The discharge of domestic sewage by urban residents has always been a major factor causing water pollution in rivers, and with the continuous improvement of people's living standards, the amount of domestic sewage...
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Underwater image restoration is one of the significant research in marine engineering and aquatic robotics. However, due to the propagation characteristics of light and the serious turbidity in underwater, the capture...
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Underwater image restoration is one of the significant research in marine engineering and aquatic robotics. However, due to the propagation characteristics of light and the serious turbidity in underwater, the captured images often have chromatic aberration and scattering blur, which brings great challenges to the restoration of the raw image. In this paper, a revised underwater imaging model is proposed first, which reanalyzes the generation of background light from the atmosphere to the underwater and provides important support for underwater color correction. And then a network framework via the revised model is designed, which can decompose the captured image into different components corresponding to the revised model. The proposed network consists of a decomposition architecture with residual blocks that learns a complete separation of clear image and transmittance features. These two features are used along with the raw image to predict the background light. Finally, combining three constraints of the imaging model, the proposed framework can converge rapidly along the desired direction. By comparison with the performance of the state-of-the-art algorithms, the designed network shows excellent visibility and is capable of removing water on both synthetic and real-world images in different water types.
The tether deployment of a tethered satellite system involves the consideration of complex dynamic properties of the tether,such as large deformation,slack,and even rebound,and therefore,the dynamic modelling of the t...
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The tether deployment of a tethered satellite system involves the consideration of complex dynamic properties of the tether,such as large deformation,slack,and even rebound,and therefore,the dynamic modelling of the tether is necessary for performing a dynamic analysis of the *** a variablelength tether element,the absolute nodal coordinate formulation(ANCF)in the framework of the arbitrary Lagrange-Euler(ALE)description was used to develop a precise dynamic model of a tethered *** model considered the gravitational gradient force and Coriolis force in the orbital coordinate frame,and it was validated through numerical *** the presence of dynamic constraints,a deployment velocity of the tether was obtained by an optimal *** the simulation,rebound behavior of the tethered satellite system was observed when the ANCF-ALE model was ***,the rebound behavior cannot be predicted by the traditional dumbbell ***,an improved optimal deployment velocity was *** results indicated that the rebound phenomenon was eliminated,and smooth deployment as well as a stable state of the station-keeping process were ***,the swing amplitude in the station-keeping phase decreased when a deployment strategy based on the improved optimal deployment velocity was used.
LiNi_(0.5)Co_(0.2)Mn_(0.3)O_(2)(NCM523)has become one of the most popular cathode materials for current lithium-ion batteries due to its high-energy density and cost ***,the rapid capacity fading of NCM severely hinde...
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LiNi_(0.5)Co_(0.2)Mn_(0.3)O_(2)(NCM523)has become one of the most popular cathode materials for current lithium-ion batteries due to its high-energy density and cost ***,the rapid capacity fading of NCM severely hinders its development and ***,the single crystal NCM523 materials under different degradation states are characterized using scanning transmission electron microscopy(STEM).Then we developed a neural network model with a two-sequential attention block to recognize the crystal structure and locate defects in STEM *** number of point defects in NCM523 is observed to experience a trend of increasing first and then decreasing in the degradation *** space between the transition metal columns shrinks obviously,inducing dramatic capacity *** analysis sheds light on the defect evolution and chemical transformation correlated with layered material *** also provides interesting hints for researchers to regenerate the electrochemical capacity and design better battery materials with longer life.
Optimal energy consumption in Wireless Sensor Networks (WSNs) is important. Previous research has shown that by organizing network nodes into a number of clusters, one can achieve greater energy efficiency leading to ...
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Random erasing is a commonly used data augmentation method. Vehicle recognition now uses deep neural networks as training models. Deep neural networks are getting deeper and deeper, with more and more parameters, and ...
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The advent of large scale models such as CLIP[1],GPT-2[2],and GPT-3[3]has marked a significant shift in the field of Artificial Intelligence(AI).Unlike the early days of Al,characterized by the design of distinct mode...
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The advent of large scale models such as CLIP[1],GPT-2[2],and GPT-3[3]has marked a significant shift in the field of Artificial Intelligence(AI).Unlike the early days of Al,characterized by the design of distinct models or the utilization of pre-trained models for fine-tuning in specific tasks,these modern models adopt a unified approach.
The scarcity of labeled data remains one of the most significant challenges in industrial fault diagnosis, where the industrial processes lack readily sampled in many fault types. This issue is often called the zero-s...
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Due to the heterogeneity of multimodal data including facial expression, speech, and language, multimodal sentiment analysis remains a challenging problem. Existing methods mostly explore delicate fusion strategies to...
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Tensor completion is a prevailing method for predicting the unobserved or missing data in incomplete tensors. In many real-world scenarios, incomplete tensors can grow in multiple modes with streaming fashion. Such te...
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