A5103214932- Physics of Superconductivity and Magnetism
- Granular flow and fluidized beds
- Lattice Boltzmann Simulation Studies
- Nuclear Engineering Thermal-Hydraulics
- Advanced Condensed Matter Physics
- Heat and Mass Transfer in Porous Media
- Heat Transfer and Boiling Studies
- ZnO doping and properties
- Magnetic properties of thin films
- Fluid Dynamics and Mixing
- Copper-based nanomaterials and applications
- Video Surveillance and Tracking Methods
- Radiomics and Machine Learning in Medical Imaging
- Advanced machining processes and optimization
- Cyclone Separators and Fluid Dynamics
- GaN-based semiconductor devices and materials
- Landslides and related hazards
- Non-Destructive Testing Techniques
- Magnetic Properties and Applications
- Rare-earth and actinide compounds
- Hand Gesture Recognition Systems
- Advanced MRI Techniques and Applications
- Magnetic and transport properties of perovskites and related materials
- Theoretical and Computational Physics
- Generative Adversarial Networks and Image Synthesis
Tsinghua University
2019-2024
Tianjin University of Technology and Education
2023-2024
University of North Carolina at Chapel Hill
2023-2024
Imaging Center
2023-2024
North Carolina State University
2024
Western Sydney University
2024
Anhui Jianzhu University
2024
Key Laboratory of Nuclear Radiation and Nuclear Energy Technology
2019-2023
Beijing Institute of Petrochemical Technology
2023
Ministry of Agriculture and Rural Affairs
2021
Human activity recognition (HAR) is essential for understanding people’s habits and behaviors, providing an important data source precise marketing research in psychology sociology. Different approaches have been proposed applied to HAR. Data segmentation using a sliding window basic step during the HAR procedure, wherein length directly affects performance. However, generally randomly selected without systematic study. In this study, we examined impact of on smartphone sensor-based human...
Structural, magnetic and electrical properties of the La0.7Ca0.15Sr0.15Mn1−xMoxO3 (0 ⩽ x 0.05) compounds have been investigated. Powder x-ray analysis reveals that sample with = 0 crystallizes in rhombohedral structure, whereas Mo doped samples structure can be indexed by an orthorhombic (Pbnm) structure. The important observations transport are: (i) substitution induces a distinct suppression metal–insulator (TMI) ferromagnetic (FM)—paramagnetic transition (TC) temperature TMI was found to...
Abstract Using official provincial data for gross product, consumer price index and other explanatory variables from 1986 to 2006, the present paper investigates nonlinear effects of inflation on economic growth in China. The main finding study is that threshold effect highly significant robust Above 2.50 percent threshold, every 1‐percentage point increase rate impedes by 0.61 percent; below this stimulates 0.53 percent. This indicates high harms growth, whereas moderate benefits growth. We...
Zn1−x Cr x O nanoparticles with = 0.0, 0.01, 0.03 and 0.05 were synthesized by the sol–gel technique. Powder X-ray diffraction (XRD) studies reveal that chromium (Cr) incorporates into ZnO crystal lattice without disturbing parent hexagonal (wurtzite) structure. Transmission electron microscopy (TEM) measurements show average size of these is in range 15–25 nm. Optical absorption band gap varies doping. Photoluminescence (PL) depict presence defects Cr-doped nanoparticles. Undoped exhibits...
The projection of objects on the earth's surface caused by sunlight produces shadows. They are inevitable in high-spatial-resolution satellite remote sensing images and reduce accuracy change detection, land cover classification, target recognition, many more applications. Dark-colored covers these images, such as water bodies, road, soil, appear with similar spectral properties those shadows often result difficulty shadow especially complex urban settings. We propose an object-oriented...
Prediction of the time-related traits pebble flow inside pebble-bed HTGRs is great significance for reactor operation and design. In this work, an image-driven approach with aid a convolutional neural network (CNN) proposed to predict remaining time initially loaded pebbles interval paired images bed. Two types strategies are put forward: one adding FC layers classic classification CNN models using regression training, other CNN-based deep expectation (DEX) by regarding prediction as task...
(1) To address issues such as a low compression ratio and severe leakage in uniform wall thickness vortex compressors, this paper adopts new scroll compressor model with variable diameter double arc combined profile, which has larger pressure smaller than the equal that can bring ideas methods to research field of compressors. (2) This determines theoretical equation dual circular profile infers mathematical models for line length, working chamber volume, gas per unit rotation angle...
Nickel-based superalloys owes strong high temperature strength and corrosion resistance, are widely used in aerospace other fields. Machining of nickel-based superalloy is a typical thermal-mechanical coupling process. A prediction model cutting force was established for orthogonal cutting, the stress heat calculated. The experiment GH4169 conducted with cermet tool. verified. And distribution on rack face wear tool were analyzed under different parameters. process mainly crater rake face....
Pebble flow characteristics can be significantly affected by the configuration of pebble bed, especially for HTGR beds. How to achieve a desired uniform pattern without stagnation is top priority reactor design. Pebbles flows inside some specially designed bed with arc-shaped contraction configurations at bottom, including both concave-inward and convex-outward shapes are explored based on discrete element method. Flow retention, residence-time frequency density, uniformity as well axial...
Human pose analysis has garnered significant attention within both the research community and practical applications, owing to its expanding array of uses, including gaming, video surveillance, sports performance analysis, human-computer interactions, among others. The advent deep learning significantly improved accuracy capture, making pose-based applications increasingly practical. This paper presents a comprehensive survey utilizing learning, encompassing estimation, tracking, action...
Gathering and managing the data of taxi receipts in reimbursement process consumes a lot manpower. Due to bad painting irregular arrangement receipts, automatic receipt character recognition task has not been solved yet. This paper proposes an text application system based on communication system. In system, Single Shot Multi-Box Detector(SSD) neural network is used determine region, CNN (convolution network)-GRU (gated recurrent unit) combined designed for recognition. For networks, our set...
ABSTRACT: Traditional Villages (TVs) are typical and representative of the agricultural civilization in millions Chinese villages. The distribution TVs shows spatial heterogeneity, based on complexity diversity several influencing factors. In this study, 6,819 were identified factors that affect their screened terms three indicator groups: climatic, geographic, humanity-related Additionally, K-means clustering algorithm clustered into different regions. quantitative relationships between...