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.     

大型疏绕螺线圈组磁场的仿真与测试

为解决低频强磁场模拟试验设备中磁场发生线圈为一大型疏绕螺线圈组,其磁场分布无法利用现有的适用于密绕情形公式进行计算的实际问题,采用Ansys仿真对其磁感应强度及其均匀性进行了计算和分析,并结合试验测试进行了验证。研究结果表明,低频强磁场模拟试验系统为相关技术指标和磁场受试空间的确定提供了直接依据。     

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。