• 대한간호학회지
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• 제30권4호
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• pp.847-856
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• 2000

Parents are primary care taker for the children and have an important role for the assessment and managent of children's pain following surgery. The purpose of the present study was to examine the validity and clinical utilization of the Postoperative Pain Measure for Parents (PPMP) developed by Chambers et al. Subjects were 52 children aged 4-12 years admitted for tonsillectomy and other minor surgery and their mothers. Faces Pain Scale, State Anxiety, and Postoperative Pain Measure for Parents were used. The data were collected by two research assistant on the operation day and 1st day after surgery at hospital during the period of July 20 to August 28, 1998. The results are as follows: 1. Eta correlation coefficient between 15 items of PPMP and child rated pain were calculated. Correlation coefficients were more than .2 for both day. 2. Internal consistency for PPMP were .82 and .83. 3. The scores of the PPMP were 10.73 (SD=3.71) and 9.27(SD=4.07) on the operation day and 1st day after surgery and there was no significant difference between two days(p=.056) On the other hand, there was a significant difference on the child rated pain by Faces Pain Scale between operation day and 1st day after surgery(p=.001). 4. The correlation(Spearman Rho) between PPMP and child rated pain were .40(p=.003) and .56(p=.000). The score of the PPMP and the children's state anxiety were highly correlated on the operation day and 1st day after surgery (.60, .52, p=.000). 5. Partial correlation between PPMP and child rated pain except state anxiety were .18(p=.23) and .48(p=.001) on the opration day and 1st day after surgery. 6. Using a cut-off score 10 out of 15, the measure showed excellent sensitivity (>80%) and moderate specificity (46.15%, 60% ). This study provides preliminary evidence for the use of the PPMP as a valid pain assessment tool with children between the ages of 4-12 years following surgery. It is suggested to explore the validity with a different subjects with other surgery and to examine the validity for infant and younger children.

• Tribology and Lubricants
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• 제18권4호
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• pp.285-290
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• 2002

Integrated condition monitoring is required to monitor effectively the machine conditions since machine failures could not be monitored accurately by any single measurement parameter. Application of various condition monitoring techniques is therefore preferred in many cases in order to diagnosis the machine condition. However it inevitably requires lots of maintenance cost and sometimes it could be proved to over-maintenance unnecessarily. This could happen especially when one measurement parameter closely correlates to another. Therefore correlation analysis of various monitoring parameters has to be performed to improve the reliability of diagnosis. In this work, Pearson correlation coefficient was used to analyze the correlation between condition monitoring parameters of an over-loaded machine system where the vibration, wear and temperature were monitored simultaneously. The result showed that Pearson correlation coefficient could be regarded as a good measure for evaluating the availability of condition monitoring technology.

• International Journal of Air-Conditioning and Refrigeration
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• 제14권3호
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• pp.118-123
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• 2006

A few commonly used correlation equations of the enthalpy of vaporization essential to the analysis of refrigeration cycles are reviewed. A new four-parameter correlation equation is proposed assuming that the enthalpy of vaporization could be represented with a linear form of the temperature and an additional function which slowly decreases as the temperature increases. It is not a common practice to measure the enthalpy of vaporization by experiment; therefore, performance of the new correlation is examined using numeric data from the ASHRAE tables for 22 pure substance refrigerants. The new correlation equation and other existing ones are fitted to the data optimizing the root mean squared deviation. All data points are weighted equally and NBP (normal boiling point) is used as a fixed point since the NBP is important for refrigeration application. The new four-parameter equation yields an average absolute deviation of 0.05% for 22 refrigerants which is smaller than those of other four-parameter equations, such as Guermouche-Vergnaud (0.08%), Aerebrot (0.13%), Radoz-Lyderson (0.08%), and Somayajulu four-parameter equation (0.08%).

• 음성과학
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• 제10권3호
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• pp.29-36
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• 2003

The purposes of this study was to conduct a correlational analysis among $F_^{0}$, Jitter, Shimmer, and NHR (HNR), and NNE estimated by three speech analysis softwares, MDVP, Praat and Dr. Speech. Thirty females and 15 males with normal voice participated in the study. We used Sound Forge 6.0 to record their voice. MDVP, Praat and Dr. Speech were used to measure the acoustic parameters. The Pearson correlation coefficient was determined through a statistical analysis. The results came out as follows: Firstly, there was a strong correlation between $F_^{0}$ and Shimmer of both instruments. However, there was no correlation between Jitter of both instruments. Secondly, Shimmer showed a stronger correlation with HNR, NHR, and NNE than Jitter. Therefore, Shimmer was considered to be more useful and sensitive parameter to identify dysphonic voice compared to jitter.

• 한국윤활학회:학술대회논문집
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• 한국윤활학회 2001년도 제34회 추계학술대회 개최
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• pp.252-259
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• 2001

Integrated condition monitoring is required to monitor effectively the machine conditions since machine failures could not be monitored accurately by any single measurement parameter. Application of various condition monitoring techniques is therefore preferred in many cases in order to diagnosis the machine condition. However it inevitably requires lots of maintenance cost and sometimes it could be proved to over-maintenance unnecessarily. This could happen especially when one measurement parameter closely correlates to another. Therefore correlation analysis of various monitoring parameters has to be performed to improve the reliability of diagnosis. In this work, Pearson correlation coefficient was used to analyze the correlation between condition monitoring parameters of an over-loaded machine system where the vibration, wear and temperature were monitored simultaneously. The result showed that Pearson correlation coefficient could be regarded as a good measure for evaluating the availability of condition monitoring technology.

• Earthquakes and Structures
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• 제11권2호
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• pp.245-264
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• 2016

A suitable ground motion intensity measure (IM) plays a crucial role in the seismic performance assessment of a structure. In this paper, we introduce a scalar IM for use in evaluating the seismic response of single-layer reticulated domes. This IM is defined as the weighted geometric mean of the spectral acceleration ordinates at the periods of the dominant vibration modes of the structure considered, and the modal strain energy ratio of each dominant vibration mode is the corresponding weight. Its applicability and superiority to 11 other existing IMs are firstly investigated in terms of correlation with the nonlinear seismic response, efficiency and sufficiency using the results of incremental dynamic analyses which are performed for a typical single-layer reticulated dome. The hazard computability of this newly proposed IM is also briefly discussed and illustrated. A conclusion is drawn that this dominant vibration mode-based scalar IM has the characteristics of strong correlation, high efficiency, good sufficiency as well as hazard computability, and thereby is appropriate for use in the prediction of seismic response of single-layer reticulated domes.

• 가정과삶의질연구
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• 제32권6호
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• pp.139-154
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• 2014

This study aims to devise a tool which can identify the concept of 'consumption happiness' and to develop a standardized scale to measure consumption happiness. How can we measure consumption happiness? Based on it, the concept and perspective of consumption happiness was formed and then the scale for measuring it was developed. To develop the scale, questions were extracted through a literature survey, an FGI interview was conducted and validity was verified through experts' opinions. Then the scale was developed by conducting a questionnaire survey for consumers. For the analysis of the research, SPSS 20. 0 for Windows and AMOS 17.0 were used and 500 consumers responded to an online survey. In order to examine the general characteristics of the investigation object, the technical statistics of frequency, percentage, average and standard deviation were performed. To develop the research, test-retest correlation, item-to-total correlation, Cronbach's ${\alpha}$ reliability, exploratory factor analysis and confirmatory factor analysis were conducted. The final 20-item consumption happiness scale, which consisted of four factors, was constructed in the end.

• Journal of Biosystems Engineering
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• 제32권3호
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• pp.160-165
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• 2007

This study was conducted to evaluate beef using a color machine vision system. The machine vision system has an advantage to measure larger area than a colorimeter and also could measure other quality factors like distribution of fats. However, the machine vision measurement is affected by system components. To measure the beef color with the machine vision system, the effect of color balancing control was tested and calibration model was developed. Neural network for color calibration which learned reference color patches showed a high correlation with colorimeter in L*a*b* coordinates and had an adaptability at various measurement environments. The trained network showed a very high correlation with the colorimeter when measuring beef color.

• 한국전문물리치료학회지
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• 제11권1호
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• pp.27-34
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• 2004

This study aims to compare the relationship between the Berg Balance Scale (BBS) scores, Timed Up & Go (TUG), Functional Independent Measure (FIM), and subject characteristics. All of the 18 subjects were women between the ages of 68 and 91 (mean=80.2, SD=5.43), and they all lived at the nursing home in Wonju. Balance was measured using BBS, and functional mobility was measured using TUG. FIM was used to evaluate functional independence. Data were analyzed using Spearman correlation. Statistically significant differences were noted between BBS and TUG (r=-.486, p<.05). There were no significant statistical differences between total FIM and BBS, TUG. The FIM items "locomotion" and "communication" showed significant statistical differences between BBS and TUG. The results suggest that FIM may be able to predict dangerous falls in elderly people.

• 대한간호학회지
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• 제34권5호
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• pp.849-858
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• 2004

Purpose: Smoking temptation is the central concept related to relapse within the context of smoking. Therefore :or effective smoking cessation interventions, a scale to measure smoking temptation is necessary. This study was carried out to develop scale to measure smoking temptation. Method: This study utilized Cronbach's alpha, spilt-half coefficient and test-retest correlation in analyzing the reliability of the collected data and expert group, factor analysis, item analysis multitrait-multimethod method and known-group technique to analyze validity. Result: Twenty-five items were selected from a total of 33 items. The Cronbach's alpha coefficient for internal consistency was .93, spilt-half coefficient .91, and 2 week interval test-retest correlation .93 for the 25 items on the smoking temptation scale. Five factors evolved by factor analysis, which explained 57.28 % of the total variance. The smoking temptation scale was effective in differentiating the subjects at each stage of change for smoking cessation and there were significant negative correlations between smoking temptation and self efficacy for smoking cessation and significant positive correlations between smoking temptation and the Fagerstrom Tolerance Questionnaire. Conclusion: The scale for measuring smoking temptation in Korean in this study was evaluated as a tool with a high degree of reliability and validity.