A multi-task learning CNN for image steganalysis

Convolutional neural network (CNN) based image steganalysis are increasingly popular because of their superiority in accuracy. The most straightforward way to employ CNN for image steganalysis is to learn a CNN-based classifier to distinguish whether secret messages have been embedded into an image. However, it is difficult to learn such a classifier because of the weak stego signals and the limited useful information. To address this issue, in this paper, a multi-task learning CNN is proposed. In addition to the typical use of CNN, learning a CNN-based classifier for the whole image, our multi-task CNN is learned with an auxiliary task of the pixel binary classification, estimating whether each pixel in an image has been modified due to steganography. To the best of our knowledge, we are the first to employ CNN to perform the pixel-level classification of such type. Experimental results have justified the effectiveness and efficiency of the proposed multi-task learning CNN

Application of Centrifugation and Soilless Filtration Technologies in the Beer Production Process and Empirical Research on Their Impact on Beer Quality

By delving into the centrifugation and diatomaceous earth-free filtration techniques in various crucial aspects of beer production, this study aims to quantify their impacts on beer quality and environmental sustainability. Firstly, the effectiveness of these techniques in enhancing beer clarity and stability is compared through experiments, with a detailed analysis of their precision and chemical mechanisms in removing suspended particles. Additionally, their advantages in regulating beer taste and retaining flavor compounds are explored through sensory evaluation and chemical composition analysis. Most importantly, the focus is on sustainability and environmental friendliness, revealing the advantages of diatomaceous earth-free filtration techniques in reducing environmental burdens and carbon footprints through a comparison of filter material usage, waste generation, and energy efficiency. The results provide essential scientific evidence for the brewing industry to support its transition towards a more sustainable and eco-friendly direction. Centrifugation and diatomaceous earth-free filtration are two important innovations in modern brewing industry, playing a critical role in improving beer quality and production efficiency. In traditional beer production, the removal of suspended solids and liquid separation are crucial steps, and centrifugation and diatomaceous earth-free filtration technologies provide brewers with more precise and controllable tools. Centrifugation, as an efficient solid-liquid separation device, has been widely applied in the beer production process. It separates suspended yeast, proteins, and impurities from the fermenting liquid through centrifugal force, significantly enhancing beer clarity and stability. Furthermore, centrifugation can be used to control yeast concentration, thus influencing the flavor characteristics of beer, offering brewers more options for process control. Meanwhile, diatomaceous earth-free filtration is a revolutionary process that eliminates the use of traditional filter aids like silica or bone char, opting for more environmentally friendly and sustainable alternatives. This technology employs microfiltration membranes, nanomaterials, or other efficient filtration media to effectively remove suspended solids while retaining yeast and other beneficial components, thereby preserving beer’s texture and flavor characteristics

The K"ahler-Ricci flow with Log Canonical Singularities

We establish the existence of the K"ahler-Ricci flow on projective varieties with log canonical singularities. This generalizes some of the existence results of Song-Tian \cite{ST3} in case of projective varieties with klt singularities. We also prove that the normalized K"ahler-Ricci flow will converge to the \ka-Einstein metric with negative Ricci curvature on semi-log canonical models in the sense of currents. Finally we also construct K"ahler-Ricci flow solutions performing divisorial contractions and flips with log canonical singularities

A novel control system design for automatic feed drilling operation of the PLC-based oil rig

Aiming at the difficulties in realizing the accurate control due to the nonlinearity of the automatic drilling system of oil drilling rig, a design scheme is proposed by giving a constant drilled-pressure to the rig for fuzzy control. Sampling error with changes in the signal was sent into the fuzzy controller, which turned the signal into a fuzzy volume. Subsequently, a precise volume was obtained accordingly and then added to an actuator for the motor control. According to the MATLAB simulation results, the response could be faster and more stable compared with the traditional control

Contributions of photosynthetic organs to the seed yield of hybrid rice: The effects of gibberellin application examined by carbon isotope technology

The Author(s), 2018. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Contributions of photosynthetic organs to the seed yield of hybrid rice: The effects of gibberellin application examined by carbon isotope technology. Seed Science and Technology, 46(3), (2018): 533-546, doi:10.15258/sst.2018.46.3.10.Changes in the structure and quality of a hybrid combination population have been observed after the application of gibberellins. Such changes would affect the accumulation and distribution of photosynthetic products, which would subsequently affect the yield during hybrid rice seed production. In this study, photosynthetic physiological characteristics and the distribution of photosynthetic products were evaluated in a field experiment. The transport of panicle photosynthetic products to grain was demonstrated using a 14C isotope tracer technique.The contribution ratios of the panicle and leaf to yield in the hybrid rice seed production were 32.3 and 42.1%, respectively. Through isotope tracing technology, it was determined that about 90% of the photosynthetic products of the panicle and 50% of those of the leaf were delivered to the panicle. During the filling period, the contribution of panicle to yield was concentrated in the early period (0–10 days after pollination), and the contribution of leaf to yield was more significant in the late period (10 days after pollination to maturity). These results suggest that the panicle makes an important photosynthetic contribution (equivalent to that of the flag leaf) during the process of grain filling, especially at 0–5 days after the heading stage.We are thankful to anonymous reviewers and editors for their helpful comments and suggestions. This research was part of the project for the National Natural Science Foundation of China (No. 31271666), “12th 5-year plan” Agro-Scientific Research in the Public Interest (Grant No. 201303002) and the Earmarked Fund for China Agriculture Research System (Grant No. CARS-01-26)