The thinking of co evolution is applied to the optimization of retaining and protecting structure for deep foundation excavation, and the system of optimization of anchored row piles for deep foundation pit has been a...The thinking of co evolution is applied to the optimization of retaining and protecting structure for deep foundation excavation, and the system of optimization of anchored row piles for deep foundation pit has been already developed successfully. For the co evolution algorithm providing an evolutionary mechanism to simulate ever changing problem space, it is an optimization algorithm that has high performance, especially applying to the optimization of complicated system of retaining and protecting for deep foundation pit. It is shown by many engineering practices that the co evolution algorithm has obvious optimization effect, so it can be an important method of optimization of retaining and protecting for deep foundation pit. Here the authors discuss the co evolution model, object function, all kinds of constraint conditions and their disposal methods, and several key techniques of system realization.展开更多
Systematical researches were accomplished on WC-Co with different Co contents(6%,10%and 12%,mass fraction).Based on the XPS and EDX,from orthogonal pretreatment experiments,it is indicated that the acid concentration,...Systematical researches were accomplished on WC-Co with different Co contents(6%,10%and 12%,mass fraction).Based on the XPS and EDX,from orthogonal pretreatment experiments,it is indicated that the acid concentration,the time of the acid pretreatment and the original Co content have significant influences on the Co-removal depth(D).Moreover,the specimen temperature,original Co content and Co-removal depth dependences of the Co evolution in nucleation,heating(in pure H2 atmosphere)and growth experiments were discussed,and mechanisms of Co evolutions were summarized,providing sufficient theoretical bases for the deposition of high-quality diamond films on WC-Co substrates,especially Co-rich WC-Co substrates.It is proven that the Co-rich substrate often presents rapid Co diffusion.The high substrate temperature can promote the Co diffusion in the pretreated substrate,while acts as a Co-etching process for the untreated substrates.It is finally found that the appropriate Co-removal depth for the WC-12%Co substrate is 8-9μm.展开更多
The rise of foundation models has brought significant advances to artificial intelligence,especially in reasoning,commonsense understanding,and tool use.These capabilities,when integrated into agent systems,hold great...The rise of foundation models has brought significant advances to artificial intelligence,especially in reasoning,commonsense understanding,and tool use.These capabilities,when integrated into agent systems,hold great promise for real-world applications such as vision-language navigation(VLN)and vision-language action(VLA).However,deploying such models in practice presents ongoing challenges,particularly in adapting and optimizing them across diverse and changing environments.This letter proposes a parallel deep foundation model(PDFM)framework to support continuous model evolution in cloud-edge-device systems.The framework establishes a co-evolution process between two complementary capabilities:embodied cognition,which reflects the model’s grounded understanding and task adaptation in physical systems,and analogical imagination,which enables creative exploration and capacity expansion in virtual environments.Through three core processes,learning and training,experiment and evaluation,and management and control,the system supports iterative refinement and dynamic interaction between virtual and real spaces.This enables general-purpose models to gradually converge toward domain-specific intelligence,supporting longterm,adaptive deployment.展开更多
基金National Natural Science Foundation of China( 5 986 80 0 1)
文摘The thinking of co evolution is applied to the optimization of retaining and protecting structure for deep foundation excavation, and the system of optimization of anchored row piles for deep foundation pit has been already developed successfully. For the co evolution algorithm providing an evolutionary mechanism to simulate ever changing problem space, it is an optimization algorithm that has high performance, especially applying to the optimization of complicated system of retaining and protecting for deep foundation pit. It is shown by many engineering practices that the co evolution algorithm has obvious optimization effect, so it can be an important method of optimization of retaining and protecting for deep foundation pit. Here the authors discuss the co evolution model, object function, all kinds of constraint conditions and their disposal methods, and several key techniques of system realization.
基金Projects(51275302,51005154)supported by the National Natural Science Foundation of ChinaProject(2015M580327)supported by the China Postdoctoral Science FoundationProject(2016T90370)supported by the China Postdoctoral Science Foundation Special Funded Project
文摘Systematical researches were accomplished on WC-Co with different Co contents(6%,10%and 12%,mass fraction).Based on the XPS and EDX,from orthogonal pretreatment experiments,it is indicated that the acid concentration,the time of the acid pretreatment and the original Co content have significant influences on the Co-removal depth(D).Moreover,the specimen temperature,original Co content and Co-removal depth dependences of the Co evolution in nucleation,heating(in pure H2 atmosphere)and growth experiments were discussed,and mechanisms of Co evolutions were summarized,providing sufficient theoretical bases for the deposition of high-quality diamond films on WC-Co substrates,especially Co-rich WC-Co substrates.It is proven that the Co-rich substrate often presents rapid Co diffusion.The high substrate temperature can promote the Co diffusion in the pretreated substrate,while acts as a Co-etching process for the untreated substrates.It is finally found that the appropriate Co-removal depth for the WC-12%Co substrate is 8-9μm.
基金supported by the National Natural Science Foundation of China(No.62303460)the Science and Technology Development Fund of Macao SAR(Nos.0145/2023/RIA3 and 0093/2023/RIA2)the Young Elite Scientists Sponsorship Program of China Association for Science and Technology(No.YESS20220372).
文摘The rise of foundation models has brought significant advances to artificial intelligence,especially in reasoning,commonsense understanding,and tool use.These capabilities,when integrated into agent systems,hold great promise for real-world applications such as vision-language navigation(VLN)and vision-language action(VLA).However,deploying such models in practice presents ongoing challenges,particularly in adapting and optimizing them across diverse and changing environments.This letter proposes a parallel deep foundation model(PDFM)framework to support continuous model evolution in cloud-edge-device systems.The framework establishes a co-evolution process between two complementary capabilities:embodied cognition,which reflects the model’s grounded understanding and task adaptation in physical systems,and analogical imagination,which enables creative exploration and capacity expansion in virtual environments.Through three core processes,learning and training,experiment and evaluation,and management and control,the system supports iterative refinement and dynamic interaction between virtual and real spaces.This enables general-purpose models to gradually converge toward domain-specific intelligence,supporting longterm,adaptive deployment.
