A5101690088- Target Tracking and Data Fusion in Sensor Networks
- GNSS positioning and interference
- Fault Detection and Control Systems
- Recycled Aggregate Concrete Performance
- Tree-ring climate responses
- Human Pose and Action Recognition
- Hydraulic and Pneumatic Systems
- Ecology and Vegetation Dynamics Studies
- Adaptive Control of Nonlinear Systems
- Water Quality Monitoring Technologies
- Electrocatalysts for Energy Conversion
- Advancements in Solid Oxide Fuel Cells
- Inertial Sensor and Navigation
- Turbomachinery Performance and Optimization
- Elevator Systems and Control
- Control Systems and Identification
- Advanced Computational Techniques and Applications
- Advanced Sensor and Control Systems
- Ship Hydrodynamics and Maneuverability
- Technical Engine Diagnostics and Monitoring
- Species Distribution and Climate Change
- Soil Moisture and Remote Sensing
- Video Surveillance and Tracking Methods
- Advanced Algorithms and Applications
- Educational Technology and Assessment
Hangzhou Dianzi University
2022-2025
Heilongjiang University
2013-2024
Beihang University
2013-2023
University of California, Davis
2019
Dalian University of Technology
2012
Xi’an University of Posts and Telecommunications
2011
The Ohio State University
2008
<div class="section abstract"><div class="htmlview paragraph">This paper addresses a series of issues in the thermal management system proton exchange membrane fuel cells (PEMFC) during power fluctuations, such as slow response, insufficient stability, significant temperature and complexity coupled control between coolant flow air flow. A solution is proposed by designing separate Linear Active Disturbance Rejection Controllers (LADRC) for loops. one-dimensional model PEMFC was...
Abstract A predicted impact of a warming climate is an upslope shift montane plant species. These shifts may be amplified by land-use changes or attenuated forest recoveries at low elevations where historical disturbances were ceased allowing for regrowth. Consequently, species downslope back to they had been previously harvested. The cessation-driven are hypothesized dampen even reverse climate-driven shifts. We tested this hypothesis 20 year (1989–2009) inventory dataset from five...
Signals from the Global Navigation Satellite System (GNSS) scatter over sea surface resulting in relatively low Signal-to-Noise Ratios (SNR). A differential coherent algorithm is given here to improve SNR and reduce performance degradation due Squaring-Loss navigation-bit effect. The uses fast correction for Delay-Doppler Maps (DDM) airborne Signal Reflectometry (GNSS-R) software receivers. system model introduced with an analysis of statistical properties simulations support theoretical...
Abstract In the application of moving horizon estimation (MHE) algorithm, window length will affect accuracy and computing efficiency. For this kind problem, a method parameter optimization is proposed to obtain suitable length. Firstly, in order facilitate online solution, problem involved algorithm transformed into quadratic programming (QP) matrix form. Secondly, for time index estimated residual that measure different properties, normalization idea adopted incorporate them same dimension...
To improve the accuracy, rapidity, and versatility of pneumatic control valves, mechanism modeling, optimization analysis on actuators were carried out, then a new positioning strategy based parameter tuning optimal technique was proposed consequently. Firstly, dynamic model valve position under constraint conditions established, characteristic parameters motion determined. Then, adaptive processing switching points introduced into to control. Finally, according different partitions,...
In this paper, a distributed fusion white noise deconvolution estimator is presented for the multisensor linear discrete systems with different measurement matrices and correlated noises. It globally optimal because it derived from centralized identical to fuser. The proposed fuser obtained based on local Kalman predictors. Compared existing suboptimal estimators, computation of complex covariance avoided. effectiveness results shown by Monte Carlo simulation Bernoulli-Gaussian input noise.
Action recognition is a very challenging task in the field of real-time video surveillance. The traditional models on action are constructed Spatial-temporal features and Bag-of-Feature representations. Based this model, current research work tends to introduce dense sampling achieve better performance. However, such approaches computationally intractable when dealing with large dataset. Hence, there some recent works focused feature reduction speed up algorithm without reducing accuracy. In...
Software testing is an indispensable step to ensure software quality, and the number of test cases will increase with expansion scale. Sorting important means improve efficiency. At present, there are many requiring high safety, but existing case ranking index can not take safety into account well, then find defects modules faster under condition limited resources. To solve this problem, paper proposes a new priority calculation method, which takes as sort cases, improves intensity...
Under certain environmental conditions, the unknown system errors often occur and yield to larger filtering when unverified or uncalibrated measurement equation is used. Incremental can be introduced, which will effectively solve problem of state estimation for systems with errors. For linear discrete descriptor under poor observation condition, a incremental Kalman algorithm firstly presented canonical form. The solved. Furthermore, selft-uning estimator proposed model parameters noise...