• Proceedings of the Korea Contents Association Conference
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• 2015.05a
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• pp.41-42
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• 2015

사람이 영화를 이해하는 주된 내용은 스토리이다. 따라서 영화를 검색하거나 추천하기 위해서는 스토리 차원의 영화 분석이 선행되어야 한다. 더욱이 영화 추천이나 검색을 위해서는 영화간의 스토리차원의 비교를 수행할 수 있는 방법론에 대한 연구가 필요하다. 이를 위해 본 논문에서는 등장인물 기반으로 하는 영화 정규화 방법론을 소개하고 군집화를 통해 그 의미를 고찰한다.

• Proceedings of the Korean Information Science Society Conference
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• 1999.10c
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• pp.164-166
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• 1999

본 연구에서는 객체지향적 CASE 툴인 ObjecTime을 이용하여 지능형 제조 운영 시스템을 설계/구현하였다. 객체지향적 프로그래밍 방법론과 ROOM(Real-time Object-Oriented Modeling) 방법론을 사용하여 지능형 제조 운영 시스템에서 필요한 객체를 설계하였으며, 이들 객체의 계층도와 관계를 정의하였다. 객체지향적 설계 방법론을 사용하여 설계한 시스템은 모델링 과정에서 실행화일을 얻는 과정까지 발생하는 오류를 최소화할 수 있다는 장점이 있다. 또한, 본 연구에서는 제조 시스템의 모니터링과 제조시스템 운영 소프트웨어의 자료 입력 및 수정을 위한 그래픽 사용자 인터페이스 툴을 제작하였다.

• Journal of Digital Contents Society
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• v.4 no.2
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• pp.157-165
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• 2003

In this paper we propose a multi-step approach for interactive design development based on usability engineering and show the proposed methodology is able to apply the digital art works. As an example, we show the proposed multi-step approach is efficient in the developing process of a digital design works.

• Proceedings of the Korea Contents Association Conference
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• 2018.05a
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• pp.93-94
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• 2018

비즈니스 모델 연구는 대부분이 제품, 서비스에 관한 것으로, 개발 중인 기술에 대해 체계적으로 접근 분석한 연구는 아직까지 미흡하다. 본 고에서는 비즈니스 모델 캔버스를 활용하여 기술에 대한 비즈니스 모델을 분석할 수 있는 방법론을 개발하고자 한다. 개발된 방법론은 한국전자통신연구원에 개발 중인 R&D 기술에 대한 비즈니스 모델 분석에 활용될 것이다.

• Korean Journal of Social Welfare
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• v.62 no.2
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• pp.349-373
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• 2010

The purpose of this paper is to critically analyze the way of knowledge production in social welfare and to graft feminist epistemology to the discipline of social welfare. To put it more concretely, as analyzing the epistemological and methodological issues appeared in the articles in "orean Journal of Social Welfare", this study examines the meanings of feminist epistemology and its implications to research and practice in social welfare. From its onset, feminist research criticized the 'mainstream' ways of conceptualizing knowledge construction via research conducted upon a positivist epistemological position. Particularly, western feminists have problematized the androcentric bias embedded within the so-called 'social sciences' that we have taken for granted as 'scientific,' 'objective,' and 'neutral,' and attempted to redirect and reformulate the way of knowledge production with new concepts of 'strong objectivity,' 'partial/situated knowledge,' and 'strong reflection.' We believe that the implications of feminist epistemology to enable us to reflect the power relationship between subject and object, I and Other, and the researcher and the researched will contribute to recover the original vision of social welfare as critical theory and liberating practice in social work.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.2
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• pp.153-167
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• 2024

DMAIC is the most familiar problem-solving methodology to battery manufacturing-related engineers, but continuous problems such as task delay, insufficient performance, and partial optimization are occurring due to indiscriminate application to various tasks of battery production system developers. In order to secure an "optimized model for DMAIC methodology" that can effectively respond to battery production system developers' tasks, a three-stage research model was used to derive the required characteristics of the production system developer task methodology, analyze the suitability of DMAIC, and conduct optimization modeling by supplementing the shortcomings. It was confirmed that the DMAIC methodology can be more suitable by applying the "system structural seven-step methodology", which is the result of this study, to developer tasks. It is expected that it will be applied to various industrial fields in the future by making it easier to learn and allowing differentiated operations according to the characteristics of various industries.

• Journal of Technology Innovation
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• v.22 no.3
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• pp.225-260
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• 2014

In this paper, we present a literature review of the mechanisms and methodology for technology spillover, in order to provide a theoretical and practical foundation for estimating the technology spillover effect of public funded R&D programs. Our research consists of four parts. First, we investigate what technology spillover is and how it works. Second, we review the methodology used to empirically measure technology spillover, with a view to understanding the advantages and disadvantages of each method. Third, we identify the gap between the spillover phenomenon and its estimated results, caused by the limitations of the methodology, and discuss the challenges in measuring technology spillover. Finally, we present several considerations to improve the measurement of technology spillover in the context of public funded R&D programs. Our paper provides policy makers and researchers with basic knowledge about technology spillover and helps them suitably evaluate the results obtained from the literature review. In addition, it contributes towards improving the existing methodology by recognizing the gap between the spillover phenomenon and the methodology.

• Archives of design research
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• v.16 no.3
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• pp.191-200
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• 2003

This paper summarizes the characters of virtual reality contents and its design problems, and suggests user centered approach in design methodology of VR contents. Based on case study of former VR contents design project, I developed a new VR contents design process in experience design perspective. This design process was applied on Tangible Space Initiative project of KIST, which showed positive roles of this design process as a dear communication media between project players, and an active generator of user-centered interaction design.

• Journal of Digital Contents Society
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• v.16 no.5
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• pp.671-680
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• 2015

The Joint Bayesian[1] method was published in 2012. Since then, it has been used for binary classification in almost all state-of-the-art face recognition methods. However, no improved methods have been published so far except 2D-JB[2]. In this paper we propose an improved version of the JB method that considers the features of both the given face image and its mirror image. In pattern classification, it is very likely to make a mistake when the value of the decision function is close to the decision boundary or the threshold. By making the value of the decision function far from the decision boundary, the proposed method reduces the errors. The experimental results show that the proposed method outperforms the JB and 2D-JB methods by more than 1% in the challenging LFW DB. Many state-of-the-art methods required tons of training data to improve 1% in the LFW DB, but the proposed method can make it in an easy way.

• 한국사회복지학회:학술대회논문집
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• 2001.04a
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• pp.277-283
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• 2001