DETERMINING A CONTEXT-DEPENDENT VIRTUAL DISTANCE USING MEASUREMENTS OF STIGMERGIC INTERFERENCE
    21.
    发明申请
    DETERMINING A CONTEXT-DEPENDENT VIRTUAL DISTANCE USING MEASUREMENTS OF STIGMERGIC INTERFERENCE 审中-公开
    使用稳定干扰的测量来确定与背景相关的虚拟距离

    公开(公告)号:WO2016032744A1

    公开(公告)日:2016-03-03

    申请号:PCT/US2015/044672

    申请日:2015-08-11

    Abstract: Systems and methods are disclosed for determining a context-dependent virtual distance based on stigmergic interference. The method may include obtaining environmental status information relating to an environment in proximity to a client device, calculating, based on the obtained environmental status information, the context-dependent virtual distance between the client device and a user of the client device, and controlling a user signaling pattern of the client device based on the calculated context-dependent virtual distance.

    Abstract translation: 公开了系统和方法,用于基于刺激干扰确定与情景相关的虚拟距离。 该方法可以包括获得与客户端设备附近的环境相关的环境状态信息,基于所获得的环境状态信息,计算客户端设备与客户端设备的用户之间的上下文相关的虚拟距离,并且控制 基于所计算的上下文相关虚拟距离的客户端设备的用户信令模式。

    DERIVING USER CHARACTERISTICS FROM USERS' LOG FILES
    22.
    发明申请
    DERIVING USER CHARACTERISTICS FROM USERS' LOG FILES 审中-公开
    从用户的日志文件中导出用户特征

    公开(公告)号:WO2015187344A1

    公开(公告)日:2015-12-10

    申请号:PCT/US2015/031168

    申请日:2015-05-15

    Abstract: Systems and methods for generating a grammar describing activities of a user are disclosed. An aspect receives log data for the user, clusters the log data around a plurality of cluster centroids, assigns one or more semantic labels to each of the plurality of cluster centroids based on determining that a threshold number of log data points have been assigned to each of the plurality of cluster centroids, determines a sequence in which the log data points were clustered around the plurality of cluster centroids, generates one or more grammars representing a sequence of possible activities of the user based on the sequence in which the log data points were clustered around the plurality of cluster centroids and the one or more semantic labels of each of the plurality of cluster centroids, and filters the assigned one or more semantic labels for each of the plurality of cluster centroids.

    Abstract translation: 公开了用于生成描述用户的活动的语法的系统和方法。 一个方面接收用户的日志数据,围绕多个群集质心聚集日志数据,基于确定已经将阈值数量的日志数据点分配给每个群集中心,向多个群集质心中的每一个分配一个或多个语义标签 确定多个群集中心周围的日志数据点聚类的序列,根据日志数据点为的顺序,生成表示用户可能活动序列的一个或多个语法 聚集在所述多个聚类中心周围以及所述多个聚类质心中的每一个的所述一个或多个语义标签,并且针对所述多个聚类质心中的每个聚类质心筛选所分配的一个或多个语义标签。

    PREEMPTIVELY TRIGGERING A DEVICE ACTION IN AN INTERNET OF THINGS (IoT) ENVIRONMENT BASED ON A MOTION-BASED PREDICTION OF A USER INITIATING THE DEVICE ACTION
    23.
    发明申请
    PREEMPTIVELY TRIGGERING A DEVICE ACTION IN AN INTERNET OF THINGS (IoT) ENVIRONMENT BASED ON A MOTION-BASED PREDICTION OF A USER INITIATING THE DEVICE ACTION 审中-公开
    基于用户启动设备操作的基于运动的预测,在互联网(IoT)环境中的设备行为进行初步的触发

    公开(公告)号:WO2015103154A1

    公开(公告)日:2015-07-09

    申请号:PCT/US2014/072591

    申请日:2014-12-29

    CPC classification number: G05B15/02 G05B2219/2642 H04L67/12 H04W4/70

    Abstract: In an embodiment, an apparatus receives report(s) of raw motion data detected in IoT environment, and also receives report(s) indicating user-initiated event(s) detected by a set of IoT devices within the IoT environment. The apparatus scans the raw motion data within a threshold period of time preceding particular detected user-initiated events to identify motion sequence(s) within the IoT environment that occurred during the threshold period of time. Certain motion sequence(s) are correlated with user-initiated event(s) based on a confidence level that the user-initiated event(s) will follow the motion sequence(s). Upon detection of the motion sequence(s) at some later point in time, the correlated event(s) is preemptively triggered without user interaction.

    Abstract translation: 在一个实施例中,装置接收在物联网环境中检测的原始运动数据的报告,并且还接收指示由物联网环境内的一组物联网设备检测到的用户发起的事件的报告。 该装置在特定检测到的用户发起的事件之前的阈值时段内扫描原始运动数据,以识别在阈值时段期间发生的IoT环境内的运动序列。 基于用户发起的事件将遵循运动序列的置信水平,某些运动序列与用户发起的事件相关。 在稍后时间点检测到运动序列时,相关事件在没有用户交互的情况下被抢先触发。

    A PARALLEL METHOD FOR AGGLOMERATIVE CLUSTERING OF NON-STATIONARY DATA
    24.
    发明申请
    A PARALLEL METHOD FOR AGGLOMERATIVE CLUSTERING OF NON-STATIONARY DATA 审中-公开
    用于非静态数据的并行聚类的并行方法

    公开(公告)号:WO2014194086A1

    公开(公告)日:2014-12-04

    申请号:PCT/US2014/040018

    申请日:2014-05-29

    CPC classification number: G06F9/466 G06F9/54 G06N5/043 G06N99/005

    Abstract: The disclosure is directed to clustering a stream of data points. An aspect receives the stream of data points, determines a plurality of cluster centroids, divides the plurality of cluster centroids among a plurality of threads and/or processors, assigns a portion of the stream of data points to each of the plurality of threads and/or processors, and combines a plurality of clusters generated by the plurality of threads and/or processors to generate a global universe of clusters. An aspect assigns a portion of the stream of data points to each of a plurality of threads and/or processors, wherein each of the plurality of threads and/or processors determines one or more cluster centroids and generates one or more clusters around the one or more cluster centroids, and combines the one or more clusters from each of the plurality of threads and/or processors to generate a global universe of clusters.

    Abstract translation: 本公开旨在对数据点流进行聚类。 方面接收数据点流,确定多个聚类质心,在多个线程和/或处理器之间划分多个聚类质心,将数据流流的一部分分配给多个线程中的每一个和/ 或处理器,并且组合由所述多个线程和/或处理器生成的多个集群以生成集群的全局宇宙。 一个方面将数据流流的一部分分配给多个线程和/或处理器中的每一个,其中多个线程和/或处理器中的每个线程和/或处理器确定一个或多个簇中心并且生成一个或多个簇周围的一个或多个簇 更多的集群中心,并且组合来自多个线程和/或处理器中的每一个的一个或多个集群以生成集群的全局Universe。

    CONTEXT AWARE ACTIONS AMONG HETEROGENEOUS INTERNET OF THINGS (IOT) DEVICES
    25.
    发明申请
    CONTEXT AWARE ACTIONS AMONG HETEROGENEOUS INTERNET OF THINGS (IOT) DEVICES 审中-公开
    在异构互联网(IOT)设备的背景知识行动

    公开(公告)号:WO2014131029A2

    公开(公告)日:2014-08-28

    申请号:PCT/US2014/018390

    申请日:2014-02-25

    Abstract: An aspect enables context aware actions among heterogeneous Internet of Things (IoT) devices. An IoT device receives data representing a context of each of a first set of IoT devices, receives data representing a current state of each of a second set of IoT devices, and determines an action to perform at a target IoT based on the received data. An aspect verifies an implied relationship between a first user and a second user by detecting an interaction between a first user device belonging to the first user and a second user device belonging to the second user, storing information related to the interaction in a first interaction table associated with the first user device, assigning a relationship identifier to the second user based, at least in part, on the information related to the interaction, and determining whether or not the assigned relationship identifier is correct.

    Abstract translation: 一个方面可以实现异构物联网(IoT)设备中的上下文感知行为。 IoT设备接收表示第一组IoT设备中的每一个的上下文的数据,接收表示第二组IoT设备的当前状态的数据,并且基于接收的数据确定在目标IoT处执行的动作。 方面通过检测属于第一用户的第一用户设备和属于第二用户的第二用户设备之间的交互来验证第一用户和第二用户之间的隐含关系,将与第一交互表中的交互相关的信息存储在第一交互表中 至少部分地基于与所述交互相关的信息,以及确定所分配的关系标识符是否正确,将所述关系标识符分配给所述第二用户。

    METHODS TO DISCOVER, CONFIGURE, AND LEVERAGE RELATIONSHIPS IN INTERNET OF THINGS (IOT) NETWORKS
    26.
    发明申请
    METHODS TO DISCOVER, CONFIGURE, AND LEVERAGE RELATIONSHIPS IN INTERNET OF THINGS (IOT) NETWORKS 审中-公开
    在物联网(物联网)中发现,配置和利用互联网关系的方法

    公开(公告)号:WO2014131021A2

    公开(公告)日:2014-08-28

    申请号:PCT/US2014/018369

    申请日:2014-02-25

    Abstract: The disclosure generally relates to various methods to discover, configure, and leverage relationships in Internet of Things (IoT) networks. More particularly, the methods disclosed herein may support automated processes to create configurable sub-divisions and access controls in an IoT network based on usage associated with objects that are registered in the IoT network and interactions among the registered objects. Furthermore, in one embodiment, relationships between IoT devices that belong to different users may be implicitly discovered and/or ranked based on meetings (e.g., interactions) between the IoT devices, and relationships between the different users may likewise be implicitly discovered and/or ranked. Moreover, locations and interactions associated with IoT devices may be tracked over time to further discover user-specific and potentially asymmetric relationships among the IoT devices and/or the users associated therewith (e.g., where one user considers another user a close friend and the other user considers the first user an acquaintance).

    Abstract translation: 本公开一般涉及发现,配置和利用物联网(IoT)网络中的关系的各种方法。 更具体地,本文公开的方法可以支持自动化过程,以基于与在IoT网络中注册的对象相关联的使用以及注册对象之间的交互来在IoT网络中创建可配置子划分和访问控制。 此外,在一个实施例中,属于不同用户的IoT设备之间的关系可以基于IoT设备之间的会议(例如,交互)被隐式地发现和/或排列,并且不同用户之间的关系同样可以被隐式地发现和/或 排名。 此外,可以随时间跟踪与IoT设备相关联的位置和交互,以进一步发现IoT设备和/或与其相关联的用户之间的用户特定和潜在的不对称关系(例如,一个用户将另一个用户视为好友和另一个用户 用户认为第一个用户是熟人)。

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