喷丸加工的工艺特性及参数控制研究

提出了喷丸加工新算法,该算法是模拟喷丸过程中零件表面层的塑性变化,从而控制能量参数。在喷丸加工时,表面层塑性变形积聚了大量压缩能量,通过进行能量参数优化,得到零件的最大疲劳强度并绘出曲率参数曲线。     

基于设计模式的软件重用

针对软件重用。提出应用设计模式来记录软件设计知识。这可以使软件重用从构架重用提高到软件开发各阶段知识的重用。此外结合通用仓库／销售系统的实际对设计模式的用法进行了讨论。     

基于K-means聚类和LVQ神经网络的OLED缺陷像素识别

提出改进的K-means聚类分割和LVQ神经网络分类的方法，用于有机发光二极管显示面板喷墨打印制程中缺陷像素的识别。首先采用改进的K-means聚类算法对预处理后的打印像素进行分割，然后采用连通域水平矩形确定每一个打印像素的坐标及几何特征，再通过灰度共生矩阵提取其纹理特征，最后通过LVQ神经网络对所述特征进行分类，完成缺陷像素的标记及分类统计。结果表明，本文算法的识别率明显优于其他常用分类识别算法，平均缺陷检测率为100%，分类准确率达到98.9%，单像素检测时间为8.3 ms。     

Effects of Optimized Operating Parameters on Combustion Characteristics and NO_x Emissions of a Burner based on Orthogonal Analysis

To optimize the structure of the burner,improve the combustion performance,and reduce the emission of NO_x,a self-circulating low NO_x combustion technology was used to design a new type of flue gas self-circulating low NO_x burner.Based on previous research on the numerical model of combustion and the composition of mixed gas on combustion and NO_x emissions,the effect of various factors on the ejection coefficient of the flue gas self-circulating structure was analyzed using the orthogonal test method,and the burner operating parameters,such as preheating temperature and excess air coefficient,were deeply studied through the three-dimensional finite element numerical model in this paper.The results show that the diameter ratio of the nozzle and the length of the cylindrical section of the flue gas self-circulating structure have great influence on its ejection and mixing ability.The optimal ejection coefficient was 0.4829.Overall,the amount of NO_x emissions greatly increased from 6.23×10~(-6) (volume fraction) at the preheating temperature 973 K to 3.5×10~(-3) at preheating temperature 1573 K.When the excess air coefficient decreased from 1.2 to 1,the maximum combustion temperature decreased from 2036.3 K to 1954.22 K,and the NO_x emissions decreased from 352.29×10~(-6) to 159.73×10~(-6).     

中国电子线市场现状与发展

电子线作为电子信息产品的重要组成部件,被誉为电子电气类产品的"血管"和"神经".得益于电子信息产业的迅猛发展,我国电子线行业也以年均45%-50%的速度增长.未来电子线的将朝着"细、薄、安全、环保、高速传输"的方向发展.     

多相同步电动机中压变频调速装置系统集成

电力电子系统集成对于中大功率电力电子装置而言是要实现其系统结构和部件的标准化.作者以多相同步电动机中压变频调速装置为研究背景,探索了复杂大电力电子装置中的系统集成问题.作者对大电力电子装置进行模块化研究,首先分析如何选择主电路的一级标准模块,如三电平逆变单元的一级标准模块为一相NPC三电平桥臂;然后又分析了如何划分系统的二级标准模块,如整流模块、逆变模块、励磁模块等;随后作者又以多相同步电动机调速系统为例对控制系统进行分层研究,设计了各控制管理层的任务及各层问的信息流通信方式.利用这些研究成果,作者设计、制作了模块化的同步电机调速装置,试验取得了成功.     

Crosstalk between Growth and Osmoregulation of GHRH-SST-GH-IGF Axis in Triploid Rainbow Trout (Oncorhynchus mykiss)

Smolting is an important development stage of salmonid, and an energy trade-off occurs between osmotic regulation and growth during smolting in rainbow trout (Oncorhynchus mykiss). Growth hormone releasing hormone, somatostatin, growth hormone and insulin-like growth factor (GHRH-SST-GH-IGF) axis exhibit pleiotropic effects in regulating growth and osmotic adaptation. Due to salmonid specific genome duplication, increased paralogs are identified in the ghrh-sst-gh-igf axis, however, their physiology in modulating osmoregulation has yet to be investigated. In this study, seven sst genes (sst1a, sst1b, sst2, sst3a, sst3b, sst5, sst6) were identified in trout. We further investigated the ghrh-sst-gh-igf axis of diploid and triploid trout in response to seawater challenge. Kidney sst (sst1b, sst2, sst5) and sstr (sstr1b1, sstr5a, sstr5b) expressions were changed (more than 2-fold increase (except for sstr5a with 1.99-fold increase) or less than 0.5-fold decrease) due to osmoregulation, suggesting a pleiotropic physiology of SSTs in modulating growth and smoltification. Triploid trout showed significantly down-regulated brain sstr1b1 and igfbp2a1 (p < 0.05), while diploid trout showed up-regulated brain igfbp1a1 (~2.61-fold, p = 0.057) and igfbp2a subtypes (~1.38-fold, p < 0.05), suggesting triploid trout exhibited a better acclimation to the seawater environment. The triploid trout showed up-regulated kidney igfbp5a subtypes (~6.62 and 7.25-fold, p = 0.099 and 0.078) and significantly down-regulated igfbp5b2 (~0.37-fold, p < 0.05), showing a conserved physiology of teleost IGFBP5a in regulating osmoregulation. The IGFBP6 subtypes are involved in energy and nutritional regulation. Distinctive igfbp6 subtypes patterns (p < 0.05) potentially indicated trout triggered energy redistribution in brain and kidney during osmoregulatory regulation. In conclusion, we showed that the GHRH-SST-GH-IGF axis exhibited pleiotropic effects in regulating growth and osmoregulatory regulation during trout smolting, which might provide new insights into seawater aquaculture of salmonid species.     

LINGO在环境经济负荷调度中的应用

介绍了LINGO软件优化方法以及它在环境经济负荷调度问题上的应用.结合一个含有3个电力生产单元的燃煤电力系统模型验证了该方法的可行性和有效性.LINGO为环境经济负荷调度问题提供了一个新的方法,具有很好的应用前景.     

一种生长型神经网络的倒立摆控制方案

针对倒立摆系统,提出了在结构上可生长的神经网络控制方案。网络利用细胞生长结构算法,在工作域中实现对状态变量的模式分类,并通过新神经元的插入实现网络规模的生长演化。在输出域中针对倒立摆控制任务采用强化Hebb学习机制,实现不同的神经元以最佳方式响应不同性质的信号刺激。仿真表明,通过神经网络自身的发育,该方案有效控制了倒立摆系统。     

QoS-aware placement of stream processing service

Many emerging online stream processing services require the consideration of quality of service (QoS), which is highly dependent on the placement of services at various hosts. This paper investigates the QoS-aware placement problems of stream processing services under different contexts. On condition that the client demands are stable, the QoS-aware placement problem aiming to minimize the cost when servers are CPU-uncapacitated, is equivalent to the set cover problem, and can be solved by a greedy algorithm with approximation factor O(log?n), where n is the number of clients. However, when CPU capacity constraints on servers are taken into account, the QoS-aware placement problem cannot be approximated unless P=NP. Therefore, we propose two heuristic algorithms: (1) ISCA (Iterated Set Cover-based Algorithm) and (2) KBA (Knapsack-Based Algorithm). We also consider the placement problem of client demands increasing over time. Two objectives, called extension factor and system lifetime, are proposed for demand increment-blind and increment-aware models respectively. Both of them can be solved by extending ISCA and KBA. The experimental results show that ISCA and KBA have distinct effects on different demand sizes. ISCA is more efficient when client demands are relatively small, while KBA performs better for larger demands.