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Adversative and concessive conjunctions in EFL writing : corpus-based description and rhetorical structure analysis / / Yan Zhang
Adversative and concessive conjunctions in EFL writing : corpus-based description and rhetorical structure analysis / / Yan Zhang
Autore Zhang Yan
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Singapore : , : Springer, , [2021]
Descrizione fisica 1 online resource (XVI, 234 p. 42 illus., 18 illus. in color.)
Disciplina 410
Soggetto topico Linguistics
Comparative linguistics
Language and languages - Study and teaching
ISBN 981-15-7837-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Complexity of adversative and concessive conjunctions -- 2 A combined method of corpus-based and text-based analysis of adversative and concessive conjunctions -- 3 Adversative and concessive conjunctions: Comparing frequency distribution across two corpora -- 4 Analyzing structural conjunction but by investigating its co-occurrence patterns -- 5 Analyzing cohesive conjunction however by investigating its syntactic positions and agnation structures -- 6 Text-based analysis of adversative and concessive conjunctions -- 7 Conclusion.
Record Nr. UNINA-9910484761303321
Zhang Yan  
Singapore : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Digital Twin : Architectures, Networks, and Applications / / by Yan Zhang
Digital Twin : Architectures, Networks, and Applications / / by Yan Zhang
Autore Zhang Yan
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (XVI, 126 p. 48 illus., 47 illus. in color.)
Disciplina 620
Collana Simula SpringerBriefs on Computing
Soggetto topico Engineering mathematics
Engineering - Data processing
Telecommunication
Wireless communication systems
Mobile communication systems
Computer networks
Artificial intelligence
Machine learning
Mathematical and Computational Engineering Applications
Communications Engineering, Networks
Wireless and Mobile Communication
Computer Communication Networks
Artificial Intelligence
Machine Learning
ISBN 3-031-51819-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Introduction -- Chapter 2: Digital Twin Models and Networks -- Chapter 3: Artificial Intelligence for Digital Twin -- Chapter 4: Edge Computing for Digital Twin -- Chapter 5: Blockchain for Digital Twin -- Chapter 6: Digital Twin for 6G Networks -- Chapter 7: Digital Twin for Aerial-Ground Networks -- Chapter 8: Digital Twin for Internet of Vehicles.
Record Nr. UNINA-9910829580503321
Zhang Yan  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Mobile Edge Computing [[electronic resource]]
Mobile Edge Computing [[electronic resource]]
Autore Zhang Yan
Pubbl/distr/stampa Cham, : Springer International Publishing AG, 2021
Descrizione fisica 1 online resource (123 p.)
Collana Simula SpringerBriefs on Computing
Soggetto topico Mobile & handheld device programming / Apps programming
WAP (wireless) technology
Electrical engineering
Computing & information technology
Soggetto non controllato Open Access
mobile edge computing
5G beyond
6G
edge caching
Internet of Things
UAV
ISBN 3-030-83944-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Acknowledgements -- Contents -- Acronyms -- 1 Introduction -- 1.1 Mobile Cloud Computing (MCC) -- 1.2 Overview of MEC -- 1.3 Book Organization -- 2 Mobile Edge Computing -- 2.1 A Hierarchical Architecture of Mobile Edge Computing (MEC) -- 2.2 Computation Model -- 2.2.1 Computation Model of Local Execution -- 2.2.2 Computation Model of Full Offloading -- 2.2.3 A Computation Model for Partial Offloading -- 2.3 Offloading Policy -- 2.3.1 Binary Offloading -- 2.3.2 Partial Offloading -- 2.4 Challenges and Future Directions -- 3 Mobile Edge Caching -- 3.1 Introduction
3.2 The Architecture of Mobile Edge Caching -- 3.3 Caching Performance Metrics -- 3.3.1 Hit Rate Ratio -- 3.3.2 Content Acquisition Latency -- 3.3.3 Quality of Experience (QoE) -- 3.3.4 Caching System Utility -- 3.4 Caching Service Design and Data Scheduling Mechanisms -- 3.4.1 Edge Caching Based on Network Infrastructure Services -- 3.4.2 Edge Caching Based on D2D Services -- 3.4.3 Hybrid Service-Enabled Edge Caching -- 3.5 Case Study: Deep Reinforcement Learning-Empowered … -- 3.5.1 System Model -- 3.5.2 Problem Formulation and a DDPG-Based Optimal Content Dispatch Scheme
3.5.3 Numerical Results -- 4 Mobile Edge Computing for Beyond 5G/6G -- 4.1 Fundamental Characteristics of 6G -- 4.2 Integrating Mobile Edge Computing (MEC) … -- 4.2.1 Use Cases of Integrating MEC into 6G -- 4.2.2 Applications of Integrating MEC into 6G -- 4.2.3 Challenges of Integrating MEC into 6G -- 4.3 Case Study: MEC-Empowered Edge Model Sharing for 6G -- 4.3.1 Sharing at the Edge: From Data to Model -- 4.3.2 Architecture of Edge Model Sharing -- 4.3.3 Processes of Edge Model Sharing -- 5 Mobile Edge Computing for the Internet of Vehicles -- 5.1 Introduction -- 5.2 Challenges in VEC
5.3 Architecture of VEC -- 5.4 Key Techniques of VEC -- 5.4.1 Task Offloading -- 5.4.2 Heterogeneous Edge Server Cooperation -- 5.4.3 AI-Empowered VEC -- 5.5 A Case Study -- 5.5.1 Predictive Task Offloading for Fast-Moving Vehicles -- 5.5.2 Deep Q-Learning for Vehicular Computation Offloading -- 6 Mobile Edge Computing for UAVs -- 6.1 Unmanned Aerial Vehicle-Assisted Mobile Edge Computing (MEC) Networks -- 6.2 Joint Trajectory and Resource Optimization in UAV-Assisted MEC Networks -- 6.2.1 Resource Allocation and Optimization in the Scenario of a UAV Exploiting MEC Computing Capabilities
6.2.2 Resource Allocation and Optimization in the Scenario of a UAV Serving as a Computing Server -- 6.2.3 Resource Allocation and Optimization in the Scenario of a UAV Serving as a Relay for Computation Offloading -- 6.3 Case Study: UAV Deployment and Resource Optimization for MEC at a Wind Farm -- 6.3.1 UAV Deployment for MEC at a Wind Farm -- 6.3.2 Joint Trajectory and Resource Optimization of UAV-Aided MEC at a Wind Farm -- 6.4 Conclusions -- 7 The Future of Mobile Edge Computing -- 7.1 The Integration of Blockchain and Mobile Edge Computing (MEC) -- 7.1.1 The Blockchain Structure
7.1.2 Blockchain Classification
Record Nr. UNISA-996464547003316
Zhang Yan  
Cham, : Springer International Publishing AG, 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Mobile Edge Computing [[electronic resource]]
Mobile Edge Computing [[electronic resource]]
Autore Zhang Yan
Pubbl/distr/stampa Cham, : Springer International Publishing AG, 2021
Descrizione fisica 1 online resource (123 p.)
Collana Simula SpringerBriefs on Computing
Soggetto topico Mobile & handheld device programming / Apps programming
WAP (wireless) technology
Electrical engineering
Computing & information technology
Soggetto non controllato Open Access
mobile edge computing
5G beyond
6G
edge caching
Internet of Things
UAV
ISBN 3-030-83944-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Acknowledgements -- Contents -- Acronyms -- 1 Introduction -- 1.1 Mobile Cloud Computing (MCC) -- 1.2 Overview of MEC -- 1.3 Book Organization -- 2 Mobile Edge Computing -- 2.1 A Hierarchical Architecture of Mobile Edge Computing (MEC) -- 2.2 Computation Model -- 2.2.1 Computation Model of Local Execution -- 2.2.2 Computation Model of Full Offloading -- 2.2.3 A Computation Model for Partial Offloading -- 2.3 Offloading Policy -- 2.3.1 Binary Offloading -- 2.3.2 Partial Offloading -- 2.4 Challenges and Future Directions -- 3 Mobile Edge Caching -- 3.1 Introduction
3.2 The Architecture of Mobile Edge Caching -- 3.3 Caching Performance Metrics -- 3.3.1 Hit Rate Ratio -- 3.3.2 Content Acquisition Latency -- 3.3.3 Quality of Experience (QoE) -- 3.3.4 Caching System Utility -- 3.4 Caching Service Design and Data Scheduling Mechanisms -- 3.4.1 Edge Caching Based on Network Infrastructure Services -- 3.4.2 Edge Caching Based on D2D Services -- 3.4.3 Hybrid Service-Enabled Edge Caching -- 3.5 Case Study: Deep Reinforcement Learning-Empowered … -- 3.5.1 System Model -- 3.5.2 Problem Formulation and a DDPG-Based Optimal Content Dispatch Scheme
3.5.3 Numerical Results -- 4 Mobile Edge Computing for Beyond 5G/6G -- 4.1 Fundamental Characteristics of 6G -- 4.2 Integrating Mobile Edge Computing (MEC) … -- 4.2.1 Use Cases of Integrating MEC into 6G -- 4.2.2 Applications of Integrating MEC into 6G -- 4.2.3 Challenges of Integrating MEC into 6G -- 4.3 Case Study: MEC-Empowered Edge Model Sharing for 6G -- 4.3.1 Sharing at the Edge: From Data to Model -- 4.3.2 Architecture of Edge Model Sharing -- 4.3.3 Processes of Edge Model Sharing -- 5 Mobile Edge Computing for the Internet of Vehicles -- 5.1 Introduction -- 5.2 Challenges in VEC
5.3 Architecture of VEC -- 5.4 Key Techniques of VEC -- 5.4.1 Task Offloading -- 5.4.2 Heterogeneous Edge Server Cooperation -- 5.4.3 AI-Empowered VEC -- 5.5 A Case Study -- 5.5.1 Predictive Task Offloading for Fast-Moving Vehicles -- 5.5.2 Deep Q-Learning for Vehicular Computation Offloading -- 6 Mobile Edge Computing for UAVs -- 6.1 Unmanned Aerial Vehicle-Assisted Mobile Edge Computing (MEC) Networks -- 6.2 Joint Trajectory and Resource Optimization in UAV-Assisted MEC Networks -- 6.2.1 Resource Allocation and Optimization in the Scenario of a UAV Exploiting MEC Computing Capabilities
6.2.2 Resource Allocation and Optimization in the Scenario of a UAV Serving as a Computing Server -- 6.2.3 Resource Allocation and Optimization in the Scenario of a UAV Serving as a Relay for Computation Offloading -- 6.3 Case Study: UAV Deployment and Resource Optimization for MEC at a Wind Farm -- 6.3.1 UAV Deployment for MEC at a Wind Farm -- 6.3.2 Joint Trajectory and Resource Optimization of UAV-Aided MEC at a Wind Farm -- 6.4 Conclusions -- 7 The Future of Mobile Edge Computing -- 7.1 The Integration of Blockchain and Mobile Edge Computing (MEC) -- 7.1.1 The Blockchain Structure
7.1.2 Blockchain Classification
Record Nr. UNINA-9910502647303321
Zhang Yan  
Cham, : Springer International Publishing AG, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Urban metabolism : theory, method and application / / Yan Zhang
Urban metabolism : theory, method and application / / Yan Zhang
Autore Zhang Yan
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer, , [2023]
Descrizione fisica 1 online resource (474 pages)
Disciplina 359
Soggetto topico Urban ecology (Biology)
ISBN 9789811991233
9789811991226
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto PART I Theory -- Chapter 1 Connotation of urban metabolism -- Chapter 2 Research progress of urban metabolism -- Chapter 3 Urban metabolism research framework -- PART II Method -- Chapter 4 Accounting evaluation of urban metabolism -- Chapter 5 Urban metabolism model simulation -- Chapter 6 Regulation of urban metabolism optimization -- PART III Application- Chapter 7 Material metabolism process analysis- Chapter 8 Energy metabolism process analysis -- Chapter 9 Analysis of carbon metabolism -- Chapter 10 Analysis of urban nitrogen metabolism process -- Chapter 11 Analysis of metabolic process in the park.
Record Nr. UNINA-9910659479603321
Zhang Yan  
Singapore : , : Springer, , [2023]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui