• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.405-405
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• 2000

We designed the artificial olfactory sensing system (Electronic Nose) using MOS type sensor array fur recognizing and analyzing odour. The response of individual sensors of sensor array, each processing a slightly different response towards the sample volatiles, can provide enough information to discriminate between sample odours. In this paper, we applied clustering algorithm for dimension reduction, such as linear projection mapping (PCA method), nonlinear mapping (Sammon mapping method) and the combination of PCA and Sammon mapping having a better discriminating ability. The odours used are VOC (Volatile chemical compound) and Toxic gases.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.214-214
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• 2000

This paper deals with the non contact optical sensor to measure the shape of transparent plates such as glass panel of LCD(Liquid Crystal Display). The conventional methods to obtain the shape or thickness of a transparent plates are contact type sensor such as LVOT(Linear Variable Differential Transformer). Due to the contact between the tip of the sensor and the surface of objects, the tip is abraded. In addition, the high temperature glass casting makes the size of sensor body changed. These reasons makes the sensor degraded. In this paper, to overcome these problem, we proposed a low cost noncontact optical sensor this is composed of the Hologram laser unit of a CD-Pickup and a plastic lens. To evaluate the performance of the proposed optical sensor, a series of experiments were performed for various measurement condition. Based upon observation of the experimental result, the developed sensor shows good result for measuring the shape of transparent plates.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.302-302
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• 2000

This paper presents the measurement and correction of PCB alignment errors for PCB-manufacturing machines. The conventional PCB-manufacturing machine doesn't have enough accuracy to accommodate the demand for high-resolution circuit pattern and high-density mounting capacity of electronic chips. It is because of alignment errors of PCB loaded to the PCB-manufacturing machine. Therefore, this study focuses on the development of the system which is able to measure and correct alignment errors whit high-accuracy. An automatic optical inspection part measures the PCB alignment error using two cameras, and the high-accuracy 3-axis stage makes correct of these error. The operating system is run in the environment of Window 98 (or NT). Finally we implemented this system to PCB screen printer and PCB exposure system.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.77-77
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• 2000

The shape of small or curved object is usually reconstructed using a single camera by moving its lens position to find a sequence of the focused images. Most conventional methods have used a window with fixed shape to test the focus measure, which resulted in a deterioration of accuracy. To solve this problem, this paper proposes a new approach of using a shape adaptive window. It estimates the shape of the object at every step and applies the same shape of window to calculate the focus measure. Focus measure is based on the variance of the pixels inside the window. This paper includes the experimental results.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.339-339
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• 2000

In this parer, a method of measuring the size of defects on the wall and restructing the defect image of 3-dimension is developed based on the tracking algorithm of a camera position which uses the inclination angle of line slit beam for overcoming the difficulty of the corresponding problem identifying the image point in the both image. In the experiments, an algorithm for estimating the horizontal angle of CCD camera is presented and validated by applying it to the measurement of area and length under the variations of both the distance and the angle of CCD camera. And its performance is compared to that of the rotating and mapping method of image which has the Euclidian distance.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.212-212
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• 2000

This study was performed to construct a hot strip speed measuring system and check over whether the measured speed can be used for improving the mass flow of the head-end part of a hot strip in the 7-stand finishing mill. Because the mass flow in hot rolling mill affects the looper operation and the thickness and width control of a strip, accurate measurement of strip speed ie important. The measured speed was compared with the roll speeds of No. 6 and No.7 stand to check the performance of the system and analyzed to find how to apply the speed. As a result, it is shown that the accuracy of the system is enough, strip thickness error can be reduced by -275∼+200$\mu\textrm{m}$ using the measured speed and the existing FSU model has low accuracy for predicting forward slip rate. A neural network was developed to calculate forward slip rate instead of FSU model. The test result of the neural network shows that the neural network is more accurate than the FSU model.

• Journal of Institute of Control, Robotics and Systems
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• 제4권1호
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• pp.56-61
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• 1998

The velocity measurement error in the velocity-aided SDINS on the maneuvering vehicle is unavoidable and degrades the performance of the SDINS. The characteristics of the velocity measurement error can be modeled as a random bias. This paper proposes a new method for estimating the velocity measurement error in the SDINS. The generalized likelihood ratio test is used for detecting the error and a modified separate-bias Kalman filter in the feedback configuration is suggested for estimating the magnitude of the velocity measurement error.

• Proceedings of the Korean Information Science Society Conference
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• 한국정보과학회 2007년도 가을 학술발표논문집 Vol.34 No.2 (D)
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• pp.482-487
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• 2007

유비쿼터스 컴퓨팅 애플리케이션은 빈번히 위치 정보를 이용하기 때문에 모바일 노드들의 위치를 파악하여 서비스를 제공해 주는 것이 점차 중요하게 인식되고 있다. 여기서 모바일 노드들의 위치 추정은 센서 네트워크에서 노드들에게 좌표를 할당하는 것과 같은 의미이다. 센서 네트워크 환경에서 모바일 노드 위치 추정을 다루는 연구들이 늘어나고 있으나, 현재 제안된 거의 모든 연구들의 위치 추정 실험에서는 엔코더, 자이로, 가속도 센서 등을 이용해서 실제 이동량을 측정해야만 한다. 이 점에 착안하여, 본 연구에서는 어떤 추가적인 센서를 추가하지 않고 실험에서 얻은 모바일 노드의 좌표들을 카메라로 획득한 실제 영상에 맵핑시킴으로써 위치 추정 실험을 검증하기 위한 방법론을 제시하고, 제안한 방법론을 이용하여 크리켓 실내 위치 시스템(Cricket Indoor Location System)의 대표적인 두 가지 구조인 Active and Passive Infrastructure에서 무인 로봇의 위치 추정 실험 결과를 보여준다.

• Proceedings of the Korean Information Science Society Conference
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• 한국정보과학회 2001년도 가을 학술발표논문집 Vol.28 No.2 (2)
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• pp.94-96
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• 2001

현재 인터넷상에서 제공되고 있는 대부분의 서치엔진들은 정보소스에 접근해서 이를 가져오는 웹 로봇(webbot)이라고 불리우는 에이전트를 이용한다. 그런데 이런 웹 로봇들이 웹 문서를 검색하는 방법은 극히 단순하다. 물론 많은 정보를 가지고 오는 것에 초점이 맞추어져 있어서 정확도를 중시하지 않는 것에도 한 원인이 있다. 범용 검색엔진과는 달리 검색하는 영역을 축소하여 특정 주제에 관련된 정보만을 더 정확히 찾아주는 검색엔진의 필요성이 증가하고 있다. 이에 본 논문에서는 강화 학습 방법을 이용하여 웹 상에 존재하는 정보 중에서 특정 주제의 웹 페이지를 보다 더 정확히 찾는 방법을 제시한다. 강화 학습은 웹 상의 하이퍼링크를 따라가는 문제에 있어서 미래에 이로움을 주는 행동의 효용성을 측정하는데 있어서 이점을 보인다. 강화 학습을 이용하여 제시된 방법을 통한 실험에서는 일반적인 방법보다 더 적은 링크를 따라가고도 더 정확한 결과를 보였다.

• Journal of Institute of Control, Robotics and Systems
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• 제20권6호
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• pp.631-634
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• 2014

We propose a measurement state feedback controller for a class of nonlinear systems that have uncertain nonlinearity and sensor noise. The new design method based on the matrix inequality approach solves the measurement feedback control problem of a class of nonlinear systems. As a result, the proposed methods using a matrix inequality approach has the flexibility to apply the controller. In addition, the sensor noise can be attenuated for more generalized systems containing uncertain nonlinearities.