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In this paper, we propose an efficient approach to identify the opinion leader from group discussion. This approach is able to recognize the opinion leader without analyzing semantic and syntactic features, which may cost a lot more computing effort. We firstly propose algorithms to evaluate the degree of participation and the emotion expression from the speaking of each member during group discussion...
The size of data used by enterprises, academia and sciences in recently years has been growing at an exponential rate day by day. Simultaneously, the requirement to process and analyze the large quality of data is also increased. In the previous method, a single computer or a small number of computers cannot process and monitor these large amounts of data, but cloud system can handle the requirement...
This paper designs an elegant model in k-in-a-row games Connect6 as an example. In this model, domain knowledge is involved in the special pattern called Connection. A Connection covers several consecutive intersections of a line on the board, and is also the basic element of the data structure sketching the blueprint of the model. Based on Connection, we can show how to construct a complete database...
Much progress in the Vehicular Ad Hoc Network(VANET) domain are becoming increasing important in multiple application fields of car-to-car communication. Most research in VANET relies on simulations for evaluation. The mobility model plays an important role to model exact road traffic. However, most mobility models only concern about the mobility without drivers' reactions. The simulation results...
In order to investigate the validity of bypassing treatment for aortic dissection, two-dimensional idealized geometry models of DeBakey III aortic dissection and its bypassing treatment were constructed. Computational simulations of physiological blood flow in these models were performed with the software of ANSYS using finite element method. After bypassing treatment, the blood flow velocity and...
Least-square estimation (LSE) and multiple- parameter linear regression (MLR) are the important estimation techniques for engineering and science, especially in the communications and signal processing areas. The majority of computational complexity incurred in LSE and MLR arises from a Hermitian matrix inversion. In practice, the Yule-Walker equations are not valid and hence the Levinson-Durbin algorithm...
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