A5101499468- Iron and Steelmaking Processes
- Geophysical Methods and Applications
- Mineral Processing and Grinding
- Advanced Control Systems Optimization
- Fault Detection and Control Systems
- Ultrasonics and Acoustic Wave Propagation
- Metallurgical Processes and Thermodynamics
- Opinion Dynamics and Social Influence
- Microwave Imaging and Scattering Analysis
- Complex Network Analysis Techniques
- Building Energy and Comfort Optimization
- Control Systems and Identification
- Antenna Design and Optimization
- Geoscience and Mining Technology
- Antenna Design and Analysis
- Advanced SAR Imaging Techniques
- Advanced Sensor and Control Systems
- Radio Wave Propagation Studies
- Analytical chemistry methods development
- Acoustic Wave Resonator Technologies
- Nonlinear Dynamics and Pattern Formation
- Adaptive Control of Nonlinear Systems
- Advanced DC-DC Converters
- Metal Extraction and Bioleaching
- Rock Mechanics and Modeling
University of Science and Technology Beijing
2016-2025
Ningbo University
2023-2024
ITMO University
2023
Jiangnan University
2014-2022
Second People's Hospital of Yunnan Province
2018-2020
Kunming Medical University
2018-2020
Shandong Institute of Automation
2018
Ministry of Education of the People's Republic of China
2010-2014
University of California, Los Angeles
2010-2012
China Coal Research Institute (China)
2011
Semantic segmentation by using remote sensing images is an efficient method for agricultural crop classification. Recent solutions in are mainly deep-learning-based methods, including two mainstream architectures: Convolutional Neural Networks (CNNs) and Transformer. However, these architectures not sufficiently good the task due to following three reasons. First, ultra-high-resolution need be cut into small patches before processing, which leads incomplete structure of different categories’...
Abstract In this work, we focus on distributed model predictive control of large scale nonlinear process systems in which several distinct sets manipulated inputs are used to regulate the process. For each set inputs, a different controller is compute actions, able communicate with rest controllers making its decisions. Under assumption that feedback state available all at sampling time and plant available, propose two architectures. first architecture, use one‐directional communication...
This work focuses on the development of a supervisory model predictive control method for optimal management and operation hybrid standalone wind-solar energy generation systems. We design system via which computes power references wind solar subsystems at each sampling time while minimizing suitable cost function. The are sent to two local controllers drive requested references. discuss how incorporate practical considerations, example, extend life equipment by reducing peak values inrush...
In this work, we focus on iterative distributed model predictive control (DMPC) of large-scale nonlinear systems subject to asynchronous, delayed state feedback. The motivation for studying problem is the presence measurement samplings in chemical processes and potential use networked sensors actuators industrial process applications improve closed-loop performance. Under assumption that there exist upper bounds time interval between two successive measurements maximum delay, design an DMPC...
This article presents a novel reduced order average model for dual-active-bridge converter which can be applied to all modulation methods, such as single-phase-shift modulation, dual-phase-shift extended-phase-shift and triple-phase-shift modulation. considers conduction, inductance, transformer power losses. Furthermore, the input-output filters are suitable system performance analysis. Based on large-signal model, small-signal output transfer function derived. The detailed predicting...
The burden distribution process is an important and efficient measure to maintain the stable operation of blast furnace. An accurate model will reveal impact on internal furnace state help optimize production index. This article reviews recent development modeling control techniques in process. current methods can mainly be divided into following types: mechanism-based method, physical scale model-based experiments data-driven method. However, most existing are not applicable general...
Harsh environment in Blast Furnace (BF) poses a big challenge for metallurgical industrial radar measurement of burden surface ore and coke. The improved signal processing algorithm enhances the real-time performance. Antenna is specially designed continuous stable acquirement, high temperature resistance anti-dust ability. experiment results illustrate that single meets accuracy requirement solid bulk material. A new BF Burden Surface Measuring System developed 3-D imaging. Distributed...
Accurate measurement of the position and shape blast furnace (BF) burden surface (BS) is crucial for automated intelligent BF control. The detection method based on key points BS can improve accuracy radar in challenging environments with strong interference, ensuring long-term stability across long maintenance intervals. However, transferring a successfully applied model from original to new target requires sufficient sample collection retraining. In practical scenario, data often...
Mesenchymal stem cells (MSCs) are thought to have great potential in the therapy of acute liver injury. It is possible that these may be regulated by stromal cell-derived factor-1 (SDF-1)/CXC chemokine receptor-4 (CXCR4) signaling axis, which has been shown promote migration inflammation-associated diseases. However, effects SDF-1/CXCR4 axis on MSCs-transplantation-based treatment for injury and underlying mechanisms largely unknown. In this study, we sought determine whether would augment...
Accurately capturing the burden surface information of a blast furnace (BF) is helpful to adjust distribution matrix and improve gas flow distribution, which essential in steel smelting industry. However, it difficult detect because high temperature, pressure, dust flame combustion environment condition inside BF, addition fluidization characteristics surface. With fusion high-temperature metallurgy, radar detection image processing, new BF deep-learning system based on energy weight was...