Modeling of Temperature–Frequency Correlation Using Combined Principal Component Analysis and Support Vector Regression Technique

A good understanding of environmental effects on structural modal properties is essential for reliable performance of vibration-based damage diagnosis methods. In this paper, a method of combining principal component analysis (PCA) and support vector regression (SVR) technique is proposed for modeling temperature-caused variability of modal frequencies for structures instrumented with long-term monitoring systems. PCA is first applied to extract principal components from the measured temperatures for dimensionality reduction. The predominant feature vectors in conjunction with the measured modal frequencies are then fed into a support vector algorithm to formulate regression models that may take into account thermal inertia effect. The research is focused on proper selection of the hyperparameters to obtain SVR models with good generalization performance. A grid search method with cross validation and a heuristic method are utilized for determining the optimal values of SVR hyperparameters. The proposed method is compared with the method directly using measurement data to train SVR models and the multivariate linear regression (MLR) method through the use of long-term measurement data from a cable-stayed bridge. It is shown that PCA-compressed features make the training and validation of SVR models more efficient in both model accuracy and computational costs, and the formulated SVR model performs much better than the MLR model in generalization performance. When continuously measured data is available, the SVR model formulated taking into account thermal inertia effect can achieve more accurate prediction than that without considering thermal inertia effect.     

Resource contention in shared-memory multiprocessors: A parameterized performance degradation model

A standard metric conventionally employed to compare the performance of different multiprocessor systems is speedup. Although providing a measure of the improvement in execution speed achievable on a system, this metric does not yield any insight into the factors responsible for limiting the potential improvement in speed. This paper studies the performance degradation in shared-memory multiprocessors as a result of contention for shared-memory resources. A replicate workload framework with a flexible mechanism for workload specification is proposed for measuring performance. Two normalized performance metrics—efficiency and overhead factor—are introduced to quantify the factors limiting performance and facilitate comparison across architectures. Finally, the proposed model is employed to measure and compare the performance of three contemporary shared-memory systems, with special emphasis on the newly released BBN Butterfly-II (TC2000), currently undergoing Beta test.     

一种性能可调的新型节能材料－电致变色膜

本文介绍了一种性能可调的新型节能材料—电致色薄膜，描述了以其为核心的全固态灵巧窗结构、工作原理和光学调节性能，回顾了电致色材料、离子存储层和固态锂离子导体及其性质，并展望了这种新型节能材料的应用。     

用保形样条方法求解非定常对流扩散方程

在欧拉-拉格朗日分裂方法的基础上,本文发展了一种固定网格上的欧拉-拉格朗日分裂方法.保形样条方法(SPSM)被用来解决倒特征线插值问题.通过求解几个有精确解的例子,说明SPSM方法的解是单调无振荡的,并且数值耗散也是比较小的.     

Implementation of secure digital communication by hyperchaoticsynchronisation

By active-passive-decomposition synchronisation, the application of the one-way coupled ring map lattice hyperchaotic system in secure digital speech communication is demonstrated. Synchronisation guarantees strong security and recovery without error     

利用马铃薯淀粉下脚液生产饮料工艺的研究

本实验尝试从马铃薯中提取蛋白质等成份，并适当添加姜汁，制成一种新型饮料，对饮料生产的工艺条件作了详细探讨，成功地解决了马铃薯褐变及沉淀等问题，确定了最佳配方及工艺。     

爆破条件对爆破震动信号分析中小波包时频特征的影响

非平稳信号的小波包分析是在小波变换基础上发展起来的 ,它对小波分析中没有细分的高频部分进一步分解 ,从而能够对信号局部信息进行更为精细的掌握。爆破条件是影响爆破震动时频特征分布的主要因素之一。本研究中 ,针对在不同段药量、不同微差间隔时间及近似相同的其它条件下产生的爆破震动信号 ,运用小波包分析方法对其进行了时频分析 ,主要探讨了段药量、段微差间隔时间对爆破震动时频分布的影响规律。段药量对爆破震动波形时频特征的影响主要体现在各层小波包主振频带内的细节信号峰值质点振速方面 ,各细节信号的峰值质点振速随段药量增加而增大 ,但主振频带分布保持基本的一致性 ,同一主振频带下小波包细节信号的阻尼比也趋于一致 ;段微差时间间隔对爆破震动时频特征的影响主要表现在 :延长各主振频带小波包细节信号的振动持时 ,不同微差单段波形的叠加增加了主振频带个数 (优势频率个数 )并使各频带内的优势频率值有微弱增大的趋势     

苯并口恶嗪-环氧化合物-胺类催化剂体系开环聚合反应的研究

采用TLC，GPC，1H－NMR及IR等分析方法，对苯并恶嗪－环氧化合物－胺类催化剂体系的聚合反应进行了研究，表征了产物结构，并探讨了聚合反应机理，结果表明，苯并恶唪－环氧化合物体系在胺类催化剂如苄胺，咪唑的作用下，能发生开环聚合反应，生成低分子量的聚合物。     

网壳结构内扩安装法施工内力特性分析

本文针对目前国内常用的网壳内扩安装法，全过程跟踪分析了构件在用内扩法安装期间的施工内力特性及其变化规律，得出了网壳结构设计计算必须考虑施工内力的影响等重要结论。