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A Study on Effects of AR and VR Assisted Lessons on Immersion in Learning and Academic Stress
한지우 한국인터넷방송통신학회 2018 International Journal of Internet, Broadcasting an Vol.10 No.2
This study investigated the academic stress and the immersion in learning in relation to AR and VR assisted instructions compared to traditional approaches. To that end, 78 8th graders in T and S city in Gangwondo were assigned to experimental and control groups. The experimental group received the VR and AR lessons. The academic stress was measured with the pre- and post-test scores, while the immersion in learning was measured with the post-test scores. In brief, AR and VR assisted lessons made statistically significant differences in the academic stress and immersion in learning in comparison to the traditional approaches.
한지우 한국인터넷방송통신학회 2023 International journal of advanced smart convergenc Vol.12 No.3
The purpose of this study was to investigate the structural relationship between eating habits, physical activity, and subjective health perception, which can affect the mental health status of adolescents, and to examine whether subjective health perception has a mediating effect in these relationships. In this study, raw data from the “17th 2021 Youth Health Behavior Online Survey” were used, and a total of 1,998 people were used for the analysis of Gangwon-do adolescents, except for data with missing values. For analysis, SPSS 25.0 and AMOS 25.0 programs were used to analyze descriptive statistics, t-test, and structural equation models(SEM). Physical activity was found to have a positive and significant effect on mental health status, and subjective health cognition showed the effect of physical activity mediating mental health status.
한지우,조용철,이소영,김상훈,강태구 한국물환경학회 2023 한국물환경학회지 Vol.39 No.1
Climate change causes fluctuations in water quality in the aquatic environment, which can cause changes in water circulation patterns and severe adverse effects on aquatic ecosystems in the future. Therefore, research is needed to predict and respond to water quality changes caused by climate change in advance. In this study, we tried to predict the dissolved oxygen (DO), chlorophyll-a, and turbidity of the Paldang reservoir for about two weeks using long short-term memory (LSTM) and gated recurrent units (GRU), which are deep learning algorithms based on recurrent neural networks. The model was built based on real-time water quality data and meteorological data. The observation period was set from July to September in the summer of 2021 (Period 1) and from March to May in the spring of 2022 (Period 2). We tried to select an algorithm with optimal predictive power for each water quality parameter. In addition, to improve thepredictive power of the model, an important variable extraction technique using random forest was used to select only the important variables as input variables. In both Periods 1 and 2, the predictive power after extracting important variables was further improved. Except for DO in Period 2, GRU was selected as the best model in all water quality parameters. This methodology can be useful for preventive water quality management by identifying the variability of water quality in advance and predicting water quality in a short period.
한지우,조용남,Han, Ji Woo,Jo, Yong Nam 한국재료학회 2019 한국재료학회지 Vol.29 No.12
The self-discharge behavior of zinc-air batteries is a critical issue induced by corrosion and hydrogen evolution reaction (HER) of zinc anode. The corrosion reaction and HER can be controlled by a gelling agent and concentration of potassium hydroxide (KOH) solution. Various concentrations of KOH solution and polyacrylic acid have been used for gel electrolyte. The electrolyte solution is prepared with different concentrations of KOH (6 M, 7 M, 8 M, 9 M). Among studied materials, the cell assembled with 6 M KOH gel electrolyte exhibits the highest specific discharge capacity and poor capacity retention. Whereas, 9 M KOH gel electrolyte shows high capacity retention. However, a large amount of hydrogen gas is evolved with 9 M KOH solution. In general, the increase in concentration is related to ionic conductivity. At concentrations above 7 M, the viscosity increases and the conductivity decreases. As a result, compared to other studied materials, 7 M KOH gel electrolyte is suitable for Zn-air batteries because of its higher capacity retention (92.00 %) and specific discharge capacity (351.80 mAh/g) after 6 hr storage.