Power control loop for stabilization of link power

    公开(公告)号:US11817943B2

    公开(公告)日:2023-11-14

    申请号:US18164879

    申请日:2023-02-06

    CPC classification number: H04J14/0221 H04B10/07955 H04B10/1123

    Abstract: The technology employs a state-based power control loop (PCL) architecture to maintain tracking and communication signal-to-noise ratios at suitable levels for optimal tracking performance and data throughput in a free-space optical communication system. Power for a link is adjustable to stay within a functional range of receiving sensors in order to provide continuous service to users. This avoids oversaturation and possible damage to the equipment. The approach can include decreasing or increasing the power to counteract a surge or drop while maintaining a near constant received power at a remote communication device. The system may receive power adjustment feedback from another communication terminal and perform state-based power control according to the received feedback. This can include re-initializing and reacquiring a link with the other communication terminal automatically after loss of power, without human intervention. There may be a default state and discrete states including rain, fade, surge and unstable states.

    METHOD TO PRODUCE EVOLVING CONCRETE MIXTURE HEURISTIC

    公开(公告)号:US20230314404A1

    公开(公告)日:2023-10-05

    申请号:US18329298

    申请日:2023-06-05

    Abstract: Methods, systems, and apparatus for generating a recipe for a concrete mixture, comprising: obtaining an optical characterization of a set of particles; determining, based on the optical characterization, physical characteristics of the set of particles; generating a multispherical approximation of the set of particles; selecting, based on the physical characteristics of the set of particles and from a database of performance rules, performance rules applicable to the set of particles; predicting performance of a proposed recipe for a concrete mixture formed from the set of particles by: determining a wet flowability rating of the proposed recipe based on the selected performance rules; and determining a dry packing rating of the proposed recipe based on the multispherical approximation; iteratively altering the proposed recipe and predicting performance of the altered proposed recipe until the predicted performance satisfies performance criteria to obtain a final recipe; and outputting the final recipe.

    PARAMETER AND STATE INITIALIZATION FOR MODEL TRAINING

    公开(公告)号:US20230281362A1

    公开(公告)日:2023-09-07

    申请号:US17649472

    申请日:2022-01-31

    CPC classification number: G06F30/27

    Abstract: A set of conditions is defined that to be simulated via execution of a machine-learning model. For each condition, a set of learnable condition-specific parameters is identified to configure a model architecture. A first learnable condition-specific parameter associated with a first condition of the set of conditions can be identified a shared or global parameter that is to have a same value as at least another learnable condition-specific parameter (associated with another condition). One or more parameter data structures can be configured with parameter values for the sets of condition-specific parameters for the sets of conditions, where the configuration imposes a constraint that a value for the first condition-specific parameter and the at least one value for the at least one other condition-specific parameter are the same. The machine-learning model can be trained using the configured parameter data structure(s).

    DRIVE SYSTEM FOR EXOSUITS
    45.
    发明公开

    公开(公告)号:US20230270615A1

    公开(公告)日:2023-08-31

    申请号:US17683237

    申请日:2022-02-28

    Inventor: Radu Gogoana

    Abstract: In some implementations, an exosuit comprises a proximal portion, a distal portion, and a joint coupling the proximal and distal portion. The joint enables rotation of the distal portion about an axis with respect to the proximal portion. The exosuit includes a motor coupled to the proximal portion and a transmission configured to apply force from the motor to actuate the joint. The transmission includes multiple stages of reduction, including: a first stage comprising a belt that couples the motor to a drive pulley such that rotation of the motor rotates the drive pulley; and a second stage comprising (i) a winch having a spool configured to rotate with the drive pulley, and (ii) a cord that couples the spool to the distal portion such that rotation of the spool applies a force to actuate the joint.

    ASYNCHRONOUS ARCHITECTURE FOR EVOLUTIONARY COMPUTATION TECHNIQUES

    公开(公告)号:US20230252306A1

    公开(公告)日:2023-08-10

    申请号:US18302710

    申请日:2023-04-18

    CPC classification number: G06N3/126 G06F30/327

    Abstract: In some embodiments, an archipelago model is provided for distributed execution of evolutionary computing techniques. In some embodiments, an archipelago manager computing device manages a centralized archipelago management queue, and provides population subsets to a plurality of island computing devices. The archipelago manager computing device receives candidate solutions from the island computing devices, stores the candidate solutions in the archipelago management queue, and transmits candidate solutions from the archipelago management queue to the island computing devices in order to exchange candidate solutions between the island computing devices. The use of an archipelago management queue allows transfer of candidate solutions between different island computing devices, is robust to failure of any given island computing device, and does not require homogeneity within the plurality of island computing devices.

    ELECTROMAGNETIC SURVEYS WITH POWER TRANSMISSION LINES

    公开(公告)号:US20230243880A1

    公开(公告)日:2023-08-03

    申请号:US18160651

    申请日:2023-01-27

    CPC classification number: G01R29/0842 G01R31/085 G01R27/28 G01R29/0878

    Abstract: This disclosure describes a system and method for generating images by performing TEM surveys using pre-existing infrastructure such as transmission lines, or power lines, and naturally occurring transients such as lightning strikes or load switching. A relatively inexpensive sensor array can be installed on overhead power lines (e.g., electrical transmission or sub-transmission lines) which can detect transients in the overhead power lines. Transients in the overhead power lines can cause the power lines to emit pulses of electromagnetic (EM) radiation, which propagate into the earth's subsurface. This sudden change in electromagnetic field in the subsurface can induce eddy currents, which in turn emit return EM radiation that can propagate back to the overhead power line and induce secondary voltage and current transients. The magnitude of these secondary transients, and their time delay from the original transient are influenced by the properties of the subsurface in which the eddy currents formed.

    Derivative content creation using neural networks for therapeutic use

    公开(公告)号:US11710420B1

    公开(公告)日:2023-07-25

    申请号:US16720884

    申请日:2019-12-19

    CPC classification number: G09B19/00 G06N3/08 G16H20/70

    Abstract: A technique for dynamic generation of a therapeutic derivative story includes obtaining attribute data that describes characteristics of a content consumer along with situational details describing an emotional situation involving the content consumer. A relatability score for the therapeutic derivative story is determined. A content data structure (CDS) is selected. The CDS specifies story elements of a preexisting story. The story elements are associated with metadata constraints that constrain modification or use of the story elements. The metadata constraints indicate whether associated ones of the story elements are mutable story elements. One or more of the mutable story elements are adapted based on the attribute data or the situational details as constrained by the metadata constraints and to an extent determined at least in part by the relatability score to generate the therapeutic derivative story.

    ARTIFICIAL NEURAL NETWORK ARCHITECTURES BASED ON SYNAPTIC CONNECTIVITY GRAPHS

    公开(公告)号:US20230229901A1

    公开(公告)日:2023-07-20

    申请号:US18173157

    申请日:2023-02-23

    CPC classification number: G06N3/063 G06N3/04

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating an artificial neural network architecture based on a synaptic connectivity graph. According to one aspect, there is provided a method comprising: obtaining a synaptic resolution image of at least a portion of a brain of a biological organism; processing the image to identify: (i) a plurality of neurons in the brain, and (ii) a plurality of synaptic connections between pairs of neurons in the brain; generating data defining a graph representing synaptic connectivity between the neurons in the brain; determining an artificial neural network architecture corresponding to the graph representing the synaptic connectivity between the neurons in the brain; and processing a network input using an artificial neural network having the artificial neural network architecture to generate a network output.

Patent Agency Ranking