Jian Xiao
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View article: Channel Estimation for Flexible Intelligent Metasurfaces: From Model-Based Approaches to Neural Operators
Channel Estimation for Flexible Intelligent Metasurfaces: From Model-Based Approaches to Neural Operators Open
Flexible intelligent metasurfaces (FIMs) offer a new solution for wireless communications by introducing morphological degrees of freedom, dynamically morphing their three-dimensional shape to ensure multipath signals interfere constructiv…
View article: Positivity in the shadow of Hodge index theorem
Positivity in the shadow of Hodge index theorem Open
Taking a compact Kähler manifold as playground, we explore the powerfulness of Hodge index theorem. A main object is the Lorentzian classes on a compact Kähler manifold, behind which the characterization via Lorentzian polynomials over the…
View article: Quantitative Identification of Emission Sources and Emission Dynamics of Pressure-Relieved Methane Under Variable Mining Intensities
Quantitative Identification of Emission Sources and Emission Dynamics of Pressure-Relieved Methane Under Variable Mining Intensities Open
This study addresses the abnormal emission of pressure-relieved methane under high-intensity mining conditions by integrating geostatistical inversion, FLAC3D-COMSOL coupled numerical simulations, and stable carbon–hydrogen isotopic tracin…
View article: Aerial Reliable Collaborative Communications for Terrestrial Mobile Users via Evolutionary Multi-Objective Deep Reinforcement Learning
Aerial Reliable Collaborative Communications for Terrestrial Mobile Users via Evolutionary Multi-Objective Deep Reinforcement Learning Open
Unmanned aerial vehicles (UAVs) have emerged as the potential aerial base stations (BSs) to improve terrestrial communications. However, the limited onboard energy and antenna power of a UAV restrict its communication range and transmissio…
View article: GRMD: A Two-Stage Design Space Exploration Strategy for Customized RNN Accelerators
GRMD: A Two-Stage Design Space Exploration Strategy for Customized RNN Accelerators Open
Recurrent neural networks (RNNs) have produced significant results in many fields, such as natural language processing and speech recognition. Owing to their computational complexity and sequence dependencies, RNNs need to be deployed on c…
View article: LEAVES: An Expandable Light-curve Data Set for Automatic Classification of Variable Stars
LEAVES: An Expandable Light-curve Data Set for Automatic Classification of Variable Stars Open
With the increasing amount of astronomical observation data, it is an inevitable trend to use artificial intelligence methods for automatic analysis and identification of light curves for full samples. However, data sets covering all known…
View article: Analyzing the Optimization of Unloading Gas Extraction Drilling Arrangement Based on Stress Distribution in the Protected Layer
Analyzing the Optimization of Unloading Gas Extraction Drilling Arrangement Based on Stress Distribution in the Protected Layer Open
In the process of protected seam mining, the reduction in stress and the enhancement of the gas mobility that affects the protected seam are crucial manifestations of the protection effect. Taking the working face of E8-32010 and the upper…
View article: Design of Laboratory Open Sharing Informationization Platform Based on B/S Architecture Model
Design of Laboratory Open Sharing Informationization Platform Based on B/S Architecture Model Open
Laboratories, as key sites for scientific research and experimentation, have been driving scientific and technological development. In the laboratory, researchers perform a variety of experiments to analyze. These experiments generate a we…
View article: Human Kinematics-inspired Skeleton-based Video Anomaly Detection
Human Kinematics-inspired Skeleton-based Video Anomaly Detection Open
Previous approaches to detecting human anomalies in videos have typically relied on implicit modeling by directly applying the model to video or skeleton data, potentially resulting in inaccurate modeling of motion information. In this pap…
View article: 3DT-CM: A Low-complexity Cross-matching Algorithm for Large Astronomical Catalogues Using 3d-tree Approach
3DT-CM: A Low-complexity Cross-matching Algorithm for Large Astronomical Catalogues Using 3d-tree Approach Open
Location-based cross-matching is a preprocessing step in astronomy that aims to identify records belonging to the same celestial body based on the angular distance formula. The traditional approach involves comparing each record in one cat…
View article: The intervention effect of ideological education means of college staff on improving mania of college students
The intervention effect of ideological education means of college staff on improving mania of college students Open
Background Mania is one of the common diseases in psychiatric department. With the accelerating pace of life, people are facing more and more pressure. Mental disorders and mentally ill patients are also increasing, especially in the stude…
View article: Spectral similarity‐based feature for hyperspectral image classification
Spectral similarity‐based feature for hyperspectral image classification Open
Based on spectral similarity measure, a unified spectral similarity‐based framework is developed to generate a new series of spectral similarity‐based features for hyperspectral image classification by using classifier, such as support vec…
View article: HLC2: a highly efficient cross-matching framework for large astronomical catalogues on heterogeneous computing environments
HLC2: a highly efficient cross-matching framework for large astronomical catalogues on heterogeneous computing environments Open
Cross-matching operation, which is to find corresponding data for the same celestial object or region from multiple catalogues, is indispensable to astronomical data analysis and research. Due to the large amount of astronomical catalogues…
View article: Variational-Scale Segmentation for Multispectral Remote-Sensing Images Using Spectral Indices
Variational-Scale Segmentation for Multispectral Remote-Sensing Images Using Spectral Indices Open
Many studies have focused on performing variational-scale segmentation to represent various geographical objects in high-resolution remote-sensing images. However, it remains a significant challenge to select the most appropriate scales ba…
View article: Edge feature enhancement approach using hilbert transform of Cauchy distribution and its applications
Edge feature enhancement approach using hilbert transform of Cauchy distribution and its applications Open
Building on past work showing that the Hilbert transform can be used for edge feature enhancement, a new edge feature enhancement method is developed using a two‐dimensional (2D) isotropic Hilbert transform of the Cauchy distribution. Firs…
View article: Extending resolution of structured illumination microscopy with sparse deconvolution
Extending resolution of structured illumination microscopy with sparse deconvolution Open
The spatial resolutions of live-cell super-resolution microscopes are limited by the maximum collected photon flux. Taking advantage of a priori knowledge of the sparsity and continuity of biological structures, we develop a deconvolution …
View article: exYOLO: A small object detector based on YOLOv3 Object Detector
exYOLO: A small object detector based on YOLOv3 Object Detector Open
Object detection is a hot and popular research area in computer vision. Although object detection algorithm will be greatly speeding up with Deep Neural Networks, like YOLOv3 Object Detector, its performance in accuracy and precision was n…
View article: HCGrid: a convolution-based gridding framework for radio astronomy in hybrid computing environments
HCGrid: a convolution-based gridding framework for radio astronomy in hybrid computing environments Open
Gridding operation, which is to map non-uniform data samples on to a uniformly distributed grid, is one of the key steps in radio astronomical data reduction process. One of the main bottlenecks of gridding is the poor computing performanc…
View article: Towards an Astronomical Science Platform: Experiences and Lessons Learned from Chinese Virtual Observatory
Towards an Astronomical Science Platform: Experiences and Lessons Learned from Chinese Virtual Observatory Open
In the era of big data astronomy, next generation telescopes and large sky surveys produce data sets at the TB or even PB level. Due to their large data volumes, these astronomical data sets are extremely difficult to transfer and analyze …
View article: Analysis of water jetting happened in volute manhole of the hydropower plants
Analysis of water jetting happened in volute manhole of the hydropower plants Open
The water injection in the volute manhole of a hydropower plant was investigated and analyzed. The analysis results showed that the main reasons for the cracking and water jetting happened in the volute manhole were that, firstly, the open…
View article: Deep residual detection of radio frequency interference for FAST
Deep residual detection of radio frequency interference for FAST Open
Radio frequency interference (RFI) detection and excision are key steps in the data-processing pipeline of the Five-hundred-meter Aperture Spherical radio Telescope (FAST). Because of its high sensitivity and large data rate, FAST requires…
View article: mcatCS: A Highly Efficient Cross-matching Scheme for Multi-band Astronomical Catalogs
mcatCS: A Highly Efficient Cross-matching Scheme for Multi-band Astronomical Catalogs Open
Multi-band astronomical catalog cross-matching has always been, and will continue to be, indispensable to astronomy research. However, the archived data volume in different wavebands is extremely huge, which results in the cross-matching p…
View article: Analysis of movable guide vane inversion and limited block dropping of hydropower plants
Analysis of movable guide vane inversion and limited block dropping of hydropower plants Open
The fracture signal of shear pin occurs in the process of short time load reduction of AGC. During the stop site inspection, it is found that the shear pin was broken, the guide vane limit block fell off, and the movable guide vane was rev…
View article: Analysis of Technical Supervision over Water Supply Pipeline
Analysis of Technical Supervision over Water Supply Pipeline Open
The main function of technical water supply systems of hydropower stations is for cooling and lubricating water equipment, which is directly related to the safe and stable operation of water turbine generators, water cooled transformers an…
View article: Prognostics and health management system for hydropower plant based on fog computing and docker container
Prognostics and health management system for hydropower plant based on fog computing and docker container Open
In this paper, a novel prognostics and health management system architecture for hydropower plant equipment was proposed based on fog computing and Docker container. We employed the fog node to improve the real-time processing ability of i…