170 research outputs found
InDEX: Indonesian Idiom and Expression Dataset for Cloze Test
We propose InDEX, an Indonesian Idiom and Expression dataset for cloze test.
The dataset contains 10438 unique sentences for 289 idioms and expressions for
which we generate 15 different types of distractors, resulting in a large
cloze-style corpus. Many baseline models of cloze test reading comprehension
apply BERT with random initialization to learn embedding representation. But
idioms and fixed expressions are different such that the literal meaning of the
phrases may or may not be consistent with their contextual meaning. Therefore,
we explore different ways to combine static and contextual representations for
a stronger baseline model. Experimentations show that combining definition and
random initialization will better support cloze test model performance for
idioms whether independently or mixed with fixed expressions. While for fixed
expressions with no special meaning, static embedding with random
initialization is sufficient for cloze test model.Comment: Accepted to "2022 International Conference on Asian Language
Processing (IALP)
Fracturing and thermal extraction optimization methods in enhanced geothermal systems
Fracture networks, fluid flow and heat extraction within fractures constitute pivotal aspects of enhanced geothermal system advancement. Conventional hydraulic fracturing in dry hot rock reservoirs typically requires high breakdown pressure and only produces a single major fracture morphology. Thus, it is imperative to explore better fracturing methods and consider more reasonable coupling mechanisms to improve the prediction efficiency. Cyclic fracturing using liquid nitrogen instead of water can generate more complex fracture networks and improve the fracturing performance. The simulation of fluid flow and heat transfer processes in the fracture network is crucial for an enhanced geothermal system, which requires a more comprehensive coupled thermo-hydro-mechanical-chemical model for matching, especially the characterization of coupling mechanism between the chemical and mechanical field. Based on the results of field engineering, laboratory experiments and numerical simulation, the optimum engineering scheme can be obtained by a multi-objective optimization and decision-making method. Furthermore, combining it with the deep-learning-based proxy model to achieve dynamic optimization with time is a meaningful future research direction.Document Type: PerspectiveCited as: Yang, R., Wang, Y., Song, G., Shi, Y. Fracturing and thermal extraction optimization methods in enhanced geothermal systems. Advances in Geo-Energy Research, 2023, 9(2): 136-140. https://doi.org/10.46690/ager.2023.08.0
BlinkFlow: A Dataset to Push the Limits of Event-based Optical Flow Estimation
Event cameras provide high temporal precision, low data rates, and high
dynamic range visual perception, which are well-suited for optical flow
estimation. While data-driven optical flow estimation has obtained great
success in RGB cameras, its generalization performance is seriously hindered in
event cameras mainly due to the limited and biased training data. In this
paper, we present a novel simulator, BlinkSim, for the fast generation of
large-scale data for event-based optical flow. BlinkSim consists of a
configurable rendering engine and a flexible engine for event data simulation.
By leveraging the wealth of current 3D assets, the rendering engine enables us
to automatically build up thousands of scenes with different objects, textures,
and motion patterns and render very high-frequency images for realistic event
data simulation. Based on BlinkSim, we construct a large training dataset and
evaluation benchmark BlinkFlow that contains sufficient, diversiform, and
challenging event data with optical flow ground truth. Experiments show that
BlinkFlow improves the generalization performance of state-of-the-art methods
by more than 40% on average and up to 90%. Moreover, we further propose an
Event optical Flow transFormer (E-FlowFormer) architecture. Powered by our
BlinkFlow, E-FlowFormer outperforms the SOTA methods by up to 91% on MVSEC
dataset and 14% on DSEC dataset and presents the best generalization
performance
Geometric Scaling of the Current-Phase Relation of Niobium Nano-Bridge Junctions
The nano-bridge junction (NBJ) is a type of Josephson junction that is
advantageous for the miniaturization of superconducting circuits. However, the
current-phase relation (CPR) of the NBJ usually deviates from a sinusoidal
function which has been explained by a simplified model with correlation only
to its effective length. Here, we investigated both measured and calculated
CPRs of niobium NBJs of a cuboidal shape with a three-dimensional bank
structure. From a sine-wave to a saw-tooth-like form, we showed that deviated
CPRs of NBJs can be described quantitatively by its skewness {\Delta}{\theta}.
Furthermore, the measured dependency of {\Delta}{\theta} on the critical
current {I_0} from 108 NBJs turned out to be consistent with the calculated
ones derived from the change in geometric dimensions. It suggested that the
CPRs of NBJs can be tuned by their geometric dimensions. In addition, the
calculated scaling behavior of {\Delta}{\theta} versus {I_0} in
three-dimensional space was provided for the future design of superconducting
circuits of a high integration level by using niobium NBJs.Comment: 20 pages, 10 figure
Challenges in QCD matter physics - The Compressed Baryonic Matter experiment at FAIR
Substantial experimental and theoretical efforts worldwide are devoted to
explore the phase diagram of strongly interacting matter. At LHC and top RHIC
energies, QCD matter is studied at very high temperatures and nearly vanishing
net-baryon densities. There is evidence that a Quark-Gluon-Plasma (QGP) was
created at experiments at RHIC and LHC. The transition from the QGP back to the
hadron gas is found to be a smooth cross over. For larger net-baryon densities
and lower temperatures, it is expected that the QCD phase diagram exhibits a
rich structure, such as a first-order phase transition between hadronic and
partonic matter which terminates in a critical point, or exotic phases like
quarkyonic matter. The discovery of these landmarks would be a breakthrough in
our understanding of the strong interaction and is therefore in the focus of
various high-energy heavy-ion research programs. The Compressed Baryonic Matter
(CBM) experiment at FAIR will play a unique role in the exploration of the QCD
phase diagram in the region of high net-baryon densities, because it is
designed to run at unprecedented interaction rates. High-rate operation is the
key prerequisite for high-precision measurements of multi-differential
observables and of rare diagnostic probes which are sensitive to the dense
phase of the nuclear fireball. The goal of the CBM experiment at SIS100
(sqrt(s_NN) = 2.7 - 4.9 GeV) is to discover fundamental properties of QCD
matter: the phase structure at large baryon-chemical potentials (mu_B > 500
MeV), effects of chiral symmetry, and the equation-of-state at high density as
it is expected to occur in the core of neutron stars. In this article, we
review the motivation for and the physics programme of CBM, including
activities before the start of data taking in 2022, in the context of the
worldwide efforts to explore high-density QCD matter.Comment: 15 pages, 11 figures. Published in European Physical Journal
Insight-HXMT observations of Swift J0243.6+6124 during its 2017-2018 outburst
The recently discovered neutron star transient Swift J0243.6+6124 has been
monitored by {\it the Hard X-ray Modulation Telescope} ({\it Insight-\rm HXMT).
Based on the obtained data, we investigate the broadband spectrum of the source
throughout the outburst. We estimate the broadband flux of the source and
search for possible cyclotron line in the broadband spectrum. No evidence of
line-like features is, however, found up to . In the absence of
any cyclotron line in its energy spectrum, we estimate the magnetic field of
the source based on the observed spin evolution of the neutron star by applying
two accretion torque models. In both cases, we get consistent results with
, and peak luminosity of which makes the source the first Galactic ultraluminous
X-ray source hosting a neutron star.Comment: publishe
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