• Journal of Digital Convergence
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• v.15 no.11
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• pp.9-21
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• 2017

This study is aimed to evaluate the satisfaction level and effective value in acquiring the coffee-related private certificates for purpose of development and growth of the coffee industry in Korea. Analysis had being made to investigate on which parts of the vocational competencies designated by National Competency Standard are developed by the coffee-related private certificates implemented in Korea and the effect of such certificates on the job satisfaction and intent to utilize are further elaborated. While technical ability, self-development ability, problem-solving ability had a positive (+) effect on overall job satisfaction. Further, job satisfaction of vocational competencies had a positive (+) effect on the utilization intention. Through this study, it is found that the coffee barista private certificates have a considerable effect on the development of vocational competencies, improve the job satisfaction and are utilized as a material evaluating ability scales for recruitment and employment.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.11 no.1
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• pp.19-27
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• 1993

For the design of a large-scale landfill, the future utilization plan of the landfill ought to precede based on the analysis of existing facility. Analysis for the present condition of reclamation must include accurate assesment of volume and other consideration such as urban scenery. In this study an optimum data interpolation scheme area/volume determination method based on the classification of topography were combined for the correct assessment of sweeping volume. Combined model was compared with the real data of Digital Elevation Model constructed by aero photography. The new model aims at providing basic information for the design and utilization of a new landfill. A a result of this study, we made an algorithm to perform the classification of the topography in the area of interest objectively. In addition, we decided optimal data interpolation scheme and area/volume calculation method for given topography. Finally, we applied the developed methodology to Nangido Landfill to assess current landfill situation and potential capacity when landfilling is resumed.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.341-347
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• 2014

Among methods of the big data process, big data process under the cloud environment is becoming a main topic. As part of solving faced problem and strengthening industrial competitiveness in the medical and health industry, discussion on ways to activate big data is actively being conducted. Because the reason is a paradigm shift, saving pressure for increasing health care costs, and increased consumer interest for the level of service. In this paper, we find out the relationship between the cloud and big data. And we are to research and analysis a cloud-based big data case in the medical field. Finally we propose the efficient utilization and future outlook. For the smooth functioning of cloud-based medical big data, we have to solve the problems like infrastructure extension, analysis/application software development, and professional manpower training. In addition, we have to correct insufficient laws maintenance to the Cloud utilization, and improve the security and the recognition to personal information, and solve authority for data centralization.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.587-595
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• 2014

As the number of users of SNS (Social Network Service) and smart devices increases sharply nowadays, many studies on various teaching models and methodologies have been made in order to utilize SNS in education. However, there are not so sufficient studies that explore social media as a learning environment and analyze empirically its relation with the academic achievement. Since various kinds of learning experiences are required in order to foster creative talents, it is necessary to have information sharing, debate and information exchange utilizing SNS. If utilizing SNS for general computer education in a university, it will be possible to collect learners' various thoughts and opinions more effectively. Because real-time feedback can be possible in each individual space through SNS by sharing the information related to the interactions between learner and teacher or between leaner and learner and exchanging opinions each other, the learner's ability to utilize a computer can be improved. Especially SNS can provide a real-time help to solve problems for underachieved students and provide an opportunity to improve the academic achievement.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.395-407
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• 2020

The current study aims to examine whether dementia service utilization is associated with cognitive function and whether health literacy moderates the relationship between dementia service utilization and cognitive function. Data were drawn from the 2016 Dementia Literacy Survey collected by K University. The final analytic sample included 522 community-dwelling older Koreans aged 60 to 79. Results from multivariate regression analyses showed that both dementia service use and higher levels of health literacy were related to better cognitive function and that health literacy had significant moderating effects. When older adults used dementia service, those with higher levels of health literacy reported higher levels of cognitive function than those with lower levels of health literacy. Our findings suggest that health literacy plays an important role in determining the cognitive health benefits arising from dementia service utilization.

• Journal of Digital Convergence
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• v.15 no.3
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• pp.129-138
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• 2017

This study intends to analyze the impact of technology commercialization activities in the area of basic research on the technology utilization performances and the corporate business performances. The technology commercialization activities are divided into the experiences of promoting technology commercialization, the department dedicated to technology commercialization, and the technology commercialization consulting. Additionally, this study has used the tracked information of the companies that adopted the basic research-related technologies. Therefore, we conducted the analysis on the mediating effects under the assumption that it can be extended to the business performance of companies in addition to technology utilization performance. To do this, we developed the empirical model through previous studies and developed various research models by subdividing the types of technology commercialization. As the result, it was analyzed that all the variables of activities involved in the technology commercialization utilizing basic research results had positive effects on the technology utilization performance and business performances, and there were also mediating effects on the technology-related performance.

• Journal of Digital Convergence
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• v.14 no.6
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• pp.449-455
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• 2016

In this study, the survey targeting 180 in-service hair dressers from beauty salons located in Seoul was carried out in order to determine the connection between the practical tasks(scalp, shampoo, cut, blow dry, roll setting, blow dry, coloring) of national hairdresser licensing examination and the practical field. The utilization level of 7 practical subjects tasks was average except for hair coloring which showed a high support of spread and spread-skill tasks. Also, the utilization level of two subjects including haircut and coloring gave a positive influence on the practical skill (p<0.05). Therefore, practical application of haircut which is one of the most important subjects for in-service hair dressers and high quality education for customer satisfaction are necessary and it is necessary to check other subjects which have no influence on the practical field again.

• Journal of Digital Convergence
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• v.15 no.9
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• pp.167-178
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• 2017

Big Data is a key asset for the company and a key factor in boosting its competitiveness in the logistics sector. However, there is still a lack of research on how to collect, analyze and utilize Big Data in logistics. In this context, this study has developed a value model applicable to logistics companies based on the results of analysis and application of Big Data in the logistics of previous studies and DHL. The purpose of this study is to improve the operational efficiency and customer experience maximization level of logistics companies through utilization of big data analysis in logistics, to improve competitiveness of big data utilization and to develop new business opportunities. This study has a significance to newly create a value model for utilization of big data analysis in logistics sector and can provide implications for other industries as well as logistics sector in the future.

• Journal of Digital Contents Society
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• v.19 no.7
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• pp.1333-1339
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• 2018

Recently, as disasters caused by weather such as heavy rains have increased, interests in forecasting weather and disasters using radars have been increasing, and related studies have also been actively performed. As the Ministry of Environment(ME) has established and operated a radar network on a national scale, utilization of radars has been emphasized. However, persons in charge and researchers, who want to use the data from radars need to understand characteristics of the radar data and are also experiencing a lot of trials and errors when converting and calibrating the radar data from Universal Format(UF) files. Hence, this study developed a Radar Display and Analysis Program(RaDAP) based on Graphic User Interface(GUI) using the Java Programming Language in order for UF-type radar data to be generated in an ASCII-formatted image file and text file. The developed program can derive desired radar rainfall data and minimize the time required to perform its analysis. Therefore, it is expected that this program will contribute to enhancing the utilization of radar data in various fields.

• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.4
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• pp.189-204
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• 2018

The purpose of this study is to examine an organizational performance difference by individual utilization level of the smart work. The Smart work help minimizing business process and improving organization productivity based on information technology. This new technology provides a flexible way of the task through smart-work center, videoconferencing, telecommuting, mobile(remote control) and business-only messenger. This investment changes organizational culture, institutions and behavior by new technology applying. The organization system change due to smart work has trouble between alteration preferences and existing maintains a group. In response, the organization should make investment justification of smart work for institutional and culture stabilized by a new system in organization. I set up the analytical process of four stages for empirical research. It will analyze an operation difference of the smart work between pre and post investment in the first-step analysis. The two-step analysis will conduct a text mining analysis of smart work operations. The three-step analysis will identify organization performance differences among individual levels in smart work. The four-step analysis will identify a factor difference in organizational performance by individual utilization level on smart work. According to the study, It has been revealed a difference between the pre and post investment performance on smart work. The text mining analyses many appeared an improvement opinion of organizational culture. Next, there is a difference in organization performance among utilize groups of smart work. Furthermore, the factors of organizational performance among groups appeared differently. The theoretical contribution of this study provided to expand the organizational theory of organization change and resistance. The practical implications provided to require a strong guideline an organizational culture and institution for smart work.