• Journal of Digital Convergence
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• v.15 no.12
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• pp.313-321
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• 2017

Traffic accidents in the country have steadily increased. Although IOT technologies have been applied so as to prevent the primary accident, practical solutions to prevent the secondary accident have not been suggested. A general guideline is simply recommended. In this paper, utilizing existing communication technology, we implement a proposed model and its simulation to prevent the secondary accident. When it is possible for a driver to secure visibility, the secondary accident can be prevented; In areas like tunnel, mountain terrain, and curve road with heavy traffic, where the driver has difficulty in securing the visibility, the secondary accident rates after the primary accident have been increasing. Therefore, we implement an accident prevention system that determines the primary accident utilizing sensor technology and prevents the secondary accident communicating through V2V or V2I. After the simulation, we found that the proposed model and the existing model made no difference with regard to the secondary accident rates when the visibility of the driver is secured; With the application of the proposed model, however, the accident rates decreased for 3-7 percent even though the visibility and communication were not secured.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.669-675
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• 2020

In this study, 3D analysis was compared in evaluating the track deformation of subway structures during adjacent excavation. For the 3D analysis model, the boundary conditions of the tunnel model and the application level of the ground water were analyzed as variables. As the result of the effects of track irregularity using the 3D model, the analysis model considering the site ground water level instead of the design values and changing the constraint of the boundary condition is more reasonable. In addition, the influence of track irregularity due to the boundary condition and load condition of the analytical model is more obvious in the factors directly affected by the longitudinal relative displacement of the rail, such as alignment, cross level and gauge irregularity. Therefore, the evaluation on track stability according to adjacent excavation work was appropriate to analysed the longitudinal deformation of the track by using 3D model that could be investigate the deformation of rail. In addition, the boundary condition and load condition(ground water level) of the numerical model was important for accurate analysis results.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.725-735
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• 2022

This study analyzed how the literary works embodying nurses accommodate various discourses about nurses and reproduce them in literature. The subject of analysis is a Korean modern novel featuring a nurse, and 29 works were selected from 1927 to 2016. The analysis method is the content analysis of the novel among the qualitative research methods. The unit of analysis adopts a narrative or dialogue that deals with the image of a nurse in a novel as a unit of analysis, The image determining factors of previous studies were integrated and categorized into 4 types and considered. As a result of analyzing the image of a nurse in the novel, First, traditional image types include Lee Kwang-soo 『Love』, Kim Eui-jung 『Doctor Han』, Jo Jung-rae 『Han River』, Gong Ji-young's 「Field of Stars」, Baek Min-seok 「Poor Little Hans」 Second, social image types include Kang Kyung-ae 「Dark」, Kim Kyung-wook 「Heaven's Gate」, Choi Jeong-hee 「Cheonmaek」 Third, professional image types include Lee Cheong-jun 「Mr. Jo Man-deuk」, 「Discharge」, Choi In-hoon 『The Square』, Kim Yeon-soo 「The Night in the Tunnel Where I Listened to Jusaeng Tudipini」, Jeong Se-lang 『Public health teacher Ahn Eun-young』and Fourth, personal image types include Choi In-ho 「Apprentice Patient」, Kim Jeong-han 「The Third Ward」, Eun Hee-kyung 『Minor League』, Hoon Kim 「Hwajang」, Ha Seong-ran 「The Joy of Eating」, Kim Ji-yeon 「Hippocrates Love Song」, Park Kyung-ri 「Era of Distrust」, Jeong Mi-kyung 「The Lady of Arsenal」 typed as. Through the image of the nurse in the novel, the implications of the novel for human care were discussed.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.685-690
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• 2023

It was analyzed that the volume of deep excavation works adjacent to existing underground structures is increasing according to the population growth and density of cities. Currently, many underground structures and tracks are damaged by external factors, and the cause is analyzed based on the measurement results in the tunnel, and measurements are being made for post-processing, not for prevention. The purpose of this study is to analyze the effect on the deformation of the structure due to the excavation work adjacent to the urban railway track in use. In addition, the safety of structures is evaluated through machine learning techniques for displacement of structures before damage and destruction of underground structures and tracks due to external factors. As a result of the analysis, it was analyzed that the model suitable for predicting the structure management standard value time in the analyzed dataset was a polynomial regression machine. Since it may be limited to the data applied in this study, future research is needed to increase the diversity of structural conditions and the amount of data.