基于区间直觉模糊数的得分函数与精确函数及其应用

在模糊决策理论中，区间直觉模糊数的排序是一个非常重要的理论问题.运用得分函数和精确函数对区间直觉模糊数进行有效排序的关键是得分函数和精确函数的科学构建.本文基于得分函数和精确函数的内涵，运用概率论全概率公式思想提出了新的得分函数和精确函数，并证明了其公理化的性质.通过大量的实际数据测算与比较分析，验证了本文提出的得分函数和精确函数的科学性，从而在对区间直觉模糊数排序时更有效、更准确.     

Intermittent demand forecasting in the Enterprise: Empirical verification

Forecasting methods are often valued by means of simulation studies. For intermittent demand items there are often very few non–zero observations, so it is hard to check any assumptions, because statistical information is often too weak to determine, for example, distribution of a variable. Therefore, it seems important to verify the forecasting methods on the basis of real data. The main aim of the article is an empirical verification of several forecasting methods applicable in case of intermittent demand. Some items are sold only in specific subperiods (in given month in each year, for example), but most forecasting methods (such as Croston's method) give non–zero forecasts for all periods. For example, summer work clothes should have non–zero forecasts only for summer months and many methods will usually provide non–zero forecasts for all months under consideration. This was the motivation for proposing and testing a new forecasting technique which can be applicable to seasonal items. In the article six methods were applied to construct separate forecasting systems: Croston's, SBA (Syntetos–Boylan Approximation), TSB (Teunter, Syntetos, Babai), MA (Moving Average), SES (Simple Exponential Smoothing) and SESAP (Simple Exponential Smoothing for Analogous subPeriods). The latter method (SESAP) is an author's proposal dedicated for companies facing the problem of seasonal items. By analogous subperiods the same subperiods in each year are understood, for example, the same months in each year. A data set from the real company was used to apply all the above forecasting procedures. That data set contained monthly time series for about nine thousand products. The forecasts accuracy was tested by means of both parametric and non–parametric measures. The scaled mean and the scaled root mean squared error were used to check biasedness and efficiency. Also, the mean absolute scaled error and the shares of best forecasts were estimated. The general conclusion is that in the analyzed company a forecasting system should be based on two forecasting methods: TSB and SESAP, but the latter method should be applied only to seasonal items (products sold only in specific subperiods). It also turned out that Croston's and SBA methods work worse than much simpler methods, such as SES or MA. The presented analysis might be helpful for enterprises facing the problem of forecasting intermittent items (and seasonal intermittent items as well).     

Layered carbon-based pseudocapacitive materials for lithium/sodium-ion capacitor with high energy-power densities and long cycle life

Hybrid ion capacitors that combined high-power density of supercapacitor and high-energy density of battery are drawing attention to insufficient power densities of currently-used lithium-ion batteries(LIBs).Two kinds of layered carbon-based pseudocapacitive materials were used as both anode and cathode for lithium/sodium ion capacitors(LICs/NICs) with balanced energy/power properties.As-assembled NIC and LIC could deliver the energy densities of 125.7 Wh kg~(-1)and 119.6 Wh kg~(-1) at the power density of 7941.2 W kg~(-1) and 8823.5 W kg~(-1),respectively.The electrochemical properties of NICs were better than that of LICs when the current density was below 4 A g ~(-1) although the working voltage of LIC is higher than that of NICs,and the size of Na ~(-1) is larger than that of Li~+.Using an instantaneous potential technique,it is found that the increase of the capacity for anode material in low potential region will effectively enhance the electrochemical performance for the full device.     

基于地理国情监测数据的SWMM模型优化

SWMM作为动态模拟的城市暴雨积涝模型,被广泛应用于城市积涝负荷估算研究,并在很多小尺度研究中取得了很好的效果。随着中国城市发展不断加快,城市积涝研究的空间尺度也随之变大,如何科学合理的构造模型,并且保证模型的精度成为研究中一个重要问题。本文基于地理国情监测数据分析了SWMM应用于城市区域暴雨积涝模拟时,地理国情监测数据对模型精度的影响,并在此基础上,在汇水区划分、管网概化、节点选取等三方面对其参数进行优化。以陕西省延安市为例,利用优化后的模型对三场真实降雨相关数据进行分析,给出了对延安市内涝风险的区域划分。实验表明：溢流节点和超载管段基本符合街道淹没情况,为延安市内涝风险防治提供了科学参考。     

荷叶碱的分离纯化与HPLC检测

以荷叶为原料,研究了提取方法、提取溶剂的种类、浓度、pH、提取温度等对荷叶碱提取率的影响。采用强酸性苯乙烯系阳离子交换树脂、HPD-100大孔吸附树脂和硅胶柱层析的方法对荷叶碱进行了分离纯化,并用TLC法、紫外光谱法、红外光谱法以及高效液相色谱法对实验结果进行了检测。结果表明,pH为2.0的50%乙醇水浴回流法适于荷叶碱的提取,阳离子交换树脂和硅胶柱层析组合技术可分离纯化得到纯度为94.15%的荷叶碱。     

大型速冻设备高效蒸发器传热技术研究

对于大型架构下的速冻设备,采纳不同型式,蒸发器特有的传热系数都会凸显差异。本文探析了高效情形下的这类蒸发器,辨识管路排列、管径尺寸数值、翅片各类形态。不结霜情形下,传热特性最为优良的蒸发器应当配有整体框架内的波纹翅片。对于这类器材,设定传热测验以便获得吻合的系数数值。     

改进的非参数 Ce ns us 变换立体匹配算法

针对多数立体匹配算法的相似性测度都建立在像素灰度特性基础上, 无法彻底消除匹配差异性, 易出现歧异性的问题, 提出一种改进的非参数Census变换匹配算法. 该算法通过在传统非参数Census匹配过程中增加局部纹理反差值测度, 引入图像纹理度量的方向性, 使中心像素灰度值不再是唯一决定因素, 改进了匹配模版, 从而有效解决了传统匹配算法的歧异性问题. 实验结果表明, 改进算法是一种有效、 合理的立体匹配方法, 提高了稠密匹配精度.     

在高压下CrB4 的结构和电子性质的第一性原理计算

该论文对新合成超硬材料CrB4 的结构和电子性质从0 GPa到100 GPa的压力范围内，采用密度泛函理论下的第一性原理计算进行了详细的理论研究. 在零压力下的结果与现有的理论和实验值吻合得很好. 计算了CrB4 的结构，键长，B–B、Cr–B键的Mulliken重叠布居，态密度（DOS）和PDOS等随压力的依赖，并进行了讨论. 计算出的结构性质随压力的依赖表明，结构参数和CrB4 共价键对压力不敏感，有力地支持了CrB4化合物的高硬度是来自于B–B笼这一特点.     

利用SRTM数据修测高山区地貌的探讨

在高海拔区域测制地形图,如青藏高原地区,所获取的遥感影像局部存在着大范围的高山阴影或云雪覆盖,造成立体观测地貌困难的现象,探讨应用SRTM数据对这类特殊区域地貌进行修测补绘。介绍了数据处理的作业过程,并对实验区SRTM与SPOT5影像立体测图成果进行实验对比分析,成果符合要求。