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RISS 인기검색어
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- 저자 : Chen Chengjie (검색결과 6 건)
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Artificial neural network reconstructs core power distribution
Wenhuai Li,Peng Ding,Wenqing Xia,Shu Chen,Fengwan Yu,Chengjie Duan,Dawei Cui,Chen Chen 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.2
To effectively monitor the variety of distributions of neutron flux, fuel power or temperatures in thereactor core, usually the ex-core and in-core neutron detectors are employed. The thermocouples fortemperature measurement are installed in the coolant inlet or outlet of the respective fuel assemblies. Itis necessary to reconstruct the measurement information of the whole reactor position. However, thereading of different types of detector in the core reflects different aspects of the 3D power distribution. The feasibility of reconstruction the core three-dimension power distribution by using different combinations of in-core, ex-core and thermocouples detectors is analyzed in this paper to synthesize theuseful information of various detectors. A comparison of multilayer perceptron (MLP) network and radialbasis function (RBF) network is performed. RBF results are more extreme precision but also moresensitivity to detector failure and uncertainty, compare to MLP networks. This is because that localizedneural network could offer conservative regression in RBF. Adding random disturbance in trainingdataset is helpful to reduce the influence of detector failure and uncertainty. Some convolution neuralnetworks seem to be helpful to get more accurate results by use more spatial layout information, thoughrelative researches are still under way
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Starter Culture Design to Overcome Phage Infection During Yogurt Fermentation
Chengjie Ma,Zhengjun Chen,Guangyu Gong,Lifen Huang,Sha Li,Aimin Ma 한국식품과학회 2015 Food Science and Biotechnology Vol.24 No.2
Streptococcus thermophilus phages present hazards for yogurt processing. In order to avoid adverse effects, different component yogurt starters were designed. For 2-component yogurt starters consisting of an S. thermophilus sensitive and a Lactobacillus delbrueckii ssp. bulgaricus strain, phage infection was destructive. Phages resulted in increased fermentation time, unbalanced cocci to rod ratios, decreased viscosity values, and varied sensory properties. For 3-component yogurt starters consisting of S. thermophilus sensitive, S. thermophilus insensitive, and L. bulgaricus strains, phage invasion did not result in the undesirable effects of slow acidification, decreased viscosity values, and unbalanced cocci to rod ratios. The 3- component yogurt starter stabilized fermentation and improved the practical fermentation performance in the presence of phages. Combinations of different S. thermophilus strains in the design and use of yogurt starters should be considered.
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Differentiation of Streptococcus thermophilus Strains in Commercial Direct Vat Set Yoghurt Starter
Chengjie Ma,Zhengjun Wu,Zhengjun Chen,Zhaoping Du,Kejie Sun,Aimin Ma 한국식품과학회 2013 Food Science and Biotechnology Vol.22 No.4
Based on inhibition of acid production, 100individual colonies of Streptococcus thermophilus isolated from commercial Direct Vat Set yoghurt starter DVS-M were typed into 2 groups of sensitive and insensitive to phage ϕ001, which was isolated from the lysis culture of the turbidity test. The ratio between the sensitive and insensitive isolates in DVS-M was calculated at 3:2. Whole-cell protein profile (WCPP) and randomly amplified polymorphic DNA (RAPD) analysis showed that both WCPP and RAPD patterns between sensitive and insensitive isolates were distinct, whereas isolates with the same sensitivity or insensitivity shared common WCPP and RAPD patterns. It suggested that all the sensitive isolates belong to one S. thermophilus strain and all the insensitive isolates belong to another one. This study revealed that DVS-M yoghurt starter consists of 2 S. thermophilus strains with different phage sensitivity.
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Xie Tao,Zhang Wei,Chen Chengjie,Wang Xiaoshuang,Zhang Jing,Luan Aiping,He Yehua 한국원예학회 2023 Horticulture, Environment, and Biotechnology Vol.64 No.6
Somatic embryogenesis (SE) is a key regeneration process in plant. AcSERK1 is a gene specifi cally expressed in the early stage of SE in pineapple ( Ananas comosus ), suggesting that the promoter of SERK1 might contain specifi c cis acting element regulating SE. To identify embryonic cell-specifi c element in the SERK1 promoter, a series of binary plant transformation vectors with GUS (β-glucuronidase) reporter gene were systematically analyzed by transient gene expression system in wild-type and transgenic pineapple embryogenic callus. Histochemical and quantitative GUS assays demonstrated that the activity of the AcSERK1 upstream regulatory sequence lacking − 921 to -911 or -910 to -880 was signifi cantly reduced in the embryonic callus of the pineapple, and these two regions were needed for the embryonic cell-specifi c. Besides, a promoter lacking − 943 to -922 was shown to signifi cantly increase GUS activity in embryogenic callus, suggesting repressive elements exist in this region. Our data of stable transformation assays confi rmed again the 5’ upstream regulatory sequence (-921 to -880) of the AcSERK1 gene is an essential functional region. Our fi ndings lay the basis for better understanding of the molecular mechanisms of AcSERK1 gene in the regulation in early stage of SE.
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Jinhua Liu,Liang Luo,Xuewen Xiao,Chen Zhang,Ling Zhang,Chengji Mi 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.6
In order to optimize the stiffness and strength and modal characteristics of frame in an electric mining dump truck determined by experiential design, the multi-objectives topology optimization is the most frequently used method. However, each single objective satisfaction degree has fuzziness when it comes to solve engineering problems. In this paper, a novel fuzzy multi-objective topology optimization method based on fuzzy satisfaction variable weight coefficients was presented. Based on the variable density method and SIMP interpolation model, the single objective topology optimization design under different conditions was performed. The fuzzy membership function was utilized to measure the sub-objective fuzzy satisfaction degree of frame. The weight factor of each single objective was dynamically assigned through variable weight approach. In consideration of fatigue stress constraint, the fuzzy multi-objectives topology optimization of frame was conducted through OptiStruct solver. The results showed that the stiffness of optimized frame under forward torsion and post torsion and full torsion conditions was improved by 4.7 %, 7.4 % and 5.4 %, respectively, while the stiffness of optimized frame under bending condition was worsened by 2.7 %. The first order natural frequency of optimized frame was improved by 5.6 %.
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