• Journal of the Korean Applied Science and Technology
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• v.40 no.1
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• pp.160-167
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• 2023

The purpose of this study was to find out the learning effect of applying problem-based learning in esthetic major education at universities and to provide basic data for developing teaching and learning methods that can strengthen competitiveness in esthetic education. Therefore, this study conducted an empirical educational effect analysis by applying PBL classes to 15 students taking oriental therapy, a esthetic major course opened at H University. As a result, the average value of learners' problem-solving ability and cooperative self-efficacy increased after participating in PBL classes, and the effectiveness of PBL teaching and learning methods was confirmed, suggesting effective teaching and learning methods to increase learners' problem-solving ability and cooperative self-efficacy in the field of esthetic.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.328-328
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• 2023

표준강수지수(Standardized Precipitation Index, SPI)는 강수량 변동의 정도를 표준화하여 나타낸 지수로, 가뭄 평가에 적용되고 있다. 일반적으로 SPI를 산정할 때는 월 단위의 시간 척도를 적용하며, 장기간의 가뭄에 대해 평가한다. 그러나 시간 척도가 길어질수록 가뭄 발생 후 가뭄을 감지하는 데 걸리는 시간이 더 길어지기 때문에 대처가 더욱 어려워진다. 또한, 기후변화로 인해 가뭄 빈도가 증가하고, 그 정도가 더욱 심화되면서 일 단위의 적용이 필요해지고 있다. 본 연구는 한반도 남부지역을 대상으로 일 단위의 SPI 적용을 위한 최소 시간 척도를 조사하였다. 대상 지역을 강원권, 수도권, 부울경, 대경권, 호남권, 충청권의 총 6개 지역으로 분리하여, 각 지역별, 계절별 최소 시간 척도를 조사하였다. SPI 산정을 위해 후보 분포형으로 Gumbel, Gamma, GEV, Loglogistic, Lognormal, Weibull을 적용하였으며, 시간 척도는 5일부터 365일까지 총 10개로 설정하였다. 본 연구에선 크게 적합도 검정과 정규성 검정으로 진행하였다. 적합도 검정에서는 Chi-square test를 적용하였으며, 이때 일 단위의 짧은 시간 척도를 적용할 경우 누가 강수 시계열의 값이 0으로, 0값이 시계열에 포함되면 SPI의 정확도가 떨어지는 문제가 발생하는데, 이를 보완하기 위해 누가 강수 시계열의 0값을 고려하였다. 마지막으로 각 후보 분포형을 적용하여 산정된 SPI가 표준정규분포에 합당한지를 검증하기 위해 Anderson-Darling test를 수행하였다. 결과적으로 대부분의 지역에서는 봄과 여름의 경우 최소 15일 정도의 시간 척도까지는 적용할 수 있을 것으로 판단되며, 겨울의 경우는 최소 30일 정도의 시간 척도를 적용해야 함을 확인하였다. 지역별로 차이가 크진 않지만, 이러한 연구 결과를 참고하여 각 지역별로 더 나은 가뭄 대책을 마련할 수 있을 것으로 기대된다.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.28 no.4
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• pp.462-468
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• 1983

Collected 38 colored soybeans, which was cultivated under the conventional field conditions, were investigated about their organeloptic parameters and correlations among factors such as organeloptic score, texturometer parameters and chemical components of seeds. Most of the organeloptic parameters were affect much more by the characteristics of each cultivars than by grain weight, and then showed significant differences with the effect of interactinon between grain weight and cultivar, too. Also among contribution degrees of texturometer scores to overall acceptance, cohesiveness was higher in small, medium and super grains, however in large grains, hardness. And among sensory attributes, suitable toughness was contribute most positively to acceptance.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.1C
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• pp.9-17
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• 2008

In this research, an analytical solution for the coefficient of permeability of soils during consolidation is suggested. The pore pressure and the flow rate measurements at different locations during consolidation are utilized. The void ratio and volume compressibility of soils under consolidation are also estimated. A large consolidation testing device, possible in both vertical and radial drainage is designed and manufactured. And consolidation test with kaolinite soils were performed under radially inward drainage direction. Pore pressures in varying radial distances and flow rate with time were measured as well as vertical deformations. From the test results, the changes of permeability, volume compressibility and void ratio under consolidation and their spatial variations are estimated. Thus the proposed solution is verified by comparing with the experimentally estimated test results. In addition, it is confirmed that permeability, void ratio and volume compressibility decrease as consolidation and loading steps progress. Also, these soil characteristics increase with radial distant from drainage boundary, where lowest values observed, and slightly decrease as approaching undrained boundary.

• Journal of the Korean Society of Physical Medicine
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• v.18 no.4
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• pp.155-162
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• 2023

PURPOSE: The primary objective of this study was to develop a virtual reality-based vestibular rehabilitation system to enhance balance perception, target rehabilitation specialists, and evaluate its usability. A key goal was establishing a system refinement strategy based on the collected data. METHODS: We conducted a study involving ten adults aged 10 to 29 in Gwangju Metropolitan City to evaluate the usability of a virtual reality-based vestibular rehabilitation system to enhance balance perception. After introducing the product and explaining its use to the participants, balance assessments and training were conducted using computerized dynamic posturography (CDP) (also called the test of balance [TOB]). Subsequently, participants were given a questionnaire to evaluate subjective stability, operability, and satisfaction. Frequency analysis was utilized to determine the frequency of the variable values of the measurement items in the survey for descriptive statistics. RESULTS: We found that the average usability score was 2.587. When broken down by category, stability received an average rating of 2.725, operability scored an average of 2.783, and satisfaction averaged 2.454. These findings suggest that most participants experienced positive sentiments and considerable satisfaction. CONCLUSION: The study successfully developed a virtual reality-based vestibular rehabilitation system, which was an improvement over the previous model and addressed its shortcomings. The results show that users with vestibular impairments are satisfied and more engaged with this system, indicating that additional studies are warranted.

• Journal of the Korean Society of Food Culture
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• v.38 no.5
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• pp.293-303
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• 2023

This study aimed to determine the association between household types and healthy dietary practices among Korean adults. A cross-sectional analysis was performed using nationwide data on 23,488 participants from the 2017-2021 Korea National Health and Nutrition Examination Survey (KNHANES). Based on self-reported data, the participant household types were classified into single- and multi-person households. The adjusted odds ratios (AORs) and 95% confidence intervals (CIs) for healthy dietary practices according to household types were calculated by applying multivariable logistic regression analysis after adjusting for confounders. Of total, 11.21% and 88.79% were single- and multi-person households, respectively. Compared with individuals living in multi-person households, those in single-person households had lower odds of adhering to healthy dietary practices (AOR: 0.88, 95% CI: 0.79-0.98) and consuming adequate saturated fatty acids (<7% of energy) (AOR: 0.78, 95% CI: 0.69-0.88). In addition, men and individuals aged ≥65 years living in single-person households exhibited lower odds of consuming adequate saturated fatty acids and ≥500 g of fruit and vegetables per day than those in multi-person households. Single-person households often find it a challenge to practice a healthy diet. Hence, nutritional policies and educational support that help individuals living alone consume healthier diets are warranted.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.6
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• pp.1307-1312
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• 2023

In this paper, we propose a hybrid camera system that combines cameras with different focal lengths and LiDAR (Light Detection and Ranging) sensors to address the core components of autonomous driving perception technology, which include object recognition and distance measurement. We extract objects within the scene and generate precise location and distance information for these objects using the proposed hybrid camera system. Initially, we employ the YOLO7 algorithm, widely utilized in the field of autonomous driving due to its advantages of fast computation, high accuracy, and real-time processing, for object recognition within the scene. Subsequently, we use multi-focal cameras to create depth maps to generate object positions and distance information. To enhance distance accuracy, we integrate the 3D distance information obtained from LiDAR sensors with the generated depth maps. In this paper, we introduce not only an autonomous vehicle platform capable of more accurately perceiving its surroundings during operation based on the proposed hybrid camera system, but also provide precise 3D spatial location and distance information. We anticipate that this will improve the safety and efficiency of autonomous vehicles.

• Information Systems Review
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• v.22 no.3
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• pp.31-58
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• 2020

Based on the social control theory, this study intends to find out the influential factors of organizational members' information security policy compliance (ISPC). Survey data from 195 military officers were analyzed to examine the effect of ethical disposition (morality, responsibility, the perceived value of ethical education) and perceived work environment (relationships with supervisors, overwork, and pay satisfaction) on ISPC attitude, ISPC intention, and turnover intention. The results of partial least squares structural equation modeling (PLS-SEM) show that ethical dispositions affect ISPC attitude and that work environments (except for pay satisfaction) affect turnover intention. In addition, ISPC attitude significantly mediates relations between ethical disposition and ISPC intention, between relationships with supervisors and ISPC intention, and between turnover intention and ISPC intention. These findings suggest that ethical disposition factors can predict an individual's security awareness level, and the ISPC attitude is a significant variable in the organizational security context.

• Smart Media Journal
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• v.12 no.11
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• pp.18-26
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• 2023

The building energy management system (BEMS), a system designed to efficiently manage energy production and consumption, aims to address the variable nature of power consumption within buildings due to their physical characteristics, necessitating stable power supply. In this context, accurate prediction of building energy consumption becomes crucial for ensuring reliable power delivery. Recent research has explored various approaches, including time series analysis, statistical analysis, and artificial intelligence, to predict power consumption. This paper analyzes the strengths and weaknesses of the Prophet model, choosing to utilize its advantages such as growth, seasonality, and holiday patterns, while also addressing its limitations related to data complexity and external variables like climatic data. To overcome these challenges, the paper proposes an algorithm that combines the Prophet model's strengths with the gated recurrent unit (GRU) to forecast short-term (2 days) and medium-term (7 days, 15 days, 30 days) building energy consumption. Experimental results demonstrate the superior performance of the proposed approach compared to conventional GRU and Prophet models.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.6
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• pp.1-16
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• 2023

Accurate traffic information prediction is considered to be one of the most important aspects of intelligent transport systems(ITS), as it can be used to guide users of transportation facilities to avoid congested routes. Various deep learning models have been developed for accurate traffic prediction. Recently, ensemble techniques have been utilized to combine the strengths and weaknesses of various models in various ways to improve prediction accuracy and stability. Therefore, in this study, we developed and evaluated a traffic information prediction model using various deep learning models, and evaluated the performance of the developed deep learning models as a stacking ensemble. The individual models showed error rates within 10% for traffic volume prediction and 3% for speed prediction. The ensemble model showed higher accuracy compared to other models when no cross-validation was performed, and when cross-validation was performed, it showed a uniform error rate in long-term forecasting.