A5013912137- Advanced SAR Imaging Techniques
- Target Tracking and Data Fusion in Sensor Networks
- Geophysical Methods and Applications
- Hand Gesture Recognition Systems
- Microwave Imaging and Scattering Analysis
- Indoor and Outdoor Localization Technologies
- Distributed Sensor Networks and Detection Algorithms
- Gait Recognition and Analysis
- Aerospace and Aviation Technology
- Radar Systems and Signal Processing
- Antenna Design and Analysis
- Hemodynamic Monitoring and Therapy
- Image and Object Detection Techniques
- ECG Monitoring and Analysis
- COVID-19 diagnosis using AI
- Network Security and Intrusion Detection
- Topic Modeling
- Simulation Techniques and Applications
- Microwave Engineering and Waveguides
- Machine Learning in Healthcare
- Online Learning and Analytics
- Advanced Text Analysis Techniques
- Technology-Enhanced Education Studies
- Seismic Waves and Analysis
- Aviation Industry Analysis and Trends
University of Electronic Science and Technology of China
2019-2024
Nanjing University of Aeronautics and Astronautics
2024
Beijing Institute of Technology
2022
Zhejiang University of Technology
2022
Central South University
2019-2021
The virus SARS-CoV2, which causes coronavirus disease (COVID-19) has become a pandemic and spread to every inhabited continent. Given the increasing caseload, there is an urgent need augment clinical skills in order identify from among many mild cases few that will progress critical illness. We present first step towards building artificial intelligence (AI) framework, with predictive analytics (PA) capabilities applied real patient data, provide rapid decision-making support. COVID-19...
Ground penetrating radar (GPR), as a non-invasive instrument, has been widely used in the civil field. The interpretation of GPR data plays vital role underground infrastructures to transfer raw interested information, such diameter. However, diameter identification objects B-scans is tedious and labor-intensive task, which limits further application field environment. paper proposes deep learning-based scheme solve issue. First, an adaptive target region detection (ATRD) algorithm proposed...
While an increasing number of organizations have introduced artificial intelligence as important facilitating tool for learning online, the application in e-learning has become a hot topic research recent years. Over past few decades, importance online also been concern many fields, such technological education, STEAM, AR/VR apps, learning, amongst others. To effectively explore trends this area, current state should be understood. Systematic bibliometric analysis can address problem by...
The method of using millimeter-wave radar sensors to detect human vital signs, namely respiration and heart rate, has received widespread attention in non-contact monitoring. These are compact, lightweight, able sense various scenarios. However, it still faces serious problems noisy interference hardware, which leads a low signal-to-noise ratio (SNR). We used frequency-modulated continuous wave (FMCW) sensor operating at 77 GHz an office environment extract the rate person accustomed sitting...
Gesture recognition that is based on high-resolution radar has progressively developed in human-computer interaction field. In a recognition-based system, it challenging to recognize various gesture types because of the lacking transversal feature. this paper, we propose an integrated system frequency modulated continuous wave MIMO combined with deep learning network for recognition. First, pre-processing algorithm, which consists windowed fast Fourier transform and intermediate-frequency...
Over the past decade, neuroscience has been integrated into information systems as a new methodology and perspective to study solve related problems. Therefore, NeuroIS emerged cutting-edge research field. This review aimed identify, summarize, classify existing publications through knowledge mapping bibliometric analysis. To effectively understand development trend of NeuroIS, this referred journal selection index Association Business Schools in 2021 journals above three stars field...
In this paper, a network cost based node selection (NCBNS) strategy is proposed to address the problem for multiple target tracking (MTT) in netted radar system (NRS). NCBNS, we first establish model on clustering framework with both considering of scheduling and transmission. Herein, determined by select when forming cluster while transmission depends head (CH) specific cluster. Then, formulated as mathematical optimization minimizing constraints number requirement accuracy. It shown that...
In this paper, we address the joint sensor registration and multi-target tracking problem using PHD filter generalized Covariance Intersection (GCI) fusion rule. Each is assumed to have no knowledge about positions (referred as drift parameters) of its neighboring nodes in local coordinate system. our method, parameters are estimated first, then states obtained based on at each common global reference time step. The GCI divergence used measure degree discrepancy between multiple posterior...
Radar-based dynamic gesture recognition has attracted great interest of researchers in the field human-computer interaction. A very important problem based on radar is echo data preprocessing technique, it can significantly improve hand accuracy. In this paper, we present a Threshold-Denoising and CA-CFAR (TD-CF) method FMCW for recognition. We first perform 2D-FFT with window function matrix to deal spectrum leakage get Range Doppler Map. An improved wavelet threshold algorithm designed...
Traditional airport development planning often overlooks an in-depth consideration of the operation life cycle, which frequently causes deviations from planned objectives during operation. This paper presents a framework for predicting and segmenting cycle by integrating dynamic characteristics System Dynamics (SD) model with static properties Logistic modeling to examine trajectory operations. The influencing factors in this are selected across three levels: airport, city,...
This paper presents a novel network intrusion detection framework that combines convolutional recurrent neural networks (CRNN) and random forest (RF) models within federated learning setting. The proposed approach aims to address the challenges of data privacy, computational efficiency, model generalization in traditional methods. By leveraging spatial feature extraction capabilities CRNN selection noise reduction properties RF, enhances accuracy robustness attack detection. integration...
It has been demonstrated the advantage of basic stroke recognition algorithm in field human-computer interaction (HCI). However, most traditional techniques heavily rely on touch-contact operations to obtain character information, which limits further application non-contact scenario such as germ infection environment, high/low temperature environment or scene for blind human. This paper proposes a and automatic handwritten Chinese characters based frequency modulated continuous wave (FMCW)...
Recently, attention mechanism has aroused great interest in various fields of Natural Language Processing (NLP). In this paper, we propose a new model for extracting an interpretable sentence embedding by introducing "Adaptive self-attention". Instead using vector, use 2-D matrix to represent the and each valid row represents part sentence. addition, length hierarchy with unique loss function is applied adaptively adjust number rows matrix, which can solve problem redundancy short sentences...
Since 5G becomes increasingly popular in our daily life. It is vital to do further research for antenna. This paper presents a design of millimeter wave band patch antenna and each parameter. The operating at 26GHz provide high gain 7.3dBi. Furthermore, the figure plotted by matlab parameter clearly shows how they affect state In addition, impedance explored depth other feed methods are tried. helpful people understand deeply about
In this paper, we investigate a step-frequency linear-frequency-modulation (SF-LFM) radar for high resolution ranging and imaging based on USRP X310 equipped with UBX-160 daughter-boards. A wideband LFM baseband signal is adopted in platform because of its quality amplitude frequency characteristics while can be easily generated by digital techniques match filter processing used it's insensitive to doppler shift echo data. The transmitting divided into two channels through power divider, one...