As the rapid development of automotive telematics,modern vehicles are expected to be connected through heterogeneous radio access technologies and are able to exchange massive information with their surrounding enviro...As the rapid development of automotive telematics,modern vehicles are expected to be connected through heterogeneous radio access technologies and are able to exchange massive information with their surrounding environment. By significantly expanding the network scale and conducting both real-time and long-term information processing, the traditional Vehicular AdHoc Networks(VANETs) are evolving to the Internet of Vehicles(Io V), which promises efficient and intelligent prospect for the future transportation system. On the other hand, vehicles are not only consuming but also generating a huge amount and enormous types of data, which is referred to as Big Data. In this article, we first investigate the relationship between Io V and big data in vehicular environment, mainly on how Io V supports the transmission, storage, computing of the big data, and how Io V benefits from big data in terms of Io V characterization,performance evaluation and big data assisted communication protocol design. We then investigate the application of Io V big data in autonomous vehicles. Finally, the emerging issues of the big data enabled Io V are discussed.展开更多
As an indispensable component of the emerging 6G networks,Space-Air-Ground Inte-grated Networks(SAGINs)are envisioned to provide ubiquitous network connectivity and services by integrating satellite networks,aerial ne...As an indispensable component of the emerging 6G networks,Space-Air-Ground Inte-grated Networks(SAGINs)are envisioned to provide ubiquitous network connectivity and services by integrating satellite networks,aerial networks,and terrestrial networks.In 6G SAGINs,a wide variety of network services with the features of diverse requirements,complex mobility,and multi-dimensional resources will pose great challenges to service provisioning,which urges the develop-ment of service-oriented SAGINs.In this paper,we conduct a comprehensive review of 6G SAGINs from a new perspective of service-oriented network.First,we present the requirements of service-oriented networks,and then propose a service-oriented SAGINs management architec-ture.Two categories of critical technologies are presented and discussed,i.e.,heterogeneous resource orchestration technologies and the cloud-edge synergy technologies,which facilitate the interoperability of different network segments and cooperatively orchestrate heterogeneous resources across different domains,according to the service features and requirements.In addition,the potential future research directions are also presented and discussed.展开更多
To support intelligent Internet of Things(IoT)applications,such as autonomous driving,smart city surveillance,and virtual reality(VR)/augmented reality(AR),cloud services are expected to be pushed to the proximity of ...To support intelligent Internet of Things(IoT)applications,such as autonomous driving,smart city surveillance,and virtual reality(VR)/augmented reality(AR),cloud services are expected to be pushed to the proximity of IoT devices for quality performance.For instance,to facilitate safe autonomous driving,the service delay of most vehicular applications is required to be within milliseconds,and any information delay may result in dangerous on-road conditions.展开更多
Correction to:Radiation Detection Technology and Methods(2024)8:1-1105.https://doi.org/10.1007/s41605-024-00463-y.In this article all authors name was missing in the springer link.It has been corrected.The original ar...Correction to:Radiation Detection Technology and Methods(2024)8:1-1105.https://doi.org/10.1007/s41605-024-00463-y.In this article all authors name was missing in the springer link.It has been corrected.The original article has been corrected.展开更多
The Circular Electron Positron Collider(CEPC)is a large scientific project initiated and hosted by China,fostered through extensive collaboration with international partners.The complex comprises four accelerators:a 3...The Circular Electron Positron Collider(CEPC)is a large scientific project initiated and hosted by China,fostered through extensive collaboration with international partners.The complex comprises four accelerators:a 30 GeV Linac,a 1.1 GeV Damping Ring,a Booster capable of achieving energies up to 180 GeV,and a Collider operating at varying energy modes(Z,W,H,and tt).The Linac and Damping Ring are situated on the surface,while the subterranean Booster and Collider are housed in a 100 km circumference underground tunnel,strategically accommodating future expansion with provisions for a potential Super Proton Proton Collider(SPPC).The CEPC primarily serves as a Higgs factory.In its baseline design with synchrotron radiation(SR)power of 30 MW per beam,it can achieve a luminosity of 5×10^(34)cm^(-2)s^(-1)per interaction point(IP),resulting in an integrated luminosity of 13 ab^(-1)for two IPs over a decade,producing 2.6 million Higgs bosons.Increasing the SR power to 50 MW per beam expands the CEPC's capability to generate 4.3 million Higgs bosons,facilitating precise measurements of Higgs coupling at sub-percent levels,exceeding the precision expected from the HL-LHC by an order of magnitude.This Technical Design Report(TDR)follows the Preliminary Conceptual Design Report(Pre-CDR,2015)and the Conceptual Design Report(CDR,2018),comprehensively detailing the machine's layout,performance metrics,physical design and analysis,technical systems design,R&D and prototyping efforts,and associated civil engineering aspects.Additionally,it includes a cost estimate and a preliminary construction timeline,establishing a framework for forthcoming engineering design phase and site selection procedures.Construction is anticipated to begin around 2027-2028,pending government approval,with an estimated duration of 8 years.The commencement of experiments and data collection could potentially be initiated in the mid-2030s.展开更多
We introduce the Open Sequential Repetitive Action Counting(OSRAC)task,which aims to count all repetitions and locate transition boundaries of sequential actions from large-scale video data,without relying on predefin...We introduce the Open Sequential Repetitive Action Counting(OSRAC)task,which aims to count all repetitions and locate transition boundaries of sequential actions from large-scale video data,without relying on predefined action categories.Unlike the Repetitive Action Counting(RAC)task that focuses on a single-action assumption,OSRAC handles diverse and alternating repetitive action sequences in real-world scenarios,which is fundamentally more challenging.To this end,we propose UniCount,a universal system capable of counting multiple sequential repetitive actions from video data.Specifically,UniCount designs three primary modules:the Universal Repetitive Pattern Learner(URPL)to capture general repetitive patterns in alternating actions,Temporal Action Boundary Discriminator(TABD)to locate the action transition boundaries,and Dual Density Map Estimator(DDME)to achieve action counting and repetition segmentation.We also design a novel actionness loss to improve the detection of action transitions.To support this task,we conduct in-depth data analysis on existing RAC datasets and construct several OSRAC benchmarks(i.e.,MUCFRep,MRepCount,and MInfiniteRep)by developing a pipeline on data processing and mining.We further perform comprehensive experiments to evaluate the effectiveness of UniCount.On MInfiniteRep,UniCount substantially improves the Off-By-One Accuracy(OBOA)from 0.39 to 0.78 and decreases the Mean Absolute Error(MAE)from 0.29 to 0.14 compared to counterparts.UniCount also achieves superior performance in open-set data,showcasing its universality.展开更多
基金supported by the National Natural Science Foundation of China(91638204)Natural Sciences and Engineering Research Council(NSERC)
文摘As the rapid development of automotive telematics,modern vehicles are expected to be connected through heterogeneous radio access technologies and are able to exchange massive information with their surrounding environment. By significantly expanding the network scale and conducting both real-time and long-term information processing, the traditional Vehicular AdHoc Networks(VANETs) are evolving to the Internet of Vehicles(Io V), which promises efficient and intelligent prospect for the future transportation system. On the other hand, vehicles are not only consuming but also generating a huge amount and enormous types of data, which is referred to as Big Data. In this article, we first investigate the relationship between Io V and big data in vehicular environment, mainly on how Io V supports the transmission, storage, computing of the big data, and how Io V benefits from big data in terms of Io V characterization,performance evaluation and big data assisted communication protocol design. We then investigate the application of Io V big data in autonomous vehicles. Finally, the emerging issues of the big data enabled Io V are discussed.
基金supported by the National Key Research and Development Program of China(No.2020YFB1807700).
文摘As an indispensable component of the emerging 6G networks,Space-Air-Ground Inte-grated Networks(SAGINs)are envisioned to provide ubiquitous network connectivity and services by integrating satellite networks,aerial networks,and terrestrial networks.In 6G SAGINs,a wide variety of network services with the features of diverse requirements,complex mobility,and multi-dimensional resources will pose great challenges to service provisioning,which urges the develop-ment of service-oriented SAGINs.In this paper,we conduct a comprehensive review of 6G SAGINs from a new perspective of service-oriented network.First,we present the requirements of service-oriented networks,and then propose a service-oriented SAGINs management architec-ture.Two categories of critical technologies are presented and discussed,i.e.,heterogeneous resource orchestration technologies and the cloud-edge synergy technologies,which facilitate the interoperability of different network segments and cooperatively orchestrate heterogeneous resources across different domains,according to the service features and requirements.In addition,the potential future research directions are also presented and discussed.
文摘To support intelligent Internet of Things(IoT)applications,such as autonomous driving,smart city surveillance,and virtual reality(VR)/augmented reality(AR),cloud services are expected to be pushed to the proximity of IoT devices for quality performance.For instance,to facilitate safe autonomous driving,the service delay of most vehicular applications is required to be within milliseconds,and any information delay may result in dangerous on-road conditions.
文摘Correction to:Radiation Detection Technology and Methods(2024)8:1-1105.https://doi.org/10.1007/s41605-024-00463-y.In this article all authors name was missing in the springer link.It has been corrected.The original article has been corrected.
基金support from diverse funding sources,including the National Key Program for S&T Research and Development of the Ministry of Science and Technology(MOST),Yifang Wang's Science Studio of the Ten Thousand Talents Project,the CAS Key Foreign Cooperation Grant,the National Natural Science Foundation of China(NSFC)Beijing Municipal Science&Technology Commission,the CAS Focused Science Grant,the IHEP Innovation Grant,the CAS Lead Special Training Programthe CAS Center for Excellence in Particle Physics,the CAS International Partnership Program,and the CAS/SAFEA International Partnership Program for Creative Research Teams.
文摘The Circular Electron Positron Collider(CEPC)is a large scientific project initiated and hosted by China,fostered through extensive collaboration with international partners.The complex comprises four accelerators:a 30 GeV Linac,a 1.1 GeV Damping Ring,a Booster capable of achieving energies up to 180 GeV,and a Collider operating at varying energy modes(Z,W,H,and tt).The Linac and Damping Ring are situated on the surface,while the subterranean Booster and Collider are housed in a 100 km circumference underground tunnel,strategically accommodating future expansion with provisions for a potential Super Proton Proton Collider(SPPC).The CEPC primarily serves as a Higgs factory.In its baseline design with synchrotron radiation(SR)power of 30 MW per beam,it can achieve a luminosity of 5×10^(34)cm^(-2)s^(-1)per interaction point(IP),resulting in an integrated luminosity of 13 ab^(-1)for two IPs over a decade,producing 2.6 million Higgs bosons.Increasing the SR power to 50 MW per beam expands the CEPC's capability to generate 4.3 million Higgs bosons,facilitating precise measurements of Higgs coupling at sub-percent levels,exceeding the precision expected from the HL-LHC by an order of magnitude.This Technical Design Report(TDR)follows the Preliminary Conceptual Design Report(Pre-CDR,2015)and the Conceptual Design Report(CDR,2018),comprehensively detailing the machine's layout,performance metrics,physical design and analysis,technical systems design,R&D and prototyping efforts,and associated civil engineering aspects.Additionally,it includes a cost estimate and a preliminary construction timeline,establishing a framework for forthcoming engineering design phase and site selection procedures.Construction is anticipated to begin around 2027-2028,pending government approval,with an estimated duration of 8 years.The commencement of experiments and data collection could potentially be initiated in the mid-2030s.
基金supported by the National Key Research and Development Program of China(No.2022YFF0604504)the National Natural Science Foundation of China(No.62172439)+2 种基金the Major Project of Natural Science Foundation of Hunan Province(No.2021JC0004)the National Natural Science Fund for Excellent Young Scholars of Hunan Province(No.2023JJ20076)the Central South University Innovation-Driven Research Programme(No.2023CXQD061).
文摘We introduce the Open Sequential Repetitive Action Counting(OSRAC)task,which aims to count all repetitions and locate transition boundaries of sequential actions from large-scale video data,without relying on predefined action categories.Unlike the Repetitive Action Counting(RAC)task that focuses on a single-action assumption,OSRAC handles diverse and alternating repetitive action sequences in real-world scenarios,which is fundamentally more challenging.To this end,we propose UniCount,a universal system capable of counting multiple sequential repetitive actions from video data.Specifically,UniCount designs three primary modules:the Universal Repetitive Pattern Learner(URPL)to capture general repetitive patterns in alternating actions,Temporal Action Boundary Discriminator(TABD)to locate the action transition boundaries,and Dual Density Map Estimator(DDME)to achieve action counting and repetition segmentation.We also design a novel actionness loss to improve the detection of action transitions.To support this task,we conduct in-depth data analysis on existing RAC datasets and construct several OSRAC benchmarks(i.e.,MUCFRep,MRepCount,and MInfiniteRep)by developing a pipeline on data processing and mining.We further perform comprehensive experiments to evaluate the effectiveness of UniCount.On MInfiniteRep,UniCount substantially improves the Off-By-One Accuracy(OBOA)from 0.39 to 0.78 and decreases the Mean Absolute Error(MAE)from 0.29 to 0.14 compared to counterparts.UniCount also achieves superior performance in open-set data,showcasing its universality.
