• Title/Summary/Keyword: Validation and Verification Test

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Analysis of Relation between Safety Needs and Life Satisfaction of Security Safety System Users (경비안전시스템 이용자들의 안전욕구와 생활만족에 대한 관계 분석)

  • Choi, Jeong-Il;Jang, Ye-Jin
    • Convergence Security Journal
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    • v.18 no.3
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    • pp.141-148
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    • 2018
  • The purpose of this study is to analyze the safety needs and life satisfaction of users of security system. The contents of the questionnaire consisted of "safety need, use satisfaction, life satisfaction". As a result of the analysis, Chronbach's alpha coefficient was calculated as 0.897 for safety needs, 0.888 for use satisfaction, and 0.887 for life satisfaction. The items were found to have internal consistency. In the validation of discriminant validity, both AVE and CR values were found to be 0.6 or more than the reference value of 0.8. The intuitiveness of the variables used in this study was found to be largely secured. As the hypothesis test result, the standardization factor was calculated as 0.993 for 'safety needs ⇨ use satisfaction' and 0.453 for 'use satisfaction ⇨ life satisfaction', and both hypotheses were positive. As a result of the verification, it was analyzed that the higher the user's safety needs, the higher the use satisfaction, and the higher the use satisfaction, the higher the life satisfaction.

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Nuclear Power Plant Severe Accident Diagnosis Using Deep Learning Approach (딥러닝 활용 원전 중대사고 진단)

  • Sung-yeop, Kim;Yun Young, Choi;Soo-Yong, Park;Okyu, Kwon;Hyeong Ki, Shin
    • Journal of Korea Society of Industrial Information Systems
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    • v.27 no.6
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    • pp.95-103
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    • 2022
  • Quick and accurate understanding of the situation in a severe accident is essential for conducting the appropriate accident management and response using the accident diagnosis information. This study employed deep learning technology to diagnose severe accidents through the major safety parameters transferred from a nuclear power plant (NPP) to AtomCARE. After selecting the major accident scenarios to consider, a learning database was established for particular scenarios affiliated with major scenarios by performing a large number of severe accident analyses using MAAP5 code. The severe accident diagnosis technology, which classifies detailed accident scenarios using the major safety parameters from NPPs, was developed by training it with the established database . Verification and validation were conducted by blind test and principal component analysis. The technology developed in this study is expected to be extended and applied to all severe accident scenarios and be utilized as a base technology for quick and accurate severe accident diagnosis.

Development of Switching System for Flight Control Law (비행제어법칙 전환시스템 개발)

  • Ahn, Jong-Min;Im, Sang-Soo;Kwon, Jong-Kwang;Choi, Sup;Lee, Yong-Pyo;Ko, Joon-Soo
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.36 no.7
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    • pp.712-718
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    • 2008
  • This paper deals with a development of flight control law switching system which can be used for flight test of the research control law by switching control law during flight. Through this research program, fader logic and integrator stabilization design has been introduced to minimize the transient response of aircraft caused by flight control law switching and to prevent the divergence of the integrator included in the control law in standby mode. MIL-STD-1553B communication was applied to transfer the data between the two control laws. This paper introduce the control law switching system architecture and major design concept and include the system verification and validation result performed on the flying quality simulator of the advanced trainer.

Injection Process Yield Improvement Methodology Based on eXplainable Artificial Intelligence (XAI) Algorithm (XAI(eXplainable Artificial Intelligence) 알고리즘 기반 사출 공정 수율 개선 방법론)

  • Ji-Soo Hong;Yong-Min Hong;Seung-Yong Oh;Tae-Ho Kang;Hyeon-Jeong Lee;Sung-Woo Kang
    • Journal of Korean Society for Quality Management
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    • v.51 no.1
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    • pp.55-65
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    • 2023
  • Purpose: The purpose of this study is to propose an optimization process to improve product yield in the process using process data. Recently, research for low-cost and high-efficiency production in the manufacturing process using machine learning or deep learning has continued. Therefore, this study derives major variables that affect product defects in the manufacturing process using eXplainable Artificial Intelligence(XAI) method. After that, the optimal range of the variables is presented to propose a methodology for improving product yield. Methods: This study is conducted using the injection molding machine AI dataset released on the Korea AI Manufacturing Platform(KAMP) organized by KAIST. Using the XAI-based SHAP method, major variables affecting product defects are extracted from each process data. XGBoost and LightGBM were used as learning algorithms, 5-6 variables are extracted as the main process variables for the injection process. Subsequently, the optimal control range of each process variable is presented using the ICE method. Finally, the product yield improvement methodology of this study is proposed through a validation process using Test Data. Results: The results of this study are as follows. In the injection process data, it was confirmed that XGBoost had an improvement defect rate of 0.21% and LightGBM had an improvement defect rate of 0.29%, which were improved by 0.79%p and 0.71%p, respectively, compared to the existing defect rate of 1.00%. Conclusion: This study is a case study. A research methodology was proposed in the injection process, and it was confirmed that the product yield was improved through verification.

Development of Korean Adult Patients Delirium Screening Tool (한국형 성인 환자 섬망 선별 도구 개발)

  • Jeong, Hye Won;Moon, Sun Hee;Choi, Myoung Lee;Lee, Jung A;Ahn, Shin Hye;Jeon, Ji Hye;You, Ji Na;Kim, Hee Jin;Byeon, Ji Eun;Kim, Sook Young;Sung, In Suk
    • Journal of Korean Clinical Nursing Research
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    • v.29 no.2
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    • pp.198-209
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    • 2023
  • Purpose: The purpose of this study was to develop a Korean Adult Patients Delirium Screening Tool (K-APDS) for those admitted to general wards, and to verify its reliability and validity. Methods: For the development of the tool, 12 items were derived through the results of literature review and focus group interviews with general ward nurses, and the content validity was confirmed by experts. To verify the reliability and validity of the developed tool, 317 adult patients who were admitted to general wards of three tertiary general hospitals from October to November 2022 were evaluated by the attending nurse and data were collected. Results: After factor analysis for construct validity verification, two factors were extracted, which explained 60.1% of the total variance. After the validation of the control group, the difference in the delirium incidence scores calculated using the K-APDS between the delirium group and non-delirium group was very significant (Z=-10.82, p<.001). To verify the criterion validity, K-APDS, Delirium Observation Screening, and Pearson's correlation coefficient were checked and found to be .94 (p<.001). The predictive validity test reported that the sensitivity was 91.1%, specificity was 82.4%, positive predictive value was 52.6%, and negative predictive value was 97.8%. The reliability of K-APDS was found to be high with Cronbach's ⍺=.91. Conclusion: K-APDS can screen for delirium with 2 or more points, excellent validity and reliability have been verified. Therefore, this tool could be applied immediately in the clinical field, and will contribute to the early detection of delirium, enabling rapid interventions.

A Study on Improving Plan of the Evaluating System for Efficient Defense M&S Accreditation Work (효율적인 국방M&S 인정업무 수행을 위한 평가시스템 발전방안 연구)

  • Han, Seung-Ho
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.4
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    • pp.42-48
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    • 2021
  • Recently, the defense industry has been improving high technology by developing convergence technology through the 4th industrial revolution. On the other hand, it is very difficult to guarantee the performance of high-tech weapon systems because the test for weapon systems has many risks and cannot perform in an actual operating environment. Therefore, M&S resources are needed to make sound weapon systems, but many people demand reliable M&S resources. Owing to the continuous demand and execution of the VV&A work, related rules have developed significantly, but tools and techniques for performing the work have not been developed. Hence, there are inefficient parts in the performance of work due to the absence of a systematic system. Accordingly, many risks may cause various safety accidents, such as security. This paper suggests a direction for the development of VV&A work procedures by improving efficiency and reducing risk.

Proposal and Performance Verification of a Seismic Adapter for Steel Brace Connections for In-plane Reinforcement of School Buildings (학교 건축물의 면내보강을 위한 강재브레이스 접합용 내진어댑터의 상세 제안 및 성능검증)

  • Seokjae Heo;Lan Chung;In-Kwan Paik
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.27 no.6
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    • pp.162-171
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    • 2023
  • In this study, The details for a seismic adapter designed to easily connect concrete structures and reinforcement materials for the in-plane reinforcement of aged structures were proposed. Proposed seismic adapter was tested for performance using a dynamic simulation on a 2-story column-beam structure, scaled to half of the real size. The experimental results showed that the reinforced test specimens using the seismic adapter improved their energy dissipation capacity by 3.5 times compared to the non-reinforced specimens. It was confirmed that the seismic adapter experienced no damage within its general usage range, thus proving its effectiveness. Subsequently, upon loading until the limit of deformation (a deformation angle of 3.3%), it was observed that one of the M10 bolts connecting the adapter and the reinforcement at the lower part of the first floor broke. Considering this finding, when applying seismic retrofitting in real situations, emphasis should be placed on the design of the bolts and anchors connecting the seismic adapter. This aspect warrants further research for validation.

The Convergence correlational Study on Office Workers' Health Related Behaviors and Prevalence Rates of Metabolic Syndrome (직장인의 건강관련 행위와 대사증후군 요인별 차이 융합적 연구)

  • Kim, Mi Jin
    • Journal of the Korea Convergence Society
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    • v.7 no.3
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    • pp.99-109
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    • 2016
  • The purpose of this study is to offer evidence that supports effective prevention strategies for people with chronic lifestyle related disease and cardiovascular disease based on understanding relations between health related behaviors and risk factors of metabolic syndrome, to suggest a basic indicator that are related to office workers' chronic lifestyle related disease and to provide basic information for educating people who are diagnosed with chronic lifestyle diseas.Research methods include SPSS / Win Program ver 20.0 utilization analyzes were, variables and relationships to analyze it to F-test verification and ANOVA test conduct was, associations verify the order $x^2$(Chi-square) validation was conducted.Participants of this study are office workers who took medical examination covered by employee health insurance athealth screening centers in the city of Seoul. All 291 participants were explained about the purpose of this study and signed consent forms. The prevalence of metabolic syndrome for 291 participants is 19.2 %. The prevalence of metabolic syndrome for a non-smoker group is 12.7 %, for a group of people who used to smoke lightly is 25.0 %, for a group of people who used to smoke heavily is 25.9 %, for light smokers group is 29.7 % and heavy smoker group is 26.7 %. As results of this convergence study exhibits, there is a strong correlation between smoking and drinking habits, and the prevalence of metabolic syndrome.

Prediction of Stand Volume and Carbon Stock for Quercus variabilis Using Weibull Distribution Model (Weibull 분포 모형을 이용한 굴참나무 임분 재적 및 탄소저장량 추정)

  • Son, Yeong Mo;Pyo, Jung Kee;Kim, So Won;Lee, Kyeong Hak
    • Journal of Korean Society of Forest Science
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    • v.101 no.4
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    • pp.599-605
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    • 2012
  • The purpose of this study is to estimate diameter distribution, volume per hectare, and carbon stock for Quercus variabilis stand. 354 Quercus variabilis stands were selected on the basis of age and structure, the data and samples for these stands are collected. For the prediction of diameter distribution, Weibull model was applied and for the estimation of the parameters, a simplified method-of-moments was applied. To verify the accuracy of estimates, models were developed using 80% of the total data and validation was done on the remaining 20%. For the verification of the model, the fitness index, the root mean square error, and Kolmogorov-Smirnov statistics were used. The fitness index of the site index, height, and volume equation estimated from verification procedure were 0.967, 0.727, and 0.988 respectively and the root mean square error were 2.763, 1.817, and 0.007 respectively. The Kolmogorov-Smirnov test applied to Weibull function resulted in 75%. From the models developed in this research, the estimated volume and above-ground carbon stock were derived as $188.69m^3/ha$, 90.30 tC/ha when site index and stem number of 50-years-old Quercus variabilis stand show 14 and 697 respectively. The results obtained from this study may provide useful information about the growth of broad-leaf species and prediction of carbon stock for Quercus variabilis stand.

Numerical Simulation of Dynamic Soil-pile Interaction for Dry Condition Observed in Centrifuge Test (원심모형실험에서 관측된 건조 지반-말뚝 동적 상호작용의 수치 모델링)

  • Kown, Sun-Yong;Kim, Seok-Jung;Yoo, Min-Taek
    • Journal of the Korean Geotechnical Society
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    • v.32 no.4
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    • pp.5-14
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    • 2016
  • Numerical simulation of dynamic soil-pile-structure interaction embedded in a dry sand was carried out. 3D model of the dynamic centrifuge model tests was formulated in a time domain to consider nonlinear behavior of soil using the finite difference method program, FLAC3D. As a modeling methodology, Mohr-Coulomb criteria was adopted as soil constitutive model. Soil nonlinearity was considered by adopting the hysteretic damping model, and an interface model which can simulate separation and slip between soil and pile was adopted. Simplified continuum modeling (Kim et al., 2012) was used as boundary condition to reduce analysis time. Calibration process for numerical modeling results and test results was performed through the parametric study. Verification process was then performed by comparing numerical modeling results with another test results. Based on the calibration and validation procedure, it is identified that proposed modeling method can properly simulate dynamic behavior of soil-pile system in dry condition.