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 & Electric power system. The organization has 503 authors who have published 1062 publications receiving 6818 citations. The organization is also known as: NIT Meghalaya & NITM.

Analysis for Material Selection of Robot Soft Finger Used for Power Grasping

Abstract: The geometric relationship between contact parameters such as deformation, contact area and touch angle of robot soft finger is developed. The suggested nonlinear cylindrical soft finger deforms on the application of normal load and contact surface and touches angle grow correspondingly. The force relationship between contact parameters and geometrical data is derived. The developed theoretical model enables to determine the total contact force at the contact surface manipulation. The theoretical model is validated by conducting experiments with the artificial finger of hyperelastic material (Silicone Ecoflex 00-30). The contact width is measured by conducting compression testing from 10 N to 100 N with an increment of 10 N on silicone finger to leave a vivid print on recording paper, and contact area is calculated from those data. The importance of coefficient of friction cannot be overlooked. The value of coefficient of friction is also calculated from inclined test result. The developed model and soft finger can be used for tackling real-life problems related to object manipulations.

A Ternary Decision Diagram (TDD)-Based Synthesis Approach for Ternary Logic Circuits

Abstract: Ternary reversible logic synthesis has started gaining the attention of researchers in recent years because of its distinct advantages over binary reversible logic synthesis. However, the existing methods for the synthesis of ternary reversible logic circuits are applicable only to smaller benchmarks. The present paper proposes an efficient synthesis approach in this regard using ternary decision diagrams (TDDs). A TDD is first generated for the function that is to be synthesized. Then, using a gate library of ternary reversible gates, each TDD node is mapped to a sequence of ternary reversible gates that are finally merged together to form the required netlist. The ternary gate library consists of ternary reversible gates such as multi-polarity ternary Feynman gate and multi-polarity ternary Toffoli gate. To estimate the quantum cost, we propose a decomposition approach to represent a ternary reversible gate in terms of ternary elementary gates. We have carried out experimental evaluation on two types of benchmarks. The first type consists of binary reversible benchmarks converted into ternary reversible benchmarks using a transformation approach. The second type is based on ternary non-reversible benchmarks. We have reported the results for benchmarks with up to 13 inputs with a longest runtime of 7 min, which compares favourably with the existing works in the literature.

Performance assessment of islanding detection using complex wavelet in a three-phase utility interactive inverter system

Abstract: This paper focuses on the performance assessment of a complex wavelet transform (CWT) based passive islanding detection technique in a three-phase utility interactive inverter system under various transient scenarios such as faults, unbalance and distorted grid voltage. It is envisaged in various litterers that passive detection techniques have a larger nondetection zone (NDZ), whereas active islanding detection techniques have smaller NDZ. But, active detection scheme deteriorates the power quality (PQ) of a system. In this study, a CWT based detection scheme is used to obtain time-frequency localization of the islanding situation as well as PQ disturbances in a DG interfacing inverter system. The system is simulated using MATLAB/SIMULINK platform for demonstrating the effectiveness and superior performance of CWT based detection technique compared to conventional db8 wavelet transform (WT) under various perturbations.