A5013747973- Air Traffic Management and Optimization
- Advanced Vision and Imaging
- Robotic Path Planning Algorithms
- Aviation Industry Analysis and Trends
- Advanced Image Processing Techniques
- Facility Location and Emergency Management
- Evacuation and Crowd Dynamics
- Video Coding and Compression Technologies
- Advanced Surface Polishing Techniques
- Advanced Machining and Optimization Techniques
- Vehicle Routing Optimization Methods
- Network Security and Intrusion Detection
- Advanced machining processes and optimization
- Advanced Fiber Optic Sensors
- Aerospace and Aviation Technology
- Target Tracking and Data Fusion in Sensor Networks
- Direction-of-Arrival Estimation Techniques
- Advanced Optical Imaging Technologies
- Traffic control and management
- Speech and Audio Processing
- Robotics and Sensor-Based Localization
- Polysaccharides Composition and Applications
- Aerospace Engineering and Energy Systems
- Outsourcing and Supply Chain Management
- Caching and Content Delivery
Shenyang Sport University
2025
Harbin University of Commerce
2024-2025
Nanjing University of Aeronautics and Astronautics
1995-2024
Chinese Academy of Tropical Agricultural Sciences
2021-2024
Xi'an Honghui Hospital
2023-2024
Xi'an Jiaotong University
2023-2024
Ministry of Agriculture and Rural Affairs
2024
Sun Yat-sen Memorial Hospital
2024
Sun Yat-sen University
2024
Liaocheng University
2024
We study the problem of visualizing large-scale and high-dimensional data in a low-dimensional (typically 2D or 3D) space. Much success has been reported recently by techniques that first compute similarity structure points then project them into space with preserved. These two steps suffer from considerable computational costs, preventing state-of-the-art methods such as t-SNE scaling to (e.g., millions hundreds dimensions). propose LargeVis, technique constructs an accurately approximated...
Abstract The pharmacokinetic variability of lamotrigine (LTG) plays a significant role in its dosing requirements. Our goal here was to use noninvasive clinical parameters predict the dose-adjusted concentrations (C/D ratio) LTG based on machine learning (ML) algorithms. A total 1141 therapeutic drug-monitoring measurements were used, 80% which randomly selected as "derivation cohort" develop prediction algorithm, and remaining 20% constituted "validation test finally model. Fifteen ML...
Reliable prediction of landslide occurrence is important for hazard risk reduction and prevention. Taking Guixi in northeast Jiangxi as an example, this research aimed to conduct such a assessment using multiple logistic regression (MLR) algorithm. Field-investigated landslides non-landslide sites were converted into polygons. We randomly generated 50,000 sampling points intersect these polygons the intersected divided two parts, training set (TS) validation (VT) ratio 7 3. Thirteen...
Background. Diabetic retinopathy (DR) is a diabetic microvascular complication and leading cause of vision loss. However, there lack effective strategies to reduce the risk DR currently. The present study aimed at assessing causal effect lipid-regulating targets on using two-sample Mendelian randomization (MR) study. Method. Genetic variants within or near drug target genes, including eight for LDL-C (HMGCR, PCSK9, NPC1L1), HDL-C (CETP, SCARB1, PPARG), TG (PPARA LPL), were selected as...
Protective autophagy is a promising target for antitumor drug exploration. A hydroxychloroquine (HCQ) platinum(IV) complex with suppressing potency was developed, which displayed potent activities TGI rate of 44.2% against 4T1 tumors
This work explores the effective application of deep learning for recognizing athletes’ movements, aiming to enhance precision in competitive sports. Traditional motion analysis methods primarily rely on manual observation, which can introduce subjective bias and limit accuracy. To address these limitations, we propose an automated method based classifying technical movements while evaluating their performance. A hybrid model, combining Convolutional Neural Networks (CNN) Long Short-Term...
The development of advanced starch-based materials is hindered by limited understanding structure-dependent phenolic acid (PA) binding mechanisms. This study employed a multi-technique approach (Fourier-transform infrared, x-ray diffraction, rheology, molecular docking) to investigate 16 PAs with varying hydroxylation patterns and methoxy substitutions. Three distinct modes were identified: (1) Polyhydroxylated acids (e.g., gallic [GA]) formed bridge-structured complexes amylose helices (ΔH:...
This article develops an analytical framework to connect the theories of market and planning failures with reasoning incorporating land use pricing policies for reducing driving car dependence. A multilevel multinomial logit model (MML) is applied estimate effects neighbourhood characteristics price variables on travel mode choice non-work trips their interaction in city Austin, Texas. Results reveal that are more efficient auto while appear better adjusting non-auto travel. The practical...
China is one of the world's main producers macadamia. The macadamia green peel (MGP), byproducts industrial processing, are commonly discarded for use as fertilizer. In this study, ultrasound-assisted extraction and purification process phenolic compounds from MGP were optimized, identification analysis antioxidant activities purified extracts performed. Results indicated that optimal conditions sonication power 140 W, solid-liquid ratio 1:45 g/mL, temperature 43 °C, total content (TPC) was...
High-efficiency taxiing for safe operations is needed by all types of aircraft in busy airports to reduce congestion and lessen fuel consumption carbon emissions. This task a challenge the operation control airport’s surface. Previous studies on optimization airport surfaces have rarely integrated waiting constraints taxiway into multi-objective time Such also combine changes environment (such as elevation, field pressure, temperature, etc.) with surface taxiing. In this study, method an...
Stealthy attacks are a major threat to cyber security. In practice, both attackers and defenders have resource constraints that could limit their capabilities. Hence, develop robust defense strategies, promising approach is utilize game theory understand the fundamental tradeoffs involved. Previous works in this direction, however, mainly focus on single-node case without considering strict constraints. paper, game-theoretic model for protecting system of multiple nodes against stealthy...
Abstract A depth-image-based rendering (DIBR) method with spatial and temporal texture synthesis is presented in this article. Theoretically, the DIBR algorithm can be used to generate arbitrary virtual views of same scene a three-dimensional television system. But disoccluded area, which occluded original becomes visible views, makes it very difficult obtain high image quality extrapolated views. The proposed view combines temporally stationary information extracted from input video current...
Accurate estimation of the fuel consumed during aircraft operation is key for determining load, reducing airline operating cost, and mitigating environmental impacts. Aerodynamic parameters in current consumption models are obtained from a static diagram extracted outcomes wind tunnel experiments. Given that these experiments performed lab setting, cannot be used to estimate additional caused by performance degradation. In addition, experiment results rarely involve influence crosswind on...
Scan detection is one of the most important functions in intrusion systems. In order to keep up with ever-higher line speed, recent research trend implement scan fast but small SRAM. This leads a difficult technical challenge because amount traffic be monitored huge on-die memory space for performing such monitoring task very limited. We propose an efficient scheme based on dynamic bit sharing, which incorporates probabilistic sampling and sharing compact information storage. design maximum...
Novel image processing methods are presented in this work for 3D synthesis of multiview images and crosstalk reduction to improve the perceived quality lenticular autostereoscopic displays. First, optimizing intensity a screen subpixel mapped fraction view number, weighting method is proposed blend intensities corresponding subpixels from two neighboring integer by minimizing mean square error. Experimental results show that, comparing with conventional rounding method, can effectively...
A dynamic model is proposed and validated to analyze the landing performance of a vertical reusable launch vehicle (RLV) with novel oleo-honeycomb two-stage damper. Based on this design requirements, seven critical conditions are found as foundation following multiobjective multiconstraint optimization for In order overcome time-consuming variable coupling problem optimization, combinatorial method verified collaborative (CO) combined an archive-based micro-genetic algorithm (AMGA)....
This study tackled the multimodal facility location problem in emergency medical rescue. First, an intermodal setting was suggested, i.e., considering cooperation between ground ambulances and helicopters rescues. Specifically, four scheduling modes were structured: air only, air-ground combined mode if landing take-off site for near wounded is available, transshipment not available. Second, a two-stage covering model proposed. In first stage, set-covering developed to achieve maximum...
Via material erosion in wire electrical discharge machining (WEDM), recast layers form on the surfaces of workpiece. In addition, ultra fine Wire-EDM can be usually cut once. To reduce thickness layer as much possible, discharge-electrochemical (WEDCM) method was proposed, which is based micro conductivity dielectric and microelectrolytic characteristics by adjusting no-load rate pulse process. Furthermore, a state discrimination servo control system current designed. The experiment results...