• Title/Summary/Keyword: 공간선호도(空間選好度)

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Analysis on Preferred Element on Constructing Creative Play Space Design (창의적 놀이 공간 구축을 위한 디자인 선호 요소 분석)

  • Han, Hyun-Suk
    • Journal of Digital Convergence
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    • v.18 no.10
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    • pp.389-396
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    • 2020
  • The purpose of this study is to investigate the various perspectives that children can provide by utilizing specific physical spaces for play, and to study how to effectively apply them to surrounding spaces and environments. AHP was used to analyze the preferred elements for effectively designing a play area. The main keywords were derived through case studies of various domestic and foreign play space designs, and each keyword was grouped and a keyword of a higher concept was derived. The results of the comparison of 14 keywords that were finally drawn using AHP for each element were used to derive the priority for the preferred elements. As a result, preference was derived in the order of "Openness", "Safety", and "Diversity" in the morphological properties of the play space, and "Adventure", "Five senses elements", "Visual elements" and "Interactivity" in the content properties of the play space.

SPGS: Smart Parking Space Guidance System based on User Preferences in a Parking Lot (사용자 선호도 기반의 스마트 주차 공간 안내 시스템)

  • Yoo, Seong-eun
    • Journal of Korea Society of Industrial Information Systems
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    • v.24 no.4
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    • pp.29-36
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    • 2019
  • We propose a smart parking space guiding system based on user preferences in a parking lot. This system guides each vehicle to the most suitable parking space in a parking lot to meet the user preferences such as the available parking spaces in the parking zones and the proximity to the destination by exploiting the traffic to each parking zone gathered at the sensors near each guiding display. For this purpose, this paper proposes the cost function for the optimal route guide based on the various user preferences. In addition, the paper reports the design and implementation results of an event based simulator to show the feasibility of the smart parking guidance system.

Spatial-temporal attention network-based POI recommendation through graph learning (그래프 학습을 통한 시공간 Attention Network 기반 POI 추천)

  • Cao, Gang;Joe, Inwhee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.11a
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    • pp.399-401
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    • 2022
  • POI (Point-of-Interest) 추천은 다양한 위치 기반 서비스에서 중요한 역할을 있다. 기존 연구에서는 사용자의 모바일 선호도를 모델링하기 위해 과거의 체크인의 공간-시간적 관계를 추출한다. 그러나 사용자 궤적에 숨겨진 개인 방문 경향을 반영할 수 있는 structured feature 는 잘 활용되지 않는다. 이 논문에서는 궤적 그래프를 결합한 시공간 인식 attention 네트워크를 제안한다. 개인의 선호도가 시간이 지남에 따라 변할 수 있다는 점을 고려하면 Dynamic GCN (Graph Convolution Network) 모듈은 POI 들의 공간적 상관관계를 동적으로 집계할 수 있다. LBSN (Location-Based Social Networks) 데이터 세트에서 검증된 새 모델은 기존 모델보다 약 9.0% 성능이 뛰어나다.

Acoustic Evaluation of Seoul Arts Center Concert Hall (예술의 전당 음악당의 음향특성 분석)

  • 안철용
    • Proceedings of the Acoustical Society of Korea Conference
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    • 1998.06e
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    • pp.49-52
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    • 1998
  • 콘서트홀의 음향상태를 평가하기 위해서는 설문지를 통하여 주관적인 선호도를 조사하는 방법과 측정을 통하여 객관적인 지표를 뽑아내는 방법이 있다. 콘서트홀의 음향특성에 영향을 주는 가장 중요한 객관적 지표로서는 친밀도, 공간감, 잔향시간, 명료도, 음의 따뜻함, 라우드니스 등을 들 수가 있다. 국내에서 가장 대표적인 콘서트홀이라고 할 수 있는 예술의 전당 음악당에 대해서 위의 개관적 지표 중 5가지 요소를 실제 측정을 통해 추출하였다. 그 결과 예술의 전당 음악당은 친밀도와 공간감 면에서 조금 부족한 면을 보여 주었고 나머지 3가지 요소에 있어서는 클래식 연주에 적합한 콘서트홀로서의 결과를 보여 주었다. 공간감과 친밀도를 향상시키기 위해서는 음악당 천장에 반사판을 설치하는 것이 필요하다고 사료된다.

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The effect of perceived social exclusion on warm lighting preferences (지각된 사회적 배제가 따뜻한 조명 선호에 미치는 효과)

  • Lee, Guk-Hee
    • Journal of the HCI Society of Korea
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    • v.14 no.2
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    • pp.5-12
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    • 2019
  • Social exclusion, which does not fulfill the desire for respect as one of the most basic human desires, makes those who perceive themselves to be socially excluded seek physical warmth. However, very few studies have examined whether this phenomenon-wherein social exclusion develops a preference for warmth-can be generalized to the emotional or symbolic aspects, such as the color of lighting. This study aimed to verify the effects of perceived social exclusion on warm lighting preferences, and two experiments were performed for this purpose. In Experiment-1, participants who were respected by people the previous day were assigned to the group that did not perceive social exclusion (non-perceived social exclusion group), and those who were not respected were assigned to the group that perceived social exclusion (perceived social exclusion group). Following this, their preference for warm lighting (3000K), neutral lighting (4000K), and cold lighting (6000K) was measured. The results showed that the perceived social exclusion group had a stronger preference for warm lighting and a weaker preference for cold lighting than did their counterparts. Moreover, the perceived social exclusion group showed a strong preference for warm lighting over neutral lighting; they also showed a weak preference for cold lighting. In Experiment-2, after assigning the participants into groups as in Experiment-1, the participants' preference for a space with warm lighting, neutral lighting, and cold lighting was measured. The results showed that the perceived social exclusion group had a stronger preference for the space with warm lighting and a weaker preference for cold lighting than did their counterparts. Further, the perceived social exclusion group showed a strong preference for the space with warm lighting over the space with neutral lighting; they also showed a weak preference for the space with cold lighting. The findings of this study have implications that can be applied to designing living spaces for people who experience social exclusion, such as handicapped individuals, multicultural families, or immigrant workers, as well as developing artificial intelligence services and cyber-friend characters for this demographic.

A study on Consumer Awareness and Preference on the Coordination Using Recycled Material in Dining Space (재활용(Re-cycling) 소재를 이용한 식공간 연출에 대한 소비자의 인식 및 선호도 연구)

  • Hong, Ju-Young
    • The Journal of the Korea Contents Association
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    • v.14 no.9
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    • pp.503-512
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    • 2014
  • The study is based on the serious environmental problems occurring these days to acknowledge the consumers awareness and preference according with the coordination using recycled materials in the dining space. As the result, considered the consumers had lack in recognition of using recycled materials when they tried to use them in their normal daily life. Also the females were far more interested than the males with the usage of the recycled materials inside the restaurant and its interior image along with married persons had more positive attitude towards it than the unmarried ones. With education back ground, highly educated peoples really quite didn't prefer the usage of the recycled materials. According with the income, the high earnings and with the occupation, the professionals with specialized jobs considered the practical use of aspects more important than above. Therefore the needs to educate and promote the consumers to use recycled materials in their every day lives, it is required to build social responsibility and finding the essential meanings to save resources so that they can utilize them with converted recognitions.

An Index Structure for Efficiently Handling Dynamic User Preferences and Multidimensional Data (다차원 데이터 및 동적 이용자 선호도를 위한 색인 구조의 연구)

  • Choi, Jong-Hyeok;Yoo, Kwan-Hee;Nasridinov, Aziz
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.7
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    • pp.925-934
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    • 2017
  • R-tree is index structure which is frequently used for handling spatial data. However, if the number of dimensions increases, or if only partial dimensions are used for searching the certain data according to user preference, the time for indexing is greatly increased and the efficiency of the generated R-tree is greatly reduced. Hence, it is not suitable for the multidimensional data, where dimensions are continuously increasing. In this paper, we propose a multidimensional hash index, a new multidimensional index structure based on a hash index. The multidimensional hash index classifies data into buckets of euclidean space through a hash function, and then, when an actual search is requested, generates a hash search tree for effective searching. The generated hash search tree is able to handle user preferences in selected dimensional space. Experimental results show that the proposed method has better indexing performance than R-tree, while maintaining the similar search performance.

A Study on Planning Direction of University Student Lounges - Focused on a Preference Analysis of K University Students - (대학교 실내 휴게 공간 계획 방향에 관한 연구 - K 대학교의 대학생 선호도 분석을 중심으로 -)

  • Choi, Ho-Soon;Park, Sung-Jun
    • Journal of the Korean Institute of Educational Facilities
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    • v.23 no.6
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    • pp.3-10
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    • 2016
  • University campus is confronted with a variety of educational circumstances. U-Campus and the changes in students' academic activities demand a remodeling of university campus. The purpose of this study is planning direction for a remodeling space in university. This study in particular focus on indoor student lounges for the students. A survey asked students about a preference of indoor student lounges. Four preferences; the physical characteristics, preference of furnitures and lighting, preference of behaviors and preference of space programs are classified through the analysis on advanced studies. The results show not only students' preference but also a preference of each four different departments students; Social science, Physical education, Natural sciences and Engineering. In conclusion, this study will suggest a concrete plan for the future direction of the indoor student lounges at this point increased the importance of the university indoor student lounges.

Estimating Departure-based Mode Choice by Spatial logistic Models (공간로지스틱 모형을 이용한 이용자 출발지 기준 수단선택 확률추정 연구)

  • Eom, Jin-Ki;Moon, Dae-Seop;Park, Man-Sik;Heo, Tae-Young
    • Proceedings of the KSR Conference
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    • 2009.05a
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    • pp.813-821
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    • 2009
  • In general, the analysis of travelers' mode choice behavior is accomplished by developing the utility functions which reflect individual's preference of mode choice according to their demographic and travel characteristics. In this paper, we propose a methodology that takes the spatial effects of individuals' departure locations into account in the mode choice model. The proposed methodology allows us to estimate mode shares by departure places even though the survey does not cover all areas. This will help transportation agencies to evaluate how the difference of individuals' departure places such as residential, retail, and commercial area affects on mode choice behaviors.

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