• Transactions of the Korean Society of Mechanical Engineers
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• v.7 no.2
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• pp.226-232
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• 1983

회전수를 용접변수로 했을 때 이종강봉 및 이종강관의 마찰용접에 있어서 소성변형중에 발생한 AE(acoustic emission)량과 용접후의 냉각중에 발생한 AE량의 총량을 측정해석하고, 용접표면상 에 0.635mmR의 반원 노치를 가공했을 때의 용접부 인장강도를 구하여, AE총량과 용접부강도와 의 상관관계실험식 모델을 만들었고, 이들과 관계계산식과의 비교 조사와 95%신뢰성을 검증하였 고, 이종강의 마찰용접 중에 용접강도와 품질을 검토관리할 수 있는 기본자료가 되게 하였다.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.41-42
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• 2011

전원부의 Current에 Inductance적으로 유도되어 추가된 Voltage Noise를 측정할 때, 기존의 측정방법에서는 IBIS 1개만을 측정에 사용하기 때문에 Output Current의 정확한 값을 측정하지 못하였다. High Frequency를 사용하는 Device가 증가하고 이에 따른 SI의 정확한 검증에 대한 필요성이 커짐에 따라, 본 연구에서는 Switching Current Source로 Inverter를 사용하여 신뢰할 수 있는 모델을 구현하고 이를 검증한다.

• Korean Journal of Cognitive Science
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• v.19 no.3
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• pp.223-255
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• 2008

In this paper, we introduce an automatic system of scoring English essays. The system is comprised of three main components: a spelling checker, a grammar checker and a lexical cohesion checker. We have used such resources as WordNet, Link Grammar/parser and Roget's thesaurus for these components. The usefulness of an automatic scoring system depends on its reliability. To measure reliability, we compared the results of automatic scoring with those of manual scoring, on the basis of the Kappa statistics and the Multi-facet Rasch Model. The statistical data obtained from the comparison showed that the scoring system is as reliable as professional human graders. This system deals with textual units rather than sentential units and checks not only formal properties of a text but also its contents.

• Informatization Policy
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• v.20 no.1
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• pp.85-109
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• 2013

This study presents a model and its implementation methodology assessing not only maturity but also applicability in order to increase the practical usage of open source software(OSS). Since this model measures applicability which can not be assessed by the previous models, it is able to support users in many ways when they introduce OSS for the first time, replace commercial software with OSS, and compare OSS with commercial software. For the purpose of design and implementation of this model, we presented a methodology with 7 phases and conducted a survey to evaluate the appropriateness and reliability of the model. In addition, we proved the practical usability of the model by providing a practical example assessing maturity and applicability of OSS in the area of the infra category on the basis of the methodology. In the future, not only general users but also officers in charge of informatization will be able to select optimal OSS by using this model for industrial application. Therefore, the result of this research is expected to greatly contribute to OSS promotion policy.

• The Journal of the Korea Contents Association
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• v.8 no.5
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• pp.82-93
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• 2008

Nowadays, as the importance of SOA-based software is recognized, the market of SOA-based software is getting bigger. In response to this, the requirements about high reliability and quality SOA-based software is getting increased. In this research, we clearly suggested the evaluation method by giving a specific evaluation example to evaluate the quality of SOA-based software. It is expected to raise the objectivity and the utilization by inducing the quality improvement from this research.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.05c
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• pp.1685-1688
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• 2003

소프트웨어는 컴포넌트 기반으로 개발되어 가고 있다. 컴포넌트 기반의 시스템은 소프트웨어의 복잡해지고 다양한 요구사항에 대해 부품을 조림하듯 빠르게 대응할 수 있다. 이미 기존에 구축되어 있는 시스템을 이용한다면 새로운 시스템을 구축하는데 비즈니스 모델, 비즈니스 로직과 GUI를 재사용 할 수 있고 개발 기간은 매우 단축될 수 있다. 본 논문에서는 MFC환경으로 구축되어 있는 기존 시스템을 COM 컴포넌트 모델로 변환하기 위한 변환 방법을 제시하고 그에 따른 소스코드의 재사용율을 측정하였다. 본 논문에서 제시하는 방법에 따른 컴포넌트 변환 방법은 신뢰성 있는 기존의 어플리케이션을 COM 컴포넌트 모델로 변환 시 매우 높은 재사용율을 보인다.

• Journal of Korea Multimedia Society
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• v.15 no.5
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• pp.595-605
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• 2012

Various methods for measuring strabismus have been developed and used in clinical diagnosis. However, most of them are based on the visual inspection by clinicians. For this reason, there is a high possibility of subjective evaluation in clinical decisions and they are only useful for cooperative patients. Therefore, the development of a more objective and reproducible method for measuring strabismus is needed. In this paper, we introduce a new software to complement the limitations of previous diagnostic methods. Firstly, we simply obtained facial images of patients and performed several preprocessing steps based on the spherical RGB color model with them. Then, the measurement of strabismus was performed automatically by using our 3D eye model and mathematical algorithm. To evaluate the validity of our software, we performed statistical correlation analysis of the results of the proposed method and the Krimsky test by two clinicians for ten patients. The coefficients of correlation for two clinicians were very high, 0.955 and 0.969, respectively. The coefficient of correlation between two clinicians also showed 0.968. We found a statistically significant correlation between two methods from our results. The newly developed software showed a possibility that it can be used as an alternative or effective assistant tool of previous diagnostic methods for strabismus.

• Journal of Elementary Mathematics Education in Korea
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• v.24 no.3
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• pp.259-277
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• 2020

The purpose of this study was to develop and validate a scale of Korean elementary teachers' mathematics beliefs. We examined 299 elementary teachers' mathematical beliefs using 30 items, out of which 12 items covered beliefs about the nature of mathematics and 18 items covered beliefs about mathematics teaching and learning. In the first stage, we performed exploratory factor analysis using 149 survey data to examine the factor structure. In the second stage, we performed confirmatory factor analysis using 150 survey data. Building upon previous studies, we examined the construct validity of three different models to find the best factor structure. The study results indicate that the four-factor model with 14 items provides the best fit for the data: transmissive view of mathematics, constructivist view of mathematics, transmissive view of teaching and learning, and constructivist view of teaching and learning. The findings of the study reveal that each factor has adequate internal consistency and reliability. These results confirm that the beliefs scale is a reliable and valid measurement tool to measure Korean elementary teachers' mathematical beliefs. The implications of the study are discussed.

• Journal of Applied Reliability
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• v.8 no.4
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• pp.155-166
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• 2008

PTH cracks are caused by the mismatch of coefficient of thermal expansion(CTE) between polymer and laminated materials, and are one of the main failure mechanisms of multi layer boards. In spite of its importance, it is usually hard to measure or detect them because of its small size and invisibility. To detect PTH cracks more effectively, this paper proposes a theoretical model that can estimate the resistance value from crack size of PTHs. Using four-point probe resistance measurement method, the resistance value of test coupons is measured. Through measured data, we verify the validity of the proposed theoretical model and set up criteria of failure.

• Journal of Korea Society of Industrial Information Systems
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• v.28 no.5
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• pp.77-87
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• 2023

Wind turbines playing a critical role in renewable energy generation, accurately assessing their operational status is crucial for maximizing energy production and minimizing downtime. This study conducts a comparative analysis of different neural network models for wind turbine condition diagnosis, evaluating their effectiveness using a dataset containing sensor measurements and historical turbine data. The study utilized supervisory control and data acquisition data, collected from 2 MW doubly-fed induction generator-based wind turbine system (Model HQ2000), for the analysis. Various neural network models such as artificial neural network, long short-term memory, and recurrent neural network were built, considering factors like activation function and hidden layers. Symmetric mean absolute percentage error were used to evaluate the performance of the models. Based on the evaluation, conclusions were drawn regarding the relative effectiveness of the neural network models for wind turbine condition diagnosis. The research results guide model selection for wind turbine condition diagnosis, contributing to improved reliability and efficiency through advanced neural network-based techniques and identifying future research directions for further advancements.