http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Adaptive Neural Network Second-order Sliding Mode Control of Dual Arm Robots
Le Anh Tuan,주영훈,Le Quoc Tien,Pham Xuan Duong 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.6
An adaptive robust control system is considered for dual-arm manipulators (DAM) using the combinationof second-order sliding mode control (SOSMC) and neural networks. The SOSMC deals with the system robustnesswhen faced with external disturbances and parametric uncertainties. Meanwhile, the radial basis function network(RBFN) is to constitute an adaptation mechanism for approximating the unknown dynamic model of DAM. Thestability of model estimator-integrated controller is analyzed using Lyapuov theory. To show the effectiveness ofproposed controller, a four DOFs-DAM is applied as an illustrating example. The results reveal that the controllerworks well, excellently adapt to no information of robot modeling.
Parameter Estimator Integrated-sliding Mode Control of Dual Arm Robots
Le Anh Tuan,주영훈,Pham Xuan Duong,Le Quoc Tien 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.6
This paper presents the parameter estimator-integrated sliding mode control of dual arm robots. Todo so, a robust adaptive controller is designed for 3D cooperative motion of dual-arm robots based on the frameof second-order sliding mode control (SOSMC). Additionally, the method of the model-reference adaptive control(MRAC) is also utilized for constituting an adaptation mechanism then integrating it into the control loop to estimatethe unknown robot parameters. By doing so, the proposed controller is robust with disturbances and parametricuncertainties. Furthermore, the adaptive behavior is also achieved in which the control system does not need theinformation of many system parameters. Finally, the applicability and feasibility of the proposed controller ispresented through a 4 four degree-of-freedoms (DOFs) dual-arm manipulator.
Quoc Tuan Hoang,Xuan Hien Pham,Anh Vu Le,Trung Thanh Bui 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.3
Diagnosing breast diseases using ultrasound (US) images remains challenging because it is time-consuming and requires expert radiologist knowledge. As a result, the diagnostic performance is significantly biased. To assist radiologists in this process, computer-aided diagnosis (CAD) systems have been developed and used in practice. This type of system is used not only to assist radiologists in examining breast ultrasound images (BUS) but also to ensure the effectiveness of the diagnostic process. In this study, we propose a new approach for breast lesion localization and segmentation using a multi-scale pyramid of the ultrasound image of a breast organ and a convolutional semantic segmentation network. Unlike previous studies that used only a deep detection/segmentation neural network on a single breast ultrasound image, we propose to use multiple images generated from an input image at different scales for the localization and segmentation process. By combining the localization/segmentation results obtained from the input image at different scales, the system performance was enhanced compared with that of the previous studies. The experimental results with two public datasets confirmed the effectiveness of the proposed approach by producing superior localization/segmentation results compared with those obtained in previous studies.
Quoc-Tuan Vien,Dao-Tan-Hoang Nguyen,Le-Nam Tran,Een-Kee Hong 대한전자공학회 2009 ITC-CSCC :International Technical Conference on Ci Vol.2009 No.7
This paper proposes a new distributed space-time block code (DSTBC) over frequency selective fading channels in amplify-and-forward (AF) turbo-coded cooperative wireless relay networks with hybrid automatic repeat request (HARQ) combining schemes. The proposed DSTBC and HARQ schemes are designed to achieve spatial diversity gain and low decoding complexity. These goals are obtained by precoding the received signal at the relay to form the conventional space-time block codes. In addition, the coding gain is combined with the diversity gain to enhance the performance of DSTBC by adding turbo coding at the source and iterative decoding at the destination. Together with turbo coding, two fundamental HARQ combining schemes are considered in our design, including Chase combining (CC) and incremental redundancy (IR).
Factors Affecting Quality of Internal Control: A Case Study of Listed Banks in Vietnam
Quoc Thinh TRAN,Khanh Tuan NGUYEN,Xuan Thuy LE 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.5
Internal control is important for monitoring operations of organizations. In order to achieve the quality of internal control, organizations need to recognize different perspectives in which the components of internal control play a decisive role. Internal control is a process designed by the manager and it is applied within the organization to provide reasonable assurance of the reliability of financial information and to comply with policies, procedures, rules, regulations and laws. The article uses the ordinary least squares method and the seven-point Likert scale to test the variables affecting the quality of internal control in 18 Vietnamese listed banks. The article surveyed 179 leaders of listed banks. The results show that there are three variables out of a total of five variables that positively affect the quality of internal control, including the control environment, control activities, and monitoring. Accordingly, the managers of Vietnamese listed banks need to pay attention to building a corporate culture environment, improve the quality of control activities, and periodically and regularly conduct the monitoring. It contributes to improving the quality of internal control and is also an opportunity to increase economic benefits for Vietnamese listed banks in the context of international economic integration.