Trivariate maximum entropy distribution of significant wave height,wind speed and relative direction

A trivariate maximum entropy distribution of significant wave height, wind speed and the relative direction is proposed here. In this joint distribution, all the marginal variables follow modified maximum entropy distributions, and they are combined by a correlation coefficient matrix based on the Nataf transformation. The methods of single extreme factors and of conditional probability are presented for the joint design of trivariate random variables. The corresponding sampling data about significant wave heights, wind speeds and the relative directions from a location in the North Atlantic is applied for statistical analysis, and the results show that the trivariate maximum entropy distribution is sufficiently good to fit the data, and method of conditional probability can reduce the design values efficiently.     

频带能量与样本熵在注意力脑电信号中的对比研究

脑电波是一种复杂的生物电信号,可反应出大脑内部的活动及注意力等精神状态。基于此,论文设计了注意力相关的脑电实验,并完成了受试者脑电数据的采集,对所采集的脑电数据分别从以下两种角度进行研究:从时频分析的角度,采用db4小波基对原始脑电信号进行7层小波包分解,提取了β波/θ波能量占比作为特征量;从非线性动力学的角度,提取脑电信号的样本熵作为特征,并分别对各受试者进行注意力的分级研究。通过对比分析,结果表明两者都能从一定程度上表征注意力水平的状况,但样本熵对于多级注意力的区分度更好。     

沥青组成与乳化沥青稳定性的灰熵关联研究

为研究乳化沥青储存稳定性与沥青组成及性质之间的关系,选用四种基质沥青,对其基本性质、四组分组成、元素组成和平均结构单元参数进行了分析。并分析了四种基质沥青制备的乳化沥青的储存稳定性。采用灰熵关联分析研究了乳化沥青储存稳定性与沥青的化学组成及基本性能之间的关系。结果表明:四组分组成中,胶质和沥青质含量是影响乳化沥青储存稳定性的最主要因素,胶质和沥青质含量越高,储存稳定性越好。元素组成中,杂原子含量是影响乳化沥青储存稳定性的最主要因素,杂原子含量越高,稳定性越好。然而,沥青的基本性质和平均结构单元参数与乳化沥青的储存稳定性之间没有明显的相关性。     

Accelerated exploration of multi-principal element alloys for structural applications

A strategy for accelerated discovery and exploration of multi-principal element alloys was developed and used to identify new alloys within a design window of desired microstructures and properties. As an example, the strategy was applied to analyze thousands of 3- 4-, 5- and 6-component alloys at equiatomic compositions of the alloying elements. Currently available thermodynamic databases were used to assess equilibrium phase diagrams for these alloys. The validity and reliability of the calculated phase diagrams were estimated based on the extent of experimental binary and ternary data used to build the respective thermodynamic databases. Alloys with specific characteristics, such as single-phase solid solution alloys with the use temperature above 1000 °C, were identified using an automated analysis of the calculated phase diagrams. The density, elastic moduli and costs of these alloys were estimated using the rule of mixtures of pure elements and were used as additional criteria for alloy selection. This approach allowed rapid, albeit preliminary, screening of many thousands of alloys and identification of promising candidate compositions, some of which are reported in this paper, for more time intensive experimental validations and assessments.     

Thermodynamic assessment of the group IV,V and VI oxides for the design of oxidation resistant multi-principal component materials

Multi-principal component materials (MPCMs) are currently being investigated for use in high and ultra-high temperature environments. The design of oxidation resistant multi-component materials requires as input the oxidation behavior of each of the components. FactSage free energy minimization software and databases were used to calculate the equilibrium oxide phases and free energies of formation for the oxides of the Group IV, V and VI refractory metals, and their carbides, nitrides and borides. The results are summarized in Ellingham diagrams. Periodic trends were noted; Group IV elements form the most stable oxides with the highest melting temperatures (T_m), Group V elements form oxides with low T_m, and Group VI elements form gaseous oxide species. Oxygen diffusion data from literature for some of these oxides were also reviewed and summarized. The results are utilized to identify strategies for optimizing oxidation resistance of MPCMs for service at temperatures above 1700°C.     

基于熵权法的河北省水资源脆弱性评价

鉴于研究水资源脆弱性对河北省水资源可持续利用具有重要意义,特利用熵权法评价了河北省水资源脆弱性。发现河北省2005～2016年水资源脆弱性以中等脆弱性为主,水资源脆弱性呈现下降趋势;2005～2016年河北省平原区浅层地下水位不断下降;2005～2016年河北省总体上水资源利用效率得到明显提高,农业依然是用水大户。     

嵌入式化合物嵌锂电压的表达式

根据化合物单相嵌锂时的晶体结构和嵌锂能的变化特征，采用热力学和统计物理的分析方法，推导了任意嵌入式化合物的嵌锂电压的表达式，并用它来预测了Lil xV308的嵌锂电压。对该式中各参数的分析及Lil xV3O8嵌锂电压的计算结果表明：嵌锂电压主要取决于空位嵌锂能，嵌锂过程中的组态嫡变对电压的贡献较小；已嵌入的锂离子及其邻近阳离子的还原所导致的嵌锂能的变化是影响电压平稳性的关键因素。     

基因算法在信息免疫模型中的应用

研究了Web信息过载问题，提出一种新的基于基因算法的信息免疫模型（IIM）。根据免疫细胞的特异性，IIM利用不同的染色体描述用户需求，并专注于对无关信息的处理，使用户免于该类信息的入侵，并引入了特征选择和信息熵，阈值的选择也是可变的。最后，用试验与Rocchio方法作了对比，证明此模型有效地提高了信息过滤的查准率和查全率。     

基于非线性多参数的旋转机械故障诊断方法

应用关联维数、李亚谱诺夫指数等非线性多参数对旋转机械故障诊断进行研究。对所采集的模拟旋转机械振动故障信号,运用相空间重构理论对其时间序列重构。为使重构相空间能充分地反映系统运动特征,对不同故障信号的时间延迟与嵌入维数确定问题进行研究,计算出不同故障信号的关联维数、李亚谱诺夫指数、复杂度和近似熵四个非线性特征量。在此基础上对四个非线性参数进行融合,并定义为非线性度,用这一特征量对故障信号特征进行提取与识别。由于非线性度是关联维数、李亚谱诺夫指数、复杂度和近似熵多参数的综合,更有利于分析识别故障信号,增强可靠性。研究表明:故障类型不同,非线性度指数不同,验证了这一非线性特征量是表征不同故障信息的有效参数。此研究为复杂旋转机械故障诊断提供一种识别方法。