• 제목/요약/키워드: Tastes

검색결과 725건 처리시간 0.023초

산업체 근로자들의 식행동과 기호도에 관한 연구 (A Study on the Eating Behaviors and the Preferences of Industrial Workers in Korea)

  • 안빈;김상연
    • 동아시아식생활학회지
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    • 제9권3호
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    • pp.336-344
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    • 1999
  • This study was carried out to investigate the eating behaviors and the preferences of industrial workers in Korea. This survey was conducted from May 20 to June 20, 1998 by constructed questionnaires and the subjects were 364 males and 588 females. The results obtained were summarized as follows: 1) The subjects who didn't have breakfast regularly were 41.7% because they didn't have enough time to eat. The main type of breakfast were cooked rice. 2) The subjects who used the company cafeteria were 60.5% and men used the company cafeteria more than women. The most favorite side dishes by the subjects were roasted foods and next side dishes were seasoned foods. There were not significantly different the kinds of favorite side dishes between men and women. The main reason that the subjects preferred to a specific side dish was 'delicious'. 3) Foods and dishes that the subjects could approached frequently and easily made the eating habits changed. The most favorite meal types of the subjects were Korean foods because those were good taste for the subjects. The favorite snacks by men were ramyon and those by women were rolled rice(Gimbab). 4) The pan-fried foods(Jun) were the most favorite food in the cloudy day and the salads were the most favorite food in the sunny day. The most favorite taste of the subjects were light and clear tastes and next favorite taste of the subjects was salty tastes. This study shows that the eating habit of industrial workers could be changed by easily and frequently approached food and weather. In addition, the lacks of time was main reason that the subjects couldn't have regular breakfast. Therefore, it needs to develop the desirable programs and diet menus to consider the situation of the industrial workers and weather.

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전통 소재 음료의 개발 동향 및 바람직한 개발방향 (The Movement and Desirable Direction of Developing Beverages using Traditional Ingredients)

  • 조운호
    • 한국식품저장유통학회:학술대회논문집
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    • 한국식품저장유통학회 2002년도 창립 10주년 기념 국제학술심포지움
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    • pp.99-108
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    • 2002
  • Since the introduction of carbonated drinks in the 1950s, 'cola' and 'cider'along with orange juice, the dominator of the juice market, have been two main streams of the Korean beverage market. This market pattern has caused the following effects; a. Economical loss due to the import of foreign brands - royalty payments to x company. b. Loss of opportunity to develop a domestic beverage market. c. Inflow of an unfiltered foreign culture. This study shows a change in the Korean beverage market. In the 1980s. consumers' tastes started to change as a trend of developing beverages using traditional Korean ingredients started to begin. On the basis of this change, I would like to discuss the desirable path in developing beverages using traditional ingredients. 'Traditional ingredients'refers to the ingredients that the Korean people have enjoyed within the course of their life, whether it be via food or beverage. These ingredients have been chosen by our people as first rate for centuries. How to modernize and develop these work-in-progress products is the desirable direction for the development of drinks using traditional Korean ingredients. This study also shows various examples of how Korean traditional ingredients and the Western scientific civilization can fuse together to develop a modern and value-added product. One project in particular, created a method of producing a beverage using rice a simple traditional ingredient, marking it a hit product. Through this example, I present the desirable direction of how to develop a modernized drink using traditional ingredients that can change both the consumers' current value on the Korean beverage market as well as create a new pattern of consumer tastes.

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Association between the Number of Unfamiliar Vegetables and Dietary Factors of Elementary School Children

  • Song, Kyunghee;Lee, Hongmie
    • Preventive Nutrition and Food Science
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    • 제18권4호
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    • pp.280-286
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    • 2013
  • Despite well established health benefits, today's children do not eat enough vegetables. The purpose of this study was to determine the association between the number of unfamiliar foods in the vegetable food group and the preference for these foods and dietary factors. Subjects were 1,072 children in 5th and 6th grades from elementary schools located in 4 cities in Gyeonggi-do, Korea. A two-page questionnaire consisted of questions asking about the subjects' preference and familiarity for 64 foods in the vegetable group, preferences for three fast foods, four types of vegetable dishes, and six tastes. Also included in the questionnaire were questions assessing subjects' adherence to national dietary guidelines. The subjects were divided into quintiles according to the number of unfamiliar vegetables; the 1st quintile (N=226) was children who had less than 14 unfamiliar vegetables and the 5th quintile (N=229) was more than 29. Compared to the children in the other quintiles, the children in the 5th quintile had a significantly lower adherence to national dietary guidelines regarding consumptions of vegetable and protein sources, regular exercise, awareness of desirable height and weight, and reading food labels, as well as total (P<0.05). The preferences for bland tastes (P<0.05), salads (saengchae, P<0.01), stir-fried vegetables (P<0.01), and several vegetable items (P<0.05) were significantly lower in the 5th quintile compared to the other quintiles. This study proposes the potential benefits of teaching children names of a variety of vegetables to improve their dietary factors such as food preferences and dietary habits.

건축 공간적 가변성에 대응하는 설비 시스템에 관한 연구 (Research and study on facility system good enough to address the changing aspects of building space)

  • 이재용;윤해동;김석완
    • 대한설비공학회:학술대회논문집
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    • 대한설비공학회 2006년도 하계학술발표대회 논문집
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    • pp.554-559
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    • 2006
  • The currently common housing is obviously going to be under the reconstruction in just $20{\sim}30$ years, with the failure to satisfy the improvement of national income, diversification and advance of national demand. But, reckless and random reconstruction Induce the serious problem of environmental pollution involving the loss of national treasury and excess materials of constructions. In order to address such problem, the common housing of longevity, which can adequately cope with the changes of times and tastes of inhabiters, in the future, is arising as an alternative. Recently, the groundbreaking phase of common housing is also being considered as another alternative to resolve such problem. The common housing of longevity has an advantage to create a free and comfortable space in accordance with the tastes of inhabiters, as well as expanding the durability of building. But, the current facility system has an inability to deal with the sort of housing. Thus, the research paper is designed to make an analysis on problems of common housing in South Korea, which has made it difficult to handle a changing space, and based on the analysis, the paper is intended to make a review on the future-oriented facility service appropriate enough to deal with the changing aspects of space.

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인공지능 기반 개인 맞춤형 의류 추천 서비스 개발 (Development of personalized clothing recommendation service based on artificial intelligence)

  • 김형숙;이종혁;이현동
    • 스마트미디어저널
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    • 제10권1호
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    • pp.116-123
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    • 2021
  • 온라인 패션 시장의 빠른 성장과 이로 인한 온라인 선택의 확대로 인해 소비자들은 더욱 개인화된 추천 서비스에 대해 요구가 커지고 있음에도 불구하고 판매자는 수많은 소비자를 개별적으로 직접 대응할 수 없다는 문제점이 있다. 소비자의 이러한 개인화 니즈를 충족시키는 방안으로 이미지에 대한 태깅이 이루어지고 있으나 사람이 태깅하는 경우 사람마다 태깅이 매우 주관적으로 이뤄지고 있고 인공지능 태깅은 단어가 매우 제한적으로 사용자의 니즈를 충족시켜주지 못하고 있다. 이러한 문제를 해결하기 위해 인공지능으로 이미지에 포함된 제품의 형태, 속성, 감성 정보를 인식하고 이러한 정보를 코드화하고 코드의 조합으로 그 이미지가 가지고 있는 모든 정보를 나타낼 수 있는 알고리즘을 설계하였다. 이 알고리즘을 통해서 지금까지 획득이 불가능했던 패션 이미지의 감성, 패션 이미지가 표현하는 TPO 정보 등 이미지가 가지고 있는 다양한 정보를 실시간으로 획득하는 것이 가능하게 되었다. 이러한 정보를 기반으로 소비자의 취향을 분석하는 단계에서 넘어가 소비자의 취향에 당시의 유행, TPO 정보까지 결합하는 초개인화된 의류 추천이 가능해진다.

대학생의 중고 의류 제품 구매 동기가 재구매 의도에 미치는 영향 (The Effect of College Students' Motivation to Purchase Used Clothing Products on Repurchase Intention)

  • 석혜정;조신현
    • 한국의상디자인학회지
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    • 제25권1호
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    • pp.49-63
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    • 2023
  • The purpose of this study is to investigate the current status and motives of buying second-hand clothing among university students and to suggest a plan to activate second-hand clothing transactions. In order to discover the effect of the buying motives on the purchasing of second-hand clothing, 112 university students who have purchased second-hand clothing over the past six months were surveyed and their responses were used for analysis. As a result of the analysis, it was found that design differentiation, habitual use, and economical factors had a meaningful effect on the purchase of second-hand clothes. Second-hand clothes have a positive environmental perception, but that perception did not impact the purchasing of second-hand clothes. It is necessary to raise the awareness and social movement around second-hand clothing and teach consumers the environmental benefits and sustainability of second-hand clothing. An activation plan for the second-hand clothing market is: 1. Proposes various market subdivisions that meet the characteristics and tastes of consumers that lead to the purchase of used clothing. In this study, two economic factors were found among the buying motives. The first is purchasing second-hand clothing at a very low price, and the second is finding luxurious expensive items or unique values at a lower price. Therefore, it is necessary to find various markets segments that suit consumer tastes by checking consumer characteristics and detailed factors. 2. Nurture second-hand clothing processing brands for the diversification of the second-hand clothing market. 3. There is an urgent need for quality classification, quality assurance, and the standardization of second-hand clothing. This study is meaningful in that it explored the possibility of having a positive effect on activating the second-hand clothing market.

빅 데이터를 활용한 레트로 패션과 뉴트로 패션에 대한 인식 비교 (Comparative Analysis in Perception of Retro Fashion and New-tro Fashion Using Big Data)

  • 백경자;김정미
    • 한국의상디자인학회지
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    • 제25권1호
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    • pp.83-96
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    • 2023
  • The purpose of this study is to compare and analyze the perception of retro fashion and new-tro fashion using big data. TEXTOM allowed the collection of big data on the words 'retro fashion' and 'new-tro fashion', which was refined afterwards. As for the data collection period, Jan. 1, 2019 to Nov. 30, 2022 was set. A top 50 list of words were extracted from this data based on appearance frequency. The extracted words were processed through Network centrality analysis and CONCOR analysis using Ucinet 6. The results are as follows. 1) In retro fashion, the appearance frequency of 'style' was the highest, followed by 'sensibility', 'color', 'trend', 'fashion', and 'brand'. These words came up with high TF-IDF values. Network centrality analysis discovered that 'color', 'style', 'trend', 'sensibility', and 'design' had high level of connectivity with other words. CONCOR analysis showed a total of four significant groups; trends, styles, looks, and photos. 2) In new-tro fashion, the appearance frequency of 'retro' was the highest, followed by 'trend', 'generation', 'style', 'brand', and 'fashion'. These words also came up with high TF-IDF values. Network centrality analysis found that 'retro', 'trend', 'generation', and 'brand' had high level of connectivity with other words. CONCOR analysis showed a total of four significant groups; style, brand, clothing, and trend. 3) New-tro fashion is included in retro fashion in that it reproduces the styles of the past. However, it is taken completely differently from generation to generation. Unlike the older generations, millennials actively accept newly created clothes and brands based on the past styles. They perceive it as a fashion that reveals their own unique tastes and tastes.

온라인 쇼핑 플랫폼의 개인화 추천 시스템이 소비자의 구매의도에 미치는 영향 (The Effect of the Personalized Recommendation System of Online Shopping Platform on Consumers' Purchase Intention)

  • 로영영;김종기
    • 경영정보학연구
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    • 제25권4호
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    • pp.67-87
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    • 2023
  • 온라인 쇼핑 플랫폼은 개인화 추천 시스템을 활용하여 소비자의 개인 정보와 행동 데이터를 수집, 분석 및 마이닝을 통해 소비자에게 맞춤형 추천 서비스를 제공함으로써 소비자의 잠재적인 쇼핑 욕구를 자극한다. 본 연구는 S-O-R 모델을 기반으로 온라인 쇼핑 추천이 구매의도에 미치는 영양을 분석하기 위하여 시스템 품질인 다양성과 정확성, 정보 품질인 설득력과 완전성을 외부 자극으로 설정하고, 신뢰 및 지각된 가치에 따른 소비자의 심리상태 하 유기체로 설정하여 구매의도 간에 관계를 탐구하였다. 온라인 쇼핑 플랫폼을 이용하는 소비자를 대상으로 설문조사를 실시하였다. 분석결과는 개인화 추천 시스템의 품질과 정보 품질이 신뢰와 지각된 가치에 미치는 영향에 대한 가설이 모두 채택되었다. 신뢰가 시스템 품질, 정보 품질에 대한 구매의도와의 관계에서 매개역할을 확인하였으며 지각된 가치는 정보 품질에 대한 구매의도와의 관계에서 매개역할을 확인하였다. 추천 시스템이 제공하는 콘텐츠는 소비자 경험을 개선하고 소비자의 수용 정도를 높일 수 있는 방향으로 설계되어야 한다는 시사점을 도출하였다.

현곡(玄谷) 사간탕(瀉肝湯)의 구성한약과 그 기미배오(氣味配伍) 분석 (Hyeongok's Sagan-tang was Combined according to the Theory for Properties and Tastes of Herbal Medicines)

  • 원찬욱;김상찬;신순식
    • 동의생리병리학회지
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    • 제21권5호
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    • pp.1341-1345
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    • 2007
  • There are four kinds of formulas for purging the liver to cure its sthenic syndrome based on the types of preparation formulas : Sagan-tang, Saganhwan, Saseem-san and Saganeum. Another formula called Sacheonghwan, Sacheong-tang and Sacheong-san is to purge the green colour of liver. There are 38 kinds of Sagan-tang, 2 kinds of Saganhwan, 29 kinds of Sagan-san, 5 kinds of Saganeum, 4 kinds of Sacheonghwan, 3 kinds of Sacheong-tang and 1 kind of Sacheong-san. Combination of herbal medicines, carried out in formulas for purging the liver, consists of various kinds depending on medical scientists' personal experience in medical treatment without any general principles, which makes it difficult to apply it to clinical use. The objectives of this study lie in theoretical establishment of Sagan-tang for curing the sthenic syndrome of liver through analyzing the component medicines and combination principles of Hyeongok's Sagan-tang, and furthermore, maximizing the clinical use of Sagan-tang. This study analyzed the component medicines and combination principles of Hyeongok's Sagan-tang based on the theory for properties and tastes of herbal medicines from the ${\ulcorner}$Yellow Emperor's Canon of Internal Medicine${\lrcorner}$, the theory for principal herbal medicine, assistant herbal medicine, adjuvant herbal medicine, dispatcher herbal medicine, and the five elements doctrine. Hyeongok's Sagan-tang is an odd prescription, composed of 7 kinds of ingredients : No.1 Radix Paeoniae (2don;7.5 g), No.2 Fructus Chaenomelis (1don;3.75 g), No.3 Radix Rehmanniae (1don), No.4 Folium Phyllostachydis Henonis (1don), No.5 Radix Bupleuri (1don), No.6 Radix Scutellariae (1don), and No.7 Radix Glycyrrhizae (1don). There are three methods for curing the sthenic syndrome of liver according to the five elements doctrine : purging the liver, purging the heart and invigorating the lung. In the case of taste purgation, two herbal medicines with sour taste, Radix Paeoniae and Fructus Chaenomelis, are combined into the principal and assistant herbal medicine, respectively. For property purgation, two herbal medicines with the cool property, Radix Bupleuri and Radix Scutellariae, are combined into adjuvant herbal medicines. Both sweet and cold herbal medicines, Radix Rehmanniae and Folium Phyllostachydis Henonis, are combined into adjuvant herbal medicines. Sour herbal medicines, Radix Paeoniae and Fructus Chaenomelis, were combined to invigorate the lung. Cool herbal medicines, Radix Bupleuri and Radix Scutellariae, were combined to invigorate the lung and to purge the liver. In addition, Radix Glycyrrhizae are combined as dispatcher herbal medicine, harmonizing all the herbal medicines composing the formula. First, to cure the sthenic syndrome of the liver, the methods of purging the liver and the heart, and invigorating the lung should be used according to the five elements doctrine. Secondly, herbal medicines appropriate for those treatment methods should be chosen according to the theory for properties and tastes of herbal medicine and thirdly, the combination of those herbal medicines should be carried out according to the theory for principal herbal medicine, assistant herbal medicine, adjuvant herbal medicine, dispatcher herbal medicine. As a good example, Hyeongok's Sagan-tang is combined according to the above theories.

소셜 네트워크 분석 기법을 활용한 협업필터링의 특이취향 사용자(Gray Sheep) 문제 해결 (Resolving the 'Gray sheep' Problem Using Social Network Analysis (SNA) in Collaborative Filtering (CF) Recommender Systems)

  • 김민성;임일
    • 지능정보연구
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    • 제20권2호
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    • pp.137-148
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    • 2014
  • 상품 검색시간의 단축과 쇼핑에 투입되는 노력의 감소 등, 온라인 쇼핑이 주는 장점에 대한 긍정적인 인식이 확산되면서 전자상거래(e-commerce)의 중요성이 부각되는 추세이다. 전자상거래 기업들은 고객확보를 위해 다양한 인터넷 고객관계 관리(eCRM) 활동을 전개하고 있는데, 개인화된 추천 서비스의 제공은 그 중 하나이다. 정확한 추천 시스템의 구축은 전자상거래 기업의 성과를 좌우하는 중요한 요소이기 때문에, 추천 서비스의 정확도를 높이기 위한 다양한 알고리즘들이 연구되어 왔다. 특히 협업필터링(collaborative filtering: CF)은 가장 성공적인 추천기법으로 알려져 있다. 그러나 고객이 상품을 구매한 과거의 전자상거래 기록을 바탕으로 미래의 추천을 하기 때문에 많은 단점들이 존재한다. 신규 고객의 경우 유사한 구매 성향을 가진 고객들을 찾기 어렵고 (Cold-Start problem), 상품 수에 비해 구매기록이 부족할 경우 상관관계를 도출할 데이터가 희박하게 되어(Sparsity) 추천성능이 떨어지게 된다. 취향이 독특한 사용자를 뜻하는 'Gray Sheep'에 의한 추천성능의 저하도 그 중 하나이다. 이러한 문제인식을 토대로, 본 연구에서는 소셜 네트워크 분석기법 (Social Network Analysis: SNA)과 협업필터링을 결합하여 데이터셋의 특이 취향 사용자 (Gray Sheep) 문제를 해소하는 방법을 제시한다. 취향이 독특한 고객들의 구매데이터를 소셜 네트워크 분석지표를 활용하여 전체 데이터에서 분리해낸다. 그리고 분리한 데이터와 나머지 데이터인 두 가지 데이터셋에 대하여 각기 다른 유사도 기법과 트레이닝 셋을 적용한다. 이러한 방법을 사용한 추천성능의 향상을 검증하기 위하여 미국 미네소타 대학 GroupLens 연구팀에 의해 수집된 무비렌즈 데이터(http://movielens.org)를 활용하였다. 검증결과, 일반적인 협업필터링 추천시스템에 비하여 이 기법을 활용한 협업필터링의 추천성능이 향상됨을 확인하였다.