• Journal of Engineering Education Research
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• v.11 no.2
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• pp.5-14
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• 2008

This paper investigates conditions, issues, and themes in the social responsibility of scientists and engineers by the examination of various materials in science and technology studies(STS). Firstly, the institutionalization of science and technology in society works as a objective conditions for the responsibility of scientists and engineers. Secondly, discussion on scientists and engineers as professionals should be complemented by focusing on the public character of science and technology. Thirdly, various social relevant groups should be comprehensively considered in the ethical conflicts of scientists and engineers. Finally, this paper suggests some themes in science and engineering ethics to strengthen the social responsibility of scientists and engineers.

• Journal of Science and Technology Studies
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• v.6 no.2 s.12
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• pp.185-205
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• 2006

This article analyzes statistical indicators on the infrastructure of S&T culture in Korea. In the case of visible infrastructure, science museums, S&T programs in TV, and S&T books are not sufficiently secured except for internet. The utilization of visible infrastructure tends to be increased but in rudimentary stage. In relation to invisible infrastructure, public interest and understanding of &T is underdeveloped, social status of S&T personnel is low compared to social importance, and participation in S&T policy of S&T personnel and citizens organization is limited. For the development of statistical indicators in S&T culture, personal, institutional, and social contexts should be much considered, surveys on the particular social groups are systematically pursued, and a white paper on the S&T culture in Korea needs to be published.

• Journal of KIISE
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• v.41 no.11
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• pp.921-926
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• 2014

Face detection refers to the process extracting facial regions in an input image, which can improve speed and accuracy of recognition or authorization system, and has diverse applicability. Since conventional works have tried to detect faces based on the whole shape of faces, its detection performance can be degraded by occlusion made with accessories or parts of body. In this paper we propose a method combining local feature descriptors and probability modeling in order to detect partially occluded face effectively. In training stage, we represent an image as a set of local feature descriptors and estimate a statistical model for normal faces. When the test image is given, we find a region that is most similar to face using our face model constructed in training stage. According to experimental results with benchmark data set, we confirmed the effect of proposed method on detecting partially occluded face.

• Journal of KIISE
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• v.42 no.6
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• pp.699-706
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• 2015

In recent years, as near-duplicate image has been increasing explosively by the spread of Internet and image-editing technology that allows easy access to image contents, related research has been done briskly. However, BoF (Bag-of-Feature), the most frequently used method for near-duplicate image detection, can cause problems that distinguish the same features from different features or the different features from same features in the quantization process of approximating a high-level local features to low-level. Therefore, a post-verification method for BoF is required to overcome the limitation of vector quantization. In this paper, we proposed and analyzed the performance of a post-verification method for BoF, which converts SIFT (Scale Invariant Feature Transform) descriptors into 128 bits binary codes and compares binary distance regarding of a short ranked list by BoF using the codes. Through an experiment using 1500 original images, it was shown that the near-duplicate detection accuracy was improved by approximately 4% over the previous BoF method.

• Journal of KIISE
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• v.42 no.2
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• pp.203-212
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• 2015

This paper proposes a traffic sign recognition method in real road environments. The video stream in driving environments has two different characteristics compared to a general object video stream. First, the number of traffic sign types is limited and their shapes are mostly simple. Second, the camera cannot take clear pictures in the road scenes since there are many illumination changes and weather conditions are continuously changing. In this paper, we improve a modified census transform(MCT) to extract features effectively from the road scenes that have many illumination changes. The extracted features are collected by histograms and are transformed by the dense descriptors into very high dimensional vectors. Then, the high dimensional descriptors are encoded into a low dimensional feature vector by Fisher-vector coding and Gaussian Mixture Model. The proposed method shows illumination invariant detection and recognition, and the performance is sufficient to detect and recognize traffic signs in real-time with high accuracy.

• Journal of KIISE
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• v.44 no.7
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• pp.692-702
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• 2017

Face detection using the LBP based feature descriptor has issues in that it can not represent spatial information between facial shape and facial components such as eyes, nose and mouth. To address these issues, in previous research, a facial image was divided into a number of square sub-regions. However, since the sub-regions are divided into different numbers and sizes, the division criteria of the sub-region suitable for the database used in the experiment is ambiguous, the dimension of the LBP histogram increases in proportion to the number of sub-regions and as the number of sub-regions increases, the sensitivity to facial orientation rotation increases significantly. In this paper, we present a novel facial region segmentation method that can solve in-plane rotation issues associated with LBP based feature descriptors and the number of dimensions of feature descriptors. As a result, the proposed method showed detection accuracy of 99.0278% from a single facial image rotated in orientation.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.9
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• pp.889-897
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• 2010

Recently, a cutting-edge large-scale image database system has demanded these attributes: search with alarming speed, performs with high accuracy, archives efficiently and much more. An image identifier (descriptor) is for measuring the similarity of two images which plays an important role in this system. The extraction method of an image identifier can be roughly classified into two methods: a local and global method. In this paper, the proposed image identifier, LFH(Local Feature's Histogram), is obtained by a histogram of robust and distinctive local descriptors (features) constrained by a district sub-division of a local region. Furthermore, LFH has not only the properties of a local and global descriptor, but also can perform calculations at a magnificent clip to determine distance with pinpoint accuracy. Additionally, we suggested a way to extract LFH via GPU (OpenGL and GLSL). In this experiment, we have compared the LFH with SIFT (local method) and EHD (global method) via storage capacity, extraction and retrieval time along with accuracy.

• 제어로봇시스템학회:학술대회논문집
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• 1986.10a
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• pp.514-517
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• 1986

계속적인 경제개발 정책으로 인한 전반적인 국민생활수준의 향상은 기술자의 노동임금을 상승시키고, 고급기술자의 부족을 초래하게 되었다. 또한 자국의 원자재를 보호하려는 세계적인 움직임은 원자재의 값을 상승시켜서, 생산가공 공정에서 원자재를 절약 하여야만 하게 되었다. 위와 같은 경제적, 사회적 제인자는 생산공정의 자동화를 요구하게 되었다. 자동화가 실현되면, 위에 열거한 제문제들의 해결은 물론, 제품의 품질의 고급화및 균일화, 제품의 재고를 줄일수 있고, 또한 작업자의 안전도 증가시킬 수 있다. 위와 같은 제 이유로 인하여 자동화의 개념은 대기업은 물론 중소기업에서도 제품의 경쟁적 강화를 위하여 폭넓게 이용되고 있다. 이러한 시대적 요청에 부응하고, 많은 기계공학교육 담당자들에 의하여 제의되어 온 기계공학교육 방법의 개선의 일환으로서, 본 고에서는 한국과학기술대학에서 1986년도 1학기 부터 개설되어 온 '자동화 기초' 교과목에 대하여 소개하고자 한다.

• Journal of radiological science and technology
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• v.27 no.1
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• pp.13-16
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• 2004

대장내시경검사는 역사적으로 돌아보면 원래 히포크라테스의 치루치료과정에서 직장경 사용으로부터 유래되며 그 후 Kelly의 25 cm 표준 S상 결장경의 발견으로 진전되었고 조명 및 각종 부속기구들이 많이 개선되면서 직장암의 발견에 기여해 왔다. 1911년에 독일 뮌헨의 Michael Hoffman이라는 광학 기술자가 프리즘을 여러 개를 연결하면 직선이 아닌 곡선에서도 빛을 그대로 전달할 수 있다는 사실을 발견하였고 이를 기초로 하여 1958년에 미국에서 Hirschowitz가 처음으로 섬유경(fiberscope)을 선보였고 그 이후 이용한 상부소화관에 대한 내시경 기술이 급속히 발전하기 시작하였고, 이를 기초로 1969년부터 ACMI, Olympus, Fujinon, Pentax 등 세계 유수의 내시경 회사들이 대장내시경을 제작하기 시작하였다. 1983년에 미국의 Welch-Allyn사가 CCD(Charge Coupled Device)라는 집광 장치를 만들어서 마치 내시경의 눈과 같은 작용을 해서 이것을 내시경 선단에 장치하고 전파를 이용하여 영상을 전달하여 이 상이 TV 모니터에 비치는 것을 보게 되는 전자내시경을 개발하여 현재는 상부내시경 뿐 아니라 대장내시경도 대부분이 전자 내시경으로 대체되어서 오늘에 이르고 있다.

• 전기의세계
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• v.39 no.4
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• pp.10-18
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• 1990

우리나라 전기전자공학과는 완전히 분리되어 있고 그 외에도 제어계측공학과, 전산기공학과, 전자통신공학과 등으로 분리되어 있으나 선진국에서는 하나의 학과로 되어 있다. 그리고 우리나라의 교과과정은 졸업에 필요한 과목수가 지나치게 많아서 한과목을 깊게 공부하는대산 여러과목을 훑어보는 식으로 운용되어 왔다. 전공과목수가 9개(실제로는 미분방정식과 졸업논문을 제외하면 7개) 밖에 안된다고 해서 M.I.T.의 전기전자공학 교육이 우리나라보다 못하다고 말 할 수는 없다. MIT의 교과과정이 오늘과 같이 된데에는 오랜 연구와 경험이 필요하였다. 즉 기술 과목만을 많이 가르쳐서 졸업시키면 졸업생의 대부분이 인문사회 출신 사장 아래에서 기술자 역할밖에 못한다는 것을 알았던 것이다. 2차 대전 당시 레이다를 포함한 각종 신형전자장비를 개발한 것은 공대출신보다는 물리학과 수학과 출신의 역할이 컸던 것이다. 특히, SPUTNIK이 1957년에 발사된 이후 미국의 공대들은 과학과목에 큰 비중을 두게 되었던 것이다. 최근에는 그 반작용으로 설계과목에 비중을 두기 시작하였다. 졸업후 2-3년 지나면 별로 쓸모없는 과목들을 많이 가르치는 것보다는 기초적인 과목만을 충실하게 가르치는 것이 훨씬 좋다고 본다.