• Title/Summary/Keyword: 관심사 추출

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Motivation for Z generation to consume limited edition products (Z세대 소비자를 움직이는 힘, 한정판)

  • Eunji Lee
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.4
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    • pp.61-66
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    • 2023
  • In the past, purchasing limited products was nothing more than purchasing expensive luxury goods. However, the current 'Limited product purchase' is not just pay to ability, but the information to purchase the product are important factors. Therefore, this study aims to find out 1) the motivation to purchase limited edition products and 2) the effect of the motivation on the consumer's experience(price, intention to purchase). As a result, five major purchase motives(Conformity, Interest, Scarcity, Finance technology, Desire to concede) were found. Among them 'Interest' had a positive effect on the product purchase price, and 'Conformity' had a negative effect on the product price. Next, 'Interest' and 'Scarcity' had a positively significant effect on intention to purchase. Through this study, we were able to reveal in depth the actual purchase motives of consumers who are currently emerging as the main age group of the new consumption culture, and expect these purchase motives to be actively used in the new market such as resell markets.

COM Components Extraction for Building Surveying System Using GPS Satellites (GPS 위성을 이용한 측량 시스템 구축을 위한 COM 컴포넌트 추출)

  • 장은주;유철중;장옥배;이효종;최지훈
    • Proceedings of the Korean Information Science Society Conference
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    • 2002.10d
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    • pp.118-120
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    • 2002
  • 최근 GPS에 대한 관심은 기술 발전으로 인해 일상생활로까지 다양하게 활용되어 용도와 인기가 폭발적으로 늘어나고 있다. 본 논문에서는 GPS 위성을 이용하여 수신한 데이터를 이용하여 보다 빠르고 정확하한 측량 시스템을 구축하고자 한다. 이에 본 논문에서는 통합 패키지 형태의 소프트웨어 구조가 아닌 조립형 소트프웨어인 컴포넌트 방식 애플리케이션 개발의 플랫폼 역할을 하는 마이크로소프트(MS)사의 COM(Component Omject Model) 컴포넌트를 기반으로한 컴포넌트를 추출하고자 한다.

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Forecasting the Future Korean Society: A Big Data Analysis on 'Future Society'-related Keywords in News Articles and Academic Papers (빅데이터를 통해 본 한국사회의 미래: 언론사 뉴스기사와 사회과학 학술논문의 '미래사회' 관련 키워드 분석)

  • Kim, Mun-Cho;Lee, Wang-Won;Lee, Hye-Soo;Suh, Byung-Jo
    • Informatization Policy
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    • v.25 no.4
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    • pp.37-64
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    • 2018
  • This study aims to forecast the future of the Korean society via a big data analysis. Based upon two sets of database - a collection of 46,000,000 news on 127 media in Naver Portal operated by Naver Corporation and a collection of 70,000 academic papers of social sciences registered in KCI (Korea Citation Index of National Research Foundation) between 2005-2017, 40 most frequently occurring keywords were selected. Next, their temporal variations were traced and compared in terms of number and pattern of frequencies. In addition, core issues of the future were identified through keyword network analysis. In the case of the media news database, such issues as economy, polity or technology turned out to be the top ranked ones. As to the academic paper database, however, top ranking issues are those of feeling, working or living. Referring to the system and life-world conceptual framework suggested by $J{\ddot{u}}rgen$ Habermas, public interest of the future inclines to the matter of 'system' while professional interest of the future leans to that of 'life-world.' Given the disparity of future interest, a 'mismatch paradigm' is proposed as an alternative to social forecasting, which can substitute the existing paradigms based on the ideas of deficiency or deprivation.

Lexical and Phrasal Analysis of Online Discourse of Type 2 Diabetes Patients based on Text-Mining (텍스트마이닝 기법을 이용한 제 2형 당뇨환자 온라인 담론의 어휘 및 구문구조 분석)

  • Hwang, Moonl-Hyon;Park, Jungsik
    • Journal of Digital Convergence
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    • v.12 no.6
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    • pp.655-667
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    • 2014
  • This paper has identified five major categories of the T2D patients' concerns based on an online forum where the patients voluntarily verbalized their naturally occurring emotional reactions and concerns related to T2D. We have emphasized the fact that the lexical and phrasal analysis brought to the forefront the prevailing negative reactions and desires for clear information, professional advice, and emotional support. This study used lexical and phrasal analysis based on text-mining tools to estimate the potential of using a large sample of patient conversation of a specific disease posted on the internet for clinical features and patients' emotions. As a result, the study showed that quantitative analysis based on text-mining is a viable method of generalizing the psychological concerns and features of T2D patients.

Automatic Extraction of Focused Video Object from Low Depth-of-Field Image Sequences (낮은 피사계 심도의 동영상에서 포커스 된 비디오 객체의 자동 검출)

  • Park, Jung-Woo;Kim, Chang-Ick
    • Journal of KIISE:Software and Applications
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    • v.33 no.10
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    • pp.851-861
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    • 2006
  • The paper proposes a novel unsupervised video object segmentation algorithm for image sequences with low depth-of-field (DOF), which is a popular photographic technique enabling to represent the intention of photographer by giving a clear focus only on an object-of-interest (OOI). The proposed algorithm largely consists of two modules. The first module automatically extracts OOIs from the first frame by separating sharply focused OOIs from other out-of-focused foreground or background objects. The second module tracks OOIs for the rest of the video sequence, aimed at running the system in real-time, or at least, semi-real-time. The experimental results indicate that the proposed algorithm provides an effective tool, which can be a basis of applications, such as video analysis for virtual reality, immersive video system, photo-realistic video scene generation and video indexing systems.

Quantification of Myocardial Blood flow using Dynamic N-13 Ammonia PET and factor Analysis (N-13 암모니아 PET 동적영상과 인자분석을 이용한 심근 혈류량 정량화)

  • Choi, Yong;Kim, Joon-Young;Im, Ki-Chun;Kim, Jong-Ho;Woo, Sang-Keun;Lee, Kyung-Han;Kim, Sang-Eun;Choe, Yearn-Seong;Kim, Byung-Tae
    • The Korean Journal of Nuclear Medicine
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    • v.33 no.3
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    • pp.316-326
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    • 1999
  • Purpose: We evaluated the feasibility of extracting pure left ventricular blood pool and myocardial time-activity curves (TACs) and of generating factor images from human dynamic N-13 ammonia PET using factor analysis. The myocardial blood flow (MBF) estimates obtained with factor analysis were compared with those obtained with the user drawn region-of-interest (ROI) method. Materials and Methods: Stress and rest N-13 ammonia cardiac PET imaging was acquired for 23 min in 5 patients with coronary artery disease using GE Advance tomograph. Factor analysis generated physiological TACs and factor images using the normalized TACs from each dixel. Four steps were involved in this algorithm: (a) data preprocessing; (b) principal component analysis; (c) oblique rotation with positivity constraints; (d) factor image computation. Area under curves and MBF estimated using the two compartment N-13 ammonia model were used to validate the accuracy of the factor analysis generated physiological TACs. The MBF estimated by factor analysis was compared to the values estimated by using the ROI method. Results: MBF values obtained by factor analysis were linearly correlated with MBF obtained by the ROI method (slope = 0.84, r = 0.91), Left ventricular blood pool TACs obtained by the two methods agreed well (Area under curve ratio: 1.02 ($0{\sim}1min$), 0.98 ($0{\sim}2min$), 0.86 ($1{\sim}2min$)). Conclusion: The results of this study demonstrates that MBF can be measured accurately and noninvasively with dynamic N-13 ammonia PET imaging and factor analysis. This method is simple and accurate, and can measure MBF without blood sampling, ROI definition or spillover correction.

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Study Analysis of Love topics in Hook Songs - Focusing on the lyrics from 2007 to 2016 - (후크송에서의 사랑 주제 분석 연구 - 2007년부터 2016년까지의 가사를 중심으로 -)

  • Yang, Ji;Lee, Seungyon-Seny
    • Proceedings of the Korea Contents Association Conference
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    • 2017.05a
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    • pp.155-156
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    • 2017
  • 대중음악에서 작사가의 역할이 늘어나는 것은 그 시대가 갖는 문화적 특성이 노랫말에 부각되기 때문이므로 근래 청중의 관심이 높은 작사가를 추출하여 이들의 가사를 주제별로 분류한다. 주제별 분류를 통해 가사가 총 4가지 주제인 사랑, 이별, 자기표현, 유흥 등으로 나뉘는 것을 알 수 있다. 본 연구는 4가지의 주제 중 대중가요에서 가장 높은 빈도수를 보이는 주제인 사랑을 지정하여 사랑 주제에서 다양하게 세분화되는 소재를 분석한다. 이에 대중적으로 인기가 많은 가사에 나타난 구성 방식을 제안한다.

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The YouTube Video Recommendation Algorithm using Users' Social Category (사용자의 소셜 카테고리를 이용한 유튜브 동영상 추천 알고리즘)

  • Yoo, SoYeop;Jeong, OkRan
    • Journal of KIISE
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    • v.42 no.5
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    • pp.664-670
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    • 2015
  • With the rapid progression of the Internet and smartphones, YouTube has grown significantly as a social media sharing site and has become popular all around the world. As users share videos through YouTube, social data are created and users look for video recommendations related to their interests. In this paper, we extract users' social category based on their social relationship and social category classification list using YouTube data. We propose the YouTube recommendation algorithm using the extracted users' social category for more accurate and meaningful recommendations. We show experiment results of its validation.

The contents selection and organization of the practical problem focused Family and Consumer Sciences curriculum based on the characteristics and goals of the 2007 revised curriculum (2007년 개정 교육과정의 성격 및 목표에 준한 실천적 문제 중심 가정과 교육과정 내용 선정 및 조직)

  • Oh, Kyyeong-Seon;Lee, Ki-Young;Lee, Soo-Hee
    • Journal of Korean Home Economics Education Association
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    • v.23 no.3
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    • pp.91-119
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    • 2011
  • The purpose of this study was to suggest the framework reflecting the interests of students in practical problems and social issues regarding perennial problems which correspond to the characteristics and goals of the 2007 revised curriculum. This study was carried into a literature review and 406 questionnaires, filled out by the 9th grade middle school students in Seoul and Gyeonggi province, were used for analysis. The main results of this study are summarized as follows: First, six perennial problems are ascertained, Next, the middle school students were most interested in 27 items of practical problems such as mapping out their career path, self-improvement and interpersonal relations. And finally, the middle school students' important social interests are adolescence issues, job preference bias, career choice, suicide and addiction to computer, appearance and money management behavior, house ownership and conspicious consumption, and lack of time to spend with family. This study suggested the framework which corresponds to the characteristics and goals of the 2007 revised curriculum.

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A Study on the Estimation of Damage by Disaster using Satellite Images (위성영상을 활용한 재해 피해조사에 관한 연구)

  • Cho, Myeong-Heum;Cho, Jae-Woong;Choi, Woo-Jung;Lee, Cheol-Kye;Shim, Jae-Hyun
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2008.10a
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    • pp.254-261
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    • 2008
  • 최근 기상이변과 예상치 못한 지각변동으로 인해 발생하는 재해의 빈도가 증가하고 있고 그 규모 또한 커지고 있는 상황에서 보다 신속하고 정확한 피해현황 조사 및 분석을 가능하게 한 GIS, IT, 원격탐사 등 영상공간정보와 첨단기술을 활용하여 재해정보체계 구축에 주요 관심사가 되고 있다. 위성영상은 항공사진과 더불어 지표면의 변화를 신속하고 주기적으로 관찰할 수 있다는 장점을 가지고 있으며, 이를 통해 효율적인 재해 관리와 복구 대책 수립이 요구되며 많은 연구가 진행되고 있다. 본 연구에서는 경상북도 봉화지역의 재해대장에 기록된 피해유형 및 피해규모를 현장에서 직접 답사하여 실제 피해현장을 파악하였으며, 피해 전 항공영상과 피해 후 아리랑 2호 위성영상을 확보하여 영상처리 및 분석을 통해 피해식별가능 여부와 피해 현황별 피해규모를 추출하였다.

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