In tunnel construction,groundwater is often dried up,and vegetation around the tunnel is exhausted due to excessive water inflow.Based on the requirement of environmental sustainable development,it is of great practic...In tunnel construction,groundwater is often dried up,and vegetation around the tunnel is exhausted due to excessive water inflow.Based on the requirement of environmental sustainable development,it is of great practical significance to carry out in-depth research on this issue.Taking Jiupansi Tunnel crossing Xichang-Shangri-La Expressway as an example,on the basis of engineering geological investigation,the types of groundwater flow are studied,and the ways of groundwater discharge and recharge are analyzed.Afterwards,the surface runoff,underground catchment and water inflow caused by the construction are calculated.The results show that during the construction period of the tunnel,the maximum water inflow is 6041 m 3/d,and the normal water inflow is 2041 m 3/d;the groundwater level is lowered,and the maximum influence radius of the funnel is 157 m.From the point of view of groundwater and ecological environment impact,it is reasonable and feasible to construct tunnels under the condition of strengthening advance prediction,which will not cause larger groundwater environmental problems and have less impact on nearby residents and upper ecology.展开更多
We study the redistribution of quantum steering and its monogamy in the presence of a four-dimensional Kerr-Newman black hole.The gravitational effect of the Kerr-Newman black hole is shown to generate genuine tripart...We study the redistribution of quantum steering and its monogamy in the presence of a four-dimensional Kerr-Newman black hole.The gravitational effect of the Kerr-Newman black hole is shown to generate genuine tripartite steering between causally disconnected regions,depending on the polar angle,angular momentum,electric charge,and magnetic charge of the black hole.We obtain strong evidence of steering monogamy,that is,the"sudden death"of the A→B steering results in the"sudden birth"of B→B steering.We also obtain the condition of maximal steering asymmetry,that is,η0=√1+tanh^(2)(s),revealing the transition between two-way and one-way steering in Kerr-Newman spacetime.展开更多
Federated learning(FL)allows data owners to train neural networks together without sharing local data,allowing the industrial Internet of Things(IIoT)to share a variety of data.However,traditional FL frameworks suffer...Federated learning(FL)allows data owners to train neural networks together without sharing local data,allowing the industrial Internet of Things(IIoT)to share a variety of data.However,traditional FL frameworks suffer from data heterogeneity and outdated models.To address these issues,this paper proposes a dualblockchain based multi-layer grouping federated learning(BMFL)architecture.BMFL divides the participant groups based on the training tasks,then realizes the model training by combining synchronous and asynchronous FL through the multi-layer grouping structure,and uses the model blockchain to record the characteristic tags of the global model,allowing group-manners to extract the model based on the feature requirements and solving the problem of data heterogeneity.In addition,to protect the privacy of the model gradient parameters and manage the key,the global model is stored in ciphertext,and the chameleon hash algorithm is used to perform the modification and management of the encrypted key on the key blockchain while keeping the block header hash unchanged.Finally,we evaluate the performance of BMFL on different public datasets and verify the practicality of the scheme with real fault datasets.The experimental results show that the proposed BMFL exhibits more stable and accurate convergence behavior than the classic FL algorithm,and the key revocation overhead time is reasonable.展开更多
Proton exchange membranes(PEMs),which are crucial fuel cell parts,play an important role in the field of energy science.However,the further development of conventional PEMs based on synthetic polymers is greatly limit...Proton exchange membranes(PEMs),which are crucial fuel cell parts,play an important role in the field of energy science.However,the further development of conventional PEMs based on synthetic polymers is greatly limited by high energy consumption and difficult degradation.In this work,we reported the fabrication of a novel viscose-based PEM via cationic modification and dyeing treatment with the reactive dyes KE-7B1.High-efficiency proton transmission channels can be constructed due to the for-mation of the complex internal three-dimensional network of the as-prepared viscose-based PEM.Hþconductivity(sHþ)and water uptake are intensively investigated by changing the cationic agents and KE-7B1,and the maximum sHþreaches 44.19 mS/cm at 80℃and 98%relative humidity(RH).Furthermore,the prepared membrane shows the lowest calculated activation energy value(12.25 kJ/mol),indicating that both Grotthuss and Vehicle mechanisms play an important role in ionic transport.The membrane chemical structure and micromorphology are analyzed and the proton transmission modes are explored in detail,supplemented with research on the hydrophilic/hydrophobic characteristics and crystallinity of the membranes.The application stability of the membranes is also evaluated analyzing the thermal,mechanical,and oxygen resistance properties,and the results show that all the prepared membranes can maintain good thermal stability within 200℃.The maximum tensile strength reaches 42.12 MPa,and the mass losses of the membranes soaked in 30%(in mass,same below)H_(2)O_(2)solution for 120 h can be restricted to 10%.Therefore,as a novel PEM,the obtained dye viscose-based membranes show great potential for application in fuel cells.展开更多
The first research and experimental results obtained in China of high-accuracy radiometric calibration based on cryogenic radiometer are reported. Uncertainties of cryogenic radiometer and trap detectors at 7 waveleng...The first research and experimental results obtained in China of high-accuracy radiometric calibration based on cryogenic radiometer are reported. Uncertainties of cryogenic radiometer and trap detectors at 7 wavelengths in the visible spectrum (488-786 nm) were less than 0.023% and 0.035% respectively, which proved the reasonability and possibility of establishing and transferring high-accuracy radiometric standards based on detectors.展开更多
The real-time accurate description of all spatial features of railway and their spatiotemporal relationships is a crucial factor in realizing comprehensive management and related decision-making within the entire life...The real-time accurate description of all spatial features of railway and their spatiotemporal relationships is a crucial factor in realizing comprehensive management and related decision-making within the entire life cycle of railways.Nevertheless,available spatiotemporal data models mainly use static historical sequence data,which are insufficient to support multi-source heterogeneous real-time sensed data;they lack a systematic depiction of the interactive relationships among multiple feature entities,and are limited to low-level descriptive analysis.Therefore,this study proposes a data-model-knowledge integrated representation data model for a digital twin railway,which explicitly describes the spatiotemporal,and interaction relationships among railway features through a conceptual knowledge graph.This study first analyzes the characteristics of railway features from above ground to underground,and then constructs a conceptual model to clearly describe the complex relationships among railway features.Secondly,a logical model is developed to illustrate the basic data structure.Thirdly,an ontology model is constructed as a basic framework for further deepening the domain knowledge graph.Finally,considering the prevention of landslides as an example,it demonstrates the abundant spatiotemporal relationships among railway related features.The results of this study bring more clear understanding of the complex interactive relationships of railway entities.展开更多
文摘In tunnel construction,groundwater is often dried up,and vegetation around the tunnel is exhausted due to excessive water inflow.Based on the requirement of environmental sustainable development,it is of great practical significance to carry out in-depth research on this issue.Taking Jiupansi Tunnel crossing Xichang-Shangri-La Expressway as an example,on the basis of engineering geological investigation,the types of groundwater flow are studied,and the ways of groundwater discharge and recharge are analyzed.Afterwards,the surface runoff,underground catchment and water inflow caused by the construction are calculated.The results show that during the construction period of the tunnel,the maximum water inflow is 6041 m 3/d,and the normal water inflow is 2041 m 3/d;the groundwater level is lowered,and the maximum influence radius of the funnel is 157 m.From the point of view of groundwater and ecological environment impact,it is reasonable and feasible to construct tunnels under the condition of strengthening advance prediction,which will not cause larger groundwater environmental problems and have less impact on nearby residents and upper ecology.
基金Supported by the National Natural Science Foundation of China (12205133,LJKQZ20222315,JYTMS20231051)the Special Fund for Basic Scientific Research of Provincial Universities in Liaoning (LS2024Q002)。
文摘We study the redistribution of quantum steering and its monogamy in the presence of a four-dimensional Kerr-Newman black hole.The gravitational effect of the Kerr-Newman black hole is shown to generate genuine tripartite steering between causally disconnected regions,depending on the polar angle,angular momentum,electric charge,and magnetic charge of the black hole.We obtain strong evidence of steering monogamy,that is,the"sudden death"of the A→B steering results in the"sudden birth"of B→B steering.We also obtain the condition of maximal steering asymmetry,that is,η0=√1+tanh^(2)(s),revealing the transition between two-way and one-way steering in Kerr-Newman spacetime.
基金supported in part by Natural Science Basic Research Program of Shaanxi under Grant No.2022JM-346.
文摘Federated learning(FL)allows data owners to train neural networks together without sharing local data,allowing the industrial Internet of Things(IIoT)to share a variety of data.However,traditional FL frameworks suffer from data heterogeneity and outdated models.To address these issues,this paper proposes a dualblockchain based multi-layer grouping federated learning(BMFL)architecture.BMFL divides the participant groups based on the training tasks,then realizes the model training by combining synchronous and asynchronous FL through the multi-layer grouping structure,and uses the model blockchain to record the characteristic tags of the global model,allowing group-manners to extract the model based on the feature requirements and solving the problem of data heterogeneity.In addition,to protect the privacy of the model gradient parameters and manage the key,the global model is stored in ciphertext,and the chameleon hash algorithm is used to perform the modification and management of the encrypted key on the key blockchain while keeping the block header hash unchanged.Finally,we evaluate the performance of BMFL on different public datasets and verify the practicality of the scheme with real fault datasets.The experimental results show that the proposed BMFL exhibits more stable and accurate convergence behavior than the classic FL algorithm,and the key revocation overhead time is reasonable.
基金supported by Natural Science Foun-dation of Jiangsu,China(Project Number:BK20201061)The Jiangsu Agricultural Science and Technology Innovation Fund(Project Number:CX(21)3086)+1 种基金Shanghai Engineering Research Center of Marine Renewable Energy(Grant No.19DZ2254800)The authors would like to thank to Guchuan Machinery Co.,LTD for offering some instruments.
文摘Proton exchange membranes(PEMs),which are crucial fuel cell parts,play an important role in the field of energy science.However,the further development of conventional PEMs based on synthetic polymers is greatly limited by high energy consumption and difficult degradation.In this work,we reported the fabrication of a novel viscose-based PEM via cationic modification and dyeing treatment with the reactive dyes KE-7B1.High-efficiency proton transmission channels can be constructed due to the for-mation of the complex internal three-dimensional network of the as-prepared viscose-based PEM.Hþconductivity(sHþ)and water uptake are intensively investigated by changing the cationic agents and KE-7B1,and the maximum sHþreaches 44.19 mS/cm at 80℃and 98%relative humidity(RH).Furthermore,the prepared membrane shows the lowest calculated activation energy value(12.25 kJ/mol),indicating that both Grotthuss and Vehicle mechanisms play an important role in ionic transport.The membrane chemical structure and micromorphology are analyzed and the proton transmission modes are explored in detail,supplemented with research on the hydrophilic/hydrophobic characteristics and crystallinity of the membranes.The application stability of the membranes is also evaluated analyzing the thermal,mechanical,and oxygen resistance properties,and the results show that all the prepared membranes can maintain good thermal stability within 200℃.The maximum tensile strength reaches 42.12 MPa,and the mass losses of the membranes soaked in 30%(in mass,same below)H_(2)O_(2)solution for 120 h can be restricted to 10%.Therefore,as a novel PEM,the obtained dye viscose-based membranes show great potential for application in fuel cells.
文摘The first research and experimental results obtained in China of high-accuracy radiometric calibration based on cryogenic radiometer are reported. Uncertainties of cryogenic radiometer and trap detectors at 7 wavelengths in the visible spectrum (488-786 nm) were less than 0.023% and 0.035% respectively, which proved the reasonability and possibility of establishing and transferring high-accuracy radiometric standards based on detectors.
基金supported by the Project of the National Natural Science Foundation of China under Grant Number 41941019supported by the Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation,Ministry of Natural Resources under Grant Number KF-2021-06-033.
文摘The real-time accurate description of all spatial features of railway and their spatiotemporal relationships is a crucial factor in realizing comprehensive management and related decision-making within the entire life cycle of railways.Nevertheless,available spatiotemporal data models mainly use static historical sequence data,which are insufficient to support multi-source heterogeneous real-time sensed data;they lack a systematic depiction of the interactive relationships among multiple feature entities,and are limited to low-level descriptive analysis.Therefore,this study proposes a data-model-knowledge integrated representation data model for a digital twin railway,which explicitly describes the spatiotemporal,and interaction relationships among railway features through a conceptual knowledge graph.This study first analyzes the characteristics of railway features from above ground to underground,and then constructs a conceptual model to clearly describe the complex relationships among railway features.Secondly,a logical model is developed to illustrate the basic data structure.Thirdly,an ontology model is constructed as a basic framework for further deepening the domain knowledge graph.Finally,considering the prevention of landslides as an example,it demonstrates the abundant spatiotemporal relationships among railway related features.The results of this study bring more clear understanding of the complex interactive relationships of railway entities.