基于模糊理论的非处方药的满意度评价系统

为了帮助顾客从众多对症的非处方药中选出最满意的药品,提出了开发1个基于Web的非处方药满意度评价系统。系统根据顾客提供的典型症状,采用疾病与症状相结合的选药策略,查找出所有对症的非处方药,并以药品安全性、疗效、稳定性、易用性、价格作为评价因素,根据顾客的关注角度和关注程度确定各因素权重,用模型b=W·R对对症药品进行满意度评价,按满意度高低依次推荐。经实际应用,系统推荐准确度在70%以上。     

用Mathematica解热量传递过程中的数学问题

本文建议用数学软件Mathematica计算热量传递过程,包括用符号运算功能推导保温层临界直径,用曲线拟合法处理传热实验数据,用积分法求取传热系数为温度函数时的换热面积,用Solve等命令求解换热和保温过程所产生的非线性方程,用DSolve命令求解非稳态传热过程产生的微分方程等等。同时绘制出有关函数图形,准确、形象地展示计算过程和结果,方便教师讲解和学生理解,避免复杂、繁琐、耗时的手工计算,提高学生利用计算机解决热量传递问题的能力。     

拓扑距离特征指数对多氯联苯的QSPR研究

根据分子拓扑理论,提出1种新的多氯联苯(PCBs)化合物分子中,顶点原子(基团)点价值δ_i的计算方法,据以构建分子的结构参数——拓扑距离特征指数(TDEI);同时考虑分子体积以及氯原子在苯环上的位置和数目对PCBs性质的影响,引入分子体积参数(V_R)和基团定位指数(D),然后,采用多元线性回归法,分别建立了PCBs的正辛醇-水分配系数(lgK_(OW))和水溶解度(-lgS_w)的定量结构-性质相关模型,其相关系数分别达到0.9972和0.9730,均优于前人的工作。利用模型预测另外7个PCBs分子的lgK_(OW)和-lgS_W,预测值与实验值的一致性令人满意。     

农产品成本数据库管理系统关键技术的实现

结合农产品成本数据库管理系统开发实例,对其中的框架页折叠、目录条件收放及动态统计图设计几个关键技术进行研究,并给出相应的主要实现代码。     

一种水下主动探测系统的模拟预处理机设计

模拟预处理机是水下主动探测系统的关键部件.针对水下主动探测系统的应用,设计了一种模拟预处理机,该电路采用分级放大结构,并使用两级滤波器对信号进行滤波处理,在达到对信号放大倍数要求的同时避免了放大器自激,采用噪声性能好的AD867X系列芯片有效抑制了电路噪声对信号的影响.分析了该模拟预处理机的工作原理,给出了电路结构图,并选择了芯片,调试检测结果表明,电路工作正常,性能指标达到要求.     

基于BIST的动态可重构FPGA的时延故障测试方法

FPGA市场已经进入极速发展时代,不同的销售商已向市场投入更多更快的FPGA器件。随着FPGA器件的迅速发展,FP-GA的密度和复杂程度也越来越高,使大量的故障难以使用传统方法进行测试,因此,对FPGA器件的故障测试和故障诊断方法进行更全面的研究具有重要意义。为此重点研究了动态重构FPGA及其基本结构、特点;在此基础上探讨了基于BIST技术的FPGA时延故障测试方法,并成功应用于Lattice ORCA 2C系列FPGA中。实验证明,该BIST方法是可行且有效的,并且不需要昂贵的ATE设备。     

基于RTX的复杂虚拟试验分层实时网络环境研究

复杂实时仿真系统中不同层次对实时性、可靠性要求各不相同;网络和操作系统是该类系统环境的重要组成部分;针对硬件在回路试验的实时需求,提出了基于RTX下的反射内存网的半实物接入网络,构建了基于RT-TCP/IP的虚拟试验局域网;其操作系统层面,设计为弱实时任务在Windows内核上运行,而强实时任务分布在RTX内核之上;文中对各层面的实时性进行了测试,分析了层面间的实时性约束;结合某飞行试验系统的虚拟试验,给出了具体的设计方案,满足了应用中不同实时性的要求。     

FTPA: Supporting Fault-Tolerant Parallel Computing through Parallel Recomputing

As the size of large-scale computer systems increases, their mean-time-between-failures are becoming significantly shorter than the execution time of many current scientific applications. To complete the execution of scientific applications, they must tolerate hardware failures. Conventional rollback-recovery protocols redo the computation of the crashed process since the last checkpoint on a single processor. As a result, the recovery time of all protocols is no less than the time between the last checkpoint and the crash. In this paper, we propose a new application-level fault-tolerant approach for parallel applications called the Fault-Tolerant Parallel Algorithm (FTPA), which provides fast self-recovery. When fail-stop failures occur and are detected, all surviving processes recompute the workload of failed processes in parallel. FTPA, however, requires the user to be involved in fault tolerance. In order to ease the FTPA implementation, we developed Get it Fault-Tolerant (GiFT), a source-to-source precompiler tool to automate the FTPA implementation. We evaluate the performance of FTPA with parallel matrix multiplication and five kernels of NAS Parallel Benchmarks on a cluster system with 1,024 CPUs. The experimental results show that the performance of FTPA is better than the performance of the traditional checkpointing approach.     

An EM approach to mineral analysis using natural gamma rays

We describe here a method for the analysis of materials on a conveyor belt using the natural gamma spectra collected with a BGO (Bismuth Germanate) gamma ray detector. This detector collects gamma ray emissions from the Potassium (K), Uranium (U), and Thorium (Th) atoms in the materials. Based on these data, and using a Poisson model for the data generation, a statistical model is proposed and an approximate maximum likelihood (ML) technique based on the expectation-maximization (EM) algorithm is then used to estimate the amount of each of the three elements in the material. The statistical model is further refined to incorporate parameters of drift in the detector and an estimation technique for this is developed and tested against real data. The Cramér–Rao lower bounds for the estimators are calculated.     

Reliability-based design optimization of problems with correlated input variables using a Gaussian Copula

The reliability-based design optimization (RBDO) using performance measure approach for problems with correlated input variables requires a transformation from the correlated input random variables into independent standard normal variables. For the transformation with correlated input variables, the two most representative transformations, the Rosenblatt and Nataf transformations, are investigated. The Rosenblatt transformation requires a joint cumulative distribution function (CDF). Thus, the Rosenblatt transformation can be used only if the joint CDF is given or input variables are independent. In the Nataf transformation, the joint CDF is approximated using the Gaussian copula, marginal CDFs, and covariance of the input correlated variables. Using the generated CDF, the correlated input variables are transformed into correlated normal variables and then the correlated normal variables are transformed into independent standard normal variables through a linear transformation. Thus, the Nataf transformation can accurately estimates joint normal and some lognormal CDFs of the input variable that cover broad engineering applications. This paper develops a PMA-based RBDO method for problems with correlated random input variables using the Gaussian copula. Several numerical examples show that the correlated random input variables significantly affect RBDO results.