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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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      Book details

      Publisher Nova Science Publishers Inc
      Published 1 September 2022
      ISBN-13 9798886971323
      979-8886971323
      ISBN-10 9798886971323
      Also in:
      Technology, Engineering & Agriculture 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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