Materials design using Bayesian optimization(BO)typically focuses on optimizing materials properties by estimating the maxima/minima of unknown functions.However,materials often possess good properties at specific val...Materials design using Bayesian optimization(BO)typically focuses on optimizing materials properties by estimating the maxima/minima of unknown functions.However,materials often possess good properties at specific values or show effective response under certain conditions.We propose a target-oriented BO to efficiently suggest materials with target-specific properties.The method samples potential candidates by allowing their properties to approach the target value from either above or below,minimizing experimental iterations.We compare the performance of target-oriented BOwith that of otherBOmethods on synthetic functions and materials databases.The average results from hundreds of repeated trials demonstrate target-oriented BO requires fewer experimental iterations to reach the same target,especially when the training dataset is small.Wefurther employ the method to discover a thermally-responsive shape memory alloy Ti_(0.20)Ni_(0.36)Cu_(0.12)Hf_(0.24)Zr_(0.08)with a transformation temperature difference of only 2.66℃(0.58%of the range)from the target temperature in 3 experimental iterations.Our method provides a solution tailored for optimizing target-specific properties,facilitating the accelerated development of materials with predefined properties.展开更多
In response to the problems of low sampling efficiency,strong randomness of sampling points,and the tortuous shape of the planned path in the traditional rapidly-exploring random tree(RRT)algorithm and bidirectional R...In response to the problems of low sampling efficiency,strong randomness of sampling points,and the tortuous shape of the planned path in the traditional rapidly-exploring random tree(RRT)algorithm and bidirectional RRT algorithm used for unmanned aerial vehicle(UAV)path planning in complex environments,an improved bidirectional RRT algorithm was proposed.The algorithm firstly adopted a goal-oriented strategy to guide the sampling points towards the target point,and then the artificial potential field acted on the random tree nodes to avoid collision with obstacles and reduced the length of the search path,and the random tree node growth also combined the UAV’s own flight constraints,and by combining the triangulation method to remove the redundant node strategy and the third-order B-spline curve for the smoothing of the trajectory,the planned path was better.The planned paths were more optimized.Finally,the simulation experiments in complex and dynamic environments showed that the algorithm effectively improved the speed of trajectory planning and shortened the length of the trajectory,and could generate a safe,smooth and fast trajectory in complex environments,which could be applied to online trajectory planning.展开更多
Self-localization is a fundamental requirement for the mobile robot. Robot usually contains a large number of dif- ferent sensors, which provide the information of robot localization, and all the sensor information sh...Self-localization is a fundamental requirement for the mobile robot. Robot usually contains a large number of dif- ferent sensors, which provide the information of robot localization, and all the sensor information should be considered for the optimal location. Kalman filter is efficient to realize the information fusion. Used as an efficient sensor fusion algorithm, Kalman filter is an advanced filtering technique which can reduce errors of the position and orientation of the sensors. Kalman filter has been paied much attention to robot automation and solutions to solve uncertainties such as robot localization, navigation, following, tracking, motion control, estimation and prediction. The paper briefly describes Kalman filter theory, and establishes a simple mathematical model based on muti-sensor mobile robot. Meanwhile, Kalman filter is used in robot self-localization by simulations, and it is demonstrated by simulations that Kalman filter is effective.展开更多
The reasonable marketing orientation is related to the survival and the development of the enterprises. According to the disadvantages and superiority of the middle and small sized enterprises of our country, this pap...The reasonable marketing orientation is related to the survival and the development of the enterprises. According to the disadvantages and superiority of the middle and small sized enterprises of our country, this paper analyzes the new thought about the marketing orientation from the aspects of marketing product orientation, marketing way orientation, marketing target orientation, marketing strategy orientation and marketing idea orientation. It has great theoretical and practical significance.展开更多
基金the support of the National Key Research and Development Program of China(2021YFB3802102)National Natural Science Foundation of China(Grant Nos.52303297,52350710205)China Postdoctoral Science Foundation(2022TQ0201,2023M742196).
文摘Materials design using Bayesian optimization(BO)typically focuses on optimizing materials properties by estimating the maxima/minima of unknown functions.However,materials often possess good properties at specific values or show effective response under certain conditions.We propose a target-oriented BO to efficiently suggest materials with target-specific properties.The method samples potential candidates by allowing their properties to approach the target value from either above or below,minimizing experimental iterations.We compare the performance of target-oriented BOwith that of otherBOmethods on synthetic functions and materials databases.The average results from hundreds of repeated trials demonstrate target-oriented BO requires fewer experimental iterations to reach the same target,especially when the training dataset is small.Wefurther employ the method to discover a thermally-responsive shape memory alloy Ti_(0.20)Ni_(0.36)Cu_(0.12)Hf_(0.24)Zr_(0.08)with a transformation temperature difference of only 2.66℃(0.58%of the range)from the target temperature in 3 experimental iterations.Our method provides a solution tailored for optimizing target-specific properties,facilitating the accelerated development of materials with predefined properties.
基金supported by Gansu Provincial Science and Technology Program Project(No.23JRRA868)Lanzhou Municipal Talent Innovation and Entrepreneurship Project(No.2019-RC-103)。
文摘In response to the problems of low sampling efficiency,strong randomness of sampling points,and the tortuous shape of the planned path in the traditional rapidly-exploring random tree(RRT)algorithm and bidirectional RRT algorithm used for unmanned aerial vehicle(UAV)path planning in complex environments,an improved bidirectional RRT algorithm was proposed.The algorithm firstly adopted a goal-oriented strategy to guide the sampling points towards the target point,and then the artificial potential field acted on the random tree nodes to avoid collision with obstacles and reduced the length of the search path,and the random tree node growth also combined the UAV’s own flight constraints,and by combining the triangulation method to remove the redundant node strategy and the third-order B-spline curve for the smoothing of the trajectory,the planned path was better.The planned paths were more optimized.Finally,the simulation experiments in complex and dynamic environments showed that the algorithm effectively improved the speed of trajectory planning and shortened the length of the trajectory,and could generate a safe,smooth and fast trajectory in complex environments,which could be applied to online trajectory planning.
基金Research Fund for the Doctoral Program of Higher Education of China(No.20123718120007)
文摘Self-localization is a fundamental requirement for the mobile robot. Robot usually contains a large number of dif- ferent sensors, which provide the information of robot localization, and all the sensor information should be considered for the optimal location. Kalman filter is efficient to realize the information fusion. Used as an efficient sensor fusion algorithm, Kalman filter is an advanced filtering technique which can reduce errors of the position and orientation of the sensors. Kalman filter has been paied much attention to robot automation and solutions to solve uncertainties such as robot localization, navigation, following, tracking, motion control, estimation and prediction. The paper briefly describes Kalman filter theory, and establishes a simple mathematical model based on muti-sensor mobile robot. Meanwhile, Kalman filter is used in robot self-localization by simulations, and it is demonstrated by simulations that Kalman filter is effective.
文摘The reasonable marketing orientation is related to the survival and the development of the enterprises. According to the disadvantages and superiority of the middle and small sized enterprises of our country, this paper analyzes the new thought about the marketing orientation from the aspects of marketing product orientation, marketing way orientation, marketing target orientation, marketing strategy orientation and marketing idea orientation. It has great theoretical and practical significance.
