33 research outputs found

    HOMOGENEOUS MULTI-INTERFACE MOBILE NODE SUPPORT IN NS2

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    NS2 is a widely used, open source tool for network simulation. A Mobile Node (MN) in NS2 by default provides only a single Wi-Fi interface. It makes difficult for users to simulate the scenario where a mobile node is connected to multiple networks through different interfaces at the same time. Some projects have been done to implement multiple Wi-Fi interfaces but according to our view they have some limitations. This paper presents the implementation of mobile nodes in NS2 with multiple Wi-Fi interfaces and multiple WiMAX interfaces trying to overcome those limitations

    Metal oxides and its blended derivative’s coating for anti-corrosion application

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    9-17Thin film deposition by using different nanomaterials has been an efficient and reliable way for enhancing the anti-corrosive property of the materials as well as strength improvement such as hardness, conductivity and wear resistance. Various materials have been taken as substrates like mild steel, magnesium, Aluminum, Copper, Tin, Carbon steel with thin film coatings of Zn–TiO2, Ce/Co, Zn-HA/TiO2, CrN/TiN, Ni- Co have been sampled. These specimens have been studied for numerous properties like surface roughness, wear resistance, adhesion strength, microhardness, hydrophobicity etc. It has been found that the components like muffler, differential, engine chassis, exhaust system, gears do undergo corrosion due to several factors like climate change, oxidation, moisture content etc. The aim of the review has been to highlight the advances in the coatings providing anticorrosive properties to various metallic substrates used specially for mechanical and automobile industries

    Effect of Conductive Filament Temperature on ZrO2 based Resistive Random Access Memory Devices

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    In the present work, the effect of reset voltage, filament radius, filament resistivity, and oxide membrane thickness on the nanoscale ZrO2 RRAM devices was reported. The present investigation is based on the thermal reaction model of RRAM. The outcomes show a decline in saturated temperature with a rise in the radius and resistivity of filament. Furthermore, increases in saturated temperature with an increase in oxide membrane thickness were observed for the ZrO2 based RRAM device. The saturated temperature of the device was mainly influenced by reset voltage, oxide layer thickness, filament size, and filament resistivity. The simulation results of the present investigation can be beneficial for the optimization of RRAM devices

    Recent advances in hydrothermal carbonisation:from tailored carbon materials and biochemicals to applications and bioenergy

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    Introduced in the literature in 1913 by Bergius, who at the time was studying biomass coalification, hydrothermal carbonisation, as many other technologies based on renewables, was forgotten during the "industrial revolution". It was rediscovered back in 2005, on the one hand, to follow the trend set by Bergius of biomass to coal conversion for decentralised energy generation, and on the other hand as a novel green method to prepare advanced carbon materials and chemicals from biomass in water, at mild temperature, for energy storage and conversion and environmental protection. In this review, we will present an overview on the latest trends in hydrothermal carbonisation including biomass to bioenergy conversion, upgrading of hydrothermal carbons to fuels over heterogeneous catalysts, advanced carbon materials and their applications in batteries, electrocatalysis and heterogeneous catalysis and finally an analysis of the chemicals in the liquid phase as well as a new family of fluorescent nanomaterials formed at the interface between the liquid and solid phases, known as hydrothermal carbon nanodots

    BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

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    Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to widespread adoption, most LLMs are developed by resource-rich organizations and are frequently kept from the public. As a step towards democratizing this powerful technology, we present BLOOM, a 176B-parameter open-access language model designed and built thanks to a collaboration of hundreds of researchers. BLOOM is a decoder-only Transformer language model that was trained on the ROOTS corpus, a dataset comprising hundreds of sources in 46 natural and 13 programming languages (59 in total). We find that BLOOM achieves competitive performance on a wide variety of benchmarks, with stronger results after undergoing multitask prompted finetuning. To facilitate future research and applications using LLMs, we publicly release our models and code under the Responsible AI License

    Proceedings of National Conference on Relevance of Engineering and Science for Environment and Society

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    This conference proceedings contains articles on the various research ideas of the academic community and practitioners presented at the National Conference on Relevance of Engineering and Science for Environment and Society (R{ES}2 2021). R{ES}2 2021 was organized by Shri Pandurang Pratishthan’s, Karmayogi Engineering College, Shelve, Pandharpur, India on July 25th, 2021. Conference Title: National Conference on Relevance of Engineering and Science for Environment and SocietyConference Acronym: R{ES}2 2021Conference Date: 25 July 2021Conference Location: Online (Virtual Mode)Conference Organizers: Shri Pandurang Pratishthan’s, Karmayogi Engineering College, Shelve, Pandharpur, India
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