NIT SilcharAssam

India

NIT SilcharAssam

India
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Gope S.,Mizoram University | Dawn S.,NIT SilcharAssam | Goswami A.K.,NIT SilcharAssam | Tiwari P.K.,NIT SilcharAssam
IEEE Region 10 Annual International Conference, Proceedings/TENCON | Year: 2017

Contingency is one of the most important issues in deregulated electricity market. Generator rescheduling or integration of FACTS devices are the most common techniques for mitigating the contingencies in modern power system. Recently major concern is given for renewable energy generation system. In this paper, renewable energy like wind farm (WF) generation is used for maximizing the profit as well as mitigating the contingency by minimizing the fuel cost and system losses. Line outage contingency index (LOCI) is used for finding the most critical line in the system. Contingency Constraint Optimal Power Flow (CCOPF) with the help of Moth Flame Optimization (MFO) algorithm is used to solve the problem. The proposed method has been tested on modified IEEE 30 bus system to analysis the effect wind farm in system. The obtained result shows that wind farm generation is very useful for minimizing the value of LOCI and maximizing the profit in deregulated electricity market. © 2016 IEEE.


Gope S.,Mizoram University | Dawn S.,NIT SilcharAssam | Goswami A.K.,NIT SilcharAssam | Tiwari P.K.,NIT SilcharAssam
IEEE Region 10 Annual International Conference, Proceedings/TENCON | Year: 2017

In a deregulated electricity market, bidding is a complex task because of generation and demand uncertainty. Recently major concern is given for maximizing the profit of the customers. Therefore, bidding is very important work for Independent System Operator (ISO) to maximize the profit of the market participant. In this paper, optimal bidding strategy of supplier under congested system has been proposed to maximize the profit of the market participant considering double sided bidding. Generator rescheduling based on the Generator Shift Factor (GSF) has been adopted in this paper for mitigating the congestion of the system. Moth Flame Optimization (MFO) algorithm has been used to obtain the solution of the bidding problem. A modified IEEE 30 bus system is used to analyze the bidding strategy in deregulated electricity market. © 2016 IEEE.


Singha J.,The LNM Institute of Information Technology | Semwal V.B.,IIIT Dharwad | Laskar R.H.,NIT SilcharAssam
IEEE Region 10 Annual International Conference, Proceedings/TENCON | Year: 2017

In a continuous video sequences, various difficulties arise in hand detection and tracking due to various difficulties such as complex background, changes in illumination, occlusion and change in the shape of hand during gesticulation. In this paper, we propose a robust hand detector and tracker which is able to overcome these various challenges. The scheme comprises of two algorithms. Initially, the hand is segmented using an improved method of combination of information from skin color detection and three frame differencing. After detection, the tracking of hand is done using the modified KLT feature tracker where the feature selection is done a priori using the compactness and diversity criteria. Finally, color cues are used to locate hand in the neighborhood of the tracked region. Our experimental results shows that our proposed tracker provides better results in comparison to existing trackers on various challenging hand sequences. © 2016 IEEE.


Debnath P.,NIT SilcharAssam | Pandey K.M.,NIT SilcharAssam
International Journal of Spray and Combustion Dynamics | Year: 2017

Exergy losses during the combustion process, heat transfer, and fuel utilization play a vital role in the analysis of the exergetic efficiency of combustion process. Detonation is thermodynamically more efficient than deflagration mode of combustion. Detonation combustion technology inside the pulse detonation engine using hydrogen as a fuel is energetic propulsion system for next generation. In this study, the main objective of this work is to quantify the exergetic efficiency of hydrogen–air combustion for deflagration and detonation combustion process. Further detonation parameters are calculated using 0.25, 0.35, and 0.55 of H2 mass concentrations in the combustion process. The simulations have been performed for converging the solution using commercial computational fluid dynamics package Ansys Fluent solver. The details of combustion physics in chemical reacting flows of hydrogen–air mixture in two control volumes were simulated using species transport model with eddy dissipation turbulence chemistry interaction. From these simulations it was observed that exergy loss in the deflagration combustion process is higher in comparison to the detonation combustion process. The major observation was that pilot fuel economy for the two combustion processes and augmentation of exergetic efficiencies are better in the detonation combustion process. The maximum exergetic efficiency of 55.12%, 53.19%, and 23.43% from deflagration combustion process and from detonation combustion process, 67.55%, 57.49%, and 24.89%, are obtained from aforesaid H2 mass fraction. It was also found that for lesser fuel mass fraction higher exergetic efficiency was observed. © 2016, © The Author(s) 2016.


Mahanta J.,NIT SilcharAssam | Das P.K.,NERISTArunachal Pradesh
Advances in Intelligent Systems and Computing | Year: 2015

In spatial data modeling, the topological notion “continuous function” can link the spatial data with the modeled real world. In this article, we study fuzzy weakly continuous function and fuzzy weakly irresolute functions from set theoretic point of view. These generalizations of continuous functions in fuzzy setting will bring new practically relevant models in image processing. © Springer India 2015.


Das K.N.,NIT SilcharAssam | Parouha R.P.,NIT SilcharAssam
Advances in Intelligent Systems and Computing | Year: 2014

A novel hybrid swarm intelligent algorithm of DE and PSO is proposed in this paper based on a tri-breakup concept in the population. The algorithm thus design is named as DE-PSO-DE, shortly DPD algorithm. By this proposed mechanism, all individuals in the population are portioned into three group’s namely inferior, mid and superior group, based on their fitness values. DE is employed to the inferior and superior group whereas; PSO is used in the mid group. Initially the suitable mutation operators for both DEs (used in DPD) are investigated. Later, top 4 DPDs (Viz. DPDs those use best 4 combinations of mutation strategies in DE) are chosen for further study. DPD combines the global search ability of DE and the local search ability of PSO. The process of hybridization offsets the weaknesses of each other. In addition, two strategies namely Elitism and Non-redundant search have been incorporated in DPD cycle. The supremacy of DPD is realized over a set of typical unconstrained benchmark suite problems. Lastly, all top 4 DPDs are used in solving three real life problems. The numerical and graphical results confirm that the proposed DPD yields more accurate values with faster convergence rate. Finally, a particular DPD is recommended as the best amongst all DPDs to solve unconstrained global optimization problems. © Springer India 2014.


Debbarma A.,N.I.T. SilcharAssam | Pandey K.M.,N.I.T. SilcharAssam
Nuclear Engineering and Design | Year: 2016

The transient numerical analysis of the rewetting of Advanced Heavy Water Reactor (AHWR) fuel assembly with jet impingement has been conducted. The present study is concerned with three different types of jet impingement directions, Model: M is the existing design of AHWR and other two Model: X and X2 was introduced in the study and compared with an existing model of AHWR. The present investigation aims to study thermo-rewetting behavior with respect to the coolant jet impingement directions. The computational results are validated with available experimental data. It is observed that the wetting delay has been reduced significantly with the proposed jet models and the jet direction has been an effective parameter in increasing the rewetting performance. © 2016 Elsevier B.V.


Chander S.,NIT SilcharAssam | Bhowmick B.,NIT SilcharAssam | Baishya S.,NIT SilcharAssam
Superlattices and Microstructures | Year: 2015

Abstract In this work, a hetero-junction fully depleted (FD) Silicon-on-Insulator (SOI) Tunnel Field Effect Transistor (TFET) nanostructure with oxide overlap on the Germanium-source region is proposed. Investigations using Synopsys Technology Computer Aided Design (TCAD) simulation tools reveal that the simple oxide overlap on the Germanium-source region increases the tunneling area as well as the tunneling current without degrading the band-to-band tunneling (BTBT) and improves the device performance. More importantly, the improvement is independent of gate overlap. Simulation study shows improvement in ON current, subthreshold swing (SS), OFF current, ION/IOFF ration, threshold voltage and transconductance. The proposed device with hafnium oxide (HfO2)/Aluminium Nitride (AlN) stack dielectric material offers an average subthreshold swing of 22 mV/decade and high ION/IOFF ratio (∼1010) at VDS = 0.4 V. Compared to conventional TFET, the Miller capacitance of the device shows the enhanced performance. The impact of the drain voltage variation on different parameters such as threshold voltage, subthreshold swing, transconductance, and ION/IOFF ration are also found to be satisfactory. From fabrication point of view also it is easy to utilize the existing CMOS process flows to fabricate the proposed device. © 2015 Elsevier Ltd.


Lochan K.,NIT SilcharAssam | Roy B.K.,NIT SilcharAssam
Advances in Intelligent Systems and Computing | Year: 2015

This paper reviews the literature on control of 2-DOF robot manipulator using fuzzy logic control (FLC). Different schemes of FLC laws are considered here. These are PID control, sliding mode control (SMC), and adaptive control. Importance of each control techniques with its advantages and disadvantages is discussed here. It is highlighted that the robustness of the system has improved considerably by using FLC than classical controller. A total of 65 papers were surveyed in this research area, covering contribution on each control technique for the 2-DOF robot manipulator for the time span of 1983–2014. © Springer India 2015.


Sinha S.K.,NIT SilcharAssam | Chaudhury S.,NIT SilcharAssam
Journal of Nano Research | Year: 2016

In this paper, we have analyzed the effect of chiral vector, temperature, metal work function, channel length and High-K dielectric on threshold voltage of CNTFET devices. We have also compared the effect of oxide thickness on gate capacitance and justified the advantage a CNTFET provides over MOSFET in nanometer regime. Simulation on HSPICE tool shows that high threshold voltage can be achieved at low chiral vector pair in CNTFET. It is also observed that the temperature has a negligible effect on threshold voltage of CNTFET. After that we have simulated and observed the effect of channel length variation on threshold voltage of CNTFET as well as MOSFET devices and given a theoretical analysis on it. We found an unusual, yet, favorable characteristics that the threshold voltage increases with decreasing channel length in CNTFET devices in deep nanometer regime. ©(2016) Trans Tech Publications, Switzerland.

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