• 대한간호학회지
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• 제34권3호
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• pp.389-399
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• 2004

Purpose: The purpose of this study was to illustrate the main stream of postmodernism which has influenced theory and research in the nursing science, and then to consider the meaning and value of what the postmodern perspective has meant to nursing science in the 21st century. Method: Derrida and Foucaults philosophical thoughts that characterized postmodernism through the interpretation of their major literature was studied. Based on their philosophy, it was shownhow Derrida's idea could be applied in de constructing the core paradigm in modern nursing science. In terms of Foucault's post-structuralism, reinterpretation of the nursing science in relation to power/knowledge was completed. Result: Postmodernism created multiple and diverse paradigms of nursing theory as well as nursing research. This was accomplished by de constructing the modernism of nursing science which was based on the positivism and medical-cure centralism. Specifically, the post-structuralist perspective revealed issuesaround the relationship of power and knowledge, which dominated and produced modern nursing science. Contemporary nursing science accepts pluralism and needs no unitary meta-paradigm, which can reintegrate multiple and diverse paradigms. Conclusion: In considering the issue of nursing science in postmodernism, it can be summarized as follows: the postmodern thinking discovers and reveals diverse and potential nursing values which were veiled by the domination of western modem nursing science. These were motivated to create nursing knowledge by conversation in interpersonal relationships, which can contribute to practical utilities for the caring-healing situation.

• 한국CDE학회논문집
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• 제5권2호
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• pp.127-135
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• 2000

Emergent computing paradigms such as genetic algorithms have found increased use in problems in engineering design. These computational tools have been shown to be applicable in the solution of generically difficult design optimization problems characterized by nonconvexities in the design space and the presence of discrete and integer design variables. Another aspect of these computational paradigms that have been lumped under the bread subject category of soft computing, is the domain of artificial intelligence, knowledge-based expert system, and machine learning. The paper explores a machine learning paradigm referred to as teaming classifier systems to construct the high-quality global function approximations between the design variables and a response function for subsequent use in design optimization. A classifier system is a machine teaming system which learns syntactically simple string rules, called classifiers for guiding the system's performance in an arbitrary environment. The capability of a learning classifier system facilitates the adaptive selection of the optimal number of training data according to the noise and multimodality in the design space of interest. The present study used the polynomial based response surface as global function approximation tools and showed its effectiveness in the improvement on the approximation performance.

• 한국의류학회지
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• 제41권3호
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• pp.556-574
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• 2017

This study explored the appearance management experiences of breast cancer patients undergoing mastectomy. For data collection, one-on-one interviews were held with 18 Korean females diagnosed with breast cancer from the first stage to the third stage from 2008 to 2015. The data was analyzed through a three-step analysis of grounded theory. QSR NVivo 11.0 for Mac was applied in order to avoid biased results according to the subjective viewpoint of researchers. From open coding results, six paradigms and 15 categories were drawn. The results of axial coding showed that the psychological changes category was the central phenomenon. Additionally, three categories (skin changes, scalp/hair changes, and general reactions) were found to be causal conditions, and five paradigms (clothing behavior, skin care behavior, makeup behavior, scalp/hair-care behavior, and shopping behavior) were found to be action/interaction strategies. Last, selective coding integrated fragmented qualitative data through open coding and axial coding in order to derive explanatory narratives. A comprehensive examination of the appearance management behaviors of breast cancer patients suffering from extreme stress due to physical/psychological changes enables this study to provide a foundation for related studies to be activated in the clothing and textiles discipline.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권12호
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• pp.5464-5484
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• 2016

Few samples face recognition has become a highly challenging task due to the limitation of available labeled samples. As two popular paradigms in face image representation, sparse component analysis is highly robust while parts-based paradigm is particularly flexible. In this paper, we propose a probabilistic generative model to incorporate the strengths of the two paradigms for face representation. This model finds a common spatial partition for given images and simultaneously learns a sparse component analysis model for each part of the partition. The two procedures are built into a probabilistic generative model. Then we derive the score function (i.e. feature mapping) from the generative score space. A similarity measure is defined over the derived score function for few samples face recognition. This model is driven by data and specifically good at representing face images. The derived generative score function and similarity measure encode information hidden in the data distribution. To validate the effectiveness of the proposed method, we perform few samples face recognition on two face datasets. The results show its advantages.

• 디지털융복합연구
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• 제8권4호
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• pp.47-57
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• 2010

본 연구의 목적은 광주지역에서 신재생에너지 산업의 인력양성방안에 대한 효과적인 정책적 대안을 제시하고자 하였다. 오늘날 우리나라의 경제는 새로운 발전모형을 찾아야 하는 사회 경제발전의 패러다임의 변화를 맞이하고 있다. 이러한 흐름에 부응하여 본 논문은 광주지역이 녹색성장인력양성이라는 목적 달성을 위해 가장 적합한 지역이라는 것을 제시하였다. 첫째, 신재생에너지산업을 활성화하기 위해 천혜의 자연환경을 갖추었다는 것이다. 둘째, 새로운 산업을 추동하기위해 우수한 인적자원을 보유하고 있다는 것이다. 따라서, 신재생에너지산업을 활성화하기 위한 장 단기적인 다양한 인력 양성정책을 추진할 필요가 있다.

• 정보처리학회논문지A
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• 제13A권2호
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• pp.157-162
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• 2006

최근의 고성능 컴퓨팅 플랫폼들은 공유 메모리 다중 프로세서(SMP: Shared Memory Multiprocessor) 시스템, 대규모 병렬 프로세서 (Massively Parallel Processor) 시스템, 여러 개의 컴퓨팅 노드들을 연결한 클러스터(Cluster) 시스템 등으로 분류된다. 이러한 고성능 컴퓨팅 시스템들은 높은 수준의 컴퓨팅 성능을 요구하는 과학 기술용 응용 프로그램들을 위하여 사용된다. 이러한 응용 프로그램들의 실행시 최적의 성능을 얻기 위해서는 적절한 컴퓨팅 플랫폼과 프로그래밍 방식의 선택이 중요하다. 본 연구 논문에서는 여러 방식의 병렬 프로그래밍 모델을 사용하여 개발된 SPEC HPC2002 벤치마크 suite을 위한 최적의 컴퓨팅 플랫폼과 프로그래밍 모델을 그들의 성능 분석 및 평가 작업을 통하여 찾아간다.

• 한국IT서비스학회지
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• 제6권1호
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• pp.101-126
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• 2007

This study aims to construct the integrative performance evaluation model of informatization programs. In order to achieve the purpose of research, first of all, the three major theoretical paradigms (technical/functional, economic/financial, and interpretive/alternative paradigms) are comparatively analyzed concerning their philosophical and methodological perspectives. Also, a number of important studies and research model in the area of IS (Information Systems) evaluation are critically reviewed. And then actual problems and limitations on the process of implementing IS performance evaluation are sought through investigating domestic and foreign practices. Based upon theoretical and practical review of informatization evaluation and logical reasoning, the components of ideal performance evaluation scheme for informatization program are derived, and the integrative performance evaluation model which can comprehensively represent the relationship among the components is conceptually proposed. For researchers, this study provides the theoretical basis for reasonably deriving the performance variables of informatization programs and empirically validating the performance of managing informatization programs. And in real world, the results of this study are very likely to contribute to presenting the practical guideline for desirably implementing performance evaluation of informatization programs.

• 대한건축학회논문집:계획계
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• 제34권4호
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• pp.87-94
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• 2018

The purpose of this study is to analyze the characteristics of planning community facilities of public rental apartments by basic and qualitative factors for the last ten years from the year of 2000. This study analyzed the processes and trends of change of the following: land use, tenant satisfaction with the residential environmental amenities, the quantitative increase in accordance with social paradigms, improvement in the quality of residential life, and acceptance of the needs of residents. Therefore, this study will suggest effective and archivable improvements in them. Methods of this study include drawing analyses, literature surveys, and interviews with experts. This study aims to provide essential primary data for planning community facilities for public rental apartments in order to differentiate them from public sales apartments. In the results, community facilities of public rental apartments have been increasing in their size and in the number of their programs as well. It is certain that community facilities are important influence on improving residential environments and the quality of the life. Based on this study, it is more effective to plan community facilities to be connected or extended to other external spaces. And tenant satisfaction should be carried out and put into consideration to help determine if community facilities are adequate. Space compositions should be designed to be flexible per social paradigms and customers needs.

• World Technopolis Review
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• 제4권1호
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• pp.11-22
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• 2015

Globalization, increasing technological advancements and dynamic knowledge diffusion are moving our world closer together at a unique scale and pace. At the same time, our rapidly changing society is confronted with major challenges ranging from demographic to economic ones; challenges that necessitate highly innovative solutions, forcing us to reconsider the way that we actually innovate and create shared value. As such the linear, centralized innovation models of the past need to be replaced with new approaches; approaches that are based upon an open and collaborative, global network perspective where all innovation actors strategically network and collaborate, openly distribute their ideas and co-innovate/co-create in a global context utilizing our society's full innovation potential (Innovation 4.0 - Open Innovation 2.0). These emerging innovation paradigms create "an opportunity for a new entrepreneurial renaissance which can drive a Cambrian like explosion of sustainable wealth creation" (Curley 2013). Thus, in order to materialize this entrepreneurial renaissance, it is critical not only to value but also to actively employ this new innovation paradigms so as to derive community-driven shared value that stems from global innovation networks. This paper argues that there is a gap in existing business incubation model that needs to be filled, in that the innovation and entrepreneurship community cannot afford to ignore the emerging innovation paradigms and rely upon closed incubation models but has to adopt an "open incubation" (Ziouvelou 2013). The open incubation model is based on the principles of open innovation, crowdsourcing and co-creation of shared value and enables individual users and innovation stakeholders to strategically network, find collaborators and partners, co-create ideas and prototypes, share their ideas/prototypes and utilize the wisdom of the crowd to assess the value of these project ideas/prototypes, while at the same time find connections/partners, business and technical information, knowledge on start-up related topics, online tools, online content, open data and open educational material and most importantly access to capital and crowd-funding. By introducing a new incubation phase, namely the "interest phase", open incubation bridges the gap between entrepreneurial need and action and addresses the wantpreneurial needs during the innovation conception phase. In this context one such ecosystem that aligns fully with the open incubation model and theoretical approach, is the VOICE ecosystem. VOICE is an international, community-driven innovation and entrepreneurship ecosystem based on open innovation, crowdsourcing and co-creation principles that has no physical location as opposed to traditional business incubators. VOICE aims to tap into the collective intelligence of the crowd and turn their entrepreneurial interest or need into a collaborative project that will result into a prototype and to a successful "crowd-venture".

• 한국사회복지학
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• 제56권3호
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• pp.253-277
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• 2004

1990년대에 들어서면서 유럽 각국에서는 기존의 빈곤 패러다임을 대체하는 '사회적 배제(social exclusion)'라는 새로운 개념을 사용하여 빈곤과 불평등에 관한 새로운 접근법을 제시하고 있다. 이에 관해서 실버(H. Silver, 1994)는 사회적 배제의 세 가지 패러다임(공화주의, 자유주의, 그리고 사민주의)을 제시하면서, 한 사회가 기반하고 있는 철학에 따라서 사회적 배제에 대한 인식과 상황이 달라진다는 것을 논구하고 있다. 이러한 점에서 본 연구는 사회적 배제에 대한 인식과 전략에서 각각 세 가지 패러다임을 대표하고 있는 프랑스, 영국, 스웨덴의 경우 실제 사회적 배제 상황에서도 차이를 보이는지를 살펴볼 목적으로 작성되었다. 이러한 목적을 달성하기 위하여 본 논문은 사회적 배제에 대한 "(이론적) 개념화$\rightarrow$(국가별) 유형화$\rightarrow$(측정) 지표화"의 세 가지 단계를 거치면서 연구대상 국가별로 사회적 배제의 상황이 통계적으로 유의미한 수준에서 차이를 보이는지를 살펴본다. 또한 이를 기초로 정직한 유의차(Honestly Significant Difference: HSD) 기법을 사용하여 사회적 배제 지표별로 연구대상 국가간에 어떠한 짝짓기가 가능한가를 살펴봄으로써, 이념적 기반에 따라서 다른 사회적 배제 상황을 보이고 있다는 사실을 밝히고 있다. 이러한 점에서 본 연구는 실버(1994)의 세 가지 패러다임을 실증적으로 입증하여 그의 주장을 보완하는 의미를 가지는 한편으로, 실제적으로 한 사회가 기반하고 있는 철학적인 배경의 차이가 구체적인 사회적 현상(여기서는 사회적 배제)의 차이를 가져오는 지 여부에 대한 보다 포괄적이고 보편적인 논의를 가능하게 하는 의미를 아울러 가지고 있다고 할 수 있다.