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.

Biochar from pyrolysis of rice husk biomass—characteristics, modification and environmental application

Abstract: Biochar produced from various biomass has been widely used in environmental applications owing to its ability to immobilize or remove the contaminants from soil, water and air. The present work summarizes various pyrolysis variants used for biochar production from rice husk, modification of biochar and its environmental application. The high volatile matter content (70.2–78.5%) and carbon content (35.2–44.7%) favoured production of biochar from rice husk through pyrolysis. Microwave-assisted hydrothermal carbonization showed highest biochar yield from rice husk (57.9%) compared to other process variants, whereas wet pyrolysis produced biochar with the highest carbon content (71.2%). Steam activation of rice husk biochar resulted in a broader pore size distribution with the presence of significant micropores compared to CO2 activation. A substantial improvement in surface area and microporous volume was observed with alkali activation compared to that of acid activation, whereas metal impregnation caused a reduction in surface area. Rice husk biochar with/without modification has been employed for adsorption of pollutants such as cations, dyes, nutrients and tetracycline. The nutrient-loaded rice husk biochar improved the soil fertility and cation exchange capacity. The studies indicated that the choice of suitable pyrolysis variant and biochar modification method is vital to improve the adsorption capacity and nutrient release potential of the rice husk biochar.

Recent advances in heterobimetallic catalysis across a “transition metal–tin” motif

Abstract: Heterobimetallic catalysts, bearing a metal–metal bond between a transition metal (TM) and a tin atom, are very promising due to their ability in mediating a wide variety of organic transformations. Indeed the utilization of such catalysts is a challenging and evolving area in the field of homogeneous catalysis. Catalysis across a ‘TM–Sn’ motif is an emerging area in the broader domain of multimetallic catalysis. The present review apprises the chemists' community of the past, present and future scope of this versatile catalytic motif. The TM–Sn catalyzed reactions presented include, among others, Friedel–Crafts alkylation, carbonylation, polymerization, cyclization, olefin metathesis, Heck coupling, hydroarylation Michael addition and tandem coupling. The mechanistic aspects of the reactions have been highlighted as well.

Deep Reinforcement Learning based Intrusion Detection System for Cloud Infrastructure

Abstract: Intrusion Detection in cloud platform is a challenging problem due to its extensive usage and distributed nature that are constant targets of new and unknown attacks. Intrusion detection system (IDS) is responsible for monitoring and detecting malicious activities in any computing system or a network. However, most of the traditional cloud IDSs are vulnerable to novel attacks. Also, they are incapable of maintaining a balance between high accuracy and less false positive rate (FPR). In this paper, we propose a deep reinforcement learning-based adaptive cloud IDS architecture that addresses the above limitations and performs accurate detection and fine-grained classification of new and complex attacks. We have done extensive experimentation using the benchmark UNSW-NB15 dataset that shows better accuracy and less FPR compared to the state-of-the-art IDSs.

Design and implementation of decoupled compensation for a twin rotor multiple-input and multiple-output system

Abstract: This study achieves compensation of a physical twin rotor multiple-input and multiple-output system in two steps: (i) input–output decoupling its transfer function model, obtained by linearising its non-linear model around an operating point, using an open-loop, minimal precompensator and (ii) effecting 2-degree of freedom single-input and single-output (SISO) compensations for the resulting SISO-decoupled units. While step (i) ensures decoupling in the responses, the other performances (such as robustness, tracking, disturbance rejection, etc.) can be achieved using SISO compensations in step (ii) above. The performances of the compensated system in respect of decoupling, loop robustness and disturbance rejection are verified through simulations and experiments. The results are also compared with the existing ones.