• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.5
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• pp.1-18
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• 2023

With the recent developments in big data and deep learning, a variety of traffic information is collected widely and used for traffic operations. In particular, long short-term memory (LSTM) is used in the field of traffic information prediction with time series characteristics. Since trends, seasons, and cycles differ due to the nature of time series data input for an LSTM, a trial-and-error method based on characteristics of the data is essential for prediction models based on time series data in order to find hyperparameters. If a methodology is established to find suitable hyperparameters, it is possible to reduce the time spent in constructing high-accuracy models. Therefore, in this study, a traffic information prediction model is developed based on highway vehicle detection system (VDS) data and LSTM, and an impact assessment is conducted through changes in the LSTM evaluation indicators for each hyperparameter. In addition, a methodology for finding hyperparameters suitable for predicting highway traffic information in the transportation field is presented.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.1007-1016
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• 2023

In this study, the effect of functional substances such as polyphenols and flavonoids contained in large quantities in red ginseng and herbal medicines on the antioxidant activity properties and flavor effect were investigated by increasing the content and activity of functional ingredients by convert red ginseng through a steaming heat-drying process compared to the traditional dry processing method of ginseng and herbal medicines. According to the experimental results, the addition of pre-heat treatment significantly increased antioxidant properties such as DPPH radical scavenging ability, polyphenols, and flavonoids. In addition, during the steaming and heat-dried red ginseng manufacturing process, the amino-carbonyl browning reaction was promoted, resulting in increased brownness and a savory flavor. However, the content of ginsenosides, the main medicinal ingredient in red ginseng, became the main cause of the bitter and harsh taste. In addition, the bitter and harsh taste of red ginseng has been significantly improved by roasting and producing powder, but on the other hand, Radix Angelicae sinensis, polymorphic angelica and Peony, which are used as main medicinal ingredients in oriental medicine for nutritional tonic prescriptions such as 10 herbal medicine and 4 herbal medicine have a very strong herbal medicine-specific flavor and have a bitter and harsh taste. It is so strong that in order to use it as an instant extraction material, it was reviewed that a steaming and heating manufacturing method was needed during the manufacturing process.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.151-160
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• 2023

The purpose of this study is to suggest problems and directions for improvement, focusing on the master's course at the Graduate School of Education, among the career guidance counselor training programs. First, in the case of career education counseling major education graduate school fostering system, ① 3 universities in Seoul, 2 in Gyeonggi-do, 1 in Incheon, 1 in Gangwon, 1 in Daegu, 1 in Jeonbuk, 3 in Chungnam, and 1 in Chungbuk, a total of 13 Opened in 20 universities. ② Most schools operate in a dual system. ③ As a major in career counseling, there is a maximum of 26 courses and a minimum of 10 courses for the master's course in the graduate school of education. Second, what are the problems and improvement directions of the career counseling graduate school training system? ① It is necessary to prepare a standardized curriculum. ② It is necessary to operate education to strengthen connection with the local community. ③ There is a need to resolve the level gap between the 13 graduate schools of education and the lack of faculty members at some universities. ④ Career education policy department of the Ministry of Education needs to periodically evaluate 13 education graduate schools. ⑤ The role of the career policy department of the Ministry of Education is to establish a mid- too long-term plan at the national level considering the demand and supply of career guidance counselors nationwide. ⑥ It is desirable to dualize the way to obtain a career guidance counselor license as it is now.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.349-355
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• 2023

This study attempted to examine the effect of Korean and Japanese college students' perception of welfare for the elderly, dementia perception, and dementia attitude on dementia policy. The main results are as follows. As a result of analyzing the impact of Korean-Japanese college students on their perception and attitude of dementia policy, it was found that Korean-Japanese college students' perception of welfare for the elderly and dementia attitude had a positive (+) effect on dementia policy perception. As a result, I would like to present the following implications. Korea and Japan have developed social insurance systems for the elderly in a low birth rate and aging society, and are developing and implementing support services suitable for the culture of both countries. In the perception of dementia policies of college students in Korea and Japan, the influence of long-term care insurance for the elderly in Korea and nursing care insurance in Japan has led to changes in the perception of dementia among college students. However, it has been shown that dementia awareness does not affect dementia policy awareness, indicating that college students lack dementia awareness. Dementia awareness can increase the demand for the development of various dementia-related services or dementia policies, but low dementia awareness can lead to misunderstanding or negative perceptions of dementia. This can also affect the perception of dementia policies, and services and policies such as social support, prevention, and treatment related to dementia may not be sufficiently developed. In order to compensate for these problems in the future, efforts should be made to improve awareness through the provision of various information such as the government and society to help improve and understand dementia awareness for college students.

• Journal of the Korea institute for structural maintenance and inspection
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• v.28 no.3
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• pp.10-18
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• 2024

Vehicle loading is one of the main causes of bridge deterioration. Although WiM (Weigh in Motion) can be used to measure vehicle loading on a bridge, it has disadvantage of high installation and maintenance cost due to its contactness. In this study, a non-contact method is proposed to estimate the vehicle loading history of bridges using deep learning and CCTV images. The proposed method recognizes the vehicle type using an object detection deep learning model and estimates the vehicle loading based on the load-based vehicle type classification table developed using the weights of empty vehicles of major domestic vehicle models. Faster R-CNN, an object detection deep learning model, was trained using vehicle images classified by the classification table. The performance of the model is verified using images of CCTVs on actual bridges. Finally, the vehicle loading history of an actual bridge was obtained for a specific time by continuously estimating the vehicle loadings on the bridge using the proposed method.

• The Journal of the Acoustical Society of Korea
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• v.27 no.7
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• pp.333-341
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• 2008

In this paper, a new interpolation model for the head related transfer function (HRTF) was proposed. In the method herein, we assume that the impulse response of the HRTF for each azimuth angle is given by linear interpolation of the time-delayed neighboring impulse responses of HRTFs. The time delay of the HRTF for each azimuth angle is given by sum of the sound wave propagation time from the ears to the sound source, which can be estimated by using azimuth angle, the physical shape of the underlying head and the distance between the head and sound source, and the refinement time yielding the minimum mean square error. Moreover, in the proposed model, the interpolation intervals were not fixed but varied, which were determined by minimizing the total number of HRTFs while the synthesized signals have no perceptual difference from the original signals in terms of sound location. To validate the usefulness of the proposed interpolation model, the proposed model was applied to the several HRTFs that were obtained from one dummy-head and three human heads. We used the HRTFs that have 5 degree azimuth angle resolution at 0 degree elevation (horizontal plane). The experimental results showed that using only $30\sim40%$ of the original HRTFs were sufficient for producing the signals that have no audible differences from the original ones in terms of sound location.

• Journal of Industrial Convergence
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• v.22 no.6
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• pp.51-59
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• 2024

The purpose of the paper is to suggest government policies that are practically helpful to small business owners in pandemic situations such as COVID-19. To this end, keyword frequency analysis and word cloud analysis of text mining analysis were performed by crawling news articles centered on the keywords "COVID-19 Support for Small Businesses", "The Impact of Small Businesses by Response System to COVID-19 Infectious Diseases", and "COVID-19 Small Business Economic Policy", and major issues were identified through LDA topic modeling analysis. As a result of conducting LDA topic modeling, the support policy for small business owners formed a topic label with government cash and financial support, and the impact of small business owners according to the COVID-19 infectious disease response system formed a topic label with a government-led quarantine system and an individual-led quarantine system, and the COVID-19 economic policy formed a topic label with a policy for small business owners to acquire economic crisis and self-sustainability. Focusing on the organized topic label, it was intended to provide basic data for small business owners to understand the damage reduction policy for small business owners and the policy for enhancing market competitiveness in the future pandemic situation.

• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.27-33
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• 2024

In this article, this study examines the issue of "Physician-assisted Suicide" and how Ramon Sampedro asserts his right to a dignified death through litigation. Ramon, the protagonist of the movie <The Sea Inside> is a patient, severely paralyzed man who has spent more than 26 years in bed. The only thing he can do is verbally ask his family for help. Ramon can no longer support this worthless existence, so he pursues death with dignity. Ramon files a lawsuit to authorize death with dignity within a legal framework, but is denied on the grounds that life is a duty. Ramon eventually fulfills his desire for death with dignity with the help of his friends. Ramon sets up a camera to document the process of his death and introduces the cyanide, which is used in assisted dying, by inhaling cyanide in front of the camera and dying quietly. Although Ramon is not a terminally ill patient, who can blame him for practicing death with dignity as he chooses to do so. We will need to work to build social consensus and legislate for death with dignity for seriously ill patients like Ramon.

• Smart Media Journal
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• v.13 no.1
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• pp.36-44
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• 2024

Metaverse is attracting attention as the development of virtual environment technology and the emergence of untact culture due to the COVID-19 pandemic. In this study, by analyzing users' reviews on the "Zepeto" application, which has recently attracted attention as a metaverse service, we tried to confirm changes in the requirements for the metaverse after the COVID-19 pandemic. To this end, 109,662 reviews of "Zepeto" applications written on the Google Play Store from September 2018 to March 2023 were collected, topics were extracted using LDA topic modeling technique, and topics were analyzed using the Causal Impact technique to examine how topics changed before and after based on "March 11, 2020" when the COVID-19 pandemic was declared. As a result of the analysis, five topics were extracted: application functional problems (topic1), security problems (topic 2), complaints about cryptocurrency (Zem) in the application (topic 3), application performance (topic 4), and personal information-related problems (topic 5). Among them, it was confirmed that security problems (topic 2) were most affected by the COVID-19 pandemic.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.153-158
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• 2024

Recently, concerns about the spread of credit risk in China's real estate market are gradually increasing. Therefore, it is very meaningful to diagnose the management stability of Chinese commercial banks. This study analyzes the impact of housing prices on the loan proportion and management stability of Chinese commercial banks. In addition, we classify Chinese commercial banks according to size and verify whether there are differences in loan proportion and management stability. If there is a difference by scale, the effect of interaction with housing price changes is also verified. The analysis results are summarized as follows. First, it was found that as the housing price growth rate increases, the proportion of loans from Chinese commercial banks increases. Second, as the rate of increase in housing prices and the proportion of total loans increases, management stability appears to decrease. Third, larger banks were found to have a higher proportion of loans, and smaller banks were found to have greater management stability. The results of this analysis show that Chinese commercial banks' aggressive expansion of their loan proportion is lowering their management stability. Therefore, it is necessary to adjust the loan ratio to the appropriate size level and secure stability with differentiated strategies according to the loan ratio