North Eastern Regional Institute of Science and Technology

About: North Eastern Regional Institute of Science and Technology is a education organization based out in Itanagar, India. It is known for research contribution in the topics: Population & Raman spectroscopy. The organization has 813 authors who have published 1429 publications receiving 16122 citations.

Spatio-temporal analysis of land use and land cover change: a systematic model inter-comparison driven by integrated modelling techniques

Abstract: Currently, land use and land cover change (LULCC) is of utmost concern for global environmental change and sustainability. Among the portfolio of techniques, modelling is considered as the best app...

Artificial Neural Synchronization Using Nature Inspired Whale Optimization

Abstract: In this article, a whale optimization-based neural synchronization has been proposed for the development of the key exchange protocol At the time of exchange of sensitive information, intruders can effortlessly perform sniffing, spoofing, phishing, or Man-In-The-Middle (MITM) attack to tamper the vital information Information needs to be secretly transmitted with high level of encryption by preserving the authentication, confidentiality, and integrity factors Such stated requirements urge the researchers to develop a neural network-based fast and robust security protocol A special neural network structure called Double Layer Tree Parity Machine (DLTPM) is proposed for neural synchronization Two DLTPMs accept the common input and different weight vectors and update the weights using neural learning rules by exchanging their output In some steps, it results in complete synchronization, and the weights of the two DLTMs become identical These identical weights serve as a secret key There is, however, hardly any research in the field of neural weight vector optimization using a nature-inspired algorithm for faster neural synchronization In this article, whale optimization-based DLTPM is proposed For faster synchronization, this proposed DLTPM model uses a whale algorithm optimized weight vector This proposed DLTPM model is faster and has better security This proposed technique has been passed through a series of parametric tests The results have been compared with some recent techniques The results of the proposed technique have shown effective and has robust potential

Evaluation of Dynamic Mechanical and Thermal Behavior of HDPE Reinforced with MWCNT/h-BNNP: An Attempt to Find Possible Substitute for a Metallic Knee in Transfemoral Prosthesis

Abstract: Nanotechnology has extended applications of conventional engineering plastics like high-density polyethylene (HDPE) to different biomedical implants such as articular cartilage and fracture fixation plates. However, applications in a load-bearing element like a prosthetic knee require estimation of static, dynamic mechanical, and variation of mechanical properties with temperature. The current work reports on the application of HDPE-based nanocomposite as a possible substitute for a metallic knee in a prosthetic leg. HDPE was reinforced with multiwalled carbon nanotubes (MWCNTs)-1D and boron nitride nanoplatelets (h-BNNPs)-2D to form different composites and hybrids. The preparation route followed the mechanical mixing tandem by curing in a vacuum oven. Dynamic mechanical thermal analysis (DMTA) results confirmed the best elastic and damping property by 0.1 MWCNT composite. The mechanical properties like hardness, impact toughness, and stiffness of 0.25 MWCNT/0.15 h-BNNP were observed to increase by 172 %, 190 %, and 50 % in comparison with pure HDPE. A similar observation was noted during the evaluation of thermal conductivity, thermal stability, and %crystallinity. A modified Halpin–Tsai and Hamilton–Crosser model was used to predict the stiffness and thermal conductivity of composites. The test results confirmed 0.25 MWCNT/0.15 h-BNNP as a potential possible substitute for a metallic knee in a transfemoral prosthesis.