Industrial robots are becoming increasingly vulnerable to cyber incidents and attacks,particularly with the dawn of the Industrial Internet-of-Things(IIoT).To gain a comprehensive understanding of these cyber risks,vu...Industrial robots are becoming increasingly vulnerable to cyber incidents and attacks,particularly with the dawn of the Industrial Internet-of-Things(IIoT).To gain a comprehensive understanding of these cyber risks,vulnerabilities of industrial robots were analyzed empirically,using more than three million communication packets collected with testbeds of two ABB IRB120 robots and five other robots from various original equipment manufacturers(OEMs).This analysis,guided by the confidentiality-integrity-availability(CIA)triad,uncovers robot vulnerabilities in three dimensions:confidentiality,integrity,and availability.These vulnerabilities were used to design Covering Robot Manipulation via Data Deception(CORMAND2),an automated cyber-physical attack against industrial robots.CORMAND2 manipulates robot operation while deceiving the Supervisory Control and Data Acquisition(SCADA)system that the robot is operating normally by modifying the robot’s movement data and data deception.CORMAND2 and its capability of degrading the manufacturing was validated experimentally using the aforementioned seven robots from six different OEMs.CORMAND2 unveils the limitations of existing anomaly detection systems,more specifically the assumption of the authenticity of SCADA-received movement data,to which we propose mitigations for.展开更多
Kernel-based methods work by embedding the data into a feature space and then searching linear hypothesis among the embedding data points. The performance is mostly affected by which kernel is used. A promising way is...Kernel-based methods work by embedding the data into a feature space and then searching linear hypothesis among the embedding data points. The performance is mostly affected by which kernel is used. A promising way is to learn the kernel from the data automatically. A general regularized risk functional (RRF) criterion for kernel matrix learning is proposed. Compared with the RRF criterion, general RRF criterion takes into account the geometric distributions of the embedding data points. It is proven that the distance between different geometric distdbutions can be estimated by their centroid distance in the reproducing kernel Hilbert space. Using this criterion for kernel matrix learning leads to a convex quadratically constrained quadratic programming (QCQP) problem. For several commonly used loss functions, their mathematical formulations are given. Experiment results on a collection of benchmark data sets demonstrate the effectiveness of the proposed method.展开更多
Ⅰ.Introduction CYBER-PHYSICAL system is a system of collaborating computational elements to control physical entities.The coordination and the tight link between computational,virtual and physical resources in cyber-...Ⅰ.Introduction CYBER-PHYSICAL system is a system of collaborating computational elements to control physical entities.The coordination and the tight link between computational,virtual and physical resources in cyber-physical system will have a pervasive effect on our everyday life.The development of cyber-physical system will create new opportunities for the introduction of services that will enhance the quality of life展开更多
The classification of the stability of surrounding rock is an uncertain system with multiple indices.The Multidimensional Cloud Model provides an advanced solution through the use of an improved model of One-dimension...The classification of the stability of surrounding rock is an uncertain system with multiple indices.The Multidimensional Cloud Model provides an advanced solution through the use of an improved model of One-dimensional Cloud Model.Setting each index as a one-dimensional attribute,the Multi-dimensional Cloud Model can set the digital characteristics of each index according to the cloud theory.The Multi-dimensional cloud generator can calculate the certainty of each grade,and then determine the stability levels of the surrounding rock according to the principle of maximum certainty.Using this model to 5 coal mine roadway surrounding rock examples and comparing the results with those of One-dimensional and Two-dimensional Cloud Models,we find that the Multi-dimensional Cloud Model can provide a more accurate solution.Since the classification results of the Multidimensional Cloud Model are difficult to be presented intuitively and visually,we reduce the Multi-dimensional Cloud Model to One-dimensional and Two-dimensional Cloud Models in order to visualize the results achieved by the Multi-dimensional Cloud Model.This approach provides a more accurate and intuitive method for the classification of the surrounding rock stability,and it can also be applied to other types of classification problems.展开更多
Up to now, no a real full-cover liquid metal (LM) free surface flow have been successfully used in magnetic fusion devices as MHD instability and unavoidable rivulet flow. Recently, after we carried out a guidable fre...Up to now, no a real full-cover liquid metal (LM) free surface flow have been successfully used in magnetic fusion devices as MHD instability and unavoidable rivulet flow. Recently, after we carried out a guidable free curve-surface flow on theoretically and experimentally, seeking for other way to get a full-cover free surface flow is also in implementing. The superficial layer MHD effect in free surface flow is experimentally observed. After compared and analyzed the characteristic parameters of the free surface flow, the conditions of full-cover free surface flow are found. Meanwhile, the new two parameters of surface cover ratio and rivulet flow index are introduced to characterize the flowing characteristic of the full-cover free surface flow under magnetic field. According to the analysis rule, for different liquid metal, there are the different unique conditions to meet full-cover free surface flow under magnetic field. This may be a way to solve free surface flow major MHD key issue for LM PFCs.展开更多
This paper gives a definition of the Industrial Internet and expounds on the academic connotation of the future Industrial Internet.From this foundation,we outline the development and current status of the Industrial ...This paper gives a definition of the Industrial Internet and expounds on the academic connotation of the future Industrial Internet.From this foundation,we outline the development and current status of the Industrial Internet in China and globally.Moreover,we detail the avant-garde paradigms encompassed within the National Natural Science Foundation of China(NSFC)’s“Future Industrial Internet Fundamental Theory and Key Technologies”research plan and its corresponding management strategies.This research initiative endeavors to enhance interdisciplinary collaborations,aiming for a synergistic alignment of industry,academia,research,and practical implementations.The primary focus of the research plan is on the pivotal scientific challenges inherent to the future industrial internet.It is poised to traverse the“first mile”,encompassing foundational research and pioneering innovations specific to the industrial internet,and seamlessly bridges to the“last mile”,ensuring the effective commercialization of scientific and technological breakthroughs into tangible industrial market applications.The anticipated contributions from this initiative are projected to solidify both the theoretical and practical scaffolding essential for the cultivation of a globally competitive industrial internet infrastructure in China.展开更多
In the midst of the fourth industrial revolution,the convergence of the digital,physical,and biological realms is propelling industrial innovation to new heights.At the heart of this transformative era lies the Indust...In the midst of the fourth industrial revolution,the convergence of the digital,physical,and biological realms is propelling industrial innovation to new heights.At the heart of this transformative era lies the Industrial Internet,a pivotal technology reshaping our industries.This powerful force establishes an all-encompassing network[1-2].展开更多
PD-L1+tumor-derived extracellular vesicles(TEVs)cause systemic immunosuppression and possibly resistance to anti-PD-L1 antibody(αPD-L1)blockade.However,whether and how PD-L1+TEVs mediateαPD-L1 therapy resistance is ...PD-L1+tumor-derived extracellular vesicles(TEVs)cause systemic immunosuppression and possibly resistance to anti-PD-L1 antibody(αPD-L1)blockade.However,whether and how PD-L1+TEVs mediateαPD-L1 therapy resistance is unknown.Here,we show that PD-L1+TEVs substantially decoyαPD-L1 and that TEV-boundαPD-L1 is more rapidly cleared by macrophages,causing insufficient blockade of tumor PD-L1 and subsequentαPD-L1 therapy resistance.Inhibition of endogenous production of TEVs by Rab27a or Coro1a knockout reversesαPD-L1 therapy resistance.Either an increasedαPD-L1 dose or macrophage depletion mediated by the clinical drug pexidartinib abolishesαPD-L1 therapy resistance.Moreover,in the treatment cycle with the same total treatment dose ofαPD-L1,high-dose and low-frequency treatment had better antitumor effects than low-dose and highfrequency treatment,induced stronger antitumor immune memory,and eliminatedαPD-L1 therapy resistance.Notably,in humanized immune system mice with human xenograft tumors,both increasedαPD-L1 dose and high-dose and low-frequency treatment enhanced the antitumor effects ofαPD-L1.Furthermore,increased doses ofαPD-L1 andαPD-1 had comparable antitumor effects,butαPD-L1 amplified fewer PD-1+Treg cells,which are responsible for tumor hyperprogression.Altogether,our results reveal a TEV-mediated mechanism ofαPD-L1-specific therapy resistance,thus providing promising strategies to improveαPD-L1 efficacy.展开更多
Fusion energy is a promising source of clean energy,which could solve energy shortages and environmental pollution.Research into controlled fusion energy has been ongoing for over half a century.China has created a cl...Fusion energy is a promising source of clean energy,which could solve energy shortages and environmental pollution.Research into controlled fusion energy has been ongoing for over half a century.China has created a clear roadmap for magnetic confinement fusion development,where superconducting tokamaks will be used in commercial fusion reactors.The Experimental Advanced Superconducting Tokamak(EAST)is the world’s first fully superconducting tokamak with upper and lower divertors,which aims at longpulse,steady-state,H-mode operation,and 101-s H-mode discharge had been achieved.In 2007,China joined the International Thermonuclear Experimental Reactor(ITER)and became one of its seven members.Thirteen procurement packages are undertaken by China,covering superconducting magnets,power supplies,plasma-facing components(PFCs),diagnostics,etc.To bridge the gap between the ITER and fusion demonstration power plants(DEMOs),China is planning to build the Chinese Fusion Engineering Testing Reactor(CFETR)to demonstrate related technologies and physics models.The engineering design of the CFETR was completed in 2020,and Comprehensive Research Facilities for Fusion Technology(CRAFT)are being constructed to explore the key technologies used in the CFETR.展开更多
Recently, cloud computing has become a vital part that supports people’s normal lives and production.However, accompanied by the increasing complexity of the cloud network, failures constantly keep coming up and caus...Recently, cloud computing has become a vital part that supports people’s normal lives and production.However, accompanied by the increasing complexity of the cloud network, failures constantly keep coming up and cause huge economic losses. Thus, to guarantee the cloud network performance and prevent execrable effects caused by failures, cloud network diagnostics has become of great interest for cloud service providers. Due to the characteristics of cloud network(e.g., virtualization and multi-tenancy), transplanting traditional network diagnostic tools to the cloud network face several difficulties. Additionally, many existing tools cannot solve problems in the cloud network. In this paper, we summarize and classify the state-of-the-art technologies of cloud diagnostics which can be used in the production cloud network according to their features. Moreover, we analyze the differences between cloud network diagnostics and traditional network diagnostics based on the characteristics of the cloud network. Considering the operation requirements of the cloud network, we propose the points that should be cared about when designing a cloud network diagnostic tool. Also, we discuss the challenges that cloud network diagnostics will face in future development.展开更多
Flashover is prone to occur in composite insulation structures such as vacuum-solid and gas-solid,which are universally employed in high-voltage power equipment.In this study,a high flashover strength and superhydroph...Flashover is prone to occur in composite insulation structures such as vacuum-solid and gas-solid,which are universally employed in high-voltage power equipment.In this study,a high flashover strength and superhydrophobic coating were proposed by constructing porous surface morphology.Octadecyl trichlorosilane(OTS)particles were prepared by hydrolysis condensation reaction,and thereafter sprayed onto the substrate surface to form a porous and rough surface structure with hundreds of nanometres of dispersed pores and pits.The coating endowed epoxy resin with maximum 44%flashover voltage increase and the superhydrophobic surface with water contact angle of 158.4°.Since the pore size in OTS coating is close to electron mean free path in atmospheric condition,the collisional ionisation can be effectively hindered,which suppresses the micro-discharge around the triple junction and improves the flashover strength.The present approach provides a new insight for simultaneously improving flashover strength and superhydrophobic properties of dielectric insulation.展开更多
基金Science and Technology Innovation 2030 Program(2018AAA0101605).
文摘Industrial robots are becoming increasingly vulnerable to cyber incidents and attacks,particularly with the dawn of the Industrial Internet-of-Things(IIoT).To gain a comprehensive understanding of these cyber risks,vulnerabilities of industrial robots were analyzed empirically,using more than three million communication packets collected with testbeds of two ABB IRB120 robots and five other robots from various original equipment manufacturers(OEMs).This analysis,guided by the confidentiality-integrity-availability(CIA)triad,uncovers robot vulnerabilities in three dimensions:confidentiality,integrity,and availability.These vulnerabilities were used to design Covering Robot Manipulation via Data Deception(CORMAND2),an automated cyber-physical attack against industrial robots.CORMAND2 manipulates robot operation while deceiving the Supervisory Control and Data Acquisition(SCADA)system that the robot is operating normally by modifying the robot’s movement data and data deception.CORMAND2 and its capability of degrading the manufacturing was validated experimentally using the aforementioned seven robots from six different OEMs.CORMAND2 unveils the limitations of existing anomaly detection systems,more specifically the assumption of the authenticity of SCADA-received movement data,to which we propose mitigations for.
基金supported by the National Natural Science Fundation of China (60736021)the Joint Funds of NSFC-Guangdong Province(U0735003)
文摘Kernel-based methods work by embedding the data into a feature space and then searching linear hypothesis among the embedding data points. The performance is mostly affected by which kernel is used. A promising way is to learn the kernel from the data automatically. A general regularized risk functional (RRF) criterion for kernel matrix learning is proposed. Compared with the RRF criterion, general RRF criterion takes into account the geometric distributions of the embedding data points. It is proven that the distance between different geometric distdbutions can be estimated by their centroid distance in the reproducing kernel Hilbert space. Using this criterion for kernel matrix learning leads to a convex quadratically constrained quadratic programming (QCQP) problem. For several commonly used loss functions, their mathematical formulations are given. Experiment results on a collection of benchmark data sets demonstrate the effectiveness of the proposed method.
文摘Ⅰ.Introduction CYBER-PHYSICAL system is a system of collaborating computational elements to control physical entities.The coordination and the tight link between computational,virtual and physical resources in cyber-physical system will have a pervasive effect on our everyday life.The development of cyber-physical system will create new opportunities for the introduction of services that will enhance the quality of life
基金supported by the National Natural Science Foundation of China(No.52074296).
文摘The classification of the stability of surrounding rock is an uncertain system with multiple indices.The Multidimensional Cloud Model provides an advanced solution through the use of an improved model of One-dimensional Cloud Model.Setting each index as a one-dimensional attribute,the Multi-dimensional Cloud Model can set the digital characteristics of each index according to the cloud theory.The Multi-dimensional cloud generator can calculate the certainty of each grade,and then determine the stability levels of the surrounding rock according to the principle of maximum certainty.Using this model to 5 coal mine roadway surrounding rock examples and comparing the results with those of One-dimensional and Two-dimensional Cloud Models,we find that the Multi-dimensional Cloud Model can provide a more accurate solution.Since the classification results of the Multidimensional Cloud Model are difficult to be presented intuitively and visually,we reduce the Multi-dimensional Cloud Model to One-dimensional and Two-dimensional Cloud Models in order to visualize the results achieved by the Multi-dimensional Cloud Model.This approach provides a more accurate and intuitive method for the classification of the surrounding rock stability,and it can also be applied to other types of classification problems.
文摘Up to now, no a real full-cover liquid metal (LM) free surface flow have been successfully used in magnetic fusion devices as MHD instability and unavoidable rivulet flow. Recently, after we carried out a guidable free curve-surface flow on theoretically and experimentally, seeking for other way to get a full-cover free surface flow is also in implementing. The superficial layer MHD effect in free surface flow is experimentally observed. After compared and analyzed the characteristic parameters of the free surface flow, the conditions of full-cover free surface flow are found. Meanwhile, the new two parameters of surface cover ratio and rivulet flow index are introduced to characterize the flowing characteristic of the full-cover free surface flow under magnetic field. According to the analysis rule, for different liquid metal, there are the different unique conditions to meet full-cover free surface flow under magnetic field. This may be a way to solve free surface flow major MHD key issue for LM PFCs.
文摘This paper gives a definition of the Industrial Internet and expounds on the academic connotation of the future Industrial Internet.From this foundation,we outline the development and current status of the Industrial Internet in China and globally.Moreover,we detail the avant-garde paradigms encompassed within the National Natural Science Foundation of China(NSFC)’s“Future Industrial Internet Fundamental Theory and Key Technologies”research plan and its corresponding management strategies.This research initiative endeavors to enhance interdisciplinary collaborations,aiming for a synergistic alignment of industry,academia,research,and practical implementations.The primary focus of the research plan is on the pivotal scientific challenges inherent to the future industrial internet.It is poised to traverse the“first mile”,encompassing foundational research and pioneering innovations specific to the industrial internet,and seamlessly bridges to the“last mile”,ensuring the effective commercialization of scientific and technological breakthroughs into tangible industrial market applications.The anticipated contributions from this initiative are projected to solidify both the theoretical and practical scaffolding essential for the cultivation of a globally competitive industrial internet infrastructure in China.
文摘In the midst of the fourth industrial revolution,the convergence of the digital,physical,and biological realms is propelling industrial innovation to new heights.At the heart of this transformative era lies the Industrial Internet,a pivotal technology reshaping our industries.This powerful force establishes an all-encompassing network[1-2].
基金This work was supported by the National Natural Science Foundation of China(82130053,31970845,31870876,81971871 and 81901571).
文摘PD-L1+tumor-derived extracellular vesicles(TEVs)cause systemic immunosuppression and possibly resistance to anti-PD-L1 antibody(αPD-L1)blockade.However,whether and how PD-L1+TEVs mediateαPD-L1 therapy resistance is unknown.Here,we show that PD-L1+TEVs substantially decoyαPD-L1 and that TEV-boundαPD-L1 is more rapidly cleared by macrophages,causing insufficient blockade of tumor PD-L1 and subsequentαPD-L1 therapy resistance.Inhibition of endogenous production of TEVs by Rab27a or Coro1a knockout reversesαPD-L1 therapy resistance.Either an increasedαPD-L1 dose or macrophage depletion mediated by the clinical drug pexidartinib abolishesαPD-L1 therapy resistance.Moreover,in the treatment cycle with the same total treatment dose ofαPD-L1,high-dose and low-frequency treatment had better antitumor effects than low-dose and highfrequency treatment,induced stronger antitumor immune memory,and eliminatedαPD-L1 therapy resistance.Notably,in humanized immune system mice with human xenograft tumors,both increasedαPD-L1 dose and high-dose and low-frequency treatment enhanced the antitumor effects ofαPD-L1.Furthermore,increased doses ofαPD-L1 andαPD-1 had comparable antitumor effects,butαPD-L1 amplified fewer PD-1+Treg cells,which are responsible for tumor hyperprogression.Altogether,our results reveal a TEV-mediated mechanism ofαPD-L1-specific therapy resistance,thus providing promising strategies to improveαPD-L1 efficacy.
基金supported by the National Key R&D Programof China under contract 2017YFE0300500the Comprehensive Research Facility for Fusion Technology Program of China under contract 2018-000052-73-01-001228.
文摘Fusion energy is a promising source of clean energy,which could solve energy shortages and environmental pollution.Research into controlled fusion energy has been ongoing for over half a century.China has created a clear roadmap for magnetic confinement fusion development,where superconducting tokamaks will be used in commercial fusion reactors.The Experimental Advanced Superconducting Tokamak(EAST)is the world’s first fully superconducting tokamak with upper and lower divertors,which aims at longpulse,steady-state,H-mode operation,and 101-s H-mode discharge had been achieved.In 2007,China joined the International Thermonuclear Experimental Reactor(ITER)and became one of its seven members.Thirteen procurement packages are undertaken by China,covering superconducting magnets,power supplies,plasma-facing components(PFCs),diagnostics,etc.To bridge the gap between the ITER and fusion demonstration power plants(DEMOs),China is planning to build the Chinese Fusion Engineering Testing Reactor(CFETR)to demonstrate related technologies and physics models.The engineering design of the CFETR was completed in 2020,and Comprehensive Research Facilities for Fusion Technology(CRAFT)are being constructed to explore the key technologies used in the CFETR.
基金Project supported by the National Natural Science Foundation of China (Nos. 61761136012 and 61833015)the Alibaba Innovative Research Program,Chinathe Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies,China。
文摘Recently, cloud computing has become a vital part that supports people’s normal lives and production.However, accompanied by the increasing complexity of the cloud network, failures constantly keep coming up and cause huge economic losses. Thus, to guarantee the cloud network performance and prevent execrable effects caused by failures, cloud network diagnostics has become of great interest for cloud service providers. Due to the characteristics of cloud network(e.g., virtualization and multi-tenancy), transplanting traditional network diagnostic tools to the cloud network face several difficulties. Additionally, many existing tools cannot solve problems in the cloud network. In this paper, we summarize and classify the state-of-the-art technologies of cloud diagnostics which can be used in the production cloud network according to their features. Moreover, we analyze the differences between cloud network diagnostics and traditional network diagnostics based on the characteristics of the cloud network. Considering the operation requirements of the cloud network, we propose the points that should be cared about when designing a cloud network diagnostic tool. Also, we discuss the challenges that cloud network diagnostics will face in future development.
基金National Natural Science Foundation of China,Grant/Award Number:52007198Natural Science Foundation of Shandong Province of China,Grant/Award Number:ZR202102240265。
文摘Flashover is prone to occur in composite insulation structures such as vacuum-solid and gas-solid,which are universally employed in high-voltage power equipment.In this study,a high flashover strength and superhydrophobic coating were proposed by constructing porous surface morphology.Octadecyl trichlorosilane(OTS)particles were prepared by hydrolysis condensation reaction,and thereafter sprayed onto the substrate surface to form a porous and rough surface structure with hundreds of nanometres of dispersed pores and pits.The coating endowed epoxy resin with maximum 44%flashover voltage increase and the superhydrophobic surface with water contact angle of 158.4°.Since the pore size in OTS coating is close to electron mean free path in atmospheric condition,the collisional ionisation can be effectively hindered,which suppresses the micro-discharge around the triple junction and improves the flashover strength.The present approach provides a new insight for simultaneously improving flashover strength and superhydrophobic properties of dielectric insulation.