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A Study on Creation of Marine Safety Culture in Korea
조영일,최재선 한국해양수산개발원 2015 해양정책연구 Vol.30 No.1
After the accident of Sewol-ho, the interest in marine safety has been largely increased. This study aims to give insight into the establishment of marine safety culture in Korea, suggesting its definition, directions and strategies as well as relevant system refinement issues aimed at strengthening activities to promote marine safety culture through the Marine Safety Campaign Program (MSCP). The elements and definition of marine safety culture have been presented based on the concept of safety culture and by incorporating the recent trends in ocean-related areas as well as setting the directions for marine safety culture. Marine safety culture is the aggregation of all knowledge, principles and acts of marine safety activities–which draw much attention of the time–led by the industry, government, academia, and research institutes as well as by the general public. Also, the scope and definition of marine accidents has been expanded to marine safety accidents that include boating accidents, port accidents, coastal accidents, natural disasters, crew accidents, marine disaster, pirate accidents and maritime terrorism. In order to establish marine safety culture, this study has proposed designation of a marine safety day, development of a marine safety culture index (MSCI), selection of pilot project cities for marine safety, development of marine safety education programs, building of an marine safety experience center, opening of a marine safety broadcasting station and a development of marine safety culture contents.
조영일 수원대학교 자연과학연구소 1998 자연과학논문집 Vol.1 No.-
Value prediction attempts to eliminate true-data dependencies by dynamically predicting the outcome values of instructions and executing true-data dependent instructions based on that prediction. Any single predictor can't get high prediction accuracies for all instructions. For some instructions, last-value predictor gives good predictor accuracy. On the other hand, for other instructions, stride-based value predictor gives good predictor accuracy. This paper presents a hybrid value predictor which reduces the hardware cost, compared to stride-based value predictor, and improves the predictor accuracy, compared to last-value predictor.
슈퍼 스칼라 프로세서에서 중복을 피할 수 있는 하이브리드 Value 예상방법
조영일 수원대학교 자연과학연구소 1999 자연과학논문집 Vol.2 No.-
Value prediction is a technique that breaks true data dependences by predicting the outcome of an instruction and executes speculatively its data-dependent instructions based on the predicted outcome. Among various predictors, last value predictor and stride-based predictor have low hardware cost, but they have low prediction accuracy. On the other hand, two-level value predictor obtains high prediction accuracy, but it has high hardware cost. Also, hybrid value predictors can obtain high prediction accuracy using advantages of various value predictors, but they have a defect that same instruction uses multiple entries of various predictors. This paper presents an non-duplicated hybrid value predictor which can dynamically select the most adequate value predictor for a fetched instruction and avoid the duplication to be allocated multiple entries to same instruction. We use execution-driven simulation to study the prediction rate and the prediction accuracy of the proposed hybrid value predictor using SPECint95 benchmarks.