• International Journal of Control, Automation, and Systems
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• 제1권3호
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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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• 제6권4호
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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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• 제27권4호
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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.

• 복식문화연구
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• 제28권2호
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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.

• 동의생리병리학회지
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• 제24권5호
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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.

• 한국게임학회 논문지
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• 제21권2호
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• pp.111-122
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• 2021

MMORPG 게임은 COVID-19 사태를 통하여 더욱 빠르게 성장하고 있는 산업이다. 이에 본 연구는 MMORPG 게임의 자아-캐릭터 동일시와 사회적 관계의 내재화에 미치는 영향 요인을 확인하고, 이를 통하여 게임 아이템 유료 구매와 게임 지속의도의 마케팅 성과에 미치는 영향을 확인하였다. 자아동일시와 내재화는 게임 몰입에 영향을 미치는 핵심 요인으로 알려져 있다. PLS 분석 결과에 따르면, MMORPG의 캐릭터 특성과 사회적 특성이 자아-캐릭터 동일시와 관계 내재화에 미치는 영향은 유의하게 확인되었다. 또한 이들 변수들을 매개로 게임 기업의 마케팅 성과에 미치는 긍정적인 영향을 확인하였다. 본 연구의 결과는 향후 MMORPG 캐릭터 연구의 중요성을 제시하였으며, MMORPG 게임 기업의 경쟁력 향상에 활용될 수 있을 것이다.

• 한국산학기술학회논문지
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• 제15권5호
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• pp.2758-2768
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• 2014

과업 및 관계갈등의 차별적 효과에 대한 연구에 따르면, 과업갈등이 혁신적 성과에 긍정적 영향을 주는 반면, 관계갈등이 혁신적 성과에 부정적 영향을 준다고 주장하고 있다. 하지만, 과업갈등과 관계갈등 간의 밀접한 상호관련성을 고려해 본다면, 혁신적 성과에 긍정적 영향을 주는 과업갈등은 관계갈등으로 전이되면서, 혁신적 성과에 부정적 영향을 줄 수 있다. 따라서 과업갈등이 관계갈등으로 전이되는 것을 약화시키는 경영관리 방식이 필요하며, 개인이 보유한 사회 정체성이고, 팀에 대한 감정적 인지적 유대인 팀 정체화는 효과적인 갈등관리 방안일 수 있다. 본 연구는 213명의 종업원들을 통해 수집한 자료를 토대로, 이러한 논리가 기업현장에서 실제로 성립되고 있음을 확인할 수 있었다. 연구결과를 토대로 연구의 시사점과 향후 연구방향을 제시하였다.

• 대한간호
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• 제19권4호통권107호
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• pp.73-77
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• 1980

• International Journal of Control, Automation, and Systems
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• 제5권5호
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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.

• 한국산학기술학회논문지
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• 제13권2호
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• pp.583-596
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• 2012

교수의 변혁적 리더십과 관련된 선행연구들은 주로 학생 차원의 성과에 초점을 두고 있어 학과와 학교차원에 미치는 영향을 소홀히 하는 경향이 있다. 따라서 본 연구는 교수의 변혁적 리더십이 학생과 학과 및 학교에 어떤 영향을 미치는지를 검증하였다. 학생차원의 성과는 학습몰입을, 학과차원의 성과는 학생의 학과동일시를 학교차원의 성과로 학생의 학교를 위한 조직시민행동을 사용하였다. 선행연구들에 의하면 변혁적 리더십은 조직시민행동과 직간접적인 관계가 있다고 함으로 본 연구에서도 학습몰입과 학과동일시를 매개변인으로 사용하여 간접적인 관계도 검증하였다. 연구결과 변혁적 리더십은 학습몰입, 학과동일시 및 학교를 위한 시민행동에 직접적인 영향을 주는 것으로 나타났다. 또한 학과동일시는 학교를 위한 시민행동에 유의한 영향을 주나 학습몰입과 시민행동 간의 긍정적인 관계는 확인하지 못하였다. 학과동일시는 변혁적 리더십과 조직시민행동 간에 매개변인의 역할을 하는 것으로 나타났다. 따라서 교수의 변혁적 리더십이 직접적으로나 간접적으로 학생과 학과 및 학교에 유의한 긍정적인 영향을 미치는 것을 확인하였다.