• Title/Summary/Keyword: Purchasing pattern

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Construction of Fashion Cultural Goods Design Database using Gaya Relics (가야(伽倻) 유물을 활용한 패션문화상품 디자인 데이터베이스 구축)

  • Song, Mi-Jung;Park, Hye-Won
    • Journal of Fashion Business
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    • v.16 no.1
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    • pp.160-179
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    • 2012
  • One of the representative local cultures in Gyeongnam is Gaya culture. This research aim s to develop fashion cultural goods design applying Gaya relics. Based on the study on cu ltural character, formative characteristics of relics, and questionnaire survey on cultural reco gnition and fashion cultural goods purchasing status of Gaya, the plan of Gaya fashion cul tural goods design was made and progressed. To develop design pattern, TexPro Design CAD was used. As to selection of relics to extract motif, Mounted vessel in the shape of warrior on horseback, Chariot wheel-shaped Pottery, Armor and Shield were selected. The main concept of design was 'Timeless Images of Gaya' to re-illuminate a long forgotten p eriod of Gaya, and to create modernization image of ancient period into modern living. By using oring image scale of IRI C or Lab, the 4 main themes of 'Timeless Images of Gaya' including 'Romantic Gaya', 'Dynamic Gaya', 'E -friendly Gaya', 'Modern Gaya' were constructed. According to the 4 themes, basic pattern, repeating pattern, application patter n were developed. And applied cases were developed to seek reality of design in the fashi on cultural goods. Also web page was constructed to develop educational and industrial accessibility and utilization in collaboration with design patterns and fashion cultural goods ap plying cases.

Development of Tyvek Fashion Product and Textile Pattern Design based on Columnar Joint (주상절리를 활용한 텍스타일 패턴디자인과 타이벡 패션상품 개발)

  • Heo, Seungyeun
    • Journal of the Korea Fashion and Costume Design Association
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    • v.25 no.3
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    • pp.127-141
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    • 2023
  • The purpose of this study is to develop a textile pattern design using the columnar joints motif and a Tyvek fashion clutch bags using it. As a research method, first, through a literature review, columnar joint and Tyvek are understood, and design cases were considered. Second, through a survey, the purchase perception and design preference of columnar joints cultural products were analyzed. Third, based on the results of the survey on color and print, the pattern design for each type of columnar joint were developed, and the uv-printed Tyvek clutch bag was developed. The results of this study are as follows. First, the reason why the public was not attracted to the purchase of cultural products was dissatisfaction with practicality, price adequacy, and aesthetics. Therefore, it was analyzed that quality, practicality, price, carry-on storage, collection value, and casualness, as well as aesthetic design were important factors for purchasing factors pursued by consumers. Second, consumers preferred small goods the most for cultural products, and they pursued the use of colorful and contrasting colors, modern and geometric patterns, and eco-friendly materials, such as Tyvek. Third, columnar joint can be classified into three cross sections and four arrangements. The design unit of the columnar joint could be expressed as a hexagonal column, and 12 different pattern designs could be developed according to the cross sections and arrangements type. In addition, it was found that it was easy to produce fashion products suitable for the sensibility of modern people by utilizing Tyvek materials.

A Study on the Well-being Related Awareness and Dietary Life Pattern in Urban Housewives (도시 주부들의 웰빙에 대한 인식과 식생활유형에 대한 연구)

  • Park, Young-Sim;Myung, Choon-Ok;Lee, Ki-Wan;Nam, Hae-Won
    • Journal of the Korean Society of Food Culture
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    • v.20 no.5
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    • pp.574-583
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    • 2005
  • To investigate the importance and practice of well-being related dietary life pattern such as purchasing food materials, food habits and eating out, a survey was conducted by questionnaire and 5-point Likert score in Seoul and Gyeonggi-Do, September, 2004 and April, 2005. The responses of 732 housewives who were over 40 years were analyzed by SPSS package program. The results were as follows. Most of them were 40-49 years(74.4%), graduated highschool (66.6%) and their family type was nuclear family type(81.4%). Almost half of them had full-time job (37.1%) and part time job (15.4%). The average importance score of 'food habits', 'purchasing food materials' and 'eating out' were $4.15{\pm}0.91,\;4.06{\pm}0.96\;and\;3.25{\pm}1.01$ respectively. But the average practice score of 'food habits' was greater($3.58{\pm}1.06$) than 'purchasing food materials ($3.19{\pm}1.19$)' and 'eating out($2.54{\pm}1.05$)'. Among 5 types of 'food habits', the type of 'cut down on eating fast food' had the greatest score of importances ($4.31{\pm}0.97$) but the difference between importance and practice was greatest(0.94). Also 'consume home-made food rather than processed or ready to food' showed great scores in importance ($4.28{\pm}0.87$) and practice($3.87{\pm}1.04$). 'Consume fruits and vegetables rather than meats' and 'avoid heavy use of oils' had the importance score of $4.04{\sim}4.19$. But the practice score of 'avoid heavy use of oils' was the lowest($3.39{\pm}0.97$). Among four types of purchasing of food materials, 'purchase domestic agricultural food' was greatest($4.37{\pm}0.78$) and 'don't purchase genetically modified food' 'purchase organic food' and 'purchase whole grain products' were also great ($3.92{\sim}3.99$). But the practice score of 'purchase organic/low chemical foods($2.77{\pm}0.98$)' and 'don't purchase genetically modified food($2.99{\pm}1.41$)' were lowest. 'Go to well being restaurant' in three types of 'eating out' showed greatest in importance($3.35{\pm}0.96$) but the practice score($2.47{\pm}0.10$) was lower than the importance score. Also 'choose menu with comparing calories' had the lower score in practice($2.45{\pm}1.06$) rather than importance score($3.22{\pm}1.03$). In regarding to 'food habits', the importance score were significantly affected by type of food expense (p<0.05) and health status (p<0.05). The importance score of 'purchase food materials' were significantly affected by the type of food expense (p<0.001), type of residence(p<0.05), and self assessment of weight(p<0.05). Monthly income, especially more 400 million won, was the commonly significant effector in practice score of 'purchase food materials' and 'eating out'.

Digital Signage service through Customer Behavior pattern analysis

  • Shin, Min-Chan;Park, Jun-Hee;Lee, Ji-Hoon;Moon, Nammee
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.9
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    • pp.53-62
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    • 2020
  • Product recommendation services that have been researched recently are only recommended through the customer's product purchase history. In this paper, we propose the digital signage service through customers' behavior pattern analysis that is recommending through not only purchase history, but also behavior pattern that customers take when choosing products. This service analyzes customer behavior patterns and extracts interests about products that are of practical interest. The service is learning extracted interest rate and customers' purchase history through the Wide & Deep model. Based on this learning method, the sparse vector of other products is predicted through the MF(Matrix Factorization). After derive the ranking of predicted product interest rate, this service uses the indoor signage that can interact with customers to expose the suitable advertisements. Through this proposed service, not only online, but also in an offline environment, it would be possible to grasp customers' interest information. Also, it will create a satisfactory purchasing environment by providing suitable advertisements to customers, not advertisements that advertisers randomly expose.

A Survey on the Wear Test and Product Size of Tight Fitted Blue Jeans -Focused on the Females in Their 20's- (타이트 핏 청바지의 착용 실태 및 제품 치수 조사 -20대 여성을 중심으로-)

  • Cho, Mi-Na;Yi, Kyong-Hwa
    • Journal of the Korean Society of Clothing and Textiles
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    • v.41 no.1
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    • pp.43-59
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    • 2017
  • This study used data from a survey of adult Korean women in their twenties to learn their current practices for wearing and purchasing tight-fit jeans available on the market as well as perceptions regarding size measurements and satisfaction levels. We then determined product sizes and pattern measurements for the type of jeans worn. This study also analyzed discrepancies in product size measurements among brands to determine whether the measurements were generally suitable for average body shapes and measurements of women in their twenties. The study results were as follows. First, the survey asked women in their twenties about current practices in wearing jeans. Many respondents answered that their preferred fit is "a perfectly snug fit" and that the most common fit style of jeans was the skinny fit. Second, we selected a test pair of jeans with an identical fiber content from brands that women prefer to wear, according to the survey results. We researched the product measurements of the size respectively labeled 27 inches for each of the 8 brands' test jeans; consequently, the results showed that there were significant differences among the brands in the product measurements of each part of jeans. Third, we analyzed the pattern measurements of 8 selected brands for each area and identified pattern characteristics by brand.

A Study on the Housewives Cognition and Consumption Pattern of Korean Rice Cake (주부들의 떡에 대한 인식 및 섭취실태에 관한 연구)

  • 강근옥;이현자
    • Korean journal of food and cookery science
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    • v.16 no.6
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    • pp.505-510
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    • 2000
  • The purpose of this study was conducted to find out the housewives cognition and consumption pattern of Korean rice cake. The subject were 315 housewives lived in mainly the capital region(Seoul and Kyonggi-do). A survey questionnaire consisted of three parts including demographic backgrounds, cognition and consumption pattern of Korean Rice Cake. The results obtained would be summarized as follows; 1. Almost all of the housewives(95.9%) were cognized that Korean rice cake is a traditional food, but their cognition of the Korean rice cake as a important food in present dietary life(habits) was very low(22.5%). 2. Almost all of the housewives(94.0%) were cognized that Korean rice cake is a nutritional food and most of them(75.0%) were answered that there are below 50 kinds of Korean rice cake. 3. Although they could make themselves the Korean rice cake(75.9%), didn't make it at home and they were answered(59.4%) for the reason that the recipe for the Korean rice cake is hard. 4. The results of purchasing frequency rate showed that 62.2% of housewives were purchased one to two months and they were purchased most frequently on the birth day followed by a memorial sacrifice day, a festival day, visit and invitation of quest. 5. 98.4% of respondents were answered that the taste of Korean rice cake is good and 96.5% of them were cognized that its price is expensive. 6. The most preferred kinds of Korean rice cakes showed that Red bean Sirudock, Baekseolgi, Injeolmi, Songpyeon, Yaksik etc.

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Credit Prediction Based on Kohonen Network and Survival Analysis (코호넨네트워크와 생존분석을 활용한 신용 예측)

  • Ha, Sung-Ho;Yang, Jeong-Won;Min, Ji-Hong
    • Journal of the Korean Operations Research and Management Science Society
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    • v.34 no.2
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    • pp.35-54
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    • 2009
  • The recent economic crisis not only reduces the profit of department stores but also incurs the significance losses caused by the increasing late-payment rate of credit cards. Under this pressure, the scope of credit prediction needs to be broadened from the simple prediction of whether this customer has a good credit or not to the accurate prediction of how much profit can be gained from this customer. This study classifies the delinquent customers of credit card in a Korean department store into homogeneous clusters. Using this information, this study analyzes the repayment patterns for each cluster and develops the credit prediction system to manage the delinquent customers. The model presented by this study uses Kohonen network, which is one of artificial neural networks of data mining technique, to cluster the credit delinquent customers into clusters. Cox proportional hazard model is also used, which is one of survival analysis used in medical statistics, to analyze the repayment patterns of the delinquent customers in each cluster. The presented model estimates the repayment period of delinquent customers for each cluster and introduces the influencing variables on the repayment pattern prediction. Although there are some differences among clusters, the variables about the purchasing frequency in a month and the average number of installment repayment are the most predictive variables for the repayment pattern. The accuracy of the presented system leaches 97.5%.

A Basic Study of Pattern Alteration for People with Body Deformities -Focusing on the Brain Injured Handicapped- (특이 체형 패턴 보정을 위한 기초 연구 -뇌병변 장애인을 중심으로-)

  • Na Hyun-Shin
    • Journal of the Korean Society of Costume
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    • v.56 no.7 s.106
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    • pp.121-132
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    • 2006
  • The feeling of self-confidence, the sense of well-being and of social acceptance that comes from the wearing clothes that is functional, appropriate, and attractive, is important to all the people, but to those with physical limitations, it is much more important. Finding well-fitting clothing can be a big challenge for them. This study focus on the cut of present available ready-to-wear garments and commercial patterns giving better fit and greater comfort and satisfaction. Subjects were limited to the people with body deformities caused by the brain injury. This can also meet the needs of silver groups in the aging society under the terms of human values and human rights. This study is based on the questionaires and interviews to identify the problems of ready-to-wear or commercial patterns, purchasing behaviors, and the demand for the functional clothes. This study focused on following objectives; 1) to discover what the problems are which confront the people with body deformity, 2) to find the problems in ready-to-wear garments or commercial patterns, 3) to provide information of pattern alteration f3r people with body deformities. A major limitation to the study is that the subjects numbers are limited and the distribution is not even. For the future study, large database with wide varieties of age and fitting test are suggested.

The Perception and Consumption Pattern of Broiler Chicken in Korea (닭고기에 대한 소비자 인식도 및 소비형태에 관한 연구)

  • 김종원;박승용
    • Korean Journal of Poultry Science
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    • v.28 no.3
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    • pp.193-205
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    • 2001
  • The most prevailing consumption pattern of chicken was "Buy fresh and cook at home (79.8%)". The frequency of eating chicken dish was about "Twice a month". Total average of degree of Preference is "2.30". It is very much close to "Like (2.0)" rather than "Average (3.0)". The degree of preference of chicken decrease as the age increase. About 30% of the housewives have the experience of buying chicken "Cut-up". But "Whole chicken (79.7%)" was still used mostly for chicken dish at home. As the education background improves or living expense increases, housewives purchase chicken "Cup-up" more frequently. The major criteria in purchasing chicken was "Hygiene (67.4%)""Quality (55.2%), "Expiration date (36.7%)" follows next. The groups of ′Above 50 years′, ′Graduate school′ and ′More than 3 million won′show greater interest about "Health" than any other groups. Major chicken dish at home in Korea was "Chopped hot chicken (70.7%)". "Boiled chicken soup (43.2%) \" and "Ginseng chicken soup (39.3%)" follows next. "Order for delivery (57.4%)" increased rapidly for chicken consumption. Croup of ′20~30 years′ order chickens for delivery more frequently than other groups. But as the age of housewives increases, they cook at home more frequently. The most preferred chicken dish for dining-out were "Fried chicken (69.4%)" and "Spicy chicken (57.4%)". The preference of Korean traditional dish for dining out was decreasing except "Chuncheon chicken rib (14.2%)".2%)".

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Analysis of Market Trajectory Data using k-NN

  • Park, So-Hyun;Ihm, Sun-Young;Park, Young-Ho
    • Journal of Multimedia Information System
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    • v.5 no.3
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    • pp.195-200
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    • 2018
  • Recently, as the sensor and big data analysis technology have been developed, there have been a lot of researches that analyze the purchase-related data such as the trajectory information and the stay time. Such purchase-related data is usefully used for the purchase pattern prediction and the purchase time prediction. Because it is difficult to find periodic patterns in large-scale human data, it is necessary to look at actual data sets, find various feature patterns, and then apply a machine learning algorithm appropriate to the pattern and purpose. Although existing papers have been used to analyze data using various machine learning methods, there is a lack of statistical analysis such as finding feature patterns before applying the machine learning algorithm. Therefore, we analyze the purchasing data of Songjeong Maeil Market, which is a data gathering place, and finds some characteristic patterns through statistical data analysis. Based on the results of 1, we derive meaningful conclusions by applying the machine learning algorithm and present future research directions. Through the data analysis, it was confirmed that the number of visits was different according to the regional characteristics around Songjeong Maeil Market, and the distribution of time spent by consumers could be grasped.