A5066334922- Target Tracking and Data Fusion in Sensor Networks
- Radar Systems and Signal Processing
- Distributed Sensor Networks and Detection Algorithms
- Fault Detection and Control Systems
- Advanced SAR Imaging Techniques
- Computational Geometry and Mesh Generation
- Robotic Path Planning Algorithms
- Gaussian Processes and Bayesian Inference
- Advanced Vision and Imaging
- Face recognition and analysis
- Face and Expression Recognition
- Infrared Target Detection Methodologies
- Underwater Acoustics Research
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Geotechnical Engineering and Analysis
- Handwritten Text Recognition Techniques
- Robotics and Sensor-Based Localization
- Power Line Inspection Robots
- Energy Efficient Wireless Sensor Networks
- GNSS positioning and interference
- Control Systems and Identification
- Optimization and Search Problems
- Infrastructure Resilience and Vulnerability Analysis
- Complexity and Algorithms in Graphs
Northwestern Polytechnical University
2016-2025
Ministry of Education of the People's Republic of China
2015-2025
University of Science and Technology of China
2011-2024
Beijing Institute of Technology
2023
Shengli Oilfield Central Hospital
2016-2021
City University of Seattle
2020-2021
Delft University of Technology
2020
City University of Hong Kong
2015-2017
Beijing Urban Construction Design & Development Group (China)
2016
Institute of Intelligent Machines
2013-2015
Influenza A virus matrix protein (M1) is the most abundant conservative that regulates replication, assembly and budding of viral particles upon infection. Several host cell factors have been determined to interact with M1 possibly in regulating influenza replication. By yeast two-hybrid screening, isomerase cyclophilin (CypA) was identified protein. CypA specifically interacted both vitro vivo. The mutagenesis results showed bound functional middle (M) domain M1. depletion endogenous by RNA...
Abstract We study the generic problem of path optimization for a critical infrastructure link between two locations on surface Earth in vicinity earthquake‐prone areas. The has (conflicting) objective functions, one minimizing construction cost and other number potential repairs along wake earthquakes. In our model, Earth's is approximated by triangulated manifold, ground motion intensity data are used to provide measure repair rate. approach multiobjective variational first converting it...
Optimal multi-target tracking in the colocated multiple-input multiple-output radar system with limited beam resources has been widely considered past decades but, general, still remains an open question due to its high complexity. Here, we aim minimize a measure of overall error covariance target kinematic state estimation by appropriately allocating different targets. We model scheduling problem as restless multi-armed bandit that aims expected total discounted cost over infinite time...
Abstract In this paper, an innovative dual-channel trajectory prediction model is proposed, aiming to improve the accuracy and robustness of in complex dynamic environments. The incorporates advanced features Convolutional Neural Network (CNN), Efficient Channel Attention (ECANet), Bi-directional Gated Recurrent Unit (BiGRU) construct efficient robust framework. Specifically, designed with two parallel CNN channels, each which independently extracts spatial temporal from input data. This...
Coordinate registration (CR) is the key technology for improving target positioning accuracy of sky-wave over-the-horizon radar (OTHR). The CR parameters are derived by matching sea–land clutter classification (SLCC) results with prior geographic information. However, SLCC often contain mixed clutter, leading to discrepancies between land and island contours information, which makes it challenging calculate accurate OTHR. To address these challenges, we transform data from Euclidean space...
A multiple inputs-driven realistic facial animation system based on 3-D virtual head for human-machine interface is proposed. The can be driven independently by video, text, and speech, thus interact with humans through diverse interfaces. combination of parameterized model muscular used to obtain a tradeoff between computational efficiency high realism animation. online appearance track motion from video in the framework particle filtering, measurements, i.e., pixel color value input image...
This paper focuses on an important and fundamental problem of connecting two points by a cable, subject to tradeoff between cost earthquake survivability. In particular, we address the selecting route for laying cable under arbitrary topography, based data. First, derive semi-supervised probability density estimation model likelihood disaster. Based this probabilistic model, generate nearest neighbor graph. The graph represents each data point with four-dimensional space formed...
In the sea-land clutter classification of sky-wave over-the-horizon-radar (OTHR), imbalanced and scarce data leads to a poor performance deep learning-based model. To solve this problem, paper proposes an improved auxiliary classifier generative adversarial network (AC-GAN) architecture, namely variational autoencoder (AC-VAEGAN). AC-VAEGAN can synthesize higher quality samples than AC-GAN serve as effective tool for augmentation. Specifically, one-dimensional convolutional architecture is...
We aim to maximize the energy efficiency, gauged as average cost per job, in a large-scale server farm with various storage or/and computing components modeled parallel abstracted servers. Each operates multiple power modes characterized by potentially different service and consumption rates. The heterogeneity of servers complicate maximization problem, where optimal solutions are generally intractable. Relying on Whittle relaxation technique, we resort near-optimal, scalable job-assignment...
Motivated by tracking a manoeuvring target in electronic counter environments, the authors present problem of joint estimation and identification class discrete‐time stochastic systems with unknown inputs both plant sensors. Based on expectation‐maximum criterion, optimisation scheme state estimation, parameter iteration terminate decision were derived. A numerical example accompanied range gate pull‐off is utilised to verify proposed scheme.
We consider multitarget detection and tracking problem for a class of multipath system where one target may generate multiple measurements via propagation paths, the association relationship among targets, measurements, paths is unknown. In order to effectively utilize from improve performance, tracker has handle high-dimensional estimation latent variables including existence state, kinematic data association. Based on variational Bayesian inference, we propose novel joint algorithm that...
A relationship that links the accuracy of nitrogen oxide emission factors (NOx EFs) calculated from chasing measurements (EFchasing) to meteorological variables was developed. To quantitatively evaluate this relationship, we postulated an "effective ratio" concept based on momentum wake theory. The effective ratio is considered a function in vehicle wake. mobile platform used characterize NOx EFs by following tested vehicles were installed with portable measuring system (PEMS) restricted...
Submarine communications cables are essential infrastructure in modern society, but they also vulnerable to unpredictable disasters, and their breakage may have dire social economic consequences. Motivated by the lessons from Tonga volcano eruption 2022, we incorporate risk factor with other considerations (including earthquakes, fishing, anchoring, terrain slope, marine protected areas) that been considered previous publications, explain Fast Marching Method-based path planning of submarine...
Over-the-horizon radar (OTHR) target tracking in the presence of complicated ionospheric environment mainly faces three challenges, i.e., discrete uncertainty multipath data association, continuous heights, and coupling state estimation parameters identification. The existing OTHR algorithms demanded that heights should be exactly known or statistical properties known. However, is inaccurate due to inherent variability ionosphere, especially when deployment ionosondes unavailable sea area...
Bacterial infection often follows virus due to pulmonary interferon-γ (IFN-γ) production during infection, which down-regulates macrophage phagocytosis. The molecular mechanisms for this process are still poorly understood. In the present study, IFN-γ treatment significantly inhibited ability of mouse macrophages phagocytize nonopsonized chicken red blood cells (cRBCs), bacteria and beads in vitro, while it enhanced IgG- complement-opsonized decreased expression...
We describe a cost-effective approach to path planning for submarine cables connecting given site an existing cable network on the Earth's surface. The objective is minimize overall life-cycle cost of by considering multiple design considerations. With surface terrain represented triangulated manifold, we formulate problem as one variational optimization framed in terms Eikonal equation and solved leveraging fast marching method. results based real-world three-dimensional data are presented...