Database and Expert Systems Applications - DEXA 2022 Workshops

Name: Database and Expert Systems Applications - DEXA 2022 Workshops | 33rd International Conference, DEXA 2022, Vienna, Austria, August 22-24, 2022, Proceedings
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33rd International Conference, DEXA 2022, Vienna, Austria, August 22-24, 2022, Proceedings

Gabriele Kotsis A. Min Tjoa Ismail Khalil Bernhard Moser Alfred Taudes Atif Mashkoor Johannes Sametinger Jorge Martinez-Gil Florian Sobieczky Lukas Fischer Rudolf Ramler Maqbool Khan Gerald Czech(Editor)

Springer (Publisher)

Published on 15. August 2022

XVI, 434 pages

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978-3-031-14343-4 (ISBN)

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Content

Intro
Preface
Organization
Contents
AI System Engineering: Math, Modelling and Software
Unboundedness of Linear Regions of Deep ReLU Neural Networks
1 Introduction
2 Preliminaries
3 Representation and Analysis via Code Space
4 Experiments
5 Outlook and Future Work
References
Applying Time-Inhomogeneous Markov Chains to Math Performance Rating
1 Introduction
1.1 The Story Behind - Origins of the Use Case
1.2 An Adaptive Mobile App for Math Training
2 Ranking Based on the Elo System
2.1 Automated Estimation of Skill and Difficulty as a Problem-Solving Match Between Learner and Exercise
2.2 Time-inhomogeneous Markov Chains
3 Data and Experiment
4 Analysis and Results
5 Conclusions - Practical Use of the Ranking System
References
A Comparative Analysis of Anomaly Detection Methods for Predictive Maintenance in SME
1 Introduction
1.1 Anomaly Detection Techniques:
2 Literature Review
3 Methodology
3.1 Data
3.2 Model Description
3.3 Test Description
4 Results
4.1 Performance Comparison
5 Conclusion
References
A Comparative Study Between Rule-Based and Transformer-Based Election Prediction Approaches: 2020 US Presidential Election as a Use Case
1 Introduction
2 Related Work
3 Methodology
3.1 Data Collection
3.2 Pre-processing and Filtering
3.3 Sentiment Analysis
3.4 Vote-Share
4 Results and Discussion
4.1 Sentiment Analysis
4.2 Vote-Share
5 Conclusion
References
Detection of the 3D Ground Plane from 2D Images for Distance Measurement to the Ground
1 Introduction
2 Related Work
2.1 Depth Estimation
2.2 Plane Detection
3 Extraction of 3D Ground Plane Equation from RGB Images
3.1 Depth Estimation
3.2 3D Ground Plane Detection
4 Experiments and Results
4.1 3D Ground Plane Detection from RGB Images (Entire Workflow)
4.2 3D Ground Plane Detection from Groundtruth Depth Maps (Intermediate Workflow)
4.3 Influence of Bounding Point Selection on Ground Plane Detection
5 Conclusion and Outlook
References
Towards Practical Secure Privacy-Preserving Machine (Deep) Learning with Distributed Data
1 Introduction
1.1 The State-of-Art
1.2 Requirements for a Practical Secure Privacy-Preserving Machine Learning
2 Proposed Methodology
3 A Biomedical Application Example
4 Concluding Remarks
References
Applied Research, Technology Transfer and Knowledge Exchange in Software and Data Science
Collaborative Aspects of Solving Rail-Track Multi-sensor Data Fusion
1 Introduction
2 Problem Statement
3 Collaborative Problem Solving Approach
3.1 Roles and Competences
3.2 Collaborative Development of a Calibration Object
3.3 Feedback-driven, Iterative Data Recording
3.4 Project Results
4 Knowledge Buildup and Transfer
5 Insights Gained Within the Project
5.1 Avoiding Cross-Source Registration by Using a Reference Dataset
5.2 Generating Datasets Serving for Point Cloud Segmentation Model Training
5.3 Collaborative Problem Solving Approach
References
From Data to Decisions - Developing Data Analytics Use-Cases in Process Industry
1 Introduction
2 Use Case Description - Project Vision
3 Workflow for a Digitalization Process
3.1 Project Outline - Definition of Project Vision, Project Goals and Use Cases
3.2 Data Analytics Infrastructure - Building Up, Data Management and Preparation
3.3 Data Analysis - Development of Data-Driven Approaches and Exploitation of Analysis Results
4 Discussion and Conclusion
References
Challenges in Mass Flow Estimation on Conveyor Belts in the Mining Industry: A Case Study
1 Introduction
2 Related Work
3 Case Study
3.1 Initial System Design
3.2 New Design
3.3 Data Aquisition
4 Mass Flow Estimation Model and Results
5 Discussion
5.1 Challenges
5.2 Academia-Industry Collaboration
6 Conclusions
References
A Table Extraction Solution for Financial Spreading
1 Introduction
2 Related Work
2.1 Table Extraction Technologies
2.2 Quality Evaluation Methods
3 Table Extraction for Financial Spreading
3.1 Extraction Pipeline for Financial Spreading
3.2 How to Identify Financial Tables
3.3 How to Extract a Table from a Document
4 Performance Evaluation
4.1 Evaluation Measure
4.2 Evaluation Method
4.3 Datasets
4.4 Results and Discussion
5 Conclusions and Perspectives
References
Synthetic Data in Automatic Number Plate Recognition
1 Introduction
2 Methodology
2.1 Automatic Number Plate Recognition
2.2 Use Cases
3 Outlook
4 Collaboration and Knowledge Transfer
References
An Untold Tale of Scientific Collaboration: SCCH and AC2T
1 Introduction
2 Involved Partners
2.1 SCCH
2.2 AC2T
2.3 History of the Collaboration
3 Discussion on the Projects
3.1 Proj N.1: Online Change Point Detection in RIC/Wear Progress
3.2 Proj N.2: Feature Detection via Transfer Learning
4 Quality of the Collaboration
5 Conclusion
References
On the Creation and Maintenance of a Documentation Generator in an Applied Research Context
1 Introduction
2 Context
2.1 Research Context
2.2 Industry Context
2.3 Documentation Generator - ReDoc
3 Project Phases
3.1 Prototyping
3.2 Development
3.3 Maintenance
4 Observations and Insights
4.1 Prototyping
4.2 Development
4.3 Maintenance
5 Conclusion
References
Towards the Digitalization of Additive Manufacturing
1 Introduction
2 Problem Definition
3 Methodology
3.1 Digitalization of the AM Data Chain
3.2 Digitalization of the AM Process Data
4 Dataset
5 Conclusion
References
Twenty Years of Successful Translational Research: A Case Study of Three COMET Centers
1 Motivation
2 The COMET Program
3 The Three Centers
4 Factors for Successful Translational Research Within the COMET Framework
4.1 Initiating Successful Industry Collaborations
4.2 Maintaining Long Term Relationships with Industry Partners
4.3 Teaming Up with Academia
4.4 Conducting Knowledge and Technology Transfer
5 Conclusion
References
Data Integration, Management, and Quality: From Basic Research to Industrial Application
1 Introduction
2 Industrial Use Cases
2.1 UC1 - Data Integration for Discrete Manufacturing
2.2 UC2 - Data Integration for Continuous Manufacturing
2.3 UC3 - Missing and Outlying Data in Steel Production
2.4 UC4 - Metadata Management for Manufacturing
3 Knowledge Transfer: Methods and Tools to Solve Data Challenges
3.1 Project Initialization: Ask the Right Questions
3.2 Methods and Tools to Address Data Integration
3.3 Methods and Tools to Address Data Quality
3.4 Methods and Tools to Address Metadata Management
4 Lessons Learned
4.1 Awareness for Different Types of Data Assets
4.2 Distinction Between Data Quality, Product Quality, and Outliers
4.3 Determination of the Correct Level of Metadata Management
4.4 Consideration of Process-Related Uncertainty
4.5 Use a Feature Store for Feature Engineering
5 Conclusion and Future Work
References
Building a YouTube Channel for Science Communication
1 Introduction
2 Background and Related Work
2.1 Knowledge Transfer and Traditional Ways of Sharing Knowledge in Our Research Project
2.2 Videos and YouTube as a Way of Doing Science Communication
3 First Steps Regarding Videos and Streaming
3.1 Objective
3.2 Idea
3.3 Implementation
4 Experiences Regarding Videos and Streaming
4.1 Lessons Learned on Hardware
4.2 Lessons Learned on Style and Content
4.3 Analysis of the Current Video Content
5 Summary and Conclusion
References
Introduction of Visual Regression Testing in Collaboration Between Industry and Academia
1 Introduction
2 Background
3 Approach
3.1 Step 1: Identify Potential Improvement Areas Based on Industry Needs
3.2 Step 2: Formulate a Research Agenda
3.3 Step 3: Formulate a Candidate Solution
3.4 Step 4: Conduct Lab Validation
3.5 Step 5: Perform Static Validation
3.6 Step 6: Perform Dynamic Validation
3.7 Step 7: Release the Solution
4 Results
4.1 Challenges
4.2 Success Factors
5 Conclusion
References
Vibration Analysis for Rotatory Elements Wear Detection in Paper Mill Machine
1 Introduction
2 Related Work
2.1 Vibration Analysis in Industry
3 Methodology
3.1 General Approach for Analyzing Anomalous Severity Values
4 Case Study
4.1 Data
4.2 Variables
4.3 Training
4.4 Results
5 Conclusions
References
Introducing Data Science Techniques into a Company Producing Electrical Appliances
1 Introduction
2 State of the Art
3 Case Study
3.1 Context
3.2 Collaboration Approach
3.3 Finding an Objective
3.4 Data Selection and Preprocessing
3.5 Model Training and Visualization
4 Results and Discussion
4.1 Outcome of the Collaboration
4.2 Collaboration Process
4.3 Lessons Learned
5 Conclusion
References
A Technology Transfer Portal to Promote Industry-Academia Collaboration in South-Tyrol
1 Introduction
2 Smart Data Factory
3 State of the Art
4 The Technology Transfer Portal of the SDF
4.1 Requirements
4.2 Implementation
5 Evaluation
6 Conclusion and Future Developments
References
Fast and Automatic Object Registration for Human-Robot Collaboration in Industrial Manufacturing
1 Introduction
2 Use Case
3 Model and Training Workflow
3.1 Model Architecture
3.2 Data and Training Procedure
4 Inference on FPGA
5 Automatic Generation of Images and Labels
6 Open World Challenge: The Objectosphere Loss
6.1 Methods
6.2 Results and Discussion
7 Summary
References
Distributed Ledgers and Related Technologies
Sending Spies as Insurance Against Bitcoin Pool Mining Block Withholding Attacks
1 Introduction
1.1 Bitcoin, Pool Mining and Block Withholding Attacks
1.2 Literature Review and Previous Approaches
1.3 Contribution of This Paper
2 Results
2.1 Model Definition
2.2 Model 1: Confirming the Miner's Dilemma
2.3 Model 2: Punishment System
2.4 Model 3: Deposit System
2.5 Model 4: Distributing the Lost Deposit
3 Conclusion
A Proof of Theorems
A.1 Proof of Theorem 1
A.2 Proof of Theorem 2
References
Risks in DeFi-Lending Protocols - An Exploratory Categorization and Analysis of Interest Rate Differences
1 Introduction
2 DeFi-Lending Protocols
2.1 Key Concepts and Components
2.2 DeFi-Lending Process
2.3 Risk Factors in DeFi-Lending
3 Methodology
3.1 Framework Development
3.2 Multiple Case Study
4 Results
4.1 DeFi-Risk Framework
4.2 Observations on DeFi Risk Categories
5 Conclusion
References
Battling the Bullwhip Effect with Cryptography
1 Introduction
2 Literature Review
3 Modelling Approach
3.1 Basic Model
3.2 Considered Policies
3.3 Model Implementation
4 Case Study and Results
5 Conclusion
References
Reporting of Cross-Border Transactions for Tax Purposes via DLT
1 Introduction
2 Aim and Concept
2.1 State of Existing EOI System
2.2 State of the Distributed Ledger Technology
3 Implementation of Blockchain in the EOI System (POC)
3.1 Processing Invoices
3.2 Implications of Blockchain in the EOI System
4 Conclusion
References
Securing File System Integrity and Version History Via Directory Merkle Trees and Blockchains
1 Introduction
2 Towards a Verifiable Versioned Archive
2.1 Directory Merkle Tree
2.2 Versioning
2.3 The Archiving Process
2.4 The Verification Process
2.5 Performance Evaluation
3 Discussion and Related Work
4 Conclusion and Future Work
References
Taxation of Blockchain Staking Rewards: Propositions Based on a Comparative Legal Analysis
1 Introduction
2 Proof-of-Stake Consensus Algorithms
3 Comparative Legal Analysis
3.1 Germany
3.2 Austria
3.3 Switzerland
4 Propositions
4.1 Proposition 1: Staking Should Only Qualify as a Business Activity Under Clearly Defined and Restrictive Circumstances
4.2 Proposition 2: Staking Rewards Should Not Be Taxed Upon Receipt If They Do Not Originate from a Main Business Activity
4.3 Proposition 3: Staking Rewards Should Be Taxed Upon Disposal
4.4 Proposition 4: Staking Should Not Cause Further Tax Consequences for Staked Coins
5 Conclusion
References
Comparison Framework for Blockchain Interoperability Implementations
1 Introduction
2 Background
3 Methods and Data Sources
4 Results
4.1 Identified BCI Implementations
4.2 Comparison Framework for BCI Implementations
4.3 Assessment of Identified BCI Implementations
5 Discussion
6 Limitations
7 Future Work
8 Conclusion
References
Cyber-security and Functional Safety in Cyber-physical Systems
Towards Strategies for Secure Data Transfer of IoT Devices with Limited Resources
1 Introduction
2 Internet of Things
2.1 Resources Management
2.2 Security
3 Problem and Motivation
4 Approach
5 Case Study Design
6 Conclusion
References
Application of Validation Obligations to Security Concerns
1 Introduction
2 The Event-B Method
3 Validation Obligations
4 Application of VOs to Security Concerns
4.1 Illustrative Example
4.2 Formal Model
4.3 Ensuring Soundness and Conflict Freeness of Requirements
4.4 Creating Views
5 Related Work
6 Conclusion and Future Work
References
Mode Switching for Secure Edge Devices
1 Introduction
2 Mode Switching
3 Securing Edge Devices
4 Edge Device Modes
4.1 Implementation
4.2 Fail2ban Sample Scenario
5 Automation
6 Discussion
7 Limitations
8 Conclusion
References
Machine Learning and Knowledge Graphs
A Lifecycle Framework for Semantic Web Machine Learning Systems
1 Introduction
2 Related Work
2.1 Machine Learning Lifecycles
2.2 Semantic Web Lifecycles
3 SWeMLS Lifecycle Framework
3.1 Scope of Framework
3.2 ML Lifecycle
3.3 SW Lifecycle
4 Case Study
5 Conclusion
References
Enhancing TransE to Predict Process Behavior in Temporal Knowledge Graphs
1 Introduction
2 Method: Enhance TransE to Predict Process Behavior
3 Experiments and Results
4 Conclusion and Outlook
References
An Explainable Multimodal Fusion Approach for Mass Casualty Incidents
1 Introduction
2 Background and Related Work
3 Methodology
4 Conclusion and Future Work
References
Time Ordered Data
Log File Anomaly Detection Based on Process Mining Graphs
1 Introduction
1.1 Discussion on Existing Approaches and Related Work
2 Methods
2.1 Preparation of Event-Logs
2.2 Spectral Gap Calculation Using Event-Logs
3 Experiments and Discussion
3.1 Event-Logs Structure
3.2 Experimental Setup and Evaluation
3.3 Discussion
4 Discussion and Conclusion
References
A Scalable Microservice Infrastructure for Fleet Data Management
1 Introduction
1.1 Problem Statement
1.2 Related Work
2 Method
2.1 Dataset
2.2 Infrastructure
2.3 RouteAggregator
2.4 DataRetriever
2.5 Motorpool
3 Evaluation
4 Discussion
5 Outlook
References
Learning Entropy: On Shannon vs. Machine-Learning-Based Information in Time Series
1 Introduction
2 Probabilistic vs. Learning-Based Information
3 LE for Multichannel Data
4 Approaches for Comparison
5 Experimental Analysis
6 Conclusions
Appendix
References
Using Property Graphs to Segment Time-Series Data
1 Introduction
2 Background Study
3 Our Approach
4 Use Case
5 Discussion and Outlook
6 Conclusion
References
A Synthetic Dataset for Anomaly Detection of Machine Behavior
1 Introduction
2 Existing Datasets
3 Method
3.1 Setup
3.2 Workflow Deviations
3.3 Dataset Generation Workflow
4 Conclusion
References
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Database and Expert Systems Applications - DEXA 2022 Workshops

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