Energy Technology 2019 [[electronic resource] ] : Carbon Dioxide Management and Other Technologies / / edited by Tao Wang, Xiaobo Chen, Donna Post Guillen, Lei Zhang, Ziqi Sun, Cong Wang, Nawshad Haque, John A. Howarter, Neale R Neelameggham, Shadia Ikhmayies, York R. Smith, L Tafaghodi, Amit Pandey |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XX, 308 p. 183 illus., 151 illus. in color.) |
Disciplina | 620.11 |
Collana | The Minerals, Metals & Materials Series |
Soggetto topico |
Materials science
Force and energy Renewable energy resources Energy Materials Characterization and Evaluation of Materials Renewable and Green Energy |
ISBN | 3-030-06209-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part 1. Energy Technologies and CO2 Management Symposium -- Gas Hydrate-based CO2 Separation Process: Quantitative Assessment of the Effectiveness of Various Chemical Additives Involved in the Process -- Tar Removal from Hot Coke Oven Gas for H2 Amplification with In Situ CO2 Capture -- An Evaluation Method for Material and Energy Conversion Effect with Steel Manufacturing Process Data -- Preparation and Characterization of Activated Carbon from Waste Ion-exchange Resin for CO2 Adsorption -- Evaluation of Variation in the Life Cycle Based Environmental Impacts for Copper Concentrate Production -- Direct Reduction of Copper Slag Composite Pellets within Lignite Using Biomass as Binder -- Thermodynamic Analysis of Incineration Treatment of Waste Disposable Syringes in an EAF Steel-making Process -- The Reduction Kinetic of the Combined Cu-based Oxygen Carrier Used for Chemical Looping Gasification Technology -- Synergistic Effect Between Fat Coal and Poplar During Co-pyrolysis with Thermal Behavior and ATR-FTIR Analysis -- Flow Characteristic of Two-phase Bubble Reactor for Slag Waste Heat Recovery -- Improving Energy Efficiency in Direct Method for Continuous Casting of Lead Sheets -- Research on High Efficiency Energy Conversion Technology for Modern Hot Blast Stove -- An Exergy Study of Cowper Stove Operations with an Iron Blast Furnace -- Waste Heat Recovery from Aluminum Production -- Leaching and Carbonation of Electric Arc Furnace(EAF) Slag under a Microwave Field for Mineral Carbonation -- A Novel Preparation of Bi2O3 and Their Potent Photocatalytic Activity under Visible-light Irradiation -- Energy Conservation in Sintering Ignition Process Based on Comprehensive Ignition Intensity -- Part 2. Deriving Value from Challenging Waste Streams: Recycling and Sustainability Joint Session -- Behavior of Co, Ni and Precious Metals in Copper Converting Process: Experimental Study -- Recycling of EAF Dust through Source Separation -- A Sustainable Methodology for Recycling Electric Arc Furnace Dust -- Thermal Separation and Leaching of Valuable Elements from Waste-derived Ashes -- Different Methods for the Characterization of Ash Compositions in Co-firing Boilers -- Utilization CFA-derived Tobermorite Fiber as Crystallization Revulsive in Autoclaved Concrete Block Production -- An Electrochemical Procedure for Copper Removal from Regenerated Pickling Solutions of Steel Plants -- Upgrading the Copper Value in a Waste Copper Smelter Dust Using the Falcon Concentrator -- Towards Commercialization of Indium Recovery from Waste Liquid Crystal Display Screens -- Engineering, Scientific, and Policy Inputs for Developing a Levelized Cost of Energy Storage Model -- Recovery of Gallium and Arsenic from Gallium Arsenide Semiconductor Scraps -- Rapid Removal of Pb(II) from Acid Wastewater using Vanadium Titanium-bearing Magnetite Particles Coated by Humic Acidcoated by humic acid(VTM-HA) Magnetic Particles -- Study on the Technology of Synthesizing MgAl2O4 Spinel Refractory Material from Waste Chromium Slag of a Certain Chrome Plant in China -- Effect of Ferrosilicon on Reduction of Cr2O3 in Steelmaking Slags -- Bacterial Degradation of Free Cyanide in Alkaline Medium Using Bacillus Licheniformis Strain -- Determination of Limiting Current Density of a Solution with Copper, Zinc and EDTA from the Effluent of Brass Electrodeposition -- Effect of the PH on the Recovery of Al3+, Co2+, Cr3+, Cu2+, Fe3+, Mg2+, Mn2+, Ni2+ and Zn2+ by Purolite S950 -- Evaluation of the Occurrence of Fouling and Scaling on the Membrane HDX 200 for the Treatment of the Effluent of Brass Electrodeposition with EDTA as Complexing Agent -- High Temperature Crystallization Kinetics of MgSO4.H2O -- Preparation of Glass-ceramic from Titanium-bearing Blast Furnace Slag by “Petrurgic” Method -- Recovery of Copper from Nickel Laterite Leach Waste by Chemical Reduction Using Sodium Dithionite -- Recovery of Nickel and Cobalt from a Waste Zone of Nickel Laterite Ore Using a Mixture of Extractants in Solvent Extraction Technique -- White Ordinary Portland Cement Paste with Iron Oxide Powders Containing Arsenic Contents -- Part 3. Solar Cell Silicon -- Three-Dimensional Crystal-Plasticity based Model for Intrinsic Stresses in Multi-Junction Photovoltaic -- A Review of Solar Silicon Recycling -- Thermo-Calc of the Phase Diagram of the Fe-Si System -- Crystal Growth Mechanism of Si in Hypereutectic Al-Si Melt during the Electromagnetic Directional Solidification -- Thermo-Calc of the Phase Diagram of Calcium Silicon (Ca-Si) System -- Leaching of Indium from ITO Present in Amorphous Silicon Photovoltaic Modules -- Part 4. Materials for Energy Conversion and Storage -- Direct Performance Simulation Based on the Microstructure of SOFC Electrodes: A Phase Field Approach -- Effect of Sonication Power on Al2O3 Coated LiNi0.5Mn0.3Co0.2O2 Cathode Material for LIB -- Effect of Nano-graphite Dispersion on the Thermal Solar Selective Absorbance of Polymeric-based Coating Material -- Synthesis of MoAlB Particulates and Their Porous Derivatives by Selective Deintercalation of Al from MoAlB -- A New Economical Method for Fabricating High-purity Bi2O3 via Extraction-precipitation Stripping and Post Annealing -- Part 5. Stored Renewable Energy in Coal -- Aluminum-silicon Alloys Prepared from High-aluminum Fly Ash to Extract Magnesium from Serpentine -- Organic Agriculture Using Biomaterial Coal -- Extraction and Production of Rare Earth Elements from Coal Seam Bedrock and Caprock -- Extraction and Thermal Dissolution of Low-rank Coal by N-methyl-2-pyrrolidinone -- Enhancement of Coal Nanostructure and Investigation of its Novel Properties. |
Record Nr. | UNINA-9910741192403321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Energy Technology 2020: Recycling, Carbon Dioxide Management, and Other Technologies [[electronic resource] /] / edited by Xiaobo Chen, Yulin Zhong, Lei Zhang, John A. Howarter, Alafara Abdullahi Baba, Cong Wang, Ziqi Sun, Mingming Zhang, Elsa Olivetti, Alan Luo, Adam Powell |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (XVIII, 434 p. 220 illus., 171 illus. in color.) |
Disciplina | 333.79 |
Collana | The Minerals, Metals & Materials Series |
Soggetto topico |
Materials science
Force and energy Fossil fuels Energy systems Renewable energy resources Engineering—Materials Energy Materials Fossil Fuels (incl. Carbon Capture) Energy Systems Renewable and Green Energy Characterization and Evaluation of Materials Materials Engineering Energia Energies renovables Reducció del diòxid de carboni Enginyeria sostenible |
Soggetto genere / forma |
Congressos
Llibres electrònics |
ISBN | 3-030-36830-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910373895303321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Energy Technology 2024 [[electronic resource] ] : Carbon Dioxide Management and Other Technologies / / edited by Chukwunwike Iloeje, Shafiq Alam, Donna Post Guillen, Fiseha Tesfaye, Lei Zhang, Susanna A. C. Hockaday, Neale R. Neelameggham, Hong Peng, Nawshad Haque, Onuralp Yücel, Alafara Abdullahi Baba |
Autore | Iloeje Chukwunwike |
Edizione | [1st ed. 2024.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
Descrizione fisica | 1 online resource (301 pages) |
Disciplina | 621.042 |
Altri autori (Persone) |
AlamShafiq
GuillenDonna Post TesfayeFiseha ZhangLei HockadaySusanna A. C NeelamegghamNeale R PengHong HaqueNawshad YücelOnuralp |
Collana | The Minerals, Metals & Materials Series |
Soggetto topico |
Renewable energy sources
Wind power Water-power Energy storage Climatology Materials Carbon Chemistry Renewable Energy Wind Energy Hydroenergy Mechanical and Thermal Energy Storage Climate Sciences Carbon Materials |
ISBN | 3-031-50244-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910831010003321 |
Iloeje Chukwunwike
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
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Lo trovi qui: Univ. Federico II | ||
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Federated Learning for Future Intelligent Wireless Networks |
Autore | Sun Yao |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2023 |
Descrizione fisica | 1 online resource (317 pages) |
Altri autori (Persone) |
YouChaoqun
FengGang ZhangLei |
ISBN |
1-119-91390-X
1-119-91392-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover -- Title Page -- Copyright -- Contents -- About the Editors -- Preface -- Chapter 1 Federated Learning with Unreliable Transmission in Mobile Edge Computing Systems -- 1.1 System Model -- 1.1.1 Local Model Training -- 1.1.2 Update Result Feedback via the Wireless Channels -- 1.1.3 Global Model Averaging -- 1.2 Problem Formulation -- 1.2.1 Model Accuracy Loss -- 1.2.2 Communication Loss ϵt,mC -- 1.2.3 Sample Selection Loss ϵt,mS -- 1.2.4 Model Training Loss ϵt,mM -- 1.2.5 Problem Formulation -- 1.2.5.1 Objective Function -- 1.2.5.2 Energy Consumption Constraint -- 1.2.5.3 User Selection Constraint -- 1.2.5.4 Data Volume Constraint of Local Training Datasets -- 1.3 A Joint Optimization Algorithm -- 1.3.1 Compression Optimization -- 1.3.1.1 Optimization of At,m -- 1.3.1.2 Optimization of Dt,m -- 1.3.2 Joint Optimization of At,m and Dt,m -- 1.3.3 Optimization of Sample Selection -- 1.3.4 Optimization of User Selection -- 1.3.5 A Joint Optimization Algorithm -- 1.4 Simulation and Experiment Results -- Bibliography -- Chapter 2 Federated Learning with non‐IID data in Mobile Edge Computing Systems -- 2.1 System Model -- 2.1.1 Local Model Training -- 2.1.2 Federated Averaging -- 2.2 Performance Analysis and Averaging Design -- 2.2.1 The Analysis of Expected Weight Divergence -- 2.2.1.1 The Analysis of Expected Data Distribution Divergence E{ℒm} -- 2.2.1.2 An Upper Bound of δ(tK) -- 2.2.2 Rethinking the Settings of Federated Averaging Weights -- 2.3 Data Sharing Scheme -- 2.3.1 Data Sharing -- 2.3.2 Problem Formation -- 2.3.2.1 Objective Function -- 2.3.3 Optimization Constraints -- 2.3.4 A Joint Optimization Algorithm -- 2.3.4.1 CPU Cycle Frequency Optimization Subproblem -- 2.3.4.2 Transmit Power Allocation Subproblem -- 2.3.4.3 Sharing Dataset Optimization Subproblem -- 2.3.4.4 User Selection Optimization Subproblem.
2.3.4.5 A Joint Optimization Algorithm -- 2.4 Simulation Results -- Bibliography -- Chapter 3 How Many Resources Are Needed to Support Wireless Edge Networks -- 3.1 Introduction -- 3.2 System Model -- 3.2.1 FL Model -- 3.2.1.1 Loss Function -- 3.2.1.2 Updating Model -- 3.2.2 Computing Resource Consumption Model -- 3.2.3 Communication Resource Consumption Model -- 3.2.3.1 Uplink -- 3.2.3.2 DownLink -- 3.3 Wireless Bandwidth and Computing Resources Consumed for Supporting FL‐Enabled Wireless Edge Networks -- 3.3.1 SINR Analysis (Uplink Direction) -- 3.3.1.1 Probability Density Function (PDF) of SINR -- 3.3.1.2 Transmission Success Probability of Local Models -- 3.3.2 SNR Analysis (Downlink Direction) -- 3.3.3 Wireless Bandwidth Needed for Transmitting Local/Global Models -- 3.3.4 Computing Resources Needed for Training Local Models -- 3.4 The Relationship between FL Performance and Consumed Resources -- 3.4.1 Local Model Accuracy -- 3.4.2 Global Model Accuracy -- 3.5 Discussions of Three Cases -- 3.5.1 Case 1: Sufficient Communication Resources and Computing Resources -- 3.5.2 Case 2: Sufficient Computing Resources and Insufficient Communication Resources -- 3.5.3 Case 3: Sufficient Communication Resources and Insufficient Computing Resources -- 3.6 Numerical Results and Discussion -- 3.6.1 Simulation Setting -- 3.6.2 Simulation Results -- 3.6.2.1 Verifying Analytical Results -- 3.6.2.2 Measuring the Performance of FL Settings -- 3.6.2.3 Examining the Trade‐Off between the Computing and Communication Resources under FL Framework -- 3.7 Conclusion -- 3.8 Proof of Corollary 3.2 -- 3.9 Proof of Corollary 3.3 -- References -- Chapter 4 Device Association Based on Federated Deep Reinforcement Learning for Radio Access Network Slicing -- 4.1 Introduction -- 4.2 System Model -- 4.2.1 Network Model -- 4.2.2 RAN Slicing -- 4.2.3 Service Requirements. 4.2.4 Handoff Cost -- 4.3 Problem Formulation -- 4.3.1 Problem Statement -- 4.3.2 Markov Decision Process Modeling for Device Association -- 4.3.2.1 State -- 4.3.2.2 Action -- 4.3.2.3 Transition Probability -- 4.3.2.4 Reward -- 4.4 Hybrid Federated Deep Reinforcement Learning for Device Association -- 4.4.1 Framework of HDRL -- 4.4.1.1 DRL on Smart Devices -- 4.4.1.2 Horizontal Model Aggregation (hDRL) Level -- 4.4.1.3 Vertical Model Aggregation (vDRL) Level -- 4.4.2 Algorithm of Horizontal Model Aggregation -- 4.4.2.1 DDQN for Training Local Model -- 4.4.2.2 Update Models -- 4.4.3 Algorithm of Vertical Model Aggregation -- 4.4.4 HDRL Algorithm for Device Association -- 4.4.5 Convergence Analysis -- 4.5 Numerical Results -- 4.5.1 Simulation Settings -- 4.5.2 Numerical Results and Discussions -- 4.6 Conclusion -- Acknowledgment -- References -- Chapter 5 Deep Federated Learning Based on Knowledge Distillation and Differential Privacy -- 5.1 Introduction -- 5.2 Related Work -- 5.3 System Model -- 5.3.1 Security Model -- 5.4 The Implementation Details of the Proposed Strategy -- 5.4.1 Security Analysis -- 5.5 Performance Evaluation -- 5.5.1 Experimental Environment -- 5.5.2 Experimental Results -- 5.6 Conclusions -- Bibliography -- Chapter 6 Federated Learning‐Based Beam Management in Dense Millimeter Wave Communication Systems -- 6.1 Introduction -- 6.1.1 Prior Work -- 6.1.2 Contributions -- 6.2 System Model -- 6.3 Problem Formulation and Analysis -- 6.4 FL‐Based Beam Management in UDmmN -- 6.4.1 Markov Decision Process Model -- 6.4.2 FL‐Based Beam Management -- 6.4.2.1 Data Cleaning -- 6.4.2.2 Model Training -- 6.4.3 User Association in UDmmN -- 6.4.3.1 Downlink Measurements -- 6.4.3.2 User Perception -- 6.4.3.3 Multiple Association -- 6.5 Performance Evaluation -- 6.5.1 Comparison with BFS and EDB -- 6.5.2 Comparison with BMDL and BMCL. 6.6 Conclusions -- Bibliography -- Chapter 7 Blockchain‐Empowered Federated Learning Approach for An Intelligent and Reliable D2D Caching Scheme -- 7.1 Introduction -- 7.2 Related Work -- 7.2.1 Learning‐Based D2D Caching Schemes -- 7.2.2 Blockchain‐Enabled D2D Caching Schemes -- 7.3 System Model -- 7.3.1 D2D Network -- 7.3.2 Content Caching Schemes -- 7.3.3 Transmission Latency -- 7.4 Problem Formulation and DRL‐Based Model Training -- 7.4.1 Problem Formulation -- 7.4.1.1 Action -- 7.4.1.2 State -- 7.4.1.3 Reward and Return -- 7.4.2 DRL‐Based Local Model Training -- 7.5 Privacy‐Preserved and Secure BDRFL Caching Scheme Design -- 7.5.1 Task and Requirements Publication -- 7.5.2 Appropriate UE Selection -- 7.5.3 Local Model Training -- 7.5.4 Area Model Update and Recording -- 7.5.5 Global Model Update and Recording -- 7.6 Consensus Mechanism and Federated Learning Model Update -- 7.6.1 Double‐Layer Blockchain Consensus Mechanism -- 7.6.2 FL Area Model Update in Subchain Layer -- 7.6.3 FL Global Model Update in Mainchain Layer -- 7.7 Simulation Results and Discussions -- 7.7.1 Simulation Setting -- 7.7.2 Numerical Results -- 7.8 Conclusion -- References -- Chapter 8 Heterogeneity‐Aware Dynamic Scheduling for Federated Edge Learning -- 8.1 Introduction -- 8.2 Related Works -- 8.3 System Model for FEEL -- 8.3.1 Flow of FEEL with Scheduling -- 8.3.2 Delay and Energy Model in FEEL -- 8.3.2.1 Delay Model -- 8.3.2.2 Energy Model -- 8.4 Heterogeneity‐Aware Dynamic Scheduling Problem Formulation -- 8.4.1 Convergence of FEEL with Scheduling -- 8.4.2 Scheduling Policy with Sequential Transmission -- 8.4.3 Problem Formulation -- 8.5 Dynamic Scheduling Algorithm Design and Analysis -- 8.5.1 Benchmark: R‐Round Lookahead Algorithm -- 8.5.2 DISCO: Dynamic Scheduling Algorithm -- 8.5.3 Algorithm Analysis, Complexity Reduction, and Implementation Discussion. 8.5.3.1 Algorithm Analysis -- 8.5.3.2 Complexity Reduction -- 8.5.3.3 Implementation Discussion -- 8.6 Evaluation Results -- 8.6.1 Parameter Settings -- 8.6.2 Numerical Results -- 8.6.3 Experimental Results -- 8.7 Conclusions -- 8.A.1 Proof of Theorem 8.2 -- 8.A.2 Proof of Theorem 8.3 -- 8.A.2.1 Feasibility Proof -- 8.A.2.2 Optimality Proof -- References -- Chapter 9 Robust Federated Learning with Real‐World Noisy Data -- 9.1 Introduction -- 9.1.1 Work Prior to FedCorr -- 9.2 Related Work -- 9.2.1 Federated Methods -- 9.2.2 Local Intrinsic Dimension (LID) -- 9.2.2.1 Estimation of LID -- 9.3 FedCorr -- 9.3.1 Preliminaries -- 9.3.1.1 Data Partition -- 9.3.1.2 Noise Model -- 9.3.1.3 LID Scores for Local Models -- 9.3.2 Federated Preprocessing Stage -- 9.3.2.1 Client Iteration and Fraction Scheduling -- 9.3.2.2 Mixup and Local Proximal Regularization -- 9.3.2.3 Identification of Noisy Clients and Noisy Samples -- 9.3.3 Federated Fine‐Tuning Stage -- 9.3.4 Federated Usual Training Stage -- 9.4 Experiments -- 9.4.1 Experimental Setup -- 9.4.1.1 Baselines -- 9.4.1.2 Implementation Details -- 9.4.2 Comparison with State‐of‐the‐Art Methods -- 9.4.2.1 IID Settings -- 9.4.2.2 Non‐IID Settings -- 9.4.2.3 Combination with Other FL Methods -- 9.4.2.4 Comparison of Communication Efficiency -- 9.4.3 Ablation Study -- 9.5 Further Remarks -- Bibliography -- Chapter 10 Analog Over‐the‐Air Federated Learning: Design and Analysis -- 10.1 Introduction -- 10.2 System Model -- 10.3 Analog Over‐the‐Air Model Training -- 10.3.1 Salient Features -- 10.3.2 Heavy‐Tailed Interference -- 10.4 Convergence Analysis -- 10.4.1 Preliminaries -- 10.4.2 Convergence Rate of AirFL -- 10.4.3 Key Observations -- 10.5 Numerical Results -- 10.6 Conclusion -- Bibliography -- Chapter 11 Federated Edge Learning for Massive MIMO CSI Feedback -- 11.1 Introduction -- 11.2 System Model. 11.2.1 Channel Model and Signal Model. |
Record Nr. | UNINA-9910830328703321 |
Sun Yao
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Newark : , : John Wiley & Sons, Incorporated, , 2023 | ||
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Lo trovi qui: Univ. Federico II | ||
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Federated Learning for Future Intelligent Wireless Networks |
Autore | Sun Yao |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2023 |
Descrizione fisica | 1 online resource (317 pages) |
Altri autori (Persone) |
YouChaoqun
FengGang ZhangLei |
ISBN |
1-119-91390-X
1-119-91392-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover -- Title Page -- Copyright -- Contents -- About the Editors -- Preface -- Chapter 1 Federated Learning with Unreliable Transmission in Mobile Edge Computing Systems -- 1.1 System Model -- 1.1.1 Local Model Training -- 1.1.2 Update Result Feedback via the Wireless Channels -- 1.1.3 Global Model Averaging -- 1.2 Problem Formulation -- 1.2.1 Model Accuracy Loss -- 1.2.2 Communication Loss ϵt,mC -- 1.2.3 Sample Selection Loss ϵt,mS -- 1.2.4 Model Training Loss ϵt,mM -- 1.2.5 Problem Formulation -- 1.2.5.1 Objective Function -- 1.2.5.2 Energy Consumption Constraint -- 1.2.5.3 User Selection Constraint -- 1.2.5.4 Data Volume Constraint of Local Training Datasets -- 1.3 A Joint Optimization Algorithm -- 1.3.1 Compression Optimization -- 1.3.1.1 Optimization of At,m -- 1.3.1.2 Optimization of Dt,m -- 1.3.2 Joint Optimization of At,m and Dt,m -- 1.3.3 Optimization of Sample Selection -- 1.3.4 Optimization of User Selection -- 1.3.5 A Joint Optimization Algorithm -- 1.4 Simulation and Experiment Results -- Bibliography -- Chapter 2 Federated Learning with non‐IID data in Mobile Edge Computing Systems -- 2.1 System Model -- 2.1.1 Local Model Training -- 2.1.2 Federated Averaging -- 2.2 Performance Analysis and Averaging Design -- 2.2.1 The Analysis of Expected Weight Divergence -- 2.2.1.1 The Analysis of Expected Data Distribution Divergence E{ℒm} -- 2.2.1.2 An Upper Bound of δ(tK) -- 2.2.2 Rethinking the Settings of Federated Averaging Weights -- 2.3 Data Sharing Scheme -- 2.3.1 Data Sharing -- 2.3.2 Problem Formation -- 2.3.2.1 Objective Function -- 2.3.3 Optimization Constraints -- 2.3.4 A Joint Optimization Algorithm -- 2.3.4.1 CPU Cycle Frequency Optimization Subproblem -- 2.3.4.2 Transmit Power Allocation Subproblem -- 2.3.4.3 Sharing Dataset Optimization Subproblem -- 2.3.4.4 User Selection Optimization Subproblem.
2.3.4.5 A Joint Optimization Algorithm -- 2.4 Simulation Results -- Bibliography -- Chapter 3 How Many Resources Are Needed to Support Wireless Edge Networks -- 3.1 Introduction -- 3.2 System Model -- 3.2.1 FL Model -- 3.2.1.1 Loss Function -- 3.2.1.2 Updating Model -- 3.2.2 Computing Resource Consumption Model -- 3.2.3 Communication Resource Consumption Model -- 3.2.3.1 Uplink -- 3.2.3.2 DownLink -- 3.3 Wireless Bandwidth and Computing Resources Consumed for Supporting FL‐Enabled Wireless Edge Networks -- 3.3.1 SINR Analysis (Uplink Direction) -- 3.3.1.1 Probability Density Function (PDF) of SINR -- 3.3.1.2 Transmission Success Probability of Local Models -- 3.3.2 SNR Analysis (Downlink Direction) -- 3.3.3 Wireless Bandwidth Needed for Transmitting Local/Global Models -- 3.3.4 Computing Resources Needed for Training Local Models -- 3.4 The Relationship between FL Performance and Consumed Resources -- 3.4.1 Local Model Accuracy -- 3.4.2 Global Model Accuracy -- 3.5 Discussions of Three Cases -- 3.5.1 Case 1: Sufficient Communication Resources and Computing Resources -- 3.5.2 Case 2: Sufficient Computing Resources and Insufficient Communication Resources -- 3.5.3 Case 3: Sufficient Communication Resources and Insufficient Computing Resources -- 3.6 Numerical Results and Discussion -- 3.6.1 Simulation Setting -- 3.6.2 Simulation Results -- 3.6.2.1 Verifying Analytical Results -- 3.6.2.2 Measuring the Performance of FL Settings -- 3.6.2.3 Examining the Trade‐Off between the Computing and Communication Resources under FL Framework -- 3.7 Conclusion -- 3.8 Proof of Corollary 3.2 -- 3.9 Proof of Corollary 3.3 -- References -- Chapter 4 Device Association Based on Federated Deep Reinforcement Learning for Radio Access Network Slicing -- 4.1 Introduction -- 4.2 System Model -- 4.2.1 Network Model -- 4.2.2 RAN Slicing -- 4.2.3 Service Requirements. 4.2.4 Handoff Cost -- 4.3 Problem Formulation -- 4.3.1 Problem Statement -- 4.3.2 Markov Decision Process Modeling for Device Association -- 4.3.2.1 State -- 4.3.2.2 Action -- 4.3.2.3 Transition Probability -- 4.3.2.4 Reward -- 4.4 Hybrid Federated Deep Reinforcement Learning for Device Association -- 4.4.1 Framework of HDRL -- 4.4.1.1 DRL on Smart Devices -- 4.4.1.2 Horizontal Model Aggregation (hDRL) Level -- 4.4.1.3 Vertical Model Aggregation (vDRL) Level -- 4.4.2 Algorithm of Horizontal Model Aggregation -- 4.4.2.1 DDQN for Training Local Model -- 4.4.2.2 Update Models -- 4.4.3 Algorithm of Vertical Model Aggregation -- 4.4.4 HDRL Algorithm for Device Association -- 4.4.5 Convergence Analysis -- 4.5 Numerical Results -- 4.5.1 Simulation Settings -- 4.5.2 Numerical Results and Discussions -- 4.6 Conclusion -- Acknowledgment -- References -- Chapter 5 Deep Federated Learning Based on Knowledge Distillation and Differential Privacy -- 5.1 Introduction -- 5.2 Related Work -- 5.3 System Model -- 5.3.1 Security Model -- 5.4 The Implementation Details of the Proposed Strategy -- 5.4.1 Security Analysis -- 5.5 Performance Evaluation -- 5.5.1 Experimental Environment -- 5.5.2 Experimental Results -- 5.6 Conclusions -- Bibliography -- Chapter 6 Federated Learning‐Based Beam Management in Dense Millimeter Wave Communication Systems -- 6.1 Introduction -- 6.1.1 Prior Work -- 6.1.2 Contributions -- 6.2 System Model -- 6.3 Problem Formulation and Analysis -- 6.4 FL‐Based Beam Management in UDmmN -- 6.4.1 Markov Decision Process Model -- 6.4.2 FL‐Based Beam Management -- 6.4.2.1 Data Cleaning -- 6.4.2.2 Model Training -- 6.4.3 User Association in UDmmN -- 6.4.3.1 Downlink Measurements -- 6.4.3.2 User Perception -- 6.4.3.3 Multiple Association -- 6.5 Performance Evaluation -- 6.5.1 Comparison with BFS and EDB -- 6.5.2 Comparison with BMDL and BMCL. 6.6 Conclusions -- Bibliography -- Chapter 7 Blockchain‐Empowered Federated Learning Approach for An Intelligent and Reliable D2D Caching Scheme -- 7.1 Introduction -- 7.2 Related Work -- 7.2.1 Learning‐Based D2D Caching Schemes -- 7.2.2 Blockchain‐Enabled D2D Caching Schemes -- 7.3 System Model -- 7.3.1 D2D Network -- 7.3.2 Content Caching Schemes -- 7.3.3 Transmission Latency -- 7.4 Problem Formulation and DRL‐Based Model Training -- 7.4.1 Problem Formulation -- 7.4.1.1 Action -- 7.4.1.2 State -- 7.4.1.3 Reward and Return -- 7.4.2 DRL‐Based Local Model Training -- 7.5 Privacy‐Preserved and Secure BDRFL Caching Scheme Design -- 7.5.1 Task and Requirements Publication -- 7.5.2 Appropriate UE Selection -- 7.5.3 Local Model Training -- 7.5.4 Area Model Update and Recording -- 7.5.5 Global Model Update and Recording -- 7.6 Consensus Mechanism and Federated Learning Model Update -- 7.6.1 Double‐Layer Blockchain Consensus Mechanism -- 7.6.2 FL Area Model Update in Subchain Layer -- 7.6.3 FL Global Model Update in Mainchain Layer -- 7.7 Simulation Results and Discussions -- 7.7.1 Simulation Setting -- 7.7.2 Numerical Results -- 7.8 Conclusion -- References -- Chapter 8 Heterogeneity‐Aware Dynamic Scheduling for Federated Edge Learning -- 8.1 Introduction -- 8.2 Related Works -- 8.3 System Model for FEEL -- 8.3.1 Flow of FEEL with Scheduling -- 8.3.2 Delay and Energy Model in FEEL -- 8.3.2.1 Delay Model -- 8.3.2.2 Energy Model -- 8.4 Heterogeneity‐Aware Dynamic Scheduling Problem Formulation -- 8.4.1 Convergence of FEEL with Scheduling -- 8.4.2 Scheduling Policy with Sequential Transmission -- 8.4.3 Problem Formulation -- 8.5 Dynamic Scheduling Algorithm Design and Analysis -- 8.5.1 Benchmark: R‐Round Lookahead Algorithm -- 8.5.2 DISCO: Dynamic Scheduling Algorithm -- 8.5.3 Algorithm Analysis, Complexity Reduction, and Implementation Discussion. 8.5.3.1 Algorithm Analysis -- 8.5.3.2 Complexity Reduction -- 8.5.3.3 Implementation Discussion -- 8.6 Evaluation Results -- 8.6.1 Parameter Settings -- 8.6.2 Numerical Results -- 8.6.3 Experimental Results -- 8.7 Conclusions -- 8.A.1 Proof of Theorem 8.2 -- 8.A.2 Proof of Theorem 8.3 -- 8.A.2.1 Feasibility Proof -- 8.A.2.2 Optimality Proof -- References -- Chapter 9 Robust Federated Learning with Real‐World Noisy Data -- 9.1 Introduction -- 9.1.1 Work Prior to FedCorr -- 9.2 Related Work -- 9.2.1 Federated Methods -- 9.2.2 Local Intrinsic Dimension (LID) -- 9.2.2.1 Estimation of LID -- 9.3 FedCorr -- 9.3.1 Preliminaries -- 9.3.1.1 Data Partition -- 9.3.1.2 Noise Model -- 9.3.1.3 LID Scores for Local Models -- 9.3.2 Federated Preprocessing Stage -- 9.3.2.1 Client Iteration and Fraction Scheduling -- 9.3.2.2 Mixup and Local Proximal Regularization -- 9.3.2.3 Identification of Noisy Clients and Noisy Samples -- 9.3.3 Federated Fine‐Tuning Stage -- 9.3.4 Federated Usual Training Stage -- 9.4 Experiments -- 9.4.1 Experimental Setup -- 9.4.1.1 Baselines -- 9.4.1.2 Implementation Details -- 9.4.2 Comparison with State‐of‐the‐Art Methods -- 9.4.2.1 IID Settings -- 9.4.2.2 Non‐IID Settings -- 9.4.2.3 Combination with Other FL Methods -- 9.4.2.4 Comparison of Communication Efficiency -- 9.4.3 Ablation Study -- 9.5 Further Remarks -- Bibliography -- Chapter 10 Analog Over‐the‐Air Federated Learning: Design and Analysis -- 10.1 Introduction -- 10.2 System Model -- 10.3 Analog Over‐the‐Air Model Training -- 10.3.1 Salient Features -- 10.3.2 Heavy‐Tailed Interference -- 10.4 Convergence Analysis -- 10.4.1 Preliminaries -- 10.4.2 Convergence Rate of AirFL -- 10.4.3 Key Observations -- 10.5 Numerical Results -- 10.6 Conclusion -- Bibliography -- Chapter 11 Federated Edge Learning for Massive MIMO CSI Feedback -- 11.1 Introduction -- 11.2 System Model. 11.2.1 Channel Model and Signal Model. |
Record Nr. | UNINA-9910840873603321 |
Sun Yao
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Newark : , : John Wiley & Sons, Incorporated, , 2023 | ||
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Lo trovi qui: Univ. Federico II | ||
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Infrastructure sustainability through new developments in material, design, construction, maintenance, and testing of pavements : proceedings of the 6th Geo China International Conference on Civil & Transportation Infrastructures : from engineering to smart & green Life cycle solutions-Nanchang, China, 2021 / / Anand Tapase, Jeffrey Lee, Lei Zhang, editors |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (195 pages) |
Disciplina | 624 |
Collana | Sustainable Civil Infrastructures |
Soggetto topico |
Civil engineering
Sustainable engineering |
ISBN | 3-030-79644-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Introduction -- Contents -- About the Editors -- Mechanical Behavior of SMA 8 Modified with Nano Hydrotalcite -- 1 Introduction -- 2 Methodology -- 2.1 Materials -- 2.2 Laboratory Tests -- 3 Results and Discussion -- 3.1 Indirect Tensile Strength and Water Sensitivity -- 3.2 Stiffness -- 3.3 Resistance to Fatigue -- 3.4 Permanent Deformation -- 4 Conclusions -- References -- Application of Graded Crushed Stone Base in Urban Road Asphalt Pavement -- 1 Preface -- 2 Engineering Situation -- 3 Composition Design -- 3.1 Design of Aggregate Composition of CSRM -- 3.2 Composition Design of GBS Mixture -- 4 Construction Process -- 4.1 Mixing and Transportation -- 4.2 Paving -- 4.3 Rolling -- 5 Quality Control and Long-term Monitoring -- 5.1 Compaction Detection -- 5.2 Deflection Detection -- 5.3 Investigation of Pavement Cracks -- 6 Conclusion -- References -- Investigation on the Mechanical Properties of Low Plasticity Clay Contaminated with Engine Oil -- 1 Introduction -- 2 Test Materials and Sample Preparation Method -- 3 Results and Discussion -- 3.1 Atterberg Limits of the Oil Contaminated Clay -- 3.2 Unconfined Compressive Strength (UCS) of the Oil Contaminated Clay -- 3.3 Small-Strain Shear Modulus (Gmax) of the Oil Contaminated Clay -- 4 Discussion -- 5 Conclusions -- References -- Preliminary Observations of Astronomical Coordinates by the SDUST/NAO Digital Zenith Tube -- 1 Introduction -- 2 Basic Principles -- 3 Error Analysis of Astronomical Coordinate -- 3.1 Instrumental Errors -- 3.2 Observing Errors -- 3.3 Data Processing Error -- 4 Practical Observing Results and Discussion -- 4.1 Verification of Internal Precision -- 4.2 Verification of External Precision -- 5 Conclusions -- References -- Properties of Low Strength and High Fluidity Recycled Aggregates -- 1 Introduction -- 2 Regeneration Treatment Process of Construction Waste.
3 Raw Materials and Test Methods -- 3.1 The Raw Material -- 3.2 Test Methods -- 3.3 Test Mix Proportion -- 4 Test Results and Analyses -- 4.1 Workability -- 4.2 Mechanical Properties -- 5 Conclusions -- References -- Influence of Traffic Characterization Methodology on Service Life Prediction of Pavements Subjected to Overweight Traffic Operations -- 1 Introduction -- 2 Representative Sites for Field Testing -- 3 Prediction of Service Life of Pavements Using Different Traffic Inputs -- 3.1 Level 1 Traffic Data -- 3.2 Level 2 Traffic Data -- 3.3 Level 3 Traffic Data -- 4 Field Data Analysis and Results -- 4.1 Influence of Traffic Characterization Methodology on Service Life Predictions -- 4.2 Comparisons of Predicted and Field-Measured Rut Depth -- 4.3 Overestimation of Pavement Service Life due to Level 2 and Level 3 Traffic Inputs -- 5 Summary and Conclusions -- References -- Determination of Landslide High Risk Areas Using GA and GIS Combination in the West of Mazandaran Province -- 1 Introduction -- 2 Methodology -- 2.1 GA -- 2.2 Fuzzy Logic Model -- 3 Area and Data -- 3.1 Study Area -- 3.2 Input Data -- 4 Implementation -- 5 Numerical Result -- 6 Conclusion -- References -- Acceleration of Socio-economic Growth of Rural Parts - Nidhal, Khatav A Case Study -- 1 Introduction -- 2 Socio-economic Survey -- 2.1 Socio-economic Survey of Nidhal Village -- 2.2 Interpretation of Socio-economic Survey -- 2.3 Overall Summary of Socio-economic Survey -- 3 Various Methods for Design of the Solid Waste Plant with Financial Analysis and Work Cycle Management -- 3.1 At Source Reduction and Reuse -- 3.2 Waste Recycling -- 3.3 Composting -- 3.4 Technological Option for Composting of Organic Waste -- 3.5 Wastes to Energy -- 3.6 Waste Disposal -- 4 Solid Waste Management System for Nidhal Village -- 4.1 General Design Considerations. 4.2 Detailed Project Report on SWM for Nidhal Village -- 4.3 Collection of Primary Segregated Waste -- 4.4 Secondary Segregation -- 4.5 Composting -- 4.6 Some Cares Are Needed While Composting is as Follows -- 4.7 Landfilling -- 4.8 Land Required for the Composting and Landfill -- 5 Solar Water Pumping System -- 5.1 Solar Water Pumping System for Nidhal Village -- 5.2 Panel Design for Nidhal Solar Water Pumping Systems -- 5.3 Payback Period Calculations -- 5.4 Electricity Consumption -- 5.5 Advantage -- 5.6 Limitations of PV Pumping System -- 6 Results and Discussion About Solid Waste Management System for Nidhal Village -- 6.1 The Time Required for Composting -- 6.2 Cost Required for Composting -- 6.3 Land Required for Composting Shed -- 6.4 Solar Water Pumping System for Nidhal Village -- 7 Conclusions -- 7.1 Based on the Observation of Survey Data Following Conclusions Are Made -- 7.2 Solid Waste Management System -- 7.3 Solar Water Pumping System -- 8 Recommendations -- References -- Assessing the Bearing Capacity of Backfills by Stress Wave Velocity and Cone Penetration Resistance -- 1 Introduction -- 2 Methodology -- 3 Results and Discussion -- 3.1 Penetration Resistance Determination -- 3.2 Density Measurement -- 3.3 Moisture Content Measurement -- 3.4 California Bearing Ratio Measurement -- 3.5 Correlation between Stress Wave Velocity and DCP Resistance -- 4 Summary and Conclusions -- References -- Potential of Fired Clay Brick for Use as Short Beams and Columns -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussions -- 3.1 Index Properties -- 3.2 Mineralogical and Oxide Composition of the Clay -- 3.3 Compressive Strength of the Interlocking Clay Bricks -- 3.4 Flexural Strength of the Interlocking Clay Bricks -- 4 Conclusion -- References. Sustainable Planning for Provision of Basic Infrastructural Facilities in Rural Areas - Majgaon Village a Case Study -- 1 Introduction -- 2 Socio-Economic Survey -- 2.1 Socio-Economic Survey of Majgaon Village -- 2.2 Interpretation of Socio-Economic Survey -- 2.3 Overall summary of Socio-Economic Survey -- 3 Sewage Treatment Plant for Majgaon Village -- 3.1 Why India Needs Treatment of Wastewater -- 3.2 Wastewater and the Need for WastewaterManagement -- 3.3 Waste Water Management -- 3.4 Types of Sewage Treatment Plants -- 3.5 Comparative Study of Sewage Treatment Plants -- 3.6 Results and Discussion -- 3.7 Life Cycle Cost Analysis -- 4 Solar Water Pumping System -- 4.1 Solar Water Pumping System for Majgaon Village -- 4.2 Payback Period Calculations -- 4.3 Electricity Consumption -- 5 Results and Discussion -- 5.1 Result and Discussion of Sewage Treatment Plant for Majgaon Village -- 5.2 Solar Water Pumping System for Majgaon village -- 6 Conclusions -- References -- A Case Study of Slope Stability Assessment Thames River, London, Canada -- 1 Introduction -- 1.1 The Thames River -- 1.2 Geological Formation -- 1.3 Soil Properties -- 2 Slope Conditions -- 2.1 Slope Collapses -- 2.2 Peak Flow and Flooding -- 2.3 Groundwater and Seepage Flow -- 2.4 Subsurface Barrier -- 2.5 Freezing and Thawing -- 2.6 River Water Under Cutting -- 3 Developable Limits -- 3.1 Stable Slope Allowance -- 3.2 Toe Erosion Allowance -- 3.3 Erosion Access Allowance -- 3.4 Long-Term Stable Top of Slope -- 4 Lessons Learned -- 5 Conclusion -- References -- Characteristics of Recycled Micro Powder Produced Using Construction Waste -- 1 Preface -- 2 Selection of Raw Materials and Preparation of Regenerated Powder -- 3 Test Method -- 4 Result Analyses -- 4.1 Conventional Physical and Chemical Properties -- 4.2 Particle Size Distribution -- 4.3 Chemical Composition. 4.4 Strength Activity Index -- 5 Conclusions -- References -- Simulation of Rock Hydraulics in Rock Joint by Using Discrete Element Method -- 1 Introduction -- 2 Particulate Interface Model and Lattice Model -- 2.1 Particulate Interface Model (PIM) -- 2.2 Lattice Model -- 3 Validation of Fluid Transmission in a Single Fracture -- 3.1 Model Setting -- 3.2 Water Head Distribution -- 4 Variation of Fluid Transmission During Fracture Shearing -- 4.1 Algorithm for Re-meshing Pore Space -- 4.2 Variations of Water Head -- 5 Conclusion -- References -- Author Index. |
Record Nr. | UNINA-9910492140703321 |
Cham, Switzerland : , : Springer, , [2021] | ||
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Lo trovi qui: Univ. Federico II | ||
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Internet of Things and Sensors Networks in 5G Wireless Communications |
Autore | Zhao Guodong |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (222 p.) |
Soggetto non controllato |
fog computing
heterogeneous networks distributed mechanism energy efficiency scheduling CSMA throughput grant-free D2D communication MAC Industrial Internet of Things estimation 5G survey liquid detection power control sensor SINR radio propagation MU association Raspberry Pi reliability latency deterministic Industry 4.0 stochastic geometry dielectric constant Cyber Physical System IoT successive interference cancellation URLLC end-to-end delay resource allocation polynomial interpolation industrial automation cloud computing mMTC smart factory deployment ultra-reliable and low-latency communications PHY aperiodic traffic NB-IoT irregular repetition slotted ALOHA edge computing time-critical eMBB medium access control M2M Internet of Things internet of things sensor network random access smart devices non-orthogonal multiple access USRP WCI narrowband congestion |
ISBN | 3-03928-149-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910372782203321 |
Zhao Guodong
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MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Proceedings from the ICERP 2016 : International Conference on Environmental Research and Public Health / / Yuegang Zuo |
Autore | Zuo Yuegang |
Pubbl/distr/stampa | Warsaw ; ; Berlin : , : De Gruyter Open Poland, , [2017] |
Descrizione fisica | 1 online resource |
Disciplina | 610 |
Soggetto topico | MEDICAL / Public Health |
Soggetto genere / forma | Electronic books. |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Frontmatter -- Contents -- Preface -- Committees -- Keynote Speech I. Environmental Estrogenic Pollution and Public Health / Zuo, Yuegang -- Keynote Speech II. Development of Advanced Oxide Nano-materials for Environmental Catalysis Applications / Boo, Jin-Hyo -- Water Resource Sustainable Utilization Evaluation. Index System in Jiangsu Coast Reclamation Region / Ren, Li / Xiang, Xinyi / Liu, Weilin -- Study on the TD-GC-MS to Detect HD in Exhaust Gas / Gao, Shi / Zuom, Guomin / Chen, Junxiang / Zhou, Jianmei / Liu, Jiwei -- Study on the Regeneration of Waste Lubricating Oil by Porous Nano Adsorption / Wang, Shixian / Lu, Xia -- The Determination and Application of Characteristic Parameter for Spilled Oil Vertical Concentration Distribution Formula / Chen, B. / Han, L.X. / Yuan, L.l. -- Contamination Status and Potential Ecological Risks of Heavy Metal in Sediments from the Qiantang River / Ding, Tao / Guo, Zhenni / Ying, Chengxi -- Influence of Atmosphere Environment on Aircraft Heat Exchanger Fouling Growth Characteristics / Su, Jingxin / Wang, Zhiping / Wang, Tianjing / Ji, Aizhen / Hou, Liguo / Guo, Xiaomei -- The Effect of Meteorological Factors on the Water-pollution Accident Risk Prediction of River-road Intersection by Using Binary Logistic Regression Model / He, Huaxiang / Deng, Xiaoya / Zhou, Xiangnan / Ma, Zhenzhen / Xie, Xinmin -- Climate Change and Water Resources Management: An Integrated Assessment of Temporal Change in Population and Extreme Precipitation / Sherrer, Gabrielle E. / Dhakal, Nirajan -- Valuation of Health Benefit from the Air Quality Improvement in Beijing-Tianjin-Hebei and Surrounding Areas in 2020 / Chen, Danni / Jia, Yuhuan / Guo, Xiurui / Cheng, Shuiyuan -- Enhancement Cationic Dyes Adsorption of Sewage Sludge-based Bio-chars from Solutions by Thermal-alkaline Pretreatment / Zhai, Shimin / Guo, Xuesong / Liu, Rongzhan / Xiao, Benyi -- Strategies of Functional Foods for Heart Disease Prevention in Human Beings / Zeng, Yawen / Pu, Xiaoying / Yang, Xiaomeng / Yang, Jiazhen / Du, Juan / Yang, Tao / Li, Xia -- Determination of Glyphosate Residue in Genetically Modified Soybean by Protein Precipitator Clean-up and HPLC with OPA Post-column Derivatization / Wang, F.X. / Pan, F. / Zhang, S. / Liu, C.M. / Li, R.Y. / Liang, J.W. / Wan, Y. / Fu, G.M. -- Preliminary Study on Biological Effects of MiR-702-3p in Epithelial-mesenchymal Transition Induced by Nano-SiO2 Particles / Li, Mingyue / Yang, Hong -- Characteristics of Microbial Activities and Soil Nutrients in Soil Profiles of Tibet Alpine Wetlands / Zhang, Jing -- The Expression Change of GFAP and HMGB1 in Primary Cultured Astrocytes Exposed to Chlorpyrifos and Lipopolysaccharide / Wang, Peipei / Zhao, Lingling -- Optimization of Shelf Life of Fresh/Chilled Chicken Using Response Surface Method / Cao, Hong / Zhang, Yuansong / Zai, Jianqing / Lai, Honggang / Jiang, Yunsheng / Xiao, Huan / Han, Yan -- A Method to Evaluate the Energy Consumption, Emission and Cost in China Grain Drying Industry Based on LEAP / Zhao, Na / Zhou, Xiaoguang / Zhou, Huiling / Liu, Xiangdong -- Isolation of Candida Pseudolambica and Characterization of Its Hydrogen Production / Wang, Haiyan / Zhang, Lei / Cheng, Shuiyuan / Feng, Fan / Liu, Wei -- Cancer Trends Predication Based on an Intelligent Method / Yang, Rongjuan / Wu, Chuxue / Ge, Yuhui / Fang, Cheng / Yang, Decai -- Effect of Lead on Reproductive System and Levels of Reproductive Hormones in SD Rats' Gestation Period / Wei, Shen / Juan, Chen -- Retraction |
Record Nr. | UNINA-9910258747903321 |
Zuo Yuegang
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Warsaw ; ; Berlin : , : De Gruyter Open Poland, , [2017] | ||
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Lo trovi qui: Univ. Federico II | ||
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Proceedings from the ICERP 2016 : International Conference on Environmental Research and Public Health / / Yuegang Zuo |
Autore | Zuo Yuegang |
Pubbl/distr/stampa | Warsaw ; ; Berlin : , : De Gruyter Open Poland, , [2017] |
Descrizione fisica | 1 online resource |
Disciplina | 610 |
Soggetto topico | MEDICAL / Public Health |
Soggetto genere / forma | Electronic books. |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Frontmatter -- Contents -- Preface -- Committees -- Keynote Speech I. Environmental Estrogenic Pollution and Public Health / Zuo, Yuegang -- Keynote Speech II. Development of Advanced Oxide Nano-materials for Environmental Catalysis Applications / Boo, Jin-Hyo -- Water Resource Sustainable Utilization Evaluation. Index System in Jiangsu Coast Reclamation Region / Ren, Li / Xiang, Xinyi / Liu, Weilin -- Study on the TD-GC-MS to Detect HD in Exhaust Gas / Gao, Shi / Zuom, Guomin / Chen, Junxiang / Zhou, Jianmei / Liu, Jiwei -- Study on the Regeneration of Waste Lubricating Oil by Porous Nano Adsorption / Wang, Shixian / Lu, Xia -- The Determination and Application of Characteristic Parameter for Spilled Oil Vertical Concentration Distribution Formula / Chen, B. / Han, L.X. / Yuan, L.l. -- Contamination Status and Potential Ecological Risks of Heavy Metal in Sediments from the Qiantang River / Ding, Tao / Guo, Zhenni / Ying, Chengxi -- Influence of Atmosphere Environment on Aircraft Heat Exchanger Fouling Growth Characteristics / Su, Jingxin / Wang, Zhiping / Wang, Tianjing / Ji, Aizhen / Hou, Liguo / Guo, Xiaomei -- The Effect of Meteorological Factors on the Water-pollution Accident Risk Prediction of River-road Intersection by Using Binary Logistic Regression Model / He, Huaxiang / Deng, Xiaoya / Zhou, Xiangnan / Ma, Zhenzhen / Xie, Xinmin -- Climate Change and Water Resources Management: An Integrated Assessment of Temporal Change in Population and Extreme Precipitation / Sherrer, Gabrielle E. / Dhakal, Nirajan -- Valuation of Health Benefit from the Air Quality Improvement in Beijing-Tianjin-Hebei and Surrounding Areas in 2020 / Chen, Danni / Jia, Yuhuan / Guo, Xiurui / Cheng, Shuiyuan -- Enhancement Cationic Dyes Adsorption of Sewage Sludge-based Bio-chars from Solutions by Thermal-alkaline Pretreatment / Zhai, Shimin / Guo, Xuesong / Liu, Rongzhan / Xiao, Benyi -- Strategies of Functional Foods for Heart Disease Prevention in Human Beings / Zeng, Yawen / Pu, Xiaoying / Yang, Xiaomeng / Yang, Jiazhen / Du, Juan / Yang, Tao / Li, Xia -- Determination of Glyphosate Residue in Genetically Modified Soybean by Protein Precipitator Clean-up and HPLC with OPA Post-column Derivatization / Wang, F.X. / Pan, F. / Zhang, S. / Liu, C.M. / Li, R.Y. / Liang, J.W. / Wan, Y. / Fu, G.M. -- Preliminary Study on Biological Effects of MiR-702-3p in Epithelial-mesenchymal Transition Induced by Nano-SiO2 Particles / Li, Mingyue / Yang, Hong -- Characteristics of Microbial Activities and Soil Nutrients in Soil Profiles of Tibet Alpine Wetlands / Zhang, Jing -- The Expression Change of GFAP and HMGB1 in Primary Cultured Astrocytes Exposed to Chlorpyrifos and Lipopolysaccharide / Wang, Peipei / Zhao, Lingling -- Optimization of Shelf Life of Fresh/Chilled Chicken Using Response Surface Method / Cao, Hong / Zhang, Yuansong / Zai, Jianqing / Lai, Honggang / Jiang, Yunsheng / Xiao, Huan / Han, Yan -- A Method to Evaluate the Energy Consumption, Emission and Cost in China Grain Drying Industry Based on LEAP / Zhao, Na / Zhou, Xiaoguang / Zhou, Huiling / Liu, Xiangdong -- Isolation of Candida Pseudolambica and Characterization of Its Hydrogen Production / Wang, Haiyan / Zhang, Lei / Cheng, Shuiyuan / Feng, Fan / Liu, Wei -- Cancer Trends Predication Based on an Intelligent Method / Yang, Rongjuan / Wu, Chuxue / Ge, Yuhui / Fang, Cheng / Yang, Decai -- Effect of Lead on Reproductive System and Levels of Reproductive Hormones in SD Rats' Gestation Period / Wei, Shen / Juan, Chen -- Retraction |
Record Nr. | UNISA-996309059103316 |
Zuo Yuegang
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Warsaw ; ; Berlin : , : De Gruyter Open Poland, , [2017] | ||
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Lo trovi qui: Univ. di Salerno | ||
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The Semantic Web - ISWC 2010 [[electronic resource] ] : 9th International Semantic Web Conference, ISWC 2010, Shanghai, China, November 7-11, 2010, Revised Selected Papers, Part II / / edited by Peter F. Patel-Schneider, Yue Pan, Pascal Hitzler, Peter Mika, Lei Zhang, Jeff Z. Pan, Ian Horrocks, Birte Glimm |
Edizione | [1st ed. 2010.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
Descrizione fisica | 1 online resource (XXII, 374 p.) |
Disciplina | 004.6 |
Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
Soggetto topico |
Computer communication systems
Application software Software engineering Information storage and retrieval Database management Data mining Computer Communication Networks Information Systems Applications (incl. Internet) Software Engineering Information Storage and Retrieval Database Management Data Mining and Knowledge Discovery |
ISBN |
1-283-47746-7
9786613477460 3-642-17749-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996466038303316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
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Lo trovi qui: Univ. di Salerno | ||
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