Computational Collective Intelligence

Name: Computational Collective Intelligence | 13th International Conference, ICCCI 2021, Rhodes, Greece, September 29 - October 1, 2021, Proceedings
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13th International Conference, ICCCI 2021, Rhodes, Greece, September 29 - October 1, 2021, Proceedings

Ngoc Thanh Nguyen Lazaros Iliadis Ilias Maglogiannis Bogdan Trawinski(Editor)

Springer (Publisher)

Published on 29. September 2021

XXVI, 804 pages

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Content

Intro
Preface
Organization
Contents
Knowledge Engineering and Semantic Web
Negative Sampling for Knowledge Graph Completion Based on Generative Adversarial Network
1 Introduction
2 Related Work
3 Baseline Models
3.1 NoiGAN
3.2 ConvKB
4 NAGAN-ConvKB Model
5 Experiments
5.1 Datasets
5.2 Metrics
5.3 Parameters and Training Process
5.4 Results
6 Conclusion
References
Learning Embedding for Knowledge Graph Completion with Hypernetwork
1 Introduction
2 Related Work
3 Proposed HyperConvKB Model
4 Experiments
4.1 Datasets
4.2 Metrics
4.3 Experiment Setup
4.4 Result and Analysis
5 Conclusion
References
RotatHS: Rotation Embedding on the Hyperplane with Soft Constraints for Link Prediction on Knowledge Graph
1 Introduction
2 Related Work
3 Baseline
3.1 TransE
3.2 TransH
3.3 RotatE
4 Our Proposed Model
4.1 Rotation Matrix
4.2 Projection on Hyperplane
4.3 RotatHS Model
5 Experiments
5.1 Datasets
5.2 Parameters and Metrics
5.3 Environment
5.4 Results
6 Conclusion
References
Assessing Ontology Alignments on the Level of Instances
1 Introduction
2 Related Works
3 Basic Notions
4 Methods of Ontology Alignment Assessment
4.1 Criterion Based on the Depth of the Mapped Classes
4.2 Criterion Based on the Continuity of Mapped Classes
5 Experimental Verification
5.1 Experimental Methodology
5.2 Data Analysis
6 Summary and Future Works
References
Describing Semantics of Data Metamodels: A Case Study of Association-Oriented Metamodel
1 Introduction
2 Description of Conceptual Layer of Metamodels
3 The Concept of Semantics Extraction
4 Association-Oriented Metamodel
5 Definition of Association-Oriented Metamodel's Semantics
5.1 Concepts
5.2 Semantic Atoms
5.3 Evaluation
6 Related Works
7 Conclusions
References
A Knowledge Graph Embedding Based Approach for Learning Path Recommendation for Career Goals
1 Introduction
2 Related Work
3 Description of Proposed Knowledge Graph Architecture
4 Recommendation System Based on Knowledge Graph Embedding
5 Experimental and Evaluation
6 Conclusion and Future Work
References
Social Networks and Recommender Systems
Collective Consciousness Supported by the Web: Healthy or Toxic?
1 Introduction
2 Noospheric Consciousness
3 Neuroscientific Theories of Consciousness
3.1 Information Integration Theory (IIT)
3.2 Adaptive Resonance Theory
3.3 Global Workspace
4 Self-organization of Dynamic Patterns
5 The Impact of COVID-19 on Noospheric Consciousness
6 Promoting a Healthy Noospheric Consciousness
References
Equilibrium Analysis for Within-Network Dynamics: From Linear to Nonlinear Aggregation
1 Introduction
2 Modeling and Analysis of Dynamics Within Networks
3 Preliminaries
4 Weakly Scalar-Free and Scalar-Free Functions
5 Scalar-Free Functions Based on Function Conjugates
6 General Equilibrium Analysis for Nonlinear Functions
7 Solving Nonlinear Equations for Euclidean Functions
8 Solving Nonlinear Equations for Geometric Functions
9 Discussion
References
The Effect of Emergent Team Roles on Team Performance: A Computational Network Model
1 Introduction
2 Background Knowledge
3 The Modeling Approach Used
4 Social Network Model
5 Simulation
6 Discussion
References
A Second-Order Adaptive Network Model for Shared Mental Models in Hospital Teamwork
1 Introduction
2 Background
3 The Adaptive Network Model Using a Shared Mental Model
4 Simulation for the Example Scenario
5 Discussion
References
Modeling an Epidemic - Multiagent Approach Based on an Extended SIR Model
1 Introduction
2 Related Work
3 Modeling the Spread of Disease
3.1 Definition of the Disease Model
4 Experimental Results
5 Conclusion
References
News Recommendations by Combining Intra-session with Inter-session and Content-Based Probabilistic Modelling
1 Introduction
2 Related Work
3 Problem Formulation
4 Our Proposed Method
4.1 Individual Preferences and Latest Intentions
4.2 Public Preferences
4.3 Recommendation List Creation
5 Experimental Evaluation
5.1 Log Analysis of Data Sets
5.2 Prequential Evaluation Protocol
5.3 Sensitivity Analysis of the Proposed Method
5.4 Comparison with Other Methods
6 Conclusion
References
Deep Matrix Factorization for Learning Resources Recommendation
1 Introduction
2 Related Work
3 Proposed Method
3.1 Problem Formulation
3.2 Deep Matrix Factorization for Learning Resource Recommendation
4 Experimental Results
4.1 Data Description
4.2 Baselines for Comparison
4.3 Evaluation Metrics
4.4 Evaluation Results
5 Conclusion
References
Impact of the Stroop Effect on Cognitive Load Using Subjective and Psychophysiological Measures
1 Introduction
2 Background and Related Works
2.1 Cognitive Load
2.2 Stroop Effect
2.3 Galvanic Skin Response
2.4 Subjective Cognitive Load Measurement
3 Experimental Setup
3.1 Participants
3.2 Stroop Test
3.3 Self-report Questionnaires Used
3.4 Biometric Techniques and Biosensors Used
3.5 Metrics to Assess Cognitive Load
4 Analysis of Experimental Results
5 Conclusions
References
Collective Decision-Making
Toward a Computing Model Dealing with Complex Phenomena: Interactive Granular Computing
1 Introduction
2 General Idea of IGrC
2.1 Complex Granules (c-granules)
2.2 Control of a c-granule
2.3 Real Physical Semantics of Spatio-Temporal Windows and Time Clock
3 Networks of c-granules and Distributed Control in Such Networks
4 Concluding Remarks
References
Coordination and Cooperation in Robot Soccer
1 Introduction
2 RoboCup Leagues and Organization
3 Cooperation Strategies
3.1 From Individual to Collective Strategies
3.2 Collective Strategies
3.3 Opponent Analysis for Cooperation
4 Analysis and Classification of the Proposed Approaches
5 Conclusions
References
Improving Pheromone Communication for UAV Swarm Mobility Management
1 Introduction
2 Related Work
3 Pheromone Based Swarm Mobility
3.1 Pheromone Communication
3.2 Collision Avoidance
4 Optimisation Algorithm
4.1 Crossover Operator
4.2 Mutation Operator
4.3 Fitness Function
5 Experiments
5.1 Case Studies
5.2 CACOC+ Optimisation
5.3 Experimental Results
5.4 Interferences and Packet Loss
6 Conclusions and Future Work
References
UAV-UGV Multi-robot System for Warehouse Inventory: Scheduling Issues
1 Introduction
2 Models and Problem Analysis
2.1 Problem Description
2.2 Optimization Problem Analysis
2.3 A Simple Lower Bound
3 Methods and Algorithms
3.1 List-Scheduling Algorithm
3.2 An Iterative/Probabilistic Method
4 Simulations/Use Case/Experimental Results
4.1 Use Case
4.2 Experimental Results
5 Conclusion and Perspectives
References
An Effective Correlation-Based Pair Trading Strategy Using Genetic Algorithms
1 Introduction
2 Literature Review
3 Proposed Approach
4 Experimental Results
4.1 Dataset Description
4.2 Comparison of the Proposed and Previous Approaches
4.3 Results of the Second Dataset
5 Conclusion and Future Work
References
Exploration Strategies for Model Checking with Ant Colony Optimization
1 Introduction
2 Background
2.1 Automata-Theoretic Model Checking
2.2 Model Checking Based on Ant Colony Optimization
3 Proposed Exploration Strategies
3.1 Skip Strategy
3.2 Replacement Strategy
4 Experiments
5 Conclusion
References
Periodic Distributed Delivery Routes Planning Subject to Uncertainty of Travel Parameters
1 Introduction
2 Problem Definition
3 Ordered Fuzzy Numbers Algebra
4 Ordered Fuzzy Constraint Satisfaction Problem
5 Conclusions
References
Decision Support Model for the Configuration of Multidimensional Resources in Multi-project Management
1 Introduction
2 Problem Statement and Illustrative Example
3 Decision Support Model for the Configuration of Multidimensional Resources
4 Computational Experiments
5 Conclusions
Appendix A Implementation of the Decision Model in AMPL
References
New Extensions of Reproduction Operators In solving LABS Problem Using EMAS Meta-Heuristic
1 Introduction
2 Evolutionary Multi-agent Systems for Discrete Optimisation Problems
3 Extended Recombination Operators for LABS Problem
3.1 New Variants of Recombination Operators
4 Experimental Study
4.1 Results
4.2 Summary of the Experimental Results
5 Conclusions and Future Work
References
Adam Smith's Invisible Hand as a New, Powerful and Robust Control Paradigm for Collective AI Robotics
1 Understanding the Invisible Hand
2 The Invisible Hand as an Unconscious, Chaotic, Non-deterministic Computational Process on the Platform of Beings/Robots in Natural/Artificial Social Structure
2.1 Social Structure of Agents/Robots as Computational Platform for Invisible Hand Acting as Control System
3 Overall Architecture of Control System Derived from Invisible Hand Paradigm, for Autonomous Team of AI Robots
4 Shaping Single Agents/robots
5 Conclusion
References
Polynomial Algorithms for Synthesizing Specific Classes of Optimal Block-Structured Processes
1 Introduction
2 Preliminaries and Problem Definition
2.1 Hierarchical Decomposition Process
2.2 Critical Path
3 An Exact Algorithm for Trees
4 An Exact Algorithm for a Tree Augmented with an Edge
5 An Exact Algorithm for Bipartite Graphs
6 An Exact Dynamic Programming Algorithm for Arbitrary DAG
7 Conclusions and Future Works
References
Cooperative Strategies for Decision Making and Optimization
A Population-Based Framework for Solving the Job Shop Scheduling Problem
1 Introduction
2 Job Shop Scheduling Problem
3 Related Work
4 MPF Framework
5 The MPF Framework Implementation for Solving JSSP Instances
6 Computational Experiment Results
7 Conclusions
References
Imbalanced Data Mining Using Oversampling and Cellular GEP Ensemble
1 Introduction
2 Related Work
3 GEP Ensemble with Oversampling and Dynamic Selection of Classifiers
3.1 Oversampling to Extend Minority Set
3.2 Learning an Ensemble of Classifiers
3.3 Dynamic Selection of Classifiers
4 Computational Experiment
5 Conlusions
References
Learning from Imbalanced Data Using Over-Sampling and the Firefly Algorithm
1 Introduction
2 Learning from Imbalanced Data
3 An Approach to Learning from Imbalanced Data
3.1 General Concept of the Proposed Approach
3.2 Proposed Firefly Algorithm
4 Computational Experiment
5 Conclusions
References
Adaptive Goal Function of Ant Colony Optimization in Fake News Detection
1 Introduction
2 Fake News Detection and Natural Language Processing
3 Classification Methods
4 Adaptive Goal Function of ACDT Algorithm
4.1 Quality of Classification
4.2 Goal Function
5 Computational Experiments
5.1 Experiment Design
5.2 Results of Experiments
6 Conclusions
References
Data Mining and Machine Learning
Feature (Gene) Clustering with Collinearity Models
1 Introduction
2 Dual Planes and Vertices in the Parameter Space
3 Vertexical Planes in Feature Space
4 Vertexical Feature Subspaces
5 Collinearity Criterion Functions
6 Minimization of Collinearity Criterion Functions
7 Feature (Gene) Clustering
8 Local Models of Linear Interactions
9 Experimental Results
10 Concluding Remarks
References
A Reinforcement Learning Framework for Multi-source Adaptive Streaming
1 Introduction
2 Reinforcement Learning Model
2.1 Reward Function
2.2 State Space
2.3 Action Space
2.4 RL-Based Adaptation for Multi-source Video Streaming (RAMS)
3 Simulation
3.1 Event-Driven Simulation
3.2 Results
4 Conclusions
References
Hybrid Computational Intelligence Modeling of Coseismic Landslides' Severity
1 Introduction
2 Area of Research
2.1 Coseismic Landslides at the Island of Lefkada
3 Dataset Pre-processing
3.1 Labeling Geological Forms
3.2 Fuzzy C-Means Clustering of Landslides
3.3 Fuzzy Clustering with FCM Algorithm and T-Norm
4 Classification Methodology
4.1 Ensemble AdaBoost
4.2 Ensemble Subspace k- Nearest-Neighbors (Ensemble Subspace k-NN)
5 Experimental Results
6 Discussion and Conclusion
References
Developing a Prescription Recognition System Based on CRAFT and Tesseract
1 Introduction
2 Related Work
2.1 Text Detection
2.2 Text Recognition
2.3 Choosen Model
3 Base Models
3.1 Character Area Perception Model for Text Detection
3.2 Tesseract OCR Model
4 Prescription Recognition System
5 Experiments and Results
5.1 Datasets
5.2 Metrics
5.3 Parameters
5.4 Process
5.5 Result
5.6 Application Software
6 Conclusion
References
Concept of Parkinson Leading to Understanding Mechanisms of the Disease
1 Introduction
2 Methods
2.1 Measured Attributes
3 Results
3.1 Rough Set Approach
4 Discussion
References
Cross-Level High-Utility Itemset Mining Using Multi-core Processing
1 Introduction
2 Related Works
3 Preliminaries
4 Proposed Algorithm
5 Experimental Evaluation
6 Conclusion and Future Works
References
Decision Combination in Classifier Committee Built on Deep Embedding Features
1 Introduction
2 Combining Class Labels
2.1 Majority Voting
2.2 Optimized Weighted Voting
2.3 Soft Voting
2.4 Ranked Voting
3 The Algorithm
3.1 Embedding Action Features Using CAE and Multi-channel, Temporal CNN
3.2 DTW-Based Action Features
3.3 Embedding Actions Using Neural Network Consisting of TimeDistributed and LSTM Layers
3.4 Multi-class Classifiers to Construct Classifier Committee
3.5 Classifier Committee
4 Experimental Results
5 Conclusions
References
Deep Learning with Optimization Techniques for the Classification of Spoken English Digit
1 Introduction
1.1 Background
2 Related Work
3 Methods and Techniques
3.1 Pre-processing the Dataset
3.2 One Hot Encoding Technique
3.3 Adam Optimization Algorithm
3.4 The Proposed Network Architecture
3.5 Experiments
3.6 Algorithm for the Proposed Model
4 Results and Discussion
5 Conclusion
References
An Implementation of Formal Framework for Collective Systems in Air Pollution Prediction System
1 Introduction
2 Related Works
3 System Overview
4 Experiment
5 Conclusions
References
Computer Vision Techniques
Ensembles of Deep Convolutional Neural Networks for Detecting Melanoma in Dermoscopy Images
1 Introduction
2 Related Work
3 Materials and Methods
3.1 The ISIC Archive
3.2 Methodology
4 Experiments and Results
5 Visualizations and Explainability
6 Discussion and Conclusion
References
Deep Learning Models for Architectural Façade Detection in Spherical Images
1 Introduction
2 Method for Constructing Deep Learning Models
3 Measures to Evaluate Deep Learning Models
4 The Analysis of Façade Instance Detection Results
5 The Analysis of Façade Segmentation Results
6 Conclusion
References
Ensemble of Convolution Neural Networks for Automatic Tuberculosis Classification
1 Introduction
2 Proposed Methodology
2.1 Image Pre-processing
2.2 Building Ensemble of CNN
3 Results
4 Discussion
5 Conclusion
References
An Improved Forecasting Model from Satellite Imagery Based on Optimum Wavelet Bases and Adam Optimized LSTM Methods
1 Introduction
2 Related Works
3 Improved Wavelet Long-Short Term Memory Approach (I-WT-LSTM)
3.1 Multi-resolution Analysis Wavelet Transform (MRA-WT)
3.2 Selection Optimal MW:
3.3 Long-Short Term Memory Model (LSTM)
4 Experimental Results
4.1 Study Area and Dataset
4.2 Results and Discussion
5 Conclusion
References
Fast Imaging Sensor Identification
1 Introduction
2 Related Work
3 Imaging Sensor Identification
3.1 State-of-the-Art Algorithms
3.2 Proposed Approach
4 Experimental Evaluation
4.1 MSE-DSI Algorithm for Digital Camera Identification
4.2 MSE-DSI Algorithm for Flatbed Scanner Identification
5 Conclusions and Future Work
References
Semantic Segmentation of Small Region of Interest for Agricultural Research Applications
1 Introduction
2 Materials and Methods
3 Experimental Results
4 Conclusion
References
Severity Assessment of Facial Acne
1 Introduction
2 Background and Related Works
2.1 Object Detection
2.2 Hand-Crafted Feature Learning
2.3 Deep Feature Learning
2.4 Label Distribution Learning
3 Methods
3.1 Face's Acne Severity Assessment Approach
3.2 Skin Patches' Acne Severity Assessment Approach
4 Experiments and Results
4.1 Dataset and Evaluation Metrics
4.2 Experimental Setup
4.3 Two Approaches' Results
4.4 Further Experimental Results
5 Conclusion
5.1 Results
5.2 Future Works
References
Processing and Visualizing the 3D Models in Digital Heritage
1 Introduction
2 Related Works
2.1 Selected VR Framework
2.2 Selected Headset
2.3 Selected AR SDK
3 Our Proposed Method
3.1 Overview
3.2 Workflow for VR
3.3 Workflow for AR
4 Implementation and Results
4.1 Data Acquisition and Processing
4.2 Building a VR Application
4.3 Building an AR Application
5 Discussion and Evaluation
5.1 Data Acquisition by Photogrammetry
5.2 Disadvantages of Unity 3D
5.3 Disadvantage of Vuforia SDK
5.4 Comparing to Other 3D Museums
6 Conclusion and Future Work
References
Natural Language Processing
Morphology Model and Segmentation for Old Turkic Language
1 Introduction
2 Related Works
3 General Characteristics of Old Turkic Language
4 Development of CSE-model of Old Turkic Language
5 Stemming and Morphological Segmentation of Old Turkic Language
6 Experiments and Results
7 Conclusion and Future Works
References
Universal Programs for Stemming, Segmentation, Morphological Analysis of Turkic Words
1 Introduction
2 Related Works
3 CSE-Model on Example of the Kazakh Language
4 Stemming Algorithm with Stop-Words Lexicon and Stems-Lexicon on the CSE-Model
5 Universal Algorithm and Program for Morphological Segmentation on the Example of Kazakh
6 Universal Algorithm and Program for Morphological Analysis on Example of Kazakh Words
7 Experimental Results and Analysis
8 Conclusion and Future Works
References
Establishing the Informational Requirements for Modelling Open Domain Dialogue and Prototyping a Retrieval Open Domain Dialogue System
1 Introduction
2 Linguistic Reasoning
2.1 Language and Grammar
2.2 Linguistic Reasoning and Cognitive Science
2.3 Informational Attributes of Language
3 Related Work in Open Domain Dialogue Modelling
3.1 Dialogue Representation
3.2 Dialogue Response Formation
4 Hypotheses Development
4.1 Preservation of Informational Atomicity
4.2 Modelling Dialogue as Semantics, not Ontologies
4.3 The Role of Distant Semantic Features
5 Methodology
5.1 Dialogue Representation
5.2 Response Formation
5.3 Response Evaluation
6 Results
7 Discussion of Performance
7.1 Future Work
8 Conclusion
References
Estimating Semantics Distance of Texts Based on Used Terms Analysis
1 Introduction
2 Related Works
3 The Description of Semantic Distance Calculation
3.1 S1 - The Identification of Text Properties and Metrics
3.2 S2 - Calculation of Text Properties and Metrics
3.3 S2 - Calculation of Semantic Distance
4 Conclusions
References
Internet of Things: Technologies and Applications
AI Threat Detection and Response on Smart Networks
1 Introduction
2 Anomaly Detection
3 The Proposed Anomaly Detection Methodology
3.1 Description of the Dataset
4 The Proposed Intelligent AnomaTS Algorithm
5 Running and Testing the AnomaTS Algorithm
6 Conclusions
References
A Resource-Aware Method for Parallel D2D Data Streaming
1 Introduction
2 Related Work
3 Modules for Data Streaming
4 Resource-Aware Parallel Data Streaming Method
5 Experimental Setup
6 Experimental Results
7 Conclusion and Future Work
References
Impact of Radio Map on the Performance of Fingerprinting Algorithms
1 Introduction
2 Fingerprinting Localization
2.1 Deterministic NN Fingerprinting Algorithms
2.2 Rank Based Fingerprinting
3 Dynamic Radio Map
4 Experiments and Achieved Results
5 Conclusion
References
The Adaptive Calibration Method for Single-Beam Distance Sensors
1 Introduction
2 A Single-Beam Distance Sensors
3 Calibration Methods
4 Experiment
5 Conclusions
References
Internet of Things and Computational Technologies for Collective Intelligence
Application of Traditional Machine Learning Models to Detect Abnormal Traffic in the Internet of Things Networks
1 Introduction
2 Problem Definition
3 Related Works
4 Modeling of the Architecture for Detecting Abnormal Traffic
5 Results
6 Discussion and Conclusion
References
Algorithmic Approach to Building a Route for the Removal of Household Waste with Associated Additional Loads in the "Smart Clean City" Project
1 Introduction
2 Project "Smart Clean City" for Development of Applications
3 Formal Statement of the Route Optimization Problem
4 Dynamic Algorithm for Finding Ways with Additional Loading of Passing Cargo
5 Discussions and Conclusions
References
Autonomic Nervous System Assessment Based on HRV Analysis During Virtual Reality Serious Games
1 Introduction
2 Physiological Signals Assessment During Exergaming
3 Materials and Methods
3.1 Procedures and Participants
3.2 Virtual Reality Rehabilitation Serious Game
3.3 Participants
3.4 Experimental Procedure
3.5 Experimental Setup
3.6 Data Analysis
4 Results and Discussion
4.1 Variance in HRV Indices During Different Intensity Levels
4.2 Variance of HR Levels During a More Complex Gameplay with Different Time Durations
4.3 Artificial Intelligence Algorithms for Game Intensity Levels Classification
5 Conclusions
References
Computational Intelligence for Multimedia Understanding
Anomaly Detection on ADS-B Flight Data Using Machine Learning Techniques
1 Introduction
2 Related Work
2.1 Distance Based Methods
2.2 Ensemble Based Methods
2.3 Statistical Methods
2.4 Angle Based Methods
2.5 Classification Based Methods
2.6 Reconstruction Based Methods
3 Methods
3.1 Proximity Based kNN Algorithm
3.2 AutoEncoder
4 Implementation Details
4.1 Data Set
4.2 Parameters and Values
5 Results
6 Conclusion
References
Detection of Monolayer Graphene
1 Introduction
2 Methodology and Proposed Algorithm
2.1 Dataset
2.2 Optical Image Segmentation Pipeline
2.3 Intensity Based Detection
3 Result and Discussion
4 Conclusion
References
Scale Input Adapted Attention for Image Denoising Using a Densely Connected U-Net: SADE-Net
1 Introduction
2 Prior Art
2.1 Image Denoising
2.2 Channel Attention
2.3 Scale Input for U-Nets
3 A Novel Network for Image Denoising: SADE-Net
4 Experimental Results
4.1 Implementation Details
4.2 Performance Comparison
5 Conclusion
References
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Computational Collective Intelligence

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