• International journal of advanced smart convergence
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• v.10 no.3
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• pp.181-186
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• 2021

Among human intellectual creations, the right granted by law to what is worth protecting is defined as intellectual property rights. Copyright is a legal right to creative finished products made by individuals, and in recent years, this legal right has been recognized as very important. In other words, copyright is a system created to protect the rights of individuals who created creations and to recognize their efforts. Works subject to copyright vary from poetry, thesis, novels to designs, paintings, music, and architecture, and the scope of the subject is gradually expanding. Recently, research has begun on how far the Metaverse design area absorbed into the real world among works. Computer-generated video productions and software program works are also subject to digital copyright protection, but it is also true that the interpretation of the author protection law for works, designs, and trademarks in the virtual world is unclear. This study aims to analyze copyrights based on case studies and theoretical backgrounds on copyright protection and to discuss the protection limitations of Metaverse design in the virtual world. In other words, the direction for the protection of Metaverse design is presented through clear distinction and definition of copyright protection in the tertiary virtual world. This study aims to present methods for design copyright protection in the era of Metaverse, respect copyright holders' creative activities, and develop our culture through protection of creations.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.711-724
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• 2021

The purpose of this paper is to investigate the profitability of the momentum effects on the Oman Stock Market (OSM). This study uses the monthly returns of all stocks listed on the OSM, with a total of 107 companies used in the study for the period from 2005 to 2018. According to the methodology developed by Jegadeesh and Titman (1993), this study builds momentum portfolios based on various sizes. Moreover, the January effect is also examined to recognize if this effect is related to the momentum effect. The results find that there is evidence of momentum returns and these returns are statistically and economically significant. The sub-periods confirmed the profitability of the momentum strategy. This paper shows that momentum returns are evident at different sizes; big, medium, and small-sized portfolios. Besides, the result shows that the classic January effect does not play an important role in the momentum returns. Thus, the implication is that the momentum should not take into account the annual, seasonal, and size returns. The capital asset pricing model (CAPM) or the three-factor model cannot explain momentum returns generated by individual stocks in the Oman Stock Market. These results are useful to academia and investors alike.

• International Area Studies Review
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• v.21 no.1
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• pp.137-161
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• 2017

This paper examines Myanmar's garment industry comparative's competitiveness by selecting Korea and Japan-Myanmar's main target exporting countries for their garment industry-and China and Thailand, the neighboring countries it has continued to have business relationships with since the economic sanctions in selecting the target countries, this study presents a competitive outlook at the Myanmar garment industry's potential for the future by analyzing trade intensity per main garment product. Therefore, Korea should recognize the advantages of Myanmar, compared to other countries with similar competitiveness in the textile industry, and should develop Myanmar textile industry into a future-oriented garment industry through measures such as labor force training, scaling up both industrial relations and safety facilities, and establishing sound labor-management relations.

• English & American cultural studies
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• v.14 no.2
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• pp.49-75
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• 2014

This paper argues that John Leguizamo disguises ethical intention with humor in his one-person show, Freak. The argument proceeds in three stages. First, on the basis of Slavoj ${\check{Z}}i{\check{z}}ek^{\prime}s$ theory that fantasies teach us how to desire discussed in The Sublime Object of Ideology, I analyze how and why Leguizamo exaggerates and thus de-constructs the ideological fantasies about Latin Americans in Freak. Through this analysis the ridiculous exaggeration of the fantasies and their deconstruction emerges as the means to surface the trauma caused by the fantasies, internally and externally curing and reconciling the audience. Second, I apply ${\check{Z}}i{\check{z}}ek^{\prime}s$ theory of the quilting point introduced in Looking Awry: An Introduction to Jacques Lacan through Popular Culture to reveal how "blots" in Freak form "black holes" in the audience's consciousness to smash their established view of the reality, inducing them to encounter with "the real." The investigation into Leguizamo's use of humor as the quilting point illuminates how he invites the audience to look awry beyond the popular fantasy at "the real" America. Third, on the ground of Emmanuel Levinas's theory that theaters are the space of ethics, namely "ethotopos" to emphasize responsible actions discussed in "Ethics as First Philosophy," I assert that Leguizamo disguises his ethical message with humor so as for the audience to recognize their responsibility for others in America and take action towards change.

• English & American cultural studies
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• v.18 no.3
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• pp.65-92
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• 2018

According to Wenying Xu, Asian American literature abounds in culinary metaphors and references (8); subsequently, a growing number of critics have begun to recognize that food "feeds into the literary rendering of Asian American subjectivity [and] provides a language through which to imagine Asian alterity in the American imagination" (Mannur 13). Ann Mah's Kitchen Chinese: A Novel about Food, Family, and Finding Yourself (2010) is yet another text within which to investigate how food "operates as one of the key cultural signs that structure people's identities" (Xu 2). Even as Kitchen Chinese insists on underscoring that Chinese food, as much as the voyage to her "motherland" China, is critical to protagonist Isabelle's quest to gain a better understanding of herself, we are able to observe how Isabelle exploits Chinese culture and its foodways as "food pornography" in order to align herself with mainstream America. Needless to say, the novels' relegation of Chinese food as "food porn" is problematic in that it encourages readers to participate in the exoticization of Asia and its culture, and the reduction of its people as the other. Ultimately, this essay aims to consider how the consumption and rejection of food becomes a critical means by which the Asian American subject fashions her identity.

• English & American cultural studies
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• v.9 no.1
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• pp.141-162
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• 2009

"Brokeback Mountain" deals with the love story between two homosexuals named Ennis and Jack. They never do use the word 'homosexual' but instead 'love.' They hide their love into the closet. And they conform to socially constructed gender roles. It is because they recognize that social order has punished the homosexuals severely through history. Especially, Ennis fears the homophobic heterosexual gaze. Through his paranoia, this article examines the conventional contradictory social order causing by the tragic story that is the homosexual "closet phenomenon." Such a phenomenon has resulted from the traditional patriarchal family system that is the central unit of society. Conventionally, patriarchy consists of a dominant male and non-dominant female system, based on force. Sexuality has been constructed, experienced, and understood in culturally and historically specific ways. Homosexuality has been imaged conventionally as a female disguised as a man. As such, homosexuality would violate and break such a constructed system that keeps the sexual hierarchy through male dominant construction. As homosexual, ironically with macho gender personas, Ennis and Jack are social outsiders. Through this story, Proulx suggests the conventional fixed social order is contradictory and, therefore forces the readers to re-consider the world and ponder about the future.

• Journal of KIBIM
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• v.12 no.1
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• pp.55-61
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• 2022

Recently, demand for designing own space is increasing as the rapid growth of home furnishing market. However, there is a limitation that it is not easy to compare the style between before construction view and after view. This study aims to translate real image into another style with GAN model learned with interior images. To implement this, first we established style criteria and collected modern, natural, and classic style images, and experimented with ResNet, UNet, Gradient penalty concept to CycleGAN algorithm. As a result of training, model recognize common indoor image elements, such as floor, wall, and furniture, and suitable color, material was converted according to interior style. On the other hand, the form of furniture, ornaments, and detailed pattern expressions are difficult to be recognized by CycleGAN model, and the accuracy lacked. Although UNet converted images more radically than ResNet, it was more stained. The GAN algorithm allowed us to represent results within 2 seconds. Through this, it is possible to quickly and easily visualize and compare the front and after the interior space style to be constructed. Furthermore, this GAN will be available to use in the design rendering include interior.

• Journal of Korea Multimedia Society
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• v.25 no.3
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• pp.461-467
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• 2022

This research is to raise awareness of food safety by designing and supporting a hazard food information notification platform for consumers. To this end, the design was carried out by dividing the process into a data extraction process, an application screen design process, and a CNN-based food inference process. Data was collected through public data APIs and crawling, and it was sent to each activity screen designed for Android studios so that it could be output. As a result, when the platform is executed, information on hazardous food names, registration dates, food classification, manufacturing dates, recovery grades, recovery reasons, recovery methods, company names, barcode numbers, and packaging units can be intuitively and conveniently checked. In addition, CNN-based food inference processes allowed mobile cameras to infer harmful food and applied various quantization techniques such as Dynamic Range, Integer, and Float16 to compare the degree of improvement in inference performance. As a result, the group that applied basic quantization and treated device resources with GPU showed the greatest improvement in inference performance. Through this platform, it is expected that the reliability of food safety will be improved by making it more convenient for consumers to recognize food risks.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.30 no.2
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• pp.34-43
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• 2022

In Efforts to prevent CFIT accidents so far, have been emphasizing various education measures to minimize the occurrence of human errors, as well as enforcement measures. However, current engineering measures remain in a system (TAWS) that gives warnings before colliding with ground or obstacles, and even actual automatic avoidance maneuvers are not implemented, which has limitations that cannot prevent accidents caused by human error. Currently, various attempts are being made to apply machine learning-based artificial intelligence agent technologies to the aviation safety field. In this paper, we propose a deep reinforcement learning-based artificial intelligence agent that can recognize CFIT situations and control aircraft to avoid them in the simulation environment. It also describes the composition of the learning environment, process, and results, and finally the experimental results using the learned agent. In the future, if the results of this study are expanded to learn the horizontal and vertical terrain radar detection information and camera image information of radar in addition to the terrain database, it is expected that it will become an agent capable of performing more robust CFIT autonomous avoidance.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.8
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• pp.1165-1171
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• 2022

Human behavior recognition using an accelerometer has been applied to various fields. As smartphones have become used commonly, a method for human behavior recognition using the acceleration sensor built into the smartphone is being studied. In the case of the elderly, falling often leads to serious injuries, and falls are one of the major causes of accidents at construction fields. In this article, we proposed recognition method for human falling direction using built-in acceleration sensor and orientation sensor in the smartphone. In the past, it was a common method to use the magnitude of the acceleration vector to recognize human behavior. These days, deep learning has been actively studied and applied to various areas. In this article, we propose a method for recognizing the direction of human falling by applying the deep learning multilayer technique, which has been widely used recently.