Publications by authors named "Dang Thi Thanh Thuy"
The problem of calibrating phased array antennas in a noisy environment using an autocorrelation algorithm is investigated and a mathematical model of the autocorrelation calibration method is presented. The proposed calibration system is based on far-field scanning of the phased array antenna in an environment with internal noise and external interference. The proposed method is applied to a phased array antenna and compared with traditional rotating-element electric-field vector methods, which involve identifying the maximum and minimum vector-sum points (REVmax and REVmin, respectively).
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- The study presents MinSnore, a deep learning model designed for real-time detection and reduction of snoring, optimized for low-powered devices like Raspberry Pi.
- It utilizes a hybrid architecture combining MobileViTV3 blocks and Dynamic MobileNetV3, incorporating CNNs and transformers for effective feature extraction while maintaining low computational demands.
- MinSnore achieved high performance metrics, including 96.37% accuracy and a notable reduction in snoring duration in real-world tests, highlighting its potential to improve sleep health economically and efficiently.