Precision fabrication techniques and analysis on high-Q evanescent-mode resonators and filters of different geometries

High-Q evanescent-mode resonators and filters are realized by both silicon micromachining and layer-by-layer polymer processing. Capacitively loaded cavities can be reduced to a size much smaller than a wavelength, but still have a much higher unloaded Q than lumped elements. The loaded resonators are utilized for reduced-size filters with a low insertion loss enabled by the relatively high-Q factor. The small fabrication tolerances of silicon micromachining and polymer stereolithography processing enable the realization of highly loaded evanescent-mode resonators and filters. A 14-GHz resonator micromachined in silicon has a volume of 5 mm /spl times/ 5 mm /spl times/ 0.45 mm, representing a resonant frequency reduction of 66.8% compared to an empty cavity of the same dimensions. The polymer-based fabrication is used to create resonators of different three-dimensional geometries with Q's up to 1940 and frequency reductions up to 49.9%. An insertion loss of 0.83 dB is measured in a 1.69% bandwidth filter created by polymer processing with a frequency reduction of 47% compared to an unloaded cavity. The frequency sensitivity to fabrication tolerances of these structures is also analyzed.     

多级液压缸换级缓冲仿真方法研究

某型号在作战流程中,导弹完成快速起竖后需将发射架快速回收到位,发射架起竖、下放时间及过程中的冲击响应对型号的作战准备时间及发射安全性有重要影响,多级起竖液压缸在发射架快速回收过程换级时会产生较大的冲击振动,为解决这一问题,液压缸在换级时研制了节流缓冲装置。针对此技术开展仿真方法研究,对液压系统起竖回路及缓冲装置进行了理论分析,基于某型号多级起竖液压缸建立机械液压联合仿真模型,通过与试验数据的对比,验证了该仿真方法的正确性,对控制流程优化和液压系统缓冲参数的确定具有指导作用。     

“购菜系统”网站制作促进综合能力的提高--记学业指导组以老带新、自我管理与维护的项目

我学院学业指导组的工作包括：与企业沟通,了解企业对学生学业学习的需求;通过网络资源查询,掌握专业发展的方向,接触前沿技术;借助岗位需求信息,进行分析,总结课程体系中的不足;发掘特长生,开展课外科技活动;抓学风,促教学等等。本文陈述的是特长生利用课余时间,延展学习内容的项目制作与实施。     

A coding scheme using global motion estimation for AVS P-frame

Block matching has been used for motion estimation and motion compensation in the Audio and Video Standard （AVS） for years. While having an acceptable performance in describing motion between frames, it requires quite a few bits to represent the motion vectors. In certain circumstances, the use of global motion estimation and compensation would perform equally well or even better than the block matching in terms of motion accuracy, while it results in the coding of global motion model parameters. In this letter, we modify an AVS coder by adding （1） six global motion model parameters to the frame header, and （2） mode selection among INTRA, SKIP, INTER-16×16, INTER-16×8, INTER-8×16, INTER-8×8, and Global Motion Compensation （GMC） modes by Lagrange optimal rate-distortion criteria. Simulation results demonstrate that over 0.1dB improvement in PSNR is obtained compared to the AVS coder for an average coded P-frame with the same bitrate.     

Weakly supervised target detection in remote sensing images based on transferred deep features and negative bootstrapping

Target detection in remote sensing images (RSIs) is a fundamental yet challenging problem faced for remote sensing images analysis. More recently, weakly supervised learning, in which training sets require only binary labels indicating whether an image contains the object or not, has attracted considerable attention owing to its obvious advantages such as alleviating the tedious and time consuming work of human annotation. Inspired by its impressive success in computer vision field, in this paper, we propose a novel and effective framework for weakly supervised target detection in RSIs based on transferred deep features and negative bootstrapping. On one hand, to effectively mine information from RSIs and improve the performance of target detection, we develop a transferred deep model to extract high-level features from RSIs, which can be achieved by pre-training a convolutional neural network model on a large-scale annotated dataset (e.g. ImageNet) and then transferring it to our task by domain-specifically fine-tuning it on RSI datasets. On the other hand, we integrate negative bootstrapping scheme into detector training process to make the detector converge more stably and faster by exploiting the most discriminative training samples. Comprehensive evaluations on three RSI datasets and comparisons with state-of-the-art weakly supervised target detection approaches demonstrate the effectiveness and superiority of the proposed method.     

射频溅射沉积SiO2膜的工艺及其结构性能研究

利用自制的磁控溅射沉积设备,针对影响SiO2薄膜沉积速率的氩气流量,氧气分压两个关键参数进行工艺研究,并通过扫描电子显微镜(SEM)对沉积完成的Si不O2薄膜表面、剖面结构质量进行表征,结果表明,射频溅射沉积的SiO2薄膜均匀、致密,具有良好的结构性能.     

大数据时代下高校信息化建设构想

介绍了什么是大数据技术,通过对大数据技术特点的分析认为,大数据技术的"4V"特点,在高校教学、科研和社会服务信息化平台建设上有很好的应用,是高校信息化建设的一个方向,通过大数据技术开发的高校信息化平台,可以给师生提供更好的、更优的个性化需求。     

一种用于MIMO系统的三频段天线阵设计

介绍一种用于MIMO系统无线移动终端的小型化天线阵.单个天线采用平面倒F天线(PIFAs),地板尺寸为100 mm x60 mm,天线工作频率:885-915 MHz,1 760～1 870 MHz和2 450～2 510 MHz.为了使天线阵的体积变小,天线之间的距离远小于半波长,这就带来了另外的问题:天线之间的耦合...     

Using covariance intersection for change detection in remote sensing images

In this paper, an unsupervised change detection technique for remote sensing images ac-quired on the same geographical area but at different time instances is proposed by conducting Co-variance Intersection (CI) to perform unsupervised fusion of the final fuzzy partition matrices from the Fuzzy C-Means (FCM) clustering for the feature space by applying compressed sampling to the given remote sensing images. The proposed approach exploits a CI-based data fusion of the membership function matrices, which are obtained by taking the Fuzzy C-Means (FCM) clustering of the fre-quency-domain feature vectors and spatial-domain feature vectors, aimed at enhancing the unsuper-vised change detection performance. Compressed sampling is performed to realize the image local feature sampling, which is a signal acquisition framework based on the revelation that a small collection of linear projections of a sparse signal contains enough information for stable recovery. The experi-mental results demonstrate that the proposed algorithm has a good change detection results and also performs quite well on denoising purpose.