Motilal Nehru National Institute of Technology Allahabad

About: Motilal Nehru National Institute of Technology Allahabad is a education organization based out in Allahabad, Uttar Pradesh, India. It is known for research contribution in the topics: Control theory & Electric power system. The organization has 2475 authors who have published 5067 publications receiving 61891 citations. The organization is also known as: NIT Allahabad & Motilal Nehru Regional Engineering College.

Numerical Solution of Bratu’s Problem Using Multilayer Perceptron Neural Network Method

Abstract: In this article, an artificial neural network (ANN) method is presented to obtain the closed analytic form of the one dimensional Bratu type equations, which are widely applicable in fuel ignition of the combustion theory and heat transfer. Our goal is to provide optimal solution of Bratu type equations with reduced calculus effort using ANN method in comparison to the other existing methods. Various test cases have been simulated using proposed neural network model and the accuracy has been substantiated by considering a large number of simulation data for each model with enough independent runs. Numerical results show that this method has potentiality to become an efficient approach for solving Bratu’s problems with less computing time and memory space.

Knowledge Management Implementation: A Predictive Model Using an Analytical Hierarchical Process

Abstract: The aim of this paper is to understand knowledge management enablers (KMEs) and to identify priority weights to evaluate the strength of the corresponding factors present before knowledge management (KM) implementation. It uses analytic hierarchy process (AHP) methodology to prioritize KMEs that support the KM implementation in organizations. Further, a questionnaire-based survey was also conducted to rank the KMEs. These KMEs were selected from literature reviews and expert discussion. The AHP method, which has the ability to structure complex, multiperson, multiattribute, and multiperiod problem hierarchically, has been used. Pairwise comparisons of KMEs (usually, alternatives and attributes) can be established using a scale indicating the strength with which one KME dominates another with respect to a higher level KME. This scaling process can then be translated into priority weights. The AHP can be a useful guide in the decision-making process of KM implementation. It has been observed that KME11 has high priority weights.

A New Energy-efficient Clustering Protocol for Wireless Sensor Networks

Abstract: In this paper, we propose an energy-efficient clustering protocol for wireless sensor networks The wireless sensor network can be represented by virtual groups known as clusters In comparison with tree-based wireless sensor networks, clustering is an effective technique for prolonging sensor network life, and for load balancing The proposed protocol runs in a distributed environment There are two important parameters, namely hold back (t), and number of hops (h) in the proposed algorithm The proposed protocol forms clusters at a distance of at most h hops from the clusterhead Every node initializes its hold back value with a randomly generated value The size of the cluster depends on the value of h In comparison to Adaptive clustering protocol, the new protocol avoids broadcasting cluster messages unnecessarily The sensor node with t = 0, becomes the clusterhead and broadcasts a cluster message to form a cluster In the proposed algorithm, every node does not start broadcasting The proposed algorithm reelects clusterheads during maintenance phase Hence, this algorithm adapts to the dynamic nature of the wireless sensor networks The simulation results demonstrate that the proposed protocol reduces energy consumption

Microstructure studies of air-plasma-spray-deposited CoNiCrAlY coatings before and after thermal cyclic loading for high-temperature application

Abstract: In the present study, bond-coats for thermal barrier coatings were deposited via air plasma spraying (APS) techniques onto Inconel 800 and Hastelloy C-276 alloy substrates. Scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray diffraction (XRD), and atomic force microscopy (AFM) were used to investigate the phases and microstructure of the as-sprayed, APS-deposited CoNiCrAlY bond-coatings. The aim of this work was to study the suitability of the bond-coat materials for high temperature applications. Confirmation of nanoscale grains of the γ/γ′-phase was obtained by TEM, high-resolution TEM, and AFM. We concluded that these changes result from the plastic deformation of the bond-coat during the deposition, resulting in CoNiCrAlY bond-coatings with excellent thermal cyclic resistance suitable for use in high-temperature applications. Cyclic oxidative stability was observed to also depend on the underlying metallic alloy substrate.