From Bioinspired Systems and Biomedical Applications to Machine Learning

Name: From Bioinspired Systems and Biomedical Applications to Machine Learning | 8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019, Almería, Spain, June 3-7, 2019, Proceedings, Part II
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8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019, Almería, Spain, June 3-7, 2019, Proceedings, Part II

José Manuel Ferrández Vicente José Ramón Álvarez-Sánchez Félix de la Paz López Javier Toledo Moreo Hojjat Adeli(Herausgeber*in)

Springer (Verlag)

Erschienen am 9. Mai 2019

XXIII, 476 Seiten

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978-3-030-19651-6 (ISBN)

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Inhalt

Intro
Preface
Organization
Contents - Part II
Contents - Part I
Models
Towards a General Method for Logical Rule Extraction from Time Series
1 Introduction
2 Temporal APRIORI
3 Temporal Abstraction of Time Series
4 Application Example
5 Conclusions
References
A Principled Two-Step Method for Example-Dependent Cost Binary Classification
1 Introduction
2 Proposed Method
3 Experiments
3.1 Figure of Merit
3.2 Datasets
3.3 Benchmark Methods
3.4 Results
4 Conclusions
References
Symbiotic Autonomous Systems with Consciousness Using Digital Twins
1 Introduction
2 Symbiotic Autonomous Systems
3 Associative Cognitive Digital Twin Network
4 Consciousness Associative Layer
5 Conscious Associative Cognitive Architecture Framework
6 A Conscious Architecture for Critical Safety SAS
7 Conclusions
References
Deep Support Vector Classification and Regression
1 Introduction
2 Support Vector Machines
3 Deep Support Vector Machines
3.1 Deep Learning
3.2 Deep SVC and SVR
4 Experiments
4.1 Classification Experiments
4.2 Regression Experiments
5 Conclusions and Further Work
References
An Experimental Study on the Relationships Among Neural Codes and the Computational Properties of Neural Networks
1 Introduction
2 Materials and Methods
2.1 Methods of First Series of Experiments
2.2 Methods of the Second Series of Experiments
3 Results
3.1 Results of the First Series of Experiments
3.2 Results of the Second Series of Experiments
4 Discussion
5 Conclusions
References
Uninformed Methods to Build Optimal Choice-Based Ensembles
1 Introduction
2 Questions and Hypotheses
3 Methods
3.1 Dataset
3.2 Models
3.3 Evaluation
3.4 Software
4 Results
4.1 Best Method to Build Ensembles
4.2 Comparison with Single Learners and Random Predictions
4.3 Comparison with Ensembles Built with Decision Trees
5 Discussion
References
Robotics
Design and Implementation of a Robotics Learning Environment to Teach Physics in Secondary Schools
1 Introduction
2 IDEE Overview
3 IDEE Implementation
4 The Inclined Plane in IDEE
5 Conclusions and Future Work
References
Multi-robot User Interface for Cooperative Transportation Tasks
1 Introduction
2 System Design
2.1 Hardware
2.2 Software
3 Our Approach and Results
3.1 Approach
3.2 Results
4 Conclusion
References
Precise Positioning and Heading for Autonomous Scouting Robots in a Harsh Environment
1 Introduction
2 State of the Art of the Involved Technologies
3 Absolute Localization High Level Description
4 Relative Localization Overview
5 Test
6 Results
6.1 Absolute Localization Position and Heading
6.2 Relative Localization Position and Heading
7 Conclusions
References
Applications
Gesture Control Wearables for Human-Machine Interaction in Industry 4.0
1 Introduction
2 Gesture Control System Description
3 Gesture Control System Implementation
3.1 System Architecture
3.2 Hardware and Software
4 Experimentation
4.1 Experimental Setup
4.2 Reliability Experiment
4.3 Latency Times Experiment
5 Conclusions
References
Computing the Missing Lexicon in Students Using Bayesian Networks
1 Introduction
2 Theoretical Frame
2.1 Available Lexicon and Lexical Availability
2.2 Bayesian Networks
3 The Problem
3.1 Global Graph Generation
3.2 Bayesian Network Generation
4 Experiments and Results
5 Conclusions
References
Control of Transitory Take-Off Regime in the Transportation of a Pendulum by a Quadrotor
1 Introduction
2 Cable Modeling
2.1 Introduction
2.2 Our Cable Proposal
3 Quadrotor Control Strategy
4 Reinforcement Learning Model
5 Experiment
6 Results
7 Conclusions
References
Improving Scheduling Performance of a Real-Time System by Incorporation of an Artificial Intelligence Planner
1 Introduction
2 The Adaptive Hybrid Broadcast Model
2.1 Scheduling Information in the AHB Server
3 Incorporation of AI Planning: Multi-level Scheduling
4 Simulation of the AHB Communication Environment
5 Experiments and Results Obtained
6 Conclusions and Further Work
References
Convolutional Neural Networks for Olive Oil Classification
1 Introduction
2 Methodology
2.1 Olive Oil Samples
2.2 Chemical Methods for Data Acquisition
2.3 Deep Learning Approach
2.4 Software and Experimental Setting
3 Results
3.1 Architecture of the Model
3.2 Training the Model
3.3 Classification Performance
4 Discussion
References
An Indoor Illuminance Prediction Model Based on Neural Networks for Visual Comfort and Energy Efficiency Optimization Purposes
1 Introduction
2 Scope of the Research: Visual Comfort and CIESOL
3 A Neural Network Model for Indoor Illuminance of an Office-Room
3.1 ANN Inputs and Size
3.2 Data-Sets Construction
3.3 Architecture and Structure Selection
4 Results and Discussion
5 Conclusions and Future Works
References
Using Probabilistic Context Awareness in a Deliberative Planner System
1 Introduction
1.1 Contribution
1.2 Paper Organization
2 Framework Description
2.1 Probabilistic Inference Module
2.2 Probabilistic Planning
3 Experimentation
3.1 Evolution of the Location Probability
3.2 Comparison with Baseline
4 Conclusions
References
Combining Data-Driven and Domain Knowledge Components in an Intelligent Assistant to Build Personalized Menus
1 Introduction
2 Related Work
3 Overview of Diet4You
4 Formalization of the Nutritional Plan
5 Innovative Components of Diet4You
5.1 Hard Nutritional Restrictions Management
5.2 User Preferences
5.3 Cultural Eating Styles
5.4 Personal Menu Planner
5.5 Human and Artificial Intelligence Components Interaction
6 An Example of Application
7 Conclusions
References
Robust Heading Estimation in Mobile Phones
1 Introduction
2 Attitude Estimation
2.1 Quaternion Calculation
2.2 Magnetometer Calibration
2.3 Opportunistic Updates
3 Relative Position Estimation
4 Heading Estimation
5 Experimental Evaluation
6 Conclusions
References
Bioinspired Systems
Crowding Differential Evolution for Protein Structure Prediction
1 Introduction
2 Methods
2.1 Main Aspects of PSP with Rosetta
2.2 Crowding-Based Differential Evolution
2.3 Structural Diversity Measure
3 Results
4 Conclusions
References
Bacterial Resistance Algorithm. An Application to CVRP
1 Introduction
2 Bacterial Antibiotic Resistance Algorithm
3 The Algorithmic Proposal
4 BARA Algorithm Applied to the CVRP
4.1 Solutions Representation
4.2 Solutions Evaluation
5 Results
6 Conclusions
References
Conceptual Description of Nature-Inspired Cognitive Cities: Properties and Challenges
1 Introduction
2 The Cognitive City
3 The City as a Complex System
4 Natural Resilient Systems
5 Our Nature-Inspired Cognitive City Model
5.1 Decentralized Control
5.2 Locality and Stigmergy
5.3 Networking and Feedback Loops
5.4 Specialization and Redundancy
5.5 Randomness
5.6 Governance
6 Example: A Cognitive City Scenario
7 Open Challenges
7.1 Societal Challenges
7.2 Technical Challenges
8 Conclusions
References
Genetic Algorithm to Evolve Ensembles of Rules for On-Line Scheduling on Single Machine with Variable Capacity
1 Introduction
1.1 Problem Definition
2 Solving Method
2.1 Schedule Builder
2.2 Priority Rules for the (1,Cap(t)||Ti)
2.3 Considering Ensembles of Rules and Some Previous Results
3 Evolving Ensembles of Rules with Genetic Algorithms
4 Experimental Study
4.1 Test Bed and Previous Results
4.2 Results from GA
5 Conclusions
References
Multivariate Approach to Alcohol Detection in Drivers by Sensors and Artificial Vision
1 Introduction
2 Materials and Methods
2.1 Electronic Design
2.2 Data Coupling Scheme
2.3 Data Analysis
3 Results
3.1 Prototype Selection
3.2 Classification Algorithms
3.3 Implementation
4 Conclusions and Future Works
References
Optimization of Bridges Reinforcements with Tied-Arch Using Moth Search Algorithm
1 Introduction
2 Problem
2.1 Objective Function
2.2 Decision Variable
2.3 Constraints
3 Moth Search
3.1 Lévy Flights
3.2 Straight Flight
4 Integration
5 Experimental Results
5.1 Comparing Results
5.2 Distribution Comparison
6 Conclusions
References
Repairing Infeasibility in Scheduling via Genetic Algorithms
1 Introduction
2 Definition of the Problem
3 Solution Builder
4 Genetic Algorithm
5 Experimental Study
6 Conclusions
References
Application of Koniocortex-Like Networks to Cardiac Arrhythmias Classification
1 Introduction
2 Application of KLN to Cardiac Arrhythmias Classification
3 Materials and Methods
3.1 MIT-BIH Dataset
3.2 Data Preparation
3.3 Koniocortex-Like Network Model
4 Results
4.1 Network Characteristics
4.2 Evaluation Method
4.3 Classification Results
5 Discussion
6 Conclusions
References
Machine Learning for Big Data and Visualization
Content Based Image Retrieval by Convolutional Neural Networks
1 Introduction
2 State of the Art
3 Methodology
4 Experimental Results
4.1 Methods
4.2 Hardware and Software
4.3 Images Database
4.4 Results
5 Conclusion
References
Deep Learning Networks with p-norm Loss Layers for Spatial Resolution Enhancement of 3D Medical Images
1 Introduction
2 The Model
3 Experimental Results
3.1 Datasets
3.2 Methods
3.3 Results
4 Conclusion
References
Analysis of Dogs's Abandonment Problem Using Georeferenced Multi-agent Systems
1 Introduction
2 Related Work
3 Problem Statement
4 Simulation Model
4.1 Simulation Specifications and Features
4.2 Analysis and Definition of the Environment
4.3 Simulation Structure and Behavior
4.4 Environment and Agents Interactions
5 Conclusions
6 Future Work
References
Background Modeling by Shifted Tilings of Stacked Denoising Autoencoders
1 Introduction
2 Methodology
2.1 Patch Feature Extraction
2.2 Patch Classification
3 Experimental Results
3.1 Methods
3.2 Sequences
3.3 Parameter Selection
3.4 Evaluation
4 Conclusions
References
Deep Learning-Based Security System Powered by Low Cost Hardware and Panoramic Cameras
1 Introduction
2 Methodology
3 System Architecture
3.1 Software Architecture
3.2 Hardware Architecture
4 Experimental Results
5 Conclusions
References
Biomedical Applications
Neuroacoustical Stimulation of Parkinson's Disease Patients: A Case Study
1 Introduction
2 Fundamentals
3 Methods and Materials
4 Results and Discussion
5 Conclusions
References
Evaluating Instability on Phonation in Parkinson's Disease and Aging Speech
1 Introduction
2 Phonation Fundamentals
3 Materials and Methods
4 Results and Discussion
5 Conclusions
References
Differentiation Between Ischemic and Heart Rate Related Events Using the Continuous Wavelet Transform
1 Introduction
2 Materials and Methods
3 Results
4 Discussion and Conclusions
References
.20em plus .1em minus .1emAutomatic Measurement of ISNT and CDR on Retinal Images by Means of a Fast and Efficient Method Based on Mathematical Morphology and Active Contours
1 Introduction
2 Method
2.1 Image Acquisition and Enhancement
2.2 Mathematical Morphology
2.3 Parametric Active Contours
3 Results
3.1 ISNT
3.2 Cup to Disc Ratio
4 Conclusions
References
Bihemispheric Beta Desynchronization During an Upper-Limb Motor Task in Chronic Stroke Survivors
1 Introduction
2 Materials and Methods
2.1 Participant Recruitment
2.2 Experimental Setup
2.3 Experimental Protocol
2.4 EEG Data Acquisition and Analysis
3 Results
3.1 EEG Topographic Analysis
3.2 Time-Frequency Analysis
4 Discussion
5 Conclusion
References
Modeling and Estimation of Non-functional Properties: Leveraging the Power of QoS Metrics
1 Introduction
2 RoQME Overview
3 Testing RoQME in an Intralogistics Robotic Scenario
3.1 Modeling QoS Metrics on SAFETY and PERFORMANCE
3.2 Execution of the Intralogistics Robotic Application
4 Conclusions and Future Work
References
Machine-Health Application Based on Machine Learning Techniques for Prediction of Valve Wear in a Manufacturing Plant
1 Introduction
2 Methodology
2.1 Prediction of Ideal Behavior Without Valve Wear
2.2 Prediction of Real Behavior with Valve Wear
2.3 Prediction of Valve Wear
3 Results
3.1 Prediction of Ideal Valve Opening with MLP
3.2 Prediction of Real Valve Opening with RNN
3.3 Prediction of Valve Wear Results
4 Conclusions
References
Deep Learning
Artificial Semantic Memory with Autonomous Learning Applied to Social Robots
1 Introduction
2 Related Works
3 Person Identification Memory System Description
4 Experimentation
4.1 Dataset
4.2 Person Identification System Experiments
5 Limitations
6 Conclusion and Future Works
References
A Showcase of the Use of Autoencoders in Feature Learning Applications
1 Introduction
2 Fundamentals of Autoencoders
2.1 Encoded Space Structure
2.2 Available Software
3 Examples of Use
3.1 Visualization of High-Dimensional Data
3.2 Image Denoising
3.3 Anomaly Detection
3.4 Semantic Hashing
3.5 Other Applications
4 Conclusions
References
Automatic Image-Based Waste Classification
1 Introduction
2 Previous Work
3 Deep Architectures for Supervised Waste Classification
4 Classification Experiments Using TrashNet
4.1 The TrashNet Dataset
4.2 Data Pre-processing
4.3 Classification Experiments and Results
5 Conclusion
References
Propositional Rules Generated at the Top Layers of a CNN
1 Introduction
2 Models
2.1 CNN Architecture
2.2 The DIMLP Model
2.3 The Approximation of the CNN Architecture
3 Experiments
4 Conclusion
References
Deep Ordinal Classification Based on the Proportional Odds Model
1 Introduction
2 Proportional Odds Model as the Output Layer
3 Quadratic Weighted Kappa as the Loss Function
4 Experiments
4.1 Datasets
4.2 Models Compared
4.3 Experimental Design
5 Results
5.1 Statistical Analysis
5.2 Comparison with Previous Works
6 Conclusions
References
Data Preprocessing for Automatic WMH Segmentation with FCNNs
1 Introduction
2 Materials and Methods
2.1 Dataset
2.2 Preprocessing
2.3 Fully Convolutional Neural Network (adapted U-Net)
3 Experimental results
4 Discussion
5 Conclusions
References
FER in Primary School Children for Affective Robot Tutors
1 Introduction
1.1 Affective Robot Tutors
1.2 Facial Emotion Recognition
2 ARTIE: An Integrated Environment for the Development of Affective Robot Tutors
3 A Facial Emotional Expression Recognition Model for Primary School Students
3.1 Data Collection
3.2 Data Labelling
3.3 Emotional Model Generation
4 Results
5 Conclusions
References
Author Index

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