A5070194028- Scheduling and Optimization Algorithms
- Photoacoustic and Ultrasonic Imaging
- Service-Oriented Architecture and Web Services
- Advanced Manufacturing and Logistics Optimization
- Information Technology Governance and Strategy
- Advanced Fluorescence Microscopy Techniques
- Optimization and Packing Problems
- ERP Systems Implementation and Impact
- Metaheuristic Optimization Algorithms Research
- Advanced Electron Microscopy Techniques and Applications
- Nanoplatforms for cancer theranostics
- Optical Coherence Tomography Applications
- Process Optimization and Integration
- Spectroscopy Techniques in Biomedical and Chemical Research
- Thermography and Photoacoustic Techniques
Chinese Academy of Sciences
2019
TPV Technology (China)
2019
Shenzhen Institutes of Advanced Technology
2019
Sichuan University
2015-2017
A dual modality microscopy with the highest imaging resolution reported so far based on reflection-mode photoacoustic and confocal fluorescence is presented in this study. The unique design of head microscope makes it highly convenient for scalable high-resolution by simply switching optical objectives. submicron performance system demonstrated via vivo zebrafish, normal mouse ear, a xenograft tumor model inoculated ear. results confirm that dual-modality could play vital role observing...
Multicolor fluorescence microscopy has proved essential in biological studies. However, the application of conventional multicolor to imaging subcellular organelles is restricted by its diffraction-limited spatial resolution. Re-scan confocal (RCM), a novel super-resolution technique, can effectively address this problem. previous RCM methods usually led mismatch images due sequential scanning sample with multiple excitation lasers.We present new system achieve imaging. A spectrograph was...
This paper proposes an information system framework for production collaboration and standardization in Chinese liquor industry, examines the key implementation issues of systems production. A descriptive single case study is conducted to explore identify benefits, challenges, success factors by taking a famous producer as target company. The shows that proposed helpful improve Some benefits challenges implementing are different from those described previous studies because various distinct,...
This paper addressed an integrated production and transportation scheduling problem in a global MTO supply chain environment with single manufacturer, multiple customers modes. A mixed integer nonlinear programming model is established. heuristic algorithm based on forward proposed to handle the model. Based real industrial data, performance of compared performances generated by 3 methods including genetic algorithm. The comparison results show that algorithms better than methods.
This paper investigated a supply chain scheduling problem involving production and distribution operations complicated realistic features A memetic algorithm-based optimization model is proposed to handle this problem. The effectiveness of the demonstrated by extensive numerical experiments based on real industrial data. Experimental results demonstrate model.