A5100398593- EEG and Brain-Computer Interfaces
- Heat transfer and supercritical fluids
- Rocket and propulsion systems research
- Blind Source Separation Techniques
- Functional Brain Connectivity Studies
- Turbomachinery Performance and Optimization
- Dementia and Cognitive Impairment Research
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Advanced Neuroimaging Techniques and Applications
- Nuclear Engineering Thermal-Hydraulics
- Advanced Combustion Engine Technologies
- Neural and Behavioral Psychology Studies
- Neural dynamics and brain function
- Privacy-Preserving Technologies in Data
- Autism Spectrum Disorder Research
- Remote-Sensing Image Classification
- Advanced Thermodynamic Systems and Engines
- Cholinesterase and Neurodegenerative Diseases
- Face Recognition and Perception
- Neuroscience and Neural Engineering
- Domain Adaptation and Few-Shot Learning
- Gaze Tracking and Assistive Technology
- Cellular and Composite Structures
- Mechanical Behavior of Composites
- ECG Monitoring and Analysis
Beihang University
2014-2024
Beijing University of Posts and Telecommunications
2021-2024
Air Force Medical University
2024
Wuhan Textile University
2024
University of Science and Technology of China
2024
Eye & ENT Hospital of Fudan University
2022
Shandong University of Traditional Chinese Medicine
2020
Beijing Normal University
2019
Beijing University of Technology
2019
China Mobile (China)
2019
The precooled airbreathing engine is a promising propulsion concept for horizontal takeoff and landing hypersonic aircraft. helium closed cycle has been introduced in the such as Synergetic Air-Breathing Rocket Engine to enhance safety thermal efficiency of engine, whereas increasing system complexity inevitably. To achieve better compromise between specific impulse complexity, novel thermodynamic layout was proposed this paper. air moderately precooler at high flight Mach number, relatively...
Transfer learning is one of the popular methods to solve problem insufficient data in subject-specific electroencephalogram (EEG) recognition tasks. However, most existing approaches ignore difference between subjects and transfer same feature representations from source domain different target domains, resulting poor performance. To address this issue, we propose a novel EEG method named deep multiview module adaption (DMV-MAT) network. First, design universal (DMV) network generate types...
As an essential perceptual device, the tactile sensor can efficiently improve robot intelligence by providing contact force perception to develop algorithms based on feedback. However, current grasping technology lacks high-performance sensors and high-precision prediction models, which limits its broad application. Herein, intelligent system that combines a highly sensitive array was constructed. A dataset reflect of various objects set up multiple operation feedback from array. The...
Self-supervised learning has emerged as a highly effective approach in the fields of natural language processing and computer vision. It is also applicable to brain signals such electroencephalography (EEG) data, given abundance available unlabeled data that exist wide spectrum real-world medical applications ranging from seizure detection wave analysis. The existing works leveraging self-supervised on EEG modeling mainly focus pretraining upon each individual dataset corresponding single...
White matter hyperintensity (WMH) is one of the typical neuroimaging manifestations cerebral small vessel disease (CSVD), and WMH correlates closely to cognitive impairment (CI). CSVD patients with own altered topological properties brain functional network, which a possible mechanism that leads CI. This study aims identify differences in characteristics some network among different grades estimates correlations between these assessment scores.110 underwent 3.0 T Magnetic resonance imaging...
The Internet search engines, which have powerful search/sort functions and ease of use features, become an indispensable tool for many individuals. current study is to test whether the short-term training can make people more dependent on it. Thirty-one subjects out forty completed included a pre-test, six-day's search, post-test. During pre- post- tests, were asked online answers 40 unusual questions, remember recall them in scanner. Un-learned questions randomly presented at recalling...
Electroencephalogram (EEG) based seizure prediction plays an important role in the closed-loop neuromodulation system. However, most existing methods on graph convolution network only focused constructing static graph, ignoring multi-domain dynamic changes deep structure. Moreover, feature fusion strategies generally concatenated coarse-grained epileptic EEG features directly, leading to suboptimal performance. To address these issues, we propose a novel multi-branch multi-graph...
The PCHE has been recognized as a promising heat exchanger for hypersonic precooled aero-engines due to its superior thermal performance, high compactness and robustness. present work focuses on the experimental thermal-hydraulic performance study of novel zigzag microchannel PCHE. results indicate that pressure loss caused by friction is main source. Fanning correlation proposed Moisseysev shows more precise prediction results, whose deviations are within 10.0%. measured Nu markedly 1.24 ~...
Nowadays, the safety of special children has gradually become a hot spot social concern. In this paper, aiming at problems autism spectrum disorder who are easy to get lost and drown, intelligent monitoring clothing with warning drowning rescue functions is designed. Firstly technology system based on multi-MCU BeiDou dual-mode positioning was set up. Then according their characteristics physiology psychology, CLO used for virtual simulation design color, pattern, style sample clothes....
Inhibitory control, as an essential cognitive ability, affects the development of higher functions. Rhythmic perceptual stimulation has been used to improve abilities. It is unclear, however, whether it can be inhibitory control. This study Go/NoGo task and Stroop assess various levels control using rhythmic audio-visual stimuli stimulus mode. Sixty subjects were randomly divided into three groups receive 6 Hz, 10 white noise for 30 min. Two tasks completed by each subject both before after...
Abstract To automatically detect dynamic EEG signals to reduce the time cost of epilepsy diagnosis. In signal recognition electroencephalogram (EEG) epilepsy, traditional machine learning and statistical methods require manual feature labeling engineering in order show excellent results on a single data set. And artificially selected features may carry bias, cannot guarantee validity expansibility real-world data. practical applications, deep can release people from certain extent. As long...
The precooling air-breathing technique has become a study focus in the aerospace field. Research on internal flow and heat-transfer mechanism of precooler is important for design optimization. A large-eddy simulation was used to aerodynamic thermal characteristics micropipe hypersonic engine with supercritical methane as coolant fuel. Under effect buoyancy, high-temperature low-density fluid near wall circumferential direction gradually accumulate top wall. accumulation enhances acceleration...
Horizontal takeoff and landing, reusable hypersonic vehicles have become one of hot spots aviation field due to their high performance over all operating conditions. The propulsion system with power output capability inside flight envelope is the key conduct various missions. In order meet demand vehicle systems, a coupled moderate pre-cooled cycle engine thermodynamic based on closed-cycle supercritical helium was established. sensitivity parameters overall design point were analyzed....