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Information sharing is critical to multi-agent team for cooperative decision making in dynamic and partially observable environments. Other than building a full information coverage, if agents in a team can be self-directed to valuate a potential receiver and where to communicate, the coordination efficiency will be greatly enhanced. Although intensive studies of information valuation approaches have...
Visual saliency detection is usually a prerequisite for image processing tasks like object segmentation, object recognition and information compression. In this work, we first present a novel method that combines cognitive-based objectness and image-based saliency to obtain a better saliency map with less negligible background information. Then, by introducing some top-down attention priors, we further...
Scalability and reliability are among the main concerns in large-scale Software Defined Networking (SDN) application scenarios. A common approach is to use multiple distributed controllers, each managing one static partition of the network. In this paper, we show that dynamic mapping can improve efficiency in managing traffic load variations. We then propose BalCon (Balanced Controller): an algorithmic...
Because of benefit from the strategy of open source and the strong ability of innovation, Android has become one of the most popular operating systems on mobile platform. While the explosive increase of mobile applications has leaded to several shortages in Android system, such as the limitations in hardware resources, complex and frequent updating of the applications. In this paper, we propose a...
As environmental models have become more complicated, we need new tools to analyze and validate these models and to facilitate collaboration among field scientists, observation dataset providers, environmental system modelers, and computer scientists. Modular design and function test of environmental models have gained attention recently within the Biological and Environmental Research Program of...
In this paper, we consider a cognitive radio wireless sensor network (CR-WSN), where each sensor node is equipped with cognitive radio. A typical concern in CR-WSN is energy consumption due to resource-constrained nature of sensor nodes. Moreover, additional energy is consumed in a CR-WSN to support CR-exclusive functionality such as spectrum sensing and switching, which could shorten sensor node...
Some surveillance videos have the drawbacks of low light, low resolution and low contrast and it is difficult to obtain the better detect results using the traditional target detection algorithm. Aiming at this problem, an algorithm of multiply connected domain mergence based on the features of spatial distribution has been presented. The Vibe background modeling algorithm is utilized to achieve the...
In this paper, we investigate the challenges of applying statistical static timing analysis in hierarchical design flow, where modules supplied by IP vendors are used to hide design details for IP protection and to reduce the complexity of design and verification. For the three basic circuit types, combinational, flip-flop-based, and latch-controlled, we propose methods for extracting timing models...
Smart home service system is a new service application in the service computing and cloud computing environment. This paper discusses the issues of business process analysis, modeling and design for smart home service system. A new smart home idea is introduced, and the system architecture is proposed which is constructed on three networks: home IoT network, home service network and family social...
In this study, through researching and analyzing the technology of Topical Crawler, we improve the critical algorithm, and present the Topic-Relevance judgment algorithm based on Multi-Level Vector Space Model and the Topical Search Strategy based on the content evaluation, which combine with the simple link structure analysis and link tags data analysis. Through the analysis of the experimental data,...
Aspect-oriented programming is an emerging programming paradigm. Now the concept of aspect-orientation stretches over other development phases and other domains. Many researches have focused on aspect-oriented Web service composition domain. However, none of them offers a formal foundation for the aspect-oriented service composition. In this paper, we propose a Petri net-based algebra for aspect-oriented...
Task decomposition and state abstraction are crucial parts in reinforcement learning. It allows an agent to ignore aspects of its current states that are irrelevant to its current decision, and therefore speeds up dynamic programming and learning. This paper presents the SVI algorithm that uses a dynamic Bayesian network model to construct an influence graph that indicates relationships between state...
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