A5112133226- Smart Grid and Power Systems
- Remote-Sensing Image Classification
- Advanced Fiber Optic Sensors
- Advanced Computational Techniques and Applications
- Electric Power System Optimization
- Power Systems and Technologies
- Power Systems and Renewable Energy
- Semiconductor Lasers and Optical Devices
- Electrochemical sensors and biosensors
- Energy Load and Power Forecasting
- Machine Learning and ELM
- Image Processing Techniques and Applications
- Educational Technology and Assessment
- Microgrid Control and Optimization
- Analytical Chemistry and Sensors
- Smart Grid Security and Resilience
- Electricity Theft Detection Techniques
- Transport and Economic Policies
- Innovative Educational Techniques
- Empathy and Medical Education
- Vehicle License Plate Recognition
- Biomedical and Engineering Education
- Hybrid Renewable Energy Systems
- Power System Optimization and Stability
- Military Strategy and Technology
North China Electric Power University
2007-2024
Xidian University
2023-2024
PowerChina (China)
2024
Guangxi Medical University
2022-2024
Guangdong University of Technology
2024
Hong Kong Polytechnic University
2023-2024
Zunyi Medical University
2010-2015
Anomaly detection (AD) has attracted remarkable attention in hyperspectral image (HSI) processing fields, most existing deep learning (DL) based algorithms indicate dramatic potential for detecting anomaly samples through specific training process under current scenario. However, the limited prior information and catastrophic forgetting problem crucial challenges DL structure open scenarios cross-domain detection. In order to improve performance, a novel capsule differential adversarial...
Deep learning (DL) algorithms have demonstrated important breakthroughs for hyperspectral image (HSI) classification. Despite the remarkable success of DL, burden a manually designed DL structure with increased depth and size aroused difficulty application in mobile embedded devices real application. To tackle this issue, paper, we proposed an efficient lightweight attention network architecture search algorithm (EL-NAS) realizing automatic design as well improving classification performance...
Rayleigh scattering-based distributed optical fiber sensors with long sensing distance and large dynamic range are highly desired for application scenarios such as vehicle tracking, structure health monitoring, geological survey. To enlarge the range, we propose a coherent time domain reflectometry (COTDR) based on double-sideband linear frequency modulation (LFM) pulse. By utilizing I/Q demodulation, both positive negative band of backscattering (RBS) signal can be properly demodulated....
The water supply forecasting is of great use both for the decision-making and management plan, security social basic lives. But due to restriction on getable data complexity flow, has indeed formed a typical nonlinear regression problem, which still unsolved by traditional methods. To solve above novel model based Developed LS-SVM presented, where two algorithms are integrated with each other 1) Least Squares Support Vector Machines (LS-SVM) algorithm special adaptability advantage in...
Credit assessment is crucial for the marketing of power distribution enterprises in electricity market. But credit on clients belongs to typical multi-classification and still unsolved, due small-sampled problem So this work aims at proposing a novel model electric consumers based least squares support vector machines (LS-SVM). In proposed work, multi-pattern identification consumer credits accomplished by LS-SVM that builds nonlinear mapping indexes corresponding scores implemented linear...
The peak load regulation in the area A mainly depends on coal-fired generating units. With rapid growth of new energy, peak-regulation situation becomes more severe. Based this background, starting with improvement generation-grid-load-storage flexibility, an optimization model aiming at lowest total power generation cost system is constructed, and SPER-PROS was used to simulate operation region during Fourteenth Five-Year Plan. above model, eight typical scenarios that meet resources are...
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The cultivation of medical talents is the main goal postgraduate training. Zunyi Medical University innovates many aspects education, including student sources, spirit scientific research, curriculum setting, assessment mechanism and quality control, etc. It fo-cuses on cultivating students' practical innovative abilities through developing professional-typed constructing excellent courses, boosting core competitiveness. Key words: Education cultivation; Postgraduate with professional...
This article found that the actual situation about humanities education of medical postgraduates is not optimistic through investigation on in Zunyi Medical College. Some prominent problems existed. also proposed some practical suggestions to solve based analysis this phenomenon, so as improve and cultivate be workers with full humanistic care. Key words: Medical postgraduates; Humanities education; Situation intellection
Since the electricity market came into being, price volatility is along a difficult and unavoidable problem that makes participants face with great risks. But due to short development of deregulation, its relative data are insufficient, then researches have become typical small-sampled problem. No doubt, such condition restricted application generalization ability traditional methods. Then analysis on focused hot in research fields market. To solve above problems, novel model for proposed by...