The far-field intensity is detected from far-field image to estimate the piston distance between two gratings. The image processing algorithm includes projections along the horizontal and vertical directions, sear...
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The far-field intensity is detected from far-field image to estimate the piston distance between two gratings. The image processing algorithm includes projections along the horizontal and vertical directions, search for each focal spot's centre, feature extraction and intensity computation. Each focal spot's centre can be found with the projections. A self-growing method is used for feature extraction, where the threshold value depends on the gray value of each focal spot's centre. For each focal spot, the sum of gray values within the relevant domain is taken to be its energy intensity. Furthermore, the energy ratio of left and main focal spots (or main and right focal spots) is computed. A formula that expresses the piston distance between two gratings as the function of the energy ratio is fitted with several measured points. Based on this formula, the piston distance is obtained for a new energy-ratio. Finally, the proposed method is verified with a series of experiments.
This paper deals with the problem of stochastically stability and L2-L∞ performance analysis for a class of interconnected Markovian jump ltering error system with constant time delays. By using mode-dependent decent...
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This paper deals with the problem of stochastically stability and L2-L∞ performance analysis for a class of interconnected Markovian jump ltering error system with constant time delays. By using mode-dependent decentralized lters and constructing mode-dependent centralized Lyapunov functional together with Jensen’s inequality, the stability conditions for the ltering error system are presented which also ensures the L2-L∞ performance. The obtained stability conditions are delay-dependent which may be less conserve than that delay independent one, especially when time-delay are very small. Furthermore, these conditions are expressed in terms of matrix inequalities (LMIs), which may provide the convenience for the design of the concerned lters through linear matrix inequality technique.
Evolutionary game theory on dynamical networks has received much attention. Most of the work has been focused on 2×2 games such as prisoner's dilemma and snowdrift, with general n×n games seldom addresse...
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Evolutionary game theory on dynamical networks has received much attention. Most of the work has been focused on 2×2 games such as prisoner's dilemma and snowdrift, with general n×n games seldom addressed. In particular, analytical methods are still lacking. Here we generalize the stochastic linking dynamics proposed by Wu, Zhou, Fu, Luo, Wang, and Traulsen [PLoS ONE 5, e11187 (2010)] to n×n games. We analytically obtain that the fast linking dynamics results in the replicator dynamics with a rescaled payoff matrix. In the rescaled matrix, intuitively, each entry is the product of the original entry and the average duration time of the corresponding link. This result is shown to be robust to a wide class of imitation processes. As applications, we show both analytically and numerically that the biodiversity, modeled as the stability of a zero-sum rock-paper-scissors game, cannot be altered by the fast linking dynamics. In addition, we show that the fast linking dynamics can stabilize tit-for-tat as an evolutionary stable strategy in the repeated prisoner's dilemma game provided the interaction between the identical strategies happens sufficiently often. Our method paves the way for an analytical study of the multiple-strategy coevolutionary dynamics.
As the number of vehicles in the monitoring system increases, the size of the table for storing their past data becomes very large, which brings performance troubles occurred in the systems with VLDB. To improve the d...
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Wetlands research and restoration has become one of the critical concern due to their importance in providing ecosystem services. This study proposes a holistic methodology to assess the wetland ecosystem based on cos...
Wetlands research and restoration has become one of the critical concern due to their importance in providing ecosystem services. This study proposes a holistic methodology to assess the wetland ecosystem based on cosmic exergy as a thermodynamic orientor. This new approach is applied to two typical wastewater treatment facilities (an activated sludge system and a cyclic activated sludge system) and to a constructed wetland ecosystem in Beijing for comparison. Results show that the Beijing wetland ecosystem gains positive net present ecological value of 3.08E+14 J c regarding its total life cycle. Comparison with the activated sludge system and cyclic activated sludge system, shows that the wetland ecosystem has greater dependencies on local resources (22% vs. 0% vs. 0%) and renewable resources (67% vs. 38% vs. 31%) as well as a larger ecological sustainability index (0.64157 vs. 0.00005 vs. 0.00008). This implies that the wetland ecosystem is more environmentally friendly and sustainable method for water treatment .
Knowledge manufacturing system has the ability of modifying dynamically manufacturing mode rapidly when production environment factors change. It is essential to evaluate the matching degree of established manufacturi...
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ISBN:
(纸本)9781424494408
Knowledge manufacturing system has the ability of modifying dynamically manufacturing mode rapidly when production environment factors change. It is essential to evaluate the matching degree of established manufacturing mode and changed production environment factors. In this paper, a matching decision model for self-adaptability of knowledge manufacturing system based on the fuzzy neural network is proposed. The changed production environment factors are regarded as linguistic variable inputs. A modified momentum factor B-P algorithm consisting of information feed-forward process and the error back-propagation process is used. The proposed FNN model is employed to evaluate the matching degree of a car-lamp production manufacturing mode to variable environment units. Matching result indicates adaptive degree of manufacturing system. Experiment result demonstrates the method is effective.
We study the effect of accumulative payoff on the evolution of cooperation in the evolutionary prisoner's dilemma on a square lattice. We introduce a decaying factor for the accumulative payoff, which characterizes t...
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We study the effect of accumulative payoff on the evolution of cooperation in the evolutionary prisoner's dilemma on a square lattice. We introduce a decaying factor for the accumulative payoff, which characterizes the extent that the historical payoff is accumulated. It is shown that for fixed values of the temptation to defect, the density of cooperators increases with the value of the decaying factor. This indicates that the more the historical payoff is involved, the more favourable cooperators become. In the critical region where the cooperator density converges to zero, cooperators vanish according to a power-law-like behaviour. The associated exponents agree approximately with the two-dimensional directed percolation and depend weakly on the value of the decaying factor.
Wireless sensor networks are characterized by multihop network. Some nodes in network are required to forward a disproportionately high amount of traffic and die early, leaving the unmonitored areas in network and...
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Wireless sensor networks are characterized by multihop network. Some nodes in network are required to forward a disproportionately high amount of traffic and die early, leaving the unmonitored areas in network and leading to the problem of energy hole. This paper investigates a variety of strategies to avoid the energy hole, such as communication power control, data aggregation, nonuniform energy distribution, mobile node auxiliary and clustering. The analysis and comparison of different strategies are given and the advantages and disadvantage of them are discussed in this paper.
This paper investigates the asymptotical stability for discrete-time Cohen-Grossberg neural networks with both timevarying and distributed delays. By constructing a novel Lyapunov-Krasovskii functional and introducing...
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This paper investigates the asymptotical stability for discrete-time Cohen-Grossberg neural networks with both timevarying and distributed delays. By constructing a novel Lyapunov-Krasovskii functional and introducing some free-weighting matrices, one delay-dependent sufficient condition is obtained by using convex combination. The criterion is presented in terms of LMIs and the feasibility can be easily checked with the help of LMI in Matlab Toolbox. In addition, the activation function can be described more generally, which generalizes those earlier methods. Finally, the effectiveness of obtained results can be further illustrated by one numerical example in comparison with the existent ones.
Wind power is considered as one of the most promising renewable energy sources in China. Presented in this study is a life cycle analysis of energy performance and greenhouse gas emission for a typical wind farm in Gu...
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Wind power is considered as one of the most promising renewable energy sources in China. Presented in this study is a life cycle analysis of energy performance and greenhouse gas emission for a typical wind farm in Guangxi, with different stages of manufacturing, transportation, and installation of mechanical components, operation and maintenance, and disassemble and disposal taken into account. Results show that the nonrenewable energy cost and greenhouse gas emission to generate 1 MJ of electricity for the grid are 0.046 MJ and 0.002 kg CO2 equivalent, respectively. In consideration of the dominant power generation technology of coal combustion in China, the nonrenewable energy saving brought about by the concerned wind farm is estimated at 1.22E+7GJ during its twenty year operating period, while the reduced greenhouse gas emissions are as much as 1.03E+06 ton CO2 equivalent. It is believed that this successful example can lend solid support to a future wide use of wind power in China.
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