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Advances in Brain Inspired Cognitive Systems [[electronic resource] ] : 10th International Conference, BICS 2019, Guangzhou, China, July 13–14, 2019, Proceedings / / edited by Jinchang Ren, Amir Hussain, Huimin Zhao, Kaizhu Huang, Jiangbin Zheng, Jun Cai, Rongjun Chen, Yinyin Xiao
| Advances in Brain Inspired Cognitive Systems [[electronic resource] ] : 10th International Conference, BICS 2019, Guangzhou, China, July 13–14, 2019, Proceedings / / edited by Jinchang Ren, Amir Hussain, Huimin Zhao, Kaizhu Huang, Jiangbin Zheng, Jun Cai, Rongjun Chen, Yinyin Xiao |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XVI, 595 p. 340 illus., 176 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Optical data processing Computers Pattern recognition Application software Artificial Intelligence Image Processing and Computer Vision Information Systems and Communication Service Pattern Recognition Computer Applications |
| ISBN | 3-030-39431-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Neural Computation -- Biologically Inspired Systems -- Image Recognition: Detection, Tracking and Classification -- Data Analysis and Natural Language Processing. |
| Record Nr. | UNISA-996418221403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Advances in Brain Inspired Cognitive Systems : 10th International Conference, BICS 2019, Guangzhou, China, July 13–14, 2019, Proceedings / / edited by Jinchang Ren, Amir Hussain, Huimin Zhao, Kaizhu Huang, Jiangbin Zheng, Jun Cai, Rongjun Chen, Yinyin Xiao
| Advances in Brain Inspired Cognitive Systems : 10th International Conference, BICS 2019, Guangzhou, China, July 13–14, 2019, Proceedings / / edited by Jinchang Ren, Amir Hussain, Huimin Zhao, Kaizhu Huang, Jiangbin Zheng, Jun Cai, Rongjun Chen, Yinyin Xiao |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XVI, 595 p. 340 illus., 176 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Optical data processing Computers Pattern recognition Application software Artificial Intelligence Image Processing and Computer Vision Information Systems and Communication Service Pattern Recognition Computer Applications |
| ISBN | 3-030-39431-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Neural Computation -- Biologically Inspired Systems -- Image Recognition: Detection, Tracking and Classification -- Data Analysis and Natural Language Processing. |
| Record Nr. | UNINA-9910373928103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Human Digital Twin : Exploring Connectivity and Security Issues
| Human Digital Twin : Exploring Connectivity and Security Issues |
| Autore | Okegbile Samuel D |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (133 pages) |
| Altri autori (Persone) |
CaiJun
YiChangyan |
| Collana | SpringerBriefs in Computer Science Series |
| ISBN | 3-031-57534-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgments -- Contents -- Acronyms -- Part I Fundamentals of Human Digital Twin -- 1 Concept of Human Digital Twin: An Introduction -- 1.1 Overview of HDT -- 1.2 Digital Twin and HDT -- 1.3 Application Scenarios and Potential Solutions -- 1.3.1 Personalized Healthcare Services -- 1.3.2 Personalized Learning and Training -- 1.3.3 Environmental Sustainability and Crisis Management -- 1.4 Architectural Framework of HDT -- 1.4.1 Communication and Computation -- 1.4.2 Digital Modelling and Virtualization -- 1.4.3 HDT Migration and PT Mobility -- 1.4.4 Multi-Layer ML Algorithms -- 1.4.5 Data Acquisition and Storage Format -- 1.4.6 Security and Privacy -- 1.4.7 Data Management and Analysis -- 1.5 Summary of the Chapter -- References -- 2 Design Requirements and Key Technologies for HDT -- 2.1 Design Requirements and Challenges -- 2.1.1 Sophisticated and High-Quality Data -- 2.1.2 Extreme Ultra-Reliable and Low-LatencyCommunication -- 2.1.3 Ultra-Low Round-Trip Time -- 2.1.4 Data Privacy, Security and Integrity -- 2.1.5 Data Storage and Advanced Computing Power -- 2.1.6 Scalable AI-Driven Analytics -- 2.2 Key Networking Technologies -- 2.2.1 Key Technologies for Communications -- 2.2.2 Key Technologies for Data Acquisition -- 2.2.3 Key Technologies for Data Management -- 2.2.4 Key Technologies for Data Analysis andDecision Making -- 2.2.5 Key Technologies for Computation -- 2.3 Summary of the Chapter -- References -- Part II Secure Connectivity Solutions in HDT -- 3 Edge-Assisted Connectivity Framework for HDT -- 3.1 The Need for Edge Computing in HDT -- 3.2 Framework for Edge-Assisted PT-VT Connectivity Scheme -- 3.2.1 FL Model -- 3.2.2 Validation Model -- 3.2.3 Offloading Model -- 3.3 PT-VT Connectivity Modelling Analysis and ProblemFormulation -- 3.4 Simulations and Discussions -- 3.5 Summary of the Chapter -- References.
4 Blockchain-Enabled Data Sharing Solution for HDT -- 4.1 Blockchain Technology as a Tool in HDT -- 4.1.1 Advantages of Byzantine Fault ToleranceConsensus Scheme -- 4.1.2 Description of Latency and Data Age -- 4.2 A General PBFT Framework for HDT -- 4.2.1 Spatial and Temporal Model -- 4.2.2 Validation Model for BeDS Framework -- 4.2.2.1 PBFT-Based Consensus Protocol -- 4.2.2.2 Service Model -- 4.2.2.3 Blockchain-Appending Method -- 4.3 Analysis of Communication Process in BeDS -- 4.3.1 Offloading Success Probability -- 4.3.2 Average Achievable Rate -- 4.3.3 PBFT Message Delivery Success Probability -- 4.3.4 Number of Reachable Receiving Validators -- 4.3.5 Offloading and Message Exchange Latency -- 4.4 Analysis of Validation Process in BeDS -- 4.4.1 Package-Centric Erlang Distribution Modelling -- 4.4.2 Stage-Centric Erlang Distribution Modelling -- 4.4.3 Blockchain-Building Process -- 4.5 Analysis of AoDP in BeDS -- 4.6 Simulations for Latency and AoDP in BeDS Framework -- 4.7 A Shard-Based Blockchain Solution for HDT -- 4.8 Summary of the Chapter -- Appendix 1 -- Appendix 2 -- Appendix 3 -- References -- 5 Differentially Private Federated Multi-Task Learning Solution for HDT -- 5.1 Background -- 5.1.1 FL in DT-Related Applications -- 5.1.2 DP Solutions for FL -- 5.2 Framework for DPFML-Assisted Human-to-Virtual Twin Connectivity Scheme -- 5.2.1 Federated Multi-Task Learning Model -- 5.2.2 Blockchain-Enabled Validation Model for DPFML -- 5.3 Connectivity Cost Modelling Based on Proof of Model Quality -- 5.3.1 Analysis of DPFML Model -- 5.3.2 Analysis of Communication and Validation Model Under DPFML Scheme -- 5.3.3 Analysis of the Connectivity Cost -- 5.3.4 Synchronization Accuracy -- 5.4 Problem Formulation and Optimization of DPFML Scheme -- 5.4.1 Problem Formulation -- 5.4.2 MDP Problem and Solution -- 5.4.3 DRL Solution Using DDPG. 5.5 Numerical Simulations and Discussions -- 5.6 Summary of the Chapter -- References -- 6 Conclusions and Future Research Directions -- 6.1 HDT is the Future -- 6.2 Networking Perspective -- 6.2.1 Mobility in HDT -- 6.2.2 FL Solutions for HDT -- 6.2.3 Green HDT -- 6.3 Data Management Perspective -- 6.3.1 Data Scarcity -- 6.3.2 Interoperability Management -- 6.3.3 Interface Design -- 6.4 Security and Privacy Perspective -- 6.4.1 Intelligent Blockchain -- 6.4.2 Secure AI -- 6.5 AI and Machine Learning Perspective -- 6.5.1 Full-Fledged Explainable AI for HDT -- 6.5.2 Generalized AI and Metaverse for HDT -- 6.6 Concluding Remarks -- References -- Glossary. |
| Record Nr. | UNINA-9910864201103321 |
Okegbile Samuel D
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| Cham : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Market-Driven Spectrum Sharing in Cognitive Radio / / by Changyan Yi, Jun Cai
| Market-Driven Spectrum Sharing in Cognitive Radio / / by Changyan Yi, Jun Cai |
| Autore | Yi Changyan |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (111 p.) |
| Disciplina | 620 |
| Collana | SpringerBriefs in Electrical and Computer Engineering |
| Soggetto topico |
Electrical engineering
Computer communication systems Computers Communications Engineering, Networks Computer Communication Networks Information Systems and Communication Service |
| ISBN | 3-319-29691-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Fundamentals of Mechanism Design -- Recall-Based Spectrum Auction Mechanism -- Two-Stage Spectrum Sharing Mechanism -- Online Spectrum Allocation Mechanism -- Conclusion and Future Research Directions. |
| Record Nr. | UNINA-9910253968403321 |
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Yi Changyan
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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