MORM: A Multi-objective Optimized Replication Management strategy for cloud storage cluster

Effective data management is an important issue for a large-scale distributed environment such as data cloud. This can be achieved by using file replication, which efficiently reduces file service time and access latency, increases file availability and improves system load balancing. However, replication entails various costs such as storage and energy consumption for holding replicas. This article proposes a multi-objective offline optimization approach for replica management, in which we view the various factors influencing replication decisions such as mean file unavailability, mean service time, load variance, energy consumption and mean access latency as five objectives. It makes decisions of replication factor and replication layout with an improved artificial immune algorithm that evolves a set of solution candidates through clone, mutation and selection processes. The proposed algorithm named Multi-objective Optimized Replication Management (MORM) seeks the near optimal solutions by balancing the trade-offs among the five optimization objectives. The article reports a series of experiments that show the effectiveness of the MORM. Experimental results conclusively demonstrate that our MORM is energy effective and outperforms default replication management of HDFS (Hadoop Distributed File System) and MOE (Multi-objective Evolutionary) algorithm in terms of performance and load balancing for large-scale cloud storage cluster.     

RFID技术在国防工程安全管理系统中的应用

结合国防工程安全管理的现状和建设信息化部队的要求,考虑到现有的安全管理模式对人员和装备的精确化管理程度低和实时性差的特点,采用RFID技术、超声波技术和现场总线技术,设计了国防工程安全管理系统.在介绍了系统架构的基础上,详细阐述了系统的软硬件设计,并对管理系统的软件进行了模块和功能的分析.试验结果表明,该系统能实时显示国防工程中的人员和装备信息,在提高国防工程安全管理的精确化水平方面具有广阔的应用前景.     

一种瓦斯涌出量系统预测辨识模型的研究

针对煤与瓦斯突出灾害中瓦斯涌出量的辨识预测问题,结合采煤工作面瓦斯涌出量系统的现场实际特点,提出了混沌免疫遗传优化算法(CIGOA)与Elman神经网络相结合的耦合算法(CIGOA-ENN)。利用GIGOA的全局寻优能力替代梯度下降法,以克服Elman神经网络固有的缺陷。并根据输入的数据,构造基于CIGOA和ENN耦合算法的瓦斯涌出量系统辨识预测模型。利用矿区采集的现场监测数据进行仿真预测,实验表明该预测模型与BPNN,GA-ENN等神经网络预测模型相比,其收敛速度更快、收敛精度更高、鲁棒性更强,为解决煤矿瓦斯涌出量的预测问题提供了一个行之有效的方法。     

基于模糊免疫PID的左心室辅助装置控制系统仿真

为了提高左心室辅助装置运行的稳定性,研究了模糊免疫PID控制在左心室辅助装置控制系统中的应用.首先,分析了辅助装置的工作原理及其系统建模;其次,对模糊免疫PID控制算法进行分析;最后,进行了基于模糊免疫PID左心室辅助装置控制的仿真.仿真结果表明,模糊免疫PID控制技术比常规PID控制具有更好的控制稳定性.     

人工免疫优化的汽车散热器功能设计

应用公理设计原理设计车用散热器时,耦合功能的存在是一个普遍问题。国内外学者提出使用人工免疫方法求解耦合功能集。针对这些算法在度量抗体优异性时存在的不足,提出了新的度量指标：耦合功能集聚度,并给出相应公式,同时在抗体生成算法中引入基因优选的方法。经在银轮股份进行车用机油散热器设计仿真实验,表明新的算法具有较高的效率。     

Health benefits of CLA – lessons from pig models in biomedical research

The objective of this review is to highlight the use of pig models for investigating safety, efficacy and the mechanisms of action of conjugated linoleic acid (CLA). Although CLA elicits positive effects in animal models and in vitro systems, a consistent concern in terms of translational research is that the health benefits observed by using these model systems cannot be extrapolated directly into humans. Conversely, the similarities between pigs and humans make the pig an ideal model for examining the health benefits of dietary supplements, functional foods and nutraceuticals. We have developed pig models of viral and bacterial infection to examine the preventive role of dietary CLA supplementation on virally induced immunosuppression and gut health, respectively. Results from these studies indicate that CLA significantly enhances the immune function while limiting the catabolic effects of uncontrolled immune and inflammatory responses. The scientific findings in pig models and human clinical trials demonstrate that CLA modulates immune responses in pigs and humans. Pig models of immunomodulation represent significant improvements over other animal models and in vitro systems because they mimic more closely the compartmentalization of the human immune system and the clinical presentation of human infectious, immune and inflammatory diseases.     

一种权重融合模型的物联网频谱分配方案及其免疫实现

采用认知无线电技术, 设计了一种空闲频谱资源选择排序方法。在进行频谱选择时, 提出了一种无偏好信息的主客观权重融合方法, 提高权重设置的合理性, 并将求解权重转换为一个最优化问题, 通过免疫优化算法进行求解。实验结果表明, 该算法可以有效选择满足物联网节点传输需求的频谱, 并具有较高的网络吞吐量。     

浅谈蜜罐技术在网络安全中的应用简

作为一种主动防御的网络安全技术,蜜罐技术已经成为诱骗攻击者非常有效实用的方法。本文从蜜罐技术的定义、分类、发展情况以及主要技术等方面进行比较系统的解释,最后介绍在网络安全中的应用。     

Flavonoid pigments in chalkhill blue (Lysandra coridon Poda) and other lycaenid butterflies

Nine flavonoids, namely, kaempferol, kaempferol 7-rharanoside, kaempferol 3-rhamnoside, kaempferol 3-glucoside, kaempferol 3-glucoside, 7-rhamnoside, quercetin 3-glucoside, quercetin 3,7-diglucoside, isorhamnetin 3-glucoside, and isorhamnetin 3,7-diglucoside, have been identified in the body and wings of the chalkhill blue butterflyLysandra coridon Poda. Flavonoids have also been found in 15 of a further 17 lycaenid species examined. Analysis of the two-dimensional paper chromatographic flavonoid patterns and aglycone results has shown that the flavonoid content ofL. coridon and the other lycaenids is dependent on the flavonoid content of the larval diet. Differences in the flavonoid patterns ofL. coridon and its leguminous larval food plantsHippocrepis comosa, Anthyllis vulneraria, andLotus corniculatus, indicate that the ingested flavonoids are metabolized byL. coridon or its gut flora before sequestration. Despite the presence of fiavones, glycoflavones, and isoflavones in the larval food plant species, only flavonols are sequestered by the lycaenid species examined. The relationship between lycaenid butterflies and their larval food plants, and the possible role(s) of flavonoids in lycaenids has been discussed. Interactions between ants, plants, flavonoids, and myrmecophilous lycaenids have also been considered.     

Plant Cyanogenesis of <Emphasis Type="Italic">Phaseolus lunatus</Emphasis> and its Relevance for Herbivore–Plant Interaction: The Importance of Quantitative Data

Quantitative experimental results on the antiherbivorous effect of cyanogenesis are rare. In our analyses, we distinguished between the total amount of cyanide-containing compounds stored in a given tissue [cyanogenic potential (HCNp)] and the capacity for release of HCN per unit time (HCNc) from these cyanogenic precursors as a reaction to herbivory. We analyzed the impact of these cyanogenic features on herbivorous insects using different accessions of lima beans (Phaseolus lunatus L.) with different cyanogenic characteristics in their leaves and fourth instars of the generalist herbivore Schistocerca gregaria Forskål (Orthoptera, Acrididae). Young leaves exhibit a higher HCNp and HCNc than mature leaves. This ontogenetic variability of cyanogenesis was valid for all accessions studied. In no-choice bioassays, feeding of S. gregaria was reduced on high cyanogenic lima beans compared with low cyanogenic beans. A HCNp of about 15 μmol cyanide/g leaf (fresh weight) with a corresponding HCNc of about 1 μmol HCN released from leaf material within the first 10 min after complete tissue disintegration appears to be a threshold at which the first repellent effects on S. gregaria were observed. The repellent effect of cyanogenesis increased above these thresholds of HCNp and HCNc. No repellent action of cyanogenesis was observed on plants with lower HCNp and HCNc. These low cyanogenic accessions of P. lunatus were consumed extensively—with dramatic consequences for the herbivore. After consumption, locusts showed severe symptoms of intoxication. Choice assays confirmed the feeding preference of locusts for low over high cyanogenic leaf material of P. lunatus. The bioassays revealed total losses of HCN between 90 and 99% related to the estimated amount of ingested cyanide-containing compounds by the locusts. This general finding was independent of the cyanogenic status (high or low) of the leaf material.