• International Journal of Advanced Culture Technology
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• v.10 no.2
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• pp.140-147
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• 2022

This study analyzes research trends by systematically examining research about domestic emergency medical services' clinical practice, and it is aimed to present the basic data needs in development plan in clinical practice education in the future. The thesis was searched through the electronic data research (Science Direct, PubMed, Medline, and 55 academic DB interworking) from the library of Konyang University from 2010 to 2021. The main keywords were "Emergency Medical Technician(EMT) Student" and "Clinical Practice," and 6 pieces of researches were selected, finally. As the result of analyzing the qualitative level of selected research, all the 6 pieces of research subjects(100.0%) were pertinent to level IV(survey research) which is low-qualitative level. As the principal subjects, "Clinical practice experience" got the highest frequency as 6(100%), "Satisfaction of clinical practice" was 3(50%), "Self-efficient, Major satisfaction" and "Stress, Depression, Coping" showed 2 (33.3%), and "Change after clinical practice", "Clinical practice improvement plan" was 1(16.7%) each. From this time on, it is confirmed that the quantitative and qualitative growth in domestic emergency medical clinical practice is necessary. This is expected to contribute to establishing a practical and systematic development plan of clinical practice education.

• The Journal of the Convergence on Culture Technology
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• v.8 no.4
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• pp.45-51
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• 2022

This study aims to provide basic data on socioeconomic and social activities from the point of view that disability or disease accompanying the suffering of industrial accident subjects is directly related to individual socioeconomic activity and is a major variable affecting current health and daily life satisfaction. The purpose of this study is to investigate the relationship between pain and life satisfaction and to suggest basic data for economic and psychological rehabilitation of industrial accident insurance beneficiaries by linking factors affecting life satisfaction with industrial accident services. As a result of the study, it was found that workers' compensation insurance benefit recipients had an effect on their daily life satisfaction after becoming an industrial accident patient due to industrial accident pain. There was a positive(+) relationship between rehabilitation services and medical counseling services. Occupational accident pain lowers self-esteem, which is a characteristic of an individual, and even if current health improves, satisfaction with daily life decreases. The importance of industrial accident-related services can be seen in that the satisfaction of daily life is increased through rehabilitation services and medical consultation services. In addition, it was indirectly confirmed that satisfaction with rehabilitation services and health can be improved as a result of continuing attempts to improve self-esteem suitable for patients in various problems and situations after an industrial accident.

• Journal of the Korea Institute of Military Science and Technology
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• v.24 no.3
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• pp.328-338
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• 2021

A study on common modular design based on open standards to reduce the life cycle cost of ground weapon system is underway. Since the ground weapon system includes major mission equipment such as fire control system, it is essential to apply the concept of fault tolerance through automatic reconfiguration and blocking unspecified equipment through connectivity control. However, it is difficult to generalize due to the difference in operating characteristics for each system. In this paper, we propose a plug-and-play framework, which includes plug-and-play architecture and mechanism. The proposed method can be used in common by the application of each component as it is divided into a common service layer. In addition, the proposed connectivity control and autonomous reconfiguration method facilitates reflection of operating characteristics for each system. We constructed a verification environment that can simulate ground weapon systems and components, and verified that the proposed framework works through scenario-based functional tests.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.1
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• pp.234-243
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• 2016

The aim of this study was to identify the self-confidence in performance and education demand of first aid in kindergarten and daycare center teachers. The data from a questionnaire were collected from teachers in kindergarten and daycare centers from March 5 to 31, 2015. The responses from 149 teachers were analyzed using SPSS 21.0. The results showed that self-confidence in the performance of first aid was mostly low (mean score 2.70), but was significantly high in cases of having a willingness to perform first aid (p=.002). The education demand for first aid was mostly high (mean score 4.04), and significantly high in the case of having experience of emergency situations (4.21, p=.006), and being educated in first aid while working in a childcare facility (4.14, p=.001). Therefore, it is important to educate teachers in first aid regularly after developing an optimized program considering the frequency of emergency situations, and level of self-confidence in the performance and education demand of first aid.

• Journal of Korea Entertainment Industry Association
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• v.15 no.7
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• pp.45-57
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• 2021

The purpose of this study is to identify what factors have impacts on the amount of YouTube viewing. In doing so, usage type, children's levels of self-control on viewing, parent's perception of media contents, and parental mediation style were investigated by age. The result of the study showed no significant differences of the amount of use by the different age groups. There were, however, significant differences in terms of subscription status(non subscription based vs. subscription-based viewing), level of self-control, perception of content, and parent's mediations (technology, supervision, and guidance). Given the amount of YouTube use, the subscription status and parent's supervision were significantly influential factors for the age group of 3-4 years old. For the age group of 5-6, subscription status, levels of self-control, and mediation of parent's supervision and guidance were influential factors. For the age of 7-9, subscription status, the level of self control, and premium service were significantly influential. Finding similarities and differences in meaningful variables by age group suggests that different strategies should be used to reduce the amount of children's YouTube use. In addition, it raises the need for a more detailed classification of children's YouTube usage methods, which have not been addressed so far, and the need for research on the influence of these methods.

• Journal of Korea Technology Innovation Society
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• v.12 no.2
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• pp.388-412
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• 2009

This study analyzed the important factors in service quality for public usage of national R&D facilities and equipments, and, using those factors, performed the importance-performance analysis for several national R&D programs in order to examine what service quality factors should be concentrically improved in each programs. Additionally, the in-depth interview with program managers and R&D facility experts was performed to realize the managerial issues subject to the characteristics of programs regarding the national R&D public facility management. As the results, this study made some political suggestions such as the reformation of promoter's role regarding the formulation of the government policy to support those programs. For example, it is more suitable for colleges as the subject of programs to be invested for self-research purpose rather than public usage, for independent corporation to be centered on the more general and common production fields, and for the government R&D agencies on the leading and special technical fields.

• Journal of Distribution Science
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• v.14 no.5
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• pp.51-57
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• 2016

Purpose - In the year of 2015 and 2016, one of the items that got attention in CES was a drone. It has been 100 years since a drone emerged, but most were used for military purposes. As its use became diverse as of 2010, it got attention of the general public. In Korea, it was in 2011 that a drone was known to the public through an aerial video shooting for television program. This study tried to come up with suggestions by comparing domestic with overseas cases, and tried to consider the related technologies and systems with applying the role of drones in logistics service. Research design, data, and methodology - The overseas cases were regarded as drone's logistical purpose. The Prime Air service by US Amazon is still not commercialized and under pre-testing due to Federal Aviation Regulations, although it started in 2013. In Germany, DHL succeeded in delivering service testing which is called Parcelcopter, but it is not commercialized yet. Other than these, there are more attempts to prepare logistics service in China with Taobao, in France with Geopost's test, and in Africa. In Korea, CJ Korea Express tested delivery with a self-developed drone Results - In order to study for utilizing drones for logistics as the prerequisites, some overseas and domestic cases, which are currently considered, were reviewed. Also, the technologies and institutional requirements to commercialize drones for logistical purpose were reviewed. The reasons for using drones in logistics is to ensure the price competitiveness by reducing cost. The empirical test also will be needed because drone pilot areas are designated by ministry of land, infrastructure and transport. Conclusions - In order to utilize drones in logistics and foster the industry, this study would like to suggest the followings. First of all, size of drones for logistics needs to be fixed and their operating system should be standardized. Centralized investment resources are needed through standardization to ensure the market occupancy. Secondly, it is necessary to get the converged businesses that do research, develop and commercialize drones with the investment of private sector. Example can be found in Korea aerospace Industries. We can respond to the rapid growth of the market with intensive investing by integrating the private sector investment. Thirdly, institutional arrangements are needed to be established quickly. In the case of high-technologies like drones, institutional support often does not follow the rapid development of the technology. The problems can be found in securing drones-only airspace, creating drone-specialized pilot's license, matters related to remote controller and complementary regulations for drones in Aviation Act. If these regulations are not prepared or complemented at the right timing, technologies cannot be commercialized even though the development is completed. Fourthly, there is a need to secure the transparency regarding possible privacy and personal information protection problem while operating drones. Finally, in order to foster this new industry, government should focus on supporting R&D more in the long term than short term outcomes.

• Journal of Information Management
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• v.38 no.3
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• pp.183-209
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• 2007

The representative example of the business model on internet environment, the business of the Naver, Empas and Google which provides information retrieval service is the internet portal. The portal sites provide information retrieval service which provides users information what they want to find, that is a huge social contribution. The portal site which provides a search service leads much problems. Consequently, the regulation against information retrieval is asserted powerfully in spite of the public interest. Namely, the regulation regarding the search business owner is tried. Finally, portal business owner puts the social responsibility as OSP. But, there is a doubt that portal business owner who has much problem which occurred on the portal site indirectly has responsibility directly. That is duty on portal site owner the censorship on the contents transferred. So, this thesis researches on the social critical opinion relating with a information retrieval from the legal side against the problem of the Internet.

• Information Systems Review
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• v.23 no.3
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• pp.177-200
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• 2021

Recently, the use of prepaid electronic payments such as electronic wallets, digital currency and prepaid points is gradually increasing. Prepaid electronic payments has the characteristic of being used after charging first. This study empirically investigated the factors affecting the intention to use online charging in order to help improve the service that require prepaid recharge by applying transformed TAM. Since there are not many previous studies for the intention to use online charging, we extract factors through preceding researches for electronic cash and mobile easy payment. Also we analyze the intention to use online charging for transportation card users, focusing on the moderating effects. As a result of the study, it was found that 'convenience', 'ubiquity', and 'self-efficacy' among the independent variables had a positive (+) effect on mediation variable 'perceived usefulness'. 'Perceived usefulness' was analyzed to have a significant influence on the dependent variable 'usage intention'. According to users' gender, internet usage time, internet shopping frequency, online charging frequency and transportation card usage type, the moderating effect was significant on 'perceived usefulness' and 'usage intention'. As an implication, it was suggested that service improvement and differentiated marketing are needed in direction of increasing the usefulness of services. Additional research directions were proposed for services such as e-wallets, prepaid points and digital currencies by adding other factors and moderate variables.

• Journal of Intelligence and Information Systems
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• v.20 no.4
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• pp.1-23
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• 2014

Market forecasting aims to estimate the sales volume of a product or service that is sold to consumers for a specific selling period. From the perspective of the enterprise, accurate market forecasting assists in determining the timing of new product introduction, product design, and establishing production plans and marketing strategies that enable a more efficient decision-making process. Moreover, accurate market forecasting enables governments to efficiently establish a national budget organization. This study aims to generate a market growth curve for ICT (information and communication technology) goods using past time series data; categorize products showing similar growth patterns; understand markets in the industry; and forecast the future outlook of such products. This study suggests the useful and meaningful process (or methodology) to identify the market growth pattern with quantitative growth model and data mining algorithm. The study employs the following methodology. At the first stage, past time series data are collected based on the target products or services of categorized industry. The data, such as the volume of sales and domestic consumption for a specific product or service, are collected from the relevant government ministry, the National Statistical Office, and other relevant government organizations. For collected data that may not be analyzed due to the lack of past data and the alteration of code names, data pre-processing work should be performed. At the second stage of this process, an optimal model for market forecasting should be selected. This model can be varied on the basis of the characteristics of each categorized industry. As this study is focused on the ICT industry, which has more frequent new technology appearances resulting in changes of the market structure, Logistic model, Gompertz model, and Bass model are selected. A hybrid model that combines different models can also be considered. The hybrid model considered for use in this study analyzes the size of the market potential through the Logistic and Gompertz models, and then the figures are used for the Bass model. The third stage of this process is to evaluate which model most accurately explains the data. In order to do this, the parameter should be estimated on the basis of the collected past time series data to generate the models' predictive value and calculate the root-mean squared error (RMSE). The model that shows the lowest average RMSE value for every product type is considered as the best model. At the fourth stage of this process, based on the estimated parameter value generated by the best model, a market growth pattern map is constructed with self-organizing map algorithm. A self-organizing map is learning with market pattern parameters for all products or services as input data, and the products or services are organized into an $N{\times}N$ map. The number of clusters increase from 2 to M, depending on the characteristics of the nodes on the map. The clusters are divided into zones, and the clusters with the ability to provide the most meaningful explanation are selected. Based on the final selection of clusters, the boundaries between the nodes are selected and, ultimately, the market growth pattern map is completed. The last step is to determine the final characteristics of the clusters as well as the market growth curve. The average of the market growth pattern parameters in the clusters is taken to be a representative figure. Using this figure, a growth curve is drawn for each cluster, and their characteristics are analyzed. Also, taking into consideration the product types in each cluster, their characteristics can be qualitatively generated. We expect that the process and system that this paper suggests can be used as a tool for forecasting demand in the ICT and other industries.