Wan Kyun Chung
Samsung
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Publication
Featured researches published by Wan Kyun Chung.
Journal of Institute of Control, Robotics and Systems | 2012
Daegil Park; Kyungmin Kwak; Wan Kyun Chung; Jinhyun Kim
In this paper, an infrastructure-based localization method using underwater wireless sensor network (UWSN) is addressed. A localization using the UWSN is necessary to widen the usage of underwater applications, however it is very difficult to establish the UWSN due to the restrictions of water. In this paper, to extend the usage of UWSN at the infrastructure, we propose a sophisticated UWSN localization method using the Received Signal Strength Indicator (RSSI) of the electromagnetic waves. During the electromagnetic waves propagating in underwater, there arises a lot of attenuation according to the distance, while the attenuation shows uniformity according to the distance. Using this characteristics, the localization system in underwater infrastructure is proposed and the experimental results show the effectiveness.
Journal of Institute of Control, Robotics and Systems | 2015
Kyungmin Kwak; Daegil Park; Younghyeon Kim; Wan Kyun Chung; Jinhyun Kim
In this paper, we use the characteristics of electromagnetic waves underwater attenuation for estimating linear distance between a transmitting node and receiving node, and research underwater vertical plane attenuation model for constructing the underwater localization system. The underwater localization of 2 dimensional with the plane attenuation model in the horizontal plane (H-plane) was proposed previous research. But for the 3 dimensional underwater localization, the additional vertical plane (E-plane) model should be considered. Because the horizontal plane of omnidirectional antenna has the same attenuation tendency in x-y plane according to the distance, whereas in vertical plane shows an irregular pattern in x-z plane. For that reason, in the vertical plane environment, the attenuation should be changed by the position and inclination. Hence, in this paper the distance and angle between transmitting and receiving node are defined using spherical coordinate system and derive an antenna gain pattern using half power beam width (HPBW). The HPBW is called a term which defines antennas performance between isotropic and other antennas. This paper derives omnidirectional antennas maximum gain and attenuation pattern model and define vertical planes gain pattern model using HPBW. Finally, experimental verifications for the proposed underwater vertical planes attenuation model was executed.In this paper, we use the characteristics of electromagnetic waves underwater attenuation for estimating linear distance between a transmitting node and receiving node, and research underwater vertical plane attenuation model for constructing the underwater localization system. The underwater localization of 2 dimensional with the plane attenuation model in the horizontal plane (H-plane) was proposed previous research. But for the 3 dimensional underwater localization, the additional vertical plane (Eplane) model should be considered. Because the horizontal plane of omnidirectional antenna has the same attenuation tendency in x-y plane according to the distance, whereas in vertical plane shows an irregular pattern in x-z plane. For that reason, in the vertical plane environment, the attenuation should be changed by the position and inclination. Hence, in this paper the distance and angle between transmitting and receiving node are defined using spherical coordinate system and derive an antenna gain pattern using half power beam width (HPBW). The HPBW is called a term which defines antenna’s performance between isotropic and other antennas. This paper derives omnidirectional antenna’s maximum gain and attenuation pattern model and define vertical plane’s gain pattern model using HPBW. Finally, experimental verifications for the proposed underwater vertical plane’s attenuation model was executed.
Journal of Ocean Engineering and Technology | 2017
Daegil Park; Kyungmin Kwak; Jaehoon Jung; Jinhyun Kim; Wan Kyun Chung
In this paper, we propose an underwater localization scheme through the fusion of an inertial navigation system (INS) and the received signal strength (RSS) of electromagnetic (EM) wave sensors to guarantee precise localization performance with high sampling rates. In this localization scheme, the INS predicts the pose of the unmanned underwater vehicle (UUV) by dead reckoning at every step, and the RF sensors corrects the UUV position functions using the Earth-fixed reference when the UUV is located in underwater wireless sensor networks (UWSN). The localization scheme and state modeling were conducted in the extended Kalman filter framework, and UUV localization experiments were conducted in a basin environment. The scheme achieved reliable localization accuracy during long-term navigation, demonstrating the feasibility of exploiting EM wave attenuation as Earth-fixed reference sensors.
Archive | 2004
Youngjin Choi; Wan Kyun Chung
The conventional PID controller for automated machines is widely accepted by industry. According to a survey reported in [3, 66], more than 90% of control loops used in industry use PID. There are many types of PID controllers, e.g., PID plus gravity compensator, PID plus friction compensator, PID plus disturbance observer, etc. The wide acceptance of the PID controller in industry is based on the following advantages: it is easy to use, each term in the PID controller has clear physical meanings (present, past and predictive), and it can be used irrespective of the system dynamics. A Open image in new window optimal controller that is robust and performs well has been developed for nonlinear mechanical control systems; however, it has not been widely accepted in industry since it is not immediately clear which partial diMerential equations should be solved. To transfer Open image in new window control theory to industry, it is worthwhile to describe the relationship between Open image in new window control and PID. In this chapter, we analyze the Open image in new window optimality of a PID controller, especially for Lagrangian systems.The conventional PID controller for automated machines is widely accepted by industry. According to a survey reported in [3, 66], more than 90% of control loops used in industry use PID. There are many types of PID controllers, e.g., PID plus gravity compensator, PID plus friction compensator, PID plus disturbance observer, etc. The wide acceptance of the PID controller in industry is based on the following advantages: it is easy to use, each term in the PID controller has clear physical meanings (present, past and predictive), and it can be used irrespective of the system dynamics. A Open image in new window optimal controller that is robust and performs well has been developed for nonlinear mechanical control systems; however, it has not been widely accepted in industry since it is not immediately clear which partial diMerential equations should be solved. To transfer Open image in new window control theory to industry, it is worthwhile to describe the relationship between Open image in new window control and PID. In this chapter, we analyze the Open image in new window optimality of a PID controller, especially for Lagrangian systems.
Archive | 2002
Moon-Noh Lee; Won Kim; Gwang-Ho Lee; Sung-ro Go; Hong-rok Kim; Il-Hong Suh; Wan Kyun Chung; Young-Iin Choi
Archive | 2002
Moon-Noh Lee; Won Kim; Gwang-Ho Lee; Sung-ro Go; Hong-rok Kim; Il-Hong Suh; Wan Kyun Chung; Young-jin Choi
Journal of Korea Robotics Society | 2007
Jinhyun Kim; Wan Kyun Chung
Archive | 2018
Daegil Park; Kyungmin Kwak; Wan Kyun Chung; Jinhyun Kim
Journal of Sensor Science and Technology | 2017
Kyungmin Kwak; Daegil Park; Wan Kyun Chung; Jinhyun Kim
Journal of Korea Robotics Society | 2016
Kyungmin Kwak; Daegil Park; Wan Kyun Chung; Jinhyun Kim