Shell Implementation of Neural Net Over The UNIX Environment for File Management: A Step towards Automated Operating System

Authors

  • Ankush Rai Department of Applied Science, CRIAD Laboratories, Smriti Nagar, Bhilai, Durg, Chhattisgarh, India

DOI:

https://doi.org/10.37591/joosdt.v1i2.169

Abstract

IT administrators goes through darn process of installing and managing operating systems (OS) with several patches on multiple servers by scripting which is achieved mostly for the deployment operations. Automating OS process like installation activities, configuration of hardware-settings, Indexing files, Sorting and managing other deliverables is what we present in this study with the help of scripting a neural net.

Keywords: Automated Operating System, Shell Scripting, Neural Net

Author Biography

  • Ankush Rai, Department of Applied Science, CRIAD Laboratories, Smriti Nagar, Bhilai, Durg, Chhattisgarh, India

    Hi, I am Ankush Rai currently involved into extensive Research in Interdisciplinary fields to
    integrate Computer Science, Neurobiology & Computational Anthropology into one fabric of
    "Autonomous Data Processors". Additionally I've 3 years of consultancy experience in
    software development. Assessing throughput of technological problems and building
    comprehensive solution with applicability is my driving force.

    Educational Qualification:
    PhD : Computer Science
    University- CSVTU
    Thesis Title : Mathematical Proof of P=NP : A Major Step in Theoretical Computer Science
    Characteristics: Heuristic, Pragmatic & Polymath
    Area of Expertise: Artificial Intelligence, Mathematical Modelling, Computation & Data
    Modelling, Computer Simulation, Computer Network &
    Multidisciplinary approach for research design and conduct.
    Postdoctoral Fellow: MIT (Massachusetts Institute of Technology, Boston, USA) for 2
    years.

    Hobbies: Graphite Sketching, writing-poetry, playing piano, contemplating & admiring talents of others.

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Published

2016-01-08

Issue

Vol. 1 No. 2 (2014)

Section

Research Articles

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