• 디지털융복합연구
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• 제14권6호
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• pp.151-156
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• 2016

본 연구의 목적은 선행연구를 통해 도출한 부동산중개서비스품질 요소들 중 핵심적인 부동산중개서비스품질 요인을 찾아내고 이들 요인들의 재이용의도에 대한 관련성 정도를 파악하는 것이다. 이를 위해 본 연구에서는 부동산중개서비스품질 변수(전문지식, 태도, 상호작용)와 신뢰 및 재이용의도 정도를 포함한 설문을 작성하여 부동산중개사무소를 이용한 경험자를 대상으로 설문조사를 통해 자료를 수집하고, 이 자료를 이용하여 탐색적 요인분석과 구조방정식모형을 이용한 확인적 요인분석을 실시하였다. 분석결과 상호작용은 신뢰에 양의 영향을 미치고 신뢰는 다시 재이용의도에 양의 영향을 미치고 있으며 동시에 상호작용은 재이용의도에 직접적으로도 양의 영향을 미치는 것으로 나타났다. 그러므로 본 분석결과, 부동산중개사무소의 경영자는 고객의 재방문의도를 높이기 위해 부동산중개서비스품질 요인들 중 상호작용에 관심을 두어야함을 알 수 있다. 본 연구를 위한 설문을 전국규모로 하여 분석결과의 일반화는 향후연구과제로 남긴다.

• 복식문화연구
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• 제32권3호
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• pp.364-380
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• 2024

This study aimed to identify changes in upper body measurements and body shape types among women over a 10-year period based on data from the 6th and 8th Size Korea Anthropometric Surveys. The study used regression analysis to explore the relationship between various dimensions, enabling the prediction of different upper body dimensions based on height and waist circumference. The sample consisted of 1,179 women in their 20s who participated in the 6th (2010) and 8th (2020) Size Korea Anthropometric Surveys, with 33 items analyzed. Initially, most items, except those related to height, exhibited larger values in the 8th Survey than in the 6th, suggesting a general increase in the upper body dimensions of females in their 20s over the 10-year period. Subsequent factor analysis revealed three factors crucial for determining the upper body shape of women in this age group. The body shapes were then categorized into four distinct clusters. Regression analysis indicated that both waist circumference and height significantly influence most of the measured items, with waist circumference having a more substantial impact in most models. Through this research, we aim to provide foundational data that reflects the evolving upper body shapes of women in their 20s to enhance clothing production and improve the sizing system.

• 융합경영연구
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• 제11권6호
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• pp.1-8
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• 2023

Purpose: In the era of the Fourth Industrial Revolution, individuals equipped with fundamental understanding and practical skills in artificial intelligence (AI) are essential. This study aimed to validate the effectiveness of AI education for enhancing AI literacy among business major student. Research design, data and methodology: Data for analyzing the effectiveness of the AI Fundamental Education Program for business major students were collected through surveys conducted at the beginning and end of the semester. Structural equation modeling was employed to perform basic statistical analyses regarding gender, grade, and prior software (SW) education duration. To validate the effectiveness of AI education, seven variables - AI interest, AI perception, data analysis/utilization, AI projects, AI literacy, AI self-efficacy, and AI learning persistence - were defined and derived. Results: All seven operationally defined variables showed statistically significant positive changes. The average differences were observed as follows: 0.47 for AI interest, 0.32 for AI perception, 0.37 for data analysis/utilization, 0.27 for AI projects, 0.25 for AI literacy, 0.39 for AI self-efficacy, and 0.41 for AI learning persistence. Statistically, AI interest exhibited the most substantial average difference. Conclusions: Through this study, the applied AI education was confirmed to enhance learners' overall competencies in AI, proving its utility and effectiveness in AI literacy education for business major students. Future research endeavors should build upon these results, focusing on ongoing studies related to AI education programs tailored to learners from diverse academic backgrounds and conducting continuous efficacy evaluations.

• 천문학논총
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• 제32권1호
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• pp.41-43
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• 2017

AKARI performed about 10,000 spectroscopic observations with the Infrared Camera (IRC) during its mission phase. These IRC observations provide unique spectroscopic data at near- and mid-infrared wavelengths for studies of the next few decades because of its high sensitivity and unique wavelength coverage. In this paper, we present the current status of the activity for improving the IRC spectroscopic data reduction process, including the toolkit and related data packages, and also discuss the goal of this project.

• 한국지하수토양환경학회:학술대회논문집
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• 한국지하수토양환경학회 1998년도 공동 심포지엄 및 추계학술발표회
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• pp.123-126
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• 1998

We have conducted surface electrical resistivity surveys along with the electrical logging at Bookil-Myun, Chungwon-Goon, Choongchungbuk-Do to determine the depths of basement and water table, and for the purpose of preparing the basic input data for hydrogeologic model combined with GIS. A twenty lines of dipole-dipole array survey and a twenty-five stations of resistivity sounding were performed and ten holes were employed for electrical logging to cross check the surface data. A combined interpretation gave the quantitative information of the shallow geologic structure over the area and we constructed layers using the grid analysis of Arc/info. The constructed layers were turned out to be similar to the geologic structure confirmed from the drilling data and we concluded that the methodology adopted in this study would be applicable to hydrogeologic model setup as a tool of providing the basic input data.

• 한국경영과학회지
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• 제13권2호
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• pp.72-77
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• 1988

Subjective scoring by different groups on different status of morbidity are compared to objective data obtained from legal awards. A power law is tested between subjective and objective scores. Regression analysis by means of a power function provides a measure of consistency in its regression coefficient. Power functions fitting also leads to a justified use of geometric averaging of individual scores into group scores.

• 천문학논총
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• 제25권4호
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• pp.107-112
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• 2010

By joining the Giant Magellan Telescope (GMT) project, Korean astronomers will get 10% of the GMT time, starting in the late 2010s. To prepare the GMT era, it is important to evaluate the current observational research activities. We surveyed the research programs performed by domestic astronomers during 2007A - 2010A period, using optical/near - IR telescopes with a medium to large aperture mirror (larger than 4 m). We describe the method and criteria of the survey, and present the results of the analysis based on the collected data.

• 산업공학
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• 제5권2호
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• pp.3-17
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• 1992

In this study, an integrated economic analysis model to analyze the new telecommunication services is developed. This model considers both the technological and managerial aspests altogether with respect to the profit and public benefit criteria. To encounter the various dynamically changing environments and evaluation criteria, multiple criteria decision making (MCDM)techniques are employed. The model consists of three stages; The first stage surveys related formal or informal data, generates analysis alternatives, and performs acceptabillty test in view of marketing. The second stage generates executive alternatives for each acceptable analysis alternative and checks the executionability in view of telecommunication technologies. The third stage performs the final integrated economic analysis including the profitability analysis. This study offers a basis for the future development of decision support system or expert system on the economic analysis of the new telecommunication services.

• Journal of the Korean Data and Information Science Society
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• 제10권2호
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• pp.329-340
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• 1999

We consider a Bayesian forcasting method for the analysis of repeated surveys. It is assumed that the parameters of the superpopulation model at each time follow a stochastic model. We propose Bayesian prediction procedures for the finite population total under multiprocess dynamic generalized linear models. The multiprocess dynamic model offers a powerful framework for the modelling and analysis of time series which are subject to a abrupt changes in pattern. Some numerical studies are provided to illustrate the behavior of the proposed predictors.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.141-143
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• 2003

The aim of this study is to evaluate the susceptibility of landslides at Clicap area, Indonesia , using a Geographic Information System (GIS). Landslide locations were identified from field surveys. The topographic and geological map were collected and constructed into a spatial database using GIS. The factors that influence landslide occurrence, such as slope, aspect and curvature of topography, were calculated from the topographic database and lihology and fault was extracted from the geological database. Then landslide susceptibility was analyzed using the landslide-occurrence factors by likelihood methods. The results of the analysis were verified using the landslide location data. The GIS was used to analyze the vast amount of data efficiently . The results can be used to reduce associated hazards, and to plan land use and construction.