基于边缘权重分析的水面弱目标红外增强

为了提高水面环境下的弱目标红外图像的视觉质量,本文基于红外辐射理论,结合边缘分析与透射率等参数获取,实现了复原增强。通过辐射理论分析获得了原始场景图像关于透射率与路径辐射光的函数表达。利用暗通道先验,获取粗糙的透过率,结合边缘权重分析与导向滤波,获取精细透过率。在边缘分析基础上,确定了路径辐射。观测实验证明本文增强结果的潜在目标区域的局部对比好,突出了边缘与纹理特征。测试结果表明,本文方法运行速度快,增强的视觉效果好,客观评价值高,为后期的目标探测、识别等应用奠定了基础。     

髓鞘碱性蛋白对脂筏微区结构影响的模式化研究

本文主要通过原子力显微镜(AFM)和Langmuir单层膜技术研究不同浓度的髓鞘碱性蛋白(MBP)与"脂筏"(PC/SM/Cholesterol)模型相互作用形成仿生膜的物理特性.利用表面压缩模量(Cs-1)和二维维里状态方程对π-A曲线进行分析,计算了MBP与"脂筏"单层膜分子间相互作用的第二维里系数.根据二维维里状...     

基于深度堆栈编码器和反向传播算法的网络安全态势要素识别

网络安全态势要素识别的基础是对态势数据集进行有效的特征提取。针对反向传播(BP)神经网络对海量安全态势信息数据学习时过度依赖数据标签的问题,该文提出一种结合深度堆栈编码器和反向传播算法的网络安全态势要素识别方法,通过无监督学习算法逐层训练网络,在此基础上堆叠得到深度堆栈编码器,利用编码器提取数据集特征,实现了网络的无监督训练。仿真实验验证了该方法能有效提升安全态势感知的效能和准确度。     

Energy Harvesting in Cognitive Networks with Cooperative Beamforming: Power Allocation and Stability Analysis

Energy harvesting (EH) is a promising technology to improve both energy efficiency and spectral efficiency in cognitive radio (CR) networks. However, due to the randomness of the harvested energy and the interference constraint at the primary users (PUs), the limited transmission power of secondary users (SUs) may reduce the service rate of SUs. To solve this problem, this paper investigates a cooperative transmission method where a zero-forcing beamforming method is used in the EH based secondary network. Considering the transmission power constraint and energy causality, we derive the closed-form solution of the optimal transmission power for the secondary source and relays, which achieves the maximal stable throughput of the secondary network. Numerical results show the impact of different system parameters to the maximal stable throughput. In addition, compared with the traditional decode-and-forward (DF) scheme, the cooperative beamforming method achieves higher stable throughput under an high quality source-to-relay channel.     

Dependability analysis for characterizing Google cluster reliability

Cloud solutions are emerging as a new suitable way of transforming traditional IT data centers to highly available and reliable computing resources for hosting critical applications and data. However, software and hardware failures are a common problem in cloud datacenters that can lead to harmful damages. In this paper, we analyze the physical server failures in the Google cloud datacenter. We study the Google cluster properties to investigate the relationship among physical servers' failure rate and jobs failure events. The failure rate of Google cluster executed jobs and servers is taken into consideration during a 29‐day period. We present a reliability model for Google cluster physical machines using the continuous time Markov chains according to this observation. We attempt to analyze the obtained model through SHARPE software packages to improve the understanding of failure events in the Google cloud cluster. We also explore the cluster availability based on parameters like steady‐state availability, steady‐state unavailability, mean time to failure, and mean time to repair in the Google cluster.     

Timing slack optimization approach using FPGA hybrid routing strategy of rip-up-retry and pathfinder

To improve the path slack of Field Programmable Gate Array （FPGA）, this paper proposes a timing slack optimization approach which utilizes the hybrid routing strategy of rip-up-retry and pathfinder. Firstly, effect of process variations on path slack is analyzed, and by constructing a col- location table of delay model that takes into account the multi-corner process, the complex statistical static timing analysis is successfully translated into a simple classical static timing analysis. Then, based on the hybrid routing strategy of rip-up-retry and pathfinder, by adjusting the critical path which detours a long distance, the critical path delay is reduced and the path slack is optimized. Experimental results show that, using the hybrid routing strategy, the number of paths with negative slack can be optimized （reduced） by 85.8% on average compared with the Versatile Place and Route （VPR） tim- ing-driven routing algorithm, while the run-time is only increased by 15.02% on average.     

红外光机系统中折叠反射镜组安装误差分析

目前国内对于多次折叠的红外光学系统在装调中的折转角度以及折转后的轴向间隔缺乏有效的测试手段。以光路折转180°的两次折叠红外光学系统为研究对象,利用矢量的旋转平移理论建立了折叠反射光路的误差分析模型,并理论分析了反射镜的各个空间位置的改变对折转角度以及折转后的轴向间隔造成的影响,结合实际情况对反射镜的各项误差进行了比较和分析,得出对折转角度和折转光程影响最大的因素。最后利用分析得到的结果提出了一套反射镜的装调方案,使得由于光路折转产生的误差大大降低。     

智能室分管理系统的设计与实现

随着通信行业的竞争越来越激烈,各大运营商对网络站点建设成本及建设进度的控制显得尤为重要。本文提出一个基于后台数据化分析的智能室分管理系统,重点从系统架构、数据库建立、智能审核算法几个层面来阐述和介绍设计思路和实现原理,该系统为站点建设投资合理性及进度管控提供电子化支撑。     

Development of a robotic system for the bed-ridden

The ability to live without the help of a caretaker enhances the quality of life of those who are bed-ridden or confined to a wheel-chair. A lot of systems have been proposed to support the daily life of bed-ridden. A smart home, especially a bed-type robot system, can help the movement and action of patients.This paper discusses the development of an intelligent bed robot system (IBRS), which can help the elderly and the disabled have independent life in bed. The IBRS is a special bed equipped with two robot arms and an array of pressure sensors attached to the mattress. The pressure distribution on the mattress is used to estimate the pose of the patient, and an appropriate assistance is provided by the robot arms. The proposed system has been tested experimentally for its effectiveness while maximizing the therapeutic outcome.     

用有限元方法分析Si/GaAs的键合热应力

在考虑材料热膨胀系数随温度变化后,采用有限元方法结合ANSYS软件对Si/GaAs键合热应力进行了分析,研究了普通应力、轴向应力和剪切力的分布云图和沿界面的分布.同时提出了新的键合结构以减小热应力的影响,计算结果证明了该结构的有效性.