Karl Mayer:自动分条整经机

德国卡尔·迈耶纺织机械公司生产的新型Nov-O-Matic 2分条整经机是推出的首台自动分条整经机.     

复杂环境下氧化铝储槽定向爆破拆除

在较为复杂的环境下,爆破拆除钢筋混凝土氧化铝储槽。该储槽自重大、呈圆形,内有4根立柱支撑下料漏斗。为使储槽顺利定向倒塌,通过爆破方案选择、参数确定,采取梯形切口和预处理以及安全防护和减振措施,使储槽爆破拆除获圆满成功。     

Reference guided image super-resolution via efficient dense warping and adaptive fusion

Due to the limited improvement of single-image based super-resolution (SR) methods in recent years, the reference based image SR (RefSR) methods, which super-resolve the low-resolution (LR) input with the guidance of similar high-resolution (HR) reference images are emerging. There are two main challenges in RefSR, i.e. reference image warping and exploring the guidance information from the warped references. For reference warping, we propose an efficient dense warping method to deal with large displacements, which is much faster than traditional patch (or texture) matching strategy. For the SR process, since different reference images complement each other, and have different similarities with the LR image, we further propose a similarity based feature fusion strategy to take advantage of the most similar reference regions. The SR process is realized by an encoder–decoder network and trained with pixel-level reconstruction loss, degradation loss and feature-level perceptual loss. Extensive experiments on three benchmark datasets demonstrate that the proposed method outperforms state-of-the-art SR methods in both subjective and objective measurements.     

基于堆叠深度卷积沙漏网络的步态识别

提出了一种基于堆叠深度卷积沙漏网络的步态识别方法。为了解决人体建模中关节点准确定位的问题，采用基于深度卷积的沙漏网络来提取步态图上的关节点坐标，并计算肘关节与膝关节的角度作为运动特征。为了解决行走速度变化带来的影响，采用动态时间规整（Dynamic Time Warping）对特征序列进行距离计算。通过最近邻分类器对结果进行准确分类。该方法在公共CASIA-B数据集与TUM-GAID数据集上进行了验证并与其他方法进行比较，结果表明该方法有较高的识别率。     

Do African Economies Grow Similarly?

Abstract

This paper examines economic growth in 52 African countries for 1961–2016 and seeks to find if there is common growth. As all African countries have their particular features, concerning climate, harvest, industry, size, politics, and infrastructure, and more, it seems best to rely on a non-parametric method. Dynamic Time Warping is such a convenient method, also as it allows leads and lags across countries to vary over time, and as it can easily be incorporated into a clustering technique. Five clusters are found, two of which concern Equatorial Guinea and Botswana, and the three other clusters have common growth rates of about 0, 2 and 4 over more than five decades.     

Analysis and experiment on deformation of sheet metal by laser shock wave

The mechanism of laser shock deformation and the reason for the production of the shockwave are introduced. An evaluation formula of the detonation wave pressure in the system of laser, energy transferring-medium and sheet metal is built according to the theory of detonation wave and blasting gas-dynamics. The minimal energy of the laser pulse is evaluated on the basis of the formula of the laser shock pressure and evaluation of dynamic yielding strength. The experiment is also validated. The result shows that the quantity of sheet metal deforming is nonlinearly increased with laser energy, i.e., pressure of the laser shock wave. Under a laser-induced ultra-high pressure and high strain rate, structural steels and composite materials undergo plastic deformation. __________ Translated from Journal of Nanjing University of Aeronautics and Astronautic, 2005(S1) (in Chinese)     

基于选择性激光烧结技术的过渡法兰制造工艺研究

详细介绍了采用选择性激光烧结技术(SLS)制造过渡法兰实体零件的工艺过程,评论了直接成型零件过程中的质量控制及其解决方法,重点分析了翘曲变形的产生原因和影响因素。     

A Fast Algorithm to Map Functions Forward

Mapping functions forward is required in image warping and other signal processing applications. The problem is described as follows: specify an integer d 1, a compact domain D R ^d, lattices L ₁,L ₂ R ^d, and a deformation function F : D R ^d that is continuously differentiable and maps D one-to-one onto F(D). Corresponding to a function J : F(D) R, define the function I = J F. The forward mapping problem consists of estimating values of J on L ₂ F(D), from the values of I and F on L ₁ D. Forward mapping is difficult, because it involves approximation from scattered data (values of I F ^-1 on the set F(L ₁ $#x22C2; D)), whereas backward mapping (computing I from J) is much easier because it involves approximation from regular data (values ofJ on L ₂ D). We develop a fast algorithm that approximates J by an orthonormal expansion, using scaling functions related to Daubechies wavelet bases. Two techniques for approximating the expansion coefficients are described and numerical results for a one dimensional problem are used to illustrate the second technique. In contrast to conventional scattered data interpolation algorithms, the complexity of our algorithm is linear in the number of samples.     

基于动态时间规整的磁偏角修正地磁匹配导航算法

在室内环境中,建筑结构会对地磁场强度和磁偏角造成一定的、较稳定的影响,所以进行室内导航时,可以利用地磁场强度和磁偏角来修正航位推算产生的累积误差。因此先采集地磁场强度和磁偏角离散数据,并采用广义延拓逼近方法对匹配区域内的离散数据进行处理,建立起三轴地磁场强度和磁偏角的数据库。其中磁偏角数据库用于优化惯性模块输出的航向角,地磁场强度数据库用于匹配导航。在测量得到的地磁场强序列与地磁数据库中的地磁场强序列的匹配过程中,由于匹配序列长度不一致的因素,因此需要引入动态时间规整的思想,并采用Hausdorff距离方法提升匹配定位精度。在测试过程中,无里程信息辅助的地磁匹配定位精度在4.65m(97.7%)以内;基于磁偏角补偿和里程信息辅助的地磁匹配平均定位精度为0.73m,其中有93.7%在1m以内,本方法可以实现亚米级的定位精度。     

标签传播时间序列聚类的股指期货套期保值策略研究

利用时间序列聚类方法进行股指期货的套期保值,关键要选择合适的聚类方法。本文从新的视角来研究并提高时间序列聚类方法在金融数据分析领域的应用性能,提出一种基于标签传播时间序列聚类的股指期货套期保值模型。该模型以动态时间弯曲为相似性度量方法来构建现货股票网络空间结构,将每只股票看作一个节点,利用标签传播方法将节点划分到不同的簇中,最终实现股票数据聚类。另外,构建最小追踪误差优化模型来确定每支股票在现货组合中的最优权重,从而得到最优组合。实验分别比较新方法和传统聚类方法确定现货组合的追踪误差,结果表明新方法能够提高现货组合的追踪精度,为丰富金融市场投资和管理方式提供新的研究思路。