本文针对本校新工科建设对高等数学课程教育改革的迫切需要,研究了基于知识图谱的AI智慧型混合式高等数学课程建设,综合运用智课平台、慕课平台的可视化、智能化优势开展高等数学知识图谱混合式课程建设研究。在综合实践的背景下,构建...本文针对本校新工科建设对高等数学课程教育改革的迫切需要,研究了基于知识图谱的AI智慧型混合式高等数学课程建设,综合运用智课平台、慕课平台的可视化、智能化优势开展高等数学知识图谱混合式课程建设研究。在综合实践的背景下,构建基于知识图谱的AI智慧型混合式教学模式,并以新工科建设目标为导向,提供了基于知识图谱的AI智慧型高等数学混合式课程案例。This article focuses on the urgent need for the reform of higher mathematics curriculum education in our university’s new engineering construction. It studies the construction of AI intelligent hybrid higher mathematics curriculum based on knowledge graph, and comprehensively utilizes the visualization and intelligence advantages of intelligent course platform and MOOC platform to carry out research on the construction of higher mathematics knowledge graph hybrid curriculum. In the context of comprehensive practice, a knowledge graph based AI intelligent hybrid teaching model is constructed, and guided by the goals of new engineering construction, a case study of AI intelligent higher mathematics hybrid courses based on knowledge graph is provided.展开更多
To further understand the performance of the energy harvesters under the influence of the wind force and the random excitation,this paper investigates the stochastic response of the bio-inspired energy harvesters subj...To further understand the performance of the energy harvesters under the influence of the wind force and the random excitation,this paper investigates the stochastic response of the bio-inspired energy harvesters subjected to Gaussian white noise and galloping excitation,simulating the flapping pattern of a seagull and its interaction with wind force.The equivalent linearization method is utilized to convert the original nonlinear model into the Itôstochastic differential equation by minimizing the mean squared error.Then,the second-order steady-state moments about the displacement,velocity,and voltage are derived by combining the moment analysis theory.The theoretical results are simulated numerically to analyze the stochastic response performance under different noise intensities,wind speeds,stiffness coefficients,and electromechanical coupling coefficients,time domain analysis is also conducted to study the performance of the harvester with different parameters.The results reveal that the mean square displacement and voltage increase with increasing the noise intensity and wind speed,larger absolute values of stiffness coefficient correspond to smaller mean square displacement and voltage,and larger electromechanical coupling coefficients can enhance the mean square voltage.Finally,the influence of wind speed and electromechanical coupling coefficient on the stationary probability density function(SPDF)is investigated,revealing the existence of a bimodal distribution under varying environmental conditions.展开更多
文摘本文针对本校新工科建设对高等数学课程教育改革的迫切需要,研究了基于知识图谱的AI智慧型混合式高等数学课程建设,综合运用智课平台、慕课平台的可视化、智能化优势开展高等数学知识图谱混合式课程建设研究。在综合实践的背景下,构建基于知识图谱的AI智慧型混合式教学模式,并以新工科建设目标为导向,提供了基于知识图谱的AI智慧型高等数学混合式课程案例。This article focuses on the urgent need for the reform of higher mathematics curriculum education in our university’s new engineering construction. It studies the construction of AI intelligent hybrid higher mathematics curriculum based on knowledge graph, and comprehensively utilizes the visualization and intelligence advantages of intelligent course platform and MOOC platform to carry out research on the construction of higher mathematics knowledge graph hybrid curriculum. In the context of comprehensive practice, a knowledge graph based AI intelligent hybrid teaching model is constructed, and guided by the goals of new engineering construction, a case study of AI intelligent higher mathematics hybrid courses based on knowledge graph is provided.
文摘To further understand the performance of the energy harvesters under the influence of the wind force and the random excitation,this paper investigates the stochastic response of the bio-inspired energy harvesters subjected to Gaussian white noise and galloping excitation,simulating the flapping pattern of a seagull and its interaction with wind force.The equivalent linearization method is utilized to convert the original nonlinear model into the Itôstochastic differential equation by minimizing the mean squared error.Then,the second-order steady-state moments about the displacement,velocity,and voltage are derived by combining the moment analysis theory.The theoretical results are simulated numerically to analyze the stochastic response performance under different noise intensities,wind speeds,stiffness coefficients,and electromechanical coupling coefficients,time domain analysis is also conducted to study the performance of the harvester with different parameters.The results reveal that the mean square displacement and voltage increase with increasing the noise intensity and wind speed,larger absolute values of stiffness coefficient correspond to smaller mean square displacement and voltage,and larger electromechanical coupling coefficients can enhance the mean square voltage.Finally,the influence of wind speed and electromechanical coupling coefficient on the stationary probability density function(SPDF)is investigated,revealing the existence of a bimodal distribution under varying environmental conditions.
