基于人工智能规划的服务组合算法得到的组合方案是一种层次化服务流程(layered service process,LSP),由服务之间的数据流(而非传统块结构流程中的控制结构)加以驱动执行。为使该类服务流程能在业务过程执行语言(business process execu...基于人工智能规划的服务组合算法得到的组合方案是一种层次化服务流程(layered service process,LSP),由服务之间的数据流(而非传统块结构流程中的控制结构)加以驱动执行。为使该类服务流程能在业务过程执行语言(business process execution language,BPEL)引擎上直接执行,研究了将LSP转换为BPEL的方法,追求BPEL执行效率的优化。给出了LSP的形式化模型,分析了将LSP转换为BPEL的3种策略(完全拆分、按层拆分、按块拆分),定性对比了三者之间的性能优劣。针对按块拆分策略,提出了9条规则用于对LSP的拆分,提出了块拆分算法和块合并算法。通过一个LSP案例对转换过程进行了演示,并通过实验证实了该转换方法可以获得比其他转换策略性能更好的BPEL。展开更多
In order to consider the influence of steel pole on the measurement of wind speed sensors and determinate the installation position of wind speed sensors, the flow field around wind speed sensors was investigated. Bas...In order to consider the influence of steel pole on the measurement of wind speed sensors and determinate the installation position of wind speed sensors, the flow field around wind speed sensors was investigated. Based on the three-dimensional steady Reynolds-averaged Navier-Stokes equations and k-ε double equations turbulent model, the field flow around the wind speed sensor and the steel pole along a high-speed railway was simulated on an unstructured grid. The grid-independent validation was conducted and the accuracy of the present numerical simulation method was validated by experiments and simulations carried out by previous researchers. Results show that the steel pole has a significant influence on the measurement results of wind speed sensors. As the distance between two wind speed sensors is varied from 0.3 to 1.0 m, the impact angles are less than ±20°, it is proposed that the distance between two wind speed sensors is 0.8 m at least, and the interval between wind speed sensors and the steel pole is more than 1.0 m with the sensors located on the upstream side.展开更多
文摘基于人工智能规划的服务组合算法得到的组合方案是一种层次化服务流程(layered service process,LSP),由服务之间的数据流(而非传统块结构流程中的控制结构)加以驱动执行。为使该类服务流程能在业务过程执行语言(business process execution language,BPEL)引擎上直接执行,研究了将LSP转换为BPEL的方法,追求BPEL执行效率的优化。给出了LSP的形式化模型,分析了将LSP转换为BPEL的3种策略(完全拆分、按层拆分、按块拆分),定性对比了三者之间的性能优劣。针对按块拆分策略,提出了9条规则用于对LSP的拆分,提出了块拆分算法和块合并算法。通过一个LSP案例对转换过程进行了演示,并通过实验证实了该转换方法可以获得比其他转换策略性能更好的BPEL。
基金Projects(U1334205,51205418)supported by the National Natural Science Foundation of ChinaProject(2014T002-A)supported by the Science and Technology Research Program of China Railway CorporationProject(132014)supported by the Fok Ying Tong Education Foundation of China
文摘In order to consider the influence of steel pole on the measurement of wind speed sensors and determinate the installation position of wind speed sensors, the flow field around wind speed sensors was investigated. Based on the three-dimensional steady Reynolds-averaged Navier-Stokes equations and k-ε double equations turbulent model, the field flow around the wind speed sensor and the steel pole along a high-speed railway was simulated on an unstructured grid. The grid-independent validation was conducted and the accuracy of the present numerical simulation method was validated by experiments and simulations carried out by previous researchers. Results show that the steel pole has a significant influence on the measurement results of wind speed sensors. As the distance between two wind speed sensors is varied from 0.3 to 1.0 m, the impact angles are less than ±20°, it is proposed that the distance between two wind speed sensors is 0.8 m at least, and the interval between wind speed sensors and the steel pole is more than 1.0 m with the sensors located on the upstream side.
