The high-fidelity reconstruction of sound speeds is crucial for predicting acoustic propagation in shallow water where internal solitary waves(ISWs)are *** temperatures from time series to spatial fields is an approac...
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The high-fidelity reconstruction of sound speeds is crucial for predicting acoustic propagation in shallow water where internal solitary waves(ISWs)are *** temperatures from time series to spatial fields is an approach widely used to reproduce the sound speed perturbed by deformed internal ***,wave-shape distortions are inherent in the modeling *** paper analyzes the formation mechanism and dynamic behavior of the distorted waveform that is shown to arise from the mismatch between the modeled and real propagation speeds of individual solitons within an ISW *** mitigate distortions,a reconstruction method incorporating the dispersion property of an ISW train is proposed *** principle is to assign each soliton a real speed observed in the ***,the modeled solitons propagate at their intrinsic speeds,and the packet disperses naturally with *** method is applied to reconstruct the sound speed perturbed by ISWs in the South China *** mean and median of the root-mean-square error between the reconstructed and measured sound speeds are below 2 m/*** modeled shape deformations and packet dispersion agree well with observations,and the waveform distortion is reduced compared with the original *** work ensures the high fidelity of waveguide-environment reconstructions and facilitates the investigation of sound propagation in the future.
In order to optimise the effect of database information retrieval and overcome the problem of high index cost of traditional retrieval methods, an efficient retrieval design method of relational database based on know...
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Realizing single light solitons that are stable in high dimensions is a long-standing goal in research of nonlinear optical ***,we address a scheme to generate stable two-dimensional solitons in a cold Rydberg atomic ...
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Realizing single light solitons that are stable in high dimensions is a long-standing goal in research of nonlinear optical ***,we address a scheme to generate stable two-dimensional solitons in a cold Rydberg atomic system with a parity-time(PT) symmetric moiré optical *** uncover the formation,properties,and their dynamics of fundamental and two-pole gap solitons as well as vortical *** PT symmetry,lattice strength,and the degrees of local and nonlocal nonlinearity are tunable and can be used to control *** stability regions of these solitons are evaluated in two numerical ways:linear-stability analysis and time evolutions with *** results provide an insightful understanding of solitons physics in combined versatile platforms of PT-symmetric systems and Rydberg–Rydberg interaction in cold gases.
The recently proposed ambient signal-based load modeling approach offers an important and effective idea to study the time-varying and distributed characteristics of power ***,it also brings new *** the load model par...
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The recently proposed ambient signal-based load modeling approach offers an important and effective idea to study the time-varying and distributed characteristics of power ***,it also brings new *** the load model parameters of power loads can be obtained in real-time for each load bus,the numerous identified parameters make parameter application *** order to obtain the parameters suitable for off-line applications,load model parameter selection(LMPS)is first introduced in this ***,the convolution neural network(CNN)is adopted to achieve the selection purpose from the perspective of short-term voltage *** begin with,the field phasor measurement unit(PMU)data from China Southern Power Grid are obtained for load model parameter identification,and the identification results of different substations during different times indicate the necessity of ***,the simulation case of Guangdong Power Grid shows the process of LMPS,and the results from the CNNbased LMPS confirm its effectiveness.
Machine Learning and Artificial Intelligence technology accelerates technological progress and promotes social development, but also brings many security problems. Machine learning models may be affected, deceived, co...
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Mechanical properties of TC17 titanium alloy undergo a significant reduction after linear friction welding(LFW),of which the strength and ductility are hard to be improved simultaneously by traditional aging heat trea...
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Mechanical properties of TC17 titanium alloy undergo a significant reduction after linear friction welding(LFW),of which the strength and ductility are hard to be improved simultaneously by traditional aging heat treatment(AHT),seriously limiting the application of LFW in the manufacturing of TC17 titanium alloy *** this end,the present work proposes to use electric pulse treatment(EPT)to enhance the strength and ductility of TC17 LFW joints simultaneously by improving its *** results show that,in comparison to the uneven distribution ofαphases in the welding zone(WZ),heat-affected zone(HAZ),and base metal(BM)zone after AHT,EPT can selectively homogenize theαphase distribution of WZ and HAZ without impacting the *** selective effect of EPT is reflected as the synergistic influence of the local Joule heating effect and the electron wind effect,which promotes the diffusion ofβphase stabilizing element Mo and leads to a competitive precipitation ofβphase andαphase in theαphase transition temperature *** ratio ofαphase toβphase in the WZ and HAZ finally approaches an equilibrium point which is similar to that of BM,leading to a uniform distribution ofαphase and realizing the synergy of strength-ductility of LFW joint:the maximum strength increase observed is 12.9%,accompanied by a corresponding elongation increase of 122%(by AHT&EPT),and the maximum plasticity improvement is 185%,accompanied by a corresponding strength increase of 4.3%(by EPT for 1 h).This study provides essential insights for improving the strength and ductility of LFW TC17 titanium alloy blisks and enhancing the applications of LFW in aeroengine components.
The global energy crisis and environmental problems have become two unprecedented ***-conductor photocatalysis offers a promising strategy to solve them,while its practical application requires advanced photocatalytic...
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The global energy crisis and environmental problems have become two unprecedented ***-conductor photocatalysis offers a promising strategy to solve them,while its practical application requires advanced photocatalytic *** recent years,one-dimensional(1D)alkali-metal hexatitanate(AHT)photocatalysts have attracted considerable attention in energy and environmental fields due to their high chemical stability,excellent photoactivity,unique ion-exchange,environment-friendly,and cost-effective *** this review,we firstly introduce the basic properties of AHT including crystal and electronic band structure,photoactivity,and structure-property-performance ***,the recent ad-vances in synthesis and modification strategies of 1D AHT photocatalysts are summarized thoughtfully,followed by a comprehensive discussion on their various environmental and energy applications,includ-ing pollutant degradation,H2 generation,and CO_(2)***,the key challenges and prospects are also highlighted for the development of high-performance 1D AHT-based photocatalysts for practi-cal *** hope that this review will shed some light on the rational design of 1D Ti-O-based nanomaterials for efficient environmental remediation and solar fuel production.
Transformer tracking always takes paired template and search images as encoder input and conduct feature extraction and target‐search feature correlation by self and/or cross attention operations,thus the model compl...
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Transformer tracking always takes paired template and search images as encoder input and conduct feature extraction and target‐search feature correlation by self and/or cross attention operations,thus the model complexity will grow quadratically with the number of input *** alleviate the burden of this tracking paradigm and facilitate practical deployment of Transformer‐based trackers,we propose a dual pooling transformer tracking framework,dubbed as DPT,which consists of three components:a simple yet efficient spatiotemporal attention model(SAM),a mutual correlation pooling Trans-former(MCPT)and a multiscale aggregation pooling Transformer(MAPT).SAM is designed to gracefully aggregates temporal dynamics and spatial appearance information of multi‐frame templates along space‐time *** aims to capture multi‐scale pooled and correlated contextual features,which is followed by MAPT that aggregates multi‐scale features into a unified feature representation for tracking *** tracker achieves AUC score of 69.5 on LaSOT and precision score of 82.8 on Track-ingNet while maintaining a shorter sequence length of attention tokens,fewer parameters and FLOPs compared to existing state‐of‐the‐art(SOTA)Transformer tracking *** experiments demonstrate that DPT tracker yields a strong real‐time tracking baseline with a good trade‐off between tracking performance and inference efficiency.
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