• Title/Summary/Keyword: Amos

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The Effects of Participation of Lifelong Education Activities on the Self - Consciousness of the Elderly -Focused on Mediating Effect of Life Satisfaction and Volunteer Activity- (노인의 평생교육활동참여가 자아통합감에 미치는 영향 -삶의 만족도와 자원봉사활동의 매개검증을 중심으로-)

  • Ahn, Hwasoon;Moon, Jaewoo
    • The Journal of the Korea Contents Association
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    • v.18 no.5
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    • pp.592-599
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    • 2018
  • The purpose of this study is to examine whether the participation of lifelong learning activities of the elderly is a part of the self - The questionnaire consisted of 12 items of general characteristics, 5 items of lifelong education, 6 items of volunteer activity, 15 items of life satisfaction, and 10 items of self - integration. The subjects of this study were 300 elderly people aged 60 or older living in Seoul, Gyeonggi - do, and Incheon, and participated in lifelong educational institutions such as the elderly welfare center, elderly university, and ward. As a method of analysis, the structural equation model of AMOS 22.0 was applied. The results obtained by applying the structural equation analysis are as follows. First, general characteristics were tested and the reliability of the items was tested. The reliability of the items, predictability, accuracy, and validity were analyzed by principal component analysis. Second, the research hypothesis was verified by verifying the fit of measurement variables through participation factor of lifelong education, self - integration, life satisfaction, and voluntary service. Statistical analysis was performed using the SPSS WIN 22.0 and Amos 22.0 programs.

Gridding of Automatic Mountain Meteorology Observation Station (AMOS) Temperature Data Using Optimal Kriging with Lapse Rate Correction (기온감률 보정과 최적크리깅을 이용한 산악기상관측망 기온자료의 우리나라 500미터 격자화)

  • Youjeong Youn;Seoyeon Kim;Jonggu Kang;Yemin Jeong;Soyeon Choi;Yungyo Im;Youngmin Seo;Myoungsoo Won;Junghwa Chun;Kyungmin Kim;Keunchang Jang;Joongbin Lim;Yangwon Lee
    • Korean Journal of Remote Sensing
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    • v.39 no.5_1
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    • pp.715-727
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    • 2023
  • To provide detailed and appropriate meteorological information in mountainous areas, the Korea Forest Service has established an Automatic Mountain Meteorology Observation Station (AMOS) network in major mountainous regions since 2012, and 464 stations are currently operated. In this study, we proposed an optimal kriging technique with lapse rate correction to produce gridded temperature data suitable for Korean forests using AMOS point observations. First, the outliers of the AMOS temperature data were removed through statistical processing. Then, an optimized theoretical variogram, which best approximates the empirical variogram, was derived to perform the optimal kriging with lapse rate correction. A 500-meter resolution Kriging map for temperature was created to reflect the elevation variations in Korean mountainous terrain. A blind evaluation of the method using a spatially unbiased validation sample showed a correlation coefficient of 0.899 to 0.953 and an error of 0.933 to 1.230℃, indicating a slight accuracy improvement compared to regular kriging without lapse rate correction. However, the critical advantage of the proposed method is that it can appropriately represent the complex terrain of Korean forests, such as local variations in mountainous areas and coastal forests in Gangwon province and topographical differences in Jirisan and Naejangsan and their surrounding forests.

Efficacy of rifampin and streptomycin in Sprague-Dawley ratsinfected with Brucella abortus (Brucella abortus 감염 흰쥐에서의 rifaampin과 streptomycin의 치료효과)

  • Baek, Byeong-Kirl;Choi, Chun-ki;Lim, Chae-woong;Lee, John-hwa;Kim, Byeong-Soo;Lee, Sung-il;Hur, Jin;Ibulaimu, Kakoma
    • Korean Journal of Veterinary Research
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    • v.44 no.3
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    • pp.433-439
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    • 2004
  • This study was carried out to investigate the efficacy of rifampin with or without streptomycin in male Sprague-Dawley (SD) rats experimentally inoculated with Brucella abortus. Thirty rats were intraperitoneally inoculated with $1.0{\times}10^9$colony-forming units of B. abortus. They were divided into 3 groups by treatment with antibiotic. 10 rats in Group A were orally administrated with rifampin, 10 rats in Group B with rifampin orally and with streptomycin intramuscularly over 12 weeks starting at 1 week post infection (PI). A placebo recipient in Group C was inoculated with sterile saline without antibiotics. All animals were monitored by tube agglutination test (TAT) and AMOS-PCR to evaluate the efficiency of the antibiotics to B. abortus infection. The antibody titers in Groups A, B and C were 1:400, 1:400 and 1:800 as measured by TAT at the first week PI, respectively. The antibody titer in Group A decreased to 1:100 by the 13th week PI. That in the control group was observed as high antibody titer until 13th weeks PI, but the antibody response in Group B was low(1:50) from the 5th week to the 13th week PI. AMOS-PCR there was evidence of relapse of B. abortus in group A in liver and spleen specimens at the 13th week PI. B. abortus DNA was detected in Group C in liver and spleen specimens from the 1st week to 13th week PI by AMOS-PCR. However AMOS-PCR could not detect any organism in Group B from the 3rd week PI until the end of the study. This study demonstrated that administration of a combination of rifampin and streptomycin was more efficacious than administration of rifampin alone. A significant reduction in antibody titer was observed when a combination of 15 mg/kg/day of rifampin per os and 15 mg/kg/day streptomycin intramuscularly was used in comparison with the antibody of control group.

Mountain Meteorology Data for Forest Disaster Prevention and Forest Management (산림재해 방지와 산림관리를 위한 산악기상정보)

  • Keunchang, Jang;Sunghyun, Min;Inhye, Kim;Junghwa, Chun;Myoungsoo, Won
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.24 no.4
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    • pp.346-352
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    • 2022
  • Mountain meteorology in South Korea that is covered mountains with complex terrain is important for understanding and managing the forest disaster and forest ecosystems. In particular, recent changes in dryness and/or rainfall intensity due to climate change may cause an increase in the possibility of forest disasters. Therefore, accurate monitoring of mountain meteorology is needed for efficient forest management. Korea Forest Service (KFS) is establishing the Automatic Mountain Meteorology Observation Stations (AMOS) in the mountain regions since 2012. 464 AMOSs are observing various meteorological variables such as air temperature, relative humidity, wind speed and direction, precipitation, soil temperature, and air pressure for every minute, which is conducted the quality control (QC) to retain data reliability. QC process includes the physical limit test, step test, internal consistency test, persistence test, climate range test, and median filter test. All of AMOS observations are open to use, which can be found from the Korean Mountain Meteorology Information System (KoMIS, http://mtweather.nifos.go.kr/) of the National Institute of Forest Science and the Public Data Portal (https://public.go.kr/). AMOS observations with guaranteed quality can be used in various forest fields including the public safety, forest recreation, forest leisure activities, etc., and can contribute to the advancement of forest science and technology. In this paper, a series of processes are introduced to collect and use the AMOS dataset in the mountain region in South Korea.

A Study on Optimal Site Selection for Automatic Mountain Meteorology Observation System (AMOS): the Case of Honam and Jeju Areas (최적의 산악기상관측망 적정위치 선정 연구 - 호남·제주 권역을 대상으로)

  • Yoon, Sukhee;Won, Myoungsoo;Jang, Keunchang
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.18 no.4
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    • pp.208-220
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    • 2016
  • Automatic Mountain Meteorology Observation System (AMOS) is an important ingredient for several climatological and forest disaster prediction studies. In this study, we select the optimal sites for AMOS in the mountain areas of Honam and Jeju in order to prevent forest disasters such as forest fires and landslides. So, this study used spatial dataset such as national forest map, forest roads, hiking trails and 30m DEM(Digital Elevation Model) as well as forest risk map(forest fire and landslide), national AWS information to extract optimal site selection of AMOS. Technical methods for optimal site selection of the AMOS was the firstly used multifractal model, IDW interpolation, spatial redundancy for 2.5km AWS buffering analysis, and 200m buffering analysis by using ArcGIS. Secondly, optimal sites selected by spatial analysis were estimated site accessibility, observatory environment of solar power and wireless communication through field survey. The threshold score for the final selection of the sites have to be higher than 70 points in the field assessment. In the result, a total of 159 polygons in national forest map were extracted by the spatial analysis and a total of 64 secondary candidate sites were selected for the ridge and the top of the area using Google Earth. Finally, a total of 26 optimal sites were selected by quantitative assessment based on field survey. Our selection criteria will serve for the establishment of the AMOS network for the best observations of weather conditions in the national forests. The effective observation network may enhance the mountain weather observations, which leads to accurate prediction of forest disasters.

An Analysis on Structural Relationship between CRS Technology Acceptance and Reuse Intention - Targeting Employees for Domestic Airlines - (CRS 기술수용과 재이용의도의 구조적 관계분석)

  • Lee, Sun-Mee;Hwang, Hee-Joong
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.19 no.2
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    • pp.29-30
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    • 2011
  • The purpose of this study is to closely examine relationship of the system re-use intention depending on CRS technology acceptance. Accordingly, questionnaire was widely distributed to 160 CRS users by convenient sampling targeting people in charge of task among employees for airlines and travel agencies, who are working-level staffs for CRS. Among these things, totally 142 valid materials were used in analysis. The analytical data processing was utilized SPSSWIN VER 18.0 and AMOS 18.0. The findings can be summarized as follows. Influential variables in CRS technology acceptance had significant influence upon the perceived ease use, the perceived usability, and the re-use intention. Also, the significant positive(+) influence was revealed to be had upon the perceived usability by the perceived ease use and upon the re-use intention by the perceived usability and ease use.