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RISS 인기검색어
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- 저자 : Chaofeng Li (검색결과 7 건)
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Chaofeng Li,Shihua Zhou,Shijie Jiang,Hexing Yu,Bang-chun Wen 대한기계학회 2014 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.28 No.7
The stability of periodic motion of a rotor-bearing system with two unbalanced disks is analyzed based on a multi-degree of freedom(M-DOF) finite element model. Nonlinear effects of supporting oil-film and inertia distributions as well as shearing effect are taken intoaccount. Focusing on the more realistic FE method to study the stability of nonlinear rotor-bearing system with the influence of the eccentricityphase, the stability calculation of the M-DOF FE model is done by using the combination of Shooting method and Newmarkmethod. Experiments with a rotor-bearing test rig (two disks on a shaft with two bearings) are then performed and results are presented. Itis found that typical instability characteristic is successfully produced. Through comparisons between calculated results and measurements,it is shown that the combination of Shooting method and Newmark method in studying the M-DOF rotor-bearing system is useful,especially for the complex rotor-bearing system. In addition, altering eccentricity phase of the two disks can significantly influence instabilitytype and speed. When the two disks are out of phase, the occurring of oil whip is restrained effectively. It is suggested that a carefulexamination should be made in modeling more complex non-linear rotor-bearing system.
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A YOLOv4 Model with FPN for Service Plates Detection
Li Chaofeng,Wang Baoping 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.4
Intelligent service plates detection plays an important role in smart city. For example, intelligent service plates detection can realize more effi cient and accurate self-service charges for restaurants, and saves labor costs, additionally. This paper constructs a service plates detection dataset. On this basis, Faster R-CNN and MobilenetV3 are fi rstly leveraged to conduct service plates detection. In addition, authors propose an intelligent service plate detection method based on FPN (Feature Pyramid Network) + YOLOv4 network. Specifi cally, YOLOv4 is utilized to extract initial image features, and a variant of FPN network for YOLOv4 backbone is designed to aggregate multi-granularity image features. To boost the training effi ciency, transfer learning algorithm is also introduced into our approach. Through the corporation of FPN + YOLOv4 framework and transfer learning algorithm, they realize the accurate and fast intelligent service plate detection. The experimental results show that: compared with MobilenetV3 model and faster R-CNN, our method achieves great improvement. In the future, authors will improve the network to achieve higher accuracy and faster calculation speed, and expand our data set to more realistic scene images
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Li Zhang,Hejian Wang,Daolun Yu,Jie Chen,Chaofeng Xing,Jie Li,Jun Li,Yafei Cai 한국통합생물학회 2018 Animal cells and systems Vol.22 No.5
BMP I type receptor inhibitor can selectively inhibit BMP/Smad signaling pathways, mainly by inhibiting the BMP I type receptor activity to prevent phosphorylation of Smad1, Smad5 and Smad9. The aim of the present study was to explore the effects of mouse ovarian granulosa cell function and related gene expression by suppressing BMP/Smad signaling pathway with LDN- 193189(A type of BMP I type receptor inhibitor). In this study, we cultivate the original generation of mouse ovarian granular cells then collect cells and cell culture medium after treatment. Cellular localization and expression of Smad9 and P-smad9 proteins was studied by immunofluorescence (IF) in the ovarian granulosa cells of mouse; Related genes mRNA and proteins expression was checked by QRT-PCR and Western blot; Detected the concentration of related hormones by using ELISA kit; finally, the growth of the cells was analyzed by plotting cell growth curve with CCK-8 assay. The results indicate that, suppression of BMP/Smad signaling pathway can inhibit the expression of LHR and FSHR, inhibit cell proliferation and decrease E2 secretion, the mechanism of action maybe reduce the expression of smad9, at the same time, we found that the feedback regulation of smad9 may affect the expression of FSHR and cell proliferation.
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Hao Fang,Chaofeng Li,Jiajia Zhao,Chen Zhao 한국생물공학회 2021 Biotechnology and Bioprocess Engineering Vol.26 No.4
Cellulase has the biggest contribution to the high production costs of lignocellulose bioconversion and the substantial decrease of its production cost is the key to the commercialization of lignocellulosic biorefineries. Trichoderma reesei has the most robust cellulase among the candidates, which therefore is widely used for cellulase production in industry. This is not because of the size of its cellulase gene pool but its prodigious cargo of cellulase productivity. Still, T. reesei cellulase falls far short of perfection in real-world applications, especially for the composition. This review summarized the biotechnological advances in engineering T. reesei for enhanced cellulase production. Meanwhile, we proposed innovative ideas of systematically optimizing cellulase composition at the transcriptional level and improving cellulase production at the regulation level. Efficient genome editing is essential to achieving that target. Thus, the developments of the tools of multiple gene manipulations were discussed in detail here. This review provides ideas and/or inspirations to the future researches on T. reesei cellulase.
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Different distribution patterns of microorganisms between aquaculture pond sediment and water
Dai Lili,Liu Chengqing,Peng Liang,Song Chaofeng,Li Xiaoli,Tao Ling,Li Gu 한국미생물학회 2021 The journal of microbiology Vol.59 No.4
Aquatic microorganisms in the sediment and water column are closely related; however, their distribution patterns between these two habitats still remain largely unknown. In this study, we compared sediment and water microeukaryotic and bacterial microorganisms in aquaculture ponds from different areas in China, and analyzed the influencing environmental factors as well as the inter-taxa relationships. We found that bacteria were significantly more abundant than fungi in both sediment and water, and the bacterial richness and diversity in sediment were higher than in water in all the sampling areas, but no significant differences were found between the two habitats for microeukaryotes. Bacterial taxa could be clearly separated through cluster analysis between the sediment and water, while eukaryotic taxa at all classification levels could not. Spirochaetea, Deltaproteobacteria, Nitrospirae, Ignavibacteriae, Firmicutes, Chloroflexi, and Lentimicrobiaceae were more abundantly distributed in sediment, while Betaproteobacteria, Alphaproteobacter, Cyanobacteria, Roseiflexaceae, Dinghuibacter, Cryomorphaceae, and Actinobacteria were more abundant in water samples. For eukaryotes, only Cryptomonadales were found to be distributed differently between the two habitats. Microorganisms in sediment were mainly correlated with enzymes related to organic matter decomposition, while water temperature, pH, dissolved oxygen, and nutrient levels all showed significant correlation with the microbial communities in pond water. Intensive interspecific relationships were also found among eukaryotes and bacteria. Together, our results indicated that eukaryotic microorganisms are distributed less differently between sediment and water in aquaculture ponds compared to bacteria. This study provides valuable data for evaluating microbial distributions in aquatic environments, which may also be of practical use in aquaculture pond management.
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