Enhanced Thermoelectric Properties of BiCuSeO/Polyaniline Composites

BiCuSeO/polyaniline (BCSO/PANI) bulk composites have been successfully fabricated by a ball-milling and hot-pressing method. Microstructure analysis shows that BCSO particles are well mixed and dispersed in the PANI matrix. Our results indicate that the Seebeck coefficient can be increased substantially by adding BCSO filler to the PANI matrix, especially for 40 wt.% BCSO (5–87 μV K^?1). Electrical conductivity and thermal conductivity both change slightly with the increasing filler content. The highest figure of merit, ZT, among these bulk composites is 0.004 at 341 K, which is almost 500 times greater than that of pure PANI.     

A survey on deploying mobile deep learning applications: A systemic and technical perspective

With the rapid development of mobile devices and deep learning, mobile smart applications using deep learning technology have sprung up. It satisfies multiple needs of users, network operators and service providers, and rapidly becomes a main research focus. In recent years, deep learning has achieved tremendous success in image processing, natural language processing, language analysis and other research fields. Despite the task performance has been greatly improved, the resources required to run these models have increased significantly. This poses a major challenge for deploying such applications on resource-restricted mobile devices. Mobile intelligence needs faster mobile processors, more storage space, smaller but more accurate models, and even the assistance of other network nodes. To help the readers establish a global concept of the entire research direction concisely, we classify the latest works in this field into two categories, which are local optimization on mobile devices and distributed optimization based on the computational position of machine learning tasks. We also list a few typical scenarios to make readers realize the importance and indispensability of mobile deep learning applications. Finally, we conjecture what the future may hold for deploying deep learning applications on mobile devices research, which may help to stimulate new ideas.     

滤波带宽对冲击响应谱的影响研究

目前利用冲击响应谱作为参考的冲击实验在国防事业、国家经济生活中得到广泛的应用,冲击响应谱也成为国防事业和经济生活中重要的参考标准,分析对冲击响应谱造成影响的因素,将有利于对冲击响应谱规范,为更好实现冲击实验提供精确的参数设置。实验过程中为了得出冲击信号滤波带宽对冲击响应谱的影响,利用霍普金森杆产生高g值,窄带宽的冲击信号,再结合信号分析软件对得到的数据进行处理,得出滤波带宽影响冲击响应谱的等冲区的结论。     

云南甘蔗花叶病原的电镜诊断

甘蔗属禾本科甘蔗属作物，学名Saccharum L,多年生草本植物，是主要的糖料作物。甘蔗由于长期以营养体种茎进行无性繁殖，不可避免地会导致病毒病在种苗中的积累，从而造成品种退化，减产与糖份下降。随着云南省甘蔗面积的不断扩大，随之而来的甘蔗病毒病也日益加剧，致使甘蔗的产量和品质受到严重影响。为解决甘蔗病毒病给生产带业的危害，在有关项目资助下，通过采集大量甘蔗病样进行了电镜负染检测、     

基于ARG模型匹配算法的人脸特征定位

本文研究了基于 ＡＲＧ（ Ａｔｔｒｉｂｕｔｅｄ Ｒｅｌａｔｉｏｎ Ｇｒａｐｈ）模型匹配算法的人脸图象的特征定位方法。该方法可有效地完成眼、口、眉的自动定位。基于人脸生理特征我们建立人脸图象的ＡＲＧ模型对人脸图象进行了精确的描述。在此基础上本义采用了连续型Ｈｏｐｆｉｅｌｄ神经网络模型并行处理进行ＡＲＧ模型匹配,通过能量函数极小化得到全局最优的特征定位结果。实验结果证实了该方法有效、稳定、且具有较快的收敛速度。     

NRZ伪随机码序列同步时钟提取

在光纤数字通信系统中,ＮＲＺ非归零码是一种最常见的基带信号。它本身不含有位同步时钟分量。只有对其进行非线性处理,转换成ＲＺ归零码后,方可提取出同步时钟,本文通过对ＮＲＺ,ＲＺ伪随机码序列进行频谱分析,得知当ＮＲＺ码变换成码元占空比为１／２的ＲＺ码时,所提取的同步时钟功率最强。     

窗口层对三结电池双层减反膜的影响

窗口层的厚度对高效三层太阳能电池具有重要影响。本文针对太阳能电池的地面应用,优化了三节电池（Ga0.5In0.5P/In0.02Ga0.98As/Ge）的双层反射膜（SiO2/TiO2, SiO2/ZnS）。同时讨论了在双层减反膜优化结构下,变化Al0.5In0.5P窗口层厚度引起反射率的变化。     

一种平衡设计压控振荡器和自动频率校准的快速锁定宽带频率综合器

A wideband fractional-N frequency synthesizer is implemented in a 65 nm CMOS process.It employs a wideband LC voltage-controlled oscillator(VCO) with optimized VCO gain(KVCO/and a sub-band step to improve automatic frequency calibration(AFC) efficiency at negligible expense of phase noise performance.An agile AFC is realized by direct mapping based on the division ratio,and optional redundant counting and comparing calibration is introduced accommodating PVT variations,which samples the reference clock using the prescaled VCO output as a discriminating clock.A charge pump with switched charging current is adopted to compensate for the loop bandwidth variation.Measurement results show this directly-mapped AFC locates the target sub-band in 100 ns and only needs 1.2 s for redundant calibration.The frequency synthesizer spans a frequency range from 0.62 to 1.52 GHz,with phase noise of-86 dBc/Hz at 10 kHz offset and-122 dBc/Hz at 1 MHz offset while consuming 9.76 mA from a 1.2 V supply.     

Focusing enhanced broadband metalens via height optimization

Metalenses are two-dimensional planar metamaterial lenses, which have the advantages of high efficiency and easy integration. Based on the method of spatial multiplexing, a metalens with a wide working waveband is designed by arranging TiO2 nanopillars under the resonance phase regulation. In addition, choosing an assistant metalens with optimized heights is effective to enhance metalens’s focusing, which is also illustrated in this paper. The metalens, designed with numerical aperture (NA) of 0.72 and center working wavelength of 600 nm, achieves the working waveband of 550—660 nm, the focus point’s size of below 420 nm, and the focusing efficiency of more than 30%.