2,050 research outputs found
Fractal model and Lattice Boltzmann Method for Characterization of Non-Darcy Flow in Rough Fractures.
The irregular morphology of single rock fracture significantly influences subsurface fluid flow and gives rise to a complex and unsteady flow state that typically cannot be appropriately described using simple laws. Yet the fluid flow in rough fractures of underground rock is poorly understood. Here we present a numerical method and experimental measurements to probe the effect of fracture roughness on the properties of fluid flow in fractured rock. We develop a series of fracture models with various degrees of roughness characterized by fractal dimensions that are based on the Weierstrass-Mandelbrot fractal function. The Lattice Boltzmann Method (LBM), a discrete numerical algorithm, is employed for characterizing the complex unsteady non-Darcy flow through the single rough fractures and validated by experimental observations under the same conditions. Comparison indicates that the LBM effectively characterizes the unsteady non-Darcy flow in single rough fractures. Our LBM model predicts experimental measurements of unsteady fluid flow through single rough fractures with great satisfactory, but significant deviation is obtained from the conventional cubic law, showing the superiority of LBM models of single rough fractures
Representation learning of vertex heatmaps for 3D human mesh reconstruction from multi-view images
This study addresses the problem of 3D human mesh reconstruction from
multi-view images. Recently, approaches that directly estimate the skinned
multi-person linear model (SMPL)-based human mesh vertices based on volumetric
heatmap representation from input images have shown good performance. We show
that representation learning of vertex heatmaps using an autoencoder helps
improve the performance of such approaches. Vertex heatmap autoencoder (VHA)
learns the manifold of plausible human meshes in the form of latent codes using
AMASS, which is a large-scale motion capture dataset. Body code predictor (BCP)
utilizes the learned body prior from VHA for human mesh reconstruction from
multi-view images through latent code-based supervision and transfer of
pretrained weights. According to experiments on Human3.6M and LightStage
datasets, the proposed method outperforms previous methods and achieves
state-of-the-art human mesh reconstruction performance.Comment: ICIP 202
Grounding Design to Prevent Electrostatic Accumulation in Foldable Displays
In traditional polymer organic light emitting diode (P-OLED) displays, electrostatic charge buildup can occur near the edge of the display, leading to abnormalities such as green flashes, vertical crosstalk, or a greenish display. To mitigate this problem, a discharge path is established to release electrostatic charges by using silver dotting on the edge of the display that connects to a conductive black matrix and provides a grounding path. However, for foldable displays, the silver dotting can crack due to the movement and sliding of different layers as the device is folded and unfolded, causing disconnection from ground. This disclosure describes a foldable display that implements an electrostatic discharge path as a grounding mechanism to avoid electrostatic charge accumulation at the edge of the display. The grounding design includes silver printing on the trim area of the device that is linked to a conductive pressure sensitive adhesive (PSA) to release the electrostatic charge via the device enclosure
Discretionary Loan Loss Provisions And Earnings Management For The Banking Industry
The purpose of the study is to investigate the relation between discretionary loan loss provisions and 6 indicators of bank operating performance for the period 1999-2004 under controlling the type of bank, ownership status and asset size. Besides, we investigate whether bank managers intend to use discretionary loan loss provisions as a means for earnings management. Based on the empirical results from the Taiwan Economic Journal (TEJ) database, the study finds: (1) the two earnings-related variables, namely earnings before loan loss provisions and one-year-ahead earnings, are significantly related to discretionary loan loss provision; (2) non-performing loans is significantly related to discretionary loan loss provisions, but non-performing loans ratio and bad debts coverage ratio are not found to be significantly linked to discretionary loan loss provisions; (3) capital adequacy ratio is not significantly related to discretionary loan loss provisions. Finally, our findings indicate that bank managers may use discretionary loan loss provisions to engage in earnings management when the earnings before loan loss provisions or non-performing loans are at a high level
N 1,N 2-Bis(6-methyl-2-pyridyl)formamidine
In the crystal structure of the title molecule, C13H14N4, the two pyridyl rings are not coplanar but twisted about the C—N bond with an interplanar angle of 71.1 (1)°. In the crystal, the molecules form dimers, situated on crystallographic centres of inversion, which are connected via a pair of N—H⋯N hydrogen bonds. C—H⋯π-electron ring interactions are also present in the crystal structure. The title molecule adopts an s–cis–anti–s–cis conformation in the solid state
Gas kinematics and star formation in the filamentary molecular cloud G47.06+0.26
We performed a multi-wavelength study toward the filamentary cloud
G47.06+0.26 to investigate the gas kinematics and star formation. We present
the 12CO (J=1-0), 13CO (J=1-0) and C18O (J=1-0) observations of G47.06+0.26
obtained with the Purple Mountain Observation (PMO) 13.7 m radio telescope to
investigate the detailed kinematics of the filament. The 12CO (J=1-0) and 13CO
(J=1-0) emission of G47.06+0.26 appear to show a filamentary structure. The
filament extends about 45 arcmin (58.1 pc) along the east-west direction. The
mean width is about 6.8 pc, as traced by the 13CO (J=1-0) emission. G47.06+0.26
has a linear mass density of about 361.5 Msun/pc. The external pressure (due to
neighboring bubbles and H II regions) may help preventing the filament from
dispersing under the effects of turbulence. From the velocity-field map, we
discern a velocity gradient perpendicular to G47.06+0.26. From the Bolocam
Galactic Plane Survey (BGPS) catalog, we found nine BGPS sources in
G47.06+0.26, that appear to these sources have sufficient mass to form massive
stars. We obtained that the clump formation efficiency (CFE) is about 18% in
the filament. Four infrared bubbles were found to be located in, and adjacent
to, G47.06+0.26. Particularly, infrared bubble N98 shows a cometary structure.
CO molecular gas adjacent to N98 also shows a very intense emission. H II
regions associated with infrared bubbles can inject the energy to surrounding
gas. We calculated the kinetic energy, ionization energy, and thermal energy of
two H II regions in G47.06+0.26. From the GLIMPSE I catalog, we selected some
Class I sources with an age of about 100000 yr, which are clustered along the
filament. The feedback from the H II regions may cause the formation of a new
generation of stars in filament G47.06+0.26.Comment: 10 pages, 11 figures, accepted for publication in A&
KINEMATICS ANALYSIS OF THE UPPER EXTREMITY DURING THE TWOHANDED BACKHAND DRIVE VOLLEY FOR FEMALE TENNIS PLAYERS
The purpose of this study was to discuss the motion characteristics of the arms in the two-handed backhand drive volley. Five elite female tennis players participated in this study, their two-handed backhand drive volley strokes were analysed, and all participants are right handed. Motion Analysis System with 10 Eagle Digital inferred high speed cameras at 200Hz were used for this study. The results show a similar elbow and wrist speed strategy in x-axis between two-handed ground stroke and drive volley, our study also found that the rear arm dominates the stroke and mainly provide the topspin that is required for the skill of the drive volley. In order to create better stroke efficiency, the right elbow reached peak velocity first, followed by the right wrist before racket impact with the ball
Stateless Two-Stage Multiple Criteria Scheduling in Nuclear Medicine
Examination in nuclear medicine exhibits scheduling difficulties due to its intricate clinical issues, such as varied radiopharmaceuticals for different diseases, machine preparation and length of scan, and patients’ and hospital’s criteria and/or limitations. Many scheduling methods exist but are limited for nuclear medicine. In this paper, we present stateless two-stage scheduling to cope with multiple criteria decision making. The first stage mostly deals with patients’ conditions. The second stage concerns more the clinical condition and its correlations with patients’ preference which presents more complicated intertwined configurations. A greedy algorithm is proposed in the second stage to determine the (time slot and patient) pair in linear time. The result shows practical and efficient scheduling for nuclear medicine
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