• Child Health Nursing Research
• /
• v.8 no.1
• /
• pp.67-76
• /
• 2002

The purpose of this study was to investigate the level of uncertainty and anxiety in families of hospitalized children. Data were collected through self-report questionnaires which were constructed to include parent's perception of uncertainty and state anxiety. The subjects consisted of 126 families of hospitalized children in one university-affiliated hospital in Daegu. The data were analyzed by the SPSS program. The results were as follows; 1. The mean score of uncertainty was 64.70 (Range=31-95). The mean scores of subsets of the uncertainty were followed as: lack of clarity (2.59), unpredictability (2.46), lack of information (2.22) and ambiguity (2.14). 2. The mean score of state anxiety was 47.93 (Range=20-67). 3.The level of uncertainty was positively correlated to the level of state anxiety. 4. The level of anxiety was different depending on their religion and monthly income. The above findings indicated that the level of uncertainty and the state anxiety in families of hospitalized children were positively correlated. Therefore, nursing intervention for reducing uncertainty and anxiety and improving coping method should be provided for families of hospitalized children.

• Journal of Institute of Control, Robotics and Systems
• /
• v.22 no.6
• /
• pp.403-410
• /
• 2016

This paper proposes a robust image-based visual servoing scheme using a nonlinear observer for a monocular eye-in-hand manipulator. The proposed control method is divided into a range estimation phase and a target-tracking phase. In the range estimation phase, the range from the camera to the target is estimated under the non-moving target condition to solve the uncertainty of an interaction matrix. Then, in the target-tracking phase, the feature point uncertainty caused by the unknown motion of the target is estimated and feature point errors converge sufficiently near to zero through compensation for the feature point uncertainty.

• Journal of muscle and joint health
• /
• v.8 no.2
• /
• pp.230-249
• /
• 2001

This study was conducted to investigate the affecting factors on the adaptation to uncertainty in patients having rheumatoid arthritis. Subjects of the study constituted 222 patients who visited outpatient of rheumatic center in Seoul. Self report questionnaires were used to measure the variables affecting the adaptation to uncertainty. The variables affecting the adaptation to uncertainty were uncertainty, mastery, appraisal of danger, appraisal of opportunity, emotion focused coping, problem focused coping, pain, depression and activity of daily life(ADL). Reliability coefficients of these instruments were found Cronbach's $Alpha\;=\;.70{\sim}.94$. In data analysis, SPSSWIN 10.0 program was utilized for descriptive statistics, Pearson's correlation, and multiple regression analysis. The results were as follows. 1) The range of total pain scores was from 0 to 147 and the mean score of the pain in rheumatoid arthritis patients was 72.64. 2) The range of total depression scores was from 20 to 72 and the mean score of the depression in rheumatoid arthritis patients was 39.86. 3) The range of total ADL scores was from 22 to 80 and the mean score of the ADL in rheumatoid arthritis patients was 72.56. 4) Among the independent variables, significant factors to explain the adaptation to pain in patients were danger appraisal of uncertainty(p<.05) and emotion focused coping(p<.05). 5) Among the independent variables, significant factors to explain the adaptation to depression in patients were danger appraisal of uncertainty(p<.001), opportunity appraisal of uncertainty(p<.001) and mastery(p<.005). 6) Among the independent variables, significant factors to explain the adaptation to ADL in patients were mastery(p<.001) and danger appraisal of uncertainty(p<.05).

• Transactions of the Korean Society of Mechanical Engineers B
• /
• v.30 no.12 s.255
• /
• pp.1139-1146
• /
• 2006

Light Oil Flow Standard System(LOFSS) in Korea Research Institute of Standards and Science(KRISS) was designed for oil flowmeter calibration. In order to extend the flow range from 120 $m^3/h$ to 200 $m^3/h$, the build-up technique was applied with two positive displacement flowmeters as master flowmeter. The master flowmeters were calibrated against with LOFSS, which has 0.04 % uncertainty of flow quantity determination, then the test flowmeter is calibrated against two master flowmeters. For uncertainty analysis, the repeatability of master flowmeters, the variation of the fluid density and the pipe volume due to temperature change were scrutinized. The contribution of each uncertainty factors to the calibrator and the correlation of each factors were discussed. For investigating the feasibility of uncertainty analysis, a turbine flowmeter as a transfer package was tested with LOFSS and two reference flowmeter. The hypothesis test for both results was coincide with a 95 % significant level. This means that the uncertainty analysis procedure of the calibrator is reasonable and the extension of flow range with master meters was carry out successfully.

• 제어로봇시스템학회:학술대회논문집
• /
• 1997.10a
• /
• pp.117-119
• /
• 1997

We consider the control design for nonlinear uncertain systems. The uncertainty is mismatched and possibly fast time-varying. Within the suitable range of the uncertainty the control is valid. No statistical information on uncertainty is imposed. Only the possible bound of the uncertain parameter is known and the control design is based on Lyapunov approach.

• Nuclear Engineering and Technology
• /
• v.55 no.9
• /
• pp.3140-3149
• /
• 2023

In theory, the sharp dose falloff at the distal end of a proton beam allows for high conformal dose to the target. However, conformity has not been fully achieved in practice, primarily due to beam range uncertainty, which is approximately 4% and varies slightly across institutions. To address this issue, we developed a new range verification system prototype: a multi-slit prompt-gamma camera (MSPGC). This system features high prompt-gamma detection sensitivity, an advanced range estimation algorithm, and a precise camera positioning system. We evaluated the range measurement precision of the prototype for single spot beams with varying energies, proton quantities, and positions, as well as for spot-scanning proton beams in a simulated SSPT treatment using a phantom. Our results demonstrated high accuracy (<0.4 mm) in range measurement for the tested beam energies and positions. Measurement precision increased significantly with the number of protons, achieving 1% precision with 5 × 10⁸ protons. For spot-scanning proton beams, the prototype ensured more than 5 × 10⁸ protons per spot with a 7 mm or larger spot aggregation, achieving 1% range measurement precision. Based on these findings, we anticipate that the clinical application of the new prototype will reduce range uncertainty (currently approximately 4%) to 1% or less.

• Transactions of the Korean hydrogen and new energy society
• /
• v.32 no.6
• /
• pp.642-648
• /
• 2021

In this paper, an experimental study was conducted on the performance of the cooling tower. In order to improve reliability in the cooling tower performance test, the measurement uncertainty of the instrument was estimated. Measurement uncertainty refers to the uncertainty of a measurement, estimates the range in which the expected value of the measurement can be within a certain confidence level, and suggests a range in which the measured representative value is incorrect. Therefore, the measurement result of the performance experiment is not an actual value, but a reasonable estimated value. The measurement uncertainty for the test was calculated and the measured results were presented.

• Transactions of the Korean hydrogen and new energy society
• /
• v.33 no.6
• /
• pp.838-844
• /
• 2022

In this paper, an experimental study was conducted on the energy efficiency ratio of performance for air source heat pump. The energy efficiency ratio presents the operating efficiency of heat pump performance. In order to improve reliability in the energy efficiency ratio test of air source heat pump, the measurement uncertainty of the instrument was estimated. Measurement uncertainty refers to the uncertainty of a measurement, estimates the range in which the expected value of the measurement can be within a certain confidence level, and suggests a range in which the measured representative value is incorrect. The measurement uncertainty for the energy efficiency ratio test of air source heat pump was calculated and the measured results were presented.

• Journal of Institute of Control, Robotics and Systems
• /
• v.18 no.4
• /
• pp.321-327
• /
• 2012

This paper presents a comparative analysis on three different types of performance indices of obstacle detection for an overlapped ultrasonic sensor ring. Due to beam overlap, the entire sensing zone of each ultrasonic sensor can be divided into three smaller sensing subzones, which leads to significant reduction of positional uncertainty in obstacle detection. First, the positional uncertainty in obstacle detection is expressed in terms of the area of a sensing subzone, and type 1 performance index is then defined as the area ratio of side and center sensing subzones. Second, based on the area of a sensing subzone, type 2 performance index is defined taking into account the size of the entire range of obstacle detection as well as the degree of the positional uncertainty in obstacle detection. Third, the positional uncertainty in obstacle detection is now expressed in terms of the length of the uncertainty arc spanning a sensing subzone, and type 3 performance index is then defined as the average value of the uncertainty arc lengths over the entire range of obstacle detection. Fourth, using a commercial low directivity ultrasonic sensor, the changes of three different performance indices depending on the parameter of an overlapped ultrasonic sensor ring are examined and compared.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 1990.04a
• /
• pp.272-288
• /
• 1990

The uncertainty quantification process in probabilistic Risk Assessment usually involves a specification of the uncertainty in the input data and the propagation of this uncertainty to the final risk results. The distributional sensitivity analysis is to study the impact of the various assumptions made during the quantification of input parameter uncertainties on the final output uncertainty. The uncertainty importance of input parameters, in this case, should reflect the degree of changes in the whole output distribution and not just in a point estimate value. A measure of the uncertainty importance is proposed in the present paper. The measure is called the distributional sensitivity measure(DSM) and explicitly derived from the definition of the Kullback's discrimination information. The DSM is applied to three typical discrimination information. The DSM is applied to three typical cases of input distributional changes: 1) Uncertainty is completely eliminated, 2) Uncertainty range is increased by a factor of 10, and 3) Type of distribution is changed. For all three cases of application, the DSM-based importance ranking agrees very well with the observed changes of output distribution while other statistical parameters are shown to be insensitive.