• Steel and Composite Structures
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• 제49권3호
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• pp.337-348
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• 2023

Successive wetting and drying cycles of concrete due to weather changes can endanger the safety of engineering structures over time. Considering wetting and drying cycles in concrete tests can lead to a more correct and reliable design of engineering structures. This study aims to provide a model that can be used to estimate the resistance properties of concrete under different wetting and drying cycles. Complex sample preparation methods, the necessity for highly accurate and sensitive instruments, early sample failure, and brittle samples all contribute to the difficulty of measuring the strength of concrete in the laboratory. To address these problems, in this study, the potential ability of six machine learning techniques, including ANN, SVM, RF, KNN, XGBoost, and NB, to predict the concrete's tensile strength was investigated by applying 240 datasets obtained using the Brazilian test (80% for training and 20% for test). In conducting the test, the effect of additives such as glass and polypropylene, as well as the effect of wetting and drying cycles on the tensile strength of concrete, was investigated. Finally, the statistical analysis results revealed that the XGBoost model was the most robust one with R2 = 0.9155, mean absolute error (MAE) = 0.1080 Mpa, and variance accounted for (VAF) = 91.54% to predict the concrete tensile strength. This work's significance is that it allows civil engineers to accurately estimate the tensile strength of different types of concrete. In this way, the high time and cost required for the laboratory tests can be eliminated.

• 농촌계획
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• 제29권4호
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• pp.137-152
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• 2023

Data is indispensable for digital transformation of agriculture with the development of innovative information and communication technology (ICT). In order to devise and prioritize strategies for enhancing data competitiveness in the agricultural sector, we employed an Analytic Hierarchy Process (AHP) analysis. Drawing from existing research on data competitiveness indicators, we developed a three-tier decision-making structure reflecting unique characteristics of the agricultural sector such as farmers'awareness of the data industry or awareness of agriculture among data workers. AHP survey was administered to experts from both agricultural and non-agricultural sectors with a high understanding of data. The overall composite importance, derived from the respondents, was rated in the following order: 'Employment Support', 'Data Standardization', 'R&D Support', 'Start-up Ecosystem Support', 'Relaxation of Regulations', 'Legislation', and 'Data Analytics and Utilization Technology'. In the case of experts in the agricultural sector, 'Employment Support' was ranked as the top priorities, and 'Legislation', 'Undergrad and Grad Education', and 'In-house Training' were also regarded as highly important. On the other hand, experts in the non-agricultural sector perceived 'Data Standardization' and 'Relaxation of Regulations' as the top two priorities, and 'Data Center' and 'Open Public Data' were also highly rated.

• 융합보안논문지
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• 제23권3호
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• pp.21-28
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• 2023

21세기 정보통신기술의 발달은 주요기반시설의 제어시스템에 초연결성과 초지능성을 갖게 하여 운용 효율성을 높였으나, 보안 취약점을 증가시켜 해킹 위협에 노출되고 있다. 그중에서도 일상생활에 필수적으로 사용하는 전력을 공급하는 전력시스템은 국가 중요기반체계로서 사이버공격의 주요 표적이 되고 있다. 최근에는 전력시스템을 보호하기 위해서 다양한 보안체계를 개발하고 실전형 사이버공방훈련을 통해서 전력시스템의 안정성을 유지하고자 한다. 하지만, 사이버공격이 인공지능과 빅데이터 등의 첨단 ICT 기술과 접목되면서 기존의 보안체계로 지능화되고 있는 사이버공격을 방어하기가 쉽지 않게 되었다. 이러한 지능화되는 사이버공격을 방어하기 위해서는 지능형 사이버공격의 유형과 양상을 사전에 파악하고 있어야 한다. 본 연구에서는 첨단 ICT 기술과 접목된 사이버공격의 진화에 대해서 분석하였다.

• International Journal of Knowledge Content Development & Technology
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• 제14권3호
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• pp.59-76
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• 2024

The prominent role accorded to social media in the academic community for research, teaching and learning revolves around its significance among users. Social media offers a platform for individuals to engage with and share perceptions relating to different disciplines. This current research was conducted to investigate the level of awareness and frequency of social media technology use among postgraduate students of Library and Information Science in Nigerian universities. The descriptive survey design was used for the study. Structured questionnaires were used to collect data from 919 library and information science (LIS) postgraduate students in the universities. In all, 742 copies out of the 919 distributed were returned and found usable, thereby making the return rate to be 81%. Data collected were analysed using mean and standard deviation. The study revealed that the LIS postgraduate students frequently use social media such as Wikipedia (x=3.94>3.50), Instagram (x=3.86>3.50), Facebook (x=3.85>3.50), Zoom ($\overline{x}$=3.78>3.50), LinkedIn (x=3.69>3.50), YouTube ($\overline{x}$=3.54>3.50), Twitter (x=3.52>3.50). The study established that students use social media tools for their personal, professional and research activities. The study also found that the level of awareness and use of social media by the students was high. The study recommended that the use of social media should be incorporated into the LIS curriculum including training sessions for the students on how to use the media effectively.

• 융합보안논문지
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• 제24권2호
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• pp.201-207
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• 2024

목소리는 인간의 의사소통에서 중요한 요소로, 음성인식 모델의 발전은 인공지능의 중요한 성과 중 하나이며 최근 인간의 생활에 다방면으로 사용되고 있다. 음성인식 모델의 활용은 군사분야에서도 피해갈 수 없는 과제이다. 하지만 인공지능 모델의 군사적 활용 이전에 모델의 취약성에 대한 연구가 필요하다. 본 연구에서는 다국적 음성인식 모델인 Whisper의 군사적 활용 가능성을 알아보기 위해, 전장소음, 잡음, 적대적 공격에 대한 취약성을 평가하였다. 전장소음을 포함하는 실험에서는 Whisper의 성능 저하가 크게 나타났으며, 평균 72.4%의 문자 오류율(CER)을 기록하여 군사적 활용에 어려움이 있는 것으로 나타났다. 또한, 잡음을 포함하는 실험에서는 낮은 강도의 잡음에 대해 Whisper가 강건하였으나, 높은 강도의 잡음에서는 성능이 저하되었고, 적대적 공격 실험에서는 특정 입실론 값에서 취약성이 드러났다. 따라서 Whisper 모델을 군사적 환경에서 사용하기 위해서는 파인튜닝, 적대적 훈련 등을 통해 개선이 필요하다는 것을 시사한다.

• International Journal of Computer Science & Network Security
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• 제24권1호
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• pp.226-234
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• 2024

The frequent handover problem and playing ping-pong effects in 5G (5th Generation) ultra-dense networking cannot be effectively resolved by the conventional handover decision methods, which rely on the handover thresholds and measurement reports. For instance, millimetre-wave LANs, broadband remote association techniques, and 5G/6G organizations are instances of group of people yet to come frameworks that request greater security, lower idleness, and dependable principles and correspondence limit. One of the critical parts of 5G and 6G innovation is believed to be successful blockage the board. With further developed help quality, it empowers administrator to run many systems administration recreations on a solitary association. To guarantee load adjusting, forestall network cut disappointment, and give substitute cuts in case of blockage or cut frustration, a modern pursuing choices framework to deal with showing up network information is require. Our goal is to balance the strain on BSs while optimizing the value of the information that is transferred from satellites to BSs. Nevertheless, due to their irregular flight characteristic, some satellites frequently cannot establish a connection with Base Stations (BSs), which further complicates the joint satellite-BS connection and channel allocation. SF redistribution techniques based on Deep Reinforcement Learning (DRL) have been devised, taking into account the randomness of the data received by the terminal. In order to predict the best capacity improvements in the wireless instruments of 5G and 6G IoT networks, a hybrid algorithm for deep learning is being used in this study. To control the level of congestion within a 5G/6G network, the suggested approach is put into effect to a training set. With 0.933 accuracy and 0.067 miss rate, the suggested method produced encouraging results.

• Journal of Yeungnam Medical Science
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• 제41권2호
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• pp.74-79
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• 2024

Patient-physician interaction (PPI) is an important area in medical education, but in-depth discussions on the content of the outcome of patient-doctor education are rare. Therefore, in this study, we will systematically analyze the research on PPI education in Korea. In this study, papers searched with keywords related to PPI education from Korea's academic journal service were targeted according to a systematic literature analysis method. The scope of the study was to include papers published in academic journals that are candidates for Korea Citation Index registration, excluding dissertations, research reports, posters, conference presentations, books, and internet materials. The content included papers targeting medical education and medical school students was set as the range. As a result of the analysis, although communication between PPI has many positive effects in the PPI in medical education at medical schools, obstacles do occur, and various ways to overcome them were suggested. Therefore, although medical interview training between patients and doctors in medical schools is necessary, it was analyzed as being based on overseas research or lacking in specific content. The core of PPI education appears to be medical interviews, and it seems necessary to discuss whether empathy or patient-centered medical care are appropriate as the main principles of PPI education in Korea. Therefore, education on the patient-doctor relationship is an important element in medical humanities and medical humanities education, and it is expected that research and education on this will progress more actively.

• 대한치위생과학회지
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• 제6권2호
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• pp.141-150
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• 2023

연구의 배경 및 목적: 본 연구에서는 노인구강관리에 대한 산업체 수요기반의 교육과정을 개발하여 운영함으로써 노인치위생학 교육의 효과를 확인해 보고자 진행하였다. 연구방법: 산업체 수요기반 현장중심 실무교육에 따른 전공역량달성도, 노인치위생과정 인식, 수업만족도의 전후차이를 검증하기 위하여 비모수 분석으로 윌콕슨 부호순위 검정(Wilcoxon signed rank test)을 수행하였으며, 각 요인간의 연관성을 확인하기 위해 스피어만 상관분석(Spearman's correlation analysis)을 수행하였다(p<0.05). 결과: 전공역량달성도의 경우 산업체 수요기반 현장중심 실무교육을 수행 후 '노인과의 의사소통 역량'이 유의미하게 향상되었다(p=0.031). 고찰: 노인치위생학 교육과정은 산업체 현장에서 활용가능한 실무중심의 교육과정이 학습자에게 제공되었을 때 노인에 대한 실제적인 이해와 노인구강관리에 대한 현장실무전공역량이 더욱 개발될 수 있을 것으로 판단된다.

• 한국의료질향상학회지
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• 제29권2호
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• pp.2-14
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• 2023

Purpose: This study aimed to identify strategies to enhance the competencies of patient safety coordinators in Korea. Methods: Fourteen participants from nine hospitals were interviewed between May and November 2022. Qualitative content analysis was used to analyze the data. Results: As for the strategies to enhance patient safety management competency, 3 themes and 11 sub-themes were derived. The first theme was 'Having individual competence as a patient safety coordinator', and the sub-themes were 'Communication skills with members', 'Flexible thinking from multiple perspectives', and 'Preparing for administrative work competencies that they had not experienced as a nurse.' The second theme was 'Responding strategically to promote improvement activities', and the sub-themes for it were 'Multi-angle approach to the problem', 'A careful approach so as not to be taken as criticism in the field', 'Increasing the possibility of improvement activities through awareness', 'Activating the network between patient safety coordinators', and 'Expanding learning opportunities through patient safety case analysis.' The third theme was 'Obtaining support to facilitate patient safety activities', and the sub-themes for this were 'Improving staff awareness of patient safety', 'Providing a training course for nurse professional of patient safety', and 'Expanding the manpower allocation standard of patient safety coordinators.' Conclusion: This study explored personal competencies such as document writing and computer utilization capabilities, focused on ways to improve the field of patient safety management, and emphasized the need for organizational and political support.

• 문화기술의 융합
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• 제10권2호
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• pp.257-266
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• 2024

본 연구는 항공사 객실승무원에게 요구되는 역량을 파악하기 위해 객실승무원들의 주관적 인식 유형과 유형별 특성을 Q-방법론을 활용하여 분석하였다. 33개의 Q-표본과 33명의 P-표본을 대상으로 하여 Ken-Q Analysis 프로그램으로 분석한 결과, '체력 및 외모적 자질 중시형', '직무수행능력 중시형', '의사소통능력 중시형', '직업정신 중시형' 등 4가지 유형을 확인하였다. 대부분의 유형에서 체력적인 요소, 비상상황 대처능력, 업무 책임감의 중요성에 대해 높은 동의를 나타내었다. 연구 결과의 유형별 특성을 기초자료로 항공사 교육훈련 및 항공서비스 전공 학과의 효과적인 교육과정 개발에 활용할 수 있을 것이며, 객실승무원을 희망하는 취업 준비생에게 직무 이해를 돕고 필요한 역량을 함양할 수 있는 참조자료가 될 수 있을 것이다.