• 전자공학회논문지
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• 제50권9호
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• pp.21-31
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• 2013

CP-ABE 방식은 신뢰된 서버 없이 접근 제어 메카니즘을 구현할 수 있다. 본 논문에서는 권한을 부여받은 사용자가 민감한 데이터에 접근할 수 있도록 CP-ABE 방식으로 속성기반 접근 제어 메카니즘을 제안한다. CP-ABE 개념은 암호문에서 접근 제어 방법을 포함하는 것이다. 만약 사용자가 암호문의 접근 구조를 통해 속성을 가진다면 암호문은 복호될 수 있다. 본 논문에서는 제안한 CP-ABE 방식이 비단조 접근 구조로 표현됨을 증명하고 다른 CP-ABE 방식들과 성능 비교한다.

• 한국의류학회지
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• 제35권9호
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• pp.1099-1111
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• 2011

This study identified the types of consumer review information about apparel products based on consumer satisfaction/dissatisfaction with the availability/non-availability of consumer review information for online stores. Data were collected from 318 females aged 20s' to 30s', who had significant experience in reading consumer reviews posted on online stores. Consumer satisfaction/dissatisfaction with availability or non-availability of review information on online stores is different for information in regards to apparel product attributes, product benefits, and store attributes. According to the concept of quality elements suggested by the Kano model, two types of consumer review information were determined: Must-have information (product attribute information about size, fabric, color and design of the apparel product; benefit information about washing & care and comport of the apparel product; store attribute information about responsiveness, disclosure, delivery and after service of the store) and attracting information (attribute information about price comparison; benefit information about coordination with other items, fashionability, price discounts, value for price, reaction from others, emotion experienced during transaction, symbolic features for status, health functionality, and eco-friendly feature; store attribute information about return/refund, damage compensation and reputation/credibility of online store and interactive and dynamic nature of reviews among customers). There were significant differences between the high and low involvement groups in their perceptions of consumer review information.

• 한국의류학회지
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• 제21권8호
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• pp.1396-1405
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• 1997

This study investigated country-of-origin effects by comparatively analyzing consumer attitude toward country-of-origin of imported apparel according to apparel product attributes. Fishbein attitude model was used. The effects of consumer characteristics such as attitude of consumers toward general imported apparel and demorgraphic variables on consumer attitude toward country-of-origin were also identified. Italy, U.S.A, Japan, Hong Kong, Korea were used as country of origin. Data were obtained from male and female subjects(total 570) aged mostly 20's. Statistical analysis showed: 1) Apparel product attributes were classified into 3 factors, expressive, instrumental and brand, which are the order of importance for purchasing. 2) Consumer indicated more favorable attitude toward 'made in 'Italy' nd made in 'Korea' in each attribute factor. 'Made in Korea' roducts were evaluated highest in expressive attribute factor but less favored than 'made in Italy' n brand attribute factor. 'Made in U.S.A and made in Japan' were evaluated favorable in instrumental factor, whereas 'made in Hong Kong' had the least favorable attitude in every attribute factor. 3) The uniqueness and good quality of imported apparel appeared to be the most strong variable in predicting consumer attitude toward each country-of-origin. 4) The attitude toward country of origin was different according to sex and age.

• 유통과학연구
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• 제15권6호
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• pp.5-12
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• 2017

Purpose - This study is to investigate the effects of consumption values of retailers on the importance of store attributes, and to determine the influence on the consumption values of consumers who shop at complex shopping malls on the empirical and functional attributes in those malls as well as on the influence of on/off-line channels. Research design, data, and methodology - With 344 surveyed questionnaires, this study was conducted by using SPSS 22.0 to verify the reliability and validity of the measured variables. Structural equation model (SEM) was employed as a statistical method for the hypotheses test of this study. Results - The results showed that hedonic value has more influence on the importance of empirical attribute than that of functional attribute in shopping malls. In addition, practical value has more influence on functional attributes than empirical properties of shopping malls. However, these relationships showed the difference in on/off-line channels. As for off-line channels, consumers' consumption values were more influential on empirical attributes, while functional attributes were more important in on-line channels Conclusions - This study analyzed the influence on the importance of the consumption values in store attributes, and the effects of each channel with suggesting practical implications.

• 한국해안·해양공학회논문집
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• 제22권3호
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• pp.143-148
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• 2010

1910년대에 제작된 지형도와 2003년에 구축된 해안선 조사측량 DB를 비교하여 안면도의 해안선 길이 및 면적 변화와 해안선의 속성 분포를 산정하였다. 안면도의 해안선은 수많은 간척사업으로 단순화되어 58%정도 감소하였으나, 면적은 36%정도 증가하였다. 2003년에 자갈 해안선의 분포가 가장 우세하였다. 방조제 해안선의 길이도 전체 해안선의 33%에 달하였다. 자갈 해안선은 안면도 동측 해안에, 모래 해안선은 안면도 서측 해안에 주로 분포하는 것으로 나타났다. 이러한 해안선 속성을 연안침식지역에 적용하기 위해서는 정확한 과거의 해안선이 요구되는 바, 1910년대에 제작된 지형도는 이러한 목적에는 적합하지 않은 것으로 판단되었다.

• 융합경영연구
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• 제10권1호
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• pp.27-37
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• 2022

Purpose: This study investigates how to successfully promote the smart product bundle by exploring (1) how consumers' adoption intention toward a smart product bundle differs by the complementarity level of the bundled items and (2) how the ad appeal type influences the effect of complementarity level on adoption intention via goal fluency. Research design, data and methodology: This study was a 2 (complementarity level: low vs. high) × 2 (ad appeal type: attribute vs. benefit) between-subjects experiment. The proposed hypotheses were verified using analysis of variance (ANOVA) and bootstrap analysis using PROCESS. Results: This research demonstrated that adoption intention toward smart products increases when the complementarity level of bundled smart items is high. Goal fluency underlies this relationship. Further, attribute versus benefit appeal type moderates the relationship between the complementarity level and goal fluency. Conclusions: Compared with the attribute appeal, benefit appeal leads to higher goal fluency when the complementarity level of the bundled items is low. However, there was no differential impact of appeal type on goal fluency when the complementarity level of bundled items is high. Finally, goal fluency mediated the interaction of complementarity level × ad appeal type on adoption intention.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.883-889
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• 2009

The importance of cost estimate in early stage such has been increasing due to market change and severe competition in construction industry. Because the adjustable budget is only 20% after design stage, most of the crucial decisions to influence cost is made in the early stage. However, in the early stage, the project scope is not defined completely so that estimator has inaccurate information to make critical decision. Therefore, this research suggests the cost estimate method using case-based reasoning. Case-based reasoning is appropriate for the early cost estimating, as it has the strength of rapidity and convenience in cost estimation. This research analyzes 84 actual data of public apartment on the scale of 11~15 stories. In order to extract the most similar case, at the first step this research identifies influence factors and calculates attribute similarity. In case-based reasoning, the most challenging task is determining attribute weight. At the third step, this research calculates case similarity which is aggregated attribute similarity multipled by attribute weight. Finally, extracts the most similar case which has the highest score of case similarity.

• Asia pacific journal of information systems
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• 제14권3호
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• pp.77-92
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• 2004

When humans make decisions, they differentiate classifications of individual attribute variables that affect the decisions according to the importance and pattern of each attribute variables. The present study examines the practicality of the proposed Code Arrangement-Based Reasoning(CABR), which resembles the human's way of reasoning. To this end, we developed a CABR technique that classifies each attribute variable affecting significant impacts on the target variable into a cluster and assigns a code to the cluster. For verifying the proposed technique, both case-based reasoning and CABR were used for the customer continuance judgment problem of an automobile insurance company. Results indicated that the performance of CABR is close to the one of the case-based reasoning. The CABR also shows the possibility of using bio-informatics techniques for organizational data analysis in the future.

• 대한산업공학회지
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• 제27권4호
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• pp.394-405
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• 2001

Since most real-world application data involve continuous-valued attributes, properly addressing the discretization process for constructing a decision tree is an important problem. A continuous-valued attribute is typically discretized during decision tree generation by partitioning its range into two intervals recursively. In this paper, by removing the restriction to the binary discretization, we present a hybrid multi-interval discretization algorithm for discretizing the range of continuous-valued attribute into multiple intervals. On the basis of experiment using semiconductor etching machine, it has been verified that our discretization algorithm constructs a more efficient incremental decision tree compared to previously proposed discretization algorithms.

• 한국정보과학회논문지:데이타베이스
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• 제37권6호
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• pp.285-291
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• 2010

본 연구에서는 나이브 베이시안 학습의 환경에서 속성의 가중치를 계산하는 새로운 방식을 제안한다. 기존 방법들이 속성에 가중치를 부여하는 방식인데 반하여 본 연구에서는 한걸음 더 나아가 속성의 값에 가중치를 부여하는 새로운 방식을 연구하였다. 이러한 속성값의 가중치를 계산하기 위하여 Kullback-Leibler 함수를 이용하여 가중치를 계산하는 방식을 제안하였고 이러한 가중치들의 특성을 분석하였다. 제안된 알고리즘은 다수의 데이터를 이용하여 속성 가중치 방식과 비교하였고 대부분의 경우에 더 좋은 성능을 제공함을 알 수 있었다.