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Les nations européennes entre histoire et mémoire, xixe-xxe siècles / / Francis Démier, Elena Musiani
| Les nations européennes entre histoire et mémoire, xixe-xxe siècles / / Francis Démier, Elena Musiani |
| Autore | Aglan Alya |
| Pubbl/distr/stampa | Nanterre, : Presses universitaires de Paris Nanterre, 2020 |
| Descrizione fisica | 1 online resource (350 p.) |
| Altri autori (Persone) |
BeltranAlain
BerthezèneClarisse BurgelGuy CammaranoFulvio CavazzaStefano ChaputMarie-Claude CrisafulliLilla Maria DelépineMichaël DémierFrancis DiatkineDaniel JoutardPhilippe KrumeichGerd LavabreMarie-Claire LokMatthijs Lo CascioPaola MarecYannick MusianiElena NagyLászló Pérez SerranoJulio RichardYann SalaisRobert TaillotAllison ThiesseAnne-Marie WilliotJean-Pierre ZanettiFederica ZielinskiBernd |
| Soggetto topico |
History
nation révolution destin commun politique actualité sentiment national Union européenne nationalisme |
| Soggetto non controllato |
sentiment national
Union européenne révolution politique nation actualité nationalisme destin commun |
| ISBN | 979-1-03-654745-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | fre |
| Record Nr. | UNINA-9910418026003321 |
Aglan Alya
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| Nanterre, : Presses universitaires de Paris Nanterre, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Ontology-Based Development of Industry 4. 0 and 5. 0 Solutions for Smart Manufacturing and Production : Knowledge Graph and Semantic Based Modeling and Optimization of Complex Systems
| Ontology-Based Development of Industry 4. 0 and 5. 0 Solutions for Smart Manufacturing and Production : Knowledge Graph and Semantic Based Modeling and Optimization of Complex Systems |
| Autore | Abonyi János |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2024 |
| Descrizione fisica | 1 online resource (277 pages) |
| Altri autori (Persone) |
NagyLászló
RuppertTamás |
| Collana | Springer Series in Advanced Manufacturing Series |
| ISBN | 3-031-47444-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- 1 Introduction and Motivation of the Book -- 1.1 Introduction of the Research Topics-Problem Statement -- 1.1.1 Requirements and Data Integration of Industry 4.0 Systems -- 1.1.2 Standards and Ontology-Based Modeling of Manufacturing -- 1.1.3 Production Models and Digital Twins -- 1.1.4 Human-Centric and Collaborative Approach-Challenges of Industry 5.0 -- 1.1.5 Problem Statement of the Book -- 1.2 Proposed Framework for Ontology-Based Development … -- 1.3 Research Questions -- References -- Part I Semantic Modeling-Ontologies and Knowledge Graphs -- 2 Introduction to the Industrial Application of Semantic Technologies -- 2.1 Ontologies and Semantic Models in General -- 2.2 Industry Standard-Based Representation of Manufacturing -- 2.3 Semantic Modeling, Ontologies and Description Methods … -- 2.4 Ontologies and Semantic Models for MES Development -- 2.5 Semantic Representations of Sensory Data -- 2.6 Product-Process-Resource Modeling and Workflow -- 2.7 Semantic Technologies and Metrics to Describe and Support the Operator -- 2.7.1 Human Activity Recognition -- 2.7.2 Ergonomics and Collaboration -- 2.7.3 Metrics to Evaluate Human-Machine Interactions -- 2.8 Ontology-Based Analysis and Solutions in Manufacturing Systems -- 2.9 Comparison of Ontology-Based Methods … -- References -- 3 Data Sharing in Industry 4.0-AutomationML, B2MML and International Data Spaces-Based Solutions -- 3.1 Introduction -- 3.2 Overview of the Interaction Between Standard Data Models -- 3.3 Research Method -- 3.4 Systematic Review of Standard Data Models … -- 3.4.1 Overview of Automation Markup Language (AutomationML) -- 3.4.2 Overview of the Business to Manufacturing Markup Language (B2MML) -- 3.4.3 Overview of the International Data Spaces (IDS) -- 3.5 Discussion -- 3.6 Conclusion -- References.
4 Ontology-Based Modeling of a Wire Harness Manufacturing Processes -- 4.1 Applied Software Tools of Ontology-Based Modeling -- 4.2 Ontology Modeling-Creation of Manufacturing Based Knowledge Graph -- 4.3 Data Queries and Evaluation of Ontology Data -- 4.4 Summary of the Ontology-Based Modeling of a Manufacturing Process -- References -- 5 Knowledge Graph-Based Framework to Support the Human-Centric Approach -- 5.1 State of the Art-Knowledge Gap and Motivation -- 5.2 Human-Centered Knowledge Graph Towards Collaboration in Manufacturing -- 5.2.1 Manufacturing Operations Management -- 5.2.2 Monitoring System Concept -- 5.2.3 Design Structure of the HCKG Concept -- 5.3 Human-Robot Collaboration and Key Performance Indicators -- 5.4 Applied Methodologies and Software Tools -- 5.5 Development of the Industry-Specific Human-Centered Knowledge Graph -- 5.6 Discussion on KG-Based Analytics of the Use Case -- 5.7 Summary of Human-Centric Knowledge Graph Framework -- References -- Part II Network Science-Based Process Optimization-Advanced Manufacturing Analytics -- 6 Problem Statement of Network Science-Based Process Optimization -- 6.1 Application of Semantic Features for Optimization -- 6.2 Convert Data into Graph Network and Multilayer Network Representation -- 6.3 Algorithmic Solutions to the Assembly Line Balancing Problem -- 6.4 Community Detection Algorithms -- 6.5 Introduction to Hypergraph-Based Analytics -- References -- 7 Analytic Hierarchy Process and Multilayer Network-Based Method for Assembly Line Balancing -- 7.1 Problem Formulation of Multilayer Based, Multi-objective … -- 7.1.1 Multilayer Network-Based Representation of Production Lines -- 7.1.2 The Objective Function of Assembly Line Balancing -- 7.2 Simulated Annealing-Based Line-Balancing Optimization -- 7.3 Solving ALB with Multilayer and AHP Approach -- 7.4 Parameter Testing. 7.5 Complex, Multilayer Analysis of a Wire-Harness Assembly Graph Network -- 7.6 Summary of the Proposed Assembly Line Balancing Method -- References -- 8 Network Community Detection Algorithm for Graph Networks -- 8.1 The State-of-the-Art Nature of the Problem -- 8.1.1 Cost Function-Modularity -- 8.1.2 Overview of Recent Research Results in the Field of Community Detection Algorithms -- 8.1.3 Crossing Minimization-Based Serialization Method -- 8.1.4 Bottom-Up Segmentation-Based Community Detection Method -- 8.2 Proposed Methodology-Crossing Minimization and Bottom-Up … -- 8.2.1 The Proposed Crossing Minimization-Based Serialization -- 8.2.2 The Proposed Bottom-Up Segmentation-Based Community Detection -- 8.2.3 Complexity Analysis -- 8.3 Results and Discussion of the Developed Combined Algorithm -- 8.3.1 Details of the Applied Metrics and Other Algorithms to Compare -- 8.3.2 Tuning of the Resolution and Gamma Parameters of the Algorithm -- 8.3.3 Comparing the Performance of the Algorithm with Other Methods -- 8.3.4 Benchmark Tests on LFR Artificial Networks -- 8.4 Summary of the Proposed Network Community Detection Method -- References -- 9 Hypergraph-Based Analysis of Collaborative Manufacturing -- 9.1 Collaborative Manufacturing -- 9.2 Higher-Order Network Representation to Support Collaboration -- 9.2.1 Hypergraphs for Modeling Complex Manufacturing Systems -- 9.2.2 Basics of Hypergraph Analytics -- 9.2.3 Hypergraph-Based Modeling of a Production Process -- 9.2.4 Advanced Hypergraph-Based Analysis of a Collaborative Manufacturing -- 9.3 Designing Collaborative Manufacturing for a Wire Harness Assembly Process -- 9.3.1 Hypergraph-Based Representation of Collaborative Manufacturing Designed for the Wire Harness Assembly Line -- 9.3.2 Identification of the Critical Elements and Collaborations. 9.3.3 Segmentation of the Collaborative Manufacturing Model -- 9.3.4 Discussion on the Benefits of the Hypergraph-Based Analysis and Suggestions for Future Research -- 9.4 Summary of Hypergraph-Based Analysis of Collaborative Manufacturing -- References -- 10 Source List for Semantic-Based Modeling, Utilization of Graph Databases and Graph-Based Optimization of Manufacturing Systems -- 10.1 Ontology Development Methodology -- 10.2 Applied Methodologies and Software Tools for a Specific Knowledge Graph -- 10.3 List of Software Tools -- References -- 11 Conclusions -- Appendix Appendix -- A.1 Wire Harness Assembly Based Industrial Case Study-General -- A.2 Wire Harness Assembly Based Industrial Case Study-Collaboration -- A.3 Detailed Structural Diagram of the Case Study Specific KG -- A.4 Assembly Line Balancing Algorithm-Nominations -- A.5 Community Detection-List of the used Nomenclature and Benchmark Results -- References. |
| Record Nr. | UNINA-9910799211203321 |
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Abonyi János
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| Cham : , : Springer International Publishing AG, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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