电气设备的接地与安全

以一则漏电事件为例,分析了电气设备漏电的原因,提供了排查故障的思路,并提出了电气设备正确接地的注意事项。     

硝基联苯、氨基联苯及啶酰菌胺的高效液相色谱分析方法

建立了一种高效液相色谱定量方法,测定以4-氯-2'-硝基联苯制备4-氯-2'-氨基联苯合成啶酰菌胺路线各步反应中的有效成分含量.采用InertSustain ODS-C18不锈钢柱(250 mm×4.6 mm i.d.×5μm)和二极管阵列检测器,以乙腈和0.02％磷酸水为流动相,流速为1.0 mL/min,在220 nm波长下对中间体4-氯-2'-硝基联苯进行分离和定量分析;在254 nm波长下对中间体4-氯-2'-氨基联苯进行分离和定量分析;在254 nm波长下对啶酰菌胺进行分离和定量.分析结果表明,4-氯-2'-硝基联苯保留时间约24.3 min,线性相关系数为1.0000,标准偏差为0.04,变异系数为0.34％,平均回收率为100.04％;4-氯-2'-氨基联苯保留时间约18.0 min,线性相关系数为1.0000,标准偏差为0.05,变异系数为0.33％,平均回收率为99.94％;啶酰菌胺保留时间约11.9 min,线性相关系数为1.0000,标准偏差为0.21,变异系数为0.32％,平均回收率为100.09％.方法 操作简便,精密度与准确度较高,满足定量分析要求.     

非木本木质素磺酸镁对水泥净浆和砂浆性能的影响

用红外光谱法等测定了非木本木质素磺酸镁的结构特征参数,研究了其对水泥净浆和砂浆性能的影响,并与木本木质素磺酸钙进行了对比。非木本木质素磺酸镁结构中的甲基、酚羟基、芳香环比木质素磺酸钙少;特性黏度为 0. 61mL/g,仅是木质素磺酸钙的 61%;磺化度为 0 78mmol/g,比木质素磺酸钙低约 40%。木质素磺酸镁溶液的最低表面张力为 49 82mN/m,起泡性能与木质素磺酸钙相近。非木本木质素磺酸镁对水泥净浆和砂浆减水分散作用为木本木质素磺酸钙的 86 6% ~91 1%。但掺质量分数 0 5%的木质素磺酸镁的砂浆, 28d的抗压强度比掺木质素磺酸钙的高 70 5%。     

Characterizing and optimizing TPC-C workloads on large-scale systems using SSD arrays在大规模系统上优化 TPC-C 评测程序

Transaction processing performance council benchmark C (TPC-C) is the de facto standard for evaluating the performance of high-end computers running on-line transaction processing applications. Differing from other standard benchmarks, the transaction processing performance council only defines specifications for the TPC-C benchmark, but does not provide any standard implementation for end-users. Due to the complexity of the TPC-C workload, it is a challenging task to obtain optimal performance for TPC-C evaluation on a large-scale high-end computer. In this paper, we designed and implemented a large-scale TPC-C evaluation system based on the latest TPC-C specification using solid-state drive (SSD) storage devices. By analyzing the characteristics of the TPC-C workload, we propose a series of system-level optimization methods to improve the TPC-C performance. First, we propose an approach based on SmallFile table space to organize the test data in a round-robin method on all of the disk array partitions; this can make full use of the underlying disk arrays. Second, we propose using a NOOP-based disk scheduling algorithm to reduce the utilization rate of processors and improve the average input/output service time. Third, to improve the system translation lookaside buffer hit rate and reduce the processor overhead, we take advantage of the huge page technique to manage a large amount of memory resources. Lastly, we propose a locality-aware interrupt mapping strategy based on the asymmetry characteristic of non-uniform memory access systems to improve the system performance. Using these optimization methods, we performed the TPC-C test on two large-scale high-end computers using SSD arrays. The experimental results show that our methods can effectively improve the TPC-C performance. For example, the performance of the TPC-C test on an Intel Westmere server reached 1.018 million transactions per minute.     

Joint relay selection and power allocation for amplify-and-forward two-path relaying networks

This paper presents a joint relay selection and power allocation scheme for amplify-and-forward two-path relaying networks,in which diferent relay nodes forward information symbols alternatively in adjacent time slots.Our approach is based on the maximization of the received signal-to-noise ratio under total power consumption by the transmission of the symbol.We show that in spite of inter-relay interferences,the maximization problem has a closed-form solution.Simulation results explicitly indicate that the performance of proposed approach outmatches the existing methods including equal power allocation and one-path relaying.     

自适应均衡器的FPGA实现

在无线通信系统中,由于多径效应的干扰导致信号在传输过程中不可避免地产生码间干扰,因此必须在接收端增加均衡器,以消除码间干扰,提高传输质量。该自适应均衡器设计以FPGA为设计平台,使用自上而下的模块化的设计方法,利用StratixⅡ系列EP1C20F324C6芯片,采用横向滤波器结构,设计并行结构的8阶复数滤波器。最后在QuartusⅡ中进行仿真与综合,结果显示I、Q两路误差信号趋于零,从而实现自适应均衡,降低误码率。     

一种速度不完全更新混沌粒子群优化算法

研究优化算法,针对粒子群优化算法在搜索过程中容易陷入局部最优,而无法搜索到全局最优值的早熟问题,将速度的不完全更新机制引入到混沌粒子群中,提出不完全更新混沌粒子群算法(IUCPSO)以解决此问题.将Logistic序列引入到粒子群中,并将种群分块.一部分粒子以光学原理中的反射定律更新速度以开发更广的可行域,另一部分,则以优势粒子加细搜索.数值仿真结果表明,IUCPSO在搜索成功率和对可行域的开发程度上要优于标准粒子群和混沌粒子群,能较好地解决快速收敛问题,是一种可行而有效的优化方法.     

一种水下机器人运动的过程神经元控制

过程神经网络是传统神经网络的拓展, 增加了一个对于时间的聚合算子, 从而更好地模拟了生物神经元的信息处理机制. 这是由于水下机器人运动控制系统的输入、输出均是随时间连续变化的过程量. 结合S函数和预先规划思想, 建立水下机器人过程神经元的运动控制模型. 仿真试验证明,该新型控制模型, 对于水下机器人的运动非线性控制器具有设计简单、响应速度快、超调小、鲁棒性好等优点.     

一种基于GPU加速的细粒度并行蚁群算法

为改善蚁群算法对大规模旅行商问题的求解性能,提出一种基于图形处理器(GPU)加速的细粒度并行蚁群算法.将并行蚁群算法求解过程转化为统一计算设备架构的线程块并行执行过程,使得蚁群算法在GPU中加速执行.实验结果表明,该算法能提高全局搜索能力,增大细粒度并行蚁群算法的蚂蚁规模,从而提高了算法的运算速度.