• 패션비즈니스
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• 제16권1호
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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.

• 한국의상디자인학회지
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• 제25권3호
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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.

• 한국식생활문화학회지
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• 제20권5호
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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'.

• 한국컴퓨터정보학회논문지
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• 제25권9호
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• pp.53-62
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• 2020

최근 연구된 상품 추천 서비스들은 고객들의 구매 이력을 통해서만 추천이 이루어졌다. 본 논문에서는 구매 이력을 통해 추천뿐만 아니라 고객이 상품을 고를 때 취하는 행동 패턴을 분석하여 관심도가 높은 광고를 노출하는 행동 패턴 분석 기반 디지털 사이니지 서비스를 제안한다. 이 서비스는 고객행동 패턴을 분석하여 실질적으로 관심을 가지는 상품에 대해 관심도를 추출한다. 추출된 관심도와 고객들의 구매 이력을 Wide & Deep 모델을 통해 학습하고, 이를 바탕으로 MF(Matrix Factorization) 모델을 통해 다른 상품들의 희소 벡터를 예측한다. 예측된 상품 관심도에 대한 순위를 도출하고, 적합한 광고를 노출하기 위해 고객과 상호 작용할 수 있는 인도어 사이니지를 활용한다. 본 논문의 서비스를 통해 온라인뿐만이 아닌 오프라인 환경에서도 고객의 관심 정보를 파악하고 단순히 무작위로 노출하는 광고가 아닌 고객에게 적합한 광고를 제공하여 만족도 높은 구매 환경이 조성될 것이다.

• 한국의류학회지
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• 제41권1호
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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.

• 한국식품조리과학회지
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• 제16권6호
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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.

• 한국경영과학회지
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• 제34권2호
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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%.

• 복식
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• 제56권7호
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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.

• 한국가금학회지
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• 제28권3호
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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%)".

• Journal of Multimedia Information System
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• 제5권3호
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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.