采用自适应模糊优化的目标跟踪加速方案

目标跟踪作为计算机视觉的重要方向之一,在自动驾驶、安防监控等方面有着广泛的应用,但是目标跟踪算法还无法有效地运行在嵌入式设备上。针对目标跟踪算法计算量大、复杂度高,难以部署在资源受限的嵌入式设备的问题,提出了一种基于相关滤波目标跟踪的加速方案。首先采用自适应模糊算法优化了跟踪算法整体运算量,它可以根据目标跟踪框的尺寸判定是否降低图像质量。其次采用了跟踪响应结果的峰值旁瓣比与平均相关能量比判据来评估跟踪结果的可信度,从而实现跟踪模型的自适应更新以及目标位置的重搜索。最后基于FPGA并行实现相关运算和跟踪检测器训练阶段的矩阵相乘运算,以提升算法实时能效性。所提出的加速算法基于PYNQ-Z2进行硬件测试,并在OTB-2015跟踪数据集上进行验证,该算法的跟踪精度与跟踪实时性分别为65.8%,17.28 frame/s,相比于原始算法,跟踪精度、跟踪实时分别提高了9.12%、703.7%。     

一种人与人和机器到机器共存下能效最大化的上行用户分配算法

针对5G超密集异构蜂窝网络中人与人(H2H)和机器到机器(M2M)共存场景下有服务质量(QoS)保障和负载均衡的上行用户分配问题,该文提出一种基于匹配理论的用户分配算法.该算法在用户分配过程中同时考虑不同类型节点的接入控制策略,在最大化网络能效的同时,实现节点QoS保障.仿真结果表明,与其他算法相比,该算法不仅能够在能效、负载均衡以及QoS保障方面获得更好的性能,并且能获得与穷举法相近的性能.此外,所提算法的收敛速度很快且不受节点和基站数目变化的影响,适合解决H2H和M2M共存场景中的用户分配问题.     

Value recovery from end-of-use products facilitated by automated dismantling planning

Circular economy is a promising business model that promotes sustainable development by closing material loops. Making progress toward a circular economy requires the recovery of valuable materials and components from end-of-use products and subsequent reuse of them in some form, thus maximizing the utility of components and materials. Currently, end-of-use products value recovery is carried out without a rational planning, causing the loss of the recoverable value embedded in material and components. To address this problem, dismantling planning and appropriate technologies should be employed to improve the economic performance of end-of-use products value recovery. In this paper, a two-stage dismantling planning method is proposed to find a profitable end-of-use strategy. In the first stage of this method, disassembly optimization model is constructed and can be executed to obtain the optimal disassembly plan allowing maximum preservation of component function value, in a preservative disassembly scenario. To speed up the modeling, a method for automatic generation of AND/OR graph—a structure of incorporating all possible disassembly operations and associated subassemblies, is presented. In the second stage of the method, in order to increase profitability, Pareto analysis is employed to identify bottlenecks to disassembly and automated/destructive technologies are considered to remove the bottlenecks. A hard disk drive serves as a case study to illustrate the suggested method.     

Spinel-layered integrate structured nanorods with both high capacity and superior high-rate capability as cathode material for lithium-ion batteries

Spinel phase LiMn2O4 was successfully embedded into monoclinic phase layeredstructured Li2MrnO3 nanorods,and these spinel-layered integrate structured nanorods showed both high capacities and superior high-rate capabilities as cathode material for lithium-ion batteries (LIBs).Pristine Li2MnO3 nanorods were synthesized by a simple rheological phase method using α-MnO2 nanowires as precursors.The spinel-layered integrate structured nanorods were fabricated by a facile partial reduction reaction using stearic acid as the reductant.Both structural characterizations and electrochemical properties of the integrate structured nanorods verified that LiMn2O4 nanodomains were embedded inside the pristine Li2MnO3 nanorods.When used as cathode materials for LIBs,the spinel-layered integrate structured Li2MnO3 nanorods (SL-Li2MnO3) showed much better performances than the pristine layered-structured Li2MnO3 nanorods (L-Li2MnO3).When charge-discharged at 20 mA·g-1 in a voltage window of 2.0-4.8 V,the SL-Li2MnO3 showed discharge capadties of 272.3 and 228.4 mAh.g-1 in the first and the 60th cycles,respectively,with capacity retention of 83.8％.The SL-Li2MnO3 also showed superior high-rate performances.When cycled at rates of 1 C,2 C,5 C,and 10 C (1 C =200 mA·g-1) for hundreds of cycles,the discharge capacities of the SL-Li2MnO3 reached 218.9,200.5,147.1,and 123.9 mAh·g-1,respectively.The superior performances of the SL-Li2MnO3 are ascribed to the spineMayered integrated structures.With large capacities and superior high-rate performances,these spinel-layered integrate structured materials are good candidates for cathodes of next-generation high-power LIBs.     

Effective Control Charts for Monitoring the NGINAR(1) Process

In recent years, there has been a growing interest in the control of autocorrelated count data. Existing results focus on the Poisson integer‐valued autoregressive (INAR) process, but this process cannot deal with overdispersion (variance is greater than mean), which is a common phenomenon in count data. We propose to control the autocorrelated count data based on a new geometric INAR (NGINAR) process, which is an alternative to the Poisson one. In this paper, we use the combined jumps chart, the cumulative sum chart, and the combined exponentially weighted moving average chart to detect the shift of parameters in the process. We compare the performance of these charts for the case of an underlying NGINAR(1) process in terms of the average run lengths. One real example is presented to demonstrate good performances of the charts. Copyright © 2015 John Wiley & Sons, Ltd.     

超空泡射弹尾拍运动流固耦合动力学响应研究

基于ANSYS软件和CFX软件的双向隐式交错迭代法对超空泡射弹尾拍运动过程中的流固耦合响应进行了研究,结构响应仿真采用有限元法、流场仿真采用分相流模型和SST湍流模型,重点比较分析了流固耦合作用对射弹运动姿态和流体动力的影响,给出了尾拍过程中弹体应力的变化规律.     

随机振动下产品包装系统传递路径分析

实验研究不同激励谱型、不同振动等级、不同缓冲衬垫厚度和不同衬垫分配方式下产品包装系统的振动响应规律,利用工况传递路径分析法（OTPA）量化随机振动下产品包装系统各传递路径的振动贡献量。结果表明：当振动等级较高时,包装件出现轻微跳动现象,系统振动响应增大,共振频率略微减小;随着缓冲衬垫厚度的增加,系统共振频率减小,不同激励谱下关键元件的加速度响应功率谱密度（PSD）有所差异,振动响应与系统共振频率处的激励能量大小有关,衬垫厚度对各路径的振动贡献量影响较小;衬垫分配方式对关键元件上的响应 PSD 影响较大,不同衬垫分配方式可调节各传递路径的振动贡献量大小;当缓冲衬垫面积均匀分配时,利用 OTPA 方法识别出系统的主要振动贡献路径,将其定义为关键振动传递路径,关键元件的响应与关键振动传递路径在共振频率附近的振动贡献量紧密相关,缓冲包装设计应重点关注关键振动传递路径的减振设计。研究结果为进一步研究缓冲包装设计方法提供理论支撑。