fuzzy inference system for torque-ripple minimization of switched reluctance machines is presented. The fuzzy parameters are initially chosen randomly and then adjusted to optimize the control. The controller produces smooth torque up to the motor base speed. The torque is generated over the maximum positive torque-producing region of a phase. This increases the torque density and avoids high current peaks. The controller is robust toward errors in the rotor position information, which means inexpensive crude position sensors can be used. This paper presents a novel method of controlling the motor currents to minimise the torque ripple based on a fuzzy logic current compensator. In the proposed controller, a compensating signal is added to the output in a current-regulated speed control-loop. The compensating signal is learned prior to normal operation, in a self-commissioning run, but the neuro-fuzzy methodology is also suitable for on-line self-learning implementation, for continuous improvement of the compensating signal presented. The controller shows good response in both cases. Performance of the proposed strategy is verified by simulation using MATLAB. © 2011 IEEE.
Abitha M.W.,Sun Eee Inc. |
Rajini V.,Sun Eee Inc.
Advanced Materials Research | Year: 2014
The three phase induction motor is a popularly used machine in many of the industries, which is well known for its robustness, reliability, cost effectiveness, efficient and safe operation. The unnoticed manufacturing failure, mistakes during repair work, exceeding life time may be some of the causes of the induction motor failure, which may lead to the unknown shut down time of the industry. The condition monitoring plays important role as it has the influence on the production of materials and profit. In our work, the induction motor is modelled using stationary reference frame and analysed for single phasing stator fault. The techniques used in detecting the single phasing (open circuit) failures are Park's vector approach and Fast Fourier Transform (FFT). Park's vectorapproach is used for detecting the faults occurring at various phases and FFT is used for detecting the faults of the induction motor working under no load and varying loading conditions. © (2014) Trans Tech Publications, Switzerland.