• 종양간호연구
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• 제7권2호
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• pp.107-118
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• 2007

Purpose: The purpose of this study was to provide the basic data for development of nursing intervention to decrease the uncertainty in cancer patients having chemotherapy through promoting their spiritual health and identifying the relationship between spiritual health and uncertainty. Method: 174 cancer patients who were admitted for chemotherapy at hospital were recruited from the 7th March to the 10th April, 2006. Two instruments have been used for this study. One was Highfield's Spiritual Health Inventory and the other was Mishel's MUIS(Mishel Uncertainty in Illness Scale). The collected data was analyzed by frequency, percentage, mean value, average mean, standard deviation, t-test, Scheffe's test, ANOVA and Pearson Correlation Coefficients with the SPSS PC 12.0 program. Results: The average mean value of the spiritual health $3.50{\pm}\;.48$ and the uncertainty was $1.91{\pm}\;.46$. It meant that the relationships between spiritual health and uncertainty were shown to have a moderately negative correlation(r=-.489, p= .000). This means that the greater is the spiritual health, the less is the patient's uncertainty. Conclusions: It was identified that cancer patients having chemotherapy had moderate spiritual health and uncertainty, and negative correlation between spiritual health and uncertainty. Therefore, it will be necessary for the development of spiritual nursing intervention strategies to relieve the uncertainty among cancer patients having chemotherapy.

• 부모자녀건강학회지
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• 제10권2호
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• pp.136-146
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• 2007

Purpose: The purpose of this study was to provide fundamental data in ensuring a high quality of nursing needed by hospitalized child's mother through research of the mother's perception of uncertainty and nursing need concerning child's hospitalization. Method: 173 hospitalized child's mothers at G hospital in Busan are questioned. The tools used in this study are PPUS(Parent's Perception of Uncertainty Scale) and the nursing need of hospitalized children's mother. The data was analyzed by SPSS/PC program. Results: 1) The perception of total uncertainty for the hospitalized child's mother showed average 2.37 and the nursing need showed very high level, 3.37. 2) The perception of uncertainty in accordance with general character of the hospitalized child's mother shows non significant difference 3) Significant correlation indicated between the perception of uncertainty of hospitalized children's mother and nursing need. Conclusion: It is to be desired to prepare a program which can raise the level of perception developing a method that is able to practically assess and manage the level of perception of hospitalized children's mother.

• Nuclear Engineering and Technology
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• 제53권9호
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• pp.2803-2815
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• 2021

This paper addresses the uncertainty quantification and sensitivity analysis of a depleted light-water fuel assembly of the Turkey Point-3 benchmark. The uncertainty of the fuel assembly decay heat and isotopic densities is quantified with respect to three different groups of diverse parameters: nuclear data, assembly design, and reactor core operation. The uncertainty propagation is conducted using a two-step analysis code system comprising the lattice code STREAM, nodal code RAST-K, and spent nuclear fuel module SNF through the random sampling of microscopic cross-sections, fuel rod sizes, number densities, reactor core total power, and temperature distributions. Overall, the statistical analysis of the calculated samples demonstrates that the decay heat uncertainty decreases with the cooling time. The nuclear data and assembly design parameters are proven to be the largest contributors to the decay heat uncertainty, whereas the reactor core power and inlet coolant temperature have a minor effect. The majority of the decay heat uncertainties are delivered by a small number of isotopes such as ²⁴¹Am, ¹³⁷Ba, ²⁴⁴Cm, ²³⁸Pu, and ⁹⁰Y.

• 한국과학교육학회지
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• 제31권1호
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• pp.115-127
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• 2011

본 연구에서는 탐구 기능 가운데 자료 수집, 자료처리, 자료 해석과 관련하여 실험보고서 분석틀을 개발하였다. 또한 개발한 분석틀을 대학생들의 보고서 분석에 적용하여 오차와 불확도 개념을 중심으로 대학생들이 보고서 작성에서 어려움을 겪고 있는가에대해 알아보았다. 물리실험 수업을 수강한 30명의 학생들에게 실시한 설문지와 학생들이 작성한 실험보고서를 분석하였다. 학생들은 자료 수집과 관련하여 반복 측정에 대해 인식을 하고 있으나 보고서에서는 이를 명확하게 표현하지 못하였다. 극값이나 기울기가급하게 변하면 더욱 정밀한 측정을 해야 하지만 학생들은 이 부분에서도 어려움을 지니고 있었다. 특히, 오차와 불확도와 관련하여 학생들은 많은 어려움을 표출하고 있었다. 오차와 불확도의 전파에 대한 이해도가 매우 낮은 상태에서 단순한 오차 전파공식도 이용하지 못하는 학생이 많았다. 오차와 불확도를 분석을 통해 자료를 해석하는 과정에서도 많은 어려움을 겪고 있었는데, 오차의 원인들이 결과에 어떻게 영향을 주는지를 정량적으로 분석할 수 있는 학생은 거의 없었다. 반면에 학생 대부분이 오차와 불확도 분석이 중요하다고 응답하였다. 학생들이 중요성을 인식하고 있으나 올바른 개념을 지니지 못하여 보고서 작성에서 어려움을 겪고 있다는 결론을 내릴 수 있었다. 실험 수업에서 보고서를 통해 과학적 의사소통을 해야하는 학생들에게 물리 개념뿐만 아니라 자료를 수집하고 처리하고 해석하는 데 필요한 기본 개념에 대한 교육이 필요할 것이다.

• 유통과학연구
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• 제9권2호
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• pp.123-129
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• 2011

The restaurant franchise industry is one that could benefit significantly from the use of intranet technology, from its potential for improving communications between franchisors and franchisees, to providing easier inventory and ordering processes. However, there is a level of trepidation among potential users about whether the technology would improve their work performance. This study sought to examine the relationships between perceived uncertainty and perceived usefulness of intranet technology in the restaurant franchise industry. Through a review of available literature, 10 sub-dimensions of perceived uncertainty (Duncan, 1972) and six sub-dimensions of perceived usefulness (Davis, 1989) were derived. Canonical correlation analysis was used to examine the relationships between these concepts using data collected from 163 franchising restaurant managers in South Korea. Findings from the data analysis demonstrates two negative factors and one positive factor in perceived uncertainty that influence perceived usefulness, thus offering some implications of what to consider when implementing an intranet system in a restaurant franchise.

• Journal of Information Technology Applications and Management
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• 제15권1호
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• pp.43-65
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• 2008

This study investigates the effects of business environment on the e-business strategy and performance of venture firms. The development of the research model is based on the empirical studies on the strategy literature. The data from the survey was analyzed using Partial Least Squares(PLS). For Daedeok Valley Venture Firms, product innovation differentiation strategy is affected by environmental uncertainty. And, cost leadership strategy tend to be influence by environmental uncertainty. Finally, venture firm's performance is effected by cost leadership strategy and marketing differentiation strategy. However, for in Hsinchu Science Park Venture Firms, product innovation differentiation strategy is affected by environmental uncertainty and heterogeneity. And, marketing differentiation strategy is enhanced by environment uncertainty and industry growth. In addition, cost leadership strategy tend to be influence by environmental uncertainty and heterogeneity. Finally, venture firm's performance is effected by cost leadership strategy and product innovation differentiation strategy.

• Structural Engineering and Mechanics
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• 제46권3호
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• pp.433-445
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• 2013

Vibration-based structural identification has become an important tool for structural health monitoring and safety evaluation. However, various kinds of uncertainties (e.g., observation noise) involved in the field test data obstruct automation system identification for accurate and fast structural safety evaluation. A practical way including a data preprocessing procedure and a vector backward auto-regressive (VBAR) method has been investigated for practical bridge identification. The data preprocessing procedure serves to improve the data quality, which consists of multi-level uncertainty mitigation techniques. The VBAR method provides a determinative way to automatically distinguish structural modes from extraneous modes arising from uncertainty. Ambient test data of a cantilever beam is investigated to demonstrate how the proposed method automatically interprets vibration data for structural modal estimation. Especially, structural identification of a truss bridge using field test data is also performed to study the effectiveness of the proposed method for real bridge identification.

• Nuclear Engineering and Technology
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• 제46권3호
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• pp.313-342
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• 2014

A Nuclear Energy Agency (NEA), Organization for Economic Co-operation and Development (OECD) benchmark for Uncertainty Analysis in Modeling (UAM) is defined in order to facilitate the development and validation of available uncertainty analysis and sensitivity analysis methods for best-estimate Light water Reactor (LWR) design and safety calculations. The benchmark has been named the OECD/NEA UAM-LWR benchmark, and has been divided into three phases each of which focuses on a different portion of the uncertainty propagation in LWR multi-physics and multi-scale analysis. Several different reactor cases are modeled at various phases of a reactor calculation. This paper discusses Phase I, known as the "Neutronics Phase", which is devoted mostly to the propagation of nuclear data (cross-section) uncertainty throughout steady-state stand-alone neutronics core calculations. Three reactor systems (for which design, operation and measured data are available) are rigorously studied in this benchmark: Peach Bottom Unit 2 BWR, Three Mile Island Unit 1 PWR, and VVER-1000 Kozloduy-6/Kalinin-3. Additional measured data is analyzed such as the KRITZ LEU criticality experiments and the SNEAK-7A and 7B experiments of the Karlsruhe Fast Critical Facility. Analyzed results include the top five neutron-nuclide reactions, which contribute the most to the prediction uncertainty in keff, as well as the uncertainty in key parameters of neutronics analysis such as microscopic and macroscopic cross-sections, six-group decay constants, assembly discontinuity factors, and axial and radial core power distributions. Conclusions are drawn regarding where further studies should be done to reduce uncertainties in key nuclide reaction uncertainties (i.e.: $^{238}U$ radiative capture and inelastic scattering (n, n') as well as the average number of neutrons released per fission event of $^{239}Pu$).

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2022년도 학술발표회
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• pp.208-208
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• 2022

Recently, the frequency of abnormal weather due to complex factors such as global warming is increasing frequently. From the past rainfall patterns, it is evident that climate change is causing irregular rainfall patterns. This phenomenon causes difficulty in predicting rainfall and makes it difficult to prevent and cope with natural disasters, casuing human and property damages. Therefore, accurate rainfall estimation and rainfall occurrence time prediction could be one of the ways to prevent and mitigate damage caused by flood and drought disasters. However, rainfall prediction has a lot of uncertainty, so it is necessary to understand and reduce this uncertainty. In addition, when accurate rainfall prediction is applied to the rainfall-runoff model, the accuracy of the runoff prediction can be improved. In this regard, this study aims to increase the reliability of rainfall prediction by analyzing the uncertainty of the Korean rainfall ensemble prediction data and the outflow analysis model using the Limited Area ENsemble (LENS) and the Grid based Rainfall-runoff Model (GRM) models. First, the possibility of improving rainfall prediction ability is reviewed using the QM (Quantile Mapping) technique among the bias correction techniques. Then, the GRM parameter calibration was performed twice, and the likelihood-parameter applicability evaluation and uncertainty analysis were performed using R², NSE, PBIAS, and Log-normal. The rainfall prediction data were applied to the rainfall-runoff model and evaluated before and after calibration. It is expected that more reliable flood prediction will be possible by reducing uncertainty in rainfall ensemble data when applying to the runoff model in selecting behavioral models for user uncertainty analysis. Also, it can be used as a basis of flood prediction research by integrating other parameters such as geological characteristics and rainfall events.

• 한국수자원학회논문집
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• 제42권10호
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• pp.773-783
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• 2009

강우유출모형의 입력 자료로 사용되는 강우 관측 자료의 불확실성이 유량예측에 미치는 영향을 분석하기 위하여 모형변수 검정의 불확실성 연구에서 사용하는 GLUE (Generalized Likelihood Uncertainty Estimation)방법을 입력 자료 부분으로 확장하여 적용 하였다. 독일의 Weida 유역의 강우 관측 자료를 바탕으로 구조적 및 비구조적인 불확실성 부분을 각각 구조적인 오차 수정 과정과 DUE (Data Uncertainty Engine)을 통하여 강우자료를 구성하였다. 이를 유역의 수문학적 작용을 고려하기 위해 선정한 집중형 강우유출모형, PDM (Probability Distribution Model)에 MC (Monte Carlo)와 GLUE 방법을 활용하여 적용하였다. MC검정변수들의 검정 후 반응 표면(Posterior response surface)을 검토하고 GLUE 의 반응검정 모형변수(Behavioural model parameter set)를 선택, 간략한 GLUE 유량곡선들을 계산하였다. 계산된 GLUE 유량곡선들을 모두 합하여 앙상블 유량을 산정하고, 이 유량의 90 분위를 강우량자료 및 모형변수 검정의 불확실성을 고려한 신뢰구간으로 제시하였다. PDM 모형의 결과는 유량곡선의 전구간에서 안정적인 모의 능력을 보여주고 있으나, 첨두유량 부분이 적게 산정되는 문제점을 보이고 있다. 본 연구에서 상대적으로 적은 수의 강우 시나리오 및 반응검정 모형변수의 적용이라는 한계에도 불구하고, GLUE 방법을 강우관측자료의 불확실성 부분으로 확장하여 강우자료 및 변수 검정의 불확실성을 고려한 모의된 유량예측의 신뢰구간의 적용가능성을 보여주고 있다.