• 국제초고층학회논문집
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• 제6권3호
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• pp.279-284
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• 2017

The purpose of structural health monitoring is to evaluate structural behavior due to various external loads through installation of appropriate measurement. Accordingly, a guideline for monitoring standards is necessary to evaluate the safety and performance of a structure. This paper introduces preliminary design of SHM for high-rise buildings, which is the stage creating a guideline. As for preliminary design of SHM, first step is to calculate the displacement and member force through structural analysis. After that, limitations or qualifications are proposed for management. Secondly, based on the results from first step, issues related monitoring such as monitoring method, measurement type, or installation location are determined. This method leads building managers to reasonably define the structural safety over the whole life cycle. Furthermore, this experience contributes to development of SHM forward and it is expected to be useful for other types of structures as well such as spatial structures or irregular buildings.

• 한국전산구조공학회논문집
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• 제26권6호
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• pp.415-421
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• 2013

본 논문에서는 면진시스템이 원전에 적용될 경우 원전구조물의 생애주기 성능에 미치는 영향을 소개한다. 최근 내진설계와 더불어 강진발생 예상 지역에 적용을 목적으로 개발되는 면진시스템은 구조물을 장주기화하여 응답가속도를 줄이고 상대변위를 늘려줌으로써 구조물의 안전성을 증진시키는 것으로 알려져 있다. 따라서, 구조물의 안전성이 중요시되는 원전구조물에 면진시스템을 적용하기 위한 연구가 국내에서 진행 중에 있다. 본 연구에서는 원전구조물의 생애주기 성능분석에 있어서 특징을 분석하고, 면진시스템이 적용될 경우 원전구조물의 생애주기성능에 있어서 미치는 영향을 평가함으로써, 도출된 결과를 면진시스템 적용의 정량적인 타당성 평가에 활용할 수 있다.

• 한국융합학회논문지
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• 제10권11호
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• pp.353-366
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• 2019

사회발달로 인해 안전기준이 세분화 전문화되면서 관련 법령 또한 그 수가 점차 증가하여 법령 내에서 중복 또는 상충의 문제점이 나타나고 있다. 우리나라 법령에 존재하는 모든 안전기준을 수집한 후 중복 또는 상충문제를 찾아내기 위해서는 우선 안전기준이 가지는 특성들을 분석할 필요가 있다. 본 연구에서는 모든 안전기준에서 나타나는 공통요소와 특정 안전기준에서만 나타나는 특이점을 추출하면서 안전기준의 특성을 크게 구조적, 어휘적 부분으로 구분하였다. 분석결과, 안전기준의 구조적 속성은 2가지, 어휘적 특징은 4가지로 도출되었다. 이러한 특성들이 안전기준을 관리할 향후 시스템에 미치는 영향에 대해서도 추가로 검토하였다. 본 연구를 기반으로 향후 더 많은 안전기준의 구조 및 어휘적 특성들이 축적된다면 효율적인 안전기준의 수집.분석 알고리즘 개발이 가능해져 결국 법령내 안전기준의 중복 상충 문제점 해소에 도움이 될 것이다.

• 디지털융복합연구
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• 제13권10호
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• pp.255-261
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• 2015

본 연구에서는 경영전략의 하나로 활용되고 있는 공급사슬관리(Supply Chain Management : SCM)시스템의 활용에 영향을 미치는 요인들을 분석하였다. 요인들을 도출하기 위하여 기존의 연구들을 바탕으로 SCM시스템을 구축하여 활용하고 있는 생산기업으로 부터 수집된 데이터로 실증분석을 하였다. 설문지 내용은 Likert 5점 척도로 구성하였고, 인터넷 설문을 실시하였다. 연구 모델을 구조방정식을 통해서 분석한 결과 공급사슬관리시스템의 활용에 영향을 미치는 요인들은 기업의 IT-활용능력과 기업의 공급사슬관계로 함축되었다. 이들 요인들의 관계는 구조방정식(Structural Equation Model : SEM) 기법을 통해 상호연관관계를 분석하였다. 본 연구는 한국의 제조기업 들에게 공급사슬관리시스템 구축 및 활용 있어서 고려해야할 요인들에 대한 이해를 증진시키고, 효율적인 공급사슬관리시스템을 구축할 수 있는 방향을 제시해 줄 것이다.

• Safety and Health at Work
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• 제6권3호
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• pp.200-205
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• 2015

Background: Construction activity has made considerable breakthroughs in the past two decades on the back of increases in development activities, government policies, and public demand. At the same time, occupational health and safety issues have become a major concern to construction organizations. The unsatisfactory safety performance of the construction industry has always been highlighted since the safety management system is neglected area and not implemented systematically in Indian construction organizations. Due to a lack of enforcement of the applicable legislation, most of the construction organizations are forced to opt for the implementation of Occupational Health Safety Assessment Series (OHSAS) 18001 to improve safety performance. Methods: In order to better understand factors influencing the implementation of OHSAS 18001, an interpretive structural modeling approach has been applied and the factors have been classified using matrice d'impacts croises-multiplication $appliqu{\acute{e}}$ a un classement (MICMAC) analysis. The study proposes the underlying theoretical framework to identify factors and to help management of Indian construction organizations to understand the interaction among factors influencing in implementation of OHSAS 18001. Results: Safety culture, continual improvement, morale of employees, and safety training have been identified as dependent variables. Safety performance, sustainable construction, and conducive working environment have been identified as linkage variables. Management commitment and safety policy have been identified as the driver variables. Conclusion: Management commitment has the maximum driving power and the most influential factor is safety policy, which states clearly the commitment of top management towards occupational safety and health.

• 한국의류학회지
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• 제40권1호
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• pp.131-147
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• 2016

This study investigated the relationship between fashion behavior, impression management behavior, and career success. A conceptual model and hypotheses were established based on theoretical linkages between the constructs. Thereafter, empirical data were collected using a set of questionnaires. For this reason, the sample was taken from 720 office workers' who worked at 14's Korea Enterprise, 697 of which was used for an empirical analysis (sample: men over 30 years of age and more than three years continuous service). This study conducted an exploratory factor analysis and confirmatory factor analysis for the validity test. Cronbach's alpha test is used for the reliability test. Moreover, PLS structural equation modeling (SEM) was employed to test hypothesized relationships in the conceptual model (SPSS 20.0 window/Smart PLS 3.0). This study shows that the proposed model is reasonably fit to the actual data. The following results were obtained from the analyses. First, fashion behavior and impression management behavior is positively related to career success. The result shows that economics of the fashion behaviors sub-types were statistically more significant to influence career success. The self-focused of the impression management behavior sub-types were more than statistically significant to influence career success. This finding has great implications to understand self-management behavior and the career success of male office workers.

• 지식경영연구
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• 제22권1호
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• pp.121-138
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• 2021

빠르게 변화하는 기업 환경에서 새롭게 창업을 하려는 창업의도가 직장인사이에서 강화되어지고 있다. 본 연구에서는 지식경영의 관점에서 창업의도에 영향을 미치는 효과를 확인하기 위하여서, 위험감수성, 성취욕구, 혁신성으로 이루어진 2차 요인인 기업가정신과 기술역량과 업무만족이 창업의도에 미치는 영향과 관계를 분석하였다. 이를 위해서 PLS 구조 방정식(Partial Least Square Structural Equation Model)을 이용하여서 제안된 연구모형을 통계적으로 검증하였다. 이를 위해 현재 직장에 재직중인 직장인 280명을 대상으로 Online으로 설문자료를 수집하였으며, 구조방정식모형을 통해 연구모형을 실증적으로 분석하였다. 분석 결과 제안된 모든 변수들이 창업의도에 유의한 영향을 미쳤으며, 업무만족은 기업가정신과 상호작용하여서 창업의도에 부(-)의 조절효과를 미치는 것을 확인하였다. 연구의 결과는 지식 경영관점에서 실무적, 이론적인 시사점을 제공하여 줄 것으로 기대된다.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2003년도 추계학술발표회 논문집
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• pp.291-295
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• 2003

For rapid development of science and economic growth, modern constructs are higher and large in order to use confined areas efficiently. Also, it is very important to manage efficient data for safety and maintenance of those constructs. The estimation for structural safety can be evaluated by structural durability and safety using data which surveys various elements. So, it should be based on synthetic and efficient data which includes various elements with related safety of those structures. Then, it will be managed properly and economically. Accordingly, in this study, we would approach efficient maintenance management using the GIS with data from structural-safety diagnosis.

• 품질경영학회지
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• 제30권3호
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• pp.38-52
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• 2002

This paper is concerned with the analysis of structural equation model(SEM) with the ordinal data such as Likert scale. The SEM is misused when the arbitrary scores allocated to the Likert scale are treated as quantitative data. The underlying distribution approaches have been studied to solve this problem, and the partial least squares(PLS) Is also tried. In this paper the quantification methods for the Likert scale are proposed to analyze the SEM. We assume that the Likert scale is an observation of the interval of the continuous underlying distribution, and the respondents have their own patterns in the response of some questions. Normal and beta distributions as the response patterns are considered to quantify the Likert scale. To compare the efficiency of the proposed method the bootstrap simulations are tried.

• Communications for Statistical Applications and Methods
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• 제8권2호
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• pp.543-556
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• 2001

This study suggests integrated neural network modes for he stock price index forecasting using change-point detection. The basic concept of this proposed model is to obtain significant intervals occurred by change points, identify them as change-point groups, and reflect them in stock price index forecasting. The model is composed of three phases. The first phase is to detect successive structural changes in stock price index dataset. The second phase is to forecast change-point group with various data mining classifiers. The final phase is to forecast the stock price index with backpropagation neural networks. The proposed model is applied to the stock price index forecasting. This study then examines the predictability of integrated neural network models and compares the performance of data mining classifiers.