22 research outputs found
Local Geometric Distortions Resilient Watermarking Scheme Based on Symmetry
As an efficient watermark attack method, geometric distortions destroy the
synchronization between watermark encoder and decoder. And the local geometric
distortion is a famous challenge in the watermark field. Although a lot of
geometric distortions resilient watermarking schemes have been proposed, few of
them perform well against local geometric distortion like random bending attack
(RBA). To address this problem, this paper proposes a novel watermark
synchronization process and the corresponding watermarking scheme. In our
scheme, the watermark bits are represented by random patterns. The message is
encoded to get a watermark unit, and the watermark unit is flipped to generate
a symmetrical watermark. Then the symmetrical watermark is embedded into the
spatial domain of the host image in an additive way. In watermark extraction,
we first get the theoretically mean-square error minimized estimation of the
watermark. Then the auto-convolution function is applied to this estimation to
detect the symmetry and get a watermark units map. According to this map, the
watermark can be accurately synchronized, and then the extraction can be done.
Experimental results demonstrate the excellent robustness of the proposed
watermarking scheme to local geometric distortions, global geometric
distortions, common image processing operations, and some kinds of combined
attacks
Modeling the High-Pressure Solid and Liquid Phases of Tin from Deep Potentials with ab initio Accuracy
Constructing an accurate atomistic model for the high-pressure phases of tin
(Sn) is challenging because properties of Sn are sensitive to pressures. We
develop machine-learning-based deep potentials for Sn with pressures ranging
from 0 to 50 GPa and temperatures ranging from 0 to 2000 K. In particular, we
find the deep potential, which is obtained by training the ab initio data from
density functional theory calculations with the state-of-the-art SCAN
exchange-correlation functional, is suitable to characterize high-pressure
phases of Sn. We systematically validate several structural and elastic
properties of the {\alpha} (diamond structure), {\beta}, bct, and bcc
structures of Sn, as well as the structural and dynamic properties of liquid
Sn. The thermodynamics integration method is further utilized to compute the
free energies of the {\alpha}, {\beta}, bct, and liquid phases, from which the
deep potential successfully predicts the phase diagram of Sn including the
existence of the triple-point that qualitatively agrees with the experiment
Identification and validation of candidate genes associated with domesticated and improved traits in soybean
Soybean, an important source of vegetable oils and proteins for humans, has undergone significant phenotypic changes during domestication and improvement. However, there is limited knowledge about genes related to these domesticated and improved traits, such as flowering time, seed development, alkaline-salt tolerance, and seed oil content (SOC). In this study, more than 106,000 single nucleotide polymorphisms (SNPs) were identified by restriction site associated DNA sequencing of 14 wild, 153 landrace, and 119 bred soybean accessions, and 198 candidate domestication regions (CDRs) were identified via multiple genetic diversity analyses. Of the 1489 candidate domestication
genes (CDGs) within these CDRs, a total of 330 CDGs were
related to the above four traits in the domestication, gene ontology (GO) enrichment, gene expression, and pathway analyses. Eighteen, 60, 66, and 10 of the 330 CDGs were significantly associated with the above four traits, respectively. Of 134 traitassociated CDGs, 29 overlapped with previous CDGs, 11 were consistent with candidate genes in previous trait association studies, and 66 were covered by the domesticated and improved quantitative trait loci or their adjacent regions, having six common CDGs, such as one functionally characterized gene Glyma15 g17480 (GmZTL3). Of the 68 seed size (SS) and SOC CDGs, 37 were further confirmed by gene expression analysis. In addition, eight genes were found to be related to artificial selection
during modern breeding. Therefore, this study provides an
integrated method for efficiently identifying CDGs and valuable information for domestication and genetic research
Broadening Band of Wind Speed for Aeroelastic Energy Scavenging of a Cylinder through Buffeting in the Wakes of a Squared Prism
Small-scale energy harvesting from ambient vibration induced by aerodynamic instabilities can be used for wireless sensing applications. The configuration with a bluff body attached to a piezoelectric cantilever has been exploited in many studies. For low-wind energy harvesting, vortex-induced vibration is investigated more frequently than other types of flow-induced motions, such as galloping and flutter, because of its quasisteady behavior called the potential lock-in phenomenon. In practice, a stationary square column is placed before the energy harvester to generate wake shedding, which can broaden the bandwidth of the energy harvester compared with a pure energy harvester equipped with a single bluff body. This paper presents a proposed CFD method coupled with an electromechanical model to predict the performance of the energy harvester. The proposed approach is verified with our experimental setup. The time history of the voltage output and the frequency response is obtained by performing the relevant experiments. A subsequent CFD study is performed to investigate the flow patterns of the present energy harvesting system
Application of a Logical Reasoning Approach Based Petri Net in Agriculture Expert System
International audienceFirst of all, a goal-guiding graphic reasoning approach that based on the predicate/transition system has been proposed for the first-order predicate logic. In process of reasoning, the premise is separated from the conclusion, which has been taken as the beginning of the backward reasoning that is purposeful and effective as well. Next, this reasoning approach has been applied in the agriculture expert system to present a method of solving problem, providing a new way for studying the reasoning mechanism of the agriculture expert system