Distributed Computing and Artificial Intelligence, 15th International Conference

Name: Distributed Computing and Artificial Intelligence, 15th International Conference
Brand: Springer
Price: 149.79 EUR
Availability: OnlineOnly

Fernando De la Prieta Sigeru Omatu Antonio Fernández-Caballero(Editor)

Springer (Publisher)

1st Edition

Published on 4. July 2018

XVI, 369 pages

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978-3-319-94649-8 (ISBN)

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Content

Intro
Preface
Organization
Honorary Chairman
Program Committee Chairs
Local Committee Chair
Scientific Committee
Contents
Effects of Switching Costs in Distributed Problem-Solving Systems
1 Introduction
2 Outline of the Simulation Model
2.1 Organizational Structure and Overall Task of the DPSS
2.2 Agents' Options and Switching Costs
2.3 Agents' Objectives and Information
3 Simulation Experiments
4 Results and Discussion
4.1 Analysis of Baseline Scenarios
4.2 Sensitivity to the Level of Switching Costs
5 Conclusion
References
Fire Detection Using DCNN for Assisting Visually Impaired People in IoT Service Environment
Abstract
1 Introduction
2 Related Work
2.1 Traditional Approach
2.2 Deep Learning Approach
3 Methodology
3.1 Model Architecture
4 Experiments
4.1 Dataset Collection Phase
4.2 Training Phase
5 Results
5.1 Applications of IoT Service
6 Conclusion and Future Work
Acknowledgment
References
Development of Agent Predicting Werewolf with Deep Learning
1 Introduction
2 Werewolf
2.1 Role
2.2 Setting
3 Proposed Learning Method
3.1 Outline
3.2 Learning Process
4 Experiments
4.1 Exp.1: Voting Destination Prediction
4.2 Exp.2: Werewolf Prediction
4.3 Application to Agent
5 Analysis
5.1 Analysis of Agent
5.2 Analysis of Game
6 Consideration
7 Conclusion
References
A Comparative Study of Transfer Functions in Binary Evolutionary Algorithms for Single Objective Optimization
1 Introduction
2 Binary Evolutionary Algorithms
2.1 Gravitational Search Algorithm
2.2 Bat Algorithm
2.3 Dragonfly Algorithm
3 Transfer Functions for Binary Evolutionary Algorithms
4 Experiment Settings and Results
4.1 Benchmark Functions and Evaluation Metrics
4.2 Experiment Setting
4.3 Results and Discussion
5 Conclusion
References
Ontology-Based Advertisement Recommendation in Social Networks
Abstract
1 Introduction
2 Related Work
3 Ontology-Based Advertisement Recommendation in Social Networks
3.1 Proposed Framework
3.2 Interests Ontology
3.3 Ad Profile Generator
3.4 User Profile Generator
3.5 Ads Recommender
4 Validation
5 Conclusions and Future Work
Acknowledgements
References
Hand Gesture Detection with Convolutional Neural Networks
1 Introduction
2 Method
3 Experiments
3.1 Dataset
3.2 Evaluation Metrics
3.3 Results
4 Conclusions
References
A Genetic Algorithm Model for Slot Allocation Optimization to Brazilian CTOP Approach
1 Introduction
2 Related Works
2.1 Greedy Two-Step Optimization Approach
2.2 Game Theory to Suggest Trajectories in CTOP
2.3 Departure Management Using Genetic Algorithms
3 CTOP Approach Using GA to Brazilian Scenario
4 Case Study
4.1 Scenarios Environment
4.2 Analysis of Results
5 Conclusions
References
AllergyLESS. An Intelligent Recommender System to Reduce Exposition Time to Allergens in Smart-Cities
Abstract
1 Introduction
2 System Architecture
2.1 Overall Design
2.2 Information Gathering Module
2.3 Processing Module
2.4 User Interface
3 Evaluation
4 Conclusions and Future Work
Acknowlegements
References
Guided Evolutionary Search for Boolean Networks in the Density Classification Problem
1 Introduction
2 Background Knowledge
2.1 Small-World Networks
2.2 Density Classification Task
2.3 Evolutionary Search
3 Methodology
4 Experiments and Results
4.1 Topology Evolutionary Search in Specific Value Ranges
4.2 Rule Evolutionary Search
4.3 DCT Stress Test for the Best Individuals
5 Conclusions
References
Peculiarity Classification of Flat Finishing Motion Based on Tool Trajectory by Using Self-organizing Maps
1 Introduction
2 Motion Measuring System for Flat Finishing Skill Training
3 New Feature Extraction Based on Y-Z Trajectory of Tool
4 Peculiarity Classification by Torus Type SOM
4.1 Structure of SOM
4.2 Torus Type SOM
5 Clustering Torus SOM Result
6 Classification Experiment
7 Conclusion
References
Classification of Human Body Smell by Learning Vector Quantization
1 Introduction
2 Smell Sensors and Sensing System
3 Neuron Model and Neural Network
4 Measurement of Smell Data
5 Learning Algorithm of LVQ
6 Smell Classification of Body
7 Training for Classification of Smells
8 Smell Classification Results
9 Hardware System
10 Conclusions
References
A Multi-objective Evolutionary Proposal for Matching Students to Supervisors
1 Introduction
2 Related Work
3 Problem Formalization
3.1 Eliciting Preferences
3.2 Interest Matching Quality
3.3 Supervisors' Workload
3.4 Allocation Quality
4 Genetic Algorithm Design
5 Experiments
5.1 Experiment Design
5.2 Results
6 Conclusions
References
Real-Time Conditional Commitment Logic and Duration Communication Interpreted Systems
1 Introduction
2 Duration Communication Interpreted System
3 The Real-Time Conditional Commitment Logic
4 Conclusion
References
Moodsically. Personal Music Management Tool with Automatic Classification of Emotions
Abstract
1 Introduction
2 Music and Emotional Model
2.1 Musical Characteristics and Measure of Emotion
2.2 Web Applications with Support for the Emotional Filter in Music Selection
3 Moodsically
3.1 Extraction of Emotion in Music into the Tool
4 Conclusions and Future Work
Acknowledgments
References
Arrhythmia Detection Using Convolutional Neural Models
Abstract
1 Introduction
2 Methodology
3 First Experiment
4 Test for MLP with Two Hidden Layers
5 Second Experiment
6 Conclusions and Future Work
Acknowledgements
References
A Novel Sentence Vector Generation Method Based on Autoencoder and Bi-directional LSTM
1 Introduction
2 Related Work
2.1 Word2Vec
2.2 Doc2Vec
3 Proposed Method
3.1 Encoder and Decoder
3.2 Data Form of Input and Output
3.3 Learning and Generation of Sentence Vector
4 Experiments
4.1 Advance Preparation
4.2 Experimental Procedures
4.3 Experimental Conditions
4.4 Experimental Results
5 Conclusion
References
Recognizing the Order of Four-Scene Comics by Evolutionary Deep Learning
1 Introduction
2 Related Works
3 Four-Scene Comics
4 Deep Convolutional Neural Network
4.1 Three-Path DCNN
5 Evolutionary Deep Learning
5.1 Representation
5.2 Fitness Function
6 Experiments
6.1 Target Problem and evoDL Setting
6.2 Experimental Conditions
6.3 Results and Discussion
7 Conclusion
References
A Big Data Platform for Industrial Enterprise Asset Value Enablers
Abstract
1 Introduction
2 The InValue Platform
3 Big Data Architecture
4 Batch Data Ingestion
5 Conclusions
Acknowledgments
References
Estimating the Purpose of Discard in Mahjong to Support Learning for Beginners
1 Introduction
2 Basic Concept
2.1 Basic Mahjong Rule for Our Research
2.2 Preliminary Experiment
3 Constructing Hints for the Sets System
3.1 Setting up the System
3.2 Algorithm
3.3 Experiment 1
4 Estimation of Suitable Purpose for Player's Discard in the Present State
4.1 Defining the Purpose of Player's Discard
4.2 Target Data Construction
4.3 Two Types of Purpose for Estimation
5 Experiment 2
5.1 Feature Vectors
5.2 Experimental Settings and Result
6 Conclusion
References
A Web-Based Micro-service Architecture for Comparing Parallel Implementations of Dissimilarity Measures
1 Introduction
2 Micro-service Architecture and Application Deployment
3 Experiments and Results
4 Conclusions
References
A Parallel Application of Matheuristics in Data Envelopment Analysis
1 Introduction
2 Data Envelopment Analysis and the Problem to Be Solved
3 Parallel Algorithm
4 Experimental Results
5 Conclusions and Future Works
References
Prediction Market Index by Combining Financial Time-Series Forecasting and Sentiment Analysis Using Soft Computing
Abstract
1 Introduction
2 Proposed Framework
3 Structuring Your Paper
4 Length of Papers
5 Forecasting Time Series Using Artificial Neural Networks
6 Results
7 Conclusion
References
Relaxation Method of Convolutional Neural Networks for Natural Language Processing
1 Introduction
2 Related Work
3 Proposed Method
4 Experimental Setup
4.1 Dataset
4.2 Model
5 Experimental Results
6 Conclusion
References
Simple and Linear Bids in Multi-agent Daily Electricity Markets: A Preliminary Report
1 Introduction
2 The MATREM System: An Overview
2.1 The Day-Ahead Market
3 The Case-Study
3.1 System Marginal Pricing: Simple Offers
3.2 Locational Marginal Pricing: Linear Offers
4 Conclusion
References
Fault Tolerance in DisCSPs: Several Failures Case
1 Introduction
2 DisCSP and Fault Tolerance
3 Proposed Approach
3.1 Failure Detection
3.2 Failure Handling Algorithm
3.3 Replication Process
3.4 Merging Process
4 Hypothesis and Experiments
4.1 Hypothesis
4.2 Experiments and Results
5 Conclusion
References
Computer Vision and the Internet of Things Ecosystem in the Connected Home
Abstract
1 Introduction
2 Methodology
3 Results
4 Conclusion
Acknowledgments
References
Distributed System Integration Driven by Tests
Abstract
1 Introduction
2 Integration Method
2.1 Overall Perspective
2.2 Quality Triggers
3 Case Study
3.1 System Used to be Integrated
3.2 Component Communication
3.3 TDI Schema to be Used
4 Quality of the Integration
4.1 Variables to Measure
4.2 Quality Parameters
5 Conclusions
Acknowledgments
References
Coordination Platform for a Swarm of Mobile Robots
1 Introduction
2 Platform Architecture
2.1 Description Format
2.2 Swarm Simulation
3 Computational Platform Deployment
4 Conclusions and Future Work
References
Distributed Group Analytical Hierarchical Process by Consensus
1 Introduction
2 Related Technologies
3 Decentralized AHP Using Consensus in Multiplex Networks
3.1 Consensus and Gradient Combination
3.2 Utility Function
4 Maximizing Utility of GAHP by Consensus
4.1 Experiment 1: Joint Solution
4.2 Experiment 2: Breaking in Separated Agreements
5 Comparing with Other Approaches
6 Conclusions
References
Intelligent Flight in Indoor Drones
Abstract
1 Introduction
2 Distributed System Architecture
3 Flight Modes
4 Security vs Flight Modes
5 Flight Mode State Machine
6 Conclusions
Acknowledgements
References
Privacy Preserving Expectation Maximization (EM) Clustering Construction
1 Introduction
2 Related Work
3 Preliminary Notations
3.1 Expectation Maximization Clustering
3.2 Secure Sum Protocol
4 System Model
4.1 Privacy Preserving EM Clustering
4.2 Stopping Criterion
4.3 Privacy Preserving EM Clustering over Horizontally Partitioned Data
4.4 Privacy Preserving EM Clustering over Vertically Partitioned Data
5 Conclusion and Future Directions
References
A Framework for Group Decision-Making: Including Cognitive and Affective Aspects in a MCDA Method for Alternatives Rejection
Abstract
1 Introduction
2 Method
2.1 Step 1: Multi-criteria Problem Definition
2.2 Step 2: Definition of Alternatives and Criteria Weights
2.3 Step 3: Adjustment of Alternatives Weights Using Credibility and Expertise of Decision-Makers
2.4 Step 4: Alternatives Classification
2.5 Step 5: Alternatives Selection
2.6 Step 6: Alternatives Weighting Consistency
3 Conclusions and Future Work
Acknowledgments
References
Domain Identification Through Sentiment Analysis
1 Introduction
2 Basic Emotions
3 Related Work
4 Data Analysis
4.1 Data Preprocessing
4.2 Emotional Analysis
4.3 Looking Closer
4.4 Machine Learning Analysis
5 Conclusion
References
Automatic Music Generation by Deep Learning
1 Introduction
2 Related Works
3 Methodology
3.1 Data Understanding
3.2 Data Preparation
3.3 Modeling
3.4 Evaluation
4 Results
5 Discussion
6 A Deep Learning Based Web Application to Support Musical Composition
7 Conclusion and Future Works
References
A Novel Hybrid Multi-criteria Decision-Making Model to Solve UA-FLP
Abstract
1 Introduction
2 Suggested Approach
2.1 Proposed Methodology
3 Test Example
3.1 Methodology
3.2 Results
4 Conclusions
Acknowledgements
References
Robust Noisy Speech Recognition Using Deep Neural Support Vector Machines
1 Introduction
2 Related Works
3 Deep Neural SVM
4 Experimental Analysis
4.1 Noisy Speech System Description
4.2 Results and Discussion
5 Conclusion and Future Works
References
Preliminary Study of Mobile Device-Based Speech Enhancement System Using Lip-Reading
Abstract
1 Introduction
2 Speech Enhancement System
3 Vowel Recognition
3.1 Block Diagram of Vowel Recognition System
3.2 Experiments Using Multilayer Perceptron
3.3 Experiments Using Convolutional Neural Network
3.4 Experiments Using MobileNets
3.5 Evaluation of Accuracy and Computing Speed
4 Discussion
5 Conclusions
Acknowledgment
References
Social Services Diagnosis by Deep Learning
1 Introduction
2 Related Works
3 Methodology
3.1 Selection and Preprocessing
3.2 Transformation
3.3 Data Mining
3.4 Evaluation
4 Results
5 Discussion
6 Conclusion and Future Works
References
Combining Image and Non-image Clinical Data: An Infrastructure that Allows Machine Learning Studies in a Hospital Environment
Abstract
1 Introduction
1.1 Extensible Neuroimaging Archive Toolkit (XNAT)
1.2 Advanced Image Viewing and Processing
1.3 Containerization Platform
2 Infrastructure Development
2.1 Extending XNAT Data Types
3 Combining Image and Non-image Data for Brain Tumor Segmentation
4 Conclusions
Acknowledgements
References
RETRACTED CHAPTER: GarbMAS: Simulation of the Application of Gamification Techniques to Increase the Amount of Recycled Waste Through a Multi-agent System
Abstract
1 Introduction
2 Background
2.1 European Union Recycling Methods
2.2 Change in User Behaviour by Means of Gamification Techniques
2.3 Multi-agent Systems
3 Proposed System
3.1 Infrastructure Needed for Multi-agent System Management
3.2 GarbMAS Architecture
4 Case-Study
4.1 Smart City Experimental Set-Up
4.2 Results
5 Conclusions
Acknowledgements
References
A Computational Analysis of Psychopathy Based on a Network-Oriented Modeling Approach
Abstract
1 Introduction
2 Background on Psychopathy
3 Modeling Psychopathy
4 Simulation Experiments
5 Discussion
References
An Adaptive Temporal-Causal Network for Representing Changing Opinions on Music Releases
Abstract
1 Introduction
2 The Network-Oriented Modeling Approach Used
3 The Temporal-Causal Network Model
4 Simulation Results
5 Verification of the Network Model by Mathematical Analysis
6 Validation Using Empirical Data and Parameter Tuning
7 Discussion
References
Retraction Note to: GarbMAS: Simulation of the Application of Gamification Techniques to Increase the Amount of Recycled Waste Through a Multi-agent System
Retraction Note to: Chapter 40 in: F. De La Prieta et al. (Eds.): Distributed Computing and Artificial Intelligence, 15th International Conference, AISC 800, https://doi.org/10.1007/978-3-319-94649-8_40

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Distributed Computing and Artificial Intelligence, 15th International Conference

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