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Energy efficiency (EE) has become a critical metric for the next generation mobile networks. Scheduling plays a key role for offering not only spectral efficient but also energy efficient operation in mobile networks. In this paper, we address the problem of EE scheduling for the downlink of a two-tier Heterogeneous Network (HetNet) with orthogonal frequency division multiple access (OFDMA). Contrary...
We present a computational approach for predicting the popularity score of sneakers through the analysis of growing amount of online data. Sneakers are described in several aspects based on which a popularity prediction model is constructed. In particular, we utilize the multiple kernel learning technique with customized kernels to analyze multimodal data extracted from an online sneaker magazine...
Assessing and selecting relevant visual cues is crucial for rapid saliency estimation and visual search. Here, we derive a new optimal feature modulation strategy to maximize the relative salience of the target, in which the top-down weight on a feature map depends on its stimulation intensity ratio (SIR) between the target and the distractors. The stimulation intensity is determined by two factors,...
Finding optimal top-down feature gains plays a key role in modeling task-driven visual attention mechanisms. Some studies suggest that the ratio of the mean salience of the target to the distractors can be used to determine the weights for the feature maps during the searching process, but this works well only if the salience distribution in the feature map is uniform, which is seldom seen in natural...
In this paper, a novel estimation method on Volterra series high-order kernels to nonlinear dynamic system to arbitrary approximation is proposed. On the theoretical basis of kernel function, by the construction of linear space, the issue of solving the Volterra series order kernels is converted to solving the projection of the output of the observation vector in the a sub-space of Hilbert space,...
A multi-body system dynamics supported virtual maintenance assembly framework is proposed in immersive virtual reality environment. Key technologies around this framework, such as approximate convex decomposition of polyhedron, concurrent collision detect, scene graph construction, simulation model definition and handle and etc, are also introduced in detail. At last, corresponding simulation prototype...
Advanced manufacturing and network technologies have impacted on every aspect of product development significantly. Meanwhile, the increasing product complexity and globalization manufacturing bring manufacturing enterprise to adapt advance manufacturing mode and some digital technology for satisfying new requirement. In order to satisfy the production development requirements, a lot of precious manufacturing...
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