• Title/Summary/Keyword: 객관적 분석

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Art transaction using big data Artist analysis system implementation (미술품 거래 빅데이터를 이용한 작가 분석 시스템 구현)

  • SeungKyung Lee;JongTae Lim
    • Journal of Service Research and Studies
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    • v.11 no.2
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    • pp.79-93
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    • 2021
  • The size of the domestic art market has increased 21.9% over the past five years as of 2018 to KRW 448.2 billion and the number of transactions has also increased 31.6% to 39,367 points maintaining growth for the fifth consecutive year. Art distribution platforms are diversifying from galleries and auction-style offline to online auctions. The art market consists of three areas: production (creation), distribution (trade), and consumption (buying) of works and as the perception of artistic value as well as economic value spreads interest is also increasing as a means of investment. Consumers who purchase works and think of them as a means of investment technology have an increased need for objective information about their works, but there is a limit to collecting and analyzing objective and reliable statistics because information provision in the art market distribution area is closed and unbalanced. This paper identifies objective and reliable art distribution status and status through big data collection and structured and unstructured data analysis on art market distribution areas. Through this, we want to implement a system that can objectively provide analysis of authors in the current market. This study collected author information from art distribution sites and calculated the frequency of associated words by writer by collecting and analyzing the author's articles from Maeil Business, a daily newspaper. It aims to provide consumers with objective and reliable information.

Effect of watching movie & animation on anxiety and discomfort of the patients during MRI exam (MRI 검사 환자의 불안 및 불편감에 대한 영화(애니메이션)감상 효과 분석)

  • Park, Myung-Chul;Lee, Moo-Sik;Hong, Jee-Young;Bae, Seok-Hwan;Li, Nam-Gu
    • Proceedings of the KAIS Fall Conference
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    • 2009.12a
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    • pp.769-773
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    • 2009
  • 본 연구는 MRI 검사를 받은 환자를 대상으로 영상매체(Visual equipment & Audio system)를 이용하여 영상물을 제공함으로서 불안과 불편감에 대한 효과에 대해 규명함으로써 MRI 검사로 인한 심리적, 정신적 불안과 불편 감을 감소시킬 수 있는 대체요법을 제공하기 위하여 본 연구를 시도하였다. 연구대상은 대전광역시에 위치한 K 대학병원에서 MRI 검사를 받은 환자 중 영상물을 제공받은 실험군 30명과 영상물을 제공받지 않은 대조군 30명을 대상하였다. 연구의 도구는 Spielberger의 기질불안 도구와 Cline, Herman, Shaw와 Morton이 고안한 불안점수 도구인 시각적 상사척도(VAS)를 이용하였고, 영상물을 제공하여 두 군 간의 활력징후를 측정하였고 불편감은 대상자의 주관적 불편감(어지러움, 공포감. 긴장감)점수와 객관적 불편감 행동 점수를 사용하였다. 자료 분석 방법은 SPSS12K for Windows program을 이용하였으며, 두 군의 일반적 특성 및 수술에 관련된 특성의 동질성 검증은 $\chi^2$ 검정, 가설검증은 t-test로 분석하였다. 연구결과를 요약해 보면 영상매체(Visual equipment & Audio system)를 이용하여 영상물(영화, 애니메이션)을 제공하면서 MRI 검사를 진행했을 경우 검사 대상자의 혈압 및 객관적 불편감에서는 유의한 영향을 미치지 못했으나 불안과 활력징후의 하나인 맥박의 감소, 또한 주관적 불편감이 감소됨을 알 수 있었다. 따라서 환자의 심리적인 긴장감을 완화시키며 안정감을 느끼게 하는데 효과적인 대체요법이 될 수 있을 것으로 사료 된다.

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A Study of Aggressive Driver Detection Combining Machine Learning Model and Questionnaire Approaches (기계학습 모델과 설문결과를 융합한 공격적 성향 운전자 탐색 연구)

  • Park, Kwi Woo;Park, Chansik
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.3
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    • pp.361-370
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    • 2017
  • In this paper, correlation analysis was performed between questionnaire and machine learning based aggressive tendency measurements. this study is part of a aggressive driver detection using machine learning and questionnaire. To collect two types tendency from questionnaire and measurements system, we constructed experiments environments and acquired the data from 30 drivers. In experiment, the machine learning based aggressive tendency measurements system was designed using a driver behavior detection model. And the model was constructed using accelerate and brake position data and hidden markov model method through supervised learning. We performed a correlation analysis between two types tendency using Pearson method. The result was represented to high correlation. The results will be utilize for fusing questionnaire and machine learning. Furthermore, It is verified that the machine learning based aggressive tendency is unique to each driver. The aggressive tendency of driver will be utilized as measurements for advanced driver assistance system such as attention assist, driver identification and anti-theft system.

Socio-Demographic Characteristics and Subjective Class Identification of 'Joongsancheung' (중산층의 사회인구학적 특성과 주관적 계층의식)

  • Jo, Dong-Gi
    • Korea journal of population studies
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    • v.29 no.3
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    • pp.89-109
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    • 2006
  • The 'Joongsancheung(JSC)', a unique term for the middle class in Korea, is defined as a stratum sharing common lifestyles and a certain level of life chances. It involves non-economic factors such as life chance, educational attainment, occupational groups as well as economic factor. Such objective measures as the occupational status of the main breadwinner, family income, and the educational level of respondent, and subjective measures of class identification are used for the operational definition of the JSC. Data from a national survey of 1,515 respondents is analyzed to investigate the change of the JSC in size and the major determinants of class identification. The results show that while there is no strong evidence of any significant change of the JSC by the objective measures during the recent decade, there seems to be a slight decrease in the subjective class identification. In addition, binary logistical regression analysis reveals that self-identification of JSC is heavily influenced by house ownership, along with subjective evaluation of one's own income and property ownership. This study demonstrates that the apparent class polarization in Korean society reflects not so much objective conditions but subjective perception of respondent of his or her circumstance. It is suggested that problems of housing and relative derivation people have as regards income and property should be resolved to alleviate such class polarization in Korean society.

A Study on Analysis of the Physical Properties of Domestic and Foreign Sensible Worsted Fabrics - Comparison between subjective and objective hand assessments of the fabric - (국내.외 감성 소모직물의 물성분석에 관한 연구(I) - 주관적 태 평가와 객관적 태 평가 비교 -)

  • Park, Kyung-Soon;Kim, Seung-Jin
    • Science of Emotion and Sensibility
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    • v.10 no.3
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    • pp.299-306
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    • 2007
  • The purpose of this study is to analyze physical properties of foreign famous worsted fabrics to realize improvements in qualities of the domestic men's worsted fabrics and to make an comparison between foreign worsted fabrics and domestic ones. For this purpose, this study carries out both objective and subjective fabric hand measurements using KES-FB system and Blind field test, to evaluate physical properties of worsted fabrics and finally is aiming to make an comparison between the results from the two measurements for enhancing the quality of the domestic worsted fabrics using the 14 specimens of 7 types as worsted fabrics manufactured in Italy, UK and Korea.

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Classfication Method of Sasang Constitution Teeumin 20-30 Years of Man Using Pitch Element Extraction and Analysis (피치 요소 추출 및 분석을 이용한 20-30대 남성의 사상체질 태음인 분류 기법)

  • Bong-Huin Kim;Min-Kyoung Ka;Se-Hwan Lee;Ji-Huun Kwak;Dong-Uk Cho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2008.11a
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    • pp.133-136
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    • 2008
  • 초고령화 사회로 진입하면서 건강의 유지 및 관리는 일상생활에서 매우 중요한 관심으로 대두되고 있다. 특히 우리나라 전통의학에 대한 가치성이 향상되면서 이를 실생활에 접목하기 위한 노력이 활발하게 진행되고 있는 실정이다. 이를 위해 본 논문에서는 사상의학에 대한 체질 분류의 객관화를 통해 예방차원의 건강 관리를 지속하기 위한 연구를 진행하고자 한다. 특히 사상의학에서 제안하고 있는 여러 사상체질 분류 방법 중에서 음성을 통한 사상체질 분류 방법을 공학적으로 구현하여 이를 객관적 진단 지표로 설계하고자 한다. 따라서 본 논문에서는 서울지역에 거주하고 있는 20-30대 남성의 음성을 수집하여 음성 분석학적 요소 중 피치 분석 요소들에 대한 추출 및 비교를 통해 사상의학의 사기론에서 제안하는 이론적 근거를 입증하고자 한다. 최종적으로 실험을 통해 추출된 결과를 사상의학 전문의의 진단 결과와 비교, 분석하여 제안하는 기법에 대한 검증을 수행하고자 한다.

Convergence Influential Factors on Stress of Workers in the Field of Railroad Electricity by the Railroad Work Characteristics (철도전기 분야 근무자들의 철도 관련 근무 특성이 스트레스에 미치는 융합적 영향 요인)

  • Lee, Hyun-Ju
    • Journal of the Korea Convergence Society
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    • v.8 no.9
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    • pp.105-115
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    • 2017
  • The purpose of this study is to find the railroad work characteristics that influence stress of workers in the field of Railroad electricity including railroad signaling. After a self-administered questionnaire survey was conducted from Feb. 13 to Mar. 10 of the year 2017, 445 questionnaire copies were analyzed. Objective work characteristics include total working period, current workplace, work type, train service count, train line type, a type of train in charge, failure/accident participation count, work on holidays, and work hours. Subjective work characteristics include work life satisfaction and subjective work intensity. According to bivariate analysis, stress was different depending on all railroad work characteristics. According to multivariate analysis, total working period, train service count, a type of train in charge, work on holidays, work life satisfaction, and subjective work intensity were found to be influential factors. The moderating effect of subjective work characteristics was not found in the relation between objective work characteristics and stress. Therefore, it is necessary for companies to pay attention to the influential factors on stress and manage stress.

화재원인조사실무 - 22.9kV 수변전실에 설치된 계기용변성기(MOF)의 소손 원인 판정(상)

  • Choe, Chung-Seok
    • 방재와보험
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    • s.113
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    • pp.36-41
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    • 2006
  • 전기 화재의 발생 원인을 과학적으로 분석하고 향후 예방을 위한 자료로 활용하기 위해 계기용 변성기(계기용 변압변류기 : MOF)의 소손 패턴, 실체 사진 및 금속 조식. 조성 변화, 적외선 흡광 스펙트럼 등을 과학적으로 해석하여 객관적 근거를 제시하고자 한다.

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A Suggestion of the Modified Weighting Values of the RMR Parameters Using a Multiple Regression Analysis on Rock Slopes (암반사면을 대상으로 다변량 수량화 기법을 응용한 RMR 인자의 수정 가중치 제안)

  • Chae Byung-Gon;Kim Kwang-Sik;Cho Yong-Chan;Seo Yong-Seok
    • The Journal of Engineering Geology
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    • v.16 no.1 s.47
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    • pp.85-96
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    • 2006
  • This study was conducted to suggest a method to determine weighting values of each parameter of the RMR system considered with geologic characteristics of a study area. This study reviewed the weighting values of the RMR system for the Cretaceous sedimentary rocks distributed in Ulsan area. Based on the data of field survey at the study area, a multiple regression analysis was used to set up an optimal weighting values of the RMR parameters. For the multiple regression analysis, each parameter of the RMR and the slope gradient were regarded as the independent variable and the dependent variable, respectively. The analysis result suggested a modified weighting values of the RMR parameters as follows; 30 for the intact strength of rock; 18 for RQD; 8 for spacing of discontinuities; 32 for the condition of discontinuities; and 12 for ground water.