• Korean Journal of Childcare and Education
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• v.13 no.6
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• pp.87-109
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• 2017

Objective: The purpose of this study is to examine the relationship between student teachers' perceptions on cooperating teacher's professionalism and motivation to become a teacher. Methods: The participants were 399 student teachers studying child care and education at two-year or four-year colleges in Seoul, Gyeonggi, Incheon, South Chungcheong, and Daejeon. They completed questionnaires on student teachers' perceptions on cooperating teacher's professionalism and motivation to become a teacher. The data were analyzed using ANOVA, t-test, and partial-correlation analyses. Results: There were three findings from this study. First, there was a significant difference in student teachers' perceptions on cooperating teacher's professionalism depending on the type of child care center and education system, rather than the type of class. Second, there was a significant difference in student teachers' motivation to become a teacher depending on the students' education system. Third, student teachers' perceptions on their cooperating teacher's professionalism correlated with their motivation to become a teacher. Conclusion/Implications: This study suggests that student teachers' perceptions on cooperating teacher's professionalism is significantly different depending on the type of child care center or educational system and is related with motivation to become a teacher.

• Journal of Institute of Control, Robotics and Systems
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• v.16 no.2
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• pp.101-106
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• 2010

Researches on air-ground robot cooperating system has been made recently. The cooperation among homogeneous robots focused on the architecture of the system, quality and influence of the communication. In contrast, the cooperation among heterogeneous robots such as aerial vehicle and ground vehicle robots has not been much handled. There are a couple of main points for those air-ground cooperating robots. One is using UAV (Unmanned Aerial Vehicle) as an extra sensor of UGV (Unmanned Ground Vehicle). This kind of application is usually used in situations such as guiding UGV to an appropriate path which could be better determined from the eye in the sky as UAV. The other main application of air-ground cooperating robot system is the localization. By combining sensor information from both UAV and UGV, the robot system as a whole can localize a target object or find features in the environment with better performance than UGV or UAV alone. Although these applications are recently studied in many different ways and devices, there are still a lot of possibilities in the field of air-ground cooperating robot systems. We introduce those research fields in this paper.

• Korean Journal of Child Studies
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• v.22 no.4
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• pp.213-224
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• 2001

This study was conducted to explore the communication processes and contents between cooperating teachers and their student teachers during student teaching conferences. To reach this purpose, five research questions were generated. 15 cooperating teachers and their 15 student teachers from 9 kindergartens located in Seoul and Ilsan city participated in the study. The conferences of each dyad were tape-recorded for further analysis. "Analyzing System for Interaction of Learning" designed by Thies-Sprinthall was used to analyze the data. The research findings were as follows: First, cooperating teachers talked more than the student teacher during the conference. Second, the cooperating teachers used more directive talk than indirective talk. Third, the speaking patterns of the student teachers revealed that student teachers express their opinions frequently(55.6% of total pattern). Fourth, cooperating teachers focused their remarks more on the instructional issues(48.5%). The cooperating teachers emphasized on the operation of class(23.1%), other subject(12.3%), practical guidance(10.7%), self-assesment(5.4%) in order. Fifth, the most emphasized issue by student teachers was the instructional matters which was reported by 53.4% of the entire subjects.

• Journal of Fisheries and Marine Sciences Education
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• v.27 no.4
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• pp.912-923
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• 2015

In the results of analyzing Korean corrective action for what are required to be improved according to EU listing Korea as yellow-card non-cooperating third countries against IUU fishing, in order to establish advanced fishery order, it is thought that the following additional improvements are required. (1) The introduction of integrated management system of fishing vessel sailing route, fishing activity, fish catch, and inshore fishing vessel must be considered. (2) It is necessary to establish a system to cross check catch transaction, catch landing, and fish catch report submitted by fishing vessel. (3) Catch transshipment approval system shall be introduced. And a system of reporting and checking catch transshipment at sea shall be reinforced. (4) Punishment shall be strengthened to the extent of making people to perceive that loss due to punishment is larger than profit made from illegal fishing. (5) It shall be so improved that more than a certain percentage of all vessels with fish and fish products caught in waters outside Korea's judicial waters shall be arbitrarily chosen and searched besides a case of being suspected to be IUU fishing. In conclusion, on being listed by EU as yellow-card non-cooperating third countries against IUU fishing, Korean fishery management system shall be generally reexamined, and it shall serve as an occasion to exterminate IUU fishing and to advance fishery management system.

• Proceedings of the IEEK Conference
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• 2003.07c
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• pp.2709-2712
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• 2003

In this paper, dynamic constraints are considered for the analysis of manipulability of robotics systems comprised of two cooperating arms. Given bounds on the torques of joint actuators for each robot, the purpose of this study is to derive the bounds of task acceleration of object carried by the system. Under the assumption of complete constraint contact, a set of examplar polytope describing acceleration bounds of two cooperating robots are included.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.05a
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• pp.67-68
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• 2006

In this paper, a new revolute cooperating robot arms with 12 d.o.f was developed for autonomous moving robots. The robot ann was designed to have the load capacity of 10 Kg. For this, a new joint actuator based on the fourbar link mechanism was employed. As a control system for the robot arm, a distributed control system was developed composed of the main controller and five motor controller for the ann joints. The main controller and the motor controller were developed using the ARM microprocessor and the TMS320c2407 processor, respectively. To validate the performance of the robot system, an experiment to support 10 Kg payload was performed.

• Journal of the Korea Society for Simulation
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• v.15 no.3
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• pp.61-67
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• 2006

This paper provides a systematic way of integrating human intelligence and autonomous precision of robots to achieve the highest possible performance of a cooperating robot system. Adjustable autonomy, which deals with the combination of human and robotic skills, has the potential to bridge the gap which leaves many tasks suited to robotics beyond the reach of existing technology. Especially we will show that relevant human assistance or intervention will increase system performance by improving the exception handling capability, simplifying autonomous operation, and boosting speed and reliability. To support the usefulness of our scheme, a series of experiments were conducted with three cooperating robots which work together to dock both ends of a long suspended beam into stanchions.

• Transactions of the Korean Society of Mechanical Engineers
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• v.19 no.4
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• pp.1023-1032
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• 1995

The multiple cooperating robot system plays an important role in the research of modern manufacturing system as the emphasis of production automation is more on the side of flexibility than before. While the kinematic and dynamic analysis of a single robot is performed as an open-loop chain, the dynamic formulation of robot in a multiple cooperating robot system differs from that of a single robot when the multiple cooperating robots form a closed kinematic chain holding an object simultaneously. The object may be any type from a rigid body to a multi-joint linkage. The mobility of the system depends on the kinematic configuration of the closed kinematic chain formed by robots and object, which also decides the number of independent input parameters. Since the mobility is not the same as the number of robot joints, proper constraint condition is sought. The constraints may be such that : the number of active robot joints is kept the same as mobility, all robot joints are active and have interrelations between each joint forces/torques, two robots have master-slave relation, or so on. The dynamic formulation of system is obtained. The formulation is based on recursive dual-number screw-calculus Newton-Eulerian approach which has been used for single robot analysis. This new scheme is recursive and compact symbolically and may facilitate the consideration of the object in real time.

• 제어로봇시스템학회:학술대회논문집
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• 1995.10a
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• pp.518-521
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• 1995

In this paper, a learning control problem is formulated for cooperating multiple-robot manipulators with uncertain system parameters. The commonly held object is also assumed to be unknown and the multiple-robots themselfs experience uncertain operating conditions such as link parameters, viscous friction parameters, suctions, actuator bias, and etc. Under these conditions, the learning controllers designed for learning of uncertain parameters and robot control inputs for multiple-robot systems are shown to drive the multiple-robot manipulators to follow the desired Cartesian trajectory with the desired internal forces to the unknown object.

• 제어로봇시스템학회:학술대회논문집
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• 1986.10a
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• pp.310-316
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• 1986

The problem of finding an allowable object trajectory for a cooperating two-robot system is investigated. The method proposed in this paper is based on reformulating the problem as a nonlinear optimization problem with equality constants in terms of the joint variables. The optimization problem is then solved numerically on a computer. The solution automatically gives the corresponding joint variable trajectories as well, thus eliminating the need for solving the inverse kinematic problem. The method has been succesfully applied to an experimental system.