- Advanced Surface Polishing Techniques
- Advanced machining processes and optimization
- Adversarial Robustness in Machine Learning
- IoT Networks and Protocols
- Digital Transformation in Industry
- Satellite Communication Systems
- Gyrotron and Vacuum Electronics Research
- Microwave Engineering and Waveguides
- IoT and Edge/Fog Computing
- Space Satellite Systems and Control
- Advanced Measurement and Metrology Techniques
- Mobile Crowdsensing and Crowdsourcing
- Reinforcement Learning in Robotics
- Privacy-Preserving Technologies in Data
- Bacillus and Francisella bacterial research
- Manufacturing Process and Optimization
- Handwritten Text Recognition Techniques
- UAV Applications and Optimization
- Laser Material Processing Techniques
- Anomaly Detection Techniques and Applications
- Advanced Optical Sensing Technologies
- Vehicle License Plate Recognition
- Advanced Machining and Optimization Techniques
- Traffic Prediction and Management Techniques
- Diamond and Carbon-based Materials Research
State Ethnic Affairs Commission
2025
National University of Defense Technology
2016-2024
University of Electronic Science and Technology of China
2023
Jilin University
2023
Beijing University of Posts and Telecommunications
2020-2022
China Academy of Space Technology
2022
Wuhan University of Technology
2018-2019
Telemedicine over Internet of Things (IoT) generates an unprecedented amount data, which further requires transmission, analysis, and storage. Deploying cloud computing to handle data this magnitude will introduce unacceptable analysis latency high storage costs. Thus, mobile edge (MEC) deployed between the users, is close nodes generation, can tackle these problems in 5G scenarios with help artificial intelligence. This paper proposes a telemedicine system based on MEC intelligence for...
Purpose Offline reinforcement learning (RL) acquires effective policies by using prior collected large-scale data, while, in some scenarios, collecting data may be hard because it is time-consuming, expensive and dangerous, i.e. health care, autonomous driving, seeking a more efficient offline RL method. The purpose of the study to introduce an algorithm, which attempts sample high-value transitions prioritized buffer, uniformly from normal experience improving efficiency learning, as well...
Despite of its tremendous popularity and success in computer vision (CV) natural language processing, deep learning is inherently vulnerable to adversarial attacks which examples (AEs) are carefully crafted by imposing imperceptible perturbations on the clean deceive target neural networks (DNNs). Many defense solutions CV have been proposed. However, most them, e.g., training, suffer from a low generality due reliance limited AEs. Moreover, some even non-negligible negative impact...
Industrial Cloud Robotics (ICR), which has the characteristics of resource sharing, convenient access and high efficiency, is combination Computing Robots. In current manufacturing workshop, most industrial robots that are not connected to each other use onboard processors memories with limited resources, leading constraints multi-robot information sharing. However, knowledge sharing for collaborative optimization very important. service scheduling oriented workshop tasks, lack seriously...
Due to limited coverage, radio access provided by ground communication systems is not available everywhere on the Earth. It necessary develop a new three-dimensional network architecture in bid meet various connection requirements. Space–air–ground integrated networks (SAGINs) offer large but quality of satellites often compromised weather conditions. To solve this problem, we propose an extended extreme learning machine (ELM) algorithm paper, which can predict attenuation caused rainy...
In the process of computer controlled optical surfacing (CCOS), uncontrollable rolled edge restricts further improvements machining accuracy and efficiency. Two reasons are responsible for problem during small tool polishing. One is that areas cannot be processed because orbit movement. The other changing influence function (TIF) difficult to compensate in algorithms, since pressure step appears local distribution at surface edge. this paper, an acentric (A-TIF) designed remove after CCOS...
In order to obtain high precision and surface quality silicon carbide mirrors, the mirror substrate is subjected modification treatment. this paper, problem of Silicon Carbide (SiC) roughness deterioration by MRF studied. The reasons flaws "Comet tail" are analyzed. Influence principle polishing depth modified SiC mirrors obtained experiments. On basis, united process proposed which combined with small grinding head CCOS. makes improvement in accuracy mirrors.
Gathering and managing the data of taxi receipts in reimbursement process consumes a lot manpower. Due to bad painting irregular arrangement receipts, automatic receipt character recognition task has not been solved yet. This paper proposes an text application system based on communication system. In system, Single Shot Multi-Box Detector(SSD) neural network is used determine region, CNN (convolution network)-GRU (gated recurrent unit) combined designed for recognition. For networks, our set...
In the past few years, traditional terrestrial wireless communication has experienced explosive growth in number of users and services it supports, order to meet growing demand various services. However, due limitation network capacity coverage, only relying on ground system cannot provide access anywhere earth. It is necessary develop a new architecture adapt situation different scenarios. The advantage Space-Air-Ground integrated (SAGIN) that not characteristics large satellite coverage...
Aiming at the multi-level hierarchy framework of robotic manufacturing systems, how to realize a comprehensive energy-efficient optimization whole system is crucial sustainability manufacturing. In this paper, production-process oriented physical energy consumption model and digital industrial robots together with their interaction mechanisms are studied. Then, concurrent assessment evolution prediction approaches systems presented, as well collaborative method based on knowledge evolution....
In this paper, the simulation and experiments of a beryllium oxide (BeO) pillbox windows in D-band G-band are carried out. The physical model is established using HFSS software, size parameters simulated optimized. metallized BeO ceramics assembled by two-steps brazing to complete window. It has been tested that reflection coefficient window 148GHz~168GHz lower than -20dB, transmission higher -0.17 dB. pill box achieves -20dB -0.17dB 205GHz~241GHz passband. applied traveling wave tubes (TWT)...
When millimeter wave folded waveguide (FWG) traveling tube (TWT) operates near saturation, it is usually accompanied by some nonlinear phenomena. These distortions generated in the process of beam-wave interaction will lead to phenomena such as phase distortion, which reduce output performance FWG TWT and seriously affect overall communication system. In this paper, a genetic algorithm introduced optimize nonlinearity (AM/PM) TWT, an E-band used example. Finally, optimization results are...
Autonomous vehicle trajectory planning method based on the driving risk field is one of current research hotspots. Currently, mainstream models (DRFM) rarely consider basic factors such as geometry and heading angle, ignore impact behavior characteristics field, accuracy safety assessment needs to be improved. Therefore, this paper proposes an extended model (EDRFM) that considers geometric dimensions, characteristics, provides basis for determining dimensions shape parameters, expanding...
Abstract In this paper, we investigate the problem of wideband sensing for cognitive radio. Due to resource constraint, a node targets at finding given number spectrum holes, which is studied under novel architecture. Specifically, can dynamically focus its measurements on different portions contiguous channels. An adaptive scheme proposed standard Bayesian experimental design framework via three steps: (1) define cost that incorporates numbers desired (2) hypothesis testing rule detect...
<p indent="0mm">Space targets served on the orbit have a noncooperative characteristic. Thus, it is difficult to extract their features and measure motions. To resolve this problem, feature-extraction motion-measurement method for space proposed in paper. First, threshold segmentation performed with images captured using binocular camera separate satellite-rocket docking ring section from surrounding background. Additionally, Canny operator used detect edge of ring. Based analysis...
Computer Controlled Optical Surfacing (CCOS) is an important technology for manufacturing optical aspheric mirrors. Edge effect of small tool restricts the machining precision and efficiency CCOS technology. mainly caused by polish cannot move to very edge workpiece change pressure distribution when workpiece. This article corrects rolled different dimensions polishing combination process incorporated with locality residual error trace contour path planning. Provide feasibility process.
With the increase of diameter silicon carbide (SiC) mirror, amount material removed increases dramatically. The SiC has characteristics high hardness and chemical stability, so higher requirement convergence efficiency is put forward. current mirror processing carried out through a series different processes or parameters. combined converge surface residual error. But this method relies on experience personnel to determine transfer conditions process sequencing. This paper research improve...