结合角点特征与SIFT特征的加速图像匹配

利用关键点寻找不同图像之间的一致性是很多图像处理和计算机视觉应用中的一个关键步骤。由于图像中巨量的关键点,因此特征的快速匹配成为了一个瓶颈。文中提出了一种对特征点进行分类比较的方法来加速特征匹配。首先可将SIFY特征分为两类,极大值SIIrF特征和极小值SIFT特征;其次是将SIFT特征和传统角点特征相结合提取特征点并按照角点特征进行分类。实验表明,这种方法在保持原有鲁棒性和精度的情况下,可以较大提高特征匹配速度。     

Connecting the dots: Understanding the interrelated impacts of type,quality and children's awareness of design features and the mathematics content learning goals in digital math games and related learning outcomes

This study focused on an examination of how type, quality and children's awareness of design features in digital math games, along with an awareness of the mathematics goals of the game, were related to learning outcomes. We conducted a parallel conversion mixed methods study with 45 students in Grades 3 and 4 (ages 9–10). Students participated in clinical interviews using three digital math games. The results suggest a moderated mediation relationship in which the quality of the design features moderated the mediating impact of children's awareness of the game's design features, specifically when the child was aware of the mathematics content learning goal (MCLG) of the game. These findings show how important it is that design features are of high quality in a digital math game, and how this is intertwined with children's awareness of the features and the MCLG. When these variables intertwined in just the right way, the interactions between the children and the digital math game afforded mathematical learning growth.     

CBR系统中一种实例相似度算法的改进

本文对CBR系统中实例相似度的算法进行了改进,在传统实例相似性算法的基础上加入实例属性缺失度因子和实例可复用性因子。因此在实例检索中考虑实例检索结果的精确度和实例的可复用度,进而使检索的精确度提高和修改难度降低,最终提高CBR系统的精确度和实用性。     

Soft computing approach to fault diagnosis of centrifugal pump

Fault detection and isolation in rotating machinery is very important from an industrial viewpoint as it can help in maintenance activities and significantly reduce the down-time of the machine, resulting in major cost savings. Traditional methods have been found to be not very accurate. Soft computing based methods are now being increasingly employed for the purpose. The proposed method is based on a genetic programming technique which is known as gene expression programming (GEP). GEP is somewhat a new member of the genetic programming family. The main objective of this paper is to compare the classification accuracy of the proposed evolutionary computing based method with other pattern classification approaches such as support vector machine (SVM), Wavelet-GEP, and proximal support vector machine (PSVM). For this purpose, six states viz., normal, bearing fault, impeller fault, seal fault, impeller and bearing fault together, cavitation are simulated on centrifugal pump. Decision tree algorithm is used to select the features. The results obtained using GEP is compared with the performance of Wavelet-GEP, support vector machine (SVM) and proximal support vector machine (PSVM) based classifiers. It is observed that both GEP and SVM equally outperform the other two classifiers (PSVM and Wavelet-GEP) considered in the present study.     

基于码本模型和多特征的早期烟雾检测

提出一种基于码本模型和多特征的早期烟雾检测算法。首先,利用码本模型进行前景提取;然后,结合烟雾的颜色模型和形状特征模型检测前景中的疑似烟雾区域;最后,利用烟雾的动态特性,有效地降低误检率,提高算法的鲁棒性。通过ROC曲线对比,实验结果表明,该算法具有良好的烟雾检测能力。同时,能够满足实时性要求,具有较高的实用价值。     

项目部合作开发报表系统

结合项目部合作开发报表生成及查询的实际需要,按照公司报表系统通用要求,全力开发易操作且高效率的报表系统。详细阐述报表系统所应用的软硬件环境、系统特点、系统操作说明及在实际工作中应用的优点综述。     

D-2-DenseNet噪音鲁棒的城市音频分类模型

为了提高噪音环境下城市音频分类系统的鲁棒性,提出了一种双特征2阶密集卷积神经网络（D-2-DenseNet）噪音鲁棒的城市音频分类模型.首先介绍了噪音添加和噪音鲁棒处理,阐述了一种双特征互补偿的算法;然后结合2阶密集卷积神经网络与自适应机制提出了一种噪音鲁棒音频分类模型：双特征2阶密集卷积神经网络.模型采用双特征互补偿自适应算法,可在特征提取与模型训练中更有针对性地提取有效音频信息,降低噪音干扰,以提高噪音鲁棒性.最后,基于Dcase2016数据集开展噪音环境下城市音频分类测试.实验结果表明,模型分类准确率分别可达77.12%、75.52%,与基线模型相比,平均分类准确率分别提高了8.51%和10.38%,验证了模型良好的噪音鲁棒性.     

八宿巨型滑坡的发现及其意义（特约稿）

巨型滑坡全球不常见,但是破坏性极强,其识别对于加深区域构造背景的认识,防灾减灾和工程建设均有指导意义。基于遥感解译、无人机地形测绘和现场调查,报道了新发现的八宿巨型滑坡及其残留堆积体特征,初步分析了成因机制与演变过程,估算了滑坡方量。主要结论如下：（1）八宿滑坡发育于怒江缝合带的夏里-八宿裂谷带内,岩性以古生界加玉桥岩群大理岩组和侏罗系马里组变质砂泥岩为主,上部岩层产状为陡倾顺坡向,下部岩层产状为陡倾逆坡向,岸坡结构总体上为上硬下软;（2）滑坡区横跨冷曲的左右两岸,长约7200m,宽约4800m,面积约22.5km2,估算方量约35×108m3,目前残余方量约14×108m3,是国内已经确认的方量最大的滑坡;（3）滑坡极可能属于历史地震诱发的高速堵江滑坡,堰塞坝高度约185m,堆积体碎裂化严重,且在冷曲右岸爬升超过600m。滑坡形成后,堆积区历经了堰塞坝溃决、多拉寺次级滑坡、泥石流堆积与冲刷、表面流水冲刷等改造过程,但是滑坡地貌特征整体保存良好。由于滑坡和泥石流堵江,冷曲在滑坡区先后两次改道;（4）从滑坡与冷曲的演变过程来看,推测滑坡的发生时间应在晚更新世。即八宿滑坡为古滑坡;（5）八宿巨型滑坡的发现说明迄今为止我们对青藏高原地质环境的认知仍然十分有限。川藏铁路等工程建设应加强基础地质与工程地质研究,以及地质灾害风险论证,确保施工与运行期安全。     

我国铝土矿资源综合分析

综合分析了我国铝土矿资源分布格局、矿床特征和矿石特点及其对氧化铝工业的决定性制约作用,为我国铝工业"十·五"及其远景规划提供资源基础资料与建议.     

一种新颖的低层视觉特征到高层语义的映射方法*

通过在低层视觉特征上提取图像的局部颜色和纹理特征,再利用模糊神经网络建立低层视觉特征和高层语义特征之间的映射,实现了图像属性信息的有效传递和可靠检索.最后,为了提高检索效率,把相关反馈引进到图像检索系统中.实验证明,该方法取得了较好的检索查全率和准确率.