A5101666012- Reliability and Maintenance Optimization
- Fatigue and fracture mechanics
- Satellite Communication Systems
- UAV Applications and Optimization
- Probabilistic and Robust Engineering Design
- Advanced Control Systems Optimization
- Semiconductor materials and devices
- Optical Coherence Tomography Applications
- Statistical Distribution Estimation and Applications
- 3D Shape Modeling and Analysis
- Video Surveillance and Tracking Methods
- Optimal Power Flow Distribution
- Quality and Safety in Healthcare
- Control Systems and Identification
- Analog and Mixed-Signal Circuit Design
- Optical Systems and Laser Technology
- Wireless Communication Security Techniques
- Infrared Target Detection Methodologies
- Islanding Detection in Power Systems
- Tribology and Lubrication Engineering
- Robot Manipulation and Learning
- Autonomous Vehicle Technology and Safety
- Adaptive optics and wavefront sensing
- Robotics and Automated Systems
- Technology Assessment and Management
Konka (China)
2021-2024
The University of Texas at Dallas
2024
Zhejiang University of Science and Technology
2023
Yanshan University
2019-2020
Southern Polytechnic State University
2013
Agency for Science, Technology and Research
2012
Changchun University of Science and Technology
2011
University of Colorado Colorado Springs
1993
Condition-based maintenance has been widely used in the strategy of equipment or systems. Aiming at decision-making with dynamic degradation characteristics, a condition-based model is proposed based on Inverse Gaussian process this paper. Firstly, an stochastic parameter to describe change characteristics during operation, and important properties related deduced. Secondly, threshold function proposed, its different values stages can reduce early failure risk while ensuring lower expected...
<div class="section abstract"><div class="htmlview paragraph">Understanding driving behavior is crucial for enhancing traffic safety. While previous studies have primarily explored using either statistical or machine learning methods, comprehensive assessments employing both methods under various mode are limited. In this study, we employ and approaches to model behavior. First, design a driver grading system assess the of drivers different modes. Additionally, present an...
A multi-objective optimization method for constant stress accelerated degradation test is proposed in order to solve the problem of different or even conflicted configuration under objectives. The inverse Gaussian process used as a model, and unknown parameters are solved by maximum likelihood estimation. two criteria determinant information matrix minimum asymptotic variance P-quantile considered. improved particle swarm algorithm search optimal configuration, Pareto solution set...
In this paper, the dynamic mechanical stability of liquid-filled lenses was studied, in which acoustic excitation used as broad band perturbation sources and resultant response lens characterized using non-contact laser Doppler vibrometer. To best our knowledge, it's first time that experimentally reported. Both experimental results theoretical analysis demonstrate resonance will shift to higher frequency while vibration velocity well its magnitude be reduced accordingly when pressure cavity...
To solve the problem that individual differences and measurement errors affect accuracy of life estimation in accelerated degradation test, inverse Gauss process with stochastic parameters is applied test consideration influence differences, analysis uncertainty carried out. An model considering both established. In maximum likelihood parameters, Genetic Algorithm Monte Carlo integral are used to problems caused by complex unobservable calculation process. Finally, proposed method verified...
A multi-objective optimization method for the accelerated degradation test based on Wiener process is proposed in this article order to solve problem that a single objective cannot difficulty or even conflicting configurations caused by different functions. An model established process, and unknown parameters are solved two-step maximum likelihood estimation method. Considering both accuracies of life parameter estimation, with goals minimum asymptotic variance P-quantile lifetime...
Running multi-task DNNs on mobiles is an emerging trend for various applications like autonomous driving and mobile NLP. Mobile are often compressed to fit the limited resources thus suffer from degraded accuracy generalizability due data drift. DNN evolution, e.g., continuous learning domain adaptation, has been demonstrated effective in overcoming these issues, mostly single-task DNN, leaving evolution important yet open challenge. To fill up this gap, we propose AdaBridge, which exploits...
Abstract Macro patches are important for generating quadric or cubic implicit spline surfaces from the input of a polyhedron. All existing macro split triangular facets polyhedron; this paper presents nonsplitting (NMP) that do not these facets. The NMP's based on necessary and sufficient condition constructions surfaces. This can be satisfied most practical applications, so lead to an efficient powerful surface scheme using cubics. free parameters in NMP set new technique excluding...
As for the optical measurement, longer focal length of collimator is, less measurement error is. However, more difficult design It’s higher application value to long with wide-view. The paper designs a 2000mm length, 4 degree field view and its wavelength range is from 480nm 750nm. employed in camera resolution detection system. It adopts apochromatism three-piece-type structure secondary spectrum corrected. analyses imaging quality system MTF curve presented.
This paper proposes a genetic algorithm to determine the optimal assembly sequence for robotic autonomous task. The coding rule of chromosomes, selection, crossover and mutation operations are presented. In order avoid invalid modified operation is suggested. addition, specific fitness table created evaluate random sequence. Some simulation results employed validate effectiveness accuracy proposed approach.
The stability problems caused by converter interaction challenge the safe operation of DC microgrids. Online monitoring methods need to be developed urgently prevent instability risk for existing measurement-based are invasive and widely-deployed measurement units, which is difficult realize. In this paper, a novel semi-supervised data-driven method based on empirical mode decomposition (EMD) semi-generative adversarial network (SGAN) first proposed in oscillation information can extracted...
This paper presents a novel background calibration technique for timing mismatch in time-interleaved ADCs (TI ADCs). It can achieve high-precision estimation by subtracting the error term caused noise and jitter correlation-based method. Compared to previous works on estimation, this work could higher precision with less samples. Finally, we validate 4-cahnnel 12-bit 1GSps TI ADC model non-ideal effects. Simulation results show that accuracy of our proposed method reach 11fs at f <inf...