- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Image Retrieval and Classification Techniques
- Topological Materials and Phenomena
- Acoustic Wave Phenomena Research
- Ideological and Political Education
- Advanced Measurement and Detection Methods
- Industrial Vision Systems and Defect Detection
- Image Processing Techniques and Applications
- Medical Image Segmentation Techniques
- Optical measurement and interference techniques
- Advanced Computing and Algorithms
- Textile materials and evaluations
- Face and Expression Recognition
- Advanced Text Analysis Techniques
- Blind Source Separation Techniques
- Advanced Graph Neural Networks
- Text and Document Classification Technologies
- Innovative Educational Techniques
- Network Security and Intrusion Detection
- Mobile Agent-Based Network Management
- Digital Holography and Microscopy
- Spectroscopy and Laser Applications
- Metamaterials and Metasurfaces Applications
- Video Surveillance and Tracking Methods
Zhengzhou University of Light Industry
2016-2025
Zhengzhou University
2023
Beijing University of Posts and Telecommunications
2022
Shandong University
2021
Tongji University
2017-2021
Zhejiang University
2019
State Key Laboratory of Modern Optical Instruments
2019
Inner Mongolia University for Nationalities
2018
Hangzhou Normal University
2009
Shanghai Eighth People Hospital
2006
Recently, there has been a pressing need to manage high-dimensional vector data in science and AI applications. This trend is fueled by the proliferation of unstructured machine learning (ML), where ML models usually transform into feature vectors for analytics, e.g., product recommendation. Existing systems algorithms managing have two limitations: (1) They incur serious performance issue when handling large-scale dynamic data; (2) provide limited functionalities that cannot meet...
Blockchain technology brings a method for cross-institution health data sharing through the systems of Internet Medical Things (IoMT). As different medical institutions compete to establish their own blockchain ledgers, it leads new problems "data island". In this paper, relay chain-based multi-chain fusion (MCF) model has been designed blockchain-enabled IoMT (BIoMT), which can achieve by composing blockchains together. MCF model, existing patient private chain, institution and government...
The tunable CO2 laser is a common pump source for optically pumped terahertz lasers. In this paper, based on sealed-off tube and grating-tuned cavity, we reported an efficient, high-power, low-cost, simple structure continuous-wave laser. A was designed customized, its plasma discharge characteristics were experimentally analyzed. influence of output coupler transmittance current the laser’s tunability power systematically studied using grating tuning. total 78 spectral lines achieved within...
The curriculum ideological and political education (CIPE) has caused the attention of China’s leaders state departments in Chinese education, but its effect assessment is still an open issue should be address for efficient effective implementation CIPE. engineering conception been widely adopted higher recent years, due to effectiveness. Therefore, this paper, under background we study CIPE quantification. We propose a system quantitative method based on achievements graduation requirements...
The flange thickness and rim inside of the wheelset are key parameters that influence wheel-rail contact. With speed continuous increase rail vehicles, wear is becoming more serious, thus accelerating changes wheelset's flanges, which will certainly bring security hidden troubles to operation railway, so it very important realize dynamic measurements thickness. This paper proposes a novel real-time measurement method wheelsets based on image processing. system triangular principle uses CCD...
The rapid development of artificial intelligence has made the convolutional neural network (CNN) more important. traditional computing architecture based on CPU can't meet requirements practical applications. Therefore, a new hardware platform for CNN becomes urgent. This paper proposes systolic array accelerator dedicated to CNN. As model requires lot simple logic operations, we optimize convolution calculation module with multiply-accumulate (MAC) array. We design three kinds mappings,...
Aiming at the slow speed and low accuracy of traditional facial expression recognition, a new method combining attention mechanism is proposed. Firstly, group convolution used to reduce network parameters. The channels are grouped cut off redundant connections so that number parameters decreases significantly. Secondly, ERFNet model was improved by asymmetric residual module weak bottleneck improve running loss accuracy. Finally, added into feature extraction recognition precision....
The human face is a research hotspot in the existing biometric technology. collection of faces affected by unpredictable factors reality, such as expression change, posture illumination, occlusion, and so on, which will reduce performance recognition system. Occluded long-standing challenging problem. There are scanty studies on occlusion issues compared with other problems. Occlusion has profound application potential at present, it imperative to deal problem effectively. first primary...
The diffraction methods were used to measure diameters of the thin wires or fibers with some advantages based on Fraunhofer principle. cotton fiber qualities was relative their diameters, such as fineness. Micronaire indirectly method evaluate qualities, so not correct. average diameter one can be measured detected by Charge Coupled Device (CCD). three varieties and preliminary experimental results showed estimate qualities.
The innovation capability largely determines the initiative for future development of a region. Higher school is main position training innovative talents. Accurate and comprehensive assessment cultivation an important basis higher schools continuous improvement. Thus, this paper focuses on assessing talent capability. First, by CIPP model (Context, Input, Process Product Evaluation), indicator system built, consisting 89 indicators in 21 categories. Then, based characteristics, uses public...
Topological insulators are characterized by exhibiting an internal insulating state but a surface conductor state, which makes them advantageous for applications in novel devices. However, most given acoustic topological metamaterials, the operating frequency is relatively fixed and effect of temperature on their properties rarely considered. Therefore, temperature-tunable insulator constructed this paper. The quadruple degenerate Dirac cone formed at
Zero-refractive index metamaterials have a wide range of applications in directional transmission and wave-front shaping due to their unusual acoustic properties. However, for most given topological metamaterials, the operating frequency is relatively fixed effect temperature on properties rarely considered. Therefore, temperature-controlled tunable zero-refraction are proposed this paper. Firstly, metamaterial with quadruple degenerate Dirac-like points at center Brillouin zone constructed,...