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Book Synopsis
This volume includes nine chapters that describe recent advancements in engineering research. Chapter One proposes an automatic data acquisition system using a low-cost camera for optical character recognition in industrial applications. Chapter Two describes the basic concepts and advanced techniques of Forster Resonance Energy Transfer. Chapter Three examines Hidden Markov Models and their properties. Chapter Four deals with identifying file types using file header signatures and file extensions in the context of computer forensics. Chapter Five analyzes the experience of implementing the Kanban system for inventory management at an automotive component company. Chapter Six provides an overview of online learning in engineering education. Chapter Seven examines tire servicing operations at a firm that maintains public service vehicles. Chapter Eight proposes an algorithm for mining actionable patterns from datasets. Lastly, Chapter Nine explains an energy-efficient home automation system using Li-Fi.

Advances in Engineering Research. Volume 49

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A Hardback by Victoria M Petrova

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    View other formats and editions of Advances in Engineering Research. Volume 49 by Victoria M Petrova

    Publisher: Nova Science Publishers Inc
    Publication Date: 01/09/2022
    ISBN13: 9798886971323, 979-8886971323
    ISBN10: 9798886971323
    Also in:
    Engineering: general

    Description

    Book Synopsis
    This volume includes nine chapters that describe recent advancements in engineering research. Chapter One proposes an automatic data acquisition system using a low-cost camera for optical character recognition in industrial applications. Chapter Two describes the basic concepts and advanced techniques of Forster Resonance Energy Transfer. Chapter Three examines Hidden Markov Models and their properties. Chapter Four deals with identifying file types using file header signatures and file extensions in the context of computer forensics. Chapter Five analyzes the experience of implementing the Kanban system for inventory management at an automotive component company. Chapter Six provides an overview of online learning in engineering education. Chapter Seven examines tire servicing operations at a firm that maintains public service vehicles. Chapter Eight proposes an algorithm for mining actionable patterns from datasets. Lastly, Chapter Nine explains an energy-efficient home automation system using Li-Fi.

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