- GNSS positioning and interference
- Fluid Dynamics and Turbulent Flows
- Indoor and Outdoor Localization Technologies
- Banking stability, regulation, efficiency
- Cloud Computing and Resource Management
- Target Tracking and Data Fusion in Sensor Networks
- Complex Systems and Time Series Analysis
- IoT and Edge/Fog Computing
- Inertial Sensor and Navigation
- Robotics and Sensor-Based Localization
- Nanofluid Flow and Heat Transfer
- Economic theories and models
- Geophysics and Gravity Measurements
- Advanced Decision-Making Techniques
- Thyroid Cancer Diagnosis and Treatment
- Distributed and Parallel Computing Systems
- Advanced Vision and Imaging
- Regional Development and Environment
- biodegradable polymer synthesis and properties
- Advanced Computational Techniques and Applications
- Meteorological Phenomena and Simulations
- Data Management and Algorithms
- Wind and Air Flow Studies
- Geological Modeling and Analysis
- Advanced Algorithms and Applications
Nanjing University of Finance and Economics
2016-2025
Liaoning Technical University
2009-2024
China Academy of Launch Vehicle Technology
2021-2024
United Imaging Healthcare (China)
2024
Nanjing Tech University
2023-2024
Harbin University of Science and Technology
2024
Third Hospital of Hebei Medical University
2008-2023
Hebei Medical University
2008-2023
Jilin Provincial Academy of Forestry Science
2023
Changchun University of Science and Technology
2017-2022
High-accuracy localization systems for non-line-of-sight (NLOS) environments have been a popular focus of research on indoor positioning. In particular, the use ultra-wideband (UWB) technology ranging is emerging as an effective method due to its high accuracy. To improve overall performance UWB systems, combining with inertial navigation system (INS) commonly used positioning approach. However, measurements are affected by outliers under NLOS propagation radio signals. addition, INS tend...
Reliable absolute positioning is indispensable in long-term systems. Although simultaneous localization and mapping based on light detection ranging (LiDAR-SLAM) effective global navigation satellite system (GNSS)-denied environments, it can provide only local results, with error divergence over distance. Ultrawideband (UWB) technology an alternative; however, non-line-of-sight (NLOS) propagation complex indoor environments severely affects the precision of UWB positioning, LiDAR-SLAM...
The flow produced in an enclosed cylinder of height-to-radius ratio two by the counter-rotation top and bottom disks is numerically investigated. When Reynolds number based on radius disk rotation increased, axisymmetric basic state loses stability different complex flows appear successively: steady states with azimuthal wavenumber 1; travelling waves; near-heteroclinic cycles; 2. This scenario understood a dynamical system context as being due to nearly codimension-two bifurcation presence...
The transition to unsteadiness and the dynamics of weakly turbulent natural convection, coupled wall or gas radiation in a differentially heated cubical cavity with adiabatic lateral walls, are studied numerically. working fluid is air small contents water vapor carbon dioxide whose infrared spectral radiative properties modelled by absorption distribution function model. A pseudo Chebyshev collocation method used solve flow field equations direct ray tracing for transport. Flow structures...
The GNSS derived Zenith Tropospheric Delay (ZTD) plays today a very critical role in meteorological study and weather forecasts, as ZTDs of thousands stations are operationally assimilated into numerical prediction models. Recently, the Chinese BeiDou Navigation Satellite System (BDS) was officially announced to provide operational services around China its neighborhood it demonstrated be promising for precise navigation positioning. In this contribution, we concentrate on estimating ZTD...
Background:: Ultrasound test is one of the routine tests for diagnosis thyroid cancer. The accuracy depends largely on correct interpretation ultrasound images nodules. However, human eye-based image recognition usually subjective and sometimes error-prone especially less experienced doctors, which presents a need computeraided diagnostic systems. Objective: : To our best knowledge, there no well-maintained database Chinese population. In addition, though are several computational methods...
With the rapid increase of user access, load balancing in cloud data center has become an important factor affecting cluster stability. From point view green scheduling, this paper proposed a virtual machine intelligent scheduling strategy based on learning algorithm to achieve center. Firstly, forecasting genetic (SVR_GA), k-means clustering optimized min-max, and adaptive differential evolution (ESA_DE) enhance local search ability are solve imbalance problem The experimental results...
Recently, the integration of an inertial navigation system (INS) and Global Positioning System (GPS) with a two-antenna GPS receiver has been suggested to improve stability accuracy in harsh environments. As is well known, statistics state process noise measurement are critical factors avoid numerical problems obtain stable accurate estimates. In this paper, modified extended Kalman filter (EKF) proposed by properly adapting observation noises through innovation-based adaptive estimation...
Taking Hainan Boao Liuke Village as an example, this paper discusses how to realize the reproduction of beautiful villages through planning and design from perspective cultural inheritance. This studies analyzes protect utilize traditional village culture in process rural revitalization, promote economic social development tourism development. Through case study Village, provides a reference for protection other Province, helps sustainable areas Free Trade Port. The research focuses on...
This study establishes a combination method-based prediction model for the CSI 300 stock index price embedded with options market information. Firstly, utilizing and spot information, BP neural network is employed to predict price. Secondly, logical framework based on method constructed further optimize through decomposition–clustering, error adjustment, weighted integration approaches. The results demonstrate following: (1) Compared predictions solely introduction of information...
The structured road is a scene with high interaction between vehicles, but due to the uncertainty of behavior, prediction vehicle behavior still challenge. This significant for controlling ego-vehicle. We propose an model based on cluster (VC) by self-attention (VC-Attention) improve performance. Firstly, five-vehicle structure designed extract interactive features ego-vehicle and target vehicle, such as Deceleration Rate Avoid Crash (DRAC) lane gap. In addition, proposed utilizes sliding...
The dynamic travel time prediction is important contents of intelligent Transportation System. Dynamic updating the by model on same path or segment journey. Different forecasting models are corresponded to different methods, and methods accuracy. Contrast existing such as historical trends method, non-parametric regression, series, neural networks, Kalman filtering best in information forecasts. Due unpredictability traffic Factor impacting time, change have not strict laws. while filter...
The diagnostic value of contrast-enhanced ultrasound (CEUS) or real-time elastography (RTE) alone, as well a combination CEUS and RTE, in distinguishing benign from malignant thyroid nodules was investigated. Between August 2012 June 2014, total 97 consecutive patients (50 male 47 female patients; mean age, 48.6±12.4; age range, 27-70 years) with referred for surgical treatment were examined by RTE. final diagnosis obtained based on histological findings. Image analysis the RTE scans...
The credit card business has become an indispensable financial service for commercial banks. With the development of business, banks have achieved outstanding results in maintaining existing customers, tapping potential and market share. During operations, massive amounts data multiple dimensions—including basic customer information; billing, installment, repayment transaction flows; overdue records—are generated. Compared with preloan postloan links, user default prediction on-loan link a...
Seamless positioning systems for complex environments have been a popular focus of research on safety autonomous vehicles (AVs). In particular, the seamless high-precision AVs indoors and outdoors still poses considerable challenges requires continuous, reliable, information to guarantee driving. To obtain effective information, multiconstellation global navigation satellite system (multi-GNSS) real-time kinematics (RTK) an inertial (INS) widely integrated into AVs. However, multi-GNSS INS...
In this study, we propose a tightly coupled integrated method of ultrawideband (UWB) and light detection ranging (LiDAR)-based simultaneous localization mapping (SLAM) for global navigation satellite system (GNSS)-denied environments to achieve high-precision positioning with reduced drift. Specifically, focus on non-line-of-sight (NLOS) identification correction. previous work, utilized laser point cloud maps identify exclude NLOS measurements in real time attenuate their severe effects the...
With the increasing complexity of electromagnetic environment and continuous progress electronic interference technology, Global Navigation Satellite System (GNSS) spoofing attacks have become a practical threat. As result, focus GNSS improvement has shifted from improving accuracy to reliability. Combining an inertial navigation system (INS) is effective for detection mitigation since INS can independently provide high frequency, accuracy, multi-category information within period time. This...