28,221 research outputs found
Thermal Analyses of Interfacial Reactions between Low Melting Point Active Fillers and Ceramics
No full textRelationship between wettability and interfacial reaction for Sn10Ag4Ti on Al2O3 and SiC substrates
No full textSelf-supervised anomaly detection based on foreground enhancement and autoencoder reconstruction
No full textAnomaly detection algorithms typically utilize generative models to reconstruct anomaly regions. Post-processing is used to pinpoint the anomalies. However, the paucity of real-world anomaly samples and the complex image backgrounds pose significant challenges for anomaly detection. The work innovatively proposed a self-supervised anomaly detection method. An efficient channel attention mechanism in the autoencoder was introduced to improve the reconstruction performance. Besides, a foreground enhancement strategy was designed to distinguish the foreground from the background by maximizing the inter-class variance. The strategy reduced the effect of background noises and simulated various anomalies that were rare in real samples. The MVTecAD and BTAD datasets were used to experiment with anomaly detection and location. Experimental results demonstrated that our method achieved higher AUC and AP scores at both the image level and pixel level compared to other advanced methods. In particular, the average AP score increased by 12.5% at the pixel level
A CMOS burst-mode TIA with step AGC and selective internally created reset for 1.25Gb/S EPON
No full textH∞ filtering for nonlinear discrete-time stochastic systems with randomly varying sensor delays
No full textThis is the post print version of the article. The official published version can be obained from the link - Copyright 2009 Elsevier LtdThis paper is concerned with the H∞ filtering problem for a general class of nonlinear discrete-time stochastic systems with randomly varying sensor delays, where the delayed sensor measurement is governed by a stochastic variable satisfying the Bernoulli random binary distribution law. In terms of the Hamilton–Jacobi–Isaacs inequalities, preliminary results are first obtained that ensure the addressed system to possess an l2-gain less than a given positive scalar γ. Next, a sufficient condition is established under which the filtering process is asymptotically stable in the mean square and the filtering error satisfies the H∞ performance constraint for all nonzero exogenous disturbances under the zero-initial condition. Such a sufficient condition is then decoupled into four inequalities for the purpose of easy implementation. Furthermore, it is shown that our main results can be readily specialized to the case of linear stochastic systems. Finally, a numerical simulation example is used to demonstrate the effectiveness of the results derived.This paper was not presented at any IFAC meeting. This paper was recommended for publication in revised form by Associate Editor James Lam under the direction of Editor Ian R. Petersen. This work was supported by the Shanghai Natural Science Foundation under Grant 07ZR14002, the Engineering and Physical Sciences Research Council (EPSRC) of the UK under Grant GR/S27658/01, the Royal Society of the UK and the Alexander von Humboldt Foundation of Germany
sj-docx-1-jdr-10.1177_00220345211070583 – Supplemental material for MSX1 Drives Tooth Morphogenesis Through Controlling Wnt Signaling Activity
No full textSupplemental material, sj-docx-1-jdr-10.1177_00220345211070583 for MSX1 Drives Tooth Morphogenesis Through Controlling Wnt Signaling Activity by J.-M. Lee, C. Qin, O.H. Chai, Y. Lan, R. Jiang and H.-J.E. Kwon in Journal of Dental Research</p
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