A5101920054- Advanced DC-DC Converters
- Multilevel Inverters and Converters
- Advanced Algorithms and Applications
- Industrial Technology and Control Systems
- Advanced Sensor and Control Systems
- Microgrid Control and Optimization
- Advanced Computational Techniques and Applications
- Rough Sets and Fuzzy Logic
- Face and Expression Recognition
- Simulation and Modeling Applications
- Electrochemical sensors and biosensors
- Control Systems in Engineering
- Hydraulic and Pneumatic Systems
- Probiotics and Fermented Foods
- Silicon Carbide Semiconductor Technologies
- Electrochemical Analysis and Applications
- Phytochemicals and Antioxidant Activities
- Power Systems and Technologies
- Remote Sensing and Land Use
- Real-time simulation and control systems
- Hydrocarbon exploration and reservoir analysis
- Gut microbiota and health
- Neurological Disease Mechanisms and Treatments
- Power Systems and Renewable Energy
- Sensorless Control of Electric Motors
Harbin Institute of Technology
2012-2025
Tsinghua University
2025
Chinese Academy of Agricultural Sciences
2017-2024
Jiangxi Normal University
2007-2024
Stomatology Hospital
2024
Zhejiang University
2011-2024
Shandong University of Science and Technology
2020-2024
Hebei University of Chinese Medicine
2023-2024
Nanchang University
2007-2024
Northwest A&F University
2024
A novel soft-switching hybrid converter combining the phase-shift full-bridge (FB) and half-bridge (HB) LLC resonant converters' configuration with shared zero-voltage switching (ZVS) lagging leg is proposed to ensure switches in operating at fully ZVS condition. The dual outputs of FB-HB are connected series whole dc-output voltage can be regulated by PWM control within desired range. circuit used secondary side FB reset primary current during freewheeling period, as well transfer more...
In this paper, various kinds of applications are presented, in which tomographic image data depicting microstructures materials semantically segmented by combining machine learning methods and conventional processing steps. The main focus paper is the grain-wise segmentation time-resolved CT an AlCu specimen was obtained between several Ostwald ripening poorly visible grain boundaries 3D were enhanced using convolutional neural networks (CNNs). CNN architectures considered a 2D U-Net,...
Deep learning (DL) models have been widely used for remote sensing-based landslide mapping due to their impressive capabilities automatic information extraction. However, the large volumes of parameters and calculations compromised efficiency DL in extracting landslides from a set RS images. Lightweight convolutional neural networks (CNNs) exhibit promising feature representation abilities with fewer parameters. This study aims introduce new lightweight CNN called MS2LandsNet, designed...
In this paper, a new cascade active-front-end converter based on dual-boost/buck converters is proposed for an intelligent universal transformer (IUT), which allows adjusting the power factor to control both active and reactive powers between medium low voltage levels. Compared traditional H-bridge converter, it has much enhanced system reliability owing no shoot-through problems lower switching loss with help of using MOSFETs. addition, unified scheme active-reactive individual balancing...
Abstract Background Depression is a serious mental disorder and the most prevalent cause of disability suicide worldwide. Chronic unpredictable mild stress (CUMS) can lead to significant acceleration depression development. Quercetin (Que) flavonoid compound with wide range pharmacological effects. Recent studies have shown that quercetin improve CUMS‐induced depression‐like behavior, but mechanism its improvement still unclear. α2δ‐1 regulatory subunit voltage‐gated calcium channel, which...
Abstract ROP GTPases are crucial for the establishment of cell polarity and controlling responses to hormones environmental signals in plants. In this work, we show that ROP3 plays important roles embryo development auxin-dependent plant growth. Loss-of-function dominant-negative (DN) mutations induced a spectrum similar defects starting with altered division patterning during early embryogenesis postembryonic auxin-regulated growth developmental responses. These resulted distorted...
As a useful data augmentation technique, generative adversarial networks have been successfully applied in fault diagnosis field. But traditional can only generate one category signals time, which is time-consuming and costly. To overcome this weakness, we develop novel method combines conditional stacked autoencoders, both of them are built by stacking one-dimensional full connection layers. First, used to artificial samples based on the frequency samples, labels adopted as information...
We investigated the efficacy of a single bacterium strain, Bacillus subtilis (B. subtilis) YW1, on performance, morphology, cecal microbiota, and intestinal barrier function laying hens. A total 216 28-week-old Hy-line Brown hens were divided into three dietary treatment groups, with six replicates 12 birds each for 4 weeks. The control group (Ctr) was fed basal diet T1 T2, supplemented B. at dose rate 5 × 108 CFU/kg 2.5 109 CFU/kg, respectively. Dietary supplementation did not significantly...
Abstract A high proportion of renewable energy is connected to the current power grid through electronics interface devices, which makes system have low‐inertia dynamic characteristics. In order improve inertial response and voltage supporting capability, this article proposes a third‐order model synchronous generator based active support control strategy for transformer (PET) on single multi‐winding medium‐frequency (MWMFT) AC choppers (ACCs) generation. First, structure (MWMFPET)...
The extensive interconnection and intelligent collaboration of multi-source heterogeneous devices in the industrial Internet environment have significantly improved efficiency production resource utilization. However, at same time, deployment characteristics open-network architecture promotion concept deep integration OT/IT led to an exponential growth attacks on Internet. At present, most detection methods for internet use learning. due black-box caused by complex structure learning models,...
Electric load simulator (ELS) is a resonant system and has large coefficient caused by the stiffness of shaft. Its dynamic performance always limited stability hard to be guaranteed. Besides, its external disturbance active motion an actuator, output torque, which are both different from conventional servo systems. Therefore, speed controller ELS needs specially designed. In this paper, for proposed improve ELS. The consists three control terms: proportional (P) term, reference feedforward...
To better understand how the folate receptor (also known as membrane binder) is able to deliver 5-methyltetrahydrofolic acid cytoplasm of folate-depleted MA104 cells, we have examined kinetics movement from cell surface into cytoplasm. Bound was transferred an acid-resistant compartment at rate 0.9-1.0 pmol/10(6) cells per h. This appeared in same rate. Furthermore, cytoplasmic became polyglutamated 0.6-0.7 As soon intracellular 5-methyltetrahydrofolate reached 5-7 however, accumulation...
Maize silage has a significant environmental impact on livestock due to its high requirement for fertilizer and water. Mulberry the potential replace much of large amount maize grown in China, but feeding value conserved form needs be evaluated. We fed Hu lambs diets with 20–60% replaced by mulberry silage, adjusting soybean meal content when increasing inclusion rate an attempt balance crude protein diets. had higher lower acidic neutral detergent fiber contents compared silage. Replacing...
In order to effectively suppress surplus torque, realizing high precision loading, this paper applies proportional resonant (PR) control the load torque of electric simulator (ELS), and analyzes optimizes stability dynamic performance ELS. The mathematical model ELS is built in z-domain first paper, establish foundation for designing analyzing PR controller. with controller analyzed through Nyquist diagrams, optimized by reasonably phase compensation angle pole-zero plots, gain designed...
Accurate feeding control in aquaculture using fish behavior state is key to improving feed utilization efficiency and reducing water pollution. A hybrid method based on ResNet34-CBAM migration learning proposed this paper achieve tilapia classification. In order enhance the diversity of samples, pre-processing, such as scaling cropping, adding noise, was performed images. An underwater camera used for taking pictures behavior, followed by feature extraction a pre-trained ResNet34 residual...