COGNITIVE AND INTERACTIVE SENSOR BASED SMART HOME SOLUTION

    公开(公告)号:US20240078084A1

    公开(公告)日:2024-03-07

    申请号:US18389422

    申请日:2023-11-14

    CPC classification number: G06F3/167

    Abstract: Systems and methods for smart sensors are provided. A smart sensor includes: a computer processor; a microphone; and a memory storing a voice control module. The voice control module may be configured to: resolve a first voice command received by the microphone and determine a first identity of a first registered user of a plurality of registered users based on the first voice command. In embodiments, resolving the first voice command includes determining a first instruction. In additional embodiments, the smart sensor may be configured to carry out the first instruction based on first user data associated with the first user.

    COGNITIVE AND INTERACTIVE SENSOR BASED SMART HOME SOLUTION

    公开(公告)号:US20210232363A1

    公开(公告)日:2021-07-29

    申请号:US17232697

    申请日:2021-04-16

    Abstract: Systems and methods for smart sensors are provided. A smart sensor includes: a case; a power adapter configured to be plugged directly into an electrical outlet; a computer processor; a microphone; a speaker; a camera; at least one sensor; a control switch; a sync button; a USB port; and a memory storing: an operating system; a voice control module; a peer interaction module; a remote interaction module; and a cognitive module. In embodiments, the power adapter includes prongs that extend from a back side of the case, and the microphone, the speaker, the camera, and the at least one sensor are on a front side of the case opposite the back side of the case.

    VEHICLE LOCATION DETECTION
    3.
    发明申请

    公开(公告)号:US20200279489A1

    公开(公告)日:2020-09-03

    申请号:US16288151

    申请日:2019-02-28

    Abstract: An embodiment of the invention may include a method, computer program product and computer system for vehicle location detection. The method, computer program product and computer system may include a computing device which may receive image data from an imaging device associated with a vehicle and sensor data from a vehicle sensor device associated with the vehicle. The computing device may detect the vehicle has entered a parking scene based on the received image data. The computing device may detect the surroundings of the vehicle using the imaging device. The computing device may determine the vehicle is parking based on the received sensor data. The computing device may identify a parking location of the vehicle based on the received image data, receive image data and detect the surroundings associated with the identified parking location. The computing device may generate a notification to a user associated with the vehicle.

    Determining settings of a camera apparatus

    公开(公告)号:US09986149B2

    公开(公告)日:2018-05-29

    申请号:US14826693

    申请日:2015-08-14

    CPC classification number: H04N5/23216 G06F17/30274 H04N5/23206 H04N5/23222

    Abstract: Methods and computer program products for determining one or more settings of a camera apparatus are provided. The methods include obtaining one or more parameters of the camera apparatus and determining one or more settings of the camera apparatus using the one or more parameters and an image repository. The image repository may include images with image parameters associated with the images, which may be correlated with the one or more parameters of the camera apparatus, and the images may also have an associated rating attribute. One or more images may be identified for inclusion in a subset of images, based on an image's image parameters and/or based on an image's rating attribute. The camera settings of one image of the subset of images, corresponding to the settings used to create the one image, may be used to automatically adjust the one or more settings of the camera apparatus.

    DETERMINING SETTINGS OF A CAMERA APPARATUS
    6.
    发明申请
    DETERMINING SETTINGS OF A CAMERA APPARATUS 有权
    确定摄像机的设置

    公开(公告)号:US20170048449A1

    公开(公告)日:2017-02-16

    申请号:US14826693

    申请日:2015-08-14

    CPC classification number: H04N5/23216 G06F17/30274 H04N5/23206 H04N5/23222

    Abstract: Methods and computer program products for determining one or more settings of a camera apparatus are provided. The methods include obtaining one or more parameters of the camera apparatus and determining one or more settings of the camera apparatus using the one or more parameters and an image repository. The image repository may include images with image parameters associated with the images, which may be correlated with the one or more parameters of the camera apparatus, and the images may also have an associated rating attribute. One or more images may be identified for inclusion in a subset of images, based on an image's image parameters and/or based on an image's rating attribute. The camera settings of one image of the subset of images, corresponding to the settings used to create the one image, may be used to automatically adjust the one or more settings of the camera apparatus.

    Abstract translation: 提供了用于确定相机设备的一个或多个设置的方法和计算机程序产品。 所述方法包括获取相机装置的一个或多个参数,并使用一个或多个参数和图像储存库确定相机装置的一个或多个设置。 图像存储库可以包括具有与图像相关联的图像参数的图像,其可以与相机装置的一个或多个参数相关联,并且图像也可以具有相关联的评级属性。 可以基于图像的图像参数和/或基于图像的评级属性来识别一个或多个图像以包括在图像的子集中。 对应于用于创建一个图像的设置的图像子集的一个图像的相机设置可以用于自动调整相机装置的一个或多个设置。

    SCHEDULING IN JOB EXECUTION
    7.
    发明申请
    SCHEDULING IN JOB EXECUTION 有权
    作业时间安排

    公开(公告)号:US20150121392A1

    公开(公告)日:2015-04-30

    申请号:US14528595

    申请日:2014-10-30

    CPC classification number: G06F9/505 G06F9/50 G06F9/5044

    Abstract: The present invention relates to a method, apparatus, and computer program product for scheduling in job execution. According to embodiments of the present invention, there is provided a method for scheduling a plurality of job slots shared by one or more pre-processors and one or more post-processors in job execution, wherein the data generated by the pre-processor(s) will be fed to the post-processor(s) for processing. The method comprises: determining an overall data generation speed of the pre-processor(s); determining an overall data consumption speed of the post-processor(s); and scheduling allocation of at least one of the job slots between the pre-processor(s) and the post-processor(s) based on the overall data generation speed and the overall data consumption speed. Corresponding apparatus is disclosed as well.

    Abstract translation: 本发明涉及一种用于在作业执行中进行调度的方法,装置和计算机程序产品。 根据本发明的实施例,提供了一种用于在作业执行中调度由一个或多个预处理器和一个或多个后处理器共享的多个作业时隙的方法,其中由预处理器 )将被馈送到后处理器进行处理。 该方法包括:确定预处理器的总体数据生成速度; 确定后处理器的总体数据消耗速度; 以及基于总体数据生成速度和总体数据消耗速度来调度在预处理器和后处理器之间的至少一个作业时隙的分配。 也公开了相应的装置。

    Automated Knowledge Graph Based Regression Scope Identification

    公开(公告)号:US20230305815A1

    公开(公告)日:2023-09-28

    申请号:US17700905

    申请日:2022-03-22

    CPC classification number: G06F8/30

    Abstract: Mechanisms are provided to automatically identify a regression scope of a requirements specification for at least one functionality of a software product. A first knowledge graph, having function entities, is generated of the requirements specification specifying functional requirements for a software product and a first vector representation is generated for the function entities. Code entities for existing code for the software product are generated that comprise features associated with portions of the existing code, and a second vector representation is generated for these code entities. Code entities are linked to function entities based on a vector similarity analysis between the first vector representation and the second vector representation. A regression scope knowledge graph output is generated, based on the linked code entities and function entities, that depicts relationships between function entities corresponding to the functional requirements with code entities corresponding to portions of existing code for the software product.

    Cognitive analysis to generate and evaluate implementation plans

    公开(公告)号:US11461715B2

    公开(公告)日:2022-10-04

    申请号:US16838474

    申请日:2020-04-02

    Abstract: Techniques for text evaluation are provided. A curated dataset comprising a plurality of textual documents is received. A tree of classifiers is trained, based on the curated dataset, to identify use cases. A feature graph model is generated, based on the curated dataset, to determine textual similarity. A new document is received, and a plurality of requirements is extracted from the new document. For each requirement, one or more vector scores are generated by evaluating the requirement using the tree of classifiers, one or more feature scores are generated by evaluating the requirement using the feature graph model, and one or more use cases are identified for the new textual document based on the one or more vector scores and the one or more feature scores. An implementation is generated for the new document based on the one or more use cases.

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