ID 原文 译文
57518 调用 FPGA 中赛灵思的特殊模数转换器( XADC) 模块测量芯片温度，进而转换为温度校准系数，修正测量值. The chip tempera- ture is determined according to the xilinx analog to digital converter module in the FPGA and the tempera- ture calibration coefficient could be obtained to correct the measurement value.
57519 常温( 27 ℃ ) 下的等效 bin 宽为 5.63 ps，方均根测量数值为 11.7 ps，电路可在 5 ～ 85 ℃ 温度范围内完成温度补偿. Parameter indexes of the TDCs included 5. 63 ps equivalent bin width and 11. 7 ps root mean square resolution under normal tem- perature. The compensation is finished in the circuit in the range from 5 ℃ to 85 ℃ .
57520 相比于六链延时线 TDC，双链三路 TDC 具有相近的指标参数，并使 FPGA 逻辑资源使用降低约 43.1% ，芯片功耗降低约 36.8% . Compared with the six-chain delay line TDC，the double-chain three-route TDC has the similar index，which reduces the uti- lization of logic resources of the FPGA by up to 43. 1% and cuts power consumption by up to 36. 8% re- spectively.
57521 低速拒绝服务攻击对于域间路由系统造成威胁，已有失效恢复算法未能有效解决恢复拓扑计算的时间复杂度高和节点聚合控制等问题，为此，提出一种基于度约束最小生成树的失效恢复算法. In view of the threat of low-rate denial of service attacks on inter-domain routing system，the existing failure recovery methods fail to solve problems including high time complexity and node aggrega- tion control. A failure-recovery algorithm based on degree-constrained minimum spanning tree named de- gree-constrained minimum spanning tree based failure recovery ( DＲ) is proposed.
57522 通过设计基础迁移子算法和复杂迁移子算法，在满足度约束的条件下根据遭袭路由系统生存拓扑构建新的恢复拓扑，并针对上述两类迁移子算法，分别提出关键点选择子算法，用于判定和计算迁移过程所需的关键节点. By designing the Fun- damental Transfer sub-algorithm and the complex transfer sub-algorithm，a new recovery topology can be constructed according to the survival topology of the attacked routing system under the condition of given degree constraint. For the above two types of transfer sub-algorithms，two selection sub-algorithms are re- spectively advanced for the determination and calculation of key nodes.
57523 理论分析和仿真实验结果证明，该算法生成的恢复拓扑在有效控制节点度的同时，具有较优的性能. Theoretical analysis and simula- tion experiments verify that the recovery topology generated by DＲ has better performance while effectively controlling the node degree.
57524 为了提高启发式定位算法的搜索效率和定位精度，提出了基于罚函数和水波优化的无线传感器网络( WSN)定位算法. In order to improve the search efficiency and localization accuracy of the heuristic localization algorithm，a localization algorithm base on penalty function and water wave optimization for wireless sen- sor network ( WSN) is proposed.
57525 首先利用 bounding-box 方法构造罚函数，提高算法搜索的效率和定位精度; Firstly，the proposed algorithm uses the bounding-box method to con- struct the penalty function，which improves the water wave optimization algorithm’s searching efficiency.
57526 然后利用动态学习策略对传统水波优化算法的传播阶段进行改进，促使个体对周围优秀个体的学习，并通过动态波高提高个体在后期局部搜索的概率，进一步提高搜索效率和求解精度. Then the dynamic learning strategy is used to improve the propagation stage of the traditional water wave optimization algorithm，which encourages the individual to learn from the surrounding excellent individu- als. And the dynamic wave height is introduced to enhance the individual＇s local search probability in late stage.
57527 仿真结果表明，罚函数策略与改进水波优化算法能提高搜索效率和定位精度，所提出的算法在 WSN 节点定位上有较好的可行性和有效性. Simulations show that the penalty function strategy and the improved water wave optimization algo- rithm can improve the search efficiency and positioning accuracy. The proposed algorithm has good feasi- bility and effectiveness in WSN node location.