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RISS 인기검색어
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- 저자 : Honglei Tian (검색결과 3 건)
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Wang Lingyun,Tian Tian,Xu Honglei,Tong Huamin 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.5
The stable operation of power system has the strong constraint of load balance. Accurate power load forecasting is of great signifi cance in ensuring power system planning and reliable and economic operation. For this purpose, a novel power load forecasting integrating variational modal decomposition (VMD), t-distributed stochastic neighbor embedding dimension reduction visualization analysis (t-SNE), compound prediction models adopting least squares support vector machine (LSSVM) and Tent mapping function as well as chaotic sparrow search algorithm (CSSA), is proposed in this paper. To begin with, for the high-dimensional meteorological data aff ecting the power load forecasting, the t-SNE is adopted. Meanwhile, the comparison experiments with fi ve common dimensional reduction algorithms prove that t-SNE can better map high-dimensional meteorological data to low-dimensional space. Then, the VMD is used to decompose the electricity load, which decomposes the non-stationary electricity load series into multiple sets of relatively stationary sub-series. Meanwhile, key parameters in the LSSVM model are optimized using the CSSA optimization algorithm under Tent chaotic perturbation, and the component is predicted by optimized LSSVM model. Finally, the ultimate forecasting results of the electricity load are calculated by superimposing the predicted values of all components. The experiments results reveal that the proposed model provides competitive advantages over other models and off ers greater prediction accuracy
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Incomplete autophagy promotes the replication of Mycoplasma hyopneumoniae
Wang Zhaodi,Wen Yukang,Zhou Bingqian,Tian Yaqin,Ning Yaru,Ding Honglei 한국미생물학회 2021 The journal of microbiology Vol.59 No.8
Autophagy is an important cellular homeostatic mechanism for recycling of degradative proteins and damaged organelles. Autophagy has been shown to play an important role in cellular responses to bacteria and bacterial replication. However, the role of autophagy in Mycoplasma hyopneumoniae infection and the pathogenic mechanism is not well characterized. In this study, we showed that M. hyopneumoniae infection significantly increases the number of autophagic vacuoles in host cells. Further, we found significantly enhanced expressions of autophagy marker proteins (LC3-II, ATG5, and Beclin 1) in M. hyopneumoniae-infected cells. Moreover, immunofluorescence analysis showed colocalization of P97 protein with LC3 during M. hyopneumoniae infection. Interestingly, autophagic flux marker, p62, accumulated with the induction of infection. Conversely, the levels of p62 and LC3-II were decreased after treatment with 3-MA, inhibiting the formation of autophagosomes, during infection. In addition, accumulation of autophagosomes promoted the expression of P97 protein and the survival of M. hyopneumoniae in PK- 15 cells, as the replication of M. hyopneumoniae was downregulated by adding 3-MA. Collectively, these findings provide strong evidence that M. hyopneumoniae induces incomplete autophagy, which in turn enhances its reproduction in host cells. These findings provide novel insights into the interaction of M. hyopneumoniae and host.
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Lightweight design for the aluminum alloy-carbon fiber hybrid structure of the EMU car body
Yiming Shangguan,Wenjing Wang,Anrui He,Wenjun Ma,Honglei Tian 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.12
This paper presents an innovative electric multiple unit (EMU) car body lightweight design approach that integrates structural and material optimizations. The structural lightweight design was carried out by using a sub-frame-based method and the non-dominated genetic algorithm II. The plate thicknesses of 28 car body components were chosen as the optimization design variable. The lightweight material design was realized by replacing the aluminum alloy with composite material. The two-dimensional Hashin criterion was used to analyze and validate the strength of the composite driver’s cab. Results show that after size optimization, the structure weight of the vehicle was reduced from 10964 kg to 8661 kg, which was 21.01 % less than the initial configuration. This modular lightweight design strategy for EMU car body optimization offers valuable insights that could be taken into account in future EMU car body designs.
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