• 한국식품영양학회지
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• 제35권2호
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• pp.137-149
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• 2022

The purpose of this paper was to analyze domestic patents for food using edible insects. From January 1, 1980 to December 31, 2021, patents filed with the Korean Intellectual Property Office were searched, and a total of 242 valid patents were selected. The trend of Korean patent applications for edible insect food has increased since 2015, with 57 cases (the highest number) in 2017. As for the edible insects used in food, Bombyx mori L. were the most common with 127 cases, followed by Tenebrio molitor L. with 118 cases. By type of applicant, individuals accounted for the most, with 132 cases. As a result of grouping patents by food classification, 67 cases of edible insects were used in snacks, breads, and rice cakes. As a result of patent analysis, an effort was made to supplement insufficient nutrients by adding nutritionally excellent edible insects to existing foods, and efforts were made to improve the sensory properties of insect foods. It is expected that this study will contribute to establishing future R&D directions and patent application strategies related to edible insect food.

• Journal of Multimedia Information System
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• 제8권4호
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• pp.259-266
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• 2021

Security vulnerabilities have been reported in major design software systems such as Adobe Photoshop and Illustrator, which are recognized as de facto standard design tools in most of the design industries. Companies need to evaluate and manage their risk levels posed by those vulnerabilities, so that they could mitigate the potential security bridges in advance. In general, security vulnerabilities are discovered throughout their life cycles repeatedly if software systems are continually used. Hence, in this study, we empirically analyze risk levels for the three major graphical design software systems, namely Photoshop, Illustrator and GIMP with respect to a software vulnerability discovery model. The analysis reveals that the Alhazmi-Malaiya Logistic model tends to describe the vulnerability discovery patterns significantly. This indicates that the vulnerability discovery model makes it possible to predict vulnerability discovery in advance for the software systems. Also, we found that none of the examined vulnerabilities requires even a single authentication step for successful attacks, which suggests that adding an authentication process in software systems dramatically reduce the probability of exploitations. The analysis also discloses that, for all the three software systems, the predictions with evenly distributed and daily based datasets perform better than the estimations with the datasets of vulnerability reporting dates only. The observed outcome from the analysis allows software development managers to prepare proactively for a hostile environment by deploying necessary resources before the expected time of vulnerability discovery. In addition, it can periodically remind designers who use the software systems to be aware of security risk, related to their digital work environments.

• 동아시아경상학회지
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• 제11권1호
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• pp.31-40
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• 2023

Purpose - The prior literature indicated that green consumerism encouragements and programs have led to strict standards against environmental issues, thus reducing emissions from motors and engines and improving clean-burning energy options. The present study seeks to elaborate on the responsibility of ecological education in amplifying potential green consumers. Research design, Data, and methodology -The justification of the qualitative literature method used in this research is essential because, through the extensive explanation, justification and description of the methods used, researchers can enhance the trustworthiness of the research to a particular or designated audience. Result - Environmental education helps customers worldwide recognize the barriers to purchasing green products at every purchase level. Prior studies pointed out that after environmental education, consumers are much more willing to go greener in their consumption and safeguard the environment. Customers want to act green; however, they anticipate companies to lead the way. Conclusion - This research suggests that reusing prevailing resources creatively implies that fewer dollars are spent buying novel stock to generate green products. Although establishing a green company is expensive, it saves a lot of cash over time. Greening procedures can lead to efficiency gains by minimizing energy costs, permitting companies to acquire green tax credits.

• Journal of Information Science Theory and Practice
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• 제10권1호
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• pp.18-29
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• 2022

This study aimed at overviewing the situation of information literacy education and research in the Association of Southeast Asian Nations (ASEAN) region, and developing an ASEAN network model on information literacy. This research used documentary and qualitative research methods. Key resources consisted of twenty bibliometric studies and related documents and two groups of key persons. The first group consisted of twenty-seven purposive key persons from eight countries, and the second group consisted of seven key persons from five countries. The research instruments comprised a data collection form and focus group/ interviewing forms. Data was collected by focus group discussion and online interviews, and qualitative content analysis was used in data analysis and presented descriptively. Research findings showed that: 1) information literacy education and research in the ASEAN region varied across countries and placed importance on the educational context. Singapore was found to be the most leading and productive country in ASEAN in information literacy with the highest number of journal articles on the international scale, and was among the most contributing groups at the regional and global level; 2) the ASEAN Network on Information Literacy (ASEAN-NIL) has been developed as a model with its principles, objectives, management system, activities, and promotion strategies. Its strengths are an integrated scope, multidimensional orientation, and interdisciplinary and collaborative partnerships at the national, regional, and international level, suitable for the ASEAN context, the online environment, and the digital educational ecosystem.

• 한국의류학회지
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• 제46권5호
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• pp.927-943
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• 2022

This study explores the organic form generation method, which reflects the evolving biomimetic approaches converging in fashion technology and considers the characteristics of the organic relationship between the body and the clothing to be represented in contemporary fashion. A literature review on biomimetic architecture and design-related theory and a case study on biomimetic fashion were both conducted. Images, articles, and data related to biomimicry fashion and clothing, including the increase in virtual fashion cases around 2020, were analyzed based on the literature review. Biomimicry was used to derive interdisciplinary similarities in the organic morphogenesis principle, and the result was categorized as a network system, folds and unfolds, pneumatic structures, auxetic growth, and membranes. The biomimetic fashion characteristics, including externalization of the body's interior, expansion of the body structure and silhouette, body protection, independence from the body, and post-human expression through virtualization, were analyzed. Morphogenetic processes performed through biomimetic vision are expected to aid in generating research on the possibility of mass production or popularization in the future through various experimental technical studies.

• 문화기술의 융합
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• 제8권5호
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• pp.653-662
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• 2022

최근 이미지와 같은 다차원의 복잡한 패턴 인식에 많이 사용하는 CNN(Convolutional Neural Networks)을 적용한 지문분류 방법이 다양하게 연구되고 있다. CNN 기반 지문분류 방법은 일반적으로 특징추출과 분류 단계로 나누어진 두 단계의 과정을 하나로 통합하여 실행할 수 있다. 따라서 CNN 기반 방법은 지문 이미지의 특징을 자동으로 추출할 수 있으므로, 처리 과정을 단축시킬 수 있는 장점이 있다. 또한 불완전하거나 품질이 낮은 지문의 특징을 다양하게 학습할 수 있으므로, 예외 상황의 특징 추출에 대해 유연성이 있다. 본 논문에서는 CNN 기반 지문분류연구동향을 파악하고, 실험 방법 및 결과 분석을 통해 향후 연구방향에 대해 논의하고자 한다.

• Journal of information and communication convergence engineering
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• 제21권3호
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• pp.208-215
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• 2023

Deep learning techniques provide powerful solutions to several pattern-recognition problems, including Raman spectral classification. However, these networks require large amounts of labeled data to perform well. Labeled data, which are typically obtained in a laboratory, can potentially be alleviated by data augmentation. This study investigated various data augmentation techniques and applied multiple deep learning methods to Raman spectral classification. Raman spectra yield fingerprint-like information about chemical compositions, but are prone to noise when the particles of the material are small. Five augmentation models were investigated to build robust deep learning classifiers: weighted sums of spectral signals, imitated chemical backgrounds, extended multiplicative signal augmentation, and generated Gaussian and Poisson-distributed noise. We compared the performance of nine state-of-the-art convolutional neural networks with all the augmentation techniques. The LeNet5 models with background noise augmentation yielded the highest accuracy when tested on real-world Raman spectral classification at 88.33% accuracy. A class activation map of the model was generated to provide a qualitative observation of the results.

• 연구윤리
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• 제4권2호
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• pp.19-25
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• 2023

Purpose: This research article aim is to critically examine the ethical principles that govern research publication in social sciences and to identify and analyze the everyday ethical challenges social science researchers face during the publication process. Also, the research explores the factors contributing to ethical violations in social science research publication. Research design, data, and methodology: The present research has conducted comprehensive literature analysis and the authors of this research has figured out total 24 significant prior studies in the current literature dataset for the literature review and finding section. The procedure of data obtaining included the elimination process to screen dissertation papers, conference papers, and internet sources. Results: Previous The sociologies, given their emphasis on the human way of behaving and interactions, demand heightened ethical considerations due to the potential impact of research findings on individuals and society. Therefore, understanding and upholding ethical standards are essential for researchers at all career stages. Conclusions: In order to retain the integrity, legitimacy, and societal influence of research findings, ethical issues are crucial and the necessity for flexible and comprehensive ethical frameworks is highlighted by the rapid evolution of research methodology, digital platforms, and interdisciplinary collaborations, adding new dimensions of ethical complexity.

• 문화기술의 융합
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• 제9권2호
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• pp.245-250
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• 2023

이 논문은 국내 영화 <거울속으로>와 리메이크인 <미러>를 비교 분석하는 것이다. 두 영화는 거울에 반사된 이미지와 실제와의 차이를 부각시키는 21세기 초 국내 영화의 경향을 예시한다. 기본적인 설정과 플롯에는 유사성이 있지만, 내러티브를 이끌어가는 동기 등에서 주요한 차이점들이 있다. <거울속으로>는 원혼설화의 서사전통을 따르는데, 권선징악의 구도에 사회 비판 의식이 내포되어 있다. 거울을 통한 악령의 사악한 작용이 지배적인 <미러>는 서양의 공포영화의 전통을 따르고 있다. 이 리메이크는 동양문화를 근간으로 하는 서사를 기독교 문화가 지배적인 서구적 관점에서 재해석하고 재창조하는 한 방식을 예시해준다.

• Journal of Trauma and Injury
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• 제36권3호
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• pp.281-285
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• 2023

Traumatic uterine rupture is uncommon but can be fatal and life-threatening for both the mother and infant. In addition to complications caused by trauma itself, such as pelvic fracture, gestational complications such as placental abruption, abortion, premature labor, rupture of membranes, maternal death, and stillbirth can occur. In particular, fetuses have been reported to have a high mortality rate in cases of traumatic uterine rupture. A 35-year-old pregnant female patient fell from the fourth floor and was admitted to our trauma center. We observed large hemoperitoneum, pelvic fractures, and spleen laceration, and the fetus was presumed to be located outside the uterus. The pregnant woman was hemodynamically unstable. Although the fetus was stillborn, angioembolization and surgical treatment were properly performed through collaboration with an interventional radiologist, obstetrician, and trauma surgeons. After two orthopedic operations, the patient was discharged after 34 days. This case report suggests the importance of a multidisciplinary approach in the treatment of pregnant trauma patients.