• Korean Journal of Agricultural and Forest Meteorology
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• v.25 no.2
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• pp.80-98
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• 2023

This study explores the effectiveness of various data preprocessing algorithms for improving subseasonal to seasonal (S2S) climate predictions from six climate forecast models and their Multi-Model Ensemble (MME) using a deep learning-based postprocessing model. A pipeline of data transformation algorithms was constructed to convert raw S2S prediction data into the training data processed with several statistical distribution. A dimensionality reduction algorithm for selecting features through rankings of correlation coefficients between the observed and the input data. The training model in the study was designed with TimeDistributed wrapper applied to all convolutional layers of U-Net: The TimeDistributed wrapper allows a U-Net convolutional layer to be directly applied to 5-dimensional time series data while maintaining the time axis of data, but every input should be at least 3D in U-Net. We found that Robust and Standard transformation algorithms are most suitable for improving S2S predictions. The dimensionality reduction based on feature selections did not significantly improve predictions of daily precipitation for six climate models and even worsened predictions of daily maximum and minimum temperatures. While deep learning-based postprocessing was also improved MME S2S precipitation predictions, it did not have a significant effect on temperature predictions, particularly for the lead time of weeks 1 and 2. Further research is needed to develop an optimal deep learning model for improving S2S temperature predictions by testing various models and parameters.

• Applied Chemistry for Engineering
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• v.16 no.5
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• pp.603-608
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• 2005

This study was conducted to investigate particle attrition characteristics in a gas desulfurization using zinc titanate sorbent in a 0.035 m i.d. by 1.34 m height gas fluidized bed reactor. Gas jetting from the distributor and bubbling in the gas fluidized bed were found to be the main causes of particle attrition. The experiment was carried out under a slow attrition rate condition to compare the performance of the batch reactor to that of a continuous reactor. The attrition index (AI) and corrected attrition index (CAI) were measured at various the gas velocity, temperature, pressure, and bed weight, in the gas fluidized bed, during the dexulfurization process. The AI (5) and CAI (5) decreased as the bed weight increased. Particle destruction occurred when the particles started to experience physical fatigue under specific impacts over several iterations. AI (5) and CAI (5) also increased as relative humidity, gas velocity and pressure increased, and as temperature decreased. Particle attrition was mainly affected by gas jetting from the distributor, and abrasion resulted in smaller particles than fragmentation did.

• Journal of Astronomy and Space Sciences
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• v.25 no.2
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• pp.139-148
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• 2008

It has been known that high-speed solar wind streams associated with coronal holes lead to quasi-periodic substorms that occur approximately every $2{\sim}4$ hours. In this paper we examined 222 repetitive substorms that occurred during high-speed stream periods in July through December in 2003 to quantitatively determine a range of energy input from the solar wind into the magnetosphere between two consecutive substorms. For this study, we have used the Akasofu ${\varepsilon}$-parameter to time-integrate it for the interval between two consecutive substorms, and have applied this method to the 222 substorms. We find that the average amount of solar wind input energy between two adjacent substorms is $1.28{\times}10^{14}J$ and about 85% out of the 222 substorms occur after an energy input of $2{\times}10^{13}{\sim}2.3{\times}10^{14}J$. Based on these results, we suggest that it is not practical to predict when a sub storm will occur after a previous one occurs purely based on the solar wind-magnetosphere energy coupling. We provide discussion on several possible factors that may affect determining substorm onset times during high-speed streams.

• Journal of Digital Convergence
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• v.16 no.9
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• pp.301-307
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• 2018

We study convergent influence on depression and its association with self-esteem, fatigue and psychosocial stress among General Hospital Administrative Staff(GHAS). The subjects were 201 randomly extracted GHAS from 9 general hospitals in J City, Data collection was carried out via a structured self-administered questionaries from Jul. 3rd, 2017 to Jul. 29th, 2017. Depression was positively correlated with three sub-domains of fatigue and psychosocial stress, and it was negatively correlated with self-esteem. With the analysis of covariance structure, depression was more influential on self-esteem than fatigue and psychosocial stress. The study found the higher fatigue and psychosocial stress, and the lower self-esteem tend to increase depression. The results indicate that the efforts, to increase self-esteem, and to decrease fatigue and psychosocial stress, are required to decrease the depression of GHAS. The results are expected to be useful for industrial health education and job management to decrease the depression of GHAS. In the following study, the analysis about convergent additional factors of influence on the depression of GHAS will be needed.

• Journal of Elementary Mathematics Education in Korea
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• v.20 no.4
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• pp.717-735
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• 2016

For teaching division-with-remainder(DWR) problems, it is necessary to know students' strategies and errors about DWR problems. The purpose of this study is to investigate and analyze students' strategies and errors of DWR problems and to make some meaningful suggestions for teaching various methods of solving DWR problems. We constructed a test which consists of fifteen DWR problems to investigate students' solving strategies and errors. These problems include mathematical as well as syntactic structures. To apply this test, we selected 177 students from eight elementary schools in various districts of Seoul. The results were analyzed both qualitatively and quantitatively. The sixth graders' strategies can be classified as follows : Single strategies, Multi strategies and Assistant strategies. They used Division(D) strategy, Multiplication(M) strategy, and Additive Approach(A) strategy as sub-strategies. We noticed that frequently used strategies do not coincide with strategies for their success. While students in middle group used Assistant strategies frequently, students in higher group used Single strategies frequently. The sixth graders' errors can be classified as follows : Formula error(F error), Calculation error(C error), Calculation Product error(P error) and Interpretation error(I error). In this study, there were 4 elements for syntaxes in problems : large number, location of divisor and dividend, divisor size, vocabularies. When students in lower group were solving the problems, F errors appeared most frequently. However, in case of higher group, I errors appeared most frequently. Based on these results, we made some didactical suggestions.

• Journal of the Korean Geotechnical Society
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• v.34 no.10
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• pp.29-38
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• 2018

The slime formed at the bottom of the borehole causes the excessive displacement and loss of the bearing capacity of the drilled shaft. In this study, the slime meter is developed for the evaluation of the slime based on the electrical properties of the fluid and the slime in the borehole. The slime meter is composed of a probe instrumented with electrodes and temperature sensor and a frame with rotary encoder, so that the slime meter profiles the electrical resistivity compensated with temperature effect along the depth. For the application of the slime meter, three field tests are conducted at a borehole with a diameter of 3 m and a depth of 46.9 m with different testing time and locations. For all the tests, the experimental results show that while electrical resistivities are constantly measured in the fluid, the electrical resistivities sharply increase at the surface of the slime. Therefore, the slime thicknesses are estimated by the differences in the depths of the slime surface and the ground excavation. The experimental results obtained at the same testing point with different testing time show that the estimated thickness of the slime increases by the elapsed time. Also, the estimated slime at the side of the borehole is thicker than that at the center of the borehole. As the slime meter estimates the slime in the borehole by measuring the electrical resistivity with simple equipment, the slime meter may be effectively used for the evaluation of the slime formed at the bottom of the borehole.

• Investigative Magnetic Resonance Imaging
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• v.13 no.2
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• pp.137-145
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• 2009

Purpose : To compare 12 and 32-element surface coil arrays for highly accelerated coronary magnetic resonance angiography (MRA) using parallel imaging. Materials and Methods : Steady state free precession coronary MRA was performed in 5 healthy volunteers at 1.5 T whole body MR scanner using both 12 and 32-element surface coil arrays. Left anterior descending and right coronary artery data sets were acquired for each volunteer. Data sets were sub-sampled for parallel imaging using reduction factors from 1 to 6. Mean geometry factor (g-factor), maximum g-factor, and artifact level were calculated for each of the two coil arrays. Results : Over all reduction factors, the mean and maximum g-factors and artifact level were significantly reduced using the 32-element array compared to the 12element array (P << 0.1). The mean g-factor was sensitive to the imaging orientations of coronary arteries while the maximum g-factor and artifact level were independent of orientation. Conclusion : The 32-element surface coil array significantly improves artifact and noise suppression for highly accelerated coronary MRA using parallel imaging. The increased acceleration factors made feasible with the 32-element array offer the potential to enhance spatial resolution or increase volumetric coverage for 3D coronary MRA.

• Journal of the Korea Concrete Institute
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• v.16 no.6 s.84
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• pp.851-858
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• 2004

Purpose of this paper is to determine the appropriate size of a center notched disk specimen for mode I fracture toughness $K_{IC}$. For this purpose, mode I test results with various sizes of center notched disk were compared with the RILEM three-point-bend test ones. Compressive strength of concrete used in this paper was 44.9 MPa. Diameters of 200, 300, 400 mm, thickness of 75, 100, 125 mm, and notch length ratios an of 0.3, 0.4, 0.5, 0.6 were used for the mode I disk test. Also, diameter of 300mm thickness of 100mm, and notch length ratios a/R of 0.3, 0.4, 0.5, 0.6 were used for the mixed mode disk test. Mixed mode stress intensity factors were investigated by changing notch angles for the disk specimen. Stress intensity factors of a center notched disk were calculated with the various methods for comparison. From the test results, mode I fracture toughness calculated from the disk specimen with diameter of 300 mm, thickness of Inn and notch length ratio a/R of 0.5 was very similar to the RILEM three-point-bend test ones. And it is verified that stress intensity factors for mixed mode can be easily calculated with the disk specimen.

• Korean Journal of Ecology and Environment
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• v.43 no.3
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• pp.349-355
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• 2010

This study aims at the augmentation of reliability of the long-term rainfall runoff model. To do so agricultural water uses are evaluated by analyzing the effects of small scale irrigational hydraulic structures on long term runoff processes and thereby rainfall-runoff model is modified considering them. As a result the simulation results of the sub-basins having more agricultural reservoirs than the others are disagreed with the observations. The 2nd quarter simulation results show similar trend to it. Especially the farming seasonal results of the drought year as the year of 2008 have many negative discharge values due to the lack of agricultural water uses. This result come from the water uses input data corresponding to not real water uses but water demands. In this study the formulas are derived to estimate the discharges and return ratios and the long term rainfall-runoff model is reformulated based on these. It is confirmed that the errors of the simulation results could be reduced by considering the effects of small scale irrigational hydraulic structures and the reliability of the simulation results improved greatly.

• Journal of Life Science
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• v.20 no.12
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• pp.1867-1871
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• 2010

The purpose of this study was to investigate the effects of 12 weeks of abdominal breathing exercises, through AB spur, on weight and BMI, % body fat, and waist-hip ratio in healthy college students. The subjects consisted of 20 obese young college students, and all of whom had no other health complications. The subjects were shown in detail the proper way to utilize the equipment and practice abdominal breathing in a laboratory setting. They were told to wear the AB spur for at least six hours a day in order to induce abdominal breathing exercise. Because the subjects were students, most of the abdominal breathing exercises took place while they were sitting in lectures at school, and they wore the equipment for 12 weeks. At 4, 8, and 12 weeks after the subjects started using the AB spur, there were significant decreases in weight, % body fat, BMI, and waist-hip ratio (p<0.05). In conclusion, the results of the stud suggest that abdominal breathing exercise may be a good weight loss method, as well as a beneficial way to decrease obesity factors, in obese college students.