A5081442336- Integrated Energy Systems Optimization
- Cloud Computing and Resource Management
- Building Energy and Comfort Optimization
- IoT and Edge/Fog Computing
- Privacy-Preserving Technologies in Data
- Geothermal Energy Systems and Applications
- Cloud Data Security Solutions
- Cryptography and Data Security
- Smart Grid Energy Management
- Metaheuristic Optimization Algorithms Research
- Hybrid Renewable Energy Systems
- Evolutionary Algorithms and Applications
- Environmental Impact and Sustainability
- Energy Load and Power Forecasting
- Solid State Laser Technologies
- Advanced Computational Techniques and Applications
- Anomaly Detection Techniques and Applications
- Thermal Analysis in Power Transmission
- Video Surveillance and Tracking Methods
- Caching and Content Delivery
- Data Management and Algorithms
- Image Enhancement Techniques
- Advanced Optical Sensing Technologies
- Advanced Image Fusion Techniques
- Human Pose and Action Recognition
Harbin Institute of Technology
2016-2025
Ministry of Industry and Information Technology
2018-2025
Shanxi University of Finance and Economics
2021-2024
Wuhan Municipal Engineering Design & Research Institute
2024
Hangzhou Dianzi University
2022-2023
Wuhan Ship Development & Design Institute
2021-2022
Chang'an University
2020
Guangdong Institute of Intelligent Manufacturing
2018-2019
Hubei University of Technology
2019
Optica
2018
We report on rare-earth-doped fluoride nanoparticles with a long lifetime and intense infrared emission in the second biological window for <italic>in vivo</italic> luminescence imaging.
With China’s socio-economic growth, the demand for enhanced residential comfort in northern urban areas has surged. Traditional district heating systems often fail to meet modern users’ diverse needs, leading inefficiencies and significant heat loss. This paper investigates optimization transformation methods demand-side-oriented systems. We propose key design parameters that facilitate a shift from source-end demand-end dominance develop bi-level planning model operational scheduling. The...
With the advent of cloud computing, data owner is motivated to outsource their platform for great flexibility and economic savings. However, development hampered by privacy concerns: Data may have cannot be outsourced directly. Previous solutions mainly use encryption. encryption causes a lot inconveniences large overheads other operations, such as search query. To address challenge, we adopt hybrid cloud. In this paper, present suit novel techniques efficient privacy-aware retrieval. The...
Abstract Plant diseases are common factors restricting crop yield and quality. For individuals without training, it is still difficult to identify various accurately because many leaf similar in colour, shape other aspects. Requiring an expert diagnosis can cause delays lead increasing costs. Therefore, this paper proposes improved convolutional neural network for recognition of tomato diseases. The experimental dataset was from the publicly available PlantVillage. Based on original ResNet18...
Storage as a service has become an important paradigm in cloud computing for its great flexibility and economic savings. However, the development is hampered by data privacy concerns: owners no longer physically possess storage of their data. In this work, we study issue privacy-preserving set-valued publishing. Existing techniques (such encryption, suppression, generalization) are not applicable many real scenes, since they would incur large overhead query or high information loss....
Well-defined ZnO nanowire (NW) arrays with controlled dendritic structures were successfully built on a stainless steel mesh and utilized as photoanodes for the fabrication of large-area, flexible dye-sensitized solar cells (DSSCs). The nanostructure proves favorable improvement overall light conversion efficiency DSSC. An optimized etching time affixion seeds backbone "tree" growth conditions branch NW are critical to achieve high cells.