A5110044554- Craniofacial Disorders and Treatments
- Cleft Lip and Palate Research
- Fault Detection and Control Systems
- Power Line Inspection Robots
- Advanced Algorithms and Applications
- Temporomandibular Joint Disorders
- Dental Implant Techniques and Outcomes
- Orthodontics and Dentofacial Orthopedics
- Machine Learning and ELM
- Facial Trauma and Fracture Management
- Robotics and Automated Systems
- Head and Neck Surgical Oncology
- Tracheal and airway disorders
- Dental Radiography and Imaging
- Advanced Measurement and Detection Methods
- Power Systems and Technologies
- Vehicle License Plate Recognition
- IoT-based Smart Home Systems
- Mineral Processing and Grinding
- Anatomy and Medical Technology
- Occupational Health and Performance
- Robotics and Sensor-Based Localization
- Neural Networks and Applications
- Tumors and Oncological Cases
- Ergonomics and Musculoskeletal Disorders
Chinese Academy of Sciences
2023-2024
University of Chinese Academy of Sciences
2023-2024
Air Force Medical University
2008-2024
Shenyang Institute of Automation
2023-2024
Electric Power Research Institute
2018
Wuhan University
2005
This article focuses on the characteristics of poor agricultural distribution network, large power supply range, high accident rate and difficult maintenance. The research mainly includes all terrain variable width tracked live working robot for special tool narrow space interactive control strategy based visual feedback man-machine operation. can be remotely controlled, automated, visually charged in a variety environments such as soft (hard) earthy roads, stones, grasslands.
In this paper, we study inspection business model based on the distribution network, and spatial data network automatic generating technique, which use GIS satellite positioning. Furthermore, control method speech synthesis technology in order to process effectively ensure efficiency.
Abstract To deal with the highly nonlinear and time-varying characteristics of batch process, a model named Moving Window Stacking Approximate Kernel-Based Broad Learning System (MW-Stacking-AKBLS) is proposed in this paper. This innovatively introduces AKBLS algorithm MW-Stacking framework, giving it strong fitting ability, excellent generalization adaptive ability. The (BLS) known for its shorter training time effective processing, but uncertainty brought by double random mapping results...
This study evaluated the methods and clinical effects of multidisciplinary collaborative treatment for occlusal reconstruction in patients with old jaw fractures dentition defects.
Abstract To deal with the highly nonlinear and time-varying characteristics of Batch Process, a model named adaptive stacking approximate kernel based broad learning system is proposed in this paper. This innovatively introduces (AKBLS) algorithm Adaptive Stacking framework, giving it strong fitting ability, excellent generalization ability. The Broad Learning System (BLS) known for its shorter training time effective processing, but uncertainty brought by double random mapping results poor...
The four arms crawler substation inspection robot system was developed, using the integrated navigation technology including laser and odometer, then can run free without limitation of road environment fixed track; image enhancement in complicated environment, improve automatically detecting identification accuracy equipment status bad so implement all area transformer substation, as well has adaptability, engineering construction convenience higher promotion application value.
The core quality data, such as interior ballistic performance, are seriously unbalanced in the plasticizing and molding process, which makes it difficult for traditional supervised learning methods to accurately predict this kind of index. A Tri-training weighted ensemble JITL-RVM model based on an integrated confidence evaluation strategy is proposed solve above problem. method semi-supervised regression architecture uses both labeled unlabeled data modeling. First all, single similarity...
Abstract In batch processes, existing soft sensing methodologies encounter substantial challenges when confronted with nonlinearity and multi‐phase issues. response to these challenges, an innovative framework known as the stacking ensemble model self‐selected primary learner is proposed. The main innovation of this lies in solution selection issue within model. To commence, process divided into multiple phases employing a Gaussian mixture model, thereby establishing local models for each...
In this paper, a power management system testing platform for substation inspection robot is designed, and the method of in introduced. The use makes supply process more convenient quicker, avoids risk using to carry on test directly, has very high practicality.
The traditional inspection method for distribution lines is manual inspection, which uses paper media to record work content. This has many shortcomings, it highly susceptible human factors, and the management cost too high. It failed understand status of patrol. In order improve efficiency quality economics, State Grid Shandong Electric Power Company developed an on-board intelligent system lines. detection probe installs on top vehicle, composed visible light camera, infrared thermography,...