• Journal of Appropriate Technology
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• v.7 no.2
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• pp.196-205
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• 2021

As industrial safety increases, various industrial accident prevention technologies using smart factory technology are being studied. However, small and medium enterprises (SMEs), which account for the majority of industrial accidents, are having difficulties in preventing industrial accidents by applying these smart factory technologies due to practical problems. In this study, customized monitoring and warning systems for each type of industrial accident were developed and applied to the actual field. Through this, we demonstrated industrial accident prevention technology through appropriate smart factory technology used by SMEs. A customized monitoring system using vision, current, temperature, and gas sensors was established for the four major disaster types: worker body access, short circuit and overcurrent, fire and burns due to high temperature, and emission of hazardous gas. In addition, a notification method suitable for each work environment was applied so that the monitored risk factors could be recognized quickly, and real-time data transmission and display enabled workers and managers to understand the disaster risk effectively. Through the application and demonstration of these appropriate smart factory technologies, the spread of these industrial safety technologies is to be discussed.

• Korean small business review
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• v.43 no.1
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• pp.147-164
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• 2021

This study focuses on succession in a family business which is the crucial factor affecting future and survival of a family business. Especially, the study concentrate a successor's view which is regarded as a key-player during the succession. In this study, we used AHP (Analytic Hierarchy Process) methodology to identify priorities of factors influencing succession. We divided into two-tier level. The first-tier is defined as 1) the relationship with an incumbent CEO, 2) a successor 's management ability, 3) a successor' s self-efficacy and 4) succession plan. For the second-tier of each first-tier have 3 sub-factors ; 1) the relationship with an incumbent CEO is set as level of mutual trust, sharing the vision of a company, and level of communication each other. 2) A successor 's management ability is based on business competence, education and training and interpersonal management ability, 3) a successor 's self-efficacy was set as successor' s willingness of succession, confidence of overcoming crisis and confidence of achieving objectives. Lastly, 4) a succession plan is set as finance plan, leadership transformation plan and human-organization management plan. A total of 93 questionnaires is distributed and retrieved, and 88 questionnaires are used for the study, excluding those with missing data. As a result of this study, successors selected 1) the relationship with an incumbent C.E.O. as the most important priority in the first-tier. The second is 2) a successor 's management ability, the third is 3) a successor' s self-efficacy, and the last priority is 4) a succession plan. In particular, 3 sub-factors that make up the relationship with an incumbent are the most important factors. These factors rank the first to the third in the final result.

• Journal of the Korean Society of Radiology
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• v.16 no.2
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• pp.177-184
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• 2022

The purpose of this study is surveyed diagnostic radiography (DR) examination in veterinary hospital (VC) including non-ionization radiation such as ultra-sonography and magnetic resonance imaging. From June 1 to June 20. 2021, we surveyed the VC in 00 metropolitan city by using a structural questionnaire which are location of VC and X-ray unit et al.. Data are expressed as a mean with standard deviation for continuous variable or percent for categorical variable using SPSS ver. 26.0. As the first animal to be visited, dogs were the highest with 61.9%, followed by cats with 12.9%. In 87.1% fo cases, DR units were used, and 4 VCs did not. In 27 VCs using DR units, 48.1% separated examination room and control room, 19.8% examined in animal visited, protective clothing was in all VCs, 55.6% were measured radiation exposure dose, 92.6% was responded a necessary for examination education. From the above results, it will help to revise the guidelines for DR units and examination in korea VCs.

• Journal of Industrial Convergence
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• v.20 no.2
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• pp.71-78
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• 2022

This study intends to present a desirable vision so that students can focus on their studies and adapt to the dental hygiene major education perceived by dental hygiene students in un-contact lecturess situations by preparing measures to increase student satisfaction with the dental hygiene department. Data collection was conducted using a self-reported questionnaire from students in the dental hygiene department at universities in Seoul, Chungcheong, and Gangwon from June 20 to August 19, 2021. Variables according to the general characteristics of the subjects were analyzed using t-test and one-way ANOVA, and the post hoc test was verified by Tukey. The correlation between variables was Pearson's correlation, and the factors affecting dental hygiene and students' major satisfaction were multiple regression. The self-directed learning ability of dental hygiene students was 3.57 points, learning immersion was 3.02 points, and major satisfaction was 3.54 points. Dental hygiene students were found to have higher major satisfaction with higher grades, higher college life satisfaction, and higher learning immersion and self-directed learning ability. Therefore, it was found that systematic program development and application is necessary to improve major satisfaction in difficult circumstances due to COVID-19.

• Industry Promotion Research
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• v.7 no.3
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• pp.125-130
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• 2022

The purpose of this study is to develop music psychotherapy program applying the Inner Family System(IFS) to reduce adult depression and improve self-esteem and to verify its effectiveness. For this, literature search and theoretical basis were prepared, and validity was secured through a demand survey and evaluation by experts. After going through the preliminary program, the final program consisting of 10 sessions was developed after revision and supplementation. To verify the effectiveness of the program, 25 people who met the selection criteria with a score of 20 or higher on the Depression Scale(CES-D) were selected. Of the 25 subjects, 10 subjects in the experimental group, 10 subjects in the control group, and 5 subjects in the preliminary group were randomly assigned and analyzed as final study subjects. The experimental group performed 10 sessions of music psychotherapy applying IFS twice a week for 90 minutes, and the control group did not receive any treatment. As a result of data analysis, first, it was confirmed that there was a difference between the experimental group and the control group in the change patterns according to the measurement period of overall depression and the sub-factors, depressive emotion, interpersonal emotion, and physical depression score. Second, the effects were statistically significant on overall self-esteem and sub-factors such as self-deprecation, relationship with others, leadership and popularity, assertion and anxiety. Third, it was confirmed that the pattern of change according to the measurement period of the IFS score differed between the experimental and control groups.

• Journal of Korea Entertainment Industry Association
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• v.13 no.4
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• pp.411-417
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• 2019

The purpose of this study is to identify the effect not of therapeutic behavior but of the balance evaluation process itself on the balance ability of the elderly. For this, 36 elderly people over 65 age belonging to two elderly welfare centers in Jeonju city were divided into 3 groups of 12 each. All participants were divided into three groups, one was the daily evaluation, another was weekly, and the other group was twice at the beginning and the end of the study. And this study conducted for 4 weeks totally. The balance scale that we used one was Berg Balance Scale and for comparison within groups and between groups, Paired t-test and one-way ANOVA methods were used. The post-hoc test was used 'Scheffe test', and the significance level was α = .05. The results showed that the balance ability was significantly improved after 4 weeks in all three groups. Among all groups, the highest improvement was observed in the daily evaluation group and the lowest improvement was observed in the general evaluation group. In the comparison between the groups, it was confirmed between the daily evaluation group and the weekly evaluation group, between the daily evaluation group and the general evaluation group. These results show that the evaluation process using the balance function scale, rather than the therapeutic behavior, can affect the balance ability of the elderly. I would like to be able to utilize this basic research data that just evaluation of balance function using balance scale in the social facilities and institutions for the elderly can positively influence the improvement of the balance function and strengthen the postural controling ability necessary for the independent daily life practice.

• Journal of Korea Entertainment Industry Association
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• v.13 no.4
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• pp.241-253
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• 2019

The purpose of this study was to examine the phenomena that occurred when the students were practicing flip-learning lessons and to present the good points and the unsatisfactory points to improve the students' learning pleasure. Therefore, it is aimed to provide the basic data and the advantages and disadvantages which are needed to apply the flip learning method which is newly emerging recently to the university instruction. The method of this study was a questionnaire survey to understand the perception of flip learning. Based on the results of this study, the following conclusions are presented. First, the experience of flip learning instruction was first encountered by 50% of college students. Second, the students showed a very low tendency in practicing the flip learning instruction(video watching) the instructor intended. Third, college students have a habit of learning that they are not ready for pre-study of the subject. Fourth, the perception of flip learning lesson through the provision of video was highly positive. Fifthly, flip learning lessons have the advantage of being able to learn regardless of the time and place that they have, but they are not actively involved if they are not actually reflected in the test or grades. In conclusion, it was found that college students became accustomed to the incentive-style lessons due to the application of various learning techniques from elementary school age, making it difficult to participate in voluntary learning.

• Journal of the Korean Institute of Landscape Architecture
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• v.50 no.6
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• pp.42-57
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• 2022

This study aims to create a basic model for classifying the activity photos that urban park users shared on social media using Deep Learning through Artificial Intelligence. Regarding the social media data, photos related to urban parks were collected through a Naver search, were collected, and used for the classification model. Based on the indicators of Naturalness, Potential Attraction, and Activity, which can be used to evaluate the characteristics of urban parks, 21 classification categories were created. Urban park photos shared on Naver were collected by category, and annotated datasets were created. A custom CNN model and a transfer learning model utilizing a CNN pre-trained on the collected photo datasets were designed and subsequently analyzed. As a result of the study, the Xception transfer learning model, which demonstrated the best performance, was selected as the urban park user activity image classification model and evaluated through several evaluation indicators. This study is meaningful in that it has built AI as an index that can evaluate the characteristics of urban parks by using user-shared photos on social media. The classification model using Deep Learning mitigates the limitations of manual classification, and it can efficiently classify large amounts of urban park photos. So, it can be said to be a useful method that can be used for the monitoring and management of city parks in the future.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.697-702
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• 2023

Recently, with the introduction of drones, a core technology of the 4th industrial revolution, various convergence education using drones is being conducted in school education sites. In particular, drone theory and practice education is being conducted in connection with free semester classes and career exploration. The drone convergence education program has higher learner satisfaction than simple demonstration and practice education, and the learning effect is high due to direct practical experience. However, since practical education is being conducted for a large number of learners, it is impossible to restrict and control the flight of a large number of drones in a limited place. In this paper, we propose a monitoring system that allows the instructor to monitor multiple drones in real time and learners to recognize collisions between drones in advance when multiple drones are operated, focusing on education operated in schools. The communication module used in the experiment was equipped with GPS in Murata LoRa, and the server and client were configured to enable monitoring based on the location data received in real time. The performance of the proposed system was evaluated in an open space, and it was confirmed that the communication signal was good up to a distance of about 120m. In other words, it was confirmed that 25 educational drones can be controlled within a range of 240m and the instructor can monitor them.

• Journal of the Korea institute for structural maintenance and inspection
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• v.27 no.5
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• pp.113-119
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• 2023

Most infrastructure structures were completed during periods of economic growth. The number of infrastructure structures reaching their lifespan is increasing, and the proportion of old structures is gradually increasing. The functions and performance of these structures at the time of design may deteriorate and may even lead to safety accidents. To prevent this repercussion, accurate inspection and appropriate repair are requisite. To this end, demand is increasing for computer vision and deep learning technology to accurately detect even minute cracks. However, deep learning algorithms require a large number of training data. In particular, label images indicating the location of cracks in the image are required. To secure a large number of those label images, a lot of labor and time are consumed. To reduce these costs as well as increase detection accuracy, this study proposed a learning structure based on mean teacher method. This learning structure was trained on a dataset of 900 labeled image dataset and 3000 unlabeled image dataset. The crack detection network model was evaluated on over 300 labeled image dataset, and the detection accuracy recorded a mean intersection over union of 89.23% and an F1 score of 89.12%. Through this experiment, it was confirmed that detection performance was improved compared to supervised learning. It is expected that this proposed method will be used in the future to reduce the cost required to secure label images.