• Title/Summary/Keyword: detailed treatment techniques

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A Systematic Literature Review on the Domestic and Foreign Research Trends of Movable Modern and Contemporary Cultural Heritage Conservation (국내외 연구문헌 조사를 통한 근·현대 동산문화재 보존 연구 동향 분석)

  • Youm, Inkyung;Yu, Jaeeun;Lee, Hyeyoun
    • Korean Journal of Heritage: History & Science
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    • v.48 no.1
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    • pp.44-61
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    • 2015
  • The research on the conservation of the movable modern and contemporary cultural heritage have been actively performed internationally since late 20th century. In this study, the international research trends of movable modern and contemporary cultural heritage conservation in last decades were analyzed. Setting up the range of the period, research papers were collected through various databases based on the systematic literature review process. Samples of 45 domestic papers and 505 foreign papers were classified by materials as books and paper, metals, textiles and fibers, photographs and audio-visuals, woods, plastics and ceramics and glass. The types of treated artifacts, detailed materials of the treated artifacts, and the research subjects were investigated from each paper. The data were compiled statistically and analyzed. Number of papers are published domestically in the book and paper conservation and metals conservation fields, but there are needs for more diversified artifact types and extensive research subjects. The researches in foreign countries are active in conservation of organic materials such as paper, textile and photographs and deal with various research subjects on not only treatment techniques and elemental analysis but also preventive conservation and conservation ethics. It is expected that this study would contribute to the field as a preliminary data on the conservation of modern and contemporary cultural heritage.

Leision Detection in Chest X-ray Images based on Coreset of Patch Feature (패치 특징 코어세트 기반의 흉부 X-Ray 영상에서의 병변 유무 감지)

  • Kim, Hyun-bin;Chun, Jun-Chul
    • Journal of Internet Computing and Services
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    • v.23 no.3
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    • pp.35-45
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    • 2022
  • Even in recent years, treatment of first-aid patients is still often delayed due to a shortage of medical resources in marginalized areas. Research on automating the analysis of medical data to solve the problems of inaccessibility for medical services and shortage of medical personnel is ongoing. Computer vision-based medical inspection automation requires a lot of cost in data collection and labeling for training purposes. These problems stand out in the works of classifying lesion that are rare, or pathological features and pathogenesis that are difficult to clearly define visually. Anomaly detection is attracting as a method that can significantly reduce the cost of data collection by adopting an unsupervised learning strategy. In this paper, we propose methods for detecting abnormal images on chest X-RAY images as follows based on existing anomaly detection techniques. (1) Normalize the brightness range of medical images resampled as optimal resolution. (2) Some feature vectors with high representative power are selected in set of patch features extracted as intermediate-level from lesion-free images. (3) Measure the difference from the feature vectors of lesion-free data selected based on the nearest neighbor search algorithm. The proposed system can simultaneously perform anomaly classification and localization for each image. In this paper, the anomaly detection performance of the proposed system for chest X-RAY images of PA projection is measured and presented by detailed conditions. We demonstrate effect of anomaly detection for medical images by showing 0.705 classification AUROC for random subset extracted from the PadChest dataset. The proposed system can be usefully used to improve the clinical diagnosis workflow of medical institutions, and can effectively support early diagnosis in medically poor area.

Analysis and Prediction of Sewage Components of Urban Wastewater Treatment Plant Using Neural Network (대도시 하수종말처리장 유입 하수의 성상 평가와 인공신경망을 이용한 구성성분 농도 예측)

  • Jeong, Hyeong-Seok;Lee, Sang-Hyung;Shin, Hang-Sik;Song, Eui-Yeol
    • Journal of Korean Society of Environmental Engineers
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    • v.28 no.3
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    • pp.308-315
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    • 2006
  • Since sewage characteristics are the most important factors that can affect the biological reactions in wastewater treatment plants, a detailed understanding on the characteristics and on-line measurement techniques of the influent sewage would play an important role in determining the appropriate control strategies. In this study, samples were taken at two hour intervals during 51 days from $1^{st}$ October to $21^{st}$ November 2005 from the influent gate of sewage treatment plant. Then the characteristics of sewage were investigated. It was found that the daily values of flow rate and concentrations of sewage components showed a defined profile. The highest and lowest peak values were observed during $11:00{\sim}13:00$ hours and $05:00{\sim}07:00$ hours, respectively. Also, it was shown that the concentrations of sewage components were strongly correlated with the absorbance measured at 300 nm of UV. Therefore, the objective of the paper is to develop on-line estimation technique of the concentration of each component in the sewage using accumulated profiles of sewage, absorbance, and flow rate which can be measured in real time. As a first step, regression analysis was performed using the absorbance and component concentration data. Then a neural network trained with the input of influent flow rate, absorbance, and inflow duration was used. Both methods showed remarkable accuracy in predicting the resulting concentrations of the individual components of the sewage. In case of using the neural network, the predicted value md of the measurement were 19.3 and 14.4 for TSS, 26.7 and 25.1 for TCOD, 5.4 and 4.1 for TN, and for TP, 0.45 to 0.39, respectively.

The Content Analysis of the Textbooks of Dental Clinical Course (치과임상교과목 교재에 대한 내용분석)

  • Lee, Sun-Mi;Yoo, Jung-Sook;Ahn, Se-Youn;Lim, Mi-Hee;Han, Ji-Youn;Jun, Mi-Kyoung;Lee, Hyun-Ok;Won, Young-Soon
    • Journal of dental hygiene science
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    • v.15 no.3
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    • pp.272-279
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    • 2015
  • This study was conducted to provide baseline data which could suggest a direction of role based efficient integrated clinical education by avoiding duplicate of contents through analyzing clinical courses. Among the 7 clinical courses, orthodontics and periodontology were the most published subjects which were published in 5 kinds of books and dental materials was the least published subject which was published in 2 kinds of books on investigation of overlapping contents based on titles that appeared on chapters and verses of all textbooks for clinical courses. Dental implant was covered in 4 subjects such as oral maxillofacial surgery, prosthodontics, periodontology and dental materials which was the most number. Other overlapping contents were restoration treatment, occlusion and malocclusion, temporomandibular joint diseases, anesthesia sedation, tooth trauma, systemic disease and dental treatment, dental casting, isolation techniques, tooth bleaching, pulp protection, gingivitis periodontitis, tooth development, etc. Reviews of textbooks of clinical courses should be conducted in a detailed manner by systematic, various studies in order to improve quality of the textbooks.