Telematics and Computing: 10th International Congress, WITCOM 2021, Virtual Event, November 8–12, 2021, Proceedings (Communications in Computer and Information Science)

This book constitutes the thoroughly refereed proceedings of the 10th International Congress on Telematics and Computing, WITCOM 2021, held in November 2021. Due to the COVID-19 pandemic the conference was held online. The 12 full papers and 7 short papers in this volume were carefully reviewed and selected from 48 submissions. The papers are focused on the topics of deep and machine learning, cybersecurity, wireless networks, computer vision, communications, and education applied to different sceneries of study and COVID-19. Preface Organization Contents An Artificial Neural Network for Depression Screening and Questionnaire Refinement in Undergraduate Students 1 Introduction 2 Theoretical Background 2.1 Depression 2.2 Machine Learning 2.3 State of the Art 3 Development/Methodology 3.1 Questionnaire Design 3.2 Data Collection and Analysis 3.3 The Artificial Neural Network for Regression 4 Results 4.1 Major Depression Disorder Screening 4.2 Questionnaire Refining 5 Conclusions References Mexican Edaphology Database 1 Introduction 1.1 Mexican Soils 1.2 Polluted Soils in Mexico 1.3 Complaints for Contaminated Soils 2 Mexican Edaphology Database Development 2.1 Database Construction 3 Conclusions References Security Incident Classification Applied to Automated Decisions Using Machine Learning 1 Introduction 2 Framework 3 Security Incidents Sources 4 Vector of Features 5 Generating the Model 6 Building the Model 6.1 Using a Logistic Regression Model 6.2 Using a Random Forest Classifier Model 6.3 Using a K Nearest Neighbor Model 6.4 Using Bayes Model 6.5 Confusion Matrix 6.6 Results 7 Conclusion References Integration of Rural and Urban Training in Teachers, Students and Older Adults in Computer Security Mediated by Technology 1 Introduction 2 Digital Transposition in the Computer Age 2.1 Training and Development of Critical-Reflective Thinking Skills in Higher Education 2.2 Development of Teaching Skills for the Appropriation of New Technological Horizons 2.3 The Elderly and Their Perception of the Technological Environment in the 21st Century 2.4 Need to Transform the Educational Environment of the Student, Teacher and Older Adult Through Emerging Technology 3 Methodology 3.1 Technique and Instruments 3.2 Analysis Technique 4 Results 4.1 Acquisition of Critical-Reflective Thinking Skills in Higher Education 4.2 Acquisition of Teaching Competencies in Computer Security 4.3 Acquisition of Knowledge in Safe Means of Payment in Older Adults 4.4 Virtual Objects and Pedagogical Usability 5 Conclusions References Accuracy Comparison Between Deep Learning Models for Mexican Lemon Classification 1 Introduction 2 Literature Review 3 Methodology 3.1 Image Database 3.2 Creating Various Datasets for Training 3.3 The Classification Model 3.4 Training the Models 4 Results 4.1 Metrics for Color Images 4.2 Metrics for Grayscale Images 4.3 Performance Against New Data 5 Conclusions and Future Work References Detection of Covid-19 by Applying a Convolutional Artificial Neural Network in X-ray Images of Lungs 1 Introduction 2 Related Work 3 Dataset 4 Model Formulation 5 Results Evaluation 6 Conclusions References Scientific Literature Review for the Search of Vulnerabilities and Pentesting Tools for SCADA System 1 Introduction 2 Systematic Review Process 2.1 Definition of the Search Protocol 2.2 Conducting the Information Search 3 Results 4 Discussion 5 Conclusions References Automatic Diagnosis of Cardiovascular Diseases Using Electrocardiogram Data and Artificial Intelligence Algorithms: A Systematic Review 1 Introduction 2 Method 2.1 Search Strategy 2.2 Selection Criteria 3 Data Extraction 4 Results 4.1 Task 4.2 Method 5 Data Description 5.1 Source 5.2 Number of Leads 5.3 Sample Duration 5.4 Annotations and Metadata 5.5 Main Databases 6 Discussion of Opportunities and Challenges 6.1 Databases 6.2 Application 6.3 Unequal Classes 6.4 Complementary Data 7 Conclusion References Optic Disc and Optic Cup Segmentation Using Polar Coordinate and Encoder-Decoder Architecture 1 Introduction 2 Methods 2.1 Preprocessing 2.2 Architecture 2.3 Training and Testing 3 Results and Discussion 4 Conclusions References Forecasting the Behavior of Electric Power Supply at Yucatan, Mexico, Using a Recurrent Neural Network 1 Introduction 2 Materials and Methods 2.1 Artificial Neural Networks 2.2 Electric Power Time Series from Yucatan, Mexico 3 Development and Results 4 Conclusions 5 Future Work References Methodological Proposal for Privilege Escalation in Windows Systems 1 Introduction 2 Methodology of Search, Diagnosis, Validation and Analysis of the Data 2.1 Environment Configuration Based on Experimental Design 2.2 Universe and Sample 2.3 Windows Services 2.4 System Privileges in Windows 2.5 Techniques and Instruments for Data Collection 2.6 Windows Asset Identification 2.7 Analysis of Techniques on Elevation of Privilege 2.8 Search for Techniques and Variables to Consider 2.9 Comparison of Techniques Based on Scenarios 2.10 Variables to Consider in the Execution of Techniques 3 Procedural Proposal 4 Conclusions References Satisfaction of Members of a Facebook Group with the Credible Information Provided to Reduce Medical Misinformation in Obstetrics During the COVID-19 Pandemic 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 References Content Distribution and Storage Based on Volunteer and Community Computing 1 Introduction 2 Related Work 3 P2P Background 4 P2P Collaborative Architecture 5 Evaluation 6 Conclusions References Classification of Cardiac Arrhythmias Using Machine Learning Algorithms 1 Introduction 2 Background 2.1 Wavelets 2.2 Classifiers 3 Implementation 3.1 Data Acquisition/Segmentation 3.2 Feature Extraction and Dimensionality Reduction 3.3 Classification 4 Experimentation and Results 4.1 Metrics 4.2 Results 5 Conclusions References Performance Analysis of S-ALOHA Protocol Under Pareto Distributed Packet Arrival 1 Introduction 2 Basic Access Method 3 Traffic Models 4 Traffic Load Estimation 5 Numerical Results 6 Conclusions References Learning Through Interactive Vicarious and Social Experiences, an Alternative to Developing Teaching Training Processes in Ict Skills 1 Introduction 2 Methodology of Design and Validation 2.1 Graduate Training Based on Learning Experience Design 2.2 Purposes 2.3 Proposal of Procedure 3 Analysis of Results 4 Conclusions References Analysis of User Generated Content Based on a Recommender System and Augmented Reality 1 Introduction 2 Related Work 3 Methodology 3.1 Personalization Stage 3.2 Semantic Processing Stage 3.3 Visualization Stage 4 Results 4.1 Results of the Personalization Stage 4.2 Semantic Processing Stage 4.3 Visualization Stage 5 Conclusions and Future Work References An Improved Riesz s-Energy-Based Archive to Handle Dominance Resistant Solutions 1 Introduction 2 Background 2.1 Multi-objective Optimization 2.2 Riesz s-Energy 3 Handling Dominance Resistant Solutions 4 Experimental Results 4.1 Discussion of Results 5 Conclusions and Future Work References Analysis of the Level of Geographic Criminal Risk Oriented to Women 1 Introduction 2 Data Sources Description 3 Methodology 3.1 Preprocessing Data 3.2 Level Crime Risk Estimation 4 Experiments and Results 5 Conclusions References Correction to: Learning Through Interactive Vicarious and Social Experiences, an Alternative to Developing Teaching Training Processes in Ict Skills Correction to: Chapter “Learning Through Interactive Vicarious and Social Experiences, an Alternative to Developing Teaching Training Processes in Ict Skills” in: M. F. Mata-Rivera and R. Zagal-Flores (Eds.): Telematics and Computing, CCIS 1430, https://doi.org/10.1007/978-3-030-89586-0_16 Author Index 513957_1_En_BookBackmatter_OnlinePDF.pdf Author Index 513957_1_En_BookBackmatter_OnlinePDF.pdf Author Index An Artificial Neural Network for Depression Screening and Questionnaire Refinement in Undergraduate Students -- Mexican Edaphology Database -- Security incident classification applied to automated decisions using machine learning -- Integration of Rural and Urban Training in Teachers, Students and Older Adults in Computer Security Mediated by Technology -- Accuracy comparison between deep learning models for Mexican lemon classification -- Detection of covid-19 by applying a convolutional artificial neural network in x-ray images of lungs -- Scientific literature review for the search of vulnerabilities and pen-testing tools for SCADA system -- Automatic diagnosis of cardiovascular diseases using electrocardiogram data and artificial intelligence algorithms: a systematic review -- Optic disc and optic cup segmentation using polar coordinate and encoder-decoder architecture -- Forecasting the behavior of electric power supply at Yucatan, Mexico, using a recurrent neural network -- Methodological proposal for privilege escalation in windows systems -- Satisfaction of Members of a Facebook Group with the Credible Information Provided to Reduce Medical Misinformation in Obstetrics during the COVID-19 Pandemic in Peru -- Content Distribution and Storage based on Volunteer and Community Computing -- Classification of cardiac arrhythmias using machine learning algorithms -- Performance Analysis of S-ALOHA Protocol Under Pareto Distributed Packet Arrival -- Learning Through Interactive Vicarious And Social Experiences, An Alternative To Developing Teaching Training Processes In Ict Skills -- Analysis of user generated content based on a recommender system based and augmented reality -- An Improved Riesz s-energy-based Archive to handle Dominance Resistant Solutions -- Analysis of the level of geographic criminal risk oriented to women