• Title/Summary/Keyword: PHOTOGRAPHIC IMAGE

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Effects of incubation temperature on the embryonic viability and hatching time in Russian sturgeon (Acipenser gueldenstaedtii)

  • Kim, Eun Jeong;Park, Chulhong;Nam, Yoon Kwon
    • Fisheries and Aquatic Sciences
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    • v.21 no.9
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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.

Archival Exhibitions and Photographs in the Age of the Image (이미지의 시대 기록전시와 사진기록)

  • Jo, Min-ji
    • The Korean Journal of Archival Studies
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    • no.39
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    • pp.73-100
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    • 2014
  • For a society to be constantly sustained, it needs its past memories to be made present into cultural memories. The state of oblivion resulted from the time difference of the past and the present is commonly made present into commemoration days or memorial spaces. Each has its own form of representation it reflects, but all are related to how past is remembered and how it will be formed. Records, especially the authentic records the nation secured, have an ontological feature of proof that is able to persuade the current present of the past present, and inherent in it is faith that originates from fundamental objectivity. Therefore the image of silence that such strictness of records creates realizes the detonation of specific memories through the act of visual exhibition. Hence, this paper endeavors to examine how the national records, particularly the photographical records, was utilized and how it influenced the people and the society after its organization, through analysing examples of memorial spaces.

A Study on Modern Korean Menu Food Styling through Web Image Analysis - Focusing on the Michelin Guide Seoul 2020 Star Restaurant - (웹이미지 분석을 통한 모던 한식 메뉴 푸드스타일링 연구 - 미쉐린가이드 서울 2020 스타레스토랑을 중심으로 -)

  • Ryu, Moohee
    • Journal of the Korean Society of Food Culture
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    • v.35 no.6
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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.

Bioimage Analyses Using Artificial Intelligence and Future Ecological Research and Education Prospects: A Case Study of the Cichlid Fishes from Lake Malawi Using Deep Learning

  • Joo, Deokjin;You, Jungmin;Won, Yong-Jin
    • Proceedings of the National Institute of Ecology of the Republic of Korea
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    • v.3 no.2
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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.

Abnormality Detection Method of Factory Roof Fixation Bolt by Using AI

  • Kim, Su-Min;Sohn, Jung-Mo
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.9
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    • pp.33-40
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    • 2022
  • In this paper, we propose a system that analyzes drone photographic images of panel-type factory roofs and conducts abnormal detection of bolts. Currently, inspectors directly climb onto the roof to carry out the inspection. However, safety accidents caused by working conditions at high places are continuously occurring, and new alternatives are needed. In response, the results of drone photography, which has recently emerged as an alternative to the dangerous environment inspection plan, will be easily inspected by finding the location of abnormal bolts using deep learning. The system proposed in this study proceeds with scanning the captured drone image using a sample image for the situation where the bolt cap is released. Furthermore, the scanned position is discriminated by using AI, and the presence/absence of the bolt abnormality is accurately discriminated. The AI used in this study showed 99% accuracy in test results based on VGGNet.

A study on the characteristics of gasoline spray to impinge on wall (벽면에 충돌하는 가솔린 분무의 특성에 관한 연구)

  • Lee, G.Y.
    • Journal of ILASS-Korea
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    • v.10 no.1
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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.

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Synthesis and Characterization of a $Di-{\mu}-oxo-bridged$ Molybdeum(V) Complexes (두 개 산소 가교형 몰리브덴(V)착물의 합성과 그 성질에 관한 연구)

  • Kim, Il-Chool;Kim, Yeoung-Chan
    • Journal of the Korean Applied Science and Technology
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    • v.16 no.3
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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.

Thermal Infrared Image Analysis for Breast Cancer Detection

  • Min, Sedong;Heo, Jiyoung;Kong, Youngsun;Nam, Yunyoung;Ley, Preap;Jung, Bong-Keun;Oh, Dongik;Shin, Wonhan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.2
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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.

Data Archive Project of 44-year Full Disk CaII K Images at Kyoto University

  • Kitai, Reizaburo;Uenoi, Satoru;Asai, Ayumi;Isobe, Hiroaki;Hayashi, Hiroo
    • The Bulletin of The Korean Astronomical Society
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    • v.36 no.2
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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.

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Development of Road Information System Using Digital Photogrammetry (수치사진측량을 이용한 도로정보체계 개발)

  • Seo, Dong-Ju;Lee, Jong-Chool
    • Journal of Korean Society for Geospatial Information Science
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    • v.11 no.4 s.27
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    • pp.3-11
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    • 2003
  • Lately, digital photogrammetry based on the principles of photographic suey has been more and more applied to various high-tech industries and becomes one of more interesting focuses of study than ever. Thus, this study aims to develop a roadway information system by means of digital photogrammetry. Data acquired from digital photogrammetry were processed via Delphi, an object-oriented programming language to develop a computer aided program that allows us to build up the information on road horizontal alignment(BC, EC, R. IP), road vertical alignment and road facilities. And the developed program could maximize the visual effects better than traditional programs, because it used many image data.

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