• KIPS Transactions on Software and Data Engineering
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• v.11 no.4
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• pp.163-168
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• 2022

As cloud computing and the Internet of things are getting popular, the number of devices in the Internet of things computing environments is increasing. In addition, there exist various Internet-based applications, such as home automation and healthcare. In turn, existing studies explored the quality of service, such as downtime and reliability of tasks for Internet of things applications. To enhance the quality of service of Internet of things applications, cloud-fog computing (combining cloud computing and edge computing) can be used for offloading burdens from the central cloud server to edge servers. However, when devices inherit the mobility property, continuity and the quality of service of Internet of things applications can be reduced. In this paper, we propose a resource management scheme based on live migrations for mobility support in edge-based fog computing environments. The proposed resource management algorithm is based on the mobility direction and pace to predict the expected position, and migrates tasks to the target edge server. The performance results show that our proposed resource management algorithm improves the reliability of tasks and reduces downtime of services.

• Journal of Digital Convergence
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• v.19 no.8
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• pp.319-325
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• 2021

With the advancement of wireless technology and the rapid growth of the infrastructure of mobile communication technology, systems applying AI-based platforms are drawing attention from users. In particular, the system that understands users' tastes and interests and recommends preferred items is applied to advanced e-commerce customized services and smart homes. However, there is a problem that these recommendation systems are difficult to reflect in real time the preferences of various users for tastes and interests. In this research, we propose a Fuzzy-AHP-based movies recommendation system using the Gated Recurrent Unit (GRU) language model to address a problem. In this system, we apply Fuzzy-AHP to reflect users' tastes or interests in real time. We also apply GRU language model-based models to analyze the public interest and the content of the film to recommend movies similar to the user's preferred factors. To validate the performance of this recommendation system, we measured the suitability of the learning model using scraping data used in the learning module, and measured the rate of learning performance by comparing the Long Short-Term Memory (LSTM) language model with the learning time per epoch. The results show that the average cross-validation index of the learning model in this work is suitable at 94.8% and that the learning performance rate outperforms the LSTM language model.

• Journal of Physiology & Pathology in Korean Medicine
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• v.36 no.3
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• pp.89-93
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• 2022

Earthing, caused by direct skin contact with the Earth's surface, is used to reduce the symptoms of inflammation (fever, fever, swelling and pain). However, there is little evidence to support the anti-inflammatory effects of earthing mattresses. Therefore, this study was conducted to investigate whether anti-inflammatory effect of earthing mattress using an in vivo animal model. The anti - inflammatory effect was evaluated by measuring ear thickness and foot volume in 12-O-tetradecanoylphorbol-13 acetate (TPA) - induced ear edema and carrageenan - induced paw edema model, respectively. Balb/c mouse in carrageenan paw edema model showed significant anti - inflammatory effect in the group treated with earthing mattress for 4 hours or 24 hours for 3 days. For females, the anti-inflammatory effect was greater when the earthing mattress was added to the mattress than the mattress alone treatment. From the above results, it was found that the female responds more to the effect of the earthing as well as the mattress effect. In addition, when the male and female Balb/c mice were exposed to mattresses and earthing mattresses for 24 h for 3 days, respectively, the mattress and earthing mattresses showed significant inhibition of IL (Interleukin)-1β levels compared to the control. In the TPA ear edema model, Balb/c mouse showed significant anti - inflammatory effect in the group treated with the earthing mattress for 4 hours or 24 hours for 3 days. Both males and females showed more anti-inflammatory effects when they were exposed to earthing mattresses with mattresses added to the mattresses. From the above results, it was found that both male and female respond to the effect of earthing as well as the mattress effect in the TPA ear edema model. In conclusion, in this study, we have verified that earthing mattress shows inhibitory effects on TPA and carrageenan-induced inflammation. From these results, it is suggested that the anti-inflammatory effect can be expected by applying the earthing mattress to patients suffering from inflammatory diseases. However, there is a need to pinpoint exactly how the earthing mattress relieves inflammation, and further research is needed to investigate the mechanism.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.185-190
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• 2022

The purpose of this study is to verify the effect of learners' satisfaction with the educational environment on the achievement level in the outreach coffee barista and bakery lifelong education program. The results of this study conducted over 10 sessions for learners living in Y city are as follows. Firstly, the satisfaction with the instructor was the highest, the satisfaction with the program content was the next, and the satisfaction with the program environment was the lowest. Secondly, as a result of analysis through pre-post evaluation, it was found that there was a significant level of improvement in learning effect. Thirdly, as a result of analyzing the effect on the achievement level, it was found that satisfaction with the instructor had a significant effect on the level of knowledge, and satisfaction with the content of the program had a significant effect on the level of attitude. However, satisfaction with the program environment was found to have no significant effect in all areas of knowledge, skill, and attitude. In conclusion, even if the educational environmental factors are poor in the outreach coffee barista and bakery programs, high satisfaction with the instructor and the content of the program can have a significant learning achievement. With this study, it is hoped that the outreach coffee barista and bakery education program will be further activated.

• Journal of Korean Elementary Science Education
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• v.41 no.1
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• pp.1-13
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• 2022

This study aimed to explore 'Becoming Science Teachers' seen in pre-service elementary teachers' inquiry into the features and roles of tree stems, based on Deleuze's Theory of Becoming. As research subjects, this study selected 30 pre-service elementary teachers and made them carry out textbook activities and advanced activities for about a month. Based on the results of these activities, they kept reflective inquiry diaries, and this study analyzed them and found out how far they attained according to Deleuze's mechanism of generating differences. Interestingly, it was found out that most of them attained the phase of escape and even the phase of deterritorialization and showed the highest frequency of establishing various know-hows about inquiries needed to teach students in the future. However, it was also analyzed that over 60% of the diaries still remained in phases prior to the phase of deterritorialization through escape. When analyzing rhizomatic thought that helped attain deterritorialization through escape, this study found out that all the 6 types were seen and functioned to attain deterritorialization. Therefore, it is necessary to provide challenging inquiry environments that pre-service elementary teachers have never experienced before so that they can go through a phased process for overcoming striated space in inquiry and attain reterritorialization.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.2
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• pp.175-183
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• 2023

In a broadcasting market environment that has a close interdependence between platform operators and content operators, problems such as conflicts over program usage fees, and home shopping transmission fees are intensifying. This study attempted to analyze the environment of the domestic broadcasting market and present implications, analyze the cause of user fee conflict between the platform and PP, and propose detailed alternatives to resolve user fee conflict disputes. The results of environmental analysis on the domestic broadcasting market are as follows. First, the growth engine of the broadcasting industry has changed to direct resources such as service usage fees and content fees, and commerce is increasing. Second, as hegemony in the domestic broadcasting market changes from terrestrial to paid broadcasting and OTT, monopolies in the entire broadcasting area are being dismantled by voluntary entry. Third, the need to overhaul the existing regulatory system is increasing due to the dismantling and reorganization of the existing broadcasting market. On the other hand, this study proposed a strategy to diversify the profit structure of PP, supply program after pre-contracting, and strengthen CPS bargaining power in order to resolve disputes between paid broadcasting platforms and PP sharply. In particular, as strategies to strengthen CPS bargaining power of small and medium-sized SOs, it proposed to jointly improve CPS-related systems through IPTV and individual SOs, to redefine fees for programs and to voluntarily use programs.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.165-167
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• 2022

The proportion of cat cats among companion animals has been increasing at an average annual rate of 25.4% since 2012. Cats have strong wildness compared to dogs, so they have a characteristic of hiding diseases well. Therefore, when the guardian finds out that the cat has a disease, the disease may have already worsened. Symptoms such as anorexia (eating avoidance), vomiting, diarrhea, polydipsia, and polyuria in cats are some of the symptoms that appear in cat diseases such as diabetes, hyperthyroidism, renal failure, and panleukopenia. It will be of great help in treating the cat's disease if the owner can recognize the cat's polydipsia (drinking a lot of water), polyuria (a large amount of urine), and frequent urination (urinating frequently) more quickly. In this paper, 1) Efficient version of DeepLabCut for posture prediction running on an artificial intelligence server, 2) yolov4 for object detection, and 3) LSTM are used for behavior prediction. Using artificial intelligence technology, it predicts the cat's next, polyuria and frequency of urination through the analysis of the cat's behavior pattern from the home CCTV video and the weight sensor of the water bowl. And, through analysis of cat behavior patterns, we propose an application that reports disease prediction and abnormal behavior to the guardian and delivers it to the guardian's mobile and the main server system.

• Smart Media Journal
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• v.11 no.11
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• pp.17-24
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• 2022

With the spread of smart speakers based on voice recognition technology and deep learning technology, not only non-disabled people, but also the blind or physically handicapped can easily control home appliances such as lights and TVs through voice by linking home network services. This has greatly improved the quality of life. However, in the case of speech-impaired people, it is impossible to use the useful services of the smart speaker because they have inaccurate pronunciation due to articulation or speech disorders. In this paper, we propose a personalized voice classification technique for the speech-impaired to use for some of the functions provided by the smart speaker. The goal of this paper is to increase the recognition rate and accuracy of sentences spoken by speech-impaired people even with a small amount of data and a short learning time so that the service provided by the smart speaker can be actually used. In this paper, data augmentation and one cycle learning rate optimization technique were applied while fine-tuning ResNet18 model. Through an experiment, after recording 10 times for each 30 smart speaker commands, and learning within 3 minutes, the speech classification recognition rate was about 95.2%.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.361-372
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• 2023

In this study, three luxury fashion start-up platforms, Balaan, Trenbe, and Must-it, were selected as research subjects. The purpose of this study is to compare and analyze the marketing mix strategies of each of the three online sites. The results of our study are as follows. First of all, the product strategies of the three luxury platform companies are characterized by the composition of products from high-end brands to SPA brands, and product composition such as kids, home living, Used goods and art in addition to women's and men's wear. In addition, the pricing strategies of luxury platforms show price differences depending on the luxury platform even for the same product. It is shown as a structure that directly determines margin. Therefore, in order to secure an edge in price competitiveness, each platform provided discount coupons and savings that are not available in offline stores such as department stores, providing opportunities to purchase luxury goods at a lower price than offline stores.Lastly, the sales promotion strategies of the three luxury platform companies was used include price discount promotions such as price discounts, discount coupons, and regular sales, and value-added sales such as membership registration/review points, events, product information, delivery services, social contribution activities, and SNS utilization.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.8
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• pp.327-342
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• 2017

In this paper, we introduce an integrated processing system of smart sensor data for IoT service which collects sensor data and efficiently processes it. Based on the technology of collecting sensor data to the development of the IoT field and sending it to the network · Based on the receiving technology, as various projects such as smart homes, autonomous running vehicles progress, the sensor data is processed and effectively An autonomous control system to utilize has been a problem. However, since the data type of the sensor for monitoring the autonomous control system varies according to the domain, a sensor data integration processing system applying the autonomous control system to various different domains is necessary. Therefore, in this paper, we introduce the Smart Sensor Data Integrated Processing System, apply it and use the window as a reference to process internal and external sensor data 1) receiveData, 2) parseData, 3) addToDatabase 3 With the process of the stage, we provide and implement the automatic window opening / closing system "Smart Window" which ventilates to create a comfortable indoor environment by autonomous control system. As a result, standby information is collected and monitored, and machine learning for performing statistical analysis and better autonomous control based on the stored data is made possible.