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Titlebook: Communications, Signal Processing, and Systems; Proceedings of the 1 Qilian Liang,Wei Wang,Baoju Zhang Conference proceedings 2022 The Edit

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樓主: DUCT
41#
發(fā)表于 2025-3-28 15:56:47 | 只看該作者
42#
發(fā)表于 2025-3-28 18:44:27 | 只看該作者
A MCU-Based Wireless Motion Sensor Setup, number of steps, the distance information, the ECG waveform and the heart rate processed and calculated by the algorithm on the LCD screen in real time. This paper establishes a complete set of wireless motion sensors, and uploads the data to the server through WIFI.
43#
發(fā)表于 2025-3-29 02:21:12 | 只看該作者
Research on Vehicle Parking Aid System Based on Parking Image Enhancement,n, so that it can adapt to more complex environmental conditions; secondly, Ackerman steering theorem is used to draw the dynamic parking aid line, and the coordinate transformation technology is used to output it to the vehicle screen. The adaptability and effectiveness of the developed system are verified by the relevant experimental research.
44#
發(fā)表于 2025-3-29 04:13:54 | 只看該作者
45#
發(fā)表于 2025-3-29 08:06:26 | 只看該作者
Design of Portable ECG Monitoring System Based on STM32 Single Chip Microcomputer,ect ECG signals, and the filtering scheme is selected, so as to dynamically display the ECG and heart rate. Compared with other ECGs, this kind of ECG monitoring system has some advantages such as small volume and low power consumption.
46#
發(fā)表于 2025-3-29 11:59:08 | 只看該作者
47#
發(fā)表于 2025-3-29 16:16:50 | 只看該作者
48#
發(fā)表于 2025-3-29 20:09:49 | 只看該作者
49#
發(fā)表于 2025-3-30 00:39:55 | 只看該作者
Polykristalline Dünnfilmsolarzellen a polynomial function is used to plan the optimal parking path reasonably, and the pure pursuit algorithm is used to track the path after planning. The feasibility of path planning and the effectiveness of path tracking are verified by simulation experiments. This paper is also of great significance to the field of intelligent driving.
50#
發(fā)表于 2025-3-30 07:37:51 | 只看該作者
,Cloud Type Classification Using Multi-modal Information Based on?Multi-task Learning,ts on multi-modal ground-based cloud datasets for different tasks. Experimental results show that multi-task learning is effective for cloud image classification using multi-modal information, and it can improve the results of cloud image classification.
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