A5102988843- Astrophysics and Cosmic Phenomena
- Solar and Space Plasma Dynamics
- Face and Expression Recognition
- Particle Detector Development and Performance
- Dark Matter and Cosmic Phenomena
- Emotion and Mood Recognition
- Face recognition and analysis
- Electrocatalysts for Energy Conversion
- Advanced Neural Network Applications
- Neutrino Physics Research
- Crystallization and Solubility Studies
- X-ray Diffraction in Crystallography
- Video Surveillance and Tracking Methods
- Biometric Identification and Security
- Advanced Computing and Algorithms
- Advanced Image and Video Retrieval Techniques
- Particle physics theoretical and experimental studies
- Particle Accelerators and Free-Electron Lasers
- CO2 Reduction Techniques and Catalysts
- Solar Radiation and Photovoltaics
- Pulsars and Gravitational Waves Research
- Radiation Detection and Scintillator Technologies
- High-Energy Particle Collisions Research
- Ionic liquids properties and applications
- Advanced Vision and Imaging
Beijing University of Chemical Technology
2023-2025
Zhejiang Normal University
2024
Guilin University of Electronic Technology
2024
Chinese Academy of Sciences
2014-2023
Shanghai University of Electric Power
2008-2023
Shandong University
2011-2023
Institute of High Energy Physics
2014-2023
Vision Technology (United States)
2023
Facing Our Risk of Cancer Empowered
2021
PowerChina (China)
2019
Fabricating heterogeneous interfaces is an effective approach to improve the intrinsic activity of noble-metal-free catalysts for water splitting. Herein, 3D copper-nickel selenide (CuNi@NiSe) nanodendrites with abundant heterointerfaces are constructed by a precise multi-step wet chemistry method. Notably, CuNi@NiSe only needs 293 and 41 mV at 10 mA cm-2 oxygen evolution reaction (OER) hydrogen (HER), respectively. Moreover, assembled system just requires 2.2 V 1000 in anion exchange...
Abstract We report on the analysis of 10–1000 TeV large-scale sidereal anisotropy Galactic cosmic rays (GCRs) with data collected by Tibet Air Shower Array from 1995 October to 2010 February. In this analysis, we improve energy estimate and extend decl. range down −30°. find that maps above 100 are distinct at a multi-TeV band. The so-called tail-in loss-cone features identified low energies get less significant, new component appears ∼100 TeV. spatial distribution GCR intensity an excess...
The comprehensive understanding of the effect chemical environment surrounding active sites on pathway for electrochemical carbon dioxide reduction reaction (eCO2RR) is essential development advanced catalysts large-scale applications. Based a series model engineered by coordination copper ions with various isomers phenylenediamine [i.e., o-phenylenediamine (oPD), m-phenylenediamine (mPD), and p-phenylenediamine (pPD)] featuring two amino groups in ortho-, meta-, para-positions, steric...
We report observations of gamma-ray emissions with energies in the 100 TeV energy region from Cygnus our Galaxy. Two sources are significantly detected directions OB1 and OB2 associations. Based on their positional coincidences, we associate one a pulsar PSR J2032+4127 other mainly wind nebula PWN G75.2+0.1 moving away its original birthplace situated around centroid observed emission. This work would stimulate further studies particle acceleration mechanisms at these sources.
Abstract Gamma rays from HESS J1849−000, a middle-aged TeV pulsar wind nebula (PWN), are observed by the Tibet air shower array and muon detector array. The detection significance of gamma reaches 4.0 σ 4.4 levels above 25 100 TeV, respectively, in units Gaussian standard deviation . energy spectrum measured between 40 < E 320 for first time is described with simple power-law function <?CDATA ${dN}/{dE}={(2.86\pm 1.44)\times {10}^{-16}(E/40\,\mathrm{TeV})}^{-2.24\pm...
The task of UAV-view geo-localization is to estimate the localization a query satellite/drone image by matching it against reference dataset consisting drone/satellite images. Though tremendous strides have been made in feature alignment between satellite and drone views, vast differences both inter intra-class due changes viewpoint, altitude, lighting remain huge challenge. In this paper, style based dynamic observation method for proposed meet above challenges from two perspectives: visual...
Abstract We examine the possible influence of Earth-directed coronal mass ejections (ECMEs) on Sun’s shadow in 3 TeV cosmic-ray intensity observed by Tibet-III air shower (AS) array. confirm a clear solar-cycle variation deficit during ten years between 2000 and 2009. This is overall reproduced our Monte Carlo (MC) simulations based potential field model solar magnetic averaged over each rotation period. find, however, that magnitude significantly less than predicted MC simulations,...
In this paper, we introduce spatiotemporal energy modeling for foreground segmentation in multiple object tracking, a high accuracy and real-time target extraction algorithm. From single video sequence with moving objects stationary background, our algorithm combines spatial (color distribution) temporal (variety between two consecutive frames) information to extract accurately efficiently. The key idea of method is employ tracking results as feedback cues detection the next frame, which...
FPGAs are increasingly being used to design high-end computationally intense microprocessors capable of implementing floating-point operations based hardware accelerators. In this paper, the throughput was improved by increasing number pipelining stages adder, and feasibility advancing system clock rate researched making most plenty flip-flops in FPGAs. The multi-paths adder/subtractor architecture that separate exponents/mantissas addition/subtraction datapaths presented. On Alterapsilas...
Facial expression recognition (FER) has applications in many scenarios, making it a valuable research direction. However, due to the uncertainty of real-world images, their accuracy is not satisfying. To deal with this problem, we propose two attention modules-based network that uses different modules extract features. The main classifier self-attention module (SAM), and auxiliary channel enhancement module. At same time, classification results classifiers are constrained by variance...
We have started a new hybrid air shower experiment at Yangbajing (4300 m a.s.l.) in Tibet February 2014. This consists of the YAC-II comprised 124 core detectors placed form square grid 1.9 spacing covering about 500 m2, Tibet-III array with total area 50,000 m2 and underground MD consisting 80 cells, 4,200 m2. hybrid-array system is used to observe showers high energy celestial gamma-ray origin those nuclear-component origin. In this paper, short review will be followed by an overview on...
Under pedestrian and vehicle mixed traffic conditions, the potential accident rate is high due to a complex environment. In order solve this problem, we present real-time cognitive vision system. scene-capture level, foreground objects are extracted based on combination of spatial temporal information. Then, coarse-to-fine algorithm employed in tracking. After filtering-based normal tracking, problems target blob missing, merging, splitting resolved by adaptive tracking modification method...
Although modeling self-attention can significantly reduce computational complexity, human pose estimation performance is still affected by occlusion and background noise, undifferentiated feature fusion leads to significant information loss. To address these issues, we propose a novel framework called DatPose (deformable convolution attention for estimation), which combines deformable relieve issues. Considering that the keypoints of body are mostly distributed at edge body, adopt strategy...