DYNAMIC MITIGATION OF FAN NOISE DURING E-CONFERENCE BASED ON REAL-TIME AND RETROACTIVE DATA

    公开(公告)号:US20230152758A1

    公开(公告)日:2023-05-18

    申请号:US17454881

    申请日:2021-11-15

    CPC classification number: G05B13/041 H04R29/004 G06F1/20

    Abstract: According to one embodiment, a method, computer system, and computer program product for mitigating computer fan noise. The embodiment may include retrieving a previously generated baseline profile for a user participating in a real-time e-conference call via a computing device. The embodiment may include identifying real-time hardware and software metrics of the computing device. The embodiment may include calculating a current fan indicative noise (FIN) score for the call based on the baseline profile and the identified metrics. The embodiment may include determining whether the current FIN score is above a threshold value. In response to determining that the FIN score is above a threshold value, the embodiment may include determining whether the computing device is at risk of damage. In response to determining that the computing device is not at risk of damage, the embodiment may include limiting operation of one or more fans of the computing device.

    IDENTIFYING RELATED MESSAGES IN A NATURAL LANGUAGE INTERACTION

    公开(公告)号:US20210342963A1

    公开(公告)日:2021-11-04

    申请号:US16863786

    申请日:2020-04-30

    Abstract: By executing a natural language processing model on a set of natural language text describing a first engagement, a set of characteristics of the first engagement is generated. By executing the natural language processing model on a set of natural language text describing a future engagement, a set of characteristics of the future engagement is generated. The first engagement is determined to be above a threshold similarity with the future engagement. Using the skillset used in performing the first engagement, a required skillset of the future engagement is forecasted. By executing the natural language processing model on a set of natural language text describing a current skillset, a set of characteristics of the current skillset is generated. Using the required skillset of the future engagement and the set of characteristics of the current skillset, a learning path is generated.

    INTELLIGENT MASKING OF NON-VERBAL CUES DURING A VIDEO COMMUNICATION

    公开(公告)号:US20200314483A1

    公开(公告)日:2020-10-01

    申请号:US16367850

    申请日:2019-03-28

    Abstract: Aspects of the present invention disclose a method, computer program product, and system for masking a non-verbal cue. The method includes one or more processors identifying a user within streaming data of a video communication. The method further includes identifying a non-verbal cue by the user included in the streaming data of the video communication. The method further includes determining whether the identified non-verbal cue corresponds to an excluded category of actions for the video communication. The method further includes in response to determining that the identified non-verbal cue corresponds to an excluded category of actions for the video communication, masking the identified non-verbal cue by overlaying a substitute representation of the user over the user in the streaming data of the video communication.

    DYNAMICALLY ADJUSTING GRIP PANEL
    7.
    发明申请

    公开(公告)号:US20200167434A1

    公开(公告)日:2020-05-28

    申请号:US16202823

    申请日:2018-11-28

    Abstract: Aspects determine optimal physical attribute values for defining a grip form factor on a microfluidic grip panel of a digital pen as a function of a correlation of the optimal physical attribute values to an intended use of the digital pen, wherein the optimal physical attribute values include a width dimension, a surface texture attribute, and shape pattern attribute that is defined as a function of the width dimension; and drive the microfluidic grip panel into a grip form corresponding to the determined optimal physical attribute values during use of the digital pen by a user.

    SMART CONTACT LENS BASED COLLABORATIVE VIDEO CONFERENCING

    公开(公告)号:US20200162698A1

    公开(公告)日:2020-05-21

    申请号:US16196424

    申请日:2018-11-20

    Abstract: A method and system for collaborative conferencing between participants wearing smart contact lenses is provided. A first video content of a presentation is received by a master device from a first device paired with a first set of smart contact lenses. A second video content of the presentation is received by the master device from a second device paired with a second set of smart contact lenses. After analyzing the first and the second video content to identify a first and a second set of parameters, if the first and the second set of parameters fail to exceed a threshold, a third video content is created from combining the first and the second video content and the third video content is transmitted to the first and the second set of smart contact lenses for display.

    PHONETIC PATTERNS FOR FUZZY MATCHING IN NATURAL LANGUAGE PROCESSING

    公开(公告)号:US20200097540A1

    公开(公告)日:2020-03-26

    申请号:US16696098

    申请日:2019-11-26

    Abstract: A token is extracted from a Natural Language input. A phonetic pattern is computed corresponding to the token, the phonetic pattern including a sound pattern that represents a part of the token when the token is spoken. New data is created from data of the phonetic pattern, the new data including a syllable sequence corresponding to the phonetic pattern. A state of a data storage device is changed by storing the new data in a matrix of syllable sequences corresponding to the token. An option is selected that corresponds to the token by executing a fuzzy matching algorithm using a processor and a memory, the selecting of the option is based on a syllable sequence in the matrix.

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