A5100749347- Robotic Locomotion and Control
- Prosthetics and Rehabilitation Robotics
- Robot Manipulation and Learning
- Fuzzy Logic and Control Systems
- Hydraulic and Pneumatic Systems
- 3D Printing in Biomedical Research
- Recommender Systems and Techniques
- Human Pose and Action Recognition
- Bone Tissue Engineering Materials
- Intravenous Infusion Technology and Safety
- Innovative Microfluidic and Catalytic Techniques Innovation
- Additive Manufacturing and 3D Printing Technologies
- Muscle activation and electromyography studies
- Neural Networks and Applications
- Robotic Path Planning Algorithms
- Chaos control and synchronization
- Customer churn and segmentation
- Efficiency Analysis Using DEA
- Oil and Gas Production Techniques
- Education and Work Dynamics
- Healthcare Policy and Management
- Control and Dynamics of Mobile Robots
- Bone and Dental Protein Studies
- Bone health and osteoporosis research
- Offshore Engineering and Technologies
Xinjiang University
2024
Beijing University of Technology
2023
Shanghai University of Engineering Science
2023
Changsha University of Science and Technology
2022
Nanjing University
2022
Hefei University of Technology
2022
Collaborative Innovation Center of Advanced Microstructures
2022
China University of Petroleum, East China
2020
Shunde Polytechnic
2007-2017
Guangdong University of Technology
2011-2015
Bioprinting has exhibited remarkable promises for the fabrication of functional skin substitutes. However, there are some significant challenges treatment full-thickness defects in clinical practice. It is necessary to determine bioinks with suitable mechanical properties and desirable biocompatibilities. Additionally, key printing design structure optimally, enabling function skin. In this study, scaffolds were prepared a gradient pore constructing dense layer, epidermis, dermis by...
Cultivated strawberry is a globally important fruit crop with high economic value. Fruit shape contributes to quality and diversity target for breeding, but very few regulatory genes have been reported in strawberry. Here, we identified an ethyl methanesulfonate (EMS) round (rf) mutant that produces or flat fruits woodland The primary candidate point mutation located the second exon of FvH4_2g22810, causing premature stop codon at residue 266. This gene encodes protein similarity TON1...
An energy-efficient support vector machine (EE-SVM) learning control system considering the energy cost of each training sample biped dynamic is proposed to realize walking. Energy costs walking samples are calculated. Then weighed with inverses costs. EE-SVM objective function energy-related slack variables proposed, which follows principle that lowest consumption treated as most important one in training. That means lower contribute more regression learning, highly increases efficiency...
An unscented Kalman filter (UKF)-based predictable support vector regression (SVR) learning controller is proposed to improve the flexibility of biped walking robots. After estimating states next moment using a UKF, an SVR with predicted implemented ensure zero point (ZMP) stability. Using states, can predictably adjust posture trunk timely and properly adapt dynamic whole body. The robots enhanced by method, which promising for realizing stable in unstructured environments. Simulation...
A novel systematic architecture and algorithm of gait control based on energy-efficiency optimization is represented, aiming at the fatal problem high energy consumption for biped robots walking in unstructured environments. By designing an optimal controller to minimize criterion, proposed method provides a remarkable descend rate trunk-rotation mechanism. The able optimize trunk trajectory by minimizing energy-related cost function while guaranteeing zero-moment point (ZMP) criterion....
Hand tremors may cause some blemishes in precision and stability of a minimally invasive surgery (MIS). To track the tremor signals accurately, there are two main problems left to be settled. First, it is not practical collect sample data large scale applications. deal with hand tremors, learning method based on small samples sizes high dimensional input space needed. Second, have time-varying characteristics. This fact neglected by traditional methods, which could lead imprecision...
In this paper, we investigate the problem of personalized ranking from implicit feedback (PRIF). It is a more common scenario (e.g. purchase history, click log and page visitation) in recommender systems. The training data are only binary these problems, reflecting users’ actions or inactions. One shortcoming previous PRIF algorithms noise sensitivity: outliers might bring significant fluctuations process lead to inaccuracy algorithm. propose two robust solve sensitivity existing by using...
Combination of cells and materials opens a new option for tissue repair regeneration. The aim this study is to investigate the effects hydroxyapatite/collagen composite on osteogenic differentiation rat bone marrow derived mesenchymal stem cells. composites are synthesized by bioinspired mineralization characterized Fourier transform infrared spectrometry, X-ray diffraction, scanning electron microscope, thermogravimetric analysis laser particle size analyzer. Different concentrations...
Abstract In clinical treatments, reliable flow rate measurements ensure accurate drug delivery during infusions, precise gas artificial ventilations, etc., thereby reducing patient morbidity and mortality. However, sensors are costly, so medical devices with limited budgets choose cheaper but unsatisfactory measurement approaches, leading to increased risks. Here, a photoelectric sensor based on flexible planar curved beam structure (FPCBS) is proposed. The FPCBS ensures low out‐of‐plane...