• Journal of The Korean Association of Information Education
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• v.16 no.1
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• pp.107-121
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• 2012

The purpose of this study is to develop online synchronous discussion tool based on De Bono's six thinking hats and to investigate availability and improvements of the tool. Analysis of previous studies about synchronous online discussion and six thinking hats and development of design strategies from 3C model, communication, coordination, cooperation, were done. Six thinking hats online synchronous discussion tool was developed and applied four times for 5 weeks in the 'fundamentals of computer science' course of college students majored in computer science. Qualitative data from open-ended survey and reflection paper of students, and field note of participant researchers were analyzed. As a result, six thinking hats online synchronous discussion tool facilitated student's interaction and communication in the aspect of communication, coordination, and cooperation of 3C model. However, some improvements are needed to overcome the limits of text-based online communication and to use six thinking hats online synchronous discussion tool as a tool to promote structured interaction and communication.

• Research in Community and Public Health Nursing
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• v.5 no.2
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• pp.227-235
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• 1994

본 프로젝트는 1993년 6월부터 9월까지 태국의 International Community Maternal and Child Health Nursing Training Program에서 이루어진 것으로 17개국 참석자 중 8개국 참가자들이 태국의 권케지역(태국 북동부)중 한 농촌지역을 택해 1개월간의 가정방문과 Group Work을 통해 지역사회 진단후 진단내용을 근거로 사업계획을 시행한 것이다. 조사지역 -Ban Nang Loob Village-은 우리나라의 일차보건의료를 수행하는 가장 말단지역인 이(里)에 해당하며, 이 중 5세 미만의 영유아가 있는 어머니들을 조사대상으로 하였다. 조사가구는 75가구였으며, 자료수집도구는 일반적인 특성, 환경상태, 지역사회 조직, 모자보건에 대한 지식, 태도, 실천과 관련된 내용으로 총 52개 문항이었다. 자료수집은 면접과 관찰을 통해 이루어졌으며 면접은 통역을 위해 태국 권켄대학의 간호대학 교수들과 함께 시행하였다. 본인이 참석한 그룹에서는 모자보건사업 중 모성건강에 관한 조사만 이루어졌으므로 이 지면에 소개된 프로젝트는 모성건강문제에 국한된다. 본 조사에서는 3가지 모성 건강과 관련된 문제가 나타났는데 이를 문제의 정도, 심각성, 예방가능성, 지역사회의 관심정도로 점수화하여 총계를 낸 후, 가장 커다란 문제점으로 '모성의 임신과 산욕기 동안의 합병증에 대한 지식부족'이 제기되어 이를 기초로 Master Plan, Operational Plan, Time Frame, Budget이 제시되었다. 본 프로젝트에서 제시된 사업계획은 담당지역의 Health Center, 권켄 간호대학, 지역사회 주민조직의 협조로 지역주민의 모자보건사업 활성화를 위해 실제로 시행될 계획이다.

• The Research Journal of the Costume Culture
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• v.12 no.3
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• pp.354-368
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• 2004

The purpose of this study is to investigate the effect of Shirts-color(Different-color, Same-color) and Hat color(Red, Blue, Beige, Grey), Hat design (Beret, Cloche, Bowler, and Capeline) on impression formation. The experimental materials developed for this study were a set of stimulus and response scales. The 7-point semantic thirty stimuli color pictures of various combination of hair length, hair style, and type of hat design were manipulated by computer drawing. The subjects were 360 undergraduates living in Seoul, Kyunggi and Kyungnam. The experimental design was composed of 3 factorial designs. The result of the study can be summarized as follows; Impression factor of the stimulus consisted of the 5 different dimensions. (concentration of attention, attractiveness, gracefulness, activity, tenderness). Concentration of attention, elegance, and tenderness in case of a hat as a clue, elegance and tenderness in case of the color of upper clothes as a clue, and all the factors except attractiveness and elegance in case of the type of hat as a clue were significant factors to differences of appearance. In regarding the effect of interaction between each variable, the combination of Hat color and Shirts-color had significant effects on tenderness, Hat color and type of hat design on concentration of attention, elegance and activity.

• Journal of Korean Society for Geospatial Information Science
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• v.17 no.1
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• pp.61-69
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• 2009

By the advent of the high resolution satellite imagery, a ground-coverage included by a single satellite image is decreased. By the reason, there are increasing needs in image mosaicking technology to use images to various GIS fields. This paper describes an edge-based seamline extraction algorithm using edge information such as rivers, roads, buildings for image mosaicking. For this, we developed a method to track and link discontinuous edges extracted by edge detection operator. To estimate the effectiveness of the proposed algorithm, we applied the algorithm to IKONOS, KOMPSAT-1 and SPOT-5 satellite images. The experimental results showed that the algorithm successfully dealts with discontinuities caused by geometric differences in two images.

• The Journal of the Convergence on Culture Technology
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• v.6 no.1
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• pp.105-110
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• 2020

In this study, two hats and a laptop bag were developed and produced as cultural products by using Hanji-fabrics dyed with various natural dyeing materials. First of all, for the cultural product development, I selected Hanji-fabric which made with traditional Korean paper with excellent durability and functionality. Secondly, it was dyed blue with indigo, brown with green persimmon juice, red by safflower, yellow by amur cork and purple by gromwell root. Third, two hats and a laptop bag were designed. Fourth, according to the designs, patterns of two hats and a laptop bag were made. And then two hats and a laptop bag were finished by cutting and sewing Hanji-fabrics dyed in various colors.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.11a
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• pp.338-339
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• 2020

개인 방송의 보편화로 인해 인터넷 혹은 방송으로 유포되는 영상에서 일반인의 얼굴이 빈번히 노출되고 있으며, 동의 받지 않은 얼굴의 방송 노출은 개인 초상권 침해와 같은 사회적 문제를 일으킬 수 있다. 이러한 개인 초상권 침해 문제를 해결하고자 본 논문은 비디오에서 일반인의 얼굴을 검출하고 이에 마스킹을 가하는 방법을 제안한다. 제안 방법은 우선 딥러닝 기반의 Faster R-CNN을 이용하여 모자이킹을 하지 않을 특정인과 모자이킹을 가할 비특정인을 포함한 다수의 얼굴 영상을 학습한다. 학습된 네트워크를 이용하여 입력 비디오에 대해 사람의 얼굴을 검출하고 검출된 결과 중 특정인을 선별해 낸다. 최종적으로 입력 비디오에서 특정인을 제외한 나머지 검출된 얼굴에 대해 모자이킹 처리를 수행함으로써 비디오에서 지능적으로 비특정인의 얼굴을 가린다. 실험결과, 특정인과 비특정인을 포함한 얼굴 검출의 경우 99%의 정확도를 보였으며, 얼굴 검출 결과 중 특정인을 정확히 맞춘 경우는 86%의 정확도를 보였다. 제안 방법은 인터넷 동영상 서비스 및 방송 분야에서 개인 정보 보호를 위해 효과적으로 활용될 수 있을 것으로 기대된다.

• Korean Journal of Health Education and Promotion
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• v.10 no.1
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• pp.98-105
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• 1993

최근 경제수준 향상과 소자녀 가치관의 확립, 그리고 전국민 의료보험 실시 등으로 인하여 모자보건 대상자의 대부분은 민간 의료시설의 전문인력으로부터 서비스를 제공받게 되었고, 모자보건 수준도 급격히 향상, 1992년 시설분만율의 경우, 99%에 도달하였다. 이렇듯 의료시설 이용의 증가와 의료기술의 발전에도 불구하고, 영아사망율 및 모성사망율이 최근 몇년동안 같은 수준에 머무르고 있음은, 보다 질적인 관리측면으로 사업의 방향이 전환되어야 함을 의미하는데 이는 곧 공공성을 띠고 있는 모자보건사업을 국가가 관리하여야 할 필요성을 더욱 크게 한다. 공공부문에서는 취약대상을 위하여 민간 전문인력과의 유기적인 연계체계를 마련하여 계속적인 관리를 제공할 수 있도록 하고, 보건교육 강화를 위한 관련 홍보물(모자보건수첩 활용, 모유수유 권장, 제왕절개수술 지양 등)을 제작하며 신경아세포종 검사 등과 같은 새로운 예방사업 개발에 중점을 두어야 할 것이다. 또한 영유아관리는 저체중아 및 장애아에 대한 추구관리서비스까지 확대되어야 할 것이다. 현 우리나라 주산기구급이송체계는 응급의료체계내에서 이루어지고 있다고 볼 수 있는데 주산기관리를 위한 의료여건이 성숙되어 있지 못하고 있는데다(이 시기의 집중관리를 통하여 사망 및 장애아 예방이 가능) 관련 제도마저 취약하여 민간의료부문에서는 영아사망 및 모성사망을 낮추기 위해서는 이 부문에 대한 노력이 집중되어야 할 것이다. 첫째, 주산기학, 신생아학 전문인력의 훈련제도 확립파 주산기 관리시설의 지역적 적정분배(분만 2,000건에 1개 시설마련), 둘째, 집중적인 인력과 고가장비가 투입되는 주산기 의료활동 강화를 위한 관련 의료제도의 수정 및 보완, 세째, 질적관리가 매우 중시되는 고위험 신생아의 집중관리를 위한 '표준 의료관리지침서' 마련, 네째, 동 시설 및 관리에 준하여 주산기 의료시설에 대한 감독 및 감시기능 강화를 위한 제도적 장치가 마련되어야 할 것이다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.5
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• pp.175-183
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• 2004

In this paper, we propose a new accurate and robust image mosaic technique of the mural underdrawing taken from the infra-red camera, which is based on multiple image registration and adaptive blending technique. The image mosaicing methods which have been developed so far have the following deficits. It is hard to generate a high resolution image when there are regions that do not have features or intensity gradients, and there is a trade-off in overlapping region size in view of registration and blending. We consider these issues as follows. First, in order to mosaic images with neither noticeable features nor intensity gradients, we use a projected supplementary pattern and pseudo color image for features in the image pieces which are registered. Second, we search the overlapping region size with minimum blending error between two adjacent images and then apply blending technique to minimum error overlapping region. Finally, we could find our proposed method is more effective and efficient for image mosaicing than conventional mosaic techniques and also is more adequate for the application of infra-red mural underdrawing mosaicing. Experimental results show the accuracy and robustness of the algorithm

• Journal of the Korean Association of Geographic Information Studies
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• v.11 no.4
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• pp.150-160
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• 2008

The present domestic underwater and ocean facilities management depends on analysis with the naked eye. This study performs quantitative analysis to improve conventional methods, analyze spatial situation of underwater facilities. This research is divided into two steps; underwater image distortion correction and image mosaic step. First, underwater image distortion correction step is for the production of underwater target, calculates the correction parameters, and then developed the method that convert the original image point to whose distortion is corrected. Second step is for the obtaining pipe images installed in the underwater, corrects the distortion, and then transforms a coordinates of the correction pipe image. After coordinate transformation, we make the mosaic image using the singularities. As a result, when we measure the distance between pipe and underwater ground and compare with calculation value on mosaic image, it is showed that RMSE is 0.3cm.

• Korean Journal of Remote Sensing
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• v.13 no.2
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• pp.133-150
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• 1997

The purpose of this paper is to develop an algorithm of classification and interpretation of seafloor based on side scan sonar data. The algorithm consists of mosaicking of sonar data using navigation data, correction and compensation of the acouctic amplitude data considering the charateristics of the side scan sonar system, and segmentation of the seafloor using digital image processing techniques. The correction and compensation process is essential because there is usually difference in acoustic amplitudes from the same distance of the port-side and the starboard-side and the amplitudes become attenuated as the distance is increasing. In this paper, proposed is an algorithm of compensating the side scan sonar data, and its result is compared with the mosaicking result without any compensation. The algorithm considers the amplitude characteristics according to the tow-fish's depth as well as the attenuation trend of the side scan sonar along the beam positions. This paper also proposes an image segmentation algorithm based on the texture, where the criterion is the maximum occurence related with gray level. The preliminary experiment has been carried out with the side scan sonar data and its result is demonstrated.