Database and Expert Systems Applications - DEXA 2022 Workshops : 33rd International Conference, DEXA 2022, Vienna, Austria, August 22-24, 2022, Proceedings.
Gabriele. Kotsis
Bok Engelsk 2022 · Electronic books.
| Omfang | 1 online resource (441 pages)
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| Opplysninger | 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.. - 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 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.. - 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.. - 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.. - 5 Evaluation.
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| ISBN | 9783031143434
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