针对云服务器中存在软件老化现象,将造成系统性能衰退与可靠性下降问题,借鉴剩余使用寿命(Remaining useful life,RUL)概念,提出基于支持向量和高斯函数拟合(Support vectors and Gaussian function fitting,SVs-GFF)的老化预测方法.首...针对云服务器中存在软件老化现象,将造成系统性能衰退与可靠性下降问题,借鉴剩余使用寿命(Remaining useful life,RUL)概念,提出基于支持向量和高斯函数拟合(Support vectors and Gaussian function fitting,SVs-GFF)的老化预测方法.首先,提取云服务器老化数据的统计特征指标,并采用支持向量回归(Support vector regression,SVR)对统计特征指标进行数据稀疏化处理,得到支持向量(Support vectors,SVs)序列数据;然后,建立基于密度聚类的高斯函数拟合(Gaussian function fitting,GFF)模型,对不同核函数下的支持向量序列数据进行老化曲线拟合,并采用Fréchet距离优化算法选取最优老化曲线;最后,基于最优老化曲线,评估系统到达老化阈值前的RUL,以预测系统何时发生老化.在OpenStack云服务器4个老化数据集上的实验结果表明,基于RUL和SVs-GFF的云服务器老化预测方法与传统预测方法相比,具有更高的预测精度和更快的收敛速度.展开更多
为了探索环糊精和寡肽的非共价相互作用,一定化学计量比的α-,β-,γ-环糊精(CD)分别和甘氨酸三肽(GGG)、甘氨酰-苯丙氨酰-苯丙氨酸三肽(GFF)在室温下反应达到平衡并用正离子模式质谱检测.实验结果显示GGG,GFF均可以和α-,β-,γ-CD生成...为了探索环糊精和寡肽的非共价相互作用,一定化学计量比的α-,β-,γ-环糊精(CD)分别和甘氨酸三肽(GGG)、甘氨酰-苯丙氨酰-苯丙氨酸三肽(GFF)在室温下反应达到平衡并用正离子模式质谱检测.实验结果显示GGG,GFF均可以和α-,β-,γ-CD生成1∶1配合比的非共价复合物.碰撞诱导解离实验进一步验证了α-,β-,γ-CD与GGG,GFF非共价复合物的形成.质谱滴定法测得的结合常数结果表明环糊精和两种三肽形成非共价复合物的结合强度均按照γ-,β-,α-CD的次序逐渐增大.GGG和α-,β-,γ-CD复合物的结合常数分别为2799.96,2528.73,1697.11 L mol-1,GFF和α-,β-,γ-CD复合物的结合常数分别为2773.94,2134.03,1330.68 L mol-1.对于α-,β-或γ-CD,含有苯基的GFF+CD复合物的结合强度要小于相应的脂肪族的GGG+CD复合物,表明虽然在气相GFF+CD复合物的构象与溶液中的构象有所变化,但是苯基仍然参与和环糊精疏水腔体的键合作用.展开更多
The paper aimed to establish a duplex PCR method for simultaneous detection of Pseudomonas savastanoi pv. Phaseolicola （Psp） and Curtobaeterium /accumfadens pv. Flaccumfaciens （Cff）. Based on the argK gene of Psp ...The paper aimed to establish a duplex PCR method for simultaneous detection of Pseudomonas savastanoi pv. Phaseolicola （Psp） and Curtobaeterium /accumfadens pv. Flaccumfaciens （Cff）. Based on the argK gene of Psp in GenBank, the primers PSPF1/PSPR2 were designed. The duplex PCR assay was dereloped using the combined primers PSPF1/PSPR2 and CflF1/CffR2, which were specific primers for Cff. The reaction conditions were optimized and specificity md sensitivity of the duplex PCR were tested. The expected DNA fragment was specifically amplified from the genomic DNA of Psp and Cff. Specificity was conirmed in the artificially inoculated soybean samples imparted. Thus, the duplex PCR developed in this study could be used for the simultaneous detection of Psp md Cff from imported soybean.展开更多
Determination of ballistic performance of an armor solution is a complicated task and evolved significantly with the application of finite element methods(FEM) in this research field.The traditional armor design studi...Determination of ballistic performance of an armor solution is a complicated task and evolved significantly with the application of finite element methods(FEM) in this research field.The traditional armor design studies performed with FEM requires sophisticated procedures and intensive computational effort,therefore simpler and accurate numerical approaches are always worthwhile to decrease armor development time.This study aims to apply a hybrid method using FEM simulation and artificial neural network(ANN) analysis to approximate ballistic limit thickness for armor steels.To achieve this objective,a predictive model based on the artificial neural networks is developed to determine ballistic resistance of high hardness armor steels against 7.62 mm armor piercing ammunition.In this methodology,the FEM simulations are used to create training cases for Multilayer Perceptron(MLP) three layer networks.In order to validate FE simulation methodology,ballistic shot tests on 20 mm thickness target were performed according to standard Stanag 4569.Afterwards,the successfully trained ANN(s) is used to predict the ballistic limit thickness of 500 HB high hardness steel armor.Results show that even with limited number of data,FEM-ANN approach can be used to predict ballistic penetration depth with adequate accuracy.展开更多
GFFs with less than 0.4 dB peak-to-peak error functions are routinely fabricated using commercially available coating machines by utilizing the natural error compensation mechanism of wavelength variable turning point...GFFs with less than 0.4 dB peak-to-peak error functions are routinely fabricated using commercially available coating machines by utilizing the natural error compensation mechanism of wavelength variable turning point optical monitoring method.展开更多
文摘针对云服务器中存在软件老化现象,将造成系统性能衰退与可靠性下降问题,借鉴剩余使用寿命(Remaining useful life,RUL)概念,提出基于支持向量和高斯函数拟合(Support vectors and Gaussian function fitting,SVs-GFF)的老化预测方法.首先,提取云服务器老化数据的统计特征指标,并采用支持向量回归(Support vector regression,SVR)对统计特征指标进行数据稀疏化处理,得到支持向量(Support vectors,SVs)序列数据;然后,建立基于密度聚类的高斯函数拟合(Gaussian function fitting,GFF)模型,对不同核函数下的支持向量序列数据进行老化曲线拟合,并采用Fréchet距离优化算法选取最优老化曲线;最后,基于最优老化曲线,评估系统到达老化阈值前的RUL,以预测系统何时发生老化.在OpenStack云服务器4个老化数据集上的实验结果表明,基于RUL和SVs-GFF的云服务器老化预测方法与传统预测方法相比,具有更高的预测精度和更快的收敛速度.
文摘为了探索环糊精和寡肽的非共价相互作用,一定化学计量比的α-,β-,γ-环糊精(CD)分别和甘氨酸三肽(GGG)、甘氨酰-苯丙氨酰-苯丙氨酸三肽(GFF)在室温下反应达到平衡并用正离子模式质谱检测.实验结果显示GGG,GFF均可以和α-,β-,γ-CD生成1∶1配合比的非共价复合物.碰撞诱导解离实验进一步验证了α-,β-,γ-CD与GGG,GFF非共价复合物的形成.质谱滴定法测得的结合常数结果表明环糊精和两种三肽形成非共价复合物的结合强度均按照γ-,β-,α-CD的次序逐渐增大.GGG和α-,β-,γ-CD复合物的结合常数分别为2799.96,2528.73,1697.11 L mol-1,GFF和α-,β-,γ-CD复合物的结合常数分别为2773.94,2134.03,1330.68 L mol-1.对于α-,β-或γ-CD,含有苯基的GFF+CD复合物的结合强度要小于相应的脂肪族的GGG+CD复合物,表明虽然在气相GFF+CD复合物的构象与溶液中的构象有所变化,但是苯基仍然参与和环糊精疏水腔体的键合作用.
基金Supported by Science and Technology Project of AQSIQ(2013IK277)National Rice Industry System Development Program
文摘The paper aimed to establish a duplex PCR method for simultaneous detection of Pseudomonas savastanoi pv. Phaseolicola （Psp） and Curtobaeterium /accumfadens pv. Flaccumfaciens （Cff）. Based on the argK gene of Psp in GenBank, the primers PSPF1/PSPR2 were designed. The duplex PCR assay was dereloped using the combined primers PSPF1/PSPR2 and CflF1/CffR2, which were specific primers for Cff. The reaction conditions were optimized and specificity md sensitivity of the duplex PCR were tested. The expected DNA fragment was specifically amplified from the genomic DNA of Psp and Cff. Specificity was conirmed in the artificially inoculated soybean samples imparted. Thus, the duplex PCR developed in this study could be used for the simultaneous detection of Psp md Cff from imported soybean.
基金Otokar Otomotiv ve Savunma Sanayi A.S. for the financial support
文摘Determination of ballistic performance of an armor solution is a complicated task and evolved significantly with the application of finite element methods(FEM) in this research field.The traditional armor design studies performed with FEM requires sophisticated procedures and intensive computational effort,therefore simpler and accurate numerical approaches are always worthwhile to decrease armor development time.This study aims to apply a hybrid method using FEM simulation and artificial neural network(ANN) analysis to approximate ballistic limit thickness for armor steels.To achieve this objective,a predictive model based on the artificial neural networks is developed to determine ballistic resistance of high hardness armor steels against 7.62 mm armor piercing ammunition.In this methodology,the FEM simulations are used to create training cases for Multilayer Perceptron(MLP) three layer networks.In order to validate FE simulation methodology,ballistic shot tests on 20 mm thickness target were performed according to standard Stanag 4569.Afterwards,the successfully trained ANN(s) is used to predict the ballistic limit thickness of 500 HB high hardness steel armor.Results show that even with limited number of data,FEM-ANN approach can be used to predict ballistic penetration depth with adequate accuracy.
文摘GFFs with less than 0.4 dB peak-to-peak error functions are routinely fabricated using commercially available coating machines by utilizing the natural error compensation mechanism of wavelength variable turning point optical monitoring method.
