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With the increasing popularization of low-cost smart mobile devices, which have the capability of short-range wireless communication, opportunistic networks aimed to meet different requirements start to put into practice. However, because of the mobility of nodes, links in opportunistic networks is intermittent and dynamic, which results in the problems of long delay time and low success rate of delivery...
Lifecycle and effective dada management has become and still remains a difficult task in architecture, engineering, and construction domain. Recently, the emerging Building Information Modeling (BIM) gains more and more momentum in construction data presenting, processing, and sharing. With precise 3D digital geometry graphs, BIM has the potential to integrate diverse data from construction phases...
For scene classification, patch-level linear features do not always work as well as handcrafted features. In this paper, we present a new model to greatly improve the usefulness of linear features in classification by introducing co-variance patterns. We analyze their properties, discuss the fundamental importance, and present a generative model to properly utilize them. With this set of covariance...
Firstly, based on symbolic computation system Maple, Lyapunov stability theory and a backstepping design with one controller, a new systematic, automatic and concrete scheme is extended to study the generalized (lag, complete and anticipated) synchronization of disk dynamo model with a strict-feedback form. Secondly, two disk dynamo models with different initial values are chosen to illustrate the...
By the guidance of attention, human visual system is able to locate objects of interest in complex scene. We propose a new visual saliency detection model for both image and video. Inspired by biological vision, saliency is defined locally. Lossy compression is adopted, where the saliency of a location is measured by the Incremental Coding Length(ICL). The ICL is computed by presenting the center...
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