• Journal of Life Science
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• v.32 no.7
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• pp.523-531
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• 2022

The purpose of this study was to evaluate the effect of antioxidant and anti-adipogenic activities in ethanol extracts from herb mixture (Ephedra sinica, Atractylodes lance, Gypsum fibrosum, and Theobroma cacao). DPPH, ABTS⁺ radical and xanthine oxidase scavenging activities were measured for antioxidant activity. Extracts of the herb mixture had 75.0, 100.8, and 79.5% scavenging activities at 1,000 ㎍/ml concentration, respectively. We investigated the inhibition of adipogenesis and adipocyte differentiation with an extract of an herb mixture in 3T3-L1 preadipocytes. An extract from the herb mixture at concentrations between 0 and 50 ㎍/ml did not affect 3T3-L1 cell viability. Treatment with herb mixture extracts of 25, 50, and 75 ㎍/ml in 3T3-L1 preadipocytes inhibited lipid accumulation in a dose-dependent manner. As a result of a Western blot experiment, it was shown that the herb mixture inhibited the differentiation transcription factors, PPARγ and C/EBPa, by 44.2 and 77.6%, respectively, at a concentration of 75 ㎍/ml in MDI-induced differentiated 3T3-L1 cells. As a result of RT-PCR, the gene expression of C/EBPa, SREBP-1c, and PPARγ was significantly inhibited by 43.4%, 59.6%, and 55.3%, respectively, at the concentration of 75 ㎍/ml of the herb mixture compared with the MDI-treated group. In addition, the expression of fatty acid synthase (FAS), a fatty acid synthesis regulator, was suppressed. These results can be applied to develop a functional food for anti-obesity with a herb mixture.

• Journal of Korea Entertainment Industry Association
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• v.15 no.2
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• pp.123-135
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• 2021

The data processing of this study is focused on keywords related to 'Corona 19 and professional baseball' and 'Corona 19 and professional baseball no spectators', using text mining and social network analysis of textom program to identify problems and view quality. It was used to set the variable of For quantitative analysis, a questionnaire on viewing quality was constructed, and out of 270 survey respondents, 250 questionnaires were used for the final study. As a tool for securing the validity and reliability of the questionnaire, exploratory factor analysis and reliability analysis were conducted, and IPA analysis (importance-satisfaction) was conducted based on the questionnaire that secured validity and reliability, and the results and strategies were presented. As a result of IPA analysis, factors related to the image (image composition, image coloration, image clarity, image enlargement and composition, high-quality image) were found in the first quadrant, and the second quadrant was the game situation (support team game level, support player game level, star). Player discovery, competition with rival teams), game information (match schedule information, player information check, team performance and player performance, game information), interaction (consensus with the supporting team), and some factors appeared. The factors of commentator (baseball-related knowledge, communication ability, pronunciation and voice, use of standard language, introduction of game-related information) and interaction (real-time communication with the front desk, sympathy with viewers, information exchange such as chatting) appeared.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.15 no.6
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• pp.485-491
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• 2022

Intravenous injection is the most frequent invasive treatment for inpatients and is widely used for parenteral nutrition administration and blood products, and more than 1 billion procedures are used for peripheral catheter insertion, blood collection, and other IV therapy per year. Intravenous injection is one of the difficult procedures to be performed only by trained nurses with intravenous injection training, and failure can lead to thrombosis and hematoma or nerve damage to the vein. Accordingly, studies on auxiliary equipment capable of visualizing the vein structure of the back of the hand or arm are being published to reduce errors during intravenous injection. This study is a study on the performance difference according to the number of LEDs irradiating the 850nm wavelength band on a vein detector that visualizes the vein during intravenous injection. Four LED PCBs were produced by attaching NIR filters to CCD and CMOS camera lenses irradiated on the skin to acquire images, sharpen the acquired images using image processing algorithms, and project the sharpened images onto the skin. After that, each PCB was attached to the front end of the vein detector to detect the vein image and create a performance comparison questionnaire based on the vein image obtained for performance evaluation. The survey was conducted on 20 nurses working at K Hospital.

• Journal of Industrial Convergence
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• v.21 no.1
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• pp.187-192
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• 2023

In this study, trends in ICT education were investigated by analyzing the frequency of appearance of keywords related to machine learning and using conversion of iteration correction(CONCOR) techniques. A total of 304 papers from 2018 to the present published in registered sites were searched on Google Scalar using "ICT education" as the keyword, and 60 papers pertaining to ICT education were selected based on a systematic literature review. Subsequently, keywords were extracted based on the title and summary of the paper. For word frequency and indicator data, 49 keywords with high appearance frequency were extracted by analyzing frequency, via the term frequency-inverse document frequency technique in natural language processing, and words with simultaneous appearance frequency. The relationship degree was verified by analyzing the connection structure and centrality of the connection degree between words, and a cluster composed of words with similarity was derived via CONCOR analysis. First, "education," "research," "result," "utilization," and "analysis" were analyzed as main keywords. Second, by analyzing an N-GRAM network graph with "education" as the keyword, "curriculum" and "utilization" were shown to exhibit the highest correlation level. Third, by conducting a cluster analysis with "education" as the keyword, five groups were formed: "curriculum," "programming," "student," "improvement," and "information." These results indicate that practical research necessary for ICT education can be conducted by analyzing ICT education trends and identifying trends.

• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.27-40
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• 2023

With the increase in the spread of smart devices and the impact of COVID-19, the consumption of media contents through smart devices has significantly increased. Along with this trend, the amount of media contents viewed through OTT platforms is increasing, that makes contents recommendations on these platforms more important. Previous contents-based recommendation researches have mostly utilized metadata that describes the characteristics of the contents, with a shortage of researches that utilize the contents' own descriptive metadata. In this paper, various text data including titles and synopses that describe the contents were used to recommend similar contents. KLUE-RoBERTa-large, a Korean language model with excellent performance, was used to train the model on the text data. A dataset of over 20,000 contents metadata including titles, synopses, composite genres, directors, actors, and hash tags information was used as training data. To enter the various text features into the language model, the features were concatenated using special tokens that indicate each feature. The test set was designed to promote the relative and objective nature of the model's similarity classification ability by using the three contents comparison method and applying multiple inspections to label the test set. Genres classification and hash tag classification prediction tasks were used to fine-tune the embeddings for the contents meta text data. As a result, the hash tag classification model showed an accuracy of over 90% based on the similarity test set, which was more than 9% better than the baseline language model. Through hash tag classification training, it was found that the language model's ability to classify similar contents was improved, which demonstrated the value of using a language model for the contents-based filtering.

• Journal of Music and Human Behavior
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• v.20 no.1
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• pp.75-97
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• 2023

This study aimed to investigate the effect of cognitive-motor interaction-based instrument playing on the early social skills of children with autism spectrum disorder (ASD). Nine children with ASD, averaging 5.6 years of age, participated in twelve individual sessions lasting 30 minutes each. The intervention comprised five stages: self-regulation, motivation to engage in social interaction, acceptance of a partner in co-playing activities, interpersonal coordination with a partner, and engagement in joint music playing. To evaluate changes in early social skills, joint attention and social interaction behaviors were observed, and the Social Responsiveness Scale (SRS-2) was administered pre- and post-intervention. Social synchronization was measured through a dyadic drum task, measuring synchronization accuracy, duration, and timing. Following the intervention, all nine children demonstrated increased early social behaviors, although there were no significant differences in SRS scores. Moreover, synchronized movement improved significantly in accuracy and maintained duration but not in reaction time. This study highlights the significance of recognizing the cognitive-motor interplay as crucial element in facilitating early social skills development in children with ASD.

• Journal of the Korea Society for Simulation
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• v.32 no.3
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• pp.43-53
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• 2023

In this detailed and comprehensive study, our primary focus has been placed on accurately gauging the number of visitors and their real-time locations in commercial spaces. Particularly, in a real cafe, using security cameras, we have developed a system that can offer live updates on available seating and predict future congestion levels. By employing YOLO, a real-time object detection and tracking algorithm, the number of visitors and their respective locations in real-time are also monitored. This information is then used to update a cafe's indoor map, thereby enabling users to easily identify available seating. Moreover, we developed a model that predicts the congestion of a cafe in real time. The sophisticated model, designed to learn visitor count and movement patterns over diverse time intervals, is based on Long Short Term Memory (LSTM) to address the vanishing gradient problem and Sequence-to-Sequence (Seq2Seq) for processing data with temporal relationships. This innovative system has the potential to significantly improve cafe management efficiency and customer satisfaction by delivering reliable predictions of cafe congestion to all users. Our groundbreaking research not only demonstrates the effectiveness and utility of indoor location tracking technology implemented through security cameras but also proposes potential applications in other commercial spaces.

• Journal of the Korea Society for Simulation
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• v.32 no.3
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• pp.75-91
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• 2023

As the business-to-customer (B2C) online market expands after the COVID-19 pandemic, the logistics industry has been constructing automated warehouses to handle multi-product, low-volume logistics. When constructing a logistics automation warehouse, it is crucial to validate that the facility's performance and operational logic are designed to meet the required throughput of the automated warehouse from the system design phase. This study proposes simulation-based validation and optimal alternatives for an H logistics automation warehouse in Iksan, Jeollabuk-do. Firstly, we focused on the box supply and packing processes, which are related to the release process, among the entire logistic processes. Then, we analyzed the potential bottlenecks in the target process and designed and implemented a discrete-event simulation model based on the analysis results. The simulation experiments showed that the facility parameters and operational logic identified in the system design phase did not satisfy the performance requirements of the entire automated warehouse. Additional experiments were conducted to suggest alternatives to meet the system performance requirements by changing the facility parameters and operational logic. We expect that the proposed study will be utilized in the future, not only in the system design phase but also in the system construction phase, for verification purposes to ensure that the construction proceeds according to the design.

• Journal of the Korea Society for Simulation
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• v.18 no.4
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• pp.9-20
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• 2009

Navigation system providing route-guidance and traffic information is one of the most widely used driver-support system these days. Most of the navigation system is based on the 2D map paradigm so the information is ed and encoded from the real world. As a result it imposes a cognitive burden to the driver to interpret and translate the ed information to real world information. As a new concept of navigation system, augmented-reality navigation system (AR navigation) is suggested recently. It provides navigational guidance by imposing graphical information on real image captured by camera mounted on a vehicle in real-time. The ultimate goal of navigation system is to assist the driving task with least driving workload whether it is based on the abstracted graphic paradigm or realistic image paradigm. In this paper, we describe the comparative studies on how map navigation and AR navigation affect for driving tasks by experimental research. From the result of this research we obtained a basic knowledge about the two paradigms of navigation systems. On the basis of this knowledge, we are going to find the optimal design of navigation system supporting driving task most effectively, by analyzing characteristics of driving tasks and navigational information from the human-vehicle interface point of view.

• Journal of the Korean Society of Marine Environment & Safety
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• v.29 no.5
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• pp.470-478
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• 2023

All people have human rights that should be protected, and today, the importance of protecting human rights is emphasized in all areas of society. The industry is also carrying out activities to protect the human rights of workers, such as implementing human rights education for human rights management and preparing a response system for human rights violations. However, due to the closed environment and special working conditions, seafarers on board are often placed in a blind spot in human rights protection. In particular, a number of cases of human rights violations concerning beginner seafarers, including cadets, have been identified, and relevant research is insufficient compared to other occupational groups. Jobs that restrict basic human rights cannot be envied by anyone. In this study, implications and problems were derived based on the results of a human rights survey of cadets, and cases of human rights violations, and improvement measures were proposed. The cadets had a very negative perception of human rights violations before boarding. However, it was found that their perception changed after boarding. It was confirmed that cadets have unnecessary fears and concerns before boarding. Improvement measures include the establishment of a legal system for the status of cadets, measures to alleviate non-physical human rights violations, improvement of human rights violations handling procedures and response systems, and enhancing the effectiveness of human rights education.