• Journal of the Korea Convergence Society
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• v.12 no.9
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• pp.185-191
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• 2021

In our study, we evaluated possibility of distillation process introduction for Korean Rubus coreanus balsamic vinegar production development, has a less complicated and more rapid process leading to higher production volumes and cost savings. In order to investigate the applicability of concentrated vinegar fraction (CVF) and distilled vinegar fraction (DVF) obtained from the distillation process as balsamic and distillation vinegar, acidity, pH, and specific gravity (S.G.) were measured for the vinegar fraction obtained from the distillation process. The acidity of final CVF (60% of initial volume) obtained 4 types of vinegar (acidity; 4.42, 4.84, 5.61, and 6.35) were increased mean 38.1%, compared to initial acidities. Especially, acidity and pH of the final CVF was similar to balsamic vinegar. In addition, acidity of DVF also increased and it of the final fraction was 4.41%, 4.95%, 5.88%, and 6.72%, respectively. And it was suggested that the final DVF could be used as distilled vinegar. In this study, it was confirmed that vinegar can be effectively concentrated through the distillation process, and distilled vinegar can be produced at the same time. However, it is thought that the introduction of the distillation process can be decided only after additional biochemical characteristics such as organic acid content and antioxidant activity measurement for each vinegar fraction are analyzed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.5
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• pp.343-353
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• 2021

Historical dramas are changing in response to the public who wants more dramatic development, and historical costumes are also expressed in a modern sense. The purpose of this study is to examine the modernization of historical costumes in historical dramas and how the modernization of historical costumes in historical dramas is fostered from the learner's point of view with suggesting implications. As a result of this study, first, the essential problem with the modernization of historical costumes was the excessive modern transformation that undermines historical facts in historical dramas. Second, the negative perceptions of the modernization of historical costumes in historical dramas included the loss of the unique Korean identity, decreased immersion in drama, and the educational influence of media. Positive perceptions focused on the increased interest through raising awareness of traditional culture, compromises on changes in the times, and increased visual play of the public. Third, the implications of the modernization of historical costumes in historical dramas require the awareness improvement of participants in historical drama and a thorough preliminary investigation by the costume designer on the historical costume, an in-depth study of traditional costumes, a systematic educational approach, viewers' attention, and government effort.

• Journal of Broadcast Engineering
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• v.26 no.2
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• pp.125-131
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• 2021

In recent years, Convolutional Neural Networks (CNNs) have achieved outstanding performance in the fields of computer vision such as image classification, object detection, visual quality enhancement, etc. However, as huge amount of computation and memory are required in CNN models, there is a limitation in the application of CNN to low-power environments such as mobile or IoT devices. Therefore, the need for neural network compression to reduce the model size while keeping the task performance as much as possible has been emerging. In this paper, we propose a method to compress CNN models by combining matrix decomposition methods of LR (Low-Rank) approximation and CP (Canonical Polyadic) decomposition. Unlike conventional methods that apply one matrix decomposition method to CNN models, we selectively apply two decomposition methods depending on the layer types of CNN to enhance the compression performance. To evaluate the performance of the proposed method, we use the models for image classification such as VGG-16, RestNet50 and MobileNetV2 models. The experimental results show that the proposed method gives improved classification performance at the same range of 1.5 to 12.1 times compression ratio than the existing method that applies only the LR approximation.

• Journal of Broadcast Engineering
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• v.23 no.6
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• pp.855-865
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• 2018

Sound event detection is one of the research areas to model human auditory cognitive characteristics by recognizing events in an environment with multiple acoustic events and determining the onset and offset time for each event. DCASE, a research group on acoustic scene classification and sound event detection, is proceeding challenges to encourage participation of researchers and to activate sound event detection research. However, the size of the dataset provided by the DCASE Challenge is relatively small compared to ImageNet, which is a representative dataset for visual object recognition, and there are not many open sources for the acoustic dataset. In this study, the sound events that can occur in indoor and outdoor are collected on a larger scale and annotated for dataset construction. Furthermore, to improve the performance of the sound event detection task, we developed a dual CNN structured sound event detection system by adding a supplementary neural network to a convolutional neural network to determine the presence of sound events. Finally, we conducted a comparative experiment with both baseline systems of the DCASE 2016 and 2017.

• The Journal of the Convergence on Culture Technology
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• v.5 no.2
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• pp.59-65
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• 2019

This study examines how cinematic texts are used in movies through Lee Jun-ik's 2015 film, and what narrative and visual effects are obtained through them. This film portrays poet Yun Dong-ju as a central figure and chooses to reconstruct his life. The movie, , used Yun's poetry as a device to maximize the lyricism of the film and to suggest a change in the fate of the character and the inside. In other words, uses Yun Dong-ju's poetry to aesthetically express the inner change of the characters in the film and the sensitivity of the film. Through this, I visualize Yun Dong-ju as poet Yun Dong-ju, a poet who was stuffed in literary books, as a normal literary youth. It is also a reminder of the weight of the reality that the present youth is experiencing and the problem of an individual living in history. In this respect, the movie is a major text that depicts the poetry and poetry of the time, and the age of poet through the media. 'Poetry' as the text of the text delivered with the image maximized the lyricism of the image and led to high aesthetic achievement. Through poetry and poetry, it can be regarded as the main text approaching the problems of history, individual, literature and reality.

• Journal of Korea Entertainment Industry Association
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• v.14 no.4
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• pp.17-29
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• 2020

This research looked into the two programs There are No Bad Dogs in the World(EBS1) and The Dogs are Respectable(KBS2) that can be considered as one of the factors that changed the culture of dog rearing in the country. Focus was also directed toward the cultural intermediary work of trainer Hyung-Wook Kang and veterinarian Chae-Hyun Seol, and the linguistic texts and visual images that describe the programs were analyzed. The findings showed that the two experts reproduce dog-related beliefs and values using devices such as "serious" storytelling, dog bodies, and guardian re-education. They perform cultural intermediary work in that they create the value of the companion dog culture in these programs and provide corresponding products and services to consumers through direct face-to-face interactions. This study contributes academically in the following respects. First, the issue of companion dogs in Korea was approached from a cultural point of view rather than bounding analysis to the industrial and economic level called the "petconomy" (pet + economy). Second, the concept of cultural intermediaries and related theories were examined, along with how the two experts engender the value of dog training in the broadcasting program. The results are expected to help illustrate the diversity of Korean dog culture.

• Journal of Korea Entertainment Industry Association
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• v.13 no.7
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• pp.1-13
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• 2019

This study tried to explore the contents of film critics' reviews reported in the press. Based on fifty nine Korean movies with over 100,000 audience in 2017, this study collected 1113 reviews from fifty five movies with the exception of four without reviews. This study focused on the correlation between film's overall quality and four evaluation items such as directing, acting, story, and the visual. Examining the difference in the report timing of the review, the length of the review, and the intensity of the opinion, this study also analyzed the relationship between the internal aspects of reviews and box office performance. According to the results, the valence of critics' reviews was generally positive. Looking at the difference of reporting time, this valence was higher in the week before release than in the release week of film. The evaluation items of reviews were highly covered both before movie release and in the opening week. These were significantly declined in the second week of release. In the relationship between the number of reviews by each movie and box office performance, a positive correlation was found.

• Journal of the Korea Society of Computer and Information
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• v.28 no.10
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• pp.85-92
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• 2023

In this paper, we propose a method for automatically generating story-based abbreviated summaries from long-form dramas and movies. From the shooting stage, the basic premise was to compose a frame with illusion of depth considering the golden division as well as focus on the object of interest to focus the viewer's attention in terms of content delivery. To consider how to extract the appropriate frames for this purpose, we utilized elemental techniques that have been utilized in previous work on scene and shot detection, as well as work on identifying focus-related blur. After converting the videos shared on YouTube to frame-by-frame, we divided them into a entire frame and three partial regions for feature extraction, and calculated the results of applying Laplacian operator and FFT to each region to choose the FFT with relative consistency and robustness. By comparing the calculated values for the entire frame with the calculated values for the three regions, the target frames were selected based on the condition that relatively sharp regions could be identified. Based on the selected results, the final frames were extracted by combining the results of an offline change point detection method to ensure the continuity of the frames within the shot, and an edit decision list was constructed to produce an abbreviated summary of 62.77% of the footage with F1-Score of 75.9%

• Journal of Internet Computing and Services
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• v.24 no.6
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• pp.81-89
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• 2023

In modern society, blind people face difficulties in navigating common environments such as sidewalks, elevators, and crosswalks. Research has been conducted to alleviate these inconveniences for the visually impaired through the use of visual and audio aids. However, such research often encounters limitations when it comes to practical implementation due to the high cost of wearable devices, high-performance CCTV systems, and voice sensors. In this paper, we propose an artificial intelligence fusion algorithm that utilizes low-cost video sensors integrated into smartphones to help blind people safely navigate their surroundings during walking. The proposed algorithm combines motion capture and object detection algorithms to detect moving people and various obstacles encountered during walking. We employed the MediaPipe library for motion capture to model and detect surrounding pedestrians during motion. Additionally, we used object detection algorithms to model and detect various obstacles that can occur during walking on sidewalks. Through experimentation, we validated the performance of the artificial intelligence fusion algorithm, achieving accuracy of 0.92, precision of 0.91, recall of 0.99, and an F1 score of 0.95. This research can assist blind people in navigating through obstacles such as bollards, shared scooters, and vehicles encountered during walking, thereby enhancing their mobility and safety.

• Communications of Mathematical Education
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• v.38 no.3
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• pp.443-458
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• 2024

This study analyzed the mathematical academic perspective and the actual status of the school field on the introduction of a definite integral as a 'Fundamental Theorem of Calculus' in the 2015 revised mathematics curriculum. Therefore, in order to investigate the mathematical academic perspective and the actual status of the school field, a study was conducted with 12 professors majoring in mathematical analysis and 36 teachers. From a mathematical academic point of view, professors majoring in mathematical analysis said that introducing a definite integral as a 'Fundamental Theorem of Calculus' in the 2015 revised mathematics curriculum was difficult to significantly represent the essence and meaning of the definite integral. In addition, in the actual status of the school field, teachers recognize the need for a relationship between a definite integral and the area of a figure, but when a definite integral is introduced as a 'Fundamental Theorem of Calculus', students find it difficult to recognize the relationship between the definite integral and the area of a figure. As the 2022 revised curriculum, which will be implemented later, introduces definite integrals as a 'Fundamental Theorem of Calculus' this study can consider implications for the introduction and guidance of static integrals. And, this study proposed a follow-up study on an effective teaching and learning method that can relate the definite integral to the area of the figure when introducing the definite integral as the 'Fundamental Theorem of Calculus' and on various visual tools and media.