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    SYSTEM, METHOD AND PROGRAM PRODUCT FOR PROVIDING INFRASTRUCTURE CENTRIC WEATHER FORECASTS
    3.
    发明申请
    SYSTEM, METHOD AND PROGRAM PRODUCT FOR PROVIDING INFRASTRUCTURE CENTRIC WEATHER FORECASTS 有权
    用于提供基础设施中心天气预报的系统，方法和程序产品

    公开(公告)号：US20130317749A1

    公开(公告)日：2013-11-28

    申请号：US13904101

    申请日：2013-05-29

    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

    Inventor： Sergio Borger ,  Renato Fontoura De Gusmao Cerqueira ,  Kiran Mantripragada ,  Ulisses T. Mello ,  Alexandre Pfeifer ,  Lucas Correia Villa Real

    IPC: G01W1/10

    CPC classification number: G01W1/10

    Abstract: A infrastructure sensitivity centric weather forecast system, method of forecasting weather and a computer program product therefor. A forecasting computer applies a grid to a forecast area, locates infrastructure, e.g. power grid infrastructure, in the area and determines weather effects on infrastructure in each grid cell. A targeted selection module iteratively identifies grid cells for refinement in response to the weather effects on cell infrastructure. In each iteration a refined grid is applied to each grid cell identified as containing infrastructure that may be sensitive, or vulnerable, to expected weather. The forecasting computer refines the area considered to focus on area infrastructure and sensitivities/vulnerabilities to expected weather.

    Abstract translation: 以基于设施敏感度为中心的天气预报系统，天气预报方法及其计算机程序产品。 预测计算机将网格应用于预测区域，定位基础设施，例如。 电网基础设施，并确定每个电网单元的基础设施的天气影响。 有针对性的选择模块反应性地识别网格单元以对细胞基础设施的天气影响作出响应。 在每次迭代中，精细网格被应用于被识别为包含可能对预期天气敏感或易受攻击的基础设施的每个网格单元。 预测计算机将考虑重点关注区域基础设施和对预期天气的敏感/脆弱性的区域进行细化。

    EFFICIENT FACILITATION OF HUMAN REVIEW AND COMPUTATIONAL ANALYSIS
    6.
    发明申请
    EFFICIENT FACILITATION OF HUMAN REVIEW AND COMPUTATIONAL ANALYSIS 审中-公开
    人类审查和计算分析的有效保障

    公开(公告)号：US20160132213A1

    公开(公告)日：2016-05-12

    申请号：US14537180

    申请日：2014-11-10

    Applicant: International Business Machines Corporation

    Inventor： Alecio P. D. Binotto ,  Kiran Mantripragada ,  Alberto C. Nogueira Junior ,  Marco A. Stelmar Netto ,  Nicole B. Sultanum ,  Leonardo P. Tizzei

    IPC: G06F3/0484 ,  G06F3/0482

    CPC classification number: G06F9/4831 ,  G06F9/451 ,  G06F9/4881 ,  G06F16/29

    Abstract: A method, executed by a computer, for overlapping computer processing and human analysis includes: receiving a set of tasks to be executed on an array of data, receiving a user profile, prioritizing the tasks based on the user profile, partitioning the array of data based on a current task, prioritizing a plurality of data blocks, executing the current task on the plurality of prioritized data blocks, and outputting data results to the user. The method may include monitoring the user's interactions with the data results. The method may also include receiving a task profile, and prioritizing the plurality of data blocks based on the user profile and the task profile. The method may also include speculating on additional tasks that need to be executed. A computer system and computer program product corresponding to the method are also disclosed herein.

    Abstract translation: 由计算机执行的用于重叠计算机处理和人类分析的方法包括：接收要在数据阵列上执行的一组任务，接收用户简档，基于用户简档优先处理任务，划分数据阵列 基于当前任务，对多个数据块进行优先排序，在多个优先化数据块上执行当前任务，并向用户输出数据结果。 该方法可以包括监视用户与数据结果的交互。 该方法还可以包括接收任务简档，以及基于用户简档和任务简档来对多个数据块进行优先级排序。 该方法还可以包括对需要执行的附加任务的推测。 本文还公开了与该方法对应的计算机系统和计算机程序产品。

    ESTIMATING RAINFALL PRECIPITATION AMOUNTS BY APPLYING COMPUTER VISION IN CAMERAS
    8.
    发明申请
    ESTIMATING RAINFALL PRECIPITATION AMOUNTS BY APPLYING COMPUTER VISION IN CAMERAS 有权
    通过在摄像机中应用计算机视觉来估计雨淋降水量

    公开(公告)号：US20160148383A1

    公开(公告)日：2016-05-26

    申请号：US14748125

    申请日：2015-06-23

    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

    Inventor： Renato F. Cerqueira ,  Kiran Mantripragada

    IPC: G06T7/00 ,  G06K9/62 ,  G06K9/46 ,  G01W1/14 ,  H04N5/225

    CPC classification number: G06K9/4604 ,  G01W1/14 ,  G06F17/30244 ,  G06K9/00697 ,  G06K9/4633 ,  G06K9/52 ,  G06K9/6202 ,  H04N5/225 ,  H04N5/23229

    Abstract: A method and system are provided. The method includes storing a set of references images without rain and spanning a plurality of different light conditions. The method further includes capturing, using a camera, an image of a scene with rain. The method also includes selecting a reference image from the set of reference images based on the light condition of the captured image. The method additionally includes performing an arithmetic subtraction image processing operation between the captured image and the reference image to generate a subtraction image. The method further includes estimating an amount of rain in the subtraction image based on previously calibrated values.

    Abstract translation: 提供了一种方法和系统。 该方法包括存储一组参考图像而不降雨并跨越多个不同的光条件。 该方法还包括使用相机捕获具有雨的场景的图像。 该方法还包括基于捕获图像的光条件从参考图像集中选择参考图像。 该方法还包括在所捕获的图像和参考图像之间执行算术减法图像处理操作以产生减法图像。 该方法还包括基于先前校准的值估计减法图像中的下雨量。

    System and method for tracking pollution
    9.
    发明授权
    System and method for tracking pollution 有权

    公开(公告)号：US10268198B2

    公开(公告)日：2019-04-23

    申请号：US15840470

    申请日：2017-12-13

    Applicant: International Business Machines Corporation

    Inventor： Kiran Mantripragada ,  Ulisses Mello ,  Rafael Horschutz Nemoto ,  Nicole Barbosa Sultanum ,  Lucas Correia Villa Real

    IPC: G05D1/02 ,  G01N29/44 ,  G01N33/00 ,  G01N29/02 ,  G05D1/10

    Abstract: A pollution source detection system, includes an automated vehicle including a position sensor that detects a geographic position of the automated vehicle and at least one pollution detection sensor that measures a concentration of pollution at the automated vehicle. The pollution source detection system includes a back-end system. The back-end system includes a network interface that receives the geographic position and the concentration of the pollution from the automated vehicle. The back-end system includes a database that stores the geographic position and the concentration of the pollution received via the network interface. The back-end system includes a processor that measures a gradient of the concentration of the pollution and controls a movement of the automated vehicle based on the gradient to guide the automated vehicle toward a source of the pollution.

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