A5051488318- Wireless Sensor Networks and IoT
- Remote Sensing in Agriculture
- Smart Agriculture and AI
- Remote Sensing and LiDAR Applications
- IoT-based Smart Home Systems
- Advanced Technologies in Various Fields
- Laser Material Processing Techniques
- Industrial Vision Systems and Defect Detection
- Thermography and Photoacoustic Techniques
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Water Quality Monitoring Technologies
- Robotics and Sensor-Based Localization
- Species Distribution and Climate Change
- Plant Water Relations and Carbon Dynamics
Tianjin Renai College
2024-2025
Tianjin Academy of Fine Arts
2025
Jiangsu University
2021-2024
As self-driving vehicles become more prevalent, the speed and accuracy of detecting surrounding objects through onboard sensing technology have increasingly important. The YOLOv8-QSD network is a novel anchor-free driving scene detection that builds on YOLOv8 ensures while maintaining efficiency. network's backbone employs structural reparameterization techniques to transform Diverse Branch Block based model. To accurately detect small objects, it integrates features different scales...
The Embedded operating system based on STC12C5A MCU is designed to facilitate real-time monitoring and control of the home environment, in order solve some problems such as low acquisition frequency, poor performance, lack feedback adaptation. Kalman filter improved k-means algorithm are used analyze big data which processed by BP neural network, then most comfortable living environment parameters can be obtained. independent mechanism adjustment achieve efficient collaboration stable...
<title>Abstract</title> A three level data fusion architecture is proposed to facilitate the real-time detection and intelligent adjustment of living environment, which based on fuzzy theory, back propagation (BP) neural network, Dempster-Shafer (D-S) evidence weight optimization method. The machine learning algorithm used judge environment with historical data, so that current can make users feel comfortable, obtain preferred environmental parameter values residents. According habits...
<title>Abstract</title> The Embedded operating system based on STC12C5A MCU is designed to facilitate real-time monitoring and control of the home environment, in order solve some problems such as low acquisition frequency, poor performance, lack feedback adaptation. Kalman filter improved k-means algorithm are used analyze big data which processed by BP neural network, then most comfortable living environment parameters can be obtained. independent mechanism adjustment achieve efficient...