To address the problems of complex real voice feature distribution, easy overfitting by learning only one classification boundary, and poor generalization ability of existing voice spoofing detection methods for unkno...
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***Ni-Mn-X(X=Ga,In,Sn,or Sb)Heusler alloys have versatile properties[1-4],such as shape memory effect[1],superelastic-ity[5],magnetocaloric effect[3],elastocaloric effect[6],and even multicaloric effect[7],that indica...
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***
Ni-Mn-X(X=Ga,In,Sn,or Sb)Heusler alloys have versatile properties[1-4],such as shape memory effect[1],superelastic-ity[5],magnetocaloric effect[3],elastocaloric effect[6],and even multicaloric effect[7],that indicate their potential for use in actu-ators,sensors,micropumps,energy harvesters,and solid-state re-frigeration[8-10].Among the alloys,Ni-Mn-Sn-based alloys are environment-friendly and cost-effective[6,7,11],and hence,they have received widespread attention.
The Al-5Cu alloys were prepared by different treatment methods,including adding a refiner Al-5Ti-1B,exerting a rotating magnetic field(RMF),and compound treatment of both refiner and *** effects of treatment methods o...
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The Al-5Cu alloys were prepared by different treatment methods,including adding a refiner Al-5Ti-1B,exerting a rotating magnetic field(RMF),and compound treatment of both refiner and *** effects of treatment methods on the microstructure,properties,and solid solubility of the Al-5Cu alloy were *** optimal magnetic field parameters and addition amount of refiner were confirmed by *** show that either RMF or adding refiner Al-5Ti-1B alone can refine the grain size,and the refining effect can be further improved by a compound refining treatment with optimized magnetic field parameters(120 A current and 8 Hz frequency) and 1.0wt.% Al-5Ti-1B refiner(RMF*+Al-5Ti-1B*).The average grain size is decreased to 68.1 μm,which is 60.8%,21.1%,and 83.5% lower than that of the alloy treated by the optimized rotating magnetic field,the Al-5Ti-1B refiner,and the alloy without any treatment,*** tensile strength and elongation of the alloy reach 232.5 MPa and 18.6%,respectively,which are obviously higher than those of the alloys treated by rotating magnetic field,Al-5Ti-1B refiner,and the alloy without any treatment,***,the solid solubility of the alloy is also obviously improved compared to the alloys treated by other methods.
With the development of high-performance computing,it is possible to solve large-scale computing ***,the irregularity and access characteristics of computing problems bring challenges to the realisation and performanc...
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With the development of high-performance computing,it is possible to solve large-scale computing ***,the irregularity and access characteristics of computing problems bring challenges to the realisation and performance *** the performance of a single core makes it challenging to maintain Moore's law,and multi-core processors emerge.A chip brings together multiple universal processor cores of equal status and has the same structure supported by an isomorphic multi-core *** high-performance computing,the granularity of computing tasks leads to the complexity of scheduling *** high system performance,load balancing and processor fault tolerance at a minimum cost is the key to task scheduling in the high-performance field,especially in specific multi-core hardware *** this study,global real-time task scheduling is implemented in a high-performance multi-core *** system adopts the hybrid scheduling among clusters and the intelligent fitting within clusters to implement the global real-time task scheduling *** the cluster scheduling policy,tasks are allowed to preempt the core with low priority,and the priority of tasks that access memory is dynamically improved,higher than that of all the tasks without memory *** intelligent fitting method is also *** the data read by the task is in the cache and the cache access ability value of the task is within a reasonable threshold,the priority of the task is promoted to the highest priority,pre-empting the core without the access memory *** results show that the intelligently fitting global scheduling strategy for multi-core systems has better performance in the nuclear utilisation rate and task schedulability.
In recent years,PbZrO_(3)(PZO)films have become favorable electric storage materials due to the unique electric field-induced phase transition behavior,but the severe hysteresis effect leads to low energy storage dens...
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In recent years,PbZrO_(3)(PZO)films have become favorable electric storage materials due to the unique electric field-induced phase transition behavior,but the severe hysteresis effect leads to low energy storage density and *** this work,inserting Al_(2)O_(3)(AO)insulation nanolayers is proposed to tune the polarization behavior of flexible PZO films,anticipating optimization of energy storage *** results show that the thickness of the AO nanolayers has a deep influence on the polarization behavior of the PZO films,and PZO/AO/PZO(PAP)sandwiched films with 8 nm AO interlayer deliver relaxor ferroelectric-like polarization instead of antiferroelectric *** further utilize the AO nanolayers as top/bottom layers,the linear-like polarization and the highest breakdown strength are achieved in the AO/PZO/AO/PZO/AO(APAPA8)multilayer films,leading to both high discharged energy storage density of 35.2 J/cm^(3) and efficiency of 92.9%,as well as excellent fatigue and bending endurance,good temperatures,and frequency *** tunable polarization induced by growing the AO nanolayers makes antiferroelectric PZO films have great potential to be used as energy storage dielectrics.
Deep learning-based semantic segmentation of airborne laser scanning (ALS) point clouds receives extensive attention from researchers in the field of remote sensing and computing. However, due to the special propertie...
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The emergence of various types of deception attacks presents a substantial risk to Automatic Speaker Verification (ASV) systems, and an increasing number of experts and scholars are focusing on the research of voice d...
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Given the high prevalence of colon diseases, it is crucial to utilize computer vision technology for precise polyp segmentation during colonoscopy. However, manual detection becomes increasingly challenging due to the...
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This research introduces a comprehensive suite of neural network models designed to tackle the challenging task of rumor stance detection within the framework of simulating complex rumor propagation systems. Our objec...
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Federated learning enables collaborative learning across distributed medical institutions without centralizing data. However, existing studies often overlook class imbalance in medical images, which can degrade model ...
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