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Robust Filtering and Fault Detection of Switched Delay Systems / / by Dong Wang, Peng Shi, Wei Wang
| Robust Filtering and Fault Detection of Switched Delay Systems / / by Dong Wang, Peng Shi, Wei Wang |
| Autore | Wang Dong |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XIV, 148 p. 31 illus.) |
| Disciplina | 629.8312 |
| Collana | Lecture Notes in Control and Information Sciences |
| Soggetto topico |
Automatic control
System theory Control and Systems Theory Systems Theory, Control |
| ISBN |
9783642376856
3642376851 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I Filter Design -- Part II Fault Detection -- Filter Design -- Part II Fault Detection. |
| Record Nr. | UNINA-9910437890703321 |
Wang Dong
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| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Social Edge Computing [[electronic resource] ] : Empowering Human-Centric Edge Computing, Learning and Intelligence / / by Dong Wang, Daniel 'Yue' Zhang
| Social Edge Computing [[electronic resource] ] : Empowering Human-Centric Edge Computing, Learning and Intelligence / / by Dong Wang, Daniel 'Yue' Zhang |
| Autore | Wang Dong |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (184 pages) |
| Disciplina | 005.758 |
| Altri autori (Persone) | ZhangDaniel 'Yue' |
| Soggetto topico |
Cloud Computing
Artificial intelligence Internet of things Artificial Intelligence Internet of Things |
| ISBN | 3-031-26936-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A New Human-centric Computing Age at Edge -- Social Edge Trends and Applications -- Rational Social Edge Computing -- Taming Heterogeneity in Social Edge Computing -- Real-time AI in Social Edge -- Human-AI Interaction -- Privacy in Social Edge -- Further Readings -- Conclusion and Remaining Challenges. |
| Record Nr. | UNISA-996546840603316 |
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Wang Dong
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Social Edge Computing : Empowering Human-Centric Edge Computing, Learning and Intelligence / / by Dong Wang, Daniel 'Yue' Zhang
| Social Edge Computing : Empowering Human-Centric Edge Computing, Learning and Intelligence / / by Dong Wang, Daniel 'Yue' Zhang |
| Autore | Wang Dong |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (184 pages) |
| Disciplina | 005.758 |
| Altri autori (Persone) | ZhangDaniel 'Yue' |
| Soggetto topico |
Cloud computing
Artificial intelligence Internet of things Cloud Computing Artificial Intelligence Internet of Things |
| ISBN |
9783031269363
3031269365 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A New Human-centric Computing Age at Edge -- Social Edge Trends and Applications -- Rational Social Edge Computing -- Taming Heterogeneity in Social Edge Computing -- Real-time AI in Social Edge -- Human-AI Interaction -- Privacy in Social Edge -- Further Readings -- Conclusion and Remaining Challenges. |
| Record Nr. | UNINA-9910734878303321 |
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Wang Dong
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Social Intelligence : The New Frontier of Integrating Human Intelligence and Artificial Intelligence in Social Space / / by Dong Wang, Lanyu Shang, Yang Zhang
| Social Intelligence : The New Frontier of Integrating Human Intelligence and Artificial Intelligence in Social Space / / by Dong Wang, Lanyu Shang, Yang Zhang |
| Autore | Wang Dong |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (430 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
ShangLanyu
ZhangYang |
| Soggetto topico |
Artificial intelligence
User interfaces (Computer systems) Human-computer interaction Technology - Moral and ethical aspects Artificial Intelligence User Interfaces and Human Computer Interaction Ethics of Technology |
| ISBN | 3-031-90080-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Introduction -- 1.1 Overview -- 1.2 Motivation and Challenges -- 1.3 Contributions -- Chapter 2: Social Intelligence Applications and Backgrounds -- 2.1 Social Intelligence: the emergence of human intelligence and AI -- 2.2 Enabling Technologies for Social Intelligence -- 2.3 Interdisciplinary Nature of Social Intelligence -- 2.4 Emerging Social Intelligence Applications -- Chapter 3: Data Heterogeneity -- 3.1 The Data Heterogeneity Problem in Social Intelligence -- 3.2 A Multimodal Approach: DuoGen and ContrastFaux -- 3.4 Real-world Case Studies -- 3.5 Discussion -- Chapter 4: Data Sparsity and Model Generality -- 4.1 The Data Sparsity and Model Generality Problem in Social Intelligence -- 4.2 Robust and General Social Intelligence: CrowdAdapt and CollabGeneral -- 4.3 Real-world Case Studies -- 4.4 Discussion -- Chapter 5: Explainable AI (XAI) in Social Intelligence -- 4.1 A Collaborative Explanation for AI -- 4.2 Social XAI: CrowdGraph and CEA-COVID -- 4.3 Real-world Case Studies -- 4.4 Discussion -- Chapter 6: Fusing Crowd Wisdom and AI -- 6.1 Integrating Crowd-based Human Intelligence and AI -- 6.2 A Crowd-AI Co-Design: CrowdNAS and CrowdHPO -- 6.4 Real-world Case Studies -- 6.5 Discussion -- Chapter 7: Fairness and Bias Issue -- 7.1 The Fairness and Bias Issue in Social Intelligence -- 7.2 Fair Social AI Solution: FairCrowd and DebiasEdu -- 7.3 Real-world Case Studies -- 7.4 Discussion -- Chapter 8: Privacy Issue -- 8.1 Understanding Privacy in Social Intelligence -- 8.2 Privacy-aware Crowd-AI Approach: CoviDKG and FaceCrowd -- 8.3 Real-world Case Studies -- 8.4 Discussion -- Chapter 9: Further Readings -- 9.1 Human-centered AI -- 9.2 AI for Social Good -- 9.3 Fairness and Privacy in Social Intelligence -- 9.4 Ethics and Policies in Social Intelligence -- Chapter 10: Conclusions and Remaining Challenges. |
| Record Nr. | UNINA-9911015637003321 |
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Wang Dong
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Social sensing : building reliable systems on unreliable data / / Dong Wang, Tarek Abdelzaher, Lance Kaplan
| Social sensing : building reliable systems on unreliable data / / Dong Wang, Tarek Abdelzaher, Lance Kaplan |
| Autore | Wang Dong |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Amsterdam : , : Elsevier, , [2015] |
| Descrizione fisica | 1 online resource (232 p.) |
| Disciplina | 302.30285 |
| Soggetto topico |
Social media - Data processing
Information technology |
| Soggetto genere / forma | Electronic books. |
| ISBN | 0-12-800867-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""Front Cover""; ""Social Sensing: Building Reliable Systems on Unreliable Data""; ""Copyright""; ""Dedication""; ""Contents""; ""Acknowledgments""; ""Authors""; ""Dong Wang""; ""Tarek Abdelzaher""; ""Lance M. Kaplan""; ""Foreword""; ""Preface""; ""Chapter 1: A new information age""; ""1.1 Overview""; ""1.2 Challenges""; ""1.3 State of the Art""; ""1.3.1 Efforts on Discount Fusion""; ""1.3.2 Efforts on Trust and Reputation Systems""; ""1.3.3 Efforts on Fact-Finding""; ""1.4 Organization""; ""Chapter 2: Social Sensing Trends and Applications""; ""2.1 Information Sharing: The Paradigm Shift""
""2.2 An Application Taxonomy""""2.3 Early Research""; ""2.4 The Present Time""; ""2.5 ANote on Privacy""; ""Chapter 3: Mathematical foundations of social sensing: An introductory tutorial""; ""3.1 AMultidisciplinary Background""; ""3.2 Basics of Generic Networks""; ""3.3 Basics of Bayesian Analysis""; ""3.4 Basics of Maximum Likelihood Estimation""; ""3.5 Basics of Expectation Maximization""; ""3.6 Basics of Confidence Intervals""; ""3.7 Putting It All Together""; ""Chapter 4: Fact-finding in information networks""; ""4.1 Facts, Fact-Finders, and the Existence of Ground Truth"" ""4.2 Overview of Fact-Finders in Information Networks""""4.3 A Bayesian Interpretation of Basic Fact-Finding""; ""4.3.1 Claim Credibility""; ""4.3.2 Source Credibility""; ""4.4 The Iterative Algorithm""; ""4.5 Examples and Results""; ""4.6 Discussion""; ""Appendix""; ""Chapter 5: Social Sensing: A maximum likelihood estimation approach""; ""5.1 The Social Sensing Problem""; ""5.2 Expectation Maximization""; ""5.2.1 Background""; ""5.2.2 Mathematical Formulation""; ""5.2.3 Deriving the E-Step and M-Step""; ""5.3 The EM Fact-Finding Algorithm""; ""5.4 Examples and Results"" ""5.4.1 A Simulation Study""""5.4.2 A Geotagging Case Study""; ""5.4.3 A Real World Application""; ""5.5 Discussion""; ""Chapter 6: Confidence bounds in social sensing""; ""6.1 The Reliability Assurance Problem""; ""6.2 Actual Cramer-Rao Lower Bound""; ""6.3 Asymptotic Cramer-Rao Lower Bound""; ""6.4 Confidence Interval Derivation""; ""6.5 Examples and Results""; ""6.5.1 Evaluation of Confidence Interval""; ""6.5.2 Evaluation of CRLB""; ""Scalability study""; ""Trustworthiness and assertiveness study""; ""Robustness study"" ""6.5.3 Evaluation of Estimated False Positives/Negatives on Claim Classification""""Scalability study""; ""Trustworthiness and assertiveness study""; ""Robustness study""; ""6.5.4 AReal World Case Study""; ""6.6 Discussion""; ""Appendix""; ""Chapter 7: Resolving conflicting observations and non-binary claims""; ""7.1 Handling Conflicting Binary Observations""; ""7.1.1 Extended Model""; ""7.1.2 Re-Derive the E-Step and M-Step""; ""7.1.3 The Binary Conflict EM Algorithm""; ""7.2 Handling Non-Binary Claims""; ""7.2.1 Generalized E and M Steps for Non-Binary Measured Variables"" ""7.2.2 The Generalized EM Algorithm for Non-Binary Measured Variables"" |
| Record Nr. | UNISA-996426329703316 |
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Wang Dong
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| Amsterdam : , : Elsevier, , [2015] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Social sensing : building reliable systems on unreliable data / / Dong Wang, Tarek Abdelzaher, Lance Kaplan
| Social sensing : building reliable systems on unreliable data / / Dong Wang, Tarek Abdelzaher, Lance Kaplan |
| Autore | Wang Dong |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Amsterdam : , : Elsevier, , [2015] |
| Descrizione fisica | 1 online resource (232 p.) |
| Disciplina | 302.30285 |
| Soggetto topico |
Social media - Data processing
Information technology |
| ISBN | 0-12-800867-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""Front Cover""; ""Social Sensing: Building Reliable Systems on Unreliable Data""; ""Copyright""; ""Dedication""; ""Contents""; ""Acknowledgments""; ""Authors""; ""Dong Wang""; ""Tarek Abdelzaher""; ""Lance M. Kaplan""; ""Foreword""; ""Preface""; ""Chapter 1: A new information age""; ""1.1 Overview""; ""1.2 Challenges""; ""1.3 State of the Art""; ""1.3.1 Efforts on Discount Fusion""; ""1.3.2 Efforts on Trust and Reputation Systems""; ""1.3.3 Efforts on Fact-Finding""; ""1.4 Organization""; ""Chapter 2: Social Sensing Trends and Applications""; ""2.1 Information Sharing: The Paradigm Shift""
""2.2 An Application Taxonomy""""2.3 Early Research""; ""2.4 The Present Time""; ""2.5 ANote on Privacy""; ""Chapter 3: Mathematical foundations of social sensing: An introductory tutorial""; ""3.1 AMultidisciplinary Background""; ""3.2 Basics of Generic Networks""; ""3.3 Basics of Bayesian Analysis""; ""3.4 Basics of Maximum Likelihood Estimation""; ""3.5 Basics of Expectation Maximization""; ""3.6 Basics of Confidence Intervals""; ""3.7 Putting It All Together""; ""Chapter 4: Fact-finding in information networks""; ""4.1 Facts, Fact-Finders, and the Existence of Ground Truth"" ""4.2 Overview of Fact-Finders in Information Networks""""4.3 A Bayesian Interpretation of Basic Fact-Finding""; ""4.3.1 Claim Credibility""; ""4.3.2 Source Credibility""; ""4.4 The Iterative Algorithm""; ""4.5 Examples and Results""; ""4.6 Discussion""; ""Appendix""; ""Chapter 5: Social Sensing: A maximum likelihood estimation approach""; ""5.1 The Social Sensing Problem""; ""5.2 Expectation Maximization""; ""5.2.1 Background""; ""5.2.2 Mathematical Formulation""; ""5.2.3 Deriving the E-Step and M-Step""; ""5.3 The EM Fact-Finding Algorithm""; ""5.4 Examples and Results"" ""5.4.1 A Simulation Study""""5.4.2 A Geotagging Case Study""; ""5.4.3 A Real World Application""; ""5.5 Discussion""; ""Chapter 6: Confidence bounds in social sensing""; ""6.1 The Reliability Assurance Problem""; ""6.2 Actual Cramer-Rao Lower Bound""; ""6.3 Asymptotic Cramer-Rao Lower Bound""; ""6.4 Confidence Interval Derivation""; ""6.5 Examples and Results""; ""6.5.1 Evaluation of Confidence Interval""; ""6.5.2 Evaluation of CRLB""; ""Scalability study""; ""Trustworthiness and assertiveness study""; ""Robustness study"" ""6.5.3 Evaluation of Estimated False Positives/Negatives on Claim Classification""""Scalability study""; ""Trustworthiness and assertiveness study""; ""Robustness study""; ""6.5.4 AReal World Case Study""; ""6.6 Discussion""; ""Appendix""; ""Chapter 7: Resolving conflicting observations and non-binary claims""; ""7.1 Handling Conflicting Binary Observations""; ""7.1.1 Extended Model""; ""7.1.2 Re-Derive the E-Step and M-Step""; ""7.1.3 The Binary Conflict EM Algorithm""; ""7.2 Handling Non-Binary Claims""; ""7.2.1 Generalized E and M Steps for Non-Binary Measured Variables"" ""7.2.2 The Generalized EM Algorithm for Non-Binary Measured Variables"" |
| Record Nr. | UNINA-9910797002403321 |
|
Wang Dong
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| Amsterdam : , : Elsevier, , [2015] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Social sensing : building reliable systems on unreliable data / / Dong Wang, Tarek Abdelzaher, Lance Kaplan
| Social sensing : building reliable systems on unreliable data / / Dong Wang, Tarek Abdelzaher, Lance Kaplan |
| Autore | Wang Dong |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Amsterdam : , : Elsevier, , [2015] |
| Descrizione fisica | 1 online resource (232 p.) |
| Disciplina | 302.30285 |
| Soggetto topico |
Social media - Data processing
Information technology |
| ISBN | 0-12-800867-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""Front Cover""; ""Social Sensing: Building Reliable Systems on Unreliable Data""; ""Copyright""; ""Dedication""; ""Contents""; ""Acknowledgments""; ""Authors""; ""Dong Wang""; ""Tarek Abdelzaher""; ""Lance M. Kaplan""; ""Foreword""; ""Preface""; ""Chapter 1: A new information age""; ""1.1 Overview""; ""1.2 Challenges""; ""1.3 State of the Art""; ""1.3.1 Efforts on Discount Fusion""; ""1.3.2 Efforts on Trust and Reputation Systems""; ""1.3.3 Efforts on Fact-Finding""; ""1.4 Organization""; ""Chapter 2: Social Sensing Trends and Applications""; ""2.1 Information Sharing: The Paradigm Shift""
""2.2 An Application Taxonomy""""2.3 Early Research""; ""2.4 The Present Time""; ""2.5 ANote on Privacy""; ""Chapter 3: Mathematical foundations of social sensing: An introductory tutorial""; ""3.1 AMultidisciplinary Background""; ""3.2 Basics of Generic Networks""; ""3.3 Basics of Bayesian Analysis""; ""3.4 Basics of Maximum Likelihood Estimation""; ""3.5 Basics of Expectation Maximization""; ""3.6 Basics of Confidence Intervals""; ""3.7 Putting It All Together""; ""Chapter 4: Fact-finding in information networks""; ""4.1 Facts, Fact-Finders, and the Existence of Ground Truth"" ""4.2 Overview of Fact-Finders in Information Networks""""4.3 A Bayesian Interpretation of Basic Fact-Finding""; ""4.3.1 Claim Credibility""; ""4.3.2 Source Credibility""; ""4.4 The Iterative Algorithm""; ""4.5 Examples and Results""; ""4.6 Discussion""; ""Appendix""; ""Chapter 5: Social Sensing: A maximum likelihood estimation approach""; ""5.1 The Social Sensing Problem""; ""5.2 Expectation Maximization""; ""5.2.1 Background""; ""5.2.2 Mathematical Formulation""; ""5.2.3 Deriving the E-Step and M-Step""; ""5.3 The EM Fact-Finding Algorithm""; ""5.4 Examples and Results"" ""5.4.1 A Simulation Study""""5.4.2 A Geotagging Case Study""; ""5.4.3 A Real World Application""; ""5.5 Discussion""; ""Chapter 6: Confidence bounds in social sensing""; ""6.1 The Reliability Assurance Problem""; ""6.2 Actual Cramer-Rao Lower Bound""; ""6.3 Asymptotic Cramer-Rao Lower Bound""; ""6.4 Confidence Interval Derivation""; ""6.5 Examples and Results""; ""6.5.1 Evaluation of Confidence Interval""; ""6.5.2 Evaluation of CRLB""; ""Scalability study""; ""Trustworthiness and assertiveness study""; ""Robustness study"" ""6.5.3 Evaluation of Estimated False Positives/Negatives on Claim Classification""""Scalability study""; ""Trustworthiness and assertiveness study""; ""Robustness study""; ""6.5.4 AReal World Case Study""; ""6.6 Discussion""; ""Appendix""; ""Chapter 7: Resolving conflicting observations and non-binary claims""; ""7.1 Handling Conflicting Binary Observations""; ""7.1.1 Extended Model""; ""7.1.2 Re-Derive the E-Step and M-Step""; ""7.1.3 The Binary Conflict EM Algorithm""; ""7.2 Handling Non-Binary Claims""; ""7.2.1 Generalized E and M Steps for Non-Binary Measured Variables"" ""7.2.2 The Generalized EM Algorithm for Non-Binary Measured Variables"" |
| Record Nr. | UNINA-9910810570403321 |
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Wang Dong
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| Amsterdam : , : Elsevier, , [2015] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Structural Prognostics and Health Management in Power & Energy Systems
| Structural Prognostics and Health Management in Power & Energy Systems |
| Autore | Wang Dong |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (218 p.) |
| Soggetto topico | Philosophy |
| Soggetto non controllato |
analysis mode decomposition
analysis-empirical mode decomposition data-driven deep learning DNN dynamic analysis dynamic analysis of the structure dynamic fuzzy reliability analysis empirical mode decomposition extremum surface response method fault detection full-scale static test fuzzy safety criterion health monitoring lateral-river vibration life cycle cost lithium-ion battery low frequency tail fluctuation machine learning mode mixing multioperation condition NAR neural network neural networks non-probabilistic reliability index offshore structures offshore wind turbines oil and gas platforms operational modal analysis optimized deep belief networks probabilistic analyses of stochastic processes and frequency prognostic and Health Management prognostics regeneration phenomenon reliability remaining useful life renewable energy residual useful life retrofitting activities rotation of hydraulic generator sensitivity analysis sifting stop criterion similarity-based approach stochastic subspace identification strain prediction structural health monitoring supervisory control and data acquisition system supporting vector machine (SVM) techno-economic assessments turbine blisk underground powerhouse vertical axis wind turbine vibration test vibration transmission mechanism wave-structure interaction (WSI) wavelet decomposition weighted regression wind and wave analysis wind turbine blade wind turbines |
| ISBN | 3-03921-767-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910372782603321 |
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Wang Dong
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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