• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.3
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• pp.298-305
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• 2019

This study was aimed to examine kindergarten teachers' concerns in physical computing, which corresponds to the innovative teaching method, based on CBAM. For this, a questionnaire survey was conducted targeting 118 kindergarten teachers. Percentile analysis and MANOVA using CBAM model were carried out. As a result of the research, the kindergarten teachers' concern level is analyzed to be a critical non-user pattern on the whole. However, a pattern aspect was shown with a slightly high concern in stage 1, stage 2 and stage 3 compared to a typical type, and with a low concern level in stage 4. In consequence of having implemented MANOVA, the private kindergarten teachers' concern level appeared to be significantly high in stage 4 and stage 6 compared to a public kindergarten. Also, compared to the teachers who plan to utilize physical computing from now on, the teachers who don't have a plan of the application had significantly high concern level in stage 0. The concern level score was significantly low in 1~6 stages excluding stage 3.

• (The)Study of the Eastern Classic
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• no.55
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• pp.59-84
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• 2014

This research is an attempt to newly interpret his academic evaluation and understand Seo Kye Bak Se-Dang's Sa Byeun Rok The Doctrine of the Mean. In academic world, his academic Characteristic was considered as anti-Neo-confucianism, out of Jung Ju Hak, out of Seong Ri Hak, and Sil Hak. His understanding of The Doctrine of the Mean was pretty critical, because he had unique academic characteristic to interpret Chinese classics rather than anti-Neo-confucianism, out of Jung Ju Hak, out of Seong Ri Hak, and Sil Hak. Especially, he took practical study with six Chinese classics as the central figure and it was a creative thing with philosophical method. He tried to find out original meaning which was essential thought of Confucianism, and pointed out disharmony for consistency about meaning of The Doctrine of the Mean when Jung Ja and Ju Ja interpreted The Doctrine of the Mean. It appeared as an effort of trying agreement between name and its duty, and role and function in things and act. In addition, he thought The Doctrine of the Mean as trying to follow nature, and it was the way of people to practice in bright side of mind. It is different from Ju Ja's thought which explains principle about people and things, and it has strong reality which is foundation of practice and allows dynamic energy of human life. Therefore, practice style of The Doctrine of the Mean develops filial duty as center of mass and appears manifestation of human's independence through how people pracice it. To sum up, he traced The Doctrine of the Mean as reality, practice, and physical science rather than ideal, theoretical, and metaphysical philosophy. It developed the spirit of study as understanding world as the center of human, thinking over the way of people, and studying the essence of Confucianism with practice of thought.

• The Journal of the Acoustical Society of Korea
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• v.40 no.4
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• pp.297-303
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• 2021

When sound waves propagate over long distances in shallow water, measured transmission loss is greater than predicted one using underwater acoustic model with the Rayleigh reflection model due to inhomogeneity of the bottom. Accordingly, the US Navy predicts sound wave propagation by applying the empirical formula-based High Frequency Bottom Loss (HFBL) model. In this study, the measurement and analysis of transmission loss was conducted using mid-frequency (2.3 kHz, 3 kHz) in the shallow water of the East Sea in summer. BELLHOP eigenray tracing output shows that only sound waves with lower grazing angle than the critical angle propagate long distances for several kilometers or more, and the difference between the predicted transmission loss based on the Rayleigh reflection model and the measured transmission loss tend to increase along the propagation range. By comparing the Rayleigh reflection model and the HFBL model at the high grazing angle region, the bottom province, the input value of the HFBL model, is estimated and BELLHOP transmission loss with HFBL model is compared to measured transmission loss. As a result, it agrees well with the measurements of transmission loss.

• Science of Emotion and Sensibility
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• v.26 no.2
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• pp.85-102
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• 2023

This study aims to examine whether emotional clarity predicts low levels of social interaction anxiety among senior citizens and to verify whether self-esteem and self-efficacy play a critical role as mediators between them. An online survey measuring emotional clarity, social interaction anxiety, self-esteem, and self-efficacy was conducted with 217 Korean senior citizens. The analysis revealed that emotional clarity in old age predicted lower social interaction anxiety. Besides, self-esteem mediated the relationship between emotional clarity and social interaction anxiety, while self-efficacy did not produce consistent results. That is, recognizing one's emotions increases one's self-esteem, which reduces social interaction anxiety, but this mediating effect could not be confirmed through self-efficacy. This result emphasizes that recognizing one's emotions in old age is an important factor in facilitating interaction with others, and shows that individuals can be comfortable in relational situations because emotional clarity increases one's self-esteem. Finally, the implications of this study and the future direction of this research area were discussed.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.9
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• pp.563-571
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• 2018

The purpose of this study is to explore the direction of multicultural mentoring class activities in order to promote the professional growth and critical reflection of student mentors who are undergraduate students from a variety of major. For this purpose, the contents and phenomena of the multicultural mentoring of the mentor - mentee were reported as activity texts, and then seven directions of textuality were applied to explore the direction of multicultural mentoring class activities. As a result, coherence refers to the relationship between the mentor and the mentee for continuing the activities of multicultural mentoring, and cohesiveness refers to the relationship between the mentor and the mentee. It was called the achievement of identity. Intention means that the mentor has an intention or goal for the class before the mentoring activity, and tolerance means that the text produced by the mentor in the multicultural mentoring process is accepted by the mentee. Intentional means that the mentor has intention or goal for the class before the mentoring class activity, and tolerance means having the text as the class activity text when the mentor's text is accepted by the multicultural mentoring class activity process. In the case of informativeness, the information produced by the mentor is less informative when the mentee is predictable and less informative when the predictor is low. In the case of contextuality, contextuality of class activities can be changed according to the physical text situation and the mentee situation in class activity. In case of multicultural mentoring class activity, except for case where mentor creates new class activity text, it is related to the production of class activity texts through mentor learning experiences, peer friends' advice, and education.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.6D
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• pp.839-847
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• 2008

No proper system exists for private investment projects, and efficient project management is not being achieved due to entanglements of management. Recognizing these circumstances, this paper has diagnosed the hard facts that project management organizations and systems are facing, and presented solutions to the factors that are obstructing the establishment of efficient project management system. This paper carried out focus group interviews on the experts who had participated in the Incheon International Airport Railway construction project, using the methodology of an exploratory case study. The results were systematically analyzed according to organizational behavior and causes corresponding to each of the problems were deduced. Private investment projects were divided into task environments and project organizations based on social science methodology and analyzed, and a final improvement plan for each participating organization was presented. An improvement plan was presented, and it was compared with the case study of Incheon bridge construction project, which is recognized as a model of successful project management, and its appropriateness evaluated.

• Journal of Korea Water Resources Association
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• v.56 no.8
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• pp.471-484
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• 2023

Deep learning models based on generative adversarial neural networks are specialized in generating new information based on learned information. The deep generative models (DGMR) model developed by Google DeepMind is an generative adversarial neural network model that generates predictive radar images by learning complex patterns and relationships in large-scale radar image data. In this study, the DGMR model was trained using radar rainfall observation data from the Ministry of Environment, and rainfall prediction was performed using an generative adversarial neural network for a heavy rainfall case in August 2021, and the accuracy was compared with existing prediction techniques. The DGMR generally resembled the observed rainfall in terms of rainfall distribution in the first 60 minutes, but tended to predict a continuous development of rainfall in cases where strong rainfall occurred over the entire area. Statistical evaluation also showed that the DGMR method is an effective rainfall prediction method compared to other methods, with a critical success index of 0.57 to 0.79 and a mean absolute error of 0.57 to 1.36 mm in 1 hour advance prediction. However, the lack of diversity in the generated results sometimes reduces the prediction accuracy, so it is necessary to improve the diversity and to supplement it with rainfall data predicted by a physics-based numerical forecast model to improve the accuracy of the forecast for more than 2 hours in advance.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.637-645
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• 2023

This study was conducted to confirm the meaning and essence of the interpersonal caring experience of nursing students who participated in an enneagram-based care intervention program. The subjects of the study were nine second-year students in the Department of Nursing at a university located in the region, and data were collected from April 25 to August 26, 2022, through interview records, statements, and reflection journals. The collected data were analyzed using Colaizzi's phenomenological method. Results, It appeared in three categories and 10 topic groups 'Recognition through sharing and listening', 'Acceptance through comfort and forgiveness', 'Praise and giving hope through participation and companionship in daily life', While writing a person care reflection journal, you can realize the meaning of care through critical reflection, understand the essence of the person care experience, and confirm the vivid person care experience, and develop the ability to care for people through in-depth reflection on personal experiences, feelings, and deep understanding. As this improved and internalized care, confidence in one's own ability to care increased. Therefore, it is believed that the experience of caring for people based on the Enneagram can be confirmed, the results can be used for learning, and it will be used as educational material to perform people care, contributing to the development of people care education.

• Journal of Marine Bioscience and Biotechnology
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• v.15 no.2
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• pp.82-89
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• 2023

Microalgae, as photosynthetic organisms, possess the ability to produce a diverse array of bioactive compounds. This study focused on the transformant Chlamydomonas reinhardtii dZL and subjected it to cultivation under varying light intensities (60, 120, 180, and 240 µmol/m²/s). Our aim was to assess the impact of light intensity on both microalgal biomass and carotenoid production. The cultivation took place in 80 mL bubble column photobioreactors, specifically the Multi-cultivator. Notably, the culture exposed to 240 µmol/m²/s exhibited the most rapid cell growth, surpassing even the cell concentration achieved at 180 µmol/m²/s by day 8. A detailed analysis of the specific irradiance rate over time unequivocally revealed a sharp decline in growth rates when the rate fell below 2 × 10^-10 µmol/cell/s. Although the culture with 60 µmol/m²/s yielded the highest carotenoid content (1.2% of dry weight), the culture exposed to 240 µmol/m²/s recorded the highest carotenoid concentration at 8.9 mg/L owing to its higher biomass. Our findings reveal the critical importance of maintaining a specific irradiance rate above 2 × 10^-10 µmol/cell/s to enhance biomass and carotenoid productivity. This study lays the groundwork for defining optimal light intensity conditions applicable to mass culture systems, with the objective of augmenting C. reinhardtii biomass and optimizing carotenoid productivity.

• Korean Journal of Radiology
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• v.22 no.11
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• pp.1918-1928
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• 2021

Objective: With the recent development of various MRI-conditional cardiac implantable electronic devices (CIEDs), the accurate identification and characterization of CIEDs have become critical when performing MRI in patients with CIEDs. We aimed to develop and evaluate a deep learning-based algorithm (DLA) that performs the detection and characterization of parameters, including MRI safety, of CIEDs on chest radiograph (CR) in a single step and compare its performance with other related algorithms that were recently developed. Materials and Methods: We developed a DLA (X-ray CIED identification [XCID]) using 9912 CRs of 958 patients with 968 CIEDs comprising 26 model groups from 4 manufacturers obtained between 2014 and 2019 from one hospital. The performance of XCID was tested with an external dataset consisting of 2122 CRs obtained from a different hospital and compared with the performance of two other related algorithms recently reported, including PacemakerID (PID) and Pacemaker identification with neural networks (PPMnn). Results: The overall accuracies of XCID for the manufacturer classification, model group identification, and MRI safety characterization using the internal test dataset were 99.7% (992/995), 97.2% (967/995), and 98.9% (984/995), respectively. These were 95.8% (2033/2122), 85.4% (1813/2122), and 92.2% (1956/2122), respectively, with the external test dataset. In the comparative study, the accuracy for the manufacturer classification was 95.0% (152/160) for XCID and 91.3% for PPMnn (146/160), which was significantly higher than that for PID (80.0%,128/160; p < 0.001 for both). XCID demonstrated a higher accuracy (88.1%; 141/160) than PPMnn (80.0%; 128/160) in identifying model groups (p < 0.001). Conclusion: The remarkable and consistent performance of XCID suggests its applicability for detection, manufacturer and model identification, as well as MRI safety characterization of CIED on CRs. Further studies are warranted to guarantee the safe use of XCID in clinical practice.