A5043491533- Anomaly Detection Techniques and Applications
- Neural dynamics and brain function
- Guidance and Control Systems
- Military Defense Systems Analysis
- EEG and Brain-Computer Interfaces
- Transportation Planning and Optimization
- Autonomous Vehicle Technology and Safety
- Web Data Mining and Analysis
- Neural and Behavioral Psychology Studies
- Bayesian Modeling and Causal Inference
- Recommender Systems and Techniques
- Industrial Technology and Control Systems
- Neural Networks and Applications
- Advanced Memory and Neural Computing
- Advanced Sensor and Control Systems
- Aerospace and Aviation Technology
- Text and Document Classification Technologies
- Advanced Algorithms and Applications
- Impact of AI and Big Data on Business and Society
- Traffic control and management
- Adversarial Robustness in Machine Learning
- Human Pose and Action Recognition
Air Force Engineering University
2021
Beijing Institute of Technology
2015
University of Mississippi
2010-2012
Nankai University
2009
The prerequisite for victory in war is the rapid and accurate identification of tactical intention target on battlefield. efficiency manual recognition combat air targets becoming less effective with advent information warfare. Moreover, if traditional method based only data from a single moment time, characteristic time-series difficult to capture effectively. In this context, we design new deep learning attention mechanism temporal convolutional network bidirectional gated recurrent unit...
Since a target's operational intention in air combat is realized by series of tactical maneuvers, its state presents the characteristics temporal and dynamic changes. Depending only on single moment to take inference, traditional recognition method neither scientific nor effective enough. Based gated recurrent unit (GRU), bidirectional propagation mechanism attention are introduced proposed aerial target method. The constructs an characteristic set through hierarchical approach, encodes into...
Traditional aerial target tactical intention recognition is based on a single moment of reasoning, while actual battlefield realized by series actions, so the state reflects dynamic and temporal variation. To solve this problem, bidirectional propagation attention mechanisms are introduced gated recurrent unit (GRU) network, units with mechanism (BiGRU-Attention) air model proposed. We use hierarchical approach to construct combat characteristic set, encode it into characteristics,...
The sum of sine waves was used to evoke Steady State Visual Evoked Potentials (SSVEP). SSVEP responses were elicited by visual stimuli in the form a flickering light emitting diode (LED). We recorded EEG these and analyzed observed spectral differences due square waves, triangle waves. showed that resolution dual stimuli, which is defined as difference between two frequencies, essential experiments. Reliable spikes from signals can only be acquired if are at least 4Hz apart. also tested...
In the recent two decades, improvement of vehicular network gave momentum to research vehicle collision warning systems, which focus on curbing wounded and fatalities in crashes, increase requirement uncover mechanism driving.Car-following algorithm, a series methodology using formula express interaction between drivers vehicles, have reproduce several intricate phenomenon.In this paper, some highly-cited car-following algorithm are calibrated based positional information real traffic...
Cash is of great significance to the production and operation enterprises. flow has always been regarded as "blood" enterprise operation, especially affected by COVID-19 epidemic. If not paying attention management cash flow, business bound be worse. Therefore, it necessary study problem The article based on this context, using methods literature inquiry, case analysis comparative analysis, basis related theory, take Shengye Clothing Company a case, analyze from three aspects activities,...