FPGA芯片的多路模拟信号源设计

基于国产FPGA芯片FMK50设计了一种多路高精度模拟信号源。设计由FPGA控制14位高精度DAC完成D/A转换,将产生的信号通过高速模拟开关及采样保持电路实现96路输出;采用内部ADC配合上位机设计自检模块对96路输出信号进行回采与标定。测试结果表明,系统在100%国产化的基础上稳定输出可配置的0～5 V电压信号且精度优于0.2%FS,自检模块设计大大提高了系统的输出精度及自动化程度。     

面向地理信息服务链的工作流技术应用

与地理信息服务需求不断扩大相适应,地理信息服务从单一的服务模式走向服务链的集合.本文分析了地理信息服务链在结构和流程上的需求,探讨工作流技术在地理信息服务链中的应用.     

高职计算机基础课程改革的现状与分析

计算机基础课程是高职学生入校的必修课程,笔者对该门课程现阶段改革的方法加以探讨,结合在实际教学工作中的经验,提出改革的新思路。     

Constructing Facial Identity Surfaces for Recognition

We present a novel approach to face recognition by constructing facial identity structures across views and over time, referred to as identity surfaces, in a Kernel Discriminant Analysis (KDA) feature space. This approach is aimed at addressing three challenging problems in face recognition: modelling faces across multiple views, extracting non-linear discriminatory features, and recognising faces over time. First, a multi-view face model is designed which can be automatically fitted to face images and sequences to extract the normalised facial texture patterns. This model is capable of dealing with faces with large pose variation. Second, KDA is developed to compute the most significant non-linear basis vectors with the intention of maximising the between-class variance and minimising the within-class variance. We applied KDA to the problem of multi-view face recognition, and a significant improvement has been achieved in reliability and accuracy. Third, identity surfaces are constructed in a pose-parameterised discriminatory feature space. Dynamic face recognition is then performed by matching the object trajectory computed from a video input and model trajectories constructed on the identity surfaces. These two types of trajectories encode the spatio-temporal dynamics of moving faces.     

Image coding quality assessment using fuzzy integrals with a three-component image model

Based on importance measures and fuzzy integrals, a new assessment method for image coding quality is presented in this paper. The proposed assessment is based on two subevaluations. In the first subevaluation, errors on edges, textures, and flat regions are computed individually. The errors are then assessed using an assessment function. A global evaluation with Sugeno fuzzy integral is then obtained based on the importance measure of edge, texture, and flat region. In the second subevaluation, an importance measure is first established depending on the types of regions where errors occur, a subtle evaluation is then obtained using Sugeno fuzzy integral on all pixels of the image. A final evaluation is obtained based on the two subevaluations. Experimental results show that this new image quality assessment closely approximates human subjective tests such as mean opinion score with a high correlation coefficient of 0.963, which is a significant improvement over peak signal-to-noise ratio, picture quality scale, and weighted mean square error, three other image coding quality assessment methods, which have the correlation coefficients of 0.821, 0.875, and 0.716, respectively.     

基于特征映射的互联网频繁模式识别算法

提出了一种基于特征映射的互联网频繁模式识别算法,采用特征映射与聚类相结合的方法,解决了SPADE算法不能反映类信息的问题与大量数据聚类时的效率低下,同时,提出了比较合理的频繁模式定量评价体系,从而完成了识别系统的整体设计,对于处理互联网海量用户数据有着相当重要的作用,同时,可以根据此算法提供个性化推荐等服务来提升用户体验.     

A super resolution approach for spectral unmixing of remote sensing images

It is well known that coarse spatial resolution is an important factor for the occurrence of mixed pixels in remote sensing images, and conventional approaches for spectral unmixing adopt various techniques on spectral dimension only in a fixed spatial resolution. In this article, a super resolution (SR) approach for spectral unmixing is proposed, based on the assumption that increasing the spatial resolution helps to retrieve the composition of a pixel. Firstly, a remote sensing image is downscaled into an SR image using example-based kernel ridge regression (EBKRR). Secondly, the SR image is classified using supervised hard classification, and then the class map is decomposed into thematic class layers. Thirdly, the thematic class layers are upscaled into the original spatial resolution with an averaging operation, and the abundance maps are finally derived. In two simulated data-based experiments and one ground data-based experiment, this approach was compared with linear spectral mixture analysis (LSMA) and artificial neural network (ANN)-based spectral unmixing methods. The accuracy assessment indicated that the SR approach outperformed LSMA and ANN under measurements of mean absolute error and absolute bias in the three experiments.     

一种基于kNN的控制关系分析方法

控制关系(dominant relationship)在Skyline计算、Rank-Aware查询处理以及市场分析等方面有着非常广泛的应用,自提出以来受到越来越多的关注.对于一个N维的数据集,其中的一个点p能控制另一个点q,当且仅当p在各个维上的值都不比q差,而且至少在一个维上的值比q要好.在最近的研究工作中指出,基于以上定义的控制关系可以用于市场分析中的产品定位问题,对于一个产品而言,控制能力越强(能控制的顾客越多)该新产品就越好.但是考虑到一个产品要在各个属性上都有非常好的表现是非常困难的,放松了控制关系的定义,认为当一个产品在各个属性上的取值都与顾客的偏好"近似"时,该产品就能控制这个顾客(即能满足该顾客的要求).另外此前的工作在分析产品的市场定位时没有考虑竞争对手的影响,导致分析的结果不能用于实际应用.基于以上考虑,定义了一种新的基于kNN的控制关系,并将其用于市场竞争且资源受限情况下的产品分析和市场定位问题.在R*树的基础上,提出了一种新的控制关系分析算法.实验验证了所提出的方法是有效的.     

Artistic preprocessing for painterly rendering and image stylization

A practical image enhancing technique is presented as a preprocessing step for painterly rendering and image stylization, which transforms the input image mimicking the vision of artists. The new method contains mainly two parts dealing with artistic enhancement and color adjustment, respectively. First, through feature extraction and simplification, an abstract shadow map is constructed for the input image, which is then taken as a guide for emphasizing the light–shadow contrast and the important shadow lines. Next, to simulate the intense color emotion often subjectively added by the artist, a color adjustment technique is proposed to generate lively colors with sharp contrast imitating the artistic vision. The preprocessing operation is compatible with existing stylization and stroke-based painterly rendering techniques, and it can also produce different types of stylization results independently.     

对高师地理教材教法课程教学改革的思考

联系中学新课程标准的实施对中学地理教师教学能力和素质的要求,探讨了高等师范学校的地理教材教法课程在教学内容、教学形式、考核内容及方式方面的改革.