Considering the fact that free calcium oxide content is an important parameter to evaluate the quality of cement clinker, it is very significant to predict the change of free calcium oxide content through adjusting th...Considering the fact that free calcium oxide content is an important parameter to evaluate the quality of cement clinker, it is very significant to predict the change of free calcium oxide content through adjusting the parameters of processing technique. In fact, the making process of cement clinker is very complex. Therefore, it is very difficult to describe this relationship using the conventional mathematical methods. Using several models, i e, linear regression model, nonlinear regression model, Back Propagation neural network model, and Radial Basis Function （RBF） neural network model, we investigated the possibility to predict the free calcium oxide content according to selected parameters of the production process. The results indicate that RBF neural network model can predict the free lime content with the highest precision （1.3%） among all the models.展开更多
As users’access to the network has evolved into the acquisition of mass contents instead of IP addresses,the IP network architecture based on end-to-end communication cannot meet users’needs.Therefore,the Informatio...As users’access to the network has evolved into the acquisition of mass contents instead of IP addresses,the IP network architecture based on end-to-end communication cannot meet users’needs.Therefore,the Information-Centric Networking(ICN)came into being.From a technical point of view,ICN is a promising future network architecture.Researching and customizing a reasonable pricing mechanism plays a positive role in promoting the deployment of ICN.The current research on ICN pricing mechanism is focused on paid content.Therefore,we study an ICN pricing model for free content,which uses game theory based on Nash equilibrium to analysis.In this work,advertisers are considered,and an advertiser model is established to describe the economic interaction between advertisers and ICN entities.This solution can formulate the best pricing strategy for all ICN entities and maximize the benefits of each entity.Our extensive analysis and numerical results show that the proposed pricing framework is significantly better than existing solutions when it comes to free content.展开更多
磁流变抛光是一种去除效率稳定、无亚表面损伤的超精密加工工艺,然而,在抛光过程中,磁流变液的水分损失会改变抛光工具的特性,从而影响去除函数的稳定性。现有的水分控制策略受到磁流变液循环系统大时延、时变扰动的影响,导致水分含量...磁流变抛光是一种去除效率稳定、无亚表面损伤的超精密加工工艺,然而,在抛光过程中,磁流变液的水分损失会改变抛光工具的特性,从而影响去除函数的稳定性。现有的水分控制策略受到磁流变液循环系统大时延、时变扰动的影响,导致水分含量存在周期性波动,使去除函数发生周期时变,进而影响加工质量与精度。本研究建立了磁流变液循环系统的传递函数模型,开展了系统特性分析,并据此设计了基于全格式动态线性化的无模型自适应控制算法,该算法能够实现非线性系统的参数自适应控制,有效抑制因时变扰动和时延引起的水分波动,为抛光过程中水分含量的稳定控制提供了一种简单有效、适用性强的控制策略。实验结果显示,采用FFDL-MFAC控制算法时,磁流变液水分波动的峰谷值(Peak-valley Value,PV)仅为0.06%,相较于使用PID减少了40%,误差绝对值的积分(Integral value of Absolute Er‐ror,IAE)减少了58.1%。有效提升了抛光过程中磁流变液水分含量的稳定性。展开更多
基金NSFC (No. 60808024)the Fundamental Research Funds for the Central Universities (Wuhan University of Technology)
文摘Considering the fact that free calcium oxide content is an important parameter to evaluate the quality of cement clinker, it is very significant to predict the change of free calcium oxide content through adjusting the parameters of processing technique. In fact, the making process of cement clinker is very complex. Therefore, it is very difficult to describe this relationship using the conventional mathematical methods. Using several models, i e, linear regression model, nonlinear regression model, Back Propagation neural network model, and Radial Basis Function （RBF） neural network model, we investigated the possibility to predict the free calcium oxide content according to selected parameters of the production process. The results indicate that RBF neural network model can predict the free lime content with the highest precision （1.3%） among all the models.
基金supported by the Key R&D Program of Anhui Province in 2020 under Grant No.202004a05020078China Environment for Network Innovations(CENI)under Grant No.2016-000052-73-01-000515.
文摘As users’access to the network has evolved into the acquisition of mass contents instead of IP addresses,the IP network architecture based on end-to-end communication cannot meet users’needs.Therefore,the Information-Centric Networking(ICN)came into being.From a technical point of view,ICN is a promising future network architecture.Researching and customizing a reasonable pricing mechanism plays a positive role in promoting the deployment of ICN.The current research on ICN pricing mechanism is focused on paid content.Therefore,we study an ICN pricing model for free content,which uses game theory based on Nash equilibrium to analysis.In this work,advertisers are considered,and an advertiser model is established to describe the economic interaction between advertisers and ICN entities.This solution can formulate the best pricing strategy for all ICN entities and maximize the benefits of each entity.Our extensive analysis and numerical results show that the proposed pricing framework is significantly better than existing solutions when it comes to free content.
文摘目的利用电子舌和气相色谱-质谱(gas chromatography-mass spectrometry,GC-MS)技术检测纯白莲蓉、纯红莲蓉、大师手工纯白莲蓉、低糖纯白莲蓉和绿色食品级纯白莲蓉馅料5种不同品种的莲蓉馅料的风味差异。方法采用电子舌对莲蓉馅料的甜味等主要风味指标进行评价,结合GC-MS技术分析脂肪酸成分,并通过偏最小二乘法回归分析(partial least squares regression,PLSR)建立电子舌和游离脂肪酸的评价模型,预测莲蓉馅料的风味。结果5种莲蓉馅料在甜味和咸味上存在显著差异(P<0.05),其中,绿色食品级纯白莲蓉馅料的甜味强度最高,手工纯白莲蓉馅料的咸味强度最高。利用GC-MS技术共检测出油酸和亚油酸等9种游离脂肪酸,在电子舌和脂肪酸联合评价的PLSR回归模型中,甜味、鲜味、丰富性和油脂味模型的决定系数R2在校正集上分别为:0.94、0.94、0.95、0.91,在交叉验证集上分别为:0.90、0.88、0.91、0.83,其均方根误差(root mean squared error,RMSE)在校正集上分别为:0.21、0.14、0.14、0.18,在交叉验证集上分别为0.28、0.21、0.20、0.25。与莲蓉馅料单独电子舌或游离脂肪酸风味评价相比,联合评价表现出更好的预测能力,特别在油脂味评价上,交叉验证集的决定系数大幅度提升,从电子舌评价的0.15、游离脂肪酸评价的0.67增加到0.83,决定系数更接近于1,均方根误差较小,显示出更高的拟合度。结论电子舌和脂肪酸联合评价为莲蓉馅料风味的仪器评价研究提供参考数据。
文摘磁流变抛光是一种去除效率稳定、无亚表面损伤的超精密加工工艺,然而,在抛光过程中,磁流变液的水分损失会改变抛光工具的特性,从而影响去除函数的稳定性。现有的水分控制策略受到磁流变液循环系统大时延、时变扰动的影响,导致水分含量存在周期性波动,使去除函数发生周期时变,进而影响加工质量与精度。本研究建立了磁流变液循环系统的传递函数模型,开展了系统特性分析,并据此设计了基于全格式动态线性化的无模型自适应控制算法,该算法能够实现非线性系统的参数自适应控制,有效抑制因时变扰动和时延引起的水分波动,为抛光过程中水分含量的稳定控制提供了一种简单有效、适用性强的控制策略。实验结果显示,采用FFDL-MFAC控制算法时,磁流变液水分波动的峰谷值(Peak-valley Value,PV)仅为0.06%,相较于使用PID减少了40%,误差绝对值的积分(Integral value of Absolute Er‐ror,IAE)减少了58.1%。有效提升了抛光过程中磁流变液水分含量的稳定性。
