技术进步对提高电力企业效率贡献的研究

阐述了全要素生产率理论和技术进步的关系,并通过对某电厂10多年中各个阶段全要素生产率的实证计算和分析,说明了技术进步对电力企业效率的提高有着巨大贡献．     

水果蔬菜中有机磷农药残留的快速检测技术研究

利用有机磷杀虫剂敌百虫属酯类化合物在碱性条件下易水解成醇类、酚类和磷酸的性质,将水解产物醇类、酚类与具氧化性的KMnO4有色液反应使溶液的颜色发生改变,根据试液颜色的改变程度与敌百虫量的关系制成标准比色卡,用色卡法快速检测水果蔬菜中有机磷农药残留量。研究表明,该方法对敌百虫的检测灵敏度为0．058mg／kg,单个样品全过程检测只需5min,具有检测时间短、成本低、简单方便、快捷等特点,适用一般家庭或农贸市场、超市快速检测水果、蔬菜中有机磷农药残留量。     

基于总体最小二乘法的混合滤波器组误差补偿算法

模拟分析滤波器的实现误差以及各子带间的增益、相位失配误差的存在都将影响混合滤波器组（HFB）的完美重构效果。针对以往矫正方法对信号源稳定度要求高、调试复杂的缺点,提出一种模数混合的HFB失配误差矫正系统结构。利用伪随机噪声覆盖信号全谱且功率谱密度为常数的特点作为矫正信号源,根据其二阶统计量计算期望的补偿器频域响应。提出一种新的基于总体最小二乘（TLS）算法的IIR形式补偿器设计方法,推导了以IIR滤波器系数为未知变量的线性方程组,并利用TLS算法有效抑制设计误差以及量化噪声等扰动因素影响,优化滤波器系数,减小失配误差影响。仿真结果表明该算法的结构简单、易于实现,同时能有效改善HFB的重构效果。     

影响株洲火车站广场空气质量的因素研究

为了探究影响火车站广场污染物(总悬浮颗粒物和可吸入颗粒物)质量浓度的因素,以株洲火车站广场为研究对象,对总悬浮颗粒物和可吸入颗粒物质量浓度与人流密度、车流量的变化关系进行了试验性研究。结果表明,总悬浮颗粒物质量浓度与人流密度、车流量都呈正相关,其主要影响因素是车流量;可吸入颗粒物质量浓度与人流密度呈正相关,与车流量不呈明显的正相关,其主要影响因素是人流密度。细菌和病毒以可吸入颗粒物为载体被人体吸入而致病,因此人们活动时应尽量避开广场人流密度大的地方。     

Corrosion of Different Materials in Combustion Chamber of Yellow Phosphorus Tail Gas in Industrial Boiler

The corrosion of materials in combustion chamber of yellow phosphor tall gas was investrgated. The results reveal that the corrosion behavior is different for different materials under actual work conditions.     

结合波原子和全变差方法的图像去噪*

传统的硬阈值去噪会产生伪吉普斯现象,而波原子本身的周期化过程也会出现新的方向性纹理失真。采用全变差最小化方法来抑制这些失真,提出一种改进的波原子去噪算法。该算法不是直接将低于阈值的小系数置为零,而是对这些系数在全变差最小的意义上作修正迭代,得到最终的去噪图像。数值实验结果表明,波原子去噪保留边缘和纹理的效果优于小波和曲线波,改进算法去噪的视觉质量明显好于传统波原子去噪。最后还指出了进一步的研究方向。     

全回流-全馏出与变塔压联合的间歇精馏过程

A novel operation of batch distillation-combination of varying colum pressure and total reflux-total efflux is studied experimentally. In the operation, the product is accumulated at the top of the column under total reflux and then drained off completely, and the column pressure is varying in the whole process. This process has been industrialized successfully with large profits. The conventional mode of batch distillation is improved by this method effectively: the separation eficiency and the yield of product are increased greatly, the operation time is shortened and the production cost is cut down. Moreover, the amount of condensation water is decreased and the over-high reboiler temperature is lowered.     

合成中间体O,O-二乙基硫代磷酰氯的工艺改进

以五硫化二磷为原料,在催化剂三乙胺存在下,与无水乙醇反应合成乙基硫化物,再与氯气反应,最后经硫化钠和氢氧化钠的混合物精制,得到纯度≥99%的O,O-二乙基硫代硫酰氯,总收率达到89%以上。     

Adaptive variational models for image decomposition

Image decomposition refers to the splitting of an image into two or more components.In this paper,a clean image is separated into two parts:one is the cartoon component,consisting only of geometric structure,and the other is the oscillatory component,consisting of texture.Three parts for noisy image are considered:cartoon,texture,and noise.To better decompose an image,we propose two new variational models.In our models,two adaptive regularization terms are introduced.The two regularization terms are determined by an adaptive function which can discriminate the cartoon and texture of an image automatically.Experimental results illustrate the efectiveness of the proposed models for image decomposition.     

Fractional partial differential equation denoising models for texture image

In this paper,a set of fractional partial differential equations based on fractional total variation and fractional steepest descent approach are proposed to address the problem of traditional drawbacks of PM and ROF multi-scale denoising for texture image.By extending Green,Gauss,Stokes and Euler-Lagrange formulas to fractional field,we can find that the integer formulas are just their special case of fractional ones.In order to improve the denoising capability,we proposed 4 fractional partial differential equation based multiscale denoising models,and then discussed their stabilities and convergence rate.Theoretic deduction and experimental evaluation demonstrate the stability and astringency of fractional steepest descent approach,and fractional nonlinearly multi-scale denoising capability and best value of parameters are discussed also.The experiments results prove that the ability for preserving high-frequency edge and complex texture information of the proposed denoising models are obviously superior to traditional integral based algorithms,especially for texture detail rich images.