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: Computer science & Control theory. 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.

Preparation, characterization, and optical properties of a chitosan–anthraldehyde crosslinkable film

Abstract: A novel chitosan–anthraldehyde derivative film was prepared by the reaction of 79% deacetylated chitosan with 9-anthraldehyde with a hydrogel by a solution casting method. The prepared chitosan derivative film was confirmed by ultraviolet–visible absorption spectroscopy of the absorption peak at 266 nm due to the presence of an anthracene ring. The crosslinking reaction showed significant changes in the Fourier transform infrared spectrum of the chitosan derivative film. The characteristic peak of CHN stretching bands at 1610 cm−1 confirmed the formation of a Schiff base after the reaction of chitosan with 9-anthraldehyde. The film was evaluated by X-ray diffraction, scanning electron microscopy, photoluminescence spectroscopy, and second harmonic generation (SHG). The nature of the crystallinity of the chitosan derivative from X-ray diffraction analysis confirmed that the film may have had nonlinear optical properties. The chitosan derivative showed a redshifted emission maximum because of the electron-rich polymer main chain. No reabsorption of the second harmonic signal and no resonance enhancements were noticed during the SHG study; this indicated that the chitosan derivative possessed SHG ability. Overall, the chitosan derivative film opens new perspectives for optical material for biomedical applications. © 2009 Wiley Periodicals, Inc. J Appl Polym Sci, 2010

Optimal number of clusters in wireless sensor networks: a FCM approach

Abstract: Wireless sensor networks (WSNs) are resource constrained systems that needs efficient utilisation of all available resources. Clustering is well-known technique to achieve high scalability and efficient resource allocation in WSNs. This paper presents an approach to determine optimal number and location of cluster head. The Fuzzy c-Means (FCM) clustering algorithm that uses X-axis and Y-axis coordinates of spatially distributed sensor nodes to form clusters is used in study. A random deployment of 100 nodes in 100 × 100 m² area is considered here. The optimal number of cluster heads (CHs) so determined is also compared with those obtained by analytical method. The life time analysis in terms of first node dead is also presented in optimally clustered network.

Experimental Investigation of Vibration Assisted Cylindrical–Magnetic Abrasive Finishing of Aluminum Workpiece

Abstract: Machining by abrasion is the most labor intensive and critical machining process to provide high quality finish on the parts. Abrasive finishing operations are usually applied as the last machining operation and its importance becomes more vital when the workpiece material is difficult-to-machine. Recently the promising processes of abrasion for difficult-to-machine materials have been developed. Magnetic abrasive finishing (MAF) is such process which utilizes the magnetic energy for finishing. During MAF, the workpiece is set between the two magnetic poles, and the working area between the workpiece and each pole is filled with the mixture of ferromagnetic particle and abrasives. The process has the wide variety of industrial application due to low specific energy consumptions. This work reports about the development of new vibration assisted cylindrical–magnetic abrasive finishing (VAC–MAF) setup and the experimental investigation of various process parameters viz. frequency of vibration, rotational spe...