DW8051 is designed by synopsys, and its instruction cycle is 4 clock, which lead to about 3 times faster than Intel 8051 with the same oscillator frequency. I writed ram, rom, some other perpherals such as DES, RNG, and its testbench, and it worked
利用RNG k-ε湍流模型、VOF(Volume of Faction)多相流模型模拟了液固分选流化床(LSFBS)内外气液两相流场。待气液两相流场稳定后,耦合离散相模型(DPM)模拟了粗煤泥颗粒在LSFBS内部的分选过程。模拟结果能很好地吻合实验结果,其中与试验结果相比所有密度级在重产物中分配率的均方根误差为2.47,预测精煤产率相对误差为2.38%。在此基础上,分析了LSFBS速度场的分布特点;研究了上升水流速度和不同脉动周期、脉动波形的上升水流对分选效果的影响;得到了分选密度和可能偏差与上
提出了一种基于RNG图的启发式无线传感器网络拓扑控制算法HLRNG(Heuristic Local RelativeNeighbor Graph),采用RNG图和节点状态转化模型,建立从感应事件节点到sink节点间的局部多路径,以减少冗余路径并降低空闲节点的能耗。NS2仿真测试表明,HLRNG算法有效的延长了网络生命周期。
