• International Journal of Advanced Culture Technology
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• 제11권4호
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• pp.169-176
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• 2023

This study aims to assess the current status of career education at C University and to gather foundational data for developing a step-by-step career education curriculum and an integrated roadmap for curriculum and extracurricular career education. This research involves a comparative analysis of C University's enrolled students and external university students through a survey using the [University Career Exploration Model]. Data collection took place over one month in October 2023, and statistical analysis was conducted using the SPSS Statistics 25.0 program. The survey results enabled a comparative analysis of the career exploration processes and levels between enrolled students at C University and external university students. The proportion of enrolled students at C University responding positively to the career exploration process and level was high. Through this study, a better understanding of the career exploration processes and levels of university students was achieved. It is deemed necessary to conduct systematic research for continuous, tailored integration of curriculum and extracurricular career education at the university level.

• 한국의류학회지
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• 제25권3호
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• pp.586-597
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• 2001

EThe purpose of this study was to investigate the relationships of consumers psychological characteristics, store types and impulse buying behaviors of apparels. We collected data from 469 consumers of women college student living in Pusan and analysed by factor analysis, frequency analysis, correlation analysis, t-test and $\chi$$^2$-test. The results were as follows: First, The sensation seeking tendency consisted of the Change seeking, Risk seeking, Artistic seeking, Curiosity seeking and Unusual seeking. The exploratory behavior of apparels were divided into six factors; Particularity exploration, Innovation exploration, Store exploration, Brand royalty exploration, interpersonal exploration and brand-seeking exploration. Second, In comparison with the unimpulse-buying group, the impulse-buying group intended more then Change seeking, when apparel explored, Particularity exploration, Innovation exploration and Brand exploration. Impulse-buying group preferred the department store, unimpulse-buying group did the specialty store.

• 실천공학교육논문지
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• 제15권2호
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• pp.401-408
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• 2023

본 연구에서는 운동선수부 학생들을 위하여 진로탐구 프로그램을 개발하였다. 이에 운동선수부를 위한 진로탐구에 대하여 기존 연구를 분석하고 요구사항을 파악하며, 학습 계획을 설계하였다. 이를 토대로 단계별로 교육 프로그램을 개발하였다. 또한 기존연구에서 운동선수부 학생을 위한 진로탐구에 대한 연구가 활발하지 않았으므로 학교 현장에서 연구되었던 기존의 진로탐구 연구를 참고하여 '문제 정의' - '데이터 수집' - '데이터 전처리' - '데이터 분석' - '데이터 시각화' - '모의 분석'의 단계로 구분하여 연구를 진행하였다. 본 연구를 통하여 운동선수부 학생을 위한 진로탐구에 대한 연구가 더욱 활발해질 것으로 기대한다.

• 천문학논총
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• 제32권1호
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• pp.209-211
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• 2017

We performed Principle Component Analysis (PCA) over 264 galaxies in the IRAS Revised Bright Galaxy Sample (Sanders et al., 2003) using 12, 25, 60 and $100{\mu}m$ flux data observed by IRAS and 9, 18, 65, 90 and $140{\mu}m$ flux data observed by AKARI. We found that (i)the first principle component was largely contributed by infrared to visible flux ratio, (ii)the second principal component was largely contributed by the flux ratio between IRAS and AKARI, (iii)the third principle component was largely contributed by infrared colors.

• Genomics & Informatics
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• 제1권2호
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• pp.65-74
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• 2003

Data mining differs primarily from traditional data analysis on an important dimension, namely the scale of the data. That is the reason why not only statistical but also computer science principles are needed to extract information from large data sets. In this paper we briefly review data mining, its characteristics, typical data mining algorithms, and potential and ongoing applications of data mining at biopharmaceutical industries. The distinguishing characteristics of data mining lie in its understandability, scalability, its problem driven nature, and its analysis of retrospective or observational data in contrast to experimentally designed data. At a high level one can identify three types of problems for which data mining is useful: description, prediction and search. Brief review of data mining algorithms include decision trees and rules, nonlinear classification methods, memory-based methods, model-based clustering, and graphical dependency models. Application areas covered are discovery compound libraries, clinical trial and disease management data, genomics and proteomics, structural databases for candidate drug compounds, and other applications of pharmaceutical relevance.

• 한국컴퓨터정보학회논문지
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• 제20권11호
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• pp.77-88
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• 2015

This study attempts to investigate the effect of team diversity on individual creativity and team members' creative activities such as exploration and exploitation. We have garnered 40 team data from 249 respondents who have been participating in the team learning activities during semester in a private university. They were asked by instructor to show their creativity, and exploration and exploitation activities. The 40 teams were made up of team diversity factors such as study hour and leisure activity. We used a multilevel analysis to analyze the effects of team diversity factors on team member's creativity, and exploration and exploitation. Results showed that in general, team diversity factors like study hour and leisure activities have significant effects on the individual creativity, and exploration and exploitation. Practical implications represent that teams need to be organized considering the team diversity factors in order to improve team member's creativity, and their exploration and exploitation activities.

• 한국측량학회지
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• 제40권2호
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• pp.109-118
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• 2022

싱크홀 탐사 등 지반조사를 위한 기술로 개발된 GPR (Ground Penetrating Radar)은 지하시설물 탐사에서 불탐구간을 해소하기 위한 방법으로 한정되어 사용하고 있었다. 정부는 지하시설물 데이터의 정확도 개선을 위하여 2022년 7월부터 비금속 관로 탐사기를 이용한 지하시설물 탐사가 가능하도록 하였다. 그러나 GPR은 점토층 등과 같이 연약지반 같은 수분함량이 높은 지반에서 탐사율도 낮아지고, 정확도에 많은 변동이 발생하는 문제점을 가지고 있다. 본 연구에서는 GPR의 특성과 지하시설물의 환경을 고려한 탐사정확도 향상방안으로 유전률 상수 보정과 GPR 영상자료의 패턴분석을 이용한 지하시설물 GPR탐사 방안을 제시하고자 한다. 본 연구를 통하여 GPR 주파수 대역과 이기종 GPR을 적용한 현장검증 결과 지하시설물 탐사의 정확도 향상 및 높은 재현성 결과를 도출하였다.

• 지구물리와물리탐사
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• 제17권4호
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• pp.242-246
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• 2014

지층의 전기화학적인 물성을 이용한 광대역유도분극(SIP) 탐사는 황화광물을 포함한 금속광물탐사에 유용한 기술이다. 탐사자료로부터 IP 물성을 계산하기 위해서는 등가회로 분석을 수행한다. 분석에 사용되는 암석의 SIP 반응을 고려한 등가회로 모델은 해의 비유일성이라는 문제를 가지기 때문에 정확한 분석을 위해 적절한 모델을 설정하는 것이 매우 중요하다. 따라서 이 연구는 SIP 이상반응을 나타내는 광석의 분석에 적합한 새로운 모델을 제안하고자 하였다. 이 모델은 기존의 Dias model과 Cole-Cole model의 비교를 통하여 적합성을 검증하였다. 그 결과, Dias model과 Cole-Cole model을 이용한 분석 결과의 NRMSE 오차는 각각 10.05%와 17.03%를 보였다. 하지만 제안한 새로운 모델의 NRMSE 오차는 0.87%로 상당히 낮았기 때문에 다른 모델보다 SIP 이상 자료의 등가회로 분석에 유용하고 판단하였다.

• 한국지구물리탐사학회:학술대회논문집
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• 한국지구물리탐사학회 2011년도 학술대회 및 정기총회
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• pp.31-32
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• 2011

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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• pp.662-663
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• 2004

In general, mineral resources prospect is performed in several methods including geological survey, geological structure analysis, geochemical exploration, airborne geophysical exploration and remote sensing, but data collected through these methods are usually not integrated for analysis but used separately. Therefore we compared various data integration techniques and generated final mineral resources potentiality map.