• Journal of the Korean Society for Industrial and Applied Mathematics
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• 제19권3호
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• pp.217-234
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• 2015

In this tutorial the theoretical background of LQ optimal guidance is reviewed, starting from calculus of variations. LQ optimal control is then introduced and applied to missile guidance to obtain the basic form of LQ optimal guidance laws. Extension of LQ optimal guidance methodology for handling weighted cost function, dynamic lag associated with the missile dynamics and the autopilot, constrained impact angle, and constrained impact time is also described with a brief discussion on the asymptotic properties of the optimal guidance laws. Furthermore, an introduction to polynomial guidance and generalized impactangle-control guidance, which are closed related with LQ optimal guidance, is provided to demonstrate the current status of missile guidance techniques.

• Translational and Clinical Pharmacology
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• 제26권3호
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• pp.115-117
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• 2018

This tutorial explains the basic principles of mechanistic ligand-receptor interaction model, which is an operational model of agonism. A growing number of agonist drugs, especially immune oncology drugs, is currently being developed. In this tutorial, time-dependent ordinary differential equation for simple $E_{max}$ operational model of agonism was derived step by step. The differential equation could be applied in a pharmacodynamic modeling software, such as NONMEM, for use in non-steady state experiments, in which experimental data are generated while the interaction between ligand and receptor changes over time. Making the most of the non-steady state experimental data would simplify the experimental processes, and furthermore allow us to identify more detailed kinetics of a potential drug. The operational model of agonism could be useful to predict the optimal dose for agonistic drugs from in vitro and in vivo animal pharmacology experiments at the very early phase of drug development.

• 지식경영연구
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• 제20권1호
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• pp.1-26
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• 2019

This tutorial introduces procedures and methods for performing structural equation modeling using R. For this, we present the whole process of analyzing the structural equations model from the confirmatory factor analysis to the path diagram generation using the lavaan package, which is relatively well evaluated among the R packages supporting the structural equation modeling, together with the R program codes. Considering that research applying structural equation modeling techniques is the mainstream in a variety of social sciences, including business administration, and that there is growing interest in open source R, this tutorial focuses on researchers who are looking for alternatives to traditional commercial statistical packages and is expected that it will be a useful guidebook for them.

• 지식경영연구
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• 제20권2호
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• pp.1-24
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• 2019

This tutorial introduces procedures and methods for performing structural equation modeling using R. To do this, we present advanced analysis methods based on structural equation model such as mediation effect analysis, moderation effect analysis, moderated mediation effect analysis, and multiple-group analysis with R program code using R lavaan package that supports structural equation modeling. R is flexible and scalable, unlike traditional commercial statistical packages. Therefore, new analytical techniques are likely to be implemented ahead of any other statistical package. From this point of view, R will be a very appropriate choice for applying new analytical techniques or advanced techniques that researchers need. Considering that various studies in the social sciences are applying structural equations modeling techniques and increasing interest in open source R, this tutorial is expected to be useful for researchers who are looking for alternatives to existing commercial statistical packages.

• Journal of Preventive Medicine and Public Health
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• 제55권2호
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• pp.116-124
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• 2022

Epidemiological studies typically examine the causal effect of exposure on a health outcome. Standardization is one of the most straightforward methods for estimating causal estimands. However, compared to inverse probability weighting, there is a lack of user-centric explanations for implementing standardization to estimate causal estimands. This paper explains the standardization method using basic R functions only and how it is linked to the R package stdReg, which can be used to implement the same procedure. We provide a step-by-step tutorial for estimating causal risk differences, causal risk ratios, and causal odds ratios based on standardization. We also discuss how to carry out subgroup analysis in detail.

• Journal of the Korean Statistical Society
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• 제30권2호
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• pp.291-325
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• 2001

The paper is a tutorial introduction to quantum information theory, developing the basic model and emphasizing the role of statistics and probability.

• 한국통신학회:학술대회논문집
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• 한국통신학회 2006년도 하계종합학술발표회 논문 초록집
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• pp.39-55
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• 2006

• 한국초전도학회:학술대회논문집
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• 한국초전도학회 2001년도 High Temperature Superconductivity Vol.XI
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• pp.14-14
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• 2001

• 한국진공학회:학술대회논문집
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• 한국진공학회 2011년도 제40회 동계학술대회 초록집
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• pp.4-4
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• 2011

In this tutorial, I will review a brief history of graphene research, summarize current research status, and discuss impacts on various fields in future.

• 컴퓨터교육학회논문지
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• 제9권3호
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• pp.75-84
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• 2006

일반적으로 개인교수형 코스웨어는 학생 스스로 학습하여 학업성취도를 향상시키는데 그 목적이 있다. 즉, 교과과정의 학습내용을 충분히 반영하면서 개인교수형 코스웨어만으로 학습한 경우에도 학업성취도를 향상시킬 수 있도록 구현되어야 한다. 또한 학생 스스로 학습을 진행할 수 있도록 학습 프로그램의 유용성도 제공해야한다. 본 논문에서는 코스웨어 구성의 평가기준과 교육과정의 교과 단원의 내용을 충실히 반영하고, 특히 상호사용과 멀티미디어 기능을 강화한 초등대상의 개인교수형 코스웨어를 구현하였다. 주제는 초등학교 4학년 2학기 과학 1단원의 '동물의 생김새'로 하였다. 구현한 코스웨어를 면대면 수업을 대신하여 적응한 후, 그 결과를 토대로 기존의 개발된 것과 비교하여 학업성취도와 유용성을 분석하였다. 그 결과, 학업성취도에 있어서 모든 코스웨어가 유의미하였지만 구현한 코스웨어의 평가 점수가 가장 많이 향상되었으며, 유용성 평가에서도 가장 유용한 결과를 얻었다. 따라서, 코스웨어의 구성과 내용에 따라 학습자의 학업성취도에 영향을 줄 수 있음을 확인할 수 있었다.