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To address the challenge of climate change, reducing emissions due to electric power generation and consumption has received increasing attention worldwide. The previous research efforts have been focused on emission reduction on the generation side, but often ignored the positive impacts through active load management. This paper explores the models of load management to reduce emissions. Three kinds...
Transportation and land use planners and modelers often use zone systems to take advantage of readily available socio-economic data in their modelling exercises. The most important issue is that analysis zone size is usually large, and therefore, homogeneous or single-type land uses cannot be achieved in many cases. Subsequently, intra-zone travel and mixed activities distribution cannot be captured...
We propose a parsimonious topic model for text corpora. In related models such as Latent Dirichlet Allocation (LDA), all words are modeled topic-specifically, even though many words occur with similar frequencies across different topics. Our modeling determines salient words for each topic, which have topic-specific probabilities, with the rest explained by a universal shared model. Further, in LDA...
We have recently introduced new generative semi supervised mixtures with more fine-grained class label generation mechanisms than previous methods. Our models combine advantages of semi supervised mixtures, which achieve label extrapolation over a component, and nearest-neighbor (NN)/nearest-prototype (NP) classification, which achieves accurate classification in the vicinity of labeled samples. Our...
Multi-hop wireless networks have been an active research area for decades, however, the solutions proposed to solve routing misbehaviors are still not robust. In this paper, we use the evolutionary game theory (EGT) framework to address one issue of routing misbehavior, the problem of selfishness. We propose the use of distributed algorithms that are able to force selfish nodes to cooperate and forward...
A brain-computer interface (BCI) creates a direct communication pathway between the brain and an external device, and can thereby restore function in people with severe motor disabilities. A core component in a BCI system is the decoding algorithm that translates brain signals into action commands of an output device. Most of current decoding algorithms are based on linear models (e.g., derived using...
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