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[null,null,"Titolo",null,"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"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023"]
[null,null,"ISBN",null,"3-031-16281-1"]
[null,null,"Edizione",null,"[1st ed. 2023.]"]
[null,null,"Descrizione fisica",null,"1 online resource (745 pages)"]
[null,null,"Collana",null,"Lecture Notes in Networks and Systems, , 2367-3389 ; ; 546"]
[null,null,"Disciplina",null,"006.33"]
[null,null,"Soggetti",null,"Cooperating objects (Computer systems)"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Industrial engineering"]
[{"$nulls":4},"Automation"]
[{"$nulls":4},"Cyber-Physical Systems"]
[{"$nulls":4},"Machine Learning"]
[{"$nulls":4},"Industrial Automation"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"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 "]
[{"$nulls":4},"-- 4 Conclusion -- References -- Machine Learning Based Reconstruction of Process Forces -- 1 Introduction -- 2 Methods -- 2.1 Experimental Setup -- 2.2 Data Preprocessing -- 2.3 Algorithms and Model Training -- 3 Results -- 3.1 Data Complexity -- 3.2 Generalizability -- 3.3 Comparing MILLTAP700 and HSC30 -- 4 Summary and Conclusion -- References -- A Novel Rule-Based Modeling and Control Approach for the Optimization of Complex Water Distribution Networks -- 1 Introduction -- 2 Related Work -- 3 Rule Based Control -- 3.1 Modeling -- 3.2 Control -- 4 Results -- 5 Discussion -- References -- Graph-Based Segmentation and Markov Random Field for Covid-19 Infection in Lung CT Volumes -- 1 Introduction -- 2 Materials and Methods -- 2.1 Overview -- 2.2 Dataset -- 2.3 Lung Masking and Region Segmentation."]
[{"$nulls":4},"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."]
[{"$nulls":4},"3 Deep Networks for Touch Modality Classification -- 3.1 1-D Convolutional Neural Networks -- 3.2 Recurrent Neural Networks -- 4 Experimental Setup -- 4.1 Dataset -- 4.2 Implementation -- 5 Experimental Results -- 6 Conclusion -- References -- Human Recognition for Resource-Constrained Mobile Robot Applied to Covid-19 Disinfection -- 1 Introduction -- 2 Related Works -- 3 Proposed Safety Mechanism -- 4 Design and Test of the Artificial Intelligence Application -- 5 On-Field Experiments -- 6 Conclusion and Future Works -- References -- Data-Driven Methods for Aviation Safety: From Data to Knowledge -- 1 Introduction -- 2 Scope of the Work -- 3 Data Description -- 3.1 CEANITA LoS Reports -- 3.2 ENAIRE-CRIDA Contextual Information -- 4 Methods -- 5 Experimental Results -- 5.1 Automatic Information Extraction from Free Text -- 5.2 Automatic Contribution Assessment -- 6 Conclusions -- References -- Design and Deployment of an Efficient Landing Pad Detector -- 1 Introduction -- 2 Related Works -- 3 Proposal: Design of a DNN for Landing "]
[{"$nulls":4},"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."]
[{"$nulls":4},"3.2 Performance Analysis and Energy Consumption -- 3.3 Algorithm Accuracy -- 4 Conclusion -- References -- Sensors and Sensing Systems -- A Non-Hilbertian Inversion Technique for the Diagnosis of Faulty Elements in Antenna Arrays -- 1 Introduction -- 2 Mathematical Formulation -- 3 Results of Numerical Simulations -- 4 Conclusion -- References -- A Passive, Wireless Sensor Node for Material-Integrated Strain and Temperature Measurements in Glass Fiber Reinforced Composites -- 1 Introduction -- 1.1 Curing Temperature -- 1.2 Mechanical Loading -- 1.3 State of the Art -- 1.4 Conducted Work -- 2 System Concept -- 2.1 Temperature Measurement -- 2.2 Strain Measurement -- 3 Implementation and Fabrication -- 3.1 Strain Sensor -- 4 Results -- 4.1 Antenna and Overall System -- 4.2 Temperature Tests -- 4.3 Bending Tests -- 5 Conclusions -- References -- Multi-camera Metrology System for Shape and Position Correction of Large Fuselage Components in Aircraft Assembly -- 1 Introduction and State of the Art -- 1.1 Aircraft Section Assembly -- 1.2 Large Fuselage Panel Metrology -- 2 Multi-camera System Calibration -- 2.1 System Setup -- 2.2 Calibration Method -- 2.3 Data Acquisition -- 2.4 Numerical Rank Analysis -- 2.5 Calibration Result -- 3 Shell Deformation and Shape Adjustment -- 3.1 Measurement of Rivet Groups as Features and Setup -- 3.2 Deformation and Iterative Shape Adjustment -- 4 Conclusion and Outlook -- References -- Management of Research Field Data Within the Concept of Digital Twin -- 1 Introduction -- 2 Data Management -- 2.1 Research Data Management -- 2.2 Product Data Management and Product Life Cycle Management -- 2.3 Digital Twin -- 3 Digital Twin in Research Data Management -- 3.1 Concept of a Digital Twin for RDM -- 3.2 Derivation of Suitable Applications for Digital Twin in RDM -- 4 Exemplary Implementation of a Digital Twin for RDM."]
[{"$nulls":4},"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 "]
[{"$nulls":4},"Introduction -- 3 Literature Review -- 4 Description of the Device -- 5 Other Features -- 5.1 Stasis Monitoring -- 5.2 Tremor Monitoring -- 5.3 Weight Tracking -- 5.4 Standardization -- 5.5 Software Features -- 6 Innovation -- 7 Benefits -- 8 Future Development -- 9 Case Study and Economic Sustainability -- 10 Conclusions -- References -- A DT-Based System for Predicting Process Behavior -- 1 Introduction -- 2 Conceptual Framework of the System -- 3 Development of Digital Twin System -- 3.1 Modelling of Grinding Machine -- 3.2 Modelling of Grinding Process -- 4 Installation of Developed System -- 5 Conclusion -- References -- Optimal Robot Workpiece Placement for Maximized Repeatability -- 1 Introduction -- 2 State of the Art -- 3 Approach -- 4 Experiments and Results -- 5 Discussion -- References."]
[{"$nulls":4},"Enhancing Vendor Managed Inventory with the Application of Blockchain Technology."]
[null,null,null,"Sommario/riassunto","This book reports on cutting-edge research and developments focusing on integrating intelligent functionalities into materials, components, systems and products. Gathering the proceedings of the 6th International Conference on System-Integrated Intelligence (SysInt 2022), held on September 7-9, in Genova, Italy, it offers a comprehensive, multidisciplinary and applied perspective on the state-of-the art and challenges in the field of intelligent, flexible and connected systems. The book covers advanced methods and applications relating to artificial, pervasive and ubiquitous intelligence, sensors, smart factory and logistics, structural health monitoring, as well as soft robotics, cognitive systems and human-machine interaction. Giving a special focus to artificial intelligence, it extensively reports on methods and algorithms for data-driven modeling, and agent-based data processing and planning. It aims at inspiring and fostering collaboration between researchers and professionals from the different fields of electrical, manufacturing and production engineering, and materials and computer sciences. ."]