Advanced Teleoperation and Robot Learning for Dexterous Manipulation / / by Chenguang Yang, Zhenyu Lu, Ning Wang
| Advanced Teleoperation and Robot Learning for Dexterous Manipulation / / by Chenguang Yang, Zhenyu Lu, Ning Wang |
| Autore | Yang Chenguang |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XIV, 200 p. 108 illus., 105 illus. in color.) |
| Disciplina | 629.8 |
| Collana | Springer Tracts in Advanced Robotics |
| Soggetto topico |
Automatic control
Robotics Automation Computational intelligence Control, Robotics, Automation Control and Systems Theory Computational Intelligence |
| ISBN | 3-031-78501-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Single-Leader-Dual-Follower Teleoperation for Cooperative Manipulation -- Motion Regulation Solutions for Holding and Moving Objects in Single-Leader-Dual-Follower Teleoperation -- Single-Leader-Dual-Follower Cooperative Manipulation of Deformable Objects -- Part II: Integrated Autonomous Learning and Control Framework -- A Small Opening Workspace Control Strategy for Redundant Manipulator Based on Remote Center of Movement Method -- Motor Learning and Generalization using Broad Learning Adaptive Neural Control -- Hybrid Learning and Control using Improved Dynamical Movement Primitive and Adaptive Neural Network Control -- Part III: Bio-inspired Autonomous Learning for Dexterous Manipulations -- A Constrained DMP Framework for Robot Skills Learning and Generalization from Human Demonstrations- Incremental Motor Skill Learning and Generalization From Human Dynamic Reactions Based on Dynamic Movement Primitive and Fuzzy Logic System -- Motor Learning and Generalization using Broad Learning Adaptive Neural Control. |
| Record Nr. | UNINA-9910996493603321 |
Yang Chenguang
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence in Education : 24th International Conference, AIED 2023, Tokyo, Japan, July 3–7, 2023, Proceedings / / edited by Ning Wang, Genaro Rebolledo-Mendez, Noboru Matsuda, Olga C. Santos, Vania Dimitrova
| Artificial Intelligence in Education : 24th International Conference, AIED 2023, Tokyo, Japan, July 3–7, 2023, Proceedings / / edited by Ning Wang, Genaro Rebolledo-Mendez, Noboru Matsuda, Olga C. Santos, Vania Dimitrova |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (863 pages) |
| Disciplina | 929.605 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Database management Data mining Application software User interfaces (Computer systems) Human-computer interaction Education - Data processing Artificial Intelligence Database Management Data Mining and Knowledge Discovery Computer and Information Systems Applications User Interfaces and Human Computer Interaction Computers and Education |
| ISBN | 3-031-36272-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- International Artificial Intelligence in Education Society -- Contents -- Full Papers -- Machine-Generated Questions Attract Instructors When Acquainted with Learning Objectives -- 1 Introduction -- 2 Related Work -- 3 Overview of Quadl -- 4 Evaluation Study -- 4.1 Model Implementation -- 4.2 Survey Study -- 5 Results -- 5.1 Instructor Survey -- 5.2 Accuracy of the Answer Prediction Model -- 5.3 Qualitative Analysis of Questions Generated by Quadl -- 6 Discussion -- 7 Conclusion -- References -- SmartPhone: Exploring Keyword Mnemonic with Auto-generated Verbal and Visual Cues -- 1 Introduction -- 2 Methodology -- 2.1 Pipeline for Auto-generating Verbal and Visual Cues -- 3 Experimental Evaluation -- 3.1 Experimental Design -- 3.2 Experimental Conditions -- 3.3 Evaluation Metrics -- 3.4 Results and Discussion -- 4 Conclusions and Future Work -- References -- Implementing and Evaluating ASSISTments Online Math Homework Support At large Scale over Two Years: Findings and Lessons Learned -- 1 Introduction -- 2 Background -- 2.1 The ASSISTments Program -- 2.2 Theoretical Framework -- 2.3 Research Design -- 3 Implementation of ASSISTments at Scale -- 3.1 Recruitment -- 3.2 Understanding School Context -- 3.3 Training and Continuous Support -- 3.4 Specifying a Use Model and Expectation -- 3.5 Monitoring Dosage and Evaluating Quality of Implementation -- 4 Data Collection -- 5 Analysis and Results -- 6 Conclusion -- References -- The Development of Multivariable Causality Strategy: Instruction or Simulation First? -- 1 Introduction -- 2 Literature Review -- 2.1 Learning Multivariable Causality Strategy with Interactive Simulation -- 2.2 Problem Solving Prior to Instruction Approach to Learning -- 3 Method -- 3.1 Participants -- 3.2 Design and Procedure -- 3.3 Materials -- 3.4 Data Sources and Analysis -- 4 Results.
5 Discussion -- 6 Conclusions, Limitations, and Future Work -- References -- Content Matters: A Computational Investigation into the Effectiveness of Retrieval Practice and Worked Examples -- 1 Introduction -- 2 A Computational Model of Human Learning -- 3 Simulation Studies -- 3.1 Data -- 3.2 Method -- 4 Results -- 4.1 Pretest -- 4.2 Learning Gain -- 4.3 Error Type -- 5 General Discussion -- 6 Future Work -- 7 Conclusions -- References -- Investigating the Utility of Self-explanation Through Translation Activities with a Code-Tracing Tutor -- 1 Introduction -- 1.1 Code Tracing: Related Work -- 2 Current Study -- 2.1 Translation Tutor vs. Standard Tutor -- 2.2 Participants -- 2.3 Materials -- 2.4 Experimental Design and Procedure -- 3 Results -- 4 Discussion and Future Work -- References -- Reducing the Cost: Cross-Prompt Pre-finetuning for Short Answer Scoring -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Task Definition -- 3.2 Scoring Model -- 4 Method -- 5 Experiment -- 5.1 Dataset -- 5.2 Setting -- 5.3 Results -- 5.4 Analysis: What Does the SAS Model Learn from Pre-finetuning on Cross Prompt Data? -- 6 Conclusion -- References -- Go with the Flow: Personalized Task Sequencing Improves Online Language Learning -- 1 Introduction -- 2 Related Work -- 2.1 Adaptive Item Sequencing -- 2.2 Individual Adjustment of Difficulty Levels in Language Learning -- 3 Methodology -- 3.1 Online-Controlled Experiment -- 4 Results -- 4.1 H1 - Incorrect Answers -- 4.2 H2 - Dropout -- 4.3 H3 - User Competency -- 5 Discussion -- 6 Conclusion -- References -- Automated Hand-Raising Detection in Classroom Videos: A View-Invariant and Occlusion-Robust Machine Learning Approach -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data -- 3.2 Skeleton-Based Hand-Raising Detection -- 3.3 Automated Hand-Raising Annotation -- 4 Results. 4.1 Relation Between Hand-Raising and Self-reported Learning Activities -- 4.2 Hand-Raising Classification -- 4.3 Automated Hand-Raising Annotation -- 5 Discussion -- 6 Conclusion -- References -- Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets -- 1 Introduction -- 2 Background -- 2.1 Educational Dialogue Act Classification -- 2.2 AUC Maximization on Imbalanced Data Distribution -- 3 Methods -- 3.1 Dataset -- 3.2 Scheme for Educational Dialogue Act -- 3.3 Approaches for Model Optimization -- 3.4 Model Architecture by AUC Maximization -- 3.5 Study Setup -- 4 Results -- 4.1 AUC Maximization Under Low-Resource Scenario -- 4.2 AUC Maximization Under Imbalanced Scenario -- 5 Discussion and Conclusion -- References -- What and How You Explain Matters: Inquisitive Teachable Agent Scaffolds Knowledge-Building for Tutor Learning -- 1 Introduction -- 2 SimStudent: The Teachable Agent -- 3 Constructive Tutee Inquiry -- 3.1 Motivation -- 3.2 Response Classifier -- 3.3 Dialog Manager -- 4 Method -- 5 Results -- 5.1 RQ1: Can we Identify Knowledge-Building and Knowledge-Telling from Tutor Responses to Drive CTI? -- 5.2 RQ2: Does CTI Facilitate Tutor Learning? -- 5.3 RQ3: Does CTI Help Tutors Learn to Engage in Knowledge-Building? -- 6 Discussion -- 7 Conclusion -- References -- Help Seekers vs. Help Accepters: Understanding Student Engagement with a Mentor Agent -- 1 Introduction -- 2 Mr. Davis and Betty's Brain -- 3 Methods -- 3.1 Participants -- 3.2 Interaction Log Data -- 3.3 In-situ Interviews -- 3.4 Learning and Anxiety Measures -- 4 Results -- 4.1 Help Acceptance -- 4.2 Help Seeking -- 4.3 Learning Outcomes -- 4.4 Insights from Qualitative Interviews -- 5 Conclusions -- References -- Adoption of Artificial Intelligence in Schools: Unveiling Factors Influencing Teachers' Engagement -- 1 Introduction. 2 Context and the Adaptive Learning Platform Studied -- 3 Methodology -- 4 Results -- 4.1 Teachers' Responses to the Items -- 4.2 Predicting Teachers' Engagement with the Adaptive Learning Platform -- 5 Discussion -- 6 Conclusion -- Appendix -- References -- The Road Not Taken: Preempting Dropout in MOOCs -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Dataset -- 3.2 Modeling Student Engagement by HMM -- 3.3 Study Setup -- 4 Results -- 5 Discussion and Conclusion -- References -- Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification -- 1 Introduction -- 2 Related Work -- 2.1 Educational Dialogue Act Classification -- 2.2 Sample Informativeness -- 2.3 Statistical Active Learning -- 3 Methods -- 3.1 Dataset -- 3.2 Educational Dialogue Act Scheme and Annotation -- 3.3 Identifying Sample Informativeness via Data Maps -- 3.4 Active Learning Selection Strategies -- 3.5 Study Setup -- 4 Results -- 4.1 Estimation of Sample Informativeness -- 4.2 Efficacy of Statistical Active Learning Methods -- 5 Conclusion -- References -- Can Virtual Agents Scale Up Mentoring?: Insights from College Students' Experiences Using the CareerFair.ai Platform at an American Hispanic-Serving Institution -- 1 Introduction -- 2 CareerFair.ai Design -- 3 Research Design -- 4 Results -- 5 Discussion -- 6 Conclusions and Future Directions -- References -- Real-Time AI-Driven Assessment and Scaffolding that Improves Students' Mathematical Modeling during Science Investigations -- 1 Introduction -- 1.1 Related Work -- 2 Methods -- 2.1 Participants and Materials -- 2.2 Inq-ITS Virtual Lab Activities with Mathematical Modeling -- 2.3 Approach to Automated Assessment and Scaffolding of Science Practices -- 2.4 Measures and Analyses -- 3 Results -- 4 Discussion -- References. Improving Automated Evaluation of Student Text Responses Using GPT-3.5 for Text Data Augmentation -- 1 Introduction -- 2 Background and Research Questions -- 3 Methods -- 3.1 Data Sets -- 3.2 Augmentation Approach -- 3.3 Model Classification -- 3.4 Baseline Evaluation -- 4 Results -- 5 Discussion -- 6 Conclusion -- 7 Future Work -- References -- The Automated Model of Comprehension Version 3.0: Paying Attention to Context -- 1 Introduction -- 2 Method -- 2.1 Processing Flow -- 2.2 Features Derived from AMoC -- 2.3 Experimental Setup -- 2.4 Comparison Between AMoC Versions -- 3 Results -- 3.1 Use Case -- 3.2 Correlations to the Landscape Model -- 3.3 Diffentiating Between High-Low Cohesion Texts -- 4 Conclusions and Future Work -- References -- Analysing Verbal Communication in Embodied Team Learning Using Multimodal Data and Ordered Network Analysis -- 1 Introduction -- 2 Methods -- 3 Results -- 3.1 Primary Tasks -- 3.2 Secondary Tasks -- 4 Discussion -- References -- Improving Adaptive Learning Models Using Prosodic Speech Features -- 1 Introduction -- 2 Methods -- 2.1 Participants -- 2.2 Design and Procedure -- 2.3 Materials -- 2.4 Speech Feature Extraction -- 2.5 Data and Statistical Analyses -- 3 Results -- 3.1 The Association Between Speech Prosody and Memory Retrieval Performance -- 3.2 Improving Predictions of Future Performance Using Speech Prosody -- 4 Discussion -- References -- Neural Automated Essay Scoring Considering Logical Structure -- 1 Introduction -- 2 Conventional Neural AES Model Using BERT -- 3 Argument Mining -- 4 Proposed Method -- 4.1 DNN Model for Processing Logical Structure -- 4.2 Neural AES Model Considering Logical Structure -- 5 Experiment -- 5.1 Setup -- 5.2 Experimental Results -- 5.3 Analysis -- 6 Conclusion -- References. "Why My Essay Received a 4?": A Natural Language Processing Based Argumentative Essay Structure Analysis. |
| Record Nr. | UNINA-9910734892803321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Lo trovi qui: Univ. Federico II | ||
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Customization 4.0 : Proceedings of the 9th World Mass Customization & Personalization Conference (MCPC 2017), Aachen, Germany, November 20th-21st, 2017 / / edited by Stephan Hankammer, Kjeld Nielsen, Frank T. Piller, Günther Schuh, Ning Wang
| Customization 4.0 : Proceedings of the 9th World Mass Customization & Personalization Conference (MCPC 2017), Aachen, Germany, November 20th-21st, 2017 / / edited by Stephan Hankammer, Kjeld Nielsen, Frank T. Piller, Günther Schuh, Ning Wang |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XVIII, 702 p. 181 illus., 88 illus. in color.) |
| Disciplina | 658.514 |
| Collana | Springer Proceedings in Business and Economics |
| Soggetto topico |
Management
Industrial management Manufactures Information technology Business—Data processing Innovation/Technology Management Manufacturing, Machines, Tools, Processes IT in Business |
| ISBN | 3-319-77556-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part 1: Customization and Personalization via Smart Products and Smart Services -- Chapter 1: User-centered Service Innovation for Commercial Vehicles: Plugging in the Handyman market -- Chapter 2: Design for Mass Individualisation: Introducing Networked Innovation Approach -- Chapter 3: An Exploratory Study of User Interaction with Smart Products for Customization in the Usage Stage -- Chapter 4: Datamodels for PSS development and configuration: existing approaches and future research -- Chapter 5: Demand Engineering in Mass Customization Using a Data Driven Approach -- Chapter 6: Adapting Product-Service System methods for the digital era - requirements for Smart PSS engineering -- Part 1: Digital Manufacturing and Industrie 4.0 -- Chapter 7: A Marketplace for Smart Production Ecosystems -- Chapter 8: Exploring Barriers Towards the Development of Changeable and Reconfigurable Manufacturing Systems for Mass Customized Products: an Industrial Survey -- Chapter 9: 3D Avatar Platforms -Tomorrows Gateways for Digitized Persons into Virtual Worlds -- Chapter 10: Automated processing of planning modules in factory planning by means of constraint-solving using the example of production segmentation -- Chapter 11: A digital fabrication infrastructure enabling distributed design and production of custom furniture -- Chapter 12: Mass Customization 4.0 in AEC: Additive Manufacturing for Innovative Building Systems -- Chapter 13: Managing Customized and Profitable Product Portfolios using Advanced Analytics -- Chapter 14: Impacts of Industry 4.0 on the specific case of mass customization through modeling and simulation approach -- Part 3: Mass Customization and Sustainability -- Chapter 15: Mass Customization and Personalization: a way to improve sustainability beyond a common paradox -- Chapter 16: Mass customization and environmental sustainability: a large-scale empirical study -- Chapter 17: Opportunities and Challenges of product-service systems for sustainable mass customization - a case study on Televisions -- Chapter 18: Effects of Mass Customization on Sustainability - A Literature-based Analysis -- Chapter 19: Exploring drivers and barriers for sustainable use of resources: The case of high-tech mass customizers in the German textile industry -- Chapter 20: A preparatory approach to Environmental Assessment for sustainable mass customization -- Part 4: Choice Navigation and Customer Interactions for MCP -- Chapter 21: The Importance of Choice Navigation in Starting Configurator Projects -- Chapter 22: User Interface Trends for Mobile Optimized Product Configurators -- Chapter 23: An Evaluation Model For Web-based 3D Mass Customization Toolkit Design -- Chapter 24: Front-end/Back-end Integration in Mass Customization: Challenges and Opportunities -- Chapter 25: Design and development of the CEM-dashboard – a diagnostic tool to determine your current position and improvement directions in customer experience management -- Chapter 26: Product Configuration in the ETO and Capital Goods Industry: A Literature Review and Challenges -- Chapter 27: The Individualization of Mass Customization: Exploring the Value of Individual Thinking Style through Consumer Neuroscience -- Chapter 28: User Interface Modifications in Established Product Configurators -- Part 5: Solution Space Development and Variety Management -- Chapter 29: Data Driven Product Family Modelling with Feedback -- Chapter 30: Production Platform Development through the Four Loops of Concern -- Chapter 31: Integrate customer order decoupling point and mass customisation concepts: a literature review -- Chapter 32: Mass Customization in Food Industries: Case and Literature Study -- Chapter 33: Can the SME successfully adopt Mass Customization? -- Chapter 34: Productivity, Challenges and Applying Mass Customization in the Building and Construction Industry -- Chapter 35: Flexibility in Mass Customization of Houses -- Chapter 36: Product and service variety versus internal performance – towards new balances -- Chapter 37: Validation of Metrics for Mass Customization – a pre-study of validation methods -- Chapter 38: Teaching solution space development: Experiences from the Hanover Knowledge-Based-Design-Lab -- Part 6: Mass Customization of Textiles and Fashion Products as a Special Field of Application -- Chapter 39: Fashion & Apparel Industry 4.0 and Smart Mass Customization Approach for Clothing Product Design -- Chapter 40: Individual on-demand produced clothing - ultra fast fashion production system- -- Chapter 41: myShopNET: personalized consumer goods e-commerce platform -- Chapter 42: Mass Customization Practices of Malaysian SMEs Apparel Sector: An Exploratory Survey -- Chapter 43: Attitudes Toward Apparel Mass Customization: Canadian Consumer Segmented by LifeStyle and Demographics. |
| Record Nr. | UNINA-9910298194903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Lo trovi qui: Univ. Federico II | ||
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ECITech 2022 : The 2022 International Conference on Electrical, Control and Information Technology / / Marco Claudio Campi, Ning Wang
| ECITech 2022 : The 2022 International Conference on Electrical, Control and Information Technology / / Marco Claudio Campi, Ning Wang |
| Autore | Campi Marco Claudio |
| Pubbl/distr/stampa | Berlin : , : VDE VERLAG, , 2022 |
| Descrizione fisica | 1 online resource |
| Disciplina | 621.3 |
| Soggetto topico |
Electrical engineering
Control theory |
| ISBN | 3-8007-5917-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996575607203316 |
Campi Marco Claudio
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| Berlin : , : VDE VERLAG, , 2022 | ||
| Lo trovi qui: Univ. di Salerno | ||
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Hybrid and Fully Thermoelectric Solar Harvesting / / by Dario Narducci, Peter Bermel, Bruno Lorenzi, Ning Wang, Kazuaki Yazawa
| Hybrid and Fully Thermoelectric Solar Harvesting / / by Dario Narducci, Peter Bermel, Bruno Lorenzi, Ning Wang, Kazuaki Yazawa |
| Autore | Narducci Dario |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (165 pages) |
| Disciplina | 621.31243 |
| Collana | Springer Series in Materials Science |
| Soggetto topico |
Renewable energy resources
Materials science Force and energy Energy systems Renewable and Green Energy Energy Materials Energy Systems |
| ISBN | 3-319-76427-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- A primer on thermoelectric generators -- Solar thermoelectric generators -- A Primer on Photovoltaic Generators -- Hybrid photovoltaic–thermoelectric generators: Theory of Operation -- Hybrid photovoltaic–thermoelectric generators: Materials Issues -- Photovoltaic-thermoelectric-thermodynamic co-generation -- Technological Challenges, Economic Issues, and Perspectives -- Index. |
| Record Nr. | UNINA-9910299596503321 |
Narducci Dario
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Lo trovi qui: Univ. Federico II | ||
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Immunization : Vaccine Adjuvant Delivery System and Strategies / / edited by Ning Wang, Ting Wang
| Immunization : Vaccine Adjuvant Delivery System and Strategies / / edited by Ning Wang, Ting Wang |
| Pubbl/distr/stampa | London : , : IntechOpen, , 2018 |
| Descrizione fisica | 1 online resource (122 pages) : illustrations |
| Disciplina | 615.3 |
| Soggetto topico |
Immunological adjuvants
Immunization Drug delivery systems |
| ISBN |
1-83881-783-2
1-78984-539-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910317776003321 |
| London : , : IntechOpen, , 2018 | ||
| Lo trovi qui: Univ. Federico II | ||
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Multidisciplinary Design Optimization of Flight Vehicles : Theory and Applications
| Multidisciplinary Design Optimization of Flight Vehicles : Theory and Applications |
| Autore | Yao Wen |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2025 |
| Descrizione fisica | 1 online resource (672 pages) |
| Disciplina | 629.13334 |
| Altri autori (Persone) |
ZhaoYong
ZhengXiaohu WangNing |
| Collana | Mechanical Engineering (R0) Series |
| ISBN | 981-9614-33-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911028646803321 |
Yao Wen
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| Singapore : , : Springer, , 2025 | ||
| Lo trovi qui: Univ. Federico II | ||
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Offshore Robotics : Volume I Issue 1, 2021
| Offshore Robotics : Volume I Issue 1, 2021 |
| Autore | Su Shun-Feng |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2021 |
| Descrizione fisica | 1 online resource (113 pages) |
| Altri autori (Persone) | WangNing |
| Collana | Offshore Robotics Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN | 981-16-2078-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- Survey on Collision-Avoidance Navigation of Maritime Autonomous Surface Ships -- 1 Introduction -- 2 State-of-the-Art Autonomous Vessel and Collision Avoidance Technology -- 2.1 Advances in the MASS -- 2.2 Advances in Collision Avoidance and Action Planning Technology -- 3 Maritime Autonomous Navigation Systems -- 3.1 Challenges in Autonomous Navigation Systems in Uncertain Environment -- 3.2 Design of Maritime Autonomous Navigation Systems -- 4 Trade-off Between Autonomy and Navigation Action -- 5 Trends in Maritime Autonomous Navigation Systems -- 6 Conclusion -- References -- Ocean Explorations Using Autonomy: Technologies, Strategies and Applications -- 1 Introduction -- 2 Autonomous Surface Vehicles (ASVs) and the Deployment Strategies -- 2.1 Tasks Management in ASVs -- 2.2 Machine Learning Used in ASVs -- 2.3 Multi-ASV Systems and Control Architectures -- 3 Unmanned Underwater Vehicles -- 3.1 Unmanned Underwater Vehicles Technologies -- 3.2 Underwater Communication Technologies -- 3.3 Control Solutions for AUVs -- 4 Applications of Multiple Autonomous Marine Vehicles -- 4.1 Cooperation of Multiple AUVs -- 4.2 Cooperation of AUVs and ASVs -- 5 Deployment Strategies of Multiple Autonomous Marine Vehicles -- 5.1 Coverage Methods -- 5.2 Cooperative Search Methods -- 5.3 Formation Control Methods -- 5.4 Cooperative Navigation Methods -- 5.5 Rendezvous Planning Methods -- 6 Conclusions -- References -- Single-Beacon Based Underwater Robot Navigation -- 1 Introduction -- 2 Single-Beacon Navigation: Basic Method -- 2.1 Kinematic Model -- 2.2 Measurement Model -- 2.3 Estimation Solution -- 3 Dealing with Unknown ESV -- 3.1 Modified Measurement Model -- 3.2 State-Augmented Method -- 3.3 Expectation-Maximization Method -- 3.4 Variational Bayesian Approximation Method -- 4 Numerical Studies -- 4.1 Case 1 -- 4.2 Case 2.
5 Conclusions and Future Directions -- References -- Review on the Research of Ship Automatic Berthing Control -- 1 Introduction -- 2 Automatic Berthing Types -- 2.1 Stabilization Control Outside the Berth -- 2.2 Direct Berthing -- 2.3 Stabilization Control Outside the Berth and then Parallel Berthing -- 3 Difficulties of Research -- 4 Current Research -- 4.1 Uncertainties of Models -- 4.2 Uncertainties of Disturbances -- 4.3 Stabilization Problems of Underactuated Ship -- 4.4 Path Planning -- 4.5 Control Device Accuracy -- 5 Engineering Practice -- 6 Prospect -- 7 Conclusion -- References. |
| Altri titoli varianti | Offshore Robotics |
| Record Nr. | UNINA-9910506396203321 |
Su Shun-Feng
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| Singapore : , : Springer Singapore Pte. Limited, , 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
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Offshore robotics . Volume I, Issue 1, 2021. / / Shun-Feng Su, Ning Wang, editors
| Offshore robotics . Volume I, Issue 1, 2021. / / Shun-Feng Su, Ning Wang, editors |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer-Verlag, , [2022] |
| Descrizione fisica | 1 online resource (113 pages) |
| Disciplina | 623.8205 |
| Collana | Offshore Robotics |
| Soggetto topico | Autonomous underwater vehicles |
| ISBN |
981-16-2077-6
981-16-2078-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- Survey on Collision-Avoidance Navigation of Maritime Autonomous Surface Ships -- 1 Introduction -- 2 State-of-the-Art Autonomous Vessel and Collision Avoidance Technology -- 2.1 Advances in the MASS -- 2.2 Advances in Collision Avoidance and Action Planning Technology -- 3 Maritime Autonomous Navigation Systems -- 3.1 Challenges in Autonomous Navigation Systems in Uncertain Environment -- 3.2 Design of Maritime Autonomous Navigation Systems -- 4 Trade-off Between Autonomy and Navigation Action -- 5 Trends in Maritime Autonomous Navigation Systems -- 6 Conclusion -- References -- Ocean Explorations Using Autonomy: Technologies, Strategies and Applications -- 1 Introduction -- 2 Autonomous Surface Vehicles (ASVs) and the Deployment Strategies -- 2.1 Tasks Management in ASVs -- 2.2 Machine Learning Used in ASVs -- 2.3 Multi-ASV Systems and Control Architectures -- 3 Unmanned Underwater Vehicles -- 3.1 Unmanned Underwater Vehicles Technologies -- 3.2 Underwater Communication Technologies -- 3.3 Control Solutions for AUVs -- 4 Applications of Multiple Autonomous Marine Vehicles -- 4.1 Cooperation of Multiple AUVs -- 4.2 Cooperation of AUVs and ASVs -- 5 Deployment Strategies of Multiple Autonomous Marine Vehicles -- 5.1 Coverage Methods -- 5.2 Cooperative Search Methods -- 5.3 Formation Control Methods -- 5.4 Cooperative Navigation Methods -- 5.5 Rendezvous Planning Methods -- 6 Conclusions -- References -- Single-Beacon Based Underwater Robot Navigation -- 1 Introduction -- 2 Single-Beacon Navigation: Basic Method -- 2.1 Kinematic Model -- 2.2 Measurement Model -- 2.3 Estimation Solution -- 3 Dealing with Unknown ESV -- 3.1 Modified Measurement Model -- 3.2 State-Augmented Method -- 3.3 Expectation-Maximization Method -- 3.4 Variational Bayesian Approximation Method -- 4 Numerical Studies -- 4.1 Case 1 -- 4.2 Case 2.
5 Conclusions and Future Directions -- References -- Review on the Research of Ship Automatic Berthing Control -- 1 Introduction -- 2 Automatic Berthing Types -- 2.1 Stabilization Control Outside the Berth -- 2.2 Direct Berthing -- 2.3 Stabilization Control Outside the Berth and then Parallel Berthing -- 3 Difficulties of Research -- 4 Current Research -- 4.1 Uncertainties of Models -- 4.2 Uncertainties of Disturbances -- 4.3 Stabilization Problems of Underactuated Ship -- 4.4 Path Planning -- 4.5 Control Device Accuracy -- 5 Engineering Practice -- 6 Prospect -- 7 Conclusion -- References. |
| Record Nr. | UNINA-9910743380703321 |
| Gateway East, Singapore : , : Springer-Verlag, , [2022] | ||
| Lo trovi qui: Univ. Federico II | ||
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Research on China’s Public Finance Construction Index System / / by Peiyong Gao, Bin Zhang, Ning Wang
| Research on China’s Public Finance Construction Index System / / by Peiyong Gao, Bin Zhang, Ning Wang |
| Autore | Gao Peiyong |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (X, 168 p. 1 illus.) |
| Disciplina | 336.51 |
| Collana | Research Series on the Chinese Dream and China’s Development Path |
| Soggetto topico |
Finance, Public
Macroeconomics Accounting Bookkeeping Public Economics Macroeconomics/Monetary Economics//Financial Economics Accounting/Auditing |
| ISBN | 981-10-5898-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Background, Subject and Orientation -- Some Basic Work -- Construction of Index System Framework -- Methodological Basis of Index System -- Selection of the Index: Basic Environment Dimension -- Selection of the Index: Institutional Framework Dimension -- Selection of the Index: Operation Performance Dimension -- Selection of the Index: Based on the Background of Economic Globalization -- Conclusion and Implication. |
| Record Nr. | UNINA-9910255052003321 |
Gao Peiyong
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| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 | ||
| Lo trovi qui: Univ. Federico II | ||
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