• Title/Summary/Keyword: Preference Matrix

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A Study on Apparel Product Design Elements according to Image Preference -Applied to Quality Function Deployment Focused on Middle Aged and Aged Women's Formal Wear- (추구의복이미지에 따른 의류제품 디자인 설계품질에 관한 연구 -QFD를 이용한 중.노년층 여성 정장을 중심으로-)

  • Row, Young;Park, Jae-Ok
    • Journal of the Korean Society of Clothing and Textiles
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    • v.32 no.10
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    • pp.1522-1534
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    • 2008
  • The subjects of ttis study were middle-aged women in their 40s$\sim$50s and older women aged 60 and over who were living in Seoul and Kyonggi-do, Korea. Through studying the participants' responses to the questions regarding the attributes of image preference in terms of the levels of satisfaction and importance, the target consumers' demand has been studied. And, they are applied to a QFD Matrix, to find out the relationship between the attributes of product quality and the guidelines of clothing design. For this study, clothing image preference is categorized as three types: fashionable and urbane image, elegant and formal image, comfortable and active image. It has also been found that middle-aged and older women think the clothing that projects fashionable and urbane image needs more improvement that those for other images. To review demands for the clothing image preference attribute of formal suits for middle-aged and older women, the priority of these attributes through QFD Matrix that shows the relationship between the attributes and dress elements emphasized by designers has been examined. In reflecting clothing image preference by consumers for their formal two-piece suits, the most important design elements related to material in order of importance were material type, style, thickness and texture, and those related to color were the number of colors used and coloring type.

An Implementation of Story Path Recommendation System of Interactive Drama Using PCA and NMF (PCA와 NMF를 이용한 대화식 드라마의 스토리 경로 추천 시스템 구현)

  • Lee, Yeon-Chang;Jang, Jae-Hee;Kim, Myung-Gwan
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.12 no.4
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    • pp.95-102
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    • 2012
  • Interactive drama is a story which requires user's free choice and participation. In this study, we grasp user's preference by making training data that utilize characters of interactive drama. Furthermore, we describe process of implementing systems which recommend new users path of stories that correspond with their preference. We used PCA and NMF to extract characteristic of preference. The success rate of recommending was 75% with PCA, while 62.5% with NMF.

A Study on Residential Evaluation & Remodeling Preference Characteristics with the Personality Type( I ) (성격 유형과 주거평가 및 리모델링 선호특성에 관한 연구( I ))

  • Kim Nam-Hyo;Lee Sang-Ho
    • Korean Institute of Interior Design Journal
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    • v.14 no.3 s.50
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    • pp.208-215
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    • 2005
  • The purpose of this study is to analyze the relationship between the personality type and the residential evaluation & remodeling preference. The subjects of this investigation were collected through questionnaire from two hundred and twelve adult residents who live in Seoul, Korea. The collected cases are analyzed by using statistics software spss-win. The personality is classified eight types; E(extraversion), I(introversion), S(sensing), N(intuition), T(thinking), F(feeling), J(judging) and P(perceiving) in MBTI (Myers Briggs Type Indicator). By using the rotated component matrix of varimax method, the satisfaction of the actual residential conditions is classified into seven grouping factors. The preference of interior image is classified into thirteen factors. The important living patterns - activity, interest, and opinion - are classified into ten factors. And the important needs of residential remodeling are classified into twelve factors. By using the one way anova method, between these forty two grouping factors and personality type MBTI, there are analyzed several significances that will be useful in residential design and remodeling design & planning

Effective Pre-rating Method Based on Users' Dichotomous Preferences and Average Ratings Fusion for Recommender Systems

  • Cheng, Shulin;Wang, Wanyan;Yang, Shan;Cheng, Xiufang
    • Journal of Information Processing Systems
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    • v.17 no.3
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    • pp.462-472
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    • 2021
  • With an increase in the scale of recommender systems, users' rating data tend to be extremely sparse. Some methods have been utilized to alleviate this problem; nevertheless, it has not been satisfactorily solved yet. Therefore, we propose an effective pre-rating method based on users' dichotomous preferences and average ratings fusion. First, based on a user-item ratings matrix, a new user-item preference matrix was constructed to analyze and model user preferences. The items were then divided into two categories based on a parameterized dynamic threshold. The missing ratings for items that the user was not interested in were directly filled with the lowest user rating; otherwise, fusion ratings were utilized to fill the missing ratings. Further, an optimized parameter λ was introduced to adjust their weights. Finally, we verified our method on a standard dataset. The experimental results show that our method can effectively reduce the prediction error and improve the recommendation quality. As for its application, our method is effective, but not complicated.

A Study on Residential Evaluation & Remodeling Preference Characterisitics with the Personality Type(II) (성격 유형에 따른 주거평가 및 리모델링 선호특성에 관한 연구(II))

  • Kim Nam-Hyo;Lee Sang-Ho
    • Korean Institute of Interior Design Journal
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    • v.14 no.5 s.52
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    • pp.245-253
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    • 2005
  • The purpose of this study is to analyze the relationship between the personality type and the residential evaluation & remodeling preference in interior finishes and floor layouts. The subjects of this investigation were collected through questionnaire from two hundred and twelve adult residents who live in Seoul, Korea. By using the rotated component matrix of varimax method & the one way anova method of spss for windows Rel. 11.0 in my former study, there are analyzed several significances in eight personality types; E(extraversion), I(introversion), S(sensing), N(intuition), T(thinking), F(feeling), J(judging) and P(perceiving) in MBTI (Myers Briggs Type Indicator). This study shows that actual floor plans, remodeling preference plans & interior finishes materials of each personality type was analyzed several significances by Chi-Square. As results, during consulting the client in the residential projects, personality test may take precedence over everything else, and then designer can consider it for hidden client needs in the residential interiors & remodelings. Designers might understand the nature of personality in order to design wisely for clients. This method will allow the designer & consultant to more fully understand clients' preference.

Effects of Fiber Contents and Loop Length of Weft Knit on Subjective Texture and Preference-Using SEM- (위편성물의 혼용률 및 편환장이 주관적 질감과 선호도에 미치는 영향 -구조방정식 이용-)

  • Roh, Eui-Kyung;Ryu, Hyo-Seon
    • Journal of the Korean Society of Clothing and Textiles
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    • v.31 no.7
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    • pp.1128-1138
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    • 2007
  • The purpose of this study is to develop the relationship model among subjective texture and preference of weft knit according to fiber contents of wool/rayon and loop length by integrating previous research work. SPSS and SEM method using AMOS program were used to analyze data which used to correlation matrix to be standardized. The texture of weft knit were classified into 4 categories: irregularity, flexibility, bulkiness, extensibility. The fiber contents of wool/rayon had effect positively on irregularity, bulkiness and extensibility and that had little effect on preference. The loop length had effect positively on irregularity, flexibility and extensibility and that had effect negatively on preference. This measurement model will be input for testing causal research model that can explain how fiber contents of wool/rayon and loop length of weft knit influence on subjective texture.

System Requirement Analysis of Multi-Role Helicopter by Implementing Quality Function Deployment (QFD(Quality Function Deployment)를 이용한 다목적 헬리콥터의 시스템 요구도 분석)

  • Kim, Minji;Park, Mi-Young;Lee, Jae-Woo;Byun, Younghan
    • Journal of the Korean Society of Systems Engineering
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    • v.1 no.2
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    • pp.56-62
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    • 2005
  • In this study, we first define user requirements to fulfill the reconnaissance and the search missions, by analyzing the system characteristics and operation environment. By investigating the design technology level, the development and procurement costs, the strong system design concepts and possible alternatives will be proposed. To analyze the system requirements, the Quality Function Deployment of the systems engineering approach will be implemented. The promising design alternatives that satisfy the user requirements are extracted by constructing the Morphological Matrix, then the best design concept will be obtained using the Pugh Concept Selection Matrix and the TOPSIS(Technique of Order Preference by Similarity to Ideal Solution).

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A Study on a Job Preference Analysis of Domestic Using Innovation Decision Making (경영혁신 의사결정 기법을 활용한 국내 직업 선호도 분석 연구)

  • Yang, Kwang-Mo
    • Journal of the Korea Safety Management & Science
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    • v.11 no.3
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    • pp.11-18
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    • 2009
  • Unless certain limitation is increasing the number of the job type will be inevitable in the future because of development of industry, adaptation on speedy life style, and leisure oriented nuclear family style. In this paper, a prospective model of supply and demand of work force has been developed basing on various categories of industries and patterns about employees to look over efficient supply and demand of work force suiting employment of work force policies. In this paper, after Analyzing job preference, we have noticed a more stable job system and the results showed significant improvements over the existing job system.

A review of drug knowledge discovery using BioNLP and tensor or matrix decomposition

  • Gachloo, Mina;Wang, Yuxing;Xia, Jingbo
    • Genomics & Informatics
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    • v.17 no.2
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    • pp.18.1-18.10
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    • 2019
  • Prediction of the relations among drug and other molecular or social entities is the main knowledge discovery pattern for the purpose of drug-related knowledge discovery. Computational approaches have combined the information from different sources and levels for drug-related knowledge discovery, which provides a sophisticated comprehension of the relationship among drugs, targets, diseases, and targeted genes, at the molecular level, or relationships among drugs, usage, side effect, safety, and user preference, at a social level. In this research, previous work from the BioNLP community and matrix or matrix decomposition was reviewed, compared, and concluded, and eventually, the BioNLP open-shared task was introduced as a promising case study representing this area.

Use of Acellular Biologic Matrix Envelope for Cardiac Implantable Electronic Device Placement to Correct Migration into Submuscular Breast Implant Pocket

  • Peyton Terry;Kenneth Bilchick;Chris A. Campbell
    • Archives of Plastic Surgery
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    • v.50 no.2
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    • pp.156-159
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    • 2023
  • Breast implants whether used for cosmetic or reconstructive purposes can be placed in pockets either above or below the pectoralis major muscle, depending on clinical circumstances such as subcutaneous tissue volume, history of radiation, and patient preference. Likewise, cardiac implantable electronic devices (CIEDs) can be placed above or below the pectoralis major muscle. When a patient has both devices, knowledge of the pocket location is important for procedural planning and for durability of device placement and performance. Here, we report a patient who previously failed subcutaneous CIED placement due to incision manipulation with prior threatened device exposure requiring plane change to subpectoral pocket. Her course was complicated by submuscular migration of the CIED into her breast implant periprosthetic pocket. With subcutaneous plane change being inadvisable due to patient noncompliance, soft tissue support of subpectoral CIED placement with an acellular biologic matrix (ABM) was performed. Similar to soft tissue support used for breast implants, submuscular CIED neo-pocket creation with ABM was performed with durable CIED device positioning confirmed at 9 months postprocedure.