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.

Power–Delay-Error-Efficient Approximate Adder for Error-Resilient Applications

Abstract: Power dissipation has been the prime concern for CMOS circuits. Approximate computing is a potential solution for addressing this concern as it reduces power consumption resulting in improved perfo...

Exact Synthesis of Ternary Reversible Functions Using Ternary Toffoli Gates

Abstract: Realization of logic functions using ternary reversible logic is known to requirelesser number of lines as compared to conventionalbinary reversible logic. This aspect of ternary reversible logic has motivated researchers to explore various synthesis approaches in the past. Existing synthesis methods require additional lines (called ancilla lines)for synthesis, which is expensive from the quantum implementation pointof view. There is no reported work for ternary reversible logic synthesisthat require the minimum possible number of gates and also lines. Thisclass of synthesis methods is called exact synthesis. In this paper two exact synthesis methods for ternary reversible logic have been proposed for the first time, one based on booleansatisfiability (SAT) and the other based on level-constrained heuristic search technique. A permutation representing a reversible ternary truth table is given as input, and a reversible circuit consisting ofgeneralized ternary Toffoli gates that implements the permutationis obtained as output. Experimental studies have been carried out on various randomly generatedternary reversible functions.

CAERM: Coverage Aware Energy Replenishment Mechanism Using Mobile Charger in Wireless Sensor Networks

Abstract: Wireless charging is one of the most important issues in wireless sensor networks (WSNs), which aims to cope with the energy limitation problem of the sensors. Many of the existing researches applied the mobile charger to recharge the sensors for maintaining the perpetual lifetime of sensor networks. However, when choosing sensors to be recharged, the coverage contribution of sensors was ignored. This paper proposes a recharging scheme, called CAERM, which considers the coverage contribution of each requested sensor and constructs the recharging path to maximize the coverage of the whole networks. Two algorithms, including Simple Recharging Coverage Benefit (S-RCB) and Chain-Effect Recharging Coverage Benefit (CE-RCB) algorithms, are proposed to evaluate the coverage contribution of the requested sensors effectively. Through extensive simulations, experimental study shows that the proposed algorithm improves the recharging efficiency, while maximizing the coverage contribution and monitoring quality of the given sensor networks.

Computational Investigation of Porous Media Combustion Technology in Spark Ignition Engine

Abstract: In the present work, computational fluid dynamics approach is adopted to study the possibility of using porous media in combustion and emission in a single-cylinder four-stroke spark ignition engine. The combustion behavior inside the engine without and with application of porous media is studied. The analysis with application of PM signifies enhanced combustion behavior. The compression ratio is kept at 7. Two different types of fluid computational domains are considered, namely, without and with PM. The three-dimensional modeling, meshing and simulations of the combustion chambers are performed with the ANSYS 17.1-FLUENT software. The k–e turbulence model, the premixed combustion model and the spark ignition model are used in the study. The parameters to be analyzed are the variation of cylinder pressure, temperature and turbulence at different crank angles. The results of the computational work without PM are validated with the experimental work, which is executed on the research engine setup operated in SI mode. The work is performed at different engine loads by varying the engine torque, viz. 6 Nm (25%), 12 Nm (50%), 18 Nm (75%) and 24 Nm (100%) along with the no-load condition. The analyses of the results indicate that the peak value of total pressure (1,986,868.99 Pa) and average value of total temperature (632.63 K) with PM at 100% load are lower than without PM (1,992,314.50 Pa and 604.81 K). The concentrations of NOX emissions are significantly reduced by the use of PM for all the loads. The percentage reductions in NOX emissions at no load, 25%, 50%, 75% and 100%, are found to be 2.5%, 11.1%, 9.4%, 9% and 2.12%, respectively.