• 대기
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• 제17권1호
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• pp.1-15
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• 2007

A constraint based on climatology is introduced to the cost function of the three-dimensional variational assimilation (3dVar) to correct the error of the zonal mean wind structure in the global data assimilation system at Korea Meteorological Administration (KMA). The revised cost function compels the analysis fit to the chosen climatology while keeping the balance between the variables in the course of analysis. The constraint varies selectively with the vertical level and the horizontal scale of the motion. The zonally averaged wind field from European Centre for Medium-Range Weather Forecasts Re-Analysis 40 (ERA-40) is used as a climatology field in the constraint. The constraint controls only the zonally averaged stratospheric long waves with total wave number less than 20 to fix the error of the large scale wind field in the stratosphere. The constrained 3dVar successfully suppresses the erroneous westerly in the stratospheric analysis promptly, and has been applied on the operational global 3dVar system at KMA.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2014년도 춘계 학술논문 발표대회
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• pp.44-45
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• 2014

Recently the Korean government also has strictly restricted a law such as GBCC(Green Building Certification Criteria)and RPS(Renewable Portfolio Standard) on the construction. Especially the government announced a obligation of renewable energy consumption over 12% for all the public buildings of total area over 1,000㎡ since 2014. Regarding to the policy, this study presented the economics of energy analysis of the public office buildings that supplies 12% renewable energy output in the early stage of construction project. This paper calculated on CO₂ emission by the geothermal, solar heat, and solar photovoltaic system and estimated the saving cost. Reduced cost through the energy saving are predicted to influence on the total construction cost. As a result air pollution and energy saving cost are expected that renewable energy system would be saving total initial cost of construction on planning phase.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2015년도 춘계학술대회
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• pp.754-755
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• 2015

컴퓨터의 보급과 인터넷의 대중화로 컴퓨터를 통한 작업은 물론 여가 시간이나 가정에서도 컴퓨터를 이용하는 시간이 늘고 있다. 이에 따라 컴퓨터를 오래 사용하여 생기는 질환인 컴퓨터시각증후군 (Computer Vision Syndrome: CVS)도 증가하는 추세이다. CVS 증후군으로 인한 안구건조증은 컴퓨터나 TV 등 모니터를 집중하여 주시하면 자기도 모르게 눈 깜빡임이 줄어들면서 눈물이 빠르게 증발되어 생기는 질환이다. 이를 예방하기 위해서는 눈의 건조를 막기 위해 눈을 자주 깜빡거려줘야 하며, 모니터와 눈은 40cm이상 거리를 유지해야 한다. 본 논문에서는 모니터의 웹캠을 이용하여 사용자의 모니터 근접거리, 사용자의 눈 깜빡임 정도를 실시간으로 감시한 후 적절한 알림을 주는 웹 캠모니터의 실시간 알림시스템의 개발 내용에 대해 기술한다.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제2권9호
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• pp.621-628
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• 2013

본 논문은 안드로이드 기반 상황 인지 스마트폰 애플리케이션들의 유기적인 결합을 위한 프레임워크에 관한 것이다. 스마트폰을 이용한 상황인지 시스템에는 콘텍스트 수집, 수집된 콘텍스트를 해석 및 추론한 하이레벨 콘텍스트, 그리고 사용자에게 직접적으로 서비스를 제공해주는 시스템 등이 있다. 기존의 안드로이드는 이러한 여러 독립된 모듈들을 통합하여 유기적으로 결합시킬 적절한 방법을 제시하지 못한다. 따라서 본 논문에서는 각 시스템을 컴포넌트화 하고, 각 컴포넌트가 필요한 서비스를 제공하며, 안드로이드 플랫폼을 감추는 방식으로 유기적인 결합을 위한 복잡도를 최소화시켜 개발자에게 편의를 제공하는 프레임워크를 제안한다.

• 정보보호학회논문지
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• 제27권6호
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• pp.1385-1395
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• 2017

본 논문에서는 정상과 이상 트래픽이 불균형적으로 발생하는 상황에서 기계 학습 기반의 효과적인 침입 탐지 시스템에 관한 연구 결과를 소개한다. 훈련 데이터의 패턴을 학습하여 정상/이상 패킷을 탐지하는 기계 학습 기반의 IDS에서는 훈련 데이터의 클래스 불균형 정도에 따라 탐지 성능이 현저히 차이가 날 수 있으나, IDS 개발 시 이러한 문제에 대한 고려는 부족한 실정이다. 클래스 불균형 데이터가 발생하는 환경에서도 우수한 탐지 성능을 제공하는 기계 학습 알고리즘을 선정하기 위하여, 본 논문에서는 Kyoto 2006+ 데이터셋을 이용하여 정상 대 침입 클래스 비율이 서로 다른 클래스 불균형 훈련 데이터를 구축하고 다양한 기계 학습 알고리즘의 인식 성능을 분석하였다. 실험 결과, 대부분의 지도 학습 알고리즘이 좋은 성능을 보인 가운데, Random Forest 알고리즘이 다양한 실험 환경에서 최고의 성능을 보였다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2017년도 추계학술대회
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• pp.219-222
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• 2017

본 연구에서는 음성 사용자 인터페이스가 적용된 시스템 사용 중 오류가 발생했을 때 제공되는 피드백이 시스템에 대한 사용자의 평가에 어떠한 영향을 줄 것인지에 대해 알아보았다. 피드백 유형(확인 피드백, 정교화 피드백)과 오류 유형(인식 실패, 수행 실패)을 독립 변수로 하고 사용자의 주관적 평가와 피드백 수용성, 향후 이용 의도를 종속 변수로 하는 요인설계 실험연구를 진행하였다. 이원 다변량 분산분석을 한 결과, 피드백 유형만 사용자의 주관적 평가와 피드백 수용성, 향후 이용의도에 영향을 미치는 것으로 나타났다. 또한, 피드백 수용성에 대해 피드백 유형과 오류 유형의 상호작용 효과가 발견되었다. 따라서 VUI 설계 시, 오류 정보를 자세히 알려주는 피드백을 제공하는 것을 고려해 볼 수 있을 것이다.

• Nuclear Engineering and Technology
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• 제49권5호
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• pp.941-952
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• 2017

Using the Generation of Thermal-Hydraulic Information for Containments (GOTHIC) code, thermal-hydraulic phenomena that occur inside the containment have been investigated, along with the preliminary design of the passive containment cooling system (PCCS) of an innovative pressurized water reactor (PWR). A GOTHIC containment model was constructed with reference to the design data of the Advanced Power Reactor 1400, and report related PCCS. The effects of the design parameters were evaluated for passive containment cooling tank (PCCT) geometry, PCCS heat exchanger (PCCX) location, and surface area. The analyzed results, obtained using the single PCCT, showed that repressurization and reheating phenomena had occurred. To resolve these problems, a coupled PCCT concept was suggested and was found to continually decrease the containment pressure and temperature without repressurization and reheating. If the installation level of the PCCX is higher than that of the PCCT, it may affect the PCCS performance. Additionally, it was confirmed that various means of increasing the external surface area of the PCCX, such as fins, could help improve the energy removal performance of the PCCS. To improve the PCCS design and investigate its performance, further studies are needed.

• International Journal of Advanced Culture Technology
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• 제9권3호
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• pp.352-359
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• 2021

The purpose of this study is to design and build fake news discrimination systems and methods using fact-checking guidelines. In other words, the main content of this study is the system for identifying fake news using Artificial Intelligence -based Fact-checking guidelines. Specifically planned guidelines are needed to determine fake news that is prevalent these days, and the purpose of these guidelines is fact-checking. Identifying fake news immediately after seeing a huge amount of news is inefficient in handling and ineffective in handling. For this reason, we would like to design a fake news identification system using the fact-checking guidelines to create guidelines based on pattern analysis against fake news and real news data. The model will monitor the fact-checking guideline model modeled to determine the Fact-checking target within the news article and news articles shared on social networking service sites. Through this, the model is reflected in the fact-checking guideline model by analyzing news monitoring devices that select suspicious news articles based on their user responses. The core of this research model is a fake news identification device that determines the authenticity of this suspected news article. So, we propose news article identification methods with fact-checking guideline on Artificial Intelligence & Bigdata. This study will help news subscribers determine news that is unclear in its authenticity.

• International journal of advanced smart convergence
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• 제10권3호
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• pp.122-130
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• 2021

This study is about an Artificial Intelligence-based fake news identification system and its methods to determine the authenticity of content distributed over the Internet. Among the news we encounter is news that an individual or organization intentionally writes something that is not true to achieve a particular purpose, so-called fake news. In this study, we intend to design a system that uses Artificial Intelligence techniques to identify fake content that exists within the news. The proposed identification model will propose a method of extracting multiple unit factors from the target content. Through this, attempts will be made to classify unit factors into different types. In addition, the design of the preprocessing process will be carried out to parse only the necessary information by analyzing the unit factor. Based on these results, we will design the part where the unit fact is analyzed using the deep learning prediction model as a predetermined unit. The model will also include a design for a database that determines the degree of fake news in the target content and stores the information in the identified unit factor through the analyzed unit factor.

• International journal of advanced smart convergence
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• 제12권3호
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• pp.149-156
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• 2023

Joint research on software, electronic engineering, computer engineering, and financial engineering and the use of ICT knowledge through network formation play an important role in strengthening science and technology-based innovation capabilities and facilitating the development and production process of products using new technologies. For the purpose of this study, I would like to strategically propose ICT specialized education in the 4th industrial revolution. To this end, the ICT specialization model, ICT specialization strategy analysis, and ICT specialization operation and effect were explored to establish ICT specialization strategies centered on software, electronic engineering, computer engineering, and financial engineering in the era of super-intelligence, hyper-connected, and hyper-convergence. Secondly, a roadmap for detailed promotion tasks related to efficient ICT characterization based on core strategies, detailed promotion tasks, and programs was proposed, focusing on talent related to ICT characterization. Thirdly, we would like to propose a reorganization of the academic structure and organization related to ICT characterization. Finally, we would like to propose the establishment of a future-oriented education system related to ICT specialization based on the advanced education and research environment.