• International Journal of Costume and Fashion
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• v.15 no.2
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• pp.1-17
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• 2015

This paper examines the contemporary relationship between fashion brands and celebrities. Noting the historic role of celebrities in fashion and their current prevalence in the industry, the paper moves beyond discussion of the motives and effectiveness of celebrity endorsement, and instead explores its nature and practice in the fashion sector. The paper proposes a new definition of celebrity endorsement in fashion, offers a classification of celebrities involved in fashion brand endorsement, and presents a typology examining the contemporary means by which a fashion brand may collaborate with celebrities. The typology is defined in context of the nature, length and cost to the brand of the relationship between it and the celebrity. The methodology uses secondary sources and qualitative primary research in an exploratory agenda in order to propose conclusions and suggest ideas for further research.

• Annual Conference of KIPS
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• 2016.10a
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• pp.162-163
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• 2016

사람은 의사소통을 위해 음성, 글자, 몸짓 등 다양한 매개체를 활용한다. 오늘날 스마트폰의 발달로 문자의 비중이 높아지고 있지만 음성 대화는 여전히 사람들 사이에서 가장 많이 사용되어지는 의사소통 수단이다. 음성 대화는 녹음해서 음성 데이터로 남길 수 있다. 음성을 녹음하는 과정은 간편하지만 녹음파일에서 원하는 데이터를 찾는 것은 많은 시간이 소모된다. 본 논문에서는 음성 데이터를 인식하여 텍스트화 시키고 문자화 된 데이터를 분석하여 사용자에게 효율적으로 분류하는 시스템을 제안한다. 이 시스템으로 사용자는 음성 데이터의 내용을 들어보지 않고 파악할 수 있으며 원하는 내용을 찾을 수도 있다.

• Proceedings of the Korea Society for Energy Engineering kosee Conference
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• 2004.05a
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• pp.353-358
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• 2004

In recent, the trends in national energy Policy are established in the context of the integrated risk estimation for various national electricity generating options. The approach takes account of health, environmental, economic, and social aspects of electricity generation systems. In the present work, nuclear, coal, and LNG sources are chosen because these hold more than 90% of national total electricity generation in a descending order. A life cycle assessment (LCA) methodology is used for comparing environmental impacts of these options during the life cycle such as construction, operation as well as disposal stages. Here, the LCA consists of life cycle inventory analysis, classification/selection process of impact categories, characterization process, and normalization process of each category. LCA can be an useful tool for environmental impact assessment of future national energy options. At the planning stage of future energy Policies, the results of LCA would be taken into consideration. According to data update at the construction and disposal stages, the LCA needs to be conducted iteratively.

• Management & Information Systems Review
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• v.26
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• pp.153-180
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• 2008

Most previous electronic commerce studies have focused on a single product or similar products. The effects of different product types have been relatively neglected. and so previous studies have limited the generalization. The purpose of this study was to explore the effects of different product types. The Internet product and service classification grid proposed by Peterson et al.(1997). A survey-based approach was employed to investigate the research questions. Regression analysis demonstrated that the determinants of online shopping acceptance differ among product or service types. As a result of analysis, personal innovativeness of information technology, perceived Web security, personal privacy concerns, and product involvement can influence consumer acceptance of online shopping, but their influence varies according to product or service types.

• Journal of Family Resource Management and Policy Review
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• v.13 no.1
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• pp.23-39
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• 2009

This study was an attempt to examine the basic scheme required for the job analysis of healthy family-center workers in the context of human resource management. For this purpose, factors including frequency, importance, priority, and difficulty were examined. The job classification and concrete job activities were extracted from the interviews of eight healthy family-center workers, and these factors were then analyzed from the recordings. From the results of this study, 28 job tasks were collected and the four job types were classified. The results can be used for job analysis and human resource development (HRD). This study suggests that various methods should be used for job analysis and that a large number of samples should be utilized for the further studies.

• Journal of the Korean Operations Research and Management Science Society
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• v.28 no.2
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• pp.105-127
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• 2003

In this paper, four different data mining techniques, two neural networks and two statistical modeling techniques, are compared in terms of prediction accuracy in the context of bankruptcy prediction. In business setting, how to accurately detect the condition of a firm has been an important event in the literature. In neural networks, Backpropagation (BP) network and the Kohonen self-organizing feature map, are selected and compared each other while in statistical modeling techniques, discriminant analysis and logistic regression are also performed to provide performance benchmarks for the neural network experiment. The findings suggest that the BP network is a better choice among the data mining tools compared. This paper also identified some distinctive characteristics of Kohonen self-organizing feature map.

• Annual Conference on Human and Language Technology
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• 2016.10a
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• pp.141-146
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• 2016

대화 시스템에서 사용자가 나타내는 발화에 내재된 감정을 분류하는 것은, 시스템이 적절한 응답과 서비스를 제공하는데 있어 매우 중요하다. 본 연구에서는 대화 내 감정 분류를 하는데 있어 직접적, 간접적으로 드러나는 감정 자질을 자동으로 학습하고 감정이 지속되는 대화 문맥을 효과적으로 반영하기 위해 CNN-LSTM 방식의 딥 뉴럴 네트워크 구조를 제안한다. 그리고 대량의 구어체 코퍼스를 이용한 사전 학습으로 데이터 부족 문제를 완화하였다. 실험 결과 제안하는 방법이 기존의 SVM이나, 단순한 RNN, CNN 네트워크 구조에 비해 전반전인 성능 향상을 보였고, 특히 감정이 있는 경우 더 잘 분류하는 것을 확인할 수 있었다.

• Journal of the Korean Home Economics Association
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• v.49 no.2
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• pp.27-36
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• 2011

This study dealt with free play activities in the curricula of childcare centers in Daejeon area. 29 teachers from 21 day care centers were interviewed individually to obtain an understanding of teachers perceptions and conflicting views about play activity in the context of different day care curricula. The data were analysed qualitatively, using categorization and key word classification, frequency analyses and chi-squared tests. The results were as follows: (1) play-oriented curricula included sufficient play time and planned play activities in terms of the children's development. Children's freedom in play, optimum intercession by teachers, and interrelating activities between activity areas were included. In mixed curricula, children's freedoms were limited in many cases, and interrelating play between activity areas was hardly found. Formal lesson-oriented curricula resulted unplanned play activities and teachers' passive intercession of play. (2) Most teachers believed that play activities were more important to a child's development than formal lessons.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10a
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• pp.112-114
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• 2004

지능형 로봇 에이전트 기술이 발전하면서 서비스 질을 높이기 위한 방법으로 컨텍스트의 활용성이 부각되고 있다. 하지만 컨텍스트 분류 기술들은 아직까지 초기 개발 단계이며 다양한 방법들이 시도되고 있다. 본 논문에서는 전문가의 지식과 학습된 지식을 함께 적용할 수 있고 사람이 그 내용을 이해하기 유리한 베이지안 네트워크(BN)를 이용한 컨텍스트 분류 방법을 제안한다. 일반적인 BN 구조 학습에 사전 지식 및 방향성, 연결 관계 범위를 부여할 수 있는 제한(Constraint)을 적용한 효율적인 컨텍스트 분류 방법을 소개하고, 몇 가지 비교 실험을 통해 기존 방법에 비해 전문가의 개입이 줄어들고 좀 더 신뢰성 있는 컨텍스트 분류기를 얻을 수 있음을 보인다.

• Communications for Statistical Applications and Methods
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• v.22 no.5
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• pp.475-485
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• 2015

Similar to regression, many measures to detect influential data points in discriminant analysis have been developed. Many follow similar principles as the diagnostic measures used in linear regression in the context of discriminant analysis. Here we focus on the impact on the predicted classification posterior probability when a data point is omitted. The new method is intuitive and easily interpretable compared to existing methods. We also propose a graphical display to show the individual movement of the posterior probability of other data points when a specific data point is omitted. This enables the summaries to capture the overall pattern of the change.