Debris signature-based robotic cleaning device navigation

    公开(公告)号:US12207787B2

    公开(公告)日:2025-01-28

    申请号:US17645488

    申请日:2021-12-22

    Applicant: KYNDRYL, INC.

    Abstract: Debris signature-based robotic cleaning device navigation includes operating the robotic cleaning device in a first mode as part of a vacuum cycle, the device including suction ports configurable for different suction power levels and each port having a suction path along which debris entering through the suction port is collected by the device. In the first operating mode the suction ports are operated at a first suction power level. The navigation also includes changing operation of the device to a second mode and in which the suction ports are operated at a greater suction power, measuring a respective amount of debris collected through each suction port, and selecting a direction in which to navigate the robotic cleaning device based on the debris measurements.

    ULTRASOUND SPLIT KEY TRANSMISSION FOR ENHANCED SECURITY

    公开(公告)号:US20220116203A1

    公开(公告)日:2022-04-14

    申请号:US17067857

    申请日:2020-10-12

    Applicant: Kyndryl, Inc.

    Abstract: The exemplary embodiments disclose a system and method, a computer program product, and a computer system for encryption. The exemplary embodiments may include receiving an encryption request from a first smart device, preparing a response to the encryption request and generating a key, encrypting the prepared response with the generated key, sending the encrypted response to the first smart device, splitting the key into two or more pieces, sending the two or more key pieces to a second smart device, sending the two or more key pieces from the second smart device to the first smart device, assembling the two or more key pieces into the key on the first smart device, and decrypting the encrypted response on the first smart device using the assembled key.

    IMAGE ENTITY EXTRACTION AND GRANULAR INTERACTIVITY ARTICULATION

    公开(公告)号:US20220309715A1

    公开(公告)日:2022-09-29

    申请号:US17215432

    申请日:2021-03-29

    Applicant: KYNDRYL, INC.

    Abstract: Methods, computer program products, and/or systems are provided that perform the following operations: identifying two or more distinct elements in an image; generating a sub-image for each of the two or more distinct elements; generating adjectives descriptive of content associated with a distinct element for each sub-image; displaying a response list including the adjectives associated with the distinct element of a selected sub-image in response to an interaction with the image; obtaining annotation data based in part on the response list displayed for the distinct element of the selected sub-image; and assigning the annotation data to the distinct element of the selected sub-image, wherein the annotation data is displayed in response to an interaction with the distinct element in the image.

    SELF-LEARNING ONTOLOGY-BASED COGNITIVE ASSIGNMENT ENGINE

    公开(公告)号:US20230222391A1

    公开(公告)日:2023-07-13

    申请号:US18184938

    申请日:2023-03-16

    Applicant: KYNDRYL, INC.

    CPC classification number: G06N20/00 G06N5/04

    Abstract: A cognitive assignment engine (CAE) system attempts to infer semantic meaning from textual content of an incoming message in order to use the inferred meaning to assign the message to an appropriate responder. If the message contains insufficient textual content, the system identifies ontological structures comprised by the message's graphical content and classifies each structure as a function of the structure's location within the graphical content or of an intrinsic characteristic of the structure. The system then generates a message identifier by performing a computation on these classifications and uses the identifier to retrieve a previously stored graphical template that comprises ontological structures similar to those of the incoming message. The system associates the incoming message with a semantic meaning previously associated with the template, enabling the system to classify the message and to assign the message to the correct responder.

    Self-learning ontology-based cognitive assignment engine

    公开(公告)号:US11620570B2

    公开(公告)日:2023-04-04

    申请号:US16449906

    申请日:2019-06-24

    Applicant: KYNDRYL, INC.

    Abstract: A cognitive assignment engine (CAE) system attempts to infer semantic meaning from textual content of an incoming message in order to use the inferred meaning to assign the message to an appropriate responder. If the message contains insufficient textual content, the system identifies ontological structures comprised by the message's graphical content and classifies each structure as a function of the structure's location within the graphical content or of an intrinsic characteristic of the structure. The system then generates a message identifier by performing a computation on these classifications and uses the identifier to retrieve a previously stored graphical template that comprises ontological structures similar to those of the incoming message. The system associates the incoming message with a semantic meaning previously associated with the template, enabling the system to classify the message and to assign the message to the correct responder.

    Ultrasound split key transmission for enhanced security

    公开(公告)号:US11502830B2

    公开(公告)日:2022-11-15

    申请号:US17067857

    申请日:2020-10-12

    Applicant: Kyndryl, Inc.

    Abstract: The exemplary embodiments disclose a system and method, a computer program product, and a computer system for encryption. The exemplary embodiments may include receiving an encryption request from a first smart device, preparing a response to the encryption request and generating a key, encrypting the prepared response with the generated key, sending the encrypted response to the first smart device, splitting the key into two or more pieces, sending the two or more key pieces to a second smart device, sending the two or more key pieces from the second smart device to the first smart device, assembling the two or more key pieces into the key on the first smart device, and decrypting the encrypted response on the first smart device using the assembled key.

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