Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence

Name: 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, Proceedings, Part II
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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 II

José Manuel Ferrández Vicente José Ramón Álvarez-Sánchez Félix de la Paz López Hojjat Adeli(Editor)

Springer (Publisher)

Published on 24. May 2022

XXVIII, 597 pages

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978-3-031-06527-9 (ISBN)

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Content

Intro
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
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Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence

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