Motion detection in moving camera videos using background modeling and FlowNet

Real-time moving object detection is challenging for moving cameras due to the moving background. Many studies use homography matrix to compensate for global motion by warping the background model to the current frame. Then, the pixel difference between the current frame and the background model is used for background subtraction. Moving pixels are extracted by applying adaptive threshold and some post-processing techniques. On the other hand, deep learning-based dense optical flow can be efficient enough to extract the moving pixels, but it increases computational cost. This study proposes a method to enhance a classical background modeling method with deep learning-based dense optical flow. The main contribution of this paper is to propose a fusing algorithm for dense optical flow and background modeling approach. The background modeling methods are error-prone, especially with continuous camera movement, while the optical flow method alone may not always be efficient. Our hybrid method fuses both techniques to improve the detection accuracy. We propose a software architecture to run background modeling and dense optical flow methods in parallel processes. The proposed implementation approach significantly increases the method’s working speed, while the proposed fusion and combining strategy improve detection results. The experimental results show that the proposed method can run at high speed and has satisfying performance against the methods in the literature.     

压力容器裂纹缺陷的可靠性分析

本文引用可靠性理论，用概率断裂力学方法对压力容器缺陷进行了可靠性分析评定，并结合实例进行了计算．     

Heteroatom-doped carbon nanorods with improved electrocatalytic activity toward oxygen reduction in an acidic medium

High-performance heteroatom-doped carbon catalysts with large surface areas were prepared by pyrolyzing nanorod precursors that had been synthesized by polymerizing a mixture of aniline (An) and β-naphthalene sulfonic acid (NSA). The catalysts were characterized by scanning and transmission electron microscopy, Fourier transform infrared spectroscopy, X-ray diffraction, X-ray photoelectron spectroscopy, N₂ adsorption/desorption isotherms, and elemental analysis. We intensively investigated how the catalysts’ structure and catalytic performance were affected by (i) the ratio of NSA to An and (ii) the addition of Fe. The catalysts retained their nanorod morphology after pyrolysis. The optimal NSA/An ratio was 3/2 and the optimal Fe content was 3 wt%. The catalysts showed excellent activity toward oxygen reduction in an acidic medium, with the onset potential, half-wave potential, and limiting current density values reaching 0.86, 0.73 V (vs. reversible hydrogen electrode), and 5.28 mA cm⁻², respectively. We suggest that the catalysts’ high performance may be due to the co-doping effects of nitrogen, sulfur, and iron, as well as the large surface area created by the nanorod structures.     

Imitative Collaboration: A mirror-neuron inspired mixed reality collaboration method with remote hands and local replicas

Mixed reality can overlay and display 3D digital content in the real world, convey abstract concepts to users, and promote the understanding of complex tasks. However, the abstract graphics overlaid on the physical space may cause a certain cognitive load for local users and reduce the efficiency of collaboration. To improve the efficiency of remote collaboration, we conducted an elicitation study on assembly tasks, explored the user needs for collaboration, and defined the design goals of our remote collaboration method. Inspired by the mirror-neuron mechanism, we present an imitative collaboration method that allows local users to imitate the interaction behavior of remote users to complete tasks. We also propose a series of interaction methods for remote users to select, copy, and interact with the local point clouds to facilitate the expression of collaboration intentions. Finally, the results of a user study evaluating our imitative collaboration method on assembly tasks are reported, confirming that our method improves collaboration efficiency while reducing the cognitive load of local users.     

喷射环流膜生物反应器水力特性的研究

通过清水试验,确定了喷射环流膜生物反应器的最大吸气量,探讨吸气量、循环水量等因素对气含率、液相循环速度的影响,测定膜组件加入前后的气含率、液相循环速度大小,并与已有的生化反应器进行了比较.结果表明,装置的最大吸气量可达到0.67 m~3·h~(-1)吸气量是影响气含率的主要因素,并且随着吸气量的增加,气含率也随着增加;循环水量是影响液相循环速度的主要因素,随着循环水量的升高循环液速升高;膜组件的加入对气舍率、液相循环速度的影响非常小,与已有的生化反应器比较,JLMBR在水力特性方面具有明显的优势.所得结果可以为该类反应器的放大设计提供借鉴.     

Effect of n-type barrier doping on steady and dynamic performance of InGaN light-emitting diodes

The steady and dynamic properties are comparatively simulated results show that the n-doped LED exhibits is mainly attributed to the higher carrier radiative experimental results perfectly. investigated for the n-doped and non-doped InGaN LEDs. The the superior luminescence and modulation performance, which rate of n-doped LED. The results can explain the reported     

改性纳米SiO_2的制备及其在WPUA上的应用

采用溶胶-凝胶法,通过正硅酸乙酯(TEOS)水解缩合反应制备出纳米二氧化硅,通过硅烷偶联剂乙烯基三乙氧基硅烷(A-151)对SiO2粒子进行表面改性后,以丙烯酸(AA)和甲基丙烯酸甲酯(MMA)对纳米SiO2进行包覆反应,进行二次改性,最终得到稳定的纳米SiO2分散液。通过透射电镜(TEM)、红外光谱(IR),热重分析仪(TGA)等手段,对产品进行了表征,并将此SiO2分散液应用到WPUA(水性丙烯酸-聚氨酯)乳液的制备,得到了稳定的SiO2-PUA复合乳液。经检测,该纳米复合材料的涂膜性能得到一定的提高。     

Improving the high-temperature performance of LiMn2O4 spinel by micro-emulsion coating of LiCoO2

LiMn₂O₄ spinel, which has known performance deficiency in rechargeable lithium batteries at elevated temperatures, is coated with grains of LiCoO₂ through a novel micro-emulsion process. The resulting composite is characterized by elemental analysis, thermogravimetric analysis, differential scanning calorimetry, powder X-ray diffraction (XRD), and scanning and transmission electron microscopies. For assessment of electrochemical performance, the coated spinel is charged and discharged under typical conditions of battery application, and its cycleability and storage characteristics are determined at 55 °C. The results show substantially improved high-temperature performance, with a small reduction in capacity and specific energy relative to the pristine spinel.     

固定化漆酶深度处理制浆造纸废水

采用固定化漆酶深度处理制浆造纸废水,取得了良好的处理效果。最佳工艺条件:控制固定化漆酶的投加量为0.2 g/L,废水pH为6.5,CuSO4投加量为10 mg/L,HBT投加量为4 mg/L,在25℃曝气反应8 h后色度去除率可达85%左右,COD去除率达12.51%。若把HBT改为磷钼酸,控制磷钼酸投加量为500 mg/L,反应8 h后色度去除率达50%左右。     

改进液相共沉淀法制备LiFePO_4和掺杂Cu~(2+)的研究

依据电化学原理,提出改进液相共沉淀制备LiFePO_4前驱体的方法.以价廉稳定的Fe~(3+)化合物作铁源,在共沉淀的过程中不需要惰性气体保护,然后在较低温度下(550 ℃)于氮气气氛中焙烧得到橄榄石型LiFePO_4.研究烧结温度对产物性能的影响,550 ℃下烧结得到了电化学性能优良的纯相LiFePO_4.通过改进共沉淀制备掺铜的LiFePO_4正极材料,它具有153.10 mAh·g~(-1)的初始容量(0.1 C),比未掺杂的LiFePO_4提高了11%.经过30次循环后,容量降到140mAh·g~(-1).