In this paper,we design a device based on capture technology to solve the problems caused by hacking drones.We introduce the design,simulation,control scheme,and implementation of a capture device.A protective cover i...In this paper,we design a device based on capture technology to solve the problems caused by hacking drones.We introduce the design,simulation,control scheme,and implementation of a capture device.A protective cover is designed to prevent the capture net from scattering.A high-power driver is selected to drive the motor motion simultaneously,which ensures the simultaneity of the surrounding six launch mechanisms.Finally,we conduct experiments to confirm the design feasibility.After capturing the target,we conduct a pull-off force test to confirm the stability of the capture net.Compared to the existing capture method,the proposed device is adjustable,rapid,reliable,environmentally friendly,and can capture the target without damage.展开更多
High costs,technical difficulties,and policy uncertainties are the main challenges in carbon capture technology investments.Therefore,innovative financial products are required to develop projects that overcome these ...High costs,technical difficulties,and policy uncertainties are the main challenges in carbon capture technology investments.Therefore,innovative financial products are required to develop projects that overcome these difficulties.Some issues must be considered when developing innovative financial products.An important problem in this process is that these features cannot possibly exist together in the new financial product,because each of these features incurs some costs.Therefore,identifying the most important features of innovative financial products is necessary.Accordingly,this study develops a new and innovative financial product to increase the effectiveness of investments in carbon capture technologies.For this purpose,a novel artificial intelligence(AI)-based fuzzy decision-making model is constructed.First,the weights of the experts were calculated by considering AI methodology.Second,the factors affecting investment in carbon capture technologies were weighted using a spherical fuzzy DEMATEL.Finally,the financial features required for investments were ranked using the spherical fuzzy ARAS method.This study’s main contribution is its creation of a novel fuzzy decision-making model by integrating AI methodology with fuzzy decision-making theory.In this process,the weights of the experts are calculated using an AI approach.It is concluded that cost-effectiveness must be prioritized in the development of new financial products.Technological competence is another aspect that should be considered in this process.However,innovative financial products should include risk management and flexible financing.展开更多
With global carbon emissions continuing to rise,carbon dioxide(CO_(2))capture and resource utilization have become central challenges in achieving the“dual carbon”goals(carbon peak and carbon neutrality).Traditional...With global carbon emissions continuing to rise,carbon dioxide(CO_(2))capture and resource utilization have become central challenges in achieving the“dual carbon”goals(carbon peak and carbon neutrality).Traditional carbon capture and storage(CCS)technology can only temporarily sequester CO_(2),whereas emerging green catalytic technologies(photo/electro/thermal catalysis)enable the conversion of CO_(2) into high-value chemicals(e.g.,fuels,pharmaceutical intermediates),advancing the closure of the artificial carbon cycle[1,2].展开更多
This paper presents a modified half-sine-squared load model of the jumping impulses for a single person. The model is based on a database of 22,921 experimentally measured single jumping load cycles from 100 test subj...This paper presents a modified half-sine-squared load model of the jumping impulses for a single person. The model is based on a database of 22,921 experimentally measured single jumping load cycles from 100 test subjects. Threedimensional motion capture technology in conjunction with force plates was employed in the experiment to record jumping loads. The variation range and probability distribution of the controlling parameters for the load model such as the impact factor, jumping frequency and contact ratio, are discussed using the experimental data. Correlation relationships between the three parameters are investigated. The contact ratio and jumping frequency are identified as independent model parameters, and an empirical frequency-dependent function is derived for the impact factor. The feasibility of the proposed load model is established by comparing the simulated load curves with measured ones, and by comparing the acceleration responses of a single-degree-of-freedom system to the simulated and measured jumping loads. The results show that a realistic individual jumping load can be generated by the proposed method. This can then be used to assess the dynamic response of assembly structures.展开更多
Carbon capture,utilization and storage(CCUS)technologies play an essential role in achieving Net Zero Emissions targets.Considering the lack of timely reviews on the recent advancements in promising CCUS technologies,...Carbon capture,utilization and storage(CCUS)technologies play an essential role in achieving Net Zero Emissions targets.Considering the lack of timely reviews on the recent advancements in promising CCUS technologies,it is crucial to provide a prompt review of the CCUS advances to understand the current research gaps pertained to its industrial application.To that end,this review first summarized the developmental history of CCUS technologies and the current large-scale demonstrations.Then,based on a visually bibliometric analysis,the carbon capture remains a hotspot in the CCUS development.Noting that the materials applied in the carbon capture process determines its performance.As a result,the state-of-the-art carbon capture materials and emerging capture technologies were comprehensively summarized and discussed.Gaps between state-of-art carbon capture process and its ideal counterpart are analyzed,and insights into the research needs such as material design,process optimization,environmental impact,and technical and economic assessments are provided.展开更多
基金This work was supported by the National Natural Science Founda-tion of China(Grant No.51935005).
文摘In this paper,we design a device based on capture technology to solve the problems caused by hacking drones.We introduce the design,simulation,control scheme,and implementation of a capture device.A protective cover is designed to prevent the capture net from scattering.A high-power driver is selected to drive the motor motion simultaneously,which ensures the simultaneity of the surrounding six launch mechanisms.Finally,we conduct experiments to confirm the design feasibility.After capturing the target,we conduct a pull-off force test to confirm the stability of the capture net.Compared to the existing capture method,the proposed device is adjustable,rapid,reliable,environmentally friendly,and can capture the target without damage.
文摘High costs,technical difficulties,and policy uncertainties are the main challenges in carbon capture technology investments.Therefore,innovative financial products are required to develop projects that overcome these difficulties.Some issues must be considered when developing innovative financial products.An important problem in this process is that these features cannot possibly exist together in the new financial product,because each of these features incurs some costs.Therefore,identifying the most important features of innovative financial products is necessary.Accordingly,this study develops a new and innovative financial product to increase the effectiveness of investments in carbon capture technologies.For this purpose,a novel artificial intelligence(AI)-based fuzzy decision-making model is constructed.First,the weights of the experts were calculated by considering AI methodology.Second,the factors affecting investment in carbon capture technologies were weighted using a spherical fuzzy DEMATEL.Finally,the financial features required for investments were ranked using the spherical fuzzy ARAS method.This study’s main contribution is its creation of a novel fuzzy decision-making model by integrating AI methodology with fuzzy decision-making theory.In this process,the weights of the experts are calculated using an AI approach.It is concluded that cost-effectiveness must be prioritized in the development of new financial products.Technological competence is another aspect that should be considered in this process.However,innovative financial products should include risk management and flexible financing.
基金supported by the National Natural Science Foundation of China(22472069,22102064,and 22302080)China Postdoctoral Science Foundation(2024M760028).
文摘With global carbon emissions continuing to rise,carbon dioxide(CO_(2))capture and resource utilization have become central challenges in achieving the“dual carbon”goals(carbon peak and carbon neutrality).Traditional carbon capture and storage(CCS)technology can only temporarily sequester CO_(2),whereas emerging green catalytic technologies(photo/electro/thermal catalysis)enable the conversion of CO_(2) into high-value chemicals(e.g.,fuels,pharmaceutical intermediates),advancing the closure of the artificial carbon cycle[1,2].
基金the National Natural Science Foundation of China under Grant Nos.51178338 and 51478346State Key Laboratory of Disaster Reduction in Civil Engineering under Grant No.SLDRCE14-B-16
文摘This paper presents a modified half-sine-squared load model of the jumping impulses for a single person. The model is based on a database of 22,921 experimentally measured single jumping load cycles from 100 test subjects. Threedimensional motion capture technology in conjunction with force plates was employed in the experiment to record jumping loads. The variation range and probability distribution of the controlling parameters for the load model such as the impact factor, jumping frequency and contact ratio, are discussed using the experimental data. Correlation relationships between the three parameters are investigated. The contact ratio and jumping frequency are identified as independent model parameters, and an empirical frequency-dependent function is derived for the impact factor. The feasibility of the proposed load model is established by comparing the simulated load curves with measured ones, and by comparing the acceleration responses of a single-degree-of-freedom system to the simulated and measured jumping loads. The results show that a realistic individual jumping load can be generated by the proposed method. This can then be used to assess the dynamic response of assembly structures.
基金supported by the Zhejiang Provincial Natural Science Foundation of China(No.LDT23E0601)the“Pioneer”and“Leading Goose”R&D Program of Zhejiang(China)(No.2022C03146)+1 种基金the National Natural Science Foundation of China(Nos.U23A20677 and 22022610)the National Funded Postdoctoral Researcher Program of China(No.GZC20232363).
文摘Carbon capture,utilization and storage(CCUS)technologies play an essential role in achieving Net Zero Emissions targets.Considering the lack of timely reviews on the recent advancements in promising CCUS technologies,it is crucial to provide a prompt review of the CCUS advances to understand the current research gaps pertained to its industrial application.To that end,this review first summarized the developmental history of CCUS technologies and the current large-scale demonstrations.Then,based on a visually bibliometric analysis,the carbon capture remains a hotspot in the CCUS development.Noting that the materials applied in the carbon capture process determines its performance.As a result,the state-of-the-art carbon capture materials and emerging capture technologies were comprehensively summarized and discussed.Gaps between state-of-art carbon capture process and its ideal counterpart are analyzed,and insights into the research needs such as material design,process optimization,environmental impact,and technical and economic assessments are provided.
