The contribution of functional virtual prototyping to vehicle chassis development is presented. The different topics that we took into consideration were reform analysis and improvement design during the vehicle chass...The contribution of functional virtual prototyping to vehicle chassis development is presented. The different topics that we took into consideration were reform analysis and improvement design during the vehicle chassis development. A frame of coordinates based on the digital-model was established, the main CAE analy- sis methods, multi-body system dynamics and finite element analysis were applied to the digital-model build by CAD/CAM software. The method was applied in the vehicle chassis reform analysis and improvement design, all the analysis and design projects were implemented in the uniform digital-model, and the development was carried through effectively.展开更多
The positioning combined with multi-functioning and interactive mechanics in dynamic testing of slender bridges are treated in present paper. The approach takes into account multiple functions in dynamic testing of sl...The positioning combined with multi-functioning and interactive mechanics in dynamic testing of slender bridges are treated in present paper. The approach takes into account multiple functions in dynamic testing of slender bridges constructed of thin-walled structural members with their hierarchical configuration. Theoretical, numerical and experimental in situ assessments of the problem are presented. Some results of the application in situ are submitted.展开更多
The combination of network function virtualization and software-defined networking allows various network functions to process flows according to their characteristics and requirements.Due to the highly dynamic nature...The combination of network function virtualization and software-defined networking allows various network functions to process flows according to their characteristics and requirements.Due to the highly dynamic nature of the workload,the network infrastructure needs to properly schedule the underlying resources in order to respond to workload changes in a timely manner.However,the existing NFV platform lacks a comprehensive solution for how to scale under workload variation,which may seriously hurt the overall system performance.To improve the scalability of the NFV platform and ensure consistent high performance under dynamic workloads,we propose AdaptNF,a novel NFV platform designed to support a combination of course-grained and fine-grained resource scheduling strategies.To deal with resource imbalance,which is the essential scheduling problem that leads to insufficient NFV performance,AdaptNF adopts a novel algorithm that can efficiently balance the workload among multiple network function instances through stateless flow migration.Our controlled experiments show that the AdaptNF scheme can optimize resource allocation and ensure outstanding performance after scaling.In terms of network throughput and latency,AdaptNF significantly improves the performance of the underlying NFV platform.展开更多
The severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)gained tremendous attention due to its high infectivity and pathogenicity.The 3-chymotrypsin-like hydrolase protease(Mpro)of SARS-CoV-2 has been proven to...The severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)gained tremendous attention due to its high infectivity and pathogenicity.The 3-chymotrypsin-like hydrolase protease(Mpro)of SARS-CoV-2 has been proven to be an important target for anti-SARS-CoV-2 activity.To better identify the drugs with potential in treating coronavirus disease 2019(COVID-19)caused by SARS-CoV-2 and according to the crystal structure of Mpro,we conducted a virtual screening of FDA-approved drugs and chemical agents that have entered clinical trials.As a result,9 drug candidates with therapeutic potential for the treatment of COVID-19 and with good docking scores were identified to target SARS-CoV-2.Consequently,molecular dynamics(MD)simulation was performed to explore the dynamic interactions between the predicted drugs and Mpro.The binding mode during MD simulation showed that hydrogen bonding and hydrophobic interactions played an important role in the binding processes.Based on the binding free energy calculated by using MM/PBSA,Lopiravir,an inhibitor of human immunodeficiency virus(HIV)protease,is under investigation for the treatment of COVID-19 in combination with ritionavir,and it might inhibit Mpro effectively.Moreover,Ombitasvir,an inhibitor for non-structural protein 5 A of hepatitis C virus(HCV),has good inhibitory potency for Mpro.It is notable that the GS-6620 has a binding free energy,with respect to binding Mpro,comparable to that of ombitasvir.Our study suggests that ombitasvir and lopinavir are good drug candidates for the treatment of COVID-19,and that GS-6620 has good anti-SARS-CoV-2 activity.展开更多
文摘The contribution of functional virtual prototyping to vehicle chassis development is presented. The different topics that we took into consideration were reform analysis and improvement design during the vehicle chassis development. A frame of coordinates based on the digital-model was established, the main CAE analy- sis methods, multi-body system dynamics and finite element analysis were applied to the digital-model build by CAD/CAM software. The method was applied in the vehicle chassis reform analysis and improvement design, all the analysis and design projects were implemented in the uniform digital-model, and the development was carried through effectively.
文摘The positioning combined with multi-functioning and interactive mechanics in dynamic testing of slender bridges are treated in present paper. The approach takes into account multiple functions in dynamic testing of slender bridges constructed of thin-walled structural members with their hierarchical configuration. Theoretical, numerical and experimental in situ assessments of the problem are presented. Some results of the application in situ are submitted.
基金supported by the Guangdong Province Key Area R&D Program under grant No.2018B010113001National Key Research and Development Program of China under Grant No.2018YFB1804704+1 种基金National Natural Science Foundation of China under grant No.61902171the Shenzhen Key Lab of Software Defined Networking under grant No.ZDSYS20140509172959989.
文摘The combination of network function virtualization and software-defined networking allows various network functions to process flows according to their characteristics and requirements.Due to the highly dynamic nature of the workload,the network infrastructure needs to properly schedule the underlying resources in order to respond to workload changes in a timely manner.However,the existing NFV platform lacks a comprehensive solution for how to scale under workload variation,which may seriously hurt the overall system performance.To improve the scalability of the NFV platform and ensure consistent high performance under dynamic workloads,we propose AdaptNF,a novel NFV platform designed to support a combination of course-grained and fine-grained resource scheduling strategies.To deal with resource imbalance,which is the essential scheduling problem that leads to insufficient NFV performance,AdaptNF adopts a novel algorithm that can efficiently balance the workload among multiple network function instances through stateless flow migration.Our controlled experiments show that the AdaptNF scheme can optimize resource allocation and ensure outstanding performance after scaling.In terms of network throughput and latency,AdaptNF significantly improves the performance of the underlying NFV platform.
基金supported by the National Natural Science Foundation of China(31400667)Chongqing Municipal Education Commission Science and Technology Research Project(KJZD-K201801102)+2 种基金Chongqing Research Program of Basic Research and Frontier Technology(cstc2018jcyj AX0683)Opening Foundation of State Key Laboratory of Silkworm Genome Biology(sklsgb1819-2)Computational support from the Information Center of Chongqing University of Technology。
文摘The severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)gained tremendous attention due to its high infectivity and pathogenicity.The 3-chymotrypsin-like hydrolase protease(Mpro)of SARS-CoV-2 has been proven to be an important target for anti-SARS-CoV-2 activity.To better identify the drugs with potential in treating coronavirus disease 2019(COVID-19)caused by SARS-CoV-2 and according to the crystal structure of Mpro,we conducted a virtual screening of FDA-approved drugs and chemical agents that have entered clinical trials.As a result,9 drug candidates with therapeutic potential for the treatment of COVID-19 and with good docking scores were identified to target SARS-CoV-2.Consequently,molecular dynamics(MD)simulation was performed to explore the dynamic interactions between the predicted drugs and Mpro.The binding mode during MD simulation showed that hydrogen bonding and hydrophobic interactions played an important role in the binding processes.Based on the binding free energy calculated by using MM/PBSA,Lopiravir,an inhibitor of human immunodeficiency virus(HIV)protease,is under investigation for the treatment of COVID-19 in combination with ritionavir,and it might inhibit Mpro effectively.Moreover,Ombitasvir,an inhibitor for non-structural protein 5 A of hepatitis C virus(HCV),has good inhibitory potency for Mpro.It is notable that the GS-6620 has a binding free energy,with respect to binding Mpro,comparable to that of ombitasvir.Our study suggests that ombitasvir and lopinavir are good drug candidates for the treatment of COVID-19,and that GS-6620 has good anti-SARS-CoV-2 activity.
