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Technological Innovation for Industry and Service Systems

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Cover of 'Technological Innovation for Industry and Service Systems'

Table of Contents

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    Book Overview
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    Chapter 1 A Model to Assess Collaboration Performance in a Collaborative Business Ecosystem
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    Chapter 2 Organizational Structure for Mass Collaboration and Learning
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    Chapter 3 Emerging Community Energy Ecosystems: Analysis of Organizational and Governance Structures of Selected Representative Cases
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    Chapter 4 Novel Approaches to Handle Disruptions in Business Ecosystems
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    Chapter 5 Proposing a Risk Management Model in Construction of Combined-Cycle Power Plant Projects
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    Chapter 6 voteChain: Community Based Scalable Internet Voting Framework
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    Chapter 7 UAV Downwash-Based Terrain Classification Using Wiener-Khinchin and EMD Filters
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    Chapter 8 A Markov Process-Based Approach for Reliability Evaluation of the Propulsion System in Multi-rotor Drones
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    Chapter 9 A New Approach for Crop Rotation Problem in Farming 4.0
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    Chapter 10 Application of Monte Carlo Methods in Probability-Based Dynamic Line Rating Models
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    Chapter 11 Theory of Constraints Thinking Processes on Operational Lean Programs Management Improvement: An Energy Producer Company Case
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    Chapter 12 Dynamic Search Tree Growth Algorithm for Global Optimization
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    Chapter 13 Intelligent HCI Device for Assistive Technology
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    Chapter 14 Real-Time Human Body Pose Estimation for In-Car Depth Images
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    Chapter 15 Treatment of Ventricular Assist Device Test Bench Data for Prediction of Failures and Improved Intrinsic Reliability
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    Chapter 16 Basis for an Approach to Design Collaborative Cyber-Physical Systems
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    Chapter 17 A Group Evacuation Method for Smart Buildings
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    Chapter 18 Optimized Electrification of Subsea Oil & Gas Infrastructures Based in Genetic Algorithm
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    Chapter 19 Production Scheduling Requirements to Smart Manufacturing
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    Chapter 20 Open Modular Components in the Industry Using vf-OS Components
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    Chapter 21 Big Data on Machine to Machine Integration’s Requirement Analysis Within Industry 4.0
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    Chapter 22 Artificial Neural Networks Application to Support Plant Operation in the Wastewater Industry
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    Chapter 23 Towards a Practical and Cost-Effective Water Monitoring System
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    Chapter 24 Smart Cities: Non Destructive Approach for Water Leakage Detection
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    Chapter 25 Energy Efficient Massive MIMO Point-to-Point Communications with Physical Layer Security: BPSK vs QPSK Decomposition
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    Chapter 26 V-GRADIENT: A Density-Aware Geocast Routing Protocol for Vehicular Delay-Tolerant Networks
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    Chapter 27 Simulation of an Early Warning Fire System
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    Chapter 28 Integration of Renewable Energy in Markets: Analysis of Key European and American Electricity Markets
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    Chapter 29 A New Approach to Provide Sustainable Solutions for Residential Sector
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    Chapter 30 Electric Vehicles Aggregation in Market Environment: A Stochastic Grid-to-Vehicle and Vehicle-to-Grid Management
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    Chapter 31 Integrated System for Traction and Battery Charging of Electric Vehicles with Universal Interface to the Power Grid
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    Chapter 32 Auxiliary Digital Control Unit for Capacitor Banks
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    Chapter 33 Modeling and Simulation of PV Panel Under Different Internal and Environmental Conditions with Non-constant Load
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    Chapter 34 Effect of Combined Stresses on the Electrical Properties of Low Voltage Nuclear Power Plant Cables
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    Chapter 35 Thermal Degradation and Condition Monitoring of Low Voltage Power Cables in Nuclear Power Industry
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    Chapter 36 Novel Design of the Converter for an Active UPS Application Based on Marx Modulator Concept with Supercapacitors
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    Chapter 37 Correction to: Integration of Renewable Energy in Markets: Analysis of Key European and American Electricity Markets
Overall attention for this book and its chapters
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Mentioned by

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Citations

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6 Dimensions

Readers on

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23 Mendeley
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Title
Technological Innovation for Industry and Service Systems
Published by
Springer International Publishing, July 2019
DOI 10.1007/978-3-030-17771-3
ISBNs
978-3-03-017770-6, 978-3-03-017771-3
Editors

Camarinha-Matos, Luis M., Almeida, Ricardo, Oliveira, José

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 43%
Student > Bachelor 4 17%
Student > Postgraduate 2 9%
Student > Master 2 9%
Lecturer 1 4%
Other 2 9%
Unknown 2 9%
Readers by discipline Count As %
Engineering 7 30%
Computer Science 6 26%
Business, Management and Accounting 2 9%
Energy 1 4%
Economics, Econometrics and Finance 1 4%
Other 2 9%
Unknown 4 17%