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Public safety has been discussed for many years, but how to use and understand crime data is still difficult. Limitations of previous research were mainly restricted by technology. The significant technological advance since last century provided a tool for researchers to compute large amount of data and complicate models while shrinking process time too. This research tried to combine results from...
This paper proposes a state space model to describe multivariate autocorrelated zero-inflated count series. The model extends the classical zero-inflated Poisson distribution into multivariate cases but is able to impose different zero inflations on different dimensions. Combing the zero inflation with the log-normal mixture of independent Poisson distribution, this model allows for flexible cross-correlations...
A regional autonomy control (RAC) strategy is proposed in this paper in order to solve the integration problem of massive electric vehicle (EV) clusters into future city power grids from a high vision of active distribution network (ADN), minimize the negative impacts on the existing grid, and improve the load profile. The strategy mainly consists of two parts: the power allocation algorithm that...
In this paper, a causal optimal controller based on Nonlinear Model Predictive Control (NMPC) is developed for a power-split Hybrid Electric Vehicle (HEV). The global fuel minimization problem is converted to a finite horizon optimal control problem with an approximated cost-to-go, using the relationship between the Hamilton-Jacobi-Bellman (HJB) equation and the Pontryagin's minimum principle. A nonlinear...
In the increasingly fierce market competition, companies should focus on constantly nurturing and enhancing the capabilities of customer value creation. The paper uses the system theory to study the capability system of customer value creation. In order to further reveal the composition, nature and evolution of customer value creation capability, the paper build the production function model of customer...
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