Indian Institute of Technology Bhubaneswar

About: Indian Institute of Technology Bhubaneswar is a education organization based out in Bhubaneswar, India. It is known for research contribution in the topics: Large Hadron Collider & Computer science. The organization has 1185 authors who have published 3132 publications receiving 48832 citations.

Pressure-enabled phonon engineering in metals.

Abstract: We present a combined first-principles and experimental study of the electrical resistivity in aluminum and copper samples under pressures up to 2 GPa. The calculations are based on first-principles density functional perturbation theory, whereas the experimental setup uses a solid media piston–cylinder apparatus at room temperature. We find that upon pressurizing each metal, the phonon spectra are blue-shifted and the net electron–phonon interaction is suppressed relative to the unstrained crystal. This reduction in electron–phonon scattering results in a decrease in the electrical resistivity under pressure, which is more pronounced for aluminum than for copper. We show that density functional perturbation theory can be used to accurately predict the pressure response of the electrical resistivity in these metals. This work demonstrates how the phonon spectra in metals can be engineered through pressure to achieve more attractive electrical properties.

An Optimized Path Planning for the Mobile Robot Using Potential Field Method and PSO Algorithm

Abstract: The main aim of any path/motion planning algorithm in the context of a mobile robot is to produce a collision-/crash-free path among the goal and start points in an environment in which it is present. The past few decades have seen the development of various methodologies to design an optimal path. The present research focuses on the development of an optimized path planning algorithm for the robot using a hybrid method after combining particle swarm optimization (PSO) algorithm with potential field method for static obstacles and potential field method (PFM) prediction for dynamic obstacles. While implementing, PSO-based potential field method, the total potential, that is the sum of repulsive and attractive potentials, is considered as the fitness function which is optimized using PSO algorithm. Further, a 3-point method has been used for smoothing the obtained path. Once the image of the scene is obtained, a clustering method is employed to find the center of obstacle and the location of the robot has been determined by calculating the repulsive potential in each iteration. Finally, the developed algorithms are tested on both the static and dynamic environments in computer simulations and found satisfactory.

Koopman Analysis Based Wide-Area Back-Up Protection and Faulted Line Identification for Series-Compensated Power Network

Abstract: The paper presents wide-area back-up protection (WABP) and faulted line identification (FLI) scheme for series-compensated power transmission network. The proposed scheme uses the Koopman mode technique on fault current data obtained from phasor measurement units for WABP and FLI. The main advantage of the proposed scheme is that it is based on spatiotemporal information system (STIS). As we know that in real-world applications, often time and space exist together, and hence, dealing with spatial aspect without considering temporal aspect is of limited use. Similarly, the introduction of series compensation in a power transmission network is common nowadays due to many technical benefits. The FLI in a power network with series-compensation is more complicated due to complex transients produced by series capacitor and the metal–oxide varistor. The proposed scheme is developed using STIS for WABP and FLI under stressed conditions including power swing and load encroachment. The New England 39 bus system is used as the test system, which is developed on Dig-Silent power factory commercial software (PF4C) platform for evaluating the performance of the proposed technique. Further, the efficacy of the proposed scheme is also tested for other critical situations such as symmetrical fault during power swing and multievent detection and found to work effectively.