In order to take precaution and cure against intemet of vehicles （IOV） worm propagation in expressway, the IOV worm propagation and its corresponding anti-worm strategy were studied in expressway interchange termina...In order to take precaution and cure against intemet of vehicles （IOV） worm propagation in expressway, the IOV worm propagation and its corresponding anti-worm strategy were studied in expressway interchange terminal. According to omnirange driving in expressway interchange terminal and vehicular mobile communication environment, an IOV worm propagation model is constructed; and then according to the dynamic propagation law and destructiveness of IOV worm in this environment, a novel hybrid anti-worm strategy for confrontation is designed. This worm propagation model can factually simulates the IOV worm propagation in this interchange terminal environment; and this hybrid anti-worm strategy can effectively control IOV worm propagation in the environment, moreover, it can reduce the influence on network resource overhead.展开更多
In Web 2.0 era,the content on a web page is increasingly generated by end users,rather than limited number of administrators.Hence,large number of User Generated Content(UGC) has driven the explosion of content in the...In Web 2.0 era,the content on a web page is increasingly generated by end users,rather than limited number of administrators.Hence,large number of User Generated Content(UGC) has driven the explosion of content in the web.Thanks to UGC,the pattern of web usage has evolved from download dominated way to a hybrid one with both information download and upload.Large number of UGC has unveiled great capacity of information that is unavailable for researchers before,such as individual preferences,social connections,and etc.In this paper,we propose a novel model which studies the UGC in micro-blogging web sites,the largest and fastest information diffusion media online,and evaluate the social influence for an arbitrary individual.Experimental results show that our model outperforms state-of-the-art techniques in social influence evaluation in both the running time and accuracy.展开更多
Objectives:This study is aimed to explore the blending process of Dahuang soda tablets.These are composed of two active pharmaceutical ingredients(APIs,emodin and emodin methyl ether)and four kinds of excipients(sodiu...Objectives:This study is aimed to explore the blending process of Dahuang soda tablets.These are composed of two active pharmaceutical ingredients(APIs,emodin and emodin methyl ether)and four kinds of excipients(sodium bicarbonate,starch,sucrose,and magnesium stearate).Also,the objective is to develop a more robust model to determine the blending end-point.Methods:Qualitative and quantitative methods based on near-infrared(NIR)spectroscopy were established to monitor the homogeneity of the powder during the blending process.A calibration set consisting of samples from 15 batches was used to develop two types of calibration models with the partial least squares regression(PLSR)method to explore the influence of density on the model robustness.The principal component analysis-moving block standard deviation(PCA-MBSD)method was used for the end-point determination of the blending with the process spectra.Results:The model with different densities showed better prediction performance and robustness than the model with fixed powder density.In addition,the blending end-points of APIs and excipients were inconsistent because of the differences in the physical properties and chemical contents among the materials of the design batches.For the complex systems of multi-components,using the PCA-MBSD method to determine the blending end-point of each component is difficult.In these conditions,a quantitative method is a more suitable alternative.Conclusions:Our results demonstrated that the effect of density plays an important role in improving the performance of the model,and a robust modeling method has been developed.展开更多
基金Project(61005008) supported by the National Natural Science Foundation of ChinaProject(JI300D004) supported by the COSTIND Application Foundation of China
文摘In order to take precaution and cure against intemet of vehicles （IOV） worm propagation in expressway, the IOV worm propagation and its corresponding anti-worm strategy were studied in expressway interchange terminal. According to omnirange driving in expressway interchange terminal and vehicular mobile communication environment, an IOV worm propagation model is constructed; and then according to the dynamic propagation law and destructiveness of IOV worm in this environment, a novel hybrid anti-worm strategy for confrontation is designed. This worm propagation model can factually simulates the IOV worm propagation in this interchange terminal environment; and this hybrid anti-worm strategy can effectively control IOV worm propagation in the environment, moreover, it can reduce the influence on network resource overhead.
基金ACKNOWLEDGEMENT This work was partially supported by the National Natural Science Foundation of China under Grants No. 61202179, No. 61173089 SRF for ROCS, SEM and the Fundamental Research Funds for the Central Universities.
文摘In Web 2.0 era,the content on a web page is increasingly generated by end users,rather than limited number of administrators.Hence,large number of User Generated Content(UGC) has driven the explosion of content in the web.Thanks to UGC,the pattern of web usage has evolved from download dominated way to a hybrid one with both information download and upload.Large number of UGC has unveiled great capacity of information that is unavailable for researchers before,such as individual preferences,social connections,and etc.In this paper,we propose a novel model which studies the UGC in micro-blogging web sites,the largest and fastest information diffusion media online,and evaluate the social influence for an arbitrary individual.Experimental results show that our model outperforms state-of-the-art techniques in social influence evaluation in both the running time and accuracy.
基金the National S&T Major Project of China(No.2018ZX09201011)。
文摘Objectives:This study is aimed to explore the blending process of Dahuang soda tablets.These are composed of two active pharmaceutical ingredients(APIs,emodin and emodin methyl ether)and four kinds of excipients(sodium bicarbonate,starch,sucrose,and magnesium stearate).Also,the objective is to develop a more robust model to determine the blending end-point.Methods:Qualitative and quantitative methods based on near-infrared(NIR)spectroscopy were established to monitor the homogeneity of the powder during the blending process.A calibration set consisting of samples from 15 batches was used to develop two types of calibration models with the partial least squares regression(PLSR)method to explore the influence of density on the model robustness.The principal component analysis-moving block standard deviation(PCA-MBSD)method was used for the end-point determination of the blending with the process spectra.Results:The model with different densities showed better prediction performance and robustness than the model with fixed powder density.In addition,the blending end-points of APIs and excipients were inconsistent because of the differences in the physical properties and chemical contents among the materials of the design batches.For the complex systems of multi-components,using the PCA-MBSD method to determine the blending end-point of each component is difficult.In these conditions,a quantitative method is a more suitable alternative.Conclusions:Our results demonstrated that the effect of density plays an important role in improving the performance of the model,and a robust modeling method has been developed.
