• The Journal of Korean Academy of Sensory Integration
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• v.17 no.2
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• pp.41-55
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• 2019

Objective : This study was conducted to validate the content validity of the Korean version of the school setting interview (SSI) that assesses the adequacy of school environments for students aged 9-19. Methods : The Korean version of the SSI, which was completed via a translation-reverse translation process, was verified by conducting a questionnaire on category suitability two times with 35 experts. Results : The content validity index (CVI) for the entire K-SSI tool was .90 in the first test. The "Maps and diagrams" measurement in reading items and the "Taking a shower" measurement in sports activities were both below .75. A second round of verification was conducted after the CVI was modified. As a result, the secondary verification CVI results were further raised to .93. Conclusion : This study confirmed that the K-SSI contains items that are appropriate to Korean culture; it has been proven to have high content validity. Future continuous research and clinical use are required to study the validity and reliability of the K-SSI. Further, this tool should also be applied to students with diverse disabilities who face difficulties in school settings.

• Geophysics and Geophysical Exploration
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• v.24 no.2
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• pp.35-44
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• 2021

As the execution speed of Python is slower than those of other programming languages (e.g., C, C++, and FORTRAN), Python is not considered to be efficient for writing numerical geodynamic code that requires numerous iterations. Recently, many computational techniques, such as the Just-In-Time (JIT) compiler, have been developed to enhance the calculation speed of Python. Here, we developed two-dimensional (2D) numerical geodynamic code that was optimized for the JIT compiler, based on Python. Our code simulates mantle convection by combining the Particle-In-Cell (PIC) scheme and the finite element method (FEM), which are both commonly used in geodynamic modeling. We benchmarked well-known mantle convection problems to evaluate the reliability of our code, which confirmed that the root mean square velocity and Nusselt number obtained from our numerical modeling were consistent with those of the mantle convection problems. The matrix assembly and PIC processes in our code, when run with the JIT compiler, successfully achieved a speed-up 30× and 258× faster than without the JIT compiler, respectively. Our Python-based FEM-PIC code shows the high potential of Python for geodynamic modeling cases that require complex computations.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.26 no.1
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• pp.49-61
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• 2021

The repeated shipboard measurements that have been conducted by the National Institute of Fisheries Science (NIFS) for more than a half century, provide the valuable long-term hydrographic data with high spatial-temporal resolution. However, this unprecedent dataset has been rarely used for oceanic climate sciences because of its reliability issue. In this study, temporal variability of salinity error in the NIFS data was quantified by means of extremely small variability of salinity in the deep layer of the south-western East Sea, in order to contribute to studies on long-term variability of the East Sea. The NIFS salinity errors estimated on the isothermal surfaces of 1℃ have a remarkable temporal variation, such as ~0.160 g/kg in the year of 1961~1980, ~0.060 g/kg in 1981~1994,~0.020 g/kg in 1995~2002, and ~0.010 g/kg in 2003~2014 on average, which basically represent bias error. In the recent years, even though the quality of salinity has been improved, there still remain relatively large bias errors in salinity data presumably due to failure of salinity sensor managements, especially in 2011, 2013, and 2014. On the contrary, the salinity in the year of 2012 was very accurate and stable, whose error was estimated as about 0.001 g/kg comparable to the salinity sensor accuracy. Thus, as long as developing proper data quality control procedures and sensor management systems, I expect that the NIFS shipboard hydrographic data could have good enough quality to support various studies on ocean response to climate variabilities. Additionally, a few points to improve the current NIFS shipboard measurements were suggested in the discussion section.

• Journal of the Korean GEO-environmental Society
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• v.22 no.3
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• pp.45-51
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• 2021

The evaluation of the degree of compaction of the embankment area, which accounts for most of highway earthworks, is generally performed by a flat plate loading test. The plate loading test is a traditional test method and has high reliability in the field. However, as reaction force equipment must be carried out and it takes about 40 minutes per site during the test, there may be limitations in managing the entire expanse of earthworks. Meanwhile, in order to overcome this, the Ministry of Land, Infrastructure and Transport proposed a simple method of evaluating the level of compactness in the provisional guidelines for compaction management of the packaging infrastructure in 2010. However, it has not been utilized at the highway construction site until now, 10 years later. Therefore, this study attempted to verify the utility of the compaction evaluation method using LFWD (Light Falling Weight Deflectometer) of the impact loading method among the test methods suggested in the provisional guideline. To this end, the correlation was derived by conducting a plate loading test and an LFWD test for each site property and compaction degree. As a result of the test, there was no consistency of test data in the ground with a relative compaction of 80% or less. However, it was confirmed that the correlation has a tendency to increase beyond that. If the test method or test equipment is improved to ensure the consistency of the test values of the impact loading method in the future, it will play a big role in solving the blind spot for compaction management in the earthworks.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.567-575
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• 2021

Residents in Dangjin, South Chungcheong Province, in which large-scale emissions facilities such as coal-fired power plants and steel mills are concentrated, are very much concerned about their health despite the local government's aggressive efforts to improve air quality and reduce greenhouse gases. To understand the impact of coal-fired power plants and external factors on local air pollution, the origins of local pollutants were investigated using stable carbon isotopes that are generally used as tracers of the provenance of fine or ultrafine dust. The origins of the pollutants were analyzed with the data library, built using the seasonally measured data for the two separate locations selected considering the distance from the coal-fired power plant and the analysis of previous studies, and with the back trajectory analysis. As a result of analyzing stable isotope ratios, the tendency of high concentration was found in the order of winter > spring > fall > summer. According to the data matching with the library, the mobile pollutants and open-air incineration had a relatively higher impact on the local air pollution. It is believed that this study, as a pilot study, should focus on securing the reliability of the study results through continuous monitoring and data accumulation.

• Journal of the Korean Association of Geographic Information Studies
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• v.24 no.1
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• pp.26-39
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• 2021

This study investigated the characteristics of the watershed and pollutants in the Seonakdong River basin in the lower stream of the Nakdong River Water System, and evaluated the areas vulnerable to nonpoint pollution by subwatershed according to the TOPSIS(Technique for Order of Preference by Similarity to Ideal Solution) method. The selection method consists of selection of evaluation factors, calculation of weights and selection of areas vulnerable to non-point pollution through evaluation factors and weights. The entropy method was used as the weight calculation method and TOPSIS, a multi-criteria decision making(MCDM) method was used as the evaluation method. Indicator data were collected as of 2018, and national pollution source survey data and national statistics were used. Most of the vulnerable watersheds were highly urbanized had a large number of residents and were evaluated as having a large land area among industrial facilities and site area rate. Through this study, it is necessary to approach a variety of weighting methodologies to assess the vulnerability of non-point pollution with high reliability, and scientific analysis of the factors that affect non-point pollution sources and consideration of the effects are necessary.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.59-66
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• 2022

This study was conducted to find out whether excellent and non-excellent players could be distinguished by the achievement goal orientation(task-orientation, ego-orientation) test and the self-management(physical, interpersonal, training, mental management) test targeting youth soccer players. The subject of this study were 299 players(144 middle school students, 155 high school students) including 131 representative players by age and 168 general players who registered with the Korea Football Association. The questionnaires for data collection include the Task & Ego Orientation in Sport Questionnaire(TEOSQ) developed by Duda and Nicholls(1989) and the athlete self-management questionnaire(ASMQ) developed by Heo Jeong-hoon(2003) was used. For data analysis, frequency analysis, factor analysis, reliability analysis, and discriminant analysis were performed using SPSS 23 version. As a result of analyzing the data, task orientation and ego orientation, which are sub-factors of achievement goal orientation, were both confirmed as tests that did not discriminate between excellent and non-excellent players. On the other hand, the self-management test was confirmed as a test that can discriminate between excellent and non-excellent players in body management, training management, and mental management excluding interpersonal management among the sub-factors of self-managemnet. In particular, among self-management, mental management was identified as the most important factor in discriminating between excellent and non-excellent athletes.

• Korean Journal of Agricultural and Forest Meteorology
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• v.23 no.4
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• pp.222-234
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• 2021

Airborne-pests can be introduced into Korea from overseas areas by wind, which can cause considerable damage to major crops. Meteorological models have been used to estimate the wind trajectories of airborne insects. The objective of this study is to analyze the effect of input settings on the prediction of areas where airborne pests arrive by wind. The wind trajectories were predicted using the HYbrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model. The HYSPLIT model was used to track the wind dispersal path of particles under the assumption that brown plant hopper (Nilaparvata lugens) was introduced into Korea from sites where the pest was reported in China. Meteorological input data including instantaneous and average wind speed were generated using meso-scale numerical weather model outputs for the domain where China, Korea, and Japan were included. In addition, the calculation time intervals were set to 1, 30, and 60 minutes for the wind trajectory calculation during early June in 2019 and 2020. It was found that the use of instantaneous and average wind speed data resulted in a considerably large difference between the arrival areas of airborne pests. In contrast, the spatial distribution of arrival areas had a relatively high degree of similarity when the time intervals were set to be 1 minute. Furthermore, these dispersal patterns predicted using the instantaneous wind speed were similar to the regions where the given pest was observed in Korea. These results suggest that the impact assessment of input settings on wind trajectory prediction would be needed to improve the reliability of an approach to predict regions where airborne-pest could be introduced.

• Journal of Korean Dental Hygiene Science
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• v.4 no.2
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• pp.9-18
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• 2021

Background: Based on the individualistic approach of experienced dental hygienists, this study attempted to provide basic data to find effective measures of human resource management by analyzing the correlation between organizational socialization and professional self-concept. Methods: Dental hygienists currently working in the Daegu area were evaluated. Nine questions related to duties, twenty-seven questions related to professional self-concept, and thirty-eight questions related to organizational socialization were included in the study. The reliability was professional self-concept (Cronbach's α = 0.859) and organizational socialization (Cronbach's α = 0.840). Results: Of the total 135 points for professional self-concept, the mean score of the participants was 62.67±8.45 points. In the sub-area, flexibility was the highest at 19.28±2.46 points, and communication was the lowest at 9.69±1.44 points. Of 190 points, organizational socialization averaged at 123.40±12.82 points. In the subarea, personal characteristics were the highest at 30.37±3.71 points, and occupational identity was the lowest at 10.34±1.94. Higher age (F=30.89, p<0.000), marital status (F=10.22, p<0.002), graduate or higher educational qualification (F=9.16, p<0.000), were associated with a higher position (F=20.62, p<0.000) and work experience (F=22.66, p<0.0000), when there was no intention to turnover (F=8.05, p<0.000). Organizational socialization was higher in participants with higher age (F=7.89, p<0.000), educational qualification (F=8.02, p<0.000), and position (F=5.12, p<0.007); higher work experience in general hospital (F=4.50, p<0.012); no intention to turnover (F=7.450, p<0.000); and no intention to turnover (F=24.46, p<0.000). Organizational socialization showed a significant positive correlation with professional self-concept (r=0.721, p<0.000); job performance and skills (r=0.615, p<0.000) and organizational commitment and satisfaction (r=0.610, p<0.000) showed a high positive correlation. Turnover intention (β=0.213, p<0.000) was found to have a significant effect on organizational socialization. Leadership (β=0.168, p<0.05) and satisfaction (β=0.483, p<0.000) were found to have a significant effect. The total explanatory power of this variable was 62.7%. Conclusion: To ensure successful organizational socialization, human resource management should be performed through regular verification, which can result in improved quality of dental care services.

• Journal of the Korea Society of Computer and Information
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• v.27 no.3
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• pp.33-43
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• 2022

In this paper, we propose an ensemble model facilitated by multi-channel palm images with attention U-Net models and pretrained convolutional neural networks (CNNs) for establishing a contactless palm-based user identification system using conventional inexpensive camera sensors. Attention U-Net models are used to extract the areas of interest including hands (i.e., with fingers), palms (i.e., without fingers) and palm lines, which are combined to generate three channels being ped into the ensemble classifier. Then, the proposed palm information-based user identification system predicts the class using the classifier ensemble with three outperforming pre-trained CNN models. The proposed model demonstrates that the proposed model could achieve the classification accuracy, precision, recall, F1-score of 98.60%, 98.61%, 98.61%, 98.61% respectively, which indicate that the proposed model is effective even though we are using very cheap and inexpensive image sensors. We believe that in this COVID-19 pandemic circumstances, the proposed palm-based contactless user identification system can be an alternative, with high safety and reliability, compared with currently overwhelming contact-based systems.