A5025136019- Radar Systems and Signal Processing
- Advanced Chemical Sensor Technologies
- Gas Sensing Nanomaterials and Sensors
- Advanced SAR Imaging Techniques
- Monetary Policy and Economic Impact
- Advanced Adaptive Filtering Techniques
- Spatial and Panel Data Analysis
- PAPR reduction in OFDM
- Antenna Design and Optimization
- Insect Pheromone Research and Control
- Speech and Audio Processing
- Direction-of-Arrival Estimation Techniques
- Spectroscopy and Chemometric Analyses
- Blind Source Separation Techniques
- Global Financial Crisis and Policies
- Satellite Communication Systems
- Statistical Methods and Inference
- Radio Wave Propagation Studies
- Microwave Imaging and Scattering Analysis
- Target Tracking and Data Fusion in Sensor Networks
- Machine Learning and ELM
- Inertial Sensor and Navigation
- Financial Risk and Volatility Modeling
- Image and Signal Denoising Methods
- Market Dynamics and Volatility
Chongqing University
2019-2025
Chengdu University of Traditional Chinese Medicine
2024
Shanghai Jiao Tong University
2013-2023
Zhejiang University
2023
Microelectronica (Romania)
2022
In this article, we consider estimation of common structural breaks in panel data models with unobservable interactive fixed effects. We introduce a penalized principal component (PPC) procedure an adaptive group fused LASSO to detect the multiple models. Under some mild conditions, show that probability approaching one proposed method can correctly determine unknown number and consistently estimate break dates. Furthermore, regression coefficients through post-LASSO establish asymptotic...
This article presents a study on lung cancer detection based electronic nose technology. The pattern recognition algorithm is extremely crucial for an system, but the customary learning algorithms usually prefer majority class imbalance due to assumption of equal misclassification costs. To address this challenge, in article, we propose novel classification method named weighted discriminative extreme machine (WDELM) diagnosis. First, WDELM assigns different weight each particular sample by...
In this article, in order to improve the performance of micro inertial measurement unit (MIMU) based on low-accuracy navigation system under condition initial large misalignment angle, a nonlinear strapdown (SINS)/global satellite (GNSS) integrated estimation algorithm Lie group manifold space is proposed. The proposed unscented Kalman filter (UKF), and its core realize propagation algebra state error variable sigma points between through retraction operation inverse operation. Meanwhile,...
In this paper, we consider the problem of determining number structural changes in multiple linear regression models via group fused Lasso. We show that with probability tending to one, our method can correctly determine unknown breaks, and estimated break dates are sufficiently close true dates. obtain estimates coefficients post Lasso establish asymptotic distributions both ratios coefficients. also propose validate a data-driven tuning parameter. Monte Carlo simulations demonstrate...
In this paper, we investigate the spectral coexistence between a multiple-input multiple-output (MIMO) communication system and MIMO radar which inspects multiple range gates with non-homogeneous interference. We consider two formulations for joint resource allocation, aiming at minimizing inverse of harmonic mean signal-to-interference-plus noise ratio (SINR) across inspected by under constraint on mutual information or properly-weighted difference SINR's information, respectively. The...
Nowadays, the freshness of status update data is critical for emergent tasks in wireless sensor networks (WSNs). This paper analyzes peak age information (PAoI) transaction-confirmation process blockchain technology context unmanned aerial vehicle (UAV) aided networks. Each access node transmits latest packets to associated node, which processes relying on technology. We investigate based a finite-buffer batch-service <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML"...
With the development of autonomous driving and emergence various intelligent traffic scenarios, object detection technology based on deep learning is more widely applied to real scenarios. Commonly used devices include LiDAR cameras. Since implementation scene target requires mass production, advantages millimeter-wave radar have emerged, such as low cost no interference from external environment. The performance cameras greatly reduced due their sensitivity light, which affects at night in...
The volatile organic compounds (VOCs) enrichment technology is of great significance to an electronic nose (e-nose) system. In this article, a novel preconcentration system and conformal sensor chamber are designed by combining conventional e-nose with VOCs technology. aim article find the optimum sweeping speed based on chamber. connectivity diffusion analyzed FLUENT simulation so that it meaningful measure array in performance adsorption tube at different speeds tested gas chromatography...
In this article, we investigate a novel multisensor odor detection system (electronic nose) for low-concentration volatile organic compounds (VOCs). order to break through the limitation detecting low concentration VOCs, design conformal symmetric preconcentration unit structure based on finite element method. A typical application exhaled breath is developed proposed scheme. The designed can increase of concentrated substance, so that sensor detect it. Besides, choose alveolar gas at bottom...
This article presents a novel sensor array optimization scheme for multisensor electronic nose detection system. A system architecture with is first proposed to implement the medical detection, including bacterial culture medium and animal wound infection detection. The efficiency evaluated by comparing field asymmetric ion mobility spectrometry (FAIMS) To further improve effect reduce number of sensors system, we then derive two procedures based on factor analysis Hilbert–Schmidt...
In smart transportation, assisted driving relies on data integration from various sensors, notably LiDAR and cameras. However, their optical performance can degrade under adverse weather conditions, potentially compromising vehicle safety. Millimeter-wave radar, which overcome these issues more economically, has been re-evaluated. Despite this, developing an accurate detection model is challenging due to significant noise interference limited semantic information. To address practical...