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Green IT Engineering: Components, Networks and Systems Implementation

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Cover of 'Green IT Engineering: Components, Networks and Systems Implementation'

Table of Contents

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    Book Overview
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    Chapter 1 Vedic Mathematics as Fast Algorithms in Green Computing for Internet of Things
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    Chapter 2 Technologies for Greener Internet of Things Systems
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    Chapter 3 Secure, Green Implementation of Modular Arithmetic Operations for IoT and Cloud Applications
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    Chapter 4 Green Cyber-Physical Computing as Sustainable Development Model
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    Chapter 5 Data Acquisition for Environmental and Humanitarian Crisis Management
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    Chapter 6 Influence of Software Optimization on Energy Consumption of Embedded Systems
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    Chapter 7 Energy Efficiency of 4th Gen Intel® Core™ Processor Versus 3rd Gen Intel® Core™ Processor
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    Chapter 8 Malicious Software Effect on the Mobile Devices Power Consumption
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    Chapter 9 Rational Intellectualization of the Aircraft Control: Resources-Saving Safety Improvement
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    Chapter 10 Resource and Energy Optimization Oriented Development of FPGA-Based Adaptive Logical Networks for Classification Problem
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    Chapter 11 Green Experiments with FPGA
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    Chapter 12 Green Logic: Green LUT FPGA Concepts, Models and Evaluations
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    Chapter 13 The Concept of Virtual Manufacturing Enterprise Operation as a Green Complex System
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    Chapter 14 Green-IT Approach to Design and Optimization of Thermoacoustic Waste Heat Utilization Plant Based on Soft Computing
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    Chapter 15 Resource-Oriented Approaches to Implementation of Traffic Control Technologies in Safety-Critical I&C Systems
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    Chapter 16 Markov Models of Smart Grid Digital Substations Availability: Multi-level Degradation and Recovery of Power Resources Issues
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Citations

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Title
Green IT Engineering: Components, Networks and Systems Implementation
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-55595-9
ISBNs
978-3-31-955594-2, 978-3-31-955595-9
Editors

Vyacheslav Kharchenko, Yuriy Kondratenko, Janusz Kacprzyk

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 43%
Student > Doctoral Student 1 14%
Lecturer 1 14%
Student > Ph. D. Student 1 14%
Student > Bachelor 1 14%
Other 0 0%
Readers by discipline Count As %
Computer Science 3 43%
Energy 1 14%
Medicine and Dentistry 1 14%
Engineering 1 14%
Unknown 1 14%