• Journal of Institute of Control, Robotics and Systems
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• v.14 no.10
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• pp.1005-1013
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• 2008

This paper describes a new sensor system for 3D range measurement using the structured infrared light. Environment and obstacle sensing is the key issue for mobile robot localization and navigation. Laser scanners and infrared scanners cover $180^{\circ}$ and are accurate but too expensive. Those sensors use rotating light beams so that the range measurements are constrained on a plane. 3D measurements are much more useful in many ways for obstacle detection, map building and localization. Stereo vision is very common way of getting the depth information of 3D environment. However, it requires that the correspondence should be clearly identified and it also heavily depends on the light condition of the environment. Instead of using stereo camera, monocular camera and the projected infrared light are used in order to reduce the effects of the ambient light while getting 3D depth map. Modeling of the projected light pattern enabled precise estimation of the range. Identification of the cells from the pattern is the key issue in the proposed method. Several methods of correctly identifying the cells are discussed and verified with experiments.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.4
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• pp.302-306
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• 2001

Because face Images have many variations(expression, illumination, orientation of face, etc), there has been no popular method which has high recognition rate. To solve this difficulty, data fusion that fuses various information has been studied. But previous research for data fusion fused additional biological informationUingerplint, voice, del with face image. In this paper, cooperative results from several face image recognition modules are fused without using additional biological information. To fuse results from individual face image recognition modules, we use re-defined mass function based on Dempster-Shafer s fusion theory.Experimental results from fusing several face recognition modules are presented, to show that proposed fusion model has better performance than single face recognition module without using additional biological information.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.45 no.6
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• pp.16-25
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• 2008

The micro needle means the ultrafine probe of 'Probe Card'. The size of micro needle is so minute that it is difficult to minute that it is difficult to inspect it with eyes. On the other hand it is very critical if there is a defect in micro needle of probe card. In this study, we developed an automatic visual inspection system for finding defect status in probe angle, tip length and diameter. Through the experimental results, we could find that our proposed method is better than human-eyes inspection method in accuracy and inspection speed, and also in robustness to lighting circumstances.

• Journal of the Korean Society for Precision Engineering
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• v.22 no.12 s.177
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• pp.77-86
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• 2005

This paper is about the development of Automatic FPC(flexible printed circuit) punching instrument for the improvement of working condition and cost saving. FPC is used to detect the contact position of keyboard and button like a cellular phone. Depending on the quality of the printed ink and position of reference punching point to the FPC, the resistance and current are varied to the malfunctioning values. The size of reference punching point is 2mm and the above. Because the punching operation is done manually, The punching accuracy is varied with operator's condition. Recently, The punching accuracy has deteriorated severely to the 2mm punching reference hall so that assembly of the K/B has hardly done. To improve this manual punching operation to the FPC, automatic FPC punching system is introduced. Precise mechanical parts like a 5-step stepping motor and ball screw mechanism are designed and tested and low cost PC camera is used fur the sake of cost down instead of using high quality vision systems for the factory automation. Test algorithms and programs showed good results to the designed automatic punching system and led to the increasement of productivity and huge cost down to law material like FPC by avoiding bad quality.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.10a
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• pp.981-984
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• 2004

This paper is about the development of Automatic FPC punching instrument. FPC(flexible printed circuit) is used to detect the contact position of K/B and button like a cellular phone. Depending on the quality of the printed ink and position of reference punching point to the FPC, the resistance and current are varied to the malfunctioning values. The size of reference punching point is 2mm and the above. Because the punching operation is done manually, the accuracy of the punching degree is varied with operator's condition. Recently, The punching accuracy has deteriorated severely to the 2mm punching reference hall so that assembly of the K/B has hardly done. To improve this manual punching operation to the FPC, automatic FPC punching system is introduced. Precise mechanical parts like a 5-step stepping motor and ball screw mechanism are designed and tested and low cost PC camera is used for the sake of cost down instead of using high quality vision systems for the FA. Test algorithm shows good results to the designed automatic punching system.

• Journal of Institute of Control, Robotics and Systems
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• v.7 no.9
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• pp.758-765
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• 2001

This paper proposes a method to automatically extract stable visual landmarks from sensory data. Given a 2D occupancy map, a mobile robot first extracts vertical line features which are distinct and on vertical planar surfaces, because they are expected to be observed reliably from various viewpoints. Since the feature information such as position and length includes uncertainty due to errors of vision and motion, the robot then reduces the uncertainty by matching the planar surface containing the features to the map. As a result, the robot obtains modeled stable visual landmarks from extracted features. This extraction process is performed on-line to adapt to an actual changes of lighting and scene depending on the robot’s view. Experimental results in various real scenes show the validity of the proposed method.

• The KIPS Transactions:PartB
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• v.10B no.4
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• pp.473-478
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• 2003

In this paper, we propose the gesture recognition system using a motion information from extracted hand region in complex background image. First of all, we measure entropy for the difference image between continuous frames. Using a color information that is similar to a skin color in candidate region which has high value, we extract hand region only from background image. On the extracted hand region, we detect a contour using the chain code and recognize hand gesture by applying improved centroidal profile method. In the experimental results for 6 kinds of hand gesture, unlike existing methods, we can stably recognize hand gesture in complex background and illumination changes without marker. Also, it shows the recognition rate with more than 95% for person and 90∼100% for each gesture at 15 frames/second.

• Vending industry
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• v.7 no.3 s.21
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• pp.32-36
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• 2007

자판기 시장 침체에 대한 한숨소리가 끊이지 않고 있다. 자판기 제조에서 유통까지 원활히 수익을 창출하는 선순환 구조가 되지 못하고 판매 침체, 운영 침체의 악순환구조가 가중되고 있다. 이 상황에서 어떻게 자판기 시장을 활성화 시킬 것인가에 대한 고민은 점점 깊어지고 있다. 이 고민의 핵심은 결국 마케팅이다. 어떠한 제품정책과 유통정책을 선택하느냐에 따라 시장 가능성을 달리하기 마려이다. 지금 자판기 분야도 과거의 구태를 탈피하여 새로운 마케팅을 도입하지 않고서는 마땅한 시장 활로를 찾기 힘들다. 이런 측면에서 최근 렌탈 마케팅이 큰 관심을 끌고 있다. 지금같이 방문판매 시장이 고사 직전인 상황에서 렌탈 시장에 관심이 가지 않을 수 없다. 기계판매가 안되는 상황에서 자판기를 확대할 수 있으려면 렌탈 마케팅이 가장 효과적인 방법이 될 수도 있다. OCS시장이 가히 폭발적이라 할 수 있을 정도로 시장 확대를 하게 된 것도 렌탈 마케팅을 도입했기 때문이다. 이제 소형은 물론 대형에 있어서도 이런 렌탈 마케팅을 벤치마킹해야 할 시점에 서 있다. 최근 원두커피자판기 시장에 있어 이런 렌탈 마케팅을 도입한 시장개척이 시도되고 있다. 원두커피 시장의 확대와 더불어 어떻게든 로케이션을 늘리는 게 급선무인 만큼 공격적인 렌탈 마케팅의 필요성이 높아지고 있다. 이번 호에서는 최근 원두커피 렌탈 마케팅을 도입해 사업을 펼치는 내외시스템과 코스벤딩을 주목했다. 이 두 업체의 사업행보를 살펴보고, 렌탈 마케팅 성공을 위한 과제들이 무엇인지를 조명해 봤다.

• 한국방재학회:학술대회논문집
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• 2011.02a
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• pp.83-83
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• 2011

도로의 동상방지층을 설치하기 위하여 동결관입깊이를 산정하며, 동결지수는 대기온도의 강도와 지속시간의 누가영향으로 표시된다. 대기온도는 일평균 대기온도를 사용하며 4개/일 평균(대기온도$_4$)을 사용하는 것이 일반적이지만, 현재 기상청에서 제공하고 있는 일평균 대기온도는 8개/일(대기온도$_8$)를 제공하고 있다. 이러한 일평균 대기온도의 산정하는 방법이 동결지수의 산정결과에 미치는 영향을 확인하기 위하여 한반도 남부지역(동결지수 $350^{\circ}C{\cdot}$일) 미만 6개지역을 저성토부, 절성경계부 및 절토부로 구분하여 15개소에 대하여 현장계측시스템을 구축하였다. 그리고 현장계측 시스템으로부터 얻어진 대기온도를 통하여 동결지수를 산정하여 비교하였다. 동결지수 비교결과 일반적으로 일평균 대기온도$_4$를 사용한 경우가 일평균 대기온도$_8$을 사용하는 경우보다 약 3% 전후 큰 것으로 나타나났으며, 6개 지역의 동결지수를 결정할 때 대기온도$_8$을 사용한 동결지수를 보정할 수 있는 보정식을 제안하였다.

• Convergence Security Journal
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• v.2 no.2
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• pp.99-108
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• 2002

In this paper, I propose a reference image updating algorithm for Intruder Detection System using a difference image method that can reliably separate moving objects from noisy background in the image sequence received from a camera at the fixed position. The proposed algorithm consists of four process determines threshold value and quantization, segmentation of a moving object area, generation of adaptive temporary image that removes a moving object area, and updates reference image using median filtering. The test results show that the proposed algorithm can generate reference image very effectively in the noisy environment.