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    • 85. 发明申请
    • IDENTIFICATIONS OF PATTERNS OF LIFE THROUGH ANALYSIS OF DEVICES WITHIN MONITORED VOLUMES
    • 通过分析监测体积内的设备来识别生命形态
    • WO2018026589A1
    • 2018-02-08
    • PCT/US2017/043839
    • 2017-07-26
    • EDUARDO, RecavarrenRICHARDSON, BradYANYO, Lynn
    • EDUARDO, RecavarrenRICHARDSON, BradYANYO, Lynn
    • G06N5/00G06T7/00G06F17/30
    • G06F16/248G01S5/02G01S5/0263G06F16/284G06F2216/03H04N5/332
    • This document presents a system to identify patterns of life assocated with the users of radio frequency emitting devices radiating within a monitored volume. These recurring commonalities in human activity can be derived from collected data and subsequent analytics that provide intelligence about those emitters and associated humans present within the monitored volume. The Freya system provides unique identifiers for detected emitters; insights into the current network relationships between emitters, past and current; human relational networks within the monitored volume; and can identify previous emitter locations prior to detection by the Freya system. These patterns of life provide a foundation for predicting interactions between humans associated with emitters active on the Internet of Things (IoT). This capability provides enhanced security capabilities as required by authorities for sensitive venues and events.
    • 本文件提供了一种系统,用于识别与在监测体积内辐射的射频发射设备的用户相关联的生活模式。 这些人类活动中经常出现的共性可以从收集到的数据和随后的分析中获得,这些分析提供了关于监测体积内存在的那些发射体和相关人的智能。 Freya系统为检测到的发射器提供唯一的标识符; 洞察当前和过去排放者之间当前的网络关系; 监控卷内的人际关系网络; 并且可以在Freya系统检测之前识别先前的发射器位置。 这些生活模式为预测与物联网(IoT)上活跃的排放者相关联的人类之间的交互提供了基础。 这种能力为敏感场所和事件提供了权威机构要求的增强安全功能。
    • 87. 发明申请
    • METHODS AND SYSTEM FOR ANALYZING CONVERSATIONAL STATEMENTS AND PROVIDING FEEDBACK IN REAL-TIME
    • 用于分析对话陈述并提供实时反馈的方法和系统
    • WO2017111646A1
    • 2017-06-29
    • PCT/RU2015/000919
    • 2015-12-23
    • MOTOROLA SOLUTIONS, INC.
    • MARIASKIN, Evgenii LeonidovichGENERALOVA, Valeriia Antonovna
    • G06N5/00
    • G06N5/04G06F17/2775G06F17/30G10L2015/223G10L2015/228
    • A method and apparatus are provided for analyzing conversational statements and providing feedback in real-time. Audio stream data is recorded by a communication device and converted into a logical analysis format representation. Logical analysis is performed automatically on the logical analysis format representation of the natural-language statement. The logical analysis identifies one or more candidate output resolutions and identifies supplemental data that can confirm the one or more candidate output resolutions. The identified supplemental data is accessed and the one or more candidate output resolutions are evaluated based at least in part on the supplemental data. A feedback message is generated and displayed on the mobile communication device. The feedback message is indicative of the evaluation of the one or more candidate output resolutions and may provide a recommended follow-up question to be asked by the user of the communication device in the current conversation.
    • 提供了一种用于分析会话语句并实时提供反馈的方法和装置。 音频流数据由通信设备记录并转换成逻辑分析格式表示。 逻辑分析自动执行自然语言语句的逻辑分析格式表示。 逻辑分析标识一个或多个候选输出分辨率并标识可以确认一个或多个候选输出分辨率的补充数据。 识别的补充数据被访问,并且至少部分地基于补充数据来评估一个或多个候选输出分辨率。 反馈消息被生成并显示在移动通信设备上。 反馈消息表示对一个或多个候选输出分辨率的评估,并且可以提供要在当前对话中由通信设备的用户询问的推荐后续问题。