The two volume set LNCS 13258 and 13259 constitutes the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, held in Puerto de la Cruz, Tenerife, Spain in May – June 2022.
The total of 121 contributions was carefully reviewed and selected from 203 submissions. The papers are organized in two volumes, with the following topical sub-headings:
Part I: Machine Learning in Neuroscience; Neuromotor and Cognitive Disorders; Affective Analysis; Health Applications
Part II: Affective Computing in Ambient Intelligence; Bioinspired Computing Approaches; Machine Learning in Computer Vision and Robot; Deep Learning; Artificial Intelligence Applications.

lgli/978-3-031-06527-9.pdf

lgrsnf/978-3-031-06527-9.pdf

zlib/no-category/José Manuel Ferrández Vicente, José Ramón Álvarez-Sánchez, Félix de la Paz López, Hojjat Adeli/Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence: 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31 – June 3, 2022, Proceeding_25099356.pdf

9th international work-conference on the interplay between natural and artificial computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31 - June 3, 2022 : proceedings Part 2, Bio-inspired systems and applications : from robotics to ambient intelligence

International Work-Conference on the Interplay Between Natural and Artificial Computation

Thomas C.T. Michaels; Marcel Liechti

Springer International Publishing AG

Springer Nature Switzerland AG

Lecture notes in computer science, 13259, Cham, Switzerland, 2022

Lecture Notes in Computer Science Ser, v.13259, Cham, 2022

Springer Nature, Cham, 2022

1st ed. 2022, Cham, 2022

Switzerland, Switzerland

13, 20220524

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Preface
Organization
Contents – Part II
Contents – Part I
Eye Tracking Measurement of Train Drivers' Attention Based on Quasi-static Areas of Interest
1 Introduction
2 Eye Tracking with Camera-on-Rail Systems
3 Pilot Study: Materials and Methods
3.1 Experiment Procedure
4 Evaluation of Experimental Results
4.1 Example of Research Based on Quasi-static AoI: Common Strategies of Observation
4.2 Example of Research Based on Quasi-static AoI: The Importance of Incidental Objects and Landmarks
5 Conclusions and Future Works
References
A Physical Cognitive Assistant for Monitoring Hand Gestures Exercises
1 Introduction
2 Desktop Robot Description
2.1 Hardware Description
2.2 Software Description
2.3 Hand Gesture Detection for Basics Therapy
2.4 Emotion Classification
3 Conclusions and Future Work
References
Automation of Social Media Interactions
1 Introduction
2 Theoretical Modeling
3 Computational Model
4 Results and Discussion
5 Conclusion
References
Visualization Methods for Exploratory Subgroup Discovery on Time Series Data
1 Introduction
2 Method
3 Case Study: Application to Team Interaction Data
4 Discussion and Conclusions
References
Real-Life Validation of Emotion Detection System with Wearables
1 Introduction
2 Related Work
3 Experimental Setup
3.1 Emognition System
3.2 Datasets
3.3 Procedure
3.4 Results
4 Discussion and Conclusions
References
Real-Life Validation of Emotion Detection System with Wearables
1 Introduction
2 Related Work
3 Experimental Setup
3.1 Emognition System
3.2 Datasets
3.3 Procedure
3.4 Results
4 Discussion and Conclusions
References
Sentiment Analysis Based on Smart Human Mobility: A Comparative Study of ML Models
1 Introduction
2 State of the Art
2.1 Smart Cities and Internet of Things
2.2 Developed Studies
3 Experimental Study Case
3.1 Exploratory Data Analysis
3.2 Data Preprocessing
3.3 Developed Models
4 Results and Discussion
5 Conclusion
References
Evaluation of Selected APIs for Emotion Recognition from Facial Expressions
1 Introduction and Motivation
2 Emotion Recognition from Facial Expressions
2.1 Microsoft Face API
2.2 Kairos Emotion Analysis API
3 Datasets
4 APIs' Evaluation
5 Summary and Future Work
References
Bioinspired Computing Approaches
Robust Makespan Optimization via Genetic Algorithms on the Scientific Workflow Scheduling Problem
1 Introduction
2 The Scientific Workflow Scheduling Model
2.1 Schedule Evaluation Models
2.2 Definition of the Workflow Scheduling Problem
3 Genetic Algorithm
4 Experimental Study
5 Conclusions
References
Compiling Single Round QCCP-X Quantum Circuits by Genetic Algorithm
1 Introduction
2 QAOA and MaxCut
2.1 MaxCut Problem
3 Definition of the Quantum Circuit Compilation Problem
4 The Genetic Algorithm
5 Experimental Study
6 Conclusions
References
Elite Artificial Bee Colony for Makespan Optimisation in Job Shop with Interval Uncertainty
1 Introduction
2 The Job Shop Problem with Interval Durations
2.1 Interval Uncertainty
2.2 Robustness on Interval JSP
3 An Artificial Bee Colony Algorithm
3.1 Employed Bee Phase
3.2 Onlooker Bee Phase
3.3 Scout Bee Phase
4 Experimental Results
5 Conclusions
References
Energy Minimization vs. Deep Learning Approaches for Protein Structure Prediction
1 Introduction
2 Methods
2.1 Rosetta Ab Initio Protocol
2.2 HybridDE and CrowdingDE PSP Approaches
2.3 AlphaFold and RoseTTAFold
3 Results
3.1 Setup of the PSP Approaches
3.2 Examples with PDB Proteins
4 Discussion and Conclusions
References
Constructing Ensembles of Dispatching Rules for Multi-objective Problems
1 Introduction
2 Literature Review
3 Background
3.1 Unrelated Machines Environment
3.2 Automatic Design of DRs with GP
4 Designing Ensembles for MO Problems
4.1 Ensemble Construction
4.2 Ensemble Combination
5 Experimental Analysis
5.1 Setup
5.2 Optimising the R|rj|Cmax, Cw, Twt Problem
6 Conclusion
References
Building Heuristics and Ensembles for the Travel Salesman Problem
1 Introduction
2 The Travel Salesman Problem and Solving Method
3 Building Heuristics and Ensembles
3.1 Genetic Programming
3.2 The Genetic Algorithm
3.3 The GP and GA Fitness Functions
4 Experimental Study
4.1 Preliminaries
4.2 Results
5 Conclusions and Future Work
References
Reducing Energy Consumption in Fuzzy Flexible Job Shops Using Memetic Search
1 Introduction
2 Problem Formulation
3 Memetic Algorithm
4 Experimental Results
5 Conclusions
References
Machine Learning in Computer Vision and Robotics
Enhanced Image Segmentation by a Novel Test Time Augmentation and Super-Resolution
1 Introduction
2 Methodology
3 Results
4 Conclusions
References
Encoding Generative Adversarial Networks for Defense Against Image Classification Attacks
1 Introduction
2 Methodology
3 Experimental Results
3.1 Methods
3.2 Dataset
3.3 Architecture and Parameter Selection
3.4 Results
4 Conclusions
References
Anomalous Trajectory Detection for Automated Traffic Video Surveillance
1 Introduction
2 Methodology
3 Experimental Results
3.1 Methods
3.2 Dataset
3.3 Results
4 Conclusions
References
Defining High Risk Landslide Areas Using Machine Learning
1 Introduction
2 Description of the Study Area
3 Methodology
4 Experimentation
5 Results and Discussion
6 Conclusions and Future Work
References
Landslide Prediction with Machine Learning and Time Windows
1 Introduction
2 Methodology
3 Experimentation and Results
4 Conclusions and Future Work
References
Live TV Streaming Latency Measurement Using YOLO
1 Introduction
2 Related Work
3 System Architecture
4 Results
5 Conclusions
References
Analysis of Functional Connectome Pipelines for the Diagnosis of Autism Spectrum Disorders
1 Introduction
2 Methodology
2.1 Dataset
2.2 Functional Preprocessing Pipelines
2.3 Machine Learning Methods
3 Experimental Results
4 Conclusions
References
A Novel Continual Learning Approach for Competitive Neural Networks
1 Introduction
2 The Model
3 Experimental Results
3.1 Dataset
3.2 Results
4 Conclusions
References
SCASA: From Synthetic to Real Computer-Aided Sperm Analysis
1 Introduction
2 Related Work
3 Our Proposal
4 Experiments
5 Conclusions
References
Inter-session Transfer Learning in MI Based BCI for Controlling a Lower-Limb Exoskeleton
1 Introduction
2 Material and Methods
2.1 Subjects
2.2 Equipment
2.3 Experimental Setup
2.4 BCI
3 Results
4 Discussion
5 Conclusion
References
Autonomous Knowledge Representation for Efficient Skill Learning in Cognitive Robots
1 Introduction
2 e-MDB Cognitive Architecture
3 SRL in the e-MDB
3.1 State Representation Learning
3.2 World and Utility Model Learning
3.3 Policy Learning
3.4 Decision Processes
4 Real Robot Experiment
5 Conclusions
References
Autonomous Robot Navigation by Area Centroid Algorithm Using Depth Cameras
1 Introduction
2 Problem Statement
3 Methodology
3.1 Depth Map Camera
3.2 Images Under Study
3.3 Conclusions of the Imaging Study
3.4 Advance Polygon Generation
4 Experiments Results
5 Conclusions and Future Work
5.1 Conclusions
5.2 Future Work
References
Deep Learning
Data Augmentation Techniques for Speech Emotion Recognition and Deep Learning
1 Introduction
2 Data Augmentation Techniques
2.1 Tempo Perturbation
2.2 Vocal Tract Length Perturbation
2.3 Speed Perturbation
2.4 Additive White Gaussian Noise
3 Deep Neural Network Architecture
4 Design of Experiments and Dataset
5 Experimental Results
6 Conclusions and Further Work
References
Deep Learning Artwork Style Prediction and Similarity Detection
1 Introduction
2 Related Work
3 Methods and Materials
3.1 Dataset
3.2 Models
4 Experiments
4.1 Style Prediction Results
4.2 Style Similarity Relations from the Confusion Matrix
5 Conclusions and Future Work
References
Handwritten Word Recognition on the Fundación-Osborne Dataset
1 Introduction
2 Related Works
3 Material and Methods
3.1 Network Architecture
3.2 Datasets
3.3 Data Preprocessing
4 Experiments and Results
4.1 Implementation Details
4.2 Training Process
4.3 Analysis of Results
5 Conclusions
References
Automatic Annotation for Weakly Supervised Pedestrian Detection
1 Introduction
2 Related Work
3 Experimental Setup
3.1 Dataset
3.2 Neural Network Architecture
3.3 Proposed Method
4 Experimental Analysis
4.1 Dataset Variations
4.2 Detection Network Comparison
4.3 Detection Filtering Comparison
5 Conclusions and Future Work
References
Explaining CNN Classifications by Propositional Rules Generated from DCT Feature Maps
1 Introduction
2 Models
2.1 CNN Architecture
2.2 Discrete Cosine Transform (DCT)
2.3 DIMLP Networks
3 Experiments
3.1 First Series of Experiments
3.2 Second Series of Experiments
4 Conclusion
References
Non-analytical Reasoning Assisted Deep Reinforcement Learning
1 Introduction
2 Non-analytical Reasoning
2.1 Intuition
2.2 Insight
3 Solving Montezuma's Revenge Using Pixel Context Based Heuristics
3.1 Environmental Setup
3.2 Deep Reinforcement Learning with Reward Shaping
3.3 Image to Reward Conversion
4 Experiments
4.1 Testing
4.2 Skull Jump with Pixel Based Rewards
4.3 Key-Grab with Pixel Based Rewards
5 Conclusion
References
Double-Layer Stacked Denoising Autoencoders for Regression
1 Introduction
2 Method
3 Experiments and Their Results
3.1 Datasets
3.2 Dataset Preprocessing
3.3 Machine Design Processes
4 Discussion of the Experimental Results
5 Conclusions
References
Deep Layout Extraction Applied to Historical Postcards
1 Introduction
2 Layout Extraction Applied Historical Document Images
3 Historical Postcard Dataset
4 Semantic Segmentation Architecture
5 Experimental Results
6 Conclusion
References
Detection of Unknown Defects in Semiconductor Materials from a Hybrid Deep and Machine Learning Approach
1 Introduction
2 Materials and Methods
2.1 Data
2.2 ResNet50
2.3 GMM
3 Results and Discussion
4 Conclusions and Future Work
References
Using Temporal Information in Deep Learning Architectures to Improve Lane Detection Under Adverse Situations
1 Introduction
2 Methodology
3 Training
3.1 Dataset
3.2 Data Augmentation
3.3 Loss and Optimizer
4 Results
4.1 Metrics
4.2 Performance
5 Conclusions
References
Improvement of Fixation Elements Detection in Aircraft Manufacturing
1 Introduction
2 Materials and Methods
2.1 Dataset
2.2 Proposed Approach
2.3 Experimental Setup
3 Results
4 Discussion and Conclusions
References
A New Artificial Intelligence Approach for the Radiographic Classification of Sacroiliitis
1 Introduction
2 Methods
2.1 Imaging Pre-processing
2.2 Model Training
2.3 Model Architecture
3 Results
4 Discussion
5 Conclusions and Future Development
References
Deep Reinforcement Learning in Agents' Training: Unity ML-Agents
1 Introduction
2 AI and Games
3 Game Scenario as Environment for Reinforcement Learning
3.1 Enemy Training Using the PPO Algorithm Implementation of ML-Agents
3.2 Enemy Training Using a Custom Algorithm
4 Conclusions and Future Work
References
Artificial Intelligence Applications
Basic Arithmetic Calculations Through Virus-Based Machines
1 Introduction
2 Virus Machines
3 Arithmetic Operation Modules
3.1 Add Module
3.2 Sub Module
3.3 Mul Module
3.4 Quotient Module
3.5 Remainder Module
4 Conclusions and Future Work
References
An Efficient and Rotation Invariant Fourier-Based Metric for Assessing the Quality of Images Created by Generative Models
1 Introduction
2 Methods
3 Experimental Setup
4 Evaluation
4.1 Response to Image Distortions
4.2 Behaviour During Training
4.3 Performance Analysis
5 Conclusions and Future Work
References
A First-in-Class Block-Based Programming Language Distance Calculation
1 Introduction
2 Materials and Methods
2.1 Research Context and Technological Choices
2.2 User Experience with Scratch
2.3 Distance Calculation for Block-Based Programming Languages
3 Results
4 Discussion
References
An Approach to Emotions Through Lexical Availability
1 Introduction
2 The Model
3 Scope of the Work
4 Results
4.1 Primary Exploration of ML over the Problem
4.2 Use of AutoML over the Problem
4.3 MLP Vs AutoML Comparison
5 Conclusions and Future Work
References
A Bacteria-Based Metaheuristic as a Tool for Group Formation
1 Introduction
2 The Problem
2.1 Collaborative Groups Based on Specific Tests
2.2 Collaborative Groups Based on Lexical Availability
3 The Model
4 Bacteria Algorithm
5 Results
6 Conclusions
References
KANT: A Tool for Grounding and Knowledge Management
1 Introduction
2 Related Work
3 Knowledge Management Engine
3.1 PDDL Abstractions in KANT
3.2 Implementation Overview
4 Evaluation Procedure
4.1 Results
5 Discussion
6 Conclusions
References
Clustering of COVID-19 Time Series Incidence Intensity in Andalusia, Spain
1 Introduction
2 Data Description and Processing
3 Clustering
4 Experimental Settings and Results
4.1 Experimental Settings
4.2 Results
4.3 Discussion
5 Conclusions
References
Triage Prediction of a Real Dataset of COVID-19 Patients in Alava
1 Introduction
2 Related Work
3 Methods
3.1 Ethical Approval and Patient Consent
3.2 Normalization of the Age Dependent Variables
3.3 Class Balancing
4 Experimental Design
4.1 Classifiers
4.2 Process
5 Results
6 Conclusions
References
Vision-Based Human Posture Detection from a Virtual Home-Care Unmanned Aerial Vehicle
1 Introduction
2 Monitoring Dependent People at Home from UAVs
3 Computer Vision Algorithms
3.1 MediaPipe
3.2 Human Detection
3.3 Posture Detection
4 Preliminary Results
5 Conclusions
References
Development and Validation of a Novel Technology for Postural Analysis and Human Kinematics
1 Introduction
2 Materials and Methods
2.1 Manual Goniometry
2.2 Automatic Measurements
2.3 Data Collection
2.4 Statistical Analysis
3 Results
3.1 Software Joint Position Stability
4 Discussion
4.1 Validation Method
4.2 Advantages and Applications
References
Multi-agent LoRaWAN Network for End-of-Life Management of Electric Vehicle Batteries
1 Introduction
2 Multi-agent LoRaWAN Network Management
2.1 LoRa and LoRaWAN
2.2 Architecture and Components
2.3 Resource-Allocation Algorithm
3 EoL Management of Electric Vehicle Batteries
3.1 System Setup and Results
4 Conclusions
References
Spatial Frames of Reference and Action: A Study with Evolved Neuro-agents
1 Introduction
2 Material and Method
2.1 The Task
2.2 The Evolutionary Algorithm
2.3 The Autoencoder
3 Results
4 Conclusions and Future Directions
References
Multi-Agent Systems in Support of Digital Twins: A Survey
1 Introduction
2 Related Works
3 Methodology
4 Discussion
5 Conclusion and Future Work
References
Automatic Selection of Financial Ratios by Means of Differential Evolution and for Predicting Business Insolvency
1 Introduction
2 Methods
2.1 Differential Evolution
2.2 Financial Ratios and Dataset of Companies
3 Results
3.1 Setup of the Experiments
3.2 Classification Accuracies in the Different Test Variants
3.3 Accuracies with an ANN Model and the Selected Ratios
4 Discussion and Conclusions
References
Feature Ranking for Feature Sorting and Feature Selection: FR4(FS)2
1 Introduction
2 Attribute Selection
3 The Proposed Methodology
4 Experimental Results
5 Conclusions
References
A Computational Drug Repositioning Method for Rare Diseases
1 Introduction
2 Methods
2.1 Data Acquisition and Integration
2.2 Methodological Analysis
2.3 Pathways for Disease Selection
2.4 Drug Repositioning
3 Results and Discussion
3.1 Computational Drug Repositioning
3.2 Validation of Results in Clinical Trials
4 Conclusions
References
Doughnut Computing in City Planning for Achieving Human and Planetary Rights
1 Motivation
2 Main Goals
2.1 Doughnut Economics
3 Proof of Concept
3.1 Process
4 Computational Methodology and Tools
4.1 Planning Example
5 Conclusion
References
Temperature Control and Monitoring System for Electrical Power Transformers Using Thermal Imaging
1 Introduction
2 Materials and Methods
2.1 Thermal Camera-Based Monitoring System
2.2 Image Processing
3 Experiments and Results
4 Discussion
5 Conclusions
References
Visual Parking Space Estimation Using Detection Networks and Rule-Based Systems
1 Introduction
2 Proposed Method
2.1 First Stage: Vehicle Detections
2.2 Second Stage: Rule-Based Decisions
3 Experiments
3.1 Dataset
3.2 Metrics
3.3 Comparison of Object Detection Networks
3.4 Comparison of Different Strategies
4 Conclusions
References
Correction to: Real-Life Validation of Emotion Detection System with Wearables
Correction to: Chapter “Real-Life Validation of Emotion Detection System with Wearables” in: J. M. Ferrández Vicente et al. (Eds.): Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, LNCS 13259, https://doi.org/10.1007/978-3-031-06527-9_5
Author Index

Lecture Notes in Computer Science
Erscheinungsdatum: 19.05.2022

2023-05-19