• Title/Summary/Keyword: State preference

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Investigation of Preference for Outdoor Jacket and Design Prototype (아웃도어 재킷의 선호실태조사 및 디자인 프로토타입)

  • Han, Eun-Ju;Lee, Jeong-Ran
    • Journal of Fashion Business
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    • v.15 no.4
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    • pp.167-181
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    • 2011
  • This study had researched purchase trend and preference of jacket design in order to develop a prototype of an outdoor wear jacket that can be worn for a light outdoor activity targeting middle-aged men and women. An outdoor wear was purchased mostly in a permanent discount store and functionality such as activity and material was considered as important in addition to design. There was difference in ages for the jacket style, but in general, people preferred a wind protection jacket and men preferred black colors and women preferred red colors. For the design of jacket, both men and women had preferred a jacket that has moderate fitness with detachable hat and a zipper, and it was applied to the prototype. The jacket had applied different color in the armhole line that is connected to sleeve in order to make waist look slimmer and stretchable material was used to improve functionality in the armpit part.

A Comparison of Korean and American Consumers′Preference on Formal Wear Fabrics

  • Cheunsoon Ahn;Lim, Sook-Ja;Yoon Yang;Lee, Seung-Hee;Sharron J. Lenon
    • The International Journal of Costume Culture
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    • v.3 no.2
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    • pp.124-135
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    • 2000
  • This research investigated the difference in fabric preference over formal wear attire of 1999 Spring/Summer season between Korean and American female consumers. 25 Korean and 25 U.S.A. fabrics were used as fabric samples, and the respondents for the survey included 50 Koreans and 50 Americans in the 20s and 40s age groups. All six population groups showed similar dislike rankings toward the total fabrics (n=50). When the Korean fabrics and the U.S.A. fabrics were considered separately, the 20s and 40s age groups, especially between Korean 20s and Korean 40s, showed significant similarities in the dislike rankings. When the dislike preferences between Korean fabrics and U.S.A. fabrics were examined for different population groups, all the groups showed somewhat similar dislike rankings and in all cases U.S.A. fabrics were disliked more than the Korean fabrics. The most apparent difference in the physical characteristics of disliked fabrics was observed in jabric color. The Americans, especially the 40s age group, disliked fabrics with dark compound colors, whereas the Koreans in all age groups dislike fabrics close to bright pure colors.

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Analysis of Preference and Psychological Recovery by Sound, Scenery, Soundscape in Healing Forest (치유의숲 소리, 경관, 소리경관(soundscape)에 따른 선호도 및 심리적 회복감 분석)

  • Kim, Jin-Sook;Shin, Won-Seob;Kim, Myeong-Jong
    • Journal of Environmental Science International
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    • v.30 no.3
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    • pp.267-277
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    • 2021
  • This study investigates sound, scenery, and soundscape preferences, which are sensory factors that users feel in a healing forest, comparing the difference in recovery by the soundscape. In the barrier-free, wooden walking path of the National Daegwallyeong Healing Forest, a survey site with five different conditions was selected. Users prefer water sounds the most and places with open views for scenery. For the complex sensation of soundscapes, the most preferred is a space where water sounds can be heard, and either a waterfall or an open view can be seen. A profile of mood states test was use to compare users' psychological recovery by the soundscape. It was found that users felt the most positive mood with water sounds and open views. In addition, users' preference for artificial sounds, scenery, and soundscape was the lowest. In the mood state test, it was found that the artificial soundscape incited the most negative emotions.

Actor-Critic Algorithm with Transition Cost Estimation

  • Sergey, Denisov;Lee, Jee-Hyong
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.16 no.4
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    • pp.270-275
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    • 2016
  • We present an approach for acceleration actor-critic algorithm for reinforcement learning with continuous action space. Actor-critic algorithm has already proved its robustness to the infinitely large action spaces in various high dimensional environments. Despite that success, the main problem of the actor-critic algorithm remains the same-speed of convergence to the optimal policy. In high dimensional state and action space, a searching for the correct action in each state takes enormously long time. Therefore, in this paper we suggest a search accelerating function that allows to leverage speed of algorithm convergence and reach optimal policy faster. In our method, we assume that actions may have their own distribution of preference, that independent on the state. Since in the beginning of learning agent act randomly in the environment, it would be more efficient if actions were taken according to the some heuristic function. We demonstrate that heuristically-accelerated actor-critic algorithm learns optimal policy faster, using Educational Process Mining dataset with records of students' course learning process and their grades.

A Study on the Survey of Eating out Food Preference of College Students in Seoul (서울지역 대학생의 외식실태 및 기호도 조사연구 (I))

  • 노정미
    • Journal of the Korean Home Economics Association
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    • v.27 no.2
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    • pp.65-74
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    • 1989
  • The purpose of this study was to investigate the state of eating out and the food preference of college students in Seoul. This survey was carried out through questionaires, and the subjects were 158 male and 159 female students. The result obtained were summarized as follows; 1) Female students had more regular breakfast than male students, and male students had more regular dinner than female students. 2) Male and higher grade students brought home-made lunches more frequently than female students, and others ate out in campus dinning room and off campus dinning room. 3) Most of subjects (77.3%) ate out more than once a day, they ate out in lunch time more frequently than other times. 4) Male and female students used different type of restaurant. 5) The most favorite food of male students in eating out was a Dongas, and that of female students was Nangmyun.

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The Cognitive Complexity of Clothing Attributes -Focused on Clothing Involvement- (의류 제품의 속성에 대한 인지적 복잡성에 관한 연구 -의복 관여를 중심으로-)

  • Park Sung-Eun
    • Journal of the Korean Society of Clothing and Textiles
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    • v.30 no.4 s.152
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    • pp.497-506
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    • 2006
  • The purpose of this study is to clarify the cognitive complexity of clothing attributes, which influence the preference and purchase intentions. The subjects of this study are 434 female college students and formal survey methodologies were used for collecting data. Those data were analyzed with SAS program, and various methods such as factor analysis, cluster analysis, conjoint analysis, path analysis of Lisrel were followed. The results of this study were as follows: 1) Clothing involvement consists of the affective factor and the cognitive factor. 2) The consumers were divided into three groups with regards to the degree of their clothing involvement. 3) Significant differences were found regarding the cognitive complexity of clothing attributes among these groups.

Preferences of U.S. consumers for setting quality factors of Bibimbap

  • Seo, Sang-Hee;Kim, Eun-Mi;Kwock, Chang-Keun;Wie, Seung-Hee
    • Journal of the Korean Society of Food Culture
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    • v.27 no.1
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    • pp.30-37
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    • 2012
  • The purpose of this study was to identify U.S. consumers' preferences for Bibimbap and to determine whether or not Bibimbap can be adopted into the American palate. A total of 214 people tasted a controlled amount of Bibimbap and Gochujang sauce (red chili pepper sauce) and then completed a preference test. Bibimbap was highly rated overall in the areas of appearance, color, smell, and taste. Gochujang sauce was also well-accepted in terms of taste and spiciness. Most of the participants disliked the seaweed and shiitake mushrooms, which means that Bibimbap can improve its garnish taste and aroma by removing them. Further, a more watery sauce was served as foreigners are not familiar with mixing food culture. Therefore, by offering diverse ingredient options, the acceptance of traditional Bibimbap can be increased in the U.S.

Comparative Analysis of Human Resource Development by Industrial and Occupational Characteristics of Science and Engineering Graduates Using Korean HCCP(Human Capital Corporate Panel) (인적자본기업패널(HCCP)을 활용한 이공계 졸업자의 산업 및 직종별 인적자원개발 비교 분석)

  • Park, Mun Su;Yoo, Gwang Min
    • Journal of Engineering Education Research
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    • v.21 no.2
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    • pp.60-66
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    • 2018
  • This study aims to compare human resource development by industrial and occupational characteristics of science and engineering graduates. To achieve research objectives, this study analyzed whether differences exist in human resource development, such as participation in vocational training, wage levels, and cuture of talened person preference, by industrial and occupational characteristics. The results showed that workers in engineering fields received more benefits and support compared to those in non-science and engineering field occupations at the quantitative statistics of vocational training and wage levels. On the contrary, according to the qualitative statistics, workers of non-science and engineering field have a culture of talented person preference compared to those in science and engineering occupation.

The Effect of Preparatory Information on the State Anxiety Depending on Coping Styles of Patients Undergoing Cardiac Catheterization (예비감각정보가 심도자 검사환자의 대응양상에 따라 상태불안에 미치는 영향)

  • 김조자;김기연
    • Journal of Korean Academy of Nursing
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    • v.27 no.3
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    • pp.648-659
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    • 1997
  • The purpose of this study was to study what effect providing the patient with preparatory concrete information had on the state anxiety depending on coping styles of patients undergoing cardiac catheterization. State Anxiety scores for 32 patients who had cardiac catheterization were examined after information was provided about the test using an audio tape. The state anxiety of patients who had a high trait anxiety level was compared to that of those who had a low trait anxiety level. The state anxiety of those who had a monitor type were compared to those of patients who had blunter type. The Trait and State Anxiety Scale of Spielberger, Miller's Behavioral Style Scale, and Krantz's Health Opinion Survey and Visual Analog Scale (Ⅰ, Ⅱ) were used. Findings were as follows : 1. Among the demographic characteristics, gender difference of the patients was significantly different for the trait anxiety level. Female patients had higher trait anxiety level than male patients. 2. Analysis of state anxiety scores indicated that the mean score of the state anxiety prior to the test was higher than the mean score of the state anxiety examined after the test. The difference was statistically significant. 3. Among the patients, 14 patients (43. 7%) used monitor type, while 18 patients (56. 3%) used blunter type. The means of preference for information measured on the Krantz' subscale was 2. 45. 4. The study results indicate that the state anxiety level of those who had a low trait anxiety level was lower than that of those who had a high trait anxiety level. 5. State anxiety levels depending upon the kind of coping style which patients used during the test were not significantly different. This study did not identify the influence of preparatory concrete information on the state anxiety depending on coping styles, and there fore a quasi-experimental study using a large sample according to different types of information, and the amount of information, coping styles is recommended.

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Automatic Preference Rating using User Profile in Content-based Collaborative Filtering System (내용 기반 협력적 여과 시스템에서 사용자 프로파일을 이용한 자동 선호도 평가)

  • 고수정;최성용;임기욱;이정현
    • Journal of KIISE:Software and Applications
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    • v.31 no.8
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    • pp.1062-1072
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    • 2004
  • Collaborative filtering systems based on {user-document} matrix are effective in recommending web documents to user. But they have a shortcoming of decreasing the accuracy of recommendations by the first rater problem and the sparsity. This paper proposes the automatic preference rating method that generates user profile to solve the shortcoming. The profile in this paper is content-based collaborative user profile. The content-based collaborative user profile is generated by combining a content-based user profile with a collaborative user profile by mutual information method. Collaborative user profile is based on {user-document} matrix in collaborative filtering system, thus, content-based user profile is generated by relevance feedback in content-based filtering systems. After normalizing combined content-based collaborative user profiles, it automatically rates user preference by reflecting normalized profile in {user-document}matrix of collaborative filtering systems. We evaluated our method on a large database of user ratings for web document and it was certified that was more efficient than existent methods.