• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.1
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• pp.85-92
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• 2024

In this paper, we developed an intuitive teaching and control system that directly teaches a task by holding the tip of a robotic arm and moving it to a desired position. The developed system consists of a 6-axis force sensor that measures position and attitude forces at the tip of the robot arm, an algorithm for generating robot arm joint speed control commands based on the measured forces at the tip, and a self-made 6-axis robot arm and control system. The six-dimensional force/torque of the position posture of the robot arm operator steering the handler is detected by the force sensor attached to the handler at the leading edge and converted into velocity commands at the leading edge to control the 7-axis robot arm. The verification of the research method was carried out with a self-made 7-axis robot, and it was confirmed that the proposed force sensor-based robot end-of-arm control method operates successfully through experiments by teaching the operator to adjust the handler.

• Journal of Korean Society of Transportation
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• v.35 no.4
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• pp.348-359
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• 2017

Recently, various public transportation activation policies are being implemented in order to mitigate traffic congestion in metropolitan areas. Especially in the metropolitan area, the bus information system has been introduced to provide information on the current location of the bus and the estimated arrival time. However, it is difficult to predict the travel time due to repetitive traffic congestion in buses passing through complex urban areas due to repetitive traffic congestion and bus bunching. The previous bus travel time study has difficulties in providing information on route travel time of bus users and information on long-term travel time due to short-term travel time prediction based on the data-driven method. In this study, the path based long-term bus travel time prediction methodology is studied. For this purpose, the training data is composed of 2015 bus travel information and the 2016 data are composed of verification data. We analyze bus travel information and factors affecting bus travel time were classified into departure time, day of week, and weather factors. These factors were used into clusters with similar patterns using self organizing map. Based on the derived clusters, the reference table for bus travel time by day and departure time for sunny and rainy days were constructed. The accuracy of bus travel time derived from this study was verified using the verification data. It is expected that the prediction algorithm of this paper could overcome the limitation of the existing intuitive and empirical approach, and it is possible to improve bus user satisfaction and to establish flexible public transportation policy by improving prediction accuracy.

• Asia pacific journal of information systems
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• v.23 no.1
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• pp.45-63
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• 2013

The purpose of this research is on the identification of the effects of perceived interactivity formed by the electronic collaborative referral system on the organizational loyalty. Two channels through which the effects proceeded were investigated. One is the "system channel" which consists of "interactivity of the inter-organizational system ${\rightarrow}$ intention of using the system ${\rightarrow}$ organization loyalty" (hypothesis 1, 2), that is the channel which anticipates that a better understanding on the interactivity of the inter-organizational system makes the intention of the using the system strong, and this strong intention results the higher organization loyalty. The other is "organization channel" which consists of "interactivity of the inter-organizational system ${\rightarrow}$ perceived interactivity on the counterpart ${\rightarrow}$ perceived relation benefits with the counterpart ${\rightarrow}$ organization loyalty" (hypothesis 3, 4, 5). The channel means that as the perceived interactivity of users on the inter-organizational system becomes greater, the perceived interactivity with the counterpart is increasing. And this makes the users feel that more benefits can be obtained by the relationship with system providing organization, and finally makes the organization loyalty that is the intention to maintain the relationship greater. The corroborative evidence data confirm the two channels are obtained by questing on the electronic referral system of Samsung Medical Center to the doctors of the first and second collaborated hospitals or clinics, and by analyzing statistically. The verification result for the "system channel" showed that as the perception on the interactivity of inter-organizational system was increasing, the intention for consistent using increased(support hypothesis 1), and then the organization loyalty that is the relationship maintaining indication by using the referral system also increased(support hypothesis 2). And the confirmation result for the "organization channel" indicated that the perceptive interactivity on the counterpart increased as the understanding on the interactivity of inter-organizational system increased(support hypothesis 3), consecutively, with the intuitive relation benefits increase with the counterpart(support hypothesis 4) the organization loyalty means the intention to maintain the relationship was confirmed to increase(support hypothesis 5). These results demonstrate that when the perceived interactivity in using many systems at the collaboration between organizations is increasing, the positive image on the systems creates the consistent system using intention, and the positive image increases the wants for preserving the relationship with counter organization. In addition, the perceived interactivity of inter-organizational system users affects directly on the perceived interactivity of the counter organization, so the important role of inter-organizational system in promoting the interactivity between cooperative counterparts was recognized. And the perceived interactivity on the counter organization become greater, the influence on the perceived benefits from cooperation is positive. Therefore, the perceived interactivity by using inter-organizational system was confirmed as a prerequisite for the continuous relationship.

• Journal of Korean Society of Transportation
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• v.28 no.1
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• pp.15-24
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• 2010

Until now, the location and the size of gate are designed by only experience and intuitive use judgement. However there are no studies that investigated how many people will be using each subway gate depending on the location of gates. Therefore, the purpose of this study is to develop a gate choice model of subway station. The most critical element of a gate choice in subway station is the location of pedestrian's destinations. In this study, the development of the regression model is constructed from data of land use characteristic of station vicinity and the number of bus route and the space structure of station vicinity(Depth concept by Space Syntax analysis and total road length of station vicinity) by using the real data of 30 subway station in Seoul. This study found that subway pedestrian flow are mainly determined by three factors; the total floor space of commercial buildings, Total Depth(space structure index of station vicinity), and the number of bus route. The verification of a proposed model is done by using the real gate pedestrian data of two subway station in Seoul; Gang-nam and Yang-jae. The additional study of how to define the gate impact area is analysed. Therefore, this study will provide the theoretical bases in decision of gate location and size when a new subway station is opened in future.