• Journal of Digital Convergence
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• v.17 no.5
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• pp.191-205
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• 2019

This study investigated the relationship of authentic leadership(AL) with positive psychological capital(PPC) and teamwork competence(TC) and the mediation effect of PPC to facilitate theoretical and practical development of AL. For the empirical analysis, data were collected from the sample of 172 nurses working at general hospitals. Collected data were analyzed with factor analysis, correlation analysis, multiple regression analysis, mediated regression analysis using SPSS 21.0 to test the hypotheses. Results showed that the AL was positively related to the PPC as well as TC and the PPC was positively related to the TC. And further, the PPC is found as playing as a partial mediator on the relationship between the AL and the TC. These results provided the positive influence of authentic leadership on work team. Based on these results, practical implications were discussed for effectiveness of nurse organizations. Lastly, limitations were indicated and some possible directions for authentic leadership and its relationship to work team were suggested for future studies.

• Journal of Industrial Convergence
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• v.17 no.1
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• pp.33-39
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• 2019

The purpose of this study was to present the direction and implications of urban development in relation to climate risk factors and environment for practical implementation of urban development in response to climate change. The research method was carried out through a qualitative data survey and analysis. As a result of the study, the direction of urban development according to the climate risk factors emphasized the importance of preparing conditions for urban development by establishing a damage prevention system for natural disasters and analyzing the risk of natural disasters by conducting analysis of the impact and vulnerability of climate change in urban planning. The direction of urban development on the environmental side suggested the need for the promotion of public transport oriented development (TOD) in the form of urban planning to realize sustainable and practical urban development. Future research directions will need to be supplemented with more quantitative and empirical findings.

• Journal of Korea Trade
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• v.25 no.5
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• pp.58-73
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• 2021

Purpose - In the context of economic globalization and the continuous development of international trade, as countries around the sea peninsula, port construction is particularly important. Based on the research on the influencing factors of port logistics development based on the allocation analysis, QCA (Qualitative Comparative Analysis) provides the basis for the planning and policy of port logistics development and has important theoretical value and practical significance for improving the level of port logistics management, reducing logistics operating costs and increasing economic benefits. In the tide of global integration for the development of port logistics, promote the growth of foreign trade economy of the city. It is also of great significance to the development and progress of commerce and trade. Design/methodology - Based on the relevant data samples of various ports in South Korea, this paper uses fsQCA (fuzzy set Qualitative Comparative Analysis) to integrate and analyze the influence mechanism of port logistics development and extracts five influencing factors of port logistics development, including the port's scale and infrastructure in the hard environment, port-neighboring enterprises in the soft environment, hinterland economy and government support. Findings - The five factors are unable to separately constitute the necessary and sufficient conditions of port logistics development, only a combined model can influence lake port logistics development. The scale and infrastructure of the port itself and port-neighboring ring enterprises are the main core conditions, which work together on the port, affect the throughput capacity of the port, and promote the development of port logistics. When the port-neighboring enterprises are not complete and the scale is low, the growth of port throughput will be restrained and the development of port logistics will be affected, whether the hinterland economic benefits are general, the development of port-neighboring enterprises is insufficient, or the government supports are limited. Originality/value - Through the research on the development of port logistics in South Korea from the perspective of configuration, this paper finds the configuration influence of hard environment and soft environment on the development of port logistics, which has important theoretical and practical significance for better promoting the development of port logistics in South Korea.

• Journal of Internet of Things and Convergence
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• v.8 no.6
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• pp.85-92
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• 2022

Demand for big data analysis and AI developers is increasing, but there is a lack of an education base to supply them. In this paper, by developing a cloud-based artificial intelligence education platform, the goal was to establish an environment in which practical practical training can be efficiently learned at low cost at educational institutions and IT companies. The development of the education platform was carried out by planning scenarios for each user, architecture design, screen design, implementation of development functions, and hardware construction. This training platform consists of a containerized workload, service management platform, lecture and development platform for instructors and students, and secured cloud stability through real-time alarm system and age test, CI/CD development environment, and reliability through docker image distribution. The development of this education platform is expected to expand opportunities to enter new businesses in the education field and contribute to fostering working-level human resources in the AI and big data fields.

• Journal of the Korea Society of Computer and Information
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• v.26 no.2
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• pp.193-199
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• 2021

The purpose of this study was to apply a teaching method that fits the characteristics of learners through the improvement and application of subjects for reinforcing SWP, and to seek ways to strengthen field practice. As a result of the study, first, as a method of applying learner motivation, it is necessary to conduct discussions by inviting practitioners in the field, and to watch the progress of projects by type of social welfare site. Second, as a way to participate in learners, it is necessary to analyze excellent proposals, participate in events held at welfare sites, present various dilemma cases in the field, and try to overcome ethical dilemmas by sharing cases overcoming dilemma, and to make efforts to list practical skills required in social welfare field practice. Third, it is necessary to apply such methods as phone calls, e-campus, Kakao Talk, Zoom, and counseling techniques that are conducted in the case management process as a way to apply interaction, and discuss issues that are important in the welfare field.

• International Journal of Computer Science & Network Security
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• v.21 no.2
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• pp.212-220
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• 2021

The objectives of this research were to identify the digital competencies required for information science specialists at Saudi universities and to examine whether there existed conspicuous differences in the standpoint of these specialists due to years of work experience with regard to the importance of these competencies. A descriptive analytical method was used to accomplish these objectives while extracting the required digital competency list and ascertaining its importance. The research sample comprised 24 experts in the field of information science from several universities in the Kingdom of Saudi Arabia. The participants in the sample were asked to complete a questionnaire prepared to acquire the pertinent data in the period between January 5, 2021 and January 20, 2021. The results reveal that the digital competencies required for information science specialists at Saudi universities encompass general features such as the ability to use computer, Internet, Web2, Web3, and smartphone applications, digital learning resource development, data processing (big data) and its sharing via the Internet, system analysis, dealing with multiple electronic indexing applications and learning management systems and its features, using electronic bibliographic control tools, artificial intelligence tools, cybersecurity system maintenance, ability to comprehend and use different programming languages, simulation, and augmented reality applications, and knowledge and skills for 3D printing. Furthermore, no statistically significant differences were observed between the mean ranks of scores of specialists with less than 10 years of practical experience and those with practical experience of 10 years or more with regard to conferring importance to digital competencies.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.1
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• pp.60-70
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• 2021

Recently, with the development of technologies for the fourth industrial revolution, convergence and complex technology are being applied to aircraft, electronic home appliances and mobile devices, and the number of parts used is increasing. Increasing the number of parts and the application of convergence technologies such as HW (hardware) and SW (software) are increasing the No Defect Found (NDF) phenomenon in which the defect is not reproduced or the cause of the defect cannot be identified in the subsequent investigation systems after the discovery of the defect in the product. The NDF phenomenon is a major problem when dealing with complex technical systems, and its consequences may be manifested in decreased safety and dependability and increased life cycle costs. Until now, NDF-related prior studies have been mainly focused on the NDF cost estimation, the cause and impact analysis of NDF in qualitative terms. And there have been no specific methodologies or examples of a working-level perspective to reduce NDF. The purpose of this study is to present a practical methodology for reducing NDF phenomena through data mining methods using quantitative data accumulated in the enterprise. In this study, we performed a cluster analysis using market defects and design-related variables of mobile devices. And then, by analyzing the characteristics of groups with high NDF ratios, we presented improvement directions in terms of design and after service policies. This is significant in solving NDF problems from a practical perspective in the company.

• Earthquakes and Structures
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• v.22 no.2
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• pp.169-184
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• 2022

The importance of seismicity in developing countries and the strengthening of buildings is a topic of major importance. Therefore, the study of several solutions with the development of new technologies is of great importance to investigate the damage on retrofitted structures by using probabilistic methods. The Federal Emergency Management Agency considers three types of performance levels by considering different scenarios, intensity and duration. The selection and scaling of ground motions mainly depends on the aim of the study. Intensity-based assessments are the most common and compute the response of buildings for a specified seismic intensity. Assessments based on scenarios estimate the response of buildings to different earthquake scenarios. A risk-based assessment is considered as one of the most effective. This research represents a practical method for developing countries where exists many active faults, tall buildings and lack of good implementable approaches. Therefore, to achieve the main goal, two high-rise steel buildings have been modeled and assessed. The contribution of buckling-restrained braces in the elastic design of both buildings is firstly verified. In the nonlinear static range, both buildings presented repairable damage at the central top part and some life safety hinges at the bottom. The nonlinear incremental dynamic analysis was applied by 15 representative/scaled accelerograms to obtain levels of performance and fragility curves. The results shown that by using probabilistic methods, it is possible to estimate the probability of collapse of retrofitted buildings by buckling-restrained braces and tuned mass dampers, which are practical retrofitting options to protect existing structures against earthquakes.

• The Korean Journal of Emergency Medical Services
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• v.26 no.3
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• pp.121-135
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• 2022

Purpose: The purpose of this study was to develop a training protocol to standardize the management of mass casualties as part of the disaster response, and to verify the effectiveness of the training protocol. Methods: The study was conducted as a quasi-experimental study with a non-equivalent control group and pretest-posttest design. The protocol was divided into 5 parts, the first for the advance party, the second for the rescue team, the third for the paramedic team, the fourth for the ambulance team, and the fifth for the 119 EMS team. This study was conducted on November 15, 2021 and consisted of 21 subjects in the final experimental group and 23 subjects in the control group. In this study, the prior homogeneity test was analyzed using the χ²-test, intragroup comparisons were analyzed using the paired t-test, and intragroup comparisons were analyzed using the independent t-test. Results: The protocol was developed in five parts: advance party, rescue team, paramedics team, ambulance team, and 119 EMS team. In verifying the effectiveness of the protocol, it was found that there were significant differences in self-efficacy (t=-0.941, p=0.001) and self confidence within the group (t=-0.025, p=0.001) after the implementation of the mass casualty incident response training program. However, there was no significant difference between the experimental and control groups. Conclusion: Based on the findings of this study, it is believed that disaster response personnel can experience lower levels of anxiety and tension in disaster situations if they receive practical and realistic education and training. In the future, it is necessary to enhance protocol based practical education that can improve the knowledge and skills of each team and individual.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.745-750
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• 2021

In Big data visualization analysis of unstructured text data, raw data is mostly large-capacity, and analysis techniques cannot be applied without cleansing it unstructured. Therefore, from the collected raw data, unnecessary data is removed through the first heuristic cleansing process and Stopwords are removed through the second machine cleansing process. Then, the frequency of the vocabulary is calculated, visualized using the word cloud technique, and key issues are extracted and informationalized, and the results are analyzed. In this study, we propose a new Stopword cleansing technique using an external Stopword set (DB) in Python word cloud, and derive the problems and effectiveness of this technique through practical case analysis. And, through this verification result, the utility of the practical application of word cloud analysis applying the proposed cleansing technique is presented.