SCALABLE DETECTION OF HARDWARE TROJANS USING ATPG-BASED ACTIVATION OF RARE EVENTS

    公开(公告)号:US20250086288A1

    公开(公告)日:2025-03-13

    申请号:US18794774

    申请日:2024-08-05

    Abstract: The present disclosure presents systems and methods for test pattern generation to detect a hardware Trojan. One such method comprises simulating an integrated circuit design; during the simulation, identifying rare nodes within the integrated circuit design that are activated less than a predefined rareness threshold, wherein the rare nodes include both signals and branches of the integrated circuit design; mapping each rare node to a stuck-at fault model; obtaining a first set of N test vectors for each stuck-at fault model using Automated Test Pattern Generation, wherein each of the N test vectors activates a same rare node of the integrated circuit design; identifying maximal cliques of rare nodes in the integrated circuit design that can be activated at a same time; and/or generating a second set of test vectors to activate each of the identified maximal cliques using Automated Test pattern Generation.

    SYSTEMS AND METHODS FOR FUNCTIONAL TASK PREDICTION USING DYNAMIC SUPERVOXEL PARCELLATIONS

    公开(公告)号:US20250057424A1

    公开(公告)日:2025-02-20

    申请号:US18720869

    申请日:2022-12-16

    Abstract: Various examples are provided related to dynamic brain parcellation. In one example, a method for functional task prediction with dynamic supervoxel parcellation includes preprocessing activation data obtained from brains of multiple subjects to generate one or more dynamic parcellated supervoxel maps of the brain, the activation data associated with a functional task, and determining an anatomical location of the functional task in the brain of another subject based upon classification of supervoxels of the one or more dynamic parcellated supervoxel maps. In another example, a system includes at least one computing device that can preprocess activation data to generate one or more dynamic parcellated supervoxel maps of the brain, the activation data associated with a functional task, and determine an anatomical location of the functional task based upon classification of supervoxels of the one or more dynamic parcellated supervoxel maps.

    AI-assisted code compliance checking for building and land development

    公开(公告)号:US12229480B1

    公开(公告)日:2025-02-18

    申请号:US18429741

    申请日:2024-02-01

    Inventor: Nawari O. Nawari

    Abstract: The present disclosure presents systems, methods, and non-transitory computer-readable media for transforming civil, architectural, or engineering drawings into Building Information Modeling (BIM) or Computer-Aided Design (CAD) models. One such method comprises training an artificial intelligence algorithm on a collection of 2D civil and architectural blueprint designs to enable the artificial intelligence algorithm to efficiently extract elements from the blueprint designs and map them into 3D data model objects; creating a 3D data model using the trained artificial intelligence algorithm, from an input collection of 2D blueprint designs; creating a project database by adding metadata from the input collection of 2D blueprint designs; generating a database of code rules and regulations; performing, using the project database, and the database of code rules and regulations, a compliance check to determine if the 3D data model complies with the database of code rules and regulations; and presenting results of the compliance check.

    COMPACT MECHANICAL WAVEGUIDES FOR IMPACT DEVICES

    公开(公告)号:US20250050487A1

    公开(公告)日:2025-02-13

    申请号:US18716598

    申请日:2022-12-02

    Abstract: The present disclosure relates to compact waveguide impact devices. One example includes a branching compact mechanical waveguide that has at least one input impact location and at least one input impact location output impact point. The compact waveguide impact device also includes at least one input impact component. A controller device activates the at least one input impact component to strike the at least one input impact location according to an input impact pattern, thereby producing a desired output impact pattern.

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