• The Mathematical Education
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• v.58 no.1
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• pp.41-54
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• 2019

The purpose of this study was to examine the effects of career identity on learning persistence and academic achievement, and mediating effect of utility value. To examine the effect of mediating role of utility value, we divided utility value into two types, utility value of daily matters and utility value of career. This study was conducted on 228 senior students in high school, to investigate relations among career identity, utility value, learning persistence and academic achievement in mathematics, by using the structural equation model. The results are as follows. First, career identity positively predicted learning persistence in mathematics. Second, career identity positively predicted the utility value of daily matters and career. Third, both type of utility value in mathematics positively predicted learning persistence in mathematics. Fourth, the utility value of daily matters and career, in mathematics subjects, showed differential predictability toward learning persistence and academic achievement. Both type of utility value in mathematics positively predicted learning persistence, but showed differential predictability toward learning academic achievement. Specifically, the utility value of daily matters in the near future did not predict the academic achievement, but the utility value of career in the distant future positively predicted the academic achievement. Fifth, the utility value was found to play a mediating role in the relationship between career identity and learning persistence. Based on the results of this study, implications for mathematics education were discussed.

• Journal of Environmental Impact Assessment
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• v.7 no.1
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• pp.63-70
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• 1998

TCM has been used for many environmental impact assessments in Korea. But there was reported that an error was found in area source calculation of original TCM and modified. In this study, TUM(TCM-urban mode) and TRM(TCM-rural mode) were developed for urban and rural area by modification of original TCM. McElroy-Pooler dispersion parameter was used for area and point source in TUM, Pasquill-Gifford parameter was used for area and point source in TRM. And Irwin's vertical wind speed profile exponents were used for TUM and TRM. Then predicted value by TUM, TRM and a value from the same area and point data by CDM2, ISCLT3 were compared. And it was found that predicted value from point source by TUM, TRM was very similar to a value by CDM2, ISCLT3, and predicted value from area source by TRM was similar to a value by CDM2, ISCLT3. But predicted value from area: source by TUM was an half lower than a value by CDM2, ISCLT3.

• The KIPS Transactions:PartB
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• v.17B no.4
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• pp.275-286
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• 2010

Reversible watermarking which can preserve the original quality of the digital contents and protect the copyright has been studied actively. Especially, in medical, military, and art fields, the need for reversible watermarking is increasing. This paper proposes a high-capacity reversible watermarking through predicted error expansion and error estimation compensation. Watermark is embedded by expanding the difference histogram between the original value and the predicted value. Differently from previous methods calculating the difference between adjacent pixels, the presented method calculates the difference between the original value and the predicted value, and that increases the number of the histogram value, where the watermark is embedded. As a result, the high capacity is achieved. The inserted watermark is extracted by restoring the histogram between the original value and the predicted value. To prove the performance, the presented algorithm is compared with other previous methods on various test images. The result supports that the presented algorithm has a perfect reversibility, a high image quality, and a high capacity.

• Journal of the Korean Geosynthetics Society
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• v.22 no.2
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• pp.85-92
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• 2023

This paper describes the comparative results of measured and predicted values for the horizontal displacement of earth retaining wall based on two field cases, in order to evaluate the application of lateral earth pressure to earth retaining wall supported by earth anchor in Jeju. The prediction of lateral earth pressure acting on the earth retaining wall was performed by elasto-plastic analysis using Rankine earth pressure, Hong & Yun lateral earth pressure, Terzaghi & Peck modified lateral earth pressure, and Tschebotarioff lateral earth pressure. As a result, the predicted value of the maximum horizontal displacement for site A was about 10 to 12 times greater than the measured value, and in the case of site B, the predicted value was evaluated as about 9 to 12 times greater than the measured value. That is, both sites showed a similar increase rate in the maximum horizontal displacement by the predicted value compared to the measured value. In all field construction cases, the maximum horizontal displacement by measured values occurred in the sedimentary layer, soft rock layer, and clinker layer, and the horizontal displacement distribution was shown in a trapezoidal shape. The maximum horizontal displacement by the predicted value occurred around the clinker layer, and the horizontal displacement distribution was elliptical. In the ground with a clinker layer, the measured value showed a very different horizontal displacement tendency from the predicted value, because the clinker layer exists in the form of a rock layer and continuous layer. In other words, it is unreasonable to apply the existing prediction method, which is overestimated, because the characteristics of the earth pressure distribution in Jeju show a tendency to be quite different from the predicted earth pressure distribution. Therefore, it is necessary to conduct a research on the lateral earth pressure in the realistic Jeju that can secure more economic efficiency.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.15 no.4
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• pp.287-293
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• 2003

This study examined the temperature-dependent regression model of energy consumption based on various measuring period. The methodology employed was to construct temperature-dependent linear regression model of daily energy consumption from one day to three months data-sets and to compare the annual heating energy consumption predicted by these models with actual annual heating energy consumption. Heating energy consumption from a building in Daejon was examined experimentally. From the results, predicted value based on one day experimental data can have error over 100%. But predicted value based on one week experimental data showed error over 30%. And predicted value based on over three months experimental data provides accurate prediction within 6% but it will be required very expensive.

• Advances in concrete construction
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• v.10 no.6
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• pp.527-536
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• 2020

In this study, a process is proposed to calculate analytical correction values for the vertical shortening of all columns on all floors in a high-rise building that minimizes the error between the structural analysis predictions and values measured during construction. The weight ratio and the most probable value were accordingly considered based on the properties of the shortening value analyzed at several points in each construction stage and the distance between these measured points and unmeasured points at which the shortening was predicted. The effective range and shortening value normalization were considered using the column grouping concept. These tools were applied to calculate the error ratio between the predicted and measured values on a floor where a measured point exists, and then determine the estimated error ratio and estimated error value for the unmeasured point using this error ratio. At points on a floor where no measured point exists, the estimated error ratio and the estimated error value were calculated by applying the most probable value considering the weight ratio for the nearest floor where measured points exist. In this manner, the error values and estimated error values can be determined at all points in a structure. Then, the analytical correction value, defined as this error or estimated error value, was applied by adding it to the predicted value. Finally, the adequacy of the proposed correction method was verified against measurements by applying the analytical corrections to all unmeasured points based on the points where the measurement exists.

• Tuberculosis and Respiratory Diseases
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• v.40 no.6
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• pp.638-645
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• 1993

Objectives: The functional effects of pulmonary resection are dependent on the preexisting function of resected and remaining tissue as well as on the compensatory potential of the remaining tissue. Nowadays, large pulmonary resections are usually applied to lung cancer patients often already compromised by chronic lung disease. It is important to evaluate the pulmonary reserve after lung resection preoperatively in the decision of operability and extent of resection. The aim of this study was to evaluate the changes of pulmonary function after pulmonary resection. Methods: 8 lobectomized and 8 pneumonectomized patients were evaluated. The pulmonary function test was performed preoperatively and in immediate postoperative period and thereafter to 5 years at 3 months interval. Results: 1) The pulmonary function 1 week after operation was significantly low compared with predicted values in, lobectomy and pneumonectomy groups(p<0.05), and improved closely to their predicted values 3 months after operation. 2) The FVC was maintained above predicted value at 6-24 months and similar to predicted value thereafter in lobectomy group. In pneumonectomy group, the FVC maintained similar to predicted value at 6-36 months and improved above its predicted value thereafter. 3) The FEV1 was maintained similar to their predicted values from 6 months to 5 years after operation in both groups. 4) The FEV1/FVC did not change in the course of time in both groups. 5) The FEF25-75% was maintained similar to predicted value at 6-60 months after operation in lobectomy group, but it decreased under predicted value after 1 year in pneumonectomy group. 6) The MVV was maintained similar to predicted value at 6-24 months and decrease thereafter in lobectomy group. In pneumonectomy group, the MVV was maintained at 6-60 months after operation. 7) The differeces in the pulmonary function(FVC, FEV1, FEF25-75%, MVV) between two groups were seen only at 6 months after operation(p<0.05). Conclusion: The pulmonary function was markedly decreased immediately after operation, improved similar to predicted value at 1-3 months, highest at 6 months, and maintained similar to the predicted value to 5 years after pulmonary resection. The difference in the pulmonary function between two groups was the most at 6 months after operation.

• The Journal of Internal Korean Medicine
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• v.26 no.3
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• pp.587-595
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• 2005

Objectives : The object of this study was to evaluate repeatability of portable spirometry and to determine an appropriate equation for predicted value. Materials and Methods : The subjects were 76 men and 45 women recruited from among Kyunghee University oriental medical students. Portable spirometry was performed via the procedure recommended in ATS guidelines. Repeatability of spirometry was checked against ATS repeatability standards and NHLEP QC grade. Percentage of predicted value of non-smokers was calculated through a Caucasian population-based regression equation(by Morris et al.) and Korean population based regression equation(by Kim et al.). These were compared. Result : 91.7% of subjects matched repeatability standards of ATS and 95% of subjects got interpretable NHLEP QC grades of A, B, and C. Mean percentage of predicted value by Morris et al. were as follows: Mean of FVC% was 90.86, FEV1% was 96.66, FEV1/FVC% was 107.48. Mean percentage of predicted value by Kim et al. were as follows. Mean FVC% was 92.38, FEV1% was 89.77, FEV1/FVC% was 96.95. Conclusions : Results of this study show that more than 90% of subjects meet repeatability criteria. This supports a role for the portable spirometer as a primary oriental medical office tool. Further, results are a verify that they Korean population-based predicted value equation is a more appropriate standard than the Caucasian population-based one, but a still more accurate standard is needed for the Korean adult population.

• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.49-57
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• 2020

This study predicts the ratio of added value, which represents the competitiveness of export industries in South Korea, using various machine learning techniques. To enhance the accuracy and stability of prediction, forecast combination technique was applied to predicted values of machine learning techniques. In particular, this study improved the efficiency of the prediction process by selecting key variables out of many variables using recursive feature elimination method and applying them to machine learning techniques. As a result, it was found that the predicted value by the forecast combination method was closer to the actual value than the predicted values of the machine learning techniques. In addition, the forecast combination method showed stable prediction results unlike volatile predicted values by machine learning techniques.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 2000.04a
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• pp.206-209
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• 2000

Groove pressing which is analogous to groove rolling in the aspect of deformation mode was designed and influence of the uncommon shear deformation on the development of texture and R value was investigated. Texture developed by the groove pressing were measured as well as predicted. It was found out that the main component in the developed texture was {40。, 45。, 0。} in ODF which was regarded as a rotated Bs component and rarely observed in a plain rolling. The maximum R value was predicted to be 3.8 in 45。 direction which might be attributed to the new component.