• Title/Summary/Keyword: Open Data Utilization

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Influence of the Educational Planning Model(ADDIE) Utilization and Self-Leadership on Work Performance among Occupational Health Managers (보건관리자의 ADDIE 모형 활용정도와 셀프 리더십이 직무성과에 미치는 영향)

  • Kim, Young-Im;Jung, Hye-Sun;Lee, Da-Ye
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.29 no.3
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    • pp.394-403
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    • 2019
  • Objectives: This study was conducted to examine the effect of the utilization of the educational planning model (ADDIE) and self-leadership of occupational health managers (OHM) on work performance. Methods: The sample of this study was 180 OHM with over six months of experience, who attended continuing education by the Korean Academic Society of Occupational Health Nursing. Data were collected from April to June 2019 and analyzed using frequency analysis, t-test, F-test, Pearson's correlation analysis, and multiple regression analysis through SPSS Program Ver. 23. Results: According to the results of multiple regression analysis of the factors influencing the work performance of OHM, the model was significant and the explanatory power was 40%. Self-leadership (${\beta}=.45$, p=.001), utilization of the educational planning model (${\beta}=.20$, p<.005), and position (${\beta}=.16$, p=.024) were significant influence factors on work performance. Conclusions: To improve the work performance of OHM, a customized program needs to be developed that promotes the utilization ability of the educational planning model and a strategy of benchmarking high performers in the light of their positions. The improvement of the work performance of OHM will eventually make a contribution to the reduction of industrial disaster and occupational diseases.

Utilization of Korean Medicine among Children with Cerebral Palsy - Qualitative Study by Grounded Theory (뇌성마비 아동의 한방의료 이용행태 - 근거이론에 의한 질적연구)

  • Lee, Hyunjoo;Kim, Buyoung;Yun, Youngju
    • Journal of Society of Preventive Korean Medicine
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    • v.23 no.2
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    • pp.25-42
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    • 2019
  • Objectives : The purpose of this study was to identify factors that affect the utilization of Korean medicine (KM) among children with cerebral palsy (CP) and explore a processing model of decision-making by their parents. Methods : We conducted an individual in-depth interview with 21 mothers of children with CP who were recruited during the observational study. A grounded theory of Strauss and Corbin was used for qualitative analysis. Thus, collected data were classified into open coding including 121 concepts, 27 sub-categories and 7 categories. Results : The central phenomenon of the process of using KM for children with CP is 'KM as an optional treatment not essential'. Therefore there are many obstacles to starting KM treatment and it is easily interrupted for various reasons, unlike general rehabilitation treatment. However, if the patient experiences the therapeutic effect, the parents want to continue KM treatment. They try to provide treatment as much as possible if they can afford it. The parents give priority to general rehabilitation treatment and value the information and experience provided by the caregivers in similar situation as well as expert opinions. Conclusions : To expand and generalize KM treatment for children with CP, efforts to change interventional conditions such as treatment effect, treatment cost, treatment compliance, and convenience of treatment based on the understanding of the strategy used by the parents in KM utilization.

The Elementary School Teachers' Conceptions and Utilization on the General Remarks in the Science Teacher's Guide (초등교사들의 과학 교사용 지도서 총론에 대한 인식과 활용 실태)

  • Jang, Myoung-Duk;Joung, Yong-Jae;Kim, Han-Je
    • Journal of Korean Elementary Science Education
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    • v.30 no.4
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    • pp.535-552
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    • 2011
  • The purpose of this study was to investigate elementary school teachers' conceptions on the general remarks (GR) in the new science teacher's guide, the teachers' conceptions on inservice training program of the GR, and their opinions of improvement on the GR. Also, the teachers' utilization of the GR was examined. The participants were 152 elementary school teachers who were teaching grade 3~6. A questionnaire was used to collect data. The results of this study are as follows; First, at least 13.2~17.1% of the teachers did not have specific conception of the purpose of the GR, and more than 90% of the teachers expressed that the GR is necessary in the teachers' guide. Second, about 60% of the teachers responded that the training program on the GR is necessary, and when the program is open, their most favorite agency and speaker were a provincial education office and a textbook developer(or author), respectively. Their most favorite time and period of the training program were the vacation and 15~30 hours, respectively. Third, the mean values on the frequency of use were lower than 3 point of the five-point Likert scale at both the GR for grade 3~4 and the GR for grade 5~6, and the teachers' main use of the GR was the planning a science lesson for an open class. Fourth, the teachers suggested various opinions and there was difference between the opinions about the GR for grade 3~4 and the opinions about the GR for grade 5~6.

Evaluation of Horticultural Characteristics on Water Dropwort (Oenanthe stolonifera DC.) Genetic Resources for Various Utilization

  • Eun Ji Kim;Sung Yong Jin;Hyun Soo Jung;Chi Seon Kim
    • Proceedings of the Plant Resources Society of Korea Conference
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    • 2022.09a
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    • pp.51-51
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    • 2022
  • Water dropwort (Oenanthe stolonifera DC.) is a perennial herbaceous plant that grows wild throughout Korea. As of 2020, 24,819 tons (51.7% of open field, 48.3% of facility) are produced in 1,278 ha (59.9% of open field, 40.1% of facility) nationwide. Water dropwort, which is rich in nutrients such as vitamins and iron, is mainly cultivated by vegetative propagation method using local traditional species, however, seed propagation and breeding of cultivars are insufficient so far. Since securing, propagating and continuous characterization of various genetic resources are required to breed new cultivars, this study was conducted to compare the main characteristics of domestic genetic resources and to improve their utilization. Growth characteristics such as plant height, fresh weight, plant type, and flowering date were investigated for the 89 varieties of genetic resources owned by Jeollabuk-do Agricultural Research and Extension Services after vegetative propagation in the individual pots. Also, the morphological image information of leaves and flowers was constructed. Genetic resources were collected nationwide and originated in 30 regions including Hwaseong, Siheung and Jeju. Their plant types could be classified into straight, intermediate and creeping types according to their morphological characteristics, and at this time, the number of intermediate types accounted for the largest proportion. Flowering was carried out under high-temperature and long-day conditions in summer. According to the flowering date, they could be classified into early, middle and late flowering varieties, and at this time, the middle flowering varieties occupied the largest proportion. As a result of the investigation of vegetative growth characteristics, varieties with long plant height, heavy fresh weight and thick stem thickness were identified. Along with this result, it is thought that classification and selection of genetic resources for various purposes will be possible through additional investigations such as analysis of components and antioxidant activity. Moreover, it is judged that such results can be used as basic data for breeding new water dropwort cultivars in the future.

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River Water Level Prediction Method based on LSTM Neural Network

  • Le, Xuan Hien;Lee, Giha
    • Proceedings of the Korea Water Resources Association Conference
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    • 2018.05a
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    • pp.147-147
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    • 2018
  • In this article, we use an open source software library: TensorFlow, developed for the purposes of conducting very complex machine learning and deep neural network applications. However, the system is general enough to be applicable in a wide variety of other domains as well. The proposed model based on a deep neural network model, LSTM (Long Short-Term Memory) to predict the river water level at Okcheon Station of the Guem River without utilization of rainfall - forecast information. For LSTM modeling, the input data is hourly water level data for 15 years from 2002 to 2016 at 4 stations includes 3 upstream stations (Sutong, Hotan, and Songcheon) and the forecasting-target station (Okcheon). The data are subdivided into three purposes: a training data set, a testing data set and a validation data set. The model was formulated to predict Okcheon Station water level for many cases from 3 hours to 12 hours of lead time. Although the model does not require many input data such as climate, geography, land-use for rainfall-runoff simulation, the prediction is very stable and reliable up to 9 hours of lead time with the Nash - Sutcliffe efficiency (NSE) is higher than 0.90 and the root mean square error (RMSE) is lower than 12cm. The result indicated that the method is able to produce the river water level time series and be applicable to the practical flood forecasting instead of hydrologic modeling approaches.

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Analyzing Soybean Growth Patterns in Open-Field Smart Agriculture under Different Irrigation and Cultivation Methods Using Drone-Based Vegetation Indices

  • Kyeong-Soo Jeong;Seung-Hwan Go;Kyeong-Kyu Lee;Jong-Hwa Park
    • Korean Journal of Remote Sensing
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    • v.40 no.1
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    • pp.45-56
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    • 2024
  • Faced with aging populations, declining resources, and limited agricultural productivity, rural areas in South Korea require innovative solutions. This study investigated the potential of drone-based vegetation indices (VIs) to analyze soybean growth patterns in open-field smart agriculture in Goesan-gun, Chungbuk Province, South Korea. We monitored multi-seasonal normalized difference vegetation index (NDVI) and the normalized difference red edge (NDRE) data for three soybean lots with different irrigation methods (subsurface drainage, conventional, subsurface drip irrigation) using drone remote sensing. Combining NDVI (photosynthetically active biomass, PAB) and NDRE (chlorophyll) offered a comprehensive analysis of soybean growth, capturing both overall health and stress responses. Our analysis revealed distinct growth patterns for each lot. LotA(subsurface drainage) displayed early vigor and efficient resource utilization (peaking at NDVI 0.971 and NDRE 0.686), likely due to the drainage system. Lot B (conventional cultivation) showed slower growth and potential limitations (peaking at NDVI 0.963 and NDRE 0.681), suggesting resource constraints or stress. Lot C (subsurface drip irrigation) exhibited rapid initial growth but faced later resource limitations(peaking at NDVI 0.970 and NDRE 0.695). By monitoring NDVI and NDRE variations, farmers can gain valuable insights to optimize resource allocation (reducing costs and environmental impact), improve crop yield and quality (maximizing yield potential), and address rural challenges in South Korea. This study demonstrates the promise of drone-based VIs for revitalizing open-field agriculture, boosting farm income, and attracting young talent, ultimately contributing to a more sustainable and prosperous future for rural communities. Further research integrating additional data and investigating physiological mechanisms can lead to even more effective management strategies and a deeper understanding of VI variations for optimized crop performance.

Trend Analysis of Medical Care Utilization among People with Autistic Spectrum Disorder Using National Health Insurance Data (자폐성장애인의 의료이용 경향분석 및 시사점 : 국민건강보험자료를 이용한 융복합적 접근)

  • Yun, Jieun;Kim, Hyun Joo
    • Journal of Digital Convergence
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    • v.16 no.11
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    • pp.411-418
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    • 2018
  • The purpose of this study was to estimate the current status and trends of healthcare utilization among people with ASD. Using National Health Insurance open database, from 2010 to 2017. We analyzed the treatment prevalence for people with ASD, the pattern of healthcare utilization, the difference in medical care utilization according to age, and the type and location of main medical institutions. The main results of the study are as follows: First, the medical utilization has been continuously increasing from 2010 to 2017. The total amount of medical utilization is increased by 50% in 2017 compared to 2010, and the treatment prevalence was estimated to be 79.1% in 2017 and medical uses for the next three years is also increasing. Second, the pattern of medical care utilization varied widely according to age, especially after 20 years of age. Third, the types of medical institutions that were mainly used were 45.6% in the medical clinic and 35.9% in Seoul. The results of this study can be used as a minimum reference point of evaluating the effectiveness of government policy on future autistic disorders. However, further studies are required to increase the prevalence of treatment for autistic patients and to find out the difference in medical use according to age.

A Study on the Meaning and Revitalization Strategy of Landscape Architecture in University Campus (대학 캠퍼스 조경의 의미와 활성화 방안에 관한 연구)

  • Kim, Jong-Pyo;Kim, Yong-Soo
    • Journal of the Korean Institute of Educational Facilities
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    • v.14 no.1
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    • pp.14-22
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    • 2007
  • This study is to examine the present situation relating to the works for landscape architecture in the universities of Korea with the aim of efficient landscape architecture in university campus and to provide the fundamental data of the logical and organized approach to the plans for campus landscape architecture. A survey of the staffs for landscape architecture in 20 national universities all over the country was carried out on the lot utilization ratio of each university, the development of landscape architecture department and its professionals in universities, the establishing status of the plans for landscape architecture of each university, and the satisfaction level of landscape architecture staffs. The results show that most universities pay a little attention to the whole campus landscape architecture according as they don't conduct the systematic works for landscape architecture and some which are done partially attach importance only to maintenance work such as simple controls of open space and trees. As a consequence, the active utilization of potential lot on campus and the organization of professionals and specialized teams for landscape architecture should be realized in order to make the works for campus landscape architecture effective. Besides, in policies, it is thought that the development of general plans and budgets for landscape architecture at the stage of establishing the medium-and long-tenn growth schemes of the universities is required.

Study On Receiving and Processing Method about Utilization of Near Real-time Satellite Data (준실시간 활용을 위한 위성자료 수신, 가공 방안 연구)

  • Kim, Soon Yeon;Jung, Young Sim;An, Joo Young;Park, Sang Hoon;Won, Young Jin
    • Proceedings of the Korea Water Resources Association Conference
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    • 2017.05a
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    • pp.467-467
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    • 2017
  • 토양수분 및 황사발생 연구에 있어 효율적인 광역 분석을 위하여 위성자료가 활용되고 있다. 활용 시나리오에 따라서는 준실시간 자료 수신, 처리가 필요하며 본 연구에서는 이에 대한 방안을 연구하기 위하여 유럽 EUMETSAT(European Organisation for the Exploitation of Meteorological Satellites)의 ASCAT(Advanced Scatterometer) Metop-A 자료에 대하여 파악하였다. 자료 수신 프로토콜에 있어서 FTP, HTTP 등 전통적 방법에 대한 현황과 함께 비교적 최근 기법인 OGC(Open Geospatial Consortium)  WMS(Web Map Service), WCS(Web Coverage Service) 방식의 지원 현황에 대하여 확인하였다. 제공되는 자료 Format부분은 EPS Native와 BUFR(Binary Universal Form for the Representation of meteorological data)을 살펴보되 데이터 프로바이더 측에서 대부분 채택되고 있는 NetCDF(network Common Data Form)를 중심으로 파악하였다. 수신된 자료의 처리 자동화를 위한 소프트웨어는 OSGeo(The Open Source Geospatial Foundation)의 GDAL(Geospatial Data Abstraction Library), 미국 NCAR(National Center for Atmospheric Research)의 NCL(NCAR Command Language)을 중심으로 확인하였다. 자료 가공기법은 격자(Raster) 자료에 대한 기본 메타정보 확인, 좌표참조체계 변환, 해상도 및 Format 변환을 중심으로 확인하였다. 한편 OGC WMS, WCS는 자료의 전송 프로토콜 기법이면서 동시에 서버 사이드에서의 자료 변환 기능을 구비하고 있다. 예를 들어 Http Request에서 영역(Extent), Format 형식, 좌표참조체계를 지정할 수 있다. OGC WMS에 대한 EUMETSAT 파일럿 서비스에서 반환 자료의 공간적 영역, 복수 시점 제공 현황, 반환 포맷 지원 상황은 실제 메서드를 사용하여 파악하였고, 향후 발전 방향을 전망하였다.

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Development of Nucleic Acid Lateral Flow Immunoassay for Rapid and Accurate Detection of Chikungunya Virus in Indonesia

  • Ajie, Mandala;Pascapurnama, Dyshelly Nurkartika;Prodjosoewojo, Susantina;Kusumawardani, Shinta;Djauhari, Hofiya;Handali, Sukwan;Alisjahbana, Bachti;Chaidir, Lidya
    • Journal of Microbiology and Biotechnology
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    • v.31 no.12
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    • pp.1716-1721
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    • 2021
  • Chikungunya fever is an arboviral disease caused by the Chikungunya virus (CHIKV). The disease has similar clinical manifestations with other acute febrile illnesses which complicates differential diagnosis in low-resource settings. We aimed to develop a rapid test for CHIKV detection based on the nucleic acid lateral flow immunoassay technology. The system consists of a primer set that recognizes the E1 region of the CHIKV genome and test strips in an enclosed cassette which are used to detect amplicons labeled with FITC/biotin. Amplification of the viral genome was done using open-source PCR, a low-cost open-source thermal cycler. Assay performance was evaluated using a panel of RNA isolated from patients' blood with confirmed CHIKV (n = 8) and dengue virus (n = 20) infection. The open-source PCR-NALFIA platform had a limit of detection of 10 RNA copies/ml. The assay had a sensitivity and specificity of 100% (95% CI: 67.56% - 100%) and 100% (95% CI: 83.89% - 100%), respectively, compared to reference standards of any positive virus culture on C6/36 cell lines and/or qRT-PCR. Further evaluation of its performance using a larger sample size may provide important data to extend its usefulness, especially its utilization in the peripheral healthcare facilities with scarce resources and outbreak situations.