浅谈某高层住宅抗震超限审查分析

根据超限高层建筑工程抗震设防专项审查技术要点要求,结合实际工程设计体会,重点对住宅类超限高层建筑在超限设计过程中的概念设计及超限处理措施等进行了阐述。     

ICA:一种基于混合智能算法的移动Agent路由算法

遗传算法具有快速随机的全局搜索能力,但对于系统中反馈信息利用却无能为力,求精确解效率低.改进型ACS(antcolony system)算法不仅具有分布式并行全局搜索能力,而且在很大程度上避免了候选解陷入局部极小并导致系统收敛到这一伪最优解从而停止进化的可能性,但存在初期信息匮乏,求解速度慢的缺点.为了改善移动Agent系统的迁移性能和执行效率,本文提出一种基于由遗传算法和改进型ACS算法组成的混合智能算法的移动Agent路由算法.该路由算法是汲取两种智能算法的优点,克服各自的缺陷.通过对TAP问题的仿真实验表明该算法取得了较好的效果.     

新型组合梁板连接中板的抗弯性能

在高层建筑结构设计中,由于上部荷载较大或梁的跨度较大,使得梁的截面高度较高,通常会影响建筑的有效层高和建筑的总体高度。为了减小各层梁板结构高度,有效增大各层净高,提出了一种钢箱梁嵌入现浇板的新型组合梁板连接方式。针对这种新型连接方式,对6个钢箱梁混凝土板组合连接区域进行了板承受支座负弯矩的单调加载试验,对比分析了采用钢箱梁嵌入混凝土板组合楼盖与传统栓钉连接组合楼盖中板抵抗支座负弯矩的性能差异;并利用ABAQUS对试件进行了有限元分析。试验与有限元分析结果表明：采用钢箱梁嵌入板连接组合方式,其混凝土板抵抗支座负弯矩的能力与传统连接方式板抵抗支座负弯矩能力没有明显差异。     

案例教学在电子对抗战术课程中的运用

为了提高电子对抗战术课程教学水平,根据案例教学的方法理论,结合电子对抗战术课程特点,阐述了电子对抗战术课程实施案例教学的必要性、教学内容选择原则以及组织方式,提出了在实施过程中应注意的几个问题。这为电子对抗指挥与工程专业本科教学提供了参考。     

Association rule-based feature selection method for Alzheimer’s disease diagnosis

A fundamental challenge that remains unsolved in the neuroimage field is the small sample size problem. Feature selection and extraction, which are based on a limited training set, are likely to display poor generalization performance on new datasets. To address this challenge, a novel voxel selection method based on association rule (AR) mining is proposed for designing a computer aided diagnosis (CAD) system. The proposed method is tested as a tool for the early diagnosis of Alzheimer’s disease (AD). Discriminant brain areas are selected from a single photon emission computed tomography (SPECT) or positron emission tomography (PET) databases by means of an AR mining process. Simultaneously activated brain regions in control subjects that consist of the set of voxels defining the antecedents and consequents of the ARs are selected as input voxels for posterior dimensionality reduction. Feature extraction is defined by a subsequent reduction of the selected voxels using principal component analysis (PCA) or partial least squares (PLS) techniques while classification is performed by a support vector machine (SVM). The proposed method yields an accuracy up to 91.75% (with 89.29% sensitivity and 95.12% specificity) for SPECT and 90% (with 89.33% sensitivity and 90.67% specificity) for PET, thus improving recently developed methods for early diagnosis of AD.     

复合多种微生物在制革污水处理中的应用

经培养、筛选,获取由杆菌、球菌、酵母菌、光合菌、硝化和反硝化等细菌复合成多种微生物.利用这些复合的多种微生物对浓度高的制革废水进行处理,COD、BOD、色度去除率达85%以上,S2-去除率达95%以上,有效地提高了治理效果.     

Hydride precipitation in vanadium thin foils under stress

Hydride precipitation in vanadium has been observed in situ by a high-volatge electron microscope. The effects of external tensile stress and of the specimen foil surface orientation have been examined on the crystallography of hydride precipitation. The habit planes of hydrides precipitated in thin foils are strongly influenced by the presence of the surface, while the effect of stress is only to align the c-axis of the hydride. The choice of the habit plane is such that the undistorted line lies in the foil plane and the habit plane makes a large angle with the foil surface.     

广州轨道交通工程岩土工程勘察的岩土参数取值方法

本文分析了岩土层物理力学参数取值的有关规范及理论,总结了广州轨道交通工程岩土工程勘察岩土参数取值的经验教训,提出了岩土参数取值的方法,对统一广州市轨道交通工程岩土工程勘察中的岩土参数取值的方法与标准有指导意义。     

同位素示踪测井技术在轨道交通工程勘察中的应用

本文介绍了同位素示踪测井技术的有关理论和测试方法,结合该技术在轨道交通工程勘察中地下水参数测试的实际应用进行分析.     

基于变分自编码器潜变量语义提炼的样本生成方法

人工智能的逐步应用对行业的生产效率和技术变革影响显著, 传统行业因样本收集难度大、成本高、涉及个人隐私等原因, 进行深度学习时, 面临着小样本和不平衡数据问题. 现有的样本扩充方法存在着生成效果不能兼顾广泛性和合理性等问题. 为此, 提出一种基于变分自编码器潜变量语义提炼的样本扩充算法, 利用神经网络的权重作为输入特征...