复杂环境下高危双曲线冷却塔爆破拆除

针对在复杂环境下一座高86 m的冷却塔,其部分塔壁、圈梁和人字柱已被机械拆除损毁的特殊结构特点,运用定向爆破技术拆除高危冷却塔。在确保结构稳定和不造成二次破坏的情况下,利用机械开设高减荷槽、定位窗和泄压窗等措施,以损毁部分塔壁作为爆破切口为基础,对爆破切口内的人字柱、圈梁进行爆破;运用ANSYS/LS-DYNA建立分离式共节点模型,对其倒塌过程进行数值模拟,进而对爆破方案进行验证并为其优化提供参考。     

微镁处理对铸态低碳钢中夹杂物和组织的影响

在实验室条件下,对低碳钢进行微镁处理,以SEM-EDS和金相显微镜为表征手段,通过与空白样的对比,研究钢中夹杂物、组织的演变过程。结果表明:微镁处理使得夹杂物从Al_2O_3转变为Mg-Al-O复合夹杂物,并且其尺寸明显细化,密度显著增加。组织分析表明:Mg-Al复合夹杂物能够诱导晶内针状铁素体形核,并且在这些夹杂物附近的铁基体中存在贫锰区。理论分析认为这促进了晶内针状铁素体的形核,结晶核心起源于复合夹杂物中镁铝尖晶石的镁空位。     

浅析小麦种植标准综合体构建

本文采用综合标准化的原理和方法,对标准化对象和目标进行了分析,阐述了影响小麦产量和质量的因素,确定了相关要素图,构建了小麦种植标准综合体结构框架.本研究可以为推进综合标准化方法的应用提供参考,有助于发挥标准化对小麦高产优质的技术支撑作用.     

Light‐Activated,Multi‐Semiconductor Hybrid Microswimmers

Using a dynamic fabrication process, hybrid, photoactivated microswimmers made from two different semiconductors, titanium dioxide (TiO₂) and cuprous oxide (Cu₂O) are developed, where each material occupies a distinct portion of the multiconstituent particles. Structured light‐activated microswimmers made from only TiO₂ or Cu₂O are observed to be driven in hydrogen peroxide and water most vigorously under UV or blue light, respectively, whereas hybrid structures made from both of these materials exhibit wavelength‐dependent modes of motion due to the disparate responses of each photocatalyst. It is also found that the hybrid particles are activated in water alone, a behavior which is not observed in those made from a single semiconductor, and thus, the system may open up a new class of fuel‐free photoactive colloids that take advantage of semiconductor heterojunctions. The TiO₂/Cu₂O hybrid microswimmer presented here is but an example of a broader method for inducing different modes of motion in a single light‐activated particle, which is not limited to the specific geometries and materials presented in this study.     

45钢表面Ni/WC复合熔覆层的形成机制

采用真空熔覆技术在45钢表面制备Ni +WC复合熔覆层并进行阶段性取样,研究镍基复合涂层的形成机制。结果表明：在45钢表面生成与基体冶金熔合、WC硬质颗粒分布均匀的Ni基复合熔覆层。整个熔覆层由4 mm厚的复合层、1 mm厚的过渡层、20 μm厚的扩散熔合区以及250 μm厚的扩散影响区组成。复合层区由WC和分解形成的富W复相碳化物包围在Ni颗粒周围组成;复合熔覆层的主要组成相有γ-Ni固溶体、Cr₇C₃、Ni_2.9Cr_0.7Fe_0.36、Cr₂₃C₆、Ni₃Fe、Ni₃Si、Ni₃B、W₂C以及C等;真空熔覆过程包括：镍基合金颗粒达到熔点(900℃)前升温阶段颗粒间微烧结颈的形成、升温达到熔点(1020℃)开始的镍基合金颗粒熔融以及保温阶段(1060℃)的熔合扩散与WC颗粒微区位置的调整。     

基于节点状态输出的动力学网络的自适应同步

基于微分方程不变原理,针对带有一般耦合函数的动力学网络,设计了实现网络同步的自适应同步方法.与其它的自适应同步方法相比较,该方法的优点是利用网络的一个节点的状态作为控制目标轨道来设计控制器.这一改进可以降低控制系统的维数,并且减少控制过程中各节点间的信息传递量.最后,通过一些数值算例验证所设计控制方法的有效性.     

基于复杂网络的舰艇作战模型研究

借鉴复杂网络的作战描述模型,把作战单元抽象成节点,把各单元之间的相互作用抽象成有向边,将战场描述为1个由传感器、决策器、影响器、目标4类节点组成的有向网络图,构建了1个基于复杂网络的舰艇网络模型,在模型中将单个舰艇作战和舰艇编队作战进行了比较。应用复杂网络的若干特征参数分别对几个舰艇和舰艇编队的作战网络效能进行了仿真分析。通过仿真结果的对比,说明舰艇进行编队时,指挥体系连通性的提高能够大大提高舰艇编队的作战效能     

A feature extraction method for use with bimodal biometrics

Bimodal biometrics has been found to outperform single biometrics and are usually implemented using the matching score level or decision level fusion, though this fusion will enable less information of bimodal biometric traits to be exploited for personal authentication than fusion at the feature level. This paper proposes matrix-based complex PCA (MCPCA), a feature level fusion method for bimodal biometrics that uses a complex matrix to denote two biometric traits from one subject. The method respectively takes the two images from two biometric traits of a subject as the real part and imaginary part of a complex matrix. MCPCA applies a novel and mathematically tractable algorithm for extracting features directly from complex matrices. We also show that MCPCA has a sound theoretical foundation and the previous matrix-based PCA technique, two-dimensional PCA (2DPCA), is only one special form of the proposed method. On the other hand, the features extracted by the developed method may have a large number of data items (each real number in the obtained features is called one data item). In order to obtain features with a small number of data items, we have devised a two-step feature extraction scheme. Our experiments show that the proposed two-step feature extraction scheme can achieve a higher classification accuracy than the 2DPCA and PCA techniques.     

拓扑结构对动态增长的复杂网络的影响

研究在网络增长和外部目标的双重作用下,拓扑结构对复杂网络的演化产生的影响。在经典的布尔网络模型上应用进化算法进行大量仿真计算,考察在2种不同的增长规则作用下,网络向预先设定的目标函数演化时表现出的演化性能。仿真结果显示,Scale-Free网络表现出明显优于随机网络的的演化能力,而且不同的度分布对网络的演化性能有重要的影响。     

在线修正的人脸姿态跟踪算法及交互应用

针对人脸在跟踪过程中可能存在大幅度的倾斜、旋转、遮挡以及肤色干扰等问题,提出一种基于在线修正的人脸跟踪算法.该算法当人脸检测失效时,人脸跟踪模块将用于提取目标参数;而在人脸跟踪过程中,为减小由连续跟踪造成的累积误差,利用人脸实时检测机制新检测到的人脸目标参数来修正跟踪模块的参数,包括跟踪窗口的位置和尺度,从而利用了人脸检测和人脸跟踪各自的优点.通过实验,其结果表明,该算法能够精确地跟踪复杂姿态下的人脸目标,并且能够解决肤色干扰和遮挡的问题,具有很好的适应性和鲁棒性.另外,将在线修正的跟踪方法应用于娱乐游戏控制,为人机交互提供了新的方式.