好氧颗粒污泥实现同步除磷脱氮的试验研究

在厌氧反应1h,好氧反应4h,缺氧反应2h的运行条件下,研究了序批式反应器中好氧颗粒污泥同步除磷脱氮的情况,并对好氧颗粒污泥除磷脱氮的机理进行了探讨．试验结果表明,该系统对氮、磷和有机物具有良好的去除效果,对氨氮、总无机氮、磷、COD的去除率分别达到89．2％～98．9％,81．3％～89．4％,86．8％～90．0％和82．7％～96．6％。     

抗坏血酸对大豆某些生理指标的影响

在相等土壤肥力和相同体积花盆中培养的大豆幼苗,分别用浓度5、10、20mmol.L-1的抗坏血酸(VC)和自来水(CK)浇灌,18d后逐步测定正在扩张生长期的叶片中可溶性糖、可溶性蛋白含量、硝酸还原酶(NRA)、过氧化物酶(POD)、超氧化物歧化酶(SOD)的活性.结果表明:10mmol.L-1 VC处理的大豆叶片可溶性糖、可溶性蛋白含量,SOD酶活性比CK均有所提高;3个处理的硝酸还原酶(NRA)活性均比CK有所增大;10mmol.L-1 VC处理对POD酶活性影响不明显.     

基于GAN的医学图像仿真数据集生成算法

基于生成对抗网络(generative adversarial networks,GAN),提出了面向肝脏肿瘤CT图像仿真数据集生成深度学习算法.首先,将CT图像数据文件进行格式解析,单独保存为PNG格式的图像文件;然后,将肝脏病变区域统一标注为白色,并结合肝脏CT原图组成配对图片;最后,用生成对抗网络的pix2pix架构仿真生成病变肝脏图像.为将生成图像与目标图像进行定量分析、比较,本文采用了峰值信噪比和结构相似性作为模型的评价指标.实验结果表明,本文算法所生成的肝脏肿瘤CT仿真数据集的平均峰值信噪比为64.72dB,平均结构相似性为0.9973,证明了所生成的仿真图像数据有着非常高的真实度.     

Nanostructured TiO2（B）:the effect of size and shape on anode properties for Li-ion batteries

Reducing the dimensions of electrode materials from the micron to the nanoscale can have a profound influence on their properties and hence on the performance of electrochemical devices,e.g.Li-ion batteries,that employ such electrodes.TiO2(B) has received growing interest as a possible anode for Li-ion batteries in recent years.It offers the possibility of higher energy storage compared with the commercialized Li4Ti5O12.Bulk,nanowire,nanotube,and nanoparticle morphologies have been prepared and studied.However,to date these materials have not be compared in one article.In the current review we first summarize the different synthesis methods for the preparation of nanostructured TiO2(B);then present the effects of size and shape on the electrochemical properties.Finally TiO2(B) with nanometer dimensions exhibit a higher capacity to store Li,regardless of rate,due to structural distortions inherent at the nanoscale.     

Proposed Methodology for Generation of Building Information Model with Laserscanning

For refurbishment and state review of an existing old building, a new model reflecting the current state is often required especially when the original plans are no longer accessible. Laser scanners are used more and more as surveying instruments for various applications because of their high-precision scanning abilities. For buildings, the most notable and widely accepted product data model is the IFC product data model. It is designed to cover the whole lifecycle and supported by various software vendors and enables applications to efficiently share and exchange project information. The models obtained with the laser scanner, normally sets of points ("point cloud"), have to be transferred to an IFC compatible building information model to serve the needs of different planning states. This paper presents an approach designed by the German Research Center in Karlsruhe (Forschungszentrum Karlsruhe) to create an IFC compatible building information model from laser range images. The methodology through the entire process from data acquisition to the IFC compatible product model was proposed in this paper. In addition, IFC-Models with different level of detail (LoDs) were introduced and discussed within the work.     

静电机理对核孔膜过滤气溶胶的影响

实验研究了静电机理对核孔膜过滤气溶胶的影响，在Ｚｅｂｅｌ数学模型的基础上，经改进建立了核孔膜静电场的物理及数学模型，该模型考虑了对邻孔间静电场相互影响的修正。在实验手段上解决了核孔膜及粒子消电和充电问题。采用数值解法计算了核孔膜在静电、碰撞、截留三种机理作用下的综合过滤效率。附加考虑扩散机理后的总效率与实验结果吻合得相当好。提出了粒子或核孔膜一方带电时的镜象力影响分析，对理论分析与实验结果之间存在的偏差作出了合理的解释。     

新疆禾本科短命植物旱麦草的营养器官解剖学研究

本文报导了禾本科短命植物的旱麦草[Eremopyrum triticrurm(cmerth)Nevshi]具有特殊的解剖结构,茎在抽穗时,仍具有实心的薄壁组织,此特点在禾本科中生植物中罕见.在根、茎、叶中皆有大型薄壁细胞.茎、叶的表皮细胞及根中柱鞘内的薄壁细胞,它们的细胞壁均增厚,起着机械支持作用.叶的栅栏组织发达,由 2～3层栅栏细胞组成,等面叶,属于C_4植物型,根、茎仅有初生结构,其内部结构简单.     

FRP加固混凝土柱钢筋锈蚀电化学特性

通过外加电流加速试验获得锈蚀钢筋混凝土柱,采用纤维增强聚合物(FRP)全裹方法对其进行加固,然后通过盐溶液干湿交替方法对FRP加固柱进行钢筋锈蚀试验,利用电化学工作站量测FRP加固柱的钢筋半电池电位和线性极化曲线,分析FRP加固柱的钢筋锈蚀电化学特性.试验结果表明:随着干湿交替次数的增加,外粘CFRP和GFRP加固柱的钢筋半电池电位呈先升高后稳定趋势,线性极化电阻呈增大趋势,腐蚀电流密度呈降低趋势;外粘CFRP和GFRP加固法均能在一定程度减缓钢筋混凝土柱的钢筋锈蚀,CFRP延缓钢筋锈蚀效果优于GFRP.     

一种基于分块大容量的LSB算法

信息隐藏的原理就是利用多媒体中存在很大的冗余信息来隐藏秘密信息。该文在传统的LSB算法基础上,结合人类视觉系统的掩蔽特性,对载体图像分成平滑区、边缘区和纹理区,相应地嵌入秘密信息;实验结果表明,用该算法进行信息隐藏具有较好的隐蔽性,且具有较大的隐藏容量。     

混合动力汽车能量管理控制器参数优化

设计了一种新的基于人工免疫网络优化的模糊神经混合动力汽车能量管理控制器．该控制器结合模糊控制和神经网络的优点,利用神经网络的自学习能力,自动生成模糊规则和隶属函数,并不断优化隶属函数的参数,直到达到设计要求．为了避免神经网络的学习过程陷入局部极值点,采用人工免疫网络优化神经网络的参数．仿真结果显示,经过参数优化的模糊神经能量管理控制器的性能比普通能量管理控制器好,能进一步降低HEV的油耗．