• Title/Summary/Keyword: 속성 인식

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A study on choice Attributes of Creative musical Audiences using SNS (SNS를 활용한 창작뮤지컬 관람객들의 선택속성에 관한 연구)

  • Koo, Eun-Ja
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.15 no.2
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    • pp.229-238
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    • 2015
  • This study is to look into importance and achievement on awareness of creative musical audiences, who use SNS, by the use of Importance Performance Analysis(IPA), and to find ways to improve the recognition of creative musical by performance enterprise. In other words, the study is to discover choice attributes, that need to be urgently improved, which importance is rated high but which achievement is rated low. As a result, it is learned that composition of content(memorable dialogue), admission fee(ticket prices, charges of using additional facilities), theater(parking), composition of stage(acoustics of the stage), staff services(ticket box staff, usher, and etc. are should be properly controlled by staff expertise) need to be consistently improved. In addition, it is learned for SNS non-user group that choice items such as creative musical choice attribute(admission fee), composition of stage(acoustics of the stage), production(overall music from a musical), admission fee(ticket prices, charges of using additional facilities), and theater(parking) need to be improved.

Retrieval of Similar Medical image Objects using Conceptual Clustering Methods (유사객체 분류에 의한 유사 의료영상의 검색)

  • 원정임;이덕형;송혜정;윤지희;김백섭
    • Proceedings of the Korean Information Science Society Conference
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    • 2002.04b
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    • pp.34-36
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    • 2002
  • 의료영상 처리시스템의 자동인식 결과 등과 함께 진단 중인 의죠 영상과 유사한 영상객체를 임의로 검색하여 부가정보로 활용할 수 있는 지능적 의료정보 시스템 구현에 대하여 논한다 의료 영상객체간 유사도 계산을 위하여 각 객체로부터 추출된 특징 정보를 객체 속성으로 이용하며, 이 들 특징 값들의 빈도와 관련 분포 속성 간 관련성 등을 고려한 유사객체 분류방식을 사용한다. 이와 같이 얻어진 영상객체 간 유사도 정보는 지식베이스로 관리되어 자동 영상 인식에 사용될 뿐 아니라 유사 영상 검색 및 진단의 근거자료로 사용된다. 즉 전문의나 병리학자들은 진단 과정에서 유사영상의 판독 결과 등을 참조함으로써 영상의 정확한 판독 및 진단 확증의 객관적 근거 자료를 학보하는데 도움을 받을 수 있다. 구현된 시스템의 적용 예로 자궁경부 세포진 영상인식 시스템을 이용하여 그 유용성을 보인다.

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Face Recognition by Using Principal Component Analysis of Unsupervised Learning (자율학습의 PCA를 이용한 얼굴인식)

  • Cho Yong-Hyun;Cha Joo-Hee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2004.11a
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    • pp.583-586
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    • 2004
  • 본 논문에서는 자율학습의 속성을 가지는 주요성분분석을 이용한 얼굴인식 기법을 제안하였다. 이는 대용량의 입력 데이터를 통계적으로 독립인 특징들의 집합으로 변환시켜 중복신호를 제거하는 특성을 가지는 주요성분분석의 우수한 속성을 이용한 것이다. 제안된 기법을 Yale 얼굴영상 데이터베이스로부터 선택된 20개의 $320{\ast}243$ 픽셀의 영상을 대상으로 시뮬레이션한 결과, 주요성분의 개수에 따른 압축성능과 city-block, Euclidian, 그리고 negative angle(cosine)의 거리척도에 따른 인식에서의 분류성능에서 우수한 성능이 있음을 확인할 수 있었다.

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Family restaurant's selection attributes are brand image, Effect on revisit intention (패밀리레스토랑의 선택속성이 브랜드이미지와 재방문의도에 미치는 영향)

  • Seo, Gyeong-Do
    • Journal of Digital Convergence
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    • v.20 no.4
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    • pp.111-117
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    • 2022
  • In this study, the factors of customers' selection attributes on family restaurants, brand images, and the effect on revisit intention were analyzed. Specifically, the effects of brand, store, and price, which are sub-factors of family restaurants, on customers' revisit intention, store/service value, brand value, food effect, and revisit intention were examined. Among the brand image and four family restaurant selection attributes derived from this study, the most significant selection attributes were the cleanliness and hygiene of family restaurant stores and the menu and quality of family restaurant stores. Therefore, it can be said that family restaurants are price attributes and store/service attributes that have the most influence among the selection attributes. Through this, we intend to provide basic data necessary to find development plans through strategic plans for family restaurant management in the future.

Determinants of Safety and Satisfaction with In-Vehicle Voice Interaction : With a Focus of Agent Persona and UX Components (자동차 음성인식 인터랙션의 안전감과 만족도 인식 영향 요인 : 에이전트 퍼소나와 사용자 경험 속성을 중심으로)

  • Kim, Ji-hyun;Lee, Ka-hyun;Choi, Jun-ho
    • The Journal of the Korea Contents Association
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    • v.18 no.8
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    • pp.573-585
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    • 2018
  • Services for navigation and entertainment through AI-based voice user interface devices are becoming popular in the connected car system. Given the classification of VUI agent developers as IT companies and automakers, this study explores attributes of agent persona and user experience that impact the driver's perceived safety and satisfaction. Participants of a car simulator experiment performed entertainment and navigation tasks, and evaluated the perceived safety and satisfaction. Results of regression analysis showed that credibility of the agent developer, warmth and attractiveness of agent persona, and efficiency and care of the UX dimension showed significant impact on the perceived safety. The determinants of perceived satisfaction were unity of auto-agent makers and gender as predisposing factors, distance in the agent persona, and convenience, efficiency, ease of use, and care in the UX dimension. The contributions of this study lie in the discovery of the factors required for developing conversational VUI into the autonomous driving environment.

Destination Management Strategy Based on the Importance-Performance Analysis -A Case Study in Kangwon-do Province, Korea- (중요도-성취도 분석을 기초로 한 관광지 관리 방안에 관한 연구 -강원도 소재 관광지를 중심으로-)

  • 김정민
    • Korean Journal of Environment and Ecology
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    • v.17 no.3
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    • pp.276-284
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    • 2003
  • The purpose of this study is to develop effective destination management strategies for three typical tourist destinations in Kangwon province based on the importance-performance analysis. The results show that overall performance levels of 21 management attributes in three destinations is relatively low, compared to the importance levels of the attributes. 6 attributes place in Concentrate Here, 4 attributes in Possible Overkill, 6 attributes in Keep Up Good Work, and 5 attributes in Low Priority. There is no significant difference in the importance level among three destinations, while performance levels are the lowest at Naksan & Kyungpo beaches, and highest at Ganhyun area. Findings of the survey expect to be used as fundamentals in management policy making process for each destinations.

A Study of Perception of Media Characteristics: Focused on Developing MAIX(Media Advertising Impact Index) model (매체 속성 평가에 따른 매체가치 비교 연구: 매체 광고 영향력 지수(MAIX: Media Advertising Impact Index) 개발을 중심으로)

  • Lee, Hui-Jun;Jo, Chang-Hwan
    • (The) Korean Journal of Advertising
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    • v.27 no.3
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    • pp.113-139
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    • 2016
  • The purpose of this study was to investigate perception of media characteristics inorder to provide a theoretical background for the media mix strategy. Considering the qualitative-vale of each medium, this study conducted a survey consisting of 60 academic and advertising industry experts to examine how they perceive and evaluate the characteristics of TV, radio, newspaper, OOH, Internet, mobile, and digital signage in terms of media effectiveness. The results, first, show that 'media engagement', 'effective reach', and 'behavioral targeting' are three most important indices to assess the media effectiveness. Second, the Internet was best evaluated in its various aspects according to the MAIX model, which gauges the effectiveness of each advertising medium. The study also proved that each advertising medium has unique advantages so that each medium should adopt a strategic positioning to differentiate it from other media. As such, this study provides meaningful evidences to understand the various characteristics and competitive value of advertising media and useful guidelines for media planning.

Evaluation of Spa Destinations' Image & Preference (국내 온천관광지 이미지 및 선호도 평가)

  • Kim, Si-Joong
    • Journal of the Economic Geographical Society of Korea
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    • v.13 no.2
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    • pp.253-269
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    • 2010
  • This study analyzed image similarity, attribute recognition, and preference by multidimensional scaling. The analyses were carried out by 10 spa destinations (Deoksan, Bugok, Onyang, Yuseong, Suanbo, Bomun, Dongrae, Asan, Dogo, Haeundae) in Korea. The results were as follows: First, according to the analyses of image similarity of spa destinations, 'Haeundae, Dongrae and Bomun,' 'Dogo, Onyang, Asan,' and 'Deoksan, Suanbo, Bugok,' made similar image groups separately. However, Yuseong had different image from the other spa destinations in the above. Second, according to the analyses of attribute recognition of spa destinations, Deoksan and Bugok had more competitive ability in terms of 'the incidental facilities of spa destinations, 'Yuseong, Onyang, Asan, and Dogo' showed high competitiveness in terms of 'accessibility of spa destination' and 'tourism conditions.' Haeundae, Dongrae, and Suanbo had weak competitiveness in terms of 'the accessibility of spa destinations.' Third, according to the analyses of preference about spa destinations based on different job groups, office workers had a preference for Yuseong and Bugok, professional workers for Bomun, the people engaged in the farming, fishing, livestock raising and housewives for Haeundae and Dongrae, government officials, students, factory workers, the people living on a pension for Onyang, Deoksan and Dogo, and the self-employed for Suanbo. In conclusion, according to the analyses of spa destination preference based on different residence groups, residents of Seoul, Incheon, Gyunggi province, Gangwon province, Daejeon, Chungcheong province and Jeolla province had a preference for Yuseong, Suanbo, Onyang, Deoksan, and Asan and the residents of Daegu, Gyungsang province, Busan, Ulsan for Bugok, Bomun, and Haeundae.

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Clustering Technique Using Relevance of Data and Applied Algorithms (데이터와 적용되는 알고리즘의 연관성을 이용한 클러스터링 기법)

  • Han Woo-Yeon;Nam Mi-Young;Rhee PhillKyu
    • The KIPS Transactions:PartB
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    • v.12B no.5 s.101
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    • pp.577-586
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    • 2005
  • Many algorithms have been proposed for (ace recognition that is one of the most successful applications in image processing, pattern recognition and computer vision fields. Research for what kind of attribute of face that make harder or easier recognizing the target is going on recently. In flus paper, we propose method to improve recognition performance using relevance of face data and applied algorithms, because recognition performance of each algorithm according to facial attribute(illumination and expression) is change. In the experiment, we use n-tuple classifier, PCA and Gabor wavelet as recognition algorithm. And we propose three vectorization methods. First of all, we estimate the fitnesses of three recognition algorithms about each cluster after clustering the test data using k-means algorithm then we compose new clusters by integrating clusters that select same algorithm. We estimate similarity about a new cluster of test data and then we recognize the target using the nearest cluster. As a result, we can observe that the recognition performance has improved than the performance by a single algorithm without clustering.

Differences and Relationships between Interpretation Attributes, Visitors' Satisfaction, and Attitudes on Cultural Heritage according to Interpretation Media (해설매체에 따른 방문객의 해설속성평가, 만족도 및 문화유산에 대한 태도의 차이 및 영향관계 -궁의 문화해설사와 해설판을 대상으로-)

  • Kim, Ju-Yeon;Lee, Min-Jae;Ahn, Kyung-Mo
    • The Journal of the Korea Contents Association
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    • v.11 no.11
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    • pp.434-443
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    • 2011
  • The purpose of this paper is to suggest more effective interpretation method to enrich visitors' satisfaction and attitudes on cultural heritage. The paper examined the difference of interpretation effectiveness and the relationship of interpretation attributes and visitors' satisfaction and attitudes on cultural heritage according to the type of interpretation media. The result of empirical analysis shows that there is significant difference of interpretation attributes, visitors' satisfaction and attitudes on cultural heritage according to interpretation media type. Also the different interpretation attributes have effects on visitors' satisfaction, and the degree of effect of each attribute on attitudes on cultural heritage are different according to interpretation media. Most important and meaningful finding is that educational interpretation is also necessary to enhance visitors' behavior to cultural heritage preservation as well as interesting and effective interpretation have strong impacts on visitors' satisfaction. Other implications are also suggested.