East Asian welfare states did not have worse health than most welfare states. Future studies should continue to incorporate East Asian countries in the typology of welfare regimes that include more social, economic, political and healthcare system characteristic variables to provide insight on the mechanism by which welfare-state regimes influence population health.
The network hub nodes consumed excessive energy and failed prematurely, thus it reduced the network lifetime. In order to solve the problem, distributed lifetime optimized routing algorithm (DLOR) for wireless sensor networks was proposed. Energy for transmitting data and neighbor node residual energy were considered comprehensively. Then new weight function was introduced and distributed asynchronous Bellman-Ford algorithm was also used to construct the shortest routing tree. Finally, data were gathered along the shortest routing tree to sink node. Simulation results show that DLOR algorithm can extend network lifetime and enable cost-effective energy consumption. Under certain conditions, DLOR algorithm outperforms PEDAP, GreedyDijkstra, LET, Ratio-w and Sum-w algorithms.
According to the equivalent circuit of single solar cell and the V-I equation of PV cell based on physical mechanism, a simulation model of single solar cell is established. According to this model and structure feature of PV array, the Thevenin circuit equivalent transform theory is used. The control relationship between single solar cell and PV array is given. Then a simple modeling method for arbitrary power level PV array is proposed. To verify the model effectiveness, a Pspice simulation model is established. Output characteristics of the model and its feasibility in PV power generation system are simulated. Simulation results show that the output characteristics of simulation model are in good consistency with actual PV array, and the model can be effectively applied in simulation of PV power generation system. The modeling method is simple and can be used for simulation on some control algorithms of PV power generation system
In the market, there was only specific software for network simulation or traffic simulation. They were expensive and could not support the routing simulation for vehicular network. In order to solve the problem, typical wireless ad hoc routings for vehicular network was researched in the free network simulation software NS2. The obstacle model and node mobile model were added. The nodes moved in random speed and direction on the road. Then the typical wireless ad hoc routings such as DSR (dynamic source routing), DSDV(destination sequenced distance vector) and AODV (ad hoc on-demand distance vector routing) were researched in the environment. The network packet loss rate and end to end delay time were compared and analyzed under the different situation whether obstacles block the radio. If obstacles did not block the radio and number of nodes was enough, DSDV had higher packet loss rate and the three routings had relatively low delay time. So DSR and AODV were more suitable for vehicular network. If the obstacles blocked the radio, the three routing routings had high packet loss rate. They needed to further advancement. This study provided a routing research idea for vehicular network and laid a foundation for further research.
Indirect adaptive fuzzy controller with a self-structuring algorithm is proposed in this paper to achieve tracking performance for a class of uncertain nonlinear single-input single-output (SISO) systems with external disturbances. Selecting membership functions and the fuzzy rules are difficult in fuzzy controller design. As a result, self-structuring algorithm is used in this paper, which simplifies the design of fuzzy controller. Lyapunov analysis is used to prove asymptotic stability of the proposed approach. Application of the proposed control scheme to a second-order inverted pendulum system demonstrates the effectiveness of the proposed approach.
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