• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.05a
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• pp.196-196
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• 2004

원자로의 원자로 해체 처리나 테러리스트의 폭탄 제거와 같은 극한 환경에서 작동하는 로봇은 계단이나 구덩이 같은 평평하지 알은 지형을 극복하기 위해서 off-load 능력이 필요하다. 극한 환경에서의 작업은 전형적으로 원격으로 조정되는 로봇을 요구한다. 본 논문에서는 향상된 관절 트랙 구조의 로봇을 제안한다. 로봇이 계단에 접촉할 때론 고려해서 조이스틱으로 햅틱 동작을 위한 센싱 시스템이 제안된다. 추가적으로, 제안된 로봇이 계단을 등반하는 알고리즘을 제안한다.(중략)

• Journal of the Korean Society for Precision Engineering
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• v.10 no.1
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• pp.108-113
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• 1993

This paper proposes a method for obtaining blend surfaces between machining data of surfaces. This blending algorithm consists of trangation, detection, tracing, construction of blend surfaces, and generation of machining data for the blend surfaces. Inpus of the algorithm are a blend radius and machining data of surfaces to be blended. CL data as well as CC data can be applied as an input machining data of the algorithm.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.1B
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• pp.17-26
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• 2005

RFID(Radio Frequency IDentification) is a technology that automatically identifies objects attached with electronic tags by using radio wave. For the implementation of an RFID system, an anti-collision algorithm is required to identify several tags within the RFID reader's range. Few researches report the performance trade-off among anti-collision algorithms in terms of the communications traffic between the reader and tags, the identification speed, and so on. In this paper, we analyze both tree based memoryless algorithms and slot aloha based algorithms that comprise of almost every class of existing anti-collision algorithms. To compare the performance, we evaluated each class of anti-collision algorithms with respect to low-cost RFID system with 96-bit EPC(Electronic Product Code). The results show that the collision tracking tree algorithm outperforms current tree based and aloha based algorithms by at least 2 times to 50 times.

• Korean Journal of Microbiology
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• v.49 no.1
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• pp.51-57
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• 2013

As facilities and equipments for learning activities in college campuses are handled by mass public, their contact surfaces may function as major routes of cross-infection of microbial pathogens. However, unlike items in cafeteria which is the typical target for campus hygiene, those surfaces are not under regular surveillance or sanitary maintenance. In this study, I made a quantitative comparison of the risk of being exposed to microbial pathogens from use of learning facilities such as classrooms and library to the risk from use of cafeteria, for about 1,500 students in a college. Regarding total coliforms as surrogate model of bacterial pathogens, exposure rates were estimated for each item in learning facilities and cafeterias by devising deterministic exposure algorithms based on bacterial abundance, contract rates and transfer rates. The exposure rate in cafeterias was 1.0 CFU/day while learning facilities imposed the rate of 0.5 CFU/day, which reaches a half of the exposure rate in cafeterias. However, 70% of students were exposed more in learning facilities than cafeteria because individuals had different frequencies in using cafeteria. Based on the results, some human-contact surfaces of learning facilities, including elevator buttons, may require regular sanitary maintenance. An efficient sanitary maintenance considering seasonality in diversity of pathogens involved with cross-infections is suggested besides improvement of personal hygiene among students.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.6
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• pp.701-709
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• 2019

Recently, heart rate signal, which is one of biological signals, have been used in various fields related to healthcare. Conventionally, most of the proposed heart rate signal detection methods are contact type methods, but there is a problem of discomfort that the subject have to contact with the device. In order to solve the problem, detection study by non-contact method has been progressed recently. The detected heart rate signal can be used for finger vein liveness detection and various application using heart rate. In this paper, we propose a method to obtain heart rate signal by using finger vein imaging system. The proposed method detected the signal from the changes of the brightness value in the time domain of the infrared finger vein images and converted it into the frequency domain using the image processing algorithm. After the conversion, we removed the noise not related to the heart rate signal through band-pass filtering. In order to evaluate the accuracy of the signal, we analyzed the correlation with the signal obtained simultaneously with the finger vein acquisition device and contact type PPG sensor approved by KFDA. As a result, it was possible to confirm that the heart rate signal detected in non-contact method through the finger vein image coincides with the waveform of actual heart rate signal.

• Journal of the Korea Society of Computer and Information
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• v.9 no.1
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• pp.71-77
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• 2004

In general, security server controls information of people who usually come to building. In order to exit and entrance, while they bring Identification card into contact with card reader, server admits them into building after asks whether their informations are or not in database. However if many People want to exit and entrance in all direction. it may give rise to a serious traffic congestion. Therefore the delay is due to server's overload. In this paper, we suggested IZA(Identification Zone Algorithm) in order to prevent of traffic congestion.

• Review of KIISC
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• v.12 no.2
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• pp.18-24
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• 2002

얼굴인식 기술은 접촉에 대한 거부감이나 불편함이 없이 친숙하고 편리하게 사용자를 식별하고 인식할 수 있으며, 부가적인 센서 장비가 필요없다는 측면에서 개인 인증 및 보안 시스템으로서의 활용성이 매우 높다. 본 고에서는 여러 가지 장점들을 지닌 얼굴 인식 시스템의 구현 사례를 실시간 얼굴 검출 기술과 특징 추출 기술, 인식 기술로 구분하여 소개한다. 개발된 시스템은 얼굴 검출을 위해서 색상과 에지 성분을 이용하는 복합 알고리즘을 적용하여 실시간 얼굴 탐지를 가능하게 하였고, 추출된 사용자의 고유 얼굴 정보는 최신 인식 기법의 하나인 Support Vector Machine으로 분류, 인식된다. 또한 시스템의 성능을 테스트하고, 실용화 가능성을 모색하기 위하여 하드웨어 임베디드 시스템의 설계 및 구현 과정에 대하여 소개한다. 조명 및 환경 변화에 따른 시스템의 성능 변화를 객관적으로 검증하기 위하여 다양한 변화 조건을 고려한 한국인 표준 얼굴 데이터베이스를 구축하였고, 이 데이터베이스를 기반으로 체계적인 시스템의 성능 테스트를 수행하였다.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.20 no.6
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• pp.692-696
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• 2011

A clutch is a very important component when engine starts and gear shifting is needed. The clutch the most commonly used is the dry clutch. This type of clutch has pads, and they are worn after disengagement of clutch little by little. The characteristics of the clutch changes as these pads wear, so wear needs to be measured, and the clutch should be controlled for proper operation. In this study, the clutch contact point estimation algorithm has been developed. From this algorithm, clutch force map changes depending on wear, and the clutch operates properly. We also see the shifting transient of a vehicle for drivability with throttle valve position control and synchronizer movement.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2001.10a
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• pp.592-595
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• 2001

원거리에서 무접촉 거리 계측(ranging)은 군용 장비나 건설, 항해, 자동화 등에 매우 중요하다. 계측방식은 active와 passive 방식으로 구분되는데, active방식은 laser나 microwave, 초음파 등의 time of flight를 이용하거나 레이저 조사(illumination)에 대한 카메라 영상을 해석하는 등의 다양한 방식이 있으나 장치가 복잡하고, passive 방식은 stereo camera의 양안 영상을 이용하거나 focus 특성을 이용하는 방식 등이 있으나 대부분 연산 시간이 많이 요구된다. 본 연구에서는 수동식 스테레오 카메라에서 양안시차를 추출하여 triangulation으로 목표점(target point)의 거리를 측정하는 것을 기본 방식으로 하여, 기존 거리 산출 방식에서 연산 시간이 많이 소요되는 연산 과정을 효율적이고 고속으로 수행할 수 있도록 새로운 방식을 제안하였다. 즉, 목표점에서의 양안 edge 영상을 구하며, 이 영상의 accumulation profile을 correlation하여, 거리 연산의 핵심 요소인 양안 시차를 고속으로 추출하는 알고리즘을 제안하였다. 또한, 제안 방식의 효율성을 실험 결과를 통하여 보였다.

• Transactions of the Korean Society of Mechanical Engineers
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• v.16 no.8
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• pp.1530-1535
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• 1992

An optical method of phase shifting interferometry is presented for the 3-dimensional profile measurement of mirror surfaces with nanometer resolution. A series of optical interferometric fringes are generated by comparing the surface to be measured with a reference flat. The fringes are captured by a CCD camera and then analyzed to obtain actual surface profile. Detailed principles are described along with necessary image processing algorithms. finally, several measurement examples are discussed which were performed on lapped surfaces, hard discs, and semiconductor wafers.