• 한국융합학회논문지
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• 제13권4호
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• pp.155-161
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• 2022

코로나19의 확산으로 '가상관광'이 주목받고 있다. 포털 뉴스를 대상으로 '가상관광'을 키워드로 검색하여 데이터 마이닝 기법인 로그오즈비 분석, 명사 빈도분석, 의미망 분석을 통해 추이와 방향성을 고찰하였다. 그 결과, 코로나19 이전부터 '체험'과 '기술'기반의 '가상관광'에 주목하고 있었으며, '콘텐츠의 다양성 확보'에서 코로나19 이후 '지역 경제의 회복을 위한 사업'으로 바뀌었다는 점과 '온라인' 기반의 '상호작용'이 가능한 '가상현실' '확장현실' 등의 정보통신기술 의존성이 커졌다는 점을 명확히 할 수 있었다. 메타버스 등 '가상공간'에 대한 수요가 확대되고 있으므로 정부는 조사결과에 기초한 지원계획과 정책을 수립하고, 지자체와 기업은 AISAS(Attension, Interest, Search, Action, Share)에 주목하여 차별적 콘텐츠를 기획·제작하며, 대학과 연구기관은 콘텐츠에 맞는 기술을 개발하여 적용, 평가, 실용화함으로써 경제적, 체계적, 순환적 구조가 이루어질 수 있도록 해야 한다.

• 한국전자통신학회논문지
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• 제17권4호
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• pp.617-624
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• 2022

V2X를 탑재한 소형 전기운송차는 기존 자동차의 운전시스템에 더 많은 정보와 기능을 제공할 수 있다. V2X 기술의 주요 요소는 V2V(자동차 대 자동차), V2N(자동차 대 네트워크), V2I(자동차 대 인프라) 등이 있다. 본 연구는 외부장비와 연계되는 VI형 E-PTO를 설계하고 구현하는 것으로 E-PTO는 DC/DC 변환기, DC/AC 변환기, 배터리 양방향 충전시스템 등으로 구성된다. 또한 구동을 위한 기기와 제어시스템을 구현하였다. 기동/정지 및 정상상태 운전 통한 VI형 E-PTO 구성부품에 대한 시험결과는 100ms 이내 회복시간과 순간 전압변동율 10%의 허용 가능한 요건을 충족하였다.

• Journal of Ginseng Research
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• 제47권1호
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• pp.89-96
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• 2023

Background and aim: Panax ginseng, a key herbal medicine of replenishing Qi and tonifying Spleen, is widely used in the treatment of gastrointestinal diseases in East Asia. In this study, we aim to investigate the potential effects and mechanisms of polysaccharides from P. ginseng (PGP) on intestinal mucosal restitution which is one of the crucial repair modalities during the recovery of mucosal injury controlled by the Ca²⁺ signaling. Methods: Rat model of intestinal mucosal injury was induced by indomethacin. The fractional cell migration was carried out by immunohistochemistry staining with BrdU. The morphological observations on intestinal mucosal injury were also performed. Intestinal epithelial cell (IEC-6) migration in vitro was conducted by scratch method. Western-blot was adopted to determine the expressions of PLC-𝛾1, Rac1, TRPC1, RhoA and Cav-1. Immunoprecipitation was used to evaluate the levels of Rac1/PLC-𝛾1, RhoA/TRPC1 and Cav-1/TRPC1. Results: The results showed that PGP effectively reduced the assessment of intestinal mucosal injury, reversed the inhibition of epithelial cell migration induced by Indomethacin, and increased the level of Ca²⁺ in intestinal mucosa in vivo. Moreover, PGP dramatically promoted IEC-6 cell migration, the expression of Ca²⁺ regulators (PLC-𝛾1, Rac1, TRPC1, Cav-1 and RhoA) as well as protein complexes (Rac1/PLC-𝛾1, Cav-1/TRPC1 and RhoA/TRPC1) in vitro. Conclusion: PGP increases the Ca²⁺ content in intestinal mucosa partly through controlling the regulators of Ca²⁺ mobilization, subsequently promotes intestinal epithelial cell migration, and then prevents intestinal mucosal injury induced by indomethacin.

• International journal of advanced smart convergence
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• 제12권4호
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• pp.208-216
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• 2023

The purpose of our study is to design datasets for Artificial Intelligence learning for cold sea fish farming. Salmon is considered one of the most popular fish species among men and women of all ages, but most supplies depend on imports. Recently, salmon farming, which is rapidly emerging as a specialized industry in Gangwon-do, has attracted attention. Therefore, in order to successfully develop salmon farming, the need to systematically build data related to salmon and salmon farming and use it to develop aquaculture techniques is raised. Meanwhile, the catch of pollack continues to decrease. Efforts should be made to improve the major factors affecting pollack survival based on data, as well as increasing the discharge volume for resource recovery. To this end, it is necessary to systematically collect and analyze data related to pollack catch and ecology to prepare a sustainable resource management strategy. Image data was obtained using CCTV and underwater cameras to establish an intelligent aquaculture strategy for salmon and pollock, which are considered representative fish species in Gangwon-do. Using these data, we built learning data suitable for AI analysis and prediction. Such data construction can be used to develop models for predicting the growth of salmon and pollack, and to develop algorithms for AI services that can predict water temperature, one of the key variables that determine the survival rate of pollack. This in turn will enable intelligent aquaculture and resource management taking into account the ecological characteristics of fish species. These studies look forward to achievements on an important level for sustainable fisheries and fisheries resource management.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권4호
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• pp.980-997
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• 2024

To improve the brightness of images and reveal hidden information in dark areas is the main objective of low-light image enhancement (LLIE). LLIE methods based on deep learning show good performance. However, there are some limitations to these methods, such as the complex network model requires highly configurable environments, and deficient enhancement of edge details leads to blurring of the target content. Single-scale feature extraction results in the insufficient recovery of the hidden content of the enhanced images. This paper proposed an edge detection-based multi-scale feature enhancement network for LLIE (EDMFEN). To reduce the loss of edge details in the enhanced images, an edge extraction module consisting of a Sobel operator is introduced to obtain edge information by computing gradients of images. In addition, a multi-scale feature enhancement module (MSFEM) consisting of multi-scale feature extraction block (MSFEB) and a spatial attention mechanism is proposed to thoroughly recover the hidden content of the enhanced images and obtain richer features. Since the fused features may contain some useless information, the MSFEB is introduced so as to obtain the image features with different perceptual fields. To use the multi-scale features more effectively, a spatial attention mechanism module is used to retain the key features and improve the model performance after fusing multi-scale features. Experimental results on two datasets and five baseline datasets show that EDMFEN has good performance when compared with the stateof-the-art LLIE methods.

• Animal Bioscience
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• 제37권4_spc호
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• pp.755-774
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• 2024

The main objective of this study was to present data on the current situation and future trends of pig meat production in the European Union-27 (EU). Pig production has played an important social and economic role for centuries in many states of the EU. In 2022, pig meat production in the EU reached 23 M tons, which represented 21% of total production worldwide. The two key reasons that justify such amount of pork produced, are the acceptance and high consumption of the meat by the local population and the high quality of the meat produced which facilitated pork export. However, current data show a reduction in pork production for the last three years, as a consequence of a series of events that include i) problems with the chain of ingredients supply, ii) uncontrolled increase in African Swine Fever (ASF) outbreaks, iii) fast recovery of pig production in China, iv) increasing concerns by the rural population on the high cost to meet future requirements of the EU legislation on farm management, environmental sustainability and animal welfare, v) increased cost of all inputs involved in pig production and vi) limited interest of the new farmer generation to work on the pig sector. Consequently, pork production is expected to decrease in the EU for the next years, although sales will be maintained at a relative high level because pork is the meat preferred by local consumers in most EU countries. In order to maintain the favourable position of the pork industry in the near future, strategies to implement include: i) maintain the quality of the meat destinated to export markets, ii) improve the control of outbreaks of ASF and other swine diseases, iii) implementation of technological innovations to improve working conditions making more attractive to work in the pork sector of the food chain to the new generation of farmers and workers.

• Journal of Information Science Theory and Practice
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• 제12권3호
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• pp.14-35
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• 2024

This qualitative study explores cyberbullying among college students through Habermas's Theory of Communicative Action to examine the dissonance between online interactions and principles of rational discourse. Cyberbullying is a pervasive issue in digital communication that undermines logical, evidence-based conversation, fostering environments where misinformation, manipulation, and harm thrive. By analyzing case studies from three universities, the research identifies the characteristics, dynamics, and emotional impacts of cyberbullying on victims, highlighting the role of social media platforms in facilitating these negative interactions. The findings reveal significant challenges to authentic and equal online conversations, driven by power imbalances and a lack of genuine communication, leading to psychological distress, erosion of self-esteem, and changes in behavior among victims. The study underscores the potential of social media design and policy interventions to mitigate cyberbullying, emphasizing the need for educational programs, technological solutions, and community support to promote a safer, more respectful digital environment. Key themes include the dynamics of cyberbullying, the suppression of rational discourse, the psychological and emotional consequences of inauthentic communication, and strategies for resilience and recovery. The research contributes to understanding cyberbullying's complexities and suggests a multifaceted approach to addressing it, aligning with Habermas's ideal of communicative rationality to foster healthier online communities. Future research should further explore the intersection of technology design, user behavior, and regulatory policies to combat cyberbullying effectively.

• 센서학회지
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• 제33권5호
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• pp.274-287
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• 2024

Chemiresistors play a crucial role in numerous research fields, including environmental monitoring, healthcare, and industrial safety, owing to their ability to detect and quantify gases with high sensitivity and specificity. This review provides a comprehensive overview of the recent advancements in photoactivated chemiresistors and emphasizes their potential for the development of highly sensitive, selective, and low-power gas sensors. This study explores a range of structural configurations of sensing materials, from zero-dimensional quantum dots to three-dimensional, porous nanostructures and examines the impact of these designs on the photoactivity, gas interactions, and overall sensor performance-including gas responses and recovery rates. Particular focus is placed on metal-oxide semiconductors and the integration of ultraviolet micro-light emitting diodes, which have gained attention as key components for next-generation sensing technologies owing to their superior photoactivity and energy efficiency. By addressing existing technical challenges, such as limited sensitivity, particularly at room temperature (~22℃), this paper outlines future research directions, highlighting the potential of photoactivated chemiresistors in developing high-performance, ultralow-power gas sensors for the Internet of Things and other advanced applications.

• 대한핵의학회지
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• 제35권6호
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• pp.364-370
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• 2001

목적: 허혈성 심질환에서 재관류 이후 기절심근이 동면심근보다 빠른 기능회복을 보임과, 심근 SPECT 상의 관류결손 가역성에 따라 기절심근과 동면심근이 구별 가능함을 시사하는 최근의 보고들을 바탕으로, 수술 전 관류결손 가역성에 따라 CABG 이후 심근 기능회복의 시간경과에 차이가 있는지 알아보고자 하였다. 대상 및 방법: 92명의 허혈성 심질환 환자에서 CABG 이전, 3개월 후, 17개월 후에 Tl-201 휴식기/디피리다몰 부하 Tc-99m-MIBI 게이트 SPECT를 실시하고, 각 영상에서 심근을 20분절로 나누어 각 분절의 관류와 수축기 두꺼워짐을 자동정량 소프트웨어를 이용하여 정량하였다. 관류결손과 두꺼워짐 이상을 보인 심근을 관류결손 가역성 있음(REV)과 없음(IRREV)의 두 군으로 나누고, 각각의 군에서 CABG 후 10% 이상의 두꺼워짐 호전을 기능회복으로 정의하여 3개월과 17개월째 심근의 기능회복 양상을 비교해 보았다. 결과: 129분절이 분석대상에 포함되어 76분절이 REV, 53분절이 IRREV 군으로 분류되었다. 이중 3개월째 기능회복심근은 REV군이 61개(80%), IRREV 군은 28개 (53%)로 유의한 차이를 보였다(p<0.001). 그러나 17개월째에는 REV 군이 60개 (79%), IRREV의 군이 37개 (70%)로 두 군간 차이가 없었다(p=n.s.). 한편 각 군 내에서 3개월과 17개월의 기능회복 분절을 비교하였을 때, REV 군은 차이가 없었으나(p=n.s.) IRREV 군은 17개월째 기능회복 심근이 3개월보다 유의하게 많았다(p<0.05). 결론: 생존능이 있는 허혈성 기능장애 심근에서, 관류결손의 가역성이 없는 심근은 가역성이 있는 심근보다 재관류 이후 기능회복이 지연되어 있다.

• 대한핵의학회지
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• 제37권5호
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• pp.278-287
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• 2003

목적: 생존심근 진단에 있어 니트로글리세린 투여 Tc-99m-MIBI 게이트 심근SPECT의 진단성능을 휴식/지연재분포 Tl-201 심근SPECT와 비교하였다. 대상 및 방법: 22명의 관상동맥질환자에서 Tl-201 휴식/디피리다몰 부하 Tc-99m-MIBI 게이트 지연재분포 Tl-201 심근SPECT를 시행하였다. 이 때 게이트SPECT 시행 후 니트로글리세린 0.6 mg을 설하투여하고 연이어 그 자리에서 게이트SPECT를 1회 더 반복 시행하였다. 환자들에게 관상동맥우회로술을 시행하고 3개월 후 게이트 심근SPECT를 추적검사로 시행하였다. 20 분절 모델을 이용하여 각 분절에서 휴식, 지연재분포, 기저상태와 니트로글리세린투여 후의 심벽운동 및 수축기비후화 등을 정량하였다. 정량화된 생존심근 예측지표들 중, (1) 휴식기 Tl-201 섭취, (2) Tl-201 지연재분포, (3) 기저상태의 수축기비후화, (4) 니트로글리세린 투여 후의 수축 기비후화, 네 가지의 예측성능을 평가하고 비교하였다. 결과: 총 100개의 분절이 분석에 포함되었으며, 이 중 66개(66%)의 분절이 재관류 후 기능 회복을 보였다. 최적 기준점인 50%를 기준으로 하였을 때, ROC 곡선 분석에서 휴식기 Tl-201 섭취와 Tl-201 지연재분포의 민감도, 특이도는 각각 79%와 44%, 그리고 82%와 44%였다. 또한 15%를 기준으로 하여, 기저상태 수축기비후화와 니트로글리세린 투여 후 수축기비후화의 민감도, 특이도는, 각각 49%, 50%와 64%, 65%였다. ROC 곡선의 AUC는 니트로 글리세린 투여 후 수축기비후화가 기저시 수축기비후화에 비하여 유의하게 높았다(p=0.004). 결론: 니트로글리세린 투여 Tc-99m-MIBI 정량적 게이트 심근SPECT는 기능이상 심근에서 기능 회복을 예측하는데 유용한 검사이다.