Tagging geographical areas
    33.
    发明授权
    Tagging geographical areas 有权
    标记地理区域

    公开(公告)号:US09483467B2

    公开(公告)日:2016-11-01

    申请号:US14679165

    申请日:2015-04-06

    Abstract: A method of tagging a geographical area includes obtaining, with a processing device, attribute information and mobile tracking data of a plurality of mobile objects, wherein the mobile tracking data comprises sampling time and corresponding sampling point locations of the mobile objects; converting the mobile tracking data of the plurality of mobile objects into new mobile tracking data according to the correspondence relationship between the sampling time and a time slices, wherein the new mobile tracking data include time slices and corresponding sampling point locations; and obtaining a set of attribute information of at least one geographical area with respect to the time slices based on the new mobile tracking data, wherein the at least one geographical area is obtained by clustering the sampling point locations.

    Abstract translation: 标记地理区域的方法包括:利用处理设备获得多个移动对象的属性信息和移动跟踪数据,其中移动跟踪数据包括移动对象的采样时间和对应采样点位置; 根据采样时间和时间片之间的对应关系将多个移动对象的移动跟踪数据转换成新的移动跟踪数据,其中新的移动跟踪数据包括时间片和对应的采样点位置; 以及基于所述新的移动跟踪数据获得关于所述时间片的至少一个地理区域的一组属性信息,其中通过对所述采样点位置进行聚类而获得所述至少一个地理区域。

    METHOD AND APPARATUS OF DETERMINING AIR QUALITY
    34.
    发明申请
    METHOD AND APPARATUS OF DETERMINING AIR QUALITY 有权
    确定空气质量的方法和装置

    公开(公告)号:US20160155027A1

    公开(公告)日:2016-06-02

    申请号:US15018005

    申请日:2016-02-08

    CPC classification number: G06K9/66 G01J1/42 G01N33/0062 G06K9/00 G06K9/6256

    Abstract: In an approach to determining an air quality based on image, a computer performs a method, the method comprising: determining an image to be measured; determining an air quality model of at least one key area, the at least one key area including a key area associated with the image to be measured; acquiring a reference clear image corresponding to the image to be measured; and determining an air quality index to be measured based on an air quality related feature extracted from the image to be measured, the corresponding reference clear image, and the determined air quality model of the key area associated with the image to be measured.

    Abstract translation: 在基于图像确定空气质量的方法中,计算机执行方法,所述方法包括:确定要测量的图像; 确定至少一个关键区域的空气质量模型,所述至少一个关键区域包括与要测量的图像相关联的关键区域; 获取与要测量的图像相对应的参考清晰图像; 以及基于从待测图像提取的空气质量相关特征,对应的参考清晰图像和与待测图像相关联的关键区域的确定的空气质量模型来确定要测量的空气质量指数。

    Automatic siting for air quality monitoring stations

    公开(公告)号:US10725008B2

    公开(公告)日:2020-07-28

    申请号:US15494759

    申请日:2017-04-24

    Abstract: A system, a computer readable storage medium, and a method for automatically siting for air quality monitoring stations includes collecting from air quality monitoring stations air pollution concentration data, collecting from meteorological stations meteorological data, and interpolating, by the at least one or more processors, the air pollution concentration data to provide interpolated air pollution concentration data. The method and system can further cluster the interpolated air pollution concentration data and the meteorological data to provide clustered data and select a candidate site for an air monitoring station using the clustered data. The method and system can further evaluate a relationship of the air pollution concentration data with the meteorological data by weighting the air pollution data with the meteorological data.

    Tagging geographical areas
    37.
    发明授权

    公开(公告)号:US10136273B2

    公开(公告)日:2018-11-20

    申请号:US15259727

    申请日:2016-09-08

    Abstract: A method of tagging a geographical area includes obtaining, with a processing device, attribute information and mobile tracking data of a plurality of mobile objects, wherein the mobile tracking data comprises sampling time and corresponding sampling point locations of the mobile objects; converting the mobile tracking data of the plurality of mobile objects into new mobile tracking data according to the correspondence relationship between the sampling time and a time slices, wherein the new mobile tracking data include time slices and corresponding sampling point locations; and obtaining a set of attribute information of at least one geographical area with respect to the time slices based on the new mobile tracking data, wherein the at least one geographical area is obtained by clustering the sampling point locations.

    METHOD AND APPARATUS FOR EVALUATING PREDICTIVE MODEL

    公开(公告)号:US20170228652A1

    公开(公告)日:2017-08-10

    申请号:US15497658

    申请日:2017-04-26

    CPC classification number: G06N5/04 G06F17/18 G06K9/6262 G06N20/00 G06Q10/06375

    Abstract: An approach for a computer to evaluate a predictive model includes identifying features of training samples in a set of training samples. The approach selects evaluation metrics from a set of evaluation metrics as available metrics using identified features and includes determining recommended metrics using the predictive model, the available metrics, and a predetermined set of user-preferred metrics. The approach applies the predictive model created using the set of training samples to a set of test samples to calculate values of the available metrics. The approach evaluates the predictive model by using the available metrics and the values of the available metrics to evaluate the predictive model by evaluating the predictive model using the recommended metrics and the values of the recommended metrics.

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