• Korea Journal of Hospital Management
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• v.8 no.2
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• pp.24-48
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• 2003

It is important how the leader leads the organizational members with leadership appropriate to environment changes as the leader has great influence on the management of hospital organization. These data were collected from the questionnaire surveyed, from February 14 through February 28, 2003, to 218 people among those in the field of doctorship, management administration, nursing, technology, medical engineering, management engineering, and general affairs, working for three hospitals under S medical foundation in Pusan. The principal findings of this research are as below : 1. Type of leadership and job satisfaction had positive correlation in terms of both transformational and transactional leadership, with former having more relation than the latter. 2. Type of leadership and organizational commitment had positive correlation in terms of intellectual stimulus and situational rewards, having little relation statistically. 3. Type of leadership and turnover intentions had negative correlation only in individual consideration, situational rewards, and exceptional management, showing that transactional leadership had more relation than transformational leadership. 4. In terms of leadership and its effect on the organizational performance and turnover intentions, transformational leadership had more correlation than transactional leadership. But transactional leadership also turned out to have effect on organizational performance. When transformational leadership used, turnover intentions were lower than when transactional leadership used. However, both transformational and transactional leadership had negative correlation to turnover intentions. 5. Effect that type of leadership according to job classification, status, age, and academic career has on organizational performance and turnover intentions was differed by those factors; especially, in the occupation of doctor, both transformational and transactional leadership had positive correlation to turnover intentions. 6. Regression analysis on the factors of organizational performance and turnover intentions showed that higher age had positive correlation to the organizational performance in terms of socio-demographical features and that the more leadership was used for charismatic and situational rewards and the less leadership was used for intellectual stimuli, the higher organizational performance was likely. In short, hospital operators and managers should examine each manager's qualification, type, and style of leadership in the hospital organization, and they must develop lasting programs for effective education and training for developing characteristics of leadership are in needed to have managers with appropriate managerial mind to respective post and status. It should be kept in mind that manager's leadership especially has great effect on members' goal-setting, goal-achievement, organizational performance, and turnover intentions as it is a decisive factor of organizational members' attitude and motivation.

• Journal of the Korea Convergence Society
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• v.11 no.5
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• pp.19-25
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• 2020

As the number of mobile device users increases, research on various user authentication methods has been actively conducted to protect sensitive personal information. Knowledge-based techniques have the disadvantage that security is deteriorated due to easy exposure of authentication means, and proprietary-based techniques have a problem of increasing construction cost and low user convenience to use the service. In order to solve this problem, a FIDO authentication system, which is a user authentication method using a smart device, has been proposed. Since the FIDO authentication system performs authentication based on the biometric information of the user, the risk of the authentication means being leaked is low, and since the authentication information is stored in the user's smart device, the user information due to server hacking is solved. Through this, it is possible to select and utilize user authentication technology suitable for the security level of the service. In this paper, we introduce the FIDO authentication system, explain the main parts required for FIDO UAF client-server development, and show examples of implementation using UAF open source provided by ebay.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.6
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• pp.725-731
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• 2020

In mineral resource development, resource exploration is a task to find economical minerals on the surface and underground, and the success rate is low compared to the development and production stages, and it is necessary to collect a lot of data through exploration and accurately analyze the collected information. In this study, mine spatial information was constructed using a 3D (Three-dimensional) laser scanner, and accuracy evaluation was performed to obtain a maximum deviation of 0.140 m and an average of 0.095 m in the X, Y and Z directions, and the possibility of utilizing the construction of mine geospatial information through a 3D laser scanner could be presented. In addition, the ore body modeling was performed by applying the interpolation method of the ore body section using the resource exploration results. The ore body modeling result was superimposed with the modeling result of the mine geospatial information built through the 3D laser scanner to construct the ore body modeling result based on the precise mine geospatial information. The results of ore body modeling based on mine geospatial information built through research can increase the ease of data interpretation and the accuracy of the calculated data, which will greatly increase the efficiency of work related to mineral resource development and mine damage prevention in the future.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.1
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• pp.55-63
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• 2021

The roughness of the road is an important factor directly connected to the ride comfort, and is an evaluation item for functional evaluation and pavement quality management of the road. In this study, data on the road surface were acquired using the latest 3D geospatial information construction technology of ground LiDAR, drone photogrammetry, and drone LiDAR, and the accuracy and roughness of each method were analyzed. As a result of the accuracy evaluation, the average accuracy of terrestrial LiDAR were 0.039m, 0.042m, 0.039m RMSE in X, Y, Z direction, and drone photogrammetry and drone LiDAR represent 0.072~0.076m, 0.060~0.068m RMSE, respectively. In addition, for the roughness analysis, the longitudinal and lateral slopes of the target section were extracted from the 3D geospatial information constructed by each method, and the design values were compared. As a result of roughness analysis, the ground LiDAR showed the same slope as the design value, and the drone photogrammetry and drone LiDAR showed a slight difference from the design value. Research is needed to improve the accuracy of drone photogrammetry and drone LiDAR in measurement fields such as road roughness analysis. If the usability through improved accuracy can be presented in the future, the time required for acquisition can be greatly reduced by utilizing drone photogrammetry and drone LiDAR, so it will be possible to improve related work efficiency.

• Journal of the Korea Institute of Building Construction
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• v.21 no.6
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• pp.689-700
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• 2021

Due to the COVID-19 pandemic, higher education in South Korea has rapidly shifted online. In addition, the advent of the Fourth Industrial Revolution has highlighted the need to introduce innovation teaching methods. To cope with these changes and demands, the learning management system used by domestic universities must therefore be improved. This study developed a learning management system for the application of team-based learning to improve and develop the learning management system of domestic universities. The major research findings are as follows. The analysis results showed that there is not sufficient function to apply new innovation teaching methods, such as team-based learning, in the current learning management system of domestic universities. Therefore, a learning management system capable of supporting team-based learning courses was developed in this study. The system consisted of 'pre-class learning,' 'team activities' and 'participation learning,' which were further classified into nine sub-items. In the future, a survey of system users is planned in order to further improve the system. It is believed that if the proposed learning management system were introduced to domestic universities, it would improve the educational environment and contribute to the spread and use of innovative teaching methods.

• The Journal of Advanced Prosthodontics
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• v.13 no.4
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• pp.226-236
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• 2021

PURPOSE. This study aimed to evaluate the effect of incorporating zirconium oxide nanoparticles (nano-ZrO₂) in polymethylmethacrylate (PMMA) denture base resin on flexural properties at different material thicknesses. MATERIALS AND METHODS. Heat polymerized acrylic resin specimens (N = 120) were fabricated and divided into 4 groups according to denture base thickness (2.5 mm, 2.0 mm, 1.5 mm, 1.0 mm). Each group was subdivided into 3 subgroups (n = 10) according to nano-ZrO₂ concentration (0%, 2.5%, and 5%). Flexural strength and elastic modulus were evaluated using a three-point bending test. One-way ANOVA, Tukey's post hoc, and two-way ANOVA were used for data analysis (α = .05). Scanning electron microscopy (SEM) was used for fracture surface analysis and nanoparticles distributions. RESULTS. Groups with 0% nano-ZrO₂ showed no significant difference in the flexural strength as thickness decreased (P = .153). The addition of nano-zirconia significantly increased the flexural strength (P < .001). The highest value was with 5% nano-ZrO₂ and 2 mm-thickness (125.4 ± 18.3 MPa), followed by 5% nano-ZrO₂ and 1.5 mm-thickness (110.3 ± 8.5 MPa). Moreover, the effect of various concentration levels on elastic modulus was statistically significant for 2 mm thickness (P = .001), but the combined effect of thickness and concentration on elastic modulus was insignificant (P = .10). CONCLUSION. Reinforcement of denture base material with nano-ZrO₂ significantly increased flexural strength and modulus of elasticity. Reducing material thickness did not decrease flexural strength when nano-ZrO₂ was incorporated. In clinical practice, when low thickness of denture base material is indicated, PMMA/nano-ZrO₂ could be used with minimum acceptable thickness of 1.5 mm.

• Journal of the Korean Association of Geographic Information Studies
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• v.25 no.4
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• pp.163-180
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• 2022

Real estate data can be big data. Because the amount of real estate data is growing rapidly and real estate data interacts with various fields such as the economy, law, and crowd psychology, yet is structured with complex data layers. The existing Relational Database tends to show difficulty in handling various relationships for managing real estate big data, because it has a fixed schema and is only vertically extendable. In order to improve such limitations, this study constructs the real estate data in a Graph Database and verifies its usefulness. For the research method, we modeled various real estate data on MySQL, one of the most widely used Relational Databases, and Neo4j, one of the most widely used Graph Databases. Then, we collected real estate questions used in real life and selected 9 different questions to compare the query times on each Database. As a result, Neo4j showed constant performance even in queries with multiple JOIN statements with inferences to various relationships, whereas MySQL showed a rapid increase in its performance. According to this result, we have found out that a Graph Database such as Neo4j is more efficient for real estate big data with various relationships. We expect to use the real estate Graph Database in predicting real estate price factors and inquiring AI speakers for real estate.

• Journal of Aerospace System Engineering
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• v.17 no.4
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• pp.34-42
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• 2023

This study aims to analyze safety reports received through the recently added SMS safety self-report in the Air Force's "integrated air control management" system, identify hazards, present improvements by region (base), and lay the foundation for future data-based safety management. To identify risk factors, it was first classified by base based on data classified into 16 groups in the autonomous reporting system, and second classified in detail based on the type and description. Risk factors were analyzed for the most reported control cooperation (306) items, and improvements were derived by dividing risk factors into information sharing, regulations, procedures, education, training, and equipment items based on the analysis results. It was confirmed that risk factors and specific improvements vary by base (12), which is important data that can present statistical analysis and the direction of safety management in the flight control field by base (region). In addition, since there is no data-based risk factor analysis study for each specific base (region), it can be used in the future as basic research data for data-oriented safety management.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.5
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• pp.961-969
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• 2017

Today, the world is experiencing a variety of natural disasters due to the extreme weather. Drought that occurred throughout Southeast Asia from February to May 2016 is also a form of abnormal climate. As a result of this drought, five countries, including Cambodia, Thailand, Vietnam, Laos and Myanmar, faced food shortages, food shortages, as well as rice yields for export. In this study, remote sensing technique was applied to the vicinity of Tonlé Sap, the largest lake in Southeast Asia, to quantitatively analyze the damage caused by drought. As a result, the change of land cover caused a drastic decrease in the water system (132.582㎢) and greenery (706.937㎢) in February 2016, and the reduced water system and greenery changed to dry land and paddy field. It was also found that the temperature rise of 6℃ ~ 8 ℃ compared to the previous year due to the drought from February to April 2016 due to the change of the surface temperature. And it was found that the function of the lake was deteriorated in April due to continuous drought.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.26 no.5
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• pp.19-32
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• 2023

The fragmentation of habitats resulting from human activities leads to the isolation of wildlife and it also causes wildlife-vehicle collisions (i.e. Road-kill). In that sense, it is important to predict potential habitats of specific wildlife that causes wildlife-vehicle collisions by considering geographic, environmental and transportation variables. Road-kill, especially by large mammals, threatens human safety as well as financial losses. Therefore, we conducted this study on roe deer (Capreolus pygargus tianschanicus), a large mammal that causes frequently Road-kill in Jeju Island. So, to predict potential wildlife habitats by considering geographic, environmental, and transportation variables for a specific species this study was conducted to identify high-priority restoration sites with both characteristics of potential habitats and road-kill hotspot. we identified high-priority restoration sites that is likely to be potential habitats, and also identified the known location of a Road-kill records. For this purpose, first, we defined the environmental variables and collect the occurrence records of roe deer. After that, the potential habitat map was generated by using Random Forest model. Second, to analyze roadkill hotspots, a kernel density estimation was used to generate a hotspot map. Third, to define high-priority restoration sites, each map was normalized and overlaid. As a result, three northern regions roads and two southern regions roads of Jeju Island were defined as high-priority restoration sites. Regarding Random Forest modeling, in the case of environmental variables, The importace was found to be a lot in the order of distance from the Oreum, elevation, distance from forest edge(outside) and distance from waterbody. The AUC(Area under the curve) value, which means discrimination capacity, was found to be 0.973 and support the statistical accuracy of prediction result. As a result of predicting the habitat of C. pygargus, it was found to be mainly distributed in forests, agricultural lands, and grasslands, indicating that it supported the results of previous studies.