• Journal of the Korean Orthopaedic Association
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• v.56 no.5
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• pp.440-444
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• 2021

In advanced gout, monosodium urate crystals are deposited in the joints and surrounding tissues, resulting in gouty tophi. A 45-year-old man was admitted to hospital due to pain and a limited range of motion in his right knee. Magnetic resonance imaging revealed a mass, and arthroscopic surgery and biopsy were then performed. Gouty tophi invading the anterior horns of the medial and lateral menisci were identified and surgically removed. To the best of the author's knowledge, there is no case report of intrameniscal gouty tophi invading both the medial and lateral menisci. This paper presents this case along with a review of the relevant literature.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.55 no.6
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• pp.903-909
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• 2022

Triploid fish have attracted the attention of fish farmers owing to of their larger cell size compared to that of diploid fish and their ability to utilize the energy required for sexual maturation for growth instead. However, the effect of increased growth in triploid fish has shown varying results. Therefore, this study aimed to compare growth between diploid and triploid starry flounders and diploid and triploid hybrid juveniles (starry flounder, Platichthys stellatus ♀×stone flounder, Kareius bicoloratus ♂) based on breeding water temperature to investigate the effect of increased growth in triploid fishes. The experiment was performed by categorizing the water temperature as high temperature (EXP. 1, 14.5-23.5℃) and low temperature (EXP. 2, 6.4-13.3℃) based on the optimal water temperature for starry flounder breeding. In EXP. 1, the growth of starry flounder triploids and hybrid triploids was significantly higher than that of diploids. However, in EXP. 2 the weight gain and specific growth rate of the starry flounder triploid were higher, and the growth of starry flounder was higher than that of the hybrids.

• Journal of Practical Engineering Education
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• v.14 no.1
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• pp.219-224
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• 2022

Q-Learning is a technique widely used as a basic algorithm for reinforcement learning. Q-Learning trains the agent in the direction of maximizing the reward through the greedy action that selects the largest value among the rewards of the actions that can be taken in the current state. In this paper, we studied a policy that can speed up agent training using Q-Learning in Frozen Lake 8×8 grid environment. In addition, the training results of the existing algorithm of Q-learning and the algorithm that gave the attribute 'direction' to agent movement were compared. As a result, it was analyzed that the Q-Learning policy proposed in this paper can significantly increase both the accuracy and training speed compared to the general algorithm.

• Journal of Digital Policy
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• v.1 no.1
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• pp.7-13
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• 2022

The purpose of this study was to investigated the effect of taping intervention applied to the diaphragm on the anaerobic performance in 30 seconds. 18 healthy college students were randomly divided into experimental group(KT=9) and control group(Sham=9). In both groups, pre and post measurement was performed by wingate test, and post measurement was performed with taping application after a week rest. The statistics between two groups on the rate of change pre and post were analyzed through Mann-Whitney U test. Statistically, it showed that only the average power(AP) of control group was significantly different. This means that diaphragmatic taping did not affect the performance of anaerobic exercise for 30 seconds. However, considering the increase in aerobic metabolism during long-term anaerobic exercise longer than 30 seconds, further studies on anaerobic exercise performance within various time ranges are needed.

• Journal of Practical Engineering Education
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• v.14 no.1
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• pp.99-108
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• 2022

As the demand for kiosks increases, more users complain of discomfort. Accordingly, a kiosk that enables easy menu selection and order by producing a voice-based interactive service is produced and provided in the form of a web. It implements voice functions based on the Annyang API and SpeechSynthesis API, and understands the user's intention through Dialogflow. And discuss how to implement this process based on Rest API. In addition, the recommendation system is applied based on collaborative filtering to improve the low consumer accessibility of existing kiosks, and to prevent infection caused by droplets during the use of voice recognition services, it provides the ability to check the wearing of masks before using the service.

• Journal of Practical Engineering Education
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• v.14 no.2
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• pp.439-445
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• 2022

Due to the development of online media platforms and the COVID-19 incident, the mass production and consumption of digital video content are rapidly increasing. In order to select digital video content, users grasp it in a short time through thumbnails and teaser videos, and select and watch digital video content that suits them. It is very inconvenient to check all digital video contents produced around the world one by one and manually edit teaser videos for users to choose from. In this paper, keyframes are extracted based on YCbCr color models to automatically generate teaser videos, and keyframes extracted through clustering are optimized. Finally, we present a method of producing a teaser video to help users check digital video content by connecting the finally extracted keyframes.

• Journal of Practical Engineering Education
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• v.14 no.2
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• pp.351-359
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• 2022

In this paper, this app is an online learning tool web application that helps learners learn efficiently. It discusses how learners can improve their learning efficiency in these three aspects: retrieval practice, systematization, metacognition. Through this web service, learners can proceed with learning with a flash card-based retrieval practice. In this case, a method of managing a flash card in a form similar to a directory-file system using a composite pattern is described. Learners can systematically organize their knowledge by converting flash cards into a mind map. The color of the mind map varies according to the learner's learning progress, and learners can easily recognize what they know and what they do not know through color. In this case, it is proposed to build a deep learning model to improve the accuracy of an algorithm for determining and predicting learning progress.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.453-455
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• 2022

Metadata is data that explains attributes and features to the data as structured data. Among them, video metadata refers to data extracted from information constituting the video for accurate content-based search. Recently, as the number of users using video content increases, the number of OTT providers is also increasing, and the role of metadata is becoming more important for OTT providers to recommend a large amount of video content to individual users or to search appropriately. In this paper, a study was conducted on a method of automatically extracting metadata for mood attributes through sound effects of images. In order to classify the sound effect of the video and generate metadata about the attributes of the mood, I would like to propose a method of establishing a terminology dictionary for the mood and extracting information through supervised learning.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.592-593
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• 2021

In July of last year, the Korean version of the New Deal National Report Conference was held in the presence of the President, and the "Korean version of the New Deal Comprehensive Plan" was announced as its core strategy. In the field of education, the "Green Smart Future School" project has been included as one of the top 10 Korean New Deal projects. And last year, due to the spread of non-face-to-face classes due to COVID-19, the demand for ICT technology in front-line education sites rapidly increased. Therefore, In this paper, we examine the problems of the wireless network and wired infrastructure of the classroom in the past, and design wired network infrastructure and wireless network equipment for green smart classrooms with high-speed wireless networks that can be used for non-face-to-face and face-to-face classes, and build them in actual classrooms. An example for the following was presented.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.609-612
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• 2021

Government agencies and companies are establishing and promoting digital transformation strategies in various industrial fields, and are leading the era of the 4th industrial revolution through successful technological innovation. In this time of change, we can see many stories of global companies Nike and Starbucks as successful examples of digital transformation. These two companies are showing successful results through digital transformation. Domestic companies are also conducting digital innovation based on mobile, cloud, IoT, artificial intelligence, and AR/VR technologies, and are establishing RPA (Robotic Process Automation) processes for high efficiency and high productivity. In this paper, we introduce the 3D digital twin space construction automation process technique using data from the entire construction cycle of design, construction, and maintenance of the construction industry, and look into the digital transformation strategy of the construction industry in the future.