可快速精确重建的毫米波MIMO近距离成像机制研究

毫米波成像在人体安检领域发挥了重要作用,引起了人们的广泛关注。现有的毫米波近场人体安检成像机制主要分为SISO和MIMO两种。SISO机制可实现快速精确成像,然而随着工作频率的升高,其所需天线数目迅速增长、天线间隔下降,不仅造成了系统成本提升,还使得天线耦合难以被抑制。MIMO机制虽然降低了成像所需的天线数目、增大了天线间隔,但目前无法实现类似SISO机制的快速精确重建。提出了一种可快速精确重建的MIMO近距离成像机制,定量给出了该机制的适用条件。与传统MIMO近距离成像机制不同,该MIMO近距离成像机制通过巧妙地设计MIMO子阵列,使其在近场成像中满足等效相位中心原理。因此它能够直接使用诸如距离迁徙算法（range migration algorithm,RMA）等各种基于SISO机制开发的精确且快速的成像算法去重建图像,兼顾了SISO机制和MIMO机制的优势。E波段的示例表明,在近场毫米波成像中,该MIMO机制与SISO机制具有同等水平的成像质量和成像速度,但相较于SISO机制,该MIMO机制的天线利用率、天线间隔可提升4倍以上。与传统MIMO成像机制相比,该MIMO成像机制不但有更好的成像质量,而且其重建速度大幅提升,在一个成像区域为1 m×1 m×0.2 m,体素尺寸为1.85 mm3的典型成像场景中,比传统MIMO成像机制快近200,000倍。仿真和实验结果验证了该成像机制的有效性。     

基于改进双端法的高压交流输电线路故障定位

现有输电线路行波故障测距方法由于受行波波速的不确定性以及输电线路弧垂的影响,容易出现较大的定位误差.为此,提出了一种无需波速和线路长度整定的线路故障行波定位方法.利用线路两端的行波信号检测装置记录故障电压行波波头到达时间,同时根据电压行波折反射过程中的传播路径列出关于距离、速度和时间的方程组,经过数学变换可以消去线路弧垂的影响,并在线路上实时在线测量行波速度.用PSCAD软件对双端结构的输电线路进行了仿真,实验结果表明该方法具有好的适应性,在实际测距中对线路电气参数依赖性低,不受故障类型,故障位置和过渡电阻等因素的影响,定位误差较小,原理简单,具有较高的准确性和良好的适用性.     

A Review of FPGA-Based Custom Computing Architecture for Convolutional Neural Network Inference

Convolutional neural network (CNN) has been widely adopted in many tasks. Its inference process is usually applied on edge devices where the computing resources and power consumption are limited. At present, the performance of general processors cannot meet the requirement for CNN models with high computation complexity and large number of pa-rameters. Field-programmable gate array (FPGA)-based custom computing architecture is a promising solution to further enhance the CNN inference performance. The software/hardware co-design can effectively reduce the computing overhead, and improve the inference performance while ensuring accuracy. In this paper, the mainstream methods of CNN structure design, hardware-oriented model compression and FPGA-based custom architecture design are summarized, and the improvement of CNN inference performance is demonstrated through an example. Challenges and possible research directions in the future are concluded to foster research efforts in this domain.     

Improving Knowledge Graph Completion Using Soft Rules and Adversarial Learning

Knowledge graph is a useful resources and tools for describing entities and relationships in natural language processing tasks.However,the existing knowledge graph are incomplete.Therefore,knowledge graph completion technology has become a research hotspot in the field of artificial intelligence,but the traditional knowledge graph embedding method does not fully take into account the role of logic rules and the effect of false negative samples on knowledge embedding.Based on the logic rules of knowledge and the role of adversarial learning in knowledge embedding,we proposes a model to improve the completion of knowledge graph:soft Rules and graph adversarial learning (RUGA).Firstly,the traditional knowledge graph embedding model is trained as generator and discriminator by using adversarial learning method,and high-quality negative samples are obtained.Then these negative samples and the existing positive samples together constitute the label triple in the injection rule model.The whole model will benefit from both high-quality samples and logical rules.In addition,we evaluated the performance of link prediction task and triple classification task on Freebase and Yago datasets respectively.Finally,the experimental results show that the model can effectively improve the effect of knowledge graph completion.     

一种适用于卫星通信的低噪声放大器设计

采用高频电路仿真软件ADS,结合高频电磁仿真软件HFSS,进行联合仿真,设计了一种低噪声放大器,适用于Ku频段卫星通信接收通道。在频率11.45 GHz-12.75 GHz范围内,噪声系数小于0.80 dB,端口输入驻波小于-17.0 dB,有一定的实用价值。     

工业互联网标准化工作现状与策略研究

工业互联网是典型的交叉融合领域,原有信息通信领域和工业领域的标准无法完全适用于工业互联网,为有效推进工业互联网有序发展,避免标准缺失、交叉、重复等问题,急需形成统筹协作、目标明确、高效高质的标准化工作平台环境,加快相关标准研制,推进工业互联网有序发展。     

经由受激拉曼绝热过程高效产生太赫兹

论证了在三能级系统中经由受激拉曼绝热过程产生太赫兹,分析了基本模型和泵浦激光与太赫兹产生相干的三能级的理论,并应用在横向激励二氧化碳激光光学泵浦重水分子中,可以产生波长为385 μm的太赫兹辐射.产生的太赫兹脉冲功率表现为蒸汽压的函数,并得到了最高太赫兹功率.该技术提供了一种鲁棒性非常好的产生太赫兹的方法.     

Flexible and Air-Stable Near-Infrared Sensors Based on Solution-Processed Inorganic–Organic Hybrid Phototransistors

Flexible and air-stable phototransistors are highly demanded for wearable near-infrared (NIR) image sensors. However, advanced NIR sensors via low-cost, solution-based processes remained a challenge. Herein, high-performance inorganic–organic hybrid phototransistors are achieved based on solution processed n-type metal oxide/polymer semiconductor heterostructures of In₂O₃/poly{5,5′-bis[3,5-bis(thienyl)phenyl]-2,2′-bithiophene-3-ethylesterthiophene]} (PTPBT-ET). The In₂O₃/PTPBT-ET hybrid phototransistor combines the advantages of both fast electron transport in In₂O₃ and high photoresponse in PTPBT-ET, showing high saturation mobility of 7.1 cm² V⁻¹ s⁻¹ and large current on/off ratio of >10⁷. As a result, the phototransistor exhibits high performance towards NIR light sensing with a responsivity of 200 A W⁻¹, a specific detectivity of 1.2 × 10¹³ Jones, and fast photoresponse with rise/fall time of 5/120 ms. Remarkably, the hybrid phototransistor, without any passivation, demonstrates excellent electrical stability without performance degradation even after 160 days in air. A 10 × 10 phototransistor array is also enabled by virtue of the high device uniformity. Lastly, flexible In₂O₃/PTPBT-ET phototransistor on polyimide substrate is attained, exhibiting outstanding mechanical flexibility up to 1000 bending/releasing cycles at a bending radius of 5 mm. These achievements pave the way for constructing air-stable hybrid phototransistors for flexible NIR image sensor applications.     

一种变形翼的气动特性数值模拟研究

为研究可变形翼在动态变形过程中的气动特性,文中利用数值模拟软件FLUENT中的动网格技术,模拟了可变形翼在不同变形速度下的变展长、变后掠和变翼型等变形过程的气动特性.结果显示翼的不同变形方式和变形速度对翼的气动特性产生不同的影响,变展长受变形速度的影响不大,而变后掠和变翼型对变形速度比较敏感.分析结果对可变形飞行器的研究具有重要的意义.     

缩短短时间工作发动机点火时间方法

为了获得缩短短时间工作固体发动机点火时间的方法,建立了短时间工作发动机点火过程瞬态模型,确定了影响发动机点火时间的关键因素.采用理论分析和试验验证相结合的方法,分析了燃烧室装药结构对点火时间的影响.结果表明,通过合理设计燃烧室装药结构,缩短推进剂燃烧阶段的时间,可以有效缩短短时间工作发动机的点火时间.