• 한국인구학
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• 제16권1호
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• pp.37-58
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• 1993

• 한국인구학
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• 제13권2호
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• pp.56-66
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• 1990

• 식품과학과 산업
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• 제42권1호
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• pp.49-56
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• 2009

• 한국수학교육학회지시리즈D:수학교육연구
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• 제24권3호
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• pp.131-136
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• 2021

• 한국시뮬레이션학회논문지
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• 제26권2호
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• pp.41-49
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• 2017

무기체계 획득 프로그램에서 개념설계는 개발대상체계의 군사적 활용목적을 구체화하고, 이를 구현하기 위한 요구사항 수립 및 향후 개발방향을 결정하는 가장 중요한 단계이다. 하지만 미래 지상전투차량 또는 로봇의 개념설계 시 개발 경험 또는 문헌사례 부족, 등을 이유로 초기단계에서 요구사항과 개발방향을 잘못 수립할 경우 이는 향후단계에서 설계오류로 작용될 수 있다. 이는 획득 프로그램에서 위험으로 작용될 수 있으며, 이를 바로잡기 위해서는 비용, 노력, 기간이 요구된다. 미래지상전투차량을 효과적으로 획득하기 위해서는 초기 개발단계에서부터 발생하는 오류를 줄일 수 있는 방안이 필요하다. 본 논문은 이 오류를 줄이기 위해서 개념설계과정에서 수립된 요구사항과 설계방향의 물리적 실현 가능성을 체계 수준의 모델링과 시뮬레이션을 통해 검증하고, 이 시뮬레이션 결과를 활용해 가상의 체계성능을 도출하는 방안에 대해 기술한다. 체계 수준의 모델링 및 시뮬레이션은 최신 설계 기법인 모델기반설계와 형상기반설계 도구를 활용하며, 체계성능은 체계 수준 물리적 모델링 및 시뮬레이션 결과와 기존의 체계 성능분석 전문소프트웨어 연계를 통해 도출된다.

• 대한간호학회지
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• 제36권4호
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• pp.612-620
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• 2006

Purpose. Smoking is the leading cause of death and smoking initiation rarely occurs after adolescence. Thus research on adolescent smoking is crucial. A consistent definition of smoking is important because inconsistent definitions make comparisons across studies an arduous task. Thus, the aim of the study was to suggest future research directions for smoking definitions after examining pitfalls in the literature. Methods. In this study the literature on adolescent smoking in the U.S. and South Korea was examined, and three types of smoking definitions were identified. Limitations in the studies are identified and future research directions are suggested. Results. In the U.S. literature, smoking definitions can be categorized into three groups: definitions based on stage models, smoking trajectories, and definitions derived from specific data. In the South Korean literature, various levels of smoking have not been differentiated. Conclusions. While the literature does not provide a definitive answer regarding the definition of smoking, it suggests three issues to consider for future research. First, multiple measures of smoking are more desirable than a one-time measure. Second, theory- or trajectory-based smoking definitions are more desirable than definitions derived from available data. Finally, regularity and amount of cigarette use should be incorporated in defining smoking behavior.

• 과학교육연구지
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• 제39권1호
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• pp.80-87
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• 2015

해양과 인간의 상호 관계에 대한 이해로 정의되는 해양적 소양은 지구의 지속가능성에 매우 중요한 요소이다. 따라서 해양적 소양은 북미와 유럽의 해양교육에 새로운 패러다임으로 자리매김 하고 있다. 이러한 움직임을 반영하여 한국의 해양교육은 그 정체성을 확인하고 방향성을 설정하기 위한 논의가 매우 중요하다. 본 연구는 북미와 한국의 해양교육을 학교기반과 사회기반 해양교육으로 나누어 현황을 살펴본 뒤, 한국해양교육의 정체성과 관련하여 한국해양교육의 정의와 목적을 제시한다. 또한 한국 해양교육의 방향에 대해 다섯 가지 과제를 담고 있다.

• Toxicological Research
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• 제35권4호
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• pp.319-330
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• 2019

Adverse drug reactions (ADRs) constitute key factors in determining successful medication therapy in clinical situations. Integrative analysis of electronic medical record (EMR) data and use of proper analytical tools are requisite to conduct retrospective surveillance of clinical decisions on medications. Thus, we suggest that electronic medical recording and human genetic databases are considered together in future directions of pharmacovigilance. We analyzed EMR-based ADR studies indexed on PubMed during the period from 2005 to 2017 and retrospectively acquired 1161 (29.6%) articles describing drug-induced adverse reactions (e.g., liver, kidney, nervous system, immune system, and inflammatory responses). Of them, only 102 (8.79%) articles contained useful information to detect or predict ADRs in the context of clinical medication alerts. Since insufficiency of EMR datasets and their improper analyses may provide false warnings on clinical decision, efforts should be made to overcome possible problems on data-mining, analysis, statistics, and standardization. Thus, we address the characteristics and limitations on retrospective EMR database studies in hospital settings. Since gene expression and genetic variations among individuals impact ADRs, pharmacokinetics, and pharmacodynamics, appropriate paths for pharmacovigilance may be optimized using suitable databases available in public domain (e.g., genome-wide association studies (GWAS), non-coding RNAs, microRNAs, proteomics, and genetic variations), novel targets, and biomarkers. These efforts with new validated biomarker analyses would be of help to repurpose clinical and translational research infrastructure and ultimately future personalized therapy considering ADRs.

• 한국환경보건학회지
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• 제48권3호
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• pp.131-137
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• 2022

Public interest has been increasing the focus on the management of exposure to pollutants and the related health effects. This study reviewed exposure assessment methodologies and addressed future directions. Exposure can be assessed by direct (exposure monitoring) or indirect approaches (exposure modelling). Exposure modelling is a cost-effective tool to assess exposure among individuals, but direct personal monitoring provides more accurate exposure data. There are several population exposure models: stochastic human exposure and dose simulation (SHEDS), air pollutants exposure (APEX), and air pollution exposure distributions within adult urban population in Europe (EXPOLIS). A South Korean population exposure model is needed since the resolution of ambient concentrations and time-activity patterns are country specific. Population exposure models could be useful to find the association between exposure to pollutants and adverse health effects in epidemiologic studies. With the advancement of sensor technology and the internet of things (IoT), exposure assessment could be applied in a real-time surveillance system. In the future, environmental health services will be useful to protect and promote human health from exposure to pollutants.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2023년도 춘계학술발표대회
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• pp.748-750
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• 2023

Facial expression recognition technology's rapid growth and development have garnered significant attention in recent years. This technology holds immense potential for various applications, making it crucial to stay up-to-date with the latest trends and advancements. Simultaneously, it is essential to identify and address the challenges that impede the technology's progress. Motivated by these factors, this study aims to understand the latest trends, future directions, and challenges in facial expression recognition technology by utilizing text mining to analyze papers published between 2020 and 2023. Our research focuses on discerning which aspects of these papers provide valuable insights into the field's recent developments and issues. By doing so, we aim to present the information in an accessible and engaging manner for readers, enabling them to understand the current state and future potential of facial expression recognition technology. Ultimately, our study seeks to contribute to the ongoing dialogue and facilitate further advancements in this rapidly evolving field.