• Journal of the Institute of Electronics Engineers of Korea CI
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• v.41 no.1
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• pp.19-26
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• 2004

In this paper, we suggest a 3D vision inspection method which use only one camera. If we have the database of pattern and can recognize the object, and also estimate the rotated shape of the parts, we can inspect the parts using only one image. We used the 3D database and the 2D geometrical pattern matching, and the rotation transition theory about the algorithm. As the results, we could have the capability of the recognition and inspection of the rotated object through the estimation of rotation an81e. We applied our suggested algorithm to the inspection of typical IC and capacitor, and compared our suggested algorithm with the conventional 2D inspection method and the feature space trajectory method.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.41 no.10
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• pp.949-957
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• 2017

A laser-vision-based height measurement system is developed and implemented for the inspection of two-step variable valve lift module assemblies. The proposed laser-vision sensor module is designed based on the principle of laser triangulation. This paper summarizes the work on 3D point cloud data collection and height difference measurements. The configuration of the measurement system and the proposed height measurement algorithm are described and analyzed in detail. Additional measurement experiments on the height differences of valves and lash adjusters of a two-step variable valve lift module were implemented repeatedly to evaluate the accuracy and repeatability of the proposed measurement system. Experimental results show that the proposed laser-vision-based height measurement system achieves high accuracy, repeatability, and stabilization for the inspection of two-step variable valve lift module assemblies.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.47 no.3
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• pp.255-263
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• 2021

Soybean extract is known to play an important role in preventing and treating diseases associated with aging, cancer, obesity, and cardiovascular disease. A recent has revealed that soybean extract has a potent effect on hair growth in in vitro, in vivo, and clinical studies. Recently, it has been reported that their fermented extracts exhibit numerous and high efficacy, as compared to general extracts. However, the underlying mechanisms that induce hair growth after using fermented soybean extract are not well understood. The present study aimed to determine the effects of fermented Jeju soybean (FJS) extract on hair growth, with a focus on the underlying mechanisms similar to those of minoxidil. We conducted in vitro and ex vivo investigations and clinical studies. FJS extract enhanced dermal papilla cell proliferation, VEGF levels, and potassium channel opening. Moreover, it promoted human hair follicle elongation. These effects were comprehensively demonstrated in the clinical results, in which FJS extract-containing shampoo improved hair density after 24 weeks of utilization. Collectively, the results of this study demonstrate that FJS extract promotes hair growth and inhibits hair loss through a mechanism similar to that of minoxidil in hair follicles.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1997.10a
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• pp.500-503
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• 1997

In this paper, a method for recognizing 3-D objects using the 3-D Hough transform and the robust stereo vision is studied. A 3-D object is recognized through two steps; modeling step and matching step. In modeling step, features of the object are extracted by analyzing the IGES file. In matching step, the values of the sensed image are compared with those of the IGES file which is assumed to location and orientation in the 3-D Hough transform domain. Since we use the 3-D Hough transform domain of the input image directly, the sensitivity to the noise and the high computational complexity could be significantly allcv~ated. Also, the cost efficiency is improved using the robust stereo vision for obtaining depth map image which is needed for 3-D Hough transform. In order lo verify the proposed method, real telephone model is recognized. Thc results of the location and orientation of the model are presented.

• Explosives and Blasting
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• v.21 no.3
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• pp.73-80
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• 2003

암반발파에 사용하고 있는 전기식 뇌관과 비전기식 연결뇌관 및 번치 커넥터(Bunch connector), 점화구, 에멀젼류 폭약이 지상에서 기폭 될 때 발생하는 소음을 비교 분석하였다. 에멀젼류 폭약의 폭발소음과 화공품의 기폭소음에 대한 추정식을 도출하였다. 에멀젼류 폭약의 폭발 소음 예측은 반대수 자승근 환산식, 번치 커넥터, 전기식 뇌관 및 비전기식 연결뇌관 및 점화구는 전대수식이 적합한 것으로 판단된다. 소음원으로부터 동일한 거리에서의 소음은 점화구, 비전기식 연결뇌관, 전기식 뇌관 및 번치 커넥터 순으로 높았다. 소음원으로부터 약20∼30m거리의 범위에서 번치 커넥터의 기폭소음은 에멀젼류 폭약 0.250kg의 폭발소음보다 약15.6∼20.2dB(A) 낮고, 비전기식 연결뇌관 보다 약13.5∼16.0dB(A) 높고, 전기식 뇌관 보다는 약6.5∼7.5dB(A) 높게 됨을 알 수 있었다. 점화구는 약20m 거리에서 약 7dB(A)이하 이었다. 에멀젼류 폭약의 폭발과 번치 커넥터의 기폭소음에 미치는 주(主)소음원은 에멀젼류 폭약의 약량과 번치 커넥터의 도폭선임을 확인하였다.

• Journal of Korea Multimedia Society
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• v.15 no.6
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• pp.711-721
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• 2012

The objective of this study is to propose an efficient 3D reconstruction method for developing a stereo-vision-based haptics system which can replace "robotic eyes" and "robotic touch." The haptic rendering for 3D images requires to capture depth information and edge information of stereo images. This paper proposes the 3D reconstruction methods using LoG(Laplacian of Gaussian) algorithm and DoG(Difference of Gaussian) algorithm for edge detection in addition to the basic 3D depth extraction method for better haptic rendering. Also, some experiments are performed for evaluating the CPU time and the error rates of those methods. The experimental results lead us to conclude that the DoG method is more efficient for haptic rendering. This paper may contribute to investigate the effective methods for 3D image reconstruction such as in improving the performance of mobile patrol robots.

• Journal of the Institute of Convergence Signal Processing
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• v.22 no.1
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• pp.30-37
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• 2021

Accurate 3D object tracking with camera images is a key enabling technology for augmented reality applications. Motivated by the impressive success of convolutional neural networks (CNNs) in computer vision tasks such as image classification, object detection, image segmentation, recent studies for 3D object tracking have focused on leveraging deep learning. In this paper, we review deep learning approaches for 3D object tracking. We describe key methods in this field and discuss potential future research directions.

• Proceedings of the SAREK Conference
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• 2006.11a
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• pp.109-109
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• 2006

• Digital Contents
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• no.7 s.146
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• pp.20-21
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• 2005

“R&D 인력은 LG의 희망입니다.”구본문 LG그룹 회장이 공개석상에서 자주 하는 말이다. R&D를 성장동력의 1순위로 삼는 LG의 정신이 그대로 묻어나오는 대목이다. 이에 가정용 에어컨, 광스토리지, DVD플레이어, 일반형 청소기 등 전자제품 시장에서 세계 1위에 올라선 LG전자의 저력 역시 산하 연구소의 R&D 인력들이 일궈낸 기술력에서 비롯된 것으로 평가되고 있다. LG전자는 2010년까지 글로벌 톱3으로 올라선다는 중장기 비전을 내세웠다. 이러한 비전도 R&D에 대한 자신감의 발로로 해석된다. 이에 LG전자의 가전제품에서 최근 디지털미디어기기까지LG전자의주력제품을연구해온디지털미디어연구소를찾았다.

• New & Renewable Energy
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• v.3 no.3
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• pp.20-27
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• 2007

태양광 분야에서 일본은 기술 및 보급에 성공한 대표적인 사례로서 거론된다. 태양광의 에너지자원화를 목표로 30여 년간 지속적으로 국가차원의 기술개발 및 보급을 정책 사업화하여 진행시켰고 성공적인 선행 단계를 밟아 왔다. 현재까지의 성공을 기반으로 [태양광 비전 2030]을 수립하여 실현가능한 장기 목표를 구체화하는 단계에 있다. 이에 일본 태양광 산업 및 기술개발 방향에 대한 분석을 통해 오늘 우리에게 주는 시사점을 도출하여 차세대 성장 동력 산업이 될 국내 태양광분야의 발전을 위한 지표로 삼고자 한다.