• Journal of Practical Engineering Education
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• v.13 no.2
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• pp.301-304
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• 2021

In this study, we developed a module that can perform two functions at the same time through interworking between a personal recognition module and a heat detection module in the era of COVID-19. This can simultaneously solve the problem of compatibility of the personal recognition module that occurs in the existing system and the problem of secondary infection that can occur during congestion due to the separate implementation of heat detection. Therefore, in this study, NFC and Bluetooth motherboards were developed, and an array-type non-contact temperature sensor was applied to detect heat. The developed system is expected to be able to realize both access control of floating population and effective quarantine at the same time in public institutions or private companies that require AI automated access control. In addition, it is judged that it is possible to link the embedded programming and web programming implementation method using the module of the development system to the educational program.

• Journal of the Korean Geotechnical Society
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• v.35 no.9
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• pp.37-45
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• 2019

Quick identification of the condition of tunnel face and optimized determination of support patterns during tunnel excavation in underground construction projects help engineers prevent tunnel collapse and safely excavate tunnels. This study investigates a CNN technique for quick determination of rock quality classification depending on the condition of tunnel face, and presents the procedure for rock quality classification using a deep learning technique and the improved method for accurate prediction. The VGG16 model developed by tens of thousands prestudied images was used for deep learning, and 1,469 tunnel face images were used to classify the five types of rock quality condition. In this study, the prediction accuracy using this technique was up to 83.9%. It is expected that this technique can be used for an error-minimizing rock quality classification system not depending on experienced professionals in rock quality rating.

• Biomedical Science Letters
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• v.28 no.4
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• pp.317-321
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• 2022

Due to COVID-19 pandemic, wearing face masks is obligatory to prevent respiratory virus transmissions in the community. However, there are few studies of the desirable number of wearing a face mask, and how to store them for reuse. Therefore, in this study, a survey was conducted among 208 healthy adults, and 27 kf-94 masks worn for 1, 2, and 3 days were collected. To estimate the risk of bacterial contamination, we analyzed the extent of bacterial contamination of the BHI medium and 16S rRNA gene sequencing. With an increase in the number of days of using the mask, the degree of bacterial contamination of the used mask gradually increased. As a result of 16S rRNA PCR performed for strain identification, Staphylococcus, known as a pathogenic bacterium, was identified the most. In conclusion, we found that wearing a cotton KF mask provides an optimal environment for microbes, which are related to the skin and respiratory system, to thrive. Therefore, it is also important to reduce the risk of bacterial infection of the face mask with appropriate sterilization methods.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.272-274
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• 2021

Recently, due to COVID-19, the use of non-face-to-face authentication and fever detection systems is increasing. As the number of confirmed cases increases, the government is making it mandatory to authenticate and install a fever detector. It is used for entering and leaving not only general restaurants but also all stores. However, in most cases, the heat detector and the authentication device are separately configured and used, which is very inconvenient. Therefore, this study was conducted to develop an access control system that can simultaneously perform these functions. A smart access control system was developed by combining IOT technology as well as a fever detection function and smart personal recognition function. It is expected to further develop K-Quarantine by distributing it to public facilities and nursing facilities in the future.

• The Journal of Society for e-Business Studies
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• v.27 no.2
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• pp.79-103
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• 2022

COVID-19 is forcing people to minimize face-to-face networking activities between members of society, and they are increasing their use of online platforms. In particular, interest in the metaverse, a virtual community with enhanced realism, is growing. Specifically, this study suggests a mechanism to improve the intention to continuous use of metaverse users by using the self-determination theory, and confirms that trust between metaverse members moderates the relationship between self-determination and intrinsic motivation. We obtained 353 samples through a questionnaire targeting those who have used metaverse and verified the hypothesis through structural equation modeling. As a result of the analysis, individual self-determination of the metaverse formed intrinsic motivation such as identification and enjoyment, which affected the intention to continue use, and the trust of metaverse members partially moderated the relationship between self-determination and motivation. The result contributes to the sustainability of the metaverse platform by suggesting an approach to users and the environment to improve the intention of continuous use of metaverse.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.19 no.3
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• pp.141-149
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• 2015

Objectives Recently the fuzzy logic is widely used in the decision making, identification, pattern recognition, optimization in various fields. In this study, we propose the fuzzy logic as the objective method of distinguishing hot and cold, the basis of diagnosis in Korean medicine. Methods We developed fuzzy inference system to distinguish whether the subjects had hot or cold. The cold and hot questionnaire of Korean traditional university textbook, the pulse rate and the DITI value of face used in the system. These three kinds of information were defined as 'fuzzy sets,' and 54 fuzzy rules were established on the basis of clinical practitioners' knowledge. The fuzzy inference was performed by using the Mamdani's method. To evaluate the usefulness of the fuzzy inference system, 200 cases of data measured in the Woosuk university hospital of oriental medicine were used to compare the determining hot, normal, cold results obtained from the experts and from the proposed system. Results As a result, 100 cases of "cold", 54 cases of "normal", and 34 cases of "hot" were matched between the experts and the proposed system. This fuzzy system showed the conformity degree of 94%(${\kappa}=0.853$). Conclusions In this study, we could express the process of distinguishing hot-cold using the fuzzy logic for objectification and quantification of hot-cold identification. This is the first study that introduce a fuzzy logic for distinguish pattern identification. The degree of the heat characteristic of the patients inferred by this system could provide a more objective basis for diagnosing the hot-cold of patients.

• Journal of Korean Academy of Nursing
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• v.43 no.5
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• pp.649-657
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• 2013

Purpose: The purpose of this study was to examine effects of enneagram group counseling program on self-identification and depression in nursing college students. Three groups, categorized by how the students solve their conflicts, were selected to identify changes from the program. Methods: A quasi-experimental study with a non-equivalent control group and pre posttest design was used. Participants were assigned to the experimental group (n=30) or control group (n=33). The experimental group participated in enneagram group counseling program for 38 hours through eight sessions covering four different topics. Collected data were analyzed using Chi-square test, Fisher's exact test, t-test, and Wilcoxon signed rank test. Results: Total self-identity score for the experimental group was significantly higher than the control group. However, there was no significant difference between the two groups for depression scores. The Assertive and Compliant groups demonstrated significant change in self-identification while the Withdrawn groups did not reveal any change. Conclusion: Results indicate that the enneagram group counseling program is very effective in establishing positive self-identification for nursing college students who face developmental crisis and stressful situations. It is also expected that this program would be useful to enhance the students' confidence through a deeper understanding and acceptance of themselves.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2006.05a
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• pp.1334-1337
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• 2006

System identification is the field of modeling dynamic systems from experimental data. As a modeling technique, we can mention finite element method (FEM). In addition, we are able to measure modal data as the experimental data. The system can be generally categorized into a gray box and black box. In the gray box, we know mathematical model of a system, but we don't know structural parameters exactly, so we need to estimate structural parameters. In the black box, we don't know a system completely, so we need to identify system from nothing. To date, various system identification methods have been developed. Among them, we introduce system realization theory which uses Hankel matrix and Eigensystem Realization Algorithm (ERA) that enable us to identify modal parameters from noisy measurement data. Although we obtain noise-free data, however, we are likely to face difficulties in identifying a structure with hidden modes. Hidden modes can be occurred when the input or output position comes to a nodal point. If we change a system using a mode decoupling controller, the hidden modes can be revealed. Because we know the perturbation quantities in a closed loop system with the controller, we can realize an original system by subtracting perturbation quantities from the closed loop system. In this paper, we propose a novel method to identify a structure with hidden modes using the mode decoupling controller and the associated example is given for illustration.

• Therapeutic Science for Rehabilitation
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• v.13 no.1
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• pp.99-114
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• 2024

Objective : This study aimed to develop an information and communication technology (ICT)-based, non-face-to-face lifestyle program for older adults and assess its applicability. Methods : The program was developed on the basis of the ADDIE model which comprises 5 stages: analysis, design, development, implementation, and evaluation. In this study, a step-by-step identification was performed in 8 stages. Results : The results of the program analysis showed a significant decrease in depressive symptoms and loneliness scores, and an increased quality of life scores. Conclusion : The findings suggest that the ICT-based non-face-to-face lifestyle program developed in this study can motivate older adults to better understand their lifestyles for successful aging, while helping senior citizen centers resume stagnant projects.

• Journal of the Korean Society of Costume
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• v.50 no.7
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• pp.33-46
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• 2000

Uniform is the dress of distinctive design or fashion worn by members of a particular group or serving as a means of identification. The postman's uniform of Ministry of Communication should be distinctive or characteristic clothing to provide high functionality and symbolization of job characteristics, cost effectiveness and esthetic. In order to design the postman's new uniform available in 2000, there has been a satisfaction survey to 1,116 postmen. A thorough analysis of survey and informal and face-to-face discussion with postmen give the direction of design concept. One of the most important things in the design concept is to make the uniform high quality & refinement. The style is a refined jumper suit in consideration of form stability, wearing satisfaction, convenience in activity. The basic colors selected are navy and medium gray. The colors of jumper are MOC red ; C.I color Green : a representative color of youth, white : a symbolic color of bright future. All three colors are plaid on a basic nary color. In the selection of the textile, synthetic fiber (Polyester 65%, rayon 35%) equipped with UV cutting as well as water resistance etc. was recommended. In the uniform design process, the effective communication with user (postman) is critical to find the requirements and needs of uniform user (postman). Also. the uniform designer should reflect the above four key factors in design development. Therefore, the uniform should provide the user with high job performance and job pride in wearing the uniform.