• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.28 no.1
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• pp.169-178
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• 2010

The main purpose of this study is to evaluate the feasibility and the accuracy of ASTER DEM and SRTM DEM covering 99% of the earth surface using large-scale Digital Topographic Map in mountainous area(Sokcho), mixed area(Jinan, mountainous area and even land area) and even land area(Anyang). We made DEM using contour lines of 1:5,000 Digital Topographic Map of study area and also acquired ASTER DEM and SRTM DEM of their corresponding area. In order to verify accuracy of DEM, this study compared ASTER DEM and SRTM DEM data using 15m resolution DEM generated from contour lines of Digital Topographic Map as basis for each study area. To evaluate the accuracy of ASTER and SRTM DEM data, statistical such as RMSE and correlation were calculated and histogram and scatter plot were drawn. The analysis result shows that, both ASTER DEM and SRTM DEM have high accuracy but in aspects of future availability, ASTER DEM covering larger areas bas relatively more potential than SRTM data.

• Advances in pediatric surgery
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• v.20 no.2
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• pp.33-37
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• 2014

Purpose: The purpose of this study was to compare the diagnostic accuracy of the non-invasive diagnostic methods and rectal suction biopsy for the detection of Hirschsprung disease (HD). Methods: We reviewed diagnostic methods and results retrospectively in patients who underwent anorectal manometry, barium enema and rectal suction biopsy for the diagnosis of HD at Asan Medical Center from January 2000 to December 2012. Results: There were 97 patients (59 neonates and 38 infants) in the study period. The overall accuracy of anorectal manometry for the diagnosis of HD was 71.1% and its sensitivity was 51.4% (48.1% in neonate and 62.5% in infant, respectively) and its overall specificity was 82.3% (81.3% in neonate and 83.3% in infant, respectively). The Overall accuracy of barium enema was 66.0% (72.8% in neonate and 55.3% in infant, respectively) and specificity of barium enema was 53.2% (56.3% in neonate and 50.0% in infant, respectively). These results were lower than those of anorectal manometry. The overall sensitivity of barium enema was 88.6% (92.6% in neonate and 75.0% in infant, respectively) and it was higher than the sensitivity of anorectal manometry. Histological studies confirmed HD in 35 patients, in one of whom the suction biopsy showed negative finding. Conclusion: Accuracy of non-invasive methods for diagnosis of HD in our study is lower than those in previous study, so we need to improve the quality of diagnostic tools in our hospital. We conclude that the rectal suction biopsy is the most accurate test for diagnosing HD, so the biopsy to confirm the diagnosis of the HD is very important.

• The Journal of Advanced Prosthodontics
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• v.13 no.2
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• pp.89-99
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• 2021

PURPOSE. This study aimed to compare the accuracy (trueness and precision) of interim crowns fabricated using DLP (digital light processing) according to post-curing time. MATERIALS AND METHODS. A virtual stone study die of the upper right first molar was created using a dental laboratory scanner. After designing interim crowns on the virtual study die and saving them as Standard Triangulated Language files, 30 interim crowns were fabricated using a DLP-type 3D printer. Additively manufactured interim crowns were post-cured using three different time conditions-10-minute post-curing interim crown (10-MPCI), 20-minute post-curing interim crown (20-MPCI), and 30-minute post-curing interim crown (30-MPCI) (n = 10 per group). The scan data of the external and intaglio surfaces were overlapped with reference crown data, and trueness was measured using the best-fit alignment method. In the external and intaglio surface groups (n = 45 per group), precision was measured using a combination formula exclusive to scan data (10C2). Significant differences in accuracy (trueness and precision) data were analyzed using the Kruskal-Wallis H test, and post hoc analysis was performed using the Mann-Whitney U test with Bonferroni correction (α=.05). RESULTS. In the 10-MPCI, 20-MPCI, and 30-MPCI groups, there was a statistically significant difference in the accuracy of the external and intaglio surfaces (P<.05). On the external and intaglio surfaces, the root mean square (RMS) values of trueness and precision were the lowest in the 10-MPCI group. CONCLUSION. Interim crowns with 10-minute post-curing showed high accuracy.

• Journal of the Korean Society of Safety
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• v.37 no.6
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• pp.166-173
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• 2022

A variety of input parameters are taken into consideration while performing a Level 3 PSA. Some parameters related to plume segments, spatial grids, and particle size distribution have flexible input formats. Fine modeling performed by splitting a number of segments or grids may enhance the accuracy of analysis but is time-consuming. Analysis speed is highly important because a considerably large number of calculations is required to handle Level 2 PSA scenarios for a single-unit or multi-unit Level 3 PSA. This study developed a sensitivity analysis supporting interface called MACCSsense to compare the results of the trials of plume segmentation with the results of the base case to determine its impact (in terms of time and accuracy) and to support the development of a modeling approach, which saves calculation time and improves accuracy. MACCSense is an automation tool that uses a large amount of plume segmentation analysis results obtained from MUST Converter and Mr. Manager developed by KAERI to generate a sensitivity report that includes impact (time and accuracy) by comparing them with the base-case result. In this study, various plume segmentation approaches were investigated, and both the accuracy and speed of offsite consequence analysis were evaluated using MACCS as a consequence analysis tool. A simultaneous evaluation revealed that execution time can be reduced using multi-threading. In addition, this study can serve as a framework for the development of a modeling strategy for plume segmentation in order to perform accurate and fast offsite consequence analyses.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.1-7
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• 2022

The study was conducted to determine the effectiveness of the triage training program utilizing pre-and post-training experiments designed for 119 emergency medical services teams. Objectives: This study evaluated the effectiveness of triage training programs on the accuracy of triage performed by 119 emergency medical services team staff who participated in the triage training program. Behavior: Participants in this study included 119 of the 166 EMS staff. In this program, a modified START triage consisting of a 20-minute theoretical presentation was presented to the participants. Data were analyzed using SPSS 21.0. Results: A significant increase in triage accuracy for 119 EMS teams(p<.001). And undertriage showed a significant decrease(p<.001). In addition, overtriage showed a decrease but was not statistically significant. Conclusions: The results obtained from this study showed that the triage training program was effective in improving the accuracy of the triage of multiple injury patients or disaster victims when presented to the 119 emergency medical services team. Therefore, these results suggest that it would be helpful to add triage training to the fire department's formal training program.

• Journal of Korean Society of Rural Planning
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• v.28 no.1
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• pp.57-69
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• 2022

Crop classification is very important for estimating crop yield and figuring out accurate cultivation area. The purpose of this study is to classify crops harvested in fall in Idam-ri, Goesan-gun, Chungcheongbuk-do by using unmanned aerial vehicle (UAV) images and support vector machine (SVM) model. The study proceeded in the order of image acquisition, variable extraction, model building, and evaluation. First, RGB and multispectral image were acquired on September 13, 2021. Independent variables which were applied to Farm-Map, consisted gray level co-occurrence matrix (GLCM)-based texture characteristics by using RGB images, and multispectral reflectance data. The crop classification model was built using texture characteristics and reflectance data, and finally, accuracy evaluation was performed using the error matrix. As a result of the study, the classification model consisted of four types to compare the classification accuracy according to the combination of independent variables. The result of four types of model analysis, recursive feature elimination (RFE) model showed the highest accuracy with an overall accuracy (OA) of 88.64%, Kappa coefficient of 0.84. UAV-based RGB and multispectral images effectively classified cabbage, rice and soybean when the SVM model was applied. The results of this study provided capacity usefully in classifying crops using single-period images. These technologies are expected to improve the accuracy and efficiency of crop cultivation area surveys by supplementing additional data learning, and to provide basic data for estimating crop yields.

• Journal of Korean Academy of Nursing
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• v.18 no.3
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• pp.239-244
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• 1988

The purpose of this study was to identify the accuracy rates(hit ratio) which mean the degree of concordance between pain rating scale differences over time & subjective comparisons. Subjective comparisons mean the responses to the question “how does the pain you are now experiencing compare with the one at the time of the assessment yesterday\ulcorner” Answers to this question were translated into ‘greater’, ‘same’, or ‘less’. KPRS(Korean Pain Rating Scale) was developed through 4 consecutive studies to assess pain extensively & accurately by Lee etc. VAS(Visual Analogue Scale) was reported as valid & veliable measure for the intensity of pain by many researchers. Thirty hospitalized patients with complaints of Headache were partispated in this study during the period from May 1 to July 31, 1987. In conclusion, the accuracy rates of KPRS and VAS were 60%, 67%, respectively.

• Proceedings of the KSPS conference
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• 2006.05a
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• pp.105-108
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• 2006

The purpose of this study was to investigate the diadochokinetic characters in the patients with spastic cerebral palsy(CP) in severity. The diadochokinetic characters were measured through rate, regularity, accuracy and consistency. The subjects participated in this study included 27 persons with spastic CP(mild- 9, moderate- 9, severe- 9) and 9 normal persons who is around 11-20 years old. On the result of this study, rate in AMR was significant difference between all spastic groups and normal group, and rate in SMR was significant difference between normal and mild groups and moderate and severe groups. In regularity of diadochokinetic task, severe group had significant difference the other groups. Finally, accuracy and consistency of diadochokinetic task exhibited significant difference between all spastic groups and normal group.

• Nutritional Sciences
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• v.9 no.3
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• pp.201-211
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• 2006

The purpose of this study was to provide dietitians with the guidance in forecasting meal counts for a university/college foodservice facility. The forecasting methods to be analyzed were the following: naive model 1, 2, and 3; moving average, double moving average, simple exponential smoothing, double exponential smoothing, Holt's, and Winters' methods, and simple linear regression. The accuracy of the forecasting methods was measured using mean squared error and Theil's U-statistic. This study showed how to project meal counts using 10 forecasting methods for dietitians. The results of this study showed that WES was the most accurate forecasting method, followed by $na\ddot{i}ve$ 2 and naive 3 models. However, naive model 2 and 3 were recommended for using by dietitians in university/college dining facilities because of the accuracy and ease of use. In addition, the 2000 spring semester data were better than the 2000 fall semester data to forecast 2001spring semester data.

• Journal of ILASS-Korea
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• v.7 no.3
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• pp.1-6
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• 2002

In this study numerical and experimental study on the spray atomization characteristics of a GDI injector is performed. To carry out numerical analysis, four hybrid models that are composed of conical sheet disintegration model, LISA model, DDB model, and RT model are used. The experimental results to evaluate the prediction accuracy of hybrid models are obtained by using phase Doppler particle analyzer and spray visualization system. It is shown that the prediction accuracy of hybrid model concerning spray developing process and spray tip penetration is good for all hybrid models, but the hybrid breakup models show different prediction of accuracy in the case of local radial SMD distribution.