6,453 research outputs found
1,2-Bis[5-(4-cyanophenyl)-2-methyl-3-thienyl]-3,3,4,4,5,5-hexafluorocyclopent-1-ene: a photochromic diarylethene compound
The molecules of the title compound, C29H16F6N2S2, a photochromic dithienylethene with 4-cyanophenyl substituents, adopt an antiparallel arrangement that is reponsible for photoactivity. The molecule lies on a twofold rotation axis. The dihedral angle between the nearly planar cyclopentenyl and heteroaryl rings is 142.5 (3)°, and that between the heteroaryl and benzene rings is 22.4 (3)°. The distance between the heteroaryl rings of adjacent molecules is 3.601 (2) Å, indicating a π–π interaction
1-[5-(3-Chlorophenyl)-2-methyl-3-thienyl]-3,3,4,4,5,5-hexafluoro-2-(2-methoxyphenyl)cyclopent-1-ene
The title compound, C23H15ClF6OS, has thienyl and phenylene substituents on the double-bond C atoms of the envelope-shaped cyclopentenyl ring. The aromatic systems are aligned at 55.3 (4) (thienyl) and 60.8 (7)° (phenylene) with respect to the planar C—C=C—C portion of the main central cyclopentenyl ring
Comparative transcriptional profiling of orange fruit in response to the biocontrol yeast Kloeckera apiculata and its active compounds
List of defence-related differentially expressed genes in citrus under K. apiculata treatment. (XLS 115 kb
Low expression of chloride channel accessory 1 predicts a poor prognosis in colorectal cancer
© 2014 The Authors. Cancer published by Wiley Periodicals, Inc. on behalf of American Cancer Society. Funded by Friends of ANCHOR NHS Grampian Endowment Fund. Grant Number: 12/50Peer reviewedPublisher PD
FakeLocator: Robust Localization of GAN-Based Face Manipulations
Full face synthesis and partial face manipulation by virtue of the generative
adversarial networks (GANs) and its variants have raised wide public concerns.
In the multi-media forensics area, detecting and ultimately locating the image
forgery has become an imperative task. In this work, we investigate the
architecture of existing GAN-based face manipulation methods and observe that
the imperfection of upsampling methods therewithin could be served as an
important asset for GAN-synthesized fake image detection and forgery
localization. Based on this basic observation, we have proposed a novel
approach, termed FakeLocator, to obtain high localization accuracy, at full
resolution, on manipulated facial images. To the best of our knowledge, this is
the very first attempt to solve the GAN-based fake localization problem with a
gray-scale fakeness map that preserves more information of fake regions. To
improve the universality of FakeLocator across multifarious facial attributes,
we introduce an attention mechanism to guide the training of the model. To
improve the universality of FakeLocator across different DeepFake methods, we
propose partial data augmentation and single sample clustering on the training
images. Experimental results on popular FaceForensics++, DFFD datasets and
seven different state-of-the-art GAN-based face generation methods have shown
the effectiveness of our method. Compared with the baselines, our method
performs better on various metrics. Moreover, the proposed method is robust
against various real-world facial image degradations such as JPEG compression,
low-resolution, noise, and blur.Comment: 16 pages, accepted to IEEE Transactions on Information Forensics and
Securit
A Joint Design for Full-duplex OFDM AF Relay System with Precoded Short Guard Interval
In-band full-duplex relay (FDR) has attracted much attention as an effective
solution to improve the coverage and spectral efficiency in wireless
communication networks. The basic problem for FDR transmission is how to
eliminate the inherent self-interference and re-use the residual
self-interference (RSI) at the relay to improve the end-to-end performance.
Considering the RSI at the FDR, the overall equivalent channel can be modeled
as an infinite impulse response (IIR) channel. For this IIR channel, a joint
design for precoding, power gain control and equalization of cooperative OFDM
relay systems is presented. Compared with the traditional OFDM systems, the
length of the guard interval for the proposed design can be distinctly reduced,
thereby improving the spectral efficiency. By analyzing the noise sources, this
paper evaluates the signal to noise ratio (SNR) of the proposed scheme and
presents a power gain control algorithm at the FDR. Compared with the existing
schemes, the proposed scheme shows a superior bit error rate (BER) performance.Comment: 16 pages, 5 figure
Natural & Adversarial Bokeh Rendering via Circle-of-Confusion Predictive Network
Bokeh effect is a natural shallow depth-of-field phenomenon that blurs the
out-of-focus part in photography. In recent years, a series of works have
proposed automatic and realistic bokeh rendering methods for artistic and
aesthetic purposes. They usually employ cutting-edge data-driven deep
generative networks with complex training strategies and network architectures.
However, these works neglect that the bokeh effect, as a real phenomenon, can
inevitably affect the subsequent visual intelligent tasks like recognition, and
their data-driven nature prevents them from studying the influence of
bokeh-related physical parameters (i.e., depth-of-the-field) on the intelligent
tasks. To fill this gap, we study a totally new problem, i.e., natural &
adversarial bokeh rendering, which consists of two objectives: rendering
realistic and natural bokeh and fooling the visual perception models (i.e.,
bokeh-based adversarial attack). To this end, beyond the pure data-driven
solution, we propose a hybrid alternative by taking the respective advantages
of data-driven and physical-aware methods. Specifically, we propose the
circle-of-confusion predictive network (CoCNet) by taking the all-in-focus
image and depth image as inputs to estimate circle-of-confusion parameters for
each pixel, which are employed to render the final image through a well-known
physical model of bokeh. With the hybrid solution, our method could achieve
more realistic rendering results with the naive training strategy and a much
lighter network.Comment: 11 pages, accepted by TM
Numerical analysis of underwater flow past columnar projectile with different cross-sections at high Reynolds numbers
Based on Detached Eddy Simulation (DES) technique, the flow around a columnar projectile with different cross-section shapes in the supercritical and extremely supercritical region is simulated by the Fluent. The cross-section of the projectile is regular polygon, which number of edges is 4, 6, 8, 10, 12, 24 and ∞, where ∞ means a circle. The vortex shedding pattern and flow field characteristics are analyzed at Reynolds number 2.5×105 to 2×107. Regarding circular cylinder projectile, when the flow velocity changes from 25 m/s to 200 m/s, the average drag coefficient decreases, and the St Number increases. Regarding regular polygon, when the number of edges for polygon changes from 4 to ∞ at flow velocity 50 m/s, the average drag coefficient decreases, and the St Number increases. The average lift coefficient is almost equal to zero and does not change with the flow velocity and the cross-section. The pressure coefficient Cp of 4-prism, 6-prism, 8-prism, 12-prism and 24-prism has multiple local minimum values at the polygon vertices of the cross section. According to the spectrum analysis, the vortex shedding frequency of 4-prism, 24-prism and cylindrical is single and fixed, so the projectile may cause resonance and deviates from a predetermined trajectory. But for the 6-prism and 8-prism and 12-prism, the cl and cd is multi-periodic vibration. So, considering the flow induced structural vibrations, drag, the power of shrapnel and manufacturing cost, the 8-prism are better choices for cluster warhead underwater in engineering design
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