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A multiple order model migration (MOMM) algorithm and optimal model selection strategy are proposed here for rapid model development and online glucose prediction. First, the optimal model order is determined for each input and a multiple order prediction model is used. Then a MOMM algorithm is developed based on particle swarm optimization to simultaneously revise multiple parameters. The multiple...
Blind source extraction (BSE) is often posed as the maximization of a statistical criterion under a unitary constraint. This paper addresses the convergence problem of a kurtosis-based criterion in the presence of noise. We present the stationary points of such criterion, and show that these extrema are simplified as the minimum mean square error (MMSE) solutions with some approximations. Moreover,...
In today's volatile business environment, many companies are expanding, merging, contracting, or otherwise redesigning their supply chain networks. Supply chain network rationalization could significantly help to improve supply chain operational efficiency and reduce costs. As a generic technique for the analysis of complex and dynamic systems, simulation could play an important role in this field...
Nowadays lots of organizations rely on enterprise systems to gain efficient and effective business operation. However, enterprise system implementation is a complex endeavor of business process transformation. In the journey, multifarious procedures are carried out while raising a lot of fatal problems. In this paper, based on process-centric methodology and cross-platform integration technology,...
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