• 제목/요약/키워드: Korean validation

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Modeling cryptographic algorithms validation and developing block ciphers with electronic code book for a control system at nuclear power plants

  • JunYoung Son;Taewoo Tak;Hahm Inhye
    • Nuclear Engineering and Technology
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    • 제55권1호
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    • pp.25-36
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    • 2023
  • Nuclear power plants have recognized the importance of nuclear cybersecurity. Based on regulatory guidelines and security-related standards issued by regulatory agencies around the world including IAEA, NRC, and KINAC, nuclear operating organizations and related systems manufacturing organizations, design companies, and regulatory agencies are considering methods to prepare for nuclear cybersecurity. Cryptographic algorithms have to be developed and applied in order to meet nuclear cybersecurity requirements. This paper presents methodologies for validating cryptographic algorithms that should be continuously applied at the critical control system of I&C in NPPs. Through the proposed schemes, validation programs are developed in the PLC, which is a critical system of a NPP's I&C, and the validation program is verified through simulation results. Since the development of a cryptographic algorithm validation program for critical digital systems of NPPs has not been carried out, the methodologies proposed in this paper could provide guidelines for Cryptographic Module Validation Modeling for Control Systems in NPPs. In particular, among several CMVP, specific testing techniques for ECB mode-based block ciphers are introduced with program codes and validation models.

행복감정과 슬픔감정 간의 자기타당화와 규제초점 및 정보왜곡의 차이 (The Differences of Self-Validation, Regulatory Focus and Information Distortion Between Happiness and Sadness)

  • 최낙환;진비;김민지
    • 감성과학
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    • 제20권3호
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    • pp.71-88
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    • 2017
  • 연구는 의사결정 전에 행복을 느끼는 소비자와 슬픔을 느끼는 소비자 간에 자기타당화 정도의 차이와 규제초점의 차이 그리고 자기타당화 정도의 차이가 규제초점과 정보왜곡에 미치는 영향을 탐색하였다. 연구 결과, 첫째, 사전에 행복을 느낀 소비자는 사전에 슬픔을 느낀 소비자보다 자기타당화 정도가 크고, 촉진초점을 강하게 갖는다. 둘째, 사전에 느낀 슬픔감정과 비교하여 사전에 느낀 행복감정이 자기타당화를 매개로 촉진초점에 부분적으로 정적인 영향을 미치고, 자기타당화를 매개로 정보왜곡에 완전히 정적인 영향을 미친다. 본 연구는 현재의 의사결정시점 이전에 느낀 행복감정과 슬픔감정 간에 촉진초점 정도와 자기타당화 정도의 차이, 자기타당화의 정보왜곡 효과를 탐색하여 이론적으로 기여하고 있다. 이에 따라 마케팅 관리자는 소비자의 자사의 제품에 대한 사고 확신성을 높여 소비자의 자기타당화를 촉진하고, 또 촉진초점을 유도하기 위해 사전에 소비자가 행복감정을 느끼도록 해야 함을 관리적 시사점으로 제시하였다.

한국형 고무차륜 경량전철시스템에 대한 요구사항 검증계획 (Requirements Validation Plan for korean Rubber-Tired AGT System)

  • 목재균;이안호;한석윤
    • 시스템엔지니어링워크숍
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    • 통권1호
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    • pp.27-31
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    • 2003
  • This study is in a part of requirements validation plan for korean rubber-tired AGT system on test track. The AGT system is consisted subsystems as vehicle, signalling, communication, power distribution and infrastructure for rubber tire running on track. The subsystems will be installed and integrated on test track till next year for test and evaluation. This paper shows overview for test and evaluation in terms of system requirements and its validation classification, test track configuration, measuring system requirements and its configuration. The whole process of system integration and its validation will be controlled by means of KMS including documentation.

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기능성 원료 인정을 위한 제출자료 작성 가이드[민원인 안내서]에 따른 개똥숙 열수추출분말의 Scopoletin 분석을 위한 HPLC 분석법 밸리데이션 (HPLC Method Validation for Quantitative Analysis of Scopoletin from Hot-Water Extract Powder of Artemisia annua Linné)

  • 김선희;윤기동
    • 생약학회지
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    • 제51권1호
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    • pp.78-85
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    • 2020
  • In this study, we shortly introduced the HPLC method validation guideline for the analysis of functional food which was released from the Ministry of Food and Drug Safety of Korea in Dec 2018. The HPLC method validation was performed through the aforementioned HPLC method validation guideline in order to quantitate scopoletin content from the hot-water extract powder of Artemisia annua Linné. The HPLC method was validated by evaluating specificity, accuracy, precision, limit of quantitation and linearity. All parameters were in the suitable ranges which are designated in the guideline, which indicated the current HPLC method is reliable to quantitate the scopoletin content from the hot-water extract of A. annua.

BIM 설계 검토를 통해 발견된 설계 오류 분석 -한국 BIM 프로젝트 사례 분석 (An Analysis of Design Errors Detected During BIM-based Design Validation - Case Studies in South Korea)

  • 원종성;이강
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2016년도 추계 학술논문 발표대회
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    • pp.158-159
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    • 2016
  • This paper aims to analyze design errors prevented by building information modeling (BIM)-based design validation to identify consideration factors for successfully implementing BIM-based design validation in the architecture, engineering, and construction (AEC) projects. More than 1,300 design errors detected by BIM-based design validation in three BIM-based projects in South Korea are categorized according to its causes, work types, and likelihoods to cause project delay and cost overrun. Each design error is analyzed by conducting face-to-face interviews with practitioners in the three projects.

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로지스틱 회귀분석을 이용한 BIM 설계 검토에 의하여 발견된 설계 오류와 그 영향도간의 관계 분석 (An Analysis on Relations between Design Errors Detected during BIM-based Design Validation and the Impacts Using Logistic Regression)

  • 원종성
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2017년도 춘계 학술논문 발표대회
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    • pp.264-265
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    • 2017
  • This paper aims to analyze relations between design errors prevented by building information modeling (BIM)-based design validation and their impacts in order to identify critical consideration factors for successfully implementing BIM-based design validation in the architecture, engineering, and construction (AEC) projects. More than 800 design errors detected by BIM-based design validation in two BIM-based projects in South Korea are categorized according to its causes and work types. The relations between causes and work types of design errors and project delay, cost overrun, low quality, and rework generation that can be caused by the errors are analyzed through conducting logistic regression. Characteristics of each design error are analyzed by conducting face-to-face interviews with practitioners in the two BIM-based projects. As the results, the impacts of design error causes on predicting project delay, cost overrun, low quality, and rework generation were the highest.

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집단 약동학 모형을 위한 모형 진단과 적합도 검정에 대한 고찰 (Model Validation Methods of Population Pharmacokinetic Models)

  • 이은경
    • 응용통계연구
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    • 제25권1호
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    • pp.139-152
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    • 2012
  • 집단 약동학 모형 추정의 결과는 환자에게 투약학 약물의 용량결정에 직접적 영향을 미치므로 추정 모형에 대한 타당도와 적합도의 검증이 중요하다. 본 논문에서는 다양한 집단 약동학 모형 적합도 검증을 위한 방법들을 비교, 분석하고 실제 임상자료를 이용하여 최적의 집단 약동학 모형을 찾고 이에 대하여 다양한 타당도, 적합도 검정을 실시하여 모형을 진단해 본다.

품질경영시스템 규격 및 감항인증 적용에 관한 연구 (A Study on Quality Management System Specification and Airworthiness Certification Application in Defense Aerospace Industry)

  • 김창영;안영갑
    • 품질경영학회지
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    • 제41권3호
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    • pp.423-432
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    • 2013
  • Purpose: A Study on the application of quality management system specification to production validation and audit in military airworthiness certification. Methods: Aircraft quality management system specification for quality assurance and production validation and audit requirements were examined to verify. Also, the system for domestic and foreign production certification were investigated. Results: Production validation and audit criteria for military aircraft by applying methods suggested Aircraft Certifications Systems Evaluation Program(ACSEP). ACSEP evaluation of the items, some items were complementary and not applied. Conclusion: As a way to ensure the safety of aircraft, confirm the correction of Production validation & audit criteria and rulemaking is necessary and how to manage for Critical Safety Item(CSI) is a need to improve.

교차검증을 이용한 SVM 전력수요예측 (SVM Load Forecasting using Cross-Validation)

  • 조남훈
    • 대한전기학회논문지:전력기술부문A
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    • 제55권11호
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    • pp.485-491
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    • 2006
  • In this paper, we study the problem of model selection for Support Vector Machine(SVM) predictor for short-term load forecasting. The model selection amounts to tuning SVM parameters, such as the cost coefficient C and kernel parameters and so on, in order to maximize the prediction performance of SVM. We propose that Cross-Validation method can be used as a model selection algorithm for SVM-based load forecasting technique. Through the various experiments on several data sets, we found that the difference between the prediction error of SVM using Cross-Validation and that of ideal SVM is less than 5%. This shows that SVM parameters for load forecasting can be efficiently tuned by using Cross-Validation.

K-겹 교차 검증과 서포트 벡터 머신을 이용한 고무 오링결함 검출 시스템 (Rubber O-ring defect detection system using K-fold cross validation and support vector machine)

  • 이용은;최낙준;변영후;김대원;김경천
    • 한국가시화정보학회지
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    • 제19권1호
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    • pp.68-73
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    • 2021
  • In this study, the detection of rubber o-ring defects was carried out using k-fold cross validation and Support Vector Machine (SVM) algorithm. The data process was carried out in 3 steps. First, we proceeded with a frame alignment to eliminate unnecessary regions in the learning and secondly, we applied gray-scale changes for computational reduction. Finally, data processing was carried out using image augmentation to prevent data overfitting. After processing data, SVM algorithm was used to obtain normal and defect detection accuracy. In addition, we applied the SVM algorithm through the k-fold cross validation method to compare the classification accuracy. As a result, we obtain results that show better performance by applying the k-fold cross validation method.