SMART MEETING SCHEDULER
    2.
    发明申请

    公开(公告)号:US20190019127A1

    公开(公告)日:2019-01-17

    申请号:US15889405

    申请日:2018-02-06

    IPC分类号: G06Q10/06 G06Q10/10

    摘要: Embodiments of the present invention provide methods, computer program products, and systems for scheduling a meeting. Embodiments of the present invention can be used to calculate a level of criticality and flexibility for each unavailable member of a set of members of a meeting that can be used to prioritize unavailable members of the meeting. Embodiments of the present invention can be used to identify candidate meeting times based, at least in part, on the level of criticality and flexibility for each unavailable member.

    SMART MEETING SCHEDULER
    3.
    发明申请

    公开(公告)号:US20190019126A1

    公开(公告)日:2019-01-17

    申请号:US15650176

    申请日:2017-07-14

    IPC分类号: G06Q10/06 G06Q10/10

    摘要: Embodiments of the present invention provide methods, computer program products, and systems for scheduling a meeting. Embodiments of the present invention can be used to calculate a level of criticality and flexibility for each unavailable member of a set of members of a meeting that can be used to prioritize unavailable members of the meeting. Embodiments of the present invention can be used to identify candidate meeting times based, at least in part, on the level of criticality and flexibility for each unavailable member.

    AUTOMATED HARDWARE FAILURE PREDICTION FRAMEWORK

    公开(公告)号:US20190004891A1

    公开(公告)日:2019-01-03

    申请号:US15638478

    申请日:2017-06-30

    IPC分类号: G06F11/07 G06N99/00

    摘要: A method and system for improving an automated hardware apparatus failure prediction system is provided. The method includes automatically retrieving operational data associated with operation of a hardware device being monitored for potential failure. Differing time frame software windows associated with observing operational data and hardware device are determined and the operational data is analyzed. In response, an apparatus malfunction prediction software application and a component prediction software application is generated. Features associated with execution of the software applications are generated and a first group of features are added to software code of the apparatus malfunction prediction software application. A second group of features are additionally added to software code of the component prediction software application.

    WEATHER BASED OBJECT PROTECTION USING DRONES

    公开(公告)号:US20180364714A1

    公开(公告)日:2018-12-20

    申请号:US15626547

    申请日:2017-06-19

    IPC分类号: G05D1/00 B64C39/02 B64D47/08

    摘要: A tool for protecting outdoor objects from weather related damage. Responsive to a registration request, the tool registers an object and an originating location where the object is currently located. The tool determines whether a risk threshold for the object is exceeded based, at least in part, on weather conditions at the originating location. Responsive to a determination that the risk threshold for the object is exceeded, the tool instructs one or more drones to relocate the object from an originating location to a protected location that is protected from the weather conditions.

    Protective action for protecting autonomous vehicles from impending weather conditions

    公开(公告)号:US10894544B2

    公开(公告)日:2021-01-19

    申请号:US15861810

    申请日:2018-01-04

    摘要: A protective action system and method includes detecting the impending weather conditions for a geographic region, and in response to detecting the impending weather conditions, determining that an initial location of the autonomous vehicle is located in the geographic region affected by the impending weather conditions, calculating a current risk of damage to the autonomous vehicle based on the impending weather conditions in the geographic region and a current state of the autonomous vehicle, comparing the current risk of damage to a threshold of acceptable risk of damage, wherein, the current risk of damage exceeds a threshold of acceptable risk, assessing a user calendar to determine that taking a protective action by the autonomous vehicle is acceptable, and instructing the autonomous vehicle to take the protective action so that the current state of the autonomous vehicle is changed to a safe state to avoid damage from the impending weather conditions.