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publications
Information fractal dimension of Random Permutation Set
Published in Chaos, Solitons & Fractals, 2023
Inspired by the Rényi information dimension, this paper proposed the information dimension of the permutation mass function in Random permutation Set (RPS), and found the information dimension corresponding to the maximum RPS entropy is 2, which is equivalent to the fractal dimension of Brownian motion and Peano curve.
Recommended citation: Tong Zhao, Zhen Li, and Yong Deng."Information fractal dimension of Random Permutation Set." Chaos, Solitons & Fractals 174 (2023): 113883. https://www.sciencedirect.com/science/article/abs/pii/S0960077923007841
Linearity in Deng entropy
Published in Chaos, Solitons & Fractals, 2024
This paper conducts an in-depth exploration of the linear relationship between Deng entropy and the scale of the frame of discernment (SFOD), and find that the slope is nothing else but the information fractal dimension of mass function. It shows that entropy can not only increase, but also increase in a linear way, leading to the convenience of approximate calculation.
Recommended citation: Tong Zhao, Zhen Li, and Yong Deng."Linearity in Deng entropy." Chaos, Solitons & Fractals 178 (2024): 114388. https://www.sciencedirect.com/science/article/abs/pii/S0960077923012900
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Whirlwind - An Automatic Ball-Picking Robot
Advised by Prof. Xiang Li, School of Aeronautics and Astronautics, UESTC, 2023
The robot control component of this project consists of a visual recognition module (K210) and a mechanical control module (Arduino core board). The primary task of the recognition module is to load a pre-trained visual recognition network, extract images from real-time images, pass the images into the visual recognition network to obtain recognition results, and then pass them to the control module. The main task of the control module is to accept parameters transmitted by the recognition module, convert them into control signals for various parts of the robot through algorithms, and implement functions such as ball searching, steering, motion, and ball picking. You can refer to this video for the robot’s performance.
Micro Control Unit Design and Optimization Based on ARM Architecture
Advised by Prof. Jianhao Hu and Prof. Kaining Han, National Key Laboratory of Wireless Communications, 2023
Our design objective is to develop an MCU based on the ARM architecture capable of successfully computing convolutions of two-dimensional 32-bit vectors with dimensions of 16. The MCU operates at the behavioral level input and necessitates support for fundamental ARM instructions such as ADD, SUB, AND, OR, MOV, LDR, STR, B/BL, etc. To facilitate computations, we extended the instruction set to include multiplication (MUL) and assignment (MOV) instructions, and developed a custom multiplier module for higher operational speed. Additionally, we performed a series of optimizations on the assembly instructions.