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A Simulated Culture? : Cultural Learning Impact of the One-day Study Tour
Li-Jiuan Lilie Tsay,An-Wen Deng,Su-Yuan Lien 세계문화관광학회 2008 International Journal of Culture and tourism Resea Vol.1 No.1
One-day study tour in Taiwan began its establishment in early 2007, inspired by the An-San English Village in Seoul, in order to help students learn English quickly and efficiently. Different situational classrooms, such as a clinic, a hotel, a travel agency etc., are set up and manned with native teachers to teach students appropriate conversations accordingly. The main ideas of setting up such an English immersion program are to provide students with enough exposure to an English speaking environment and the culture related. In language learning, culture is one of the key elements which often determine students' learning interest and therefore cannot be neglected. In this study, based on the previous literature research, a model which suggests the relationships among learners' English ability (EA), learning interest (LI) and the situational classroom teaching (SCT) is discussed and explored. The purpose of the study is to investigate whether the simulated culture in different classroom settings could enhance students' English ability and their learning interest through the examination of the model suggested.
Sliding mode control based on neural network for the vibration reduction of flexible structures
Huang, Yong-An,Deng, Zi-Chen,Li, Wen-Cheng Techno-Press 2007 Structural Engineering and Mechanics, An Int'l Jou Vol.26 No.4
A discrete sliding mode control (SMC) method based on hybrid model of neural network and nominal model is proposed to reduce the vibration of flexible structures, which is a robust active controller developed by using a sliding manifold approach. Since the thick boundary layer will reduce the virtue of SMC, the multilayer feed-forward neural network is adopted to model the uncertainty part. The neural network is trained by Levenberg-Marquardt backpropagation. The design objective of the sliding mode surface is based on the quadratic optimal cost function. In course of running, the input signal of SMC come from the hybrid model of the nominal model and the neural network. The simulation shows that the proposed control scheme is very effective for large uncertainty systems.
Sliding mode control based on neural network for the vibration reduction of flexible structures
Zi-chen Deng,Yong-an Huang,Wen-cheng Li 국제구조공학회 2007 Structural Engineering and Mechanics, An Int'l Jou Vol.26 No.4
A discrete sliding mode control (SMC) method based on hybrid model of neural network and nominal model is proposed to reduce the vibration of flexible structures, which is a robust active controller developed by using a sliding manifold approach. Since the thick boundary layer will reduce the virtue of SMC, the multilayer feed-forward neural network is adopted to model the uncertainty part. The neural network is trained by Levenberg-Marquardt backpropagation. The design objective of the sliding mode surface is based on the quadratic optimal cost function. In course of running, the input signal of SMC come from the hybrid model of the nominal model and the neural network. The simulation shows that the proposed control scheme is very effective for large uncertainty systems.
Perforation optimization of hydraulic fracturing of oil and gas well
Zhu, Hai Yan,Deng, Jin Gen,Chen, Zi Jian,An, Feng Chen,Liu, Shu Jie,Peng, Cheng Yong,Wen, Min,Dong, Guang Techno-Press 2013 Geomechanics & engineering Vol.5 No.5
Considering the influences of fluid penetration, casing, excavation processes of wellbore and perforation tunnels, the seepage-deformation finite element model of oil and gas well coupled with perforating technique is established using the tensile strength failure criterion, in which the user-defined subroutine is developed to investigate the dynamic evolvement of the reservoir porosity and permeability. The results show that the increases of perforation angle and decreases of perforation density lead to a higher fracture initiation pressure, while the changes of the perforation diameter and length have no evident influences on the fracture initiation pressure. As for initiation location for the fracture in wellbore, it is on the wellbore face while considering the presence of the casing. By contrast, the fractures firstly initiate on the root of the tunnels without considering casing. Besides, the initial fracture position is also related with the perforation angle. The fracture initiation position is located in the point far away from the wellbore face, when the perforation angle is around $30^{\circ}$; however, when the perforation angle is increased to $45^{\circ}$, a plane fracture is initiated from the wellbore face in the maximum horizontal stress direction; no fractures was found around perforation tunnels, when the angel is close to $90^{\circ}$. The results have been successfully applied in an oilfield, with the error of only 1.1% comparing the fracture initiation pressure simulated with the one from on-site experiment.