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Online social media networks play important roles for people to share opinions, communicate with others. One of important features behind these activities is trust. This paper investigates the trust model in Online social media networks. Considering the interaction between two users and the reputation in the social networks, this trust model gives a definition about the trust value between two users...
Content-based music similarity is becoming important because of the millions of songs with online distribution. However, current methods have to treat the same attention on unrelated information or different informative information. In this paper, a new method is proposed to compute the music similarity with relevant component analysis. Considering the different weights for different parts, this method...
Maintaining awareness is central to effective coordination and collaboration in complex human activities, but pervasive computing environment has not adequately addressed this requirement from a formal design perspective. Existing awareness solutions work only for relatively small-scale collaboration in traditional workplace, and they suffer from either inflexibility or lack of scalability if applied...
Dynamic clamp emerges as an important apparatus to study the intrinsic neuronal properties through close-loop interactions between models and biological neurons. Modelling large-scale neuronal networks in software will result in significant computational delay that becomes a bottleneck to apply dynamic clamp for more complicated systems. In this paper, we present a real-time dynamic clamping system...
Mobile applications are increasingly taking advantages of the diverse geospatial web services to meet the information needs of their users. However, matching available web services to user's information needs is not a trivial task, as there are many contextual factors that may influence the fitness of use. In addition, mobile activities can be highly dynamic and interleaving, which demand certain...
In the field of hydraulic turbine Computational Fluid Dynamics (CFD) is routinely used today in research and development as well as in design. The Navier-Stokes steady flow analysis has been applied to successfully predicted flow characteristics and energy losses in different hydraulic turbine components. It has been used to design and optimize hydraulic turbine components. With the increasing of...
The Navier-Stokes flow analysis has been applied to successfully predicted flow characteristics and energy losses in different hydraulic turbine components. It has been used to design and optimize hydraulic turbine components. In this paper, the three-dimensional viscous flow is simulated through the whole flow passage of the model Francis turbine. The whole flow passage includes spiral case, distributor,...
An improved particle swarm optimization (PSO) method for detecting feature points of large-scale point-based models is presented in this paper. By redefining the particle, fitness, initial and ending conditions, local optimum and global optimum, iterative equations of PSO, this method can search multi-regions for the feature points in an adaptive random and parallel manner. The fitness is defined...
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