Abstract As for the limitation of using cross validation method to choose the parameters of least squares support vector machines (LSSVM), this paper proposes a new classified model which combines adaptive particle swarm optimization (APSO) algorithm with LSSVM. The new model uses APSO algorithm to select optimal parameters for LSSVM. According to the analysis of the management performance evaluation for engineering project, we conclude... As for the limitation of using cross validation method to choose the parameters of least squares support vector machines (LSSVM), this paper proposes a new classified model which combines adaptive particle swarm optimization (APSO) algorithm with LSSVM. The new model uses APSO algorithm to select optimal parameters for LSSVM. According to the analysis of the management performance evaluation for engineering project, we conclude that LSSVM-APSO has better evaluation performance than LSSVM which bases on cross validation method. On searching for the optimal parameters of LSSVM, APSO algorithm is obviously faster than that by cross validation method. Read More Read Less

Abstract Predicting influential users is one of the important research problems on social network analysis. It helps to understand many complicated phenomena including information dissemination. It can be employed in many real world applications such as viral marketing. Influential users can influence social network users using their attributes, strategic locations or expertises. In this paper, we tackle this problem by proposing a novel hybrid... Predicting influential users is one of the important research problems on social network analysis. It helps to understand many complicated phenomena including information dissemination. It can be employed in many real world applications such as viral marketing. Influential users can influence social network users using their attributes, strategic locations or expertises. In this paper, we tackle this problem by proposing a novel hybrid framework that is used to predict influential users on social network. In this framework, we integrate users’ attributes and their strategic location to measure influence. We apply several centrality analysis algorithms to find user’s strategic locations, while we adapt a real world attribute measure that is used by Flickr based on users’ attributes. We employ our framework to a large dataset crawled from real world social network, i.e., Digg. We evaluate the proposed framework in term of correlation. We further show that the proposed framework outperforms other measurements Read More Read Less

Abstract This paper investigates the concept of Mobile Femtocell with considering the feasibility of deploying Mobile Femtocells in public transportation vehicles such as trains, buses or private cars that form its own cell inside vehicles to serve vehicular and mobile User Equipments. This study is the launch of cell-edge mobile users who have always suffered degradation in the Quality of Service (QoS). Therefore, an... This paper investigates the concept of Mobile Femtocell with considering the feasibility of deploying Mobile Femtocells in public transportation vehicles such as trains, buses or private cars that form its own cell inside vehicles to serve vehicular and mobile User Equipments. This study is the launch of cell-edge mobile users who have always suffered degradation in the Quality of Service (QoS). Therefore, an investigation on the performance of LTE cell-edge mobile User Equipment e.g. users’ throughput, SINR, SNR, SIR, spectral efficiency and Handover performance, have been considered with deploying Fixed Femtocells and Mobile Femtocells in Long Term Evolution network. Two scenarios have been proposed in this study; Fixed Femtocells with mobile users and Mobile Femtocells with mobile users. More scenarios maybe considered in the case of Mobile Femtocell’s handover procedure. MATLAB simulation has been used for the purpose of simulating the designed scenarios and implementing the integrated mathematical equations. The simulated results have demonstrated the benefits of having Mobile Femtocells over the Fixed Femtocells in terms of mobile User Equipments’ performance. Read More Read Less