• Fisheries and Aquatic Sciences
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• 제21권9호
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• pp.23.1-23.8
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• 2018

Background: Russian sturgeon (Acipenser gueldenstaedtii) is an emerging candidate species in the Korean aquaculture domain owing to its highly valued caviar. Although the embryonic development of this species was previously described, the complete image data on the morphological differentiation of developing embryos have not been yet fully available. Further, with the viewpoint of larval production in hatchery, the effects of temperature on embryonic viability and the temporal window of hatching event have not been extensively studied. Hence, the objective of this study was to provide a complete set of photographic image data on the embryogenesis and also to examine the effects of incubation temperatures on embryonic viability and hatching event in farm-bred Russian sturgeon. Results: Typical characteristics of embryonic development including uneven, holoblastic cleavages with unequal blastomeres, followed by the formation of germ layer, neurulation, and organogenesis until hatching, were documented. Under different temperature conditions (12, 16, or $20^{\circ}C$), viability of embryos incubated at $12^{\circ}C$ was significantly lower as relative to those of 16 and $20^{\circ}C$ incubated embryos. Hatchability of embryos was higher, and the timing of hatching event was more synchronized at $20^{\circ}C$ than at 12 and $16^{\circ}C$. Conclusion: Data from this study suggest that the incubation of Russian sturgeon embryos at $20^{\circ}C$ would be desirable in the hatchery practice with respect to the good hatchability of embryos and the synchronization of hatching events. Additionally, the updated image data for complete embryonic development could be a useful reference guide for not only developmental researches but also artificial propagation of Russian sturgeon in farms.

• 기록학연구
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• 제39호
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• pp.73-100
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• 2014

한 사회가 지속적으로 유지되기 위해서는 지난 과거의 기억을 현재화하여 문화적 기억으로 생산해내는 것을 필요로 한다. 과거와 현재가 갖는 시간적 격차에 의한 망각의 상황은 흔히 기념일이나 기념 공간 등으로 현재화되고 있다. 각기 반영하는 재현 형식은 다르지만 지나간 과거가 어떻게 기억되고 어떻게 형성할 것인가와 관련되어 있다. 기록, 특히 국가가 확보한 진본 기록은 지나간 현재에 대하여 지금의 현재에 설득이 가능한 증거라는 존재론적 특징을 가지며 근원적 객관성에서 연원한 신뢰감이 내재되어 있다. 따라서 기록이 가진 이러한 엄정함이 만들어내는 이미지는 시각적 전시 행위를 통해 구체적 기억의 촉발성을 구현한다. 이러한 논의를 바탕으로 재현 공간에서 과거를 이해하는데 국가 기록, 특히 사진기록의 의미와 전시 활용 효과를 살펴보았다.

• 한국식생활문화학회지
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• 제35권6호
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• pp.538-552
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• 2020

Tis study was an attempt to systematically analyze the characteristics of modern Korean food styling using the menu image photos of the Michelin Guide Seoul 2020 restaurants. The first sampling was conducted on the 27th of March 2020 and the second on the 27th of October 2020. A collection of images on the web and 442 photographic cases obtained by a search through theoretical background literature and research papers were studied by a qualitative analysis method. First, the food styling contents were analyzed and based on that, the food styling characteristics of the menus of 11 restaurants in Korea including the contemporary restaurants were considered. The analysis revealed several aspects of Korean food styling. First, food styling appeared to have three major characteristics: color, shape, and container styling. Color styling was further subdivided into single color/similar color, color contrast, source type, and accent color type. The shape/formative styling was classified into figure type, shape type, accessory type, and garnish type, and container styling was categorized as container color type, container shape type, and container material type. Second, the modern Korean food color styling characteristics of Michelin restaurants were categorized in the order of monochromatic/similar type, sauce type, accent color type, and color contrast. In the formative styling category, it was categorized in the order of shape type, small piece type, garnish/garnish type, and figure type. In container styling, container material type and formative type accounted for the major portion of the category. The food styling characteristics of the modern Korean menu were systematized and image examples were presented visually. Please use it as food styling educational material or personal food styling skill.

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• 제3권2호
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• pp.67-72
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• 2022

Ecological research relies on the interpretation of large amounts of visual data obtained from extensive wildlife surveys, but such large-scale image interpretation is costly and time-consuming. Using an artificial intelligence (AI) machine learning model, especially convolution neural networks (CNN), it is possible to streamline these manual tasks on image information and to protect wildlife and record and predict behavior. Ecological research using deep-learning-based object recognition technology includes various research purposes such as identifying, detecting, and identifying species of wild animals, and identification of the location of poachers in real-time. These advances in the application of AI technology can enable efficient management of endangered wildlife, animal detection in various environments, and real-time analysis of image information collected by unmanned aerial vehicles. Furthermore, the need for school education and social use on biodiversity and environmental issues using AI is raised. School education and citizen science related to ecological activities using AI technology can enhance environmental awareness, and strengthen more knowledge and problem-solving skills in science and research processes. Under these prospects, in this paper, we compare the results of our early 2013 study, which automatically identified African cichlid fish species using photographic data of them, with the results of reanalysis by CNN deep learning method. By using PyTorch and PyTorch Lightning frameworks, we achieve an accuracy of 82.54% and an F1-score of 0.77 with minimal programming and data preprocessing effort. This is a significant improvement over the previous our machine learning methods, which required heavy feature engineering costs and had 78% accuracy.

• 한국컴퓨터정보학회논문지
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• 제27권9호
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• pp.33-40
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• 2022

본 연구는 판넬형 공장 지붕의 드론 촬영 이미지를 분석해 볼트의 이상 탐지를 수행하는 시스템을 제안한다. 지붕의 점검은 현재 점검자가 직접 지붕 위로 올라가 점검을 진행한다. 하지만 고소 작업 환경으로 인한 안전사고가 지속해서 발생하고 있어 새로운 대안이 필요하다. 이에, 최근 위험 환경의 점검 방안의 대안으로 대두되는 드론 촬영의 결과물을 딥러닝을 이용해 이상 볼트의 위치를 찾아내는 방안을 통해 손쉽게 점검할 수 있도록 한다. 본 연구에서 제안하고 있는 시스템은 촬영된 드론 이미지를 볼트캡이 풀려있는 상황에 대한 샘플 이미지를 사용해 스캐닝을 진행한다. 더 나아가 스캔 된 위치에 대해 AI를 사용해 판별해 정확하게 볼트 이상 여부를 판별한다. 본 연구에서 사용한 AI는 VGGNet 기반으로 정확도 99%의 테스트 결과를 보였다.

• 한국분무공학회지
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• 제10권1호
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• pp.17-23
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• 2005

Even though a relatively complete knowledge base has been established for diesel sprays, much of the knowledge cannot be directly translated to correlate the characteristics of gasoline spray. The macroscopic characteristics of gasoline impingement spray was investigated with photographic and image processing technique by Particle Motion Analysis System. The injector with single hole nozzle diameter of 0.28 mm was used in this experiment and the injection duration was selected as 10 msec. The injection pressure with 0.3, 0.35, and 0.4 MPa, impingement distance or 70, 100 and 130m, impingement angle or 0.15, 30 and $45^{\circ}$ were employed for the variables to affect the spray characteristics of impinging spray. It is clear that there is the analogy on the spray tip penetration between the gasoline impinging jet and diesel free jet. The spray tip penetration of impinging gasoline spray is proportional to the quarter power of the time after start of injection. The maximum height of impinging gasoline spray is also proportional to the quarter power of the time regardless of impingement distance, impingement angle and injection pressure. In addition, the effect of impingement angle on the spray tip penetration is significant according to the time after start of injection, even though there is minor effect in the initial stage of time after start of injection. Moreover, there is no remarkable effect of injection pressure on the spray tip Penetration under the experimental condition used in this study.

• 한국응용과학기술학회지
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• 제16권3호
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• pp.205-210
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• 1999

The Mo(V) $di-{\mu}-oxo$ type $[Mo_2O_4(H_2O)_2L]Cl_2$ complexes(L: 4,4'-Diphenyl-2,2'-dipyridyl, 4,4'-Dimethyl-2,2'-dipyridyl, 4,7-Diphenyl-1,10-phenanthroline) have been prepared by the reaction of $[Mo_2O_4(H_2O)_6]^{2+}$ with a series of chelate ligands. These complexes are completed by two terminal oxygens arranged trans to one another and each ligand forms a chelate types. In $Mo_2O_4(H_2O)_2L$ two $H_2O$ coordinated at trans site of terminal oxgens. The prepared complexes have been characterized by elemental analysis, infrared spectra, electronic spectra, $^1H$ nuclear magnetic resonance spectra, and thermal analysis(TG-DTA). In the potential range -0.00V to -1.00V at scan rate of $50mVs^{-1}$, a cathodic peak at -0.83V ${\sim}$ -0.88V (vs SCE) and an anodic peak at -0.54V ${\sim}$ -0.88V (vs SCE) have been observed in aquous solution. The ratio of the cathodic to anodic current(Ipc/Ipa) is almost 2, we infer that redox is irreversible as dimer forms broken.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권2호
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• pp.1134-1147
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• 2017

With the rise in popularity of photographic and video cameras, an increasing number of fields are now using thermal imaging cameras. One such application is in the diagnosis of breast cancer, as thermal imaging provides a low-cost and noninvasive method. Thermal imaging is particularly safe for pregnant women, and those with large, dense, or sensitive breasts. In addition, excessive doses of radiation, which may be used in traditional methods of breast cancer detection, can increase the risk of cancer. This paper presents one method of breast cancer detection. Breast images were taken using a thermal camera, with preliminary experiments conducted on Cambodian women. Then the experimental results were analyzed and compared using Shannon entropy and logistic regression.

• 천문학회보
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• 제36권2호
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• pp.90.2-90.2
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• 2011

At Kyoto University, a continuous solar full-disk observation in CaII K line had been done during 44 years of 1926 - 1969. The observation was done with a Askania spectroheliograph on daily base. The images were taken on photographic plates. We started a project to archive these image data into a digital database which will be open to the public for scientific researches. One of the scientific usage of the database is to study the long term variation of the solar chromospheres. Since the area of CaII K plage area is a measure of solar chromospheric heating, we can do comparative study of the sunspot cycle and the chromospheric heating cycle of the sun. Another interesting field of scientific utilization of the database is the long term variation of the heating of terrestrial upper atmosphere. As was shown by Yokoyama, Masuda and Sato (2005), the area of the CaII K plage is a good proxy measure of solar EUV irradiation onto the upper atmosphere of the earth. Thus the completion of our database will serve to supply a basic and long-span data for upper atmospheric heating issues by the cooperative study with the Inter-university Upper atmosphere Global Observation NETwork (IUGONET) developed in Japan.

• 대한공간정보학회지
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• 제11권4호
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• pp.3-11
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• 2003

최근 수치사진측량은 사진측량의 기본원리를 이용하여, 각종 첨단 산업분야에 그 응용이 증대되고 있으며, 많은 관심과 연구가 진행되고 있는 실정이다. 본 연구에서는 수치사진측량에 의한 도로정보체계 개발을 하고자한다. 수치 사진측량에서 취득된 자료들을 객체 지향적인 언어인 Delphi를 이용하여 도로평면선형정보 (BC, EC, R, IP)와 도로종단선형정보 및 도로시설물정보를 구축하는 프로그램을 개발하였고, 개발된 프로그램은 영상자료를 많이 이용하여 기존보다 시각적인 효과를 극대화 할 수 있었다.