计算机输入设备的频谱检测与分析

利用频谱分析仪对计算机输入设备工作时发射的辐射信号进行测试,获取输入设备辐射信号的频谱数据并进行相应的频谱特性分析。找出其泄漏的主要频段和特点,为输入设备的防护提供依据。     

基于外观的复合属性学习的细粒度识别

由于语义可理解性及共享性,视觉属性作为刻画对象的中间特征表示在众多领域得到了广泛应用。视觉属性学习中,大量的人工成本用于属性定义和标注,因此难以避免地引入了主观偏见,属性表示的类别判别性难以保证,尤其面临对判别性要求较高的细粒度识别任务时更为明显。复合属性符合人类认知规律以及对象复杂多模分布的事实,从刻画对象的分布入手,以较低廉的代价建立兼具一定描述能力及较好判别能力的特征表示,以应对细粒度识别任务对判别特征和判别模型的较高要求。在细粒度识别代表性公开数据集CUB上验证了所提方法的有效性。在细粒度识别任务中,复合属性表现出比人工定义的属性以及类别判别属性更优的性能。     

HFC网络MAC协议的三叉树冲突化解算法分析

对HFC网络中普遍采用的三叉树冲突化解算法进行分析，介绍树冲突化解算法的两种栈管理模式：FIFO(先进先出)模式和LIFO(后进先出)模式，并举例说明FIFO和LIFPO的冲突化解过程。     

Ionic Modulation of Interfacial Magnetism in Light Metal/Ferromagnetic Insulator Layered Nanostructures

Ferromagnetic insulator thin film nanostructures are becoming the key component of the state‐of‐the‐art spintronic devices, for instance, yttrium iron garnet (YIG) with low damping, high Curie temperature, and high resistivity is explored into many spin–orbit interactions related spintronic devices. Voltage modulation of YIG, with great practical/theoretical significance, thus can be widely applied in various YIG‐based spintronics effects. Nevertheless, to manipulate ferromagnetism of YIG through electric field (E‐field), instead of current, in an energy efficient manner is essentially challenging. Here, a YIG/Cu/Pt layered nanostructure with a weak spin–orbit coupling interaction is fabricated, and then the interfacial magnetism of the Cu and YIG is modified via ionic liquid gating method significantly. A record‐high E‐field‐induced ferromagnetic resonance field shift of 1400 Oe is achieved in YIG (17 nm)/Cu (5 nm)/Pt (3 nm)/ionic liquid/Au capacitor layered nanostructures with a small voltage bias of 4.5 V. The giant magnetoelectric tunability comes from voltage‐induced extra ferromagnetic ordering in Cu layer, confirmed by the first‐principle calculation. This E‐field modulation of interfacial magnetism between light metal and magnetic isolator may open a door toward compact, high‐performance, and energy‐efficient spintronic devices.     

Neural networks with higher-order nonlinearity

Neural networks for associative memory based on the Hopfield relaxation model and matched filtering techniques with higher-order nonlinearity are proposed. These high-order models show dramatic improvement in memory storage capacity and error-correction capability in comparison to conventional binary autoassociative models     

Noise removal using fourth-order partial differential equation with applications to medical magnetic resonance images in space and time

We introduce a new method for image smoothing based on a fourth-order PDE model. The method is tested on a broad range of real medical magnetic resonance images, both in space and time, as well as on nonmedical synthesized test images. Our algorithm demonstrates good noise suppression without destruction of important anatomical or functional detail, even at poor signal-to-noise ratio. We have also compared our method with related PDE models.     

A review on Ti3C2Tx-based nanomaterials:synthesis and applications in gas and humidity sensors

Ti3C2Tx,which is a novel two-dimensional (2D)material,has received enormous interest in the field of sensor technology due to its large surface area,excellent e...     

氧化镍薄膜气体传感器性能提升

本文的目的在于优化甲醛气体传感器.微型甲醛气体传感器设计是以石英玻璃当作基材,白金(Pt)被当作微型加热器电阻来加热感测层,并以氧化镍(NiO)薄膜作为感测层.当环境内有甲醛气体存在时,NiO薄膜层上导电度会增加,因而导致感测层电阻值降低.此微传感器,膜厚为0.34μm,在300℃反应时间只需6秒,灵敏度可达13.5 kΩ/ppb,最低侦测限度可以量测到40 ppb. 而本研究中针对不同的甲醛气体浓度,分别添加金当其催化剂、玻璃基材上共溅镀氧化镍与氧化铝、并比较有无指叉电极、改变基材温度…等,以提升其氧化镍薄膜感测性能.     

一种战术通信数据组播实现方法

在战术通信系统中,一发多收的组播业务的应用越来越广泛。战术通信中的组播业务往往要求具备高适变性和高实时性,而民用网络中的IP组播、应用层组播均存在一定局限性,无法满足这些要求。针对这个问题,通过对现有IP组播和应用层组播技术特点和不足进行分析,提出了一种基于自定义协议和名址分离的战术通信数据组播设计与实现方案,可以很好地应对战术通信系统的高实时性、低带宽、高动态等特性需求。试验验证了此方案下组播业务需求的满足情况,测试结果表明,所提出的方案可有效提高组播数据在战术通信系统中的传输效率,为战术通信系统的通用组播方案设计提供了参考。     

A novel integrated microfluidic platform to perform fluorescence in situ hybridization for chromosomal analysis

The fluorescence in situ hybridization (FISH) technique has been commonly employed to detect the chromosomal abnormalities. However, applications of this technique are limited due to its lengthy process and labor-intensive sample preparation. In this study, a novel integrated microfluidic chip capable of performing the entire FISH protocol automatically was reported. This novel technique can achieve several advantages, including reduce the consumption of bio-samples and reagents, automation and rapid analysis compared to the conventional method. In this study, several functional microfluidic devices were integrated on a single chip to perform automatic FISH on the microfluidic platform. Experimental data demonstrated that the developed microfluidic system successfully provided superior performance for probing the chromosomal abnormality of cells. Furthermore, the novel microfluidic system performed the entire process automatically within 3 h, where the conventional method required 10 h to perform the entire protocol manually. This data indicated superior performance of the novel method. Our findings conclude that the novel integrated FISH protocol is more convenient to perform large quantities of samples, which can be used in clinical trials.