A5026907438- Advanced Algorithms and Applications
- Energy Efficient Wireless Sensor Networks
- Medical Imaging and Analysis
- Advanced Sensor and Control Systems
- Industrial Technology and Control Systems
- Radiomics and Machine Learning in Medical Imaging
- Sensorless Control of Electric Motors
- Image and Signal Denoising Methods
- Advanced Control Systems Design
- Multilevel Inverters and Converters
- Underwater Vehicles and Communication Systems
- UAV Applications and Optimization
- Advanced Computational Techniques and Applications
- Energy Load and Power Forecasting
- Medical Research and Treatments
- Electric Motor Design and Analysis
- Advanced X-ray and CT Imaging
- Magnetic Properties and Applications
- Dental Radiography and Imaging
- Piezoelectric Actuators and Control
- Silicon Carbide Semiconductor Technologies
- Robotic Path Planning Algorithms
- Opportunistic and Delay-Tolerant Networks
- Water Quality Monitoring Technologies
- Iterative Learning Control Systems
Guizhou University
2008-2024
Bridge University
2024
Shenzhen Pingle Orthopedic Hospital
2024
Beijing Jishuitan Hospital
2024
Peking University
2024
Institute of Electrical Engineering
2010-2011
A permanent magnet synchronous motor (PMSM) is a nonlinear, strongly coupled, controlled object with time-varying, fractional-order characteristics. It difficult to achieve the ideal control effect by using traditional method when parameter changes and load perturbations occur during operation of PMSM, so adaptive fuzzy backstepping proposed improve system’s fast response anti-jamming ability in case sudden rotational speed, other conditions. Initially, fractional order theory introduced,...
In the water area monitoring of traditional wireless sensor networks (WSNs), data are mostly transmitted to base station through multihop. However, there many problems in multihop transmission networks, such as energy hole, uneven consumption, unreliable transmission, and so on. Based on high maneuverability unmanned aerial vehicles (UAVs), a mobile collection scheme is proposed, which uses UAV sink node WSN transmits wirelessly collect efficiently flexibly. order further reduce consumption...
Tradition wireless sensor networks (WSNs) transmit data by single or multiple hops. However, some nodes (SNs) close to a static base station forward more frequently than others, which results in the problem of energy holes and makes fragile. One promising solution is use mobile node as sink (MS), especially useful energy‐constrained networks. In these applications, tour planning MS key guarantee network performance. this paper, novel strategy proposed reduce latency gathering WSN while...
The study of human torso medical image segmentation is significant for computer-aided diagnosis examination, disease tracking, and prevention treatment. In this paper, two application tasks are designed images: the abdominal multi-organ task spine task. For reason, paper proposes a net-work model CI-UNet improve accuracy edge segmentation. U-shaped network structure consisting encoding decoding networks. Firstly, it replaces UNet’s double convolutional backbone with VGG16 loaded Transfer...
<title>Abstract</title> The spine is essential for supporting the human body and maintaining its functions. In primary healthcare settings, radiologist shortages medical resource scarcity often result in spinal fracture misdiagnoses oversights. This paper introduces a segmentation method utilizing heat map regression an enhanced UNet, aiding radiologists swiftly diagnosing fractures enhancing diagnostic efficiency. During landmark positioning, this presents M-SCN network structure designed...
<title>Abstract</title> When the random pulse width modulation (RPWM) technique is applied to insulated gate bipolar transistor (IGBT) modules, switching losses are decreased different degrees. In order study principle of this control method, paper starts from perspective Joule heating principle. According energy and characteristics IGBT module during on-state off-state processes, effects techniques on analyzed corresponding theoretical models established. Experimenting in a three-phase...
The scoliosis report is a diagnosis made by the clinician looking at X-ray images of spine. However, with numerous images, writing can be time-consuming and error-prone. Therefore, this paper proposes an automatic generation model end-to-end Lenke classification report. automatically generates short diagnostic text to explain results classifiers’ scoliosis. Instead reproducing original report, described as sentence significance. In model, CBAM attention module added residual’s path ResNet-50...