• Title/Summary/Keyword: 양성예측도

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STSAT-3 Operations Concept (과학기술위성 3호 운영개념)

  • Lee, Seung-Hun;Park, Jong-Oh;Rhee, Seung-Wu;Jung, Tae-Jin;Lee, Dae-Hee;Lee, Joon-Ho
    • Aerospace Engineering and Technology
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    • v.10 no.2
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    • pp.29-36
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    • 2011
  • The Science and Technology Satellite-3 (STSAT-3) is based on the KITSAT-1, 2, 3 and STSAT-1, 2 which were Korea micro-satellites for the mission of space and earth science. The objectives of the STSAT-3 are to support earth and space sciences in parallel with the demonstration of spacecraft technology. The STSAT-3 carries an infrared (IR) camera for space & earth observation and an imaging spectrometer for earth observation. The IR payload instrument of the STSAT-3, Multi-purpose Infrared Imaging System (MIRIS), will observe the Galactic plane and North/South Ecliptic poles to research the origin of universe. The secondary payload instrument, Compact Imaging Spectrometer (COMIS), images the Earth's surface. The data acquired from COMIS are expected to be used for various application fields such as monitoring of disaster management, water quality studies, and farmland assessment. In this paper we present the operations concept of STSAT-3 which will be launched into a sun-synchronous orbit at a nominal altitude of 600km in late 2012.

Analysis of runoff characteristics on Hwabuk watershed in Jeju Island (제주도 화북천 유역의 유출특성 해석)

  • Jung, Woo-Yeol;Yang, Sung-Kee;Kim, Dong-Su;Ko, Seong-Yong
    • Proceedings of the Korea Water Resources Association Conference
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    • 2012.05a
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    • pp.929-929
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    • 2012
  • 제주도는 연평균 강우량이 1,975mm에 달하는 우리나라 최다우 지역이지만 하천은 주로 한라산 정상을 중심으로 남 북사면 방향으로 급한 경사를 이루며 발달하고 있으며 하천연장은 대부분 15km 내외로 내륙지역의 하천에 비하여 매우 짧은 특성을 보이고 있다. 투수성이 높은 지질학적 특성으로 인하여 집중 호우시 짧은 기간 동안만 유출이 발생하고 평상시 대부분의 하천은 건천의 상태로 유지되고 있다. 향후 기후변화에 의하여 강우량 및 강우강도의 증가로 인한 강우패턴 변화로 집중호우 및 강력한 태풍의 가능성이 지속적으로 증가할 것으로 예측되고 있으나 제주도에서는 기초 수문자료의 확보조차 어려운 실정이며 강우사상에 따른 하천유출 특성 해석 연구는 거의 전무한 실정이다. 본 연구에서는 제주도 도심부에 위치한 화북천 유역을 대상으로 SWAT 모델 및 WMS(HEC-HMS) 모델을 이용하여 장단기 강우에 따른 유출 특성을 해석하고자 한다. 유역 내 수문 기상 자료는 기상청 관할 AWS 및 기상관측지점 자료를 수집하여 사용하였으며 DEM(미국 USGS), 토지피복도(국가수자원 종합정보시스템), 토양통도(농업과학기술원)의 자료를 각각 구축하여 모델의 입력자료로 사용하였다. 또한 제주특별자치도 수자원본부에서 운영하는 화북천 하류지점의 실 관측자료를 이용하여 모델의 결과치를 검 보정 하였으며, 모의결과의 적합성을 판단하기 위하여 상관계수의 제곱( ), 평균 제곱근 오차(RMSE), 모형 효율성계수(ME)를 이용하였다. 모델링 기법을 이용하여 장기간(2008.1.1~2010.12.31) 동안의 유출량을 산정한 결과 2008년에는 전체 유역 평균 강우량 중에서 5.66%가 유출되었으며, 2009년도에는 3.47%, 2010년도에는 8.12%가 유출되었다. 화북천 유역은 단일강우 40~50mm 발생시에도 유출은 발생하지 않으나 선행강우가 발생시에는 20mm의 강우에도 반응을 하고 50mm 이상에서 급격한 유출이 발생하는 특징을 도출하였다. 향후 유역 내의 많은 실측 유출량 관측자료를 구축하고 모델 개선을 통하여 모델링 기법을 적용한다면 보다 정밀한 하천유출량 산정 및 유출특성 해석이 가능할 것으로 판단된다.

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The Case Study of Rock Treatment Method for the Fractured Rock Foundation of Underground Roadway Structure (기반암의 파쇄대 특성을 고려한 지하차도 기초 보강사례)

  • Yoon, Ji-Nam;Yang, Sung-Don;Lee, Geun-Ha;Park, Sa-Won;Jung, Hun-Chul
    • Tunnel and Underground Space
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    • v.18 no.2
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    • pp.125-133
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    • 2008
  • The rock treatment methods for improving bearing capacity and reducing settlement of the underground roadway structure foundation on fractured rock was studied in this paper. Also, effective reinforcement scheme was evaluated by numerical analysis for the application to the practical construction. Various in-situ and laboratory tests were executed systematically at Yeongi-goon, Ohoongchungnam-do, Korea, for the purpose of defining the physical and mechanical properties of rock. Consequently the effective treatment methods insuring the bearing capacity of fractured rock were proposed. In addition, the adequate reinforcing depth of the comparatives measure, such as double rod, triple rod injection methods and micropile, were investigated from the case study. Finally, the most effective construction scheme with the consideration of safety and economical aspects were proposed by using numerical analysis(Plaxis ver. 8.2).

Trend and Political Implications of Container Shipping Industry Before and After COVID-19 Pandemic (COVID-19 판데믹 전후의 컨테이너해운업 동향분석과 해운재건을 위한 정책 방향 제언)

  • Lee, Tae-Hwee
    • Journal of Korea Port Economic Association
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    • v.37 no.2
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    • pp.19-31
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    • 2021
  • This study is aming at analysing the current trend of container shipping industry before and after COVID-19 Pandemic circumstances. Also, this study offers the political implications for 'the Korean Shipping Nation Rebuilding'. As a result of this study, the several global shipping lines have decreased their ship capacity in response to International Maritime Organization(IMO)'s environmental regulation. This finding is differ from the media reports, that is many shipping companies increased idling vessel to match the lower demand induced COVID-19 pandemic. This study also provides the two implications of the direction about Korean shipping policy. The first one is that the casual relationship of over-vessels' supply and Korea shipping policy is needed to be thoroughly analyzed. The importance of Koreans shipping industry is generally devaluated by most citizens so as to the Korean government should develop the mass media contents to enlighten the less wellknown people regarding shipping industry.

Development on e-Learning Standard Technology Frameworks of Digital Convergence for Smart Society (스마트사회의 디지털융복합 이러닝 표준기술 프레임워크 개발)

  • Han, Tae-In
    • Journal of Digital Convergence
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    • v.16 no.11
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    • pp.159-166
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    • 2018
  • The ICT convergence and intelligence information technology has many influences on the whole smart society in the $4^{th}$ industrial revolution era. However, preparations degree of our country is not high as for the intelligence information technology. It is not easy to adopt a new technology on education for cultivating the creative future human resources to match a pace with intelligent smart society. In addition, it is hard work to find and derive the appropriate technology for education because proper and effective proof includes much difficulties. Therefore, this study develop the e-learning standard technology framework through the derivation of educational standard technology element and the suggestion of medium and long term standardization framework for the intelligence information society.

DDoS traffic analysis using decision tree according by feature of traffic flow (트래픽 속성 개수를 고려한 의사 결정 트리 DDoS 기반 분석)

  • Jin, Min-Woo;Youm, Sung-Kwan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.1
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    • pp.69-74
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    • 2021
  • Internet access is also increasing as online activities increase due to the influence of Corona 19. However, network attacks are also diversifying by malicious users, and DDoS among the attacks are increasing year by year. These attacks are detected by intrusion detection systems and can be prevented at an early stage. Various data sets are used to verify intrusion detection algorithms, but in this paper, CICIDS2017, the latest traffic, is used. DDoS attack traffic was analyzed using the decision tree. In this paper, we analyzed the traffic by using the decision tree. Through the analysis, a decisive feature was found, and the accuracy of the decisive feature was confirmed by proceeding the decision tree to prove the accuracy of detection. And the contents of false positive and false negative traffic were analyzed. As a result, learning the feature and the two features showed that the accuracy was 98% and 99.8% respectively.

Future Tactical Communication System Development Plan (미래 전술통신체계의 발전 방안)

  • Kim, Junseob;Park, Sangjun;Cha, Jinho;Kim, Yongchul
    • Journal of Convergence for Information Technology
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    • v.11 no.6
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    • pp.14-23
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    • 2021
  • The Army is making efforts to increase combat power by incorporating technologies related to the Fourth Industrial Revolution into the field of defense. In order to utilize these technologies, it is necessary to develop a military tactical communication system that enables transmission and reception of data between command and control system and weapon systems. Therefore, in this paper, we analyze the tactical communication systems of the other countries, derive the limitations of the tactical communication system currently operating in the military. And, a multi-layered integrated operation structure centered on satellites and plans to provide communication on the move to small units are reviewed. Then, we present the necessity of a large-capacity transmission speed by predicting the amount of data that will be generated from weapon systems of the future, and a plan to efficiently manage the network using intelligent network technology.

Future Scenarios of Arts and Culture Content with Artificial Intelligence Development (인공지능 발전에 따른 문화예술콘텐츠의 미래 시나리오)

  • Ko, Jeong-min;Jeong, Yu-na
    • Journal of Digital Convergence
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    • v.18 no.12
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    • pp.47-57
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    • 2020
  • This paper aims to show the development pattern of the impact of artificial intelligence on the arts and culture according to the scenario analysis, and suggests the direction of the arts and culture content industry in the future. We assume four scenarios based on creativity of artificial intelligence beyond humans and controllability for them, then explore the path leading to each scenario. In addition, for the most ideal route to coexist with artificial intelligence, we propose the provision of safety system for human and artificial intelligence, innovation of the education system, and preemptive investment from now on.

Prediction of pathogen positive-culture results in acute poisoning patients with suspected aspiration (흡인이 의심되는 급성 중독환자에서 병원균 양성 배양 결과의 예측)

  • Baek Sungha;Park Sungwook
    • Journal of The Korean Society of Clinical Toxicology
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    • v.20 no.2
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    • pp.75-81
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    • 2022
  • Purpose: This study sought to compare the characteristics of patients with pathogen-positive and negative cultures, and to investigate factors predicting pathogen-positive culture results in patients of acute poisoning with suspected aspiration. Methods: Consecutive patients with acute poisoning admitted to an intensive care unit between January 2016 and December 2018 were retrospectively studied. Respiratory specimens were collected from the enrolled patients at the time of the suspected aspiration. We compared the characteristics of patients with pathogen-positive and negative culture results and analyzed the causative pathogens. Results: Among the 526 patients, 325 showed no clinical features that could be attributed to aspiration, and 201 patients had clinical features suggestive of aspiration. Of these, 113 patients had pathogen-positive culture, 61 were negative, and the specimens of 27 patients contained poor-quality sputum. In univariate analysis, patients with a positive culture showed a longer time to culture from ingestion (p=0.01), faster heart rate (p=0.01), and higher partial pressure of arterial oxygen to the fraction of inspired oxygen (PaO2/FiO2) (p=0.02) than patients with negative culture. Multivariate analysis demonstrated that PaO2/FiO2 (adjusted odd ratio, 1.005; 95% confidence interval [CI], 1.002-1.008; p=0.005) was a significant risk factor for pathogen-positive culture. The area under the receiver operating characteristic curve of PaO2/FiO2 was 0.591 (95% CI, 0.510-0.669, p=0.05). Gram-negative pathogens (GNPs) were predominant and at least one GNP was observed in 84 (73.3%) patients among those with pathogen positive culture. Conclusion: We failed to find any clinical factors associated with positive culture results. Antibiotics that cover GNPs could be considered when deciding the initial antibiotic regimen at the time of suspected aspiration.

A Study on Implications of AI Education Policy using Keyword Analysis (키워드 분석을 활용한 인공지능 교육 정책의 시사점 연구)

  • Jaeho Lee;Hongwon Jeong
    • Journal of The Korean Association of Information Education
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    • v.26 no.5
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    • pp.397-406
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    • 2022
  • In this study, We confirmed the three major policy directions presented in "Educational Policy Direction and Core Tasks in the Age of Artificial Intelligence" announced by the government in 2020, and analyzed how the direction and key tasks are reflected in the policy from keywords selected from government policy data related to artificial intelligence education published between '20 and '22. It was extracted and analyzed how the direction and key tasks are reflected in the policy. As a result of text mining and the topic analysis, the direction of education set was analyzed and various types of activities for nurturing talents in the field of artificial intelligence were confirmed. Ultimately, the government's policy direction is to apply the '25 revised curriculum in earnest, while advancing and activating the AI education policy and allowing it to settle naturally in the field. It could be predicted that related policies and tasks would appear more and more.