Enterprise Information Systems: 24th International Conference, ICEIS 2022, Virtual Event, April 25-27, 2022, Revised Selected Papers
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing AG
2023
|
| Edition: | 1st ed |
| Series: | Lecture Notes in Business Information Processing Series
v.487 |
| Subjects: | |
| Online Access: | DE-2070s |
| Item Description: | Description based on publisher supplied metadata and other sources |
| Physical Description: | 1 Online-Ressource (439 Seiten) |
| ISBN: | 9783031393860 |
Staff View
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| 505 | 8 | |a Intro -- Preface -- Organization -- Contents -- Databases and Information Systems Integration -- Balancing Simplicity and Complexity in Modeling Mined Business Processes: A User Perspective -- 1 Introduction -- 2 A Methodology for Aligning Process Model Abstraction and Users of Process Models -- 3 Demonstration -- 3.1 Case Study One: Logistics in Production Facility -- 3.2 Case Study Two: Reimbursement of Travel Cost -- 3.3 Cross-Analysis of the Case Studies -- 4 Related Work -- 5 Conclusions and Future Work -- References -- A Storage Location Assignment Problem with Incompatibility and Isolation Constraints: An Iterated Local Search Approach -- 1 Introduction -- 2 Literature Review -- 3 Problem Description -- 4 Input Data Processing -- 4.1 Warehouse Input Format -- 4.2 Distance Matrix Extraction -- 5 Iterated Local Search -- 5.1 Solution Evaluation -- 6 Instance Sets -- 7 Computational Evaluation -- 8 Conclusion -- References -- Using IoT Technology for the Skilled Crafts -- 1 Introduction -- 2 Related Work -- 2.1 Technical Implementation and Existing IoT Solutions -- 2.2 Digital Platforms for the Skilled Crafts -- 3 Methodology and Approach -- 3.1 Approach -- 3.2 Identification and Evaluation of IoT Use Cases -- 3.3 IoT-Sensor Screening -- 3.4 IoT4H Platform -- 4 Preliminary Results -- 4.1 Identification of IoT Use Cases for the Skilled Crafts -- 4.2 IoT4H Platform -- 4.3 IoT Living Lab -- 5 Conclusion -- References -- Implementation Solutions for FAIR Clinical Research Data Management -- 1 Introduction -- 2 Background -- 3 A Platform for FAIR Clinical Data -- 4 The ETL4FAIR Framework -- 4.1 ETL4FAIR Overview -- 4.2 Solutions Implemented to Cover FAIRification -- 5 Cloud FAIR Data Point -- 5.1 FAIR DP Architecture -- 5.2 FAIR DP Endpoints and Pods -- 5.3 VODAN BR Cloud FAIR DP -- 6 Conclusions and Future Works -- References | |
| 505 | 8 | |a Artificial Intelligence and Decision Support Systems -- Visual Interactive Exploration and Labeling of Large Volumes of Industrial Time Series Data -- 1 Introduction -- 2 Problem Statement -- 2.1 Motivating Exemplary Use Cases -- 2.2 Labeling of a Sensor Data Set for Machine Learning Tasks -- 3 Related Work -- 4 Efficient Exploration and Labeling of Multivariate Industrial Sensor Data -- 4.1 Design Goals -- 4.2 Data Formats and Forms -- 4.3 Visualization of Large Data Sets -- 4.4 Support of Small Time Units -- 4.5 Aggregation and Adaptive Aggregation of Data for Large Query Results -- 4.6 Label Classes and Formats -- 5 Label Support System -- 5.1 Semi-automated Unsupervised Labeling Support -- 5.2 Active Learning Labeling Support -- 6 Evaluation -- 6.1 Performance -- 6.2 User Study -- 6.3 Active Learning -- 6.4 Discussion -- 7 Conclusion and Outlook -- References -- Resource Planning in Workflow Nets Based on a Symbolic Time Constraint Propagation Mechanism -- 1 Introduction -- 2 Theoretical Foundations -- 2.1 Workflow Net -- 2.2 Soundness -- 2.3 Process -- 2.4 Time Petri Net -- 2.5 Colored Petri Net -- 2.6 CPN Tools -- 2.7 Resource Allocation Mechanism -- 2.8 Linear Logic -- 2.9 Linear Logic for Soundness Verification -- 3 Time Constraint Propagation Mechanism -- 3.1 Forward Propagation -- 3.2 Backward Propagation -- 4 CPN Implementation of the Workflow Net with Resources -- 4.1 CPN Model -- 4.2 Simulation Results -- 5 Related Works -- 6 Conclusions -- References -- Implementation of the Maintenance Cost Optimization Function in Manufacturing Execution Systems -- 1 Introduction -- 2 Minimal Operating Cost for Single Spare Part -- 3 Determining the Optimal Cost of a Single Spare Part -- 3.1 Real Industrial Spare Parts -- 3.2 Spare Part Controlled by Sensors and AI System -- 4 Implementation of the Spare Part Cost Optimization Algorithm in MES. | |
| 505 | 8 | |a 5 Conclusions -- References -- Quantitative Comparison of Translation by Transformers-Based Neural Network Models -- 1 Introduction -- 2 Related Works -- 3 Analysis Methodology -- 3.1 Dataset Preparation -- 3.2 Language Detection -- 3.3 Automatic Translation -- 3.4 Translation with MS Azure Cloud -- 4 Fine-Tuning -- 4.1 Fine-Tuning on a Reduced Training Dataset -- 4.2 Fine-Tuning on the Complete Training Dataset -- 5 Conclusion and Discussion -- References -- OptiViTh: A Decision Guidance Framework and System for Design, Analysis and Optimization of Cloud-Manufactured Virtual Things -- 1 Introduction -- 2 Overview of V-Thing Framework -- 3 Mathematical Formalization of the V-Thing Framework -- 3.1 Virtual Products -- 3.2 Specs of Virtual Products -- 3.3 Virtual Services -- 3.4 Specs of Virtual Services -- 4 OptiViTh Decision Guidance System -- 4.1 Architecture Overview -- 4.2 Artifacts in the Repository -- 4.3 V-Thing Creation -- 4.4 V-Thing Optimization -- 5 Conclusions -- References -- Efficient Deep Neural Network Training Techniques for Overfitting Avoidance -- 1 Introduction -- 2 Related Works -- 3 Overfitting Machanism -- 3.1 Popular Solution for Ovefitting -- 4 Maths Behind Dropout -- 5 Experimental Results and Discussions -- 5.1 Simulation Scenario: EarlyStopping -- 5.2 Simulation Scenario: Dropout -- 6 Conclusion -- References -- Effect of Convulsion Layers and Hyper-parameters on the Behavior of Adversarial Neural Networks -- 1 Introduction -- 2 Related Works -- 3 How Are Generative Models Implemented? -- 4 Theoretical and Mathematical Basis for GAN Networks -- 4.1 Gradient Descent -- 4.2 Generator -- 4.3 Discriminator -- 4.4 Optimizing the Model -- 4.5 Cost of the GAN -- 4.6 Cost of the Generator -- 4.7 Loss Function -- 4.8 Generator Loss -- 4.9 Discriminator Loss -- 4.10 Combined Loss Functions -- 4.11 Experimental Setup -- 5 Conclusion | |
| 505 | 8 | |a References -- Information Systems Analysis and Specification -- Modelling Software Tasks for Supporting Resource-Driven Adaptation -- 1 Introduction -- 2 Related Work -- 3 Meta-model of SERIES -- 3.1 Constructs that SERIES Incorporates from CTT -- 3.2 Abstract Task -- 3.3 Application Task -- 3.4 Application Task Variant -- 4 Automated Warehouse System Example -- 4.1 Abstract Task: Prepare Order -- 4.2 Application Tasks -- 4.3 Application Task Variants for Pack Items in a Box -- 4.4 Application Task Variants for Decorate Box -- 5 Supporting Tool of SERIES -- 6 Evaluation -- 6.1 Participants -- 6.2 Design of the Study -- 6.3 Results -- 7 Conclusion and Future Work -- References -- A Critical View on the OQuaRE Ontology Quality Framework -- 1 Introduction -- 2 Inconsistent Metric Definitions of OQuaRE -- 2.1 Number of Children (NOCOnto) -- 2.2 Response for a Class (RFCOnto) -- 2.3 Relationship Richness (RROnto) -- 2.4 Properties Richness (PROnto) -- 2.5 Tangledness (TMOnto) -- 2.6 Weighted Method Count (WMCOnto) -- 2.7 Attribute Richness (AROnto) -- 3 Harmonized OQuaRE Framework -- 3.1 Metric Definitions -- 3.2 OQuaRE Quality Characteristics -- 3.3 Connecting Quality Characteristics and Metrics -- 4 Evaluation of the OQuaRE Quality Ratings -- 4.1 Previous Evaluations of and with OQuaRE -- 4.2 Metric Data Origin Methodology -- 4.3 The Distribution of OQuaRE Ratings on the Metric Dataset -- 4.4 Implications of the Quality Evaluation -- 5 Discussion and Conclusion -- References -- Successful Practices in Industry-Academy Collaboration in the Context of Software Agility: A Systematic Literature Review -- 1 Introduction -- 2 Theoretical Reference -- 2.1 Industry-Academy Collaboration (IAC) -- 2.2 Agile Software Development (ASD) -- 3 Methodology -- 4 Search Results and Discussions -- 4.1 A. (RQ1) What Challenges to the Application of IACs in ASD Were Raised? | |
| 505 | 8 | |a 4.2 B. (RQ2) What Are the Proposed Practices for Improving IAC in the Context of ASD? -- 4.3 C. (RQ3) What Types of IAC Models Have Been Proposed in the Context of ASD? -- 4.4 Correlations Between Challenges and Good Practices -- 4.5 Discussions and Threats to Validity -- 5 Conclusion -- References -- Human-Computer Interaction -- Distance Digital Learning for Adult Learners: Self-paced e-Learning on Business Information Systems -- 1 From Distance Education to Self-paced e-Learning -- 2 Design Elements of the Self-paced e-Learning Environments -- 3 Pilot and Case Studies -- 3.1 Pilot -- 3.2 Course "Modelling and Design of Business Information Systems" -- 3.3 Hands-On-Training on SAP ERP-Systems (SAP S/4 HANA) -- 3.4 Course "Business Information Systems" -- 3.5 Course "Management and Control of IT" -- 4 Research Model and Data Collection -- 5 Conclusions -- References -- Human-Computer Interaction: Ethical Perspectives on Technology and Its (Mis)uses -- 1 Introduction -- 2 The Neuralink Experiment and the Financial Power to Support Scientific Research -- 3 Treating Depression with a Deep Stimulation Device -- 4 Neuralink, Mental Illness and the Use of Human-Computer Interaction to Exert Social Control -- 5 Conclusions -- References -- Enterprise Architecture -- Meet2Map: A Framework to Support BPM Projects Implementation Collaboratively -- 1 Introduction -- 2 Methodological Approach -- 3 Background Knowledge -- 3.1 Business Process Discovering and Modeling -- 3.2 Design Principles to Foster Business Processes Discovering -- 4 Related Work -- 5 Proposal: The Meet2map Framework -- 5.1 Modeling Tool -- 5.2 Collaborative Modeling Process -- 5.3 Artifacts -- 6 Evaluation -- 6.1 Case Study 1 -- 6.2 Case Study 2 -- 7 Discussion -- 8 Conclusion -- References -- The Factors of Enterprise Business Architecture Readiness in Organisations -- 1 Introduction | |
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| contents | Intro -- Preface -- Organization -- Contents -- Databases and Information Systems Integration -- Balancing Simplicity and Complexity in Modeling Mined Business Processes: A User Perspective -- 1 Introduction -- 2 A Methodology for Aligning Process Model Abstraction and Users of Process Models -- 3 Demonstration -- 3.1 Case Study One: Logistics in Production Facility -- 3.2 Case Study Two: Reimbursement of Travel Cost -- 3.3 Cross-Analysis of the Case Studies -- 4 Related Work -- 5 Conclusions and Future Work -- References -- A Storage Location Assignment Problem with Incompatibility and Isolation Constraints: An Iterated Local Search Approach -- 1 Introduction -- 2 Literature Review -- 3 Problem Description -- 4 Input Data Processing -- 4.1 Warehouse Input Format -- 4.2 Distance Matrix Extraction -- 5 Iterated Local Search -- 5.1 Solution Evaluation -- 6 Instance Sets -- 7 Computational Evaluation -- 8 Conclusion -- References -- Using IoT Technology for the Skilled Crafts -- 1 Introduction -- 2 Related Work -- 2.1 Technical Implementation and Existing IoT Solutions -- 2.2 Digital Platforms for the Skilled Crafts -- 3 Methodology and Approach -- 3.1 Approach -- 3.2 Identification and Evaluation of IoT Use Cases -- 3.3 IoT-Sensor Screening -- 3.4 IoT4H Platform -- 4 Preliminary Results -- 4.1 Identification of IoT Use Cases for the Skilled Crafts -- 4.2 IoT4H Platform -- 4.3 IoT Living Lab -- 5 Conclusion -- References -- Implementation Solutions for FAIR Clinical Research Data Management -- 1 Introduction -- 2 Background -- 3 A Platform for FAIR Clinical Data -- 4 The ETL4FAIR Framework -- 4.1 ETL4FAIR Overview -- 4.2 Solutions Implemented to Cover FAIRification -- 5 Cloud FAIR Data Point -- 5.1 FAIR DP Architecture -- 5.2 FAIR DP Endpoints and Pods -- 5.3 VODAN BR Cloud FAIR DP -- 6 Conclusions and Future Works -- References Artificial Intelligence and Decision Support Systems -- Visual Interactive Exploration and Labeling of Large Volumes of Industrial Time Series Data -- 1 Introduction -- 2 Problem Statement -- 2.1 Motivating Exemplary Use Cases -- 2.2 Labeling of a Sensor Data Set for Machine Learning Tasks -- 3 Related Work -- 4 Efficient Exploration and Labeling of Multivariate Industrial Sensor Data -- 4.1 Design Goals -- 4.2 Data Formats and Forms -- 4.3 Visualization of Large Data Sets -- 4.4 Support of Small Time Units -- 4.5 Aggregation and Adaptive Aggregation of Data for Large Query Results -- 4.6 Label Classes and Formats -- 5 Label Support System -- 5.1 Semi-automated Unsupervised Labeling Support -- 5.2 Active Learning Labeling Support -- 6 Evaluation -- 6.1 Performance -- 6.2 User Study -- 6.3 Active Learning -- 6.4 Discussion -- 7 Conclusion and Outlook -- References -- Resource Planning in Workflow Nets Based on a Symbolic Time Constraint Propagation Mechanism -- 1 Introduction -- 2 Theoretical Foundations -- 2.1 Workflow Net -- 2.2 Soundness -- 2.3 Process -- 2.4 Time Petri Net -- 2.5 Colored Petri Net -- 2.6 CPN Tools -- 2.7 Resource Allocation Mechanism -- 2.8 Linear Logic -- 2.9 Linear Logic for Soundness Verification -- 3 Time Constraint Propagation Mechanism -- 3.1 Forward Propagation -- 3.2 Backward Propagation -- 4 CPN Implementation of the Workflow Net with Resources -- 4.1 CPN Model -- 4.2 Simulation Results -- 5 Related Works -- 6 Conclusions -- References -- Implementation of the Maintenance Cost Optimization Function in Manufacturing Execution Systems -- 1 Introduction -- 2 Minimal Operating Cost for Single Spare Part -- 3 Determining the Optimal Cost of a Single Spare Part -- 3.1 Real Industrial Spare Parts -- 3.2 Spare Part Controlled by Sensors and AI System -- 4 Implementation of the Spare Part Cost Optimization Algorithm in MES. 5 Conclusions -- References -- Quantitative Comparison of Translation by Transformers-Based Neural Network Models -- 1 Introduction -- 2 Related Works -- 3 Analysis Methodology -- 3.1 Dataset Preparation -- 3.2 Language Detection -- 3.3 Automatic Translation -- 3.4 Translation with MS Azure Cloud -- 4 Fine-Tuning -- 4.1 Fine-Tuning on a Reduced Training Dataset -- 4.2 Fine-Tuning on the Complete Training Dataset -- 5 Conclusion and Discussion -- References -- OptiViTh: A Decision Guidance Framework and System for Design, Analysis and Optimization of Cloud-Manufactured Virtual Things -- 1 Introduction -- 2 Overview of V-Thing Framework -- 3 Mathematical Formalization of the V-Thing Framework -- 3.1 Virtual Products -- 3.2 Specs of Virtual Products -- 3.3 Virtual Services -- 3.4 Specs of Virtual Services -- 4 OptiViTh Decision Guidance System -- 4.1 Architecture Overview -- 4.2 Artifacts in the Repository -- 4.3 V-Thing Creation -- 4.4 V-Thing Optimization -- 5 Conclusions -- References -- Efficient Deep Neural Network Training Techniques for Overfitting Avoidance -- 1 Introduction -- 2 Related Works -- 3 Overfitting Machanism -- 3.1 Popular Solution for Ovefitting -- 4 Maths Behind Dropout -- 5 Experimental Results and Discussions -- 5.1 Simulation Scenario: EarlyStopping -- 5.2 Simulation Scenario: Dropout -- 6 Conclusion -- References -- Effect of Convulsion Layers and Hyper-parameters on the Behavior of Adversarial Neural Networks -- 1 Introduction -- 2 Related Works -- 3 How Are Generative Models Implemented? -- 4 Theoretical and Mathematical Basis for GAN Networks -- 4.1 Gradient Descent -- 4.2 Generator -- 4.3 Discriminator -- 4.4 Optimizing the Model -- 4.5 Cost of the GAN -- 4.6 Cost of the Generator -- 4.7 Loss Function -- 4.8 Generator Loss -- 4.9 Discriminator Loss -- 4.10 Combined Loss Functions -- 4.11 Experimental Setup -- 5 Conclusion References -- Information Systems Analysis and Specification -- Modelling Software Tasks for Supporting Resource-Driven Adaptation -- 1 Introduction -- 2 Related Work -- 3 Meta-model of SERIES -- 3.1 Constructs that SERIES Incorporates from CTT -- 3.2 Abstract Task -- 3.3 Application Task -- 3.4 Application Task Variant -- 4 Automated Warehouse System Example -- 4.1 Abstract Task: Prepare Order -- 4.2 Application Tasks -- 4.3 Application Task Variants for Pack Items in a Box -- 4.4 Application Task Variants for Decorate Box -- 5 Supporting Tool of SERIES -- 6 Evaluation -- 6.1 Participants -- 6.2 Design of the Study -- 6.3 Results -- 7 Conclusion and Future Work -- References -- A Critical View on the OQuaRE Ontology Quality Framework -- 1 Introduction -- 2 Inconsistent Metric Definitions of OQuaRE -- 2.1 Number of Children (NOCOnto) -- 2.2 Response for a Class (RFCOnto) -- 2.3 Relationship Richness (RROnto) -- 2.4 Properties Richness (PROnto) -- 2.5 Tangledness (TMOnto) -- 2.6 Weighted Method Count (WMCOnto) -- 2.7 Attribute Richness (AROnto) -- 3 Harmonized OQuaRE Framework -- 3.1 Metric Definitions -- 3.2 OQuaRE Quality Characteristics -- 3.3 Connecting Quality Characteristics and Metrics -- 4 Evaluation of the OQuaRE Quality Ratings -- 4.1 Previous Evaluations of and with OQuaRE -- 4.2 Metric Data Origin Methodology -- 4.3 The Distribution of OQuaRE Ratings on the Metric Dataset -- 4.4 Implications of the Quality Evaluation -- 5 Discussion and Conclusion -- References -- Successful Practices in Industry-Academy Collaboration in the Context of Software Agility: A Systematic Literature Review -- 1 Introduction -- 2 Theoretical Reference -- 2.1 Industry-Academy Collaboration (IAC) -- 2.2 Agile Software Development (ASD) -- 3 Methodology -- 4 Search Results and Discussions -- 4.1 A. (RQ1) What Challenges to the Application of IACs in ASD Were Raised? 4.2 B. (RQ2) What Are the Proposed Practices for Improving IAC in the Context of ASD? -- 4.3 C. (RQ3) What Types of IAC Models Have Been Proposed in the Context of ASD? -- 4.4 Correlations Between Challenges and Good Practices -- 4.5 Discussions and Threats to Validity -- 5 Conclusion -- References -- Human-Computer Interaction -- Distance Digital Learning for Adult Learners: Self-paced e-Learning on Business Information Systems -- 1 From Distance Education to Self-paced e-Learning -- 2 Design Elements of the Self-paced e-Learning Environments -- 3 Pilot and Case Studies -- 3.1 Pilot -- 3.2 Course "Modelling and Design of Business Information Systems" -- 3.3 Hands-On-Training on SAP ERP-Systems (SAP S/4 HANA) -- 3.4 Course "Business Information Systems" -- 3.5 Course "Management and Control of IT" -- 4 Research Model and Data Collection -- 5 Conclusions -- References -- Human-Computer Interaction: Ethical Perspectives on Technology and Its (Mis)uses -- 1 Introduction -- 2 The Neuralink Experiment and the Financial Power to Support Scientific Research -- 3 Treating Depression with a Deep Stimulation Device -- 4 Neuralink, Mental Illness and the Use of Human-Computer Interaction to Exert Social Control -- 5 Conclusions -- References -- Enterprise Architecture -- Meet2Map: A Framework to Support BPM Projects Implementation Collaboratively -- 1 Introduction -- 2 Methodological Approach -- 3 Background Knowledge -- 3.1 Business Process Discovering and Modeling -- 3.2 Design Principles to Foster Business Processes Discovering -- 4 Related Work -- 5 Proposal: The Meet2map Framework -- 5.1 Modeling Tool -- 5.2 Collaborative Modeling Process -- 5.3 Artifacts -- 6 Evaluation -- 6.1 Case Study 1 -- 6.2 Case Study 2 -- 7 Discussion -- 8 Conclusion -- References -- The Factors of Enterprise Business Architecture Readiness in Organisations -- 1 Introduction 2 Literature Review |
| ctrlnum | (ZDB-30-PQE)EBC30668258 (ZDB-30-PAD)EBC30668258 (ZDB-89-EBL)EBL30668258 (OCoLC)1391978972 (DE-599)BVBBV049876361 |
| dewey-full | 658.4038011 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.4038011 |
| dewey-search | 658.4038011 |
| dewey-sort | 3658.4038011 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| edition | 1st ed |
| format | Electronic eBook |
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FAIR DP Architecture -- 5.2 FAIR DP Endpoints and Pods -- 5.3 VODAN BR Cloud FAIR DP -- 6 Conclusions and Future Works -- References</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Artificial Intelligence and Decision Support Systems -- Visual Interactive Exploration and Labeling of Large Volumes of Industrial Time Series Data -- 1 Introduction -- 2 Problem Statement -- 2.1 Motivating Exemplary Use Cases -- 2.2 Labeling of a Sensor Data Set for Machine Learning Tasks -- 3 Related Work -- 4 Efficient Exploration and Labeling of Multivariate Industrial Sensor Data -- 4.1 Design Goals -- 4.2 Data Formats and Forms -- 4.3 Visualization of Large Data Sets -- 4.4 Support of Small Time Units -- 4.5 Aggregation and Adaptive Aggregation of Data for Large Query Results -- 4.6 Label Classes and Formats -- 5 Label Support System -- 5.1 Semi-automated Unsupervised Labeling Support -- 5.2 Active Learning Labeling Support -- 6 Evaluation -- 6.1 Performance -- 6.2 User Study -- 6.3 Active Learning -- 6.4 Discussion -- 7 Conclusion and Outlook -- References -- Resource Planning in Workflow Nets Based on a Symbolic Time Constraint Propagation Mechanism -- 1 Introduction -- 2 Theoretical Foundations -- 2.1 Workflow Net -- 2.2 Soundness -- 2.3 Process -- 2.4 Time Petri Net -- 2.5 Colored Petri Net -- 2.6 CPN Tools -- 2.7 Resource Allocation Mechanism -- 2.8 Linear Logic -- 2.9 Linear Logic for Soundness Verification -- 3 Time Constraint Propagation Mechanism -- 3.1 Forward Propagation -- 3.2 Backward Propagation -- 4 CPN Implementation of the Workflow Net with Resources -- 4.1 CPN Model -- 4.2 Simulation Results -- 5 Related Works -- 6 Conclusions -- References -- Implementation of the Maintenance Cost Optimization Function in Manufacturing Execution Systems -- 1 Introduction -- 2 Minimal Operating Cost for Single Spare Part -- 3 Determining the Optimal Cost of a Single Spare Part -- 3.1 Real Industrial Spare Parts -- 3.2 Spare Part Controlled by Sensors and AI System -- 4 Implementation of the Spare Part Cost Optimization Algorithm in MES.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">5 Conclusions -- References -- Quantitative Comparison of Translation by Transformers-Based Neural Network Models -- 1 Introduction -- 2 Related Works -- 3 Analysis Methodology -- 3.1 Dataset Preparation -- 3.2 Language Detection -- 3.3 Automatic Translation -- 3.4 Translation with MS Azure Cloud -- 4 Fine-Tuning -- 4.1 Fine-Tuning on a Reduced Training Dataset -- 4.2 Fine-Tuning on the Complete Training Dataset -- 5 Conclusion and Discussion -- References -- OptiViTh: A Decision Guidance Framework and System for Design, Analysis and Optimization of Cloud-Manufactured Virtual Things -- 1 Introduction -- 2 Overview of V-Thing Framework -- 3 Mathematical Formalization of the V-Thing Framework -- 3.1 Virtual Products -- 3.2 Specs of Virtual Products -- 3.3 Virtual Services -- 3.4 Specs of Virtual Services -- 4 OptiViTh Decision Guidance System -- 4.1 Architecture Overview -- 4.2 Artifacts in the Repository -- 4.3 V-Thing Creation -- 4.4 V-Thing Optimization -- 5 Conclusions -- References -- Efficient Deep Neural Network Training Techniques for Overfitting Avoidance -- 1 Introduction -- 2 Related Works -- 3 Overfitting Machanism -- 3.1 Popular Solution for Ovefitting -- 4 Maths Behind Dropout -- 5 Experimental Results and Discussions -- 5.1 Simulation Scenario: EarlyStopping -- 5.2 Simulation Scenario: Dropout -- 6 Conclusion -- References -- Effect of Convulsion Layers and Hyper-parameters on the Behavior of Adversarial Neural Networks -- 1 Introduction -- 2 Related Works -- 3 How Are Generative Models Implemented? -- 4 Theoretical and Mathematical Basis for GAN Networks -- 4.1 Gradient Descent -- 4.2 Generator -- 4.3 Discriminator -- 4.4 Optimizing the Model -- 4.5 Cost of the GAN -- 4.6 Cost of the Generator -- 4.7 Loss Function -- 4.8 Generator Loss -- 4.9 Discriminator Loss -- 4.10 Combined Loss Functions -- 4.11 Experimental Setup -- 5 Conclusion</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">References -- Information Systems Analysis and Specification -- Modelling Software Tasks for Supporting Resource-Driven Adaptation -- 1 Introduction -- 2 Related Work -- 3 Meta-model of SERIES -- 3.1 Constructs that SERIES Incorporates from CTT -- 3.2 Abstract Task -- 3.3 Application Task -- 3.4 Application Task Variant -- 4 Automated Warehouse System Example -- 4.1 Abstract Task: Prepare Order -- 4.2 Application Tasks -- 4.3 Application Task Variants for Pack Items in a Box -- 4.4 Application Task Variants for Decorate Box -- 5 Supporting Tool of SERIES -- 6 Evaluation -- 6.1 Participants -- 6.2 Design of the Study -- 6.3 Results -- 7 Conclusion and Future Work -- References -- A Critical View on the OQuaRE Ontology Quality Framework -- 1 Introduction -- 2 Inconsistent Metric Definitions of OQuaRE -- 2.1 Number of Children (NOCOnto) -- 2.2 Response for a Class (RFCOnto) -- 2.3 Relationship Richness (RROnto) -- 2.4 Properties Richness (PROnto) -- 2.5 Tangledness (TMOnto) -- 2.6 Weighted Method Count (WMCOnto) -- 2.7 Attribute Richness (AROnto) -- 3 Harmonized OQuaRE Framework -- 3.1 Metric Definitions -- 3.2 OQuaRE Quality Characteristics -- 3.3 Connecting Quality Characteristics and Metrics -- 4 Evaluation of the OQuaRE Quality Ratings -- 4.1 Previous Evaluations of and with OQuaRE -- 4.2 Metric Data Origin Methodology -- 4.3 The Distribution of OQuaRE Ratings on the Metric Dataset -- 4.4 Implications of the Quality Evaluation -- 5 Discussion and Conclusion -- References -- Successful Practices in Industry-Academy Collaboration in the Context of Software Agility: A Systematic Literature Review -- 1 Introduction -- 2 Theoretical Reference -- 2.1 Industry-Academy Collaboration (IAC) -- 2.2 Agile Software Development (ASD) -- 3 Methodology -- 4 Search Results and Discussions -- 4.1 A. (RQ1) What Challenges to the Application of IACs in ASD Were Raised?</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">4.2 B. (RQ2) What Are the Proposed Practices for Improving IAC in the Context of ASD? -- 4.3 C. (RQ3) What Types of IAC Models Have Been Proposed in the Context of ASD? -- 4.4 Correlations Between Challenges and Good Practices -- 4.5 Discussions and Threats to Validity -- 5 Conclusion -- References -- Human-Computer Interaction -- Distance Digital Learning for Adult Learners: Self-paced e-Learning on Business Information Systems -- 1 From Distance Education to Self-paced e-Learning -- 2 Design Elements of the Self-paced e-Learning Environments -- 3 Pilot and Case Studies -- 3.1 Pilot -- 3.2 Course "Modelling and Design of Business Information Systems" -- 3.3 Hands-On-Training on SAP ERP-Systems (SAP S/4 HANA) -- 3.4 Course "Business Information Systems" -- 3.5 Course "Management and Control of IT" -- 4 Research Model and Data Collection -- 5 Conclusions -- References -- Human-Computer Interaction: Ethical Perspectives on Technology and Its (Mis)uses -- 1 Introduction -- 2 The Neuralink Experiment and the Financial Power to Support Scientific Research -- 3 Treating Depression with a Deep Stimulation Device -- 4 Neuralink, Mental Illness and the Use of Human-Computer Interaction to Exert Social Control -- 5 Conclusions -- References -- Enterprise Architecture -- Meet2Map: A Framework to Support BPM Projects Implementation Collaboratively -- 1 Introduction -- 2 Methodological Approach -- 3 Background Knowledge -- 3.1 Business Process Discovering and Modeling -- 3.2 Design Principles to Foster Business Processes Discovering -- 4 Related Work -- 5 Proposal: The Meet2map Framework -- 5.1 Modeling Tool -- 5.2 Collaborative Modeling Process -- 5.3 Artifacts -- 6 Evaluation -- 6.1 Case Study 1 -- 6.2 Case Study 2 -- 7 Discussion -- 8 Conclusion -- References -- The Factors of Enterprise Business Architecture Readiness in Organisations -- 1 Introduction</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">2 Literature Review</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Betriebliches Informationssystem</subfield><subfield code="0">(DE-588)4069386-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)1071861417</subfield><subfield code="a">Konferenzschrift</subfield><subfield code="y">2022</subfield><subfield code="z">Online</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Betriebliches Informationssystem</subfield><subfield code="0">(DE-588)4069386-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Śmiałek, Michał</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Brodsky, Alexander</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hammoudi, Slimane</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="a">Filipe, Joaquim</subfield><subfield code="t">Enterprise Information Systems</subfield><subfield code="d">Cham : Springer International Publishing AG,c2023</subfield><subfield code="z">9783031393853</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-PQE</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-035215811</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ebookcentral.proquest.com/lib/hwr/detail.action?docID=30668258</subfield><subfield code="l">DE-2070s</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="q">HWR_PDA_PQE</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| genre | (DE-588)1071861417 Konferenzschrift 2022 Online gnd-content |
| genre_facet | Konferenzschrift 2022 Online |
| id | DE-604.BV049876361 |
| illustrated | Not Illustrated |
| indexdate | 2025-01-10T19:04:18Z |
| institution | BVB |
| isbn | 9783031393860 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035215811 |
| oclc_num | 1391978972 |
| open_access_boolean | |
| owner | DE-2070s |
| owner_facet | DE-2070s |
| physical | 1 Online-Ressource (439 Seiten) |
| psigel | ZDB-30-PQE ZDB-30-PQE HWR_PDA_PQE |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Springer International Publishing AG |
| record_format | marc |
| series2 | Lecture Notes in Business Information Processing Series |
| spelling | Filipe, Joaquim Verfasser aut Enterprise Information Systems 24th International Conference, ICEIS 2022, Virtual Event, April 25-27, 2022, Revised Selected Papers 1st ed Cham Springer International Publishing AG 2023 ©2023 1 Online-Ressource (439 Seiten) txt rdacontent c rdamedia cr rdacarrier Lecture Notes in Business Information Processing Series v.487 Description based on publisher supplied metadata and other sources Intro -- Preface -- Organization -- Contents -- Databases and Information Systems Integration -- Balancing Simplicity and Complexity in Modeling Mined Business Processes: A User Perspective -- 1 Introduction -- 2 A Methodology for Aligning Process Model Abstraction and Users of Process Models -- 3 Demonstration -- 3.1 Case Study One: Logistics in Production Facility -- 3.2 Case Study Two: Reimbursement of Travel Cost -- 3.3 Cross-Analysis of the Case Studies -- 4 Related Work -- 5 Conclusions and Future Work -- References -- A Storage Location Assignment Problem with Incompatibility and Isolation Constraints: An Iterated Local Search Approach -- 1 Introduction -- 2 Literature Review -- 3 Problem Description -- 4 Input Data Processing -- 4.1 Warehouse Input Format -- 4.2 Distance Matrix Extraction -- 5 Iterated Local Search -- 5.1 Solution Evaluation -- 6 Instance Sets -- 7 Computational Evaluation -- 8 Conclusion -- References -- Using IoT Technology for the Skilled Crafts -- 1 Introduction -- 2 Related Work -- 2.1 Technical Implementation and Existing IoT Solutions -- 2.2 Digital Platforms for the Skilled Crafts -- 3 Methodology and Approach -- 3.1 Approach -- 3.2 Identification and Evaluation of IoT Use Cases -- 3.3 IoT-Sensor Screening -- 3.4 IoT4H Platform -- 4 Preliminary Results -- 4.1 Identification of IoT Use Cases for the Skilled Crafts -- 4.2 IoT4H Platform -- 4.3 IoT Living Lab -- 5 Conclusion -- References -- Implementation Solutions for FAIR Clinical Research Data Management -- 1 Introduction -- 2 Background -- 3 A Platform for FAIR Clinical Data -- 4 The ETL4FAIR Framework -- 4.1 ETL4FAIR Overview -- 4.2 Solutions Implemented to Cover FAIRification -- 5 Cloud FAIR Data Point -- 5.1 FAIR DP Architecture -- 5.2 FAIR DP Endpoints and Pods -- 5.3 VODAN BR Cloud FAIR DP -- 6 Conclusions and Future Works -- References Artificial Intelligence and Decision Support Systems -- Visual Interactive Exploration and Labeling of Large Volumes of Industrial Time Series Data -- 1 Introduction -- 2 Problem Statement -- 2.1 Motivating Exemplary Use Cases -- 2.2 Labeling of a Sensor Data Set for Machine Learning Tasks -- 3 Related Work -- 4 Efficient Exploration and Labeling of Multivariate Industrial Sensor Data -- 4.1 Design Goals -- 4.2 Data Formats and Forms -- 4.3 Visualization of Large Data Sets -- 4.4 Support of Small Time Units -- 4.5 Aggregation and Adaptive Aggregation of Data for Large Query Results -- 4.6 Label Classes and Formats -- 5 Label Support System -- 5.1 Semi-automated Unsupervised Labeling Support -- 5.2 Active Learning Labeling Support -- 6 Evaluation -- 6.1 Performance -- 6.2 User Study -- 6.3 Active Learning -- 6.4 Discussion -- 7 Conclusion and Outlook -- References -- Resource Planning in Workflow Nets Based on a Symbolic Time Constraint Propagation Mechanism -- 1 Introduction -- 2 Theoretical Foundations -- 2.1 Workflow Net -- 2.2 Soundness -- 2.3 Process -- 2.4 Time Petri Net -- 2.5 Colored Petri Net -- 2.6 CPN Tools -- 2.7 Resource Allocation Mechanism -- 2.8 Linear Logic -- 2.9 Linear Logic for Soundness Verification -- 3 Time Constraint Propagation Mechanism -- 3.1 Forward Propagation -- 3.2 Backward Propagation -- 4 CPN Implementation of the Workflow Net with Resources -- 4.1 CPN Model -- 4.2 Simulation Results -- 5 Related Works -- 6 Conclusions -- References -- Implementation of the Maintenance Cost Optimization Function in Manufacturing Execution Systems -- 1 Introduction -- 2 Minimal Operating Cost for Single Spare Part -- 3 Determining the Optimal Cost of a Single Spare Part -- 3.1 Real Industrial Spare Parts -- 3.2 Spare Part Controlled by Sensors and AI System -- 4 Implementation of the Spare Part Cost Optimization Algorithm in MES. 5 Conclusions -- References -- Quantitative Comparison of Translation by Transformers-Based Neural Network Models -- 1 Introduction -- 2 Related Works -- 3 Analysis Methodology -- 3.1 Dataset Preparation -- 3.2 Language Detection -- 3.3 Automatic Translation -- 3.4 Translation with MS Azure Cloud -- 4 Fine-Tuning -- 4.1 Fine-Tuning on a Reduced Training Dataset -- 4.2 Fine-Tuning on the Complete Training Dataset -- 5 Conclusion and Discussion -- References -- OptiViTh: A Decision Guidance Framework and System for Design, Analysis and Optimization of Cloud-Manufactured Virtual Things -- 1 Introduction -- 2 Overview of V-Thing Framework -- 3 Mathematical Formalization of the V-Thing Framework -- 3.1 Virtual Products -- 3.2 Specs of Virtual Products -- 3.3 Virtual Services -- 3.4 Specs of Virtual Services -- 4 OptiViTh Decision Guidance System -- 4.1 Architecture Overview -- 4.2 Artifacts in the Repository -- 4.3 V-Thing Creation -- 4.4 V-Thing Optimization -- 5 Conclusions -- References -- Efficient Deep Neural Network Training Techniques for Overfitting Avoidance -- 1 Introduction -- 2 Related Works -- 3 Overfitting Machanism -- 3.1 Popular Solution for Ovefitting -- 4 Maths Behind Dropout -- 5 Experimental Results and Discussions -- 5.1 Simulation Scenario: EarlyStopping -- 5.2 Simulation Scenario: Dropout -- 6 Conclusion -- References -- Effect of Convulsion Layers and Hyper-parameters on the Behavior of Adversarial Neural Networks -- 1 Introduction -- 2 Related Works -- 3 How Are Generative Models Implemented? -- 4 Theoretical and Mathematical Basis for GAN Networks -- 4.1 Gradient Descent -- 4.2 Generator -- 4.3 Discriminator -- 4.4 Optimizing the Model -- 4.5 Cost of the GAN -- 4.6 Cost of the Generator -- 4.7 Loss Function -- 4.8 Generator Loss -- 4.9 Discriminator Loss -- 4.10 Combined Loss Functions -- 4.11 Experimental Setup -- 5 Conclusion References -- Information Systems Analysis and Specification -- Modelling Software Tasks for Supporting Resource-Driven Adaptation -- 1 Introduction -- 2 Related Work -- 3 Meta-model of SERIES -- 3.1 Constructs that SERIES Incorporates from CTT -- 3.2 Abstract Task -- 3.3 Application Task -- 3.4 Application Task Variant -- 4 Automated Warehouse System Example -- 4.1 Abstract Task: Prepare Order -- 4.2 Application Tasks -- 4.3 Application Task Variants for Pack Items in a Box -- 4.4 Application Task Variants for Decorate Box -- 5 Supporting Tool of SERIES -- 6 Evaluation -- 6.1 Participants -- 6.2 Design of the Study -- 6.3 Results -- 7 Conclusion and Future Work -- References -- A Critical View on the OQuaRE Ontology Quality Framework -- 1 Introduction -- 2 Inconsistent Metric Definitions of OQuaRE -- 2.1 Number of Children (NOCOnto) -- 2.2 Response for a Class (RFCOnto) -- 2.3 Relationship Richness (RROnto) -- 2.4 Properties Richness (PROnto) -- 2.5 Tangledness (TMOnto) -- 2.6 Weighted Method Count (WMCOnto) -- 2.7 Attribute Richness (AROnto) -- 3 Harmonized OQuaRE Framework -- 3.1 Metric Definitions -- 3.2 OQuaRE Quality Characteristics -- 3.3 Connecting Quality Characteristics and Metrics -- 4 Evaluation of the OQuaRE Quality Ratings -- 4.1 Previous Evaluations of and with OQuaRE -- 4.2 Metric Data Origin Methodology -- 4.3 The Distribution of OQuaRE Ratings on the Metric Dataset -- 4.4 Implications of the Quality Evaluation -- 5 Discussion and Conclusion -- References -- Successful Practices in Industry-Academy Collaboration in the Context of Software Agility: A Systematic Literature Review -- 1 Introduction -- 2 Theoretical Reference -- 2.1 Industry-Academy Collaboration (IAC) -- 2.2 Agile Software Development (ASD) -- 3 Methodology -- 4 Search Results and Discussions -- 4.1 A. (RQ1) What Challenges to the Application of IACs in ASD Were Raised? 4.2 B. (RQ2) What Are the Proposed Practices for Improving IAC in the Context of ASD? -- 4.3 C. (RQ3) What Types of IAC Models Have Been Proposed in the Context of ASD? -- 4.4 Correlations Between Challenges and Good Practices -- 4.5 Discussions and Threats to Validity -- 5 Conclusion -- References -- Human-Computer Interaction -- Distance Digital Learning for Adult Learners: Self-paced e-Learning on Business Information Systems -- 1 From Distance Education to Self-paced e-Learning -- 2 Design Elements of the Self-paced e-Learning Environments -- 3 Pilot and Case Studies -- 3.1 Pilot -- 3.2 Course "Modelling and Design of Business Information Systems" -- 3.3 Hands-On-Training on SAP ERP-Systems (SAP S/4 HANA) -- 3.4 Course "Business Information Systems" -- 3.5 Course "Management and Control of IT" -- 4 Research Model and Data Collection -- 5 Conclusions -- References -- Human-Computer Interaction: Ethical Perspectives on Technology and Its (Mis)uses -- 1 Introduction -- 2 The Neuralink Experiment and the Financial Power to Support Scientific Research -- 3 Treating Depression with a Deep Stimulation Device -- 4 Neuralink, Mental Illness and the Use of Human-Computer Interaction to Exert Social Control -- 5 Conclusions -- References -- Enterprise Architecture -- Meet2Map: A Framework to Support BPM Projects Implementation Collaboratively -- 1 Introduction -- 2 Methodological Approach -- 3 Background Knowledge -- 3.1 Business Process Discovering and Modeling -- 3.2 Design Principles to Foster Business Processes Discovering -- 4 Related Work -- 5 Proposal: The Meet2map Framework -- 5.1 Modeling Tool -- 5.2 Collaborative Modeling Process -- 5.3 Artifacts -- 6 Evaluation -- 6.1 Case Study 1 -- 6.2 Case Study 2 -- 7 Discussion -- 8 Conclusion -- References -- The Factors of Enterprise Business Architecture Readiness in Organisations -- 1 Introduction 2 Literature Review Betriebliches Informationssystem (DE-588)4069386-7 gnd rswk-swf (DE-588)1071861417 Konferenzschrift 2022 Online gnd-content Betriebliches Informationssystem (DE-588)4069386-7 s DE-604 Śmiałek, Michał Sonstige oth Brodsky, Alexander Sonstige oth Hammoudi, Slimane Sonstige oth Erscheint auch als Druck-Ausgabe Filipe, Joaquim Enterprise Information Systems Cham : Springer International Publishing AG,c2023 9783031393853 |
| spellingShingle | Filipe, Joaquim Enterprise Information Systems 24th International Conference, ICEIS 2022, Virtual Event, April 25-27, 2022, Revised Selected Papers Intro -- Preface -- Organization -- Contents -- Databases and Information Systems Integration -- Balancing Simplicity and Complexity in Modeling Mined Business Processes: A User Perspective -- 1 Introduction -- 2 A Methodology for Aligning Process Model Abstraction and Users of Process Models -- 3 Demonstration -- 3.1 Case Study One: Logistics in Production Facility -- 3.2 Case Study Two: Reimbursement of Travel Cost -- 3.3 Cross-Analysis of the Case Studies -- 4 Related Work -- 5 Conclusions and Future Work -- References -- A Storage Location Assignment Problem with Incompatibility and Isolation Constraints: An Iterated Local Search Approach -- 1 Introduction -- 2 Literature Review -- 3 Problem Description -- 4 Input Data Processing -- 4.1 Warehouse Input Format -- 4.2 Distance Matrix Extraction -- 5 Iterated Local Search -- 5.1 Solution Evaluation -- 6 Instance Sets -- 7 Computational Evaluation -- 8 Conclusion -- References -- Using IoT Technology for the Skilled Crafts -- 1 Introduction -- 2 Related Work -- 2.1 Technical Implementation and Existing IoT Solutions -- 2.2 Digital Platforms for the Skilled Crafts -- 3 Methodology and Approach -- 3.1 Approach -- 3.2 Identification and Evaluation of IoT Use Cases -- 3.3 IoT-Sensor Screening -- 3.4 IoT4H Platform -- 4 Preliminary Results -- 4.1 Identification of IoT Use Cases for the Skilled Crafts -- 4.2 IoT4H Platform -- 4.3 IoT Living Lab -- 5 Conclusion -- References -- Implementation Solutions for FAIR Clinical Research Data Management -- 1 Introduction -- 2 Background -- 3 A Platform for FAIR Clinical Data -- 4 The ETL4FAIR Framework -- 4.1 ETL4FAIR Overview -- 4.2 Solutions Implemented to Cover FAIRification -- 5 Cloud FAIR Data Point -- 5.1 FAIR DP Architecture -- 5.2 FAIR DP Endpoints and Pods -- 5.3 VODAN BR Cloud FAIR DP -- 6 Conclusions and Future Works -- References Artificial Intelligence and Decision Support Systems -- Visual Interactive Exploration and Labeling of Large Volumes of Industrial Time Series Data -- 1 Introduction -- 2 Problem Statement -- 2.1 Motivating Exemplary Use Cases -- 2.2 Labeling of a Sensor Data Set for Machine Learning Tasks -- 3 Related Work -- 4 Efficient Exploration and Labeling of Multivariate Industrial Sensor Data -- 4.1 Design Goals -- 4.2 Data Formats and Forms -- 4.3 Visualization of Large Data Sets -- 4.4 Support of Small Time Units -- 4.5 Aggregation and Adaptive Aggregation of Data for Large Query Results -- 4.6 Label Classes and Formats -- 5 Label Support System -- 5.1 Semi-automated Unsupervised Labeling Support -- 5.2 Active Learning Labeling Support -- 6 Evaluation -- 6.1 Performance -- 6.2 User Study -- 6.3 Active Learning -- 6.4 Discussion -- 7 Conclusion and Outlook -- References -- Resource Planning in Workflow Nets Based on a Symbolic Time Constraint Propagation Mechanism -- 1 Introduction -- 2 Theoretical Foundations -- 2.1 Workflow Net -- 2.2 Soundness -- 2.3 Process -- 2.4 Time Petri Net -- 2.5 Colored Petri Net -- 2.6 CPN Tools -- 2.7 Resource Allocation Mechanism -- 2.8 Linear Logic -- 2.9 Linear Logic for Soundness Verification -- 3 Time Constraint Propagation Mechanism -- 3.1 Forward Propagation -- 3.2 Backward Propagation -- 4 CPN Implementation of the Workflow Net with Resources -- 4.1 CPN Model -- 4.2 Simulation Results -- 5 Related Works -- 6 Conclusions -- References -- Implementation of the Maintenance Cost Optimization Function in Manufacturing Execution Systems -- 1 Introduction -- 2 Minimal Operating Cost for Single Spare Part -- 3 Determining the Optimal Cost of a Single Spare Part -- 3.1 Real Industrial Spare Parts -- 3.2 Spare Part Controlled by Sensors and AI System -- 4 Implementation of the Spare Part Cost Optimization Algorithm in MES. 5 Conclusions -- References -- Quantitative Comparison of Translation by Transformers-Based Neural Network Models -- 1 Introduction -- 2 Related Works -- 3 Analysis Methodology -- 3.1 Dataset Preparation -- 3.2 Language Detection -- 3.3 Automatic Translation -- 3.4 Translation with MS Azure Cloud -- 4 Fine-Tuning -- 4.1 Fine-Tuning on a Reduced Training Dataset -- 4.2 Fine-Tuning on the Complete Training Dataset -- 5 Conclusion and Discussion -- References -- OptiViTh: A Decision Guidance Framework and System for Design, Analysis and Optimization of Cloud-Manufactured Virtual Things -- 1 Introduction -- 2 Overview of V-Thing Framework -- 3 Mathematical Formalization of the V-Thing Framework -- 3.1 Virtual Products -- 3.2 Specs of Virtual Products -- 3.3 Virtual Services -- 3.4 Specs of Virtual Services -- 4 OptiViTh Decision Guidance System -- 4.1 Architecture Overview -- 4.2 Artifacts in the Repository -- 4.3 V-Thing Creation -- 4.4 V-Thing Optimization -- 5 Conclusions -- References -- Efficient Deep Neural Network Training Techniques for Overfitting Avoidance -- 1 Introduction -- 2 Related Works -- 3 Overfitting Machanism -- 3.1 Popular Solution for Ovefitting -- 4 Maths Behind Dropout -- 5 Experimental Results and Discussions -- 5.1 Simulation Scenario: EarlyStopping -- 5.2 Simulation Scenario: Dropout -- 6 Conclusion -- References -- Effect of Convulsion Layers and Hyper-parameters on the Behavior of Adversarial Neural Networks -- 1 Introduction -- 2 Related Works -- 3 How Are Generative Models Implemented? -- 4 Theoretical and Mathematical Basis for GAN Networks -- 4.1 Gradient Descent -- 4.2 Generator -- 4.3 Discriminator -- 4.4 Optimizing the Model -- 4.5 Cost of the GAN -- 4.6 Cost of the Generator -- 4.7 Loss Function -- 4.8 Generator Loss -- 4.9 Discriminator Loss -- 4.10 Combined Loss Functions -- 4.11 Experimental Setup -- 5 Conclusion References -- Information Systems Analysis and Specification -- Modelling Software Tasks for Supporting Resource-Driven Adaptation -- 1 Introduction -- 2 Related Work -- 3 Meta-model of SERIES -- 3.1 Constructs that SERIES Incorporates from CTT -- 3.2 Abstract Task -- 3.3 Application Task -- 3.4 Application Task Variant -- 4 Automated Warehouse System Example -- 4.1 Abstract Task: Prepare Order -- 4.2 Application Tasks -- 4.3 Application Task Variants for Pack Items in a Box -- 4.4 Application Task Variants for Decorate Box -- 5 Supporting Tool of SERIES -- 6 Evaluation -- 6.1 Participants -- 6.2 Design of the Study -- 6.3 Results -- 7 Conclusion and Future Work -- References -- A Critical View on the OQuaRE Ontology Quality Framework -- 1 Introduction -- 2 Inconsistent Metric Definitions of OQuaRE -- 2.1 Number of Children (NOCOnto) -- 2.2 Response for a Class (RFCOnto) -- 2.3 Relationship Richness (RROnto) -- 2.4 Properties Richness (PROnto) -- 2.5 Tangledness (TMOnto) -- 2.6 Weighted Method Count (WMCOnto) -- 2.7 Attribute Richness (AROnto) -- 3 Harmonized OQuaRE Framework -- 3.1 Metric Definitions -- 3.2 OQuaRE Quality Characteristics -- 3.3 Connecting Quality Characteristics and Metrics -- 4 Evaluation of the OQuaRE Quality Ratings -- 4.1 Previous Evaluations of and with OQuaRE -- 4.2 Metric Data Origin Methodology -- 4.3 The Distribution of OQuaRE Ratings on the Metric Dataset -- 4.4 Implications of the Quality Evaluation -- 5 Discussion and Conclusion -- References -- Successful Practices in Industry-Academy Collaboration in the Context of Software Agility: A Systematic Literature Review -- 1 Introduction -- 2 Theoretical Reference -- 2.1 Industry-Academy Collaboration (IAC) -- 2.2 Agile Software Development (ASD) -- 3 Methodology -- 4 Search Results and Discussions -- 4.1 A. (RQ1) What Challenges to the Application of IACs in ASD Were Raised? 4.2 B. (RQ2) What Are the Proposed Practices for Improving IAC in the Context of ASD? -- 4.3 C. (RQ3) What Types of IAC Models Have Been Proposed in the Context of ASD? -- 4.4 Correlations Between Challenges and Good Practices -- 4.5 Discussions and Threats to Validity -- 5 Conclusion -- References -- Human-Computer Interaction -- Distance Digital Learning for Adult Learners: Self-paced e-Learning on Business Information Systems -- 1 From Distance Education to Self-paced e-Learning -- 2 Design Elements of the Self-paced e-Learning Environments -- 3 Pilot and Case Studies -- 3.1 Pilot -- 3.2 Course "Modelling and Design of Business Information Systems" -- 3.3 Hands-On-Training on SAP ERP-Systems (SAP S/4 HANA) -- 3.4 Course "Business Information Systems" -- 3.5 Course "Management and Control of IT" -- 4 Research Model and Data Collection -- 5 Conclusions -- References -- Human-Computer Interaction: Ethical Perspectives on Technology and Its (Mis)uses -- 1 Introduction -- 2 The Neuralink Experiment and the Financial Power to Support Scientific Research -- 3 Treating Depression with a Deep Stimulation Device -- 4 Neuralink, Mental Illness and the Use of Human-Computer Interaction to Exert Social Control -- 5 Conclusions -- References -- Enterprise Architecture -- Meet2Map: A Framework to Support BPM Projects Implementation Collaboratively -- 1 Introduction -- 2 Methodological Approach -- 3 Background Knowledge -- 3.1 Business Process Discovering and Modeling -- 3.2 Design Principles to Foster Business Processes Discovering -- 4 Related Work -- 5 Proposal: The Meet2map Framework -- 5.1 Modeling Tool -- 5.2 Collaborative Modeling Process -- 5.3 Artifacts -- 6 Evaluation -- 6.1 Case Study 1 -- 6.2 Case Study 2 -- 7 Discussion -- 8 Conclusion -- References -- The Factors of Enterprise Business Architecture Readiness in Organisations -- 1 Introduction 2 Literature Review Betriebliches Informationssystem (DE-588)4069386-7 gnd |
| subject_GND | (DE-588)4069386-7 (DE-588)1071861417 |
| title | Enterprise Information Systems 24th International Conference, ICEIS 2022, Virtual Event, April 25-27, 2022, Revised Selected Papers |
| title_auth | Enterprise Information Systems 24th International Conference, ICEIS 2022, Virtual Event, April 25-27, 2022, Revised Selected Papers |
| title_exact_search | Enterprise Information Systems 24th International Conference, ICEIS 2022, Virtual Event, April 25-27, 2022, Revised Selected Papers |
| title_full | Enterprise Information Systems 24th International Conference, ICEIS 2022, Virtual Event, April 25-27, 2022, Revised Selected Papers |
| title_fullStr | Enterprise Information Systems 24th International Conference, ICEIS 2022, Virtual Event, April 25-27, 2022, Revised Selected Papers |
| title_full_unstemmed | Enterprise Information Systems 24th International Conference, ICEIS 2022, Virtual Event, April 25-27, 2022, Revised Selected Papers |
| title_short | Enterprise Information Systems |
| title_sort | enterprise information systems 24th international conference iceis 2022 virtual event april 25 27 2022 revised selected papers |
| title_sub | 24th International Conference, ICEIS 2022, Virtual Event, April 25-27, 2022, Revised Selected Papers |
| topic | Betriebliches Informationssystem (DE-588)4069386-7 gnd |
| topic_facet | Betriebliches Informationssystem Konferenzschrift 2022 Online |
| work_keys_str_mv | AT filipejoaquim enterpriseinformationsystems24thinternationalconferenceiceis2022virtualeventapril25272022revisedselectedpapers AT smiałekmichał enterpriseinformationsystems24thinternationalconferenceiceis2022virtualeventapril25272022revisedselectedpapers AT brodskyalexander enterpriseinformationsystems24thinternationalconferenceiceis2022virtualeventapril25272022revisedselectedpapers AT hammoudislimane enterpriseinformationsystems24thinternationalconferenceiceis2022virtualeventapril25272022revisedselectedpapers |