- Crystallization and Solubility Studies
- X-ray Diffraction in Crystallography
- Combustion and flame dynamics
- Advanced Combustion Engine Technologies
- Advanced Computational Techniques and Applications
- Generative Adversarial Networks and Image Synthesis
- Advanced Image Processing Techniques
- Video Coding and Compression Technologies
- Advanced Image and Video Retrieval Techniques
- Image Processing Techniques and Applications
- Advanced Vision and Imaging
- Sparse and Compressive Sensing Techniques
- Advanced Algorithms and Applications
- Advanced Sensor and Control Systems
- Fluid Dynamics and Turbulent Flows
- Remote Sensing and Land Use
- Image and Video Quality Assessment
- Advanced Data Compression Techniques
- Simulation and Modeling Applications
- Industrial Technology and Control Systems
- Power Systems and Renewable Energy
- Advanced SAR Imaging Techniques
- CCD and CMOS Imaging Sensors
- Smart Grid Security and Resilience
- Infrastructure Resilience and Vulnerability Analysis
Hubei Urban Construction Vocational and Technological College
2024
Hangzhou Dianzi University
2011-2024
Civil Aviation Administration of China
2024
Shanghai Jiao Tong University
2019-2024
Hosei University
2021-2024
University of Jinan
2024
University of Technology Malaysia
2023-2024
Shanghai Ocean University
2024
Chinese Academy of Sciences
2013-2023
Shenzhen University
2023
In order to generate images for a given category, existing deep generative models generally rely on abundant training images. However, extensive data acquisition is expensive and fast learning ability from limited necessarily required in real-world applications. Also, these methods are not well-suited adaptation new category. Few-shot image generation, aiming only few has attracted some research interest. this paper, we propose Fusing-and-Filling Generative Adversarial Network (F2GAN)...
Compressive sensing has been used to increase the resolution of sensor arrays, allowing high-resolution images be obtained from low-resolution or even single pixel sensors. This paper introduces a rotating coded aperture for compressive imaging that advantages over other strategies. The design code geometry is motivated by constraints imposed imager's rotation. block–unblock pattern optimized minimizing mutual coherence matrix. Simulation results are presented, using final successfully...
An ethylene-air diffusion flame was acoustically forced with a frequency of 100 Hz at four amplitudes ranging from 40% to 140%. The average bulk velocity the fuel 0.6 m/s. soot distribution and fields were measured by simultaneous two-dimensional laser-induced incandescence (LII) stereo particle image velocimetry (PIV) 20 kHz laser repetition rate. LII signal calibrated pulse-to-pulse energy variation, it observed that regions extended along central axis shrank radially under acoustic...
Response of a laminar diffusion dimethyl-ether flame forced by an acoustic field is provided. A forcing frequency 100 Hz, which chosen based on the typical thermo-acoustic instability in practical combustor, applied to at Reynolds number 250. The development vortical structures present this has been investigated utilizing burst mode laser with repetition rate 10 kHz. Flame/vortex interaction visualized planar laser-induced fluorescence (PLIF) formaldehyde, used identify early-stage fuel...
Investigating the aerodynamic performance and wake characteristics of wind farms under different levels effects is crucial for optimizing farm layouts improving power generation efficiency. The Large Eddy Simulation (LES)–actuator line model (ALM) method widely used to predict efficiency composed multiple turbines. This study employs LES-ALM numerically investigate a single NREL 5 MW horizontal-axis turbine three such turbines interaction conditions. For case, results obtained using were...
A compressive spectral imager based on a polar coded aperture and continuous variable circular bandpass filter is proposed for spinning munitions. As the rotates with munition, projections are sequentially captured embedded spatial modulation. The design introduced, aiming at optimizing sensing process. Both discrete rotation models of derived used to characterize imager. Computer simulations validate computational reconstruction algorithm.
To reduce the huge off-chip DRAM bandwidth which occupies a significant portion of system power, reference frame recompression (RFRC) becomes one most vital components in ASIC implementation video codecs. RFRC challenges to increase compression ratio with low-complexity and support random access compressed data. This paper presents an adaptive detachable partition (ADP) based scheme is capable compressing variable-size fixed bit unit. Comparing conventional schemes compress fixed-size...
Abstract In recent years, conditioned particle image velocimetry (CPIV) has attracted much attention for flame front extraction. It is an economical and straightforward technique because the can be obtained simply from Mie-scattering images. current work, hydroxyl planar laser-induced fluorescence (OH-PLIF) measurements were taken simultaneously to study applicability of CPIV under conditions with varying equivalence ratios, reliable working range method source bias clarified quantitatively....
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The existing deep learning-based Versatile Video Coding (VVC) in-loop filtering (ILF) enhancement works mainly focus on learning the one-to-one mapping between re-constructed and original video frame, ignoring potential resources at encoder decoder. This work proposes a Spatial-Temporal In-Loop (STILF) that takes advantage of coding information to improve VVC filtering. Each CTU is filtered by default filtering, self-enhancement Convolutional neural network (CNN) with CU map (SEC),...
Interactions between flow structures and premixed swirling flame were investigated using simultaneous sulfur dioxide (SO2) planar laser induced fluorescence (PLIF) stereoscopic particle imaging velocimetry (PIV) with high temporal resolution at 20 kHz. In this work, a was operated methane air doped 0.5% (volume fraction) SO2 ambient pressure under different equivalence ratios (ϕ=0.7–1.2). The results show that global PLIF signal shows consistent response to the density ratio change of ratio,...
In this paper, a compressive spectral integral imaging system using microlens array (MLA) is proposed. This can sense the 4D spectro-volumetric information into 2D measurement image on detector plane. reconstruction process, 3D spatial at different depths and responses of each volume pixel be obtained simultaneously. simulation, sensing objects carried out by optically recording elemental images (EIs) scanned pinhole camera. With images, data cube with perspectives depth reconstructed TwIST...
In the field of SAR-to-optical image synthesis, current methods based on conditional generative adversarial networks (CGANs) have satisfying performance under simple scenarios, but drops severely complicated scenarios. Considering that SAR images can form a robust time series due to SAR’s all-weather imaging ability, we take advantage this and extract temporal correlation from bi-temporal guide translation. To achieve this, introduce co-attention mechanism into CGAN learns between...
Recently, specifically designed video codecs have been preferred due to the expansion of data in Internet Things (IoT) devices. Context Adaptive Binary Arithmetic Coding (CABAC) is entropy coding module widely used recent standards such as HEVC/H.265 and VVC/H.266. CABAC a well known throughput bottleneck its strong dependencies. Because required context model current bin often depends on results previous bin, cannot be prefetched early enough then pipeline stalls. To solve this problem, we...