火电厂用中水水质问题及改善措施的分析

针对火电厂用于循环冷却水和锅炉补给水的中水水质不稳定的问题,介绍通过改进污水处理阶段的工艺和深度处理必电厂初级阶段中水以提高中水水质的措施,对节能减排、保护环境吴有重要意义.     

计及氢能多元利用特性的电氢耦合系统容量优化配置方法

氢能作为清洁能源,可与风能等可再生能源结合,为系统提供低碳运行方案。首先,在传统电氢耦合系统的基础上,引入天然气及碳捕集系统,设计了计及氢能多元利用特性的电氢能源系统优化配置模型。然后,建立了将氢能零污染发电和甲烷化两种应用途径相结合的系统模型,以系统等年值成本最小为目标函数,通过改进粒子群算法对构建模型进行寻优求解,得到了系统各设备最优容量配置方案。最后,通过算例对比,证明了优化方案在成本最低时,可支配碳配额增加,具有环保性。     

Proteomic Biomarkers of the Apnea Hypopnea Index and Obstructive Sleep Apnea: Insights into the Pathophysiology of Presence,Severity, and Treatment Response

Obstructive sleep apnea (OSA), a disease associated with excessive sleepiness and increased cardiovascular risk, affects an estimated 1 billion people worldwide. The present study examined proteomic biomarkers indicative of presence, severity, and treatment response in OSA. Participants (n = 1391) of the Stanford Technology Analytics and Genomics in Sleep study had blood collected and completed an overnight polysomnography for scoring the apnea–hypopnea index (AHI). A highly multiplexed aptamer-based array (SomaScan) was used to quantify 5000 proteins in all plasma samples. Two separate intervention-based cohorts with sleep apnea (n = 41) provided samples pre- and post-continuous/positive airway pressure (CPAP/PAP). Multivariate analyses identified 84 proteins (47 positively, 37 negatively) associated with AHI after correction for multiple testing. Of the top 15 features from a machine learning classifier for AHI ≥ 15 vs. AHI < 15 (Area Under the Curve (AUC) = 0.74), 8 were significant markers of both AHI and OSA from multivariate analyses. Exploration of pre- and post-intervention analysis identified 5 of the 84 proteins to be significantly decreased following CPAP/PAP treatment, with pathways involving endothelial function, blood coagulation, and inflammatory response. The present study identified PAI-1, tPA, and sE-Selectin as key biomarkers and suggests that endothelial dysfunction and increased coagulopathy are important consequences of OSA, which may explain the association with cardiovascular disease and stroke.     

一种基于SoC的高精度电子血压检测仪

一种基于单片集成系统(SoC)的高精度电子血压检测仪。该系统采用基于Σ-Δ型A/D转换器的ADμC848作为核心处理器,并应用形态滤波等信号处理算法,简化了电路的设计和实现,提高了系统的可靠性和稳定性。     

基于模糊PI控制的无刷直流电机调速系统仿真

针对传统PI控制方法在对稀土永磁无刷直流电动机进行控制时鲁棒性差、精度低等缺点,提出了一种参数自整定模糊PI控制方法,即采用传统的PI控制与模糊控制相结合的新型控制方法。将方法应用于永磁无刷直流电动机双闭环调速系统的转速闭环中,并利用MATLAB软件中的模糊控制工具箱进行了系统的辅助设计与仿真。仿真结果表明,参数自整定模糊PI控制方法改善了电机的动静态性能,系统的鲁棒性和精度也大大提高。     

基于神经网络的杂草图像分割算法

在自动除草系统中优化杂草图像分割算法是降低识别误差的有效途径,为此提出了一种基于神经网络的分割算法。首先由训练样本统计出植被和背景在RGB颜色空间的分布概率,接着通过Bayes理论得出最优分割曲面训练BP神经网络,再通过BP神经网络将各种颜色分为植被和背景两类,并据此分割杂草图像。与其他三种杂草图像分割算法比较,新方法以颜色代替像素点为研究对象并据此构造最优分割曲面从而减小了分割误差并具备较好的泛化能力。     

Ex-post efficient resource allocation for Self-organizing Cloud

Self-organizing Cloud is a scalable model to provide powerful computability with distributed computers. The resource allocation on it is very challenging since it not only involves various types of divisible resources but needs to cope with social competitions. We propose a novel resource allocation scheme with three features on ex-post efficiency. (1) Ex-post win–win effect: each participant (consumers and suppliers) should always feel satisfied with their ex-post payoffs. (2) Incentive compatibility: we can prove each rational participant gets its optimal payoff iff their resource demands and expected prices are truthfully declared. (3) Ex-post maximized efficiency: more powerful resources should be consumed with higher likelihood, such that the whole system runs quite efficiently with maximized resource utilization. Our simulation shows the approach significantly improves resource suppliers’ incomes by 20% compared to their expectations. Meanwhile, we can guarantee consumers’ payments below their budgets, with no any degradation of task execution performance.     

小波域图像加密的模运算实现

将一种模运算运用于小波域来进行图像加密,同时利用混沌映射的参数敏感性和伪随机性对小波变换后的系数进行加密处理,实现图像信息的高强度加密,来确保基于网络图像信息的安全。采用的模运算不仅具有像Ａrnold等变换对图像进行拉伸和折叠的作用,而且可以在很大程度上节约计算时间。仿真实验结果表明这种模运算映射与混沌序列相结合的方法运用于小波域加密有很好的效果,加密强度高,保密性强,计算时间短,恢复图像与原图像的一致性良好。     

基于状态预测的网格工作流资源选择策略

考虑到网格中存在着大量功能相同但可靠性各不相同的资源,针对执行时间限制严格类型的网格工作流提出了一种新的基于状态预"311的资源选择策略.该策略以工作流DAG图中的关键路径上的前驱任务资源收到输入转移数据而被触发执行的时刻作为预测时刻,利用Markov过程计算出后继任务的各候选资源在前驱任务结束时刻处于"闲状态"的概率大小,然后选择这一概率较大的资源作为此后继任务的执行资源,从而了保证了工作流关键路径任务执行时问的要求.最后通过实验验证了该策略的有效性.     

基于特征映射的互联网频繁模式识别算法

提出了一种基于特征映射的互联网频繁模式识别算法,采用特征映射与聚类相结合的方法,解决了SPADE算法不能反映类信息的问题与大量数据聚类时的效率低下,同时,提出了比较合理的频繁模式定量评价体系,从而完成了识别系统的整体设计,对于处理互联网海量用户数据有着相当重要的作用,同时,可以根据此算法提供个性化推荐等服务来提升用户体验.