A5101747178- Video Surveillance and Tracking Methods
- Robotic Locomotion and Control
- DNA and Nucleic Acid Chemistry
- Information and Cyber Security
- Speech and Audio Processing
- Soft Robotics and Applications
- Music and Audio Processing
- Target Tracking and Data Fusion in Sensor Networks
- Gait Recognition and Analysis
- Advanced biosensing and bioanalysis techniques
- Impact of Light on Environment and Health
- Teleoperation and Haptic Systems
- Stability and Control of Uncertain Systems
- Advanced Adaptive Filtering Techniques
- Music Technology and Sound Studies
- Semiconductor Quantum Structures and Devices
- Cellular Automata and Applications
- Indoor and Outdoor Localization Technologies
- Mathematical and Theoretical Epidemiology and Ecology Models
- Image Enhancement Techniques
- Visual Attention and Saliency Detection
- Biomimetic flight and propulsion mechanisms
- Simulation and Modeling Applications
- DNA and Biological Computing
- Robot Manipulation and Learning
Beijing Jiaotong University
2019-2022
Tencent (China)
2021
University of Tennessee at Chattanooga
2018
Guilin University of Aerospace Technology
2014-2015
Chinese Academy of Sciences
2010-2013
Suzhou Institute of Nano-tech and Nano-bionics
2010
Institute for Infocomm Research
2004
Gait recognition which is one of the most important and effective biometric technologies has a significant advantage in long-distance systems. For existing gait methods, template-based approaches may lose temporal information, while sequence-based methods cannot fully exploit relations among sequence. To address above issues, we propose novel multiple-temporal-scale framework integrates information multiple scales, making use both frame interval fusion information. Moreover, interval-level...
We report self-induced growth of vertically aligned (i.e. along the [111] direction), free-standing InAs nanowires on Si(111) substrates by solid-source molecular beam epitaxy. Implementation an ultrathin amorphous SiO(x) mask facilitated epitaxial nanowire growth, as confirmed high-resolution x-ray diffraction 2theta-omega scans and transmission electron microscopy. Depending temperature (in range 400-520 degrees C) substantial size variation both length diameter was found under...
In this technical report, we present a joint effort of four groups, namely GT, USTC, Tencent, and UKE, to tackle Task 1 - Acoustic Scene Classification (ASC) in the DCASE 2020 Challenge. comprises two different sub-tasks: (i) 1a focuses on ASC audio signals recorded with multiple (real simulated) devices into ten fine-grained classes, (ii) 1b concerns classification data three higher-level classes using low-complexity solutions. For 1a, propose novel two-stage system leveraging upon ad-hoc...
To improve device robustness, a highly desirable key feature of competitive data-driven acoustic scene classification (ASC) system, novel two-stage system based on fully convolutional neural networks (CNNs) is proposed. Our leverages an ad-hoc score combination two CNN classifiers: (i) the first classifies inputs into one three broad classes, and (ii) second same ten finergrained classes. Three different architectures are explored to implement classifiers, frequency sub-sampling scheme...
Cellular automata provide simple discrete deterministic mathematical models for physical, biological, and computational systems. Despite their construction, cellular are shown to be capable of complicated behavior generate complex random patterns. There have been constant efforts exploit cryptography since the very beginning research on automata. Unfortunately, most previous cryptosystems based either insecure or inefficient. In ICICS'0.2, Sen et al. made a new effort in (CACs) design, where...
Generic visual object tracking is challenging due to various difficulties, e.g. scale variations and deformations. To solve those problems, we propose a novel multi-scale selective kernel module for tracking, which contains small-scale large-scale branches model the target at different scales attention mechanism capture more effective appearance information of target. In our module, cascade multiple convolutional blocks as an equivalent branch extract features effectively. Besides, present...
In order to prompt the level of automation and information, a great amount common information technologies are applied railway signalling systems, which brings openness systems increasing, security risks growing. Quantifying effects is an urgent task, challenge for due lack metrics efficient assessment approach. paper, based on service features cyber-physical characteristics we propose resilience-based approach describe performance changes during different stages events, can illustrate...
A mechanism based on a four-linkage and hybrid-drive six-linkage is designed to imitate the function of basilisk lizard running water. The kinematics analysis water carried out by using linkage D-H method. Then stability according critical conditions. At last simulated optimized for getting maximum momentum in slap phase force stroke phase. And simulation result shows that can satisfy requirement biped running.
We propose a multi-scale modeling framework to investigate the transmission dynamics of cholera. At population level, we employ SIR model for between-host disease. individual host describe evolution pathogen within human body. The and within-host are connected through an environmental equation that characterizes growth its interaction with hosts outside put special emphasis on by making distinction each host. conduct both mathematical analysis numerical simulation our in order explore...
Lateral and longitudinal channels are two closely related whose control stability influences flight performance of small-scale unmanned helicopters directly. This paper presents a robust approach for lateral in the presence parameter uncertainties exogenous disturbances. The proposed is performed by steps. First, performing system identification frequency domain, model can be accurately identified. Then, robust<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"...
The perpendicular climbing obstacle capability of omni-directional wheeled robot was studied, based on simplified mechanics model. relation between influential factors and height given under two conditions: simultaneously by front wheels rear wheels. Then maximum this calculated. Simulation analysis to the result MATLAB done. simulation gave theoretical foundation robot.
Recently, the correlation filter (CF)-based methods have achieved great success in field of object tracking. In most these methods, CF utilizes <italic>L</italic><sub>2</sub> norm as regularization, which does not pay attention to stability and robustness feature. However, there may exist some unstable points image because video different appearance changes. We propose a tracking method based on structured robust (SRCF), employs <italic>L</italic><sub>2,1</sub> regularization. The can only...
Tracking moving objects with high accuracy is an important problem in fields of robot vision, video signal processing and pattern recognition. One the widely used object tracking methods Kalman filter. Conventional filter has a basic assumption that noise obeys Gaussian distribution. However, practice, observed data also suffers from non-stationary sparse noise, which may cause performance deterioration for conventional In this paper, we propose robust based on convex optimization to remove...
The impressive expressive power of deep neural networks (DNNs) underlies their widespread applicability. However, while the theoretical capacity architectures is high, practical achieved through successful training often falls short. Building on insights gained from Neural ODEs, which explore depth DNNs as a continuous variable, in this work, we generalize traditional fully connected DNN concept width. In Generalized Deep Network (GDNN), notion neurons each layer replaced by state function....
The wide application of service robot caused security problems between humans and robots. Through the theoretical analysis mathematical formula based on calculation. Designing a novel safe impedance joint mechanism consisting an inclined link, slider with rollers, linear springs is proposed. Analysis institutions different friction rollers tilt links in form organization function at same time. Using solidworks software to 3D modeling, design two partial CAM model, importing ADAMS function,...