基于工业以太网的动态通信平滑过滤器研究

针对工业控制系统的特点,在不改变以太网协议的条件下,采用一种新的动态通信平滑过滤器来控制网络负荷以满足控制系统的实时通信要求.研究表明该动态通信平滑过滤器不仅可以为非实时数据提供合理的网络吞吐率,并且可以显著地控制实时数据传输的超时比率,其性能明显优于静态通信平滑过滤器.     

Analysis of Influencing Factors on NOx emission in Gas-Fired Heating and Hot Water Combi-Boilers Based on Orthogonal Method

In order to determine the sensitivity of influencing factors on NOx emission in gas-fired heating and hot water eombi-boilers,the orthogonal method was adopted ...     

Glioblastoma Extracellular Vesicle-Specific Peptides Inhibit EV-Induced Neuronal Cytotoxicity

WHO Grade 4 IDH-wild type astrocytoma (GBM) is the deadliest brain tumor with a poor prognosis. Meningioma (MMA) is a more common “benign” central nervous system tumor but with significant recurrence rates. There is an urgent need for brain tumor biomarkers for early diagnosis and effective treatment options. Extracellular vesicles (EVs) are tiny membrane-enclosed vesicles that play essential functions in cell-to-cell communications among tumor cells. We aimed to identify epitopes of brain tumor EVs by phage peptide libraries. EVs from GBM plasma, MMA plasma, or brain tumor cell lines were used to screen phage-displayed random peptide libraries to identify high-affinity peptides. We purified EVs from three GBM plasma pools (23 patients), one MMA pool (10 patients), and four brain tumor cell lines. We identified a total of 21 high-affinity phage peptides (12 unique) specific to brain tumor EVs. The peptides shared high sequence homologies among those selected by the same EVs. Dose–response ELISA demonstrated that phage peptides were specific to brain tumor EVs compared to controls. Peptide affinity purification identified unique brain tumor EV subpopulations. Significantly, GBM EV peptides inhibit brain tumor EV-induced complement-dependent cytotoxicity (necrosis) in neurons. We conclude that phage display technology could identify specific peptides to isolate and characterize tumor EVs.     

烧结粉尘采用机械输送与气力输送的比较

介绍了烧结厂输灰采用机械输送及气力输送两种方式各自的特点,以实际工程为例,通过技术经济比较可知：气力输送方式在技术上具有较大的优越性,而运行费用较高,但其综合效益要远优于机械输送,在烧结领域值得大力推广。     

STATCOM的控制方法研究

文章在STATCOM基本原理与模型的基础上,理论分析了STATCOM的两类控制方法:电流间接控制和电流直接控制,并且对这两种方法进行了基于TMS320F240DSP芯片的编程实现,从理论上得出不同控制方法的优缺点.     

Evaluation of the passivation effect and the first-principles calculation on surface termination of germanium detector

The point-contact high-purity germanium detector (HPGe) has the advantages of low background, low energy threshold, and high energy resolution and can be applie...     

XYZ系统的设计思想

§1.引 言 本文系根据作者应邀在1989年6月14日日本情报产业协会(JISA)与软件工程学会(SEA)联合举办的1989年软件年会(Software Symposium’89)上所作的题为“XYZ环境”基调讲演中部分内容整理扩充而成。因该会议论文集中所收入的介绍XYZ系统文章未写入这部分内容,故特写成本文作为的补充。 XYZ系统是一基于时序逻辑且适应多种程序设计方式的CASE环境。它所适应的程序包括过程性的,抽象描述型的,或产生式规则型的;串型的或并发的;常见高级语言型的、面向多种对象的、函数式的或逻辑的;文本的或图形的,后者又可以是数据流型的或     

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.