• Journal of the Korean Society of Clothing and Textiles
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• v.38 no.2
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• pp.266-276
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• 2014

Price acceptability has become an important issue in the current fashion market. This study explored diverse factors that affect price acceptability (level of acceptable price and range of acceptable price). Stimuli photos of fashion products (i.e., bag, shoes, and jacket) were developed and used for online experiments with 3,000 female consumers. Important results included factors that affected the price acceptability of fashion products were price-quality relation, price concern, and product attribute perception. The results showed that female consumers depended more on price-quality relations, more positively perceived product attributes, and were less sensitive to price; in addition, they tended to have a higher level of acceptable price as well as a wider range of acceptable price for fashion products. These results were consistent across all experiments with different fashion items (i.e., bag, shoes, and jacket). Based on the results, factors that influence the price acceptability were revealed. Marketing practitioners need to more actively consider implying advertising strategies that emphasize the advancement of product attributes such as quality for highpriced products.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.295-302
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• 2016

Many countries, especially ICT powers, are supporting IoT-based technology at a national level and this technology is actively being researched in the businesses and research institutes in an aim to develop technology and create an ecosystem. Roads in the Seoul city are building public facilities based on IoT to provide various services and conveniences for the users. However, for the full-fledged introduction and development of IoT, there are many cases where infringement on security and privacy and threat for life and safety happen. Also, as the IoT environment includes various environment technologies such as the existing sensor network, heterogeneous communication network, and devices optimized for the IoT environment, it inherits the existing security threat and various attack techniques. This paper researches the attribute based encryption technology for safe communication in the IoT environment. The data collected from the device is transmitted utilizing the attribute based encryption and by designing the key generation protocol, grades and authorities for the device and users are identified to transmit safe messages.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.18 no.5
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• pp.49-57
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• 2008

User authentication and key agreement are very important components to provide secure home network service. Although the TTA adopted the EEAP-PW protocol as a user authentication and key transmission standard, it has some problems including not to provide forward secrecy. This paper first provides an analysis of the problems in EEAP-PW and then proposes a new attribute-based authenticated key agreement protocol, denoted by EEAP-AK. to solve the problems. The proposed protocol supports the different level of security by diversifying network accessibility for the user attribute after the user attribute-based authentication and key agreement protocol steps. It efficiently solves the security problems in the EEAP-PW and we could support more secure home network service than the EEAP-AK.

• Journal of the Korean Society of Food Culture
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• v.24 no.1
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• pp.51-57
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• 2009

The purpose of the study was to assess the relative preference for hot & spicy sauces using conjoint analysis, with focus on English consumers. From the results of the study, we were able to derive a standard with the best sauce attributes. The respondent group was selected from the CCFRA's customer database. The qualification criteria for inclusion in the sample were: the primary grocery shopper in the household, a consumer of a range of home cooked oriental & far eastern cuisines, enjoyed hot & spicy chili-based foods, and willing to buy hot chili-based oriental sauces. A total of 676 respondents completed the survey in which 76% were women, and all respondents were between the ages of 18 and 65 years. An online survey method was used and a conjoint analysis was adopted. In conjoint analysis, a product is described as a combination of a set of attribute levels, where a utility value is estimated for each attribute level. In summing up the results of this study, the sensory property (flavor) attribute was most important, the second was brand, and the third was price. For the sensory property attribute, a mild chili sauce of blended garlic, sugar, and lime scored highest. In terms of brand, Blue Dragon was selected as the best. The lesser known Korean Kochujang brand of "Hot&Joy" scored lowest with respect to brand value. Encouraging, however, was the description based on the Hot&Joy product: a hot chili sauce blended with ginger and garlic, which held appeal across age groups and genders. In terms of price, 75p per bottle had the best score.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.5
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• pp.671-679
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• 2016

Bridges, which constitute one of the key facilities in a social infrastructure, are easily accessed and used by users, so that keeping their performance above a certain level is essential. According to various cases in the U.S., Japan and Europe with a long construction history, it is expected that the maintenance cost of bridges in Korea will increase continuously in the future, so a rational decision making system based on engineering factors is necessary to optimize the performance of and maintain them by allocating the limited budget efficiently. This study is a preliminary basic study for the purpose of developing a common asset management system for managing all of the bridges and maintaining the level of service provided by them. The scope of this preliminary study is limited to bridges in urban areas. The bridge asset management system for bridges in urban areas, their level of service (LOS) and performance measure (PM) were developed by carrying out a workshop consisting of both experts and stakeholders. The analysis on the weights of the value and performance measure for each performance indicator was carried out by using the multi-attribute utility theory and the AHP method. In order to confirm the application of the weight of the performance measure and value of the performance indicator, six bridges in an example city were selected, LOS analysis was applied and its results were reviewed.

• Journal of the Korea Safety Management & Science
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• v.2 no.4
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• pp.113-124
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• 2000

First, in order to improve selecting method of quality characteristic level desired by customers, S/N(Signal-to-Noise) ratio of Taguchi in larger-the-better characteristics was applied. Second, the Matrix classification standard of ACE(Attribute Categorization Evaluation) is presented using KANO model on difference analysis of importance and satisfaction through questionnaire from customers. This is for reflecting the diverse EC which customers want in EC quality sufficiently. Also, establishing sales point will be helpful in business strategy through presenting types that are able to decide planning quality. Third, the important measure of EC about correlation among quality characteristics and a new weight of EC are calculated depending on importance of EC and the weight of customer attribute and materials of relationship matrix through correlation matrix analysis.

• Proceedings of the Safety Management and Science Conference
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• 2000.05a
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• pp.481-490
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• 2000

First, in order to improve selecting method of quality characteristic level desired by customers, S/H(Signal-to-Noise) ratio of Taguchi in larger-the-better characteristics was applied. Second, the Matrix classification standard of ACE(Attribute Categorization Evaluation) is presented using KANO model on difference analysis of importance and satisfaction through questionnaire from customers. This is for reflecting the diverse EC which customers want in EC quality sufficiently. Also, establishing sales point will be helpful in business strategy through presenting types that are able to decide planning quality. Third, the important measure of EC about correlation among quality characteristics and a new weight o( EC are calculated depending on importance of EC and the weight of customer attribute and materials of relationship matrix through correlation matrix analysis.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10a
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• pp.379-381
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• 2004

지난 10년간 네트워크 기반의 컴퓨터 공격은 급격히 증가했으며 이에 따라 보안 기술도 발달하게 되었다. 침입탐지시스템은 컴퓨터 보안 기술로써 발전되어 왔으나 과도한 침입시도정보의 발생과 그 대부분이 긍정오류(false positive)를 발생시킴으로써 실제로 관리하는데 많은 어려움을 준다. 이러한 문제에 대안으로 여러 연구들이 진행되어 왔으며, 침입시도정보의 축약을 통한 관리적 측면에서의 효율을 높이는 연구도 진행되고 있다 그러한 연구들의 한 방법으로서 속성중심귀납법(Attribute Oriented induction, 이하 AOI)은 침입시도정보를 속성정보에 기반 하여 의미 있는 묶음으로 클러스터링 하는 방식이다 본 논문은 이 방식에서의 문제점을 분석하였으며 그 해결책으로써 본 논문에서는 위협수위 기반 AOI 클러스터링 기법을 제시하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.5
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• pp.1260-1272
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• 2024

This paper tackles the prevalent challenges faced by existing tourism route recommendation methods, including data sparsity, cold start, and low accuracy. To address these issues, a novel intelligent tourism route recommendation method based on collaborative filtering is introduced. The proposed method incorporates a series of key steps. Firstly, it calculates the interest level of users by analyzing the item attribute rating values. By leveraging this information, the method can effectively capture the preferences and interests of users. Additionally, a user attribute rating matrix is constructed by extracting implicit user behavior preferences, providing a comprehensive understanding of user preferences. Recognizing that user interests can evolve over time, a weight function is introduced to account for the possibility of interest shifting during product use. This weight function enhances the accuracy of recommendations by adapting to the changing preferences of users, improving the overall quality of the suggested tourism routes. The results demonstrate the significant advantages of the approach. Specifically, the proposed method successfully alleviates the problem of data sparsity, enhances neighbor selection, and generates tourism route recommendations that exhibit higher accuracy compared to existing methods.

• Journal of Korean Society for Quality Management
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• v.45 no.1
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• pp.55-64
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• 2017

Purpose: A large number of attributes with mixed levels are often considered in the conjoint analysis. The respondents may have difficulty with scoring their preferences accurately because of many attribute items involved in each survey question. We research on the technique for reducing the number of attribute items. Methods: In order to reduce the number of attribute items in a survey question, we make a new attribute by merging two original attributes. A 'No question' option is also included as a new level in a merged attribute. Results: We propose BIB $6^4$ design in the case where we have four attributes with 2 levels and 3 levels, respectively and then analyze all the respondents survey data generated by the repeated simulation study in order to compare various model selection methods. Conclusion: How to reduce the number of attribute items is proposed and how to design and analyze the survey data are illustrated.