• Title/Summary/Keyword: 노지

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A Study on Establishment of Mid- to Long-Term Comprehensive Development Plan for the Bank of Korea Library (시대적 변화에 따른 경제·금융전문도서관 발전 방향 모색에 관한 연구 - 한국은행 도서관을 중심으로 -)

  • Noh, Younghee;Ko, Jae-Min;Chang, Inho;Ro, Ji-Yoon
    • Journal of Korean Library and Information Science Society
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    • v.52 no.2
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    • pp.65-84
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    • 2021
  • This study aimed to analyze the overall operation status of the Bank of Korea library representing the economic library in Korea, investigate user satisfaction and demand, and to propose a direction for the development of the economic library in the future. To this end, a case study was conducted on changes in the external environment of major libraries at home and abroad, and a user survey was conducted. As a result, the future tasks include introducing smart systems, robotics some library services, non-face-to-face service response spaces that reflect the times, introducing big data analysis services, strengthening user-tailored systems, and activating SNS communication. It proposed developing specialized libraries, online reference and research support services, and providing original DBs for publications to strengthen expertise, maintaining and expanding cloud services, maintaining and expanding cooperative projects, and collecting national knowledge and information.

Development of 3D Crop Segmentation Model in Open-field Based on Supervised Machine Learning Algorithm (지도학습 알고리즘 기반 3D 노지 작물 구분 모델 개발)

  • Jeong, Young-Joon;Lee, Jong-Hyuk;Lee, Sang-Ik;Oh, Bu-Yeong;Ahmed, Fawzy;Seo, Byung-Hun;Kim, Dong-Su;Seo, Ye-Jin;Choi, Won
    • Journal of The Korean Society of Agricultural Engineers
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    • v.64 no.1
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    • pp.15-26
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    • 2022
  • 3D open-field farm model developed from UAV (Unmanned Aerial Vehicle) data could make crop monitoring easier, also could be an important dataset for various fields like remote sensing or precision agriculture. It is essential to separate crops from the non-crop area because labeling in a manual way is extremely laborious and not appropriate for continuous monitoring. We, therefore, made a 3D open-field farm model based on UAV images and developed a crop segmentation model using a supervised machine learning algorithm. We compared performances from various models using different data features like color or geographic coordinates, and two supervised learning algorithms which are SVM (Support Vector Machine) and KNN (K-Nearest Neighbors). The best approach was trained with 2-dimensional data, ExGR (Excess of Green minus Excess of Red) and z coordinate value, using KNN algorithm, whose accuracy, precision, recall, F1 score was 97.85, 96.51, 88.54, 92.35% respectively. Also, we compared our model performance with similar previous work. Our approach showed slightly better accuracy, and it detected the actual crop better than the previous approach, while it also classified actual non-crop points (e.g. weeds) as crops.

Factors Influencing on Clinical Decision Making Ability of Nurses in Long-term Care Hospitals (요양병원 간호사의 임상의사결정능력에 미치는 영향요인)

  • No, Ji-Yeong
    • Journal of Digital Convergence
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    • v.20 no.4
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    • pp.769-777
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    • 2022
  • The purpose of this study was to identify factors influencing the clinical decision making ability of nurses in long-term care hospitals. Data were collected from 174 nurses working in long-term care hospitals in G-do from October 11 to December 10, 2021. The data were analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation and stepwise multiple regression through the SPSS 23.0. As a result of the study, the clinical decision making ability was positively correlated with critical thinking disposition(r=.494, p<.001) and nursing work environment(r=.451, p<.001). Critical thinking disposition and nursing work environment explained 33.1% of clinical decision making ability. In order to improve the clinical decision making ability, which is the core competency of nurses, education to increase critical thinking disposition and the creation of a desirable nursing work environment are necessary. In future research, research to identify various variables affecting the clinical decision making ability of nursing hospital nurses, and research for the development and effectiveness of programs to improve clinical decision making ability are suggested.

Exploring the Revision Direction and Scope of the Korean Cataloging Rules for Religious Works (종교 저작에 대한 한국목록규칙의 개정 방향과 범위 탐색)

  • Rho, Jee-Hyun
    • Journal of Korean Library and Information Science Society
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    • v.52 no.4
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    • pp.153-177
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    • 2021
  • The revision of the Korean Cataloging Rules (KCR) is in progress in order to conform IFLA LRM conceptual model and to strengthen its internal stability. Religious works, along with musical works and legal works, have been treated as special and important in cataloging rules. This trend continues in the new cataloging rules that seek a bibliographic model that interconnects related materials. However since KCR2(1966), there are no rules for access points or specific rules on religious works. Under the circumstances, this study analyzed (1) the contents of religious works in the recently revised cataloging rules, (2) the access points and their functions for religious works implemented in online catalogs and authority system, and finally (3) the direction and scope of KCR revision. As a result of the study, this study suggested that it is necessary to prepare detailed rules for preferred title and authorized access points for various religious works in KCR. In conclusion, some issues for further discussion were summarized.

A System for Determining the Growth Stage of Fruit Tree Using a Deep Learning-Based Object Detection Model (딥러닝 기반의 객체 탐지 모델을 활용한 과수 생육 단계 판별 시스템)

  • Bang, Ji-Hyeon;Park, Jun;Park, Sung-Wook;Kim, Jun-Yung;Jung, Se-Hoon;Sim, Chun-Bo
    • Smart Media Journal
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    • v.11 no.4
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    • pp.9-18
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    • 2022
  • Recently, research and system using AI is rapidly increasing in various fields. Smart farm using artificial intelligence and information communication technology is also being studied in agriculture. In addition, data-based precision agriculture is being commercialized by convergence various advanced technology such as autonomous driving, satellites, and big data. In Korea, the number of commercialization cases of facility agriculture among smart agriculture is increasing. However, research and investment are being biased in the field of facility agriculture. The gap between research and investment in facility agriculture and open-air agriculture continues to increase. The fields of fruit trees and plant factories have low research and investment. There is a problem that the big data collection and utilization system is insufficient. In this paper, we are proposed the system for determining the fruit tree growth stage using a deep learning-based object detection model. The system was proposed as a hybrid app for use in agricultural sites. In addition, we are implemented an object detection function for the fruit tree growth stage determine.

Design of Initial Decision-Making Support Interface for Crop Facility Cultivation (작물 시설재배 초기 의사결정 지원 인터페이스 설계)

  • Kim, Kuk-Jong;Cho, Yong-Yoon
    • Journal of Internet of Things and Convergence
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    • v.8 no.2
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    • pp.71-78
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    • 2022
  • Recently, the number of people wishing to return to farming is increasing, However, the lack of farming experience and management information of returnees is one of the main reasons for increasing the probability of agricultural failure. This study proposes an interface to support early facility cultivation management decision-making for returnees who want facility cultivation. The proposed interface is designed with UML(Unified Modeling Language) and provides key decision-making information such as land/crop suitability, land/facility costs, and management costs according to input data such as cultivation areas, selected crops, and cultivation types selected by the user. Through the proposed interface, facility cultivators can effectively and quickly acquire initial decision-making information for facility cultivation in the desired target area.

Concentrations of N,N-dimethylformamide in Polyurethane Gloves and Risk Assessment for Dermal Exposures (폴리우레탄 코팅장갑내의 DMF 함량 및 피부노출에 대한 평가)

  • Park, Hae Dong;Ro, Jiwon
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.32 no.2
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    • pp.102-110
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    • 2022
  • Objectives: The purpose of this study is to analyze the content of N,N-dimethylformamide(DMF) in polyurethane coated gloves(PU-gloves) and to assess the dermal exposure generated by wearing them. Methods: We analyzed the concentrations of DMF in 12 gloves by EN16778 standard. The samples cut into pieces of about 10 by 10 mm and extracted with methanol in flask in an ultrasonic bath at 70℃. An aliquot of the extract is analyzed with GC-MS. The dose of dermal exposure was calculated by ECETOC TRA consumer 3.1 and compared with derived no effect level(DNEL) for systemic effects due to long term exposure by workers. The extracted amount of DMF by saline solution was compared with that by EN16778 standard. Results: The mean concentration of DMF in PU-gloves was 1,377 mg/kg(range 13~3,948 mg/kg). The concentration of DMF showed significantly differences by packing type, manufacturer, and price(p<0.05). The dose of dermal exposure was 0.0007~0.572 mg/kg body weight/day when the DMF content was 10~4,000 mg/kg. The DMF extracted by saline solution was around 11% for 8 hours. Conclusions: The risk of dermal exposure due to the residual DMF in the PU-gloves was not signifiant. But, the limit of 1,000 mg/kg in PU-gloves can be recommended for international standard and trading systems.

Normalized Difference Vegetation Index based on Landsat Images Variations between Artificial and Natural Restoration Areas after Forest Fire (산불 지역 인공·자연복원에 따른 Landsat영상 기반 식생지수 비교)

  • Noh, Jiseon;Choi, Jaeyong
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.25 no.5
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    • pp.43-57
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    • 2022
  • This study aims to classify forest fire-affected areas, identify forest types by the intensity of forest fire damage using multi-time Landsat-satellite images before and after forest fires and to analyze the effects of artificial restoration sites and natural restoration sites. The difference in the values of the Normalized Burned Ratio(NBR) before and after forest fire damage not only maximized the identification of forest fire affected and unaffected areas, but also quantified the intensity of forest fire damage. The index was also used to confirm that the higher the intensity of forest fire damage in all forest fire-affected areas, the higher the proportion of coniferous forests, relatively. Monitoring was conducted after forest fires through Normalized Difference Vegetation Index(NDVI), an index suitable for the analysis of effects by restoration type and the NDVI values for artificial restoration sites were found to no longer be higher after recovering the average NDVI prior to the forest fire. On the other hand, the natural restoration site witnessed that the average NDVI value gradually became higher than before the forest fires. The study result confirms the natural resilience of forests and these results can serve as a basis for decision-making for future restoration plans for the forest fire affected areas. Further analysis with various conditions is required to improve accuracy and utilization for the policies, in particular, spatial analysis through forest maps as well as review through site checks before and immediately after forest fires. More precise analysis on the effects of restoration will be available based on a long term monitoring.

A Study on the Trends and Development Direction of International Research Cooperation : Focusing on the analysis of research reports in International Research Cooperation (국제연구협력 동향 및 발전 방향에 관한 연구 : 국제연구협력 연구보고서 분석을 중심으로)

  • Noh, Younghee;Ro, Ji-Yoon
    • The Journal of the Korea Contents Association
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    • v.22 no.3
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    • pp.476-487
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    • 2022
  • International research cooperation is emerging as one of the strategies for improving research performance. Therefore, in this study, through the analysis of research reports on the theme of international research cooperation, the subject and issues of international research cooperation were identified and the characteristics of these studies were confirmed. To this end, related report data were constructed, statistical data analysis and big data analysis of the data were performed. Considering the current international research cooperation network, it is necessary to conduct international research cooperation centered on developing countries while paying attention to the increase in China's proportion of international research cooperation. Second, it is necessary to emphasize the importance of international research cooperation in various countries, including developing countries, in that the interdependence of research between countries increases and the citation index of actual joint research is higher. Third, it can be seen that the subject field in which international research cooperation can be activated may vary depending on the type of support project. Therefore, it suggests that in order for international research cooperation on more diverse topics to be carried out, projects supporting them must also be diversified.

A Study on Designing Metadata Elements for the Management of Digitized Records (디지털화 기록 관리를 위한 메타데이터 요소(안) 설계)

  • Jiin, Seo;Jee-Hyun, Rho
    • Journal of Korean Society of Archives and Records Management
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    • v.22 no.4
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    • pp.1-24
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    • 2022
  • This study aims to design the metadata elements for managing and maintaining digitized records resulting from digitization. The digitized records were first defined and characterized, then assigned as copies and surrogates for source records. Next, the factors to be considered when designing metadata elements for digitized records were determined by comparing standards from different countries like the United States and the United Kingdom. As a result of the comparison, establishing a relationship between digitized records and source records, expanding the automatically extracted metadata elements following resource characteristics, and creating metadata for digitization processes and projects were set to be the key tasks of metadata design for managing digitized records. Furthermore, the metadata elements for digital records and digitization processes were designed individually, and the elements to be added for each entity were proposed by referring to standards from other counties.