Fault detection and classification is critical to the reliability of modern control systems in different industries, where detecting and classifying faults in operational processes are very important things while fail...
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With the recent surge in AI popularity, neural networks have been used in a number of solar cell applications, including for materials discovery, processing optimization, and high-throughput characterization. One such...
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Optimizing the structure and design of power distribution systems to improve overall performance, reliability, and efficiency is the challenge of re-configuring distribution networks. The objectives of this process ar...
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To tackle the energy crisis and climate change,wind farms are being heavily invested in across the *** China's coastal areas,there are abundant wind resources and numerous offshore wind farms are being *** secure ...
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To tackle the energy crisis and climate change,wind farms are being heavily invested in across the *** China's coastal areas,there are abundant wind resources and numerous offshore wind farms are being *** secure operation of these wind farms may suffer from typhoons,and researchers have studied power system operation and resilience enhancement in typhoon ***,the intricate movement of a typhoon makes it challenging to evaluate its spatial-temporal *** published papers only consider predefined typhoon trajectories neglecting *** address this challenge,this study proposes a stochastic unit commitment model that incorporates high-penetration offshore wind power generation in typhoon *** adopts a data-driven method to describe the uncertainties of typhoon trajectories and considers the realistic anti-typhoon mode in offshore wind farms.A two-stage stochastic unit commitment model is designed to enhance power system resilience in typhoon *** formulate the model into a mixed-integer linear programming problem and then solve it based on the computationally-efficient progressive hedging algorithm(PHA).Finally,numerical experiments validate the effectiveness of the proposed method.
In this paper, we present a method to generate vector vortex wave that can carry Orbital Angular Momentum (OAM) and Spin Angular Momentum (SAM), for wireless communication in tunnels or similar structures. Inside a cl...
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This work extends a recently introduced type-based clustering algorithm (TCA) [1] for identifying line-of-sight (LOS) paths in multipath environments with multiple passive targets. In particular, while [1] assumes tha...
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We consider a system consisting of a user and a public cloud storage provider. We provide an unconditionally secure and non-malleable encryption scheme for storing the confidential data of the user on the public cloud...
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As compared to standard dynamic range (SDR) videos, high dynamic range (HDR) content is able to represent and display much wider and more accurate ranges of brightness and color, leading to more engaging and enjoyable...
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As compared to standard dynamic range (SDR) videos, high dynamic range (HDR) content is able to represent and display much wider and more accurate ranges of brightness and color, leading to more engaging and enjoyable visual experiences. HDR also implies increases in data volume, further challenging existing limits on bandwidth consumption and on the quality of delivered content. Perceptual quality models are used to monitor and control the compression of streamed SDR content. A similar strategy should be useful for HDR content, yet there has been limited work on building HDR video quality assessment (VQA) algorithms. One reason for this is a scarcity of high-quality HDR VQA databases representative of contemporary HDR standards. Towards filling this gap, we created the first publicly available HDR VQA database dedicated to HDR10 videos, called the Laboratory for Image and Video engineering (LIVE) HDR Database. It comprises 310 videos from 31 distinct source sequences processed by ten different compression and resolution combinations, simulating bitrate ladders used by the streaming industry. We used this data to conduct a subjective quality study, gathering more than 20,000 human quality judgments under two different illumination conditions. To demonstrate the usefulness of this new psychometric data resource, we also designed a new framework for creating HDR quality sensitive features, using a nonlinear transform to emphasize distortions occurring in spatial portions of videos that are enhanced by HDR, e.g., having darker blacks and brighter whites. We apply this new method, which we call HDRMAX, to modify the widely-deployed Video Multimethod Assessment Fusion (VMAF) model. We show that VMAF+HDRMAX provides significantly elevated performance on both HDR and SDR videos, exceeding prior state-of-the-art model performance. The database is now accessible at: https://***/research/LIVEHDR/LIVEHDR_***. The model will be made available at a later d
Teamwork is increasingly important in real life due to the complexity of modern applications. However, there is little automated support to improve team effectiveness during design. Verbal conversations between member...
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Non-Orthogonal Multiple Access (NOMA) has emerged as a promising alternative and complementary approach to conventional Orthogonal Multiple Access (OMA) techniques. This potential arises from NOMA's utilization of...
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