Preface
Organization
Contents
Workshop on Artificial Intelligence for Industry (AI4Industry)
Workshop on Artificial Intelligence for Industry (AI4Industry)
Organization
Organizing Committee
Program Committee
Towards the Application of Multi-Agent Task Allocation to Hygiene Tasks in the Food Production Industry
1 Introduction
2 Background
2.1 Food Safety and Hazard Analysis and Critical Control Point (HACCP)
2.2 COP Process Steps
2.3 Adaption of MATA Methodologies to Food Factory Hygiene Tasks
3 Survey Results
4 Methodology
4.1 Agents
4.2 Task Allocation Mechanisms
4.3 Allocation of Cleaning Tasks
4.4 Execution of Simulation
5 Experiments
6 Results
7 Summary
References
David – A Novel Approach to an Industrial Recommender System
1 Introduction
2 Recommender Systems for Industry – Performance and Pitfalls
3 User Modelling and Ratings
4 Concept of David - An Intelligent Recommender System
4.1 Industrial and B2B Context of Application
4.2 An Example from the Jewelry and Home Decor Business Area
4.3 A Potentially Good Solution
5 Conclusions
References
Multiple Domain Security Awareness for Factories of the Future
1 Introduction
2 State of the Art
3 Proposed Multi-domain Architecture
3.1 System Architecture
3.2 Energy Forecasting Analyzer
3.3 Human Behavior Analyzer
3.4 Network Analyzer
4 Intelligent Correlator
4.1 Correlator Architecture
4.2 Correlator Interface
5 Conclusion
References
Using an Explainable Machine Learning Approach to Minimize Opportunistic Maintenance Interventions
1 Introduction
2 Materials and Methods
2.1 Industrial Case Study
2.2 Anomaly Detection with iForest
2.3 Explainable Machine Learning with SHAP
2.4 Feature Selection with mRmR
3 Implementation
3.1 Feature Engineering and Selection for Single Failure Identification
3.2 Fault Detection with iForest
3.3 Fault Isolation and Identification with SHAP
4 Results
5 Conclusions
References
Workshop on Adaptive Smart areaS and Intelligent Agents (ASSIA)
Workshop on Adaptive Smart areaS and Intelligent Agents (ASSIA)
Organization
Organizing Committee
Program Committee
Object Recognition-Driven Cultural Travel Guide for the Coffee Cultural Landscape of Colombia
1 Introduction
2 Related Work
2.1 Cultural Heritage Mobile Applications
3 Cultural Travel Guide (CTG) Platform
3.1 SSD Network
3.2 Loss
4 Experiments and Results
5 Conclusión
References
Towards Semantic Modelling of the Edge-Cloud Continuum
1 Introduction
2 Related works
3 Proposed solution
3.1 The Edge-Cloud Ontology (ECO)
3.2 Using the ECO Ontology: Problem Detection and Adaptation
4 Use case
5 Conclusions
References
A Collaborative Approach to Mobile Crowdsourcing Based on Data Stream Learning
1 Introduction
2 Agent-Based Collaborative Crowdshipping with Parcel Transfers
3 Agent-Based Crowdshipping Simulation Model
3.1 Environmental Model
3.2 Crowdworker Agents
3.3 Parcels and Initial Assignment
3.4 Agent-Based Crowdshipping Simulator
4 Predicting Delivery Success
4.1 General Prediction Model
4.2 Learning from Data Streams
4.3 Experiments
5 Optimizing Delivery Success by Collaborative Parcel Transfers
6 Related Work
7 Conclusion and Future Lines of Research
References
On Balancing Fairness and Efficiency of Task Assignment in Agent Societies
1 Introduction
2 State of the Art
3 Motivation and Problem Definition
4 Proposed Fairness Measures
5 Proposed Models Considering Fairness and Efficiency
6 Functional Tests
7 Conclusions
References
Plant Disease Detection: An Edge-AI Proposal
1 Introduction
2 System Description
2.1 Hardware Description
2.2 Software Description
3 Experimental Setup
3.1 Dataset and Quantification of the Results
3.2 Experimental Results
4 Conclusions and Future Work
References
Machine Lerning for the Analysis of Vegetation in the Heritage City of Salamanca
1 Introduction
2 Related Works
3 Requirements to Meet the Needs of Smart Cities
4 K-Means and K-NN for Vegetation Classification
4.1 Clustering Process
4.2 Classification Process
5 Conclusions and Future Work Lines
References
Demand-Responsive Mobility for Rural Areas: A Review
1 Introduction
2 Demand-Responsive Transportation Description
2.1 System Types
2.2 Modelling and Optimisation Techniques
2.3 Optimisation Goals
3 Previous Work Classification
4 Open Issues
4.1 Issuance of Bookings
4.2 Adoption Rate of DRT
4.3 Data Sourcing
4.4 Stop Location and Mobility Hubs
4.5 Decentralised Fleet Operation
5 Conclusions
References
Workshop on Character Computing (C2)
En
Organizing Committee
Program Committee
FAN-VE: A Tool for Facial Animation Generation in Virtual Reality Education
1 Introduction
2 Background and Related Work
2.1 Facial Expressions
2.2 Facial Expressions in Education
2.3 VR in Education
2.4 Virtual Teacher
3 Approach
3.1 Characters
3.2 Audio
3.3 Facial Expressions
3.4 Body Animations
3.5 Recording
3.6 User Interface
4 Experiment
4.1 Participants
4.2 Procedure and Setup
4.3 Test and Questionnaires
5 Results and Discussion
5.1 SUS Questionnaire
5.2 Participants Feedback
6 Conclusion and Future Work
References
Vaxera: An Empathetic Chatbot for COVID-19 Vaccination
1 Introduction
2 Related Work
3 Chatbot Design
3.1 Features and Functionalities
3.2 Social Cues
3.3 Chatbot Implementation
4 Experimental Design
4.1 Experiment Procedure
4.2 Results and Discussion
5 Conclusion and Future Work
References
Personalized Avatars Without Agentic Interaction: Do They Promote Learning Performance and Sense of Self in a Teaching Context? A Pilot Study
1 Introduction
1.1 Aim of the Present Study
2 Methods
2.1 Participants, Procedure, Study Design and Methods
3 Data Analysis and Results
3.1 Data Analysis
3.2 Results
4 Discussion, Conclusion and Future Outlook
References
The Effects of Personality Traits on Rumors
1 Introduction
2 Related Work
2.1 Believing a Rumor
2.2 Social Media, Misinformation and Personality
3 Implementation and Methods
3.1 Collecting Rumors
3.2 Study Survey Conducted
4 Results and Analysis
4.1 Personality Trait vs. Believing Rumors
4.2 Valence per Personality Trait Versus Accepting or Rejecting Rumors
4.3 Arousal per Personality Trait Versus Accepting or Rejecting Rumors
5 Discussion
6 Conclusion and Future Work
References
Workshop on Deep Learning Applications (DeLA)
En
Organizing Committee
Program Committee
A Computer Vision Model for Detecting Suspicious Behaviour from Multiple Cameras in Crime Hotspots Using Convolutional Neural Networks
1 Introduction
1.1 Research Question and Contributions
2 Backgrounds
2.1 Related Techniques
2.2 Selected Theoretical Techniques
3 Development of Deep Learning Computer Vision Framework
3.1 Stage 1: Data Acquisition
3.2 Stage 2: Image Pre-processing
3.3 Stage 3: Detection
3.4 Evaluation Metrics
4 Experimental Evaluation and Results
4.1 Data Description and Experimental Settings
4.2 Experiment 1: Detection of Suspicious Suddenly Breaking into a Run on Real-Life Datasets
4.3 Experiment 2: Benchmarking Popular Publicly Available UMN Video Dataset for Detection of Suddenly Breaking into a Run
5 Conclusion
References
Analysis of Machine Learning Algorithms for Violence Detection in Audio
1 Introduction
2 Literature Review
2.1 Recognition of Human Actions
2.2 Audio vs Video
2.3 Audio Representation
2.4 Public Datasets
3 Dataset
3.1 Preprocessing the Dataset
4 Experiment
4.1 Deep Learning Models
4.2 Training Details
5 Results and Discussion
6 Conclusion
References
Improving the Effectiveness of Heart Disease Diagnosis with Machine Learning
1 Introduction
2 State of the Art
3 Data Mining Approach
3.1 Heart Disease Dataset
3.2 Data Preparation
3.3 Modeling
3.4 Evaluation
4 Discussion and Contributions
5 Conclusions and Future Work
References
Workshop on Decision Support, Recommendation, and Persuasion in Artificial Intelligence (DeRePAI)
En
Organizing Committee
Program Committee
Planning Model for Visiting Tourist Attractions with Minimum Costs
1 Introduction
2 Planning Model
3 OpApp- Applicaton for Choosing Tourist Attractions
3.1 OpApp – Specifications
3.2 OpApp – Algorithm
4 ToRoGen – Application for Generating Tourist Circuits
4.1 ToRoGen – Specifications
4.2 ToRoGen – Algorithm
4.3 SpTrGen – Algorithm
5 Conclusions
References
Implementation of a FHIR Specification for the Interoperability of a Remote Monitoring Platform of Patients with Vascular Diseases
1 Introduction
2 Remote Monitoring Platform Architecture
3 FHIR
3.1 Related Works
3.2 Implementation
3.3 Domain Model
3.4 Code System
3.5 Mapping of Intermittent Claudication Concepts
4 Conclusions and Future Work
References
Legal Issues of the Use of Chatbot Apps for Mental Health Support
1 Introduction. Conversational Agents in the Mental Health Care Context
2 Data Protection Principles Governing the Use of Conversational Agents
2.1 Data Protection by Design: Special Categories of Data
2.2 Security Measures
2.3 ADM, Profiling, and Transparency
2.4 Informed Consent
3 The Medical Device Regulation (MDR)
4 The AI Act Proposal (AIA)
5 The Data Act Proposal
6 Contractual Liability
7 The Protection of Vulnerable Patients: Legal Issues
8 Conclusion
References
A Hybrid Model to Classify Physical Activity Profiles
1 Introduction
2 Clustering Analysis
2.1 Data Description
2.2 Data Pre-processing
3 Hierarchical Clustering
4 Cluster Validation
5 Classification Model
5.1 Interpretation of Results
6 Conclusions and Future Work
References
Workshop on Multi-Agent Based Applications for Modern Energy Markets, Smart Grids and Future Power Systems (MASGES)
Workshop on Multi-Agent Based Applications for Modern Energy Markets, Smart Grids and Future Power Systems (MASGES)
Organization
Organizing Committee
Program Committee
Impact Assessment of Simultaneous Deployment of Electric Vehicle and Solar Energy Sources in Unbalanced Distribution Network
1 Introduction
2 PHEV Load and PV Modelling
2.1 PHEV Modelling
2.2 PV Modelling
3 Performance Parameters
3.1 Voltage Profile
3.2 Voltage Unbalance Condition
3.3 Active Power Loss
4 Methodology
5 Results and Discussion
5.1 Voltage Profile
5.2 Real Power Loss
5.3 Voltage Unbalance Factor (VUF)
6 Conclusion
References
Strategic Bidding of Retailers in Wholesale Energy Markets: A Model Using Hybrid Forecast Methods
1 Introduction
2 Risk Management and Portfolio Optimization
3 Strategic Bidding in Wholesale Markets
4 Case Study
5 Conclusion
References
Approximate Time-Series Data Aggregation Using Grouping Nodes in Peer to Peer Network
1 Introduction
2 Related Work
3 Methods
4 Experimental Results
5 Conclusion
References
Author Index