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Our goal is to analyze the way information flows in the social network and to draw a conclusion for the relationship between the information spread and public opinion. First, by utilizing K-Means Algorithm with PCA (Principal Component Analysis), we build a comprehensive assessment system of information development. Second, based on the traditional SIR Model in epidemic field, we build a SIER dissemination...
We propose a new method for robust learning Laplacian matrices from observed smooth graph signals in the presence of both Gaussian noise and random-valued impulse noise (i.e., outliers). Using the recently developed factor analysis model for representing smooth graph signals in [1], we formulate our learning process as a constrained optimization problem, and adopt the £i-norm for measuring the data...
Tower of modern large wind turbine are made of flexible steel tubular structure. Its first nature frequency is normally lower than the blade pass frequency and even lower than the wind rotor rotating frequency, therefore the vibration feature of the tower is important for the running condition of the wind turbine set. This paper discusses the lower vibration feature of the tower of a large MW wind...
Aiming at improving the performance of real-time data transmission in multi-hop overlay networks, an adaptive flow control transmission algorithm is proposed. The approach considers the reality of low bandwidth and the requirement of high throughput in real-time media streaming so that it takes the forwarding capability of relay peers as the main evaluation metric. Probe data packets are introduced...
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