National Institute of Technology, Meghalaya

About: National Institute of Technology, Meghalaya is a education organization based out in Shillong, India. It is known for research contribution in the topics: Control theory & Computer science. The organization has 503 authors who have published 1062 publications receiving 6818 citations. The organization is also known as: NIT Meghalaya & NITM.

Novel porous heteroatom-doped biomass activated carbon nanoflakes for efficient solid-state symmetric supercapacitor devices

Abstract: Background Heteroatom-doped carbon structures derived from sustainable biomass for energy storage applications are a promising aspirant to the scientific community. Highly efficiency activated carbon materials derived from cheap, plentiful, but unwanted natural wastes are interestingly promising for large-scale applications. Methods Facile methods of chemical activation and carbonization using a simple pyrolysis technique under inert atmosphere were applied to synthesize heteroatom-doped porous activated carbon nanoflakes using Sechium edule leaves as biomass precursor. Significant findings The research findings of the present work indicate large effective surface area and porosity of as-synthesized nitrogen-doped activated carbon nanoflakes that led to display excellent specific capacitance of 334 F g−1 at 1 A g−1 current density in strong acidic electrolyte using a three-electrode system. The electrokinetic analysis demonstrate that the major contribution of capacitive nature (90%) was observed to accumulate the total charge. Further, all solid-state symmetric supercapacitor (SSC) devices fabricated using as-synthesized carbon nanoflakes with gel electrolyte (PVA-H2SO4) exhibited a maximum capacitance of 114 F g−1 at 1 A g−1, a maximum energy density of 63.33 Wh kg−1 and power density of 10 kW kg−1. The retention of specific capacitance was found to be 93% with 5000 continuous cycles of charge-discharge process.

MMQT: Maximizing the Monitoring Quality for Targets Based on Probabilistic Sensing Model in Rechargeable Wireless Sensor Networks

Abstract: In wireless sensor networks (WSNs), target coverage is an important issue which aims at finding a set of sensors to monitor the targets for maximizing both the surveillance quality and network lifetime. However, most of them assumed that each sensor is battery powered and the Boolean Sensing Model (BSM) is applied. Sensors powered by battery have a limited lifetime while the BSM is difficult to reflect the physical features of sensing. This paper proposes target coverage mechanisms, called C-MMQT and D-MMQT , which consider the solar-powered sensors and allows the battery to be recharged for maintaining the perpetual lifetime of sensor networks. The proposed mechanisms apply the Probabilistic Sensing Model (PSM) and consider that different targets have different importance. Two challenges have been overcome in this paper. First, each sensor is well scheduled for switching between recharging and working states for maintaining its perpetual lifetime since its battery is solar powered. Second, the sensors that are able to monitor the common target are well scheduled for cooperative sensing to maximize the surveillance quality since PSM is applied. Two efficient sensor schedules are proposed to maximize the surveillance quality of the bottleneck target which has the lowest surveillance quality. Performance study shows that the proposed mechanisms outperform the existing mechanisms in terms of Quality of Monitoring, Average utility, Fairness and Efficiency index.

Soft Computing Based Force Recovery Technique for Hypersonic Shock Tunnel Tests

Abstract: A hemispherical model equipped with a three component accelerometer force balance has been tested in a shock tunnel at Mach 8.0 freestream conditions. A novel technique has been devised using the Artificial Neuro-Fuzzy Inference System (ANFIS) for recovering the forces experienced by the model during the experiments. Implementation of this methodology in calibration of the force balance showed encouraging agreement with the impulse forces recovered from the calibration tests. The same recovery procedure is then adopted to obtain the time history of the forces for 0∘ and 15∘ angle of attack experiments. The drag recovered in steady state is found to agree well with the conventional methods with minor discrimination for the lift and pitching moment. In light of the limitation of the accelerometer force balance theory due to the unaccountability of model dynamics, the force recovery technique proposed herein is found simple to implement and can be opted as a tool for prediction of the aerodynamic coefficient...

Automatic generation control of an interconnected thermal system using a new classical controller: A preliminary study

Abstract: This paper deals with automatic generation control of an interconnected two area thermal system Appropriate generation rate constraints are considered in the areas Performances of several Classical controllers like Integral (I), Proportional plus Integral (PI), Proportional plus Integral plus Derivative (PID), Integral plus Double Derivative (IDD) are compared with newly introduced Classical Controller in AGC named as Proportional plus Integral plus Double Derivative (PIDD) controller Investigation reveals that PIDD controller gives better dynamics than the other Controller Further, selection of suitable value of governor speed regulation parameter (R) has been examined in presence of PIDD controller Moreover, Area Capacity effect on the system dynamic responses has been studied for the first time in AGC using PIDD Controller System dynamic responses are examined with 1% step load perturbation in area 1