• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.11 no.6
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• pp.49-59
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• 2012

Recently, various alternatives for safety and efficiency of commercial vehicles have been considered, and one of the new alternatives is the application of a digital tachograph. In Korea, the installation of a digital tachograph to commercial vehicles was regulated from 2011 and Korea Transportation Safety Authority developed e-TAS to analyze the monitoring data from digital tachographs installed in the order of 100 commercial vehicles. This study performs the potential impact analysis of the DTG installation, which includes a trend of dangerous driving, a trend of traffic accidents and cost-effective analysis, a trend of fuel consumption and cost-effective analysis, a cost-effective analysis of social benefits using e-TAS data. Depending on the frequency of dangerous driving, the participants are divided into three groups; high-dangerous group, average-dangerous group and low-dangerous group. The high-dangerous driving group shows lower km/liter than the low-dangerous driving group by 15% for buses and taxis and by 30% for trucks. About $CO_2$ emission, the difference becomes bigger; 25%, 25% and 42% for buses, taxis and trucks, respectively. Although this study is a short-term period analysis, the methodology will be applicable for the long-term period analysis with larger data.

• Information Systems Review
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• v.10 no.1
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• pp.71-90
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• 2008

The objective of this study is to develop the prototype of valuation systems for digital contents. The valuation system developed in this study can be used to evaluate the qualitative and economic value of digital contents for planning stage, development stage, and commercialization stage of contents. Based on this valuation system, decision makers related to the commercialization of digital contents can evaluate the value of digital contents more systematically and concisely.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.411-422
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• 2022

The purpose of this study was to identify factors that affect the characteristics and intentions of the elderly to use digital wealth management services. The subjects of this study were 312 elderly people over 50 years old. Based on the Value-based Adoption Model(VAM), the research model added price value, social influence, and perceived risk as research variables. As a result of empirical analysis, it was found that usefulness, enjoyment, price value, and social influence all had a significant positive (+) effect on perceived value. It was found that technicality had a significant negative (-) effect. On the other hand, no significant effect relationship was tested on perceived risk. The perceived value had a significant positive (+) effect on the intention to use. This study was meaningful in the academic research that it applied a research model that reflected the characteristics of the elderly who were not treated as mainstream in the technology acceptance model for digital wealth management services. In addition, it provided practical implications for providers' marketing strategies and government/public institution policy establishment to increase the use of digital wealth management services for the elderly.

• Journal of the Korea institute for structural maintenance and inspection
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• v.27 no.5
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• pp.30-39
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• 2023

Large dams, which are critical infrastructures for disaster prevention, are exposed to various risks such as aging, floods, and earthquakes. Better dam safety inspection and diagnosis using digital transformation technologies are needed. Traditional visual inspection methods by human inspectors have several limitations, including many inaccessible areas, danger of working at heights, and know-how based subjective inspections. In this study, drone photogrammetry was performed on two large dams to evaluate the applicability of digital data-based dam safety inspection and propose a data management methodology for continuous use. High-quality 3D digital models with GSD (ground sampling distance) within 2.5 cm/pixel were generated by flat double grid missions and manual photography methods, despite reservoir water surface and electromagnetic interferences, and severe altitude differences ranging from 42 m to 99.9 m of dam heights. Geometry profiles of the as-built conditions were easily extracted from the generated 3D mesh models, orthomosaic images, and digital surface models. The effectiveness of monitoring dam deformation by photogrammetry was confirmed. Cracks and deterioration of dam concrete structures, such as spillways and intake towers, were detected and visualized efficiently using the digital 3D models. This can be used for safe inspection of inaccessible areas and avoiding risky tasks at heights. Furthermore, a methodology for mapping the inspection result onto the 3D digital model and structuring a relational database for managing deterioration information history was proposed. As a result of measuring the labor and time required for safety inspection at the SYG Dam spillway, the drone photogrammetry method was found to have a 48% productivity improvement effect compared to the conventional manpower visual inspection method. The drone photogrammetry-based dam safety inspection is considered very effective in improving work productivity and data reliability.

• Journal of Digital Convergence
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• v.8 no.3
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• pp.49-62
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• 2010

The purpose of this study is to confirm how perception of user to e-government have an effect on the intention to use. Field research method using questionnaires was employed to investigate the effects between the variables. Findings of the study can be summarized as follows. Perceived information security and usefulness have a positive effect on trust to e-government. And perceived risk have a negative effect on trust. And only perceived usefulness have a positive effect on the intention to use significantly.

• Journal of Digital Contents Society
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• v.19 no.4
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• pp.771-777
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• 2018

This study proposes a big data based risk analysis framework to analyze more comprehensive disaster risk and vulnerability. We introduce a distributed and parallel framework that allows large volumes of data to be processed in a short time by using open-source disaster risk assessment tool. A performance analysis of the proposed system presents that it achieves a more faster processing time than that of the existing system and it will be possible to respond promptly to precise prediction and contribute to providing guideline to disaster countermeasures. Proposed system is able to support accurate risk prediction and mitigate severe damage, therefore will be crucial to giving decision makers or experts to prepare for emergency or disaster situation, and minimizing large scale damage to a region.

• Journal of Digital Convergence
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• v.12 no.2
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• pp.431-437
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• 2014

The purpose of this study was to perform an actual proof analysis on the structural effects of recognition of radiation risks on management and benefits. Data was collected using self-administered questionnaires targeting students having majors related to radiation from 1 April to 31 May in 2013 of one four-year-course university located in Chungbuk, Korea. As a result of the analysis, it turned out that as recognition of radiation risks is higher, recognition of radiation management is higher, which has a significant effect on benefits. It was indicated that although recognition of radiation risks does not directly influence radiation benefits, positive recognition on radiation benefits could increase through the parameter, radiation management. In order to improve smooth use of radiation and increase benefits, education that emphasizes the need of proper radiation management should be performed.

• Journal of Digital Convergence
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• v.15 no.12
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• pp.59-70
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• 2017

The purpose of this study was to investigate whether there is a moderating effect of protective factors on risk factors in affecting school adjustment of immigrant youths. For this purpose, this study analyzed 69,720 youths who weighed 6,079 children of youths ages 9-24 among the 2015 National Survey of Multicultural Families. From the results of the analysis, first, the discrimination experience, school violence and depression, which are risk factors of immigrant youths, all had negative effects on school adjustment. Parental relations, self-esteem, Korean language ability, and nationality acquisition, which are protective factors, all had a positive effect on school adjustment. Second, among the three risk factors in the school adjustment of immigrant youths, self-esteem and nationality acquisition variables were analyzed as the protective factors moderating depression, and the protective factors controlling school violence were analyzed as parental relationship, self-esteem, Korean ability and nationality acquisition variables. Based on the results of the analysis, decrease in immigrant youths' depression, coping with academic violence, and development and support of various competency development programs were suggested as major social welfare practices.

• Journal of Digital Convergence
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• v.14 no.12
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• pp.1-12
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• 2016

Today, with the popularity of smart phones and the proliferation of SNS, anyone is exposed to the risk of personal information leakage. Unlike the prior studies of privacy, this research aims to identify the privacy factors affecting the provision intention of individual information from the SNS Users. This study also analyses how the perceived privacy risks and corporate trust affect the provision intention of individual information. The analysis results of empirical data show that despite experiencing the privacy leakage such as direct hacking and being aware of the risk, people are providing firms with personal information. The most influential variables to perceived privacy risk are information privacy policy, information privacy concern, previous privacy experience and information privacy awareness in the decreasing order of importance. Those to the corporate trust are information privacy policy, information privacy awareness, previous privacy concern and information privacy experience. Besides, the corporate trust and the perceived privacy risk also affect the provision intention of personal information. Finally, this study proposes the implications for personal information privacy.

• Journal of Digital Convergence
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• v.16 no.10
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• pp.213-222
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• 2018

This study was conducted to derive the traffic accident risk index through the recognition of the elderly driver's driving pattern to reduce the traffic accident rate of elderly drivers and to reflect them in the renewal and return policy of driver's license accordingly. First, the traffic accident risk index is defined by analyzing the behavioral characteristics of older drivers to derive the major factors that lead to traffic accidents. Second, we present a method to measure the traffic accident risk index from the driving pattern of the elderly through the smart-phone, the camera and the distance sensor attached to the car. Finally, we derive three thresholds by computer simulation and determine the accident risk from the measured traffic accident risk index as four steps and suggest ways to ensure safe driving of older drivers. It is required to objectively assess the driving ability of an aged driver in accordance with the proposed method, and to induce the driver to reset the driver's license renewal cycle and voluntarily return the driver's license to minimize social costs due to increased traffic accidents.