浸没循环撞击流反应器中微观混合的影响因素

介绍了撞击流的基本原理和浸没循环撞击流反应器的结构,利用α-萘酚与对氨基苯磺酸重氮盐之间的串联竞争偶合反应对浸没循环撞击流反应器中微观混合的影响因素进行了研究．结果表明,提高螺旋桨转速、减小流量体积比可以提高微观混合效果;反应物初始浓度与分隔指数的关系验证了一定转数下微观混合时间只能达到一定的数值．     

基于联合卡尔曼滤波器的燃料电池传感器故障检测与容错研究

介绍了基于多传感器信息融合技术的联合卡尔曼滤波器的结构和算法,并将此方法运用于燃料电池发动机多传感器的复杂系统中．理论分析与仿真结果表明,该联合卡尔曼滤波器设计合理,其融合算法具有全局最优性,能够有效地对燃料电池发动机传感器的故障进行检测,改善了系统的容错能力和复原能力,提高了系统运行的稳定性．     

成纤维细胞和ES细胞在小鼠和兔去核卵母细胞内发育

以昆明白小鼠成纤维细胞和胚胎干（ES）细胞作为供核细胞,以昆明白小鼠和日本大耳白兔的MⅡ期去核卵母细胞作为受体,采用核移植方法,构楚了克隆胚胎．在同种克隆中,以ES细胞为供核细胞的克隆胚胎卵裂率明显低于以成纤维细胞为供核细胞的克隆胚胎卵裂率（24．4％相对于56．9％,P〈0．05）,1．8％的ES细胞克隆胚胎发育到囊胚阶段,而成纤维细胞克隆胚胎没能发育到囊胚阶段;在异种克隆中,以ES细胞为供核细胞的克隆胚胎卵裂率（89．6％）和囊胚发育率（18．8％）明显高于以成纤维细胞为供核细胞的克隆胚胎卵裂率（54．2％）和囊胚发育率（4．2％）．     

砾间接触氧化反应器中微型动物种类及其贡献解析

通过3组平行试验,验证了生物砾石接触氧化法处理生活污水的可行性.结果表明:连续曝气的处理效果最佳.在3组试验装置的好氧生物膜中,检测出6种微型生物:钟虫、草履虫、轮虫、线虫、盾纤虫和体虫.其中,体虫未在间歇曝气装置中出现.连续曝气装置中检测到的微型生物种类与数量均多于间歇曝气装置.微型动物对剩余污泥减量的贡献可归纳为:增长食物链;直接对污泥进行摄食和消化,在减少污泥容量的同时增加污泥的可溶性;利用微型动物来增强细菌的活性或增加有活性的细菌数量,从而增强细菌的自身氧化和代谢能力,减少剩余污泥量.     

WCDMA-HSDPA的问题分析及其改进方案

高速下行分组接入（HSDPA）方式理论上能在小区内利用一个载波给多个用户同时提供高速数据和语音业务,但显然此时要求提供的下行业务容量应比单独提供语音业务时更大。证明了HSDPA缺乏技术理论基础,同时提出了一种利用码分多址/时分多址的HSDPA改进方案,它将利用码分多址区分语音和高速数据业务信道,在高速数据业务信道中再选用时分多址方式。这种方法可改进WCDMA标准上下行容量基本对称的技术问题,使其符合移动因特网的需求。      

二乙二醇甲醚浓度对飞机油箱抗静电涂层的影响

将飞机油箱专用抗静电涂层与不同质量分数二乙二醇甲醚溶液进行浸泡,分析检验涂层在浸泡后的颜色、铅笔硬度、附着力、冲击强度、柔韧性和表面电阻等关键指标的变化情况,用红外光谱、扫描电镜和能谱仪分别检测涂层分子结构、表面形态和元素组成的变化.实验表明:随着二乙二醇甲醚质量分数的不断增加,涂层的力学性能和导静电性能都有不同程度下...     

碱性甲醇燃料电池阳极催化剂的研究进展

综述了直接碱性甲醇燃料电池阳极催化剂的研究进展.由于采用碱性电解质,甲醇电化学氧化催化剂的选择可不再受只有铂才会表现较高的电催化活性的限制.指出了研究比较多的非铂催化剂Au,Pd,Ni和钙钛矿型稀土氧化物的研究机理,为进一步发展新型催化剂提供了新方向.     

A new DFM flow for sub-100nm standard cells

DFM （Design-For-Manufacturability） method, which aims to improve manufacturability of ICs through specific design considerations, is becoming important nowadays. In particular, standard cells now should be designed by DFM method. This paper reports a new DFM flow for sub-100 nm standard cell design with a group of technologies for process modeling, manufacturability simulation and trial RETs. Based on this flow, a set of DFM-friendly 90nm standard cells were designed.     

The start-up of biohydrogen-producing process by bioaugmentation in the EGSB reactor

Expanded granular sludge bed (EGSB) reactor and bioaugmentation were employed to investigate biohydrogen production with molasses wastewater. The start-up experiments consisted of two stages. In the first stage (0～24d) seeded with activated sludge, the butyric acid type-fermentation formed when the initial expanding rate, organic loading rate (OLR), the initial redox potential (ORP) and hydraulic retention time (HRT) were 10%, 10.0 kg COD/(m3·d), - 215 mV and 6.7 h, respectively. At the beginning of the second stage on day 25, the novel hydrogen-producing fermentative bacterial strain B49 (AF481148 in EMBL) were inoculated into the reactor under the condition of OLR 16. 0 kg COD/(m3·d), ORP and HRT about - 139 mV and 6.7 h, respectively, and then the reaction system transformed to ethanol-type fermentation gradually with the increase in OLR. When OLR, ORP and HRT were about 94.3 kg COD/(m3·d), -250 mV and 1.7 h, respectively, the system achieved the maximum hydrogen-producing rate of 282.6 mL H2/L reactor· h and hydrogen percentage of 51%～53% in the biogas.     

Temperature modeling and control of Direct Methanol Fuel Cell based on adaptive neural fuzzy technology

Aiming at on-line controlling of Direct Methanol Fuel Cell （DMFC） stack, an adaptive neural fuzzy inference technology is adopted in the modeling and control of DMFC temperature system. In the modeling process, an Adaptive Neural Fuzzy Inference System （ANFIS） identification model of DMFC stack temperature is developed based on the input-output sampled data, which can avoid the internal complexity of DMFC stack. In the controlling process, with the network model trained well as the reference model of the DMFC control system, a novel fuzzy genetic algorithm is used to regulate the parameters and fuzzy rules of a neural fuzzy controller. In the simulation, compared with the nonlinear Proportional Integral Derivative （PID） and traditional fuzzy algorithm, the improved neural fuzzy controller designed in this paper gets better performance, as demonstrated by the simulation results.