• Journal of Energy Engineering
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• v.9 no.1
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• pp.76-81
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• 2000

풍속자료의 측정이 예기치 못한 원인으로 실패하는 일이 종종발생한다. 풍속자료의 해석을 위해서는 이렇게 망실된 풍속자료의 복원이 필요하다. 이 경우 유용한 측정자료를 바탕으로 적절한 내삽법(혹은 외삽법)으로 망실된 풍속자료를 복원하는 것이 일반적인 방법이다. 이때 해당지역의 지면조도값이 필요하고, 일반적으로는 상수로 추정된 지면조도값을 사용한다. 이에 반하여 , 본 연구에서는 방위별로 변하는 지면조도의 개념을 새로이 제안하였다. 누락 풍속자료의 복원사례에 적용하여 제안된 방법의 신뢰도를 검토한 바 기존의 지면조도를 일정 값으로 하는 것보다 제안된 방법이 풍속자료의 보정 및 복원을 보다 더 정확하게 할 수있음을 확인하였다. 따라서, 방위별 장애물의 편차가 크고 , 계절별 풍향의 변화가 심할 경우에는 제안된 지면조도의 개념은 유용한 접근법이 될 것으로 기대한다.

• Journal of East-West Nursing Research
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• v.25 no.1
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• pp.33-40
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• 2019

Purpose: The purpose of this study was to identify factors that affect care left undone among newly graduated nurses. Methods: Participants were 236 newly graduated nurses with less than 1 year of experience from 5 general hospitals in Busan. Self-report questionnaires were completed by nurses between October and November, 2016. Data were analyzed using t-test, ANOVA and multiple regression analysis with the SPSS/WIN 25.0 Program. Results: The mean score for care left undone was $2.18{\pm}1.43$. Factors influencing care left undone were monthly income and working environment. Regression analysis showed that working environment and monthly income explained 11.0% of the variance while controlling for participants' demographics and work characteristics. Conclusion: The findings suggest that better working environment and appropriate monthly income are important to reduce care left undone in hospitals. The quality of nursing and patient safety may be ensured by reducing care left undone.

• The Journal of Bigdata
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• v.2 no.2
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• pp.17-31
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• 2017

With the development of the big data environment, public institutions also have been providing big data infrastructures. Public data is one of the typical examples, and numerous applications using public data have been provided. One of the cases is related to the employment insurance. All employers have to make contracts for the employment insurance for all employees to protect the rights. However, there are abundant cases where employers avoid to buy insurances. To overcome these challenges, a data-driven approach is needed; however, there are lacks of methodologies to integrate, manage, and analyze the public data. In this paper, we propose a methodology to build a predictive model for identifying whether employers have made the contracts of employment insurance based on public data. The methodology includes collection, integration, pre-processing, analysis of data and generating prediction models based on process mining and data mining techniques. Also, we verify the methodology with case studies.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.1
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• pp.161-182
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• 2023

In the recent cataloging environment, the function of authority data is becoming more important. In Korea, a pilot project for sharing and joint use of the national authority data has been promoted since 2019, and a plan to automatically construct retrospective authority data using national authorities is in progress. This study aims to (1) analyze the results of the pilot project for retrospective authority data jointly promoted by the National Library of Korea and KERIS in 2019, (2) explore methodological limitations and problems in the process, and (3) derive policy proposals for constructing authority data more efficiently. To this end, a university library participating in the pilot project was investigated as a case study. Based on it, the automatic generation rate and accuracy of authority data, and errors and omissions cases and causes were analyzed in detail. As a results of the study, it was found that the quality of union catalogs and bibliographic records had a great influence on automatically constructing authority data, and supplementary methods were needed to minimize these limitations.

• 한국ITS학회:학술대회논문집
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• 2003.11a
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• pp.221-225
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• 2003

• 한국ITS학회:학술대회논문집
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• 2004.11a
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• pp.270-275
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• 2004

• KSCE Journal of Civil and Environmental Engineering Research
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• v.40 no.5
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• pp.465-475
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• 2020

I-D-F curves were induced by Box-Cox transformation using rainfall data from five major cities in Korea: Seoul, Busan, Daegu, Daejeon, and Gwangju, as well as from Sancheong (South Gyeongsang province) and Yeongcheon (North Gyeongsang province) stations. The practicality of the Box-Cox transformation is more scalable than the traditional method of frequency analysis in terms of applicability because it is available even if the analysis data are insufficient to perform general frequency analysis and do not produce an appropriate probability density function. For the case in which rainfall data for the entire period (10-1440 minutes) and short-term period (20, 30, 40, 50 minutes) at the foregoing 7 stations are omitted, there was a relative error of -23.0 % to 14.7 % at a duration of 10 to 60 minutes below the 100-year frequency. Accordingly, rainfall analysis requires inducing I-D-F curves, including for the short term (20, 30, 40, 50 minutes), and if rainfall data are omitted for the short term (20, 30, 40, 50 minutes), it is necessary to increase the existing margin rate depending on the point in order to ensure the safe design of small-scale hydraulic structures.

• Tuberculosis and Respiratory Diseases
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• v.62 no.1
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• pp.27-32
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• 2007

Background: This study evaluated the accuracy of smoking habit from the data obtained from the medical records of lung cancer patients against the data obtained form face-to-face interview questionnaires Methods: The smoking habits of 225 lung cancer patients were categorized into never smoked, ex-smoker and current smoker in face-to-face interview questionnaire and medical record taken at the time of admission for a diagnosis. The overall agreement between two sources was evaluated. The factors affecting the disagreement between two sources and the level of data omission of the smoking habits in medical records were analyzed suing multiple logistic regression. Results: The smoking habit between two sources showed moderate overall agreement(Kappa $({\kappa})=0.60$). The lowest agreement was observed in the ex-smokers(${\kappa}=0.49$). Multivariate analysis revealed an age of 65 or older to be a statistically significant factor associated with the increasing disagreement risk compared with those 64 or younger (OR 3.02; 95% CI 1.58-5.80). The omission rate of smoking habits in the medical records was 18.2%. Adenocarcinoma was shown to be a statistically significant factor of associated with an increasing omission rate compared with squamous cell carcinoma (OR 3.00; 95% CI 1.19-7.59). Conclusion: The smoking habits obtained from medical record moderately reflect their true behavior. However, the smoking habit data from medical record should be used with caution when being used in a clinical study or cohort study of lung cancer.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.06a
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• pp.411-420
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• 2001

자료융합 (Data fusion)은 두 개 이상의 표본집단으로부터의 서로 다른 설문지 조사 자료를 혼합하여 하나의 통합되어진 자료를 만들어 내는 과정이다. 본 연구에서는 고객관계관리를 위해서 효율적으로 고객정보를 수집하고 관리할 수 있는 하나의 방법론으로서 자료융합 (Data Fusion) 방법을 제시하고, 그 방법의 유용성을 평가하고자 한다. 좀 더 구체적으로 말하면, 상관계수를 이용하여 기증자를 찾는 자료융합 방법과 Correspondence Analysis를 이용하여 기증자를 찾는 자료융합 방법의 정확도를 비교하는데 그 주요 목적을 두고 있다.

• The Korean Journal of Financial Management
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• v.26 no.4
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• pp.63-81
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• 2009

This paper empirically examines the relation between stock volatility and volatilities of macroeconomic variables and financial derivative trading. Previous studies have shown that stock volatility has been much greater than volatilities of macroeconomic variables, and their explanatory powers are too weak to confirm hypothesized theoretical relation between stock volatility and macroeconomic volatilities. The test for the relation using Korean data since 1980 verified such a finding. It is argued that this may have been the result from omitting the influence of financial activities on stock volatility. In particular, this paper demonstrates that, by including the volatility of financial derivative trading, stock volatility-macroeconomic volatility relation can not only be explained better, but also the hypothesized significance of macroeconomic volatilities can be restored.