• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.741-743
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• 2008

본 논문에서는 초고압 송전선의 조상설비나 안전도가 요구되는 변전설비 등에서 역률 개선용으로 사용되는 전력용 콘덴서의 Fuse를 설계하기 위해 Fuse 용단시험을 통해서 구한 Fuse 설계 데이터를 제시하고자 한다. 그리고, 제시한 데이터를 이용하여 주어진 사양의 전력용 콘덴서에 대하여 요구되는 실제 Fuse를 선정하여 적용하고 시제품을 제작하여 Fuse 동작시험을 실시한 결과를 제시하고자 한다.

• The Journal of the Korea Contents Association
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• v.14 no.1
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• pp.24-29
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• 2014

This paper proposes a kinect-based human motion recognition model for the 3D contents control after tracking the human body gesture through the camera in the infrared kinect project. The proposed human motion model in this paper computes the distance variation of the body movement from shoulder to right and left hand, wrist, arm, and elbow. The human motion model is classified into the movement directions such as the left movement, right movement, up, down, enlargement, downsizing. and selection. The proposed kinect-based human motion recognition model is very natural and low cost compared to other contact type gesture recognition technologies and device based gesture technologies with the expensive hardware system.

• Smart Media Journal
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• v.13 no.4
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• pp.16-22
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• 2024

Pitching is a major part of baseball, so much so that it can be said to be the beginning of baseball. Analysis of accurate pitching motions is very important in terms of performance improvement and injury prevention. When analyzing the correct pitching motion, the currently used motion capture method has several critical environmental drawbacks. In this paper, we propose analysis of pitching motion using the RGB-based Human Pose Estimation (HPE) model to replace motion capture, which has these shortcomings, and use motion capture data and HPE data to verify its reliability. The similarity of the two data was verified by comparing joint coordinates using the Dynamic Time Warping (DTW) algorithm.

• Journal of The Korean Association of Information Education
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• v.12 no.4
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• pp.469-476
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• 2008

To enhance the educational effect of Multi-Joint Robot have to easily develop motion through the control software. The traditional way of development technique for multi-joint robot is educated with very complicated implementation, but our motion creation tool can be possible to do the creative activity for controling robot movements with ease. This paper mentions to develop the motion creation tool for easily and quickly programming the motion control of multi-joint robot on the educational program. With this tool we easily and exactly provide the education of robot program. In this paper, our suggested tool could not only evade the traditional way of a complicated control program using programming languages but also control easier the robot than the GUI(Graphic User Interface) programming centered on the user's convenience. Additionally, the robot motion's implementation is possible applied with microprocessor experimental equipment educationally to practical use.

• Journal of IKEEE
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• v.10 no.2 s.19
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• pp.128-133
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• 2006

This paper describes a high speed interface circuit using redundant multi-valued logic for high speed communication ICs. This circuit is composed of encoding circuit that serial binary data are received and converted into parallel redundant multi-valued data, and decoding circuit that converts redundant multi-valued data to parallel binary data. Because of the multi-valued data conversion, this circuit makes it possible to achieve higher operating speeds than that of a conventional binary logic. Using this logic, the proposed 1:4 DEMUX (demultiplexer, serial-parallel converter), was designed using a 0.35um standard CMOS technology. Proposed DEMUX is achieved an operating speed of 4.5Gb/s with a supply voltage of 3.3V and with power consumption of 53mW. The operating speed of this circuit is limited by the maximum frequency which the 0.35um process has. Therefore, this circuit is to achieve CMOS communication ICs with an operating speed greater than 10Gb/s in submicron process of high operating frequency.

• Journal of the Korean Institute of Intelligent Systems
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• v.27 no.2
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• pp.126-131
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• 2017

In this paper, we propose a method to extract meaningful motion among various kinds of hand gestures on giving commands to robots using hand gestures. On giving a command to the robot, the hand gestures of people can be divided into a preparation one, a main one, and a finishing one. The main motion is a meaningful one for transmitting a command to the robot in this process, and the other operation is a meaningless auxiliary operation to do the main motion. Therefore, it is necessary to extract only the main motion from the continuous hand gestures. In addition, people can move their hands unconsciously. These actions must also be judged by the robot with meaningless ones. In this study, we extract human skeleton data from a depth image obtained by using a Kinect v2 sensor and extract location data of hands data from them. By using the Kalman filter, we track the location of the hand and distinguish whether hand motion is meaningful or meaningless to recognize the hand gesture by using the hidden markov model.

• Proceedings of the Korean Magnestics Society Conference
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• 1999.04a
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• pp.54-55
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• 1999

• Electric Engineers Magazine
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• s.163
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• pp.58-59
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• 1996

• Proceedings of the Korean Society of Radiological Science
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• 1995.10a
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• pp.142.1-142.1
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• 1995

• 전기의세계
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• v.60 no.7
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• pp.26-30
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• 2011