• Journal of the Korea institute for structural maintenance and inspection
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• v.17 no.5
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• pp.113-121
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• 2013

The road icing forecast and snow detection system using state evaluation algorithm of multi sensor optimizes snow melting system to control spread time and amount of chemical spread application This system operates integrated of contact/non-contact sensor and infrared camera. The state evaluation algorithm of the system evaluates road freezing danger condition and snowfall condition (snowfall intensity also) using acquired data such as temperature/humidity, moisture detection and result of image signal processing from field video footage. In the field experiment, it proved excellent and reliable evaluated result of snowfall state detection rate of 89% and wet state detection rate of 94%.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.48 no.1
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• pp.149-156
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• 2011

The purpose of this paper is the brief introduction of touchless fingerprint recognition and the assessment of interoperability between touchless and legacy rolled fingerprints for the wide use of touchless fingerprint recognition system. In order to assess the interoperability, the contrast and resolution of the touchless images are optimized firstly. And we perform the matching by using conventional minutiae-based matcher. Experimental results are promising that our touchless fingerprints have enough matching performance with equal error rate 7.9%. We can expect that our paper will make a significant contribution to the wide use of touchless fingerprint recognition and the increment of interoperability in the system integration between touchless-based and touch-based fingerprint systems.

• Journal of Convergence for Information Technology
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• v.12 no.1
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• pp.39-44
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• 2022

The purpose of this study is to extract the type, location, and absolute size of an object in an image using a deep learning algorithm, predict the relative distance between objects, and use this to detect contact between objects. To analyze the size ratio of objects, YOLO, a CNN-based object detection algorithm, is used. Through the YOLO algorithm, the absolute size and position of an object are extracted in the form of coordinates. The extraction result extracts the ratio between the size in the image and the actual size from the standard object-size list having the same object name and size stored in advance, and predicts the relative distance between the camera and the object in the image. Based on the predicted value, it detects whether the objects are in contact.

• Transactions of the Korean Society of Mechanical Engineers
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• v.16 no.12
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• pp.2315-2327
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• 1992

A robot assembly method which uses configuration and force/torque information of tactile sensor system and performs chamferless peg-in-hole tasks is suggested and experimentally studied. When the robot gripes the peg with random orientation, the realignment of the peg to the hole center line is successfully performed with the gripping configuration information of the tactile sensor and the inverse kinematics of the robot. The force/torque information of the tactile sensor makes it possible to control the contacting force between mating parts during hole search stage. The suggested algorithm employs a hybrid position/force control and the experiments show that the algorithm accomplishes well peg-in-hole tasks with permissible small contacting force. The chamferless peg-in-hole tasks with smaller clearance than the robot repeatibility can be excuted without any loss or deformation of mating parts. This study the possibility of precise and chamferless parts mating by robot and tactile sensor system.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.22 no.6
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• pp.148-155
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• 2008

This study presents a process control of the wafer edge exposure (WEE) used in 300[mm] wafer environment. WEE, as a key module of the overall track system (coater and developer) for making patterns on wafer, is a system to expose the UV-ray on the wafer to remove a photo resist around edge of the wafer. It can measure, memorize and control the distance and angles from wafer center to edge. Recently in the 300[mm] semiconductor fabrication, the track system strongly requires that WEE station has a controller with high throughput and accuracy to increase process efficiency. We have designed and developed the controller, and present here a WEE control algorithm and experimental results.

• Transactions of the Korean Society of Automotive Engineers
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• v.18 no.3
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• pp.43-52
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• 2010

In this study, the shapes of the wheel and rail are represented by using 3-dimensional surface functions with surface parameters and a 3-dimensional wheel-rail contact analysis is presented. A whole numerical solution of wheel-rail contact at tread and flange including 2-point contacts can be achieved with the proposed numerical algorithm. Kinematic characteristics such as variances of vertical displacement and roll angle, and variance of wheel radius difference for arbitrary yaw and lateral displacement of wheelset, are determined for the KTX wheel-rail pair as an example. The condition of yaw and lateral displacement occurring 2-point contacts to analyze derailment are compared between standard and worn wheels. Differences of contact characteristics between curved and straight rails are also analyzed.

• Proceedings of the KIEE Conference
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• 2009.04a
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• pp.198-199
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• 2009

산업이 발달함에 따라 전기는 우리 일상 생활에 있어 없어서는 안 될 중요한 요소이나 그 사용에 따른 화재 위험성 또한 날로 증가하는 추세이다. 특히 전기 화재의 경우 전기용품 사용에 있어 그 사고를 미리 감지하기 어려워 사고 위험성에 대하여 무방비 상태가 된다. 특히 우리나라의 경우 전체 화재 건수 중 전기 화재가 차지하는 비율은 30%이상으로 일본, 미국 등 선진국에 비해 높아 화재 원으로서 전기 화재 예방에 대한 그 중요성 대두된다 본 논문에서는 전기화재 발화 원인 중 단자대 접촉부 접촉 불량으로 야기된 과열에 의한 화재를 예방하기 위하여 접촉부 접촉 저항을 검출 하는 시스템에 대하여 알고리즘 개발 및 설계 하였다.

• The Journal of Korea Robotics Society
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• v.3 no.2
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• pp.146-153
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• 2008

본 논문에서는 인간 운동 제어 이론과 기계학습을 기반으로 하여 로봇의 접촉 작업 수행을 위한 새로운 운동 학습 전략을 제시하였다. 성공적인 접촉 작업 수행을 위한 본 연구의 전략은 강화학습 기법을 통하여 최적의 작업 수행을 위한 임피던스 매개 변수를 찾는 것이다. 본 연구에서는 최적의 임피던스 매개 변수를 결정하기 위하여 Recursive Least-Square (RLS) 필터 기반 episodic Natural Actor-Critic 알고리즘이 적용되었다. 본 논문에서는 제안한 전략의 효용성을 증명하기 위해 동역학 시뮬레이션을 수행하였고, 그 결과를 통하여 접촉작업에서의 작업 최적화 및 환경이 가지는 불확실성에 대한 적응성을 보여 주었다.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.2086-2087
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• 2007

산업이 발달함에 따라 전기는 우리 일상 생활에 있어 없어서는 않 될 중요한 요소이나 그 사용에 따른 화재 위험성 또한 날로 증가하는 추세이다. 특히 전기 화재의 경우 전기는 시각적인 흐름을 볼 수가 없어 전기용품 사용에 있어 그 사고를 미리 감지하기 어려워 사고 위험성에 대하여 무방비 상태가 된다. 특히 우리나라의 경우 전체 화재 건수 중 전기 화재가 차지하는 비율은 30%이상으로 일본, 미국등 선진국에 비해 높아 화재원으로서 전기 화재예방에 대한 그 중요성 대두된다. 본 논문에서는 전기화재 발화 원인 중 단자대 접촉부 접촉 불량으로 야기된 과열에 의한 화재를 예방하기 위하여 접촉부 접촉 저항을 검출 하는 시스템에 대하여 알고리즘 개발 및 설계 하였다.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.6
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• pp.957-966
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• 2018

Recently, the demand for remote patient monitoring based on IoT has been increased due to aging population and an increase in single-person household. A non-contact biological signal measurement system using multiple IR-UWB radars for remote patient monitoring is proposed in this paper. To reduce error signals, a multilayer Subtraction algorithm is applied because when the background subtraction algorithm was applied to the biological signal processing, errors occurred such as voltage noise and staircase phenomenon. Therefore, a multilayer background subtraction algorithm is applied to reduce error occurrence. The multilayer background subtraction algorithm extracts the signal by calculating the amount of change between the previous clutter and the current clutter. In this study, the SVD algorithm is used. We applied the improved multilayer background subtraction algorithm to biological signal measurement and computed the respiration rate through Fast Fourier Transform (FFT). To verify the proposed system using IR-UWB radars and multilayer background subtraction algorithm, the respiration rate was measured. The validity of this study was verified by obtaining a precision of 97.36% as a result of a control experiment with Neulog's attachment type breathing apparatus. The implemented algorithm improves the inconvenience of the existing contact wearable method.