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An Agent-based Computational Economics Model based on Classical Economics, the ACE-CE model for short, is established through a combined approach of the theoretical method and computational method. This model has successfully conducted several applications in China, which has proven the feasibility of mixed methods for large-scale computation in economics. It also verifies the theoretical rationality...
Thanks to the advent of clock synchronization via the global positioning system (GPS), phasor measurement units (PMUs) collecting both the magnitude and phase angle with higher precision have implications for monitoring performance across the wide area of smart grids. Owing to high PMUs installation costs, developing optimal strategy of PMUs placement is important to monitor the transmission system...
This article proposed a stochastic volatility model with T-distribution leveraged (ASV-T model), the model can be used to reflect the leverage effect and the fat-tail effect exist in stock market. Through the statistics analysis of the model, it is proved that the model is workable and is best for the fitting of historical data. With empirical research on Chinese GEM index, it is further proved that...
In Opportunistic Mobile Networks (OppNets), data is opportunistically exchanged between nodes who encounter each other. In order to enable such data exchanges, nodes in the network have to probe their environment continually, so as to discover neighbor nodes. This can be an extremely energy-consuming process. If nodes probe very frequently, they will consume a lot of energy, and might be energy inefficient...
Delay tolerant networks (DTNs) are a kind of wireless mobile network which may lack continuous network connectivity. Multicast supports the distribution of data to a group of users, a service needed for many potential DTNs applications. While multicasting in the Internet and mobile ad hoc networks has been studied extensively, due to the unique characteristic of frequent partitioning in DTNs, multicasting...
Emerging electric-drive vehicles demonstrate the potential for significant reduction of petroleum consumption and greenhouse gas emissions. Existing electric-drive vehicles typically include a battery system consisting of thousands of Lithium-ion battery cells. Therefore, large-scale battery-system modeling and analysis is essential for battery system performance analysis, next-generation battery...
This paper addresses the problem of non-stationary signal noise suppression, represents the conception of wavelet transformation and puts forward two kinds of measurements to evaluate the effectiveness of noise suppression. Comparison experiments for noise suppression are made using Fourier analysis and Wavelet analysis. Simulation result shows that Wavelet analysis is more suitable for non-stationary...
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