• Polymer Science and Technology
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• v.23 no.3
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• pp.307-312
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• 2012

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2009.04a
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• pp.316-320
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• 2009

Recently, concerns about conserving proper size of urban green spaces and accessibility are increasing, regarding it as a solution to diverse urban environmental problems including pollution, ecosystem deterioration, urban climate change. Artificial ground greening such as green roofs is regarded as the only alternative that can conserve green spaces which are impossible to be secured on the ground. However, green roofs are not popularized yet and levels are very low in provincial cities despite of related technology development and support systems of related agencies. Based on the background, this study tries to present a theoretical basis of methods for green roofs, conducting green roof simulations and collecting ideas about problems and improving measures from green roof users. Finally, it aims to offer base data which help establish policy direction for activation of green roof technology. As a result of a simulation for verifying temperature reduction effect, it was possible to affirm effect of a plot that green roofs applied. Especially, it was revealed that a green roof method using ground covers such as mixed planting was the most effective way to reduce temperature. Activation methods for green roofs based on this study are as follows: First, it is a priority to readjust systems related to green roofs. Second, citizens' active and voluntary participation must be attained. Third, it is required to establish detailed promotion procedures which aim at actual conduct and to maintain an expert department which is able to manage and control the establishment. After conduct, continuous aftercare stages are also needed.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.23 no.4
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• pp.13-30
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• 2020

This study aims to analyze the qualitative and quantitative effects of environmental policies in terms of green space management using logistic regression model(LRM). Landsat satellite imageries in 1985, 1992, 2000, 2008, and 2015 are classified using a hybrid-classification method. Based on these classified maps, logistic regression model having a deforestation tendency of the past is built. Binary green space change map is used for the dependent variable and four explanatory variables are used: distance from green space, distance from settlements, elevation, and slope. The green space map of 2008 and 2015 is predicted using the constructed model. The conservation effect of Ulsan's environmental policies is quantified through the numerical comparison of green area between the predicted and real data. Time-series analysis of green space showed that restoration and destruction of green space are highly related to human activities rather than natural land transition. The effect of green space management policy was spatially-explicit and brought a significant increase in green space. Furthermore, as a result of quantitative analysis, Ulsan's environmental policy had effects of conserving and restoring 111.75㎢ and 175.45㎢ respectively for the periods of eight and fifteen years. Among four variables, slope was the most determinant factor that accounts for the destruction of green space in the city. This study presents logistic regression model as a way of evaluating the effect of environmental policies that have been practiced in the city. It has its significance in that it allows us a comprehensive understanding of the effect by considering every direct and indirect effect from other domains, such as air and water, on green space. We conclude discussing practicability of implementing environmental policy in terms of green space management with the focus on a non-statutory plan.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.7 no.6
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• pp.49-53
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• 2004

This study was aimed to promote evergreen ferns native to Korea as a material for interior landscape by investigate effects of light quality on the growth of Cyrtomium falcatum and Rumohra aristata, in an indoor environment that artificial light was used, especially. Result of experiments are as follows; 1. Wavelengths were measured as control(=570~580nm), red(=600~610nm), yellow(=550~580nm), green(=500~510nm) and blue(=430~440nm) between different color film. The order of photon flux density was red>yellow>control>green>blue decreased. 2. Although there was no difference in the growth of Cyrtomium falcatum depending on light quality, in case of fronds with sori and new fronds, there were highest under red film. Fresh weight was no significant in all treatments, but dry weight was increased with green>control>yellow>blue>red in order. 3. In case of Rumohra aristata, there was no difference in its growth, however, number of total fronds was highest under green film. Although fresh weight was increased with yellow film, dry weight was highest under green film.

• Journal of Korean Society of Rural Planning
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• v.21 no.3
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• pp.33-45
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• 2015

The oversea export of agricultural-product about item and quantity has not increased recently; especially the fresh-product has a tough issue because of period of production, price large fluctuations, customs clearance, quarantine, and uncertainty about actual locality, we need the information based construction to exchange information quickly about whole range of export and to focus capacity of participation subject for increasing the export. In this study we design the agricultural-product transaction information system based on crowdsourcing to transact the agricultural-product and the information of influencing benefit directly, and the information offering about export-procedure from participation of customs clearance, finance, distribution, buyer, and producer's guild, etc. We expect the producer's guild about agriculture that has not participate the trade to be able to export the agricultural-product and the stabilization of price to transact the product of collapsed or boomed through the agricultural-product information system based on crowdsourcing.

• Journal of the Korean Ceramic Society
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• v.46 no.6
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• pp.627-632
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• 2009

Formaldehyde emissions from the construct was harmful to human. Diatomite, bentonite and zeolite were used as porous materials for fabricating panels. Formaldehyde adsorption and physical characteristics of porous materials were investigated and hydrothermal method was applied to fabricate panels. Formaldehyde adsorption contents of panels with porous materials were higher than that of panel without porous materials. The panels with Cheolwon diatomite and Pohang zeolite showed excellent characteristics of Formaldehyde adsorption. These characteristics were caused by higher surface area and pore volume of porous materials. Formaldehyde adsorption contents were influenced by surface area and pore volume of panels. Correlation coefficient between surface area and Formaldehyde adsorption content of panels was 0.87. The panels with porous materials had higher strength than that without porous materials because of bridging role particles.

• Proceedings of the Korean Vacuum Society Conference
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• 2010.08a
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• pp.229-229
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• 2010

We report a high crystalline nonpolar a-plane (11-20) GaN on r-plane (1-102) sapphire substrates with $+0.15^{\circ}$, $-0.15^{\circ}$, $+0.2^{\circ}$, $-0.2^{\circ}$ and $+0.4^{\circ}$ misoriented by metalorganic chemical-vapor deposition (MOCVD). The multi-quantum wells (MQWs) active region is consists of 5 periods the nonpolar a-plane InGaN/GaN (a-InGaN/GaN) on a high quality a-plane GaN (a-GaN) template grown by using the multibuffer layer technique. The full widths at half maximum (FWHMs) of x-ray rocking curve (XRC) obtained from phiscan of the specimen that was grown up to nonpolar a-plane GaN layers with double crystal x-ray diffraction. The FWHM values of $+0.4^{\circ}$ misoriented sapphire substrate were decreased down to 426 arc sec for $0^{\circ}$ and 531 arc sec for $-90^{\circ}$, respectively. Also, the samples were characterized by photoluminescence (PL).

• Journal of Veterinary Clinics
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• v.34 no.2
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• pp.112-114
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• 2017

Two one-month-old dairy calves which have Eimeria oocysts in their bloody diarrhea died acutely a few days after showing the first clinical signs. At necropsy, hemorrhagic and congestive gastrointestinal organs were observed in both calves, and abomasal ulcerations existed. As a prevalent agent in all of the collected intra-intestinal specimens, Clostridium perfringens was isolated and the strain was identified as type A possessing alpha and beta2-toxins. In these clinical cases, intercurrent infection by C. perfringens type A and Eimeria through contaminated environment may be responsible for acute hemorrhagic enteritis.

• International Journal of Advanced Culture Technology
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• v.8 no.1
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• pp.107-112
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• 2020

Green credit card is the card service to revitalize the eco-friendly life of the people, offering a variety of benefits to card users for supporting environment. The present research aims to examine the effect of individuals' regulatory focus (promotion focus vs. prevention focus) on their ethical behavior in the context of green credit/debit card services. This research examines whether green credit/debit card users behave ethically according to their regulatory focus. The results indicate that green credit/debit card users with a prevention focus are more likely to behave ethically compared to those with a promotion focus. The findings imply that regulatory focus may be an effective marketing and segmentation tool in facilitating individuals' ethical behavior.

• Journal of the Korea Institute of Military Science and Technology
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• v.23 no.2
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• pp.139-146
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• 2020

The camouflage pattern was difficult to distinguish from the surrounding background, so it was difficult to classify the object and the background image when the color image is used as the training data of deep-learning. In this paper, we proposed a red-green color blindness image transformation method using the principle that people of red-green blindness distinguish green color better than ordinary people. Experimental results show that the camouflage soldier's recognition performance improved by proposed a deep learning model of the ensemble technique using the imitated red-green-blind image data and the original color image data.