http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
이상윤,박흥식 ( Lee Sang - Yoon,Park Heung - Sik ) 한국행정학회 1995 韓國行政學報 Vol.29 No.3
본 연구에서 저자들은 플렉스타임제와 관련하여 다음과 같은 질문들에 대한 분석을 시도하였다. 첫째, 공무원은 이 제도의 기대편익과 비용을 현재 각각 어떻게 인지하고 있는가? 둘째, 어떤 곳을 적용곤란 영역으로 보고 있는가? 그리고 세째는 누가 반대하는가, 이들의 속인적 특성과 그 이유는 각각 무엇인가 등이 그것이다. 분석 결과, 플렉스타임제의 도입에 대한 찬성자와 반대자들은 기대편익과 비용의 인지를 놓고 적지 않은 태도차이를 보이고 있는 것으로 나타났다. 특히 이러한 현상은 기대효과의 부정적 인지에 대해 두드러졌고, 긍정적 측면의 경우는 자기능력의 개발, 대민서비스의 향상, 근무효율의 증가 등의 항목에서 그 차이가 뚜렷했다. 또 공무원들은 대민규제 및 봉사부서를 이 제도의 적용이 가장 곤란한 영역으로 생각하고 있었다. 그리고 반대자들에 대한 분석결과, 주로 재직기간이 길거나 나이가 많은 사람일 수록 이 제도에 대하여 부정적 태도를 갖고 있음을 관찰 할 수 있었다. 이들의 반대는 주로 내부관리상의 우려와 민원인의 불편 등의 때문인 것으로 드러났다.
환경별 통합에 따른 딥러닝 기반 흥인지문 지붕부 기울음 예측 실험 및 분석
이상윤,강석주 국가유산방재학회 2023 문화재방재학회 논문집 Vol.8 No.3
Detecting the displacement of cultural heritage is essential for protecting and managing their prosperity. However, because the degree of displacement that humans can detect with the naked eye is limited and requires a lot of time and manpower, various studies are being conducted to detect the displacement and damage of cultural heritages using Deep Learning technology. In previous studies, 10 pre-trained Deep Learning neural network models through transfer learning techniques and Convolutional Neural Network (CNN) which are known for excellent for image processing were used to detect inclination in the roof of Heunginjimun. After learning to classify the images of Heunginjimun into two categories, normal and abnormal, we measured the prediction accuracy of the models generated in nine environments, classified according to season and weather. After analysis, it was raised to over 95% through hyper-parameter adjustment. In this study, among the 10 pre-trained Deep Learning Neural Network models used in previous studies, the Neural Network model with the highest accuracy was selected as the optimal model through performance verification, and then it was used to integrate 9 single environments into multiple ones. As a result, by adjusting the hyper-parameter of models below 95% in prediction accuracy, we were able to raise it above the previous percentage. Consequently, we selected the Efficientnet_v2_s model, which had the highest accuracy, to conduct an environment integration experiment. As a result, after running the learning and verifying performance in an environment that integrated all nine single environments, the roof inclination was successfully detected in all environments with an accuracy of 99.84%.
이상윤,이용권,Lee, Sangyoon,Lee, Yougkwon 디지털산업정보학회 2017 디지털산업정보학회논문지 Vol.13 No.2
How to manage manhole is to estimate the part without observation and maintain the sewer. To get the information about current flow rate, visiting and measuring specific manhole is positively necessary. Also, there are some problems that accurate measurement of flow rate is difficult and obtaining the information about real-time whole flow rate is impossible. This thesis will easily grasp the accurate location and type of manhole to solve the problems, and provide the manhole system conveying information through direct radio communication with a manhole cover to renewal information of manhole properly. Besides, it intends to save the information about management of waterworks, maintenance of facilities, data for flow rate, and structure of manhole. Using these, it is supposed to offer how to handle manhole. Thus, this thesis delivers the information to manhole and into central servers directly without wire and provides the system and management method for effective maintenance of manhole.