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Proteomic Analysis to Identify Tightly-Bound Cell Wall Protein in Rice Calli

  • Cho, Won Kyong;Hyun, Tae Kyung;Kumar, Dhinesh;Rim, Yeonggil;Chen, Xiong Yan;Jo, Yeonhwa;Kim, Suwha;Lee, Keun Woo;Park, Zee-Yong;Lucas, William J.;Kim, Jae-Yean
    • Molecules and Cells
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    • v.38 no.8
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    • pp.685-696
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    • 2015
  • Rice is a model plant widely used for basic and applied research programs. Plant cell wall proteins play key roles in a broad range of biological processes. However, presently, knowledge on the rice cell wall proteome is rudimentary in nature. In the present study, the tightly-bound cell wall proteome of rice callus cultured cells using sequential extraction protocols was developed using mass spectrometry and bioinformatics methods, leading to the identification of 1568 candidate proteins. Based on bioinformatics analyses, 389 classical rice cell wall proteins, possessing a signal peptide, and 334 putative non-classical cell wall proteins, lacking a signal peptide, were identified. By combining previously established rice cell wall protein databases with current data for the classical rice cell wall proteins, a comprehensive rice cell wall proteome, comprised of 496 proteins, was constructed. A comparative analysis of the rice and Arabidopsis cell wall proteomes revealed a high level of homology, suggesting a predominant conservation between monocot and eudicot cell wall proteins. This study importantly increased information on cell wall proteins, which serves for future functional analyses of these identified rice cell wall proteins.

Establishment of Thermal Infrared Observation System on Ieodo Ocean Research Station for Time-series Sea Surface Temperature Extraction (시계열 해수면온도 산출을 위한 이어도 종합해양과학기지 열적외선 관측 시스템 구축)

  • KANG, KI-MOOK;KIM, DUK-JIN;HWANG, JI-HWAN;CHOI, CHANGHYUN;NAM, SUNGHYUN;KIM, SEONGJUNG;CHO, YANG-KI;BYUN, DO-SEONG;LEE, JOOYOUNG
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.22 no.3
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    • pp.57-68
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    • 2017
  • Continuous monitoring of spatial and temporal changes in key marine environmental parameters such as SST (sea surface temperature) near IORS (Ieodo Ocean Research Station) is demanded to investigate the ocean ecosystem, climate change, and sea-air interaction processes. In this study, we aimed to develop the system for continuously measuring SST using a TIR (thermal infrared) sensor mounted at the IORS. New SST algorithm is developed to provide SST of better quality that includes automatic atmospheric correction and emissivity calculation for different oceanic conditions. Then, the TIR-based SST products were validated against in-situ water temperature measurements during May 17-26, 2015 and July 15-18, 2015 at the IORS, yielding the accuracy of 0.72-0.85 R-square, and $0.37-0.90^{\circ}C$ RMSE. This TIR-based SST observing system can be installed easily at similar Ocean Research Stations such as Sinan Gageocho and Ongjin Socheongcho, which provide a vision to be utilized as calibration site for SST remotely sensed from satellites to be launched in future.

A Study on the Estimation of Multi-Object Social Distancing Using Stereo Vision and AlphaPose (Stereo Vision과 AlphaPose를 이용한 다중 객체 거리 추정 방법에 관한 연구)

  • Lee, Ju-Min;Bae, Hyeon-Jae;Jang, Gyu-Jin;Kim, Jin-Pyeong
    • KIPS Transactions on Software and Data Engineering
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    • v.10 no.7
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    • pp.279-286
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    • 2021
  • Recently, We are carrying out a policy of physical distancing of at least 1m from each other to prevent the spreading of COVID-19 disease in public places. In this paper, we propose a method for measuring distances between people in real time and an automation system that recognizes objects that are within 1 meter of each other from stereo images acquired by drones or CCTVs according to the estimated distance. A problem with existing methods used to estimate distances between multiple objects is that they do not obtain three-dimensional information of objects using only one CCTV. his is because three-dimensional information is necessary to measure distances between people when they are right next to each other or overlap in two dimensional image. Furthermore, they use only the Bounding Box information to obtain the exact coordinates of human existence. Therefore, in this paper, to obtain the exact two-dimensional coordinate value in which a person exists, we extract a person's key point to detect the location, convert it to a three-dimensional coordinate value using Stereo Vision and Camera Calibration, and estimate the Euclidean distance between people. As a result of performing an experiment for estimating the accuracy of 3D coordinates and the distance between objects (persons), the average error within 0.098m was shown in the estimation of the distance between multiple people within 1m.

A simple test method to evaluate workability of conditioned soil used for EPB Shield TBM (토압식 쉴드 TBM 굴진을 위한 화강풍화토의 컨디셔닝을 평가하는 간편 시험법)

  • Kim, Tae-Hwan;Kwon, Young-Sam;Chung, Heeyoung;Lee, In-Mo
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.20 no.6
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    • pp.1049-1060
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    • 2018
  • Soil conditioning is one of the key factors for successfull tunnel excavations utilizing the earth pressure-balanced (EPB) shield tunnel boring machine (TBM) by increasing the tunnel face stability and extraction efficiency of excavated soils. In this study, conditioning agents are mixed with the weathered granite soils which are abundant in the Korean peninsula and the workability of the resulting mixture is evaluated through the slump tests to derive and propose the most suitable conditioning agent as well as the most appropriate agent mix ratios. However, since it is cumbersome to perform the slump tests all the time either in the laboratory or in-situ, a simpler test may be needed instead of the slump test; the fall cone test was proposed as a substitute. In this paper, the correlation between the slump value obtained from the slump test and the cone penetration depth obtained from the proposed fall cone test was obtained. Test results showed that a very good correlation between two was observed; it means that the simpler fall cone test can be used to assess the suitability of the conditioned soils instead of the more cumbersome slump test.

Feasibility Study on Technology Status Level and Location Conditions of Urban Mining Industry in Abandoned Mine Area (도시광산 산업의 현황수준 및 폐광지역 입지여건 타당성 연구)

  • Ko, Ilwon;Park, Joo-Hyun;Park, Jae-Hyun;Yang, In-Jae;Lee, Seung-Ae;Kim, Dae-Yeop;Kim, Su-Ro
    • Journal of the Korean Society of Mineral and Energy Resources Engineers
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    • v.55 no.6
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    • pp.553-563
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    • 2018
  • In this study, the location conditions and optimal technologies required for creating urban municipalities that can utilize the space in an abandoned mine area, where there is no infrastructure related to recycling wastes and valuable metals, are investigated. The urban mining industry deals with mineral resources through the processing of high value-added industrial by-products and wastes, and it is a useful linkage industry for the development of mineral resources and prevention of mining hazards. Urban mining technologies targeted at the abandoned mine area constitute screening, extraction, and smelting for recycling waste products. By analyzing the technologies available, an industrial network can be developed for recycling waste batteries and catalysts, which are promising raw materials. It is also important to establish an appropriate location for related industries that can generate value-added resources, rather than the resource supply and demand conditions seen in general urban mines. In order to overcome the accessibility and infrastructure limitations, the economic foundation of the abandoned mine area should consider the linkage of raw material supply, key technologies for recycling useful mineral resources that are derived from urban mines, spatial and site conditions, and industrial characteristics.

Strategies for the Development of Watermelon Industry Using Unstructured Big Data Analysis

  • LEE, Seung-In;SON, Chansoo;SHIM, Joonyong;LEE, Hyerim;LEE, Hye-Jin;CHO, Yongbeen
    • The Journal of Industrial Distribution & Business
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    • v.12 no.1
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    • pp.47-62
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    • 2021
  • Purpose: Our purpose in this study was to examine the strategies for the development of watermelon industry using unstructured big data analysis. That is, this study was to look the change of issues and consumer's perception about watermelon using big data and social network analysis and to investigate ways to strengthen the competitiveness of watermelon industry based on that. Methodology: For this purpose, the data was collected from Naver (blog, news) and Daum (blog, news) by TEXTOM 4.5 and the analysis period was set from 2015 to 2016 and from 2017-2018 and from 2019-2020 in order to understand change of issues and consumer's perception about watermelon or watermelon industry. For the data analysis, TEXTOM 4.5 was used to conduct key word frequency analysis, word cloud analysis and extraction of metrics data. UCINET 6.0 and NetDraw function of UCINET 6.0 were utilized to find the connection structure of words and to visualize the network relations, and to make a cluster of words. Results: The keywords related to the watermelon extracted such as 'the stalk end of a watermelon', 'E-mart', 'Haman', 'Gochang', and 'Lotte Mart' (news: 015-2016), 'apple watermelon', 'Haman', 'E-mart', 'Gochang', and' Mudeungsan watermelon' (news: 2017-2018), 'E-mart', 'apple watermelon', 'household', 'chobok', and 'donation' (news: 2019-2020), 'watermelon salad', 'taste', 'the heat', 'baby', and 'effect' (blog: 2015-2016), 'taste', 'watermelon juice', 'method', 'watermelon salad', and 'baby' (blog: 2017-2018), 'taste', 'effect', 'watermelon juice', 'method', and 'apple watermelon' (blog: 2019-2020) and the results from frequency and TF-IDF analysis presented. And in CONCOR analysis, appeared as four types, respectively. Conclusions: Based on the results, the authors discussed the strategies and policies for boosting the watermelon industry and limitations of this study and future research directions. The results of this study will help prioritize strategies and policies for boosting the consumption of the watermelon and contribute to improving the competitiveness of watermelon industry in Korea. Also, it is expected that this study will be used as a very important basis for agricultural big data studies to be conducted in the future and this study will offer watermelon producers and policy-makers practical points helpful in crafting tailor-made marketing strategies.

A case study of ground subsidence analysis using the InSAR technique (InSAR 기술을 이용한 지반침하분석 사례연구)

  • Moon, Joon-Shik;Oh, Hyoung-seok
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.24 no.2
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    • pp.171-182
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    • 2022
  • InSAR (Interferometry SAR) technique is a technique that uses complex data to obtain phase difference information from two or more SAR image data, and enables high-resolution image extraction, surface change detection, elevation measurement, and glacial change observation. In many countries, research on the InSAR technique is being conducted in various fields of study such as volcanic activity detection, glacier observation in Antarctica, and ground subsidence analysis. In this study, a case of large ground settlement due to groundwater level drawdown during tunnelling was introduced, and ground settlement analyses using InSAR technique and numerical analysis method were compared. The maximum settlement and influence radius estimated by the InSAR technique and numerical method were found to be quite similar, which confirms the reliability of the InSAR technique. Through this case study, it was found that the InSAR technique reliable to use for estimating ground settlement and can be used as a key technology to identify the long-term ground settlement history in the absence of measurement data.

Effect of Essential Oil from Cuscuta japonica CHOISY on Proliferation and Migration in Human Skin Keratinocyte (새삼(Cuscuta japonica CHOISY) 유래 정유의 피부 각질형성세포 증식 및 이주에 미치는 효과)

  • Choi, In Ho;Kim, Do Yoon;Lee, Hwan Myung
    • Journal of Life Science
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    • v.32 no.1
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    • pp.44-50
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    • 2022
  • The migration and proliferation of keratinocytes are key events in re-epithelization, itself a major phase in the wound healing process. Cuscuta japonica Choisy (CJC) is used as a traditional medicine to improve liver, heart, and intestinal function, and its extracts are reported to have various biological properties such as whitening, anti-oxidancy, and an anti-acne effect. However, it is not yet known in particular whether or not CJC essential oil (CJCEO) affects skin regeneration. In the present study, we isolated CJCEO by solvent extraction and tested its effect on wound healing responses using normal human keratinocytes, namely HaCaT cells. We found that CJCEO induced proliferation as well as migration in HaCaT cells in a dose-dependent manner. Compared with a control group, CJCEO treatment at 250 ㎍/ml increased proliferation by 239.98±5.51% in HaCaT cells in a dose and migration by 124.86±6.06%. Moreover, the oil induced sprout outgrowth and, at 250 ㎍/ml, increased collagen synthesis by 148.56±15.47% in HaCaT cells. These results demonstrate that CJCEO may promote skin regeneration and wound healing by increasing the migration, proliferation, and collagen synthesis of HaCaT cells. We therefore suggest that CJCEO could be used as a cosmetic material.

Performance of Feature-based Stitching Algorithms for Multiple Images Captured by Tunnel Scanning System (터널 스캐닝 다중 촬영 영상의 특징점 기반 접합 알고리즘 성능평가)

  • Lee, Tae-Hee;Park, Jin-Tae;Lee, Seung-Hun;Park, Sin-Zeon
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.26 no.5
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    • pp.30-42
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    • 2022
  • Due to the increase in construction of tunnels, the burdens of maintenance works for tunnel structures have been increasing in Korea. In addition, the increase of traffic volume and aging of materials also threatens the safety of tunnel facilities, therefore, maintenance costs are expected to increase significantly in the future. Accordingly, automated condition assessment technologies like image-based tunnel scanning system for inspection and diagnosis of tunnel facilities have been proposed. For image-based tunnel scanning system, it is key to create a planar image through stitching of multiple images captured by tunnel scanning system. In this study, performance of feature-based stitching algorithms suitable for stitching tunnel scanning images was evaluated. In order to find a suitable algorithm SIFT, ORB, and BRISK are compared. The performance of the proposed algorithm was determined by the number of feature extraction, calculation speed, accuracy of feature matching, and image stitching result. As for stitching performance, SIFT algorithm was the best in all parts of tunnel image. ORB and BRISK also showed satisfactory performance and short calculation time. SIFT can be used to generate precise planar images. ORB and BRISK also showed satisfactory stitching results, confirming the possibility of being used when real-time stitching is required.

A Study on Follow-up Survey Methodology to Verify the Effectiveness of (<인생나눔교실> 사업의 효과 검증을 위한 추적 조사 방법론 연구 - 2017~2018년도 영상추적조사를 중심으로 -)

  • Lee, Dong Eun
    • Korean Association of Arts Management
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    • no.53
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    • pp.207-247
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    • 2020
  • is a project for the senior generation with humanistic knowledge to become a mentor and communicate with them to present the wisdom and direction of life to the new generations of mentees based on various life experiences. has been expanding since 2015, starting with the pilot operation in 2014. In general, projects such as these are assessed to establish effectiveness indicators to verify effectiveness and to establish project management and development strategies. However, most of the evaluations have been conducted quantitatively and qualitatively based on the short-term duration of the project. Therefore, in the case of continuous projects such as , especially in the field of culture and arts where long-term effectiveness verification is required, the short-term evaluation is difficult to predict and judge the actual meaningful effects. In this regard, tried to examine the qualitative change of key participants in this project through the 2017 and 2018 image tracking survey. For this purpose, we adopted qualitative research methodology through interview video shooting, field shooting, and value coding as a research method suitable for the research subject. To analyze the results, first, the interview images were transcribed, keywords were extracted, value encoding works were matched with human psychological values, and the theoretical method was used to identify changes and to derive the meaning. In fact, despite the fact that the study conducted in this study was a follow-up survey, it remained a limitation that it analyzed the changed pattern in a rather short time of 2 years. However, this study systemized the specific methodology that researchers should conduct for follow-up and provided the flow of research at the present time when there is hardly a model for follow-up in the field of culture and arts education business in Korea as well as abroad. Significance can be derived from this point. In addition, it can be said that it has great significance in preparing the detailed system and case of comparative analysis methodology through value coding.