Abstract: The present disclosure relates to systems and methods to implement efficient high-bandwidth shared memory systems particularly suited for parallelizing and operating large scale machine learning and AI computing systems necessary to efficiently process high volume data sets and streams.

Abstract: A weight apply system capable of changing tooling to apply weights to an assembly to correct unbalance. It may include a selectively movable arm, at least one weight apply tool, the ability to change the tooling based on assembly type, and a controller configured to manage the selection of the tool, loading the weight, and application of the weight to the assembly in station.

Abstract: A system and a method are disclosed containerizing a source code file. In some embodiments, the system detects a command to navigate a user interface to a machine station. The system responsively generates for display using the user interface a station identifier corresponding to the machine station and a drag-and-drop interface. The system receives a source code file by way of a drag-and-drop operation being performed with respect to the drag-and-drop interface. The system selects a machine of the machine station to execute the source code file, containerizes the source code file based on a language used by the selected machine, and commands the selected machine to execute the containerized source code file. The system generates for display results of the executed containerized source code file using the user interface.

Abstract: A bead exerciser system for an automated wheel assembly may include a center lift configured to lift a wheel assembly off of a conveyor belt, a drum roller configured to rotate the wheel assembly, a pair of pinch rollers driven by a driver and configured to apply force to a tire of the wheel assembly, a force sensor configured to detect a force of the tire against the pinch rollers, and a controller configured to receive the force from the force sensor and generate a command for an alert in response to the force falling outside of a predefined threshold range.

Abstract: The present disclosure relates to systems and methods to implement efficient high-bandwidth shared memory systems particularly suited for parallelizing and operating large scale machine learning and AI computing systems necessary to efficiently process high volume data sets and streams.

Abstract: A system and methods are disclosed for enabling users to attach a tag and highlight in a single action or activity to a select piece or portion of text in digital content (e.g., in a digital book or other content provided for viewing on an electronic device). In some implementations, the teacher may associate a tag with a particular text in the assignment, push the assignment embedding the tag to one or more students, and the tag becomes automatically visible to the one or more students through their highlight menu when they open up the assignment for completion. In some implementations, with this single activity, users may easily share tasks, comments etc., with ease. One or more other activities are also used among teachers and students to create and execute assignments with efficiency.

Abstract: Fasteners and methods for mounting a frame onto a previously installed mirror without requiring removal of the previously installed mirror are provided. Each fastener includes a support panel. A first bracket portion extends from a first face of the support panel and is configured to receive a portion of an outer edge of the previously installed mirror. A second bracket portion extends from a second face of the support panel and is configured to receive the frame.

Abstract: A distributed computing device stores user preference data representing preferences of a user with respect to a portion of a set of items. The distributed computing device randomly samples the user preference data to calculate sampled user preference data. The distributed computing device iteratively executes, in conjunction with additional distributed computing devices connected by a network, a process to determine a consensus result for the sampled user preference data. The consensus result is based on the sampled user preference data and additional sampled user preference data calculated by the additional distributed computing devices and based on preferences of additional users. The distributed computing device determines a recommendation model based on the consensus result, the recommendation model reflecting preferences of the user and additional users.

Abstract: A request processing system uses Iframes and in particular, nested Iframes to provide an isolated environment where various forms of user requests can be processed for different clients within one outer Iframe that can be re-instantiated across various client web applications. A user request can include a payment made using a cryptocurrency against the user's blockchain wallet. The request processing system can employ persistent authorization storage to allow users to authenticate themselves for future requests without further involving themselves (e.g., exposing their private key to authenticate themselves). The request processing system utilizes nested Iframes to promote security among simultaneously processed requests. Each nested Iframe can perform operations that are isolated from other nested Iframes.

Abstract: A bead exerciser system for an automated wheel assembly may include a center lift configured to lift a wheel assembly off of a conveyor belt, a drum roller configured to rotate the wheel assembly, a pair of pinch rollers driven by a driver and configured to apply force to a tire of the wheel assembly, a force sensor configured to detect a force of the tire against the pinch rollers, and a controller configured to receive the force from the force sensor and generate a command for an alert in response to the force falling outside of a predefined threshold range.

Abstract: A system and a method are disclosed containerizing a source code file. In some embodiments, the system detects a command to navigate a user interface to a machine station. The system responsively generates for display using the user interface a station identifier corresponding to the machine station and a drag-and-drop interface. The system receives a source code file by way of a drag-and-drop operation being performed with respect to the drag-and-drop interface. The system selects a machine of the machine station to execute the source code file, containerizes the source code file based on a language used by the selected machine, and commands the selected machine to execute the containerized source code file. The system generates for display results of the executed containerized source code file using the user interface.

Abstract: A method of preparing a fracturing fluid comprising: preparing or providing an aqueous fluid containing iron ions; screening a plurality of friction reducers against the aqueous fluid wherein the plurality of friction reducers are anionic, cationic, nonionic, amphoteric, or combinations thereof; selecting at least one friction reducer from the plurality of friction reducers based at least in part on the step of screening; and preparing a fracturing fluid including the at least one friction reducer.

Abstract: A method may include: preparing or providing an aqueous fluid containing iron ions; screening at least one iron control agent against the aqueous fluid; selecting at least one iron control agent and iron control agent concentration based at least in part on the step of screening; and preparing a fracturing fluid comprising an aqueous base fluid and the at least one iron control agent wherein a concentration of the iron control agent in the fracturing fluid is greater than or equal to the selected iron control agent concentration.

Abstract: A robotic press assembly configured to apply force to a wheel, may include a selectively moveable arm that is operatively connected to a body portion at a first end thereof; and a press tool operatively connected to a second end of the moveable arm; wherein the press tool includes at least one mounting bracket maintaining a press tool thereon, the mounting bracket arranged on a platform, and a base operatively connected to the second end of the arm, the platform being slidably fixed to the base in order to adjust the lateral displacement of the press tool, and wherein the press tool is configured to apply force at the wheel.

Abstract: Included is a combine having a feeder housing for receiving harvested crop, a separating system for threshing the harvested crop to separate grain from residue, a crop cleaning system including a cleaning fan powered by a fan drive to propel the residue into a residue system of the combine, at least one sensor for detecting an operational parameter of the fan drive, and a controller coupled to the at least one sensor. The controller is configured to determine a load on the fan drive from the detected operational parameter, compare the determined load to a load threshold, and control a speed of the cleaning fan based on the comparison.

Abstract: A system and a method are disclosed containerizing a source code file. In some embodiments, the system detects a command to navigate a user interface to a machine station. The system responsively generates for display using the user interface a station identifier corresponding to the machine station and a drag-and-drop interface. The system receives a source code file by way of a drag-and-drop operation being performed with respect to the drag-and-drop interface. The system selects a machine of the machine station to execute the source code file, containerizes the source code file based on a language used by the selected machine, and commands the selected machine to execute the containerized source code file. The system generates for display results of the executed containerized source code file using the user interface.

Abstract: A door swing control device comprises a bracket affixed to a door, a pivoting element pivotably affixed to the bracket, and a swinging catch mechanism mounted directly or indirectly to the structure. The pivoting element comprises a finger extending therefrom and is engaged with the bracket to limit a range of movement of the pivoting element relative to the bracket. The finger is engageable with the swinging catch mechanism to limit a range of movement of the pivoting element relative to the swinging catch mechanism and thereby selectively limiting a range of movement of the bracket relative to the swinging catch mechanism. When the finger of the pivoting element is engaged with the swinging catch mechanism, the door is held in the first open position. When the finger of the pivoting element is disengaged from the swinging catch mechanism, the door can swing between the first and second open positions.

Abstract: The present disclosure relates to electrical connections between shingled solar cells in a solar cell assembly. More particularly, the present disclosure describes the use of low temperature metallic interconnects that reduce resistivity between solar cells and assembly time. In an aspect, an assembly of shingled solar cells is described that includes a first solar cell having an insulating film on a back side, the insulating film having vias that expose a back metal layer of the first solar cell, and a second solar cell having a bus bar on a front side. In this assembly, the back metal layer of the first solar cell is electrically connected to the bus bar of the second solar cell through multiple electrical connections formed by low temperature solder that fills the vias in the insulating film of the first solar cell. A method of fabricating or manufacturing the assembly is also described.

Abstract: A distributed computing device generates a gradient descent matrix based on data received by the distributed computing device and a model stored on the distributed computing device. The distributed computing device calculates a sampled gradient descent matrix based on the gradient descent matrix and a random matrix. The distributed computing device iteratively executes a process to determine a consensus gradient descent matrix in conjunction with a plurality of additional distributed computing devices connected by a network to the distributed computing device. The consensus gradient descent matrix is based on the sampled gradient descent matrix and a plurality of additional sampled gradient decent matrices calculated by the plurality of additional distributed computing devices. The distributed computing device updates the model stored on the distributed computing device based on the consensus gradient descent matrix.

Abstract: Systems and methods for fully-automated contact-less biometric measurement include receiving a stream of image frames from an internet capable device. Frame data is extracted from the stream of image frames. A predictive load balancer selects a worker server based on a load prediction. An interface delivery server communicates the frame data from the internet capable device to the worker server. A set of patient face images captured by the frame data are extracted. A facial recognition machine learning model determines a patient identity associated with the set of patient face images of the frame data. A shared memory system stores the set of patient face images. The worker server determines biometric measurements based on the set of patient face images in the shared memory system using independent biometric data processing pipelines with shared access to the shared memory system for inter-process communication.