• Smart Structures and Systems
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• 제12권2호
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• pp.209-233
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• 2013

With an annual growth rate of about 30%, wind energy systems, such as wind turbines, represent one of the fastest growing renewable energy technologies. Continuous structural health monitoring of wind turbines can help improving structural reliability and facilitating optimal decisions with respect to maintenance and operation at minimum associated life-cycle costs. This paper presents an integrated monitoring system that is designed to support structural assessment and life-cycle management of wind turbines. The monitoring system systematically integrates a wide variety of hardware and software modules, including sensors and computer systems for automated data acquisition, data analysis and data archival, a multiagent-based system for self-diagnosis of sensor malfunctions, a model updating and damage detection framework for structural assessment, and a management module for monitoring the structural condition and the operational efficiency of the wind turbine. The monitoring system has been installed on a 500 kW wind turbine located in Germany. Since its initial deployment in 2009, the system automatically collects and processes structural, environmental, and operational wind turbine data. The results demonstrate the potential of the proposed approach not only to ensure continuous safety of the structures, but also to enable cost-efficient maintenance and operation of wind turbines.

• The Journal of Asian Finance, Economics and Business
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• 제8권10호
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• pp.165-176
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• 2021

The primary purpose of this study is to identify determinants influencing Vietnamese consumers' purchase intention towards Japanese convenience goods. The research model consisting of six factors affecting the dependent variable is proposed based on the Theory of Consumption Values and Theory of Perceived Value of purchase. This study employs a survey method in a convenient sampling method to collect data of target respondents. Data consisting of 180 samples was collected and analyzed using the SMARPLS3 software. The measurement model is assessed to confirm the validity and reliability of the construct, then hypotheses testing is performed with Bootstrapping analysis. The results demonstrated that five factors affect Vietnamese consumers' purchase intention towards Japanese convenience goods, including the price of the product, quality of the product, functional value, emotional value, and conditional value. Major findings of this study suggest that the functional value that consumer perceives about Japanese convenience goods has the most significant relationship with their purchase intention, followed by the quality of the product and the price of the product. Besides, emotional value and conditional value have a moderate influence on consumers' purchase intention. Whereas the influence of the epistemic value of the product on consumers' purchase intention is insignificant in this presented study.

• The Journal of Asian Finance, Economics and Business
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• 제8권5호
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• pp.1139-1145
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• 2021

This study is aimed at developing a measurement instrument for the superior product development program of Deli Serdang cassava, Indonesia. This research population is the target population of Deli Serdang Micro, Small and Medium-sized Enterprises (MSMEs) which produces cassava. The sample was randomly selected and consisted of 300 MSMEs. The study method is research and development with confirmatory factor analysis using Amos software. The data collection technique was a questionnaire. Study results used the maximum likelihood method which showed that the validity and reliability instruments met the ideal loading factor value > 0.5 and a significance value of p (0.000). The model built also meets the fit criteria based on the Goodness of Fit Model Standard. All instruments are presented to build and measure the superior cassava product development program by Deli Serdang MSMEs. This superior product development program comprises (1) economic contribution (with a loading factor value of 0.76) (2) social aspects (with a loading factor value of 0.76) (3) cultural aspects (with a loading factor value of 0.99) and (4) institutional (with a loading factor value of 0.87). This result means that all instruments have proven construct validity.

• The Journal of Asian Finance, Economics and Business
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• 제8권5호
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• pp.189-199
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• 2021

This study aimed to explore the factors affecting the innovation capacity of students at the National Economics University, Vietnam. Researchers used the innovation capacity model based on six factors, including personality traits, future orientation, creative skills, social interaction, content knowledge, and management skills. The empirical analysis used data from the survey of 303 students at National Economics University, Vietnam, with reliable tools (SPSS 26.0 software). The data were analyzed by testing the reliability of the scales, correlation analysis, and Pearson' Linear Correlation Coefficient, exploratory factor analysis, as well as regression model based on the survey data. The research results identified the following factors affecting innovation capacity of students: management skills, social interaction, and personality traits have the strongest impact on innovation capacity of students; content knowledge has the following strongest effects on innovation capacity of students; and finally the creative skills that affects on innovation capacity of students. There is also a positive relationship between all the factors and innovation capacity of students. The result can serve as useful reference sources for scholars who are interested in the innovation field. It also helps university's managers and policymakers build the appropriate environment to improve innovation capacity of students.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제8권4호
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• pp.153-162
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• 2019

최근 철도소음으로 인해 발생하는 궤도 주변 구조물의 민원 방지와 궤도 주변 산업단지의 초정밀 장비들의 정상적인 운영을 위해 철도 진동을 정량적으로 평가할 수 있는 기술개발이 필요하다. 기존의 해석적인 방법은 매우 복잡한 동적 응답 모델이 요구되며, 요구 모델의 부정확성으로 인한 결과의 신뢰성을 확보하기 어려운 문제가 있다. 따라서, 본 논문에서는 철도 진동에 영향을 주는 요소들을 분류한 국내 철도진동 실측 데이터베이스를 기반으로 Linear Regression, Gradient Descent 기법을 이용해 철도 운행으로부터 발생되는 진동값을 추론하는 철도진동 평가 알고리즘 및 시스템을 제안한다. 제안된 알고리즘으로 얻은 추론결과는 기존의 해석적 방법에 비해 높은 효율성과 정확성을 보인다.

• 한국안전학회지
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• 제36권3호
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• pp.66-73
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• 2021

This report documents the results of an at-power internal events Level 1 Probabilistic Safety Assessment (PSA) for a Korea research reactor (KRR). The aim of the study is to determine the accident sequences, construct an internal level 1 PSA model, and estimate the core damage frequency (CDF). The accident quantification is performed using the AIMS-PSA software version 1.2c along with a fault tree reliability evaluation expert (FTREX) quantification engine. The KRR PSA model is quantified using a cut-off value of 1.0E-15/yr to eliminate the non-effective minimal cut sets (MCSs). The final result indicates a point estimate of 4.55E-06/yr for the overall CDF attributable to internal initiating events in the core damage state for the KRR. Loss of Electric Power (LOEP) is the predominant contributor to the total CDF via a single initiating event (3.68E-6/yr), providing 80.9% of the CDF. The second largest contributor is the beam tube loss of coolant accident (LOCA), which accounts for 9.9% (4.49E-07/yr) of the CDF.

• Structural Engineering and Mechanics
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• 제85권3호
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• pp.407-417
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• 2023

Precast assembled bridge piers with hybrid connection (PASP) use both tendons and socket connections. To study the seismic performance of PASP, a full-scale in-situ test was performed based on an actual bridge project. The elastic-plastic fiber model of PASP was established using finite element software, and numerical analyses were performed to study the influence of prestress degree and socket depth on the PASP seismic performance. The results show that the typical failure mode of PASP under horizontal load is bending failure dominated by concrete cracking at the joint between the column and cushion cap. The cracking of the pier concrete and opening of joints depend on the prestress degree and socket depth. The prestressing tendons and socket connection can provide enough ductility, strength, restoration capability, and bending strength under small horizontal displacements. Although the bearing capacity and post yield stiffness of the pier can be improved to some extent by increasing the prestressing force, ductility is reduced, and residual deformation is increased. Overall, there are reasonable minimum socket depths to ensure the reliability of the socket connection.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.289-293
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• 2015

The construction industry has been evolving with the development of information technology. According to this trend, the current industry changes from 2d drawings to Building Information Modeling(BIM). Current studies on the BIM-based estimation have problems such as Quantity Take-Off(QTO) specificity toward a particular software, the uncertainty of the amount in accordance with the model quality. These studies focus on QTO based on BIM rather than schematic estimation. In addition, studies on the connection with the QTO and unit cost for schematic estimation are insufficient. The purpose of this study is to propose schematic estimation process by utilizing construction codes and QTO in architectural object BIM libraries. Construction codes are classified in detail in order to input codes inside each. This study has connected unit cost and construction classification codes that obtain from BIM model. The results of this study will be helpful in decision-making and communication for schematic estimation of the design phase. It will improve the efficiency and reliability problems of existing schematic estimation.

• 한국인공지능학회지
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• 제11권4호
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• pp.29-34
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• 2023

The flow from developing a machine learning model to deploying it in a production environment suffers challenges. Efficient and reliable deployment is critical for realizing the true value of machine learning models. Bridging this gap between development and publication has become a pivotal concern in the machine learning community. FastAPI, a modern and fast web framework for building APIs with Python, has gained substantial popularity for its speed, ease of use, and asynchronous capabilities. This paper focused on leveraging FastAPI for deploying machine learning models, addressing the potentials associated with integration, scalability, and performance in a production setting. In this work, we explored the seamless integration of machine learning models into FastAPI applications, enabling real-time predictions and showing a possibility of scaling up for a more diverse range of use cases. We discussed the intricacies of integrating popular machine learning frameworks with FastAPI, ensuring smooth interactions between data processing, model inference, and API responses. This study focused on elucidating the integration of machine learning models into production environments using FastAPI, exploring its capabilities, features, and best practices. We delved into the potential of FastAPI in providing a robust and efficient solution for deploying machine learning systems, handling real-time predictions, managing input/output data, and ensuring optimal performance and reliability.

• 경영과정보연구
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• 제37권1호
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• pp.139-154
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• 2018

R 프로그래밍 시스템은 인터넷을 통해 개방적이고 무료로 제공이 된다. R 환경은 헌신적이고 독자적인 사용자 그룹이 제공하는 다양한 함수가 포함되는 라이브러리에 의해 그 기능이 지속적으로 풍부해지고 다양해지고 있다. R의 사용은 조직에서의 빅데이터 분석이 점차 도입되면서 다양한 데이터 형태의 데이터 조작과 데이터 분석처리가 요구되면서 점차 채택되기 시작하였다. 그러나 R 수용에 대한 연구는 아직까지 존재하지 않고 있다. 본 연구는 교육환경의 사용자가 R을 수용하는데 미치는 인지변수를 식별하고, 그들간의 관계를 규명하고자 한다. 기존의 기술수용모형에 주관적 규범과 소프트웨어 역량을 추가한 확장된 R 수용모델을 제안하고, 경로분석을 통하여 가설을 검정하였다. 사용의도에 정의 영향을 미치는 변수는 주관적 규범, 지각된 편리성, 지각된 유용성으로 밝혀졌고, 지각된 유용성은 주관적 규범, 소프트웨어 역량, 그리고 지각된 편리성으로부터 영향을 받는 것으로 나타났다. 본 연구가 이전 연구와의 주요 차이점은 대상 시스템이 독립적인 시스템이 아니고, 또한 시스템은 정적이고 개발이 확정된 상태가 아닌 진화하고 오픈소스 시스템을 대상으로 했다는 것이다. 또한 R 환경은 플랫폼으로서, 다양한 통계분석, 빅데이터분석, 그리고 시각화가 가능한 시스템이다. 우리는 TAM(Technology Acceptance Model)을 적용하여 R플랫폼에 대한 사용자의 수용에 영향을 주는 변수를 식별하고 인과관계를 처음으로 시도하였다. 또 다른 기여도는 기존의 TAM모형에 주관적 규범과 소프트웨어 역량 개념을 추가한 확장된 모형을 식별한 것이다. 본 연구결과는 통계나 빅데이터 분석 패키지 도입 계획이 있는 대학이나 기업체에 시사점을 제공할 수 있을 것이다. 그러나 분석에 사용된 표본의 수가 적고, 표본이 모집단을 대표할 수 있다는 근거가 약해 제안된 모델의 신뢰성 및 타당성이 상대적으로 미흡하다고 할 수 있을 것이다. 따라서, 향후 연구에서는 확정적 연구를 위해서는 이와 같은 문제점에 대한 보완이 필요하다고 판단된다.