学习控制技术·方法应用的发展新动向

分析和概述了当前学习控制系统所采用的技术、学习方法及应用的发展新动向 .从所采用的技术来看 ,学习控制正在从采用单一的技术向采用混合技术的方向发展 ;从学习方法和应用来看 ,学习控制正在从采用较为简单的参数学习向采用较为复杂的结构学习、环境学习和复杂对象学习的方向发展     

采用远动通信标准服务在控制中心实现变电站的程序化控制

分析现阶段在远方控制中心实现程序化控制的两种方案("黑盒"方案和自定义远动通信服务的方案)的特点及存在的问题。为解决这些问题提出采用远动通信标准服务在控制中心实现变电站的程序化控制。该方案采用遥测表示态、步骤及执行状态,采用设定或者遥控表示程序化控制命令,采用文件服务读取操作票,采用设定命令切换定值区,采用遥控表示软压板的投切和操作的停止、暂停和继续,采用扩展服务读取定值。     

家用学习、游戏配置

微星FM2-A85XMA＋E35采用A85芯片组打造,支持最新的采用SocketFM2接口的A4／A6／A8和A10APU。主板采用MicroATX板型,并采用微星军规用料设计。处理器供电方面,主板采用成熟的5相供电设计,每相供电均采用了超低内阻MOSFET、全封闭式电感和日系全固态电容,可以充分满足中、高端处理器的供电需求。     

交易中间件在医疗保障系统中的应用

园区医疗保障系统采用Tuxedo交易中间件技术为核心技术,面向交易、以客户为中心、系统采用C/A/S体系结构,客户端开发工具采用PowerBuilder,中间件用BEA Tuxedo,数据库采用Oracle,服务端采用AIX。医疗保障系统能够保证独立性和安全性,能够满足所有网点同时使用。     

一种基于Internet的电子政务安全对策

为了满足电子政务中信息的机密性、完整性和不可否认性,提出了一种基于Internet的电子政务安全对策,该对策采用PKI系统实现身份认证,采用存储加密及传输加密系统,保证数据的传输和存储安全,采用灾难恢复系统抵御大规模灾难,采用日志水印系统保证日志的完整性和不可抵赖性,采用访问控制策略系统按照不同安全级别对资源访问实施严格的访问控制。     

柴油机电液调速系统控制的研究

车用柴油机电液调速系统的控制,具有非线性、时变、非稳定等特点,柴油机调速控制采用采用模糊自整定PID控制和采用传统PID控制两种控制算法,都难以达到满意的控制效果。本文采用非线性控制器来控制其效果非常明显。     

家庭智能化网络研究与典型设计

为促进家庭智能化网络技术的开发和应用,介绍了一种家庭智能化网络的典型设计方案。系统的网络通讯与控制结构采用面向对象技术和分布式系统,网关设备采用嵌入式系统的构造,遥控功能设计采用浏览器/服务器的方式实现。本方案的设计先进性、创新性、灵活性和可靠性高,具有较大的研究意义和推广应用价值。     

软件调试在基于虚拟仪器的脉冲计数系统开发中的应用

系统采用PC机对单片机采集到的脉冲数显示和保存,PC机中的程序采用虚拟软件LabVIEW编写.在系统开发中采用Proteus、Labview、Keil C51和虚拟串口链接软件联调,模拟整个系统的运行,其仿真运行结果理想.     

一种高性能低噪声数据采集卡的设计

针对目前国内USB接口的数据采集产品存在精度低、采样率低、数据传输速率低的问题,设计了一种高性能低噪声数据采集卡。该数据采集卡采用高速差分放大器AD8132进行前置放大;采用CPLD和SRAM构成大容量FIFO;采用USB2.0总线技术进行数据传输;采用独立时钟为CPLD和AD转换器提供精确的同步时钟信号,从而降低时钟相位噪声;采用VC++设计上位机应用程序,用于分析和处理数据。测试结果表明,该数据采集卡具有噪声低、传输速率快、精度高等优点。     

基于单片机的多路温度监测系统设计

设计一个宽量程、高精度的多路温度监测系统。采用K型热电偶作为温度传感器,信号调理电路采用多路开关CD4051和AD595芯片,模拟与数字信号的转换采用转换器ADC0809,单片机则采用性价比较高的AT89C52型号单片机,使用单片机C语言进行编程,采用仿真软件Proteus进行测试仿真,通过编程、调试,所设计的多路温度监测软件系统工作稳定、测量精度高,具有一定的现实意义和应用价值。     

Motion block based video super resolution

This paper presents a new video super resolution technique, based on the motion and static areas of the low resolution video frames. In order to separate the motion and static blocks, a block motion estimation method is performed between a reference and its neighboring frames. Among the motion blocks, the occluded blocks are identified using an adaptive threshold applied on each block individually. Structure-adaptive normalized convolution (SANC) reconstruction method is used to generate the high resolution static and motion blocks where discrete wavelet transform (DWT) based interpolation is used to produce the high resolution occluded blocks. The static and motion blocks are combined into a high resolution frame. Finally, a sharpening process is performed on the high resolution frame in order to generate the super resolved high resolution output frame. The experimental results show that the proposed technique provides significantly better qualitative visual results as well as quantitative higher PSNR than the state of the art video super resolution algorithms.     

非负矩阵分解融合高光谱和多光谱数据

由于光谱分辨率和空间分辨率的制约以及物理条件的限制,高光谱数据具有很高的光谱分辨率而其空间分辨率却很低。因此,一般高光谱数据的空间分辨率往往低于仅有几个波段的多光谱数据的空间分辨率。高光谱数据和多光谱数据的融合可以得到同时具有高空间分辨率和高光谱分辨率的数据,进而应用于更高空间分辨率下地物的识别和分类。非负矩阵分解(Nonnegative Matrix Factorization)算法用于实现低空间分辨率高光谱数据和高空间分辨率多光谱数据的融合。首先利用顶点成分分析法VCA(Vertex Component Analysis)分解高光谱数据,得到初始的端元波谱矩阵和端元丰度矩阵;然后用非负矩阵分解算法交替地对高光谱数据和多光谱数据进行分解,得到高光谱分辨率的端元波谱矩阵和高空间分辨率的丰度矩阵;最后两个矩阵相乘得到高空间分辨率和高光谱分辨率的融合结果。在每一步非负矩阵分解过程中,数据之间的传感器观测模型用于分解矩阵的初始化。AVIRIS和HJ-1A数据实验结果分析表明:非负矩阵分解算法有效提高了高光谱数据的所有波长范围内波段数据的空间分辨率,而高精度的融合结果可用于地物的目标识别和分类。     

Simultaneous estimation of super-resolved scene and depth map from low resolution defocused observations

This paper presents a novel technique to simultaneously estimate the depth map and the focused image of a scene, both at a super-resolution, from its defocused observations. Super-resolution refers to the generation of high spatial resolution images from a sequence of low resolution images. Hitherto, the super-resolution technique has been restricted mostly to the intensity domain. In this paper, we extend the scope of super-resolution imaging to acquire depth estimates at high spatial resolution simultaneously. Given a sequence of low resolution, blurred, and noisy observations of a static scene, the problem is to generate a dense depth map at a resolution higher than one that can be generated from the observations as well as to estimate the true high resolution focused image. Both the depth and the image are modeled as separate Markov random fields (MRF) and a maximum a posteriori estimation method is used to recover the high resolution fields. Since there is no relative motion between the scene and the camera, as is the case with most of the super-resolution and structure recovery techniques, we do away with the correspondence problem.     

基于彩色图像局部结构特征的深度图超分辨率算法

运用飞行时间相机来获取场景深度图像非常方便,但由于硬件的限制,得到的深度图像分辨率非常低,无法满足实际的需要.文中结合同场景的高分辨率彩色图像来制定优化框架,将深度图超分辨率问题转化为最优化问题来求解.具体来说,将彩色图像和深度图像在局部小窗口内具有的近似线性关系通过拉普拉斯矩阵的方式融合到目标函数的正则约束项中,运用彩色图像的局部结构参数模型,将该参数模型融入到正则约束项中对深度图的局部边缘结构提供更进一步的约束,再通过最速下降法有效地求解该优化问题.实验表明文中算法较其它算法无论在视觉效果还是客观评价指标下都可得到更好的结果.     

基于联合双边滤波的纹理合成上采样算法

提出了一个新的纹理合成的上行采样算法,即利用现有的高分辨率的样本纹理作为先验引导条件,对合成的低分辨率的纹理进行插值,获取更好的高分辨率纹理合成结果.该算法的主要思想是基于联合双边滤波器进行纹理合成上采样,对低分辨率合成纹理应用空间滤波,而将一相似的边界滤波联合地应用在高分辨率的样本纹理上.该算法克服了传统的以光滑性为先验引导条件的上采样方法会导致图像特征模糊的缺点,使获得的上采样纹理图像保持纹理特征,同时视觉上光滑.文中给出了图像和视频纹理合成结果的上行采样算法.实验结果表明,文中的方法减小了优化纹理合成过程所需的时间和空间,获取了更好的图像和视频合成纹理上采样效果.     

高分辨率彩色微机图形显示系统

本文介绍了一种高分辨率彩色图形显示系统.它以IBM-PC/xT(AT)机及其长城0520等 兼容机为主处理机,配以自行研制的高分辨率图形控制板MAG-107,国际标准图形软件包 GKS、虚拟设备接口VDI等,具有分辨率高、彩色丰富、速度快、图形功能强、软硬件配套等特 色.     

Effects of spatial resolution ratio in image fusion

In image fusion, the spatial resolution ratio can be defined as the ratio between the spatial resolution of the high‐resolution panchromatic image and that of the low‐resolution multispectral image. This paper attempts to assess the effects of the spatial resolution ratio of the input images on the quality of the fused image. Experimental results indicate that a spatial resolution ratio of 1 : 10 or higher is desired for optimal multisensor image fusion provided the input panchromatic image is not downsampled to a coarser resolution. Due to the synthetic pixels generated from resampling, the quality of the fused image decreases as the spatial resolution ratio decreases (e.g. from 1 : 10 to 1 : 30). However, even with a spatial resolution ratio as small as 1 : 30, the quality of the fused image is still better than the original multispectral image alone for feature interpretation. In cases where the spatial resolution ratio is too small (e.g. 1 : 30), to obtain better spectral integrity of the fused image, one may downsample the input high‐resolution panchromatic image to a slightly lower resolution before fusing it with the multispectral image.     

Spatiotemporal fusion through the best linear unbiased estimator to generate fine spatial resolution NDVI time series

Spatiotemporal fusion (STF) technologies are commonly used to acquire high spatiotemporal resolution remote sensing observations. However, most STF technologies fail to consider the nonlinear variation in vegetation in the time domain. Based on the Best Linear Unbiased Estimator (BLUE), this paper proposed a novel STF algorithm (referred to BLUE) which accounts for the phenological characteristics of vegetation. First, annual time series of normalized difference vegetation index (NDVI) data with high spatial resolution but low temporal resolution is fitted using a double logistic function and used as the background field. Then, NDVI data with low spatial resolution but high temporal resolution is used as the observation field. The information in the background and observation fields is fused using the BLUE to obtain high spatiotemporal resolution NDVI data. The proposed algorithm was used to produce dense time series of 30 m resolution NDVI data for a 10 km × 10 km experimental area in 2014. The experimental results demonstrate that the accuracy of fusion results from the proposed BLUE method are higher than those from the enhanced spatial and temporal adaptive reflectance fusion model (ESTARFM) and Linear Mixing Growth Model (LMGM), especially when the temporal component of surface heterogeneity is dominant. The proposed algorithm has broad prospects in vegetation monitoring at high spatiotemporal resolution.     

Models for low resolution slit scan measurements based on high resolution laser scanning image analysis: DNA and nuclear dimensions

A laser scanning microscope has been developed and employed to make high precision measurements of cells from clinical cervical samples. These specimens have been stained with the DNA specific fluorochrome mithramycin and the fluorescent images analyzed to give information on nuclear size, DNA content and nuclear shape. This information has been used to develop low resolution parameters as measured with flow cytometers, thus permitting some comparisons between high resolution and low resolution features as measured from the same cells. The results indicate that both low resolution flow slit scan and high resolution pattern recognition techniques yield the same average cellular information. However, low resolution methods are insensitive to shape and the influence of shape on the broadening of low resolution features is now under investigation.