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.

Effect of compaction pressure on microstructure, density and hardness of Copper prepared by Powder Metallurgy route

Abstract: The Copper samples were prepared by powder metallurgy route and conventional sintering. The objective of the present work is to study the effect of compaction pressure on the bulk hardness, densification behaviour and microstructure of the Copper. The Copper powder is compacted with compaction pressure 500, 600, 700 and 730 MPa. The sintering of all green compact is performed at 750°C for 1.5 hour in conventional muffle furnace. Compaction pressure highly influences the pore size as well as number of pores. With increase in compaction pressure the surface contact area of the powder particles increase which reduce the porosity. The maximum valve of the density and hardness is obtained for 700 MPa and 3 min dwell time. Different characterization techniques such as Scanning electron microscope (SEM), X-ray diffraction (XRD) were used to characterize the sintered copper.

On Lie symmetries and soliton solutions of $$(2+1)$$ ( 2 + 1 ) -dimensional Bogoyavlenskii equations

Abstract: The present article is devoted to find some invariant solutions of the $$(2+1)$$ -dimensional Bogoyavlenskii equations using similarity transformations method. The system describes $$(2+1)$$ -dimensional interaction of a Riemann wave propagating along y-axis with a long wave along x-axis. All possible vector fields, commutative relations and symmetry reductions are obtained by using invariance property of Lie group. Meanwhile, the method reduces the number of independent variables by one, which leads to the reduction of Bogoyavlenskii equations into a system of ordinary differential equations. The system so obtained is solved under some parametric restrictions and provides invariant solutions. The derived solutions are much efficient to explain the several physical properties depending upon various existing arbitrary constants and functions. Moreover, some of them are more general than previously established results (Peng and Shen in Pramana 67:449–456, 2006; Malik et al. in Comput Math Appl 64:2850–2859, 2012; Zahran and Khater in Appl Math Model 40:1769–1775, 2016; Zayed and Al-Nowehy in Opt Quant Electron 49(359):1–23, 2017). In order to provide rich physical structures, the solutions are supplemented by numerical simulation, which yield some positons, negatons, kinks, wavefront, multisoliton and asymptotic nature.

Pm-EEMRP: Postural Movement Based Energy Efficient Multi-hop Routing Protocol for Intra Wireless Body Sensor Network (Intra-WBSN)

Abstract: Intra-WBSN plays an important role in health monitoring, military and consumer electronics. It iscomposed of wireless bio-sensor nodes which are strategically placed on the body. Due to body posture movement, network topology of Intra-WBSN changes continuously. It plays a significant role in Intra-WBSN. In proposed Pm-EEMRP, network stability, energy efficiency and high throughput are the prime parametersfor body posture movement in which sensing informations from bio-sensor nodes are forwarded to relay nodes. Relay nodesare deployed in cloths, which aggregate these data and forward it to body network controller (BNC). It provides reliable and comfortable health monitoring. Through simulation, the proposed routing protocol provides better network stability, improved energy efficiency and high throughput in comparison to conventional routing schemes.

Varna-based optimization: a novel method for capacitated controller placement problem in SDN

Abstract: Recently, software defined networking (SDN) is a promising paradigm shift that decouples the control plane from the data plane. It can centrally monitor and control the network through softwarization, i.e., controller. Multiple controllers are a necessity of current SDN based WAN. Placing multiple controllers in an optimum way is known as controller placement problem (CPP). Earlier, solutions of CPP only concentrated on propagation latency but overlooked the capacity of controllers and the dynamic load on switches, which is a significant factor in real networks. In this paper, we develop a novel optimization algorithm named varna-based optimization (VBO) and use it to solve CPP. To the best of our knowledge, this is the first attempt to minimize the total average latency of SDN along with the implementation of TLBO and Jaya algorithms to solve CPP for all twelve possible scenarios. Our experimental results show that TLBO outperforms PSO, and VBO outperforms TLBO and Jaya algorithms in all scenarios for all topologies.