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김영균,박상협,김정훈,이기백 대한CT영상기술학회 2025 대한CT영상기술학회지 Vol.27 No.1
The maintenance and management of computed tomography(CT) equipment, including X-ray tubes, are crucial factors that directly influence the operational costs and uptime of medical institutions. This study aims to investigate the maintenance status of CT equipment in domestic medical institutions and propose effective operational strategies to enhance the awareness of radiologic technologists. To achieve this, a two-round survey titled “Survey on CT Tube and Equipment Maintenance” was conducted using an online questionnaire via Google from May 21 to December 31, 2024. The survey targeted 1,058 radiologic technologists employed in hospitals and clinics nationwide. The survey results indicated that the majority of medical institutions regularly sign maintenance contracts with manufacturers to ensure the reliable management of their CT equipment. However, due to the ongoing rise in CT scan volumes and the varying clinical environments across hospitals, significant discrepancies were noted in the replacement cycles of X-ray tubes and maintenance costs. Furthermore, if frontline radiologic technologists actively engage in collecting and sharing data on equipment maintenance, it would significantly enhance the efficient tracking and management of CT equipment.
제한 대역 랜덤 입력을 가진 선형 시스템의 디지털 시뮬레이션
김영균 대한전자공학회 1982 전자공학회지 Vol.19 No.3
본 논문은 제한 대역 랜덤 입력 신호를 가진 선형 시스템의 해석을 위한 효과적이고 통계적으로 정확한 기법을 발견, 비교 연구하는 데 그 목적이 있다. 전 논문에서 보인 truncated expansion 정확도를 이용한 새로운 각환 기법이 만들어졌고, 평균 자병 에러 기준에 의거하여 기법들의 성능 비교 연구가 일차, 이차 선형 시스템 모델들에 대해 수행 되었다. 그 결과, 새로운 제고 대역 state 변환 기법이 다른 기법들(일차 state 변환 기법 또는 Z-변환 기법)보다 더욱 효과적이고 통계적인 의미에서 정확함이 판명되가다. The purpose of this paper is to find and compare efficient and "statistically accurate" algorithms for linear systems with bandlimited random inputs. Using the previously investigated truncated expansions[2], a new state-transition algorithm is derived. With statistical error criteria (mean-square error), comparative study on the Performances has been done for the first and second-order linear system models. The results show that a new bandlimited state-transition algorithm works better than any commonly used algorithms (e. g., first-order state-transition method or Z-transform method).