• International Journal of Control, Automation, and Systems
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• v.1 no.3
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• pp.289-300
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• 2003

In this paper, we introduce an identification method in Fuzzy Relation-based Fuzzy Neural Networks (FRFNN) through a hybrid identification algorithm. The proposed FRFNN modeling implement system structure and parameter identification in the efficient form of "If...., then... " statements, and exploit the theory of system optimization and fuzzy rules. The FRFNN modeling and identification environment realizes parameter identification through a synergistic usage of genetic optimization and complex search method. The hybrid identification algorithm is carried out by combining both genetic optimization and the improved complex method in order to guarantee both global optimization and local convergence. An aggregate objective function with a weighting factor is introduced to achieve a sound balance between approximation and generalization of the model. The proposed model is experimented with using two nonlinear data. The obtained experimental results reveal that the proposed networks exhibit high accuracy and generalization capabilities in comparison to other models.er models.

• Journal of Information Science Theory and Practice
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• v.6 no.4
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• pp.28-38
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• 2018

Wikipedia is composed of millions of articles, each of which explains a particular entity with various languages in the real world. Since the articles are contributed and edited by a large population of diverse experts with no specific authority, Wikipedia can be seen as a naturally occurring body of human knowledge. In this paper, we propose a method to automatically identify key entities and relations in Wikipedia articles, which can be used for automatic ontology construction. Compared to previous approaches to entity and relation extraction and/or identification from text, our goal is to capture naturally occurring entities and relations from Wikipedia while minimizing artificiality often introduced at the stages of constructing training and testing data. The titles of the articles and anchored phrases in their text are regarded as entities, and their types are automatically classified with minimal training. We attempt to automatically detect and identify possible relations among the entities based on clustering without training data, as opposed to the relation extraction approach that focuses on improvement of accuracy in selecting one of the several target relations for a given pair of entities. While the relation extraction approach with supervised learning requires a significant amount of annotation efforts for a predefined set of relations, our approach attempts to discover relations as they occur naturally. Unlike other unsupervised relation identification work where evaluation of automatically identified relations is done with the correct relations determined a priori by human judges, we attempted to evaluate appropriateness of the naturally occurring clusters of relations involving person-artifact and person-organization entities and their relation names.

• Structural Engineering and Mechanics
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• v.27 no.4
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• pp.409-424
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• 2007

In this paper, an identification method of impact force is proposed for composite structures. In this method, the relation between force histories and strain responses is first formulated. The transfer matrix, which relates the strain responses of sensors and impact force information, is constructed from the finite element method (FEM). Based on this relation, an optimization model to minimize the difference between the measured strain responses and numerically evaluated strain responses is built up to obtain the impact force history. The identification of force history is performed by a modified least-squares method that imposes the penalty on the first-order derivative of the force history. Moreover, from the relation of strain responses and force history, an error vector indicating the force location is defined and used for the force location identification. The above theory has also been extended into the cases when using acceleration information instead of strain information. The validity of the present method has been verified through two experimental examples. The obtained results demonstrate that the present approach works very well, even when the internal damages in composites happen due to impact events. Moreover, this method can be used for the real-time health monitoring of composite structures.

• The Research Journal of the Costume Culture
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• v.28 no.2
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• pp.147-165
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• 2020

To identify the antecedents of repurchasing intention toward fast fashion brands, this study was conducted to examine brand authenticity and brand identification as both direct and indirect antecedents of repurchasing intention through fast fashion brand love. Through convenience sampling, 266 university students in Seoul metropolitan area completed a questionnaire survey. Data were analyzed using SPSS for exploratory factor analysis, and AMOS was used for confirmatory factor analysis and path analysis. Factor analysis revealed the following: for brand authenticity, four dimensions('originality,' 'reliability,' 'continuity,' and 'naturalness') were revealed; for both consumer brand identification and repurchase intention one dimension was revealed; and for brand love two dimensions were revealed('passion' and 'affection'). Path analysis confirmed that 'reliability' and 'naturalness'in relation to brand authenticity indirectly influenced repurchase intention through 'passion'(as a factor of brand love) and directly influenced repurchase intention. Further, 'continuity' in relation to brand authenticity indirectly influenced repurchase intention through 'affection'(as a factor of brand love) and directly influenced repurchase intention. Consumer brand identification influenced repurchase intention indirectly through two factors of brand love. These results suggest that fast fashion brand marketers should implement effective strategies that consider consumers'perceptions of brand authenticity, consumer brand identification, and brand love.

• Journal of Physiology & Pathology in Korean Medicine
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• v.24 no.5
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• pp.883-891
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• 2010

The purpose of this study was to investigate the relation between each pattern identification such as Dampness-Phlegm, Fire-Heat, Deficiency of Qi, Deficiency of Yin and Blood Stagnation and blood lipid level in acute stroke patients. This study was done over patients hospitalized in 13 Oriental Medical Hospitals in the period of November 2006 to Jun 2009. Patients had been interviewed by residents and medical specialists who studied standard operation procedures in Fundamental Study for Syndrome of Oriental Medicine for Stroke. Study subjects consisted of group A that was distributed to specified pattern identification by medical specialist and discriminating program, group B that was distributed to specified pattern identification by medical specialist or discriminating program, and the control group that wasn't distributed to specified pattern identification by medical specialist and discriminating program. For the purpose of obtaining suitable result, we analyzed blood lipid level of each group by univariate analysis. In this study, there was not statistically significant relation between most of each pattern identification and blood lipid level except relation between Fire-Heat pattern group B and decreasing HDL cholesterol. Based on these results, it is suggested that Dampness-Phlegm would not be the independent predictors of hyperlipidemia unlike other studies that were presented in. More prospective studies between Fire-Heat and decreasing HDL cholesterol are to be done with more clinical data.

• Journal of Korea Game Society
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• v.21 no.2
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• pp.111-122
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• 2021

MMORPG game is an industry that is growing fast through COVID-19. This study confirmed the factors that influence the self-character identification and social relation internalization of MMORPG games and identified the factors that affect the intention to purchase items and the intention to continue play. According to the PLS analysis, the influence of the character characteristics and social characteristics of MMORPG on self-character identification and game commitment was significantly confirmed. In addition, the relationships between these mediating variables and user behavior were tested. The results of this study suggested the importance of researching MMORPGs' game characters and could be used to improve the competitiveness of MMORPG game companies.

• The Korean Nurse
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• v.19 no.4 s.107
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• pp.73-77
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• 1980

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.5
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• pp.2758-2768
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• 2014

A research on differential effects of task and relationship conflicts claims positive effects of task conflict on innovation performance and negative effects of relation conflict on innovation performance. Yet, given the intimate interconnectedness of task conflict and relation conflict, task conflict, which has a beneficial impact on innovation performance, may have adverse effects on innovation performance as it goes through the process of being transferred to relation conflict. That necessitates the need for a way of management that can undermine the process of transference of task conflict to relation conflict, and team identification, which is a social identity of an individual and also a sort of positive, affective or cognitive bonds of such individual toward the team, can be an effective way of managing conflict. The research, which was conducted based on materials collected from 213 employees, confirms that such theory holds true for the real-life business environment. Based on the findings, this study suggested implications and directions for future research.

• International Journal of Control, Automation, and Systems
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• v.5 no.5
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• pp.508-514
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• 2007

Properties and potential applications of the block pulse response circulant matrix (PRCM) and its singular value decomposition (SVD) are investigated in relation to MIMO control and identification. The SVD of the PRCM is found to provide complete directional as well as frequency decomposition of a MIMO system in a real matrix form. Three examples were considered: design of MIMO FIR controller, design of robust reduced-order model predictive controller, and input design for MIMO identification. The examples manifested the effectiveness and usefulness of the PRCM in the design of MIMO control and identification. irculant matrix, SVD, MIMO control, identification.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.2
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• pp.583-596
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• 2012

The researchers of the organizational behavior have been interested in the performances of transformational leadership in various environments and cultures. In this study, data were collected to find out the effects of professors' transformational leadership on students’ departmental identification, study engagement and organizational citizenship behavior to school. This study also tested indirect effect between transformational leadership and organizational citizenship behavior via departmental identification and study engagement. The results indicated significant direct relation between professors' transformational leadership and departmental identification, study engagement and citizenship behavior to school. But direct relation between study engagement and citizenship behavior was not found. Departmental identification was found as a mediator between transformational leadership and citizenship behavior. This study suggests that professors' transformational leadership is quite necessary for school, department and student.