• 제목/요약/키워드: Background Update

검색결과 102건 처리시간 0.027초

Phenological growth stages of Korean ginseng (Panax ginseng) according to the extended BBCH scale

  • Kim, Yun-Soo;Park, Chol-Soo;Lee, Dong-Yun;Lee, Joon-Soo;Lee, Seung-Hwan;In, Jun-Gyo;Hong, Tae-Kyun
    • Journal of Ginseng Research
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    • 제45권4호
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    • pp.527-534
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    • 2021
  • Background: Phenological studies are a prerequisite for accomplishing higher productivity and better crop quality in cultivated plants. However, there are no phenological studies on Panax ginseng that improve its production yield. This study aims to redefine the phenological growth stages of P. ginseng based on the existing Biologische Bundesanstalt, Bundessortenamt und Chemische Industrie (BBCH) scale and proposes a disease control reference. Methods: This study was conducted at the Korea Ginseng Corporation Experiment Station in Gyeonggi province, South Korea. Phenological observations were performed once weekly or twice monthly, based on the developmental stages. The existing BBCH scale with a three-digit code was used to redefine and update P. ginseng's phenological growth codes. Results: The phenological description is divided into eight principal growth stages: three for vegetative growth (perennating bud, aerial shoot, and root development), four for reproductive growth (reproductive organ development, flowering, fruit development, and fruit maturation), and one for senescence according to the extended BBCH scale. A total of 58 secondary growth stages were described within the eight principal growth stages. Under each secondary growth stage, four mesostages are also taken into account, which contains the distinct patterns of the phenological characteristics in ginseng varieties and the process of transplanting seedlings. A practical management program for disease control was also proposed by using the BBCH code and the phenological data proposed in this work. Conclusion: The study introduces an extended BBCH scale for the phenological research of P. ginseng.

A multi-layer approach to DN 50 electric valve fault diagnosis using shallow-deep intelligent models

  • Liu, Yong-kuo;Zhou, Wen;Ayodeji, Abiodun;Zhou, Xin-qiu;Peng, Min-jun;Chao, Nan
    • Nuclear Engineering and Technology
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    • 제53권1호
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    • pp.148-163
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    • 2021
  • Timely fault identification is important for safe and reliable operation of the electric valve system. Many research works have utilized different data-driven approach for fault diagnosis in complex systems. However, they do not consider specific characteristics of critical control components such as electric valves. This work presents an integrated shallow-deep fault diagnostic model, developed based on signals extracted from DN50 electric valve. First, the local optimal issue of particle swarm optimization algorithm is solved by optimizing the weight search capability, the particle speed, and position update strategy. Then, to develop a shallow diagnostic model, the modified particle swarm algorithm is combined with support vector machine to form a hybrid improved particle swarm-support vector machine (IPs-SVM). To decouple the influence of the background noise, the wavelet packet transform method is used to reconstruct the vibration signal. Thereafter, the IPs-SVM is used to classify phase imbalance and damaged valve faults, and the performance was evaluated against other models developed using the conventional SVM and particle swarm optimized SVM. Secondly, three different deep belief network (DBN) models are developed, using different acoustic signal structures: raw signal, wavelet transformed signal and time-series (sequential) signal. The models are developed to estimate internal leakage sizes in the electric valve. The predictive performance of the DBN and the evaluation results of the proposed IPs-SVM are also presented in this paper.

기상청 전지구 해양자료동화시스템 2(GODAPS2): 운영체계 및 개선사항 (Global Ocean Data Assimilation and Prediction System 2 in KMA: Operational System and Improvements)

  • 박형식;이조한;이상민;황승언;부경온
    • 대기
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    • 제33권4호
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    • pp.423-440
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    • 2023
  • The updated version of Global Ocean Data Assimilation and Prediction System (GODAPS) in the NIMS/KMA (National Institute of Meteorological Sciences/Korea Meteorological Administration), which has been in operation since December 2021, is being introduced. This technical note on GODAPS2 describes main progress and updates to the previous version of GODAPS, a software tool for the operating system, and its improvements. GODAPS2 is based on Forecasting Ocean Assimilation Model (FOAM) vn14.1, instead of previous version, FOAM vn13. The southern limit of the model domain has been extended from 77°S to 85°S, allowing the modelling of the circulation under ice shelves in Antarctica. The adoption of non-linear free surface and variable volume layers, the update of vertical mixing parameterization, and the adjustment of isopycnal diffusion coefficient for the ocean model decrease the model biases. For the sea-ice model, four vertical ice layers and an additional snow layer on top of the ice layers are being used instead of previous single ice and snow layers. The changes for data assimilation include the updated treatment for background error covariance, a newly added bias scheme combined with observation bias, the application of a new bias correction for sea level anomaly, an extension of the assimilation window from 1 day to 2 days, and separate assimilations for ocean and sea-ice. For comparison, we present the difference between GODAPS and GODAPS2. The verification results show that GODAPS2 yields an overall improved simulation compared to GODAPS.

Association of added sugar intake with all-cause and cardiovascular disease mortality: a systematic review of cohort studies

  • Song, SuJin;Shim, Jae Eun;Song, YoonJu
    • Nutrition Research and Practice
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    • 제16권sup1호
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    • pp.21-36
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    • 2022
  • BACKGROUND/OBJECTIVES: The long-term health impacts of dietary sugar have begun to be reported. The committee on the 2020 Dietary Reference Intakes for Koreans for sugar intended to update the scientific evidence on the association of added sugar intake with health outcomes, including mortality. This study evaluated the evidence on the association of dietary sugar with the all-cause and cardiovascular disease mortality from cohort studies. SUBJECTS/METHODS: The PubMed and ScienceDirect databases were searched until July 2021. The search terms were based on multiple combinations of keywords, such as added sugar, beverage, and mortality, included in the title or abstract. Two authors independently assessed the eligibility criteria of study selection and extracted the information from each selected article for this systematic review. RESULTS: The literature search identified 276 articles. Seventeen cohort studies met the inclusion criteria and were included in this systematic review. This study extracted information on the cohort and participants, dietary assessment methods, exposure and its comparison groups, health outcomes, and risk measures. Five articles reported added sugar intake, and 15 articles reported the food sources of the added sugar in the association with mortality. Increased mortality was observed in higher added sugar intake and a lower intake of less than 5% of energy, while higher discrepancies between gender, age groups, and countries were noted. In addition, nutritious sugary foods and beverages did not increase mortality. CONCLUSIONS: A 'U' or 'J' shaped relationship between the added sugar intake and mortality was estimated. The observed discrepancy indicated the need for more evidence to establish the dose-response relationship for Koreans.

2021년 자살 관련 지표들과 추이 (Suicide Related Indicators and Trends in Korea in 2021)

  • 김현규;허경덕;김승훈;박은철;장성인
    • 보건행정학회지
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    • 제33권2호
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    • pp.194-292
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    • 2023
  • Background: This study aimed to update suicide-related indicators, including the number of suicidal deaths, suicide rate, and the prevalence of suicidal ideation and suicide attempts. We observed trends in suicide-related indicators based on up-to-date information. Methods: This study used five data sources to evaluate the trends of suicide-related indicators: Statistics Korea (1983-2021), Korean Wealth Panel Study (KOWEPS, 2012-2021), and Korea Health Panel Survey (KHP, 2010-2013, 2016-2019), Korean National Health and Nutrition Examination (KNHANES, 2007-2013, 2015-2021), Korean Community Health Survey (KCHS, 2008-2009, 2013, 2017, 2021). Results: The suicide rate per 100,000 population increased from 25.7 in 2020 to 26.0 in 2021. The rates of suicidal ideation from recently available data were 4.28% (KNHANES, 2021), 6.52% (KCHS, 2021), 1.61% (KOWEPS) and 7.10% (KHP, 2019). The suicidal attempts rates were 0.46% (KNHANES, 2021) and 0.34% (KCHS, 2021). The annual percentage change (APC) of suicide rate showed that suicide rates increased in the younger population (APC=9.02% in <19 years, APC=5.13 in 20-39 years) although the rates decreased in the older population (APC=-3.37 in 60-79 years, APC=-2.25 in >80 years). Conclusion: The suicide rate and related indicators increased in 2021 compared to 2020. Thus, continuous observation and appropriate suicide prevention policies as well as studies about the factors that affected the increase in 2021 are needed.

새로운 비디오 자막 영역 검출 기법 (A new approach for overlay text detection from complex video scene)

  • 김원준;김창익
    • 방송공학회논문지
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    • 제13권4호
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    • pp.544-553
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    • 2008
  • 최근 영상 편집 기술의 발달과 더불어 시청자의 이해를 돕기 위해 인위적으로 자막을 삽입하는 경우가 늘고 있다. 인위적으로 삽입된 자막은 해당 장면의 내용이나 편집자의 의도를 잘 표현하고 있기 때문에 비디오 정보 검색(video information retrieval)이나 비디오 색인(video indexing)과 같은 응용에 유용하다. 기존의 자막 영역 추출 방법은 에지(edge), 색상(color), 텍스처(texture) 정보와 같은 하위 계층(low-level) 특징을 기반으로 하기 때문에 다양한 필체나 밝기 대비를 가진 자막이 동시에 나타나거나 복잡한 배경에 포함된 자막 영역의 경우 잘 검출하지 못한다. 이에 본 논문은 기존의 방법과는 전혀 다른 천이 영역 기반의 새로운 영상 내 자막 영역 검출 기법을 제안하고자 한다. 먼저, 영상 내 삽입된 글자 주변은 시청자에게 영상으로부터의 높이 감을 주기 위해 해당 글자와 다른 색으로 표현된다는 관찰 결과를 바탕으로 천이 지도를 생성한다. 생성된 천이 지도를 이용하여 후보 영역을 추출하고 상태 밀도 개념을 바탕으로 후보 영역 중에서 삽입된 자막 영역을 추출한다. 제안하는 알고리즘은 글자 색, 크기, 위치, 필체, 밝기 대비에 관계없이 적용이 가능하며, 다양한 언어에 관계없이 뛰어난 성능을 보인다. 또한, 프레임 간 자막 영역 업데이트를 통해 자막 영역 추출의 효율을 높였다. 다양한 영상에 대한 실험을 통해 제안하는 알고리즘이 효율적인 비디오 자막 영역 추출 방법임을 보이고자 한다.

『연라자내경도(煙蘿子內境圖)』와 『화타선생내조도(華佗先生內照圖)』의 비교 (Comparison of Yanluozi's and Huatuo's visceral figures)

  • 구인모;김학동;김기욱;이병욱
    • 대한한의학원전학회지
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    • 제28권4호
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    • pp.41-56
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    • 2015
  • Objectives : This research is aimed to compare the visceral figures published during the Song Dynasty, and to reveal the differences between anatomical and physiological knowledge in the presence of Taoist theoretical background and in its absence. It is also aimed to discuss the theoretical differences among existing medicines. Methods : First, we will find the commonalities and the differences in the drawings describing the internal organs of a human body in the two publications, and study what made such commonalities and differences and how they affected medical theories. Secondly, we will analyze and update the internal organ data specified in the two publications as it relates to the five viscera and six bowls. Finally, we will analyze the commonalities and the differences, and study the background and the significance of medical theories. Results & Conclusions : 1. The positions of the liver and the spleen in the drawing of the Yanluozi's and Huatuo's visceral figures are inverted in the drawing of the Huatuo's visceral figures. The positions of other internal organs are similar. 2. The section of the five viscera in the Yanluozi's and Huatuo's visceral figures describes the Taoist gods necessary to build up discipline by the means of meditation. 3. In the Zhutidian's visceral theory, a belly button is recognized as a very important organ for the activity of life. 4. In the Huatuo's visceral figures, the 'Zangzhen' generated from foods is described as the energy source for the vitality of the five viscera. 5. The Huatuo's visceral figures mentioned the functionality of a gall bladder and an Tripple Energizer, which was not mentioned in the Yanluozi's and Huatuo's visceral figures. 6. Both the "Yanluozi's and Huatuo's visceral figures" and the "Huatuo's visceral figures" specify that the moisture filtered through small intestines turns into urine.

통계학적 학습을 이용한 머리와 어깨선의 위치 찾기 (Localizing Head and Shoulder Line Using Statistical Learning)

  • 권무식
    • 한국통신학회논문지
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    • 제32권2C호
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    • pp.141-149
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    • 2007
  • 영상에서 사람의 머리위치를 찾는 문제에 있어서 어깨선 정보를 이용하는 것은 아주 유용하다. 영상에서 머리 외곽선과 어깨선의 형태는 일정한 변형을 유지하면서 같이 움직이므로 이를 ASM(Active Shape Model) 기법을 사용해서 통계적으로 모델링 할 수 있다. 그러나 ASM 모델은 국부적인 에지나 그래디언트에 의존하므로 배경 에지나 클러터 성분에 민감하다. 한편 AAM(Active Appearance Model) 모델은 텍스쳐 등을 이용하지만, 사람의 피부색, 머리색깔, 옷 색깔 등의 차이로 인해서 통계적인 학습방법을 쓰기가 어렵고, 전체 비디오에서 외모(Appearance)가 시간적으로 변한다. 따라서, 본 논문에서는 외모(Apperance) 모델을 변화에 따라 바꾸는 대신, 영상의 각 화소를 머리, 어깨, 배경으로 구분하는 분별적 외모 모델(discriminative appearance)를 사용한다. 실험을 통해서 제안된 방법이 기존의 기법에 비해서 포즈변화와 가려짐, 조명의 변화 등에 강인함을 보여준다. 또한 제안된 기법은 실시간으로 작동하는 장점 또한 가진다.

해리스 코너 검출기를 이용한 비디오 자막 영역 추출 (Text Region Extraction from Videos using the Harris Corner Detector)

  • 김원준;김창익
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제34권7호
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    • pp.646-654
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    • 2007
  • 최근 많은 TV 영상에서 시청자의 시각적 편의와 이해를 고려하여 자막을 삽입하는 경우가 늘어나고 있다. 본 논문에서는 자막을 비디오 내 하단부에 위치하는 인위적으로 추가된 글자 영역으로 정의한다. 이러한 자막 영역의 추출은 비디오 정보 검색(video information retrieval)이나 비디오 색인(video indexing)과 같은 응용에서 글자 추출을 위한 첫 단계로 널리 쓰인다. 기존의 자막 영역 추출은 자막의 색, 자막과 배경의 자기 대비, 에지(edge), 글자 필터 등을 이용한 방법을 사용하였다. 그러나 비디오 영상내 자막이 갖는 낮은 해상도와 복잡한 배경으로 인해 자막 추출에 어려움이 있다. 이에 본 논문은 코너검출기(corner detector)를 이용한 효율적인 비디오 자막 영역 추출 방법을 제안하고자 한다. 제안하는 알고리즘은 해리스 코너 검출기를 이용한 코너 맵 생성, 코너 밀도를 이용한 자막 영역 후보군 추출, 레이블링(labeling)을 이용한 최종 자막 영역 결정, 노이즈(noise) 제거 및 영역 채우기의 네 단계로 구성된다. 제안하는 알고리즘은 색 정보를 이용하지 않기 때문에 여러 가지 색으로 표현되는 자막 영역 추출에 적용가능하며 글자 모양이 아닌 글자의 코너를 이용하기 때문에 언어의 종류에 관계없이 사용 될 수 있다. 또한 프레임간 자막 영역 업데이트를 통해 자막 영역 추출의 효율을 높였다. 다양한 영상에 대한 실험을 통해 제안하는 알고리즘이 효율적인 비디오 자막 영역 추출 방법임을 보이고자 한다.

지난 22년간 한반도 이산화탄소 배경농도 재산정 연구 - WMO/GAW 척도 변경과 NIMS 온실가스 배경농도 산출기법을 중심으로 - (Revision of 22-year Records of Atmospheric Baseline CO2 in South Korea: Application of the WMO X2019 CO2 Scale and a New Baseline Selection Method (NIMS Filter))

  • 서원익;이해영;김연희
    • 대기
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    • 제31권5호
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    • pp.593-606
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    • 2021
  • The Korea Meteorological Administration/National Institute of Meteorological Sciences (KMA/NIMS) has monitored atmospheric CO2 at Anmyeondo (AMY) World Meteorological Organization (WMO) Global Atmosphere Watch Programme (GAW) regional station since 1999, and expanded its observations at Jeju Gosan Suwolbong station (JGS) in the South and at Ulleungdo-Dokdo stations in the East (ULD and DOK) since 2012. Due to a recent WMO CO2 scale update and a new filter (NIMS) to select baseline levels at each station, the 22 years of CO2 data are recalculated. After correction for the new CO2 scale, we confirmed that those corrected records are reasonable within the compatibility goal (±0.1 ppm of CO2) between KMA/NIMS and National Oceanic and Atmosphereic Administration (NOAA) flask-air measurements with the new scale. With the new NIMS filter, CO2 baseline levels are now more representative of the large-scale background compared to previous values, which contained large CO2 enhancements. Atmospheric CO2 observed in South Korea is 4 to 8 ppm greater than the global average while the amplitude of seasonal variation is similar (10~13 ppm) to the amplitude averaged over a comparable latitude zone (30°N-60°N). Variations in CO2 growth rate are also similar, increasing and decreasing similar to global values, as it reflects the net balance between terrestrial respiration and photosynthesis. In 2020, atmospheric CO2 continued increasing despite the COVID-19 pandemic. Even though fossil emission was reduced (around -7% globally), we still emitted large amounts of anthropogenic CO2. Overall, since CO2 has large natural variations and its source was derived from not only fossil fuel but also biomass burning, the small fossil emission reduction could not affect the atmospheric level directly.