核桃花中绿原酸、新绿原酸和隐绿原酸的提取工艺响应面优化及其抗氧化活性研究

目的 探讨干燥核桃花中绿原酸、隐绿原酸和新绿原酸的最佳提取工艺及其抗氧化活性。方法 采用超声波辅助乙醇法提取核桃花中的绿原酸、新绿原酸和隐绿原酸, 以提取温度、乙醇体积分数、提取时间和料液比为自变量, 以得率的总评归一值(overall desirability, OD)为因变量, 应用响应面对提取工艺进行优化, 并通过体外实验评价了其抗氧化活性。结果 最佳提取工艺为：温度77℃, 乙醇体积分数67%, 提取时间28 min, 料液比1: 23(g/mL)。此时,绿原酸、新绿原酸和隐绿原酸的总提取率最佳, OD值可达0.91, 对DPPH自由基、ABTS自由基和羟自由基的半数抑制浓度(Half-maximal Inhibitory concentrations, IC50)值分别为41.63、41.68和34.43 μg/mL。结论 优选出的工艺稳定可行, 且提取液具有较好的体外抗氧化活性, 为核桃花中绿原酸类成分的进一步开发利用提供了理论基础。     

Bad-scenario-set robust scheduling for a job shop to hedge against processing time uncertainty

This paper proposed two robust scheduling formulations in real manufacturing systems based on the concept of bad scenario set to hedge against processing time uncertainty, which is described by discrete scenarios. Two proposed robust scheduling formulations are applied to an uncertain job-shop scheduling problem with the makespan as the performance criterion. The united-scenario neighbourhood (UN) structure is constructed based on bad scenario set for the scenario job-shop scheduling problem. A tabu search (TS) algorithm with the UN structure is developed to solve the proposed robust scheduling problem. An extensive experiment was conducted. The computational results show that the first robust scheduling formulation could be preferred to the second one for the discussed problem. It is also verified that the obtained robust solutions could hedge against the processing time uncertainty through decreasing the number of bad scenarios and the degree of performance degradation on bad scenarios. Moreover, the computational results demonstrate that the developed TS algorithm is competitive for the proposed robust scheduling formulations.     

天然气超声流量计健康状态评价方法初探

目的天然气计量用超声流量计性能诊断主要采用设定参数阈值的诊断方法,为降低误报、漏报等情况,建立了基于生成对抗神经网络(generated adjoint neural network,GAN)和高维非线性无监督学习的超声流量计健康状态系统诊断方法。 方法采用GAN对原始数据进行学习、生成和扩充,保障超声流量计健康状态诊断建模的数据基础,提取超声流量计在运行过程中的健康状态参数并对其进行时序分析,采用高维非线性无监督聚类学习方法,结合超声流量计失效模式分析,对超声流量计设备进行在线的健康状态诊断。 结果结合超声流量计工作原理和现场实际采集数据,对生成的故障数据集进行了验证。 结论能够准确识别超声流量计当前状态,显著解决传统阈值法误报率、漏报率高的问题,为超声流量计健康诊断的统一管理与开发给予支撑。      

一种针对FPGA位流的自动化故障注入分析方法

理论上通过篡改FPGA位流,利用其实现的密码算法的错误输出可以分析出密钥,但这种攻击通常需要非常了解目标FPGA的内部结构与位流的对应关系。而位流逆向的难度很大,导致此类攻击的实用性不高。文章提出一种针对FPGA位流的自动化故障注入分析方法,不需要逆向位流,结合张帆等人提出的持久性故障分析理论,把因篡改算法常量导致的出错结果作为可利用的故障。并首次在Xilinx-7系列FPGA开发板上利用Spider进行电压故障注入实验,480条错误密文就可以得到AES-128的密钥,且在10 min内可以完成数据的采集和分析。对于加密位流的情况,可以先利用电磁侧信道分析方法得到明文位流,再结合该文的分析方法来进行密钥破解。     

基于神经网络专家系统的大型异步电动机故障诊断

针对大型异步电动机发生故障时 ,故障征兆与故障原因之间复杂的对应关系 ,提出了一种利用神经网络专家系统对电动机进行故障诊断的新方法 ,专家系统作为神经网络的外壳 ,充分发挥了专家系统和神经网络各自的特点。文章介绍了系统的构成、功能、算法及实现。该算法利用MATLAB的神经网络工具箱进行了仿真。结果表明 ,该算法可行 ,可大大提高故障诊断的准确性     

Boolean difference techniques in fault tree analysis

For an electrical, mechanical, or hybrid system described diagramatically as a network of interconnected components, fault tree modeling of system reliability as a function of individual component failure probabilities gives rise to logic expressions obtained from the network connections. Application of the method of Boolean differences in the analysis of such Boolean expressions is discussed, and it is shown that the influence of the status of specific components on the reliability of the total system may be investigated by straightforward algebraic operations on the network failure function.     

LaO_x(OH)_y supported platinum catalysts for CO oxidation:Deactivation by formation of lanthanum carbonate

Platinum catalyst for CO oxidation has been studied for decades,due to its high activity and good stability.In this work,we prepared three different lantha num oxide or hydroxide supports(LaO_x(OH)_y),and deposited platinum(Pt) with 0.5 at% via an impregnation approach to synthesize Pt/LaO_x(OH)_y catalysts.However,we find that these catalysts perform a poor stability for the CO oxidation reaction.The fresh and used samples were comprehensively characterized by multiple techniques including power X-ray diffraction(XRD),X-ray absorption fine structure(XAFS),transmission electron microscopy(TEM),temperature-programmed reduction by carbon monoxide(CO-TPR) and thermogravimetric analysis(TGA),to demonstrate that the oxidized platinum atoms or clusters,without any component of Pt-Pt metallic bond,are highly dispersed on the surface of LaO_x(OH)_y.Furthermore,the as-formed lanthanum carbonate(La₂O₂CO₃) during the exposure to ambient circumstances or in the reaction atmosphere of CO+O₂,severely impair the reactivity of Pt/LaO_x(OH)_y.On the basis of the obtained experimental results,we have drawn a conclusion that the oxidized P_tO_x atoms or PtxOy clusters are the active species for CO oxidation,while the formation of lanthanum carbonate is the origin of deactivation on reactivity.     

综合体内儿童活动场所执行消防规范的问题探讨

近年来,我国城市商业综合体的总数和规模出现了前所未有的增长,各种儿童活动场所在商业综合体内遍地开花,不少商业综合体甚至主打儿童品牌,成为满足儿童游乐、教育、摄影、零售、美食等多种需求的一站式基地。但此类场所的快速发展也带来了极大的火灾风险,相对消防法规和技术标准也出现了一些不适应、难执行的情况。文章对在商业综合体内设置的儿童活动场所执行现行消防法规和技术标准存在的问题及相应的解决措施进行分析,希望可以起到借鉴作用。     

匹配追踪消噪在故障诊断中的应用

为了更有效地消除齿轮泵振动信号的噪声,引入匹配追踪消噪方法。该方法采用匹配追踪算法,通过迭代提取信号的相关结构,再利用提取的相关结构来估计信号的逼近,从而达到消噪的目的。在此基础上,采用中值滤波和线性回归算法来终止迭代过程。最后利用该方法对齿轮泵壳体的振动信号进行消噪处理。结果表明,该方法保留了信号的基本特征,有效地消除了大量的噪声。     

应用于供应链的区块链PBFT共识算法优化

目前,区块链在供应链领域中的应用越来越受到业界的广泛关注.但由于供应链中存在大量复杂性的事务,这给可信的主节点选取工作带来了挑战.因此,在机器学习分类算法与PBFT (practical Byzantine fault tolerance)共识算法的基础上,提出一种应用于供应链的区块链PBFT共识算法优化方法.对构建供应链与区块链的集成框架进行分析,根据供应链中参与共识的节点属性特征,运用K-近邻(K-nearest neighbors)来优化PBFT共识算法的主节点选取规则.实验结果表明,对共识节点进行信任评估分类可以较好地解决因视图切换所引发的效率问题,从而提升区块链的吞吐量、时延、容错性等共识性能,具有一定的实用性,也给区块链在其他行业的应用提供了思路．