A5100726530- Rough Sets and Fuzzy Logic
- Data Mining Algorithms and Applications
- Text and Document Classification Technologies
- Advanced Computational Techniques and Applications
- Image Processing and 3D Reconstruction
- Neural Networks Stability and Synchronization
- Neural Networks and Applications
- Anomaly Detection Techniques and Applications
- Nonlinear Dynamics and Pattern Formation
- Advanced battery technologies research
- stochastic dynamics and bifurcation
- Supercapacitor Materials and Fabrication
- Fuzzy Logic and Control Systems
- Advanced Neural Network Applications
- Data Management and Algorithms
- Advancements in Battery Materials
- Advanced Steganography and Watermarking Techniques
- Geoscience and Mining Technology
- Face and Expression Recognition
- Smart Grid Energy Management
- Advanced Image and Video Retrieval Techniques
- Microgrid Control and Optimization
- Image and Signal Denoising Methods
- Integrated Energy Systems Optimization
- Machine Learning and ELM
Tongji University
2008-2025
Inner Mongolia Electric Power (China)
2025
National Yang Ming Chiao Tung University
2022-2024
Wuhan University
2006-2024
Xiamen University of Technology
2015-2024
China Southern Power Grid (China)
2022-2024
National Taiwan University
2018-2024
Hohai University
2022-2024
Nanjing University of Science and Technology
2024
Southwest Petroleum University
2024
Abstract Compared with Zn 2+ , the current mainly reported charge carrier for zinc hybrid capacitors, small-hydrated-sized and light-weight NH 4 + is expected as a better one to mediate cathodic interfacial electrochemical behaviors, yet has not been unraveled. Here we propose an -modulated cationic solvation strategy optimize spatial distribution achieve dynamic /NH co-storage boosting Zinc capacitors. Owing hierarchical solvated structure in Zn(CF 3 SO ) 2 –NH CF electrolyte, high-reactive...
At present, drone delivery systems usually function only in global positioning system (GPS)-friendly environments and thus cannot deliver goods into customers' houses, which is an element of urban last-mile delivery. In this study, we investigated solutions for enabling drones to fly autonomously mixed indoor–outdoor environments. We propose a novel Internet Things (IoT)-based system, namely DroneTalk, mail DroneTalk combines GPS, inertial measurement unit, visual information achieve...
Abstract Mn‐based oxides promise high energy density and low toxicity cathodes for aqueous zinc‐ion batteries (ZIBs) but suffer from complex irreversible phase transitions, accompanied by continuous disproportionation reactions manganese dissolution. Tailor‐made reversible robust crystal structure in material is crucial challenging. Here a controllable electrochemical oxidation induced transition strategy developed the transformation of cubic α ‐Mn 2 O 3 into amorphous Zn 0.17 MnO 2−n ·0.52H...
Collecting training data from the physical world is usually time-consuming and even dangerous for fragile robots, thus, recent advances in robot learning advocate use of simulators as platform. Unfortunately, reality gap between synthetic real visual prohibits direct migration models trained virtual worlds to world. This paper proposes a modular architecture tackling virtual-to-real problem. The proposed separates model into perception module control policy module, uses semantic image...
Manganese superoxide dismutase (MnSOD) is a primary antioxidant enzyme necessary for the survival of aerobic life. Previously, we demonstrated that specificity protein 1 (Sp1) essential basal transcription MnSOD gene. We also identified nucleophosmin (NPM), an RNA-binding protein, as important co-activator NF-kappaB in induction by cytokine and tumor promoter. Here, using chromatin immunoprecipitation (ChIP) analysis, demonstrate Sp1 NPM interact vivo to enhance NF-kappaB-mediated induction....
A multi-energy microgrid (MEMG) aims to simultaneously supply electricity and thermal energy customers for higher utilisation efficiency. In this study, a system-wide coordinated operation method MEMGs is proposed dispatch different components including generation resources flexible loads. the coordination method, coupling constraints of electrical heat network, dynamic characteristics network as well power flow are comprehensively modelled. Besides, price-based demand response indoor...
We aim at providing the object detection community with an efficient and performant detector, termed YOLO-MS. The core design is based on a series of investigations how convolutions different kernel sizes affect performance objects scales. outcome new strategy that can strongly enhance multi-scale feature representations real-time detectors. To verify effectiveness our strategy, we build network architecture, train YOLO-MS MS COCO dataset from scratch without relying any other large-scale...
This paper presents a novel application of half-bridge series-parallel resonant converter (HBSPRC) for dc source and secondary battery interface. The practically eliminates both low- high-frequency current ripple on the battery, thus maximizing life without penalizing volume charger circuit. Moreover, operation above resonance is preferred, because power switches turn at zero voltage; thus, freewheeling diodes do not need to have very fast reverse-recovery characteristics. proposed circuit...
Sign language recognition plays an important role in real-time sign translation, communication for deaf people, education and human-computer interaction. However, vision-based faces difficulties such as insufficient data, huge network models poor timeliness. We use VTN (Video Transformer Net) to construct a lightweight translation network. the dataset called CSL_BS (Chinese Language-Bank Station) two-way train isolated compares it with I3D (Inflated three Dimension). Then are respectively...
The random forest is a combined classification method belonging to ensemble learning. also an important machine learning algorithm. universally applicable most data sets. However, the difficult deal with uncertain data, resulting in poor results. To overcome these shortcomings, broad granular algorithm proposed by studying theory of computing and idea breadth. First, we granulate breadth relationship between features sets samples then form vector. In addition, operation rules vector are...