- Advanced Chemical Sensor Technologies
- Insect Pheromone Research and Control
- Olfactory and Sensory Function Studies
- Distributed and Parallel Computing Systems
- Scoliosis diagnosis and treatment
- Software-Defined Networks and 5G
- Simulation Techniques and Applications
- Video Surveillance and Tracking Methods
- Cloud Computing and Resource Management
- Inertial Sensor and Navigation
- Fire Detection and Safety Systems
- Network Security and Intrusion Detection
- Combustion and flame dynamics
- GNSS positioning and interference
- Healthcare and Venom Research
- Neurobiology and Insect Physiology Research
- Spine and Intervertebral Disc Pathology
- Human Pose and Action Recognition
- Spinal Fractures and Fixation Techniques
- IoT and Edge/Fog Computing
- Millimeter-Wave Propagation and Modeling
- Knee injuries and reconstruction techniques
- Wireless Body Area Networks
- Corruption and Economic Development
- Acupuncture Treatment Research Studies
Fujian University of Traditional Chinese Medicine
2023-2024
Tianjin University
2019-2023
Shanghai University
1998-2023
National University of Defense Technology
2005-2022
Peking University
2009
Hohai University
2009
Accurate and prompt localization of hazardous release sources ensures a timely emergency response to potential damages. Robot odor source is the study locating based on mobile robots in real‐time, which has been experiencing rapid growth recent years. This paper presents review this field, focusing progress development trends. Research works are grouped according method principles, leading four categories: reactive methods, heuristic searching probabilistic inference learning methods. The...
Smoke is an informative indicator of early fire and gas leakage. Segmenting the smoke from images can provide detailed information about volume, dispersion direction, source location, which has significant implications considering proliferation video surveillance systems in cities. Focusing on segmentation urban scene, we designed a dual-branch model, named SmokeSeger, couples transformer branch convolutional neural network (CNN) to enhance representation both global local features. To...
In-vehicle air pollution, especially the volatile organic compounds (VOCs) pollutants, is an important source of passenger discomforts and consumer complaints. In this work, we designed a portable instrument based on electronic nose (e-nose) to address task subjective assessment in-vehicle quality (IAQ). Our consists three modules: 1) preconcentrating module that concentrates VOCs detectable level through adsorption desorption; 2) sensing measures odor fingerprints target gas with array...
The aim of this study is to identify types and grades Chinese liquors. For this, a hand-held electronic nose (e-nose) system designed triangular difference-based binary coding (TDBC) recognition method proposed. test sample liquors, features extracted from five gas sensors the e-nose are converted codes (0 1) for each liquor category. Specifically, category, if feature value within range all training samples, we mark it as 1, otherwise 0. Subsequently, sum calculated, category corresponding...
Smoke detection has been a research focus due to its application value in fire and toxic gas leakage alarms. Here we formulate novel paradigm for in-depth smoke analysis: modeling the plume an image with two semantic keypoints, i.e., start-point (where comes from) end-point spreads), localizing keypoints through heatmap-based method. A specialized dataset is developed keypoint detection, collecting images online manually annotating keypoints. Based on dataset, propose Transformer-based model...
Physical activities such as walking and climbing stairs are pervasive in human daily life. Individuals with scoliosis frequently encounter dysfunction their muscle recruitment. Multiple studies have corroborated the presence of individuals diagnosed scoliosis. However, there is currently a noteworthy research gap regarding exploration changes characteristics disparities from those observed without during everyday activities, specifically stair climbing. This study aims to examine unique...
Background contextTraditional 3D motion analysis typically considers the spine as a rigid entity. Nevertheless, previous single-joint models have proven inadequate in evaluating movement across different spinal segments patients with idiopathic scoliosis (IS). Scoliosis significantly impairs functions, especially during activities such ascending and descending stairs. There is lack of research on patterns stair specifically for IS.PurposeThis study aims to investigate trunk kinematics...
Using a panel data at the provincial level during period of 1989–2004, this paper examines effects social and economic factors such as government scale, privatization, openness, education on regional corruption. Applying fixed-effect model IV estimation, we find that size positively affects incidence rate corruption, effect becomes larger with increase in core department government. 1% leads to 0.68%–1% number corruption cases. While proportion FDI is associated officials, ratio import...
In recent years, rapidly increasing Internet-scale services are deployed in production data centers, which causes a huge amount of energy consumption and environment problem. It is challenge for these centers to reduce while satisfying the performance requirement services. Servers usually heterogeneous, makes task scheduling process more sophisticated. This paper first analyzes explores two types heterogeneity from publicly Google cluster trace. Based on analysis results, we model problem...
Mobile robot-based odor source localization (OSL) has broad applications in various industrial and daily-life scenarios. To this end, a deep learning-based compass is designed work. Functionally, the divided into three primary modules, which are sensing module (i.e., sensor array composed of four metal-oxide-semiconductor (MOS) gas sensors), communication module, remote data processing algorithm). In particular, attention (DL-OA) model proposed to realize an end-to-end direction estimation...
With the development of distributed modeling and simulation, it is necessary for RTI to support large-scale applications. However, many RTIs can not simulations with more than 100 federates very well nowadays. StarLink+ an developed according IEEE 1516 standard, which be used thousands federates. Great innovations are made in StarLink+, such as its architecture inner implementation technologies. This paper presents two-level StarLink+. The unique has advantages both central architecture. To...
The high level architecture (HLA) time management is concerned with mechanisms for guaranteeing message order, process synchronization and execution correctness in distributed simulations. Time greatly influences on the scales of applications, especially computation greatest available logical (GALT) implementation optimistic services. StarLink an RTI central architecture, which compliant IEEE 1516 standard. This paper systematically describes algorithms main services StarLink. Two smart...
A single unmanned-aerial-vehicle (UAV) based odor source localization (OSL) method for outdoor multi-building environments was proposed. The simulated annealing (SA) algorithm introduced in this problem consideration of the difficulties relatively large search space, turbulent airflow building environment, and local concentration extrema near walls. To avoid effect rotating UAV rotors on airflow, a tunable diode laser absorption spectroscopy (TDLAS) rather than contact gas sensor used to...
Terahertz communication is emerging as a potential technology to support thousands of Gbps throughput and ultra low delay. Therefore, it regarded future for data center networking. However, the unique characteristics bands make extremely challenging design efficient Medium Access Control (MAC) protocols wireless centers. Specifically, problems channel utilization lack quality service in networking should be well investigated. In this paper, we propose centralized architecture with two...
The High Level Architecture (HLA) time management is concerned with mechanisms for guaranteeing message order, process synchronization and execution correctness in distributed simulations. Time greatly influences on the scales of applications, especially computation Greatest Available Logical (GALT) implementation optimistic services. StarLink an RTI central architecture, which compliant IEEE 1516 standard. This paper systematically describes algorithms main services StarLink. Two smart...
In view of the negative influence rotor wake (i.e. aero-olfactory effect, short name is AO effect) on gas distribution, this paper proposed an AO-effect elimination algorithm for UAV (Unmanned Aerial Vehicle) based three-dimensional (3D) distribution mapping (GDM). Firstly, two types effects, i.e. lateral effect and vertical were summarized experimental phenomena. Secondly, induced gas-patch path was calculated prescribed model, eliminated by estimating original position detected patch...
Abstract Currently, the four major Global Navigation Satellite Systems (GNSS) are capable of supporting multi-frequency signals, and Real-time (RT) State Space Representation (SSR) correction products have been enriched improved. Multi-GNSS, observations multiple satellite RT SSR present new opportunities to implement precise time transfer. This study extends traditional post-processing dual-frequency undifferenced (UD) Precise Point Positioning (PPP) transfer scenarios, establishes models...
Beidou1 satellite navigation system has two kinds of and positioning system, RNSS RDSS. RDSS service provided by Beidou is wildly used in water resources, mitigation, maritime, marine fisheries forest fire prevention so on. In positioning, precision elevation data close to the user's location required. With promotion applications, it almost impossible get high near users, users will have great error, which would a impact on results. This paper analyzes changes position error when large....
Gas distribution mapping (GDM) is the process of reconstructing dense gas map target area based on sparse sampling information. GDM could provide a decision-making basis for emergencies like hazardous leakage response. This paper introduces deep learning-based image super-resolution method into research, and proposes squeeze-and-excitation enhanced (SE-EDSR) network distribution. The proposed trained tested dataset generated by widely used dispersion simulator. Experiments show that error...
Fractionated spacecraft such as system F6, has the potential to significantly enhance adaptability and survivability of space capabilities, while also shortening development time for complex systems. It become an important trend in small sized satellite. SpaceWire been widely adopted satellite its high throughput communication simplicity design, it is believed that will be deployed a common standard satellites. However, lacks capability communicate fractionated scenario. In this paper, we...
This paper proposes a method to simulate odor diffusion process under the wing-in-ground aerodynamic olfactory effect for gas-sensitive rotorcrafts and verifies its correctness by experiments. When an aircraft is flying close ground, flow characteristics will be affected induced drag wake volocity changed, which called effect. The of plume different from normal conditions. In this paper, simulated opposite two mirrored wakes. converts influence ground on vortexes into that vortexes. Inspired...