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이윤지,류영주,한상범 대한안과학회 2020 Korean Journal of Ophthalmology Vol.34 No.5
Purpose: We sought to establish normative ranges of the ganglion cell-inner plexiform layer (GCIPL) thickness using spectral-domain optical coherence tomography in Korean elderly individuals and to identify factors that influence GCIPL thickness. Methods: We conducted a retrospective, observational study of 114 healthy subjects (75 years old or older) who underwentcomprehensive ophthalmic examinations at a single institution. GCIPL thickness was measured with the Cirrus spectral-domainoptical coherence tomography system and automatic segmentation. Subjects were divided into two age groups: thoseyounger than 80 years and those 80 years or older, respectively. A cross-sectional analysis was adopted to evaluate associationsof GCIPL thickness with sex, age, intraocular pressure, optic disc rim area, axial length, spherical equivalent (SE) refractiveerrors, astigmatism, and body mass index. Results: The average and minimum GCIPL thicknesses were 80.3 ± 5.6 μm and 76.3 ± 5.9 μm, respectively. The GCIPL thicknesswas significantly lower in the older group than in the younger group in the inferior, inferonasal, and inferotemporal segments(all p < 0.01). A thinner average GCIPL thickness was strongly associated with increasing age (β = -2.87, p = 0.021) andthinner circumpapillary retinal nerve fiber layer thickness (β = 2.87, p < 0.001) in all segments. Conclusions: GCIPL thickness decreased with age globally and in all segments, even after 75 years of age. Thinner GCIPL wasassociated with older age and thinner circumpapillary retinal nerve fiber layer. Age-related changes should be consideredwhen using GCIPL thickness to assess glaucoma and other optic neuropathies characterized by retinal ganglion cell loss.
반도체 장비상태 모니터링을 위한 SCADA 시스템 구현
이윤지,윤학재,박효은,홍상진,Lee, Youn Ji,Yun, Hak Jae,Park, Hyoeun,Hong, Sang Jeen 한국반도체디스플레이기술학회 2019 반도체디스플레이기술학회지 Vol.18 No.4
Automation control and the data for control of industrial equipment for the diagnosis and prediction is a key to success in the 4th industrial revolution. It increases process efficiency and productivity through data collection, realtime monitoring, and the data analysis. However, university and research environment are still suffering from logging the data in manual way, and we occasionally loss the equipment data logging due to the lack of automatic data logging system. State variable presents the current condition of the equipment operation which is closely related to process result, and it is valuable to monitor and analyze the data for the equipment health monitoring. In this paper, we demonstrate the collection of equipment state variable data via programmable logic controller (PLC) and the visualization of the collected data over the Web access supervisory control and data acquisition (SCADA). Test vehicle for the implementation of the suggested SCADA system is a relay switched physical vapor deposition system in the university environment.