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- 저자 : Junfeng Qu (검색결과 4 건)
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Towards on the MOOCs Knowledge Discovery Based on Concept Lattice
Junfeng Gao,Jingye Qu,Zhong Xin 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.5
This paper puts forward the methods on MOOCs knowledge organization and discovery, adopts the method of Formal Concept Analysis, uses concept lattice as the support tool, and selects the data from “Coursera” to cluster the courses and mine the inner knowledge association among courses, so as to discover the connotative knowledge correlation among MOOCs on the same topic and the structure characteristics among courses. Finally, based on the supergraph of the MOOCs concept lattice, the paper puts forward the visualization navigation method of the courses and provides flexible guiding principles for the learners whose knowledge structure is unusual in various fields when choosing the courses, so as to promote the development and improvement of the MOOCs websites by the knowledge organization and knowledge discovery technology.
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Research on Nonlinear Vibration Characteristics of Spiral Bevel Gear
Nie Junfeng,Yu Guangbin,Song Ye,Qu Zhigang,Zheng Minli,Zhao Xingfu 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.2
Based on the concentrated parameters theory, a 7-freedom coupled vibration dynamic model of the spiral bevel gear transmission system is established, which includes transmission error, time-varying mesh stiffness and the tooth backlash clearance. In the model, the axial vibration, the torsion oscillation of the gear pair aroused by tooth meshing force and the lateral oscillations resulting from flexional deformation of the gear shaft are taken into account. The mesh stiffness fluctuation is developed as 5-order Fourier series and the tooth backlash clearance is fitted by 7-order polynomial function. Through the Gear method, the dynamic response of the system is obtained, and the vibration characteristics are analyzed.
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Dynamic Characteristic Simulation of Helicopter Tail Drive Shaft System
Nie Junfeng,Yu Guangbin,Song Ye,Qu Zhigang,Zheng Minli,Zhao Xingfu 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.6
Helicopter with the advantage of light, flexible and hovering in the air, is widely used. In both military and civilian domain, it gets more and more attention. It becomes the main subject of research in the world. In the power transmission system of helicopter, the tail rotor shaft is an important part. It is one of the key technologies to predict the dynamic characteristics of the shaft accurately for improving the overall performance of the helicopter. Based on the theory of elastic mechanics, rotor dynamics and the finite element analysis, the former main drive shaft is taken as an example. The dynamic characteristics of the transmission shaft is calculated by the multi/few degrees of freedom finite element method. The validity of the finite element method with few degrees of freedom is determined. Then the structure characteristics of the helicopter tail drive shaft are analyzed, and the dynamic characteristics of the helicopter tail rotor shaft are calculated by using the finite element method with few degrees of freedom. The research results provide the basis and guidance for the design of the helicopter tail drive system.
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Lei Wang,Junfeng Qu,Li Zhou,Fei Liao,Ju Wang 대한암학회 2018 Cancer Research and Treatment Vol.50 No.3
Purpose The purpose of this study was to investigate the biological role and mechanism of miR-373 targeting of TFIIB-related factor 2 (BRF2) in the regulation of non-small cell lung cancer (NSCLC) cells. Materials and Methods miRNA microarray chip analysis of four paired NSCLC and adjacent non-tumor tissues was performed. Quantitative real-time polymerase chain reaction (qRT-PCR) and western blotting were used to detect the expression levels of miR-373 and BRF2 in NSCLC tissues and cell lines. The dual-luciferase reporter method was performed to determine if BRF2 is a target of miR-373. MTT, wound-healing, Transwell, and flow cytometric assays were conducted to examine the proliferation, migration, invasion, and cell cycle progression of NSCLC A549 cells, respectively; western blotting was used to detect the expression of epithelial-mesenchymal transition (EMT)–related proteins. Results The miRNA microarray chip analysis demonstrated that miR-373 was down-regulated in NSCLC tissues, and this result was confirmed by qRT-PCR. Additionally, miR-373 was confirmed to target BRF2. Moreover, miR-373 expression was inversely correlated with BRF2 expression in NSCLC tissues and cell lines; both miR-373 down-regulation and BRF2 up-regulation were strongly associated with the clinicopathological features and prognosis of NSCLC patients. In vitro, overexpression of miR-373 markedly inhibited cell proliferation, migration, and invasion; up-regulated the expression of E-cadherin; and down-regulated the expression of N-cadherin and Snail in A549 cell. Knockdown BRF2 by siRNA resulted in effects similar to those caused by overexpression of miR-373. Conclusion MiR-373 is decreased in NSCLC, and overexpression of miR-373 can suppress cell EMT, and inhibit the proliferation, migration, and invasion of NSCLC A549 cells by targeting BRF2.
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