• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2011년도 춘계학술대회
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• pp.701-705
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• 2011

The paper reviews Cronbaha's coefficient to measure a single source of error. On the contrary to classical measurement theory, the generalizability study can be used in the social survey design to calculate Generalizability Index (GI) and Dependability Index (DI) for measuring multiple sources of errors of behavior evaluation. The study proposes application guidelines to implement R:($A{\times}B$) mixed models that are composed of random factor and fixed factor.

• 한국멀티미디어학회논문지
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• 제20권5호
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• pp.791-799
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• 2017

With the development of the internet of things, sensor and device are can be applied to various scenario. Overall improving of the dependability index of internet of things is the ultimate goal. And reliability aims to increase the success rate of internet of things service delivery. Many studies about internet of things system have been made on the system to assess a dependability for providing reliable service to user, but it has difficult to reflect the user context for evaluating the device reliability. Also, most do not consider the availability of content information. In this paper, it proposed dependable device searching system in the internet of things environment. This system evaluates device dependability based on device status and measured data. Through the proposed system, it can be provided reliable context information for user-centric service.

• 대한안전경영과학회지
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• 제6권2호
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• pp.103-114
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• 2004

IEC 60300 series, the international standards on reliability management system are newly developed and introduced rapidly worldwide. In order to meet this fast-changing situation, it is necessary to apply them to the Korean industries effectively. It includes the establishment of the infrastructure such as documentation of Korean Standards, introduction of test equipments and test manuals, accreditation of the certification bodies and training of the specialists etc. IEC 60300 is upgraded management system of the ISO 9000 and ISO 14000. In this regard, the Korean companies which were certified with the ISO 9000 or 14000 should endeavor to find new strategies and methods to be certified with IEC 60300. This paper introduces a Quantitative method of estimating the level of the reliability management system by applying the MIR(Maturity Index on Reliability) technique. This enables the estimation of the operation level of the system and can upgrade the maturity level of it.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2006년도 춘계공동학술대회 논문집
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• pp.124-127
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• 2006

IEC 60300 is an advanced Dependability Management System(DMS) designed for highly qualified company. ISO/TS 16949 is an Quality Management System enforced reliability activities. It is now hot issue how to set up and implement DMS. This paper presents an approach for implementing Dependability Management System(IEC 60300) based on Quality Management System(ISO/TS16949). We analyse the difference and relationship between these two systems, and suggest an quantitative method for evaluating DMS by introducing MIR(Maturity Index for Reliability). Finally we analyse the level of reliability activities in these systems by MIR.

• 품질경영학회지
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• 제44권2호
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• pp.277-296
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• 2016

Purpose: Propose model to diagnose and assess National Defense Industry and quality management by investigating and analyzing established standard model. Methods: Research on established internal model including MB, EQA and JQA model and make standard index for quality index extraction and quantitative index to test objectively for internal state. Results: Extract advantage and disadvantage by performance of National Defense Industry level diagnose and build foundation for quality management policy and road map. Conclusion: Due to result of diagnostic assesment of quality management of national defense industry, dependability, SCQM and safety part shows vulnerability and require improvement and support.

• Geomechanics and Engineering
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• 제36권2호
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• pp.111-119
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• 2024

In the realm of rock excavation projects, precise estimation of the drilling rate index stands as a pivotal factor in strategic planning and cost assessment. This study introduces and evaluates two pioneering computational intelligence models designed for the prognostication of the drilling rate index, a pivotal parameter with direct implications for cost estimation in rock excavation projects. These models, denoted as the Relevance Vector Regression (RVR) optimized with the Invasive Weed Optimization algorithm (IWO) (RVR-IWO model) and the RVR integrated with the Shuffled Frog Leaping algorithm (SFL) (RVR-SFL model), represent a groundbreaking approach to forecasting drilling rate index. The RVR-IWO and RVR-SFL models were meticulously devised to harness the capabilities of computational intelligence and optimization techniques for drilling rate index estimation. This research pioneers the integration of IWO and SFL with RVR, constituting an unprecedented effort in forecasting drilling rate index. The primary objective of this study was to gauge the precision and dependability of these models in forecasting the drilling rate index, revealing significant distinctions between the two. In terms of predictive precision, the RVR-IWO model emerged as the superior choice when compared to the RVR-SFL model, underscoring the remarkable efficacy of the Invasive Weed Optimization algorithm. The RVR-IWO model delivered noteworthy results, boasting a Variance Account for (VAF) of 0.8406, a Mean Squared Error (MSE) of 0.0114, and a Squared Correlation Coefficient (R²) of 0.9315. On the contrary, the RVR-SFL model exhibited slightly lower precision, yielding an MSE of 0.0160, a VAF of 0.8205, and an R2 of 0.9120. These findings serve to highlight the potential of the RVR-IWO model as a formidable instrument for drilling rate index prediction, particularly within the framework of rock excavation projects. This research not only makes a significant contribution to the realm of drilling engineering but also underscores the broader adaptability of the RVR-IWO model in tackling an array of challenges within the domain of rock engineering. Ultimately, this study advances the comprehension of drilling rate index estimation and imparts valuable insights into the practical implementation of computational intelligence methodologies within the realm of engineering projects.

• 영재교육연구
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• 제23권5호
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• pp.671-695
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• 2013

이 연구는 관찰 추천제에 의한 수학영재 선발 시 사용되는 자기소개서와 교사추천서를 활용하여 측정상황에서 발생하는 오차요인들의 상대적인 영향력을 살펴보고, 이를 바탕으로 채점 영역 내의 문항 수의 조건을 변화시킴으로써 일반화가능도계수를 최대화할 수 있는 효율적인 측정 조건을 탐색하는 방법을 제시하였다. 이를 위해 2011학년도 수도권에 소재하고 있는 대학부설 과학영재교육원 수학분야에 지원한 90명의 자기소개서와 교사추천서를 2명의 교사가 분석적 방법으로 채점한 자료에 대해 다변량 일반화가능도 분석을 적용하였다. 이 연구 결과 산출된 최적의 측정 조건은 특정 영재교육원에서 제작한 루브릭을 바탕으로 수학영재를 선발하기 위해 사용된 선발도구에만 국한되지만, 이 연구에서 적용한 방법론적 틀은 시 도 교육청 영재교육원, 영재학급 그리고 대학의 영재교육원 등 각 영재교육 현장에서 직접 제작한 선발도구에 측정학적 특성을 바탕으로 최적의 측정 조건을 탐색하는 데 적용 가능하다.

• 한국토양비료학회지
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• 제44권5호
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• pp.808-813
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• 2011

벼 재배시 농가에서 화학비료 사용량을 절감하기 위해 토양검정에 의한 양분관리 방법을 수립하고자 하였다. 그 결과 처리간에 수확기 토양의 EC, 유효규산, 치환성 Ca은 감소하였고, pH, 유기물함량, 치환성 K와 Mg은 변화가 없었다. 수확기 토양미생물은 시비전에 비해 호기성균, Bacilus sp. 사상균은 증가하였고, 퇴비 50%를 사용한 처리에서 호기성세균이 다량분포하고 있었다. 표준시비구와 퇴비를 50% 사용하였을 경우에는 잎의 N, P, K 함량은 비슷하였다. 벼 생육상황과 엽록소함량은 무비구를 제외한 모든 처리구에서 비슷한 수준을 보였다. 수량은 검정시비량 50%+퇴비 50% 처리구가 가장 많았고, 무비구에서 가장 적었으며, 처리별로 비교해보면 검정시비량 50%+퇴비 50%구> 표준시비구>검정시비량70%+퇴비 30%구>검정시비구>무비구 순이었다. 쌀의 아밀로오스 함량은 17.2~17.8%로서 비슷하였고, 단백질 함량은 5.9%~6.8%로 화학비료 사용량이 적을수록 낮았고, 기계적인 식 미치는 높게 나타났다. 따라서 친환경 쌀 생산을 위하여 화학비료 표준시비량을 검정시비량 50%에 퇴비 50%를 사용하는 것이 기준수확량을 유지함과 동시에 식미 향상효과가 있어 축분퇴비의 시비기술 측면에서 개선 또는 재검토 되어야 한다.