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.

Review on remote sensing methods for landslide detection using machine and deep learning

Abstract: Landslide, one of the most critical natural hazards, is caused due to specific compositional slope movement In the past decades, due to inflation of urbanized area and climate change, a c

Alcohol-sensing characteristics of spray deposited ZnO nano-particle thin films

Abstract: ZnO nano-particle thin films were deposited on cleaned glass substrates by spray pyrolysis technique using the precursor solution of zinc acetate dihydrate [Zn(CH 3 COO) 2 ·2H 2 O] Structural analyses and surface morphology of the resulting films were carried out by X-ray diffraction (XRD) and scanning electron microscopy (SEM) XRD analyses confirm that the films are polycrystalline zinc oxide, possessing hexagonal wurtzite structure with crystallite size ∼25 nm The SEM micrograph of the film shows a good uniformity and a dense surface having spherical-shaped grains Alcohol sensing characteristics of the deposited films have been investigated for various concentrations of methanol, ethanol and propan-2-ol in air at different operating temperatures At 150 ppm concentration, the film shows maximum response (852%) to propan-2-ol at the operating temperature of 250 °C; whereas at the same concentration 150 ppm, the maximum responses to methanol and ethanol at 300 °C are observed to be 758% and 524%, respectively Also, the film exhibits selective high response to propan-2-ol, followed by ethanol and methanol, respectively at each operating temperature up to 275 °C This selectivity is more pronounced in the region of lower operating temperatures and concentrations A possible reaction mechanism of alcohol sensing has been proposed

Correction: One step in situ synthesis of CeO2 nanoparticles grown on reduced graphene oxide as an excellent fluorescent and photocatalyst material under sunlight irradiation.

Abstract: CeO2 nanoparticles (NPs) with average particle size of ∼17 nm were grown on graphene sheets by simply mixing cerium chloride as the Ce precursor with graphene oxide (GO) in distilled water and the simultaneous reduction of GO to reduced graphene oxide (rGO), followed by a one-step hydrothermal treatment at 150 °C. A unique blue to green tuneable luminescence was observed as a function of the excitation wavelength. With this method, significant applications of rGO-CeO2 nanocomposites in many optical devices could be realized. The photocatalytic activity of the as-synthesized CeO2 and rGO-CeO2 nanocomposite was investigated by monitoring the degradation of methylene blue (MB) dye under direct sunlight irradiation. The rGO-CeO2 nanocomposite exhibited excellent photocatalytic activity compared to CeO2 NPs by degrading 90% of the MB dye in 10 min irradiation under sunlight. This property of rGO-CeO2 nanocomposites was ascribed to the significant suppression of the recombination rate of photo-generated electron-hole pairs due to charge transfer between rGO sheets and CeO2 NPs and the smaller optical band-gap in the rGO-CeO2 nanocomposite.

FogGIS: Fog Computing for geospatial big data analytics

Abstract: Cloud Geographic Information Systems (GIS) has emerged as a tool for analysis, processing and transmission of geospatial data. The Fog computing is a paradigm where Fog devices help to increase throughput and reduce latency at the edge of the client. This paper developed a Fog Computing based framework named FogGIS for mining analytics from geospatial data. It has been built a prototype using Intel Edison, an embedded microprocessor. FogGIS has validated by doing preliminary analysis including compression and overlay analysis. Results showed that Fog Computing hold a great promise for analysis of geospatial data. Several open source compression techniques have been used for reducing the transmission to the cloud.

A review on energy efficient protocols in wireless sensor networks

Abstract: In past decade, wireless sensor networks have gained attention by researchers, manufacturers as well as the users for remotely monitoring tasks and effective data gathering in diverse environment. The wireless sensor nodes are tiny battery powered devices having limited lifetime, hence for longevity and reliability, the foremost concern is minimizing energy consumption and maximizing network lifetime while designing protocols and applications. In this paper, we review the main design issues based on the model of wireless sensor networks: structure-free and structured for data collection and aggregation where role of clustering and routing is discussed for energy conservation and enhancing network lifetime. These design strategies are the foundation of any networking protocol from the energy saving point of view. A comprehensive tabular overview of different approaches under structure-free and structured wireless sensor networks for data collection and aggregation, clustering and routing is presented with key issues.