• Journal of Agricultural Extension & Community Development
• /
• v.23 no.1
• /
• pp.101-114
• /
• 2016

Local food in rural area as a rural growth tool has to adapt to current market mechanisms by communication and promotion techniques. We need to know what and how local food consumers seek their benefits to market segmentations. The primary purpose of this study was to segment and profile the benefits of local food consumer so as to provide a better understanding of local food in Korea. A self-administered survey was obtained from 448 food consumer in the study area. Three distinct segments were identified based on the benefits; profit seeker (39.7%), passive consumers (19.0%), and value seeker (42.2%), and these were profiled with respect to socio-demographics and local food attitude-related features.

• The Research Journal of the Costume Culture
• /
• v.21 no.2
• /
• pp.301-308
• /
• 2013

The purpose of this research is to classify fashion consumers based on their attitudes, goals and values of life. It is to understand what drives human behaviors as well as to learn the various directions people live in society using Bangkok people as the samples. Online and on-site questionnaire survey is employed. Questions are designed to focus on 7 aspects of life, ranging from private life, professional life, social life, politics, culture and information interaction, household business and finance, and consumption of products and services in the main market. The research results can be used to classify consumers' lifestyles into 20 major and numerous minor groups of lifestyle. Lifestyles of male and female samples are compared to investigate their different patterns and directions. Fashion trend diagram is used to analyze the overlapped lifestyles of mass consumers. The lifestyle segmentations would benefit to designer and fashion branding team in understanding their target group deeper inside the background of their behaviors.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2013.10a
• /
• pp.90-93
• /
• 2013

This paper presents a multistage adaptive thresholding method and circular Hough transform for pupil detection. Multistage adaptive thresholding is a thresholding method that applies local image statistic within a neighborhood variable and the global thresholds. Therefore, the method can adopt the benefit of local thresholding and prevent an over segmentation at the same time because of the global image information. To detect a pupil, a circular Hough transform is applied to it in which the pupil pattern is considered as a circle shape. The experimental results show the reliability of our proposed method in detecting pupil properly.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.19 no.5
• /
• pp.699-712
• /
• 1995

The purpose of this study was 1) to identify the constructing factors of jeans brand image 2) to analyze the domestic jeans market using perceptual maps of three benefit segments based on stdy(I). The questionnaire consisted of brand preference, attribute of brand image and wearer image was selected from the previous studies or developed for this study. The subjects were 350 male and female university students who have purchased at least one of the nine jeans wear brand selected for the study. For statistical analysis, reliability test, factor analysis, MANOVA, and multiple regression were used. The results of this study were as follows: 1. Symbolism, quality, and economy were found out as constricting factors of brand image in the attribute dimensions, while innovative and active image were found out in the wearer image dimensions. 2. 9 Perceptual maps of attribute dimensions and 3 perceptual maps of wearer image dimensions were constructed and each ideal vector was drawn.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.24 no.7
• /
• pp.953-963
• /
• 2000

This study intended to analyse the factors of brand image and brand image positioning of domestic 20’s female apparel(formal wear) among the consumer groups segmented by benefits sought in apparel and to provide marketing strategy of brand image. The subject of this study were 605 working women in their 20’s living in seoul, and the model sampling was done by convenienced sampling method based on the subjects age and occupation. Survey based on references and former studies was used. and statistical methods such as frequency, percentage, mean, factor analysis, preference regression were applied. The results of this study were as follows. 1. The factor structures of brand image were classified into symbolism/aesthetics, and practicality. 2. Perception, ideal preference vector, and brand preference of brand image were proven to be significantly different among the four segmented consumer groups.

• The Research Journal of the Costume Culture
• /
• v.6 no.3
• /
• pp.34-45
• /
• 1998

The purposes of this study were 1) to segment the female formal suit market based on clothing benefits sought by housewives in Checheon 2) to compare the real and ideal self-image's relative power on the clothing benefits factor, and 3) to develop a profile of each segment concerning self-image (real and ideal), and demographics. The data wer collected via a questionnaire from housewives. Using factor and cluster analysis, four groups were identified and labeled as 1) Easy care oriented users 2) Aesthetics/fashion oriented users 3) Low benefit oriented users. ANOVA, Duncan's Multiple Range Test, Chi-square statistics revealed significant differences among the three groups according to clothing benefits, real and ideal self-image and demographic variables.

• The KIPS Transactions:PartB
• /
• v.12B no.3 s.99
• /
• pp.239-246
• /
• 2005

Biologist must have to do 2DGE biological experiment for Protein Search and Analysis. This experiment coming into being 2 dimensional image. 2DGE (2D Gel Electrophoresis : two dimensional gel electrophoresis) image is the most widely used method for isolating of the objective protein by comparative analysis of the protein spot pattern in the gel plane. The process of protein spot analysis, firstly segment protein spots that are spread in 2D gel plane by image processing and can find important protein spots through comparative analysis with protein pattern of contrast group. In the algorithm which detect protein spots, previous 2DGE image analysis is applies gaussian fitting, however recently Watersheds region based segmentation algorithm, which is based on morphological segmentation is applied. Watersheds has the benefit that segment rapidly needed field in big sized image, however has under-segmentation and over-segmentation of spot area when gray level is continuous. The drawback was somewhat solved by marker point institution, but needs the split and merge process. This paper introduces a novel marker search of protein spots by watersheds-based hierarchical threshold, which can resolve the problem of marker-driven watersheds.

• 제어로봇시스템학회:학술대회논문집
• /
• 2004.08a
• /
• pp.1889-1891
• /
• 2004

The differential white blood cell count plays an important role in the diagnosis of different diseases. It is a tedious task to count these classes of cell manually. An automatic counter using computer vision helps to perform this medical test rapidly and accurately. Most commercial-available automatic white blood cell analysis composed mainly 3 steps including segmentation, feature extraction and classification. In this paper we concentrate on the first step in automatic white-blood-cell analysis by proposing a segmentation scheme that utilizes a benefit of active contour. Specifically, the binary image is obtained by thresolding of the input blood smear image. The initial shape of active is then placed roughly inside the white blood cell and allowed to grow to fit the shape of individual white blood cell. The white blood cell is then separated using the extracted contour. The force that drives the active contour is the combination of gradient vector flow force and balloon force. Our purposed technique can handle very promising to separate the remaining red blood cells.

• Journal of Korean Society of Rural Planning
• /
• v.13 no.2
• /
• pp.93-105
• /
• 2007

Allotment gardens with log house in rural area as a rural growth tool are able to adapt to current market mechanisms by communication and promotion techniques. It is important to know what and how allotment garden's users seek their benefits to market segmentations. The primary purpose of this study was to segment and profile the benefits of allotment garden's potential users so as to provide a better understanding of allotment garden in Korea. A self-administered survey was obtained from 298 allotment gardens users in the study area. Four distinct segments were identified based on the benefits; relaxer(23.7%), educator(21.9%), want-it-all gardener(42.3%), and grower(12.2%), and these were profiled with respect to socio-demographics and civic garden-related features. We suggest that the relaxers are target market of allotment gardens with log house because they have willingly intented to pay a higher rent.

• Journal of Fashion Business
• /
• v.18 no.4
• /
• pp.97-113
• /
• 2014

This study investigates consumer's traits of market segmentation based on the apparel benefits. The subjects were 302 college students living in Yunnam, China. The mean, ANOVA, factor analysis, Duncan test, and K-means cluster analysis were used for statisticals analysis. The results of this study are as follows. The college students were classified, into six subdivisions, according to the apparel benefits by cluster analysis: indifference group, utility pursuit group, hedonic/brand pursuit group, individuality pursuit group, social recognition/fashion pursuit group, and pursuit benefits-minded group. In the factors of happiness-pursuing and life-centered of materialism, significant differences were found according to the groups of apparel benefits, and all factors of symbolic consumption and brand loyalty were found to have significant differences according to the groups of apparel benefits. The evaluation criteria of clothing were significantly different, depending on apparel benefits subdivision in criteria of aesthetic, socio-psychological, and utility. The use of information was shown to have significant differences, according to the groups of apparel benefits. The study results are highly expected to be utilized as useful sources in marketing plans for the midwest of China.