- Sparse and Compressive Sensing Techniques
- Advanced Image Processing Techniques
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- 3D Shape Modeling and Analysis
- Microwave Imaging and Scattering Analysis
- Image and Signal Denoising Methods
- Advanced Image Fusion Techniques
- Geoscience and Mining Technology
- Photoacoustic and Ultrasonic Imaging
- Blind Source Separation Techniques
- Image Retrieval and Classification Techniques
- Manufacturing Process and Optimization
- Image Processing Techniques and Applications
- Face recognition and analysis
- Computer Graphics and Visualization Techniques
- Multimodal Machine Learning Applications
- Image Processing and 3D Reconstruction
- Robotics and Sensor-Based Localization
- Automated Road and Building Extraction
- Medical Image Segmentation Techniques
- Granular flow and fluidized beds
- Vibration and Dynamic Analysis
- Opportunistic and Delay-Tolerant Networks
- Educational Technology and Assessment
Tsinghua University
2013-2024
Changzhou University
2024
Hefei University of Technology
2024
Zhejiang Shuren University
2024
Changchun University of Science and Technology
2023
State Grid Corporation of China (China)
2023
Wuhan University of Technology
2023
Samsung (China)
2023
Shanghai Electric (China)
2023
Defence Electronics Research Laboratory
2023
With the increasing popularity of electronic cigarette, drug users see popularity, convenience, and concealment cigarette use, add toxic harmful substances such as drugs tranquilizers to cigarette. This type that has been added with illegal is called a "top cigarette". article establishes qualitative quantitative analysis method based on gas chromatography-mass spectrometry for simultaneous rapid detection 12 components in liquid. Method: Weigh 5.0 mg liquid sample, 1.0 mL ultrapure water,...
This paper conducts an in-depth structural optimization study on the actuator of push-off type rotary steering drilling tool based differential evolution method. By using "force synthesis model" and through systematic sensitivity analysis intelligent algorithms, influence laws key operating parameters force are revealed, design scheme is successfully optimized. The research results show that: In stable stationary state: when high-pressure hole angle set to 90°, turntable speed 200 r/min,...
Super resolution methods alleviate the high cost and difficulty in applying infrared image sensors. In this paper we present a novel single super method for images by combining compressive sensing theory deep learning. Low can be regarded as compressed sampling results of ones sensing. With sparsity theory, higher reconstructed. However, because diverse level different images, output contains noise loss frequency information. Deep convolutional neural network provides solution to relieve...
Abstract Efficient semantic segmentation of large-scale point cloud scenes is a fundamental and essential task for perception or understanding the surrounding 3d environments. However, due to vast amount data, it always challenging train deep neural networks efficiently also difficult establish unified model represent different shapes effectively their variety occlusions scene objects. Taking super-patch as data representation guided by its contextual information, we propose novel multiscale...
Light field cameras record not only the spatial information of observed scenes but also directions all incoming light rays. The and angular implicitly contain geometrical characteristics such as multi-view or epipolar geometry, which can be exploited to improve performance depth estimation. An Epipolar Plane Image (EPI), unique 2D spatial-angular slice field, contains patterns oriented lines. slope these lines is associated with disparity. Benefiting from this property EPIs, some...
Compressed sensing (CS) technique has been applied to radar imaging maintain the resolution with reduced amount of data. A necessary step for computation in existing CS regimes is divide scene interest into discrete grids, and scattered signal from each grid approximated as being reflected an ideal point scatterer at center that grid. However, this approximation significantly affects performance due scatterers not centers, or off-grid. Existing algorithms utilize atom optimization iterative...
The Visual Word Sense Disambiguation (VWSD) shared task aims at selecting the image among candidates that best interprets semantics of a target word with short-length phrase for English, Italian, and Farsi. limited context, which only contains 2-3 words, challenges model's understanding ability, visual label requires image-text matching performance across different modalities. In this paper, we propose prompt based multimodal retrieval enhanced VWSD system, uses rich potential knowledge...
This paper presents SymmSketch—a system for creating symmetric 3D free-form shapes from 2D sketches. The reconstruction task usually separates a shape into two types of components, that is, the self-symmetric component and mutual-symmetric components. Each type can be created in an intuitive manner. Using uniform symmetry plane, user first draws sketch lines each on sketching plane. z-depth information hand-drawn input sketches calculated using their property mirror to generate construction...
In order to solve the contradiction of high azimuth resolution and wide swath in sonar radar imaging, narrowband compressed sensing (CS) imaging has been studied depth. This paper studies wideband method via CS. Wideband CS model is constructed. Scaling Doppler frequency shift are considered model. The effect signal traditional analyzed. A modified ℓ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sub> -norm minimization algorithm proposed....
A variety of graph-based algorithms have been proposed to generate attack graph automatically, few which take network performance into consideration and satisfy the purpose vulnerability analysis. In this paper, Virtual Performance Node (VPN) is defined an improved algorithm proposed. The decrease due attacker's incursion in whole regarded as expectation VPNs are chosen net status. This method makes extra ability measure effect with loss. compared other methods analysis experimental network....
This paper proposes a new compressive hyperspectral imaging method, including the design of cost-effective distributed sampling (DS) scheme and an efficient reconstruction model. The scheme, named as separate (DSS), encodes different bands with mutually independent two-dimensional sensing operators. Compared existing DS schemes, DSS reduces lots resource overhead in premise generating measurements low redundancy. Furthermore, contrast to keeps original structure images (HSIs) during...
A development of overlying strata fractures and an unknown distribution the two zones, which results from a strong shock tendency roof short-distance coal seam group mining, are main problems faced by Xiashijie Coal Mine. Consequently, experiment has been conducted; here steps: designing underlying law two-zone physical similarity simulation test under combined using BT-AE to comonitor fracture characteristics caving zone water-conducting fractured zone, combining with 3DEC comparative...
The development of virtualization technology has promoted the computers in education, and reform basic education courses profound reforms science education. integration teaching is an inevitable trend information it also training requirement talents with scientific culture innovation ability. This article takes undergraduates as research object aims at application characteristics local higher institutions, combined purpose technical personnel training, practical ability, to establish a...
Wavelet-domain hidden Markov models (HMMs), and in particular, tree (HMT), have been recently proposed applied to image denoising. In this paper, we present the model corresponding algorithm based on frame-domain. This can effectively capture correlation of wavelet frame coefficients, apply for Furthermore, two new algorithms are developed We demonstrate performance our method some text images with very encouraging results.
In this paper, a novel synthetic aperture imaging method based on compressed sensing (CS) is presented. The method, employing sampling matrix, provides new scheme to prevent from azimuth ambiguity in wider swath observation. With fewer observations, the acceptable results and solves problem successfully. requires no modification hardware of contemporary devices but lower pulse repetition frequency. It shares advantages reduced data amount, side lobe distort as well. Experiments are conducted...
Accurate visual re-localization is very critical to many artificial intelligence applications, such as augmented reality, virtual robotics and autonomous driving. To accomplish this task, we propose an integrated method called RLOCS by combining image retrieval, semantic consistency geometry verification achieve accurate estimations. The localization pipeline designed a coarse-to-fine paradigm. In the retrieval part, cascade architecture of ResNet101-GeM-ArcFace employ DBSCAN followed...
In this study, sophisticated fluid simulations employing the Shear Stress Transport (SST) k-ω model with transition equations furnish a high-fidelity hydrodynamic for NACA0009 hydrofoils. The demonstrates remarkable alignment experimental findings, particularly in terms of predicted vortex shedding frequencies, thus validating simulation's precision. research illustrates that intentional, active transverse sinusoidal oscillations hydrofoil can modulate shedding, behavior captured through...