Refinery scheduling attracts increasing concerns in both academic and industrial communities in recent years.However, due to the complexity of refinery processes, little has been reported for success use in real world...Refinery scheduling attracts increasing concerns in both academic and industrial communities in recent years.However, due to the complexity of refinery processes, little has been reported for success use in real world refineries. In academic studies, refinery scheduling is usually treated as an integrated, large-scale optimization problem,though such complex optimization problems are extremely difficult to solve. In this paper, we proposed a way to exploit the prior knowledge existing in refineries, and developed a decision making system to guide the scheduling process. For a real world fuel oil oriented refinery, ten adjusting process scales are predetermined. A C4.5 decision tree works based on the finished oil demand plan to classify the corresponding category(i.e. adjusting scale). Then,a specific sub-scheduling problem with respect to the determined adjusting scale is solved. The proposed strategy is demonstrated with a scheduling case originated from a real world refinery.展开更多
Translation Quality Assessment （TQA） is a central concern for both academic research and translation practice. Yet consensus on the issue has almost never been reached among theorists and practitioners. In this pape...Translation Quality Assessment （TQA） is a central concern for both academic research and translation practice. Yet consensus on the issue has almost never been reached among theorists and practitioners. In this paper, a detailed comparison between academic and professional assessment has been made mainly in terms of text type, assessment criteria and models. It is believed that a ＂one size fits all＂ model across academy and industry is neither possible nor necessary. However, the gaps in between could be narrowed down by increasing communication and cooperation between theorists and practitioners, who are advised to turn their focus to translator＇s competence and evaluation process.展开更多
基金Supported by the National Natural Science Foundation of China(21706282,21276137,61273039,61673236)Science Foundation of China University of Petroleum,Beijing(No.2462017YJRC028)the National High-tech 863 Program of China(2013AA 040702)
文摘Refinery scheduling attracts increasing concerns in both academic and industrial communities in recent years.However, due to the complexity of refinery processes, little has been reported for success use in real world refineries. In academic studies, refinery scheduling is usually treated as an integrated, large-scale optimization problem,though such complex optimization problems are extremely difficult to solve. In this paper, we proposed a way to exploit the prior knowledge existing in refineries, and developed a decision making system to guide the scheduling process. For a real world fuel oil oriented refinery, ten adjusting process scales are predetermined. A C4.5 decision tree works based on the finished oil demand plan to classify the corresponding category(i.e. adjusting scale). Then,a specific sub-scheduling problem with respect to the determined adjusting scale is solved. The proposed strategy is demonstrated with a scheduling case originated from a real world refinery.
文摘Translation Quality Assessment （TQA） is a central concern for both academic research and translation practice. Yet consensus on the issue has almost never been reached among theorists and practitioners. In this paper, a detailed comparison between academic and professional assessment has been made mainly in terms of text type, assessment criteria and models. It is believed that a ＂one size fits all＂ model across academy and industry is neither possible nor necessary. However, the gaps in between could be narrowed down by increasing communication and cooperation between theorists and practitioners, who are advised to turn their focus to translator＇s competence and evaluation process.
