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        헤어 미용 소비자가 인지하는 가격이 쾌락적 쇼핑가치에 미치는 영향

        지수현 ( Su-hyun Ji ),양은진 ( Eun-jin Yang ) 한국미용학회 2017 한국미용학회지 Vol.23 No.3

        Today, consumers desire to gain more value than emotional value with which they feel pleasure by shopping. Especially, there are many consumers seeking hedonic shopping value with which they feel pleasure based on dimensions of price as well as practical price. Thus, it is increasingly necessary to establish various price strategies to stimulate emotional value depending on how consumers would perceive price. The purpose of this study is to examine the effects of dimensions of price perceived by hair beauty consumers on hedonic shopping value, provide marketing strategies accordingly, propose strategies needed for competitive advantage, and offer academic baseline data. This study targeted adult using beauty shops and analyzed 321 questionnaires with SPSS21.0. Specifically, data was analyzed using frequency analysis, factor analysis, t-test, one way ANOVA, and multiple regression analysis. The study results can be summarized as below. Dimensions of price turned out to be face-saving awareness, price awareness, and value awareness, and hedonic shopping value was one-dimensional. As for the differences in dimensions of price depending on demographic characteristics, women showed relatively higher price awareness than men, and those who often visited a beauty shop showed high face-saving awareness. Those with low monthly incomes showed low value awareness. In addition, all the three factors of dimensions of price turned out to have significant effects on hedonic shopping value. Thus, if beauty service providers would establish marketing strategies that could stimulate the diversified emotional value of consumers based on the study results, they would be able to take competitive advantage.

      • OpenCV 라이브러리와 Angle-based Circle Detection 알고리즘을 통한 철근 검수 시스템 구축

        이재훈(Jae-Hoon Lee),지수현(Su-Hyun Ji),김우제(Woo-Je Kim) 한국정보기술학회 2016 Proceedings of KIIT Conference Vol.2016 No.6

        본 연구의 목적은 오픈소스 기반의 컴퓨터 비전 처리 소프트웨어인 OpenCV(Open Source Computer Vision)에서 제공하는 라이브러리들의 사용을 기반으로 한 자동 철근 검수 시스템의 구축이다. 객체 검출에 사용되던 기존 방식인 CHT(Circular Hough Transform)과 새로 제안한 ACD(Angle-based Circle Detection) 알고리즘을 비교하였다. 또한 새로운 장치의 도입을 통해 검수 시스템의 정밀도를 높이고, 더 나은 결과를 도출하였다. The purpose of this paper is to develop an automatic counting system for iron rods, which is based on OpenCV(Open Source Computer Vision) libraries which are open-source software for computer vision. We compared a CHT(Circular Hough Transform) and an ACD(Angle-based Circle Detection) algorithm. Also we designed a new equipment to increase the precision of the counting system and obtained better experimental results with the equipment.

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