• The International Journal of Costume Culture
• /
• 제13권2호
• /
• pp.67-81
• /
• 2010

This study is a basic research to develop kit and program for fashion psychotherapy, a new genre of therapy. Symptom checklist, self-esteem evaluation, interpersonal relationship problem evaluation and fashion preference evaluation were conducted on 159 college students in Seoul. The results were analyzed with t-test and one-way ANOVA. The result showed that first, warm color preference was significantly high in interpersonal problem among psychological problems. Second, smooth material preference was significantly high in paranoia among psychological problems. Third, differences in design preferences by psychological problems were not significant. Fourth, differences in design preferences between abnormal range and normal range of psychological problems were significant in line shape, with depression abnormal group showing significantly high straight line preference. Additionally, complex shape preference was significant in complexity in somatization and phobia abnormal groups. This study can be utilized in kit development for a new field, fashion psychotherapy. This study is significant as practical basic data in constructing fashion psychotherapy program.

• 한국식생활문화학회지
• /
• 제27권5호
• /
• pp.459-468
• /
• 2012

The purpose of this study was to investigate the effects of eating habits and food preferences on the adoptive behavior of children with intellectual disabilities. Survey questionnaires were distributed to six special education schools located in the Daegu-Kyungbuk area, and data were collected from 552 families and teachers with intellectually disabled students. Identification of eating habits began with a factor analysis, and the results were a five-factor solution. Among the five patterns, factors 1 and 2 were significantly related with behavior problems of intellectually disabled children. Further, food preferences of the children were significantly related with adoptive behavior problems. The findings of this study clearly indicate that eating habits as well as food preferences are important factors in identifying adoptive behavior problems in intellectually disabled children. Based on the findings of this study, similarities and differences in eating habits are discussed, and implications for children are provided.

• 인간식물환경학회지
• /
• 제24권1호
• /
• pp.63-73
• /
• 2021

Background and objective: This study was conducted to investigate the effects and preferences of horticultural therapy programs for stress relief according to MBTI personality types (Judging and Perceiving types) of female undergraduate students. Methods: The participants were divided into 15 Judging and 15 Perceiving types based on lifestyle preferences of the MBTI personality test, and a total of 30 participants participated in the horticultural therapy programs for 6 sessions. Results: Both Judging and Perceiving types showed a significant decrease in stress after participating in the horticultural therapy programs. Among the 8 life stress subfactors, Judging types showed significant stress relieving effects in 5 subfactors (relationship with the opposite sex, relationship with family, economic problems, future problems, value problems), while Perceiving types showed stress relieving effects in only 3 subfactors (relationship with family, economic problems, future problems). However, the changes in stress relief of 8 subfactors were not significantly different between the two personality types. The most preferred program for the Judging types was 'Making a flower basket', while the most preferred ones for the Perceiving types were 'Planting monstera', and 'Making preserved lemons with marigold', suggesting that the preferences varied depending on personality types. Conclusion: Therefore, it is necessary to develop suitable horticultural therapy programs for different subjects based on their personality types to enhance the effect of the programs on the subjects.

• 대한설비공학회:학술대회논문집
• /
• 대한설비공학회 2006년도 하계학술발표대회 논문집
• /
• pp.1061-1068
• /
• 2006

This study has been conducted to provide the basic datum to draw mechanical equipments needed for aged apartment housing remodeling by questioning survey and interview for residents who has been lived in the aged apartment housing. To preferences survey, we prepare four forms of sheets - questioning survey and interview for residents, interview for managers, and visiting interview for residents. The questioning survey results shows that some residents feel discomfort for water hammer and water supply noise and for noise and stink transmission from air duct installed ceiling to ventilate bathroom. The interview results for residents and managers shows typically two major problems. The first is insulation and heating problems when balcony extended in each household. The second is piping and shaft layouts problem for maintenance and remodeling flexibility. It is important to study indepth each problems because these problems will increase more in the future.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제16권12호
• /
• pp.3798-3814
• /
• 2022

Social recommendation algorithm can alleviate data sparsity and cold start problems in recommendation system by integrated social information. Among them, matrix-based decomposition algorithms are the most widely used and studied. Such algorithms use dot product operations to calculate the similarity between users and items, which ignores user's potential preferences, reduces algorithms' recommendation accuracy. This deficiency can be avoided by a metric learning-based social recommendation algorithm, which learns the distance between user embedding vectors and item embedding vectors instead of vector dot-product operations. However, previous works provide no theoretical explanation for its plausibility. Moreover, most works focus on the indirect impact of social friends on user's preferences, ignoring the direct impact on user's rating preferences, which is the influence of user rating preferences. To solve these problems, this study proposes a user bias drift social recommendation algorithm based on metric learning (BDML). The main work of this paper is as follows: (1) the process of introducing metric learning in the social recommendation scenario is introduced in the form of equations, and explained the reason why metric learning can replace the click operation; (2) a new user bias is constructed to simultaneously model the impact of social relationships on user's ratings preferences and user's preferences; Experimental results on two datasets show that the BDML algorithm proposed in this study has better recommendation accuracy compared with other comparison algorithms, and will be able to guarantee the recommendation effect in a more sparse dataset.

• 한국의류산업학회지
• /
• 제8권6호
• /
• pp.618-626
• /
• 2006

This research explored the actual conditions, problems and design preferences of dementia inpatient clothing. Data were collected by surveying 21 dementia hospitals and nursing care facilities and 87 caregivers and nurses of dementia hospitals. The collected data were analysed through frequency analysis, descriptive analysis and factor analysis. The results were as follows, First, the inpatient clothes of dementia hospitals were two-piece styles, the shirts of front opening with buttons and pants of no opening with elastic band. Those of dementia care facilities were two piece styles of shirts and pants, training suits or private plain clothes not uniform. Severe dementia inpatient dressed uniforms of the jump suits or two piece styles in some dementia care facilities. Second, the problems of dementia inpatient clothing were composed of suitability of raw and subsidiary clothing material, diversity of design and size, durability and form stability of clothes and elastic bands. Third, the design elements similar to those of existing inpatient clothing were preferred with regard to improving dementia inpatient clothing. That is, the design preferences of shirts showed front opening style with buttons, round neckline and a three-quarter-length sleeves. Those of pants came out no opening style with elastic band and full length. Also, pink color and natural patterns were preferred, and the private plain clothing of inpatient and fusion Han-bok style were somewhat preferred.

• Journal of Information Processing Systems
• /
• 제8권2호
• /
• pp.191-212
• /
• 2012

Since a social network by definition is so diverse, the problem of estimating the preferences of its users is becoming increasingly essential for personalized applications, which range from service recommender systems to the targeted advertising of services. However, unlike traditional estimation problems where the underlying target distribution is stationary; estimating a user's interests typically involves non-stationary distributions. The consequent time varying nature of the distribution to be tracked imposes stringent constraints on the "unlearning" capabilities of the estimator used. Therefore, resorting to strong estimators that converge with a probability of 1 is inefficient since they rely on the assumption that the distribution of the user's preferences is stationary. In this vein, we propose to use a family of stochastic-learning based Weak estimators for learning and tracking a user's time varying interests. Experimental results demonstrate that our proposed paradigm outperforms some of the traditional legacy approaches that represent the state-of-the-art technology.

• 한국정보과학회논문지:소프트웨어및응용
• /
• 제32권7호
• /
• pp.581-591
• /
• 2005

협력적 여과 시스템은 희박성과 단지 두 고객만의 선호도에 따른 상관 관계로 추천을 제공한다는 문제점과 군집내의 가장 유사한 두 사용자만의 상관 관계에 의하여 추천을 한다는 단점이 있다. 또한, 상품의 내용을 기반으로 하지 않고 선호도만을 기반으로 하므로 추천의 정확도가 사용자에 의해 평가한 자료에만 의존한다는 문제점도 있다. 이와 같이 평가된 자료를 추천에 이용할 경우, 모든 사용자가 모든 상품에 대해 성의 있게 평가할 수는 없으므로 추천의 정확도가 낮아지는 결과를 가져온다. 따라서 본 논문에서는 엔트로피을 사용하여 사용자가 상품에 대하여 평가한 자료를 기반으로 검증되지 않은 사용자를 제외시키고, 다음으로 사용자 프로파일을 생성한 후 사용자를 군집시키며, 마지막으로 그룹의 대표 선호도를 추출하는 방법을 제안한다. 기존의 사용자 군집을 이용한 방법은 군집내의 사용자만을 대상으로 유사한 사용자를 찾으므로 희박성은 해결할 수 있으나 그 외의 단점을 해결하지 못하였다. 제안한 방법에서는 상품에 대해 평가한 선호도 뿐만 아니라 상품에 대한 정보를 반영하기 위하여 연관 단어 마이닝의 방법에 의해 협력적 사용자의 프로파일을 생성하고, 이를 기반으로 벡터 공간 모델과 K-means 알고리즘에 의해 사용자를 군집시킨다. 군집된 사용자를 대상으로 상품의 선호도와 사용자의 엔트로피를 병합함으로써 최종적으로 그룹의 대표 선호도를 추출한다. 대표 선호도를 이용한 추천 시스템은 한 사용자의 부정확한 선호도를 기반으로 추천을 하는 경우에 나타나는 추천의 부정확도 문제를 해결하며, 군집내의 가장 유사한 두 사용자만의 상관 관계에 의하여 추천을 하는 단점을 보완하고, 또한 그룹 내에 가장 유사한 사용자를 찾는 데 소요되는 시간을 절약할 수 있다는 장점을 갖는다.

• Journal of Community Nutrition
• /
• 제1권1호
• /
• pp.10-15
• /
• 1999

This study was undertaken with 542 fifth-grade elementary school children to investigate the characteristics in lifestyle, eating habits, food preferences of overweight and obese children in the Pocheon area of Korea. Anthropometry was conducted to determine obesity, and data was obtained on lifestyle, eating habits and food preferences by using questionnaires. The prevalence rate of obesity was 19.5% for boys and 8.5% for girls, and 14.3% of boys and 14.4% of girls were overweight. No significant differences was found in the body size and education years of parents, family income and the empolymental status of mother. Boys did not show any significant difference between subgroups in lifestyle, eating habits and food preferences. Obese girls watched TV longer and liked physical education less than normal and overweight groups, suggesting that an inactive lifestyle can be related to girls' obesity in this study. Overweight girls answered that they had significantly lower preferences for empty-calorie foods such as candies/caramels and cookies as well as high-fat foods such as samgyupsal(pork belly) than normal weight girls, implicating the fear of obesity for overweight girls, although more studies should be done including an assessment of actual intake of these foods. The preferences of obese girls for these foods were not higher than those of normal-weight girls, suggesting that the preference for certain foods may not be the characteristic of obese girls in this study. A special program for nutritional education with a different focus should be developed to combat the problems of each subgroup depending on gender and obesity status to improve the physical fitness of the children in this area.

• 한국컴퓨터산업학회논문지
• /
• 제8권2호
• /
• pp.89-96
• /
• 2007

객체기반 예약스케줄링 기법은 제약만족문제(CSP; Constraint Satisfaction Problem)와 객체지향개념(Object-Oriented Concepts)을 기반으로 승무원 객체들이 갖고 있는 사건들을 주어진 제약들에 만족하도록 목표인 운항스케줄 보드에 배정하는 기법이다. 본 논문에서는 객체기반 예약스케줄링기법을 항공운항 스케줄에 적용하여 승무원(운항승무원, 객실승무원)들의 운항 스케줄 만족도를 향상시키고, 승무원들에 대한 인력관리상의 문제점들을 해결하고자 하였다 특히, 승무원들의 운항스케줄에 대한 만족도를 향상시키기 위해서 전체승무원 선호도보드를 이용하였다. 승무원들의 스케줄 우선순위에 따라서 자원(타임 슬롯)을 배정하고, 자원에 대한 승무원들의 선호도 차이를 가질 수 있게 하였다. 보드에 대한 정의와 모든 사건들에 대한 정보를 전역제약으로 사용하고, 승무원들이 가지는 보드의 타임 슬롯들에 대한 선호도를 지역 제약으로 사용하였다. 또한 실제로 항공운항 스케줄링을 모의실험해서 승무원들의 운항 스케줄 만족도를 살펴보았다.