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Meghalaya, India

National Institute of Technology Meghalaya also known as NIT Meghalaya or NITM is one of the 30 National Institutes of Technology situated in Shillong, Meghalaya, India. The classes of NIT Meghalaya were started in 2010 at the Sardar Vallabhbhai National Institute of Technology, Surat. Wikipedia.

Kalita H.M.,National Institute of Technology Meghalaya
Water Resources Management | Year: 2016

This paper presents a new efficient and robust hydrodynamic model for simulation of unsteady shallow water flow. The governing equations of shallow water flows in two dimensional forms are solved using a new total variation diminishing (TVD) MacCormack predictor corrector scheme. In this numerical technique an additional TVD term is added after the traditional predictor corrector steps. The advantage of the present TVD term is that it is very simple and gives accurate results at the same time removing the numerical oscillations. Further, application of semi implicit treatment of the friction slope term helps in flow simulation even with very low water depth. Finally the model is used to analyze a wide variety of hydraulic problems including quiescent water above irregular bed, steady flow over irregular bed, steady flow over irregular bed with a shock, dam break flow over dry bed and dam break flow over wet bed. For each of the cases numerical results are compared with available analytical solution and known experimental data. The agreements between the results are satisfactory. © 2016 Springer Science+Business Media Dordrecht Source

Das D.,National Institute of Technology Meghalaya
2015 International Conference on Electronic Design, Computer Networks and Automated Verification, EDCAV 2015 | Year: 2015

The paper describes the work on human gait recognition using Hidden Markov Model (HMM), Support Vector Machine (SVM) and Hybridized classifiers (developed using both HMM and SVM). Human gait data obtained from CASIA gait database were segmented to locate major human body part and generate corresponding stick view in order to extract gait features. A total of 25 features were obtained using the length of body parts and major joint angles along with other features and classified using HMM, SVM and Hybridized classifiers. The Hybridized classifier outperforms individual classifiers by 11.25% and 18.14% during training and testing respectively. © 2015 IEEE. Source

Debbarma S.,National Institute of Technology Meghalaya | Saikia L.C.,National Institute of Technology Silchar | Sinha N.,National Institute of Technology Silchar
International Journal of Electrical Power and Energy Systems | Year: 2014

In this paper, Two-Degree-of-Freedom-Fractional Order PID (2-DOF-FOPID) controller is proposed for automatic generation control (AGC) of power systems. Proposed controller is tested for the first time on a three unequal area thermal systems considering reheat turbines and appropriate generation rate constraints (GRCs). The simultaneous optimization of several parameters of the controllers and speed regulation parameter (R) of the governors is done by a recently developed metaheuristic nature-inspired algorithm known as Firefly Algorithm (FA). Investigation clearly reveals the superiority of the 2-DOF-FOPID controller in terms of settling time and reduced oscillations. Present work also explores the effectiveness of the Firefly algorithm based optimization technique in finding the optimal parameters of the controller and selection of R parameter. Further, the convergence characteristics of the FA are compared to justify its efficiency with other well established optimization technique such as PSO, BFO and ABC. Sensitivity analysis confirms the robustness of the 2-DOF-FOPID controller for different loading conditions and wide changes in inertia constant (H) parameter. Furthermore, the performance of proposed controller is tested against higher degree of perturbation and random load pattern. © 2014 Elsevier Ltd. All rights reserved. Source

Panda G.,National Institute of Technology Meghalaya | Kumar P.,National Institute of Technology Rourkela | Puhan P.S.,BIET | Dash S.K.,SUIIT
International Journal of Electrical Power and Energy Systems | Year: 2013

Estimation of power system harmonics and their elimination is an interdisciplinary area of interest for many researchers. This paper presents Variable Step Size Least Mean Square (VSS-LMS) approach for harmonics estimation and Shunt Active Power Filter (SAPF) with two-level Hysteresis Current Control (HCC) technique for their elimination in a three-phase distribution system. In the estimation process, the weight is updated using VSS-LMS algorithm. Harmonics components are estimated from the updated weights. In order to mitigate harmonics produced by the nonlinear load connected in a three-phase distribution system, SAPF with two-level HCC is proposed. A three-phase insulated gate bipolar transistor (IGBT) based current controlled voltage source inverter (CC VSI) with a dc bus capacitor is used as an active power filter. The first step is to calculate SAPF reference currents from the sensed nonlinear load currents by applying the synchronous detection method and then the reference currents are fed to the proposed controller for generation of switching signals. The nonlinear load consists of one three-phase and one single-phase diode rectifier feeding R-L load, so that the effectiveness of the two-level HCC scheme to compensate for unbalanced nonlinear load can be tested. Various simulation results are presented to verify the good behavior of the SAPF with proposed two levels HCC. © 2013 Published by Elsevier Ltd. Source

Debbarma S.,National Institute of Technology Meghalaya | Chandra Saikia L.,National Institute of Technology Silchar | Sinha N.,National Institute of Technology Silchar
ISA Transactions | Year: 2014

Present work focused on automatic generation control (AGC) of a three unequal area thermal systems considering reheat turbines and appropriate generation rate constraints (GRC). A fractional order (FO) controller named as IλDμ controller based on crone approximation is proposed for the first time as an appropriate technique to solve the multi-area AGC problem in power systems. A recently developed metaheuristic algorithm known as firefly algorithm (FA) is used for the simultaneous optimization of the gains and other parameters such as order of integrator (λ) and differentiator (μ) of IλDμ controller and governor speed regulation parameters (R). The dynamic responses corresponding to optimized IλDμ controller gains, λ, μ, and R are compared with that of classical integer order (IO) controllers such as I, PI and PID controllers. Simulation results show that the proposed IλDμ controller provides more improved dynamic responses and outperforms the IO based classical controllers. Further, sensitivity analysis confirms the robustness of the so optimized I λDμ controller to wide changes in system loading conditions and size and position of SLP. Proposed controller is also found to have performed well as compared to IO based controllers when SLP takes place simultaneously in any two areas or all the areas. Robustness of the proposed IλDμ controller is also tested against system parameter variations. © 2013 ISA. Source

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