• Journal of Fisheries and Marine Sciences Education
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• v.27 no.5
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• pp.1273-1289
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• 2015

The purpose of this study was to use the parent of the infant status and their media perception (3-7 five years) the infants' media use by examining the situation looking at the parents' use of media that cause impact on infants' media use parents will be validated accordingly to seek the solutions for the media and the involvement of infants perception. U City and 14 practitioners in preschool infants aged 5-7 target parents from 1307 people based in September 2014, a survey was conducted two months until October. This study was a mixed Methods for quantitative analysis of all the results and qualitative analysis of the results. Results for media use quantitative analysis of the results and impact parents have on infants' media use their media usage status of the parents and the media use of infants by their perceived status has been subjected to frequency analysis and hierarchical multiple regression analysis, parents perception results. Analysis of the solution for the immersion of the media and the infants unit of analysis was used for componential analysis. Through this study, parents would like to establish a plan to take advantage of essential educational content in the media and sought ways for the correct use of infants in the media and practice at home.

• Journal of the Korea Safety Management & Science
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• v.23 no.1
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• pp.49-56
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• 2021

The purpose of this study is to investigate the current status of firefighting seatbelt use and factors affecting the wearing seatbelt of firefighters. The seatbelt use of citizens was also studied for comparative study. Two T-tests were conducted to confirm the characteristics of firefighters' safety belts wearing firefighters. As a result, there was a statistically significant difference, on seatbelt use in general vehicles, between firefighters and citizens. And a significant difference between fire vehicles and general vehicles, on firefighters' seatbelt use, and the average was lower in fire vehicles. Factor analysis, reliability analysis, correlation analysis and multiple regression analysis were conducted to 10 influential factors affecting seatbelt use of firefighters'. And factor analysis and reliability analysis revealed two major factors (Physical factors, Learning factors). In multiple regression analysis, it was confirmed the two independent factors had a positive effect on the dependent variable, the rate of seatbelt use of firefighters'.

• Journal of the Korean Operations Research and Management Science Society
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• v.28 no.2
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• pp.91-103
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• 2003

Use case modeling on UML (Unified Modeling Language) is getting widely used in OOAD and CBD and it is considered a useful technique in dealing with the complexity of the requirements analysis. However, some of the problems with use case modeling are that it is not structured, difficult to handle non-functional requirements, and to analyze impacts among use cases. To alleviate these problems, we propose a scenario-based goal-oriented approach for use case modeling. The proposed approach is to apply a goal-oriented analysis method to use case modeling. Since goal-oriented analysis method is not systematic and many heuristics are involved, we have adopted scenarios as the basis for goal extraction. The proposed method is applied to CBIS (City Bus Information Subsystem) in ITS (Intelligent Transportation System) domain. The proposed approach helps software engineers to analyze the impact among use cases and represent non-functional requirements.

• Journal of Korea Spatial Information System Society
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• v.3 no.2 s.6
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• pp.63-70
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• 2001

In this study, land use state analysis for northern part of Cheon-ra province where is relatively vast area is accomplished using the application system of land use map. The system is developed for promoting application of the latest land use map and is possible to GIS spatial analysis. Through this study, an analysis method of land use state and decision making support for effective land use plan is presented. It is expected for land use map to be variously applied to land planning by analysis of wide-range land use state and base data for fields such as environment effect, disaster analysis.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.4
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• pp.193-203
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• 2006

This study conducts mapping of the results of topographical dissected degree analysis using GIS and analyzes relation between dissected degree and land use of study area. Application of GIS typographical dissected degree analysis can greatly save time and efforts comparing with traditional manual work, and makes it possible to vary analysis variables widely, which gives possibility to carry out 2-dimensional research using these results. This study, taking start from such background, tries to find the way to carry out dissected degree analysis with the use of GIS, compares the results of the analysis with the land use map, and tries to find the ways of practical application of this analysis results. The results of analysis of the relation between basin dissected degree and agricultural land use of Gangneungnamdae river study area show that for agricultural land use topographical dissection is mostly distributed in quite developed area. Specifically, land used for paddy and dry fields appeared to have higher level of correlation with dissection degree. When comparing dissected degree and agricultural land use interrelation for each area, comparison of intensively formed urban districts with suburbs showed low correlation.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.12 no.12
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• pp.1090-1097
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• 2000

Predicting building energy use can be useful to evaluate its energy performance. This study proposed empirical approach for predicting building energy use with regression analysis. For the empirical analysis, simple regression models were developed based on the historical energy consumption data as a function of daily outside temperature, the predicting equations were derived for different operational modes and day types, then the equations were applied for predicting energy use in a building. BY selecting a real building as a case study, the feasibilities of the empirical approach for predicting building energy use were examined. The results showed that empirical approach with regression analysis was fairly reliable by demonstrating prediction accuracy of $pm10%$ compared with the actual energy consumption data. It was also verified that the prediction by regression models could be simple and fairly accurate. Thus, it is anticipated that the empirical approach will be useful and reliable tool for many purposes: retrofit savings analysis by estimating energy usage in an existing building or the diagnosis of the building operational problems with real time analysis.

• Journal of Soil and Groundwater Environment
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• v.18 no.4
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• pp.40-49
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• 2013

In the beginning of $20^{th}$ century, the coal mining industry had an important role in Japan at which two-thirds of the coal product came from the Kitakyushu-Chikuho District (KCD). As a consequence of mining activities, land-use condition in this district showed notable changes. This paper presented a study of land-use changes in coal mining area by characterizing land-use pattern transition over the last 100 years. In order to carry out the rigorous analysis of land-use, a series of land-use maps over the last 100 years was developed using geographic information systems (GIS). The historic topographic map and another available old data were used to investigate the long-term changes of land-use associated with past mining within the GIS platform. The results showed that the utilization of a series of developed land-use maps successfully indicated the difference of land-use pattern in the KCD before and after the peak of mining activities. The general findings from land-use analysis described that forest and farm lands were lost and turned into abandoned sites in the last 100 years.

• The Journal of the Convergence on Culture Technology
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• v.6 no.2
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• pp.107-115
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• 2020

This study verified the motivation to use Tiktok for Chinese teenagers. This paper investigated the influence of adolescents'use motivation on use satisfaction and continuous use intention. In addition, this study was to grasp the relationship between use motivation and sustained use intention as a mediating effect of use satisfaction. The survey was conducted online and offline, 315 adolescents were selected for analysis. For the data, factor analysis, multiple regression analysis, and effect analysis of parameters were conducted using the SPSS 25 program. As a result of the study, information/entertainment pursuit, communication, and self-expression were derived as motivation for use. Among these motivations, information/enterprise pursuit and communication were found to have a significant effect on use satisfaction and continued use intention. In addition, it was confirmed that use satisfaction has a mediating effect on intention to use continuously. But it is found that the self-expression factor handled as reuse intention have no significant influence on the use satisfaction and continuous use intention of Tiktok.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.559-563
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• 2015

Identification of energy use patterns in buildings has a great opportunity for energy saving. To find what energy use patterns exist, clustering analysis has been commonly used such as K-means and hierarchical clustering method. In case of high dimensional data such as energy use time-series, data reduction should be considered to avoid the curse of dimensionality. Principle Component Analysis, Autocorrelation Function, Discrete Fourier Transform and Discrete Wavelet Transform have been widely used to map the original data into the lower dimensional spaces. However, there still remains an ongoing issue since the performance of clustering analysis is dependent on data type, purpose and application. Therefore, we need to understand which data reduction techniques are suitable for energy use management. This research aims find the best clustering method using energy use data obtained from Seoul National University campus. The results of this research show that most experiments with data reduction techniques have a better performance. Also, the results obtained helps facility managers optimally control energy systems such as HVAC to reduce energy use in buildings.

• Journal of Digital Convergence
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• v.14 no.6
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• pp.395-403
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• 2016

This study investigates SNS usage behaviors of SNS users with a change of SNS use environment and an increase of users. This study compares the difference of use motivation, preferred type, and main use SNS according to socio-demographic variable of SNS users using cross tabulation analysis and also conducts a comparative analysis of main use SNS of each SNS user using correspondence analysis. The results show main use motivation of SNS is relationship seek, most preferred type is closed type, and main use SNS is Kakaostory. Next, we find that there are differences on use motivation, preferred type, and main use SNS, depending on the socio-demographic characteristics of SNS users. The result of correspondence analysis shows how users are using SNS services and what structure their competitive relations of SNS services are made. In the conclusion, the study presents summary of the findings, implications, and tasks for further studies.