• 인터넷정보학회논문지
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• 제4권4호
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• pp.45-51
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• 2003

일반적으로 퍼지객체지향자료모형에서 속성값은 퍼지집합을 표현한다. 만일 퍼지객체지향자료모형에서 속성값을 구간값 퍼지집합으로 표현할 수 있다면, 퍼지객체지향자료모형에서 사용하는 속성값을 더 유연하게 표현하는 것이 가능하다. 퍼지객체지향자료모형의 상속구조에 나타나는 프레임내에 있는 속성값을 구하기 위해 구간값 퍼지집합을 사용하는 우선순위 논리곱연산을 이용하여 계산한다. 이 방법은 속성값의 소속정도가 기존의 퍼지집합이 아닌 구간값 퍼지집합으로 표현하는 지식정보처리분야에서 사용할 수 있다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권10호
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• pp.3685-3707
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• 2021

In recent years, facial attribute editing has been successfully used to effectively change face images of various attributes based on generative adversarial networks and encoder-decoder models. However, existing models have a limitation in that they may change an unintended part in the process of changing an attribute or may generate an unnatural result. In this paper, we propose a model that improves the learning of the attention mask by adding a spatial attention mechanism based on the unified selective transfer network (referred to as STGAN) using semi-supervised learning. The proposed model can edit multiple attributes while preserving details independent of the attributes being edited. This study makes two main contributions to the literature. First, we propose an encoder-decoder model structure that learns and edits multiple facial attributes and suppresses distortion using an attention mask. Second, we define guide masks and propose a method and an objective function that use the guide masks for multiple facial attribute editing through semi-supervised learning. Through qualitative and quantitative evaluations of the experimental results, the proposed method was proven to yield improved results that preserve the image details by suppressing unintended changes than existing methods.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2014년도 춘계학술대회
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• pp.76-78
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• 2014

나이브 베이스 학습은 유명하면서도, 빠르면서도 효과적인 지도 학습 방법으로, 다소 잡음을 가진 라벨이 있는 데이터집합을 다루는 데 좋은 성능을 보인다. 그러나, 나이브 베이스의 조건적 독립성 가정은 실세계 데이터를 다루는 데 필요한 특성에 다소 제약사항을 가지게 한다. 지금까지 연구자들이 이 조건적 독립성 가정을 완화시키는 방법들을 제안해 왔다. 이러한 방법들은 어트리뷰트 가중치, 커널 밀도 측정 등이 있다. 본 논문에서, 우리는 커널 밀도 측정과 어트리뷰트 가증치를 이용하여 나이브 베이스의 학습 효과를 개선하기 위한 NB Based on Attribute Weighting in Kernel Density Estimation (NBAWKDE) 이라는 새로운 접근 방법을 제안한다.

• 디지털산업정보학회논문지
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• 제17권1호
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• pp.75-84
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• 2021

For analyzing big data, the social network is increasingly being utilized through relational data, which means the connection characteristics between entities such as people and objects. When the relational data does not exist directly, a social network can be configured by calculating relational data such as attribute similarity from attribute data of entities and using it as links. In this paper, the composition method of the social network using the attribute similarity between entities as a connection relationship, and the clustering method using subgroups for the configured social network are suggested, and the clustering effectiveness of the clustering results is evaluated. The analysis results can vary depending on the type and characteristics of the data to be analyzed, the type of attribute similarity selected, and the criterion value. In addition, the clustering effectiveness may not be consistent depending on the its evaluation method. Therefore, selections and experiments are necessary for better analysis results. Since the analysis results may be different depending on the type and characteristics of the analysis target, options for clustering, etc., there is a limitation. In addition, for performance evaluation of clustering, a study is needed to compare the method of this paper with the conventional method such as k-means.

• 한국유기농업학회지
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• 제30권2호
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• pp.191-206
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• 2022

Rice has prevailed as a staple food in South Korea. Rice consumption has sharply shrunk nowadays. In the wake of COVID-19 Shock and the "untact" era, the instant rice market has significantly grown, and there is a possibility of solving the shrinking consumption of domestic rice. This study contributes to the development of rice consumption promotion strategies by examining the factors of purchasing instant rice based on the Hedonic Price Methodology. In particular, given the increase in online market, this study compares attribute values of product characteristics between online and offline markets. The empirical results show that calorie, brand, organic and functional products have positive effects on instant rice prices. The rate of carbohydrate, the PB and bundle attributes have negative effects on instant rice prices. The results also show that the magnitude of brand, bundle and PB attribute values are bigger in offline market while that of the number of multigrain attribute value is relatively bigger in online market. The organic attribute value is important regardless of marketing channels.

• Asia Marketing Journal
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• 제18권1호
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• pp.37-53
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• 2016

The purpose of this study is to show that the effectiveness of utilitarian versus hedonic attributefocused advertisement on product evaluation depends on the arousal level of positive emotion, and to explore mediation effect of cognitive response to utilitarian attribute-focused advertisement and affective response to hedonic attribute-focused advertisement on the effectiveness of utilitarian versus hedonic attribute-focused advertisement. This research employs a 2 (arousal level: mild vs. elevated) × 2 (advertisement type: utilitarian vs. hedonic) between-subjects design, and 200 undergraduate students participate in the experiment, in which there are 50 students at each experimental group. The results of ANCOVA with positive emotion level as a covariate on advertised product evaluation show significant interaction effect of arousal level and advertisement type, and no effect of positive emotional level. Both of the mediation effects of the cognitive response and those of the affective response are significant. Participants under mild (elevated) arousal of positive emotion more positively evaluate the product in utilitarian (hedonic) attribute-focused advertisement. The positive effect of utilitarian (hedonic) attributefocused advertisement on product evaluation is partially mediated by cognitive (affective) response to the advertisement when consumers are under the mild (elevated) arousal of positive emotion. The results of this study show that advertisers should use utilitarian (hedonic) attribute-focused advertisement to consumers under the mild (elevated) arousal of ambient positive emotion, which should be searched by exploring what kind of event they have experienced.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1991년도 춘계학술대회
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• pp.56-60
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• 1991

This paper describes an algorithm that recognizing the QRS complex using attribute grammar interpreter. This System extracts primitives and their attributes by linear approximation and then evaluated by attribute grammar interpreter.

• 한국정보보호학회:학술대회논문집
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• 한국정보보호학회 2002년도 종합학술발표회논문집
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• pp.284-287
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• 2002

본 논문에서는 제안하는 AC(Attribute Certificate)를 이용하여 Web 상에서의 권한을 제어하는 방식은 기존의 아이디/패스워드 방식의 사용자 인증보다 좀더 안전하게 사용자에 대한 권한을 관리할 수 있다. 기존의 방식은 ACL(Access Control List)를 사용하여 권한 인증을 하기 때문에 서버의 자원을 낭비하게 된다. 본 논문에서 제한하는 방식은 Web상에서의 활동 시 AC를 이용하여 사용자를 인증하게 된다. 이러한 인증을 각 서비스 제공자 사이의 AC에 대한 양식을 공유하고 권한 정보를 공유함으로써 많은 서비스 제공자 사이의 DB 문제를 해결하고 제휴된 어느 서비스 제공자에게나 사용자가 자신의 AC를 제공하여 권한을 획득할 수 있다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2006년도 춘계학술발표대회
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• pp.1315-1318
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• 2006

모형 설계와 도형의 생성은 점, 곡선, 기울기과 같은 특정 속성들의 정보로 만들어 진다. 도형을 생성할 때 곡면 조각, 움직이는 곡선과 점, 일반적인 곡선, 연속 혹은 닫힌 곡선, 빠른 계산들은 중요하게 생각 되는 모델링 개념이다. 이 논문에서는 Attribute Based $Modeling^{TM}(A-B\;Modeling^{TM})$ surface을 사용하여 디자인을 디자인할 때 필요한 Multi-sided patch의 설계와 인터페이스를 구현하고자 한다.

• 기술혁신학회지
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• 제3권1호
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• pp.127-138
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• 2000

This pape applies the multi-attribute utility theory for estimating the non-economci value of technology. The technology of the code division multiple access in mobile communications is used as a case study. The technology of the code division multiple access in mobile communications is used as a case study. The result shows that the multi-attribute utility theory is a useful method for es-tinmating the non-economic value of technology and gaining an insight into the importance of tech-nology innovation.