• 제목/요약/키워드: non-destructive

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A Study on the Quantitative Analysis of Portable XRF for the Components Analysis of Metal Cultural Heritage (금속문화재 성분분석을 위한 휴대용 XRF 정량분석법 연구)

  • Lim, So-Mang;Kwon, Young-Suk;Cho, Young-Rae;Chung, Won-Sub
    • Journal of Conservation Science
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    • v.37 no.5
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    • pp.451-463
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    • 2021
  • In this study we conducted component analyses of portable XRF detectors using four Au-Cu alloy standard samples to improve their accuracy by drawing up a calibration curve based on ICP-OES standard values. The portable XRF analysis found absolute errors of 0.3 to 3.7 wt% for Au and 0.2 to 8.2 wt% for Cu, confirming that the error range and standard deviation differed from one detector to another. Furthermore, the calibration curve improved their accuracy, such that the relative error rates of Au and Cu decreased from 9.8% and 14% to 3.5% and 3.7%, respectively. Accordingly, an experiment to confirm the calibration curve was conducted using unknown samples, finding that the measured values of the unknown samples fell on the calibration curve. Therefore, to accurately analyze the components of metal cultural heritage items, it is necessary to prepare a calibration curve for each element after checking whether the detector is suitable for the artifact.

Process Risk Assessment for a Batch Condensation Reaction of Polyester Resin using K-PSR Technique (K-PSR 기법을 활용한 회분식 폴리에스터 축합반응에서의 공정 위험성 평가 연구)

  • Park, Kyung-Min;Lee, Dong-Kyu;Lee, Haakil;Lee, Joon-Man;Ahn, Won-Sool
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.3
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    • pp.35-42
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    • 2019
  • Risk assessment and analysis for a medium-to-small sized chemical plant that manufactures a polyester resin by the process of batch-type condensation reaction was conducted using K-PSR technique which is one of the risk assessment methods used to implement the Process Safety Management System (PSM). K-PSR is a risk assessment technique developed by KOSHA to compensate for difficulties caused by the lack of infrastructure of medium-to-small sized chemical plants in the re-evaluation. To apply the K-PSR technique, the entire process of a selected chemical palnt was classified in two review sections, i.e., the condensation reaction process and the dilution/filtration process, and the potential risks of the process about these review sections were identified and classified based on the four guide-words (release, fire.explosion, process trouble, and injury). As the results of the research, refer to recommend of risk rating has been confirmed that non-destructive testing of old facilities and the preparation of LOTO procedures for the electrical equipments are necessary as specific measures to prevent the risk of release and fire.explosion. It was also shown that pressure gauges and thermometers should be installed on the hot-oil supply piping to minimize the process trouble, and exhausting hood should be installed to prevent potential injury.

Evaluation of Rededge-M Camera for Water Color Observation after Image Preprocessing (영상 전처리 수행을 통한 Rededge-M 카메라의 수색 관측에의 활용성 검토)

  • Kim, Wonkook;Roh, Sang-Hyun;Moon, Yongseon;Jung, Sunghun
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.37 no.3
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    • pp.167-175
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    • 2019
  • Water color analysis allows non-destructive estimation of abundance of optically active water constituents in the water body. Recently, there have been increasing needs for light-weighted multispectral cameras that can be integrated with low altitude unmanned platforms such as drones, autonomous vehicles, and heli-kites, for the water color analysis by spectroradiometers. This study performs the preprocessing of the Micasense Rededge-M camera which recently receives a growing attention from the earth observation community for its handiness and applicability for local environment monitoring, and investigates the applicability of Rededge-M data for water color analysis. The Vignette correction and the band alignment were conducted for the radiometric image data from Rededge-M, and the sky, water, and solar radiation essential for the water color analysis, and the resultant remote sensing reflectance were validated with an independent hyperspectral instrument, TriOS RAMSES. The experiment shows that Rededge-M generally satisfies the basic performance criteria for water color analysis, although noticeable differences are observed in the blue (475 nm) and the near-infrared (840 nm) band compared with RAMSES.

Analysis of Magnetic Flux Leakage based Local Damage Detection Sensitivity According to Thickness of Steel Plate (누설자속 기반 강판 두께별 국부 손상 진단 감도 분석)

  • Kim, Ju-Won;Yu, Byoungjoon;Park, Sehwan;Park, Seunghee
    • Journal of Korean Society of Disaster and Security
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    • v.11 no.2
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    • pp.53-60
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    • 2018
  • To diagnosis the local damages of the steel plates, magnetic flux leakage (MFL) method that is known as a adaptable non-destructive evaluation (NDE) method for continuum ferromagnetic members was applied in this study. To analysis the sensitivity according to thickness of steel plate in MFL method based damage diagnosis, several steel plate specimens that have different thickness were prepared and three depths of artificial damage were formed to the each specimens. To measured the MFL signals, a MFL sensor head that have a constant magnetization intensity were fabricated using a hall sensor and a magnetization yoke using permanent magnets. The magnetic flux signals obtained by using MFL sensor head were improved through a series of signal processing methods. The capability of local damage detection was verified from the measured MFL signals from each damage points. And, the peak to peak values (P-P value) extracted from the detected MFL signals from each thickness specimen were compared each other to analysis the MFL based local damage detection sensitivity according to the thickness of steel plate.

A Scientific Analysis of Pigments for A Scroll Painting in Daeungjeon Hall of Bulguk Temple (불국사 대웅전 석가모니후불탱화 안료의 과학적 분석)

  • Kim, So Jin;Han, Min Su;Lee, Han Hyoung
    • Korean Journal of Heritage: History & Science
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    • v.45 no.3
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    • pp.212-223
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    • 2012
  • Pigments used paintings, ornaments, weapons and various objects have been recognised as important elements to ascertain the history, manufacturing technique and cultural migration. Since the understanding of composition of pigments by analysis began in 1963, its technique and methodology has much advanced in recent years; recent study used the portable X-ray Fluorescence as non-destructive analysis has been practiced in particular. However the study on pigments necessitates overall and systematic research because it is difficult to understand periodical and regional use of pigments. by fractional studies. Therefore this research investigates the coloring materials and painting techniques of the scroll painting depicting preaching scene of Sakyamuni Buddha in Daeungjeon Hall, a main hall of Bulguk temple, through scientific analysis and comparison of various pigments which had been applied to the buddhist paintings of Joseon Dynasty. Consequently, it is confirmed that the scroll painting used pigments of white lead[$2PbCO_3{\cdot}Pb(OH)_2$] for ground layer and used mixture of different pigments such as cinnabar (HgS) minium($Pb_3O_4$) malachite($2CuO{\cdot}CO_2{\cdot}H_2O$) hematite($Fe_2O_3$) gold(Ag) for presenting various colors on the painting layer. It has been also believed that mineral pigments were applied to the scroll painting, yet it is difficult to confirm whether it is natural or synthetic pigments because the crystal structures of pigments were not analyzed. The results of this study, however, provide useful reference data for the understanding of the components of pigments and manufacturing techniques of buddhist scroll paintings, in particular, of Joseon Dynasty.

Study on the Baekje's Cotton Fabrics Excavated in Neungsan-ri Temple Site (부여 능산리 사지 출토 백제 면직물연구)

  • Sim, Yeon Ok;Chung, Yong Jae;Yu, Ji A;Namgung, Seung
    • Korean Journal of Heritage: History & Science
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    • v.44 no.3
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    • pp.4-17
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    • 2011
  • The Baekje's cotton fabrics were excavated from 'Neungsan-ri temple site in Buyeo' (September 1999-April 2000) and stored at Buyeo National Museum after conservation treatment. In this study, it carred out non-destructive, chemical and morphological analysis for fiber identification, also considered on influx, features and difference between the 'Baek-cheop-po(Three kingdom period's cotton fiber)' and 'Mok-myeon(imported by Munikjeom, late Korea dynasty)'. As a result, the fiber proved cellulose fiber through analytical researches like color reaction, FT-IR(chemical analysis). It was also confirmed lumens, typical dimensional structure(morphological analysis) as an features of cotton fiber. The fiber was the first evidence in ancient Korea's cotton. But it can not prove that whether weaving were made in Baekje's area. However there were documentation that people in Beakje make cloth to silk fabric from 'Mahan period'. We can suppose that they have had an old weaving techniques. This study has a great historical, academic values as the only evidence for the hypothesis of a weaving technique of the Baekje's cotton. Through comparison to each region's ancient cottons, we can investigate the species of Baekje's cotton and ancient Korea cotton's influx.

Evaluation of Angle Dependence on Positional Radioisotope Source Detector using Monte Carlo Simulation in NDT (몬테카를로 시뮬레이션을 이용한 방사선원 위치 검출기의 각도의존성 연구)

  • Han, Moojae;Heo, Seunguk;Shin, Yohan;Jung, Jaehoon;Kim, Kyotae;Heo, Yeji;Lee, Deukhee;Cho, Heunglae;Park, Sungkwang
    • Journal of the Korean Society of Radiology
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    • v.13 no.1
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    • pp.141-146
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    • 2019
  • Radiation sources used in the field of industrial non-destructive pose a risk of exposure due to ageing equipment and operator carelessness. Thus, the need for a safety management system to trace the location of the source is being added. In this study, Monte Carlo Simulation was performed to analyse the angle dependence of the unit-cell comprising the line-array dosimeter for tracking the location of radiation sources. As a result, the margin of error for the top 10% of each slope was 5.90% at $0^{\circ}$, 8.08% at $30^{\circ}$, and 20.90% at $60^{\circ}$. The ratio of the total absorbed dose was 83.77% at $30^{\circ}$ and 53.36% at $60^{\circ}$ based on $0^{\circ}$(100%) and showed a tendency to decrease with increasing slope. For all gradients, the maximum number was shown at $30^{\circ}$ No. 9 pixels, and for No. 10, there was a tendency to drop 7.24 percent. This study has shown a large amount of angle dependence, and it is estimated that the proper distance between the source and line-array dosimeters should be maintained at a distance of not less than 1 cm to reduce them.

A Characteristic Analysis of Glass Beads in Geumgwan Gaya, Korea (I) (금관가야 유리구슬의 특성 분석 (I))

  • Kim, Eun A;Lee, Je Hyun;Kim, Gyu Ho
    • Journal of Conservation Science
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    • v.37 no.3
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    • pp.232-244
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    • 2021
  • This study examined the physical attributes and heat treatment characteristics of glass beads excavated from the Gimhae area, which is the location of Geumgwan Gaya. This enabled classification of surface characteristics of the beads based on the investigation of the color, size, and shape. The glass beads were classified into eight color systems, with purplish-blue beads as the representative color. Bead size was categorized into three types depending on the outer diameter and how it increased over time. Bead shapes were categorized as round, tubular, or doughnut-shaped based on the inner diameter and length, with round being the typical shape. According to the degree of heat treatment, there are three types of cross-section for glass beads that are manufactured by the drawing technique, most of which are the HT-III type. In addition, it is estimated that the heat treatment technology has more considerable effects than other methods. Through non-destructive analysis, the chemical composition was obtained and categorized as flux, stabilizer, and colorant. Analysis confirmed the presence of 63 and 9 pieces in the potash and soda glass groups, respectively. Overall findings from the study highlighted a correlation between the chemical composition and the external factors such as color, size, shape, and manufacturing technology of glass beads recovered from Geumgwan Gaya, revealing characteristics related to that time and region.

Development of Artificial Intelligence Model for Predicting Citrus Sugar Content based on Meteorological Data (기상 데이터 기반 감귤 당도 예측 인공지능 모델 개발)

  • Seo, Dongmin
    • The Journal of the Korea Contents Association
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    • v.21 no.6
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    • pp.35-43
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    • 2021
  • Citrus quality is generally determined by its sugar content and acidity. In particular, sugar content is a very important factor because it determines the taste of citrus. Currently, the most commonly used method of measuring citrus sugar content in farms is a portable juiced sugar meter and a non-destructive sugar meter. This method can be easily measured by individuals, but the accuracy of the sugar content is inferior to that of the citrus NongHyup official machine. In particular, there is an error difference of 0.5 Brix or more, which is still insufficient for use in the field. Therefore, in this paper, we propose an AI model that predicts the citrus sugar content of unmeasured days within the error range of 0.5 Brix or less based on the previously collected citrus sugar content and meteorological data (average temperature, humidity, rainfall, solar radiation, and average wind speed). In addition, it was confirmed that the prediction model proposed through performance evaluation had an mean absolute error of 0.1154 for Seongsan area and 0.1983 for the Hawon area in Jeju Island. Lastly, the proposed model supports an error difference of less than 0.5 Brix and is a technology that supports predictive measurement, so it is expected that its usability will be highly progressive.

Development of Chicken Carcass Segmentation Algorithm using Image Processing System (영상처리 시스템을 이용한 닭 도체 부위 분할 알고리즘 개발)

  • Cho, Sung-Ho;Lee, Hyo-Jai;Hwang, Jung-Ho;Choi, Sun;Lee, Hoyoung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.3
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    • pp.446-452
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    • 2021
  • As a higher standard for food consumption is required, the consumption of chicken meat that can satisfy the subdivided food preferences is increasing. In March 2003, the quality criteria for chicken carcasses notified by the Livestock Quality Assessment Service suggested quality grades according to fecal contamination and the size and weight of blood and bruises. On the other hand, it is too difficult for human inspection to qualify mass products, which is key to maintaining consistency for grading thousands of chicken carcasses. This paper proposed the computer vision algorithm as a non-destructive inspection, which can identify chicken carcass parts according to the detailed standards. To inspect the chicken carcasses conveyed at high speed, the image calibration was involved in providing robustness to the side effect of external lighting interference. The separation between chicken and background was achieved by a series of image processing, such as binarization based on Expectation Maximization, Erosion, and Labeling. In terms of shape analysis of chicken carcasses, the features are presented to reveal geometric information. After applying the algorithm to 78 chicken carcass samples, the algorithm was effective in segmenting chicken carcass against a background and analyzing its geometric features.