2,916 research outputs found

    Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network

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    Training robust deep learning (DL) systems for medical image classification or segmentation is challenging due to limited images covering different disease types and severity. We propose an active learning (AL) framework to select most informative samples and add to the training data. We use conditional generative adversarial networks (cGANs) to generate realistic chest xray images with different disease characteristics by conditioning its generation on a real image sample. Informative samples to add to the training set are identified using a Bayesian neural network. Experiments show our proposed AL framework is able to achieve state of the art performance by using about 35% of the full dataset, thus saving significant time and effort over conventional methods

    Modeling the Field Emission Current Fluctuation in Carbon Nanotube Thin Films

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    Owing to their distinct properties, carbon nanotubes (CNTs) have emerged as promising candidate for field emission devices. It has been found experimentally that the results related to the field emission performance show variability. The design of an efficient field emitting device requires the analysis of the variabilities with a systematic and multiphysics based modeling approach. In this paper, we develop a model of randomly oriented CNTs in a thin film by coupling the field emission phenomena, the electron-phonon transport and the mechanics of single isolated CNT. A computational scheme is developed by which the states of CNTs are updated in time incremental manner. The device current is calculated by using Fowler-Nordheim equation for field emission to study the performance at the device scale.Comment: 4 pages, 5 figure

    From Type IIA Black Holes to T-dual Type IIB D-Instantons in N=2, D=4 Supergravity

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    We discuss the T-duality between the solutions of type IIA versus IIB superstrings compactified on Calabi-Yau threefolds. Within the context of the N=2, D=4 supergravity effective Lagrangian, the T-duality transformation is equivalently described by the c-map, which relates the special Kahler moduli space of the IIA N=2 vector multiplets to the quaternionic moduli space of the N=2 hyper multiplets on the type IIB side (and vice versa). Hence the T-duality, or c-map respectively, transforms the IIA black hole solutions, originating from even dimensional IIA branes, of the special Kahler effective action, into IIB D-instanton solutions of the IIB quaternionic sigma-model action, where the D-instantons can be obtained by compactifying odd IIB D-branes on the internal Calabi-Yau space. We construct via this mapping a broad class of D-instanton solutions in four dimensions which are determinded by a set of harmonic functions plus the underlying topological Calabi-Yau data.Comment: LaTeX, 37 pages. Some typos fixed. Final version, to appear in Nucl. Phys.

    Gauged LeLμLτL_e-L_{\mu}-L_{\tau} symmetry, fourth generation, neutrino mass and dark matter

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    We present two models where the familiar leptonic symmetry LeLμLτL_e-L_\mu-L_\tau is a gauge symmetry. We show how anomaly cancellation constrains the allowed theories, with one of them requiring a fourth sequential chiral standard model fermion generation and a second one with three generations, requiring gauging of (LeLμLτ)(B1B2B3)(L_e-L_\mu-L_\tau)-(B_1-B_2-B_3) with BaB_a representing the baryon number of the aath generation quarks. Unlike global LeLμLτL_e-L_\mu-L_\tau models which always leads to inverted mass hierarchy for neutrinos, the gauged version can lead to normal hierarchy. We show how to construct realistic models in both the cases and discuss the dark matter candidate in both. In our model, the breaking of U(1)LeLμLτU(1)_{L_e-L_\mu-L_\tau} is responsible for neutrino mass via type-I mechanism whereas the real part of U(1)LeLμLτU(1)_{L_e-L_\mu-L_\tau} breaking scalar field (called ϕ\phi here) plays the role of freeze-in dark matter candidate. Since ϕ\phi is unstable, for it to qualify as dark matter, its lifetime must be larger than the age of the Universe, implying that the relic of ϕ\phi is generated through freeze-in mechanism and its mass must be less than an MeV. We also discuss the possibility of explaining both muon and electron (g2)(g-2) while being consistent with the dark matter relic density and lifetime constraints.Comment: 31 pages, 10 captioned figures, Accepted for publication in Phys. Lett.
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