A5003433760- Microbial Metabolic Engineering and Bioproduction
- Viral Infectious Diseases and Gene Expression in Insects
- Advanced Image Fusion Techniques
- Advanced Control Systems Optimization
- Functional Brain Connectivity Studies
- Image Enhancement Techniques
- Mechanical Behavior of Composites
- Handwritten Text Recognition Techniques
- EEG and Brain-Computer Interfaces
- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Electric Motor Design and Analysis
- Advanced Welding Techniques Analysis
- Magnetic Bearings and Levitation Dynamics
- Gene Regulatory Network Analysis
- High-Temperature Coating Behaviors
- Fire dynamics and safety research
- Combustion and Detonation Processes
- Sensorless Control of Electric Motors
- Aluminum Alloy Microstructure Properties
- Natural Language Processing Techniques
- Flame retardant materials and properties
- Metallurgy and Material Forming
- Model Reduction and Neural Networks
- Age of Information Optimization
Dalian Minzu University
2017-2024
Dalian University of Technology
2011-2023
Sungkyunkwan University
2023
Shanxi University
2023
Wuhan University of Technology
2022
Northwestern Polytechnical University
2020-2021
Nanjing University of Science and Technology
2019-2020
Qingdao University of Science and Technology
2019
Qingdao Center of Resource Chemistry and New Materials
2019
Jilin University
2018
Here we first present a novel cathode material of α-Ag2S for rechargeable Mg batteries. Due to the unique cation displacement reaction mechanism and in situ generated uniformly distributed silver matrix, nanostructures deliver remarkably improved magnesiation kinetics compared conventional transition metal sulfides.
Abstract ZnO is modified by Cu 2 O the process of precipitation and calcination. X-ray diffraction has shown that O/ZnO catalysts are made highly purified cubic hexagonal ZnO. Scanning electron microscopy transmission have adhered to surface O. Due doping O, absorption range catalyst shifted from ultraviolet visible region due diffuse reflection. photoelectron spectroscopy photoluminescence spectra confirmed there a substantial interaction between two phases resultant catalyst. The...
The effects of 4 wt% rhenium (Re) addition on isothermal oxidation behavior Tribaloy T-800 alloy have been studied at 800 °C and 1 000 in air. At °C, shows nonuniform between dendritic eutectic areas. Re clearly promotes the oxidation, leading to considerably higher mass gains than that this temperature. exposure, thickness scale increases significantly, accompanied by severe spallation during cooling room On contrary, T-800Re a marked decrease oxide growth rate compared linear one °C....
Uyghur text recognition faces several challenges in the field due to scarcity of publicly available datasets and intricate nature script characterized by strong ligatures unique attributes. In this study, we propose a unified three-stage model for language recognition. The is developed using self-constructed dataset, enabling evaluation previous modules as well exploration novel module combinations previously unapplied recognition, including Convolutional Recurrent Neural Networks (CRNNs),...
The existing infrared and visible image fusion methods typically apply small kernel convolution that can extract local information or details of the source images but cannot easily perceive their global information. This article proposes a lightweight large network for fusion, L2Net, primarily comprising three parts: shallow feature extraction, deep fused reconstruction. extraction part extracts initial features input images, outputs final from using (LKFE) modules. LKFE contains attention...
Image fusion is indispensable in a comprehensive medical imaging pipeline. By embracing deep learning technology, image has achieved tremendous progress over the past few years. However, existing approaches make efforts on specific type of task and may face difficulties generalizing well. Moreover, most them strain every nerve to design various architectures with an increase width depth, placing obstacle running efficiency. To address above problems, we propose Auto-searching Light-weighted...
In batch culture of glycerol biodissimilation to 1,3‐propanediol (1,3‐PD), the aim adding is obtain as much 1,3‐PD possible. Taking yield intensity performance index and initial concentration biomass, glycerol, terminal time control vector, we propose an optimal model subject a multistage nonlinear dynamical system constraints continuous state. A computational approach constructed seek solution above model. Firstly, transform problem into one with fixed time. Secondly, transcribe...
These days, computational diagnosis strategies of neuropsychiatric disorders are gaining attention day by day. It's critical to determine the brain's functional connectivity based on Functional-Magnetic-Resonance-Imaging(fMRI) diagnose disorder. known as a chronic disease, and millions children amass symptoms this so there is much vacuum for researcher formulate model improve accuracy ADHD accurately. In paper, we consider brain extracted using various time templates/Atlases. Local-Binary...
Purpose – The purpose of this paper is to identify the key parameters that control bonding formation foils by ultrasonic consolidation (UC) process and build correlations among operating conditions through concept “process map”. Design/methodology/approach map” proposed based on diffusion mechanism for UC process, numerical simulations have been applied predict peak temperature plastic strain at contact interface considering a wide range conditions. Findings This map reveals requires good...
The machine's parameter changes due to the working condition. While inaccurate parameters can lead abnormal control performance of electrical machine. This paper proposes an online inductance and field current estimation method combining Maximum Torque per Ampere (MTPA) Control Strategy for three-stage wound-rotor synchronous rotor/generator (WRSSG). By using extended Kalman filter (EKF), instantaneous are estimated, then used in MTPA calculation. mathematical equations established analyzing...
In this paper, we consider a nonlinear hybrid dynamic (NHD) system to describe fed-batch culture where there is no analytical solutions and equilibrium points. Our goal prove the strong stability with respect initial state for NHD system. To end, construct corresponding linear variational (LVS) solution of system, also boundedness fundamental matrix LVS. On basis, proved by such boundedness.
Visual segmentation based on the meaning of Uyghur text is an important process dynamic character retrieval, It also provides great convenience for workers who learn and understand Uygur language first time. To address challenges strong continuity high similarity in handwritten text, which make effective difficult, we propose efficient lightweight model Detection segmentation, Deeplabv3+ network convolutional neural networks. Our experiment selects 100 common words language, collects a total...
Rain is a common weather phenomenon, and the challenge of removing rain streaks from single image crucial due to its detrimental impact on quality extraction valuable background information. Existing methods commonly rely specific assumptions regarding models, which restricts their ability accommodate wide range real-world scenarios. To overcome this limitation, these often require complex optimization techniques or stepwise refinement strategies. In paper, we propose novel rectangular...
Single-cell RNA sequencing (scRNA-seq) is now a successful technology for identifying cell heterogeneity, revealing new subpopulations, and predicting developmental trajectories. A crucial component in scRNA-seq the precise identification of subsets. Although many unsupervised clustering methods have been developed performance these prone to be affected by dropout, high dimensionality, technical noise. Additionally, most existing are time-consuming fail fully consider potential correlations...
Over the years, many methods have emerged to solve super-resolution problem of light field images, and among them, those based on deep learning are noted quite attractive recently. Although features extracted from epipolar domain for images actively investigated due their potential capability well capturing relationship between spatial angular domains, we note that still most important foundation in feature extraction. In this paper, design a network, named as LFSelectSR, employing multiple...