Trends and Applications in Information Systems and Technologies: Volume 1

✍ Scribed by Álvaro Rocha; Hojjat Adeli; Gintautas Dzemyda; Fernando Moreira; Ana Maria Ramalho Correia

• Publisher: Springer Nature
• Year: 2021
• Tongue: English
• Leaves: 602
• Category: Library

✦ Synopsis

​This book is composed of a selection of articles from The 2021 World Conference on Information Systems and Technologies (WorldCIST'21), held online between 30 and 31 of March and 1 and 2 of April 2021 at Hangra de Heroismo, Terceira Island, Azores, Portugal. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges of modern information systems and technologies research, together with their technological development and applications. The main topics covered are: A) Information and Knowledge Management; B) Organizational Models and Information Systems; C) Software and Systems Modeling; D) Software Systems, Architectures, Applications and Tools; E) Multimedia Systems and Applications; F) Computer Networks, Mobility and Pervasive Systems; G) Intelligent and Decision Support Systems; H) Big Data Analytics and Applications; I) Human–Computer Interaction; J) Ethics, Computers & Security; K) Health Informatics; L) Information Technologies in Education; M) Information Technologies in Radiocommunications; N) Technologies for Biomedical Applications.

✦ Table of Contents

Preface
Contents
Intelligent and Decision Support Systems
Latent Impacts on Digital Technologies Sustainability Assessment and Development
1 Introduction
2 Uncertainty Factors Influencing Sustainability Development
3 Uncertainty Modelling in Sustainability Assessment
4 Conclusion
References
Using Kinect to Detect Gait Movement in Alzheimer Patients
1 Introduction
2 Methods and Materials
2.1 Methods
2.2 Materials
3 Development of the Model
4 Results
5 Conclusion
References
The Analysis of Triples of Triangular Norms for the Subject Area of Passenger Transport Logistics
1 Introduction
2 Description of the Task
3 Mathematical Tool of the wFPN
4 Net Representation of the Task
5 Conclusion
References
Real-Time Stair Detection Using Multi-stage Ground Estimation Based on KMeans and RANSAC
1 Introduction
2 Proposed Method
2.1 Feature of Negative Obstacle
2.2 Point Cloud Clustering
2.3 RANSAC Plane Estimation and Negative Obstacle Decision
3 Experiment
3.1 Performance Assessment
3.2 Experimental Results
4 Conclusion
References
Artificial Intelligence Based Strategy for Vessel Decision Support System
1 Introduction
2 Related Work
3 The Problem of Navigation in the Marine Traffic
4 Methodology
5 Results
6 Discussions and Conclusion
References
Improved Multi-scale Fusion of Attention Network for Hyperspectral Image Classification
1 Introduction
2 Related Work
2.1 SSAN Algorithm
2.2 Multi-scale Mechanism
3 Proposed Method
3.1 Switch Different Sizes of Patches
3.2 Multi-scale Fusion
4 Experiments and Analysis
4.1 Experimental Setup
4.2 Analysis of Experimental Results
5 Conclusion
References
Predictive Models in the Assessment of Tax Fraud Evidences
1 Introduction
2 Data Mining Process
2.1 Modeling
2.2 Results Assessment
3 Methodology
3.1 Literature Review
3.2 Information and Data Analyzed
4 Data Analysis - Case Study
4.1 Data Understanding
4.2 Logistic Regression Models
4.3 Neural Network Models
5 Conclusion
References
Mobile Manipulator Robot Control Through Virtual Hardware in the Loop
1 Introduction
2 System Structure
3 Mobile Manipulator Robot
4 Control Scheme
4.1 Kinematic Control
4.2 Dynamic Compensation
5 Experimental Results
6 Conclusions
References
Optimizing Regularized Multiple Linear Regression Using Hyperparameter Tuning for Crime Rate Performance Prediction
1 Introduction
2 Related Works
3 System Design
3.1 Problem Description
3.2 Data Set Description and Analysis
3.3 Methods
4 Results and Discussions
4.1 Description of Environment
4.2 Testing the Performance and Discussion of Results
5 Conclusions and Future Works
References
Modelling a Deep Learning Framework for Recognition of Human Actions on Video
1 Introduction
2 State of Art
2.1 C2D – Resnet 50
2.2 SlowFast Network
2.3 Inflated 3D ConvNet (I3D)
2.4 Dataset
3 Materials and Methods
3.1 Architectures Networks
3.2 Training Data
3.3 Validation Data
4 Results and Discussion
5 Conclusions and Future Work
References
Torque Control of a Robotic Manipulator Joint Using LQG and LMI-Based Strategies with LTR
1 Introduction
2 Robotic Manipulator
2.1 Forward Kinematics
2.2 Dynamic Modelling
3 Controllers Design
3.1 Linear Quadratic Gaussian with Loop Transfer Recovery (LQG with LTR)
3.2 Linear Matrix Inequalities with Loop Transfer Recovery (LMI with LTR)
4 Results
4.1 Discussions
5 Conclusions
References
Forecasting the Retirement Age: A Bayesian Model Ensemble Approach
1 Introduction
2 Materials and Methods
2.1 Life Expectancy Measures
2.2 Retirement Age Policies
2.3 Bayesian Model Ensemble Approach to Mortality Forecasting
2.4 Candidate Stochastic Mortality Models
3 Results
4 Conclusion
References
Using Bayesian Dialysis and Tetrads to Detect the Persistent Characteristics of Fraud
Abstract
1 Introduction
2 Methodology
2.1 Notation
2.2 Problem Setting
2.3 Valuation of the Evidence
3 Results
3.1 Question 1. The Case of VAT Control
3.2 Question 2. The Case of Corporate Tax Checks
3.3 Question 3. Aggregation of Evidence Under Latent Causes
Acknowledgements
References
Benchmark of Encoders of Nominal Features for Regression
1 Introduction
1.1 Encoders
2 Materials and Methods
2.1 Datasets Used
2.2 Encoders
2.3 Learning Algorithms
2.4 Performance Metrics
2.5 Experimental Procedure
2.6 Resource Monitoring
2.7 Extending the Benchmark
3 Results and Discussion
3.1 Encoders Performance
3.2 Resource Monitoring
3.3 Comparing the Results
3.4 On Fairness
4 Conclusions
References
Optimizing Model Training in Interactive Learning Scenarios
1 Introduction
2 Background
3 Methodology
4 Validation and Results
5 Conclusions
References
Early Prediction of student’s Performance in Higher Education: A Case Study
1 Introduction
2 Related Work
3 Methodology
3.1 Data
3.2 Data Sampling Techniques
3.3 Classification Models
3.4 Model Training, Evaluation Metrics and Hyperparameter Tuning
4 Results
4.1 Data Sampling Techniques
4.2 Standard Models
4.3 Boosting Models
5 Conclusions and Future Work
References
Object Detection in Rural Roads Through SSD and YOLO Framework
1 Introduction
1.1 Overview Deep Neural Network (DNN)
2 Materials and Methods
2.1 YOLO Framework
2.2 SSD Framework
2.3 Dataset
2.4 Methodology
2.5 Metrics
3 Experimental and Discussions
4 Conclusion
References
Study of MRI-Based Biomarkers on Patients with Cerebral Amyloid Angiopathy Using Artificial Intelligence
1 Introduction
2 Background
2.1 Clinical Rating Scales
2.2 Radiomics
3 Materials and Methods
3.1 Dataset
3.2 Pre-processing
3.3 Visual Rating of Brain Atrophy
3.4 Low Level Feature Extraction with Radiomics
3.5 Machine Learning
4 Results
4.1 Approach 1: Visual Rating Scales Biomarker Exploration
4.2 Approach 2: Classification of Diseases Based on Radiomics Data
4.3 Approach 3: Classification of Diseases Based on Combination Data
5 Conclusion
References
One-Pixel Attacks Against Medical Imaging: A Conceptual Framework
1 Introduction
2 Adversarial Examples
3 Attack Framework
4 Discussion
References
Big Data Analytics and Applications
Implementation of Big Data Analytics Tool in a Higher Education Institution
1 Introduction
2 Architecture
3 Implemented Modules
3.1 School Dropout - Machine Learning Model
3.2 Numerical Analysis
3.3 Dynamic Reports
4 Results and Discussion
4.1 Analytical Components
4.2 Machine Learning Model
4.3 Data Extraction
5 Conclusion
References
Big Data in Policing: Profiling, Patterns, and Out of the Box Thinking
1 Introduction
2 State of the Art
3 Big Data and Security Context
4 Discussion and Conclusion
References
Research Trends in Customer Churn Prediction: A Data Mining Approach
1 Introduction
2 Overview
3 Literature Review
4 Research Methodology
5 Results
6 Conclusions
References
Roll Padding and WaveNet for Multivariate Time Series in Human Activity Recognition
1 Introduction
2 Case Study
3 Convolution and Padding
3.1 Convolution
3.2 Traditional Padding Methods
3.3 Roll Padding
4 Tested Architectures
4.1 WaveNet with Roll Padding
5 Results and Conclusions
References
Automatic Classifier of Scientific Contents
1 Introduction
2 Concepts and Subjects
2.1 Classification Systems
2.2 Machine Learning
3 Application Scenario
4 An Automatic Classifier
5 Conclusions
References
Crowdsourced Data Stream Mining for Tourism Recommendation
1 Introduction
2 Data Stream Mining
2.1 Profiling
2.2 Recommendation
2.3 Explanations
2.4 Evaluation
2.5 Support Technologies
3 Research Trends
4 Conclusion
References
W-core Transformer Model for Chinese Word Segmentation
1 Introduction
2 Related Work
2.1 Encoder in Transformer Model
2.2 Window-core Layer
3 Proposed Method
4 Experimental Analysis
4.1 Experimental Data
4.2 Model Framework Settings
4.3 Results and Analysis
4.4 The Role of W-core
5 Conclusion
References
Computer Networks, Mobility and Pervasive Systems
Implementation and Evaluation of WBBR in ns-3 for Multipath Networks
1 Introduction
2 Background
3 Implementation
4 Results
5 Conclusions
References
Trends, Challenges and Opportunities for IoT in Smallholder Agriculture Sector: An Evaluation from the Perspective of Good Practices
1 Introduction
2 Methodology
3 Analysis of Results
4 Discussion
5 Conclusions and Future Work
References
Optical Wireless Communication Applications and Progress to Ubiquitous Optical Networks
1 Introduction
2 Methodology
3 Data Rates in VLC Optical Wireless Links
4 OWC’s Various Technologies and Applications
4.1 VLC
4.2 OCC
4.3 LiFi
4.4 FSO
4.5 IR Communication
5 Applications and Challenges in OWC
6 Conclusions
References
The Perspective of Cyclists on Current Practices with Digital Tools and Envisioned Services for Urban Cycling
1 Introduction
1.1 Objectives
2 Related Work
3 Method
3.1 Focus Groups
3.2 Interviews
3.3 Data Analysis
4 Results
4.1 Current Practices in Digital Tools, Wearables, and Sensors
4.2 Technological Difficulties and Needs
4.3 Useful Features of a Mobile Application
5 Conclusion
References
Enhancing the Motorcycling Experience with Social Applications: A Study of User Needs
1 Introduction
2 Related Work
3 Research Methodology
4 Results
4.1 Planning a Trip
4.2 Sharing Information
4.3 Communicating
4.4 Other Results
5 Conclusion
References
Maximizing Sensors Trust Through Support Vector Machine
1 Introduction
2 Related Work
3 Maximizing Trustworthiness
3.1 Selection of Uncertainties
3.2 Selection of Trust Factors
4 Proposed Methodology
5 Results and Discussion
6 Conclusion
References
Spreading Factor Analysis for LoRa Networks: A Supervised Learning Approach
1 Introduction
2 Related Work
3 LoRa Technology
4 Architecture
5 Machine Learning Integration
6 Performance Evaluation
6.1 Simulation Parameters
6.2 Simulation Results
7 Conclusions
References
Ethics, Computers and Security
Web Guard
1 Introduction
2 Related Works
2.1 Comparison of Previous Works
3 Our Approach
3.1 Features Extraction
3.2 Learning Phase
3.3 The Classifier
4 Experiment and Results
4.1 How It Works
4.2 Experimental Procedure
4.3 Results
4.4 Discussion
5 Conclusion and Future Work
References
Filters that Fight Back Revisited: Conceptualization and Future Agenda
1 Introduction
2 Filters that Fight Back - The Current View
3 Our Example Solution
3.1 The Algorithm
3.2 Filling in the Forms
4 Discussion
4.1 Technical Challenges
4.2 Ethical and Legal Issues
4.3 Benefits
5 Conclusions and Future Agenda
References
Malware Security Evasion Techniques: An Original Keylogger Implementation
1 Introduction
2 Related Work
3 Keyloggers
4 Development of the Malware
5 Keylogger Validation versus Evasion Techniques
5.1 Firewall
5.2 User Account Control
5.3 Antivirus
6 Evaluation of Results
7 Conclusions
References
Legal Ethical Implications in the Exercise of Communication and Information Technologies (ICT) in Telemedicine and e-Law in Medellín - Colombia
1 Introduction
2 Context
3 Methodology
4 Telemedicine
5 e-Law
6 Discussion
7 Conclusions
References
A Proposal for Artificial Moral Pedagogical Agents
1 Introduction
2 The Value Alignment Problem and Its Challenges
3 A Proposal for Value Alignment for Educational Context
4 Discussion and Final Considerations
References
Human-Computer Interaction
State of the Art of Human-Computer Interaction (HCI) Master’s Programs 2020
1 Introduction
2 Need for Review
3 Search Process
3.1 Research Question
3.2 Concepts and Definitions
3.3 Information Media Consulted
3.4 Inclusion and Exclusion Criteria
3.5 Search Query
3.6 Review Process
3.7 Search Results
4 The Need for HCI Knowledge in Companies and Organizations
5 Conclusions and Future Work
References
On Bridging the Gap Between Far Eastern Cultures and the User Interface
1 Introduction
2 Methodology
2.1 Design Principles
2.2 Technical Details of the Implementation
3 Experimental Results
4 Discussion
4.1 Possible with a Satisfactory Practicability
4.2 Possible but with a Low Practicability
4.3 Not Currently Possible
5 Conclusion
References
Promotion of Social Participation in Smart City Developments: Six Technologies for Potential Use in Living Labs
1 Introduction
2 Relevance of Information System Technologies for Public Participation
2.1 Models of Digital Technology for Public Policy Development
3 Case Studies
4 Final Remarks
References
Electroencephalography as an Alternative for Evaluating User eXperience in Interactive Systems
1 Introduction
2 Background
3 Materials and Methods
3.1 Participants
3.2 Instruments
3.3 Experimental Procedures
3.4 Results
4 Conclusions and Future Work
References
Heuristic Evaluation Method Applied to the Usability Assessment of Smart Homes Applications
1 Introduction
2 Background
3 Methods
3.1 Study Design
3.2 The Assessed Applications
4 Results
5 Discussion
6 Conclusion
References
Smart Glasses User Experience in STEM Students: A Systematic Mapping Study
1 Introduction
2 Related Work
3 The Systematic Mapping Study
3.1 Mapping Questions
3.2 Search Strategy
3.3 Databases and Inclusion & Exclusion Criteria
3.4 Studies Selection Process
4 Results
5 Discussion
6 Conclusions and Future Work
References
Multimodal Assistive Technology for the Support of Students with Multiple Disabilities
1 Introduction
2 NJOY Architecture
2.1 NJOY Multimodal Interaction System
2.2 NJOY Collaborative Assistive Platform
2.3 NJOY Assistive Home Environment
3 Evaluation
4 Conclusions and Future Work
References
Hunter-Gatherer Approach to Math Education - Everyday Mathematics in a San Community and Implications on Technology Design
1 Introduction
2 Theoretical Background
2.1 Educational Math Technologies
2.2 Evolutionary Psychology and the Hunter-Gatherers
3 Empirical Study
3.1 Study Process and Participants
3.2 What Mathematics We Observe in the Daily Lives of the San People
3.3 What Mathematics We Observe in the Hunting and Gathering Traditions of the San People
4 Discussion
4.1 Design Consideration for Math Technologies
4.2 Design Considerations for the Namibian School System
4.3 Limitations and Future Work
5 Conclusions
References
Emotions and Intelligent Tutors
1 Introduction
2 State of Art
2.1 Previous Work
2.2 Affective Computing
3 Architecture
4 Methodology and Methods
4.1 Population
5 Results and Discussion
6 Conclusions and Future Work
References
Health Informatics
Factors affecting the Usage of e-Health Services in Kuwait
1 Introduction
2 The status e-Health services in Kuwait
3 Problem Statement and Methodology
4 Validity and Reliability of the Research Instrument
5 The Results
6 Conclusions
Appendix
Factors Affecting e-Participation in Kuwait e-Health
References
Data Mining Approach to Classify Cases of Lung Cancer
1 Introduction
2 Related Work
3 Data Mining Process
3.1 Business Understanding
3.2 Data Understanding
3.3 Data Preparation
3.4 Modeling
3.5 Evaluation
4 Discussion
5 Conclusion
References
Mobile Burnout Estimation Device - An Agile Driven Pathway
1 Introduction
1.1 Research Context
1.2 Theoretical Background
1.3 Short Literature Review
2 Materials and Methods
3 Agile Based Model Application for Product Development
4 Test Results on the Developed Prototype
5 Conclusions and Discussions
References
Development of Adaptive Software for Individuals with Hearing Loss
1 Introduction
2 Hearing Loss
2.1 Rehabilitation of Hearing Loss
3 Software Development
3.1 Requirement Analysis
3.2 Project
3.3 Implementation
4 Usability Tests
4.1 Participants
4.2 Location
4.3 Procedures
4.4 Risks and Benefits
5 Results and Discussions
5.1 Interviews with Speech Therapists
5.2 Results of the Tests
6 Conclusion
References
Ensemble Regression for Blood Glucose Prediction
1 Introduction
2 Related Work
3 Research Methodology
3.1 Mapping Questions
3.2 Search Strategy
3.3 Study Selection
3.4 Data Extraction
3.5 Data Synthesis
4 Results
4.1 Overview of Selected Studies
4.2 MQ1: In Which Sources and Years have the Studies been Published?
4.3 MQ2: What Information was Fed as Input to Predict BGL and Which Data Sources were Used to Collect the Data?
4.4 MQ3: What are the Most Used Ensemble Types for BGL Prediction?
5 Discussion
5.1 MQ1: In Which Sources and Years have the Studies been Published?
5.2 MQ2: What Information was Fed as Input to Predict BGL Using Ensembles and Which Data Sources were Used to Collect the Data?
5.3 MQ3: What are the Most Used Ensemble Types for BGL Prediction?
6 Conclusion and Study Implications
References
Virtual Reality in the Treatment of Acrophobia
1 Introduction
2 Methods
2.1 Participants
2.2 Instruments
2.3 Procedures
3 Results
3.1 Acrophobia Questionnaire
3.2 Psychophysiological Assessment Measures
3.3 Behavioral Avoidance Test (BAT)
3.4 Simulator Sickness Questionnaire (SSQ)
4 Discussion
5 Conclusion
References
FOMO Among Polish Adolescents. Fear Of Missing Out as a Diagnostic and Educational Challenge
1 Introduction and Related Works
2 Methodology
2.1 Research Objectives
2.2 Sample and Test Procedure
2.3 Research Tool
2.4 Research Ethics
3 Results
4 Discussion and Summary
References
Elderly Monitoring – An EPS@ISEP 2020 Project
1 Introduction
2 Background
2.1 Related Solutions
2.2 Ethics, Marketing and Sustainability
3 Design
4 Development
5 Tests
6 Discussion
7 Conclusion
References
Emotion Recognition in Children with Autism Spectrum Disorder Using Convolutional Neural Networks
1 Introduction
2 Background
2.1 Recognition of Emotions as Therapy for Children with ASD
2.2 Neural Networks
2.3 Smart Healthcare
3 Related Works
4 Methods and Experiments
4.1 Dataset and Features
4.2 Architecture
5 Results
6 Conclusions
References
Author Index