• 지역사회간호학회지
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• 제17권3호
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• pp.407-418
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• 2006

Purpose: The purpose was to examine the level of perceived stress, lifestyle, and health status indicators and identify the relationships among them in medical center employees. Method: This study utilized data from Cohen's Perceived Stress Scale, health survey developed by National Health Insurance Corporation, and laboratory tests (such as liver enzyme or lipid profile) on 873 medical center employees. The data were analyzed using the SPSS 12.0 program through descriptive statistics, $x^2-test$, independent t-test, ANOVA and ANCOVA. Results: Perceived stress was relatively high, but lifestyle and health status indicators were good. Age, gender, and job were significantly related to perceived stress, life style, and health status indicators: younger employees, men, nurses reported higher stress; older employees, men and medical technicians reported worse life style; older employees, men and doctors showed more abnormal health status indicators. There was a significant relationship between perceived stress and life style: the higher the level of stress was, the more drinking or the more smoking they had. However, there was no clear relationship between perceived stress and health status indicators. Conclusion: Although the subjects' lifestyle and health status indicators were relatively good, their perceived stress was seriously high. Therefore, programs for reducing stress are necessary for medical center employees.

• 한국압력기기공학회 논문집
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• 제12권2호
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• pp.25-33
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• 2016

The thermal stratification phenomenon in the nuclear power plant can cause abnormal deformation of the piping, contact with the support, damage to the support system. Repetition of the thermal stratification phenomenon or variation of the thermal boundary layer can cause thermal fatigue. Thermal stratification phenomenon in nuclear power plants is still an ongoing issue and active research has been carried out. In this paper, the current situation in Korean nuclear power plants is described, followed by the status of research and the future problems on the thermal stratification phenomenon in Korea.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 학술대회 논문집 전문대학교육위원
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• pp.62-67
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• 2004

In this paper, we present the new method for joint aspect inspecting system. We use the image processing and laser maker for light source. We can find the matrial joint status through processing the line pattern which is made by laser maker. To get the line pattern, in first, we had done the preprocss of threshold. If the shape of line had over two segments, then the joint status is abnormal. We show our system efficency by experiment on tire facility.

• 한국항공운항학회지
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• 제29권2호
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• pp.84-93
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• 2021

Airline schedule is the most basic data for flight operations and has significant importance to an airline's management. It is crucial to know the airline's current schedule status in order to effectively manage the company and to be prepared for abnormal situations. In this study, machine learning techniques were applied to actual schedule data to examine the possibility of whether the airline's fleet state could be artificially learned without prior information. Given that the schedule is in categorical form, One Hot Encoding was applied and t-SNE was used to reduce the dimension of the data and visualize them to gain insights into the airline's overall fleet status. Interesting results were discovered from the experiments where the initial findings are expected to contribute to the fields of airline schedule health monitoring, anomaly detection, and disruption management.

• 반도체디스플레이기술학회지
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• 제18권2호
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• pp.32-37
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• 2019

In this paper, we have designed a solar photovoltaic system to attach solar photovoltaic modules to each module and develop the best efficiency in each module. The efficiency of the designed solar panel optimizer was more than 99.27% and MPPT efficiency of 99.66%. In addition, the monitoring of power generation and abnormal operation phenomenon in each optimum period and tracking for failure location of specific photovoltaic module have improved the utilization rate of photovoltaic power generation. Wired and wireless communication methods has been proposed to monitor the power generation and operation status of the solar panel optimizer. For this purpose, the RS485 communication was used for wire communication and Zigbee communication was used for wireless communication to monitor the status of each module in real time. It is shown that communication redundancy can be achieved through the proposed method, and the possibility of commercialization is suggested.

• 대한방사성의약품학회지
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• 제6권2호
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• pp.116-130
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• 2020

The aging society is globally one of biggest issue because it is related with various degenerative brain disease such as dementia, Parkinson's disease, Alzheimer's disease, multiple sclerosis, and cerebrovascular disease. These diseases are characterized by misfolded-protein aggregation; another pathological trait is "neuroinflammation". In physiological state, the resting microglia cells are activated and it removes abnormal synapses and cell membrane debris to maintain the homeostasis. In pathological state, however, microglia undergo morphological change form 'resting' to 'activated amoeboid phenotype' and the microglia cells are accumulated by neuronal damage, the inflammatory reactions induced nerve metamorphosis with a variety of neurotoxic factors including cytokines, chemokines, and reactive oxygen species. Thus, the activated microglia cell with various receptors (TSPO, COX, CR, P2XR, etc.) was perceived as important biomarkers for imaging the inflammatory progression. In this review, we would like to introduce the current status of the development of radiotracers that can image activated microglia.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2022년도 추계학술대회
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• pp.210-212
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• 2022

제조업에서 생산 설비의 상태를 모니터링하기 위해 각종 센서를 부착하고 있으며, 이를 통해 획득된 데이터의 경우 시계열 데이터인 경우가 많다. 생산 설비의 이상 여부를 판단하기 위해서는시계열 데이터로부터 패턴을 추출하는 과정이 선행되어야 하며 다양한 방법이 연구되고 있다. 본 논문에서는 수집된 다변량 시계열 데이터로부터 패턴을 추출하기 위해 매트릭스 프로파일 알고리즘을 적용하였으며, 이를 통해 현재 CNC 머신으로부터 수집 중인 다중 센서 데이터의 패턴을 추출하였다.

• Reproductive and Developmental Biology
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• 제35권1호
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• pp.67-75
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• 2011

The faulty regulation of imprinting gene lead to the abnormal development of reconstructed embryo after nuclear transfer. However, the correlation between the imprinting status of donor cell and preimplantation stage of embryo development is not yet clear. In this study, to determine this correlation, we used the porcine spermatogonial stem cell (pSSC) and fetal fibroblast (pFF) as donor cells. As the results, the isolated cells with laminin matrix selection strongly expressed the GFR ${\alpha}$-1 and PLZF genes of SSCs specific markers. The pSSCs were maintained to 12 passages and positive for the pluripotent marker including OCT4, SSEA1 and NANOG. The methylation analysis of H19 DMR of pSSCs revealed that the zinc finger protein binding sites CTCF3 of H19 DMRs displayed an androgenic imprinting pattern (92.7%). Also, to investigate the reprogramming potential of pSSCs as donor cell, we compared the development rate and methylation status of H19 gene between the reconstructed embryos from pFF and pSSC. This result showed no significant differences of the development rate between the pFFs ($11.2{\pm}0.8%$) and SSCs ($13.3{\pm}1.1%$). However, interestingly, while the CTCF3 methylation status of pFF-NT blastocyst was decreased (36.3%), and the CTCF3 methylation status of pSSC-NT blastocyst was maintained. Therefore, this result suggested that the genomic imprinting status of pSSCs is more effective than that of normal somatic cells for the normal development because the maintenance of imprinting pattern is very important in early embryo stage.

• Investigative Magnetic Resonance Imaging
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• 제16권2호
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• pp.142-151
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• 2012

목적: 간질중첩증의 동맥 스핀 라벨링 자기공명영상 소견을 알아보고자 한다. 대상과 방법: 본 기관에 내원한 환자들을 대상으로 후향적으로 검색하여 중 간질중첩증으로 임상적으로 진단받았으면서 동맥 스핀 라벨링을 포함한 자기공명영상검사를 받은 환자들을 찾아 이미지를 분석 하였다. 결과: 총 여섯명의 간질중첩증 환자들이 검색되었으며 이 환자들은 모두 EEG에서 이상소견이 나타난 부위에 국소적 CBF증가 소견을 보였다. 특히 두 명의 환자에서는 DWI를 포함한 고식적 자기공명영상 시퀀스에서 모두 특이 소견 보이지 않았으나 동맥 스핀 라벨링 이미지에서만 국소적으로 증가된 CBF를 보였다. 결론: 간질중첩증 환자들의 진단에 있어서 동맥 스핀 라벨링은 기존 영상검사에 더하여 추가적인 역할을 할 수 있을 것으로 기대된다.

• 융합신호처리학회논문지
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• 제9권4호
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• pp.329-336
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• 2008

최근 발전소의 첨단기술을 적용한 설비들이 대형화되고, 발전기의 정지나 사고 등으로 막대한 유지보수 비용을 필요로 하고 있다. 따라서 이러한 기계설비들의 운전 상태를 감시하고 고장을 예측할 수 있는 새로운 진단장치의 개발이 요구된다고 본다. 본 연구는 이러한 점에 착안하여 기계들의 정상/비정상 운전 상태를 정상레벨/비정상레벨/주의레벨/위험레벨/고장 즉 5단계로 세분화하고 각 단계별 판별기준을 정하여 운전 중 발생하는 기기들의 신호를 취득 및 분석하여 기기들의 정지 없이 기기의 운전 상태를 실시간 판별할 수 있는 시스템을 개발한다. 이를 위하여, 영역분할 알고리즘에 기반하여 기기의 운전 상태를 주파수특성 행렬로 표시하는 방법을 고안하였다. 각 기기들의 운전 상태를 간략히 피크코드화하고, 이 피크코드를 바코드처럼 활용할 수 있도록 발전설비 기기에 부착함으로서 기기의 운전상태 관리를 시스템화 할 수 있도록 하였다. 5단계 중 주의레벨에서 기기들의 예방정비를 수행하여 발전소의 경제적이고 안정적인 운전효율을 높이는 것이 궁극적 목표이며, 현장 적용 시의 이동성을 고려하여 노트북 컴퓨터로 신호취득에서 판별까지 가능하도록 알고리즘을 개발하였다.