• Journal of the Korean Magnetics Society
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• v.5 no.4
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• pp.324-334
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• 1995

앞의 논문에서 살펴 본바와 같이 밀도 범함수 이론에 바탕을 둔 제일 원리적 에너지 띠 계산 방법의 하나인 FLAPW(Full-potential Linearized Augmented Plane Wave) 방법 에 의해 표면, 계면, 초격자에서의 전자 구조및 자기적 성질, 그리고 구조적 성질이 잘 설명될수 있음을 보았다. 이러한 성공적 결과에도 불구하고 전자구조 계산 방법은 풀어야할 새로운 문제에 직면하고 있는데 그 중 중요한 것은 스핀-궤도 결합(spin-orbit coupling : SOC)을 어떻게 취급하며, 그 결과로 나타나는 자기 결정 이방성( magnetocrystallinge anisotropy : MCA)과 강자성 금속에서 나타나는 광자기적 효과를 설명하는 것이다.

• The Korean Journal of Applied Statistics
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• v.34 no.5
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• pp.837-848
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• 2021

Evaluating or predicting the effectiveness of economic policies is an important issue, but it is difficult to find an economic variable which causes a significant result because there are numerous variables that cannot be taken into account. A randomized controlled experiment is the best way to investigate causality, but it is not realistically possible to control through randomization and intervention in time series data such as macroeconomic data. Although some analysis methods have been proposed to find causality, the methods such as Granger causality method and Chow test are insufficient to explain causality. Recently, Pfister et al. (2019) proposed invariant causal prediction methods which can be applicable in time series data. In this paper, we introduce the method of Pfister et al. (2019) and use the method to find macroeconomic variables invariantly affecting the won-dollar exchange rate.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2002.06a
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• pp.105-121
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• 2002

최근 인간 지놈(genome)의 DNA가 밝혀져서 많은 관심을 받았는데, 이를 수행하는 방법을 소개한다. Human Genome Project에서 채택한 BAC-to-BAC 방식과 Celera 회사에서 채택한 whole genome shotgun 방식을 설명한다. 또한 두 방식에서 공히 fragment assembly 프로그램을 사용하는데, 이 프로그램의 개요를 설명한다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.5 no.2 s.10
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• pp.11-18
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• 2006

In this paper, we present the algorithm for calculating the interference of the received Non-ideal receiver filter and present the method for calculating the interference faster than that of the conventional method. The algorithm is simulated by Matlab and the simulation procedure is described by the flow-chart. The algorithm is verified by comparing the simulated results by Matlab with the result by calculator.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.04a
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• pp.82-84
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• 2000

통화시간에 대한 할인율 적용 혹은 짧은 통화에 요금을 부과하지 않은 정책 등 마케팅활동의 효과분석 및 마케팅전략을 수립하는데 있어서 통화시간 분석은 매우 중요하다. 기존연구들은 설명변수의 도입이 편리한 비례위험함수(proportional hazard function) 을 활용해 왔다. 그러나 이 방법은 추정이 용이하지 않다는 약점을 갖고 있다. 특히 통화행태를 설명하기위해 다양한 설명변수를 도입하는 경우, 기존에 상용화된 통계패키지로 추정하는데 한계점을 갖고 있다. 본 연구에서는 추정의 용이성에 초점을 맞추어, 실무자들이 손쉽게 통화시간에 대한 마케팅 노력의 효과를 분석할 수 있는 분석방법론을 제시하고, 제시된 분석방법을 이용하여 판촉활동 (요금할인)이 통화대기시간과 통화시간에 미치는 영향을 실증분석 하고 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.780-782
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• 2012

본 논문은 전자문서를 다중 계층적으로 운영하는 구조와 방법을 제시한다. 기존의 전자문서는 단일 계층에서의 작업으로만 이루어졌다. 이런 방식으로는 원본에 변경을 필요하기 때문에 원본을 변경할 수 없는 파일인 경우 (예: Adobe PDF), 전자문서를 보면서 줄을 긋고, 설명을 적는 것과 같은 작업은 전자문서를 출력해서 종이에 작업을 해야 하거나, 원본 문서를 내가 변경 시킬 수 있는 형태의 문서로 제작한 다음, 설명을 적거나, 줄을 긋는 방법을 택하여 왔다. 이런 방법은 원본을 다시 복사해야 하는 불편함과, 저장해야 하는 데이터 용량의 증가 등의 문제를 야기시켜왔다. 이에 본 논문은 위의 문제점들을 해결하기 위해, 전자문서를 다중 계층적으로 운영하는 구조를 제시한다. 즉 다중 계층을 적용시킨 전자문서로 원본에는 전혀 손상을 입히지 않으면서, 설명 자료 등을 첨부시키고, 강조하는 등의 작업을 가능하게 하여 전자문서의 효용성을 높이고자 한다.

• 전기의세계
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• v.30 no.12
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• pp.770-772
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• 1981

적응 제어의 이론을 설명하기 위하여 STR 방법과 MARC방법에 대하여 각각 하나의 방법을 소개하였고 이들을 사용하는데 고려하여야 할 점들을 기술하였다.

• Journal of agricultural medicine and community health
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• v.31 no.1
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• pp.35-46
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• 2006

Objectives: In recently. the management and protection on individual information in patient's medical & nursing records have been very important, and that need a guideline. The purpose of this study was to investigate the status of using the patient's nursing records of nursing students in clinical practice, to find and discuss the patient's informed consent, and status of education and management concerned to patient's nursing records. Methods: This study used a mailing survey. data collected from September 24th to October 31th in 2002. The subject were 333 professors who are major in adult nursing, pediatric nursing, psychological nursing of 111 university of nursing department and nursing college. And then we received the survey mail from 103 professors that respondent rate was 30.9%. Results: The characteristics of study subjects showed 49.0% of university. 51.0% of college of nursing. 50.0% of the subjects practiced point the patient by oral approval in clinical practice. But when the decision of the patient was very difficult, 21.6% of the subjects take to informed consent from his or her families. During the clinical practice, 49.0% of the subjects were explain to patient about clinical practice and contents of the nursing student, only 7.8% of the subjects were explain to patient with nursing records. 52.0% of the subjects were took out records from the hospital, only 17.6% of the subjects had standard of the patient's informed consent and standard of handling practice records. 17.6%-92.2% of the subjects that educate and manage concern to patient's nursing records.

• Journal of the Institute of Convergence Signal Processing
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• v.24 no.4
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• pp.186-191
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• 2023

Data processing techniques play a critical role in decision-making, including handling missing and outlier data, prediction, and recommendation models. This requires a clear explanation of the validity, reliability, and accuracy of all processes and results. In addition, it is necessary to solve data problems through explainable models using decision trees, inference, etc., and proceed with model lightweight by considering various types of learning. The multi-layer mining classification method that applies the sixth principle is a method that discovers multidimensional relationships between variables and attributes that occur frequently in transactions after data preprocessing. This explains how to discover significant relationships using mining on transactions and model the data through regression analysis. It develops scalable models and logistic regression models and proposes mining techniques to generate class labels through data cleansing, relevance analysis, data transformation, and data augmentation to make explanatory decisions.

• Journal of the Korean Data and Information Science Society
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• v.23 no.4
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• pp.643-648
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• 2012

There are lots of analysis to determine the relation between dependent variable and explanatory variables. Often the regression analysis is used to do this, and we can analyze the how much the explanatory variable can be related with dependent variable and how much the regression model can explain the data. But the validation check of regression model is usually determined by coefficient of determination. We should check the validation of regression coefficient with different methods. This paper introduces the method for validation check the regression coefficient using the jackknife regression and bootstrap regression in clinical data.