ALLOCATING COMMODITY SHELVES IN A SUPERMARKET
    3.
    发明申请
    ALLOCATING COMMODITY SHELVES IN A SUPERMARKET 有权
    在超市分配商品

    公开(公告)号:US20140100916A1

    公开(公告)日:2014-04-10

    申请号:US14042405

    申请日:2013-09-30

    IPC分类号: G06Q30/02

    CPC分类号: G06Q30/0202 G06Q30/02

    摘要: A method of allocating shelves includes obtaining shopping paths of customers in a supermarket, classifying the plurality of customers into a plurality of customer classes based on the shopping paths of the plurality of customers, determining one or more shopping paths adopted by more customers in the plurality of customer classes as frequent shopping paths of a class of customers of the plurality of customer classes, calculating a see-buy rate of a commodity for each of the plurality of customer classes based on shopping lists and the frequent shopping paths of the plurality of customers, calculating a location for a set of commodities when total expected benefits for the set of commodities are maximized during a certain period of time. The total expected benefits include a sum of an expected benefit for each commodity in the set of commodities based on the see-buy rate and the frequent shopping paths.

    摘要翻译: 一种分配货架的方法包括:获取超市客户的购物路径,根据多个客户的购物路径,将多个客户分类为多个客户类,确定多个顾客采用的一个或多个购物路径 的客户类别作为多个客户类别的一类客户的频繁购物路径,基于购物清单和多个客户的频繁购物路径计算多个客户类中的每一个的商品的购买率 ,在一段时间内最大化该商品集合的预期收益总额时,计算一组商品的位置。 总预期收益包括基于购买率和频繁购物路径的一组商品中的每种商品的预期收益的总和。

    NEW KIND OF MULTI-TOUCH INPUT DEVICE
    4.
    发明申请
    NEW KIND OF MULTI-TOUCH INPUT DEVICE 有权
    新型多触点输入设备

    公开(公告)号:US20130155026A1

    公开(公告)日:2013-06-20

    申请号:US13706761

    申请日:2012-12-06

    IPC分类号: G06F3/042

    摘要: A multi-touch method includes, in response to at least one finger of a user pointing toward a computer screen, recognizing an eye and at least one finger in an image frame taken by a camera; mapping a first coordinate of the recognized finger in the image frame to a second coordinate of the finger on the computer screen; mapping a third coordinate the recognized eye in the image frame to a fourth coordinate of the eye on the computer screen; determining whether the fourth coordinate is in the proximity of the second coordinate; in response to a positive decision, determining the second coordinate as a multi-touch point.

    摘要翻译: 响应于指向计算机屏幕的用户的至少一个手指识别由相机拍摄的图像帧中的眼睛和至少一个手指,多点触摸方法包括: 将识别的手指在图像帧中的第一坐标映射到计算机屏幕上的手指的第二坐标; 将所述图像帧中的识别的眼睛的第三坐标映射到所述计算机屏幕上的眼睛的第四坐标; 确定所述第四坐标是否在所述第二坐标附近; 响应于肯定的决定,将第二坐标确定为多点触摸点。

    Pollution prediction
    5.
    发明授权

    公开(公告)号:US11195125B2

    公开(公告)日:2021-12-07

    申请号:US15139548

    申请日:2016-04-27

    摘要: Embodiments of the present disclosure allow accuracy of prediction of pollution to be improved. In operation, a prediction of pollution in a future time period is determined. The prediction of pollution indicates predicted data related to a pollution index. Then, matching historical data for the predicted data is determined from historical data related to the pollution index. The matching historical data is obtained in a historical time period corresponding to the future time period. Based on the matching historical data, the prediction of pollution is refined.

    Data write/import performance in a database through distributed memory

    公开(公告)号:US10565202B2

    公开(公告)日:2020-02-18

    申请号:US15427141

    申请日:2017-02-08

    IPC分类号: G06F16/2455 G06F16/25

    摘要: Aspects of the present invention include a method, which includes updating, by a processor, one or more distributed memory datasets having data stored therein in response to a write data operation, the one or more distributed data memory datasets being located in a database. The method further includes splitting, by the processor, any one of the one or more distributed memory datasets into two distributed memory datasets when a size of the any one of the one or more distributed memory datasets exceeds a threshold value. The method further includes moving, by the processor, the stored data in any one of the one or more distributed memory datasets to regions within the database upon an occurrence of one or more conditions with respect to the one or more distributed memory datasets. Other aspects of the present invention include a system and a computer program product.

    Very short-term air pollution forecasting

    公开(公告)号:US10438125B2

    公开(公告)日:2019-10-08

    申请号:US14939522

    申请日:2015-11-12

    IPC分类号: G06N5/04 G06N7/00 G06F17/18

    摘要: A mechanism is provided for forecasting air pollution. One or more air-pollution monitoring stations correlated to a forecasting point from a plurality of air-pollution monitoring stations are identified. For the one or more air-pollution monitoring stations that correlate to the forecasting point, one or more patterns of the forecasting point, historical patterns of the forecasting point relating to the one or more patterns of the forecasting point, and one or more patterns of the air-pollution monitoring stations that relate to the one or more patterns of the forecasting point are identified. Based on the one or more patterns of the forecasting point, the historical patterns of the forecasting point relating to the one or more patterns of the forecasting point, and the one or more patterns of the air-pollution monitoring stations that relate to the one or more patterns of the forecasting point, a pollution forecast is provided.

    POLLUTION PREDICTION
    8.
    发明申请

    公开(公告)号:US20170316328A1

    公开(公告)日:2017-11-02

    申请号:US15139548

    申请日:2016-04-27

    IPC分类号: G06N5/04

    CPC分类号: G06Q10/063 G01W1/10 G06Q10/04

    摘要: Embodiments of the present disclosure allow accuracy of prediction of pollution to be improved. In operation, a prediction of pollution in a future time period is determined. The prediction of pollution indicates predicted data related to a pollution index. Then, matching historical data for the predicted data is determined from historical data related to the pollution index. The matching historical data is obtained in a historical time period corresponding to the future time period. Based on the matching historical data, the prediction of pollution is refined.

    Integrated Air Quality Forecasting
    9.
    发明申请

    公开(公告)号:US20170184561A1

    公开(公告)日:2017-06-29

    申请号:US14980588

    申请日:2015-12-28

    IPC分类号: G01N33/00 G01W1/00

    摘要: An embodiment of the invention provides a method where an air quality forecast having an air quality turning point is received. A processor identifies an updated air quality turning point based on weather observation information. An air quality forecast at the updated air quality turning point is generated with the weather observation information and human input, which can include human knowledge from a weather expert or an air quality expert. An air quality forecast for a first time period directly prior to the updated air quality turning point is generated with the air quality forecast at the updated air quality turning point and the human input. An air quality forecast for a second time period directly after the updated air quality turning point is generated with the air quality forecast for the first time period, the air quality forecast at the updated air quality turning point, and the human input.

    Water quality prediction
    10.
    发明授权

    公开(公告)号:US11715001B2

    公开(公告)日:2023-08-01

    申请号:US15942900

    申请日:2018-04-02

    IPC分类号: G06N3/08

    CPC分类号: G06N3/08

    摘要: This disclosure provides a computer-implemented method. The method may comprise estimating a value range of a water body parameter based on measured data for a water quality indicator of a first set of time-spatial points and measured data for the water quality indicator of a second set of time-spatial points; and determining an optimal value of the water body parameter from the estimated value range by comparing the measured data for the water quality indicator of the second set and simulated data for the water quality indicator of the second set, wherein the simulated data for the water quality indicator of the second set is obtained based on a fluid dynamic model using the measured data for the water quality indicator of the first set as an input of the fluid dynamic model and using a value in the estimated value range as a parameter of the fluid dynamic model.