• Magazine of the Korean Society of Agricultural Engineers
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• v.38 no.2
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• pp.108-122
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• 1996

This study was to introduced estimation model for optimum probabilistic rainfall intensity on hydrological area. Originally, probabilistic rainfall intensity formula have been characterized different coefficient of formula and model following watersheds. But recently in korea rainfall intensity formula does not use unionize applyment standard between administration and district. And mingle use planning formula with not assumption model. Following the number of year hydrological duration adjust areal index. But, with adjusting formula applyment was without systematic conduct. This study perceive the point as following : 1) Use method of excess probability of Iwai to calculate survey rainfall intensity value. 2) And, use method of least squares to calculate areal coefficient for a unit of 157 rain gauge station. And, use areal coefficient was introduced new probabilistic rainfall intensity formula for each rain gauge station. 3) And, use new probabilistic rainfall intensity formula to adjust a unit of fourteen duration-a unit of fifteen year probabilistic rainfall intensity. 4) The above survey value compared with adjustment value. And use three theory of error(absolute mean error, squares mean error, relative error ratio) to choice optimum probabilistic rainfall intensity formula for a unit of 157 rain gauge station.

• Journal of Digital Convergence
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• v.19 no.5
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• pp.215-227
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• 2021

This study empirically studied the factors affecting the intensity of use of mobile social media and fatigue. Theories for the research framework were based on the theory of planned behavior, the theory of private information protection, the theory of flow, and the theory of process incentives. As a result of data analysis, it was found that self-efficacy, user habits, and flow experience positively influence the intensity of mobile social media use. This study assumed that personal information protection issues negatively affect the intensity of mobile social media use, but have little influence on the use intensity. The intensity of media use had a positive effect on media fatigue. In other words, when the intensity of using mobile social media increased, the feeling of fatigue increased. The expected process incentives variable did not show a moderating effect between media use intensity and social media fatigue. The findings will have implications for social media-related companies and organizations that want to use social media tools for business and public services.

• Economic and Environmental Geology
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• v.23 no.4
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• pp.383-392
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• 1990

This study found that that dynamics of intensity of use and economic theory of derived demand can both be accommodated through an extensive translog demand model. The basic idea in this recognition is that the skewed life cycle empirical pattern of intensity of use plotted against per capita income is of lognormal form and this lognomal intensity of use model can be mathematically transformed into an eqivalent simple translog intensity of use model. Empirical results showed that this extensive traslog model, which is a flexible function and includes both the classical case of fixed coefficients and the dynamic case of varying coefficients of the explanatory variables, gave better forecasts than the original intensity of use model and other conventional models.

• Journal of Forest and Environmental Science
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• v.33 no.4
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• pp.295-304
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• 2017

This study compared and analyzed the construction of a land use change matrix for the Intergovernmental Panel on Climate Change's (IPCC) land use, land use change, and forestry area (LULUCF). We used National Forest Inventory (NFI) permanent sample plots (with a sample intensity of 4 km) and permanent sample plots with 500 m sampling intensity. The land use change matrix was formed using the point sampling method, Level-2 Land Cover Maps, and forest aerial photographs (3rd and 4th series). The land use change matrix using the land cover map indicated that the annual change in area was the highest for forests and cropland; the cropland area decreased over time. We evaluated the uncertainty of the land use change matrix. Our results indicated that the forest land use, which had the most sampling, had the lowest uncertainty, while the grassland and wetlands had the highest uncertainty and the least sampling. The uncertainty was higher for the 4 km sampling intensity than for the 500 m sampling intensity, which indicates the importance of selecting the appropriate sample size when constructing a national land use change matrix.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.255-265
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• 2018

This study investigated what kind of message forms and information sources more effect according to SNS' type and use intensity. To this end, this study did experimental analysis using collected data by survey which manufactured message forms and situational contents of information sources. According to analysis results, the effect of message forms showed difference according to SNS' type and use intensity. Realistic message showed greater effect in interest-based SNS and high use intensity. Evaluative message showed greater effect in relation-based SNS regardless of use intensity. The effect of information sources showed difference according to SNS' type. Friend or college and knower showed greater effect in relation- based SNS, and company showed greater effect in interest-based SNS. In the case of use intensity, friend or college showed the greatest effect without difference. Such results can provide a practical contribution in planning SNS advertising strategy. Future Studies need to expand survey variously into SNS and subject.

• Journal of the Korea Convergence Society
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• v.11 no.11
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• pp.155-163
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• 2020

This study investigated experimentally how factors of SNS advertising attribute impact on advertising likeability and purchase intention according to use motive and use intensity of SNS. Firstly showing difference according to use motive of SNS, in user of motive to managing human relation, reliability of advertising contents has effect the largest and entertainment of advertising interest has effect also as important factor. In user of motive to sharing interest information, irritation of advertising on using SNS has effect the largest negatively and information of advertising's information offering capability has effect larger as positive factor. Next showing difference according to use intensity of SNS, in user of high intensity, reliability and information of advertising contents has effect larger than other factors. In user of low intensity, irritation of advertising has effect the largest negatively and other factors have effect very small. This results can provide a practical contribution that explains important factors in producing effective SNS advertising according to using behavior characteristics of SNS.

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.106-114
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• 2022

This study attempted to empirically investigate the difference in the Advertising Acceptance Attitudes of pre-roll advertisements according to the Use Motivation and Use Intensity of YouTube, which act as important factors in using YouTube. For this study, a survey targeted to both male and female university students was conducted, 200 people's data being used for the analysis. First research result was that positive attitude towards advertisement based on the Youtube Use Motivation was higher for the group who pursue narrative identities than the group who habitually use intention and pursue amusement. For avoidance behavior, the group who habitually use intention and pursue amusement was higher than the group who pursue narrative identities. Second, for the positive attitude towards advertisement based on Youtube Use Intensity, the group with higher Use Intensity showed an optimistic attitude relative to the group with lower Use Intensity. However, there was no difference in the avoidance behavior for advertisement. These following results imply that a strategy considering the Use Pattern based on the Use Motivation and Use Intensity of the users is needed in enforcing YouTube pre-roll advertisements.

• Journal of Integrative Natural Science
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• v.4 no.3
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• pp.229-237
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• 2011

Today they use a weather radar with spatially high resolution in predicting rainfall intensity and utilizing the information for super short-range forecast in order to make predictions of such severe meteorological phenomena as heavy rainfall and snow. For a weather radar, they use the Z-R relation between the reflectivity factor(Z) and rainfall intensity(R) by rainfall particles in the atmosphere in order to estimate intensity. Most used among the various Z-R relation is $Z=200R^{1.6}$ applied to stratiform rain. It's also used to estimate basic rainfall intensity of a weather radar run by the weather center. This study set out to compare rainfall intensity between the reflectivity of a weather radar and the ground rainfall of ASOS(Automatic Surface Observation System) by analyzing many different cases of heavy rain, analyze the errors of different weather radars and identify their problems, and investigate their applicability to nowcasting in case of severe weather.

• Atmosphere
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• v.29 no.4
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• pp.381-390
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• 2019

This study investigates the impacts of urban land-use fraction and temperature advection on the urban heat island intensity over the Seoul metropolitan area using the UM (Unified Model) with the MORUSES (Met Office Reading Urban Surface Exchange Scheme) during the heat wave over the region from 2 to 8, August 2016. Two simulations are performed with two different land-use type, the urban (urban simulation) and the urban surfaces replaced with grass (rural simulation), in order to calculate the urban heat island intensity defined as the 1.5-m temperature difference between the urban and the rural simulations. The land-use type for the urban simulation is obtained from Korea Ministry of Environment (2007) land-use data after it is converted into the types used in the UM. It is found that the urban heat island intensity over high urban-fraction regions in the metropolitan area is as large as 1℃ in daytime and 3.2℃ in nighttime, i.e., the effects of urban heat island is much larger for night than day. It is also found that the magnitude of urban heat island intensity increases linearly with urban land-use fraction. Spatially, the estimated the urban heat island intensities are systematically larger in the downwind regions of the metropolitan area than in the upwind area due to the effects of temperature advection. Results of this study indicate that urban surface fraction in the city area and temperature advection play a key role in determining the spatial distribution and magnitude of urban heat island intensity.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.25 no.3
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• pp.1-8
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• 2017

As many people all over the world increasingly take more time in exchanging with other people or acquiring information on the internet, use of social media becomes a part of their daily lives. A lot of changes of consumer culture, which have been occurring through social media, have significant effects on corporate marketing activities. Since social media's importance to airlines has been continuously increased, this study attempts to examine effects of passengers' uses of social media, who plan to select an airline, on dependence on reliance of electronic word-of mouth(EWOM) and EWOM acceptance. To this end, a questionnaire survey of passengers who use airlines and the airline's social media was conducted, and then effective data of 302 copies were analyzed by using the structural equation modeling. The findings show that social media use intensity has a significant effect on Acceptance of EWOM via reliance of EWOM, while a direct effect of social media use intensity on Acceptance of EWOM is not significant. From this study, it is found that control and management of social media and only EWOM are effective tools for marketing of airline businesses, suggesting that innovative strategies are required to preemptively cope with changes in consumers' behaviors and markets, which continue to evolve.