• Journal of agricultural medicine and community health
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• v.41 no.3
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• pp.129-139
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• 2016

Objective: The purpose of this study was to identify the predictors and frailty level in the frail elderly receiving home visiting health care services. Methods: The subjects were 177 frail elders aged over 65 registered in the home visiting health care services of three public health centers in Daegu. The data collection was performed from June 9 to June 24, 2015. This study used descriptive statistics, t-test, ANOVA, scheffe test and stepwise multiple regression by SPSS Win 18.0 program. Results: The mean of the frailty score was 10.05 (${\pm}4.52$). Age and life satisfaction were the significant factors related to the frailty score in frail elderly. Health promotion behavior, empowerment, social participation and perceived health status had a negative correlation with the frailty score. Thirty seven point four percent of the variance in the frailty score can be explained by perceived health status (${\beta}=-0.398$, p<0.001), health promotion behavior (${\beta}=-0.251$, p<0.001) and age (${\beta}=0.232$, p<0.001)(Cum $R^2=0.374$, F=25.744, p<0.001). Perceived health status was the most important factor related to the frailty score in our study. Conclusions: An integrative care program which includes these significant variables of subjects is essential to prevent the deterioration of frailty in frail elderly.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.27 no.2
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• pp.169-175
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• 2009

According as standard of measurement is changed to world geodetic system by surveying law revision, we need to transform previous 1/1,000 digital maps as a standards of world geodetic system. And, we should acquire standard strategy to minimize confusion and error by conversion of geodetic surveying standards. Thus, conversion of digital maps must be transformed efficiently and consistently according to notice of relevant standard. As common point, we have used 1/1,000 digital map and local geodetic system coordinates and world geodetic system coordinates that had been used in UIS business of Pusan city and, make a analysis of distortion quantity using KASM Trans Ver 2.2. As the result of distortion quantity calculation about all Pusan city, numbers of area that error is over 0.05m are 35 in case of X(N) and 43 in case of Y(E). Because some business section have especially much error, we divided into 3 areas, that was A,B,C, and analyzed. As a result of analysis, errors of more than 0.05m are occurred only 1 X(E) in the B area and 1 X(N) and 1 Y(E) in the C area. In conclusion, We think It is a good method that we consider a distortion quantity and divide a region, and transfer to world geodetic system for large area like Pusan city.

• Journal of the Korea Convergence Society
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• v.11 no.3
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• pp.321-331
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• 2020

The purpose of this study is to identify the educational status, e,ducation needs and competencies of nurses in the regional trauma intensive care unit. The questionnaires were collected from 123 nurses from 5 hospitals in the regional intensive Care Unit trauma. Data collection consisted of the education importance and needs of the nurses in the intensive Care Unit nurses and the competence of nurses. The analysis was analyzed by descriptive analysis, t-test, and one-way ANOVA, Pearson correlation using the SPSS 21.0 program. The results showed that 78.9% had experience in trauma-intensive care nursing. In the case of the importance of trauma education, 'attitud'e was 3.64, followed by 'knowledge' was 3.52 and 'skill' was 3.47. In the analysis of the educational needs of the trauma service, 'knowledge' was highest at 3.18, 'attitude' was 3.05, and 'skill' was 2.97. The nurses' ethical competence was the highest with 3.62, followed by aesthetic competence was 3.53, personal competence was 3.39, and scientific competence was 3.37. In conclusion, it is necessary to focus on the standardized curriculum and practice-oriented education development of trauma nursing education at the present time and applicable. In addition, it is necessary to seek strategies for enhancing the professionalism and nursing competence of the trauma intensive care unit nurse.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.5
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• pp.3111-3120
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• 2015

This research analyzes the decision-making status of expected graduates depending on their Holland preference type, as well as the influence career worries have on vocational decision status. By discovering this mediating effect, career counselors can carry out counseling based on the variety of career worries college students have, further supporting self-actualization of the client. As the previous studies on group counseling programs and the effects of career counseling have not yet considered the difference between various types of career worries and carried out identical programs and counseling method, this study is significant in marking the emergence of differentiated counseling intervention and strategy for more effective career counseling. This research is based on a survey conducted on 606 expected graduates attending six 4-year universities in Seoul, Gyeonggi, Chungcheong areas. The students surveyed are in the second semester of their senior (4th)years, during two weeks from november 4, 2013. First, the results showed that the level of career worries and the type of career worries differed between college students that have different types of Holland preference, and such difference was meaningful. Second, examination on the influences that career worries have on different vocational decisions depending on Holland preference types, found that the state of anxiety-free and anxiety toward career and dependence, as one of vocational decision types, together work as mediators. In conclusion, the significance of this research lies on that it reveals the mediating effects that career worries have on vocational decision status of college students.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.37 no.1
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• pp.68-75
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• 2019

This study aims to look at the application methods of landscape architecture in response to the 4th Industrial Revolution. The results of the analysis of trends in the 4th Industrial Revolution and the subsequent search for application methods to the field of landscape architecture are as follows. First, the 4th Industrial Revolution means innovative change based on digital technology and seeks to create value based on intelligent information technology, and continuous growth is being made through innovation. This requires expertise to collect large amounts of information and creatively rework it, and a strategy to flexibly cope with changes in the times. Second, the status of technological use in response to the 4th Industrial Revolution in the field of landscape architecture is generalizing the establishment of precise analysis results such as survey technology and global mapping using drones, three-dimensional design simulation, and VR. In the field of traditional landscape architecture, efforts are made to obtain accurate fact-finding data on landscape site components. Third, the application methods in the field of landscape science according to the 4th Industrial Revolution in the future are required to supply precision technology and supply programs in the technology sector, and to provide a shared platform. In addition, a systemically standardized process will need to be established for this. In addition, educational efforts should be continued to professional manpower training and provide economic support for the development of technologies.

• Journal of the Korean Society of Radiology
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• v.15 no.4
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• pp.507-518
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• 2021

Magnetic resonance imaging (MRI) is a key technology that has been seeing increasing use in studying the structural and functional innerworkings of the brain. Analyzing the variability of brain connectome through tractography analysis has been used to increase our understanding of disease pathology in humans. However, there lacks standardization of analysis methods for small animals such as mice, and lacks scientific consensus in regard to accurate preprocessing strategies and atlas-based neuroinformatics for images. In addition, it is difficult to acquire high resolution images for mice due to how significantly smaller a mouse brain is compared to that of humans. In this study, we present an Allen Mouse Brain Atlas-based image data analysis pipeline for structural connectivity analysis involving structural region segmentation using mouse brain structural images and diffusion tensor images. Each analysis method enabled the analysis of mouse brain image data using reliable software that has already been verified with human and mouse image data. In addition, the pipeline presented in this study is optimized for users to efficiently process data by organizing functions necessary for mouse tractography among complex analysis processes and various functions.

• Journal of the Korea Convergence Society
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• v.12 no.4
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• pp.259-266
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• 2021

This study is a study to systematize the R&D activities of social enterprises to derive a logical model of the R&D support policy, and aims to systematize the R&D activities based on the R&D demand survey and R&D activity analysis of social enterprises. R&D activities of social enterprises are at an early stage or are not systematic compared to general enterprises, so the process modeling method is used to group detailed activity elements to standardize and systemize them. As a result of the research, social enterprises are aware of the necessity and importance of R&D activities to secure competitiveness of products and services to increase social value, and because of their lack of R&D experience and capabilities, R&D specialized institutes (R&D planning institutes, government-funded research institutes), Universities, etc.) and are expected to improve R&D capabilities. The performance indicators of social enterprise R&D activities are derived in units of input-process-performance indicators through demand survey, activity analysis, and in-depth interview (FGI), and the logical model of R&D support policy is in the areas related to business strategy and performance.

• Journal of the Society of Disaster Information
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• v.17 no.2
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• pp.245-253
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• 2021

Purpose: This study develops a risk prediction model that predicts the risk of a fire site by using initial information such as building information and reporter acquisition information, and supports effective mobilization of fire fighting resources and the establishment of damage minimization strategies for appropriate responses in the early stages of a disaster. Method: In order to identify the variables related to the fire damage scale on the fire statistics data, a correlation analysis between variables was performed using a machine learning algorithm to examine predictability, and a learning data set was constructed through preprocessing such as data standardization and discretization. Using this, we tested a plurality of machine learning algorithms, which are evaluated as having high prediction accuracy, and developed a risk prediction model applying the algorithm with the highest accuracy. Result: As a result of the machine learning algorithm performance test, the accuracy of the random forest algorithm was the highest, and it was confirmed that the accuracy of the intermediate value was relatively high for the risk class. Conclusion: The accuracy of the prediction model was limited due to the bias of the damage scale data in the fire statistics, and data refinement by matching data and supplementing the missing values was necessary to improve the predictive model performance.

• Journal of Korea Entertainment Industry Association
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• v.15 no.5
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• pp.163-173
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• 2021

This study tried to develop and implement a class model that can apply the teaching method that can operate learner-centered classes in university education to the class operation of the entire university, not individuals. For the development of the instructional model, the final model was derived through analysis of prior research, expert review, derivation of instructional model and design principles, pilot operation, primary questionnaire analysis, model and design strategy revision, and secondary questionnaire analysis. Shift_N⁺¹ class consists of 6 models, and each model was divided into 3 parts. It was a preliminary learning using video, a face-to-face class for question-and-answer and in-depth learning on the core content, and feedback and process evaluation for individual student. We have built our own computer system so that we can implement this every week. The teaching method model that can apply the learner-centered curriculum to all classes at the university was standardized. The Shift_N⁺¹ teaching method seeks to maximize the learner-centered learning effect by reflecting the characteristics of the subject, and to improve the quality of education by identifying students' achievements by week.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.9-20
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• 2022

Supply chain attacks target critical infrastructure, causing large amounts of damage and evolving into a threat to public safety and national security. Accordingly, when establishing cybersecurity strategies and policies, supply chain risk management is specified to enhance security, and the US Biden administration recently issued the Executive Order on Improving the Nation's Cybersecurity, SBOM was mentioned as part of the guidelines for strengthening software supply chain security. If the government mandates SBOM and uses it as a security verification tool for supply chains, it can be affected by the domestic procurement system in the future and can be referenced when establishing a security system for domestic supply chains according to the progress of policy implementation. Accordingly, in this paper, countries that are promoting the SBOM policy as a way to strengthen the security of the software supply chain were selected and analyzed with a focus on related cases. In addition, through comparison and analysis of foreign SBOM policy trends, methods for using domestic SBOM in terms of technology, policy, and law were considered. As the value of using SBOM as a supply chain integrity/transparency verification tool is expected in the future, it is necessary to continuously identify trends in the establishment of international standardization and policy development for SBOM and study the standard format.