The systematical and scalable frameworks were provided for estimating the blocking probabilities under asynchronous traffic in optical burst switching(OBS) nodes with limited wavelength conversion capability(LWCC) . T...The systematical and scalable frameworks were provided for estimating the blocking probabilities under asynchronous traffic in optical burst switching(OBS) nodes with limited wavelength conversion capability(LWCC) . The relevant system architectures of limited range and limited number of wavelength converters(WCs) deployed by a share-per-fiber(SPF) mode were developed,and the novel theoretical analysis of node blocking probability was derived by combining the calculation of discouraged arrival rate in a birth-death process and two-dimensional Markov chain model of SPF. The simulation results on single node performance verify the accuracy and effectiveness of the analysis models. Under most scenarios,it is difficult to distinguish the plots generated by the analysis and simulation. As the conversion degree increases,the accuracy of the analysis model worsens slightly. However,the utmost error on burst loss probability is far less than one order of magnitude and hence,still allows for an accurate estimate. Some results are of actual significance to the construction of next-generation commercial OBS backbones.展开更多
In compound fertilizer production,several quality variables need to be monitored and controlled simul- taneously.It is very difficult to measure these variables on-line by existing instruments and sensors.So,soft-sens...In compound fertilizer production,several quality variables need to be monitored and controlled simul- taneously.It is very difficult to measure these variables on-line by existing instruments and sensors.So,soft-sensor technique becomes an indispensable method to implement real-time quality control.In this article,a new model of multi-inputs multi-outputs(MIMO)soft-sensor,which is constructed based on hybrid modeling technique,is pro- posed for these interactional variables.Data-driven modeling method and simplified first principle modeling method are combined in this model.Data-driven modeling method based on limited memory partial least squares (LM-PLS)algorithm is used to build soft-senor models for some secondary variables;then,the simplified first prin- ciple model is used to compute three primary variables on line.The proposed model has been used in practical process;the results indicate that the proposed model is precise and efficient,and it is possible to realize on line quality control for compound fertilizer process.展开更多
基金Project(60632010) supported by the National Natural Science Foundation of China
文摘The systematical and scalable frameworks were provided for estimating the blocking probabilities under asynchronous traffic in optical burst switching(OBS) nodes with limited wavelength conversion capability(LWCC) . The relevant system architectures of limited range and limited number of wavelength converters(WCs) deployed by a share-per-fiber(SPF) mode were developed,and the novel theoretical analysis of node blocking probability was derived by combining the calculation of discouraged arrival rate in a birth-death process and two-dimensional Markov chain model of SPF. The simulation results on single node performance verify the accuracy and effectiveness of the analysis models. Under most scenarios,it is difficult to distinguish the plots generated by the analysis and simulation. As the conversion degree increases,the accuracy of the analysis model worsens slightly. However,the utmost error on burst loss probability is far less than one order of magnitude and hence,still allows for an accurate estimate. Some results are of actual significance to the construction of next-generation commercial OBS backbones.
基金Supported by the National Natural Science Foundation of China （No.60421002） and the New Century 151 Talent Project of Zhejiang Province.
文摘In compound fertilizer production,several quality variables need to be monitored and controlled simul- taneously.It is very difficult to measure these variables on-line by existing instruments and sensors.So,soft-sensor technique becomes an indispensable method to implement real-time quality control.In this article,a new model of multi-inputs multi-outputs(MIMO)soft-sensor,which is constructed based on hybrid modeling technique,is pro- posed for these interactional variables.Data-driven modeling method and simplified first principle modeling method are combined in this model.Data-driven modeling method based on limited memory partial least squares (LM-PLS)algorithm is used to build soft-senor models for some secondary variables;then,the simplified first prin- ciple model is used to compute three primary variables on line.The proposed model has been used in practical process;the results indicate that the proposed model is precise and efficient,and it is possible to realize on line quality control for compound fertilizer process.
