高铁场景下联合天线与IOS单元选择的分布式IOS-SM传输方案

针对高铁场景下封闭车厢带来的高信号穿透损耗导致传输速率下降问题,提出一种分布式智能全表面（intelligent omni-surface,IOS）辅助空间调制（spatial modulation,SM）的传输方案。首先,采用SM技术保证索引信息部分不受穿透损耗的影响;然后,为了减小远距离IOS车窗的高路径损耗和功率损耗,根据最大化接收信噪比原则对分布式IOS遍历选择,激活最佳IOS车窗传输SM调制信息。最后,为了减小缺失直视路径增益对系统容量性能的影响,基于功率损耗模型,采用天线移除原则和排序选择方式,对接收天线和IOS单元进行动态选择激活。仿真结果表明,相比于传统中继转发和可重构智能超表面-空间调制（reconfigurable intelligence surface-SM,RIS-SM）方案,所提方案更适合高铁通信场景。并且在功率损耗模型下,联合天线与IOS单元选择的分布式IOS-SM方案仍能够保证系统高性能传输。     

新工科环境下“EDA技术”课程改革的探索

高校新工科人才培养的要求是培养一大批多样化、创新型卓越工程科技人才。针对培养要求切实做出积极的改革,首先重构EDA技术课程的教学时间,由线上和线下两部分组成。线上课要求完成课程视频学习、单元测验、讨论和期末测试;线下课堂要求完成见面课项目设计、实验课和期末考试。通过线上线下课堂教学的结合,加强过程性考核手段,完善学生学习评价机制。     

检测技术类专业课程的思政教育实践探索

高校专业课程课堂教学是实践思政教育的主战场。针对检测技术类课程专业理论知识教学内容,探索了课程思政教育方法。通过设计思政教学切入点、凝练思政元素,形成课程知识与思政内容深度融合、互为促进的课程体系,实现了价值塑造与专业培养的目标融合。     

面向创新能力培养的数电混合教学实践

随着FPGA技术的飞速发展,传统的“数字电子技术”教学如何在基础理论和实践能力培养之间找到新的平衡点成为课程教学的关键。结合“数字电子技术”课程特点,通过在教学设计中精心组织教学内容、设计配套演示教具、增强实验教学针对性、课后作业量少次多突出过程评价以及四位一体系统推进,有效提高了教学效果。     

Soft Robotic-Adapted Multimodal Sensors Derived from Entirely Intrinsic Self-Healing and Stretchable Cross-Linked Networks

Flexible sensing technologies that play a pivotal role in endowing robots with detection capabilities and monitoring their motions are impulsively desired for intelligent robotics systems. However, integrating and constructing reliable and sustainable flexible sensors with multifunctionality for robots remains an everlasting challenge. Herein, an entirely intrinsic self-healing, stretchable, and attachable multimodal sensor is developed that can be conformally integrated with soft robots to identify diverse signals. The dynamic bonds cross-linked networks including the insulating polymer and conductive hydrogel with good comprehensive performances are designed to fabricate the sensor with prolonged lifespan and improved reliability. Benefiting from the self-adhesiveness of the hydrogel, strong interfacial bonding can be formed on various surfaces, which promotes the conformable integration of the sensor with robots. Due to the ionic transportation mechanism, the sensor can detect strain and temperature based on piezoresistive and thermoresistive effect, respectively. Moreover, the sensor can work in triboelectric mode to achieve self-powered sensing. Various information can be identified from the electrical signals generated by the sensor, including hand gestures, soft robot crawling motions, a message of code, the temperature of objects, and the type of materials, holding great promise in the fields of environmental detection, wearable devices, human-machine interfacing, and robotics.     

Femtosecond Laser 4D Printing of Light-Driven Intelligent Micromachines

Intelligent micromachines that respond to external light stimuli have a broad range of potential applications, such as microbots, biomedicine, and adaptive optics. However, artificial light-driven intelligent micromachines with a low actuation threshold, rapid responsiveness, and designable and precise 3D transformation capability remain unachievable to date. Here, a single-material and one-step 4D printing strategy are proposed to enable the nanomanufacturing of agile and low-threshold light-driven 3D micromachines with programmable shape-morphing characteristics. The as-developed carbon nanotube-doped composite hydrogel simultaneously enhanced the light absorption, thermal conductivity, and mechanical modulus of the crosslinked network, thus significantly increasing the light sensitivity and response speed of micromachines. Moreover, the structural design and assembly of asymmetric microscale mechanical metamaterial unit cells enable the highly efficient additive nanomanufacturing of 3D shape-morphable micromachines with large dynamic modulation and spatiotemporal controllability. Using this strategy, the world's smallest artificial beating heart with programmable light-stimulus responsiveness for the cardiac cycle is successfully printed. This 4D printing method paves the way for the construction of multifunctional intelligent micromachines for bionics, drug delivery, integrated microsystems, and other fields.     

Short packet communication in underlay cognitive network assisted by an intelligent reflecting surface

We propose short packet communication in an underlay cognitive radio network assisted by an intelligent reflecting surface (IRS) composed of multiple reconfigurable reflectors. This scheme, called the IRS protocol, operates in only one time slot (TS) using the IRS. The IRS adjusts its phases to give zero received cumulative phase at the secondary destination, thereby enhancing the end-to-end signal-to-noise ratio. The transmitting power of the secondary source is optimized to simultaneously satisfy the multi-interference constraints, hardware limitations, and performance improvement. Simulation and analysis results of the average block error rates (BLERs) show that the performance can be enhanced by installing more reconfigurable reflectors, increasing the blocklength, lowering the number of required primary receivers, or sending fewer information bits. Moreover, the proposed IRS protocol always outperforms underlay relaying protocols using two TSs for data transmission, and achieves the best average BLER at identical transmission distances between the secondary source and secondary destination. The theoretical analyses are confirmed by Monte Carlo simulations.     

Joint frame rate adaptation and object recognition model selection for stabilized unmanned aerial vehicle surveillance

We propose an adaptive unmanned aerial vehicle (UAV)-assisted object recognition algorithm for urban surveillance scenarios. For UAV-assisted surveillance, UAVs are equipped with learning-based object recognition models and can collect surveillance image data. However, owing to the limitations of UAVs regarding power and computational resources, adaptive control must be performed accordingly. Therefore, we introduce a self-adaptive control strategy to maximize the time-averaged recognition performance subject to stability through a formulation based on Lyapunov optimization. Results from performance evaluations on real-world data demonstrate that the proposed algorithm achieves the desired performance improvements.     

用于超外差接收机提供本振源的高功率510 GHz单片集成三倍频器

本文介绍了一种基于砷化镓材料的高功率490~530 GHz单片集成三倍频器。基于提出的对称平衡结构,该三倍频器不仅可以实现良好的振幅和相位平衡,用来实现高效的功率合成,还可以在没有任何旁路电容的情况下提供直流偏置路径以保证高效倍频效率。同时,开展容差性仿真分析二极管关键电气参数与结构参数对倍频性能的影响研究,以便最大化提升倍频性能。最终,在大约80~200 mW的输入功率驱动下,研制的510 GHz三倍频,在490~530 GHz频率范围内,输出功率为4~16 mW,其中峰值倍频效率11%。在522 GHz频点处,该三倍频在218 mW的输入功率驱动下,产生16 mW的最大输出功率。该三倍频器后期将用于1 THz的固态外超外差混频器的本振源。     

基于5G移动通信网络的城市轨道交通PIS系统应用探究

5G移动通信网络采用新一代蜂窝移动技术,其数据传输速率高于第四代移动通信网络的十倍之多,将第五代移动通信网络应用于城市轨道交通PIS无线系统中,可改善目前基于无线局域网构建的PIS系统中通讯信号易干扰、故障多等弊端。本文从LTE-A技术、MIMO增强技术、MEC技术等5G移动通信关键技术为切入点,从城市轨道交通系统的核心层、接入层、应用层出发,构建全新的智慧轨道交通系统。