• Journal of the Korean Institute of Gas
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• v.16 no.4
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• pp.8-15
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• 2012

The GO-FLOW methodology is capable of assessing system reliability. It models the system into a GO-FLOW chart with signal lines and operators and assesses the reliability of system by assessing the GO-FLOW chart sequential. But, as it models one component of system into several operators, the GO-FLOW chart which is different from the system flow diagram be modeled. Also, as it models the real operation time into "time point", it is hard to assess the reliability change according to the real operation time. Therefore, in this paper, the new GO-FLOW methodology which use the function(success/failure) of system components has been developed. It can assess the successful operating probability of system, regardless of the operating status of components. As it models one component of system into one operator, the GO-FLOW chart which is similar the system flow diagram can be modeled. Also, it is able to easily assess the successful probability of system according to the real operation time using the time in the operators.

• Bulletin of the Society of Naval Architects of Korea
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• v.19 no.2
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• pp.41-60
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• 1982

The main idea of this report, which deals with the process analysis in outfitting fields, is to improve working methods and further to secure higher productivity by removing unreasonable work factors in the workshop with the economical point of view. For this purpose, a series of techniques has been applied to some parts of chronically less productive outfitting works, expecting less man hour consumption and better working conditions to go with it. That is to make full use of process chart flow diagram(man & machine chart gang process chart). The text gives brief introductions of the charts respectively and the appendix shows actual practice directly applicable for the guidance of utilizing these charts. As the result of this, some of unreasonable work factors are removed from the total cycle and finally standard working method & time can be come out by reasonable working time and gradually improved working method.

• Journal of the Semiconductor & Display Technology
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• v.21 no.4
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• pp.121-125
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• 2022

This paper deals with the development of a deep-learning-based robot that recognizes various types of stairs and performs a mission to go up to the target floor. The overall motion sequence of the robot is performed based on the ROS robot operating system, and it is possible to detect the shape of the stairs required to implement the motion sequence through rapid object recognition through YOLOv4 and Cuda acceleration calculations. Using the ROS operating system installed in Jetson Nano, a system was built to support communication between Arduino DUE and OpenCM 9.04 with heterogeneous hardware and to control the movement of the robot by aligning the received sensors and data. In addition, the web server for robot control was manufactured as ROS web server, and flow chart and basic ROS communication were designed to enable control through computer and smartphone through message passing.