基于最小费用最大流的无线多媒体传感网多路径路由算法

为了解决多媒体数据的实时传输和网络生存时间优化问题,提出基于最小费用最大流的无线多媒体传感网多路径路由算法(MRAMCMF).MRAMCMF分析了数据传输能耗、节点剩余能量和最小数据传输时延,提出了新的权值函数,并利用最小费用最大流算法构建多路径的数据路由方案.所有多媒体传感节点沿着多个传输路径将数据传输到sink节点.仿真结果表明,该算法能延长网络生存时间,降低和平衡节点能耗,降低数据传输时延,在一定的条件下,比Ratio_w算法和TPGF算法更优.     

共形光电防撞系统光学窗口像差校正设计

为满足新一代作战直升机在高速飞行下仍保持精确打击能力,对其光电探测系统及光学窗口采用共形布局设计.根据共形光电防撞系统0.4～0.7μm/1.064μm/3.7～4.8μm多波段的使用要求以及直升机飞行马赫数0.3～0.4的条件下,设计了长径比为1、口径100 mm、厚度5 mm,材料为MgF2的椭球面作为共形光电防撞系统光学窗口面型.运用Zernike多项式分析不同波段下光学窗口引入像差与扫描视场之间的变化关系,采用将固定校正系统置于光学窗口后的设计方法,对窗口引入的像差进行校正.最终结果表明,经过两次校正后,可见光波段各Zernike像差系数P-V值小于0.6λ,激光波段小于0.4λ,红外波段小于0.1λ,像差校正效果良好,满足设计要求.     

基于可射击概率约束的防空作战火力优化分配

针对防空作战火力优化分配中未考虑可射击概率影响防空作战效能的问题,提出一种基于可射击概率约束的火力分配模型.该模型综合考虑可射击概率、空袭强度、火力单元转火时间等多种因素,能够在保证满足可射击概率和联合毁伤概率阈值前提下,优先使用反应快的火力单元拦截飞临时间短的目标,并尽量减少火力资源消耗,为防空系统提供持续作战能力....     

基于RCMA的运载火箭活动发射平台大修方法设计研究

以可靠性为中心的维修分析是目前装备维修设计的常用分析方法.针对运载火箭活动发射平台,运用RCMA的理论和分析流程,研究并提出发射平台大修项目和方法,为其他同类大型复杂产品的大修提供参考和借鉴.     

Electrically Responsive Materials and Devices Directly Driven by the High Voltage of Triboelectric Nanogenerators

Smart materials with electrically responsive characteristics and devices relying on different electrostatic effects can be directly driven by triboelectric nanogenerators (TENGs). The open circuit voltage from a TENG can easily reach thousands of volts with a separation distance of a few millimeters and this high output voltage can be used to effectively drive or control some devices with high internal resistance. This kind of combination is the most straightforward way for achieving a self‐powered smart system. Hence, a detailed survey of electrically responsive materials and devices that can be successfully combined with TENG is summarized, including dielectric elastomers, piezoelectric materials, ferroelectric materials, electrostatic manipulators, electrostatic air cleaners, and field emission and mass spectrometers. Moreover, key factors in determining suitable materials or devices to work with TENG are clarified and an in‐depth discussion of the current challenges related to these combined systems is provided. With the cost‐effectiveness and simple manufacturing process, these TENG‐based composite systems have great application prospects in the field of smart mechanics, human–machine interaction systems, intelligent storage systems, self‐powered microfluidic chips, portable mass spectrometers, and so on.     

A Monocharged Electret Nanogenerator‐Based Self‐Powered Device for Pressure and Tactile Sensor Applications

This study reports a self‐powered pressure sensor based on a monocharged electret nanogenerator (MENG). The sensor exhibits great advantages in terms of high reliability, ease of fabrication, and relatively high sensitivity. The working mechanism of the MENG sensor is studied by both theoretical derivations and finite element analyses to determine the electric potential distribution during the device operation. The MENG sensor exhibits a stable open circuit voltage ≈10 V at a 30.8 kPa pressure and a corresponding sensitivity of 325 mV kPa^?1. The stability testing result shows that the device has only ≈5% attenuation after 10 000 cycles of repeated testing at 30.8 kPa pressure. Furthermore, it is found that the MENG sensor responds not only to a dynamic force but also a static force. Finally, a sensor array consisting of nine MENG sensor elements is fabricated. The testing results from the sensor array also reveal that a single touch of the sensor element can immediately light up an LED light at the corresponding position. This device holds great promise for use in future tactile sensors and artificial skin applications.     

Self‐Powered Distributed Water Level Sensors Based on Liquid–Solid Triboelectric Nanogenerators for Ship Draft Detecting

Ship draft measurement is of great significance for ensuring navigation safety and facilitating ship control. In this work, a self‐powered water level sensor based on a liquid–solid tubular triboelectric nanogenerator (LST‐TENG) is proposed and analyzed. The LST‐TENG is made of multiple copper electrodes uniformly distributed along a polytetrafluoroethylene (PTFE) tube. When water flows into the PTFE tube, it induces alternating flows of electrons between the main electrode and the distributed bottom electrodes. The obvious peaks in the derivative of open‐circuit voltage with respect to time are found to correspond with the electrode distribution. Then it can be utilized as a robust and sensitive indicator for detecting the water level as the number of obvious peaks in the derivative of open‐circuit voltage is directly related to the water level height. The ship draft is successfully detected using the LST‐TENG with an accuracy of 10 mm. It shows that the water level sensor has stable performance for liquid–solid interface monitoring. Therefore, this LST‐TENG is self‐powered, robust, and accurate for extensive applications in marine industry.     

二维寄生电容参数的对偶离散几何法提取

寄生电容参数提取是集成电路领域的关键课题,也是典型的静电场问题之一。通过研究电磁场对偶离散几何法, 探讨在二维非结构化网格离散空间上相应的寄生电容提取算法, 其中重点考察其对偶特性以及能量互补特性。基于该特性,同时采用对偶的两种方法能够有效地消除网格离散带来的误差,比采用单一方法更快地逼近真实解,从而可发展出静电场能量快速算法。并从理论与实例两方面将其与对偶有限元法实施分析对比。离散几何法采用对偶两套网格上的标量电势作为未知量,具有简单的形式与良好的精度,有望成为相关领域的一种主流方法。     

Determining correspondence in 3-D MR brain images using attribute vectors as morphological signatures of voxels

Finding point correspondence in anatomical images is a key step in shape analysis and deformable registration. This paper proposes an automatic correspondence detection algorithm for intramodality MR brain images of different subjects using wavelet-based attribute vectors (WAVs) defined on every image voxel. The attribute vector (AV) is extracted from the wavelet subimages and reflects the image structure in a large neighborhood around the respective voxel in a multiscale fashion. It plays the role of a morphological signature for each voxel, and our goal is, therefore, to make it distinctive of the respective voxel. Correspondence is then determined from similarities of AVs. By incorporating the prior knowledge of the spatial relationship among voxels, the ability of the proposed algorithm to find anatomical correspondence is further improved. Experiments with MR images of human brains show that the algorithm performs similarly to experts, even for complex cortical structures.