A5100379693- Radar Systems and Signal Processing
- Advanced SAR Imaging Techniques
- Optical Systems and Laser Technology
- Direction-of-Arrival Estimation Techniques
- Structural Health Monitoring Techniques
- Infrared Target Detection Methodologies
- Probabilistic and Robust Engineering Design
- Neural Networks and Reservoir Computing
- Optical measurement and interference techniques
- Inertial Sensor and Navigation
- Building Energy and Comfort Optimization
- Infrastructure Maintenance and Monitoring
- Advanced Memory and Neural Computing
- Geophysics and Sensor Technology
- Radiation Detection and Scintillator Technologies
- Neural Networks and Applications
- Geophysical Methods and Applications
- Biomimetic flight and propulsion mechanisms
- Underwater Vehicles and Communication Systems
- Energy Load and Power Forecasting
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Advanced Frequency and Time Standards
- Maritime Navigation and Safety
- Particle Detector Development and Performance
- Vibration and Dynamic Analysis
Beijing University of Posts and Telecommunications
2021-2025
Czech Academy of Sciences, Institute of Biophysics
2024
Chinese Academy of Sciences
2024
Harbin Engineering University
2024
Ministry of Industry and Information Technology
2020-2024
Xidian University
2013-2024
Guangzhou University
2017-2024
Tsinghua University
2014-2023
Shanghai Normal University
2023
Xi'an Jiaotong University
2023
The weight vector in space-time adaptive processing (STAP) algorithm will lead to notches at the position of interfering targets when there are training data. If these close target interest on spectrum, signal self-nulling occurs. To deal with this problem, a machine learning-aided non-homogeneity detection (ML-NHD) method is proposed. More specifically, subaperture smoothing technique first performed each data obtain sample covariance matrices (SCMs). We prove that airborne radar works...
The concepts of sustainability and resilience have become very popular in the field urban infrastructure. This paper reviews previous research on infrastructure’s are compared from perspectives dimensions, properties, goals, methodologies. systematically assesses infrastructure by using concept grade point average (GPA). GPA (urban SR‐GPA) is proposed as a unified concept. assessment index system SR‐GPA constructed five dimensions including demand, status, influence, resource, measure....
Ideally, the monitoring data collected by Structural health (SHM) system should purely reflect structure status. However, sensors deployed in field can be very vulnerable to extreme conditions such as heavy rainfall, which results large quantities of anomalous and unavoidably leads inaccuracy structural condition assessment even false alarms. To automatically identify whether are abnormal or not, a novel deep learning-based anomaly detection technique combining time-frequency method...
Virtual reality (VR) is an emerging technology reshaping interactive experience and can be widely applied in gaming, operation training, so on. Despite its great potentials, most existing VR solutions suffer from low mobility support, high latency, quick battery drain, as well cost of user devices. To overcome these issues, a mobile system designed implemented. The basic idea to take advantage 5G fog computing realize bandwidth latency service. Meanwhile, our design features the integration...
This paper presents a primary-side regulation constant current voltage (CC-CV) Flyback ac-dc converter characterized by high efficiency and precision of control. In CC mode, novel ring detection demagnetization portion control technique is proposed, with which the ending time can be accurately determined in switching periods remain precisely same, enable accuracy output that reach level as ±0.8%. CV power stage model based on steady-state analyzing method established, according to expression...
Fog radio access networks (F-RANs) have been regarded as a promising paradigm to support latency-sensitive and computation-intensive services by leveraging computing caching capabilities of fog points (F-APs). To execute offloaded computation tasks, it is essential pre-store necessary programs databases at F-APs, referred service caching. However, due system dynamics the coupling decisions, cache, radio, resource management F-RANs challenging problem. In this paper, joint multi-dimensional...
We present MaskPOINT, a novel scheme of masked-wise pretrained models for point cloud self-supervised learning, addressing the challenges posed by 3D understanding, including ambiguous underlying geometry and irregular topology information. In fact, surface-based geodesic pro- vides strong cues semantic analysis geometric modeling, but such connectivity information is lost in clouds hardly considered. view this, we formulate this task into an sampling problem man- ifold understanding...
Primary-side controlled universal-line flyback converters have been widely used in low-power applications due to their simplicity, low standby power, and cost. However, conventional OCP schemes normally cause too large a variation output current when the input voltage varies. This paper proposes self-compensating circuit achieve high-precision constant at different voltages which can be working discontinues conduction mode. It consists of CS S/H dynamic reference circuit. Compared with...