This paper delves into the baseline design under the baseline parameterization model in experimental design, focusing on the relationship between the K-aberration criterion and the word length pattern (WLP) of regular...This paper delves into the baseline design under the baseline parameterization model in experimental design, focusing on the relationship between the K-aberration criterion and the word length pattern (WLP) of regular two-level designs. The paper provides a detailed analysis of the relationship between K5and the WLP for regular two-level designs with resolution t=3, and proposes corresponding theoretical results. These results not only theoretically reveal the connection between the orthogonal parameterization model and the baseline parameterization model but also provide theoretical support for finding the K-aberration optimal regular two-level baseline designs. It demonstrates how to apply these theories to evaluate and select the optimal experimental designs. In practical applications, experimental designers can utilize the theoretical results of this paper to quickly assess and select regular two-level baseline designs with minimal K-aberration by analyzing the WLP of the experimental design. This allows for the identification of key factors that significantly affect the experimental outcomes without frequently changing the factor levels, thereby maximizing the benefits of the experiment.展开更多
The study on designs for the baseline parameterization has aroused attention in recent years. This paper focuses on two-level regular designs for the baseline parameterization. A general result on the relationship bet...The study on designs for the baseline parameterization has aroused attention in recent years. This paper focuses on two-level regular designs for the baseline parameterization. A general result on the relationship between K-aberration and word length pattern is developed.展开更多
In the study of radius of curvature differential equations,a generalized closedform analytical solution to the curve function y(x)in a rectangular 2D Cartesian plane is determined under the assumption that the radius ...In the study of radius of curvature differential equations,a generalized closedform analytical solution to the curve function y(x)in a rectangular 2D Cartesian plane is determined under the assumption that the radius of curvature function and initial conditions are known,specified quantities.Various mathematical examples are provided to demonstrate the validity of the differential equation solution.A more comprehensive application is then shown regarding a regular wedge cam mechanism design associated with three-point selfcentering motion for its potential use when optimizing cam characteristics and associated machinery design related to curvature.展开更多
针对当前雷达电子战中装备的小型化和智能化需求,考虑将探测波形隐藏在干扰波形中,提出了基于深度强化学习的干扰探测一体化波形设计。首先,通过伪随机码噪声调频信号和线性调频信号复合调制完成一体化波形建模;其次,构造速度模糊函数...针对当前雷达电子战中装备的小型化和智能化需求,考虑将探测波形隐藏在干扰波形中,提出了基于深度强化学习的干扰探测一体化波形设计。首先,通过伪随机码噪声调频信号和线性调频信号复合调制完成一体化波形建模;其次,构造速度模糊函数、多普勒模糊函数和脉压后的均值标准差之比等目标函数,引入深度Q网络(deep Q learning network,DQN)算法对目标函数求解;最后,针对DQN类算法中存在的过估计问题,提出了双重竞争深度正则化Q学习(double dueling deep Q-learning network based on regularization,D3QN-Reg)算法对一体化波形进行优化,优化后的脉压幅度最高提升13.6%,速度域的第一旁瓣幅度降低19.1%。展开更多
以轿车车门玻璃升降器为研究对象,阐述了基于知识工程(Knowledge based engineering,KBE)的参数化、智能化车身零部件设计软件的开发过程及其关键技术。玻璃升降器设计系统是在集合最优的UG开发工具和设计方法的基础上,通过二次开发完...以轿车车门玻璃升降器为研究对象,阐述了基于知识工程(Knowledge based engineering,KBE)的参数化、智能化车身零部件设计软件的开发过程及其关键技术。玻璃升降器设计系统是在集合最优的UG开发工具和设计方法的基础上,通过二次开发完成的。结合知识驱动自动化、知识熔接技术以及用户定义特征等重要的研究内容, 着重叙述该系统开发的工作流程及其所运用到的相关的关键的UG开发工具(UDU,KF,Wizard UI和UDF)以及有关开发的关键技术。作为基于UG平台而自主开发的车身部件参数化设计专用工具软件,该模块通过设计向导用户界面的设计风格,从实际应用上已经完全实现了车身部件设计的自动化和智能化,从而为车身设计人员提供了专业的智能化设计工具。展开更多
文摘This paper delves into the baseline design under the baseline parameterization model in experimental design, focusing on the relationship between the K-aberration criterion and the word length pattern (WLP) of regular two-level designs. The paper provides a detailed analysis of the relationship between K5and the WLP for regular two-level designs with resolution t=3, and proposes corresponding theoretical results. These results not only theoretically reveal the connection between the orthogonal parameterization model and the baseline parameterization model but also provide theoretical support for finding the K-aberration optimal regular two-level baseline designs. It demonstrates how to apply these theories to evaluate and select the optimal experimental designs. In practical applications, experimental designers can utilize the theoretical results of this paper to quickly assess and select regular two-level baseline designs with minimal K-aberration by analyzing the WLP of the experimental design. This allows for the identification of key factors that significantly affect the experimental outcomes without frequently changing the factor levels, thereby maximizing the benefits of the experiment.
文摘The study on designs for the baseline parameterization has aroused attention in recent years. This paper focuses on two-level regular designs for the baseline parameterization. A general result on the relationship between K-aberration and word length pattern is developed.
文摘In the study of radius of curvature differential equations,a generalized closedform analytical solution to the curve function y(x)in a rectangular 2D Cartesian plane is determined under the assumption that the radius of curvature function and initial conditions are known,specified quantities.Various mathematical examples are provided to demonstrate the validity of the differential equation solution.A more comprehensive application is then shown regarding a regular wedge cam mechanism design associated with three-point selfcentering motion for its potential use when optimizing cam characteristics and associated machinery design related to curvature.
文摘针对当前雷达电子战中装备的小型化和智能化需求,考虑将探测波形隐藏在干扰波形中,提出了基于深度强化学习的干扰探测一体化波形设计。首先,通过伪随机码噪声调频信号和线性调频信号复合调制完成一体化波形建模;其次,构造速度模糊函数、多普勒模糊函数和脉压后的均值标准差之比等目标函数,引入深度Q网络(deep Q learning network,DQN)算法对目标函数求解;最后,针对DQN类算法中存在的过估计问题,提出了双重竞争深度正则化Q学习(double dueling deep Q-learning network based on regularization,D3QN-Reg)算法对一体化波形进行优化,优化后的脉压幅度最高提升13.6%,速度域的第一旁瓣幅度降低19.1%。
文摘以轿车车门玻璃升降器为研究对象,阐述了基于知识工程(Knowledge based engineering,KBE)的参数化、智能化车身零部件设计软件的开发过程及其关键技术。玻璃升降器设计系统是在集合最优的UG开发工具和设计方法的基础上,通过二次开发完成的。结合知识驱动自动化、知识熔接技术以及用户定义特征等重要的研究内容, 着重叙述该系统开发的工作流程及其所运用到的相关的关键的UG开发工具(UDU,KF,Wizard UI和UDF)以及有关开发的关键技术。作为基于UG平台而自主开发的车身部件参数化设计专用工具软件,该模块通过设计向导用户界面的设计风格,从实际应用上已经完全实现了车身部件设计的自动化和智能化,从而为车身设计人员提供了专业的智能化设计工具。
