RXDNFuse: A aggregated residual dense network for infrared and visible image fusion

This study proposes a novel unsupervised network for IR/VIS fusion task, termed as RXDNFuse, which is based on the aggregated residual dense network. In contrast to conventional fusion networks, RXDNFuse is designed as an end-to-end model that combines the structural advantages of ResNeXt and DenseNet. Hence, it overcomes the limitations of the manual and complicated design of activity-level measurement and fusion rules. Our method establishes the image fusion problem into the structure and intensity proportional maintenance problem of the IR/VIS images. Using comprehensive feature extraction and combination, RXDNFuse automatically estimates the information preservation degrees of corresponding source images, and extracts hierarchical features to achieve effective fusion. Moreover, we design two loss function strategies to optimize the similarity constraint and the network parameter training, thus further improving the quality of detailed information. We also generalize RXDNFuse to fuse images with different resolutions and RGB scale images. Extensive qualitative and quantitative evaluations reveal that our results can effectively preserve the abundant textural details and the highlighted thermal radiation information. In particular, our results form a comprehensive representation of scene information, which is more in line with the human visual perception system.     

高聚物的新型3D打印材料开发进展

综述了一般3D打印技术的概念、产业及其发展。重点介绍了高聚物在3D打印材料中的应用。持续跟踪结果表明:一批新型高聚物的3D打印材料推向市场,一批国际知名化工公司也在积极介入3D打印业务。     

Recovery planning of industrial robots based on semantic information of failures and time-dependent utility

Industrial robots are required to recover from temporary errors and continue operations under a changing environment. In this paper, we propose a recovery planning system that considers the semantic information behind errors during robotic actions. In order to establish general repair strategies for feasible recovery plans under uncertainties, the proposed system uses a conceptual graph based on case grammar and a Bayesian network that is dynamically constructed according to the semantic information. In addition, we tackle the problem that the wealth of the recovery plan depends on the uncertainty of execution costs against the deadline at the production site. The proposed system controls the decision model by using a time-dependent utility. We demonstrate the effectiveness of the proposed system through simulations of assembly tasks by multiple robots.     

微型离心泵泵叶三层式滑块机构三板模具设计

针对微型离心泵泵叶塑件成型模具设计困难的问题，设计了一种改进型三板点浇口模以用于该泵叶塑件的成型。塑件的浇注成型应用3个点浇口来进行平衡注塑，以控制塑件成型变形。模腔布局为1模1腔。针对塑件叶槽区域脱模困难问题，设计了一种3层3次复合抽芯脱模用于难脱模叶槽部位特征的脱模，机构中，将叶槽部位特征的成型块分割成2层成型件后，机构的第一次抽芯动作由弹簧驱动上层滑块实施上层成型块的抽芯；机构的第二次抽芯由斜导柱驱动实施下层成型块的抽芯；最后，由弯销驱动基座滑块带动2个侧抽芯滑块向外抽芯，以让出塑件完全顶出脱模的运动空间。第二次抽芯、第三次抽芯的驱动动力分别由模架模板的第三次开模、第四次开模打开来进行驱动。塑件的最终脱模由油缸驱动顶针板及顶杆顶出而实现塑件的完全脱模。基于塑件、流道脱模及抽芯机构的动作需要，将典型三板点浇口模架改进为四板4次开模点浇口，从而能使塑件、流道废料及驱动滑块机构分次按序来实施抽芯脱模。模具脱模机构动作设置合理，机构结构设计巧妙，模具整体工作可靠，有较好的设计参考价值。     

Cross grouping strategy based 2DPCA method for face recognition

Grouping strategy exactly specifies the form of covariance matrix, therefore it is very essential. Most 2DPCA methods use the original 2D image matrices to form the covariance matrix which actually means that the strategy is to group the random variables by row or column of the input image. Because of their grouping strategies these methods have two main drawbacks. Firstly, 2DPCA and some of its variants such as A2DPCA, DiaPCA and MatPCA preserve only the covariance information between the elements of these groups. This directly implies that 2DPCA and these variants eliminate some covariance information while PCA preserves such information that can be useful for recognition. Secondly, all the existing methods suffer from the relatively high intra-group correlation, since the random variables in a row, column, or a block are closely located and highly correlated. To overcome such drawbacks we propose a novel grouping strategy named cross grouping strategy. The algorithm focuses on reducing the redundancy among the row and the column vectors of the image matrix. While doing this the algorithm completely preserves the covariance information of PCA between local geometric structures in the image matrix which is partially maintained in 2DPCA and its variants. And also in the proposed study intra-group correlation is weak according to the 2DPCA and its variants because the random variables spread over the whole face image. These make the proposed algorithm superior to 2DPCA and its variants. In order to achieve this, image cross-covariance matrix is calculated from the summation of the outer products of the column and the row vectors of all images. The singular value decomposition (SVD) is then applied to the image cross-covariance matrix. The right and the left singular vectors of SVD of the image cross-covariance matrix are used as the optimal projective vectors. Further in order to reduce the dimension LDA is applied on the feature space of the proposed method that is proposed method + LDA. The exhaustive experimental results demonstrate that proposed grouping strategy for 2DPCA is superior to 2DPCA, its specified variants and PCA, and proposed method outperforms bi-directional PCA + LDA.     

中国农村土地整治生态景观建设策略

经济的不断发展对土地利用提出更高要求,为实现经济的可持续发展,需要增强土地整治工作成效,结合生态景观战略,以科学的举措来最大程度地发挥农村土地整治工作的效果。为此,文章结合我国土地整治生态景观中所出现的问题,提出了有效的建设策略,希望能够进一步协调生态与经济间的关系,实现二者的和谐发展。     

多种抽芯机构的汽车内门把手座注塑模设计

针对汽车内门把手座使用性能要求,选用30%玻璃纤维增强尼龙6作为成型原料。注塑模具的浇注系统采用热流道转冷流道及潜伏式浇口进料方式,降低了人工剪浇口成本。根据塑件含有的侧孔、侧向凹槽、卡扣等细节特征,设计了相应的斜导柱滑块二级抽芯机构和特殊的斜向液压内侧二级抽芯机构,并对侧抽芯机构的工作过程进行详细分析。实践证明,设计的模具结构合理,工作稳定,对同类注塑模具设计有一定的参考价值。     

On monitoring the process mean of autocorrelated observations with measurement errors using the w-of-w runs-rules scheme

Runs-rules have been widely used since the 1950s in industrial and nonindustrial process monitoring applications to improve the performance of basic and other traditional monitoring schemes. However, none of the studies on runs-rules have accounted for a process with a combined effect of measurement errors and autocorrelation. Hence, in this paper, the use of the w-of-w runs-rules to improve the performance of the Shewhart $\overline{X}$ scheme using an additive model with a constant variance and a first-order autoregressive model is proposed. To reduce the combined negative effect of measurement errors and autocorrelation, we implement a sampling strategy based on rational subgroups in which (a) multiple measurements per item are taken (instead of a standard single measurement) and (b) non-neighboring observations are gathered. Moreover, the latter sampling strategy is incorporated into the values of probability elements of a Markov chain matrix which is used to derive some closed-form expressions for the zero- and steady-state run-length distribution. The main finding of this study is that, with respect to some overall performance measures, the proposed scheme outperforms the existing Shewhart $\overline{X}$ scheme by a significant margin. A real-life example is used to illustrate the practical implementation of the proposed scheme.     

特种车辆自动紧急制动控制策略研究

针对特种车辆在战场以及训练过程中易出现的车辆碰撞事故问题,提出了一套自动紧急制动系统(AEBS)核心控制策略,完成了对车辆AEBS性能的道路验证测试.测试结果表明被试车辆符合JT/T 1242-2019对AEBS性能的要求.     

某水电站高喷防渗墙检测方法综合分析

该文通过在一次检测过程中运用多种检测手段对某水电站防渗墙进行检测,并就检测结果进行综合分析,从而得出防渗墙工程中的一些值得借鉴的工程经验.