• Journal of Environmental Science International
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• v.31 no.10
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• pp.815-824
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• 2022

It is necessary to understand the amount of snowfall and area of snow cover of Mt. Halla to ensure the safety of mountaineers and to protect the ecosystem of Mt. Halla against climate change. However, there are not enough related studies and observation posts for monitoring snow load. Therefore, to supplement the insufficient data, this study proposes an analysis of snow load and snow cover using normalized-difference snow index. Using the images obtained from the Sentinel2 satellite, the normalized-difference snow index image of Mt. Halla could be acquired. This was examined together with the meteorological data obtained from the existing observatory to analyze the change in snow cover for the years 2020 and 2021. The normalized-difference snow index images showed a smaller snow pixel number in 2021 than that in 2020. This study concluded that 2021 may have been warmer than 2020. In the future, it will be necessary to continuously monitor the amount of snow and the snow-covered area of Mt. Halla using the normalized-difference snow index image analysis method.

• Journal of Korea Multimedia Society
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• v.25 no.10
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• pp.1375-1385
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• 2022

In this paper, we propose a semi-supervised domain adaptation solution to deal with practical face recognition (FR) scenarios where a single face image for each target identity (to be recognized) is only available in the training phase. Main goal of the proposed method is to reduce the discrepancy between the target and the source domain face images, which ultimately improves FR performances. The proposed method is based on the Domain Adatation network (DAN) using an MMD loss function to reduce the discrepancy between domains. In order to train more effectively, we develop a novel loss function learning strategy in which MMD loss and cross-entropy loss functions are adopted by using different weights according to the progress of each epoch during the learning. The proposed weight adoptation focuses on the training of the source domain in the initial learning phase to learn facial feature information such as eyes, nose, and mouth. After the initial learning is completed, the resulting feature information is used to training a deep network using the target domain images. To evaluate the effectiveness of the proposed method, FR performances were evaluated with pretrained model trained only with CASIA-webface (source images) and fine-tuned model trained only with FERET's gallery (target images) under the same FR scenarios. The experimental results showed that the proposed semi-supervised domain adaptation can be improved by 24.78% compared to the pre-trained model and 28.42% compared to the fine-tuned model. In addition, the proposed method outperformed other state-of-the-arts domain adaptation approaches by 9.41%.

• Journal of Practical Engineering Education
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• v.14 no.2
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• pp.279-285
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• 2022

In this paper, as a liberal arts course for non-majors, we developed a basic practice case for convolutional neural networks, which is essential for designing a basic convolutional neural network course curriculum. The developed practice case focuses on understanding the working principle of the convolutional neural network and uses a spreadsheet to check the entire visualized process. The developed practice case consisted of generating supervised learning method image training data, implementing the input layer, convolution layer (convolutional layer), pooling layer, and output layer sequentially, and testing the performance of the convolutional neural network on new data. By extending the practice cases developed in this paper, the number of images to be recognized can be expanded, or basic practice cases can be made to create a convolutional neural network that increases the compression rate for high-quality images. Therefore, it can be said that the utility of this convolutional neural network basic practice case is high.

• Journal of Korea Entertainment Industry Association
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• v.15 no.8
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• pp.75-89
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• 2021

In this paper, the results of analyzing the meaning of laughter in comedy movies of the late 1960s, focusing on comedians, Hee-Gap Kim, Bong-Seo Koo and Young-Chun Seo, are as follows. First, the narrative laughter of the comedians represents the generational conflict between the lower class and the upper class, the gender conflict between men and women, and the frustration of reality. Second the mechanism of creating laughter of the comedians shows ridicule of the conservative older generation, revelation of the immoral upper class, and caricature of the frustrated lower class. Third, the practical aspect of the comedians' laughter reveals cracks in tradition and modern, gaps in economic inequality, and expression of prohibited desires. Therefore, comedians Hee-Gap Kim, Bong-Seo Koo and Young-Chun Seo in comedy movies of the late 1960s show the semantic effect of laughter of internal/external boundaries and optimistic world views through the closed opening of informal culture and the conflict of characters/performers.

• Journal of Practical Engineering Education
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• v.14 no.1
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• pp.109-118
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• 2022

The purpose of this study is to derive implications for establishing vocational training education policies in Korea by investigating COVID-19 countermeasures in the United States, Germany, Switzerland, Australia, the United Kingdom, and Singapore, which are representative vocational education training countries. The implications derived from the survey of leading countries in vocational education training are as follows. First, in order to respond to COVID-19, face-to-face vocational education training was quickly converted to online education. Second, the system was strengthened to overcome the crisis of the apprenticeship system, especially the British and Australian governments established a special budget for the apprenticeship system. Third, due to COVID-19, blended learning has become a new standard education model, accelerating the digitalization of vocational education training. Finally, leading countries in vocational education training are promoting the development of the edutech industry to support online education. This provides important implications for the direction of change in vocational education training in South Korea.

• Journal of Practical Engineering Education
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• v.14 no.1
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• pp.49-59
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• 2022

This study was conducted to develop a teaching competency scales customized for teaching programs conducted by Center for Teaching & Learning at A University. To achieve this purpose, a preliminary study was set up, which consists of three competency groups (basic competency, practice competency, innovation competency) and 26 learning competency factors through a review of previous studies. In order to verify the reliability and validity of the provisional teaching competency scales, an online survey was conducted on A university teachers in September 2020, The collected questionnaire data were organized and exploratory factor analysis and confirmatory factor analysis were conducted. As a result of exploratory factor analysis, 26 teaching competency was reduced to 17. As a result of the confirmatory factor analysis, the model was found to be good, Also, as a result of analyzing the construct reliability and AVE of the confirmed teaching competency factors, all 17 factors showed a good level of .7 or more. The teaching competency scales developed through this study can be used as basic data for performance evaluation and development of new programs of CTL teaching program.

• Journal of Korea Entertainment Industry Association
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• v.13 no.4
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• pp.119-129
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• 2019

Traditional speech training in acting education focused on the technical aspects of expressing the lines such as finding long/short syllables in the word, exercising articulation of consonants and vowels, and practicing diction etc. There was a limit on this education to transform written words to vivid verbal words. The lines become live when the actor sees the concrete mental images hidden in the words while speaking the lines. I will bring the knowledge of cognitive brain science and NLP(Neural Linguistic Programming) to investigate what mental images are and why mental images are fundamental elements of thought and emotion. In addition to that, I will examine how the muscles of the body react in the process of visualization of delicate mental images (subordinate form) and how to use the responsive muscles to express speaking materials such as intensity, pause, pitch, intonation etc. Conclusion, I will enumerate the obstacles encountered by actors in the course of practicing mental images, and suggest 'activation of breathing' as a thesis of the follow-up paper to eliminate those obstacles. This process, I intend to make mental images to be the concrete and practical information that can be applied to speak the dialogue in the play.

• Journal of Korea Entertainment Industry Association
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• v.13 no.3
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• pp.169-180
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• 2019

The purpose of this study was to draw theoretical and practical implications applicable to the field through structural equation modeling of internal marketing, organizational trust, customer orientation and job performance to promote spectators of professional football. In order to achieve the aim of this study, we surveyed 12 S. Korea professional football clubs' employees(216 effective sample). Seven hypotheses were verified using frequency analysis, correlation analysis, reliability analysis, confirmatory factor analysis, path analysis and structural equation modeling through SPSS and AMOS statistics. The results are as follows. First, internal marketing had a positive effect on customer orientation. Second, internal marketing had a positive effect on job satisfaction. Third, internal marketing had a positive effect on organizational trust. Fourth, organizational trust had a positive effect on customer orientation. Fifth, organizational trust had a positive effect on job satisfaction. Sixth, organizational trust was found to partially mediate relationship between internal marketing and customer orientation. Seventh, organizational trust was found to partially mediate relationship between internal marketing and job satisfaction.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.6
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• pp.273-283
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• 2016

In this paper, the effect of neurofeedback training program on attention ability of ADHD children is studied. The main concept of a neurofeedback training program is a robot control with brain wave. To do this, Mindset(neurosky, ltd) was used as a brain wave measurement and lego NXT was used to a robot kit. The developed brain wave training program has a 12 chapter. Students meet a problem situation and they invent and make a problem solving robot with NXT kits. After that, they control the their own robot by their brain wave. Developed program was applied to 8 student who live in chunan area. To monitor a change of attention ability, attention behavior checklist, K-CBCL, CTRS-R, ADS were used. These checklist were recorded with before and after the program. The result shows that student attention ability is increase after the program in the most of the checklist.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.753-761
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• 2023

This study investigates strategies to increase learning efficiency for programming subjects to which flipped learning teaching method is applied targeting non-major students. Design a learner-centered flipped learning-based programming class and get strategies for effective application methods for field application. Also, the purpose is to explore the efficient application of the flipped learning teaching method to the computational thinking subject of liberal arts classes at this university. By applying the flipped learning teaching method, one of the innovative teaching methods, we consider ways to improve the quality of programming subject classes, the efficiency of practical education, and the improvement of learner achievement. The purpose of this study is to design an efficient learning model for software education targeting non-majors by applying various teaching methods and learning design models convergence away from the traditional teaching method.