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Ruoyu Zhang,Changxi Feng,Ruoyu Zhang,Guangchao You,Rui Liu 한국강구조학회 2017 International Journal of Steel Structures Vol.17 No.1
In order to investigate mechanical properties of L-shaped column composed of concrete-filled square steel tubes (LCFT column) under eccentric compression, LCFT columns were designed and tested. Through two eccentric compression experiments, the failure mode, the curves of loading-displacement for the whole member and the curves of deflection for mono column (single limb of LCFT column) were obtained. Nonlinear finite element analysis was also employed in this investigation, in which thickness of tube flange, connecting plate thickness and diameter of the hole on connecting plate were discussed. According to results of eccentric compression test and finite element analysis, analytical method of bearing capacity of LCFT columns is proposed based on the yielding criterion of the cross-sectional edge stresses. Results of analytical method, finite element analysis and eccentric compression experiment are resistant with each other, and the accuracy of the analytical method in this paper is verified.
Fixed-time Synchronization of Memristive Cohen-Grossberg Neural Networks with Impulsive Effects
Ruoyu Wei,Jinde Cao,Ahmed Alsaedi 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.5
This paper investigates the fixed-time synchronization of memristive Cohen-Grossberg neural networks with impulsive effects. Through a nonlinear transformation and Fillipov discontinuous theory, we obtain an equivalent system from the original memristive Cohen-Grossberg neural networks. By constructing a discontinuous Lyapunov function and utilizing comparison principle, a sufficient condition is achieved to guarantee the fixed-time synchronization of drive-response system with impulsive effects. Moreover, for the purpose of reducing the cost of control, an adaptive control strategy is considered. Finally, corresponding numerical simulations are carried out to show the effectiveness of the analytic results.
Numerical simulation of fluidic thrust vectoring in an axisymmetric supersonic nozzle
Ruoyu Deng,Fanshi Kong,김희동 대한기계학회 2014 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.28 No.12
Transverse secondary gas injection into an axisymmetric supersonic nozzle under standard atmosphere pressure is investigated to getthe performance of thrust vectoring control. An analytical model was established based on the transverse injection flow. ThreedimensionalCFD methods were performed with different transverse secondary injection models. To validate the ability of the numericalmodel, numerical results were compared with the analytical and experimental results. Overall pressure distributions show quite goodmatch with the analytical and experimental results. The Mach number contours in different injection positions were obtained. Reflectionof the bow shock occurred for xj/L = 0.6, not for xj/L = 0.9. Nozzle pressure ratio is also the key factor for shock vector control. Based onthis data, thrust vectoring efficiency and system thrust ratio have been considered. Finally, the pressure distributions in different momentumflux ratios were studied in CFD and analytical models. The separating point of boundary layer is moving upstream with the increasingof momentum flux ratio. The result will provide the reference to the further development of shock vector control.
Constructing De-identified Brain Model using Deformable Registration
Ruoyu Du(두약유),Hyo Jong Lee(이효종) 한국정보과학회 2013 정보과학회 컴퓨팅의 실제 논문지 Vol.19 No.4
자기공명영상(Magnetic Resonance Image)의 3차원 구성은 두뇌 연구에 관한 임상 진단과 적용 연구분야 모두에서 필수적인 과정이다. 그러나, 이와 같은 3차원 영상의 구성에 따른 문제로는 환자의 신원이 노출될 수 있다는 것이다. 미국의 경우 1996년에 제정된 건강보험의 이동과 회계에 관한 법(HIPAA)의 개인정보 보호법에 의하여 환자들의 신원이 밝혀질 수 있는 개인정보는 연구목적으로 사용될 수 없으며, 이러한 정보가 제거된(de-identification)후에만 가능하도록 하였다. 이와 같은 환자의 신원 노출문제를 해결하기 위하여 기존 연구에서 활용된 자기공명영상 저장소의 데이터에 변형 정합기법을 적용하였다. 얼굴정보가 노출되는 MR 영상의 특징점들을 익명의 얼굴로 대체하여 신원을 은닉시키는 두뇌 형성 모델 알고리즘을 제안하였다. Three-dimensional (3-D) reconstruction of magnetic resonance (MR) brain imaging study is a routine component of both clinical practice and translational research. A problem of such reconstructions is the creation of a potentially recognizable face. The Health Insurance Portability and Accountability Act of 1996 (HIPAA) Privacy Rule requires that individually identifiable health information may not be used for research unless identifiers that may be associated with the health information are removed (de-identification). In this paper, to address this problem, MR images were selected from existing research repositories and a deformable registration has been applied to those MR images. The algorithm of de-identified brain construction model is proposed to substitute the facial features of identifiable MR images with an anonymous face.
CFD Study on the Isolator Performance of a Dual-Mode Scramjet
Ruoyu Deng,Yingzi Jin,Heuy Dong Kim 한국추진공학회 2015 한국추진공학회 학술대회논문집 Vol.2015 No.11
As one of the most promising propulsive systems in the future, the dual-mode scramjet has drawn the attention of many researchers. Detailed flow features concerned with the isolator play the important role in the dual-mode scramjet. The two-dimensional numerical model has been established to replicate the generic features of the dual-mode scramjet. Numerical results have been compared with the experimental results for validation. Overall pressure distribution shows quite good agreement with the experimental result. The constant-area variable-length isolator followed by a diffuser section has been researched in this study. The cases of isolator lengths from 8.7 to 20.7 show higher maximum back pressure than other cases. The option of optimal isolator length not only depends on maximum back pressure but also on total pressure loss in the isolator. In conclusion, the optimal isolator length (L/Hth) is 12.7 in this study.
( Ruoyu Du ),( Hyo Jong Lee ) 한국정보처리학회 2010 한국정보처리학회 학술대회논문집 Vol.17 No.1
Extracting the brain from magnetic resonance imaging head scans is an essential preprocessing step of which the accuracy greatly affects subsequent image analysis. The currently popular Brain Extraction Tool produces a brain mask which may be too smooth for practical use to reduce the accuracy. This paper presents a novel and indirect brain extraction method based on non-brain tissue segmentation. Based on ITK, the proposed method allows a non-brain contour by using region growing to match with the original image naturally and extract the brain tissue. Experiments on two set of MRI data and 2D brain image in horizontal plane and 3D brain model indicate successful extraction of brain tissue from a head.