Three recent breakthroughs due to AI in arts and science serve as motivation:An award winning digital image,protein folding,fast matrix multiplication.Many recent developments in artificial neural networks,particularl...Three recent breakthroughs due to AI in arts and science serve as motivation:An award winning digital image,protein folding,fast matrix multiplication.Many recent developments in artificial neural networks,particularly deep learning(DL),applied and relevant to computational mechanics(solid,fluids,finite-element technology)are reviewed in detail.Both hybrid and pure machine learning(ML)methods are discussed.Hybrid methods combine traditional PDE discretizations with ML methods either(1)to help model complex nonlinear constitutive relations,(2)to nonlinearly reduce the model order for efficient simulation(turbulence),or(3)to accelerate the simulation by predicting certain components in the traditional integration methods.Here,methods(1)and(2)relied on Long-Short-Term Memory(LSTM)architecture,with method(3)relying on convolutional neural networks.Pure ML methods to solve(nonlinear)PDEs are represented by Physics-Informed Neural network(PINN)methods,which could be combined with attention mechanism to address discontinuous solutions.Both LSTM and attention architectures,together with modern and generalized classic optimizers to include stochasticity for DL networks,are extensively reviewed.Kernel machines,including Gaussian processes,are provided to sufficient depth for more advanced works such as shallow networks with infinite width.Not only addressing experts,readers are assumed familiar with computational mechanics,but not with DL,whose concepts and applications are built up from the basics,aiming at bringing first-time learners quickly to the forefront of research.History and limitations of AI are recounted and discussed,with particular attention at pointing out misstatements or misconceptions of the classics,even in well-known references.Positioning and pointing control of a large-deformable beam is given as an example.展开更多
目的:通过网状Meta分析评价中医外治疗法缓解化疗诱导外周神经病变(CIPN)症状的疗效。方法:检索PubMed、the Cochrane Library、EMbase、Web of Science、中国知网、万方数据库、维普数据库等中英文数据库中有关中医外治疗法缓解CIPN症...目的:通过网状Meta分析评价中医外治疗法缓解化疗诱导外周神经病变(CIPN)症状的疗效。方法:检索PubMed、the Cochrane Library、EMbase、Web of Science、中国知网、万方数据库、维普数据库等中英文数据库中有关中医外治疗法缓解CIPN症状的随机对照试验,检索时限为各数据库建库到2023年8月15日。由2名研究者独立筛选文献、提取数据及文献质量评价。应用Stata 17.0软件进行网状Meta分析。结果:共纳入32项随机对照试验,共计2492例CIPN病人,涉及穴位贴敷、中药熏洗+甲钴胺联合治疗、穴位针灸+甲钴胺联合治疗等多种中西医结合疗法。网状Meta分析结果显示:总有效率疗效较好的为中药熏洗+甲钴胺治疗和穴位针灸大类+甲钴胺治疗;生活质量指数较优的为中药熏洗、穴位针灸大类+甲钴胺治疗。结论:现有证据显示,6种中西医结合治疗有效率高于常规护理和两种单纯西医治疗,且中药熏洗+甲钴胺治疗、穴位针灸大类+甲钴胺治疗两类中西医结合治疗疗效较好。展开更多
目前,安卓(Android)应用多数为小型软件,业务集成性不强,且安卓市场,91助手等应用商店也只支持一次下载一个应用程序。针对此情况,提出了基于安卓平台的业务盒的应用设想,旨在将安卓应用,壁纸、铃音、书签、快捷方式等业务集成于一个以....目前,安卓(Android)应用多数为小型软件,业务集成性不强,且安卓市场,91助手等应用商店也只支持一次下载一个应用程序。针对此情况,提出了基于安卓平台的业务盒的应用设想,旨在将安卓应用,壁纸、铃音、书签、快捷方式等业务集成于一个以.zpk为后缀名的资源包,然后将此资源包一次性安装于安卓手机终端。参考美国移动运营商Sprint的Sprint ID Pack项目,并结合国内实际情况,设计并实现了一个基于安卓平台的业务盒,此系统已在安卓手机终端运行通过,从而得到了一个切实可行的多业务集成软件。展开更多
As the traditional RISC+ASIC/ASSP approach for network processor design can not meet the today’s requirements, this paper described an alternate approach, Reconfigurable Processing Architecture, to boost the performa...As the traditional RISC+ASIC/ASSP approach for network processor design can not meet the today’s requirements, this paper described an alternate approach, Reconfigurable Processing Architecture, to boost the performance to ASIC level while reserve the programmability of the traditional RISC based system. This paper covers both the hardware architecture and the software development environment architecture.展开更多
为满足电力通信网发展需求,需要根据组网应用管理标准,充分发挥光传送网(Optical Transport Network,OTN)组网技术的应用优势,构建更加合理可控的技术模式,满足资源应用管理要求,为电力通信网综合质量优化提供保障。基于该背景,介绍OTN...为满足电力通信网发展需求,需要根据组网应用管理标准,充分发挥光传送网(Optical Transport Network,OTN)组网技术的应用优势,构建更加合理可控的技术模式,满足资源应用管理要求,为电力通信网综合质量优化提供保障。基于该背景,介绍OTN组网技术的概念和特点,讨论电力通信网领域中OTN组网技术的融合应用,并分析了该技术的发展前景。展开更多
文摘Three recent breakthroughs due to AI in arts and science serve as motivation:An award winning digital image,protein folding,fast matrix multiplication.Many recent developments in artificial neural networks,particularly deep learning(DL),applied and relevant to computational mechanics(solid,fluids,finite-element technology)are reviewed in detail.Both hybrid and pure machine learning(ML)methods are discussed.Hybrid methods combine traditional PDE discretizations with ML methods either(1)to help model complex nonlinear constitutive relations,(2)to nonlinearly reduce the model order for efficient simulation(turbulence),or(3)to accelerate the simulation by predicting certain components in the traditional integration methods.Here,methods(1)and(2)relied on Long-Short-Term Memory(LSTM)architecture,with method(3)relying on convolutional neural networks.Pure ML methods to solve(nonlinear)PDEs are represented by Physics-Informed Neural network(PINN)methods,which could be combined with attention mechanism to address discontinuous solutions.Both LSTM and attention architectures,together with modern and generalized classic optimizers to include stochasticity for DL networks,are extensively reviewed.Kernel machines,including Gaussian processes,are provided to sufficient depth for more advanced works such as shallow networks with infinite width.Not only addressing experts,readers are assumed familiar with computational mechanics,but not with DL,whose concepts and applications are built up from the basics,aiming at bringing first-time learners quickly to the forefront of research.History and limitations of AI are recounted and discussed,with particular attention at pointing out misstatements or misconceptions of the classics,even in well-known references.Positioning and pointing control of a large-deformable beam is given as an example.
文摘目前,安卓(Android)应用多数为小型软件,业务集成性不强,且安卓市场,91助手等应用商店也只支持一次下载一个应用程序。针对此情况,提出了基于安卓平台的业务盒的应用设想,旨在将安卓应用,壁纸、铃音、书签、快捷方式等业务集成于一个以.zpk为后缀名的资源包,然后将此资源包一次性安装于安卓手机终端。参考美国移动运营商Sprint的Sprint ID Pack项目,并结合国内实际情况,设计并实现了一个基于安卓平台的业务盒,此系统已在安卓手机终端运行通过,从而得到了一个切实可行的多业务集成软件。
文摘As the traditional RISC+ASIC/ASSP approach for network processor design can not meet the today’s requirements, this paper described an alternate approach, Reconfigurable Processing Architecture, to boost the performance to ASIC level while reserve the programmability of the traditional RISC based system. This paper covers both the hardware architecture and the software development environment architecture.
文摘为满足电力通信网发展需求,需要根据组网应用管理标准,充分发挥光传送网(Optical Transport Network,OTN)组网技术的应用优势,构建更加合理可控的技术模式,满足资源应用管理要求,为电力通信网综合质量优化提供保障。基于该背景,介绍OTN组网技术的概念和特点,讨论电力通信网领域中OTN组网技术的融合应用,并分析了该技术的发展前景。
