The traffic with tidal phenomenon in Heterogeneous Wireless Networks(HWNs)has radically increased the complexity of radio resource management and its performance analysis.In this paper,a Simplified Dynamic Hierarchy R...The traffic with tidal phenomenon in Heterogeneous Wireless Networks(HWNs)has radically increased the complexity of radio resource management and its performance analysis.In this paper,a Simplified Dynamic Hierarchy Resource Management(SDHRM)algorithm exploiting the resources dynamically and intelligently is proposed with the consideration of tidal traffic.In network-level resource allocation,the proposed algorithm first adopts wavelet neural network to forecast the traffic of each sub-area and then allocates the resources to those sub-areas to maximise the network utility.In connection-level network selection,based on the above resource allocation and the pre-defined QoS requirement,three typical network selection policies are provided to assign traffic flow to the most appropriate network.Furthermore,based on multidimensional Markov model,we analyse the performance of SDHRM in HWNs with heavy tailed traffic.Numerical results show that our theoretical values coincide with the simulation results and the SDHRM can improve the resource utilization.展开更多
Cattle may improve their feeding efficiency by altering their ingestive behaviour in response to changes in the quality of their pastoral environments. To test this hypothesis, an experiment was conducted in a native ...Cattle may improve their feeding efficiency by altering their ingestive behaviour in response to changes in the quality of their pastoral environments. To test this hypothesis, an experiment was conducted in a native pasture that has been managed in continuous stocking at different daily forage allowances （4%, 8%, 12%, and 16% of live weight） for twenty two years thus creating different pastoral environments. For the current experiment, the animals were allocated to their respective experimental units on April 27, 2007. Two experiments were conducted; one was performed at the end of winter （experiment 1）, and the other was undertaken at the end of spring （experiment 2）. Four tester animals were observed per experimental unit （3-5 ha each）. The animals increased their daily grazing time when forage allowance decreased. Most of this increased time was devoted to harvesting, whereas searching was reduced to a few minutes per day. Under conditions of ideal range of forage allowance （between 12% and 14%）, the grazing time was reduced, and the search activity increased. These results suggest that the monitoring of indicators of ingestive behaviour can be used to determine the attributes of forage resources.展开更多
基金ACKNOWLEDGEMENT This work was supported by the National Na- tural Science Foundation of China under Gra- nts No. 61172079, 61231008, No. 61201141, No. 61301176 the National Basic Research Program of China （973 Program） under Grant No. 2009CB320404+2 种基金 the 111 Project under Gr- ant No. B08038 the National Science and Tec- hnology Major Project under Grant No. 2012- ZX03002009-003, No. 2012ZX03004002-003 and the Shaanxi Province Science and Techno- logy Research and Development Program un- der Grant No. 2011KJXX-40.
文摘The traffic with tidal phenomenon in Heterogeneous Wireless Networks(HWNs)has radically increased the complexity of radio resource management and its performance analysis.In this paper,a Simplified Dynamic Hierarchy Resource Management(SDHRM)algorithm exploiting the resources dynamically and intelligently is proposed with the consideration of tidal traffic.In network-level resource allocation,the proposed algorithm first adopts wavelet neural network to forecast the traffic of each sub-area and then allocates the resources to those sub-areas to maximise the network utility.In connection-level network selection,based on the above resource allocation and the pre-defined QoS requirement,three typical network selection policies are provided to assign traffic flow to the most appropriate network.Furthermore,based on multidimensional Markov model,we analyse the performance of SDHRM in HWNs with heavy tailed traffic.Numerical results show that our theoretical values coincide with the simulation results and the SDHRM can improve the resource utilization.
文摘Cattle may improve their feeding efficiency by altering their ingestive behaviour in response to changes in the quality of their pastoral environments. To test this hypothesis, an experiment was conducted in a native pasture that has been managed in continuous stocking at different daily forage allowances （4%, 8%, 12%, and 16% of live weight） for twenty two years thus creating different pastoral environments. For the current experiment, the animals were allocated to their respective experimental units on April 27, 2007. Two experiments were conducted; one was performed at the end of winter （experiment 1）, and the other was undertaken at the end of spring （experiment 2）. Four tester animals were observed per experimental unit （3-5 ha each）. The animals increased their daily grazing time when forage allowance decreased. Most of this increased time was devoted to harvesting, whereas searching was reduced to a few minutes per day. Under conditions of ideal range of forage allowance （between 12% and 14%）, the grazing time was reduced, and the search activity increased. These results suggest that the monitoring of indicators of ingestive behaviour can be used to determine the attributes of forage resources.
