The series "Advances in Intelligent Systems and Computing" contains publications on theory, applications, and design methods of Intelligent Systems and Intelligent Computing. Virtually all disciplines such as engineering, natural sciences, computer and information science, ICT, economics, business, e-commerce, environment, healthcare, life science are covered. The list of topics spans all the areas of modern intelligent systems and computing such as: computational intelligence, soft computing including neural networks, fuzzy systems, evolutionary computing and the fusion of these paradigms, social intelligence, ambient intelligence, computational neuroscience, artificial life, virtual worlds and society, cognitive science and systems, Perception and Vision, DNA and immune based systems, self-organizing and adaptive systems, e-Learning and teaching, human-centered and human-centric computing, recommender systems, intelligent control, robotics and mechatronics including human-machine teaming, knowledge-based paradigms, learning paradigms, machine ethics, intelligent data analysis, knowledge management, intelligent agents, intelligent decision making and support, intelligent network security, trust management, interactive entertainment, Web intelligence and multimedia.The publications within "Advances in Intelligent Systems and Computing" are primarily proceedings of important conferences, symposia and congresses. They cover significant recent developments in the field, both of a foundational and applicable character. An important characteristic feature of the series is the short publication time and world-wide distribution. This permits a rapid and broad dissemination of research results.

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TOWARDS DIGITAL INTELLIGENCE SOCIETY : a knowledge based approach

Ján Paralič; Peter Sinčák; Pitoyo Hartono; Vladimír Mařík

Paralič, Ján; Sinčák, Peter; Hartono, Pitoyo; Mařík, Vladimír

Jan Paralic, Peter Sinčák, Pitoyo Hartono, Vladimir Mařík

Ján Paralič; Peter Sinc̆ák; Pitoyo Hartono; V Mařík

Springer International Publishing : Imprint: Springer

Springer International Publishing AG

Springer Nature Switzerland AG

Advances in intelligent systems and computing (Internet), 1st ed. 2021, Cham, 2021

Advances in intelligent systems and computing, volume 1281, Cham, 2021

Springer Nature, Cham, 2020

Switzerland, Switzerland

1st ed. 2021, 2020

eBook

RU-board

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Preface
Organization
Program Chairs
Program Committee
Contents
Digital Intelligence: Selected Research Challenges
Addressing False Information and Abusive Language in Digital Space Using Intelligent Approaches
1 Introduction
2 False Information
2.1 Definitions and Categorisation
2.2 State-of-the-Art Solutions, Challenges, and Open Problems
2.3 Characterisation of Fake News by Their Hyperlink Network
2.4 Detection of Fake News with Deep Learning
2.5 Detection of Users Susceptible to Spread Fake News
2.6 Detection of Fake Reviews
3 Abusive Language
3.1 Definitions and Categorisation
3.2 State-of-the-Art Solutions, Challenges, and Open Problems
3.3 Detection of Abusive Language with Deep Learning
4 Application for Web Content Credibility Assessment
4.1 Related Work
4.2 Methodology and Features Extraction
4.3 Preliminary Results
5 Discussion and Conclusions
References
Application and Perspectives of Convolutional Neural Networks in Digital Intelligence
1 Introduction
2 Convolutional Neural Networks
3 2D/3D Object Classification
3.1 2D Classification
3.2 3D Classification
4 Image Segmentation
4.1 Semantic Segmentation
4.2 Instance Segmentation
4.3 Advanced Modifications for Feature Extraction
5 Reinforcement Learning
5.1 Reinforcement Learning in Computer Games
5.2 Reinforcement Learning for Object Detection
5.3 Reinforcement Learning in Robotics
6 Few-Shot Learning
6.1 Hallucination-Based Methods
6.2 Meta-Learning
7 Explainability
7.1 Backpropagation-Based Methods
7.2 Perturbation-Based Methods
8 Conclusion
References
Obstacle Awareness Subsystem for Higher Exoskeleton Safety
1 Introduction
2 Exoskeletons
3 Obstacle Detection
3.1 Design
3.2 Implementation
4 Results
4.1 Testing the Depth Camera
4.2 Testing the LIDAR Module
4.3 Testing the Up2
5 Conclusion
References
Intelligent Analysis of Big Data
Knowledge-Based Approaches to Intelligent Data Analysis
1 Introduction
2 Semantic Modelling of Data Analytics Processes
2.1 The Data Analytics Processes
2.2 Semantic Modelling of Data Analytical Processes
2.3 Technologies for the Semantic Description of Data-Analytical Processes
3 Semantic Framework for Modelling of Data-Analytical Processes
3.1 Doman Concepts
3.2 Key Performance Indicators and Data Elements
3.3 Algorithms and Data-Analytical Models
3.4 The Process Model for Data Analytical Workflows
4 Semantic Data Analysis Case Studies
4.1 Process Industries Use Case
4.2 Network Intrusion Detection Use Case
5 Intelligent Data Analysis in the Medical Domain
5.1 Knowledge Extraction and Use in Medical Analysis
5.2 Metabolic Syndrome Diagnostics
5.3 Cardiovascular Risk Assessment
6 Conclusions
References
Intelligent Analysis of Data Streams
1 Introduction
2 Stream Mining
3 Stream Forecasting
3.1 Power Demand Forecasting
3.2 Power Production Forecasting
4 Optimization
4.1 Optimization Process and Open Issues
4.2 Optimization Methods
4.3 Evaluation of Optimization Methods
4.4 Microgrid Optimization Problems
5 Conclusion
References
Large Astronomical Time Series Pre-processing for Classification Using Artificial Neural Networks
1 Introduction
1.1 Types of Stars Variability
2 State of the Art
2.1 Time Series Classification Methods
2.2 Other Related Work
3 Data Sets
3.1 BRITE
3.2 Kepler K2
4 Artificial Neural Networks Approaches
4.1 Data Pre-processing
5 Experiments and Results
5.1 BRITE Data Set
5.2 Kepler K2 Data Set
6 Conclusions
References
Data and Information Modelling
Requirements for Information Modelling in Manufacturing
1 Introduction
2 Requirements on Information Modelling and Information Exchange
3 Information Models and Formats for Information Exchange
3.1 Information Modeling
3.2 Formats for Information Exchange
3.3 Formats for Information Modelling
4 Demonstration
5 Discussion and Conclusions
References
Attribute Exploration in Formal Concept Analysis and Measuring of Pupils' Computational Thinking
1 Introduction
2 Attribute Exploration and Partial Attribute Implications
3 Example of Attribute Exploration
4 Measuring of Pupils' Computational Thinking
5 Conclusion
References
Flower Master Index for Relational Database Selection and Joining
1 Introduction
2 Database System Architecture, Instance
2.1 Background Processes
2.2 Physical Structures
3 Indexes
4 Removing the Impact of TAF
4.1 State of the Art
4.2 Own Proposed Solution – Flower Index on Block Granularity
4.3 Physical Implementation of the Sharedtableblockstorage Structure
4.4 Rebalancer
5 JOIN – Linking Data Across the Tables
6 Table Joining – Mapping Index
7 Performance Evaluations
7.1 Select Statement Performance
7.2 Destructive DML Statement Performance
7.3 Size Demands
7.4 Table Joining Performance
8 Conclusions
References
Author Index

This book aims to provide readers with up-to-date knowledge on how to make these technologies smarter. Humanity is now going through difficult times to fight the Covid-19 pandemic. Simultaneously, in these difficult times of physical separation, we can also realize how much digital society technology helps us cope with many difficulties that bring us this time. The authors focus on selected research challenges for intelligent digital society and state-of-the-art methods of how to face them. The book’s subtitle suggests that a core concept that the reader can study from various points of view in particular book chapters is the knowledge. The knowledge that can help us intelligently face different digital society challenges (Part I of this book); the knowledge extracted from available big data employing intelligent analysis techniques (Part II). For efficient processing and analysis of data, there is a strong need for smart data and information modeling techniques (Part III).

Advances in Intelligent Systems and Computing
Erscheinungsdatum: 22.12.2020

2021-10-29