Holographic display offers the capability to generate high-quality images with a wide color gamut since it is ***,many existing holographic display techniques fail to fully exploit this potential,primarily due to the ...
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Holographic display offers the capability to generate high-quality images with a wide color gamut since it is ***,many existing holographic display techniques fail to fully exploit this potential,primarily due to the system’s *** flaws often result in inaccurate color representation,and there is a lack of an efficient way to address this color accuracy *** this study,we develop a color-aware hologram optimization approach for color-accurate holographic *** approach integrates both laser and camera into the hologram optimization loop,enabling dynamic optimization of the laser’s output color and the acquisition of physically captured ***,we improve the efficiency of the color-aware optimization process for holographic video *** introduce a cascade optimization strategy,which leverages the redundant neighbor hologram information to accelerate the iterative *** evaluate our method through both simulation and optical experiments,demonstrating the superiority in terms of image quality,color accuracy,and hologram optimization speed compared to previous *** approach verifies a promising way to realize a high-fidelity image in the holographic display,which provides a new direction toward the practical holographic display.
This paper develops an adaptive two-stage unscented Kalman filter(ATSUKF)to accurately track operation states of the synchronous generator(SG)under cyber *** achieve high fidelity,considering the excitation system of ...
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This paper develops an adaptive two-stage unscented Kalman filter(ATSUKF)to accurately track operation states of the synchronous generator(SG)under cyber *** achieve high fidelity,considering the excitation system of SGs,a detailed 9~(th)-order SG model for dynamic state estimation is ***,for several common cyber attacks against measurements,a two-stage unscented Kalman filter is proposed to estimate the model state and the bias in ***,to solve the deterioration problem of state estimation performance caused by the mismatch between noise statistical characteristics and model assumptions,a multi-dimensional adaptive factor matrix is derived to modify the noise covariance ***,a large number of simulation experiments are carried out on the IEEE 39-bus system,which shows that the proposed filter can accurately track the SG state under different abnormal test conditions.
Artificial neural networks are capable of machine learning by simulating the hiera rchical structure of the human *** enable learning by brain and machine,it is essential to accurately identify and correct the predict...
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Artificial neural networks are capable of machine learning by simulating the hiera rchical structure of the human *** enable learning by brain and machine,it is essential to accurately identify and correct the prediction errors,referred to as credit assignment(Lillicrap et al.,2020).It is critical to develop artificial intelligence by understanding how the brain deals with credit assignment in neuroscience.
This paper addresses an optimal, cooperative output regulation problem for multi-agent systems with distributed denial of service attacks and unknown system dynamics. Unlike existing studies, the proposed solution is ...
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This paper addresses an optimal, cooperative output regulation problem for multi-agent systems with distributed denial of service attacks and unknown system dynamics. Unlike existing studies, the proposed solution is essentially a learning-based control strategy such that one can obtain a distributed control policy with internal models through online data and analyze the resilience of closed-loop systems, both without the precise knowledge of system dynamics in the state-space model. The efficiency of the proposed methodology is validated using computer simulations.
Transcriptome-wide association studies (TWAS) goal is to better understand the etiology of diseases and develop preventative and therapeutic approaches by examining the connections between genetic variants and phenoty...
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Brain MRI makes it possible to evaluate brain tumor diagnosis and treatment. There are, however, many challenges for automated brain tumor segmentation, and these challenges have become tougher as deep learning has pr...
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One of the difficulties in diagnosing patients in the field of psychiatry is the lack of objective biomarker measurements. In general, diagnosis is based on traditional methods relying on behavioral symptoms. Currentl...
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To serve a convenient healthcare network, storing medical images and diagnosis records in the cloud is a straightforward solution. Encrypting the medical images before uploading them to the cloud is a trivial strategy...
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This paper introduces an artificial intelligence (AI) methodology designed to enhance the output of two-dimensional (2D) electromagnetic imaging systems, specifically tailored for the imaging of conductive objects uti...
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Mobile Crowdsensing (MCS) has emerged as a compelling paradigm for data sensing and collection, leveraging the widespread adoption of mobile devices and the active participation of numerous users. Despite its potentia...
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