Linguistic cost-sensitive learning of genetic fuzzy classifiers for imprecise data

Cost-sensitive classification is based on a set of weights defining the expected cost of misclassifying an object. In this paper, a Genetic Fuzzy Classifier, which is able to extract fuzzy rules from interval or fuzzy valued data, is extended to this type of classification. This extension consists in enclosing the estimation of the expected misclassification risk of a classifier, when assessed on low quality data, in an interval or a fuzzy number. A cooperative-competitive genetic algorithm searches for the knowledge base whose fitness is primal with respect to a precedence relation between the values of this interval or fuzzy valued risk. In addition to this, the numerical estimation of this risk depends on the entrywise product of cost and confusion matrices. These have been, in turn, generalized to vague data. The flexible assignment of values to the cost function is also tackled, owing to the fact that the use of linguistic terms in the definition of the misclassification cost is allowed.     

A Visual Lossless Image-Recompression Framework

In this paper, we propose a novel image recompression frame?work and image quality assessment (IQA) method to efficient?ly recompress Internet images. With this framework image size is significantly re...     

Backlit Keyboard Inspection Using Machine Vision

A robust system for backlit keyboard inspection is revealed. The backlit keyboard not only has changeable diverse colors but also has the laser marking keys. The keys on the keyboard can be divided into regions of function keys, normal keys, and number keys. However, there might have some types of defects:incorrect illuminating area, non-uniform illumination of specified inspection region (IR), and incorrect luminance and intensity of individual key. Since the illumination features of backlit keyboard are too complex to inspect for human inspector in the production line, an auto-mated inspection system for the backlit keyboard is proposed in this paper. The system was designed into the operation module and inspection module. A set of image processing methods were developed for these defects inspection. Some experimental results demonstrate the robustness and effectiveness of the proposed system.     

高职院校教务管理系统的设计

本文以职业技术学院教务管理系统为研究对象,依据多年从事教务管理开发经验,以对目前教务管理信息系统分析？比较为基础,以教育的职业性？实践性和开放性为原则,提出了适合职业院校教务管理系统的总体设计思路,以适应职业院校的教学管理特点、为培养高素质技术技能型人才提供保障。     

隔热板的太赫兹无损检测

为了研究太赫兹无损检测技术对复合材料与金属板黏合面粘接质量的检测能力,在隔热板上制造了不同特征的人工缺陷,并使用德国SynViewScan 300连续太赫兹波成像系统对样件进行了检测。结果表明,太赫兹波能够穿透复合材料,并获得复合材料与金属板的黏合面处的2维太赫兹图像,从图像中能够清晰地分辨出不同特征的缺陷。该研究结果为检测复合材料黏合质量及脱黏状况提供了有效的办法。     

环境监测质量管理信息系统的应用研究

互联网环境质量管理信息系统的开发和运用能够有效的为全国环境监测报告提供有力的数据支持,同时完善环境监测质量管理信息系统也是保证加强全国环境监测的基本要求,本文对信息系统在环境监测中的应用进行了研究,希望能够对提高环境质量有所帮助。     

大庆油田加密井地面工程项目质量及进度管理与控制研究

油田地面工程建设在油田管理工作中占有重要地位。油田地面工程建设作为一项持续不间断的工作,投资大,投资周期长,并直接影响到油田企业的产能建设成效。因此施工管理具有极其重要意义。本文主要结合油田A区块加密井产能建设地面工程项目开展研究,对项目组织管理与控制、项目进度管理与控制、项目质量管理与控制等方面如何如何进行管理进行了论述,对提高油田地面工程的质量,确保工程的运行效果具有一定的现实意义。     

多枚红外诱饵弹运动轨迹仿真

对于载机连续发射多枚红外诱饵弹的运动轨迹进行了仿真。首先考虑无动力燃烧型诱饵弹在发射后因为燃烧而导致质量损失的因素,建立了诱饵弹运动轨迹递归迭代计算模型,然后运用此模型计算了不同条件下的多枚诱饵弹发射后的运动轨迹,最后利用可视化技术对载机平台发射多枚诱饵弹的场景进行了可视化仿真。     

一种用于电视系统中的图像清晰度测量算法及实现

本文介绍了数字电视中用于增强图像画质的一种清晰度测量的方法,该方法使用图像中的频率信息、细节信息和局部图像的动态范围来判断当前输入的图像是一幅真实的高清图像还是在信号传输过程中被放大成高清信号的伪高清图像信号。从而利用得出的清晰度测量结果对真实高清图像信号和伪高清图像信号进行不同的清晰度和对比度调整。该方法的设计应用填补了数字电视图像后处理中对于原始信号检测的一个空白。本文介绍了该方法的基本原理和具体实现的算法,并讨论了该算法的硬件实现方案和代价。     

MgO含量对微波高Q介电材料电性能与微观结构的影响

借助典型的固相反应烧结机制,研究了MgO含量对微波高品质因数瓷介材料微观结构与介电性能参数影响的规律。结果表明:高温烧结的镁钛系瓷介质中,随着MgO含量增加,Mg2TiO4晶相的含量逐渐降低、瓷体晶粒由尖晶石型演变为氯化钠型结构,对应的微波介电常数出现缓慢降低,在10.10~13.37范围连续可调。当x=16时,在1 525℃/2 h烧成,可获得性能优良的(2+x)MgO-TiO2陶瓷,其ρ=3.49 g·cm–3,εr=10.37,Q·f=118 747 GHz(f=10.47 GHz),τf=–53.35×10–6℃–1。