• Journal of the Korean Society for Library and Information Science
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• v.53 no.1
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• pp.5-31
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• 2019

In this study, in order to foster human resources equipped with expertise in libraries and spatial organization that contributes to the development of libraries, planning, design, and construction, the self-designed library space planning major was developed and the education goal, human resources award, and major capabilities were presented. To this end, the relevant literature analysis, expert opinion collection, and consumer survey were conducted, and the results are as follows. First, the person-in-person awards required for library space planning were identified as space planning personnel, design thinking personnel, and creative working people. Second, the person-specific majors were derived with the ability to analyze the library environment, ability to express spatial concepts, ability to analyze user needs, ability to coordinate interests, ability to understand spatial design, ability to understand spatial design, and ability to apply practical applications. Based on the plan, subjects should be developed that can fulfill the educational goals of the future library space planning major, human resources award, and human resources status, and operation plans should be designed so that the library space planning major can adapt students without fail due to its own design-based major.

• Journal of the Korean Society of Radiology
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• v.13 no.1
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• pp.103-110
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• 2019

The objective of this study was to prepare the baseline data for vocational key competence of radiologists by analyzing the communication skills, problem-solving skills, self-development capability, interpersonal skills, and vocational ethics, which are required by NCS job descriptions for radiologists, of college students majoring in radiology. This study surveyed 79 sophomore and junior college students majoring in radiology at S University from Nov 19 to Nov 30, 2018, using questionnaires and analyzed the levels of vocational key competencies. The analysis results of vocational key competences levels showed that the level of interpersonal skills was the highest (71.2 points for juniors and 74.9 points for seniors). The levels of problem-solving skills and self-development capability were low. Conflict management capability, which is a sub-domain of interpersonal skills, was 77.5 and 80.5 points for juniors and seniors, respectively, which were the highest, while leadership ability was the lowest. When the sub-domains of self-development capability were analyzed, self-recognition capability was the highest (70.0 points for juniors and 74.8 points for seniors) and the career development capability was the lowest. Colleges are required to develop a customized regular curriculum that is well-linked to the clinic in order to improve the vocational key competencies required by the NCS job description to prepare for the blind hiring process. Colleges also put efforts to educate radiologists who can actively cope with rapidly changing medical environment by running various non-regular programs.

• The Journal of Korean Institute of Next Generation Computing
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• v.15 no.5
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• pp.64-74
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• 2019

Although a non-rigid registration has high demands in clinical practice, it has a high computational complexity and it is very difficult for ensuring the accuracy and robustness of registration. This study proposes a method of applying a non-rigid registration to 3D magnetic resonance images of brain in an unsupervised learning environment by using a deep-learning network. A feature vector between two images is produced through the network by receiving both images from two different patients as inputs and it transforms the target image to match the source image by creating a displacement vector field. The network is designed based on a U-Net shape so that feature vectors that consider all global and local differences between two images can be constructed when performing the registration. As a regularization term is added to a loss function, a transformation result similar to that of a real brain movement can be obtained after the application of trilinear interpolation. This method enables a non-rigid registration with a single-pass deformation by only receiving two arbitrary images as inputs through an unsupervised learning. Therefore, it can perform faster than other non-learning-based registration methods that require iterative optimization processes. Our experiment was performed with 3D magnetic resonance images of 50 human brains, and the measurement result of the dice similarity coefficient confirmed an approximately 16% similarity improvement by using our method after the registration. It also showed a similar performance compared with the non-learning-based method, with about 10,000 times speed increase. The proposed method can be used for non-rigid registration of various kinds of medical image data.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.1
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• pp.29-40
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• 2021

Risk factors that threaten public safety such as crime, fire, and traffic accidents have spatial characteristics. Since each region has different dangerous environments, it is necessary to analyze the spatial pattern of risk factors for each sector such as traffic accident, fire, crime, and living safety. The purpose of this study is to analyze the spatial distribution pattern of local safety level index, which act as an index that rates the safety level of each sector (traffic accident, fire, crime, living safety, suicide, and infectious disease) for basic local governments across the nation. The following analysis tools were used to analyze the spatial autocorrelation of local safety level index : Global Moran's I, Local Moran's I, and Getis-Ord's G⁎i. The result of the analysis shows that the distribution of safety level on traffic accidents, fire, and suicide tends to be more clustered spatially compared to the safety level on crime, living safety, and infectious disease. As a result of analyzing significant spatial correlations between different regions, it was found that the Seoul metropolitan areas are relatively safe compared to other cities based on the integrated index of local safety. In addition, hot spot analysis using statistical values from Getis-Ord's G⁎i derived three hot spots(Samchuck, Cheongsong-gun, and Gimje) in which safety-vulnerable areas are clustered and 15 cold spots which are clusters of areas with high safety levels. These research findings can be used as basic data when the government is making policies to improve the safety level by identifying the spatial distribution and the spatial pattern in areas with vulnerable safety levels.

• The Journal of the Convergence on Culture Technology
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• v.8 no.2
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• pp.117-129
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• 2022

The ability to creatively pursue new knowledge and perspectives across various disciplines has established itself as a basic literacy for living in the 21st-century convergence era. With the development of various creative education programs, assessment tools that can objectively and systematically evaluate learners' academic achievement are also required. Therefore, this paper proposed the self assessment, peer assessment, creativity assessment, and reflection tool based on the hyper blended practical model as assessment tools for creative convergence education programs for elementary and secondary school students. The developed assessment tools attempted to develop more completed evaluation methods by modifying two items and deleting four items through validity tests. In addition, the evaluation tool was applied to 596 elementary and secondary school students nationwide, and the application results were analyzed through one-way ANOVA and Wordcloud system. As a result of the analysis, it was found that the self assessment and the reflection tool need to develop questions according to the grade group. In addition, we proposed to use these assessment tools in blended classes or various educational activities in the changing classroom environment. We hope that this paper provides implications for developing evaluation systems and tools for creative convergence education.

• Journal of the Korea Convergence Society
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• v.13 no.5
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• pp.401-411
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• 2022

The purpose of this study was to identify the convergence factors influencing learning satisfaction of nursing students in the COVID-19 pandemic after applying non-face-to-face mixed classes consisted of both real-time and non-real time distance educations. The participants were 109 nursing students who attended in a university and completed the self-report questionnaire. Data were analyzed using the SPSS 23.0 program. The results showed that the learning flow was 3.41, self-regulated learning ability was 3.75, and learning satisfaction was 3.98. Learning satisfaction showed a positive correlation with learning flow (r=.42, p<.001) and self-regulated learning ability (r=.75, p<.001). In addition, the factors influencing the learning satisfaction of the subjects of this study were self-regulated learning ability (𝛽=.662) followed by 60.6% (F=25.63, p<.001). Therefore, to enhance learning satisfaction of nursing students, it is necessary to increase their self-regulated learning abilities and to develop and apply training program considering the needs of the educational environment change in the post-COVID-19 era.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.1D
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• pp.107-117
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• 2008

Private financing is playing an increasing role in public infrastructure construction projects worldwide. However, private investors/operators are exposed to the financial risk of low profitability due to the inaccurate estimation of facility demand, operation income, maintenance costs, etc. From the operator's perspective, a sound and thorough financial feasibility study is required to establish the appropriate capital structure of a project. Operators tend to reduce the equity amount to minimize the level of risk exposure, while creditors persist to raise it, in an attempt to secure a sufficient level of financial involvement from the operators. Therefore, it is important for creditors and operators to reach an agreement for a balanced capital structure that synthetically considers both profitability and repayment capacity. This paper presents an optimal capital structure model for successful private infrastructure investment. This model finds the optimized point where the profitability is balanced with the repayment capacity, with the use of the concept of utility function and multi-objective GA (Generic Algorithm)-based optimization. A case study is presented to show the validity of the model and its verification. The research conclusions provide a proper capital structure for privately-financed infrastructure projects through a proposed multi-objective model.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.5
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• pp.737-746
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• 2023

As the core infrastructure to lead technical innovation for the fourth industrial revolution, economic value and utilizations of radiowaves are increased rapidly. The objectives of this study are to recognize the growing trend of radio stations that transmit information using radiowaves, a limited resource of the country, and to propose developed plans for the radio stations operation system in line with the changing radio technology and use environment. To be specific, the detailed implementation procedures and methods of the system were derived in accordance with the government's plan to convert the complete inspection of radio stations into a SDoC(Self Declaration of Conformity) by the telco. SDoC is a policy that grants autonomy and responsibility for radio waves interference management to existing telecom operator recognized as having radio stations operating capabilities. It has significance in that the function of radio stations inspection, which is a representative technical regulation, is efficiently distributed to the government and the private sector. This study has significance in providing reference for expediting deregulation in the radiowaves management policy.

• Journal of Korean Home Economics Education Association
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• v.26 no.1
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• pp.119-134
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• 2014

This research looks at the effects of portfolio-based lessons to help female middle school students understand and develop their self identity, and to examine the influence of various factors within the school and home environment. The participants were 256 female middle school students in Gangneung-si, Gangwon-do and the analysis was done using the SPSS/WIN 12.0 program. The 6 portfolio-based teaching lessons were made with the aim of developing each subordinate scope in every module for development of self-receptiveness, uniqueness, closeness, tendency of planning the future, and independence. Results of the pre and post-test revealed that scores of self-receptiveness and uniqueness increased. Content analysis revealed that the students pursued their talents and interests through the portfolio activities, and made specific plans for their future careers. In sum, the results demonstrate that the students became specifically and systematically concerned about their future career. The results of hierarchical regression showed that self-receptiveness developed when their parents' attitudes were not rejecting and their peer relationships were positive. Uniqueness was shown to develop as the fostering attitudes of parents were receptive. Closeness developed as fostering attitudes of parents were receptive and as their relationships with peers were positive. The students' tendency to plan the future developed as fostering attitudes of parents were receptive and as their relationships with teachers were good, and independence was shown to develop as the fostering attitudes of parents were not rejecting. Results of a two-year follow-up study appeared that self-receptiveness scores decreased as time passed, so students had highest scores in their first year and lowest scores in their third year. Scores of uniqueness, tendency of planning the future, and identity increased in the students' second year and then remained steadily afterward.

• Investigative Magnetic Resonance Imaging
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• v.6 no.2
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• pp.152-157
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• 2002

Purpose : The differential diagnosis between Modic type I degenerative spine and infectious spondylitis sometimes is difficult, because the affected bone marrows in both disease show similar signal intensity on conventional MR imaging. We evaluate the usefulness of diffusion-wighted MR imaging for differential diagnosis between Modic type I degenerative spine and infectious spondylitis. Materials and methods : The spin-echo and diffusion-weighted MR images of eight patients with Modic type I degenerative spines and 14 patients with infectious spondylitis diagnosed by clinical findings or CT-guided biopsies we re analyzed. The diffusion-weighted imaging sequence was based on reversed fast imaging with steady-state precession (PSIF). Signal intensity changes of the vertebral bone marrow on conventional spin-echo and diffusion-weighted MR imaging were compared between degenerative spine and infectious spondylitis. Results : On T1-weighte d images, the affeted bone marrow in both disease showed hypointense signals. On T 2-weighted images, all of type I degenerative spine and 11 of infectious spondylitis showed hyperintensity, and three of infectious spondylitis showed heterogeneo us mixed signal intensity. On diffusion-weighted MR images, all of type I degenerative spine were hypointense with peripheral high signal intensity to normal vertebral body, but infectious spondylitis was hyperintense (n = 11) and hypointense (n=3). Conclusion : Diffusion-weighted MR imaging is useful to differentiate Modic type I degenerative spine from infectious spondylitis. On diffusion-weighted images, the high singal intensity of bone marrow suggests infectious spondylitis, whereas the low signal intensity of bone marrow with peripheral focal high signal intensity suggests type I degenerative spine.