• Journal of the Korea Computer Graphics Society
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• v.29 no.3
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• pp.137-147
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• 2023

This paper presents a motion-capture-based projection VR system to explore the effectiveness of gamification in improving environmental awareness. We examine the key components of positive and negative VR game content and analyze the impact of individual and cooperative play methods on promoting sustainable behaviors. Our findings are as follows. Firstly, we discovered that the use of positive content in individual play mode was effective in improving awareness of the importance of recycling. Secondly, we confirmed that the use of positive content in cooperative play mode and the use of negative content in individual play mode were each effective in enhancing awareness of the seriousness of environmental pollution. Thirdly, we found that experiencing positive content first, followed by negative content, in individual play mode was effective in increasing interest in the environment. Based on these findings, we determined that adjusting the order of use of positive and negative content is more effective than simply using positive or negative content alone for improving environmental awareness. Moreover, considering the importance of recycling, the seriousness of environmental pollution, and the level of interest in the environment, we confirmed that individual play mode is effective and cooperative play mode can be more effective depending on the measure.

• Proceedings of the Safety Management and Science Conference
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• 2006.04a
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• pp.385-390
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• 2006

Air pollution problem has been one of the most urgent global environmental problems since UN Framework Convention on Climate Change accepted in Rio Conference, 1992. International environmental regulations of global community to reduce the green house gases have influenced the domestic environmental policies. International trends of environmental regulation are introduced in this paper.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2008.10a
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• pp.230-231
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• 2008

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2001.11a
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• pp.138-140
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• 2001

The Earth, along with its major components - land, atmosphere, and oceans, is at the core of the global environmental system. Changes in any component of the Earth thus strongly affect the global and regional environment. With the advent of the new century, many important decisions on agricultural, industrial, societal and political problems will depend upon the Earth's environment. Monitoring the Earth is thus important to capture any sign from the Earth which might be related to the environmental change. (omitted)

• Journal of Environmental Policy
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• v.9 no.2
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• pp.57-81
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• 2010

Recently, labor unions' active participation in social issues is drawing people's attention as their concerns are expanding from the conventional wage raise and employment to others such as the environment and poverty eradication. This derives from the notion that a trade union with bargaining power is also an economic agent responsible and able to take a positive role in social issues. This paper explains through a micro economic analysis model that labor union movements can also contribute to social issues such as the global environment. Based on the international oligopoly trade theory, the study analyzes the principal-agent model whereby firms and labor unions pursue their strategic choices based on their interest and influence the implementation of regulatory policies on pollution emission. The analysis confirmed that labor unions' bargaining power and international cooperation are influential in alleviating global pollution emission and in improving social welfare. This conclusion could be presented as a basis for arguing for and requesting the participation and cooperation of labor unions to solve environmental problems discussed at WILL 2006.

• Journal of the Korea Society of Computer and Information
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• v.27 no.12
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• pp.267-275
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• 2022

This paper proposed a Deep Neural Network Model system utilizing Keras for predicting air pollution risk of the cardiovascular disease through the effect of each component of air on the harmful virus using past air information, with analyzing 18,000 data sets of the Seoul Open Data Plaza. By experiments, the model performed tasks with higher accuracy when using methods of sigmoid, binary_crossentropy, adam, and accuracy through 3 hidden layers with each 8 nodes, resulting in 88.92% accuracy. It is meaningful in that any respiratory disease can utilize the risk prediction system if there are data on the effects of each component of air pollution and fine dust on oil-borne diseases. It can be further developed to provide useful information to companies that produce masks and air purification products.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2010.04a
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• pp.322-326
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• 2010

This study shows that atmospheric TPM concentrations and THg concentrations in precipitation measured in China were higher that those measured in Korea. TPM concentrations and THg concentrations in precipitation during the cold periods were generally higher than those during the warm periods in both China and korea. In China, variations of THg concentration in precipitation during the cold and warm periods were influenced by scavenging of both TPM and RGM. Different from China, in Korea, variations of THg concentration in precipitation during the cold period were also influenced by scavenging of both TPM and RGM; however, those during the warm periods were dominantly governed by scavenging of RGM.

• Particle and aerosol research
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• v.7 no.1
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• pp.1-8
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• 2011

In this study, the formation of nanoparticles by a reaction of ozone with the volatile organic compounds(VOCs) emitted from a commercial home cleaner liquid was investigated using a $1-m^3$ reaction chamber($1{\times}1{\times}1m$). The home cleaner liquid was found to contain many VOCs, particularly terpenes. Some of these VOCs are known to readily react with ozone, forming indoor secondary pollutants. The correlation of particle concentration and reacted ozone concentration was examined with injections of three different ozone concentrations; 50, 100 and 200 ppb. The secondary nanoparticles were formed faster, with their numbers and mass concentrations becoming higher on increasing the concentration of ozone injected.

• Journal of the Korean earth science society
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• v.33 no.7
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• pp.672-682
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• 2012

The purpose of this study is to investigate elementary school science gifted students' perceptions about Earth systems and environmental problems. A total of 28 students in the attached center for science gifted education to the university participated in this study. Through the survey, participating students were asked to respond to their self-reported knowledge level, the perceived danger levels, certainty, and tangibility of the selected 13 Earth environmental problems. The DAET (Draw-An-Earth Test)-Checklist were developed and used to analyze the images of the Earth drawn by students. Additional interviews were conducted to clarify the meanings and components of students' image. Results indicated that a total of 80 components regarding Earth systems, 11 components of Earth systems interaction, and 4 components related to Earth systems literacy were identified through the DAET-Checklist and additional interviews. Regarding the students' self-reported knowledge level, they reported that they were most knowledgeable about air pollution, global warming, and water pollution. and they also recognized global warming, air pollution, and water pollution as the most dangerous problem. Results indicated that participants were certain that acid rain, air pollution, and water pollution were problematic, and that acid rain, air pollution, and forest desertification were tangible issues. It is anticipated that this study contributes to understanding the elementary school science gifted students' perceptions toward the selected Earth systems and environmental problems.

• Journal of Korean Society for Atmospheric Environment
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• v.27 no.3
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• pp.358-366
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• 2011

The purpose of this study was to analyze the monthly and seasonal PM10 data using the Autoregressive Error (ARE) model at the southern part of the Gyeonggi-Do, Pyeongtaek monitoring site in Korea. In the ARE model, six meteorological variables and four pollution variables are used as the explanatory variables. The six meteorological variables are daily maximum temperature, wind speed, amount of cloud, relative humidity, rainfall, and global radiation. The four air pollution variables are sulfur dioxide ($SO_2$), nitrogen dioxide ($NO_2$), carbon monoxide (CO), and ozone ($O_3$). The result shows that monthly ARE models explained about 17~49% of the PM10 concentration. However, the ARE model could be improved if we add the more explanatory variables in the model.