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Advances in System-Integrated Intelligence : Proceedings of the 6th International Conference on System-Integrated Intelligence (SysInt 2022), September 7-9, 2022, Genova, Italy / / edited by Maurizio Valle, Dirk Lehmhus, Christian Gianoglio, Edoardo Ragusa, Lucia Seminara, Stefan Bosse, Ali Ibrahim, Klaus-Dieter Thoben
| Advances in System-Integrated Intelligence : Proceedings of the 6th International Conference on System-Integrated Intelligence (SysInt 2022), September 7-9, 2022, Genova, Italy / / edited by Maurizio Valle, Dirk Lehmhus, Christian Gianoglio, Edoardo Ragusa, Lucia Seminara, Stefan Bosse, Ali Ibrahim, Klaus-Dieter Thoben |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (745 pages) |
| Disciplina | 006.33 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Cooperating objects (Computer systems)
Machine learning Industrial engineering Automation Cyber-Physical Systems Machine Learning Industrial Automation |
| ISBN | 3-031-16281-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- 6th International Conference on System-Integrated Intelligence (SysInt2022) -- General Chair -- Organizing Committee -- International Scientific Committee -- Technical Program Chairs -- Track and Special Session Chairs -- Organizers -- Sponsors -- Contents -- Artificial Intelligence -- Towards Challenges and Proposals for Integrating and Using Machine Learning Methods in Production Environments -- 1 Introduction -- 1.1 Motivation -- 2 General Overview -- 3 Identified Challenges and Proposals -- 3.1 Social Challenges and Human Factors -- 3.2 Sensors and Data Sources -- 3.3 Computational and Processing Capacity -- 3.4 Software Dependencies -- 3.5 Model Availability and System Failures -- 3.6 Adaptation of Business Processes and Model Adjustments -- 4 Summary and Conclusion -- References -- Autonomous Driving Based on Imitation and Active Inference -- 1 Introduction -- 2 Proposed Framework -- 2.1 Offline Learning Phase -- 2.2 Online Learning Phase -- 3 Experimental Evaluation -- 3.1 Offline Learning Phase -- 3.2 Online Learning Phase -- 4 Conclusion -- References -- Machine Learning Based Reconstruction of Process Forces -- 1 Introduction -- 2 Methods -- 2.1 Experimental Setup -- 2.2 Data Preprocessing -- 2.3 Algorithms and Model Training -- 3 Results -- 3.1 Data Complexity -- 3.2 Generalizability -- 3.3 Comparing MILLTAP700 and HSC30 -- 4 Summary and Conclusion -- References -- A Novel Rule-Based Modeling and Control Approach for the Optimization of Complex Water Distribution Networks -- 1 Introduction -- 2 Related Work -- 3 Rule Based Control -- 3.1 Modeling -- 3.2 Control -- 4 Results -- 5 Discussion -- References -- Graph-Based Segmentation and Markov Random Field for Covid-19 Infection in Lung CT Volumes -- 1 Introduction -- 2 Materials and Methods -- 2.1 Overview -- 2.2 Dataset -- 2.3 Lung Masking and Region Segmentation.
2.4 Parametric Model Fitting -- 2.5 Markov Random Field Modelling -- 3 Results -- 4 Conclusion -- References -- Image Based Classification of Methods-Time Measurement Operations in Assembly Using Recurrent Neuronal Networks -- 1 Introduction -- 2 Classification of Assembly Operations -- 3 Experimental Design and Data Analysis -- 3.1 Architecture of the Neuronal Network -- 3.2 Analysis of the Data Set -- 3.3 Data Processing -- 4 Results -- 5 Summary -- References -- Pervasive and Ubiquitous Intelligence -- FPGA-Based Road Crack Detection Using Deep Learning -- 1 Introduction -- 2 Dataset and Crack Detection Network Architecture -- 3 FPGA Implementation and Deployment -- 3.1 Implementation Results -- 4 Performance Analysis -- 4.1 Detection Accuracy -- 4.2 Throughput and Energy Efficiency -- 5 Conclusion -- References -- Simple Non Regressive Informed Machine Learning Model for Prescriptive Maintenance of Track Circuits in a Subway Environment -- 1 Introduction -- 2 Problem Formalization and Available Data -- 3 Simple Non Regressive Informed Data Driven Model -- 4 Experimental Results -- 5 Conclusions -- References -- Embedded Implementation of an Algorithm for Online Inertia Estimation in Power Grids -- 1 Introduction -- 2 Inertia Estimation Algorithm -- 2.1 Mesh Adaptive Direct Search -- 3 Results -- 4 Conclusions -- References -- Random Weights Neural Network for Low-Cost Readout of Colorimetric Reactions: Accurate Detection of Antioxidant Levels -- 1 Introduction -- 2 Preliminaries -- 2.1 Related Works -- 2.2 Random Based Neural Networks -- 3 Case Study: Accurate Measure of Antioxidant Level in Saliva Using Colorimetric Reactions -- 4 Experiments -- 5 Conclusion -- References -- Resource-Constrained Implementation of Deep Learning Algorithms for Dynamic Touch Modality Classification -- 1 Introduction -- 2 Related Works. 3 Deep Networks for Touch Modality Classification -- 3.1 1-D Convolutional Neural Networks -- 3.2 Recurrent Neural Networks -- 4 Experimental Setup -- 4.1 Dataset -- 4.2 Implementation -- 5 Experimental Results -- 6 Conclusion -- References -- Human Recognition for Resource-Constrained Mobile Robot Applied to Covid-19 Disinfection -- 1 Introduction -- 2 Related Works -- 3 Proposed Safety Mechanism -- 4 Design and Test of the Artificial Intelligence Application -- 5 On-Field Experiments -- 6 Conclusion and Future Works -- References -- Data-Driven Methods for Aviation Safety: From Data to Knowledge -- 1 Introduction -- 2 Scope of the Work -- 3 Data Description -- 3.1 CEANITA LoS Reports -- 3.2 ENAIRE-CRIDA Contextual Information -- 4 Methods -- 5 Experimental Results -- 5.1 Automatic Information Extraction from Free Text -- 5.2 Automatic Contribution Assessment -- 6 Conclusions -- References -- Design and Deployment of an Efficient Landing Pad Detector -- 1 Introduction -- 2 Related Works -- 3 Proposal: Design of a DNN for Landing Detection -- 4 Experiments -- 4.1 Generalization Performance Validation -- 4.2 Model Optimization -- 5 Conclusions -- References -- Towards a Trade-off Between Accuracy and Computational Cost for Embedded Systems: A Tactile Sensing System for Object Classification -- 1 Introduction -- 2 Related Works -- 3 Proposal -- 3.1 Loss Function -- 3.2 Signal Conditioning -- 3.3 Feature Extraction -- 3.4 Predictors -- 4 Experimental Setup -- 4.1 System Setup -- 4.2 Objects -- 4.3 Data Collection -- 4.4 Training Strategy -- 5 Results -- 6 Conclusion -- References -- An Optimized Heart Rate Detection System Based on Low-Power Microcontroller Platforms for Biosignal Processing -- 1 Introduction and Related Work -- 2 Methodology -- 2.1 System Architecture -- 2.2 Algorithm Description -- 3 Results -- 3.1 Implementation on the PULP Platform. 3.2 Performance Analysis and Energy Consumption -- 3.3 Algorithm Accuracy -- 4 Conclusion -- References -- Sensors and Sensing Systems -- A Non-Hilbertian Inversion Technique for the Diagnosis of Faulty Elements in Antenna Arrays -- 1 Introduction -- 2 Mathematical Formulation -- 3 Results of Numerical Simulations -- 4 Conclusion -- References -- A Passive, Wireless Sensor Node for Material-Integrated Strain and Temperature Measurements in Glass Fiber Reinforced Composites -- 1 Introduction -- 1.1 Curing Temperature -- 1.2 Mechanical Loading -- 1.3 State of the Art -- 1.4 Conducted Work -- 2 System Concept -- 2.1 Temperature Measurement -- 2.2 Strain Measurement -- 3 Implementation and Fabrication -- 3.1 Strain Sensor -- 4 Results -- 4.1 Antenna and Overall System -- 4.2 Temperature Tests -- 4.3 Bending Tests -- 5 Conclusions -- References -- Multi-camera Metrology System for Shape and Position Correction of Large Fuselage Components in Aircraft Assembly -- 1 Introduction and State of the Art -- 1.1 Aircraft Section Assembly -- 1.2 Large Fuselage Panel Metrology -- 2 Multi-camera System Calibration -- 2.1 System Setup -- 2.2 Calibration Method -- 2.3 Data Acquisition -- 2.4 Numerical Rank Analysis -- 2.5 Calibration Result -- 3 Shell Deformation and Shape Adjustment -- 3.1 Measurement of Rivet Groups as Features and Setup -- 3.2 Deformation and Iterative Shape Adjustment -- 4 Conclusion and Outlook -- References -- Management of Research Field Data Within the Concept of Digital Twin -- 1 Introduction -- 2 Data Management -- 2.1 Research Data Management -- 2.2 Product Data Management and Product Life Cycle Management -- 2.3 Digital Twin -- 3 Digital Twin in Research Data Management -- 3.1 Concept of a Digital Twin for RDM -- 3.2 Derivation of Suitable Applications for Digital Twin in RDM -- 4 Exemplary Implementation of a Digital Twin for RDM. 5 Conclusion -- References -- Feed-Forward SNN for Touch Modality Prediction -- 1 Introduction -- 2 Methods -- 2.1 Dataset -- 2.2 Two Layers Spiking Neural Network -- 2.3 Synapse Model -- 3 Simulation Results -- 3.1 Synaptic Weights Learning -- 3.2 Touch Modality Classification -- 4 Conclusion -- References -- Smart Factory and Logistic Systems -- Ansaldo Energia Progetto LHP (OR6.3) -- 1 Introduction -- 2 Literature Review (State of the Art) -- 3 Case Study -- 3.1 Team Building -- 3.2 Scenario AS-IS (Current Methodology) -- 3.3 Scenario TO-BE (Innovative Methodology Proposed by the Team) -- 3.4 Benchmarking of Technologies -- 3.5 Feasibility and Sustainability Study -- 3.6 Framework of the Project Steps -- 3.7 Design of the Operational Process -- 3.8 IIOT (Industrial Internet of Things) -- 3.9 Application for Smartphones -- 3.10 Pilot Project -- 4 Results and Benefits -- 5 Conclusions -- References -- An Application of Engineering 4.0 to Hospitalized Patients -- 1 Premise -- 2 Introduction -- 3 Literature Review -- 4 Description of the Device -- 5 Other Features -- 5.1 Stasis Monitoring -- 5.2 Tremor Monitoring -- 5.3 Weight Tracking -- 5.4 Standardization -- 5.5 Software Features -- 6 Innovation -- 7 Benefits -- 8 Future Development -- 9 Case Study and Economic Sustainability -- 10 Conclusions -- References -- A DT-Based System for Predicting Process Behavior -- 1 Introduction -- 2 Conceptual Framework of the System -- 3 Development of Digital Twin System -- 3.1 Modelling of Grinding Machine -- 3.2 Modelling of Grinding Process -- 4 Installation of Developed System -- 5 Conclusion -- References -- Optimal Robot Workpiece Placement for Maximized Repeatability -- 1 Introduction -- 2 State of the Art -- 3 Approach -- 4 Experiments and Results -- 5 Discussion -- References. Enhancing Vendor Managed Inventory with the Application of Blockchain Technology. |
| Record Nr. | UNINA-9910627268703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Electronic skin : sensors and systems / / editors Ali Ibrahim and Maurizio Valle
| Electronic skin : sensors and systems / / editors Ali Ibrahim and Maurizio Valle |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Gistrup, Denmark : , : River Publishers, , [2020] |
| Descrizione fisica | 1 online resource (276 pages) |
| Disciplina | 621.3822 |
| Soggetto topico | Signal processing - Digital techniques |
| ISBN |
1-000-79695-7
1-00-333806-2 1-003-33806-2 1-000-79379-6 1-5231-3889-0 87-7022-215-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910794453303321 |
| Gistrup, Denmark : , : River Publishers, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Electronic skin : sensors and systems / / editors Ali Ibrahim and Maurizio Valle
| Electronic skin : sensors and systems / / editors Ali Ibrahim and Maurizio Valle |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Gistrup, Denmark : , : River Publishers, , [2020] |
| Descrizione fisica | 1 online resource (276 pages) |
| Disciplina | 621.3822 |
| Soggetto topico | Signal processing - Digital techniques |
| ISBN |
1-000-79695-7
1-00-333806-2 1-003-33806-2 1-000-79379-6 1-5231-3889-0 87-7022-215-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910820297403321 |
| Gistrup, Denmark : , : River Publishers, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Robotic tactile sensing : technologies and system / / Ravinder S. Dahiya, Maurizio Valle
| Robotic tactile sensing : technologies and system / / Ravinder S. Dahiya, Maurizio Valle |
| Autore | Dahiya Ravinder S |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Dordrecht ; ; New York, : Springer, 2012, c2013 |
| Descrizione fisica | 1 online resource (257 p.) |
| Disciplina | 629.892 |
| Altri autori (Persone) | ValleMaurizio |
| Soggetto topico |
Robots, Industrial
Tactile sensors - Industrial applications |
| ISBN |
1-283-93583-X
94-007-0579-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I Technologies And System -- 1 Touch Sensing - Why and Where?- 2 Tactile Sensing: Definitions and Classification -- 3 Human Tactile Sensing -- 4 System Issues, Requirements and Expectations -- 5 Tactile Sensing Technologies -- Part II Integrated Tactile Sensing -- 6 Integrated Tactile Sensing on Silicon -- 7 POSFET I – The Touch Sensing Device -- 8 POSFET II - The Tactile Sensing Chip -- Appendix A Fundamentals of Piezoelectricity -- Appendix B Modeling of Piezoelectric Polymers -- Appendix C Design of Charge/Voltage Amplifiers.- Index. |
| Record Nr. | UNINA-9910438050303321 |
Dahiya Ravinder S
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| Dordrecht ; ; New York, : Springer, 2012, c2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Tactile Sensing Technology and Systems
| Tactile Sensing Technology and Systems |
| Autore | Valle Maurizio |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (136 p.) |
| Soggetto topico | History of engineering and technology |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557605003321 |
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Valle Maurizio
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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