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Cybersecurity research analysis report for Europe and Japan : cybersecurity and privacy dialogue between Europe and Japan / / Anna Felkner [and six others]
| Cybersecurity research analysis report for Europe and Japan : cybersecurity and privacy dialogue between Europe and Japan / / Anna Felkner [and six others] |
| Autore | Felkner Anna |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XIV, 172 p. 111 illus., 6 illus. in color.) |
| Disciplina | 620.00285 |
| Collana | Studies in big data |
| Soggetto topico | Engineering - Data processing |
| ISBN | 3-030-62312-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Legal and Policy Aspects -- Research and Innovation Aspects -- Industry and Standardization Aspects -- Summary. |
| Record Nr. | UNINA-9910484646503321 |
Felkner Anna
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| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data-driven evolutionary optimization : integrating evolutionary computation, machine learning and data science / / Yaochu Jin, Handing Wang, Chaoli Sun
| Data-driven evolutionary optimization : integrating evolutionary computation, machine learning and data science / / Yaochu Jin, Handing Wang, Chaoli Sun |
| Autore | Jin Yaochu |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (408 pages) |
| Disciplina | 620.00285 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Engineering - Data processing
Computational intelligence Artificial intelligence |
| ISBN | 3-030-74640-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Foreword -- Preface -- Contents -- Acronyms -- Symbols -- 1 Introduction to Optimization -- 1.1 Definition of Optimization -- 1.1.1 Mathematical Formulation -- 1.1.2 Convex Optimization -- 1.1.3 Quasi-convex Function -- 1.1.4 Global and Local Optima -- 1.2 Types of Optimization Problems -- 1.2.1 Continuous Versus Discrete Optimization -- 1.2.2 Unconstrained Versus Constrained Optimization -- 1.2.3 Single Versus Multi-objective Optimization -- 1.2.4 Deterministic Versus Stochastic Optimization -- 1.2.5 Black-Box and Data-Driven Optimization -- 1.3 Multi-objective Optimization -- 1.3.1 Mathematical Formulation -- 1.3.2 Pareto Optimality -- 1.3.3 Preference Modeling -- 1.3.4 Preference Articulation -- 1.4 Handling Uncertainty in Optimization -- 1.4.1 Noise in Evaluations -- 1.4.2 Robust Optimization -- 1.4.3 Multi-scenario Optimization -- 1.4.4 Dynamic Optimization -- 1.4.5 Robust Optimization Over Time -- 1.5 Comparison of Optimization Algorithms -- 1.5.1 Algorithmic Efficiency -- 1.5.2 Performance Indicators -- 1.5.3 Reliability Assessment -- 1.5.4 Statistical Tests -- 1.5.5 Benchmark Problems -- 1.6 Summary -- References -- 2 Classical Optimization Algorithms -- 2.1 Unconstrained Optimization -- 2.1.1 The Gradient Based Method -- 2.1.2 Newton's Method -- 2.1.3 Quasi-Newton Method -- 2.2 Constrained Optimization -- 2.2.1 Penalty and Barriers -- 2.2.2 Lagrangian Multipliers -- 2.3 Derivative-Free Search Methods -- 2.3.1 Line Search and Pattern Search -- 2.3.2 Nelder-Mead Simplex Method -- 2.3.3 Model-Based Derivative-Free Search Methods -- 2.4 Deterministic Global Optimization -- 2.4.1 Lipschitzian-Based Methods -- 2.4.2 DIRECT -- 2.5 Summary -- References -- 3 Evolutionary and Swarm Optimization -- 3.1 Introduction -- 3.2 Genetic Algorithms -- 3.2.1 Definitions -- 3.2.2 Representation -- 3.2.3 Crossover and Mutation.
3.2.4 Environmental Selection -- 3.3 Real-Coded Genetic Algorithms -- 3.3.1 Real-Valued Representation -- 3.3.2 Blended Crossover -- 3.3.3 Simulated Binary Crossover and Polynomial Mutation -- 3.4 Evolution Strategies -- 3.4.1 (1+1)-ES -- 3.4.2 Evolution Strategies with One Global Step Size -- 3.4.3 Evolution Strategies with Individual Step Sizes -- 3.4.4 Reproduction and Environmental Selection -- 3.4.5 Covariance Matrix Adaptation Evolution Strategy -- 3.5 Genetic Programming -- 3.5.1 Tree-Based Genetic Programming -- 3.5.2 Initialization -- 3.5.3 Crossover and Mutation -- 3.6 Ant Colony Optimization -- 3.6.1 Overall Framework -- 3.6.2 Extensions -- 3.7 Differential Evolution -- 3.7.1 Initialization -- 3.7.2 Differential Mutation -- 3.7.3 Differential Crossover -- 3.7.4 Environmental Selection -- 3.8 Particle Swarm Optimization -- 3.8.1 Canonical Particle Swarm Optimization -- 3.8.2 Competitive Swarm Optimizer -- 3.8.3 Social Learning Particle Swarm Optimizer -- 3.9 Memetic Algorithms -- 3.9.1 Basic Concepts -- 3.9.2 Lamarckian Versus Baldwinian Approaches -- 3.9.3 Multi-objective Memetic Algorithms -- 3.9.4 Baldwin Effect Versus Hiding Effect -- 3.10 Estimation of Distribution Algorithms -- 3.10.1 A Simple EDA -- 3.10.2 EDAs for Discrete Optimization -- 3.10.3 EDAs for Continuous Optimization -- 3.10.4 Multi-objective EDAs -- 3.11 Parameter Adaptation and Algorithm Selection -- 3.11.1 Automated Parameter Tuning -- 3.11.2 Hyper-heuristics -- 3.11.3 Fitness Landscape Analysis -- 3.11.4 Automated Recommendation Systems -- 3.12 Summary -- References -- 4 Introduction to Machine Learning -- 4.1 Machine Learning Problems -- 4.1.1 Clustering -- 4.1.2 Dimension Reduction -- 4.1.3 Regression -- 4.1.4 Classification -- 4.2 Machine Learning Models -- 4.2.1 Polynomials -- 4.2.2 Multi-layer Perceptrons -- 4.2.3 Radial-Basis-Function Networks. 4.2.4 Support Vector Machines -- 4.2.5 Gaussian Processes -- 4.2.6 Decision Trees -- 4.2.7 Fuzzy Rule Systems -- 4.2.8 Ensembles -- 4.3 Learning Algorithms -- 4.3.1 Supervised Learning -- 4.3.2 Unsupervised Learning -- 4.3.3 Reinforcement Learning -- 4.3.4 Advanced Learning Algorithms -- 4.4 Multi-objective Machine Learning -- 4.4.1 Single- and Multi-objective Learning -- 4.4.2 Multi-objective Clustering, Feature Selection and Extraction -- 4.4.3 Multi-objective Ensemble Generation -- 4.5 Deep Learning Models -- 4.5.1 Convolutional Neural Networks -- 4.5.2 Long Short-Term Memory Networks -- 4.5.3 Autoassociative Neural Networks and Autoencoder -- 4.5.4 Generative Adversarial Networks -- 4.6 Synergies Between Evolution and Learning -- 4.6.1 Evolutionary Learning -- 4.6.2 Learning for Evolutionary Optimization -- 4.7 Summary -- References -- 5 Data-Driven Surrogate-Assisted Evolutionary Optimization -- 5.1 Introduction -- 5.2 Offline and Online Data-Driven Optimization -- 5.2.1 Offline Data-Driven Optimization -- 5.2.2 Online Data-Driven Optimization -- 5.3 Online Surrogate Management Methods -- 5.3.1 Population-Based Model Management -- 5.3.2 Generation-Based Model Management -- 5.3.3 Individual-Based Model Management -- 5.3.4 Trust Region Method for Memetic Algorithms -- 5.4 Bayesian Model Management -- 5.4.1 Acquisition Functions -- 5.4.2 Evolutionary Bayesian Optimization -- 5.4.3 Bayesian Evolutionary Optimization -- 5.5 Bayesian Constrained Optimization -- 5.5.1 Acquisition Function for Constrained Optimization -- 5.5.2 Two-Stage Acquisition Functions -- 5.6 Surrogate-Assisted Robust Optimization -- 5.6.1 Bi-objective Formulation of Robust Optimization -- 5.6.2 Surrogate Construction -- 5.7 Performance Indicators for Surrogates -- 5.7.1 Accuracy -- 5.7.2 Selection-based Performance Indicator -- 5.7.3 Rank Correlation -- 5.7.4 Fitness Correlation. 5.8 Summary -- References -- 6 Multi-surrogate-Assisted Single-objective Optimization -- 6.1 Introduction -- 6.2 Local and Global Surrogates Assisted Optimization -- 6.2.1 Ensemble Surrogate Model -- 6.2.2 Multi-surrogate for Single-objective Memetic Optimization -- 6.2.3 Multi-surrogate for Multi-objective Memetic Optimization -- 6.2.4 Trust Region Method Assisted Local Search -- 6.2.5 Experimental Results -- 6.3 Two-Layer Surrogate-Assisted Particle Swarm Optimization -- 6.3.1 Global Surrogate Model -- 6.3.2 Local Surrogate Model -- 6.3.3 Fitness Estimation -- 6.3.4 Surrogate Management -- 6.3.5 Experimental Results and Discussions -- 6.4 Committee Surrogate Assisted Particle Swarm Optimization -- 6.4.1 Committee of Surrogate Models -- 6.4.2 Infill Sampling Criteria -- 6.4.3 Overall Framework -- 6.4.4 Experimental Results on Benchmark Problems -- 6.5 Hierarchical Surrogate-Assisted Multi-scenario Optimization -- 6.5.1 Multi-scenario Airfoil Optimization -- 6.5.2 Hierarchical Surrogates for Multi-scenario Optimization -- 6.6 Adaptive Surrogate Selection -- 6.6.1 Basic Idea -- 6.6.2 Probabilistic Model for Surrogate Selection -- 6.7 Summary -- References -- 7 Surrogate-Assisted Multi-objective Evolutionary Optimization -- 7.1 Evolutionary Multi-objective Optimization -- 7.1.1 Hypothesis and Methodologies -- 7.1.2 Decomposition Approaches -- 7.1.3 Dominance Based Approaches -- 7.1.4 Performance Indicator Based Approaches -- 7.2 Gaussian Process Assisted Randomized Weighted Aggregation -- 7.2.1 Challenges for Surrogate-Assisted Multi-objective Optimization -- 7.2.2 Efficient Global Optimization Algorithm -- 7.2.3 Extension to Multi-objective Optimization -- 7.3 Gaussian Process Assisted Decomposition-Based Multi-objective Optimization -- 7.3.1 MOEA/D -- 7.3.2 Main Framework -- 7.3.3 Local Surrogate Models -- 7.3.4 Surrogate Management. 7.3.5 Discussions -- 7.4 High-Dimensional Multi-objective Bayesian Optimization -- 7.4.1 Main Challenges -- 7.4.2 Heterogeneous Ensemble Construction -- 7.4.3 Pareto Approach to Multi-objective Bayesian Optimization -- 7.4.4 Overall Framework -- 7.5 Summary -- References -- 8 Surrogate-Assisted Many-Objective Evolutionary Optimization -- 8.1 New Challenges in Many-Objective Optimization -- 8.1.1 Introduction -- 8.1.2 Diversity Versus Preferences -- 8.1.3 Search for Knee Solutions -- 8.1.4 Solving Problems with Irregular Pareto Fronts -- 8.2 Evolutionary Many-Objective Optimization Algorithms -- 8.2.1 Reference Vector Guided Many-Objective Optimization -- 8.2.2 A Knee-Driven Many-Objective Optimization Algorithm -- 8.2.3 A Two-Archive Algorithm for Many-Objective Optimization -- 8.2.4 Corner Sort for Many-Objective Optimization -- 8.3 Gaussian Process Assisted Reference Vector Guided Many-Objective Optimization -- 8.3.1 Surrogate Management -- 8.3.2 Archive Maintenance -- 8.4 Classification Surrogate Assisted Many-Objective Optimization -- 8.4.1 Main Framework -- 8.4.2 Radial Projection Based Selection -- 8.4.3 Reference Set Based Dominance Relationship Prediction -- 8.4.4 Surrogate Management -- 8.4.5 Surrogate-Assisted Environmental Selection -- 8.5 Dropout Neural Network Assisted Many-Objective Optimization -- 8.5.1 AR-MOEA -- 8.5.2 Efficient Deep Dropout Neural Networks -- 8.5.3 Model Management -- 8.5.4 Overall Framework of EDN-ARMOEA -- 8.5.5 Operational Optimization in Crude Oil Distillation Units -- 8.6 Summary -- References -- 9 Knowledge Transfer in Data-Driven Evolutionary Optimization -- 9.1 Introduction -- 9.2 Co-Training for Surrogate-Assisted Interactive Optimization -- 9.2.1 Overall Framework -- 9.2.2 Surrogate for Interval Prediction -- 9.2.3 Fitness Estimation -- 9.2.4 An Improved CSSL -- 9.2.5 Surrogate Management. 9.3 Semi-Supervised Learning Assisted Particle Swarm Optimization. |
| Record Nr. | UNINA-9910488717903321 |
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Jin Yaochu
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| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Datenwirtschaft und Datentechnologie [[electronic resource] ] : Wie aus Daten Wert entsteht / / herausgegeben von Marieke Rohde, Matthias Bürger, Kristina Peneva, Johannes Mock
| Datenwirtschaft und Datentechnologie [[electronic resource] ] : Wie aus Daten Wert entsteht / / herausgegeben von Marieke Rohde, Matthias Bürger, Kristina Peneva, Johannes Mock |
| Autore | Rohde Marieke |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Berlin, Heidelberg, : Springer Nature, 2022 |
| Descrizione fisica | 1 online resource (XI, 303 S. 31 Abb., 19 Abb. in Farbe.) |
| Disciplina | 620.00285 |
| Soggetto topico |
Engineering—Data processing
Electronic commerce Database management Data protection Data Engineering E-Business Database Management Data and Information Security |
| Soggetto non controllato |
Datenmonetarisierung
Datenwirtschaft Datentechnologie Datenverträge Data Governance Datenvertragsrecht Informationssicherheit Datenschutz |
| ISBN | 3-662-65232-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Nota di contenuto | Einleitung: Wie aus Daten Wert entsteht - Datenwirtschaft und Datentechnologie -- Teil 1 - Daten als Wirtschaftsgut: Einleitung: Daten als Wirtschaftsgut -- Grenzkostenfreie IoT-Services in den Datenmarktplätzen der Zukunft -- Besonderheiten datenbasierter Geschäftsmodellentwicklung -- Das Dilemma der Preisbildung datenbasierter Geschäftsmodelle in der produzierenden Industrie -- Bewertung von Unternehmensdatenbeständen: Wege zur Wertermittlung des wertvollsten immateriellen Vermögensgegenstandes -- Teil 2 - Datenrecht: Einleitung: Datenrecht -- Compliant Programming - Rechtssicherer Einsatz von Blockchains und anderen Datentechnologien -- Data Governance und Datenökonomie - Datenteilung in Ökosystemen rechtskonform gestalten -- Herausforderung und Grenzen bei der Gestaltung von Datenverträgen -- Vertragsdurchführung mit Smart Contracts - rechtliche Rahmenbedingungen und Herausforderungen -- Teil 3 - Kontrolle über Daten: Einleitung: Kontrolle über Daten -- Datenhoheit und Datenschutz aus Nutzer-, Verbraucher- und Patientenperspektive -- Verfahren zur Anonymisierung und Pseudonymisierung von Daten -- Datensouveränität in Digitalen Ökosystemen: Daten nutzbar machen, Kontrolle behalten -- Teil 4 - Vertrauen in Daten: Einleitung: Vertrauen in Daten -- Unternehmensdaten - Informationen aus gewachsenen, komplexen Systemen herausarbeiten -- Datenqualitätssicherung entloang der Datenwertschöpfungskette im Industriekontext -- Nationale und internationale Standardisierung und Zertifizierung von Datendiensten. |
| Record Nr. | UNINA-9910623993603321 |
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Rohde Marieke
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| Berlin, Heidelberg, : Springer Nature, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Dual phase evolution / / David G. Green, Jing Liu, Hussein A. Abbass
| Dual phase evolution / / David G. Green, Jing Liu, Hussein A. Abbass |
| Autore | Green David G |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | New York : , : Springer, , 2014 |
| Descrizione fisica | 1 online resource (xxvi, 196 pages) : illustrations (some color) |
| Disciplina |
004.6
519 620 620.00285 |
| Collana | Gale eBooks |
| Soggetto topico | Phase transformations (Statistical physics) |
| ISBN | 1-4419-8423-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Dual Phase Evolution -- Network Theory -- Problem Solving and Evolutionary Computation -- DPE for Network Generation -- DPE Networks and Evolutionary Dynamics -- DPE for Problem Solving -- Conclusion and Future Work. |
| Record Nr. | UNINA-9910299742003321 |
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Green David G
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| New York : , : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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EG-ICE 2021 Workshop on Intelligent Computing in Engineering / / Jimmy Abualdenien [and three others]
| EG-ICE 2021 Workshop on Intelligent Computing in Engineering / / Jimmy Abualdenien [and three others] |
| Autore | Abualdenien Jimmy |
| Pubbl/distr/stampa | Berlin : , : Universitätsverlag der TU Berlin, , 2021 |
| Descrizione fisica | 1 online resource (610 pages) |
| Disciplina | 620.00285 |
| Soggetto topico | Engineering - Data processing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | About the Special Issue Editor -- Preface to "Youth Studies" -- The Generational Dimension in Transitions: A Theoretical Review -- In Transition ... Where to? Rethinking Life Stages and Intergenerational Relations of Italian Youth -- Transitions to Adulthood and Generational Change in Portugal -- Age, Period, and Cohort Differences in Work Centrality and Work Values -- Media and Generations in Portugal -- A Generational Approach to Somatic Cultures: Modes of Attention to the Young Body in Contemporary Portuguese Society -- Young People's Critical Politicization in Spain in the Great Recession: A Generational Reconfiguration? -- Neoliberalism and the Unfolding Patterns of Young People's Political Engagement and Political Participation in Contemporary Britain -- Towards a Conceptualization of Young People's Political Engagement: A Qualitative Focus Group Study -- Young People Engaging in Volunteering: Questioning a Generational Trend in an Individualized Society -- Political Consumerism as a Neoliberal Response to Youth Political Disengagement -- Still Troubled: Tunisia's Youth During and Since the Revolution of 2011 -- A Global Generation? Youth Studies in a Postcolonial World.Application of AI methods for the integration of structural engineering knowledge in early planning phases -- Analysis of the early-design timber models for sound insulation analysis -- Framework proposal for automated generation of production layout scenarios: A parametric design technique to connect production planning and structural industrial building design -- Component-based machine learning for predicting representative time-series of energy performance in building design -- A hybrid-model time-series forecasting approach for reducing the building energy performance gap -- Deep learning approach for predicting pedestrian dynamics for transportation hubs in early design phases -- Implementing Information Container for linked Document Delivery (ICDD) as a micro-service -- An explanatory use case for the implementation of Information Container for linked Document Delivery in Common Data Environments -- Automatic generation of ISO 19650 compliant templates based on standard construction contracts -- Graph-based version control for asynchronous BIM level 3 collaboration -- Image-documentation of existing buildings using a server-based BIM Collaboration Format workflow -- Unlocking the full potential of Building Information Modelling by applying the principles of Industry 4.0 and Data Governance such as COBIT -- Data Quality in Building Productivity Assessment -- the Case of Acute Care Environments -- An Approach for Cross-Data Querying and Spatial Reasoning of Tunnel Alignments -- Ontological reasoning in factory-BIM: An industrial case study for an automotive OEM -- IFCNet: A Benchmark Dataset for IFC Entity Classification -- IFC based Framework for Generating, Modeling and Visualizing Spalling Defect Geometries -- Automatic generation of IFC models from point cloud data of transport infrastructure environments -- A Proposed Ontology for Knowledge Representation in Designing Indoor Inspection Robot Systems -- Bidirectional coupling of Building Information Modeling and Building Simulation using ontologies -- Building Ontology for Preventive Fire Safety -- A Framework for Intelligent Building Information Spoken Dialogue System (iBISDS) -- A Design Recommender System: A Rules-based Approach to Exploit Natural Language Imprecision using Belief and Fuzzy Theories -- Towards the Adoption of Vision Intelligence for Construction Safety: Grounded Theory Methodology based Safety Regulations Analysis -- Concept to support the estimation of static load capacity on construction site using in-situ AR-based methods -- Using eye-tracking to compare the experienced safety supervisors and novice in identifying job site hazards under a VR environment -- Virtual Reality Platform for 3D Irregular Packing Problem -- Reference Architectural Model of Buildings for Virtual City Creator -- Data shortage for urban energy simulations? An empirical survey on data availability and enrichment methods using machine learning? -- End-to-End Framework in Support of Virtual Design-EngineeringManufacturing-Construction Space Exploration -- Accuracy Aspects when Transforming a Boundary Representation of Solids into a Tetrahedral Space Partition -- The influence of topology optimisation's design space-from shell to volume-on the generation of structural systems -- Qualifying spatial information for underground volumes -- An algorithmic BIM approach to advance concrete printing -- A methodological approach to generate robot control algorithms from BIMModels -- Multi-Level LoD Parametric Design Approach in AEC for Robot-Oriented Construction -- Design and implementation of an optimal sensor system as part of a Digital Twin for a rotary bending machine -- The Effects of Fracture Energy on the Interfacial Strength of Self-Healing Concrete -- A Performance Metric for the Evaluation of Thermal Anomaly Identification with Ill-Defined Ground Truth -- Areas of Interest -- Semantic description of component locations for damage assessment -- Deep Neural Networks for visual bridge inspections and defect visualisation in Civil Engineering -- Automated decision making in structural health monitoring using explainable artificial intelligence -- VOX2BIM -- A Fast Method for Automated Point Cloud Segmentation -- Automated Generation of Railway Track Geometric Digital Twins (RailGDT) from Airborne LiDAR Data -- Deriving Digital Twin Models of Existing Bridges from Point Cloud Data Using Parametric Models and Metaheuristic Algorithms -- Building a balanced and well-rounded dataset for railway asset detection -- Panorama-to-digital twin registration using semantic features -- AI-based thermal bridge detection of building rooftops on district scale using aerial images -- Image Captioning in Chinese for Construction Activity Scenes Understanding Using a Pre-trained Cross-modal Language Model -- Process Pattern-based Hybrid Simulation for Emission Estimation of the Construction Processes -- Automatic image analysis of mineral construction and demolition waste (CDW) using machine learning methods and deep learning -- Fast Crack Detection Using Convolutional Neural Network -- An Integrated Computational GIS Platform for UAV-based Remote Building Façade Inspection -- A Computer Vision Approach for Building Facade Component Segmentation on 3D Point Cloud Models Reconstructed by Aerial Images -- Feasibility Study of Urban Flood Mapping Using Traffic Signs for Route Optimization -- Developing indicators for measuring the effectiveness of visualizations applied in construction safety management using eye-tracking -- Real-time LiDAR for Monitoring Construction Worker Presence Near Hazards and in Work Areas in a Virtual Reality Environment. |
| Record Nr. | UNINA-9910516106703321 |
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Abualdenien Jimmy
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| Berlin : , : Universitätsverlag der TU Berlin, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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EG-ICE 2021 Workshop on Intelligent Computing in Engineering / / Jimmy Abualdenien [and three others], editors
| EG-ICE 2021 Workshop on Intelligent Computing in Engineering / / Jimmy Abualdenien [and three others], editors |
| Pubbl/distr/stampa | Berlin : , : Universitätsverlag der TU Berlin, , 2021 |
| Descrizione fisica | 1 online resource (610 pages) |
| Disciplina | 620.00285 |
| Soggetto topico | Engineering - Data processing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | About the Special Issue Editor -- Preface to "Youth Studies" -- The Generational Dimension in Transitions: A Theoretical Review -- In Transition ... Where to? Rethinking Life Stages and Intergenerational Relations of Italian Youth -- Transitions to Adulthood and Generational Change in Portugal -- Age, Period, and Cohort Differences in Work Centrality and Work Values -- Media and Generations in Portugal -- A Generational Approach to Somatic Cultures: Modes of Attention to the Young Body in Contemporary Portuguese Society -- Young People's Critical Politicization in Spain in the Great Recession: A Generational Reconfiguration? -- Neoliberalism and the Unfolding Patterns of Young People's Political Engagement and Political Participation in Contemporary Britain -- Towards a Conceptualization of Young People's Political Engagement: A Qualitative Focus Group Study -- Young People Engaging in Volunteering: Questioning a Generational Trend in an Individualized Society -- Political Consumerism as a Neoliberal Response to Youth Political Disengagement -- Still Troubled: Tunisia's Youth During and Since the Revolution of 2011 -- A Global Generation? Youth Studies in a Postcolonial World.Application of AI methods for the integration of structural engineering knowledge in early planning phases -- Analysis of the early-design timber models for sound insulation analysis -- Framework proposal for automated generation of production layout scenarios: A parametric design technique to connect production planning and structural industrial building design -- Component-based machine learning for predicting representative time-series of energy performance in building design -- A hybrid-model time-series forecasting approach for reducing the building energy performance gap -- Deep learning approach for predicting pedestrian dynamics for transportation hubs in early design phases -- Implementing Information Container for linked Document Delivery (ICDD) as a micro-service -- An explanatory use case for the implementation of Information Container for linked Document Delivery in Common Data Environments -- Automatic generation of ISO 19650 compliant templates based on standard construction contracts -- Graph-based version control for asynchronous BIM level 3 collaboration -- Image-documentation of existing buildings using a server-based BIM Collaboration Format workflow -- Unlocking the full potential of Building Information Modelling by applying the principles of Industry 4.0 and Data Governance such as COBIT -- Data Quality in Building Productivity Assessment - the Case of Acute Care Environments -- An Approach for Cross-Data Querying and Spatial Reasoning of Tunnel Alignments -- Ontological reasoning in factory-BIM: An industrial case study for an automotive OEM -- IFCNet: A Benchmark Dataset for IFC Entity Classification -- IFC based Framework for Generating, Modeling and Visualizing Spalling Defect Geometries -- Automatic generation of IFC models from point cloud data of transport infrastructure environments -- A Proposed Ontology for Knowledge Representation in Designing Indoor Inspection Robot Systems -- Bidirectional coupling of Building Information Modeling and Building Simulation using ontologies -- Building Ontology for Preventive Fire Safety -- A Framework for Intelligent Building Information Spoken Dialogue System (iBISDS) -- A Design Recommender System: A Rules-based Approach to Exploit Natural Language Imprecision using Belief and Fuzzy Theories -- Towards the Adoption of Vision Intelligence for Construction Safety: Grounded Theory Methodology based Safety Regulations Analysis -- Concept to support the estimation of static load capacity on construction site using in-situ AR-based methods -- Using eye-tracking to compare the experienced safety supervisors and novice in identifying job site hazards under a VR environment -- Virtual Reality Platform for 3D Irregular Packing Problem -- Reference Architectural Model of Buildings for Virtual City Creator -- Data shortage for urban energy simulations? An empirical survey on data availability and enrichment methods using machine learning? -- End-to-End Framework in Support of Virtual Design-EngineeringManufacturing-Construction Space Exploration -- Accuracy Aspects when Transforming a Boundary Representation of Solids into a Tetrahedral Space Partition -- The influence of topology optimisation's design space-from shell to volume-on the generation of structural systems -- Qualifying spatial information for underground volumes -- An algorithmic BIM approach to advance concrete printing -- A methodological approach to generate robot control algorithms from BIMModels -- Multi-Level LoD Parametric Design Approach in AEC for Robot-Oriented Construction -- Design and implementation of an optimal sensor system as part of a Digital Twin for a rotary bending machine -- The Effects of Fracture Energy on the Interfacial Strength of Self-Healing Concrete -- A Performance Metric for the Evaluation of Thermal Anomaly Identification with Ill-Defined Ground Truth -- Areas of Interest - Semantic description of component locations for damage assessment -- Deep Neural Networks for visual bridge inspections and defect visualisation in Civil Engineering -- Automated decision making in structural health monitoring using explainable artificial intelligence -- VOX2BIM - A Fast Method for Automated Point Cloud Segmentation -- Automated Generation of Railway Track Geometric Digital Twins (RailGDT) from Airborne LiDAR Data -- Deriving Digital Twin Models of Existing Bridges from Point Cloud Data Using Parametric Models and Metaheuristic Algorithms -- Building a balanced and well-rounded dataset for railway asset detection -- Panorama-to-digital twin registration using semantic features -- AI-based thermal bridge detection of building rooftops on district scale using aerial images -- Image Captioning in Chinese for Construction Activity Scenes Understanding Using a Pre-trained Cross-modal Language Model -- Process Pattern-based Hybrid Simulation for Emission Estimation of the Construction Processes -- Automatic image analysis of mineral construction and demolition waste (CDW) using machine learning methods and deep learning -- Fast Crack Detection Using Convolutional Neural Network -- An Integrated Computational GIS Platform for UAV-based Remote Building Façade Inspection -- A Computer Vision Approach for Building Facade Component Segmentation on 3D Point Cloud Models Reconstructed by Aerial Images -- Feasibility Study of Urban Flood Mapping Using Traffic Signs for Route Optimization -- Developing indicators for measuring the effectiveness of visualizations applied in construction safety management using eye-tracking -- Real-time LiDAR for Monitoring Construction Worker Presence Near Hazards and in Work Areas in a Virtual Reality Environment. |
| Record Nr. | UNINA-9910774736303321 |
| Berlin : , : Universitätsverlag der TU Berlin, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Engineering applications : analytical and numerical calculation with MATLAB / / Mihai Dupac, Dan B. Marghitu
| Engineering applications : analytical and numerical calculation with MATLAB / / Mihai Dupac, Dan B. Marghitu |
| Autore | Dupac Mihai |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , [2021] |
| Descrizione fisica | 1 online resource (371 pages) |
| Disciplina | 620.00285 |
| Soggetto topico | Engineering - Data processing |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-119-09363-5
1-119-09365-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910554837703321 |
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Dupac Mihai
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| Hoboken, New Jersey : , : Wiley, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Engineering applications : analytical and numerical calculation with MATLAB / / Mihai Dupac, Dan B. Marghitu
| Engineering applications : analytical and numerical calculation with MATLAB / / Mihai Dupac, Dan B. Marghitu |
| Autore | Dupac Mihai |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , [2021] |
| Descrizione fisica | 1 online resource (371 pages) |
| Disciplina | 620.00285 |
| Soggetto topico | Engineering - Data processing |
| ISBN |
1-119-09363-5
1-119-09365-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910829961103321 |
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Dupac Mihai
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| Hoboken, New Jersey : , : Wiley, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Engineering computations and modeling in MATLAB®/Simulink® [[electronic resource] /] / Oleg A. Yakimenko
| Engineering computations and modeling in MATLAB®/Simulink® [[electronic resource] /] / Oleg A. Yakimenko |
| Autore | Yakimenko Oleg A |
| Pubbl/distr/stampa | Reston, Va., : American Institute of Aeronautics and Astronautics, c2011 |
| Descrizione fisica | 1 online resource (938 p.) |
| Disciplina | 620.00285 |
| Collana | AIAA education series |
| Soggetto topico |
Engineering mathematics - Data processing
Computer programming |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-60086-783-9
1-62198-102-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910457291203321 |
|
Yakimenko Oleg A
|
||
| Reston, Va., : American Institute of Aeronautics and Astronautics, c2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Engineering computations and modeling in MATLAB®/Simulink® [[electronic resource] /] / Oleg A. Yakimenko
| Engineering computations and modeling in MATLAB®/Simulink® [[electronic resource] /] / Oleg A. Yakimenko |
| Autore | Yakimenko Oleg A |
| Pubbl/distr/stampa | Reston, Va., : American Institute of Aeronautics and Astronautics, c2011 |
| Descrizione fisica | 1 online resource (938 p.) |
| Disciplina | 620.00285 |
| Collana | AIAA education series |
| Soggetto topico |
Engineering mathematics - Data processing
Computer programming |
| ISBN |
1-60086-783-9
1-62198-102-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910778933003321 |
|
Yakimenko Oleg A
|
||
| Reston, Va., : American Institute of Aeronautics and Astronautics, c2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
