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AI기반 생육조건 자동 설정 및 자동 성장률 측정을 하는 스마트 팜 시스템
류가연(Ga-Yeon Ryu),손민규(Min-Gyu Son),최영빈(Yeong-Bin Choi),권준서(Jun-seo Kwon),이민재(Min-Jae Lee),최경택(Kyoung-Taek Choi) 대한전자공학회 2024 대한전자공학회 학술대회 Vol.2024 No.6
In this study, we developed a smart farming system that automatically identifies plants and measures their growth rates using VISION AI and the chroma key method. The proposed system automatically adjusts cultivation environments based on recognized plant information and can assess the suitability of these environments using its growth rate data. The proposed system shows 76.1% and 69.8% accuracies for the identification of roses and sunflowers respectively with 159 rose images and 166 sunflower images. The average accuracy of the growth rate is 84% across 36 experimental cases.
김용수(Yong Soo Kim),방병기(Byung Kee Bang),양철우(Chul Woo Yang),박정희(Jung Hee Park),박주현(Joo Hyun Park),이광수(Kwang Soo Lee),최영빈(Young Bin Choi),한시령(Si Ryung Han),김영인(Yeong In Kim) 대한신장학회 2000 Kidney Research and Clinical Practice Vol.19 No.3
N/A Hemodialysis is a safe and effective treatment for uremic patients but hemodynamic changes during he-modialysis is suggested to be the possible cause of encephalopathy. However, few studies have evaluated the cerebral circulation of and the effects of hemo-dialysis. Therefore, this study was performed to evaluate the cerebral blood flow by transcranial doppler. The study populations were 12 male patients who ranged in age from 28 to 58 years(mean:57) and were receiving maintenance hernodialysis for 3.8 years(0.5-11.5 years). Mean blood flow velocity(MFV), pulsatility index(PI) and resistance index(RI) were measured in carotid artery(CA), middle cerebral artery(MCA), anterior cerebral artery(ACA) and pos-terior cerebral artery(PCA) before, during and after hemodialysis. Simultaneously, we also checked vari- ables(body weight, blood pressure, arterial blood gases, hematocrits, and other biochemical parame-ters) which might affect cerebral blood flow. MFV during(70.5±20.3 vs. 60.0±211cm/sec) and after(vs. 60.6±13.7cm/sec, p<0.01) hemodialysis in CA showed significant reduction as compared to the that of before hemodialysis, but other vessels(MCA, ACA and PCA) showed no significant changes. There were no significant changes in PI and RI before, during and after hemodialysis. Body weight, PaCO₂, blood urea nitrogen and hematocrit changed significantly during and after hemodialysis as compared to those of before hemodialysis, but correlation between changes of MFV and these variables was not observed. Hemodialysis and its associated physiologic changes are not associated with cerebral blood flow, and this result suggests the well-preservation of autoregulation of cerebral blood flow during and after hemodialysis.