惯性聚变能源激光驱动器研究进展

简要叙述了惯性聚变能源（IFE）的基本概念以及它对驱动器的基本指标要求,然后重点介绍了基于高平均功率激光器技术路线的驱动器研究进展,以及尚需要解决的关键技术问题。最后,介绍了IFE涉及到的其它关键技术问题及发展规划。     

正交实验法优化六方氮化硼薄膜的制备工艺

采用射频磁控溅射法,在Si(100)衬底上制备了适用于声表面波(SAW)器件的氮化硼(BN)薄膜。通过正交实验法,以薄膜中六方相的纯度和取向为指标,优化了磁控溅射方法制备六方BN(h-BN)薄膜的工艺条件。利用傅里叶变换红外光(FTIR)谱和X射线衍射(XRD)谱对薄膜进行了表征,实验结果表明,溅射功率为300W、无衬底负偏压、温度为400℃和N2∶Ar=7∶8vol.%时可以制备出高纯度且高c-轴择优取向的h-BN。     

嵌入式MPEG-2实时传输流分析系统设计

提出一种嵌入式实时MPEG-2传输流分析系统.描述了软硬件的架构,叙述了实现流程和实现过程中所需要注意的关键问题,并且和其它码流分析仪作了比较,指出该系统的优势和使用范围.     

Campus View: An Innovative Location and Context-Aware Video Sharing Application on Smart Phone

Mobile devices have steadily gained acceptance as a multimedia platform, not only that, one of the most valuable pieces of contextual information for an intelligent mobile application is the user??s location. The university campus is an interesting application environment for location-based and context-aware mobile services: wherever the students are, they are eager to announce to others and want to know what happens in the university campus, even alumni always care about the latest in his or her campus. The Campus View, what is described in this article, is a smart-phone based context and location-aware video sharing mobile application implemented on Android 2.1. It first gives a full panorama to one Chinese university campus, which will provide a campus overview and variations to alumni and potential students. Different from Street-view of Google which was only created once and demands not to drive anywhere more than once, our campus panorama is timely updated by our DIYed Street-view camera. What??s more, the application users inside the campus can use it to recode the latest happenstance and then upload the video short with Geo-information to the server. The recoded video short will be further shared as a H. 264 stream attached to a specific panorama. This paper presents the development framework of Campus View application and an evaluation of key framework components to assess their consumption of mobile device??s resources.     

A novel sliding-mode observer for indirect position sensing ofswitched reluctance motor drives

A switched reluctance motor (SRM) drive generally requires a rotor position sensor for commutation and current control. However, the use of this position sensor increases both cost and size of the motor drive and causes limitations for industrial applications. In this paper, a novel indirect position sensing technique, namely, the sliding-mode observer, is proposed for SRM drives. The corresponding design approach and operating performance are provided to illustrate the fast convergence and high robustness of the observer against disturbances and variations     

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。