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    • 1. 发明申请
    • AIR QUALITY INFERENCE USING MULTIPLE DATA SOURCES
    • 使用多个数据源的空气质量控制
    • US20160125307A1
    • 2016-05-05
    • US14896344
    • 2013-06-05
    • Yu ZHENGXing XIEWei-Ying MAHsiao-Wuen HONEric I-Chao CHANGMICROSOFT TECHNOLOGY LICENSING, LLC
    • Yu ZhengXing XieWei-Ying MaHsiao-Wuen HonEric I-Chao Chang
    • G06N7/00G06N3/08G06N99/00
    • G06N7/005G06N3/08G06N20/00
    • The use of data from multiple data source provides inferred air quality indices with respect to a particular pollutant for multiple areas without the addition of air quality monitor stations to those areas. Labeled air quality index data for a pollutant in a region may be obtained from one or more air quality monitor stations. Spatial features for the region may be extracted from spatially-related data for the region. The spatially-related data may include information on fixed infrastructures in the region. Likewise, temporal features for the region may be extracted from temporally-related data for the region that changes over time. A co-training based learning framework may be further applied to co-train a spatial classifier and a temporal classifier based at least on the labeled air quality index data, the spatial features for the region, and the temporal features for the region.
    • 使用多个数据源的数据可以为多个地区的特定污染物提供推测的空气质量指标,而无需向这些地区添加空气质量监测站。 可以从一个或多个空气质量监测站获得区域中污染物的标签空气质量指数数据。 该区域的空间特征可以从该区域的空间相关数据中提取。 与空间有关的数据可能包括有关该地区固定基础设施的信息。 类似地,可以从随时间变化的区域的时间相关数据中提取该区域的时间特征。 基于共同训练的学习框架可以进一步应用于至少基于标记的空气质量指数数据,该区域的空间特征和该区域的时间特征来共同训练空间分类器和时间分类器。
    • 4. 发明申请
    • IDENTIFYING INTERESTING LOCATIONS
    • 识别有趣的位置
    • US20100211308A1
    • 2010-08-19
    • US12388901
    • 2009-02-19
    • Yu ZhengLizhu ZhangXing XieWei-Ying Ma
    • Yu ZhengLizhu ZhangXing XieWei-Ying Ma
    • G01C21/02G01C21/00G06F17/18G06F17/30G06N5/02G06N5/04G06F7/06
    • G01C21/20
    • Interesting location identification embodiments are presented that generally involve identifying and providing the interesting locations found in a given geospatial region. This is accomplished by modeling the location histories of multiple individuals who traveled through the region of interest, and identifying interesting locations in the region based on the number of individuals visiting a location weighted in terms of the travel experience of those individuals. A prescribed number of the top most interesting locations in a specified region can be provided upon request. In addition, prescribed numbers of the top most popular travel sequences through the interesting locations and the top most experienced travelers in the specified region can be provided as well.
    • 提出了有趣的位置识别实施例,其通常涉及识别和提供在给定地理空间区域中找到的有趣位置。 这是通过对通过感兴趣区域旅行的多个人的位置历史进行建模来实现的,并且基于根据这些个人的旅行经验加权的位置的个人数量来识别该地区中的有趣位置。 可以根据要求提供规定数量的指定区域中最有趣的位置。 此外,还可以提供通过有趣位置的最热门旅行序列的规定数量以及指定区域中最有经验的旅行者。
    • 5. 发明授权
    • Indexing large-scale GPS tracks
    • 索引大型GPS轨道
    • US08078394B2
    • 2011-12-13
    • US12037263
    • 2008-02-26
    • Longhao WangYu ZhengXing XieWei-Ying Ma
    • Longhao WangYu ZhengXing XieWei-Ying Ma
    • G06F17/00
    • G06F17/30551G06F17/30241G06F17/30327G06F17/30333
    • Described is a technology by which uploaded GPS data is indexed according to spatio-temporal relationships to facilitate efficient insertion and retrieval. The indexes may be converted to significantly smaller-sized data structures when new updates to that structure are not likely. GPS data is processed into a track of spatially-partitioned segments such that each segment has a cell. Each cell has an associated temporal index (a compressed start-end tree), into which data for that cell's segments are inserted. The temporal index may include an end time index that relates each segment's end time to a matching start time index. Given query input comprising a spatial predicate and a temporal predicate, tracks may be searched for by determining which spatial candidate cells may contain matching results. For each candidate cell, the search accesses the cell's associated temporal index to find any track or tracks that correspond to the temporal predicate.
    • 描述了一种根据时空关系对上传的GPS数据进行索引的技术,以便于有效的插入和检索。 当该结构的新更新不太可能时,索引可能会转换为显着更小的数据结构。 GPS数据被处理成空间分割的段的轨道,使得每个段具有一个单元。 每个单元都具有关联的时间索引(压缩的开始结束树),该单元格的段的数据被插入到该时间索引中。 时间索引可以包括将每个段的结束时间与匹配的开始时间索引相关联的结束时间索引。 给定包括空间谓词和时间谓词的查询输入,可以通过确定哪些空间候选小区可以包含匹配结果来搜索轨道。 对于每个候选小区,搜索访问小区的相关联的时间索引以找到与时间谓词相对应的任何轨道或​​轨道。
    • 8. 发明申请
    • INDEXING LARGE-SCALE GPS TRACKS
    • 引导大规模GPS跟踪
    • US20090216787A1
    • 2009-08-27
    • US12037263
    • 2008-02-26
    • Longhao WangYu ZhengXing XieWei-Ying Ma
    • Longhao WangYu ZhengXing XieWei-Ying Ma
    • G06F7/00G06F17/30
    • G06F17/30551G06F17/30241G06F17/30327G06F17/30333
    • Described is a technology by which uploaded GPS data is indexed according to spatio-temporal relationships to facilitate efficient insertion and retrieval. The indexes may be converted to significantly smaller-sized data structures when new updates to that structure are not likely. GPS data is processed into a track of spatially-partitioned segments such that each segment has a cell. Each cell has an associated temporal index (a compressed start-end tree), into which data for that cell's segments are inserted. The temporal index may include an end time index that relates each segment's end time to a matching start time index. Given query input comprising a spatial predicate and a temporal predicate, tracks may be searched for by determining which spatial candidate cells may contain matching results. For each candidate cell, the search accesses the cell's associated temporal index to find any track or tracks that correspond to the temporal predicate.
    • 描述了一种根据时空关系对上传的GPS数据进行索引的技术,以便于有效的插入和检索。 当该结构的新更新不太可能时,索引可能会转换为显着更小的数据结构。 GPS数据被处理成空间分割的段的轨道,使得每个段具有一个单元。 每个单元都具有关联的时间索引(压缩的开始结束树),该单元格的段的数据被插入到该时间索引中。 时间索引可以包括将每个段的结束时间与匹配的开始时间索引相关联的结束时间索引。 给定包括空间谓词和时间谓词的查询输入,可以通过确定哪些空间候选小区可以包含匹配结果来搜索轨道。 对于每个候选小区,搜索访问小区的相关联的时间索引以找到与时间谓词相对应的任何轨道或​​轨道。