基于浏览行为的网络地图用户兴趣模型研究

为准确表达用户兴趣,提升网络地图个性化服务效率,本文结合用户的操作行为与视觉行为,探讨了用户兴趣获取的原理与方法。结合Web日志与眼动数据的特点,提取网络地图的用户兴趣特征项,并利用熵权法对用户兴趣度进行估计。通过向量空间模型,构建网络地图用户兴趣模型,并开展验证实验对用户兴趣建模方法进行验证。     

大跨钢桁梁形变对轨道平顺性的影响

针对由于大跨钢桁梁形变导致其上设置的轨道控制点(CPIII)空间位置的变化,进而导致轨道平顺性的测量结果受到影响的问题,该文从轨道维护角度出发,探讨大跨钢桁梁形变对轨道测量及平顺性影响规律。通过模拟实验对大跨钢桁梁形变引起的自由设站坐标、钢轨几何位置测量值以及轨道平顺性指标3方面的影响进行了深入讨论,结果表明:对于直线段大跨钢桁梁部分的轨道平顺性影响较小,对钢桁梁与两端混凝土梁连接处的轨道平顺性影响较大。     

模架无线实时变形监测系统的设计与精度标定

介绍了模架无线实时变形监测系统的基本构成和主要工作过程,提出了使用绝对激光跟踪仪对其核心部件位移和角度传感器进行监测精度标定,设计了模架无线实时监测传感器工作和标定试验模型,通过试验分析为传感器精度的判定和升级研发提供了有效的数据支撑。     

基于LiDAR的海岛岸线自动提取研究

为了探讨栅格化方法与图像分割法对海岛岸线提取的效果,本文主要研究了基于Li DAR数据利用这两种方法对某岛进行瞬时海岸线的提取。利用栅格化方法通过对Li DAR点云数据进行粗差剔除、滤波去噪、构建Terrain数据集、创建栅格表面、生成TIN模型及自动生成等高线,从而实现了瞬时海岸线的提取;利用图像分割法是通过对Li DAR点云数据进行粗差剔除、滤波处理、构建TIN模型、生成二值栅格图像、图像处理与图像边缘提取的过程实现瞬时海岸线的提取。对两种方法提取的海岸线进行叠加显示分析,试验结果表明:两种方法提取的海岸线形态结构基本吻合,海岸线提取效率较传统方法均有提高,但栅格化方法提取的海岸线比图像分割方法提取的海岸线更平滑、更细化,边缘信息较为丰富,与实际海岸线更贴切,效果更加理想。     

A Comparative Study of Various Supervised Learning Approaches to Selective Omission in a Road Network

Selective omission is necessary for road network generalisation. This study investigates the use of supervised learning approaches for selective omission in a road network. To be specific, at first, the properties to measure the importance of a road in the network are viewed as input attributes, and the decision of such a road is retained or not at a specific scale is viewed as an output class; then, a number of samples with known input and output are used to train a classifier; finally, this classifier can be used to determine whether other roads to be retained or not. In this study, a total of nine supervised learning approaches, i.e., ID3, C4·5, CRT, Random Tree, support vector machine (SVM), naive Bayes (NB), K-nearest neighbour (KNN), multilayer perception (MP) and binary logistic regression (BLR), are applied to three road networks for selective omission. The performances of these approaches are evaluated by both quantitative assessment and visual inception. Results show that: (1) in most cases, these approaches are effective and their classification accuracy is between 70% and 90%; (2) most of these approaches have similar performances, and they do not have any statistically significant difference; (3) but sometimes, ID3 and BLR performs significantly better than NB and SVM; NB and KNN perform significantly worse than MP, SVM and BLR.     

对新疆土地生态环境保护的思考

新疆幅员辽阔,总面积为1.6×106km2,占我国国土总面积的1/6。但新疆远离海洋,气候干燥,沙漠面积7.3×105km2,占全国沙漠总面积的2/3。生态环境脆弱,直接威胁人们的生存环境。本文叙述了新疆土地荒漠化的现状及成因和危害;开荒造田的历程;开荒造田中的经验和教训,指出了新疆土地生态环境保护中存在的主要矛盾和问题,并提出了思考和建议。     

Regional yield estimation for winter wheat with MODIS-NDVI data in Shandong, China

The significance of crop yield estimation is well known in agricultural management and policy development at regional and national levels. The primary objective of this study was to test the suitability of the method, depending on predicted crop production, to estimate crop yield with a MODIS-NDVI-based model on a regional scale. In this paper, MODIS-NDVI data, with a 250 m resolution, was used to estimate the winter wheat (Triticum aestivum L.) yield in one of the main winter-wheat-growing regions. Our study region is located in Jining, Shandong Province. In order to improve the quality of remote sensing data and the accuracy of yield prediction, especially to eliminate the cloud-contaminated data and abnormal data in the MODIS-NDVI series, the Savitzky–Golay filter was applied to smooth the 10-day NDVI data. The spatial accumulation of NDVI at the county level was used to test its relationship with winter wheat production in the study area. A linear regressive relationship between the spatial accumulation of NDVI and the production of winter wheat was established using a stepwise regression method. The average yield was derived from predicted production divided by the growing acreage of winter wheat on a county level. Finally, the results were validated by the ground survey data, and the errors were compared with the errors of agro-climate models. The results showed that the relative errors of the predicted yield using MODIS-NDVI are between −4.62% and 5.40% and that whole RMSE was 214.16 kg ha⁻¹ lower than the RMSE (233.35 kg ha⁻¹) of agro-climate models in this study region. A good predicted yield data of winter wheat could be got about 40 days ahead of harvest time, i.e. at the booting-heading stage of winter wheat. The method suggested in this paper was good for predicting regional winter wheat production and yield estimation.     

GPRS在测量GPS RTK中的应用

在测量技术高速发展的今天,GPS已经成为大众测量工具,GPRS网络数据传输方式在GPS测量中的应用,使得GPS在测量中,基准站与流动站的连接速度更快、基准站与流动站的作业距离更远、基准站与流动站之间的数据通讯更加稳定,测量精度更加精确等优势。     

利用测日实现快速天文定向

介绍了天文方位角测量原理,给出了实用的计算太阳视位置的方法;研究了在白天恒星无法应用的情况下,利用电子经纬仪测日进行快速天文定向及方位角测量,给出了具体的实施方法及数据解算过程,并对实际测量数据进行了精度分析。     

土木大类测量实习教学模式的改革与实践

土木大类的测量学实习在培养学生的生产实践能力方面起着不可或缺的作用,分析了目前实习模式的特点,指出现有实习模式存在的缺陷,认为测量实习环节应根据不同的专业方向开辟具有专业特色的实习项目,针对公路工程、桥梁工程、建筑工程和港口与航道工程专业提出新的实习模式,在教学实践改革中取得了良好效果。