The design anddevelopment of an electric car charging station in this study are suitable for a wide range of electric vehicles. When designing and integrating charging stations into real-time projects, the availabili...
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With economic development and the increasing scale of power grids, power grid systems have increasingly higherrequirements for fault handling efficiency. At present, 10kV faults on the medium voltage side of the dist...
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Image dehazing is a rapidly progressing research concept to enhance image contrast andresolution in computer vision *** to severe airdispersion,fog,and haze over the environment,hazy images pose specific challenges ...
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Image dehazing is a rapidly progressing research concept to enhance image contrast andresolution in computer vision *** to severe airdispersion,fog,and haze over the environment,hazy images pose specific challenges during information *** the advances in the learning theory,most of the learning-based techniques,in particular,deep neural networks are used for single-image *** existing approaches are extremely computationally complex,and the dehazed images are suffered from colordistortion caused by the over-saturation and pseudo-shadow ***,the slow convergence rate during training and haze residual is the two demerits in the conventional image dehazing *** article proposes a new architecture“Atrous Convolution-basedresidual deep Convolutional Neural Network(CNN)”method with hybrid Spider Monkey-Particle Swarm Optimization for image *** large receptive field of atrous convolution extracts the global contextual *** swarm based hybrid optimization is designed for tuning the neural network parameters during *** experiments over the standard synthetic dataset images used in the proposed network recover clear output images free from distortion and halo *** is observed from the statistical analysis that Mean Square Error(MSE)decreases from 74.42 to 62.03 and Peak Signal to Noise ratio(PSNr)increases from 22.53 to *** proposed method with hybrid optimization algorithm demonstrates a superior convergence rate and is a more robust than the current state-of-the-art techniques.
In the advent of increased transportation systems, the importance and growth of heavy vehicle movements and their applications play a significant role. The transportation sector involving heavy vehicles needs appropri...
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In this paper, we investigate the role of asphaltenes derived from heavy crudes, which dictates the behavior of crude mix properties for hassle-free downstream refinery operation. Combined characterization techniques ...
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We report a method for controlling the viewing angle using twisted nematic liquid crystal (TN-LC) materials for automotive display applications. We achieved switching between normal and privacy modes with the change i...
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Since the official issuance of 5G licenses in China, 5G networks have begun to be deployed and promoted in an orderly way. At present, the domestic 5G network has a foundation for widespread application. Power grid is...
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We report a method for controlling unidirectional viewing angle in automotive displays using a liquid crystal (LC) film. By electrically controlling the refractive index distribution of the LC film, the light is emitt...
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In this work comparative analysis of the effect of various active materials and use of photonic crystal in active layer of organic photodetector in the wavelength range between 400 nm and 700 nm is described. The acti...
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the analysis of distributed photovoltaic carrying capacity based on load flow calculation is studied. First, the concept of distributed photovoltaic carrying capacity is defined, that is, the maximum value of photovol...
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ISBN:
(数字)9798350389869
ISBN:
(纸本)9798350389876
the analysis of distributed photovoltaic carrying capacity based on load flow calculation is studied. First, the concept of distributed photovoltaic carrying capacity is defined, that is, the maximum value of photovoltaic power generation capacity that can be borne when the distributed power source is connected to the grid and the photovoltaic energy is eliminated, under the premise of ensuring grid security and stability. Next, the constraints affecting the carrying capacity of distributed PV in the power grid are analyzed, including node voltage constraints, grid capacity, thermal stability and power quality. By comparing experimental data between static anddynamic hosting capacity analysis methods, it is found that the dynamic algorithm allows for higher PV generation capacity and exhibits stronger adaptability. The purpose of this paper is to provide important theoretical support and technical methods for grid planning and the rational integration of PV systems by analyzing the constraints on the maximum absorption capacity of PV generation in the distribution network.
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