This paper first deeply interprets the connotation of the“One Core,Two Lines,Four Dimensions”ideological and political teaching model in courses.Then,it explores the significant meaning of integrating this teaching ...This paper first deeply interprets the connotation of the“One Core,Two Lines,Four Dimensions”ideological and political teaching model in courses.Then,it explores the significant meaning of integrating this teaching model into the Interpretation of Concrete Plane Construction Drawings course.Finally,based on the challenges faced in this work,corresponding educational countermeasures are proposed to help improve the effectiveness and quality of ideological and political construction in the Interpretation of Concrete Plane Construction Drawings course and enhance the level of talent cultivation.展开更多
As the underlying foundation of a digital twin network(DTN),digital twin channel(DTC)can accurately depict the electromagnetic wave propagation in the air interface to support the DTN-based 6G wireless network.Since e...As the underlying foundation of a digital twin network(DTN),digital twin channel(DTC)can accurately depict the electromagnetic wave propagation in the air interface to support the DTN-based 6G wireless network.Since electromagnetic wave propagation is affected by the environment,constructing the relationship between the environment and radio wave propagation is the key to implementing DTC.In the existing methods,the environmental information inputted into the neural network has many dimensions,and the correlation between the environment and the channel is unclear,resulting in a highly complex relationship construction process.To solve this issue,we propose a unified construction method of radio environment knowledge(REK)inspired by the electromagnetic wave property to quantify the propagation contribution based on easily obtainable location information.An effective scatterer determination scheme based on random geometry is proposed which reduces redundancy by 90%,87%,and 81%in scenarios with complete openness,impending blockage,and complete blockage,respectively.We also conduct a path loss prediction task based on a lightweight convolutional neural network(CNN)employing a simple two-layer convolutional structure to validate REK’s effectiveness.The results show that only 4 ms of testing time is needed with a prediction error of 0.3,effectively reducing the network complexity.展开更多
基金Exploration and Practice of the Ideological and Political Teaching Mode Based on the“One Core,Two Lines,Four Dimensions”Curriculum:Taking the“Concrete Flat Construction Drawing Interpretation”Course as an Example(Z233315S)。
文摘This paper first deeply interprets the connotation of the“One Core,Two Lines,Four Dimensions”ideological and political teaching model in courses.Then,it explores the significant meaning of integrating this teaching model into the Interpretation of Concrete Plane Construction Drawings course.Finally,based on the challenges faced in this work,corresponding educational countermeasures are proposed to help improve the effectiveness and quality of ideological and political construction in the Interpretation of Concrete Plane Construction Drawings course and enhance the level of talent cultivation.
基金supported by the National Key R&D Program of China(No.2023YFB2904803)the National Natural Science Foundation of China(Nos.62341128,62201087,and 62101069)+2 种基金the National Science Fund for Distinguished Young Scholars,China(No.61925102)the Beijing Natural Science Foundation,China(No.L243002)the Beijing University of Posts and Telecommunications-China Mobile Research Institute Joint Innovation Center。
文摘As the underlying foundation of a digital twin network(DTN),digital twin channel(DTC)can accurately depict the electromagnetic wave propagation in the air interface to support the DTN-based 6G wireless network.Since electromagnetic wave propagation is affected by the environment,constructing the relationship between the environment and radio wave propagation is the key to implementing DTC.In the existing methods,the environmental information inputted into the neural network has many dimensions,and the correlation between the environment and the channel is unclear,resulting in a highly complex relationship construction process.To solve this issue,we propose a unified construction method of radio environment knowledge(REK)inspired by the electromagnetic wave property to quantify the propagation contribution based on easily obtainable location information.An effective scatterer determination scheme based on random geometry is proposed which reduces redundancy by 90%,87%,and 81%in scenarios with complete openness,impending blockage,and complete blockage,respectively.We also conduct a path loss prediction task based on a lightweight convolutional neural network(CNN)employing a simple two-layer convolutional structure to validate REK’s effectiveness.The results show that only 4 ms of testing time is needed with a prediction error of 0.3,effectively reducing the network complexity.
