• 한국환경생태학회지
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• 제36권1호
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• pp.56-71
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• 2022

본 연구는 상주 곶감농업지역 감재배지의 육상곤충상을 파악하여 향후 상주 곶감농업지역 감재배지의 관리를 위한 기초자료로 수행되었다. 전체 출현한 육상곤충 종수는 7목 77과 177종 1,925개체이며 지역별 출현 종수는 내서면 서만2리 곶감마을 감재배지 > 내서면 서만1리 곶감마을 감재배지 > 외남면 소은리 곶감마을 감재배지 순으로 확인되었다. 경작지 특성상 노린재목, 딱정벌레목이 대상지 전역에 우세하였다. 특이종은 한국고유종 13종, 국가적색목록 취약종 2종·관심대상종 22종·미평가 42종, 생태계교란야생생물 2종으로 확인되었다. 군집 분석 결과 우점종은 큰검정뛰어장님노린재, 아우점종은 유채좁쌀바구미로 확인되었다. 종다양도는 1.1636-1.6022, 균등도는 0.6748-0.7611, 우점도는 0.2389-0.3252의 범위로 나타났다.

• International Journal of Computer Science & Network Security
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• 제22권9호
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• pp.7-14
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• 2022

COVID-19 has caused a global disturbance, increased anxiety, and panic, eliciting diverse reactions. While its cure has not been discovered, new infection cases and fatalities are being recorded daily. The focus of the present study was to analyze the reaction of gifted undergraduate students on social media during the quarantine period of the COVID-19. A special group of gifted students, who joined the program of attracting and nurturing talents at the University of Jeddah, University students as were the target sample of this study. To analyze online reactions during the pandemic; the choice of university students was arrived at as they are perceived to be gifted academically. Hence, the analysis of the impacts on their behavior on social media use is imperative. This study presented accurate and consistent data on the effects of social media using Twitter platforms on gifted students during the quarantine occasioned by the COVID-19 pandemic. The behavior of learners due to during the use of social media was extensively explored and results analyzed. The study was carried out between April and May 2020 (quarantine period in Saudi Arabia) to establish whether the online behavior of gifted students reflects positive or negative feelings. The methods used in conducting this study the research were online interviews and scraping participants' Twitter accounts (where most of the online activities and studies take place). The study employed the Activity theory to analyze the behavior of gifted students on social media. The sample size used was 60 students, and the analysis of their behavior was based on Activity theory Overall, the results showed proactive, positive behavior for coping with a challenging situation, educating society, and entertaining. Finally, this study recommends investing in gifted students due to their valuable problem-solving skills that can help handle global pandemics efficiently.

• Geomechanics and Engineering
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• 제29권2호
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• pp.113-131
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• 2022

A rockburst is a common disaster in deep-tunnel excavation engineering, especially for high-geostress areas. An anomalously low friction effect is one of the most important inducements of rockbursts. To elucidate the correlation between an anomalously low friction effect and a rockburst, we establish a two-dimensional prediction model that considers the discontinuous structure of a rock mass. The degree of freedom of the rotation angle is introduced, thus the motion equations of the blocks under the influence of a transient disturbing force are acquired according to the interactions of the blocks. Based on the two-dimensional discontinuous block model of deep rock mass, a rockburst prediction model is established, and the initiation process of ultra-low friction rockburst is analyzed. In addition, the intensity of a rockburst, including the location, depth, area, and velocity of ejection fragments, can be determined quantitatively using the proposed prediction model. Then, through a specific example, the effects of geomechanical parameters such as the different principal stress ratios, the material properties, a dip of principal stress on the occurrence form and range of rockburst are analyzed. The results indicate that under dynamic disturbance, stress variation on the structural surface in a deep rock mass may directly give rise to a rockburst. The formation of rockburst is characterized by three stages: the appearance of cracks that result from the tension or compression failure of the deformation block, the transformation of strain energy of rock blocks to kinetic energy, and the ejection of some of the free blocks from the surrounding rock mass. Finally, the two-dimensional rockburst prediction model is applied to the construction drainage tunnel project of Jinping II hydropower station. Through the comparison with the field measured rockburst data and UDEC simulation results, it shows that the model in this paper is in good agreement with the actual working conditions, which verifies the accuracy of the model in this paper.

• 정보보호학회논문지
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• 제31권4호
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• pp.853-862
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• 2021

오늘날 국가 기반시설의 전자적 침해 행위에 의한 정보통신 인프라의 교란 및 마비가 위협 요소로 대두되고 있다. 이에 정부는 주요 기반시설의 정보시스템 및 제어시스템을 보호하기 위해 주요정보통신기반시설 취약점 분석·평가제도를 정기적으로 시행하고 있으며 이를 효율적으로 운영하기 위해 매년 늘어난 인적·물적 자원을 투자하고 있다. 그러나 이러한 정부의 노력에도 불구하고 국가 기반시설을 대상으로 한 침해사고가 지속해서 발생함에 따라 정보보호 기반마련을 위한 정부의 자원 투입이 정보보호 활동 결과 산출에 미치는 영향도가 떨어져 평가체계가 효율적이지 못하다는 의문이 제기되고 있다. 따라서 본 연구에서는 주요정보통신기반시설 취약점 분석·평가 제도의 효율적 운용여부를 DEA 모형을 이용해 검토하고, 분석된 결과를 바탕으로 정보보호 수준 제고를 위한 개선방안을 제안하도록 한다.

• 대한의용생체공학회:의공학회지
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• 제43권6호
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• pp.375-381
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• 2022

Brain-computer interface (BCI) is a technology that allows users with motor disturbance to control machines by brainwaves without a physical controller. Motor imagery (MI)-BCI is one of the popular BCI techniques, but it needs a long calibration time for users to perform a mental task that causes high fatigue to the users. MI is reported as showing a similar neural mechanism as motor execution (ME) and motor observation (MO). However, integrative investigations of these three tasks are rarely conducted. In this study, we propose a new paradigm that incorporates three tasks (MI, ME, and MO) and conducted a comparative analysis. For this study, we collected Electroencephalograms (EEG) of motor imagery/execution/observation from 28 healthy subjects and investigated alpha event-related (de)synchronization (ERD/ERS) and classification accuracy (left vs. right motor tasks). As result, we observed ERD and ERS in MI, MO and ME although the timing is different across tasks. In addition, the MI showed strong ERD on the contralateral hemisphere, while the MO showed strong ERD on the ipsilateral side. In the classification analysis using a Riemannian geometry-based classifier, we obtained classification accuracies as MO (66.34%), MI (60.06%) and ME (58.57%). We conclude that there are similarities and differences in fundamental neural mechanisms across the three motor tasks and that these results could be used to advance the current MI-BCI further by incorporating data from ME and MO.

• Journal of Platform Technology
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• 제11권3호
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• pp.76-82
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• 2023

제4차 산업혁명을 기점으로 핵심기술들이 산업에 적용되어 각종 스마트 환경을 구축하기 시작하였다. 제조업의 스마트팩토리는 맞춤형 생산을 위한 광범위한 데이터의 수집과 제어를 실행할 수 있는 IIoT를 핵심기술로 적용하여 고품질 제품을 생산하게 되었다. 그러나, IIoT를 통하여 개방형으로 전환된 스마트팩토리의 네트워크 환경은 다양한 보안 위험에 노출되었다. 보안 침해에 따라 IIoT는 네트워크 망의 교란, 위변조된 IIoT의 사용 및 유지로 인하여 생산 제품, 생산 공정의 품질저하를 나타내었으며, 기업의 비즈니스에 신뢰성에 문제를 발생시킬 수 있다. 이에 따라 본 연구에서는 스마트팩토리 초기 구축 시 IIoT의 안전한 연결 및 활용을 위하여 스마트팩토리에 연결된 IIoT에 대한 실질성 확인과 무해화 환경 구축을 실행할 수 있는 방법으로 IIoT 연결 상황을 확인할 수 있는 연구를 실행하였다.

• 한국물환경학회지
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• 제39권4호
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• pp.329-342
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• 2023

Turbid water and suspended sediment (SS) load are having negative consequences such as water quality degradation and ecological damage, thus necessitating the establishment of management guidelines to reduce their impact. The present work investigates the spatio-temporal distribution of fish species and the effects of turbid water from 2011-2016 in the upper reaches of Soyang-Dam. The family Cyprinidae is the largest population in the study area, among which Zacco platypus and Zacco koreanus are the dominant species. The diversity of species is relatively abundant in the upper watershed, while the seasonal effect on the population distribution remains unclear. Using two main common components of the empirical orthogonal function (EOF) analysis, the distribution characteristics of 27 species at five survey sites are revealed. Zacco koreanus is found to be predominant at the upstream A-Naerincheon, while Zacco platypus and Rhinogobius brunneus are found to be predominant at the upstream B-Bukcheon. Disturbance of an aquatic ecosystem has a relatively greater impact in the downstream, as-compared to the upper area-the high proportion of forest area is decreased whereas that of agricultural and urbanized areas is increased. The patterns of representative species are changed according to the mid- to long-term effects of turbid water and SS. Accordingly, the significant correlation between the SS load and fish distribution EOF analysis indicates that it should be considered as a potential alternative that can overcome the limitations of impact assessment on turbid water to the Fish Assessment Index (FAI). A comprehensive study examining the long-term effects of SS load to the fish ecosystems with a systematic statistical analysis of sufficiently accumulated data at the national level is needed as future research.

• 한국지반공학회논문집
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• 제24권3호
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• pp.35-51
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• 2008

본 논문에서는 액상화 해석에 관한 DSC 모델을 실험 및 해석적 관점에서 그 적용성을 평가하였다. 포화 사질토의 동적거동을 보다 정확히 예측하기 위해 DSC 모델을 유효응력 경로와 과잉간극수압 발현에 기초하여 수정하였다. 액상화에 대한 동적거동 및 DSC 모델에 대한 매개변수 산정을 위해 정적배수삼축시험과 반복 비배수삼축시험을 상대밀도와 구속응력에 따라 수행하였다. 유효응력 경로와 과잉간극수압의 항으로 액상화 상태를 분류하고 수정된 DSC 모델을 적용시켜 액상화 해석을 수행하였다. 제안된 방법을 토대로 DSC 모델과 제안된 DSC 모델에 대한 액상화 해석을 상대밀도와 구속응력에 따라 비교하였다. 비교 결과 수정 모델은 액상화 시작점 및 동적 거동을 보다 정밀하게 평가하였고, 입력변수의 수가 감소하고 산정방법이 간편해졌다.

• 문화기술의 융합
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• 제8권3호
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• pp.323-329
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• 2022

경제방첩의 중요성이 높아지고 있는 현재의 추세에 따라 우리나라도 국가정보원법을 개정하였으나 법문의 명확한 해석의 필요성이 제기되고 있고, 경제방첩활동의 실효성을 높이기 위한 방안을 마련해야 할 요구가 높아지고 있다. 본 논문은 이러한 문제인식 하에 경제방첩법령 개선을 위한 방안을 제시하고 있다. 첫째, 우리 법은 경제방첩의 범위와 관련하여 "해외연계 경제질서 교란"을 규정하고 있으나 그 의미가 명확하지 않은 바, 방첩업무규정의 법문과 개별법령 및 미국법을 참고하여 그 의미를 명확히 할 수 있다. 둘째, 경제방첩활동의 효율성을 높이기 위하여 방첩기관의 협조요청권을 강화하는 법개정 또는 자료획득을 위한 별도의 허가절차를 도입할 수 있다. 마지막으로, 경제방첩활동의 효과를 배가하기 위해 외국세력이 주도하는 활동에 대한 처벌을 강화하는 제도를 도입할 수 있다.

• 대한치과의료관리학회지
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• 제11권1호
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• pp.78-88
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• 2023

This study aimed to analyze the correlation between working from home and sleep disorders among domestic workers using data from the 5th Working Environment Survey in 2017. Out of the total 30,108 wage workers, 818 employees work from home and 4,090 work in an office. A random sample of 1:5 pairs, considering gender and occupational group, was selected from these employees as the study subjects. The analysis included personal characteristics, occupational characteristics, work-from-home arrangements, and sleep disorders. Age, education, employment status, years in the workforce, weekly working hours, work-life balance, self-perceived health, depression, and anxiety were all adjusted as potential confounding variables. Conditional logistic regression analysis was conducted to examine the relationship between working from home (independent variable) and sleep disorder (dependent variable). This analysis aimed to analyze the correlation between working from home and sleep disorder. The analysis revealed that working from home was associated with sleep onset latency disorder OR=3.23 (95% CI=2.67~3.91), sleep maintenance disorder OR=3.67 (95% CI=3.02~4.45), and non-restorative sleep OR=3.01 (95% CI=2.46~3.67), which showed a statistically significant relationship with all three types of sleep disorders. Factors influencing the correlation between working from home and sleep disorders included work-life balance, social isolation, and anxiety.