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급성 뇌경색 환자의 담낭질환 위험에 대한 후향 코호트 연구
이석희,김성헌,장재원,이승환,김영주 대한신경과학회 2020 대한신경과학회지 Vol.38 No.1
Background: Gallbladder diseases after acute cerebral infarction are relatively rare, but could have a serious impact on mortality and morbidity of patients. The purpose of this study was to investigate the risk of gallbladder disease in patients with acute cerebral infarction. Methods: This study analyzed a population-based matched cohort constructed using National Health Insurance Service-Senior cohort dataset in South Korea. Subjects after acute cerebral infarction during 2002-2015 were identified as the exposed group, and up to four individual matched for age, sex, and index years were as the controls. The difference of the risk of gallbladder disease between the exposed and control group was evaluated using Cox regression adjusting for hypertension, diabetes, liver diseases, and the modified Charlson Comorbidity Index (mCCI). The risk of gallbladder disease of the exposed group was evaluated using Cox regression analyses to identify the risk factors. Results: The occurrence of the gallbladder disease was significantly associated with the acute cerebral infarction (p<0.0001). The presence of acute cerebral infarction was associated with a higher risk of gallbladder disease (adjusted hazard ratio=1.44, 95% confidence interval=1.26-1.66). The subjects with higher CCI showed higher risk of gallbladder disease. Among acute cerebral infarction patients, the oldest group, subjects having liver diseases, or subjects with the mCCI higher than two were found significant on the risk of gallbladder disease. Conclusions: Our study showed that the acute cerebral infarction has a significant association with gallbladder disease. These results suggested that the possibility of developing of gallbladder disease in patients with acute cerebral infarction should be considered.
스마트 공장의 디지털 트윈을 위한 XR기술에 관한 연구
이석희 한국실천공학교육학회 2024 실천공학교육논문지 Vol.16 No.1
스마트공장의 디지털 트윈에 대한 도입은 이미 CPS(Cyber Physics System)을 통하여 제조산업에 생산성을 높이고자 제안되었던 개념으로 특정한 산업 공정의 단계에 적용되거나 시뮬레이션이 필요한 단계에서 부분적으로 도입되고 있었다. 그러나 최근 4차산업혁명기술 발전을 통해서 XR(Extended Reality) 기술과 함께 다시 주목을 받고 있다. 하지만 실효성 있는 사례가 많지않기 때문에 본 연구에서는 제조공정을 장치와 장비 그리고 기술을 분석하여 디지털 쓰레드를 적용한 디지털 트윈을 구축하였고 신호와 정보의 동기화하며 이를 통해서 지능형 공정자동화 장비의 관제와 원격제어와 생산정보의 분석이 가능할 수 있는 플랫폼을 제안하고 이를 개발하였다. 이로써 기존에 제조업에서 활용되어지고 있는 자동화 설비공정 및 장비들에 대한 고장 발생시 원활한 대처의 어려움과 정확한 고장 발생지점에 대한 확인의 어려움, 그리고 생산설비장비의 고장시점 관리의 어려움, 불량에 대한 원인 및 문제 분석과 대처의 어려움을 해결하는데 도움을 줄 수 있는 제안 내용을 다루었다. 향후 본 연구를 통해서많은 사례들의 선행 연구에 도움이 되길 기대하고 향후에는 지능형 모델을 통해서 공정 및 생산의 부분별 생산성 증가에 대한확장 연구가 필요하다. The introduction of smart factory digital twins is a concept that has already been proposed to increase productivity in the manu facturing industry through CPS(Cyber Physics System), and has been applied to specific industrial process stages or partially intro duced in stages where simulation is required. However, with the recent development of the 4th Industrial Revolution technology, it is receiving attention again along with XR (Extended Reality) technology. However, because there are not many effective cases, this study analyzed the devices, equipment, and technology of the manufacturing process to build a digital twin applying digital threads and synchronized signals and information to control, remote control, and produce intelligent process automation equipment. A platform capable of analyzing information was proposed and developed. Through this, we designed and built an XR content ser vice platform that can support artificial intelligence and developed it to enable control, remote control, and analysis of production information. A possible platform was proposed and developed. We hope that this study will be helpful in conducting research on many cases, and in the future, expanded research on increasing productivity in each part of the process and production is needed through intelligent models.