Systems and Information Sciences: Proceedings of ICCIS 2020

Preface
Organization
General Chair
Honor Committee
Organizing Committee
Steering Committee
Publication Chair
Program Committee
Organizing Institutions
Collaborators
Contents
AI, Expert Systems and Big Data Analytics
Bringing Machine Learning Predictive Models Based on Machine Learning Closer to Non-technical Users
1 Introduction
2 Related Works
3 Methodology
3.1 Learning Algorithms Used
3.2 Technologies Used
4 Proposal
4.1 STAGE 1: Dataset Selection for the Learning Model
4.2 STAGE 2: Training of the Learning Model
4.3 STAGE 3: Testing of the Learning Model
5 Results
6 Discussion
7 Conclusions and Future Works
References
Aphids Detection on Lemons Leaf Image Using Convolutional Neural Networks
1 Introduction
2 Materials and Methods
2.1 Classification Problems
2.2 Dataset
2.3 Proposed CNN Approach
2.4 Performance Evaluation
3 Results and Discussion
3.1 Implementation Details
3.2 Preprocessing
3.3 Results
3.4 Discussion
4 Conclusions
References
Prediction of Monthly Electricity Consumption by Cantons in Ecuador Through Neural Networks: A Case Study
1 Introduction
2 Materials and Methods
2.1 Data Acquisition
2.2 Feature Selection
2.3 Database Normalization
2.4 Data Analysis Scheme
2.5 Neural Network Training
3 Results
3.1 Feature Selection
3.2 Neural Network
4 Conclusions and Future Work
References
Using Multivariate Time Series Data via Long-Short Term Memory Network for Temperature Forecasting
1 Introduction
2 Related Work
3 Proposed Approach
3.1 Dataset
3.2 Network Architecture
4 Experimental Results
4.1 Results
5 Conclusion
References
Failure Detection in Induction Motors Using Non-supervised Machine Learning Algorithms
1 Introduction
2 Materials and Methods
2.1 Failures in Induction Motors
2.2 Fault Detection in Induction Motors
2.3 Non-supervised Training Algorithms
3 Testbed and Configurations
3.1 Data Acquisition
3.2 Feature Extraction
4 Main Results
4.1 Neural Network
4.2 k-means
4.3 SOM
5 Conclusions
References
Physical Activity Classification Using an Artificial Neural Networks Based on the Analysis of Anthropometric Measurements
1 Introduction
2 Method
2.1 Dataset
2.2 Machine Learning Models
2.3 Classification Evaluation Metrics
2.4 Experimental Setup
3 Results
4 Discussion
5 Conclusion
References
Analysis of Receiver Operating Characteristic Curve Using Anthropometric Measurements for Obesity Diagnosis
1 Introduction
2 Methodology
2.1 Database
2.2 Performance Measurements
2.3 Statistical Analysis
3 Results
4 Discussion
5 Conclusions
References
Using Low-Frequency EEG Signals to Classify Movement Stages in Grab-and-Lift Tasks
1 Introduction
2 Materials and Methods
2.1 Database
2.2 Analysis of EEG Signals
2.3 Classification Algorithm
3 Results
3.1 Similarity Analysis
3.2 Classification Using Discrete Wavelet Transform
3.3 Classification Using Empirical Mode Decomposition
3.4 Classification Using a Single Classifier
4 Discussion
5 Conclusions
References
Fuzzy Control of Temperature on SACI Based on the Emotion Recognition
1 Introduction
2 Thermal Comfort at SACI
2.1 Importance of Thermal Comfort
2.2 Factors that Influence Thermal Comfort
3 Impact of Emotions on Temperature Bodily
4 Control Loop Proposal
4.1 Importance of Thermal Comfort
4.2 Control Proposal
5 Results
6 Discussion
7 Conclusions
References
Implementation of Recognition System of People and Computers in a Classroom Through Artificial Vision
1 Introduction
2 State of Art
2.1 Current Identification Techniques
2.2 Detection and Identification Methods of People and Objects Using Artificial
3 Methodology
3.1 Convolutional Neural Networks [4]
3.2 Network Implemented (YOLO) [4, 5]
3.3 Hardware Development
3.4 Software Development
4 Results
4.1 Test Performed with Images Downloaded from the Internet
4.2 Results Review
4.3 Tests Carried Out in Different Classrooms of the National Polytechnic School
4.4 Results Review
5 Conclusions
References
Development of an Algorithm Capable of Classifying the Starting, Gear Change and Engine Brake Variables of a Vehicle by Analyzing OBD II Signals
1 Introduction
2 State of Art
3 Materials and Methods
3.1 Methodology
3.2 Data Acquisition Through OBD II by Means of Data Logger Device
4 Development
4.1 Application of the K-Means Classification Method Applied to the Velocity Diagram
4.2 Vehicle Starting Study from Absolute Rest.
5 Discussions
5.1 Application of the Algorithm by Changing Input Variables for Adaptability Validation in Different Vehicles
6 Conclusions and Futures Works
References
Characterization of Braking and Clutching Events of a Vehicle Through OBD II Signals
1 Introduction
2 Lirerature Review
3 Materials and Methods
3.1 Methodology
3.2 Data Acquisition Through OBD II by Means of Data Logger Device
4 Development
4.1 Braking and Clutching Process
5 Results
5.1 Braking Process
5.2 Clutch Process
6 Conclusions and Futures Works
References
PESTEL Analysis as a Baseline to Support Decision-Making in the Local Textile Industry
1 Introduction
2 Methods
3 Results
3.1 Political Scope
3.2 Economic Scope
3.3 Social Scope
3.4 Technological Scope
3.5 Environmental Scope
3.6 Legal Scope
4 Conclusions
Appendix A - List of References on ICT Levels of Use
References
Occupational Health and Safety for Decision-Making in the Framework of Corporate Social Responsibility: Models, Guidelines, and Indicators
1 Introduction
2 Methodology
3 Results and Discussion
3.1 Metadata Analysis
3.2 Content Analysis
4 Conclusions
Appendix A – Full List of References Read in the Literature Review
Appendix B – List of Codes Utilized in the Literature Review
References
Model of Classification of University Services Using the Polarity of Opinions Taken from Social Networks
1 Introduction
2 State of the Art
3 Methodology
4 Analysis of Results
5 Conclusions
References
Clustering Analysis of Electricity Consumption of Municipalities in the Province of Pichincha-Ecuador Using the K-Means Algorithm
1 Introducción
2 Related Works
3 Materials and Methods
3.1 Data Acquisition
3.2 Database Normalization
3.3 Clustering
3.4 Data Analysis Scheme
4 Results
5 Conclusions and Future Works
References
Behavioral Signal Processing with Machine Learning Based on FPGA
1 Introduction
2 Related Works
3 Dataset
4 Methodology
5 Results
6 Discussion and Conclusions
References
Complementary Admission Processes Implemented by Ecuadorian Public Universities Promote Equal Opportunities in Access: An Analysis Through Knowledge Discovery in Databases
1 Introduction
2 Admission Process at Universities and Polytechnic Schools
3 Socioeconomic Situation and Poverty Quintiles
4 Affirmative Action Policies Related to the Access to Higher Education
5 Knowledge Discovery in Databases
6 Educational Data Mining
6.1 EDM Prediction Techniques - Bayesian Networks
7 Business Intelligence
8 Case Study Results
9 Conclusions
References
Cloud, IoT and Distributed Computing
LOLY 1.0: A Proposed Human-Robot-Game Platform Architecture for the Engagement of Children with Autism in the Learning Process
1 Introduction
1.1 State of Art
2 Human-Robot-Game Architecture
2.1 The Robot
2.2 The Educational Games
2.3 The Cloud Services
3 Human-Robot-Game Architecture Testing
3.1 Technical Tests
3.2 Proofs of Concept
4 Lessons Learned
5 Conclusion and Future Work
References
Alternative Psychological Treatment for Patients with a Diagnosis of Entomophobia with Virtual Reality Environments
1 Introduction
2 State of the Art
2.1 Phobias
2.2 Phobias Treatment
2.3 Virtual Reality
3 Implementation
4 Discussion
5 Future Research
6 Conclusions
References
Designing a Lighting System for Smart Homes
1 Introduction
2 System Architecture
3 System Description
3.1 Central Processing Unit (CPU)
3.2 Keypad
3.3 Dimmer
3.4 Wallbox Dimmer Module
3.5 Contact Closure Input Interface
3.6 Contact Closure Output Interface
3.7 Lighting Software
4 System Evaluation
4.1 Functioning Tests of the Dimmer
5 Conclusions
References
Communications
Green Energy for the Reception and Processing of Satellite and Microwave Signals
1 Introduction
2 Headend
3 Headend Functions
4 Operating Scenarios
5 Simulations of the Hybrid System
5.1 Wind Turbine
5.2 Photovoltaic PV System
6 Results and Discussions
7 Conclusions
References
Network Design Defined by Software on a Hyper-converged Infrastructure. Case Study: Northern Technical University FICA Data Center
1 Introduction
2 Methodology
2.1 Test Scenarios
3 Results
4 Conclusions
References
Study of the Fronthaul WDM Applied to the Cloud RAN of 5G-CRAN
1 Introduction
2 State of the Art
2.1 Structure of the CRAN System
2.2 Fronthaul Cran Transport Technologies
3 Methodology
3.1 Design Considerations
3.2 Network Performance
3.3 Redundancy of the Network
3.4 Supervision and Control
3.5 Energy Efficiency
4 Conclusions
References
Evaluation of the Broadcast Storm Problem Based on Hybrid Retransmissions Algorithms in FANET Networks
1 Introduction
2 Background
2.1 Broadcast Storm Problem
2.2 Basic Packet Retransmissions Schemes
3 Hybrid Algorithms to Rebroadcast
3.1 Probability Plus Counter
3.2 Probability Plus Distance
4 Scenarios and Methods
4.1 Scenarios
4.2 Metrics
5 Results
5.1 Basic Schemes
5.2 Hybrid Schemes
5.3 Power Consumption
6 Conclusion
References
Database System and Application
Proposal of a Framework for Information Migration from Legacy Applications in Solidarity Financial Sector Entities
1 Introduction
2 Methodology
2.1 Detail of Experiment Environment
2.2 Framework Definition
3 Results
4 Discussion
5 Conclusions
References
Financial Technologies (FinTech), Economics and Business Engineering
Path Planning for Mobile Robots Applied in the Distribution of Materials in an Industrial Environment
1 Introduction
2 Coordinate System
2.1 Description
3 Model and Control of Mobile Robots
3.1 Description
3.2 Dinámic Model
3.3 Controller
4 Path Planning
4.1 RRT Algorithm
4.2 RRT Algorithm Modified
4.3 Creation of Paths
5 Simulated Results
6 Conclusions
References
General Track
Towards Industry Improvement in Manufacturing with DMAIC
1 Introduction
2 Background
3 Case Study and Methodology
3.1 Case Study
4 Methodology
5 Results and Discussion
6 Conclusions and Future Work
References
An Application of MVMO Based Adaptive PID Controller for Process with Variable Delay
1 Introduction
2 Basic Concept
2.1 PID Controller
2.2 Adaptive Control
3 Optimization Algorithms
3.1 Optimization Techniques
3.2 Methodology and Optimization Techniques for First Order Plus Dead Time Systems
4 Adaptive Control Scheme Proposed Approach
4.1 PI Tuning by Using MVMO
4.2 Adaptive Scheme
5 Simulation Results
5.1 Proposed Case Study
5.2 Proposed Control Scheme
5.3 System Response for Disturbances Test
5.4 Analysis of Results
6 Conclusions
References
PID and Sliding Mode Control for a Reactor-Separator-Recycler System: A Regulatory Controllers' Comparison
1 Introduction
2 Control Fundamentals
2.1 Approach to Reduced Order Systems
2.2 Proportional-Integral-Derivative Controllers
2.3 Controller Tuning
2.4 Sliding Mode Control
2.5 Regulatory Control
3 Reactor-Separator- Recycler (RSR) System
4 Regulatory Control Design
4.1 Classic Controller (PID)
4.2 Robust Controller (SMC)
5 Results
6 Conclusions
References
YaniWawa: An Innovative Tool for Teaching Using Programmable Models over Augmented Reality Sandbox
1 Introduction
2 Materials and Methods
2.1 Learning Process
2.2 Structure
2.3 Software
3 Results
3.1 Game Description
3.2 Study Description
3.3 Measurements
4 Discussion
5 Conclusions and Future Work
References
m-Learning and e-Learning
Google Classroom as a Blended Learning and M-learning Strategy for Training Representatives of the Student Federation of the Salesian Polytechnic University (Guayaquil, Ecuador)
1 Introduction
2 Materials and Methods
3 Results and Discussion
4 Conclusions
References
Introducing Gamification to Improve the Evaluation Process of Programing Courses at the Salesian Polytechnic University (Guayaquil, Ecuador)
1 Introduction
2 Materials and Methods
3 Results
4 Discussion
5 Conclusions
References
Security
Technique for Information Security Based on Controls Established by the SysAdmin Audit, Networking and Security Institute
1 Introduction
2 Proposal
3 Implementation
3.1 Implementation: Controls 8 and 12
4 Results
5 Conclusions
References
Software Engineering
Maintainability and Portability Evaluation of the React Native Framework Applying the ISO/IEC 25010
1 Introduction
2 Methodology
2.1 Description of the Study Case
2.2 Evaluation Matrix Based on ISO/IEC 25010
3 Results
3.1 Weighted Results on a Scale of 0 to 1
4 Discussion of Results
5 Conclusions
References
Web Information Systems and Applications
A Comprehensive Solution for Electrical Energy Demand Prediction Based on Auto-Regressive Models
1 Introduction
2 Methodology
3 State of the Art
3.1 Demand Prediction Models
3.2 Data Clustering
3.3 Data Analysis
3.4 Software Development Methodologies
4 Design and Development Methodology
4.1 Data Collection
4.2 Transformation
4.3 Data Analysis
4.4 Data Prediction
4.5 Data Presentation
5 Results
6 Conclusions
References
Construction and Leverage Scientific Knowledge Graphs by Means of Semantic Technologies
1 Introduction
2 Publishing Scholarly Production as Knowledge Graphs
2.1 Technologies for Semantic Description
2.2 Scientific Knowledge Graphs
2.3 Related Works
3 Construction of SKGs Based on Metadata
3.1 Process of Construction
3.2 UG-SKG Construction
4 Leveraging Knowledge from the UG-SKG
4.1 What Type of Document Is Published by UG Researchers and What Is Its Impact According to the Source Where They Publish?
4.2 What Are the Most Popular Publication Sources and What Is Their Impact Factor Quartile?
4.3 Who Are the Researchers Working in the Disciplines of a Specific Area and What Is Their Production?
4.4 What Are the Main Interests of the UG Researchers?
References
Author Index