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I+D for Smart Cities and Industry

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Cover of 'I+D for Smart Cities and Industry'

Table of Contents

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    Book Overview
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    Chapter 1 Identification of a MIMO Twin Rotor System Using an Artificial Neural Network Trained by PSO
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    Chapter 2 On-line Monitoring Application for Apparel Manufacturing Purposes: A Low-Cost IoT Approach
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    Chapter 3 Learning Model Predictive Control in a Virtual Environment Through a Practical Case: A Continuous Stirred Tank Reactor
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    Chapter 4 Implementation of a Sliding Mode Control in a Brushless DC Motor for the Emulation of a Robust Control in an Electric Bicycle
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    Chapter 5 CFD Evaluation of an Adaptable Protective Cabinet for Patients with Infectious-Contagious Diseases
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    Chapter 6 Electronic Device Designed for Object Recognize and Navigation Assistant by Artificial Vision for People with Visual Impairment
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    Chapter 7 Optimization of a Mobile Audio and Video System Powered by a Bicycle Dynamo
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    Chapter 8 Evaluation of Data Acquisition System for PES Membranes Permeability Analysis in Water Treatment
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    Chapter 9 Design and Implementation of a Three-Phase Analyzer in a Free Software Platform for Power Quality Measurement at Industrial Activities
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    Chapter 10 Electrical Consumption Optimization Based on Clustering of Consumers’ Data Applying K-Means Algorithm
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    Chapter 11 Reliability of Wind and Solar Energy in the Electric Generation System Using Computational Methods
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    Chapter 12 Optimal Capacitor Placement and Sizing in Radial Distribution Networks, Using Modified IGHS
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    Chapter 13 Photovoltaic Generation Potential for Vehicles with Solar Panels
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    Chapter 14 Evaluation of Capacity Curves in Generators, Transformers, and Transmission Lines for the Analysis of Permanent Stability in Electric Power Systems
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    Chapter 15 Changes of Land Use and Land Cover in Hotspots Within the Western Amazon: The Case of the Yasuní Biosphere Reserve
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    Chapter 16 Virtual Learning Object Based on a Virtual Laboratory for Microcontroller Practices
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    Chapter 17 Diagnostic Value of Knee Osteoarthritis Through Self-learning
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    Chapter 18 Interactive Software for the Learning of Mathematics in Elementary School Students in the Province of Tungurahua
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    Chapter 19 ICT and Interactive Multimedia in Teaching 3D Sculpting Design
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    Chapter 20 Management Tools for Process Mapping and Modeling in Assembly Industry
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    Chapter 21 Motivation and Job Performance: Human Capital as a Key Factor for Organizational Success
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    Chapter 22 Assessing the Needs of an Innovation Resource to Promote the Touristic Sector of a Small Andean City. Riobamba, Ecuador
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    Chapter 23 Intruder Detection System Based Artificial Neural Network for Software Defined Network
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    Chapter 24 Irrigation Control System Using Machine Learning Techniques Applied to Precision Agriculture (Internet of Farm Things IoFT)
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    Chapter 25 ARTANDIC: A Solution to Encourage the Purchase of Handicrafts in Ecuador
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    Chapter 26 MOOCs for Teaching in Times of COVID-19
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    Chapter 27 Semantic Web Based on Ontology to Measure the Control of Promotion Indicators of Ecuadorian Universities
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    Chapter 28 Sensitivity Analysis to the Evidence in Bayesian Networks to Analyze the Elements of Humanized Childbirth Care
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Title
I+D for Smart Cities and Industry
Published by
Springer International Publishing, August 2022
DOI 10.1007/978-3-031-11295-9
ISBNs
978-3-03-111294-2, 978-3-03-111295-9
Editors

Zambrano Vizuete, Marcelo, Botto-Tobar, Miguel, Diaz Cadena, Angela, Zambrano Vizuete, Ana

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