In this study,the effects of different heat treatment process parameters on the microstructure and mechanical properties of Al-12Si-5Cu-1.1Mg-2.3Ni-0.3La alloy were *** showed that eutectic Si underwent three stages d...
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In this study,the effects of different heat treatment process parameters on the microstructure and mechanical properties of Al-12Si-5Cu-1.1Mg-2.3Ni-0.3La alloy were *** showed that eutectic Si underwent three stages during solution treatment:diffusing,spheroidization and *** the solution temperature and time increased,the size of eutectic Si showed a trend of first decreasing and then *** with the heat treatment time,the heat treatment temperature had a more significant effect on the mechanical *** coarsening of microstructure was the main reason for the deterioration of mechanical *** Al3Ti and Al3CuNiLa in the microstructure after aging can significantly improve the mechanical properties of the *** Al11La3 with secondary precipitation occurred in the La-rich *** addition of La inhibited the growth of coherent/semi-coherent θ and β phases,which was very beneficial for the improve-ment of high-temperature *** the optimal heat treatment process parameters of 500 ℃ × 4 h+190 ℃ × 4 h,the ultimate tensile strength(UTS)of the alloy reached 366.65 *** high-temperature strength and elongation of the alloy reached 101.98 MPa and 13.77％at 350 ℃,respectively.
This paper introduces LLDif, a novel diffusion-based facial expression recognition (FER) framework tailored for extremely low-light (LL) environments. Images captured under such conditions often suffer from low bright...
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As a result of its aggressive nature and late identification at advanced stages, lung cancer is one of the leading causes of cancer-related deaths. Lung cancer early diagnosis is a serious and difficult challenge that...
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A great deal of recent research reveals that artifacts introduced by spoofing algorithms reside in specific frequency subbands or temporal segments. Therefore, the performance of spoofing detection can be improved by ...
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In terms of multiple temporal and spatial scales, massive data from experiments, flow field measurements, and high-fidelity numerical simulations have greatly promoted the rapid development of fluid mechanics. Machine...
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In terms of multiple temporal and spatial scales, massive data from experiments, flow field measurements, and high-fidelity numerical simulations have greatly promoted the rapid development of fluid mechanics. Machine Learning(ML) provides a wealth of analysis methods to extract potential information from a large amount of data for in-depth understanding of the underlying flow mechanism or for further applications. Furthermore, machine learning algorithms can enhance flow information and automatically perform tasks that involve active flow control and optimization. This article provides an overview of the past history, current development, and promising prospects of machine learning in the field of fluid mechanics. In addition, to facilitate understanding, this article outlines the basic principles of machine learning methods and their applications in engineering practice, turbulence models, flow field representation problems, and active flow control. In short, machine learning provides a powerful and more intelligent data processing architecture, and may greatly enrich the existing research methods and industrial applications of fluid mechanics.
The increasing data pool in finance sectors forces machine learning(ML)to step into new *** data has significant financial implications and is *** users data from several organizations for various banking services may...
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The increasing data pool in finance sectors forces machine learning(ML)to step into new *** data has significant financial implications and is *** users data from several organizations for various banking services may result in various intrusions and privacy *** a result,this study employs federated learning(FL)using a flower paradigm to preserve each organization’s privacy while collaborating to build a robust shared global ***,diverse data distributions in the collaborative training process might result in inadequate model learning and a lack of *** address this issue,the present paper proposes the imple-mentation of Federated Averaging(FedAvg)and Federated Proximal(FedProx)methods in the flower framework,which take advantage of the data locality while training and guaranteeing global *** improves the privacy of the local *** analysis used the credit card and Canadian institute for Cybersecurity Intrusion Detection Evaluation(CICIDS)***,recall,and accuracy as performance indicators to show the efficacy of the proposed strategy using FedAvg and *** experimental findings suggest that the proposed approach helps to safely use banking data from diverse sources to enhance customer banking services by obtaining accuracy of 99.55%and 83.72%for FedAvg and 99.57%,and 84.63%for FedProx.
Nonaxisymmetric endwall is an effective method to reduce secondary loss and improve aerodynamic *** this paper,a nonaxisymmetric endwall automated optimization process based on the nonuniform rational B-spline surface...
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Nonaxisymmetric endwall is an effective method to reduce secondary loss and improve aerodynamic *** this paper,a nonaxisymmetric endwall automated optimization process based on the nonuniform rational B-spline surface(NURBS)technique was *** technique was applied for the aerodynamic optimization of the turbine stator shroud endwall to reduce total pressure loss and secondary kinetic *** flow fields of the datum endwall design(Datum)and optimization endwall design(Opt)were investigated and *** loss analysis was performed with a loss breakdown *** entropy generation was classified as profile loss,secondary loss and trailing edge loss,all of which were *** secondary loss was much smaller than the profile *** general,the blade row total entropy loss decreased by 11.7%.The results showed that the Opt design reduced total pressure loss and coefficient of secondary kinetic energy by 11.1%and 11.0%,*** decrease in secondary kinetic energy could be attributed to the reduction in the horseshoe vortex and the reduced transverse pressure *** the outlet Mach numbers and inlet incidence angles vary,the performance of the profiled endwall design was always better than the datum *** the turbine stage simulation,the efficiency was increased by 0.28%with nonaxisymmetric endwall.
Background: The IoT (Internet of Things) assigns to the capacity of Device-to-Machine (D2M) connections, which is a vital component in the development of the digital economy. IoT integration with a human being enables...
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With the development and application of model-based systems engineering (MBSE), it is more and more accepted and valued in the aerospace field, and system modeling language (SysML), as the most popular model language ...
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Blockchain technology has the characteristics of non-tampering and forgery, traceability, and so on, which have good application advantages for the storage of multimedia data. So we propose a novel method using matrix...
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