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1. 发明申请

WO2017158453A1 LOCATION CONTEXT INFERENCE BASED ON USER MOBILE DATA WITH UNCERTAINTY 审中-公开
标题翻译：基于不确定用户移动数据的位置上下文推理
公开(公告)号：WO2017158453A1
公开(公告)日：2017-09-21
申请号：PCT/IB2017/050952
申请日：2017-02-20
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION , IBM UNITED KINGDOM LIMITED , IBM (CHINA) INVESTMENT COMPANY LIMITED
发明人： YI, Jinfeng , LI, Hongfei , YU, Qi , SHEOPURI, Anshul
IPC分类号： G01S5/02 , G06F19/24
CPC分类号： H04W4/023 , H04M1/72522 , H04M1/72572 , H04W4/029 , H04W4/08 , H04W4/21 , H04W64/00
摘要： Methods and a system are provided that is performed by a computer server for inferring location context categories for a set of mobile users having at least two members. A method includes, for each mobile user in the set, obtaining at least one location context category therefor from publically available information responsive to uncertain mobile device location data. The method further includes applying multi-user collaborative machine learning to the at least one location context category for each mobile user in the set to infer a single refined location context category for each mobile user in the set.
摘要翻译：提供了由计算机服务器执行的用于推断具有至少两个成员的一组移动用户的位置上下文类别的方法和系统。一种方法包括针对该组中的每个移动用户响应于不确定的移动设备位置数据从公共可用信息中获得至少一个位置情境类别。该方法进一步包括将多用户协同机器学习应用于该组中的每个移动用户的至少一个位置上下文类别以推断该组中的每个移动用户的单个改进的位置上下文类别。

2. 发明申请

WO2014110099A2 RAILWAY TRACK GEOMETRY DEFECT MODELING FOR PREDICTING DETERIORATION, DERAILMENT RISK, AND OPTIMAL REPAIR 审中-公开
标题翻译：铁路轨迹几何预测建模，预测风险和最佳维修
公开(公告)号：WO2014110099A2
公开(公告)日：2014-07-17
申请号：PCT/US2014/010628
申请日：2014-01-08
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： BHATTACHARJYA, Debarun , HAMPAPUR, Arun , HE, Qing , LI, Hongfei , PARIKH, Dhaivat P.
CPC分类号： B61K9/08 , B61L23/042 , B61L27/0055 , B61L27/0088 , G06F17/5009 , G06Q10/06 , G06Q10/0635
摘要： Geo-defect repair modeling is provided. A method includes logically dividing a railroad network according to spatial and temporal dimensions with respect to historical data collected. The spatial dimensions include line segments of a specified length and the temporal dimensions include inspection run data for inspections performed for each of the line segments over a period of time. The method also includes creating a track deterioration model from the historical data, identifying geo-defects occurring at each inspection run from the track deterioration model, calculating a track deterioration condition from the track deterioration model by analyzing quantified changes in the geo-defects measured at each inspection run, and calculating a derailment risk based on track conditions determined from the inspection run data and the track deterioration condition. The method further includes determining a repair decision for each of the geo-defects based on the derailment risk and costs associated with previous comparable repairs.
摘要翻译：提供了地质缺陷修复建模。一种方法包括根据收集的历史数据根据空间和时间维度逻辑地划分铁路网络。空间维度包括指定长度的线段，并且时间维度包括在一段时间内为每个线段执行检查的检查运行数据。该方法还包括根据历史数据创建轨道退化模型，从轨道退化模型中识别在每个检验运行中发生的地理缺陷，通过分析在轨迹退化模型中测量的地质缺陷的量化变化，每次检查运行，并根据从检查运行数据和轨道劣化状况确定的轨道条件计算脱轨风险。该方法还包括基于脱轨风险和与先前相似维修相关联的成本来确定每个地理缺陷的修复决策。

3. 发明申请

WO2011025559A1 DETERMINING COST AND PROCESSING OF SENSED DATA 审中-公开
标题翻译：确定感知数据的成本和处理
公开(公告)号：WO2011025559A1
公开(公告)日：2011-03-03
申请号：PCT/US2010/030705
申请日：2010-04-12
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION , CHEN-RITZO, Ching-hua , EPSTEIN, David, Alexander , HAMILTON, Rick, Allen , HARTSWICK, Perry, G. , LI, Hongfei , PICKOVER, Clifford, Alan , WILLIAMS, Ralph, Peter
发明人： CHEN-RITZO, Ching-hua , EPSTEIN, David, Alexander , HAMILTON, Rick, Allen , HARTSWICK, Perry, G. , LI, Hongfei , PICKOVER, Clifford, Alan , WILLIAMS, Ralph, Peter
IPC分类号： G06F17/00
CPC分类号： G06Q30/0283 , G06Q30/06 , G06Q50/188
摘要： Methods, systems and apparatus for determining a proposed cost for use of sensor resources and selecting a method of processing of sensed data are presented. Such a method includes the steps of: predicting a state of an environment, obtaining at least one criterion related to the use of the sensor resources comprising one or more data sensors, determining the proposed cost for use of the sensor resources, acquiring the sensed data from the one or more data sensors, determining a characteristic of the sensed data, and selecting the method of processing the sensed data according to the determined characteristic and the predicted state. The at least one criterion is based upon the predicted state. The determining of the proposed cost is based on the at least one criterion. One or more of steps are implemented on the processor device.
摘要翻译：提出了用于确定传感器资源使用的建议成本和选择感测数据处理方法的方法，系统和装置。这种方法包括以下步骤：预测环境的状态，获得与包括一个或多个数据传感器的传感器资源的使用有关的至少一个准则，确定使用传感器资源的建议成本，获取感测数据从所述一个或多个数据传感器确定所述感测数据的特性，以及根据所确定的特性和所述预测状态来选择所述感测数据的处理方法。至少一个标准是基于预测的状态。建议成本的确定是基于至少一个标准。在处理器设备上实现一个或多个步骤。

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