• 한국지리정보학회지
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• 제9권1호
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• pp.46-55
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• 2006

본 연구에서는 항공기로부터 얻어지는 다수의 다중 분광영상을 자동적인 모자이킹 방법을 개발함으로써 수작업을 최대한 줄이는데 목적을 두었다. DuncanTech MS4100 카메라를 이용하여 2436개의 녹색, 적색, 근적외 삼분광 영상이 획득되었다. 카메라 영상과 함께 관측한 LIDAR(LIght Detection And Ranging)자료와 항공기의 위치와 자세를 측정하기위해 GPS/INS(global positioning system/inertial navigation system)자료도 산출되었다. 다수의 다중 분광 영상은 우선 무감독 분류를 적용하여 영상 패턴으로 변환하였다. 인접한 영상의 패턴을 비교하여 각 영상의 상대적인 공간의 위치를 파악하였다. 모든 항공 영상 중에서 80%의 인접한 영상 패턴의 일치율을 파악하고 모자이킹할 수 있었다. 다음으로 GPS/INS자료와 무감독 분류를 혼합한 방법으로 항공 영상을 자동 모자이킹 수행하였다. GPS/INS자료와 영상 포착시점의 불일치로 연속되는 GPS/INS자료 중에 무감독 분류를 이용한 영상 패턴의 일치율을 조사하여 영상포착시점에 일치하는 GPS/INS자료를 선택하였다. 이 혼합방법으로 96%의 영상을 모자이킹했으며, LIDAR자료와의 검정에서 공간적 정도 RMSE는 1.44 m에 불과했다.

• 한국초등과학교육학회지:초등과학교육
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• 제28권1호
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• pp.35-45
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• 2009

We analyzed $3^{rd}$ graders' images of scientists and science learning students. We chose $3^{rd}$ graders because this is the time when children first encounter formal science learning opportunities. Draw-A-Scientist-Test (DAST) and the revised Draw-A-Scientist-Test Checklist (DAST-C) were used to analyze students' images of scientists, whereas Drawing-A-Science-Learner- and a checklist were used to analyze students' images of science learning students. We found that $3^{rd}$ graders showed common features of scientists who wore laboratory coats but not wearing glasses, goggles or masks and smiling. While most boys drew a male scientist, about a half of girls drew female scientists. Old and weird looking images of scientists that were typically known in other literatures were not found in this study. Science learning students were not wearing lab coasts, glasses, goggles, nor masks. Most of those students were conducting chemistry related experiments, which seemed to be influenced by the $3^{rd}$ grade's science curriculum. We also found relationships among components of images of scientists and science learning students. Although $3^{rd}$ graders' images of scientists and science learning students showed common features, this typical image was not the same as the previous studies have reported. This implies that the images of scientists and science learning students have not yet fixed by $3^{rd}$ grade. Thus, this seems to be a critical time when children start developing images of scientists. Children's direct experiences in the science classroom along with environmental factors such as media exposures can influence their formation of images of scientists and science learning students.

• Journal of Korean Neurosurgical Society
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• 제47권3호
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• pp.203-209
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• 2010

Objective : The purpose of study was to evaluate the feasibility of brain magnetic resonance (MR) images of the rat obtained using a 1.5T MR machine in several blood-brain barrier (BBB) experiments. Methods : Male Sprague-Dawley rats were used. MR images were obtained using a clinical 1.5T MR machine. A microcatheter was introduced via the femoral artery to the carotid artery. Normal saline (group 1, n = 4), clotted autologous blood (group 2, n = 4), triolein emulsion (group 3, n = 4), and oleic acid emulsion (group 4, n = 4) were infused into the carotid artery through a microcatheter. Conventional and diffusion-weighted images, the apparent coefficient map, perfusion-weighted images, and contrast-enhanced MR images were obtained. Brain tissue was obtained and triphenyltetrazolium chloride (TTC) staining was performed in group 2. Fluorescein isothiocyanate (FITC)-labeled dextran images and endothelial barrier antigen (EBA) studies were performed in group 4. Results : The MR images in group 1 were of good quality. The MR images in group 2 revealed typical findings of acute cerebral infarction. Perfusion defects were noted on the perfusion-weighted images. The MR images in group 3 showed vasogenic edema and contrast enhancement, representing vascular damage. The rats in group 4 had vasogenic edema on the MR images and leakage of dextran on the FITC-labeled dextran image, representing increased vascular permeability. The immune reaction was decreased on the EBA study. Conclusion : Clinical 1.5T MR images using a rat depicted many informative results in the present study. These results can be used in further researches of the BBB using combined clinical MR machines and immunohistochemical examinations.

• 대한통합의학회지
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• 제8권2호
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• pp.149-157
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• 2020

Purpose : The purpose of this study was that For high school students in Busan, in order to provide basic data in selecting dental hygienists by establishing the correct perception and image of dental hygienists by identifying the image of dentists and career doctors who will choose dental hygienists. Methods : The comparison of group differences with dental hygienists' images was analyzed with independent sample t-test and one-way ANOVA. Correlation between image factors of dental hygienists was analyzed using Pearson's correction coefficient. Results : The image for dental hygienists averaged 3.87 points overall, while the average for each area of the image was 4.09 points for professional images, 4.07 points for business images, 4.08 points for personal images and 3.28 points for social images. When choosing a career path, 18.8 percent said they would not consider dental hygiene, and if they said they would consider dental hygiene, both work, professional, personal and social images were significantly high (p<.05). Professional and professional images (r=.975, p<.05) in the correlation between factors of dental hygienist images, personal and professional images (r=.942, p<.05), social and professional images (r=.865, p<.05), business and personal images (r=.924, p<.05), business image and social image (r=.858, p<.05), personal and social images (r=.882, p<.05) expressed a statistically significant amount of correlation. Conclusion : The study found that high school students' image of dental hygienists was rather positive, but their social image was rather low, and most students did not consider dental hygiene. Therefore, specific measures will be needed to build a desirable image for dental hygienists and positively recognize dental hygienists with active promotion and career experience for dental hygienists in the future.

• 천문학회보
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• 제46권1호
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• pp.60.2-60.2
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• 2021

In this study, we determinate the differential emission measure(DEM) of solar corona using three SDO/AIA EUV channel images and three AI-generated ones. To generate the AI-generated images, we apply a deep learning model based on multi-layer perceptrons by assuming that all pixels in solar EUV images are independent of one another. For the input data, we use three SDO/AIA EUV channels (171, 193, and 211). For the target data, we use other three SDO/AIA EUV channels (94, 131, and 335). We train the model using 358 pairs of SDO/AIA EUV images at every 00:00 UT in 2011. We use SDO/AIA pixels within 1.2 solar radii to consider not only the solar disk but also above the limb. We apply our model to several brightening patches and loops in SDO/AIA images for the determination of DEMs. Our main results from this study are as follows. First, our model successfully generates three solar EUV channel images using the other three channel images. Second, the noises in the AI-generated EUV channel images are greatly reduced compared to the original target ones. Third, the estimated DEMs using three SDO/AIA images and three AI-generated ones are similar to those using three SDO/AIA images and three stacked (50 frames) ones. These results imply that our deep learning model is able to analyze temperature response functions of SDO/AIA channel images, showing a sufficient possibility that AI-generated data can be used for multi-wavelength studies of various scientific fields. SDO: Solar Dynamics Observatory AIA: Atmospheric Imaging Assembly EUV: Extreme Ultra Violet DEM: Diffrential Emission Measure

• 한국식생활문화학회지
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• 제25권6호
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• pp.719-724
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• 2010

The purpose of this study was to survey public preferences for dining space image styles depending on the types of passage rites in Korea and to determine potential differences in public preferences for dining space image styles depending on the types of passage rites in terms of various general characteristics such as gender, age, family type, and preference for the image and color styles of the dining space. As a result, this study determined the following: According to a public preference survey of dining space image styles depending on the type of passage rites, our respondents showed the highest preference for casual images (27.1%) at a party for a 100-day-old baby. Additionally, our respondents showed the highest preference for casual images (27.4%) when celebrating a baby's first birthday but showed the highest preference for romantic images (35.8%) when celebrating a baby girl's first birthday. Our respondents showed the highest preference for casual images (21.4%) for graduation ceremonies. Our respondents showed the highest preference for classic images (21.7%) at coming-of-age ceremonies for new adult men, but also showed highest preference for elegant images (26.2%) at coming-of-age ceremonies for new adult women. Moreover, the respondents showed highest preference for classic images (41.0%) at traditional wedding ceremonies but elegant images (24.1%) at modern wedding ceremonies. In contrast, the respondents showed highest preference for classic images (31.3%) for a 60th birthday party. The highest preference for classic images (28.9%) was found for a diamond wedding ceremony. Respondents showed highest preference for classic images (30.4%) for a funeral ceremony Finally, our respondents showed highest preference for classic images (32.5%) at memorial services (religious ceremonies).

• 대한두경부종양학회지
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• 제26권2호
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• pp.193-197
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• 2010

Objectives : Patients with neck tumor and their family need every information about the disease. Especially, the size and location are confusing with verbal information. With the aid of CT, the problem had some answer, but it needs some medical education. We would like to know the usefullness of 3D reconstructed images in patient education about the disease. Material and Methods : Neck CT data were collected from 10 patients with various neck tumors and converted to 3D reconstructed images. Understanding of the patients about the size and location of tumors were rated from questionaires using axial CT images and 3D images. Results : Understanding score about 3D images were greater than that of CT images(p<0.006). Conclusion : 3D reconstructed images of CT could give the patients more real visual information about the disease.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2009년도 IWAIT
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• pp.699-702
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• 2009

This paper proposes a gender identification using shoeprint images. It is difficult for the proposed method to identify an individual if shoeprint images for identification leaked out. Because the proposed method identifies gender without the faces, the type of dress and the hair types images. Therefore we can use safely the proposed method in public place. In addition, a sensor mat which we developed is reasonable to use mechanical switches arranged in a matrix pattern without pressure switches. We had shoeprint images with the sensor mat. We measure feature parameters from shoeprint images. The feature parameters are length, width and area of shoeprint. Utilizing the feature parameters, we identified gender. In order to verify the gender identification rate of the proposed method, we set up the sensor mat at an entrance of buildings and took shoeprint images of 100 men and 100 women. As a result, we achieved about 86 percent of the gender identification rate.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2009년도 IWAIT
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• pp.816-820
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• 2009

In landscape simulatin, it is necessary to express very realistic image generated by computer graphics. One solution is to use texture mapping; however, it needs a lot of work and time to obtain images for texture mapping since there are huge variety of images for buildings, roads, stations and so on, and the landscape image is diverse due to the weather and time. Especially, weathered images such as stain on walls, crack on roads and so forth, are needed to make the landscape image very realistic. These weathered images do not have to be strict so that it saves a lot of work and time for obtaining the images for texture mapping if we can generate a variety of weathered images automatically. Therefore, this paper describes how to generate a variety of weathered images automatically by changing the weathered shape of the original image.

• 한국의류학회지
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• 제21권7호
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• pp.1109-1116
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• 1997

This study was designed to investigate the image of show window displays. The specific objectives of the study are as follows; 1) Construct a semantic differential scale to evaluate the images of show window displays; 2) Identify the factor structure of the show window displays; 3) Cluster the brands according to the images of show window displays; 4) Examine how the images of show window displays differ according to the different brand clusters; and 5) Identify by brand clusters, how the different show window display images affect the purchasing desires. The following conclusions were made from this study; 1.25 pairs of adjectives for show window displays were found to include five factor dimensions (total variance 67.7%) such as evaluation, interest, hardness and softness, maturity, and modernity. 2. The brands were divided into six clusters according to the show window display images. 3. There were significant differences in the visual evaluation of the brand clusters in the show window display images. 4. There were significant differences in the show window display images that affect the Purchasing desires among the brand clusters.