• 제목/요약/키워드: uncertaint

검색결과 3건 처리시간 0.014초

암환자의 질병에 대한 불확실성이 극복력에 미치는 영향에 관한 연구 (Impact of Uncertainty on Resilience in Cancer Patients)

  • 차경숙;김경희
    • 종양간호연구
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    • 제12권2호
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    • pp.139-146
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    • 2012
  • Purpose: This study was designed to identify the impact of uncertainty degree and uncertainty appraisal on cancer patients resilience. Methods: A sample of 181 patients with cancer was recruited from a hospital in Incheon. Data were collected from May 20 to August 25, 2011. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient and multiple regression with the SPSS/WIN 12.0 program. Results: The resilience for cancer patients showed a significant relationship with uncertainty degree and uncertainty appraisal. The significant factors influencing resilience were uncertainty degree and uncertainty appraisal, they explained 26.5% of the variance. Conclusion: Patients with cancer were adversely affected by uncertaint which led to a negative effect on resilience. The result suggests that intervention programs to reduce the level of uncertainty among patients could improve the resilience of cancer patients.

효율성 제고를 위한 근사적 증거병합 방법 (An Approximate Evidence Combination Scheme for Increased Efficiency)

  • 이계성
    • 정보처리학회논문지B
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    • 제9B권1호
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    • pp.17-22
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    • 2002
  • Dempster-Shafer 증거병합 방법의 가장 큰 문제는 계산 복잡도가 지수적인 증가를 갖는다는 점이다. 이는 가설 집단을 이루는 원소의 개수가 각 가설을 이루는 속성 값들의 모든 부분 집합으로 focal 요소로 구성되기 때문이다. 이 문제를 피하기 위해 본 논문에서는 근사적 증거 병합 방법을 제안한다. 이 방법은 간단한 응용에 적용하여 그 성능을 조사하고 다른 증거 병합 방법의 하나인 VBS의 결과와 비교해 본다. 근사적 증거 병합방법은 계산 속도를 크게 개선하였고 전문가가 허용하는 편차 수준에서 신뢰 값을 갖는 것으로 평가되었다.

표준 영상에 의한 FFT 기반 상호상관 PIV 알고리즘의 불확도 해석 (Uncertainty Analysis of Cross-Correlation Algorithm based on FFT by PIV Standard Images)

  • 이석종;최중근;성재용;황태규;도덕희
    • 한국가시화정보학회지
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    • 제3권2호
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    • pp.71-78
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    • 2005
  • Uncertainty introduced by a cross-correlation algorithm based on FFT has been investigated using PIV standard images. The standard images were generated by the Monte Carlo simulation method. Both bias and random errors from the velocity vector have been analyzed with regard to the particle diameter, displacement, and the number of particles. The uncertainty of velocity is evaluated based upon the IS0/IEC standard. As a result, a total error of $0.26\%$ is included in the PIV cross-correlation algorithm. In addition, the uncertainty budget is presented, where the effect of the above three variables is examined. According to the budget, the variation of the number of particles within the interrogation window mainly contributes to the combined standard uncertainty of the real measured velocity field when excluding the effect of errors by the experiments itself. Finally, the expanded uncertainty is found to be about $12\%$ at the $95\%$ confidence level.

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