• The KIPS Transactions:PartC
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• v.8C no.1
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• pp.68-74
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• 2001

This paper mentions a centralized approach based on SNMP protocol and distributed approach based on mobile agent in network management s system. And it presents a few Quantitative models for systematically evaluating those two different approaches. To do this, we propose model m that is applicable under a uniform network environment, and compare network execution times of each paradigms based on parameters from s simulation. The model is then refined to take into account non-uniform networks. We show that it can reduce overall network execution times b by determining the best interaction patterns to perfo$\pi$n network management operations from this model. We believe that the model proposed h here should help us to decide appropriate paradigms and interaction patterns for developing network management applications.

• Journal of Korean Academy of Nursing
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• v.34 no.3
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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.

• Korean Journal of Computational Design and Engineering
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• v.5 no.2
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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.

• Journal of the Korean Society of Clothing and Textiles
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• v.41 no.3
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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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• v.10 no.12
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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.

• Journal of Digital Convergence
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• v.8 no.4
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• pp.47-57
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• 2010

The purpose of this study is to suggest the effective alternative plan of the human resource training in the new reproduction energy industry, here in Gwang-Ju area. Nowadays, we, Korea is confronted with great changing moment to reform the developmental model in social situation & economical paradigms. Based on the aspect, the study showed that how suitable place to carry out the aims in Gwangju area ; first, the good equipped natural environment for activating is apt to build the new reproduction energy industry. And next, the good skilled human resource training is to get into the newly industry. According, the various policy of educating manpower for activating new reproduction energy industry need to be driven in short and long term.

• The KIPS Transactions:PartA
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• v.13A no.2 s.99
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• pp.157-162
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• 2006

Recent High Performance Computing (HPC) platforms can be classified as Shared-Memory Multiprocessors (SMP), Massively Parallel Processors (MPP), and Clusters of computing nodes. These platforms are deployed in many scientific and engineering applications which require very high demand on computing power. In order to realize an optimal performance for these applications, it is crucial to find and use the suitable computing platforms and programming paradigms. In this paper, we use SPEC HPC 2002 benchmark suite developed in various parallel programming models (MPI, OpenMP, and hybrid of MPI/OpenMP) to find an optimal computing environments and programming paradigms for them through their performance analyses.

• Journal of Information Technology Services
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• v.6 no.1
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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.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.34 no.4
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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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• v.4 no.1
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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".