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    Occupancy prediction using historical occupancy patterns
    2.
    发明授权
    Occupancy prediction using historical occupancy patterns 有权
    占用率预测使用历史占用模式

    公开(公告)号：US09176485B2

    公开(公告)日：2015-11-03

    申请号：US13151849

    申请日：2011-06-02

    申请人： John Charles Krumm ,  James W. Scott ,  Alice Jane Bernheim Brush ,  Brian R. Meyers ,  Stephen Edward Hodges

    发明人： John Charles Krumm ,  James W. Scott ,  Alice Jane Bernheim Brush ,  Brian R. Meyers ,  Stephen Edward Hodges

    IPC分类号： G05B13/04 ,  G05B15/02 ,  G06N7/00

    CPC分类号： G05B15/02 ,  G05B2219/2642 ,  G06N7/005

    摘要： Methods and systems for occupancy prediction using historical occupancy patterns are described. In an embodiment, an occupancy probability is computed by comparing a recent occupancy pattern to historic occupancy patterns. Sensor data for a room, or other space, is used to generate a table of past occupancy which comprises these historic occupancy patterns. The comparison which is performed identifies a number of similar historic occupancy patterns and data from these similar historic occupancy patterns is combined to generate an occupancy probability for a time in the future. In an example, time may be divided into discrete slots and binary values may be used to indicate occupancy or non-occupancy in each slot. An occupancy probability for a defined future time slot then comprises a combination of the binary values for corresponding time slots from each of the identified similar occupancy patterns.

    摘要翻译： 描述了使用历史占用模式进行占用预测的方法和系统。 在一个实施例中，通过将最近的占用模式与历史占用模式进行比较来计算占用概率。 用于房间或其他空间的传感器数据用于生成包含这些历史占用模式的过去占用表。 执行的比较确定了许多类似的历史占用模式，并且将来自这些类似的历史占用模式的数据组合以产生未来一段时间的占用概率。 在一个示例中，时间可以被划分为离散时隙，并且二进制值可以用于指示每个时隙中的占用或非占用。 然后，定义的未来时隙的占用概率包括来自所识别的相似占用模式中的每一个的相应时隙的二进制值的组合。

    OCCUPANCY PREDICTION USING HISTORICAL OCCUPANCY PATTERNS
    5.
    发明申请
    OCCUPANCY PREDICTION USING HISTORICAL OCCUPANCY PATTERNS 有权
    使用历史性OCCUPANCY PATTERNS的预测

    公开(公告)号：US20120310376A1

    公开(公告)日：2012-12-06

    申请号：US13151849

    申请日：2011-06-02

    申请人： John Charles Krumm ,  James W. Scott ,  Alice Jane Bernheim Brush ,  Brian R. Meyers ,  Stephen Edward Hodges

    发明人： John Charles Krumm ,  James W. Scott ,  Alice Jane Bernheim Brush ,  Brian R. Meyers ,  Stephen Edward Hodges

    IPC分类号： G05B13/04 ,  G06F15/18

    CPC分类号： G05B15/02 ,  G05B2219/2642 ,  G06N7/005

    摘要： Methods and systems for occupancy prediction using historical occupancy patterns are described. In an embodiment, an occupancy probability is computed by comparing a recent occupancy pattern to historic occupancy patterns. Sensor data for a room, or other space, is used to generate a table of past occupancy which comprises these historic occupancy patterns. The comparison which is performed identifies a number of similar historic occupancy patterns and data from these similar historic occupancy patterns is combined to generate an occupancy probability for a time in the future. In an example, time may be divided into discrete slots and binary values may be used to indicate occupancy or non-occupancy in each slot. An occupancy probability for a defined future time slot then comprises a combination of the binary values for corresponding time slots from each of the identified similar occupancy patterns.

    摘要翻译： 描述了使用历史占用模式进行占用预测的方法和系统。 在一个实施例中，通过将最近的占用模式与历史占用模式进行比较来计算占用概率。 用于房间或其他空间的传感器数据用于生成包含这些历史占用模式的过去占用表。 执行的比较确定了许多类似的历史占用模式，并且将来自这些类似的历史占用模式的数据组合以产生未来一段时间的占用概率。 在一个示例中，时间可以被划分为离散时隙，并且二进制值可以用于指示每个时隙中的占用或非占用。 然后，定义的未来时隙的占用概率包括来自所识别的相似占用模式中的每一个的相应时隙的二进制值的组合。

    RECOMMENDATIONS AND TARGETED ADVERTISING BASED UPON DIRECTIONS REQUESTS ACTIVITY AND DATA
    6.
    发明申请
    RECOMMENDATIONS AND TARGETED ADVERTISING BASED UPON DIRECTIONS REQUESTS ACTIVITY AND DATA 审中-公开
    根据方向推荐和指定的广告要求活动和数据

    公开(公告)号：US20120010996A1

    公开(公告)日：2012-01-12

    申请号：US12831267

    申请日：2010-07-07

    申请人： Eric Horvitz ,  John Charles Krumm

    发明人： Eric Horvitz ,  John Charles Krumm

    IPC分类号： G01C21/00 ,  G06Q30/00 ,  G06F17/30

    CPC分类号： G06Q30/02 ,  G06Q30/0255

    摘要： Concepts and technologies are described herein for providing recommendations and/or advertisements based upon route query activity. A web server is configured to receive queries from an entity. The queries and contextual data associated therewith can be analyzed, and data relating to the queries can be stored by the web server as route activity logs. Adjacent routes and explicit waypoint routing can be abstracted via address directories and ontologies to higher-level goals and the route activities and goals. Such data can serve as case libraries for the construction via machine learning of models that predict interests and preferences with visits to locations and the sequencing of such visits. Training data can include correlated contextual data such as the time and day, prior route queries, and weather, to learn predictive models. Predictions about context- and destination-centric goals and interests can be harnessed to predict preferences, target advertising about waypoints and alternative destinations of potential interest, or advertisements about location-centric or location-independent products or services, all of which can drive recommendations in the present or at a future time.

    摘要翻译： 本文描述了基于路线查询活动提供建议和/或广告的概念和技术。 Web服务器被配置为从实体接收查询。 可以分析与其相关联的查询和上下文数据，并且与查询相关的数据可以由web服务器存储为路由活动日志。 相邻路线和明确的航点路由可以通过地址目录和本体来提取到更高层次的目标和路线活动和目标。 这样的数据可以作为通过机器学习的模型的案例库，用于通过访问位置来预测兴趣和偏好的模型以及这种访问的顺序。 训练数据可以包括相关的语境数据，例如时间和日期，先前的路线查询和天气，以学习预测模型。 可以利用关于以情景和目的地为中心的目标和兴趣的预测来预测偏好，定位关于航点和潜在兴趣的替代目的地的广告，或关于以位置为中心或位置无关的产品或服务的广告，所有这些都可以推动 现在还是将来的时间。

    ROUTE PREDICTION
    7.
    发明申请
    ROUTE PREDICTION 有权
    路由预测

    公开(公告)号：US20100010733A1

    公开(公告)日：2010-01-14

    申请号：US12170068

    申请日：2008-07-09

    申请人： John Charles Krumm

    发明人： John Charles Krumm

    IPC分类号： G01C21/34 ,  G06N5/02

    CPC分类号： G01C21/3484

    摘要： Driving history of a user with regard to a particular road intersection can be collected and retained in storage. A Markov model can be used to predict likelihood of the user making a particular decision regarding the intersection. A highest likelihood decision can be identified and used to create a travel route. In addition, contextual information can be taken into account when creating the route, such as time of day, road conditions, user situation, and the like.

    摘要翻译： 关于特定道路交叉口的使用者的驾驶历史可以被收集并保存在存储器中。 可以使用马尔可夫模型来预测用户作出关于交叉路口的特定决策的可能性。 可以确定最高可能性决定并用于创建旅行路线。 另外，在创建路线时可以考虑上下文信息，例如时间，路况，用户状况等。

    Route prediction
    8.
    发明授权
    Route prediction 有权

    公开(公告)号：US09846049B2

    公开(公告)日：2017-12-19

    申请号：US12170068

    申请日：2008-07-09

    申请人： John Charles Krumm

    发明人： John Charles Krumm

    IPC分类号： G01C22/00 ,  G05D1/00 ,  G01C21/34

    CPC分类号： G01C21/3484

    摘要： Driving history of a user with regard to a particular road intersection can be collected and retained in storage. A Markov model can be used to predict likelihood of the user making a particular decision regarding the intersection. A highest likelihood decision can be identified and used to create a travel route. In addition, contextual information can be taken into account when creating the route, such as time of day, road conditions, user situation, and the like.

    Inferring beacon positions based on spatial relationships
    9.
    发明授权
    Inferring beacon positions based on spatial relationships 有权
    基于空间关系推测信标位置

    公开(公告)号：US08237612B2

    公开(公告)日：2012-08-07

    申请号：US12711889

    申请日：2010-02-24

    申请人： Jyh-Han Lin ,  John Charles Krumm ,  Arjun Sundararajan

    发明人： Jyh-Han Lin ,  John Charles Krumm ,  Arjun Sundararajan

    IPC分类号： G01S3/02

    CPC分类号： G01S5/0236 ,  G01S5/0036

    摘要： Estimating positions of beacons based on spatial relationships among neighboring beacons. Beacon reference data defining positions of beacons is stored from beacon fingerprints observed by devices (e.g., enabled with global positioning system receivers). For a received beacon fingerprint having at least one beacon for which the beacon reference data is missing (e.g., from a device without a GPS receiver), beacons in the received beacon fingerprint for which beacon reference data is available are identified. Based on these identified beacons, the missing beacon reference data is calculated. In some embodiments, a set of spatially diverse beacons is selected from the identified beacons prior to calculating the beacon reference data.

    摘要翻译： 根据相邻信标之间的空间关系估计信标的位置。 信标参考数据定义信标的位置从设备观测到的信标指纹（例如，使用全球定位系统接收机启用）存储。 对于具有信标参考数据丢失的至少一个信标（例如，来自没有GPS接收机的设备）的接收信标指纹，识别信标参考数据可用的接收信标指纹中的信标。 基于这些标识的信标，计算丢失的信标参考数据。 在一些实施例中，在计算信标参考数据之前，从所标识的信标中选择一组空间多样的信标。

    INFERRING BEACON POSITIONS BASED ON SPATIAL RELATIONSHIPS
    10.
    发明申请
    INFERRING BEACON POSITIONS BASED ON SPATIAL RELATIONSHIPS 有权
    基于空间关系的传播信标位置

    公开(公告)号：US20110205125A1

    公开(公告)日：2011-08-25

    申请号：US12711889

    申请日：2010-02-24

    申请人： Jyh-Han Lin ,  John Charles Krumm ,  Arjun Sundararajan

    发明人： Jyh-Han Lin ,  John Charles Krumm ,  Arjun Sundararajan

    IPC分类号： G01S5/02

    CPC分类号： G01S5/0236 ,  G01S5/0036

    摘要： Estimating positions of beacons based on spatial relationships among neighboring beacons. Beacon reference data defining positions of beacons is stored from beacon fingerprints observed by devices (e.g., enabled with global positioning system receivers). For a received beacon fingerprint having at least one beacon for which the beacon reference data is missing (e.g., from a device without a GPS receiver), beacons in the received beacon fingerprint for which beacon reference data is available are identified. Based on these identified beacons, the missing beacon reference data is calculated. In some embodiments, a set of spatially diverse beacons is selected from the identified beacons prior to calculating the beacon reference data.

    摘要翻译： 根据相邻信标之间的空间关系估计信标的位置。 信标参考数据定义信标的位置从设备观测到的信标指纹（例如，使用全球定位系统接收机启用）存储。 对于具有信标参考数据丢失的至少一个信标（例如，来自没有GPS接收机的设备）的接收信标指纹，识别信标参考数据可用的接收信标指纹中的信标。 基于这些标识的信标，计算丢失的信标参考数据。 在一些实施例中，在计算信标参考数据之前，从所标识的信标中选择一组空间多样的信标。