• 가정과삶의질연구
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• 제22권5호
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• pp.161-173
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• 2004

Although scholars have been using qualitative research commonly since 1990 in Korea, discussions on the criteria for the quality of qualitative research have been rare. The purpose of this paper was to analyze the trends of qualitative research methodology in Family Studies, and critically examine qualitative research articles published in the three most prominent journals in the field of family studies. The three journals were Journal of Korean Home Management Association, Journal of the Korean Home Economics Association, and Journal of Family Relations. During the period from 1998 to 2003, twenty seven published articles were identified as qualitative research articles from the three journals. Qualitative research in family studies had a wide variety of purposes, but the articles shared similar characteristics: the main goal was to understand the nature of the research participants' experiences and perspectives. The common data collection techniques were in-depth interview, journal writing, and document analysis. Also, all research articles had applied various techniques to data analysis such as grounded theory, or van Manen's method. This article also discussed the usefulness of qualitative research methodology in broadening and deepening the knowledge body in Korean Family Studies.

• 천문학회보
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• 제36권2호
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• pp.92.1-92.1
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• 2011

NASA launched Solar Dynamics Observatory (SDO) on February 2011 in order to understand the cause of solar activities and their influences on the Earth and the near-Earth space. KASI is constructing Korean Data Center for SDO based on the letter of agreement between KASI and NASA for space weather research. SDO produces about 1.5 TB a day and its raw data amounts to about 550 TB in a year. Stanford University has been already operating the data center for scientific raw data, but there is a limit to use its data for space weather research and space weather service in real time because of network environment. Korean Data Center for SDO will provide scientific data not only to Korean institutes but also to international space weather societies. KASI has designed the data transfer system by using GLORIAD in order to get higher performance and stability. After the first construction of data transfer system and storage system in this year, we will increase the storage capacity of the data center in phases considering new developments in a storage technology and drop of their prices.

• International Journal of Knowledge Content Development & Technology
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• 제7권2호
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• pp.41-51
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• 2017

Nowadays, research data repositories (RDR) have become progressively widespread all over the world. To expand repository services and build up inbound linking strategy, organizations list their repositories with so called Global Registries. Accordingly, such registries should be carefully described by the related data. In this study, I explore the metadata schema of re3data.org. I collect and analyze descriptions from the listed repositories, and come up with some suggestions concerning possible improvements to the metadata schema. To accomplish this, I develop a crawler program, which collects necessary data from the re3data.org. Based on the analysis results, I have identified two issues that required elements is missing, one issue that required element value is missing when the corresponding property is applied, five inconsistency issues with re3data controlled vocabulary, six issues with undescribed optional elements, and two inconsistency issues between the elements and their attributes which do not pair with. I believe this discussion can facilitate improvements to the existing re3data.org schema and further help researchers who analyze data repository trends.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2019년도 춘계학술대회
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• pp.319-322
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• 2019

실내 환경에서 사용자의 위치를 측위하는 다양한 기법들이 있다. 그중 와이파이 핑거프린트 기법은 데이터 수집 단계와 측위 단계로 구분된다. 데이터 수집 단계에서는 해당 위치 주변의 모든 와이파이 신호를 수집하여 리스트 형태로 관리한다. 수집된 데이터가 많을수록 실내측위 정확도가 향상된다. 기존 고품질 데이터 수집 및 관리 방법은 많은 시간과 비용이 소모되고, 기계학습에 필요한 데이터를 추출해 생성할 때 많은 연산이 필요하다. 따라서 한정된 자원 안에서 많은 데이터를 수집 및 관리할 수 있는 방법을 연구한다. 본 논문은 효율적인 데이터 수집 기법과 기계학습에 필요한 학습 데이터 관리 및 생성 기법을 제안한다.

• 실천공학교육논문지
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• 제13권3호
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• pp.435-442
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• 2021

본 연구에서는 학교 운동부 학생 선수들에게 스포츠 데이터 활용에 대한 전반적인 소양을 교육하는 프로그램을 개발하였다. 이에 스포츠 데이터에 대하여 기존 연구와 요구사항에 대하여 분석하고 학습 계획을 설계하였으며, 단계별 교육 프로그램에 따라 교육 프로그램을 개발하였다. 또한 기존 연구에서 학교 운동부 및 성인 스포츠 관계자들을 위한 데이터 과학 교육에 대한 연구가 전무하므로, 기존의 학교 현장에서 연구되었던 데이터 과학 교육에 대한 연구를 참고하여 문제 정의, 데이터 수집, 데이터 전처리, 데이터 분석, 데이터 시각화, 모의 분석의 단계로 연구를 진행하였다. 본 연구를 통하여 스포츠 데이터에 대한 스포츠 산업의 관심이 높아질 것으로 기대한다.

• 유통과학연구
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• 제21권1호
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• pp.53-63
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• 2023

Purpose: Big Data analytics (BDA) has been recognized to improve firm performance because it can efficiently manage and process large-scale, wide variety, and complex data structures. This study examines the determinants of Big Data analytics adoption toward marketing and financial performance of global logistic companies in Thailand. The research framework is adopted from the technology-organization-environment (TOE) model, including technological factors (relative advantages), organizational factors (technological infrastructure and absorptive capability), environmental factors (industry competition and government support), Big Data analytics adoption, marketing performance, and financial performance. Research design, data, and methodology: A quantitative method is applied by distributing the survey to 450 employees at the manager's level and above. The sampling methods include judgmental, stratified random, and convenience sampling. The data were analyzed by Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM). Results: The results showed that all factors significantly influence Big Data analytics adoption, except technological infrastructure. In addition, Big Data analytics adoption significantly influences marketing and financial performance. Conversely, marketing performance has no significant influence on financial performance. Conclusions: The findings of this study can contribute to the strategic improvement of firm performance through Big Data analytics adoption in the logistics, distribution, and supply chain industries.

• Biomolecules & Therapeutics
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• 제16권2호
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• pp.77-81
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• 2008

The major aim of the Korean Pharmacogenomic Database (KPD) is to offer to users a "bridging" function, making the search for useful information easier. This database has also been established to collect unique Korean genotype data from other databases and to directly link these data to other major databases that offer more informative data. In this way, searches for information about new drug developments and easier and faster evaluation of the more complex and larger databases are possible. The KPD is located at the National Institute of Toxicological Research homepage (http://www.nitr.go.kr/nitr/contents/m134700/view.do), and offers Korean single-nucleotide polymorphism (SNP) information for 154 genes and haplotype information. It also compares the Korean SNP and haplotype frequencies with those of the other ethnic groups registered in the International HapMap. Through the Pharmacogenomic Information and Education facility, we also provide evaluators and the public with information about the concept of pharmacogenomic information, research trends, and the drug regulations of other countries. Because the drug responses of Koreans are not necessarily the same as those of Chinese or Japanese people, it is expected that the systematic operation of the KPD will allow the definition of racial differences and various genomic biomarkers (haplotypes or SNPs) for use in bridging studies and in the approval of new drugs.

• The Journal of Asian Finance, Economics and Business
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• 제7권12호
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• pp.555-564
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• 2020

The purpose of this study is to analyze the efficiency of research institutes of futures companies, and to promote the development of futures market and real economy. This study employs DEA-solver software to conduct super-efficiency data envelopment analysis (SE-DEA), and also selects 40 representative futures research institutes in China as decision-making units (DMUs). For data of input and output indicators, we collect from the China Futures Association, Futures Daily, Hexun.com and Webstock.com respectively, and the time duration is the 103 trading days between from October 2019 to February 2020. Then the indicator for the strategy accuracy rate is calculated separately by analyzing the strategies published by each DMUs in public media. In conclusions, most institutes have excessive investment in human resources, and also have insufficient strategy accuracy rate and insufficient published research reports. The findings of this study suggest that Chinese futures companies need to improve the efficiency of research institutes, and better meet the demand of the financial market. In fact, the analysis of the efficiency of the futures company research institute has not been found in the literature worldwide, Application of DEA model in efficiency analysis of securities and futures research institutions and establishment of indicators are the innovations of this paper.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
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• pp.127-131
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• 1999

Typhoons were known by contributing to transporting plus heat or kinetic energy from equatorial region to midlatitude region. Due to the strong damage from typhoon, we acknowledged the theoretical study and the importance of accurate forecast about typhoon. In this study, typhoon forecasting system was developed to search the tracks of past typhoons or to display similar track of past typhoon in comparison with the path of current forecasting typhoon. It was programmed using Interactive Data Language(IDL), which was a complete computing environment for the interactive analysis and visualization of data. Typhoon forecasting system was also included satellite image and auxiliary chart. IR, Water Vapor, Visible satellite images helped users analyze an accurate forecast of typhoon. They were further refined the procedures for generating water vapor winds and gave an initial indication of their utility for numerical weather prediction(NWP), in particular for typhoon track forecasting where they could provide important information. They were also available for its utility in typhoon tracer or intensity.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2007년도 추계학술대회 및 제23회 정기총회
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• pp.129-130
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• 2007

해양 분야에서는 현재 해양 생태계 모델이나 수질모델 그리고 해수 유동모델과 같은 다양한 모델들이 사용되어 지고 있으며 이러한 해양 모델들의 결과 값은 사용자가 한눈에 알아보기 어려운 수치 데이터의 나열로서 출력되어 지고 있다. 본 논문에서는 현재의 분석하기 어려운 모델링결과 데이터를 보다 효과적으로 분석하기 위해 GIS 의 기법을 적용하여 이 데이터를 보다 직관적이고 가시적인 형태로 변환하고 표현하는 기술을 개발, 적용하였다.