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An expanded Matrix Factorization model for real-time Web service QoS prediction
( Jinsheng Hao ),( Guoping Su ),( Xiaofeng Han ),( Wei Nie ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.11
Real-time prediction of Web service of quality (QoS) provides more convenience for web services in cloud environment, but real-time QoS prediction faces severe challenges, especially under the cold-start situation. Existing literatures of real-time QoS predicting ignore that the QoS of a user/service is related to the QoS of other users/services. For example, users/services belonging to the same group of category will have similar QoS values. All of the methods ignore the group relationship because of the complexity of the model. Based on this, we propose a real-time Matrix Factorization based Clustering model (MFC), which uses category information as a new regularization term of the loss function. Specifically, in order to meet the real-time characteristic of the real-time prediction model, and to minimize the complexity of the model, we first map the QoS values of a large number of users/services to a lower-dimensional space by the PCA method, and then use the K-means algorithm calculates user/service category information, and use the average result to obtain a stable final clustering result. Extensive experiments on real-word datasets demonstrate that MFC outperforms other state-of-the-art prediction algorithms.
Chi He,Zhengping Hao,Xinyan Zhang,Shaokai Gao,Jinsheng Chen 한국공업화학회 2012 Journal of Industrial and Engineering Chemistry Vol.18 No.5
Mesoporous silica supported catalysts with highly dispersed Pd particles located in their pore channels were synthesized via a novel and simple two-solvents approach. It is found that the support morphology has significant effect on active phase dispersion. Both the pore diameter and pore length of the silica hosts are critical for the catalytic performances of prepared catalysts. Catalyst with plateletlike morphology (Pd/S-P) shows the highest catalytic activity with 90% toluene conversion at 192 8C. The catalytic performances of the synthesized catalysts are closely correlated with Pd dispersion, CO2desorption capability, pore diameter and pore length of the host materials.