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Le Xuan Thu,오세봉(Se-Bong Oh),이우송(Woo-Song Lee),조상현(Sang-Hyun Cho),안용근(Yong-Kuen An),한성현(Sung-Hyun Han) 한국기계가공학회 2007 한국기계가공학회 춘추계학술대회 논문집 Vol.2007 No.-
In this paper, it is presented a new approach to the design of intelligent control system of a autonomous robot with two drive wheel. The proposed control scheme uses a Gaussian function as a unit function in the fuzzy neural network, and back propagation algorithm to train the fuzzy neural network controller in the framework of the specialized learning architecture. It is proposed a learning controller consisting of two neural network-fuzzy based on independent reasoning and a connection net with fixed weights to simply the neural networks-fuzzy. The performance of the proposed controller is shown by performing the computer simulation for trajectory tracking of the speed and azimuth of a mobile robot driven by two independent wheels
Le Xuan Thu,김윤구(Wn-Goo kim),안종국(Jong-Kug An),박세진(Se-Jin Park),한성현(Sung-Hyun Han) 한국생산제조학회 2006 한국공작기계학회 춘계학술대회논문집 Vol.2006 No.-
The equipment of industrial robot in manufacturing and assembly lines has rapidly increased. In order to achieve high productivity and flexibility, it becomes very important to develop the visual feedback control system with Off-Line Programming System(OLPS). We can save much efforts and time in adjusting robots to newly defined workcells by using OLPS. A proposed visual calibration scheme is based on position-based visual feedback. The calibration program firstly generates predicted images of objects in an assumed end-effector position. The process to generate predicted images consists of projection to screen-coordinates, visible range test, and construction of simple silhouette figures. Then, camera images acquired are compared with predicted ones for updating position and orientation data. Computation of error is very simple because the scheme is based on perspective projection, which can be also expanded to experimental results. Computation time can be extremely reduced because the proposed method does not require the precise calculation of tree-dimensional object data and image Jacobian.
Le, Thi Huong,Nga, Thi Thu Vu,Nguyen, Ngoc Dung,Le, Thi Thanh Xuan,Kim, Bao Giang,Phan, Thi Hai,Doan, Thu Huyen,Luong, Ngoc Khue,Nguyen, Tuan Lam,Hoang, Van Minh,Pham, Thi Quynh Nga Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.no.sup1
The aim of this paper is to report the rate of current and ever cigarette smoking and explore correlates of current cigarette smoking among adolescents aged 13-15 in Viet Nam. This analysis was derived from GYTS survey, which comprised of 3,430 adolescents aged 13-15, conducted in 2014 in 13 cities and provinces of Viet Nam. We calculated the weighted rates of current and ever cigarette smoking and reported patterns of smoking behavior. We also performed logistic regression to explore correlates of current cigarette smoking behavior. The weighted rate of ever cigarette smoking was 9.5% (95% confidence interval (CI): 8.5 %-10.5%), in which the weighted rate among males (15.4%; 95% CI: 13.6%-17.0%) was higher than that among females (4.2%; 95% CI: 3.3%-5.1%). The weighted rate of current cigarette smoking was relatively low at 2.5% (95%CI: 2.0%-3.0%) with higher weighted rate among males (4.9%; 95% CI: 3.8%-5.9%) compared to the corresponding figure among females (0.2%; 95% CI: 0.0 %-0.5%). Current cigarette smoking was significantly higher among males than females, in students aged 15 versus 13 years old, and in students who had several or all close friends smoking and students with daily observation of smoking at school. For greater smoking reduction outcomes, we recommend that tobacco interventions for adolescents should consider targeting more male students at older ages, establish stricter adherence to school-based banning of cigarette smoking, engage both smoking and nonsmoking adolescents and empower adolescents to resist peer smoking influence as well as changing their norms or beliefs towards smoking benefits.
Le Xuan Thu,한성현(Sung-Hyun Han),김홍래(Hong-Rae Kim),안종국(Jong-Kug An) 한국생산제조학회 2007 한국공작기계학회 춘계학술대회논문집 Vol.2007 No.-
The equipment of industrial robot in manufacturing and assembly lines has rapidly increased. In order to achieve high productivity and flexibility, it becomes very important to develop the visual feedback control system with Off-Line Programming System(OLPS). We can save much efforts and time in adjusting robots to newly defined workcells by using OLPS. A proposed visual calibration scheme is based on position-based visual feedback. The calibration program firstly generates predicted images of objects in an assumed end-effector position. The process to generate predicted images consists of projection to screen-coordinates, visible range test, and construction of simple silhouette figures. Then, camera images acquired are compared with predicted ones for updating position and orientation data. Computation of error is very simple because the scheme is based on perspective projection, which can be also expanded to experimental results. Computation time can be extremely reduced because the proposed method does not require the precise calculation of tree-dimensional object data and image Jacobian.
Le Xuan Thu,김윤구(Wn-Goo kim),안종국(Jong-Kug An),박세진(Se-Jin Park),한성현(Sung-Hyun Han) 한국기계가공학회 2006 한국기계가공학회 춘추계학술대회 논문집 Vol.2006 No.-
The equipment of industrial robot in manufacturing and assembly lines has rapidly increased. In order to achieve high productivity and flexibility, it becomes very important to develop the visual feedback control system with Off-Line Programming System(OLPS). We can save much efforts and time in adjusting robots to newly defined workcells by using OLPS. A proposed visual calibration scheme is based on position-based visual feedback. The calibration program firstly generates predicted images of objects in an assumed end-effector position. The process to generate predicted images consists of projection to screen-coordinates, visible range test, and construction of simple silhouette figures. Then, camera images acquired are compared with predicted ones for updating position and orientation data. Computation of error is very simple because the scheme is based on perspective projection, which can be also expanded to experimental results. Computation time can be extremely reduced because the proposed method does not require the precise calculation of tree-dimensional object data and image Jacobian.
Le Xuan Thu,오세봉(Se-Bong Oh),이우송(Woo-Song Lee),조창제(Chang-Jae Cho),박동준(Dong-Jun Park),한성현(Sung-Hyun Han) 한국생산제조학회 2007 한국공작기계학회 춘계학술대회논문집 Vol.2007 No.-
In this paper, it is presented a new approach to the design of intelligent control system of a autonomous robot with two drive wheel. The proposed control scheme uses a Gaussian function as a unit function in the fuzzy neural network, and back propagation algorithm to train the fuzzy neural network controller in the framework of the specialized learning architecture. It is proposed a learning controller consisting of two neural network-fuzzy based on independent reasoning and a connection net with fixed weights to simply the neural networks-fuzzy. The performance of the proposed controller is shown by performing the computer simulation for trajectory tracking of the speed and azimuth of a mobile robot driven by two independent wheels.
Minh Sang VO(Minh Sang VO ),Minh Quoc PHAM(Minh Quoc PHAM ),Thuy Bao Thu LE(Thuy Bao Thu LE ),Le Kim Ngan NGUYEN(Le Kim Ngan NGUYEN ),Xuan Tung DAO(Xuan Tung DAO ),Huynh To Nhi PHAM(Huynh To Nhi PHAM 한국유통과학회 2023 The Journal of Asian Finance, Economics and Busine Vol.10 No.2
The study aims to evaluate the impact of corporate social responsibility on customers’ repurchase intention in Vietnam’s fast-moving consumer goods (FMCG) industry. This study employs primary data surveyed from 417 Vietnamese consumers, and the sample is selected based on the willingness to participate in providing information. The results show corporate social responsibility’s positive impact on repurchase intention in the FMCG industry in the Vietnam market. There are three components of corporate social responsibility, including ethical responsibility, legal responsibility, and economic responsibility have a positive impact on repurchase intention. The economic responsibility component has the greatest effect on repurchase intention. There is not enough statistical basis for the philanthropic responsibility component of corporate social responsibility to recognize its impact on repurchase intention. The findings of this study suggest that companies dealing in the FMCG industry in Vietnam need to invest more in further developing their corporate social responsibility, it not only helps to improve their customer loyalty to businesses but also contributes to promoting the country’s economic and social development in a better and more sustainable direction.
Thu Ha Nguyen,Thi Lan Pham,Anh Quan Cao,Tuan Anh Nguyen,Xuan Minh Vu,Thi My Hanh Le,Van Thuan Le,Seiichi Kawahara,Dai Lam Tran 한국고분자학회 2024 Macromolecular Research Vol.32 No.4
This study describes the preparation and characterization of a green and safe membrane based on a natural polymer for metal adsorption. Natural rubber-grafted-(2-hydroxyethyl methacrylate) with a special nanostructure was synthesized by graft copolymerization of 2-hydroxyethyl methacrylate (HEMA) onto the surface of natural rubber (NR) particles using tert-butylhydroperoxide/tetraethylenepentamine as initiators. Optimal conditions for achieving high conversion and grafting efficiency were identified. Characterization of the as-synthesized samples was performed using Fourier-transform infrared spectroscopy, transmission electron microscopy, thermogravimetric analysis, tensile measurement, swelling degree determination, and cytotoxicity testing. The results revealed that HEMA formed a nanoscale matrix surrounding NR particles, which improved the tensile strength, thermal resistance, and swelling degree of the as-prepared samples. Cytotoxicity testing demonstrated that the membrane was safe for human use, as it did not exhibit toxicity to Vero cells at concentrations up to 1024 μg/mL. Furthermore, the membrane displayed a high adsorption capacity toward Fe3+ and was well described by Koble-Corrigan isotherm model and the first–second-order kinetic equation. Moreover, the membrane demonstrated excellent recyclability maintaining its adsorption ability towards Fe3+ ions over five consecutive cycles. Overall, these findings may recommend the NR-HEMA membrane as a promising candidate for metal removal applications.