• Structural Engineering and Mechanics
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• 제77권3호
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• pp.355-368
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• 2021

The time-varying mean (TVM) component of non-stationary wind speeds is commonly extracted utilizing empirical mode decomposition (EMD) in practice, whereas the accuracy of the extracted TVM is difficult to be quantified. To deal with this problem, this paper proposes an approach to identify and extract the optimal TVM from several TVM results obtained by the EMD. It is suggested that the optimal TVM of a 10-min time history of wind speeds should meet both the following conditions: (1) the probability density function (PDF) of fluctuating wind component agrees well with the modified Gaussian function (MGF). At this stage, a coefficient p is newly defined as an evaluation index to quantify the correlation between PDF and MGF. The smaller the p is, the better the derived TVM is; (2) the number of local maxima of obtained optimal TVM within a 10-min time interval is less than 6. The proposed approach is validated by a numerical example, and it is also adopted to extract the optimal TVM from the field measurement records of wind speeds collected during a sandstorm event.

• 산업경영시스템학회지
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• 제46권spc호
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• pp.79-88
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• 2023

This research aims to validate the effectiveness of the "Specialized Entrepreneurship University Program," which was conducted as part of government entrepreneurship support initiatives from 2018 to 2022. Based on previous studies, a research model was derived consisting of three laboratory entrepreneurship support factors that influence program satisfaction and entrepreneurial outcomes (infrastructure support, educational mentoring support, and business linkage support). Surveys were collected and analyzed from 126 laboratory entrepreneurship firms participating in the program, and empirical analysis of the research model was conducted using SPSS 23.0 statistical software. The analysis results indicated that the three variables, namely infrastructure support, educational mentoring support, and business linkage support, were significant factors affecting program satisfaction, and program satisfaction was confirmed to influence entrepreneurial outcomes. Furthermore, it was found that the three business operation factors indirectly influenced entrepreneurial outcomes by partially mediating program satisfaction. This study is considered significant as an empirical study for the initial stage of the second-phase program enhancement, verifying the effectiveness of laboratory entrepreneurship support factors. The findings can be applied to similar government entrepreneurship support initiatives and contribute to the effective strategy and planning of stakeholders involved. The limitations of this study include the need for further research on the perception of the extent to which it contributes to entrepreneurial outcomes, emphasizing caution in interpreting the research model, and the necessity for expanding the survey population and improving survey items in future research.

• 지식경영연구
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• 제10권4호
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• pp.17-30
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• 2009

This study is concerned with suggesting a new clustering algorithm to evaluate the value of papers which were supported by research grants by Korea Research Fund (KRF). The algorithm is based on an extended version of a conventional PSO (Particle Swarm Optimization) mechanism. In other words, the proposed algorithm is based on integration of k-means algorithm and simulated annealing mechanism, named KASA-PSO. To evaluate the robustness of KASA-PSO, its clustering results are evaluated by research grants experts working at KRF. Empirical results revealed that the proposed KASA-PSO clustering method shows improved results than conventional clustering method.

• Ocean and Polar Research
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• 제44권4호
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• pp.339-353
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• 2022

The purpose of this research is to conduct an empirical analysis regarding Korea's 'Marine Protected Areas (MPA)' from an international comparative perspective. The authors would like to present the policy direction of marine protected areas based on the result of the research. The result of this study can be summarized in the following manner: First, the total designated size of marine protected areas in Korea is very small compared to the sizes of other OECD nations . Second, while some nations have expanded the extent of marine protected areas in accordance with international agreements and criteria, Korea has not done so. Accordingly, we propose the designated dimensions of marine protected areas should be constantly expanded to keep pace with international trends.

• Composites Research
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• 제35권3호
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• pp.182-187
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• 2022

본 논문은 다층 PCB에 사용되는 프리프레그의 물성을 파악하여 제시한 두께 실험식을 통해 PCB의 두께를 예측하기 위한 연구를 수행하였다. 프리프레그는 물성과 동박 잔존율에 의해서 PCB 제작시 두께가 감소하기 때문에 두께 실험식을 통한 정확한 PCB의 두께 예측이 필요하다. 두께 실험식에 사용되는 프리프레그의 밀도를 파악하기 위해 질량 및 두께를 측정하여 밀도를 도출하였다. 이후 CCL을 제작하기 위해 프리프레그와 동박을 적층하여 핫 프레스기를 사용하였고 광학현미경과 마이크로미터를 사용하여 두께를 측정하였다. 또한 동박 잔존율에 따른 두께 변화를 측정하기 위해 회로밀도를 다르게 구성하여 8층 PCB를 설계하였고 두께 측정 결과와 두께 실험식으로 도출된 두께를 비교하여 두께 실험식을 검증하였다. 비교 결과 CCL의 경우 2.56%, 다층 PCB의 경우 4.48%의 오차를 보였고 이를 통해 두께실험식의 신뢰성을 확인하였다.

• 한국경영과학회지
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• 제27권4호
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• pp.87-109
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• 2002

A satisfiability problem in propositional logic is the problem of checking for the existence of a set of truth values of atomic prepositions that renders an input propositional formula true. This paper describes an empirical investigation of a particular integer programming approach, using the set covering model, to solve satisfiability problems. Our satisfiability engine, SETSAT, is a fully integrated, linear programming based, branch and bound method using various symbolic routines for the reduction of the logic formulas. SETSAT has been implemented in the integer programming shell MINTO which, in turn, uses the CPLEX linear programming system. The logic processing routines were written in C and integrated into the MINTO functions. The experiments were conducted on a benchmark set of satisfiability problems that were compiled at the University of Ulm in Germany. The computational results indicate that our approach is competitive with the state of the art.

• 벤처창업연구
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• 제3권1호
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• pp.1-28
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• 2008

본 연구는 산업별 국내 벤처기업의 경영성과와 R&D 투자와의 상관관계에 대해 실증분석하고, 이를 통해 벤처기업의 경영성과와 R&D 투자와의 관계에 대한 일반 가설뿐만 아니라 산업별로 차이가 존재한다는 사실을 밝히고자 산업별 실증분석을 시도하였다. 이에 본 연구에서는 과학기술부의 "과학기술연구개발활동조사보고서"의 조사결과로 추출된 $2002{\sim}2006$년간의 패널데이터를 대상으로 8개 산업별 실증분석을 하였다. 산업분류는 패널 수의 제한 등으로 국가과학기술표준분류 체계(KSIC) 상 중분류(2-digit)까지로 제한하였다. 본 연구는 기존 연구에서의 연구개발활동 및 연구개발비 지출은 기업의 가치 내지는 생산성, 경영성과에 대체로 긍정적인 영향을 미치는 사실을 확인할 수 있었을 뿐만 아니라 기존 연구에서 부족했던 개별 산업별, 기업 규모별 차이 또한 증명하였다는 점에서 큰 특징이 있다. 더욱이 기존 연구에서는 볼 수 없었던 5년간의 일관성 있는 패널데이터를 분석에 이용하여, 지속적으로 연구개발활동과 경영활동이 이뤄지는 기업을 대상으로 연구를 수행함으로써 연구결과의 신뢰성을 높였다. 마지막으로 IMF 경제위기 이후 2002년부터 2006년까지 최근 데이터를 실증분석에 사용함으로써, IMF 이전의 선진국 추격형이 아닌 선진국 진입 단계에 있는 현상의 문제점들을 실증분석을 통해 제시하였다는데 큰 특징이 있다. 주요 실증분석 결과는 다음과 같다. 첫째, 자본금과 노동자 규모는 전체기업과 벤처기업의 경영성과와 양(+)의 상관관계를 가지는 것으로 나타났으며, 이는 분석 대상 8개 산업 모두에 적용된다 둘째, 기업의 설립년수는 특정 산업에 있어서는 전체기업과 벤처기업의 경영성과와 양(+) 또는 음(-)의 상관관계를 가지나, 전반적인 경향에 대해서는 판단하기 어렵다. 셋째, R&D 투자는 전반적으로 기업 경영성과에 긍정정인(+) 영향을 준다고 할 수 있다 넷째, 연구원 수는 전체기업 또는 벤처기업의 경영성과에 한 방향으로 영향을 미치는 요인이라 할 수 없다. 다섯째, 연구개발 노하우의 축적 등을 통해 기업의 경영성과에 긍정적인 영향을 미칠 것으로 가정되었던 연구소의 설립년수 또한 기업 경영성과에 긍정적인 요인으로 작용한다는 것이 전반적인 사실이라고 논할 수 없다.

• Journal of the Korean Data and Information Science Society
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• 제18권2호
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• pp.401-409
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• 2007

This paper addresses a performance evaluation model for ERP system's implementation using Analytic Network Process (ANP) technique. In this study, the performance variables are identified as the perspectives of cost, business process, systems operation, and change management, respectively. The empirical study also investigated factors that affect the performance variables to find out the causal relationship between them using the ANP approach. The data for the empirical analysis were collected from manufacturing companies that have implemented ERP systems. The research findings indicate the proposed model is powerful in proposing that the indirect relationship between influencing factors and managerial effectiveness, mediated by employee satisfaction, is an important one.

• Asia Marketing Journal
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• 제14권4호
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• pp.117-142
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• 2013

Brand orientation is a relatively new paradigm in marketing which was first introduced in the 1990s. Since then, an accumulating body of research has addressed the strategic importance of brand orientation. Although there is a growing body of literature on brand orientation, there have been no empirical studies examining the mediation effect of brand orientation on market orientation-performance relationship to date. Moreover, most studies on brand orientation have been carried out in the context of large enterprises. Hence, the aim of this research is to extend the literature and address market orientation, brand orientation, and firm performance against the backdrop of Korean SMEs. The authors empirically investigate the impact of market/brand orientation on organizational performance and the mediating role of brand orientation. They utilize 178 usable responses to test the four research hypotheses. The hypothesized model predicts that there is a positive association among market orientation, brand orientation, and firm performance. It is also expected that brand orientation mediates the relationship between market orientation and organizational performance. The statistical results based on PLS analysis confirm our prediction among the constructs in the research model. The empirical evidence provides significant theoretical and managerial implications for brand orientation among SMEs. The first theoretical implication is that we provide empirical evidence regarding the important role of brand orientation in explaining the multi-trait perspectives of strategic orientation. The second theoretical implication is that the concept of brand orientation can be empirically validated in the context of SMEs. In terms of managerial implications, managers of SMEs should attempt to build a brand-oriented corporate culture or mindset that places brand values and brand norms as the top priority among their company's tasks. In addition, managers should recognize that brand orientation is critical for SMEs as well as large enterprises. In the last section, the authors address limitations of the study and provide directions for further research.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 1998년도 가을 학술발표회 논문집
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• pp.439-446
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• 1998

One of the most important roles in the nonlinear dynamic structural analysis is to select a proper ground excitation, which dominates the response of a structure. Because of the lack of recorded accelerograms in Korea, a stochastic model of ground excitation with various dynamic properties rather than recorded accelerograms is necessarily required. If all information is not available at site, the information from other sites with similar features can be used by the procedure of seismic hazard analysis. Eliopoulos and Wen identified the parameters of the ground motion model by the empirical relations or expressions developed by Trifunac and Lee. Because the relations used in the parameter identification are largely empirical, it is required to apply the artificial neural networks instead of the empirical model. Additionally, neural networks have the advantage of the empirical model that it can continuously re-train the new recorded data, so that it can adapt to the change of the enormous data. Based on the redefined traditional processes, three neural-networks-based models (FAS_NN, PSD_NN and INT_NN) are proposed to individually substitute the Fourier amplitude spectrum, the parameter identification of power spectral density function and intensity function. The paper describes the first half of the research for the development of Neural-Networks-based model for the generation of an Artificial earthquake and a Response Spectrum(NNARS).