• Journal of the Korean Society of Clothing and Textiles
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• v.13 no.2 s.30
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• pp.166-179
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• 1989

This study was undertaken to discuss the frameworks of the gorgeous and magnificent royal procession ceremonies in the Yi Dynasty, thereby exploring the classification systems of 'three stages and five segments' on the basis of cultural anthropology and Korean traditional shamanism of ancestral sacrifices. The ceremonies were classified into three phases of (1) cleanup stage, (2) primary objective attendance stage, and (3) completing stage. Among these phases, p. :mary objective attendance stage was further distributed into five segments of (1) road guide, (2) dressing, (3) royal procession, (4) attendants' procession, and (5) back row procession. The isolates and functions of the royal procession ceremonies in the Yi Dynasty were studied through the application of Levi Strauss's structural methodology.

• Journal of Information Technology Services
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• v.12 no.1
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• pp.259-270
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• 2013

Identity authentication sharing technologies which allow many service providers to share the result of identity authentication of an identity provider receive high attention as alternatives for current problematic identity authentications in the next-generation Internet environment, since they can provide crucial advantages including high usability, cost effectiveness of service providers, and privacy protection. However, in order for the identity authentication sharing technologies to be widely deployed in global Internet scale, the interoperability problem among different identity authentication sharing protocols and the trustworthiness issue among the participating identity providers, service providers, and users should be resolved in advance. This paper firstly analyzes current status of the protocol interoperability issue and existing trust frameworks for identity authentication sharing. And then, based on the result of analysis, this paper proposes a next generation identity authentication sharing architecture for global Internet.

• International Journal of Quality Innovation
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• v.4 no.1
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• pp.116-130
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• 2003

The gap-based SERVQUAL model is a popular service quality determinant due to its superior diagnostic capacity over alternative explanatory frameworks. However, some researchers criticize the performance of the SERVQUAL model and propose alternative service Quality measurement constructs. Nevertheless, it is argued that the superior diagnostic capacity of SERVQUAL is its key strength; and that any criticism made of it when making comparison with alternative models does not reflect the differing nature of scales of statistical analysis. Arguably, the only limitation of a gap-based model is misinterpretation of customers' evaluation and perception of a service. In this research, the gap score is transformed into a ratio score. Also, empirical tests and implications are presented to support this alternative contribution to the body of knowledge.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.10a
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• pp.214-217
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• 1996

Early decision support systems (DSS) were the "passive" decision support systems in the sense that the systems only able to do what the users explicitly direct them to do. But some researchers such as Raghav Rao et al. [51 showed architectures to suggest general idea of the innovative DSS systems which offer active form of decision support, say, "active Intelligent Decision Support Systems(active IDSS)". The system can perform not only what the users want to do but some voluntary (or involuntary) intelligent works. This paper presents the issues in the design of the active IDSS in the domain of investment evaluation, a domain area where few researchers have suggested frameworks or architectures to discriminate good investment from bad one. We propose a new paradigm, by utilizing historical investment results using neural network and Multivariate Discriminant Analysis(MDA), to identify goodness of investment. A new active IDSS architecture which consists of neural network, expert system and three components of the traditional passive DSS is suggested with some scenario based results.nario based results.

• International Journal of High-Rise Buildings
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• v.5 no.3
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• pp.221-232
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• 2016

With the booming of construction and property industries in China, the demand for high-rises and mega-scale buildings with more integrated building functions, open- and tailor-shaped outlooks, better connections to municipal infrastructures, and higher grades of building importance has been increasing in the past two decades. The seismic design and engineering of such modern mega-buildings face engineering challenges such as hazard mitigation of extreme actions and surroundings, integrated structural frameworks and building skins, complex connections, and overall construction efficiency. It is the work of a new generation of civil and structural engineers to enhance engineering efficiency and achieve overall engineering, environmental, and economical effectiveness for these high-rise projects. This paper elaborates the above topics through case studies on the design and construction of four such developments in China. Some rethinking is conducted on evolution in modern seismic engineering and design through innovation to achieve an acceptable level of overall sustainability and building effectiveness.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.1
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• pp.115-122
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• 2017

Deep learning is artificial intelligence technology that can teach people like themselves who need machine learning. Deep learning has become of the most promising in the development of artificial intelligence to understand the world and detection technology, and Google, Baidu and Facebook is the most developed in advance. In this paper, we discuss the kind of deep learning frameworks, compare and analyze the efficiency of the image and speech recognition field of it.

• Korea journal of population studies
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• v.12 no.1
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• pp.30-42
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• 1989

This study develops a model of migration decision-making process, with identifying macrolevel and microlevel factors affecting the process. The model includes some sequential stages : to be dissatisfied with current residential area, intend to move, collect information about alternative destinations, select destination, decide to move, and make actual migration. The macrolevel factors included in the model are environmental, socioeconomic, cultural, and demographic characteristics of the current residence and alternative destinations. The microlevel factors are psychological, socioeconomic, and demographic characteristics of the individual. The effects of the macrolevel and microlevel factors on each stage of migration decision-making process are identified from the previous studies on migration. This study has both theoretical and practical implications. The theoretical contribution will be in the area of integrating the ecological and the individual level perspectives of migration by identifying the macrolevel and microlevel effects on migration decision-making process. This study also has implications for theoretical frameworks guiding empirical analysis of migration behavior of the individuals, and for policies aimed at redistributing population.

• Asian review of World Histories
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• v.3 no.2
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• pp.171-200
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• 2015

At its simplest, this essay provides a narrative of migration in Asia since the arrival of Homo sapiens some 70,000 years ago. More fully, it presents the case for conducting long-term, world-historical interpretation for Asia with attention to multiple perspectives, which has become increasingly central to global historical analysis. Following an introductory articulation of the benefits of long-term interpretation, the second section presents a balance of three perspectives-empire, exchange, and migration-as frameworks for interpreting the Asian past. The third section presents further detail on migration in long-term Asian history. The concluding section identifies four changes in patterns of migration during the past two centuries and emphasizes the underlying importance of cross-community migration in long-term human biological and social evolution.

• Computers and Concrete
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• v.18 no.6
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• pp.1097-1112
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• 2016

Fire loading causes a critical collapse of RC (Reinforced Concrete) Structures since the embedded steels inside are relative week against high elevated temperature. Several numerical frameworks for fire resistance have been proposed, however they have limitations such as unstable convergence and long calculation period. In the work, 2-D nonlinear FE technique is proposed using Galerkin method for RC structures under fire loading. Closed-form element stiffness with a triangular element is adopted and verified with fire test on three RC slabs with different fire loading conditions. Several simulations are also performed considering fire loading conditions, water contents, and cover depth. The proposed numerical technique can handle time-dependent fire loading, convection, radiation, and material properties. The proposed technique can be improved through early-aged concrete behavior like moisture transport which varies with external temperature.

• Journal of Korean Academy of Nursing Administration
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• v.15 no.3
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• pp.346-354
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• 2009

This article explores the potentials of the application of organization theories to nursing research on health care organizations in Korea. The critical review of the literature reveals that the important topics on organizations in health services research have been also dealt with by nursing researchers. Notwithstanding this theoretical closeness between the two fields, some issues remain: the paucity of attention to 'level issue', which requires to increase the attempts at 'meso-' or 'macro-' analysis on nurses' behavior in organizations; the need for theoretical frameworks specifying organizational factors relating to nursing processes; the necessity of interdisciplinary approaches to bridge the recent developments of organizational study and nursing research. This article finishes with a few of research agendas for future research to fill these gaps.