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Data Management in Grids最新文献

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HC-DT/SVM: a tightly coupled hybrid decision tree and support vector machines algorithm with application to land cover change detections HC-DT/SVM:一种紧密耦合的混合决策树和支持向量机算法，应用于土地覆盖变化检测
Data Management in Grids Pub Date : 2010-11-02 DOI: 10.1145/1869890.1869892
Jianting Zhang
{"title":"HC-DT/SVM: a tightly coupled hybrid decision tree and support vector machines algorithm with application to land cover change detections","authors":"Jianting Zhang","doi":"10.1145/1869890.1869892","DOIUrl":"https://doi.org/10.1145/1869890.1869892","url":null,"abstract":"Change detection techniques have been widely used in satellite based environmental monitoring. Multi-date classification is an important change detection technique in remote sensing. In this study, we propose a hybrid algorithm called HC-DT/SVM, that tightly couples a Decision Tree (DT) algorithm and a Support Vector Machine (SVM) algorithm for land cover change detections. We aim at improving the interpretability of the classification results and classification accuracies simultaneously. The hybrid algorithm first constructs a DT classifier using all the training samples and then sends the samples under the ill-classified decision tree branches to a SVM classifier for further training. The ill-classified decision tree branches are linked to the SVM classifier and testing samples are classified jointly by the linked DT and SVM classifiers. Experiments using a dataset that consists of two Landsat TM scenes of southern China region show that the hybrid algorithm can significantly improve the classification accuracies of the classic DT classifier and improve its interpretability at the same time.","PeriodicalId":370250,"journal":{"name":"Data Management in Grids","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134448964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Assessment of error in air quality models using dynamic time warping 利用动态时间翘曲评估空气质量模型的误差
Data Management in Grids Pub Date : 2010-11-02 DOI: 10.1145/1869890.1869895
Jessica Lin, G. Cervone, P. Franzese
{"title":"Assessment of error in air quality models using dynamic time warping","authors":"Jessica Lin, G. Cervone, P. Franzese","doi":"10.1145/1869890.1869895","DOIUrl":"https://doi.org/10.1145/1869890.1869895","url":null,"abstract":"An estimate of the error between the mean concentration of a released pollutant simulated by an atmospheric dispersion model and the values measured at the ground is obtained using Dynamic Time Warping (DTW). The error measure is relevant to the application with iterative source detection algorithms based on forward numerical transport and dispersion simulations. The new proposed measure is compared with two established error functions commonly used in the literature.\u0000 A sensitivity study of the error measure to wind direction was performed using real world data from the Prairie Grass field experiment. Whereas both standard measures found smallest error only with a few degrees of wind direction, DTW found the smallest error with a much larger range of wind directions, often as high as 20 degrees.","PeriodicalId":370250,"journal":{"name":"Data Management in Grids","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131823158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Geospatial route extraction from texts 基于文本的地理空间路径提取
Data Management in Grids Pub Date : 2010-11-02 DOI: 10.1145/1869890.1869894
Efthymios Drymonas, D. Pfoser
{"title":"Geospatial route extraction from texts","authors":"Efthymios Drymonas, D. Pfoser","doi":"10.1145/1869890.1869894","DOIUrl":"https://doi.org/10.1145/1869890.1869894","url":null,"abstract":"The need to collect vast amounts of geospatial data is driven by the emergence of geo-enabled Web applications and the suitability of geospatial data in general to organize information. Given that geospatial data collection and aggregation is a resource intensive task typically left to professionals, we, in this work, advocate the use of information extraction (IE) techniques to derive meaningful geospatial data from plain texts. Initially focusing on travel information, the extracted data can be visualized as routes derived from narratives. As a side effect, the processed text is annotated by this route, which can be seen as an improved geocoding effort. Experimentation shows the adequacy and accuracy of the proposed approach by comparing extracted routes to respective map data.","PeriodicalId":370250,"journal":{"name":"Data Management in Grids","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131432998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 22
A polygon-based methodology for mining related spatial datasets 基于多边形的相关空间数据集挖掘方法
Data Management in Grids Pub Date : 2010-11-02 DOI: 10.1145/1869890.1869891
Sujing Wang, Chun-Sheng Chen, Vadeerat Rinsurongkawong, F. Akdag, C. Eick
{"title":"A polygon-based methodology for mining related spatial datasets","authors":"Sujing Wang, Chun-Sheng Chen, Vadeerat Rinsurongkawong, F. Akdag, C. Eick","doi":"10.1145/1869890.1869891","DOIUrl":"https://doi.org/10.1145/1869890.1869891","url":null,"abstract":"Polygons can serve an important role in the analysis of geo-referenced data as they provide a natural representation for particular types of spatial objects and in that they can be used as models for spatial clusters. This paper claims that polygon analysis is particularly useful for mining related, spatial datasets. A novel methodology for clustering polygons that have been extracted from different spatial datasets is proposed which consists of a meta clustering module that clusters polygons and a summary generation module that creates a final clustering from a polygonal meta clustering based on user preferences. Moreover, a density-based polygon clustering algorithm is introduced. Our methodology is evaluated in a real-world case study involving ozone pollution in Texas; it was able to reveal interesting relationships between different ozone hotspots and interesting associations between ozone hotspots and other meteorological variables.","PeriodicalId":370250,"journal":{"name":"Data Management in Grids","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123309570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 14
View reconstruction from images by removing vehicles 通过移除车辆从图像中查看重建
Data Management in Grids Pub Date : 2010-11-02 DOI: 10.1145/1869890.1869896
Li Chen, Lu Jin, Jing Dai, J. Xuan
{"title":"View reconstruction from images by removing vehicles","authors":"Li Chen, Lu Jin, Jing Dai, J. Xuan","doi":"10.1145/1869890.1869896","DOIUrl":"https://doi.org/10.1145/1869890.1869896","url":null,"abstract":"Reconstructing views of real-world from satellite images, surveillance videos, or street view images is now a very popular problem, due to the broad usage of image data in Geographic Information Systems and Intelligent Transportation Systems. In this paper, we propose an approach that tries to replace the differences among images that are likely to be vehicles by the counterparts that are likely to be background. This method integrates the techniques for lane detection, vehicle detection, image subtraction and weighted voting, to regenerate the \"vehicle-clean\" images. The proposed approach can efficiently reveal the geographic background and preserve the privacy of vehicle owners. Experiments on surveillance images from TrafficLand.com and satellite view images have been conducted to demonstrate the effectiveness of the approach.","PeriodicalId":370250,"journal":{"name":"Data Management in Grids","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127267314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Framework of integration for collaboration and spatial data mining among heterogeneous sources in the web 网络中异构资源间协作和空间数据挖掘的集成框架
Data Management in Grids Pub Date : 2010-11-02 DOI: 10.1145/1869890.1869893
A. Moraes, L. Bastos
{"title":"Framework of integration for collaboration and spatial data mining among heterogeneous sources in the web","authors":"A. Moraes, L. Bastos","doi":"10.1145/1869890.1869893","DOIUrl":"https://doi.org/10.1145/1869890.1869893","url":null,"abstract":"This paper highlights the diversity of spatial data of rural and urban properties, constantly generated by different public institutions, as well as the existing problems of exchange of information among them. Firstly, this work describes the results obtained in the study and development of an agile flexible method to offer support construction, implementation and accompaniment activities of free geo-solutions for the web, aiming at a growing community of users and developers who manipulate geographic data. Next, the development of the OpenICGFw (Integration for Collaborative Geospatial Framework for the Web) that seeks, through a single environment to assist in the integration and collaboration among different sources of spatial data in synchrony with the efforts and specifications of OGC and W3C. To do this, the evaluation study for the construction of the framework is presented where it was possible to apply MCDA-C (Multi Criteria Decision Aiding -- Constructivist) in the identification of the fundamental and elementary aspects for the construction of the framework. Details are presented by means of a case study that illustrates data exported from different geospatial information systems requiring the integration of census, environmental, urban and rural information over the internet. During the discussion the results obtained using this framework are presented, providing, through web mapping applications, the implementation of collaborative strategies seeking the integration of bases distributed for the use of spatial data mining techniques.","PeriodicalId":370250,"journal":{"name":"Data Management in Grids","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131606919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Land use analysis using GIS, radar and thematic mapper in Ethiopia: PhD showcase 利用地理信息系统、雷达和专题绘图仪在埃塞俄比亚进行土地利用分析:博士展示
Data Management in Grids Pub Date : 2010-11-02 DOI: 10.1145/1869890.1869897
Haile K. Tadesse
{"title":"Land use analysis using GIS, radar and thematic mapper in Ethiopia: PhD showcase","authors":"Haile K. Tadesse","doi":"10.1145/1869890.1869897","DOIUrl":"https://doi.org/10.1145/1869890.1869897","url":null,"abstract":"Land degradation, and poverty issues are very common in our world, especially in developing countries in Africa. There are fewer adaptation strategies for climate change in these countries. Ethiopia is a tropical country found in the horn of Africa. The majority of the population live in rural areas and agriculture is the main economic sector. Extensive agriculture has resulted in an unexpected over-exploitation and land degradation. The project locations are Southwestern and Northwestern Ethiopia. The main objectives are to analize the accuracy of land use classification of each sensors, classification algorithms and analyze land use change. Thematic Mapper (TM) and Radar data will be used to classify and monitor land use change. Two consecutive satellite images will be used to see the land use change in the study area (1998, 2008). ERDAS Imagine will be used to resample and spatially register the Radar and TM data. The image classification for this research study is supervised signature extraction. The Maximum likelihood decision rule and C4.5 algorithm will be applied to classify the images. TM and Radar data will be fused by layer staking. The accuracy of the digital classification will be calculated using error matrix. Land change modeler will be used for analyzing and predicting land cover change. The impact of roads, urban and population density on land use change will be analayzed using GIS.","PeriodicalId":370250,"journal":{"name":"Data Management in Grids","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128840343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An Outline of the Global Grid Forum Data Access and Integration Service Specifications 全球网格论坛数据访问与集成服务规范概述
Data Management in Grids Pub Date : 2005-09-02 DOI: 10.1007/11611950_7
M. Antonioletti, Amy Krause, N. Paton
{"title":"An Outline of the Global Grid Forum Data Access and Integration Service Specifications","authors":"M. Antonioletti, Amy Krause, N. Paton","doi":"10.1007/11611950_7","DOIUrl":"https://doi.org/10.1007/11611950_7","url":null,"abstract":"","PeriodicalId":370250,"journal":{"name":"Data Management in Grids","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122701598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
RRS: Replica Registration Service for Data Grids RRS:数据网格的副本注册服务
Data Management in Grids Pub Date : 2005-09-02 DOI: 10.1007/11611950_9
A. Shoshani, A. Sim, Kurt Stockinger
{"title":"RRS: Replica Registration Service for Data Grids","authors":"A. Shoshani, A. Sim, Kurt Stockinger","doi":"10.1007/11611950_9","DOIUrl":"https://doi.org/10.1007/11611950_9","url":null,"abstract":"","PeriodicalId":370250,"journal":{"name":"Data Management in Grids","volume":"165 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127506580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Servicing Seismic and Oil Reservoir Simulation Data Through Grid Data Services 通过网格数据服务服务地震和油藏模拟数据
Data Management in Grids Pub Date : 2005-09-02 DOI: 10.1007/11611950_11
S. Narayanan, T. Kurç, Ümit V. Çatalyürek, J. Saltz
{"title":"Servicing Seismic and Oil Reservoir Simulation Data Through Grid Data Services","authors":"S. Narayanan, T. Kurç, Ümit V. Çatalyürek, J. Saltz","doi":"10.1007/11611950_11","DOIUrl":"https://doi.org/10.1007/11611950_11","url":null,"abstract":"","PeriodicalId":370250,"journal":{"name":"Data Management in Grids","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130566178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
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