基于集群的影像并行OPTA算法研究

并行计算是提高海量遥感影像细化处理速度的有效途径.基于对OPTA细化算法的分析,深入研究OPTA细化并行算法中数据划分和数据通信优化等关键问题,提出一种适合集群并行处理的通信优化并行算法,实验证明该算法具有良好的加速比,适合集群计算环境下海量遥感影像的细化处理.     

基于分布式计算模式的GIS的设计与实现

介绍了分布式GIS和分布式计算模式的概念,探讨了基于分布式计算模式的地理信息系统的体系结构、运作机制、关键技术和实现方法,最后对未来的分布式地理信息系统发展进行了展望。     

结合云计算与大数据的出租房消防安全监管GIS

我国城镇化进程和经济发展效果卓著,但消防建设规划与城市扩张发展之间并不协调。虽然现有研究已经运用GIS技术到消防安全监管当中,但依然存在信息联动性不强,可视化程度低的问题。为此,本文基于地理信息系统技术对城市开发区内地理信息数据、多源多时态遥感及航空影像、巡查数据、出租房数据等进行有效整合完善,以建立时空地理信息大数据。笔者利用虚拟化、云计算等技术建立出租房消防安全动态监管平台。此平台为管理部门提供了基于地理信息的决策支持,提升了出租房管理的高效性和科学性。系统的建成和应用对我国的出租房管理信息化工作的开展具有重要意义。     

A variable precision rough set approach to knowledge discovery in land cover classification

This paper presents a granular computing approach to spatial classification and prediction of land cover classes using rough set variable precision methods. In particular, it presents an approach to characterizing large spatially clustered data sets to discover knowledge in multi-source supervised classification. The evidential structure of spatial classification is founded on the notions of equivalence relations of rough set theory. It allows expressing spatial concepts in terms of approximation space wherein a decision class can be approximated through the partition of boundary regions. The paper also identifies how approximate reasoning can be introduced by using variable precision rough sets in the context of land cover characterization. The rough set theory is applied to demonstrate an empirical application and the predictive performance is compared with popular baseline machine learning algorithms. A comparison shows that the predictive performance of the rough set rule induction is slightly higher than the decision tree and significantly outperforms the baseline models such as neural network, naïve Bayesian and support vector machine methods.     

Spectral element analysis on the characteristics of seismic wave propagation triggered by Wenchuan <Emphasis Type="Italic">M</Emphasis><Subscript>s</Subscript>8.0 earthquake

The 2008 Wenchuan earthquake occurred in an active earthquake zone, i.e., Longmenshan tectonic zone. Seismic waves triggered by this earthquake can be used to explore the characteristics of the fault rupture process and the hierarchical structure of the Earth’s interior. We employ spectral element method incorporated with large-scale parallel computing technology, to investigate the characteristics of seismic wave propagation excited by Wenchuan earthquake. We calculate synthetic seismograms with one-point source model and three-point source model respectively. The AK135 model is employed as a prototype of our numerical global Earth model. The Earth’s ellipticity, Earth’s medium attenuation, and topography data are taken into consideration. These wave propagation processes are simulated by solving three-dimensional elastic wave governing equations. Three-dimensional visualization of our numerical results displays the profile of the seismic wave propagation. The three-point source, which is proposed from the latest investigations through field observation and reverse estimation, can better demonstrate the spatial and temporal characteristics of the source rupture process than the one-point source. We take comparison of synthetic seismograms with observational data recorded at 16 observatory stations. Primary results show that the synthetic seismograms calculated from three-point source agree well with the observations. This can further reveal that the source rupture process of Wenchuan earthquake is a multi-rupture process, which is composed by at least three or more stages of rupture processes. Supported by National Basic Research Program of China (Grant No. 2004CB418406), National Natural Science Foundation of China (Grant Nos. 40774049 and 40474038), and Computer Network Information Center, Chinese Academy of Sciences (Grant No. INF105-SCE-02-12)     

A parallel evolutionary strategy based simulation–optimization approach for solving groundwater source identification problems

Groundwater characterization involves the resolution of unknown system characteristics from observation data, and is often classified as an inverse problem. Inverse problems are difficult to solve due to natural ill-posedness and computational intractability. Here we adopt the use of a simulation–optimization approach that couples a numerical pollutant-transport simulation model with evolutionary search algorithms for solution of the inverse problem. In this approach, the numerical transport model is solved iteratively during the evolutionary search. This process can be computationally intensive since several hundreds to thousands of forward model evaluations are typically required for solution. Given the potential computational intractability of such a simulation–optimization approach, parallel computation is employed to ease and enable the solution of such problems. In this paper, several variations of a groundwater source identification problem is examined in terms of solution quality and computational performance. The computational experiments were performed on the TeraGrid cluster available at the National Center for Supercomputing Applications. The results demonstrate the performance of the parallel simulation–optimization approach in terms of solution quality and computational performance.     

“二元”基坑中内支撑支护结构的三维数值分析与监测

排桩与内支撑相结合的基坑支护结构是近几年兴起并迅速发展的1种支护方式。如何通过有效控制其变形使基坑工程安全又经济,是人们不断探索的课题。本文以青岛地区某实际深基坑为研究对象,运用理正深基坑三维协同计算对基坑开挖、支护进行了整体计算。对内支撑的平面布置进行分析,提出了水平桁架式、大直径环撑辐射式、多跨压杆式不同的支撑样式对基坑的整体受力及变形的影响参考值。对本工程内支撑的支撑间距进行分析,提出了合理的支撑间距值。另外,依据有关规定制定了监测方案,对监测结果进行了整理,并与理论计算值进行比对分析,得出一些有价值的结论,可以为类似工程的设计、施工和监测提供一些借鉴。     

基于Bernese非差的GNSS大网分布式解算

非差精密单点定位(PPP)是大规模GNSS网络数据处理的主要模式之一。分析了基于Bernese自动处理引擎BPE的非差定位解算流程,通过修改配置文本文件实现BPE功能自动调用。针对单机集中处理模式下解算规模受限、时效性差的问题,采用分布式技术,利用C#编程实现了GNSS精密单点定位的并行处理。采用IGS数据进行实验,算例结果表明:在分布式环境下调用Bernese自动解算功能进行并行数据处理,能够实现快速、准确的GNSS大网高精度PPP定位解算,计算效率明显提高。     

从云计算到雾计算的范式转变

虽然云计算的应用越来越广泛,但也具有不能支持高移动性、不支持地理位置信息及高时延等亟待解决的问题.为此,雾计算已经出现,并将云计算扩展到网络的边缘,以减少延迟和网络拥塞.首先介绍了雾计算的概念、特点和结构,然后讨论了具有代表性的应用场景以及雾计算的安全问题.另外,还对雾计算相似的原位计算和连续计算进行了介绍.最后,给出了云计算与雾计算的区别与联系,并分析了雾计算未来的发展方向.雾计算扩大了以云计算为特征的网络计算范式,将网络计算从网络的中心扩展到网络的边缘,从而可以更加广泛地运用于更多的应用形态和服务类型.     

PMODTRAN: a parallel implementation based on MODTRAN for massive remote sensing data processing

MODerate resolution atmospheric TRANsmission (MODTRAN) is a commercial remote sensing (RS) software package that has been widely used to simulate radiative transfer of electromagnetic radiation through the Earth's atmosphere and the radiation observed by a remote sensor. However, when very large RS datasets must be processed in simulation applications at a global scale, it is extremely time-consuming to operate MODTRAN on a modern workstation. Under this circumstance, the use of parallel cluster computing to speed up the process becomes vital to this time-consuming task. This paper presents PMODTRAN, an implementation of a parallel task-scheduling algorithm based on MODTRAN. PMODTRAN was able to reduce the processing time of the test cases used here from over 4.4 months on a workstation to less than a week on a local computer cluster. In addition, PMODTRAN can distribute tasks with different levels of granularity and has some extra features, such as dynamic load balancing and parameter checking.