US11984243B2
Permanent magnet materials are provided. The permanent magnet materials are cerium based materials including zirconium and iron in combination with cobalt. The permanent magnet materials may have the formula Ce2ZrFe15−xCox wherein 6≤x≤15. In some embodiments, the permanent magnet materials have the formula Ce2+yZr1−yFe(15−x)(2−z)/2)CoxCu((15−x)z/2) wherein 6≤x≤15, 0≤y≤0.4, and z=0 or 1. In other embodiments, the permanent magnet materials have the formula Ce2Zrx(Fe1−yCoy)17−2x, where 0
US11984236B2
A radiation system includes a beam splitting apparatus configured to split a main radiation beam into a plurality of branch radiation beams and a radiation alteration device arranged to receive an input radiation beam and output a modified radiation beam, wherein the radiation alteration device is configured to provide an output modified radiation beam which has an increased etendue, when compared to the received input radiation beam, wherein the radiation alteration device is arranged such that the input radiation beam which is received by the radiation alteration device is a main radiation beam and the radiation alteration device is configured to provide a modified main radiation beam to the beam splitting apparatus, or wherein the radiation alteration device is arranged such that the input radiation beam which is received by the radiation alteration device is a branch radiation beam output from the beam splitting apparatus.
US11984227B2
Automatically determining a medical recommendation for a patient based on multiple medical images from multiple different medical imaging modalities. In some embodiments, a method may include receiving a first and second medical images of a patient from first and second medical imaging modalities, mapping a first region of interest (ROI) on the first medical image to a second ROI on the second medical image, generating first annotation data related to the first ROI and second annotation data related to the second ROI, generating first medical clinical data related to the first ROI and second medical clinical data related to the second ROI, inputting, into a machine learning classifier, the first and second annotation data and the first and second medical clinical data, and automatically determining, by the machine learning classifier, a medical recommendation for the patient related to a medical condition of the patient.
US11984223B2
Embodiments of the present disclosure enable a user-wearable infusion pump that may have a limited user interface including no display to be paired with a remote control device that can include a remote consumer electronic device such as a smartphone and/or a dedicated remote controller.
US11984217B2
A method for processing one or more histological images captured by a medical imaging device is disclosed. In this method, the histological image is received, and target regions each of which corresponds to a candidate type of tissue are identified based on a predictive model associating one more sample histological images with one or more sample target histological images. One or more display characteristics associated with the identified at least one target histological image is applied to the histological image.
US11984205B2
Systems and methods for storing and accessing healthcare data in blockchain managed digital filing cabinets are disclosed. The system can receive and store patient healthcare data from sources such as wearable devices, an implant, patient devices, healthcare provider devices, databases, cloud storage accounts, healthcare databases, or digital filing cabinets. The system can convert the healthcare into non-fungible tokens on a blockchain to protect the healthcare data from being accessed by nefarious actors. The system can manage access to the healthcare data based on authentication rules.
US11984201B2
Systems, apparatus, instructions, and methods for medical machine time-series event data generation are disclosed. An example synthetic time series data generation apparatus is to generate a synthetic data set including multi-channel time-series data and associated annotation using a first artificial intelligence network model. The example apparatus is to analyze the synthetic data set with respect to a real data set using a second artificial intelligence network model. When the second artificial intelligence network model classifies the synthetic data set as a first classification, the example apparatus is to adjust the first artificial intelligence network model using feedback from the second artificial intelligence network model. When the second artificial intelligence network model classifies the synthetic data set as a second classification, the example apparatus is to output the synthetic data set.
US11984197B2
In various embodiments of an analytics system, a spike-in including synthetic constructs of nucleic acid is added to soil samples for processing. The analytics system determines sequence reads classified to a microbe in the soil sample. The analytics system determines one or more measures of soil texture of the soil sample, for example, indicating percentages of sand, silt, and clay. The analytics system determines a measure of the microbe as a function of at least the classified sequence reads, the one or more measures of soil texture, and a mass of the spike-in. The analytics system can transmit the measure of the microbe to a client device for display on a user interface. A field where the soil sample was obtained can be treated according to the measure of the microbe.
US11984189B2
Memory devices may have internal circuitry that employs voltages higher and/or lower than voltages provided by an external power source. Charge pumps are DC/DC converters that may be used to generate the higher voltages internally. The number of available charge pumps in a memory device may be conservatively dimensioned to be high, in some systems to protect yields. Some of the available charge pumps may be disabled during manufacturing or testing to reduce the number of active charge pumps. The testing process may employ dedicated logic in the memory device and the disabling may employ fuse circuitry.
US11984181B2
The disclosure relates in some aspects to a design for a data storage apparatus with a non-volatile memory that includes a block of memory comprising N wordlines partitioned into a first sub-block comprising a first subset of the N wordlines and a second sub-block comprising a second subset of the N wordlines different than the first subset. In some aspects, the disclosure relates to detecting a failure in a first sub-block. The second sub-block is then marked, in response to a failure detection in the first sub-block, with an initial designation as an unusable sub-block, and a test of the second sub-block is performed to determine a usability of the second sub-block. Based on the test, the second sub-block is then marked with a second designation that is one of a tested usable sub-block or a tested unusable sub-block.
US11984180B2
Implementations described herein relate to enabling or disabling on-die error-correcting code for a memory built-in self-test. A memory device may read one or more bits, associated with a memory built-in self-test, that are stored in a mode register of the memory device. The memory device may identify, based on the one or more bits, whether the memory built-in self-test is to be performed with on-die error-correcting code (ECC) disabled or with on-die ECC enabled. The memory device may perform the memory built-in self-test, and selectively test for one or more single-bit errors, based on identifying whether the memory built-in self-test is to be performed with the on-die ECC disabled or with the on-die ECC enabled.
US11984176B2
Embodiments of the present disclosure provide a method and an apparatus of testing a word line. After repair of a memory array is completed, if a target word line in a failure state exists in the memory array, a second numerical value is written into the target word line, and then it is determined, according to a numerical value outputted by each word line in the memory array, whether there are at least two word lines in an on-state in the memory array; if there are at least two word lines in an on-state simultaneously in the memory array, a current value generated by the target word line in an on-to-off process is detected; when the current value generated by the target word line in the on-to-off process is greater than a preset current threshold, it is determined that the target word line has a repair fault.
US11984166B2
A storage device for generating an identity code and an identity code generating method are disclosed. The storage device includes a first storage circuit, a second storage circuit and a reading circuit. The first storage circuit stores a plurality of first data and the first data have a plurality of bits. The second storage circuit stores a plurality of second data and the second data have a plurality of bits. The reading circuit reads the second data from the second storage circuit to form a first sequence, selects a first portion of the first data according to the first sequence, reads the first portion of the first data from the first storage circuit to form a target sequence and outputs the target sequence to serve as an identity code.
US11984159B2
A nonvolatile memory apparatus may include a memory cell, a bit line control circuit, and a word line control circuit. The memory cell may be coupled between a global bit line and a global word line. During a read operation, the bit line control circuit may provide a first high voltage to the global bit line and provide a second high voltage to the global bit line when snapback of the memory cell occurs. During the read operation, the word line control circuit may provide a second read supply voltage to the global word line and provide an anneal supply voltage to the global word line when snapback of the memory cell occurs.
US11984155B2
Methods, systems, and devices for a differential write operation are described. The operations described herein may be used to alter a portion of a program file from a first state to a second state. For example, a file (e.g., a patch file) that is associated with a signature may be received at a memory device. Based on an authentication process, the file may be used to alter the program file to the second state. In some examples, the program file may be altered to the second state using a buffer of the memory device. A host system may transmit a file that includes the difference between the first state and the second state. A signature may be associated with the file and may be used to authenticate the file.
US11984153B2
A memory device includes at least one memory cell block, a first edge block, a second edge block, multiple first sense amplifiers, and multiple second sense amplifiers. The first edge block is coupled to multiple first word lines, where at least one of the first word lines receives an enabled first word line signal. The second edge block is coupled to multiple second word lines, where at least one of the second word lines receives an enabled second word line signal. The first sense amplifiers are disposed between the first edge block and the memory cell block. The second sense amplifiers are disposed between the second edge block and the memory cell block.
US11984138B1
There is a method for monitoring emotion and behavior occurring during a conversation with a user who is in need of protection. According to an embodiment, a user monitoring method receives an input of a user utterance and generates a conversation content by using a conversation model based on a user utterance content, converts the generated conversation content into a voice and outputs the voice, and recognizes emotion of the user by using an emotion analysis model based on the user utterance content and monitors the emotion. Accordingly, the method may monitor behavior/emotion of a user through a natural conversation while allowing a specialist/guardian to monitor an abnormal sign of a user who is in need of protection.
US11984137B2
A two-way communication support system supports two-way communication between a second terminal device which receives, from a first terminal device, first state data changed according to the state of a first user present on a side where the first terminal device is arranged and which outputs an image and a voice indicated by the first state data and the first terminal device. The two-way communication support system includes a state identifier and an output controller. The state identifier analyzes second state data changed according to the state of a second user present on a side where the second terminal device is arranged so as to identify the state of the second user. The output controller causes the first terminal device to output analysis information indicating a result of the identification of the state of the second user performed by the state identifier.
US11984136B2
An emotion estimation apparatus 1 includes: a generation unit 2 configured to generate acoustic characteristic information indicating an acoustic characteristic using a first acoustic signal output to the ear canal and a second acoustic signal produced by the first acoustic signal echoing inside the body; and an estimation unit 3 configured to estimate emotion using the acoustic characteristic information.
US11984127B2
The disclosure herein describes using a transcript generation model for generating a transcript from a multi-speaker audio stream. Audio data including overlapping speech of a plurality of speakers is obtained and a set of frame embeddings are generated from audio data frames of the obtained audio data using an audio data encoder. A set of words and channel change (CC) symbols are generated from the set of frame embeddings using a transcript generation model. The CC symbols are included between pairs of adjacent words that are spoken by different people at the same time. The set of words and CC symbols are transformed into a plurality of transcript lines, wherein words of the set of words are sorted into transcript lines based on the CC symbols, and a multi-speaker transcript is generated based on the plurality of transcript lines. The inclusion of CC symbols by the model enables efficient, accurate multi-speaker transcription.
US11984125B2
Presented herein are techniques for augmenting a speech recognition engine. According to the disclosed techniques, audio data is obtained as part of an automatic speech recognition session. Speech hints are also obtained as part of the automatic speech recognition session. A dynamic language model is generated from the speech hints for use during the automatic speech recognition session. A combined language model is then generated from the dynamic language model and a static language model. Finally, the audio data is converted to text using the combined language model as part of the automatic speech recognition session.
US11984118B2
Systems and methods for providing an online to offline service in response to a voice request from a user terminal are provided. A method includes: receiving a voice request from a user terminal; in response to the voice request, updating a customized recognition model trained using data of a plurality of points of interest associated with the user terminal; obtaining a general recognition model trained using data from general public; determining a literal destination associated with the voice request based at least on the voice request, the customized recognition model and the general recognition model.
US11984115B2
A dialog system and intelligent personal assistant capable of semantic-understanding mapping between user intents and machine services includes an interface to receive a voice or text request from a user. Semantics of the request including at least one of entities, intent, or context are extracted from the user's request. A sequence of action features is selected based on the extracted semantics. A sequence of application programming interfaces (APIs) corresponding to the sequence of action features is then executed to generate a result. An action sequence optimizer may optimize the sequence of action features based on user configuration. The examples provide a technical solution to model a richer semantic-understanding mapping between user intents and available APIs, that will be greatly improving user experience in the spoken dialogue system, as core of personal assistant.
US11984114B2
Systems and methods are provided for performing speech to intent classification. The systems and methods perform operations comprising: receiving an audio file comprising speech input; processing, by a speech recognition engine, the audio file comprising the speech input to generate an initial character-based representation of the speech input; processing, by an intent classifier, the initial character-based representation of the speech input to generate an estimated intent of the speech input; and generating, by the speech recognition engine, a textual representation of the speech input based on the estimated intent of the speech input.
US11984113B2
Method and server for training an Attention-based Neural Network (ANN) to generate a textual output sequence being a content summary to be used as a response to a query. The ANN has an encoder and a decoder sub-network. The method includes, (i) inputting a query and input sequence into the encoder sub-network where the input sequence is a sequence of input groups associated with corresponding content snippets, (ii) generating an encoded representation of the input sequence, which includes generating attention-type outputs for respective words from the input sequence by applying an attention-limiting mask configured to attend only to words from the given input group, (iii) generating a decoded representation being a predicted textual output sequence, (iv) generating a penalty and (iii) adjusting the ANN based on the penalty score.
US11984111B2
A vehicle includes options including function selection buttons and selection buttons respectively associated with operations of a plurality of functions mounted on the vehicle, and a sound controller is capable of changing a sound output from a speaker array to a sound that arrives from a target virtual sound source set at a predetermined position, and changes the position of the target virtual sound source for each of the options.
US11984110B2
A device operates to perform acoustic echo cancellation. The device includes a speaker to output a far-end signal at the device, a microphone to receive at least a near-end signal and the far-end signal from the speaker to produce a microphone output, and an AI accelerator operative to perform neural network operations according to a first neural network model and a second neural network model to output an echo-suppressed signal. The device further includes a digital signal processing (DSP) unit. The DSP unit is operative to perform adaptive filtering to remove at least a portion of the far-end signal from the microphone output to generate a filtered near-end signal, and perform Fast Fourier Transform (FFT) and inverse FFT (IFFT) to generate input to the first neural network model and the second neural network model, respectively.
US11984101B1
A guitar wall mount having wall hanging units that are movable and detachable includes a fixed base and the wall hanging units. The fixed base includes base rails. The base rails are horizontally assembled in sequence. The wall hanging units are detachably mounted on the base rails, and the wall hanging units are slidable along the base rails. One or more base rails are selected according to requirements. The guitar wall mount is mounted to a wall by tools such as screws, wall anchors, etc. The wall hanging units are able to be combined in various ways to meet placement and hanging requirements of stringed instruments, so the stringed instruments are hung neatly and beautifully. The wall hanging units are detachably mounted on the base rails, so the wall hanging units are able to be mounted independently or mounted together according to needs.
US11984098B2
Embodiments include methods and devices for per layer motion adaptive over-drive strength control for a display panel. Various embodiments may include determining motion information associated with a frame layer, determining an over-drive strength factor for the frame layer based at least in part on the motion information associated with the frame layer, and determining whether the over-drive strength factor is associated with computing a content difference. Various embodiments may include, in response to determining that the over-drive strength factor is associated with computing a content difference, performing fragment shading on the framebuffer object for the frame layer to generate an over-drive compensated framebuffer object for the frame layer based at least in part on the over-drive strength factor, and outputting the over-drive compensated framebuffer object for the frame layer to a default framebuffer for rendering on the display panel.
US11984088B2
A color display, including an electrophoretic medium, wherein the display includes a processor configured to transform image source colors, which are typically standard RGB values, to electrophoretic display device colors, for example ACeP device colors, for displaying the image in the best possible colors on the color display. The processor uses a look up table that depends upon eight primary colors that are produced by the electrophoretic medium.
US11984083B2
A gate driver includes a stage configured to output a gate signal, the stage including an input part configured to control a voltage of a first node and a voltage of a second node based on signals supplied to a first input terminal and a second input terminal, an output part configured to supply a voltage of a first power source or a voltage of a second power source as the gate signal to an output terminal based on a voltage of a third node and a voltage of a fourth node, a first signal processing part configured to supply the voltage of the second power source to the fourth node based on the voltage of the first node, or to electrically connect the second node and the fourth node through a fifth node based on a signal supplied to a third input terminal, and a second signal processing part including a first transistor connected between the third node and a sixth node to control the voltage of the third node based on an operation of the first transistor.
US11984082B2
A display device includes a display panel including, a driving transistor configured to generate driving current, a light emitting element configured to emit light based on the driving current and an initialization transistor configured to apply an initialization voltage to an output electrode of the driving transistor, a sensing driver configured to generate sensing data by receiving the driving current of the pixels through initialization transistors and a driving controller configured to generate accumulated image data by accumulating input image data for frames and to compensate for the input image data based on the accumulated image data and the sensing data.
US11984077B2
A pixel circuit comprises a light emission element; a driving transistor including a first electrode connected to the first node, a second electrode connected to a second node, and a gate electrode connected to a third node; a first transistor including a first electrode receiving a third voltage, a second electrode connected to the first node, and a gate electrode receiving a second light emission control signal; a first transistor including a first electrode connected to a first line transferring a first power voltage, a second electrode connected to the second node, and a gate electrode receiving a first light emission control signal; a first storage capacitor connected between the third node and a fourth node; and a switching transistor including a first electrode connected to a data line, a second electrode connected to the fourth node, and a gate electrode receiving a scan signal.
US11984075B2
A system reads a desired circuit parameter from a pixel circuit that includes a light emitting device, a drive device to provide a programmable drive current to the light emitting device, a programming input, and a storage device to store a programming signal. One embodiment of the extraction system turns off the drive device and supplies a predetermined voltage from an external source to the light emitting device, discharges the light emitting device until the light emitting device turns off, and then reads the voltage on the light emitting device while that device is turned off. The voltages on the light emitting devices in a plurality of pixel circuits may be read via the same external line, at different times. In-pixel, charge-based compensation schemes are also discussed, which can be used with the external parameter extraction implementations.
US11984073B2
A partitioned display structure includes a plurality of direct current (DC) voltage electrodes, each of the DC voltage electrodes is connected to a plurality of light-emitting units; a plurality of input voltage sources, the input voltage sources are connected to the DC voltage electrodes in a one-to-one manner, and are configured to transmit input signals to the plurality of light-emitting units for emitting light for displaying images; and a plurality of switches. Each of the switches is connected between two adjacent DC voltage electrodes to control a connection between the two adjacent DC voltage electrodes, the plurality of DC voltage electrodes are connected with each other in response to the plurality of switches in a turned-on state, and the plurality of DC voltage electrodes are insulated from each other in response to the plurality of switches in a turned-off state.
US11984072B2
A display substrate (100) and a design method therefor, and a display apparatus. The display substrate (100) includes: pixel circuits which are arranged in an array, where the pixel circuits are divided into at least two areas; and data switching circuits (10), which are correspondingly connected to the pixel circuits in the areas by means of data signal lines, wherein a channel width-to-length ratio (W/L) of a switch device in each data switching circuit (10) is positively correlated with a design data load of an area corresponding to the data switching circuit (10). The width-to-length ratios (W/L) of different switch devices can be matched according to different design data loads of different areas.
US11984066B2
A processing method and a processing device for pixel data, a display device, a display method, and a storage medium are provided. The processing method includes: determining a target pixel point in pixel points of a display frame image to be revised, a pixel data of each pixel point including S initial pixel data of different primary colors and a white initial pixel data; converting a white initial pixel data in a pixel data of the target pixel point into S equivalent pixel data of the different primary colors; obtaining S target pixel data of the different primary colors and a white target pixel data of the target pixel point according to the S equivalent pixel data and according to S initial pixel data of the different primary colors in the pixel data of the target pixel point, the white target pixel data corresponding to a 0 gray scale.
US11984055B2
Systems and methods for a multi-primary color system for display. A multi-primary color system increases the number of primary colors available in a color system and color system equipment. Increasing the number of primary colors reduces metameric errors from viewer to viewer. One embodiment of the multi-primary color system includes Red, Green, Blue, Cyan, Yellow, and Magenta primaries. The systems of the present invention maintain compatibility with existing color systems and equipment and provide systems for backwards compatibility with older color systems.
US11984048B2
A system for interactive visual education includes: a server configured to educate a user; a network operably connected to the server; an external device usable by the user, the external device further configured to communicate with the server using the network, the external device further configured to receive input from the user, the external device further configured to upload the input to the server via the network; an interactive visual education page viewable by the user using the external device, the interactive visual education page comprising a visual teaching section configured to teach the user a lesson, the interactive visual education page further comprising an interactive tools page, the interactive tools page comprising an interactive tool usable with the external device to interactively support the user in applying the lesson; and storage configured to store data, the storage operably connected to the server over the network.
US11984041B1
A system and method for teaching arithmetic has a plurality of training aides or manipulatives wherein a child/student learns arithmetic facts by executing the method using the system. The physical training aids may include a die (10,12), a factor card (14) and a factor finder member (16). The physical training aids are used with the child where the child creates a multiplication product by rolls of the die (10,12) wherein the child uses the factor card (14) and the factor finder member (16) to identify factor numbers associated with the multiplication product. A game may be incorporated where the child can use the system and method in playing the game.
US11984036B2
Methods, apparatuses, and computer program products are disclosed for determining a holding pattern. An example method includes receiving an estimated time of clearance and holding pattern instructions for an aircraft chartered for holding, receiving flight information and aircraft state information associated with the aircraft, deriving a holding time estimate from the estimated time of clearance, the flight information and aircraft state information, and computing holding pattern parameters placing the aircraft on a holding inbound segment prior to the estimated time of clearance based at least in part on the holding time estimate. The method further includes transmitting the holding pattern parameters to a computing device.
US11984031B2
Disclosed are a parking control apparatus for a vehicle and a method thereof. The parking control apparatus includes a processor that searches for at least one parking space in a parking control of a vehicle, calculates an estimated route and a required parking time for each of the at least one parking space, and performs parking control into a target parking space which is one parking space selected from the at least one parking space by a user, and a display that displays the estimated route and the required parking time for each of the at least one parking space.
US11984024B2
A parking meter detects an object in proximity, based on a change in a proximity measurement at the meter, activates a directional sensor in response to detecting the object, receives sensor data at a meter processor from the directional sensor, wherein the received sensor data indicates a predetermined direction to the detected object relative to the meter. The parking meter determines a presence of the object, or lack thereof, in the predetermined direction based on the sensor data, and upon a positive determination of the presence of the object, stores an indication of the presence of the object along with a time of the positive determination.
US11984019B2
An apparatus, system, and method of remotely monitoring receives, from an operation terminal, identification information and location information of a location of one or more lamps, stores, in a memory, the received identification information and the received location information in association with each other for the one or more lamps, updates log information regarding a log of a lighting condition of the one or more lamps, in response to an indication that an electric circuit of the one or more lamps is energized for the one or more lamps, and sends monitoring information corresponding to the log information of the electric circuit of the one or more lamps for display.
US11984017B2
A method, system, and apparatus for programming a sensor at a customer location is disclosed. A defective sensor at a customer location is replaced by a new sensor that is programmed at the customer location using a programming device or a transducer coupled to a computing device. The new sensor is programming using the sensor's detector normally used to sense a change in a magnetic field, an RF signal, infra-red light, or some other emission or property.
US11984016B2
Devices, systems, and methods for providing predictive analytics of fire systems are described herein. One fire system maintenance system, includes fire system detectors, a fire system control panel, and a gateway device positioned within the facility and in communication with at least one of the fire system control panel or fire system detectors, the gateway having instructions to: collect fire system device health data associated with one or more fire or smoke detector devices and to send this fire system device health data to a remote device; the remote device having instructions to: analyze the collected fire system device health data to predict if the data contains any anomalies or deviations from an expected behavior; and a fire system maintenance solution application that identifies a nearest scheduled maintenance visit and associates a service item with the scheduled maintenance visit.
US11984012B2
A tracking system determines if a tracking device is located within a safe zone based on whether a set of safe conditions are satisfied. The set of safe conditions includes a geographic boundary or a geographic location and corresponding threshold distance. The set of safe conditions can also include a time window during which a safe zone is active. When a tracking device is within a safe zone (e.g., geographically and temporally), the tracking device is determined to be safe, and notifications associated with the tracking device can be minimized. The safe zones may be user-selected, user-defined, or determined based on data analytics. If a set of safe conditions are not satisfied, the tracking system generates and sends a notification to the user of the tracking device indicating that the tracking device may be lost.
US11984009B2
Proposed are concepts for distinguishing between fall events and non-fall-events for different sub-groups within a monitored group (i.e., monitored population) of subjects. It is proposed that an entire/group population of monitored subjects may be portioned into sub-groups, each sub-group consisting of a plurality of members (i.e., subjects) having a certain property value or characteristic unique to that group. A respective decision value may be determine for each sub-group, wherein the decision value for a sub-group takes account of a previously obtained false fall detection rate for that sub-group.
US11984007B2
In one implementation, a method for using a mobile computing device as a security system component includes receiving, from a mobile device and by a security system gateway, mobile device sensor information associated with sensor data captured by the mobile device at a premises monitored by the security system gateway; identifying, based on the received sensor information, a mobile device sensor information rule; identifying an action to perform in the mobile device sensor information rule; and automatically performing the identified action, by the security system gateway, in response to receiving the sensor information from the mobile device.
US11984001B2
One embodiment provides a method, including: identifying, using a tamper detection switch of an information handling device, a tampering event; determining, using a processor, contextual data associated with the tampering event; constructing, based on the determining, a signal comprising the contextual data; and broadcasting, using a radio transmission beacon, the signal. Other aspects are described and claimed.
US11983994B2
An electronic gaming device includes a display device and a processor configured to execute instructions stored in a memory device. When executed, the instructions cause the processor to at least initiate a primary bonus game in response to a free play trigger condition being satisfied during a base game and determine a number of free spins of a plurality of reels for use during the primary bonus game. The instructions further cause the processor to control the display device to simulate spinning and stopping the plurality of reels in conjunction with sequentially counting up from an initial numerical indicium to a final numerical indicium in association with spinning the plurality of reels according to the determined number of free spins and initiate a secondary bonus game that includes a free spin count-down from the final numerical indicium to the initial numerical indicium.
US11983988B2
This invention is an engine that allows, for any play in an “in play” or single play betting game, that both calculates “basic odds” (calculated by using historical database mining) and at least one more odds making formula to calculate odds on at least one outcome of a single play in a live event, crossing at least two different odds making formulas to create crossed odds. Then utilizes artificial intelligence to correlate the crossed odds with the final odds on similar historical plays in which odds were calculated. Then utilizes machine learning after the outcome of the play is known to correlate the odds generated by each odds making formula with the most profitable odds calculated on previous similar plays.
US11983980B2
Gaming devices, gaming systems, gaming device display systems and methods for providing enhanced lighting features in gaming devices and systems are provided. In one example, a front or player-facing flexible LED light strip is positioned to follow a curved contour portion of a video display device. A diffuser may be positioned to cover the flexible LED light strip. The flexible LED light strip may be positioned on a display frame attached to the video display device and the display frame may include a curved contour portion that conforms to the curved contour portion of the display device.
US11983977B2
An access control system for electric vehicle charging is provided that includes an access device, a secure reservation interface, a reservation server and a smartphone application installed on the smartphone. The access device includes a short-range wireless communication module connected to a processor having control of an electric vehicle charger. The secure reservation interface receives a reservation request for a reservation at a given destination. The reservation server receives the reservation request for the destination, issues a reservation certificate, and transmits the reservation certificate from the reservation server to a smartphone. The smartphone application has access to a short range wireless communication setting corresponding to the access device. The access device receives the reservation certificate from the smartphone application based on use by the smartphone application of the short-range wireless communication setting. The processor activates the electric vehicle charger based on at least the receipt of the reservation certificate.
US11983976B2
An access control system for electric vehicle charging is provided that includes an access device, a secure reservation interface, a reservation server and a smartphone application installed on the smartphone. The access device includes a short-range wireless communication module connected to a processor having control of an electric vehicle charger. The secure reservation interface receives a reservation request for a reservation at a given destination. The reservation server receives the reservation request for the destination, issues a reservation certificate, and transmits the reservation certificate from the reservation server to a smartphone. The smartphone application has access to a short range wireless communication setting corresponding to the access device. The access device receives the reservation certificate from the smartphone application based on use by the smartphone application of the short-range wireless communication setting. The processor activates the electric vehicle charger based on at least the receipt of the reservation certificate.
US11983965B2
An electronic device includes at least one processor connected with a biometric sensor and memory, and configured to perform biometric authentication using a first matching algorithm and a first template DB, install a second matching algorithm and a second template DB and set the second template DB to an inactive state, determine whether a predetermined template registration condition is met when biometric authentication using the first matching algorithm and the first template DB is successful, generate a template including input biometric information of the successful biometric authentication and register the template in the second template DB in the inactive state in case that the template registration condition is met, set the second template DB to an active state in case that the second template DB meets a predetermined template activation condition, and perform the biometric authentication using the second matching algorithm and the second template DB in the active state.
US11983963B2
Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for visual authentication. In some implementations, a method may include obtaining images of a person at a property; detecting a discontinuity in an appearance of the person in the images of the person at the property; determining that the discontinuity does not correspond to a known occlusion; and providing an indication of a potential spoofing attack.
US11983961B2
Iris image pick-up devices perform image pick-up of an iris of a moving subject. A guiding device guides the subject. A controller predicts a period in which the subject will blink next. Further, the controller predicts a period in which the subject will pass through the focusing point of the iris image pick-up devices. The controller controls the guiding device such that the subject does not blink at the focusing point in the case where the period in which the subject will blink next overlaps with the period in which the subject will pass through the focusing point.
US11983957B2
Various techniques employ digital fingerprints, alone or in conjunction with other data related to a physical object, to characterize the physical object in a way allows an identity of the physical object to be confirmed or authenticated within a threshold of confidence when the physical object is encountered at a subsequently after a digital fingerprint thereof was previously ingested, without capture, retention and/or reference to certain types or categories of characterizing information which may be of a sensitive nature and/or subject to misuse or abuse. Such digital fingerprints may include feature vectors and non-positional characterization values, while advantageously omitting positional information that would otherwise allow recreation of a recognizable image of the physical object or an image from which one or more immutable characteristics or traits (e.g., physical appearance, color, race, ethnicity, gender, age) of the physical object may be discerned, and hence denominated as irreversible digital fingerprints.
US11983951B2
A human detection device configured to analyze a fisheye image obtained by a fisheye camera installed above a to-be-detected area to detect a person existing in the to-be-detected area includes a head detector configured to detect at least one head candidate from the fisheye image by using an algorithm for detecting a human head, a human body detector configured to detect at least one human body candidate from the fisheye image by using an algorithm for detecting a human body, and a determining unit configured to determine, as a person, a pair satisfying a prescribed condition among pairs of the head candidate and the human body candidate formed of a combination of a detection result from the head detector and a detection result from the human body detector.
US11983948B2
A machine translation of a document is created via a compilation of services by mapping textual content from an image to create a plurality of mapped locations correspondent to at least one object from the image, populating each of the mapped locations with at least one character indicative of the object, each character sharing at least one similar attribute, adding to the image the populated mapped locations, and highlighting at least a portion of the textual content in accordance with the populated at least one character. A compilation of services is provided for identifying, extracting, and assessing electronic images by using a layered approach that reduces time and improves reviewing of medical records and other kinds of documentation.
US11983947B2
Systems and methods for generating document content using data analysis. For example, a system may store data representing one or more documents, where a document is associated with a type of user and fields. The system may send the data representing the document to an electronic device. Additionally, the system may receive, from the electronic device, data representing information input into the document. Using the information, the system may select various fields for the document and send, to the electronic device, data representing the fields. Furthermore, the system may analyze the information to determine a score associated with the document. If the score does not satisfy a threshold score, the system may continue to select fields using the information and send, to the electronic device, data representing the fields. However, if the score satisfies the threshold score, the system may determine that the document is complete.
US11983944B2
Computer-implemented methods for detecting objects within digital image data based on color transitions include: receiving or capturing a digital image depicting an object; sampling color information from a first plurality of pixels of the digital image, wherein each of the first plurality of pixels is located in a background region of the digital image; assigning each pixel a label of either foreground or background using an adaptive label learning process; binarizing the digital image based on the labels assigned to each pixel; detecting contour(s) within the binarized digital image; and defining edge(s) of the object based on the detected contour(s). Corresponding systems and computer program products configured to perform the inventive methods are also described.
US11983940B2
An autonomous vehicle that moves automatically without any driver's manipulation. The autonomous vehicle includes a vehicle body including a deck, and an action-inducing device for inducing an action of a person who is a user of the autonomous vehicle or a non-user around the autonomous vehicle. The action-inducing device including an image-capturing device for capturing the person, and an information presentation device for presenting action-inducing information, to thereby induce the person to take the action.
US11983939B2
The present invention extends to methods, systems, and computer program products for changing vehicle configuration based on vehicle storage compartment contents. At an autonomous vehicle, a camera is mounted inside a storage compartment. The camera monitors the interior of the storage compartment. The camera can confirm that the storage compartment is empty when it is supposed to be empty and contains an object when it is supposed to contain an object. Any discrepancies can be reported to a human operator. The human operator can instruct the autonomous vehicle to change configuration to address discrepancies. In one aspect, a machine-learning camera memorizes a background pattern permeated to a surface of the storage compartment. The machine-learning camera detects objects in the storage compartment based on disturbances to the background pattern.
US11983930B2
A prediction device f includes an acquisition unit and a prediction unit. The acquisition unit is configured to acquire attribute data pertaining to the plurality of exhibits and the number of visitors to each of the plurality of exhibits during a first period in the display area in which the plurality of exhibition articles are exhibited. The prediction unit is configured to predict a future flow of persons to the plurality of exhibits by a prediction model. The prediction model is generated using attribute data for a second period that is a period previous to the first period, graph time-series data pertaining to a change over time in a movement pattern for each of the plurality of visitors to the plurality of exhibits during the second period, the number of visitors to the exhibits, and the number of visitors to each of the plurality of exhibits.
US11983919B2
The disclosure relates to a video anomaly detection method based on human-machine cooperation, in which video frames and traditional descriptors of optical stream of an image are utilized as an input for auto-encoder neural network coding, and converted into a representation content of a hidden layer, and then the representation content of the hidden layer is decoded, reconstructed and output. The auto-encoder network is trained with normal samples. In a test stage, if an input is a normal sample, a final reconstructed error keeps high similarity with an input sample; on the contrary, if the input is an abnormal sample, the final reconstructed error deviates greatly from the input sample.
US11983915B2
A system for generating one or more images for display, the system comprising an image obtaining unit operable to obtain an image of a user's face, a geometry information unit operable to identify geometry information for the user's face using the obtained image, a lighting information unit operable to obtain lighting information for a virtual environment, a representation generation unit operable to generate a representation of the user's face generated using the obtained lighting information, and an image output unit operable to generate an output image comprising the generated representation and an image of the virtual environment.
US11983907B2
A method of point cloud attribute coding is performed by at least one processor and includes receiving a point cloud data set comprising a bounding box. A determination is made as to whether the bounding box is symmetric or asymmetric. A quad-tree-binary-tree (QtBt) decomposition is performed on the point cloud data set based on the bounding box being asymmetric.
US11983905B2
A method for level partition of a point cloud includes: decoding a point cloud bitstream, the point cloud bitstream including geometry information and attribute information of the point cloud; determining a maximum permissible value of a first syntax element in the point cloud bitstream; parsing the point cloud bitstream to determine a value of the first syntax element according to the maximum permissible value; determining, according to the value of the first syntax element, a number of levels of detail (LODs) in a process of decoding the attribute information; and decoding the attribute information according to the number of the LODs and the geometry information, to determine a reconstructed point cloud of the point cloud.
US11983903B2
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing images using self-attention based neural networks. One of the methods includes obtaining one or more images comprising a plurality of pixels; determining, for each image of the one or more images, a plurality of image patches of the image, wherein each image patch comprises a different subset of the pixels of the image; processing, for each image of the one or more images, the corresponding plurality of image patches to generate an input sequence comprising a respective input element at each of a plurality of input positions, wherein a plurality of the input elements correspond to respective different image patches; and processing the input sequences using a neural network to generate a network output that characterizes the one or more images, wherein the neural network comprises one or more self-attention neural network layers.
US11983893B2
Systems and methods for hybrid depth regularization in accordance with various embodiments of the invention are disclosed. In one embodiment of the invention, a depth sensing system comprises a plurality of cameras; a processor; and a memory containing an image processing application. The image processing application may direct the processor to obtain image data for a plurality of images from multiple viewpoints, the image data comprising a reference image and at least one alternate view image; generate a raw depth map using a first depth estimation process, and a confidence map; and generate a regularized depth map. The regularized depth map may be generated by computing a secondary depth map using a second different depth estimation process; and computing a composite depth map by selecting depth estimates from the raw depth map and the secondary depth map based on the confidence map.
US11983886B2
A system for performing background and floor replacement in full-length subject images is described. A set of three or more images of a subject can be captured under different illumination conditions. For example, at least one of the images is captured while a foot portion of the subject and surrounding floor, including a floor mat on which the subject is positioned, are illuminated by a floor lighting device. The floor mat has a Lambertian surface to reflect light in a particular manner such that a maximum contrast between the floor and the subject is captured in the image. Varying contrast between the background, floor, and subject among the images of the set can be leveraged by an image processing system to generate a background mask and a floor mask that are combined and seamlessly transitioned to yield a compiled mask for use in background and floor replacement.
US11983885B2
The invention discloses a multi-threshold segmentation method for medical images based on an improved salp swarm algorithm. A two-dimensional histogram is established by means of a grayscale image of a medical image and a non-local mean image, then a salp swarm algorithm is used to determine thresholds selected by a Kapur entropy-based threshold method, and the salp swarm algorithm is improved and mutated by an individual-linked mutation strategy during the threshold selection process to avoid local optimization, so that the segmentation effect on the medical image is optimized; and the method has the advantages of good robustness and high accuracy.
US11983871B2
The invention relates to a processing system and corresponding method for processing image data and for indexing regions of interest in an object of interest. The system comprises a registration unit for registering the image data, a sub-volume generator generating sub-volumes from the image data, a composite image generator for generating multiple sets of composite images from each sub-volume, each set of composite images representing a different projection. The system comprises an indexing unit for generating indexed regions of interest in each sub-volume by assessing each of the set of composite images in parallel and a combining unit for combining each set of composite images of each sub-volume into a scan level prioritization.
US11983864B2
An object matching device includes an acquiring unit, an extracting unit, and a determining unit. The acquiring unit acquires an image of an object to be matched with a character printed thereon. The extracting unit extracts a partial image of predetermined size including the character as a matching partial image from the image. The determining unit compares the matching partial image with a registration partial image acquired from an object to be registered and registered in advance, and thereby determines an identity of the object to be matched and the object to be registered.
US11983863B2
An alpha channel is added in addition to multiple channels forming an image of an item. A second pixel value differing from a first pixel value, which is assigned to a defect-free region, is assigned to a region corresponding to a defect region in the alpha channel. The image including the alpha channel is divided into multiple image segments. A defect label is assigned to the image segment in which the second pixel value is included in the alpha channel, and a non-defect label is assigned to the image segment, in which the second pixel value is not included in the alpha channel. The alpha channel is removed from the image segments to generate labeled image segment data.
US11983854B2
A plurality of pixel-based sampling points are identified within an image, wherein sampling points of a pixel are distributed within the pixel. For individual sampling points of individual pixels, a corresponding radiance vector is estimated. A radiance vector includes one or more radiance values characterizing light received at a sampling point. A first machine learning module generates, for each pixel, a corresponding intermediate radiance feature vector, based on the radiance vectors associated with the sampling points within that pixel. A second machine learning module generates, for each pixel, a corresponding final radiance feature vector, based on an intermediate radiance feature vector for that pixel, and one or more other intermediate radiance feature vectors for one or more other pixels neighboring that pixel. One or more kernels are generated, based on the final radiance feature vectors, and applied to corresponding pixels of the image, to generate a lower noise image.
US11983852B2
An image processing method includes: determining a brightness value of an image; and enhancing a brightness of the image when the brightness value of the image is less than an image brightness threshold. Enhancing the brightness of the image includes: determining each pixel of the image as a target pixel; determining a brightness enhancement value of the target pixel based on the brightness value of the image, an initial brightness value of the target pixel, and initial brightness values of neighboring pixels of the target pixel; and using the brightness enhancement value as an enhanced brightness value of the target pixel.
US11983851B2
A method for using a trained generative adversarial network to improve underwriting, claim handling and retail operations includes receiving a 3D point cloud; and generating a gap-filled semantically-segmented 3D point cloud using a trained generative adversarial network. A computing system for using a trained generative adversarial network to improve vehicle orientation and navigation includes one or more processors, and one or more memories having stored thereon computer-executable instructions that, when executed, cause the computing system to: receive a 3D point cloud; and generate a gap-filled semantically-segmented 3D point cloud using the trained generative adversarial network. A non-transitory computer-readable medium having stored thereon computer-executable instructions that, when executed, cause a computer to: receive a 3D point cloud; and generate a gap-filled semantically-segmented 3D point cloud using a trained generative adversarial network.
US11983845B1
Methods and systems for representing a tissue segmentation from a source digital image computationally generate, from a source digital image of an anatomic region, a digital tissue segmentation visually indicating regions of interest corresponding to an abnormal condition associated with at least portions of the anatomic region. The source image and the tissue segmentation may be alternately displayed in registration on a mobile device at a gesturally selected magnification level.
US11983840B2
A method for adding a map element is provided. In the method, a name of a layer to which a map element to be added by a target application program belongs, display follow information of the map element in the layer, and weather impact information of the map element are generated. A preform of the map element is generated in a target folder. Further, code configured to update the map element. The code indicates a storage position of the preform of the map element and display state information of the map element being displayed in the layer. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.
US11983832B2
In an example implementation, a method of compensating for dimensional variation in 3D printing includes receiving a voxel space model that represents a 3D object to be printed within a build volume of a 3D printing system, asymmetrically eroding voxels from the voxel space model, and printing the 3D object based on the asymmetrically eroded voxel space model.
US11983831B1
Disclosed is a location tracking system and associated methods for precisely locating a target device with a recipient device via different forms of location tracking and augmented reality. The recipient device receives a first position of the target device over a data network. The recipient device is moved according to the first position until the target device is in Ultra-WideBand (“UWB”) signaling range of the recipient device. The recipient device then measures a distance and direction of the target device relative to the recipient device based on Time-of-Flight (“ToF”) measurements generated from the UWB signaling. The recipient device determines a second position of the target device based on the distance and direction of the target device, and generates an augmented reality view with a visual reference at a particular position in images of a captured scene that corresponds to the second position of the target device.
US11983827B2
A computer-implemented method includes obtaining an image of an area of a property from an augmented reality device, identifying the area of the property based on the image obtained from the augmented reality device, determining that the area of the property corresponds to an event at the property or a configuration of a monitoring system of the property, and providing, in response to determining that the area of the property corresponds to the event or the configuration, information that represents the event or the configuration and that is configured to be displayed on the augmented reality device.
US11983823B2
Examples of wearable systems and methods can use multiple inputs (e.g., gesture, head pose, eye gaze, voice, totem, and/or environmental factors (e.g., location)) to determine a command that should be executed and objects in the three-dimensional (3D) environment that should be operated on. The wearable system can detect when different inputs converge together, such as when a user seeks to select a virtual object using multiple inputs such as eye gaze, head pose, hand gesture, and totem input. Upon detecting an input convergence, the wearable system can perform a transmodal filtering scheme that leverages the converged inputs to assist in properly interpreting what command the user is providing or what object the user is targeting.
US11983813B2
Methods and systems are disclosed that automatically determine solar access values. In one implementation, a 3D geo-referenced model of a structure is retrieved in which geographic location on the earth of points in the 3D geo-referenced model are stored or associated with points in the 3D geo-referenced model. Object point cloud data indicative of object(s) that cast shade on the structure is retrieved. The object point cloud data may be generated from one or more georeferenced images and the object point cloud data is indicative of an actual size, shape, and location of the object(s) on the earth. The structure in the 3D geo-referenced model is divided into one or more sections, which are divided into one or more areas, each area having at least three vertices. Then, a solar access value for the particular vertex is determined.
US11983805B1
Embodiments described herein provide a process and method running on a computer for creating an augmented image. According to an embodiment, a graphical user interface gathers data that is programmatically analyzed to obtain photographic properties from a first image. Photographic properties are provided to a user for obtaining a second image containing a fiducial mark. The second image is programmatically analyzed to obtain photographic properties. The first image and the second image are programmatically analyzed and processed to produce an augmented image.
US11983804B1
Described herein is a computer implemented method for generating a new chart based on a source chart and a destination chart. The method includes accessing source chart data in respect of the source chart, wherein the source chart data defines a set of source chart data series and a set of source chart colours, and wherein each source chart data series is associated with a source chart colour and accessing destination chart data in respect of the destination chart, wherein the destination chart data defines a set of destination chart data series and a set of destination chart colours, and wherein each destination chart data series is associated with a destination chart colour. The method further includes determining that the number of source chart colours is less than the number of destination chart colours and, in response, generating one or more new chart colours. The method further includes generating the new chart to include the set of source chart data series, associating a first source chart data series with a destination chart colour and associating a second source chart data series with a new chart colour.
US11983803B2
The present invention relates to a method for representing objects of a network in a GUI with a graph clustering comprising retrieving a base graph comprising all of the objects of the network as respective nodes and links between said nodes, grouping two or more of the nodes in one or more clusters, initializing the clusters by calculating the cluster mass and the cluster radius of each of the clusters, assessing the clusters defining a visualization graph which represents the base graph as seen from a predefined distance value and positioning the visualization graph in the GUI, wherein the assessing comprises creating an empty visualization graph, calculating for each of the clusters the distance ratio as ratio between the cluster radius and the predefined distance value, evaluating the distance ratio with regard to a predefined distance ratio threshold, compressing the cluster when the distance ratio is higher than the predefined distance ratio threshold, adding in the visualization graph a single compressed cluster node for all child nodes and all child clusters arranged inside the cluster to be compressed, expanding the cluster when the distance ratio is lower than the predefined distance ratio threshold, adding in the visualization graph a plurality of nodes for all child nodes and all child clusters arranged inside the cluster to be expanded and adding in the visualization graph a link between the cluster and the node outside the cluster if the link was present between a node inside the cluster and the node outside the cluster in the base graph and a link between two of the clusters if the link was present between a node inside one of the clusters and a node inside the other of the clusters in the base graph, wherein every time a link needs to be added between the same of the cluster and of the node outside the cluster a count of a link strength is increased of an integer unit and wherein every time a link needs to be added between the same of two of the clusters a count of a link strength is increased of an integer unit.
US11983800B2
The invention provides for a medical instrument comprising a memory storing machine executable instructions and an image transformation neural network trained for transforming an optical image of a subject into an output image. The output image comprises a pseudo radiographic image. The pseudo radiographic image is aligned with the optical image. The medical instrument further comprises a processor configured to control the medical imaging system. Execution of the machine executable instructions causes the processor to: receive the optical image of the subject and generate the output image by inputting the optical image into the image transformation neural network.
US11983798B2
Systems/techniques that facilitate AI-based region-of-interest masks for improved data reconstructions are provided. In various embodiments, a system can access a set of two-dimensional medical scan projections. In various aspects, the system can generate a set of two-dimensional region-of-interest masks respectively corresponding to the set of two-dimensional medical scan projections. In various instances, the system can generate a region-of-interest visualization based on the set of two-dimensional region-of-interest masks and the set of two-dimensional medical scan projections. In various cases, the system can generate the set of two-dimensional region-of-interest masks by executing a machine learning segmentation model on the set of two-dimensional medical scan projections.
US11983789B1
A generation method of zero watermarking for trajectory data, a detection method of zero watermarking for trajectory data, a generation device of zero watermarking for trajectory data, a detection device of zero watermarking for trajectory data, and a storage medium are provided. The generation method divides a trajectory based on a coordinate system constructed by trajectory feature points of trajectory data into blocks, and then the moment invariants of trajectory in each block are used to construct a watermark sequence, which can achieve copyright protection without modifying the trajectory data. In addition, since the generation method uses moment invariants which can represent overall features of the trajectory to construct the watermark sequence, the generation method has strong stability in the face of common attacks and can resist almost all common types of attacks.
US11983781B2
Provided is a method of ordering a consumer-customized cake using a cake ordering system, including transmitting, to a management server, a cake image selected among a plurality of displayed cake images, transmitting, to the management server, a cake image selected among a plurality of displayed cake images, receiving, from the management server, a cake model matched with the selected cake image and a decoration model matched with the selected cake image and displaying the cake model and the decoration model, placing the decoration model on the cake model in response to selection for a movement of the decoration model and transmitting, to the management server, location information of the decoration model on the cake model, receiving, from the management server, a decoration cake model which is a composite model of the cake model and the decoration model based on the location information of the decoration model on the cake model, and receiving delivery information to which a cake on which decorations have been shaped by a food printer that receives food printer model data for the decoration model is to be reached, and transmitting the delivery information to the management server.
US11983771B2
A decision tree based processing system implements a decision tree data structure to process publicly available files, such as websites suspected to contain data generated by a data transaction processing system which may be constantly fluctuating and varying. The data transaction processing system generates the data based on processing electronic data transaction request messages received over a network.
US11983769B2
When a consumer checkouts out, the transaction interface presents a buy now pay later option selected by the consumer for payment of a transaction. Consumer information is collected through the interface and a registered financial institution (FI) is presented the transaction details and information for servicing a loan. Terms are provided from the FI and presented to the consumer through the interface. Acceptance by the consumer causes a smart contract with the terms and parties of the loan to be generated in a blockchain (BC) and payment processed by the BC by transferring funds from a FI wallet to a retailer wallet associated with the transaction.
US11983765B2
Distributed energy trading settlement is provided. The method comprises polling a number of Internet-of-Things (IoT) devices for energy consumption and production data for a specified preceding time interval and receiving weather data from a weather application programming interface (API) for the same time interval. A number of bids and offers are received from a central modelling solution within a specified trading window, based on the data from the IoT devices and weather API. Orders are then created from the bids and offers. At least a subset of the orders are matched to create a number of matched trades, which are published to a message queue. The published matched trades are committed as transactions in a blockchain, and tokens are transferred between user wallets according to the transactions in the blockchain.
US11983764B2
A bicycle locking assembly includes a bicycle rack is secured to a support surface and a plurality of parking elements each is integrated into the bicycle rack to have a respective bicycle parked in the parking elements. A plurality of bicycle locks is each movably integrated into the bicycle rack for locking a respective bicycle to a respective parking element. A card reader is coupled to the bicycle rack for processing a payment to facilitate a user to lock their bicycle to the bicycle rack. A camera is integrated into the bicycle rack to record footage of the bicycle rack thereby monitoring bicycles that are locked to the bicycle rack. A light emitter is coupled to the bicycle rack to emit light outwardly from the bicycle rack for enhancing visibility of the bicycle rack at night.
US11983763B1
Generation of dynamic electronic representations using modeling is described. Interaction data comprising attributes of one or more interactions between a user and the service provider or one or more third-party services integrated with the service provider is received. A model is executed to dynamically generate an electronic representation for a user profile based upon the interaction data, wherein the model is trained using attributes associated with a set of existing user profiles associated with the service provider and corresponding interaction data indicative of interaction data of the set of existing user profiles, and wherein the electronic representation is generated without input from the user. The electronic representation can be presented on an electronic device.
US11983760B2
A media enhanced shopping cart system comprises a shopping cart, a locationing component, and a display component for displaying at least one advertisement for a product based on the location of the shopping cart within the store, wherein the locationing component is further operable to determine a location of the product within the store relative to the shopping cart, and wherein the display component is further operable to display an indication of the location of the advertised product relative to the location of the shopping cart.
US11983759B2
Disclosed is a method including receiving at a user device a scan of a code, initiating on the device, based on the code, a communication with a server, receiving, based on the communication and from the server, a download of a user interface, the download being independent of a full application stored on the user device, transmitting, via the software module, an identification, received from the user, of a function to perform in connection with the code, transmitting location data associated with the user device to the server and transmitting authorized data to the server based on data retrieved from either the user device or a network entity. The user can scan product codes or rental codes in the store or on a device like a scooter and receive the interactive interface for performing a function. The process eliminates the need for point of sale equipment and eliminates checkout lines.
US11983758B2
A style-driven system may create a holistic shopping experience by generating a user interface (“UI”) with interactive controls and a single presentation for an outfit with two or more items selected from two or more different categories of goods having different utilities or purposes. The single presentation may provide a comprehensive and holistic presentation of the outfit by presenting the items together with a particular arrangement. The holistic shopping experience may include selecting a set of substitute items that are in a same category of goods as a particular item of the outfit and that have one or more style attributes in common with the particular item, and modifying the UI by presenting the set of substitute items for the particular item, and by replacing the particular item in the particular arrangement with a selected substitute item from the set of substitute items.
US11983757B2
Devices, systems, and methods include a three-dimensional (3D) scanning element, an electronic data storage configured to store a database including fields for 3D scan data and demographic information, a processor, and a user interface. In an example, the processor obtains 3D scan data of a body part of a subject from the 3D scanning element, analyzes the 3D scan data for incomplete regions, generate a composite 3D image of 3D scan data from the database based on similarities of demographic information, and overlays composite 3D image regions corresponding to incomplete regions on the 3D scan data.
US11983756B2
In one aspect, a computer implemented method for providing rapid access to product information on a mobile computing device is disclosed. The method includes provisioning an online platform and associating a database repository. Next, the method generates a visual code and identifies the visual code to a domain name. Then the visual code is populated with information, such as product information, wherein the product information is associated to the visual code that is further linked to the data repository and online platform. The association allows for multiple file types and acquisition from web scraping. Further, the online platform allows for editing content behind the domains and generating further subdomains that further link to the original visual code. Thereby providing, in one aspect, a quick information portal through the use of visual codes and data structuring.
US11983753B2
Methods and systems to automatically respond to a request for product information are described. In one embodiment, a data collection module may collect product data over a network, identify that the product data is related to a particular product, and store the product data and an association between the product data and the particular product in a database. An instant messaging engine may receive a request for the product data after the product data is stored in the database and an interpreter module may identify, in response to the request, the request to correspond to the particular product and retrieve the product data based on the association between the particular product and the product data. The instant messaging engine may also transmit, using an instant messaging protocol, a response to the request, the response including the product data.
US11983745B2
Aspects described provide systems and methods that relate generally to image analysis and, more specifically, identifying individual components and elements in an image. The systems and methods include a valuation application executing one or more application program interfaces (APIs) communicating with one or more websites via a network, where the user is prompted to enter information and/or take pictures or videos of their vehicle that they would like to sell. The valuation application utilizes a machine learning model to identify and value the various vehicle components within the images and videos. Based on the machine learning model, the valuation application identifies each component according to the images and videos and performs a search to determine the value of the components identified. The valuation application tabulates and summarizes the vehicle component resale values and resell information for the user to view.
US11983743B2
A system for improving distributed network data flow efficiency by using a machine learning model. The system utilizes a personal data set of at least one user and generates a model during training of the machine learning program utilizing at least one neural network with a training data set including the personal data set of the at least one user. The model provides targeted actions based upon analysis of the personal data set of the at least one user and sends a communication to an agent device of an agent, wherein the communication includes the at least one targeted action.
US11983742B1
Systems, methods, and computer-readable media are disclosed for modeled advertisement conversion attributions. An example method may include receiving first input data comprising first advertisement impression data and first advertisement conversion data, wherein the first input data includes one or more user identifiers associated with both the advertisement impression data and advertisement conversion data. The example method may also include training one or more machine learning models using the first input data. The example method may also include receiving second input data comprising second advertisement impression data, wherein user identifiers are unavailable for the second input data. The example method may also include determining, using the one or more machine learning models, second predicted conversion data associated with the second input data.
US11983741B2
Systems and methods for advertisement-based vehicle matching and routing. For example, a computer-implemented method includes obtaining data associated with a vehicle service request. The data associated with the vehicle service request is indicative of a pick-up location and a destination location associated with the vehicle service request. The method includes determining, from among a plurality of candidate vehicles, a selected vehicle for the vehicle service request based on the data indicative of the vehicle service request, candidate advertisement content items, and candidate routes for the plurality of candidate vehicles. The method includes communicating data that initiates display of a selected advertisement content item by a display device positioned on an exterior of the selected vehicle. The method includes communicating data indicative of route information to a computing device associated with the selected vehicle. The route information includes a selected route to the pick-up location.
US11983733B2
Provided herein are systems, methods and computer readable storage media for facilitating payments for consumer transactions and redemption of deal offerings. In providing such functionality, the system can be configured to, for example, receive payment for one or more products, determine a deal voucher's current value and cause the redemption of the deal voucher.
US11983732B2
Embodiments relate to a method comprising: analyzing a historical data of an entity over a past period comprising a past transaction and a past revenue to develop a buyer persona of a customer in order to identify ideal prospects; selling a target revenue goal for the entity; generating revenue economics using conversion metrics from the target revenue goal as an input; generating a marketing budget working backward from the revenue economics; and generating a marketing plan for a future period that is based on the marketing budget; wherein the method comprises conducting a Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis to take an inventory of current situation of the entity and to identify target market segments by generating the opportunities that are in alignment with the strengths of the entity; and wherein the method is for generating a growth master plan for the future period.
US11983726B2
A consumption prediction method includes the following steps: calculating a personal preference correlation coefficient; inputting historical environment data, a historical consumption record and the personal preference correlation coefficient into a first neural network model; a training model is generated by the first neural network model; and determining whether the accuracy rate of the training model is higher than the training threshold. When the accuracy rate of the training model is higher than the training threshold, the training model is regarded as a prediction model.
US11983719B2
An ATM equipped with forensic card reader identification validation is provided. The ATM may include a real ID card slot. The real ID card slot may accept real ID cards. The ATM may include a call communications module. The call communications module may communicate with a third-party network. Upon insertion of a real ID card at the ATM, the ATM may retrieve security details from the real ID card. The ATM may transmit the security details to the third-party network via the call communications module. The third-party network may verify the security details with one or more databases which are accessible by the third-party network. Upon failure to verify the security details, the third-party network may transmit a failed verification response to the ATM.
US11983717B1
Methods and systems of authorizing transaction requests are disclosed. A financial institution computing system includes a network circuit exchanging information over a network, a customer database storing financial and identification code information for a plurality of customers, and a transaction circuit. The transaction circuit receives a transaction request over the network that specifies a financial account and includes a first identification code provided by an authentication device in conjunction with a separate customer computing device. The transaction circuit authenticates the transaction request by determining whether the first identification code is associated with an authorized user of the financial account specified in the transaction request, authorizes the transaction request, and transmits a confirmation to a transaction terminal over the network via the network circuit.
US11983708B2
Systems, methods, and computer-readable media are provided for processing and settling financial transactions. An example method comprises receiving a transaction from an originator. The transaction comprises information associated with an identification of an initiating user or the account. The method comprises determining the actual account number, transmitting a financial services transaction request comprising the actual account number to a financial institution, receiving a response, and transmitting a response back to the originator. Another method comprises receiving, from a user device, a request to associate a financial account with a user account. The method comprises generating and sending an association message to a payment network and receiving a key associated with the financial account for use in initiating financial transactions. Another method comprises utilizing such a key to generate and process a transaction request. Other systems, methods, and media are also provided.
US11983705B1
A method for preventing the double-spending of digital currency that transfers between multiple distributed ledger technology (DLT) networks. The method includes receiving a message including a smart contract and executing the smart contract. The method further includes detecting a transaction request to transfer the first digital currency from the first DLT network to the second DLT network. The method further includes destroying the digital currency and creating, based on the unit of fiat currency, a second digital currency of a second type on the second DLT network. The method further includes transferring, responsive to detecting the transaction request, the first digital currency from the first DLT network to the second DLT network.
US11983704B2
The present invention relates to a virtual token-based settlement providing system, a virtual token generation apparatus, a virtual token verification server, a virtual token-based settlement providing method, and a virtual token-based settlement providing program. The present invention comprises: a step for receiving a virtual token provided by a virtual token generation means, by a virtual token verification means; a step for extracting multiple detailed codes included in the virtual token by the virtual token verification means; a step for searching for a storage location of an actual card number on the basis of the multiple detailed codes by the virtual token verification means; and a step for transmitting the searched actual card number to a payment settlement service server or a financial company server.
US11983703B2
Disclosed is a method and system, in FIG. 1, for verifying authenticity of specific personal data responsive to a unique wallet address (70) on a public ledger (66) of an unregulated platform (60). The wallet contains one or more non-transferable NFTs each locked to the wallet and related to specific personal data. The non-transferable NFT was minted from a regulated platform (27) to which there is a record (76) in the public ledger. Supplying the unique address of the wallet to a service supplier affects a log-in of a client (18) to the service supplier (90), whereafter message interactions over a network (12) between the service supplier and the unregulated platform (60) permits searching for a relevant (72) non-transferable NFTs (74) stored in the wallet and related to the specific personal data. Return of any relevant non-transferable NFT related to the personal data thus verifies authenticity of the specific personal data by association with a regulated platform.
US11983694B2
According to one embodiment, an information processing device connectable to peripheral devices for retail transaction processing includes an interface for connecting to a plurality of peripheral devices, a storage unit including an unrestricted storage area and a restricted storage area, and a processor. The processor is configured to acquire device information from each of the plurality of peripheral devices connected to the interface, identify whether the acquired device information meets to a first condition, generate a first key from at least a portion of the acquired device information if the first condition is met, then use the generated first key to unlock a first area of the restricted storage area. The processor then executes a first processing program that was stored in the unlocked first area.
US11983693B2
Systems and related methods facilitating payments with a mobile device are discussed herein. Circuitry in a networked-based payment system may be configured to receive payment information from a first device. The first device may include circuitry configured to wirelessly receive wallet identifying data from the payment system. The wallet identifying data may be used to secure messages between the first device and another device over a wireless link. For example, the first device may be configured to send the wallet identifying data to a second device, which may then communicate with the payment system. In response, consumer identifying data associated with the wallet identifying data may be received by the second device from the payment system. In some embodiments, use of wallet identifying data may be applied to other communications, such as for messages that authorize payment.
US11983691B2
Embodiments of the present invention provide an intuitive platform for non-contact instructions regarding resource allocation. In this way, a user may utilize one or more specific gestures which are captured, analyzed, and responded to by the system of the invention in order to initiate or complete one or more resource activities such as a resource transfer, resource transfer split, or other resource action.
US11983689B2
A computer-implemented method comprising receiving captured sensor data; detecting, based on the captured sensor data, a person proximate a point of sale terminal; determining a category for the detected person proximate the point of sale terminal; and selectively providing access to functionality at the point of sale terminal based on the determined category of the detected person.
US11983686B2
Systems and methods comprising determining a first user in proximity to a point of sale (POS) device of a second user, the POS device having detected an identity of the first user and a number of devices associated with the POS device.
The number of devices is compared to a baseline number of devices in proximity to the POS device, which is based on a time of day and calculated from a time period prior to the time of day. Based on a determination that the number differs from the baseline number by more than a threshold amount, data is generated that includes an indication configured to be displayed utilizing a client application executing on a device of the first user, wherein user interaction with the indication enables the user to at least one of initiate or modify a transaction with the second user.
US11983682B2
A physical cryptocurrency may comprise a physical medium and an attached processor. The processor may generate a public-private key pair, or the public-private key pair may be generated in a secure and auditable manner external to the processor and stored on the processor. The private key may enable execution of a smart contract on a blockchain to transfer an asset from a starting address to a destination address on the blockchain.
US11983667B2
Automated inventory management and material (or container) handling removes the requirement to operate fully automatically or all-manual using conventional task dedicated vertical storage and retrieval (S&R) machines. Inventory requests Automated vehicles plan their own movements to execute missions over a container yard, warehouse aisles or roadways, sharing this space with manually driven trucks. Automated units drive to planned speed limits, manage their loads (stability control), stop, go, and merge at intersections according human driving rules, use on-board sensors to identify static and dynamic obstacles, and human traffic, and either avoid them or stop until potential collision risk is removed. They identify, localize, and either pick-up loads (pallets, container, etc.) or drop them at the correctly demined locations. Systems without full automation can also implement partially automated operations (for instance load pick-up and drop), and can assure inherently safe manually operated vehicles (i.e., trucks that do not allow collisions).
US11983665B2
A system and method are provided for integrating a plurality of supply chain networks, the system comprising interfaces to vendors, consolidation centers, warehouses, retail facilities, and last mile delivery companies to enable multiple retailers to use at least one facility or transportation vehicle from another supply chain or delivery network to utilize excess capacities. The system provides a management service for exposing, abstracting, and integrating multiple supply chain network elements from different parties into a single supply chain and delivery network.
US11983653B2
A computing platform is configured to: (i) at a first time, input data values for a first set of data variables associated with a given construction project into a first machine-learning model that functions to output a prediction of a first set of reference projects that are similar to the given construction project, (ii) based on historical data for the first set of reference projects, determine a predicted value for a parameter of the given construction project, (iii) at a second time, input data values for a second set of data variables associated with the given construction project into a second machine-learning model that functions to output a prediction of a second set of reference projects that are similar to the given construction project, and (iv) based on historical data for the second set of reference projects, determine an updated predicted value for the parameter of the given construction project.
US11983648B2
Data associated a plurality of user interface elements may be retrieved from at least one database associated with a service business, such as a casino. At a first time, a first indication to turn on a first subset of the plurality of user interface elements may be received. The user interface elements may include content management, task management, property management, action management, player profiling, comp management, player development, asset tagging and flagging, profitability and comparative analysis, etc. Each of the first subset of user interface elements may be populated with the respective data associated that user interface element.
US11983647B2
A method for a first electronic device comprises generating a decision-making data structure using a machine learning data structure; transmitting, to a second electronic device, the decision-making data structure; receiving, from the electronic device, result data regarding a result of performing a selected action selected from the decision-making data structure; and updating the machine learning data structure using the result data.
US11983641B2
According to some embodiments of the present disclosure, the disclosure relates to an application system and server kit that create and serve digital twin-enabled applications. This disclosure also relates to a hub-and-spoke classification system. This disclosure also relates to a location-based services framework that leverages a generative content process to improve location prediction. This disclosure also relates to virtual reality and augmented reality applications, as well as digital agents that support various types of applications.
US11983636B2
A model retraining tool is provided for utilizing a knowledge graph to retrain analytical models used in production. The model retraining tool retrains the analytical models to improve performance of the analytical models in an efficient and resource conserving manner.
US11983633B2
An information processing apparatus (2000) acquires input data (10) and generates, by use of a neural network (30), condition data (50) that indicate one or more conditions satisfied by the input data (10). The information processing apparatus (2000) determines prediction data (20) by use of a value determined based on correct answer data (42) associated with example data (40) that satisfy at least a part of conditions indicated by the condition data (50).
US11983632B2
The disclosure describes one or more implementations of a neural network architecture pruning system that automatically and progressively prunes neural networks. For instance, the neural network architecture pruning system can automatically reduce the size of an untrained or previously-trained neural network without reducing the accuracy of the neural network. For example, the neural network architecture pruning system jointly trains portions of a neural network while progressively pruning redundant subsets of the neural network at each training iteration. In many instances, the neural network architecture pruning system increases the accuracy of the neural network by progressively removing excess or redundant portions (e.g., channels or layers) of the neural network. Further, by removing portions of a neural network, the neural network architecture pruning system can increase the efficiency of the neural network.
US11983629B1
Systems and methods for training machine learning models are disclosed. An example method includes receiving a semi-labeled set of training samples including a first set of training samples, where each training sample in the first set is assigned a known label, and a second set of training samples, where each training sample in the second set has an unknown label, determining a first loss component, the first loss component providing a loss associated with the first set, determining a second loss component, the second loss component having a value which increases based on a difference between a distribution of individually predicted values of at least the second set and an expected overall distribution of at least the second set, and training the machine learning model, based on the first loss component and the second loss component, to predict labels for unlabeled input data.
US11983618B2
Advancing beyond Interpretability and explainability approaches that may uncover what a Deep Neural Network (DNN) models, i.e., what each node (cell) in the network represents and what images are most likely to activate the model provide a mimicked type of learning of generalization applicable to previously unseen samples. The approach provides an ability to detect and circumvent adversarial attacks, with self-verification and trust-building structural modeling. Computing systems may now define what it means to learn in deep networks, and how to use this knowledge for a multitude of practical applications.
US11983597B2
A method for manually reading a code marked on an article having a first main face on a first side and a second main face, opposite the first main face, on a second side, wherein, with the article being fixed, a portable device equipped with an optical imaging system including at least one optical sensor is positioned on the first side of the article so as to place the optical sensor facing the code in a reading direction corresponding to the observation direction of the imaging system, and wherein, with the code being illuminated by a light source located on the second side of the article, at least one image of the code is acquired by the optical imaging system.
US11983589B2
The present disclosure relates to a method of amending a fingerprint template for a user of a smart card, where the user of the smart card is progressively enrolling based on comparison and/or using a separate credential such as a PIN code. The present disclosure also relates to a corresponding smart card and to a computer program product.
US11983588B2
A label printing program running on a computing system can associate assets with unique identifiers (UIDs) corresponding to ID tag-bearing labels that are designed to be affixed to the assets. In response to user input selecting an asset for which ID tag-bearing labels should be printed, the label printing program can send command(s) to a printing system that cause an ID tag reader within the printing system to read an ID tag from an unprinted label and determine a UID associated with the ID tag. In response to receiving the UID from the printing system, the label printing program can update a data record that is associated with the asset with the UID associated with the ID tag. The printing system can also print relevant asset information on the unprinted label, thereby creating a printed label that can be affixed to the asset.
US11983586B2
A ceramic circuit board includes a ceramic base material, a metal layer (first metal layer), and a marker portion. The marker portion is formed on the surface of the first metal layer. The surface of the metal layer (first metal layer) may be plated. When the surface of the metal layer (first metal layer) is plated, the marker portion may be formed on the plating.
US11983578B2
A computer program product may cause a processor to perform various operations in a composable computing system. The operations may include accessing a system resource database including, for each of a plurality of disaggregated computing hardware resources within the composable computing system, data corresponding to hardware characteristics for the hardware resource and a power domain characteristic of a power domain that supplies power to the hardware resource. The operations may further include identifying a workload request that requests performance of a workload and identifying a power domain requirement for the workload. Still further, the operations may include selecting a subset of the disaggregated computing hardware resources to be included in a first computing subsystem, wherein each hardware resource selected to be included in the first computing subsystem complies with the identified power domain requirement for the workload, provisioning of the first computing subsystem, and assigning the first computing subsystem to perform the workload.
US11983577B2
Some embodiments provide a method for clustering a set of data compute nodes (DCNs), which communicate with each other more frequently, on one or more host machines. The method groups together guest DCNs (GDCNs) that (1) execute on different host machines and (2) exchange network data among themselves more frequently, in order to reduce interhost network traffic. The more frequently-communicating GDCNs can be a set of GDCNs that implement a distributed application, GDCNs of a particular tier in a multi-tier network architecture (e.g., a web tier in a three-tier architecture), GDCNs that are dedicated to a particular tenant in a hosting system, or any other set of GDCNs that exchange data among each other regularly for a particular purpose.
US11983574B1
Certain aspects of the disclosure provide systems and methods for receiving a request to process a workload on a remote processing system; determining one or more workload requirements associated with processing the workload; and processing the one or more workload requirements with a contextual bandit machine learning model to generate a processing configuration for the remote processing system. The remote processing system provisions resources based on the processing configuration and processes the workload.
US11983572B2
Examples described herein relate to a method and a system, for example, a workload controller, for accessing purged workloads. An alert indicative of an attempt to access a purged workload of workloads deployed in a workload environment may be received by the workload controller. The purged workload may include one or both of a deactivated workload or an archived workload. The workload controller may detect the attempt to access the purged workload based on port mirrored data traffic. Further, in some examples, the workload controller may activate the purged workload based on the alert.
US11983567B2
Certain aspects of the present disclosure provide a method for performing parallel data processing, including: receiving data for parallel processing from a data processing requestor; generating a plurality of data sub-blocks; determining a plurality of data portions in each data sub-block of the plurality of data sub-blocks; changing an order of the plurality of data portions in at least one data sub-block of the plurality of data sub-blocks; providing the plurality of data sub-blocks, including the at least one data sub-block comprising the changed order of the plurality of data portions, to a plurality of processing units for parallel processing; and receiving processed data associated with the plurality of data sub-blocks from the plurality of processing units.
US11983566B2
Apparatuses, systems, and techniques for scheduling deep learning tasks in hardware are described. One accelerator circuit includes multiple fixed-function circuits that each processes a different layer type of a neural network. A scheduler circuit receives state information associated with a respective layer being processed by a respective fixed-function circuit and dependency information that indicates a layer dependency condition for the respective layer. The scheduler circuit determines that the layer dependency condition is satisfied using the state information and the dependency information and enables the fixed-function circuit to process the current layer at the respective fixed-function circuit.
US11983561B2
As part of a container initialization procedure, a maximum number of hardware threads per processor core in a set of cores of a computer system are enabled, the container initialization procedure configuring an operating system executing on the computer system for container execution and configuring a first container for execution on the operating system. From a set of available cores in the set of cores, an execution core is selected. In the selected execution core, a number of threads per core to be used during execution of the first container is configured, the number of threads per core specified for the container initialization procedure by a first simultaneous multithreading (SMT) parameter. Using the configured execution core, the first container is executed, the executing virtualizing the operating system.
US11983555B2
Systems and methods for storage snapshots for nested virtual machines. An example method may comprise running, by a host computer system, a hypervisor managing a first virtual machine associated with a first virtual device. Responsive to creating a second virtual machine by the hypervisor, requesting, by the first virtual machine, a first snapshot of the first virtual device. The hypervisor generates the first snapshot of the first virtual device and forwards the first snapshot of the first virtual device to the second virtual machine.
US11983548B2
A method is described for processing keyed data items that are each associated with a value of a key, the keyed data items being from a plurality of distinct data streams, the processing including collecting the keyed data items, determining, based on contents of at least one of the keyed data items, satisfaction of one or more specified conditions for execution of one or more actions and causing execution of at least one of the one or more actions responsive to the determining.
US11983543B2
An information processing device includes processing circuitry configured to determine whether or not there is integrity in predetermined data regarding a boot sequence of an Operating System (OS) during execution of shutdown of the OS, arid suspend shutdown of the OS when it is determined that there is no integrity in the predetermined data.
US11983530B2
Systems and methods described herein may relate to providing a dynamically configurable circuitry able to process data associated with a variety of matrix dimensions using one or more complex number operations, one or more real number operations, or both. Configurations may be applied to the configurable circuitry to program the configurable circuitry for a next operation. The configurable circuitry may process data according to a variety of operations based at least in part on operation of a repeated processing element coupled in a compute network of processing elements.
US11983525B2
A container image is received, the container image including a container manifest referencing a first base operating system layer and an application layer. An execution compatibility is determined between the application layer and a second base operating system layer, different from the first operating system layer. An updated container image, an updated container manifest, or the updated container image and the updated container manifest is generated in which the first base operating system layer is replaced with the second base operating system layer.
US11983523B2
A method, computer program product, and computer system for copying, at a new node, reservation metadata volumes of an old node. While a software upgrade is in progress, volume reservation command processing may be enabled on both the new node and the old node when copying is complete. Separate logic may be run to process a volume reservation command of the volume reservation command processing. The old node may be switched to a primary mode, wherein the new node may be switched to a secondary mode to synchronize volume reservation metadata with a primary copy. When the software upgrade is complete, the new node may be switched to a single mode to use only a volume reservation database of the new node.
US11983519B2
Examples of aborting installation of a firmware bundle are described. In an example, an abort installation command is received. The firmware bundle includes items, each item corresponding to one of a firmware for a hardware component and a system software component. A first set of items is identified from the items, where the first set of items includes one of an item installed successfully, an item for which installation is under progress, and a combination thereof. A second set of items is identified from the items, where the second set of items is pending installation. A first subset of items is identified from the second set, based on predefined dependency information, where operability of an item from the first set is dependent on an item from the first subset. The first subset of items is installed prior to aborting installation of the firmware bundle.
US11983517B2
A hardware acceleration method includes obtaining compilation policy information and a source code, where the compilation policy information indicates that a first code type matches a first processor and a second code type matches a second processor; analyzing a code segment in the source code according to the compilation policy information; determining a first code segment belonging to the first code type or a second code segment belonging to the second code type; compiling the first code segment into a first executable code; sending the first executable code to the first processor; compiling the second code segment into a second executable code; and sending the second executable code to the second processor.
US11983510B2
Apparatus for evaluating a mathematical function for a received input value includes a polynomial block configured to identify a domain interval containing the received input value over which the mathematical function can be evaluated, the mathematical function over the identified interval being approximated by a polynomial function; and evaluate the polynomial function for the received input value using a set of one or more stored values representing the polynomial function over the identified interval to calculate a first evaluation of the mathematical function for the received input value; and a CORDIC block for performing a CORDIC algorithm, configured to initialise the CORDIC algorithm using the first evaluation of the mathematical function for the received input value calculated by the polynomial block; and implement the CORDIC algorithm to calculate a refined evaluation of the mathematical function for the received input value.
US11983502B2
The example embodiments are directed toward improvements in document classification. In an embodiment, a method is disclosed comprising generating a set of sentences based on a document; predicting a set of labels for each sentence using a multi-label classifier, the multi-label classifier including a self-attended contextual word embedding backbone layer, a bank of trainable unigram convolutions, a bank of trainable bigram convolutions, and a fully connected layer the multi-label classifier trained using a weakly labeled data set; and labeling the document based on the set of labels. The various embodiments can target multiple use cases such as identifying related entities, trending related entities, creating ephemeral timeline of entities, and others using a single solution. Further, the various embodiments provide a weakly supervised framework to train a model when a labeled golden set does not contain a sufficient number of examples.
US11983495B2
An evaluation device includes a first calculation unit configured to calculate feature quantities of respective words, the feature quantities corresponding to text data in which a target of any goal of the SDGs is described and text data in which an outline of one or more first services for which a contribution to the goal that is clear is described, a generation unit configured to generate a sentence feature matrix based on the feature quantities of the respective words, a second calculation unit configured to calculate, when text data in which an outline of a second service is described is input, feature quantities of respective words, and an evaluation unit configured to evaluate a degree of a contribution of the second service to the goal based on the feature quantities of the respective words relevant to the second service and the sentence feature matrix.
US11983487B2
A document creation assistance apparatus includes a tree structure generation unit configured to analyze a learning document for system development and generate a tree structure representing separate sections of the learning document, a frequency calculation unit configured to calculate, per leaf node of the tree structure, a frequency vector of a word that appears, a question extraction unit configured to extract, according to the frequency vector, a word about which a user is to be questioned, a question presentation unit configured to present a question about the extracted word to the user and receive an answer, and a document generation unit configured to generate a document with the extracted word and the answer set in a section of the separate sections of the leaf node according to the separate sections of the tree structure.
US11983479B2
A method of fabricating an integrated circuit includes placing a first set of conductive feature patterns on a first level, placing a second set of conductive feature patterns on a second level, placing a first set of via patterns between the second set of conductive feature patterns and the first set of conductive feature patterns, placing a third set of conductive feature patterns on a third level different from the first level and the second level, placing a second set of via patterns between the third set of conductive feature patterns and the second set of conductive feature patterns, and manufacturing the integrated circuit based on at least one of the above patterns of the integrated circuit.
US11983467B2
A Rapid Aero Modeling program and process may be applied to computational experiments such as computational fluid dynamics (CFD) programs to obtain aerodynamic models which may be in the form of polynomial equations. The program and process may be utilized to estimate (develop) aerodynamic models appropriate for flight dynamics studies, simulations, and the like. Feedback loops are provided around computational codes to rapidly guide testing toward aerodynamic models that meet user-defined fidelity criteria. A user has the freedom to choose a specific level of fidelity in terms of prediction error, in advance of a CFD test (computation).
US11983465B2
An input assistance system includes a terminal device including a display screen, an acquisition unit, a recognition unit, an input item display unit, a recognition result display unit, and a reception unit. The acquisition unit acquires utterance voice data of a user. The recognition unit performs voice recognition of the utterance voice data to generate text data. The input item display unit displays a plurality of input items including the input item associated with the text data. The recognition result display unit displays the text data. The reception unit accepts an operation of selecting the input item associated with the text data displayed by the recognition result display unit from the plurality of input items displayed by the input item display unit. The reception unit accepts the operation of selecting the input item associated with the text data when the plurality of input items and the text data are displayed.
US11983461B2
Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for displaying augmented reality content. The program and method provide for causing, by a messaging application running on a device, a camera of the device to capture an image; receiving by the messaging application, speech input to select augmented reality content for display with the image; determining at least one keyword included in the speech input; determining that the at least one keyword indicates an object depicted in the image and an action to perform with respect to the object; identifying, from plural augmented reality content items, an augmented reality content item that corresponds to performing the action with respect to the object; and displaying the augmented reality content item with the image.
US11983460B2
Method and system for playing audio on a device, the method comprising the steps of a component of a digital work initiating a request for audio data during a rendering of the digital work, the digital work including video data. In response to the request, receiving the audio data. While continuing the rendering of the digital work on the device, suspending playback of first audio data currently playing on the device and playing the received audio data on the device. When the received audio data stops playing continuing with the rendering of the digital work on the device and resuming playback of the first audio data previously playing on the device.
US11983453B1
A printing apparatus includes a sensor and a processing circuit. The sensor detects a width of a printing medium. The processing circuit acquires detected width information based on detection of the width by the sensor. The processing circuit applies, if printing setting information on the width indicated by the detected width information is stored in a storage unit, a printing setting to the printing apparatus based on the printing setting information on the width indicated by the detected width information.
US11983436B2
A memory controller includes a buffer memory including memory banks, one or more host access units configured to perform an access to the buffer memory for a host, one or more memory access units configured to perform an access to the buffer memory for a memory device, and a processor configured to control an operation of the memory controller. The processor divides the memory banks into an external memory bank group for an external operation related to the host, and an internal memory bank group for an internal operation within a memory system. The host access units access the external memory bank group. The memory access units access the external memory bank group to perform the external operation, and access the internal memory bank group to perform the internal operation.
US11983435B2
A system having a processing device and a controller, operatively connected to a memory sub-system via a communication channel, to: store information identifying an amount of available capacity of a buffer of the memory sub-system; transmit, through the communication channel to the memory sub-system, one or more write commands to store data in memory components of the memory sub-system, where the memory sub-system queues the one or more write commands in the buffer; update the information by deducting, from the amount of available capacity, an amount of buffer capacity used by the one or more write commands to generate a current amount of available capacity of the buffer; and determine whether to generate an information request to the memory sub-system based at least in part on the current amount of available capacity.
US11983424B2
A read disturb information isolation system includes a storage subsystem including a plurality of blocks that each include a plurality of rows, and a read disturb information isolation subsystem that is coupled to the storage system. For at least one of the plurality of blocks, the read disturb information isolation system retrieves data from at least a subset of rows in that block, identifies read disturb information for that data, performs at least one isolation operation on that read disturb information to generate isolated read disturb information, and provides that isolated read disturb information to a read temperature identification subsystem. The read temperature identification subsystem may then use the isolated read disturb information provided by the read disturb information isolation subsystem to generate a local logical storage element read temperature map.
US11983418B2
A data storage device comprising a non-volatile storage medium configured to store user data, a data port configured to transmit data between a host computer system and the data storage device, a data security indicator, and a controller. The controller is configured to selectively control access of the host computer system to the user data based on security configuration data of the data storage device. The controller is further configured to respond to the occurrence of one or more operations, the operations being any of: (i) a data access operation requested or performed, by the host computer system, on the data storage device to access the storage medium via the data port; and (ii) a security control operation requested or performed, by an external device, on the data storage device to store, retrieve or update the security configuration data of the data storage device. The response of the controller includes generating an indicator control signal to cause the data security indicator to indicate one or more security parameters associated with the one or more operations.
US11983415B2
A memory management method for a memory storage device is provided. The memory management method includes: detecting effective information of at least one operation event performed by the memory storage device in a first mode; and adjusting a threshold value according to the effective information. The threshold value is configured to determine whether to instruct the memory storage device to enter the first mode.