814 research outputs found
CONSTRUCTIVE AND DISCRETE VERSIONS OF THE LYAPUNOV'S STABILITY THEOREM AND THE LASALLE'S INVARIANCE THEOREM
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Polyolefin-based electrospun fibrous matrices embedded with magnetic nanoparticles for effective removal of viscous oils
No full text© 2022 Elsevier LtdIn this work, we present a poly (ethylene-co-1-octene)-based fibrous matrix prepared via electrospinning for highly efficient removal of viscous oils. The sorbent consisting of linear low density polyethylene (LLDPE) allows selective absorption of crude oil spills at the water surface without the need for additional isolation of the matrix prior to the refining process. Moreover, the high specific pore volume of the LLDPE sorbent with uniform fibrous morphology was shown to enable the sorbent reach 81.5 ± 5.9% of its equilibrium absorption capacity within 5 min. Furthermore, magnetic nanoparticles (MNP) are incorporated into each fiber comprising the matrix to facilitate the recovery process via external magnetic field without altering the intrinsic absorption capacity. We envision that these sorbents offer a sustainable route for the quick and thorough clean-up of spilled oil due to their high absorption capacity, fast absorption rate, ease of recovery, and absence of secondary waste.11Nsciescopu
Two-stage Topology Optimization Framework of a Rare-earth-free Synchronous Reluctance Motor Considering Manufacturability and Structural Safety
No full textsj-pdf-1-trj-10.1177_00405175211060886 - Supplemental material for Development of the Auto-Fit Dial and its application to protective vests
No full textSupplemental material, sj-pdf-1-trj-10.1177_00405175211060886 for Development of the Auto-Fit Dial and its application to protective vests by Jaewook Ryu, Sujin Park, Sumin Helen Koo and Giuk Lee in Textile Research Journal</p
Variational cycle-consistent imputation adversarial networks for general missing patterns
No full textImputation of missing data is an important but challenging issue because we do not know the underlying distribution of the missing data. Previous imputation models have addressed this problem by assuming specific kinds of missing distributions. However, in practice, the mechanism of the missing data is un-known, so the most general case of missing pattern needs to be considered for successful imputation. In this paper, we present cycle-consistent imputation adversarial networks to discover the underlying distribution of missing patterns closely under some relaxations. Using adversarial training, our model successfully learns the most general case of missing patterns. Therefore our method can be applied to a wide variety of imputation problems. We empirically evaluated the proposed method with numerical and image data. The result shows that our method yields the state-of-the-art performance quantitatively and qualitatively on standard datasets. (c) 2022 Elsevier Ltd. All rights reserved.N
전산공력음향학을 위한 적응형 비선형 인공감쇄모형
No full textAn adaptive nonlinear artificial dissipation model is presented for performing aeroacoustic computations by the high-order and high-resolution numerical schemes based on the central finite differences. An effective formalism of it is devised by combining a selective background smoothing term and a well-established nonlinear shock-capturing term which is for the temporal accuracy as well as the numerical stability. A conservative form of the selective background smoothing term is presented to keep accurate phase speeds of the propagating nonlinear waves. The nonlinear shock-capturing term that has been modeled by the second-order derivative term is combined with it to improve the resolution of discontinuities and stabilize the strong nonlinear waves. It is shown that the improved artificial dissipation model with an adaptive control constant which is independent of problem types reproduces the correct profiles and speeds of nonlinear waves, suppresses numerical oscillations near discontinuity and avoids unnecessary damping on the smooth linear acoustic waves. The feasibility and performance of the adaptive nonlinear artificial dissipation model are investigated by the applications to actual computational aeroacoustics problems
Diagnosis Framework for Lithium-ion Battery Degradation by Simultaneous Prediction of Capacity and Power Fade
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Design of chiral guest-host liquid crystals for a transmittance-tunable smart window
No full text© 2022 Optica Publishing GroupDichroic absorption dye-doped liquid crystal switching is preferred for transmittance control with maintaining visual clarity. In this paper, we present a parametric analysis of chiral guest-host liquid crystal (C-GHLC) switching for an enhanced transmittance-tunable smart window. Further analysis of the chiral twist power resulted in the proposal of a new modified transmittance governing formula for C-GHLC. The optimal C-GHLC cell design was determined through a comprehensive examination of the electro-optic transmittance change between transparent and opaque states by optimizing the chiral twist power in terms of ‘d/p’. Along with the theoretical parametric design of the C-GHLC cell, an optimal condition for the C-GHLC cell which can use commercial display driving environments was experimentally demonstrated for the first time. Consequently, an improved transmittance control (∆T ≈ 40.5%) with a low voltage (Von ≈ 18 V) and with a sufficiently fast response time (τ ≈ 12 ms) suitable for 60 Hz (< 16.7 ms) was confirmed.11Ysciescopu
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