Information and Communication Technologies: 10th Ecuadorian Conference, TICEC 2022, Manta, Ecuador, October 12–14, 2022, Proceedings (Communications in Computer and Information Science)

✍ Scribed by Jorge Herrera-Tapia (editor), Germania Rodriguez-Morales (editor), Efraín R. Fonseca C. (editor), Santiago Berrezueta-Guzman (editor)

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 320
• Category: Library

✦ Synopsis

This book constitutes refereed proceedings of the 10th Ecuadorian Conference on Information and Communication Technologies, TICEC 2022, held in Manta, Ecuador, in October 2022.
The 20 full papers were carefully reviewed and selected from 150 qualified submissions. The papers cover a great variety of topics, such as wireless communication, immersive environments, artificial intelligence, data mining, neural networks, augmented reality, cyberphysical systems, telemedicine, cybersecurity, software architecture, data processing, software development, and others.
The contributions are divided into the following thematic blocks: ICT´s Applications; Data Science; Software Development.

✦ Table of Contents

Preface
Organization
Contents
ICT’s Applications
An Online BCI System Based in SSVEPs to Control IoT Devices
1 Introduction
2 State of Art
3 Methodology
4 Development of the Solution
4.1 First Increment
4.2 Second Increment
4.3 Third Increment
4.4 Fourth Increment
4.5 Test of the Integrated Prototype
5 Results and Discussion
5.1 Results
5.2 Discussion
6 Conclusions
References
Collision Avoidance Simulation Using Voronoi Diagrams in a Centralized System of Holonomic Multi-agents
1 Introduction
2 Related Work
2.1 Collision Avoidance
2.2 Voronoi Diagrams
2.3 Multi-agent Navigation
3 Methodology
3.1 Model Proposal
3.2 Two-Dimensional Environment
3.3 Heuristics to Deal with Deadlock
3.4 QP-Based Receding Horizons Control Algorithm
3.5 Analytical Geometrical Algorithm
3.6 Optimal Reciprocal Collision Avoidance Algorithm
3.7 Analysis Method
4 Results and Discussion
4.1 Construction of Voronoi Diagram
4.2 Deadlock
4.3 Evaluation of Algorithms
4.4 Implementation
5 Conclusions
5.1 Future Work
References
Intelligent Electromyograph for Early Detection of Myopathy and Neuropathy Using EMG Signals and Neural Network Model
1 Introduction
2 Materials and Methods
2.1 Obtaining and Process Signal
2.2 Database Creation
2.3 Develop the Predictive Model
2.4 Prediction of Health Status
3 Results
3.1 Obtaining and Process Signal
3.2 Neural Network
3.3 Web Application
4 Discussion
5 Conclusion
References
Underwater Wireless Sensor Networks and Cryptographic Applications
1 Introduction
2 Underwater Wireless Sensor Networks
2.1 Problems Related to UWSNs
3 Motivations
4 Challenges Related to Cryptographic Security
4.1 Security Attacks on UWSNs
4.2 Problems of Cryptographic Primitives
4.3 Cryptographic Algorithms Applied to Secure Protocols
4.4 Discussion
5 Conclusions
References
Design of a Sensor Network for Drinking Water Control in the Maria of Merced Educational Unit
1 Introduction
2 Materials and Methods
2.1 Analysis of the Current Situation at the UEMM
2.2 Proposed WSN Design
2.3 Statistical Method of Results
3 Results and Validation
3.1 Simulation Results
3.2 Statistical Analysis of Data Exported by the OPNET Simulator
3.3 Validation by Normality Testing
4 Conclusions
References
Drinking Water and Sewerage at the Universidad de las Fuerzas Armadas ESPE and Implementation of an Internet of Things Flowmeter
1 Introduction
1.1 University of the Armed Forces
1.2 Drinking-Water and Sewerage
1.3 Flowmeter IoT
1.4 Flowmeter IoT Data Analysis with Recurrence Maps
2 Methodology
2.1 Study Zone
2.2 Implementation of the IoT Flowmeter
2.3 Data Processing
3 Results and Discussions
3.1 Drinking Water, Pressures, and Sewerage with Problems Encountered
3.2 Measurement of the Population of the Universidad de las Fuerzas Armadas ESPE
3.3 Implementation of IoT Flowmeter
3.4 Determination of the Drinking Water Supply at the University
4 Conclusions
References
Indicators to Evaluate Elements of Industry 5.0 in the Textile Production of MSMEs
1 Introduction
2 Related Research
3 Methodology
4 Results and Discussion
4.1 Results of the Systematic Literature Review
4.2 Analysis and Selection of Indicators
5 Conclusions
Appendix A - List of References Considered in the SLR
Appendix B – Set of Indicators and Sheets
References
Technological Accessibility and Digital Health Education Associated with the Use of Smart Healthcare by Obstetricians in Peru
1 Introduction
2 Methodology
2.1 Research Design and Population Under Study
2.2 Variables
2.3 Data Collection Procedure
2.4 Statistical Analysis
2.5 Ethical Considerations
3 Results
4 Discussion
5 Conclusions and Future Steps
5.1 Conclusions
5.2 Future Steps
Appendix
References
Data Science
Adaptation of a Process Mining Methodology to Analyse Learning Strategies in a Synchronous Massive Open Online Course
1 Introduction
2 Related Work
2.1 Analysis of Learning Strategies in MOOCs: Methods and Techniques
2.2 Learning Strategies Across Contexts
2.3 Research Questions
3 Method
3.1 Context: MOOC and Sample
3.2 Procedure
4 Results
4.1 RQ1: To What Extend Can We Replicate (Partially or Totally) the Methodology Applied in the Previous Study by [18] to Extract Learners’ Learning Strategies in a MOOC?
4.2 RQ2: How do Learners’ Learning Strategies in This New Context Differ from Those from the Previous Study?
5 Conclusion and Discussion
5.1 Summary of Results
5.2 Implications
5.3 Limitations
References
Ecuador Agricultural Product Price Forecast: A Comparative Study of Deep Learning Models
1 Introduction
2 Related Works
3 Methodology
3.1 Data Cleaning
3.2 Data Preparation
3.3 Models Preparation
3.4 Training Models
3.5 Models Evaluation
4 Experiments
4.1 Materials
4.2 Experiment 1: Comparison Between Models
4.3 Experiment 2: Best Models with Different Datasets
4.4 Experiment 3: Hyperparameter Tuning and Optimizer
4.5 Experimental Setup
5 Results and Discussion
5.1 Comparison Between Models
5.2 Best Model with Different Datasets
5.3 Hyperparameter Tuning and Optimizer
5.4 Discussion
6 Conclusion
References
Assessing the COVID-19 Vaccination Process via Functional Data Analysis
1 Introduction
1.1 Contribution and Related Work
2 Materials
2.1 Data Description
2.2 Handling the Missing Data
3 Methods: Functional Data Analysis
3.1 B-Spline Basis
3.2 Smoothing Parameter
3.3 Functional Principal Component Analysis (FPCA)
3.4 Functional Cluster Analysis
4 Results and Discussion
4.1 Data Smoothing
4.2 FPCA
4.3 FPC Scores
4.4 Perturbations of the Mean Function
4.5 Functional Clustering
5 Conclusions and Further Studies
References
A Methodology to Develop an Outdoor Activities Recommender Based on Air Pollution Variables
1 Introduction
2 Related Works
3 Methodology
3.1 Data Collection
3.2 Data Preprocessing
3.3 Data Analysis
3.4 Evaluation of the Optimal Number of Clusters
3.5 Results
4 Evaluation of the Methodology
4.1 Objectives and Research Questions
4.2 Context and Survey Design
4.3 Results and Data Interpretation
5 Threats to Validity
6 Conclusions
References
Improving with Metaheuristics the Item Selection in Parallel Coordinates Plot
1 Introduction
2 Related Works
3 Problem Formulation
3.1 Visualization Issue on PCP
3.2 PCP Metaheuristic Solution
3.3 Threats to Validity
4 Results
5 Conclusions
References
Implementation of Clustering Techniques to Data Obtained from a Memory Match Game Oriented to the Cognitive Function of Attention
1 Introduction
2 Related Works
3 Application of the Methodology
3.1 Cluster Application
4 Conclusion
References
Q-Learning in a Multidimensional Maze Environment
1 Introduction
1.1 Q-learning
2 Related Work
3 Methodology
3.1 Maze Design: Environment
3.2 Depth-First Search (DFS)
3.3 How the Agent Explores and Learns
3.4 Implementation Details
4 Results
5 Discussion
6 Conclusions
7 Future Work
References
Cyberbullying Through the Lens of Data Science
1 Introduction
2 Related Work
3 Systematic Literature Review
3.1 Planning the Review
3.2 Conducting the Review
4 Conclusions
Appendix 1
References
Software Development
Comparative Study of Image Degradation and Restoration Techniques
1 Introduction
2 Degradation Restoration Modeling
2.1 Degradation Functions
2.2 Restoration Filters
3 Results of Modeling
3.1 Dataset
3.2 Measuring Similarity
3.3 Image Degradation Results
3.4 Image Restoration Results
3.5 Evaluation Results
4 Conclusions
References
IOWA Rough-Fuzzy Support Vector Data Description
1 Introduction
2 Literature Review
2.1 Rough-Fuzzy Support Vector Data Description
2.2 Ordered Weighted Average
2.3 Recent Advances on SVDD
3 Proposed Methodology for IOWA-RFSVDD
4 Computational Experiments
5 Conclusions and Future Work
References
Preparation of a Social Engineering Attack, from Scratch to Compromise: A USB Dropper and Impersonation Approach
1 Introduction
1.1 Motivation
1.2 Goals
2 Background
2.1 Social Engineering
2.2 Common Attacks
2.3 Human Weakness Exploitation
2.4 Tailgating
2.5 Empathy
2.6 Attack Structure
2.7 USB Dropper
2.8 Bad USB Drive
2.9 Impersonation
2.10 Pretext
2.11 Persuasion
2.12 Social Engineering in the Enterprise
2.13 Awareness
3 Methodology
3.1 The Preparation
3.2 Tools
4 Results and Discussion
References
Information Security at Higher Education Institutions: A Systematic Literature Review
1 Introduction
2 Methodology and Tools
2.1 Research Questions
2.2 Document Search
2.3 Article Selection
2.4 Relevant Data Mining
3 Results
4 Discussion
5 Conclusions
References
Author Index