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Distributed Secondary Control Based on Dynamic Diffusion Algorithm for Current Sharing and Average Voltage Regulation in DC Microgrids 认领 引用 被引量：1
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作者 Dawei Liao Fei Gao +3 位作者 Daniel J.Rogers Wentao Huang Dong Liu Houjun Tang 《Journal of Modern Power Systems and Clean Energy》 SCIE EI CSCD 2024年第2期597-607,共11页
This paper introduces a distributed secondary control scheme for achieving current sharing and average voltage regulation objectives in a DC microgrid.The proposed scheme employs a dynamic diffusion algorithm(DDA)inst... This paper introduces a distributed secondary control scheme for achieving current sharing and average voltage regulation objectives in a DC microgrid.The proposed scheme employs a dynamic diffusion algorithm(DDA)instead of the consensus algorithm to enable distributed communication among converters.To help understand DDA,the relation of DDA and other diffusion algorithms is discussed in detail and its superiority is shown by comparison with diffusion and consensus algorithms.Furthermore,considering the discrete nature and different sampling time of the digital controller and communication network,a z-domain model of the entire DC microgrid is established.The influence of communication and secondary control parameters on the system stability is investigated.Based on the established model,the tolerable communication rates are obtained.Real-time simulations conducted on the OPAL-RT platform validate the effectiveness of the proposed scheme,showcasing its advantages in terms of convergence speed and stability. 展开更多
关键词 Cooperative control DC microgrid diffusion algorithm discrete-time modeling distributed secondary control
Lift enhancement of airfoil and tip flow control for wind turbine 认领 引用 被引量：1
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作者 白亚磊 马兴宇 明晓 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI 2011年第7期825-836,共12页
Two techniques that improve the aerodynamic performance of wind turbine airfoils are described. The airfoil $809, designed specially for wind turbine blades, and the airfoil FX60-100, having a higher lift-drag ratio, ... Two techniques that improve the aerodynamic performance of wind turbine airfoils are described. The airfoil $809, designed specially for wind turbine blades, and the airfoil FX60-100, having a higher lift-drag ratio, are selected to verify the flow control techniques. The flow deflector, fixed at the leading edge, is employed to control the boundary layer separation on the airfoil at a high angle of attack. The multi-island genetic algorithm is used to optimize the parameters of the flow deflector. The results indicate that the flow deflector can suppress the flow separation, delay the stall, and enhance the lift. The characteristics of the blade tip vortex, the wake vortex, and the surface pressure distributions of the blades are analyzed. The vortex diffuser, set up at the blade tip, is employed to control the blade tip vortex. The results show that the vortex diffuser can increase the total pressure coefficient of the core of the vortex, decrease the strength of the blade tip vortex, lower the noise, and improve the efficiency of the blade. 展开更多
关键词 flow separation flow control flow deflector multi-island genetic algorithm,tip vortex diffuser
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Artificial neural-network-based visible light positioning algorithm with a diffuse optical channel 认领 引用 被引量：15
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作者 黄河清 杨爱英 +2 位作者 冯立辉 倪国强 郭芃 《Chinese Optics Letters》 SCIE EI CAS CSCD 2017年第5期16-20,共5页
Visible light positioning becomes popular recently. However, its performance is degraded by the indoor diffuse optical channel. An artificial neural-network-based visible light positioning algorithm is proposed in thi... Visible light positioning becomes popular recently. However, its performance is degraded by the indoor diffuse optical channel. An artificial neural-network-based visible light positioning algorithm is proposed in this Letter, and a trained neural network is used to achieve positioning with a diffuse channel. Simulations are made to evaluate the proposed positioning algorithm. Results show that the average positioning error is reduced about 13 times, and the positioning time is reduced about two magnitudes. Moreover, the proposed algorithm is robust with a different field-of-view of the receiver and the refiectivity of the wall, which is suitable for various position- ing applications. 展开更多
关键词 view LEDs Artificial neural-network-based visible light positioning algorithm with a diffuse optical channel CDF RSS
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TSR: algorithm of image hole-filling based on three-step repairing 认领 引用 被引量：1
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作者 Li Fucheng Deng Junyong +2 位作者 Zhu Yun Luo Jiaying Ren Han 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 2022年第5期83-91,共9页
In order to solve the hole-filling mismatch problem in virtual view synthesis, a three-step repairing(TSR) algorithm was proposed. Firstly, the image with marked holes is decomposed by the non-subsampled shear wave tr... In order to solve the hole-filling mismatch problem in virtual view synthesis, a three-step repairing(TSR) algorithm was proposed. Firstly, the image with marked holes is decomposed by the non-subsampled shear wave transform(NSST), which will generate high-/low-frequency sub-images with different resolutions. Then the improved Criminisi algorithm was used to repair the texture information in the high-frequency sub-images, while the improved curvature driven diffusion(CDD) algorithm was used to repair the low-frequency sub-images with the image structure information. Finally, the repaired parts of high-frequency and low-frequency sub-images are synthesized to obtain the final image through inverse NSST. Experiments show that the peak signal-to-noise ratio(PSNR) of the TSR algorithm is improved by an average of 2-3 dB and 1-2 dB compared with the Criminisi algorithm and the nearest neighbor interpolation(NNI) algorithm, respectively. 展开更多
关键词 virtual view point synthesis hole-filling three-step repairing(TSR) Criminisi algorithm curvature driven diffusions(CDD)algorithm
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Post-stack seismic data denoising via MABCDT-Curvelet transform 认领 引用
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作者 Niu Chaoyi Huang Xuri +3 位作者 Yan Shengyuan Chen Xiaochun Wo Yukai Ma An 《Journal of Geophysical Prospecting》 2025年第3期286-297,共12页
Noise in post-stack seismic data can severely interfere with the identification and interpretation of reflection signals, making efficient denoising essential for improving the accuracy of seismic data interpretation.... Noise in post-stack seismic data can severely interfere with the identification and interpretation of reflection signals, making efficient denoising essential for improving the accuracy of seismic data interpretation. Owing to its superior multi-scale and multi-directional characteristics, curvelet transform has been widely adopted for post-stack data denoising. However, conventional curvelet transform tends to produce pseudo-Gibbs effects at boundaries, which leads to edge oscillations and spurious reflections. In addition, aggressive noise suppression often results in the loss of valid signals, which limits the practical applicability of these methods. To address these challenges, this paper proposes a curvelet transform approach incorporating multi-scale adaptive block curveletdomain thresholding(MABCDT). First, cycle spinning and MABCDT are introduced in the curvelet domain to enhance the preservation of weak signals and significantly mitigate pseudo-Gibbs phenomena. Then, a fast non-local mean filtering is applied to the data after inverse curvelet transform, which further retains valid signals while removing residual noise. Finally, a directional smoothing diffusion algorithm is introduced, which utilizes gradient direction information to perform directionally weighted smoothing and diffusion, thereby further suppressing noise and enhancing the continuity of valid signals. Both synthetic and field data tests demonstrate that the proposed method outperforms conventional post-stack denoising techniques in terms of signal-to-noise ratio enhancement and waveform fidelity. The method preserves the continuous structural features of seismic signals while suppressing noise and significantly reduces pseudo-Gibbs effects caused by high-frequency truncation. 展开更多
关键词 curvelet transform cycle spinning multi-scale adaptive block curvelet‑domain thresholding(MABCDT) fast non-local means filtering directional smoothing diffusion algorithm weak signal identification
A new physical unclonable function architecture 认领 引用
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作者 白创 邹雪城 戴葵 《Journal of Semiconductors》 EI CAS CSCD 2015年第3期121-126,共6页
This paper describes a new silicon physical unclonable function （PUF） architecture that can be fabri- cated on a standard CMOS process. Our proposed architecture is built using process sensors, difference amplifier,... This paper describes a new silicon physical unclonable function （PUF） architecture that can be fabri- cated on a standard CMOS process. Our proposed architecture is built using process sensors, difference amplifier, comparator, voting mechanism and diffusion algorithm circuit. Multiple identical process sensors are fabricated on the same chip. Due to manufacturing process variations, each sensor produces slightly different physical charac- teristic values that can be compared in order to create a digital identification for the chip. The diffusion algorithm circuit ensures further that the PUF based on the proposed architecture is able to effectively identify a population of ICs. We also improve the stability of PUF design with respect to temporary environmental variations like temperature and supply voltage with the introduction of difference amplifier and voting mechanism. The PUF built on the proposed architecture is fabricated in 0.18 μm CMOS technology. Experimental results show that the PUF has a good output statistical characteristic of uniform distribution and a high stability of 98.1% with respect to temperature variation from -40 to 100 ℃, and supply voltage variation from 1.7 to 1.9 V. 展开更多
关键词 physical unclonable functions digital identification process sensors voting mechanism diffusion algorithm
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Diffuse optical tomography in the human brain: A briefly review from the neurophysiology to its applications 认领 引用 被引量：1
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作者 Estefania Hernandez-Martin JoséLuis Gonzalez-Mora 《Brain Science Advances》 2020年第4期289-305,共17页
The present work describes the use of noninvasive diffuse optical tomography(DOT)technology to measure hemodynamic changes,providing relevant information which helps to understand the basis of neurophysiology in the h... The present work describes the use of noninvasive diffuse optical tomography(DOT)technology to measure hemodynamic changes,providing relevant information which helps to understand the basis of neurophysiology in the human brain.Advantages such as portability,direct measurements of hemoglobin state,temporal resolution,non-restricted movements as occurs in magnetic resonance imaging(MRI)devices mean that DOT technology can be used in research and clinical fields.In this review we covered the neurophysiology,physical principles underlying optical imaging during tissue-light interactions,and technology commonly used during the construction of a DOT device including the source-detector requirements to improve the image quality.DOT provides 3 D cerebral activation images due to complex mathematical models which describe the light propagation inside the tissue head.Moreover,we describe briefly the use of Bayesian methods for raw DOT data filtering as an alternative to linear filters widely used in signal processing,avoiding common problems such as the filter selection or a false interpretation of the results which is sometimes due to the interference of background physiological noise with neural activity. 展开更多
关键词 diffuse optical imaging image reconstruction algorithms filtering DOT data biomedical applications
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