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A constrained sensor control method is presented for multiobject tracking using labeled multi-Bernoulli filters. The proposed framework is based on a novel approximation of the Cauchy-Schwarz divergence between the labeled multi-Bernoulli prior and posterior densities, which does not need Monte Carlo sampling of random sets in the multiobject space. The void probability functional is also formulated...
The striking competitiveness of modern-day companies is more than ever a direct function of their ability to implement high yielding processes and continuous optimization. Such optimization, however, is becoming increasingly harder to realize, due to the growing complexities of processes, networks, manufacturing system structures as well as business processes. The limitation of optimization tools...
As cloud computing increasingly enters the commercial domain, the resource management issues are becoming a major concern. The dynamics and complexity of cloud environments pose some challenges in managing the resources to ensure the quality of service (QoS) continuously met under fluctuating workloads. In this paper, we focus on the advance resource reservation management issues for the cloud environments...
Value chain analysis is widely applied in enterprise production management, while how to conducted quantitative study on optimization of value chain has always been a difficult term. Based on enterprise value chain analysis, this paper studies the value chain optimum method, finds the minimum cost and the Maximum profit and arranges the quantity of resources invested reasonably by calculating the...
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