43 results about "Pre processor" patented technology

A system includes a pre-processor configured to receive three-dimensional (3-D) image data, flatten the 3-D image data to produce corresponding two-dimensional (2-D) image data, and concatenate the 3-D image data and the corresponding 2-D image data to provide concatenated image data. The system further includes an encoder including one or more first neural networks (NNs), the encoder configured to use the one or more first NNs to encode the concatenated image data to provide encoded data, a decoder including one or more second NNs, the decoder configured to use the one or more second NNs to decode the encoded data to provide decoded data, and a reconstructor including a plurality of hybrid 2-D / 3-D reconstructors configured to reconstruct the decoded data to provide a denoised 3-D output image corresponding to the 3-D image data.

A system may comprise a data interpolation platform that comprises a data collector, a pre-processor, an artificial intelligence (AI) engine, an interactive graphical user interface (GUI) engine, a data monitor and one or more servers. The data collector may be configured to collect, from among one or more data sources, data and information (“collected data”). The AI engine may be configured to generate, train, validate, test and / or deploy one or more AI models. The interactive GUI engine may be configured to generate and dynamically update an interactive GUI. The one or more servers may comprise one or more processors, a memory and computer-readable instructions that, when executed by the one or more processors, cause the data interpolation platform to determine, display and dynamically update predictive and interpolated pricing data.

A processor-implemented method includes receiving, at a processor, from a transceiver and without human intervention, location data associated with a target. The processor receives, from the transceiver, product data for a resupply request referencing the target, the product data including at least one of a product type or a product quantity. The processor generates, without human intervention, unmanned autonomous vehicle (UAV) mission data based on the location data and the product data, the UAV mission data including a representation of at least one UAV and flight path data for the at least one UAV. The UAV mission data is caused to transmit to at least one UAV controller to cause the at least one UAV controller to initiate navigation of the at least one UAV according to the UAV mission data.

A vehicle storage device according to at least one embodiment includes: a first interface configured to transmit a first signal to an object, and to receive first data generated by analog to digital converting a second signal reflected and returned to the object outside a vehicle; a radar pre-processor configured to generate second data by performing a preprocessing operation on the first data; a second interface configured to output the second data; and a non-volatile memory configured to store the first data.

An engine identifying segments or portions of one source material or source file common to or found in another source material or file. The engine may receive a first data stream in binary form as well as a second stream in binary form. The engine may include a data stream processor or pre-processor programed to translate the first and second data streams to generate respective first and second processed data streams. The commonality between the first and second processed data streams may be greater than the commonality between the first and second data streams themselves. Also, a comparator may be programmed to compare the first and second process data streams and identify binary segments found in both the first and second processed data streams.

The present invention provides a vision system camera having a multi-core processor, high speed and high resolution imager, field of view extender, auto focus lens, and pre-processor connected to the imager for pre-processing image data, and a coordinated method of operation, which provides highly desirable acquisition and processing speed, as well as image clarity, in a wide range of applications. The mechanism is effective for scanning objects requiring a wide field of view, varying in size, and moving relatively rapidly with respect to the system's field of view. The vision system provides a physical package having a variety of physical interconnect options to support a variety of options and control functions. The package is effective in dissipating heat generated internally by arranging components to optimize heat exchange with the surrounding environment, and including heat dissipation structures to facilitate such heat exchange (e.g. fins). The system also allows for a variety of multi-core process optimization and load balancing of image processing and system operation (e.g. automatic adjustment of tasks).

The application discloses a code scanning payment settlement system and method, which comprises a mobile payment terminal, a seller payment terminal and a server; the seller payment terminal comprises a second positioning module, the mobile payment terminal comprises a first positioning module and a transaction record module, and the server comprises a pre-database and a pre-processor. In the application, whether the real-time position of the mobile payment terminal of a buyer is within the first preset threshold from the transaction position is judged by the pre-processor, and then it is judged whether the alert mode or the security mode is enabled. In the alert mode, the security of the transaction is protected by encrypting the payment code to protect the seller payment terminal of the first transaction with strangers. In the security mode, the transaction is completed as soon as possible in the vicinity of the seller payment terminal of the completed transaction, and the situation that the payment code is stolen and brushed is avoided, so that the payment security of the buyer is improved.

The present invention relates to a management system (100) for controlling a dynamic system configuration. The management system (100) is configured to analyse current and past configurations of a multi-component computing system using a machine learning model. The machine learning model predicts future demands for the multi-component computing system's resources, thereby generating optimised configuration settings to be deployed in the multi-component computing system's environment. The management system (100) comprises a plurality of data collection agents or DCAs (10), a unified metrics collector or UMC (20), a metrics pre-processor or MPP (30), an intelligent analysis module or IAM (40), an execution engine or EE (50), and a plurality of configurator agents or CAs (60).

The invention relates to a system for maintaining reversible dynamic range control information associated with a parametric audio encoder. On the basis of a bitstream (P), an n-channel audio signal (X) is reconstructed by deriving an m-channel core signal (Y) and a multi-channel coding parameter (alpha) from the bitstream, where 1 < = m < n. A pre-processing dynamic range control parameter, i.e., a pre-processing DRC parameter (DRC2), that quantizes the encoder-side dynamic range limitation of the core signal is also derived from the bitstream. The n-channel audio signal is obtained by parameter synthesis according to the multi-channel encoding parameters while eliminating any encoder-side dynamic range limitations based on the pre-processing DRC parameters. In particular embodiments, the reconstruction further includes the use of compensated post-processing DRC parameters that quantify possible decoder-side dynamic range compression. Preferably, encoder-side range limit cancellation and range compression are performed by different decoder-side components. Cancellation and compression may be coordinated by a DRC preprocessor.

A preconditioner processing method includes determining a thread dependency of at least one thread computing task to be executed by a preconditioner, and sequentially executing all of a plurality of threads of the preconditioner processing device, and based on a sequence of memory access, to-be-executed thread computing task whose dependent thread computing tasks are in an executed state, implementing multi-thread parallel execution of the preconditioner.

In a server apparatus of a traffic control system, a pre-processor records a position of a vehicle in a database. A control information generator periodically generates individual control information regarding vehicles by using information in the database, and transmits the individual control information to each vehicle. Each vehicle controls travel of the subject vehicle by using the latest individual control information received from the server apparatus. In the server apparatus, an emergency processor is implemented when received travel information includes information that hinders travel of another vehicle, and generates and transmits information corresponding to the information that hinders the travel of the other vehicle, as the individual control information regarding each of the vehicles.

A state-of-the-art memory controller and methods for using the same are disclosed. The memory controller is intended for use with dynamic random-access memory (DRAM) circuitry. In one example, a memory controller includes a reordering preprocessor circuitry coupled to a reordering scheduler circuitry. The reordering scheduler circuitry is configured to control a reordering scheduler queue, and is coupled to DRAM circuitry. The reordering preprocessor circuitry is configured to control a preprocessor queue and reorder transactions in the preprocessor queue so as to increase the DRAM circuitry performance.

A vehicle storage device according to at least one embodiment includes: a first interface configured to transmit a first signal to an object, and to receive first data generated by analog to digital converting a second signal reflected and returned to the object outside a vehicle; a radar pre-processor configured to generate second data by performing a pre-processing operation on the first data; a second interface configured to output the second data; and a non-volatile memory configured to store the first data.

Problem: It should be possible to reduce the load on a server device that controls the movement of a vehicle and to deal with driving disruptions immediately. Means for the solution: In a server device (3) of a traffic control system (1), a preprocessing processor (41) records a position of a vehicle (2) in a database (5). A control information generator (42) periodically generates individual control information regarding the vehicles (2) using the information in the database (5) and sends the individual control information to each vehicle (2). Each vehicle (2) controls the travel of the respective vehicle using the latest individual control information received from the server device (3).In the server device (3), an emergency processor (43) is activated when the received driving information includes information that the driving of another vehicle is obstructed, which generates and transmits information containing information that the driving of another vehicle is obstructed as individual control information with respect to each of the vehicles (2).

The embodiment of the invention provides a microcontroller system and a method for waking up a central processing unit. The microcontroller system comprises the central processing unit, a peripheral device and an interrupt preprocessor. The interrupt preprocessor is connected between the central processing unit and the peripheral device. When the central processing unit is powered off, the interrupt preprocessor is configured to: receive an interrupt signal from the peripheral device; when the number of times that the interrupt preprocessor receives the interrupt signal from the peripheral device is larger than or equal to a first preset number of times, a wake-up signal is output to start the central processing unit.

A micro-controller system including a central processing unit, a peripheral device, and an interrupt pre-processor is provided. The interrupt pre-processor is connected between the central processing unit and the peripheral device. When the central processing unit is powered down, the interrupt pre-processor is configured to receive an interrupt signal from the peripheral device and output a wake-up signal to activate the central processing unit when the number of times that the interrupt pre-processor receives the interrupt signal from the peripheral device is higher than or equal to the first predetermined number.

Disclosed is an apparatus including an input interface. The input interface is configured to obtain input sensor data. For example, the input sensor data includes light detection and ranging (LiDAR) data indicative of an environment. The apparatus includes a pre-processor communicatively coupled to the input interface. The pre-processor optionally includes a parser logic. The pre-processor includes a decoder communicatively coupled to the parser logic. The segmentation logic is configured to parse the input sensor data. The decoder is configured to decode the parsed input sensor data. The pre-processor is configured to provide the decoded input sensor data and the parsed input sensor data to a processor for fusion.

A computer system includes a transceiver that receives over a data communications network different types of input data and multiple data transaction objects from multiple source nodes. A pre-processor processes the different types of input data and the data transaction objects to generate an input data structure. Based on the input data structure, one or more predictive machine learning models is trained and used to predict a probability of execution of each of the data transaction objects at a future execution time. Output data messages are then generated for transmission by the transceiver over the data communications network indicating the probability of execution for at least one of the data transaction objects at the future execution time.

Problem: It should be possible to reduce the load on a server device that controls the movement of a vehicle and to handle a situation in which a vehicle must make an emergency stop on a hard shoulder, if one is available. Means for solving the problem: In a server device (3) of a traffic control system (1), a preprocessing processor (41) records a position of a vehicle (2) in a database (5). A control information generator (42) periodically generates individual control information regarding the vehicles (2) using information in the database (5) and transmits the individual control information. Each vehicle (2) controls the travel of that vehicle using the individual control information from the server device (3). In the server device (3), when a vehicle (2) is present that needs to make an emergency stop on a hard shoulder, an emergency processor (43) is activated, which sets passage control areas (96 and 97) around the position of the vehicle (2) and updates the passage control areas (96 and 97).The control information generator (42) generates and transmits individual control information for deceleration or stopping for a vehicle (2) that is likely to travel in the transit control areas (96 and 97) stored in the database (5), and generates and transmits the individual control information for an emergency stop for the vehicle (2) that performs the emergency stop.

Methods, systems, and computer readable media for utilizing an augmented neural network are disclosed. In one embodiment, the method includes utilizing a neural network (NN) pre-processor to convert generic coordinates associated with a dynamical system to canonical coordinates, concatenating a Hamiltonian neural network (HNN) to the NN pre-processor to create a generalized HNN, and training the generalized HNN to learn nonlinear dynamics present in the dynamical system from generic training data. The method also includes utilizing the trained generalized HNN to forecast the nonlinear dynamics, and quantifying chaotic behavior from the forecasted nonlinear dynamics to discover and map one or more transitions between orderly states and chaotic states exhibited by the dynamical system.

In a server apparatus of a traffic control system, a pre-processor records a position of a vehicle in a database. A control information generator periodically generates individual control information regarding vehicles by using information in the database, and transmits the individual control information to each vehicle. Each vehicle controls travel of the subject vehicle by using the individual control information received from the server apparatus. In the server apparatus, an emergency processor is implemented when received travel information includes information that hinders travel of another vehicle, identifies the position of the vehicle related to the travel information, and records passage regulation regions and in the database. The control information generator generates and transmits the individual control information for deceleration or a stop for a vehicle that is likely to travel in the passage regulation regions and in the database.

A vehicle storage device according to at least one embodiment includes: a first interface configured to transmit a first signal to an object, and to receive first data generated by analog to digital converting a second signal reflected and returned to the object outside a vehicle; a radar pre-processor configured to generate second data by performing a pre-processing operation on the first data; a second interface configured to output the second data; and a non-volatile memory configured to store the first data.

This application discloses an optoelectronic device, its fabrication method, and a display device. The fabrication method includes the following steps: providing a pre-processing device, the pre-processing device comprising a stacked anode, a hole-functional layer, an interface layer, and an auxiliary layer; subjecting the pre-processing device to an electric current treatment; removing the auxiliary layer; and then disposing a cathode on the side of the interface layer opposite to the hole-functional layer to obtain the optoelectronic device. This application aims to solve the problem that the hole-functional layer and the light-emitting layer are easily damaged during device aging, thus affecting the device's light-emitting performance.

In an approach to improve service chain node adequacy, embodiments utilize fifth-generation technology standard (5G) for broadband cellular networks architecture for creating relevant network slices for dedicated business processes, to ensure that each node within the network slice has stabilized operations. Embodiments employ an optimization technique, maximize a model of network adequacy to ensure there is a predetermined amount of adequacy to handle a request, and introduce the model for pre-processor without impacting existing functionality. Embodiments apply one or more constraints to one or more systems to balance the one or more queues; and implement a rapid packet delivery to a subsequent entity comprising decongested queues.

A pre-processor applies a pre-process to an original mass image produced through mass spectrometry of a sample, to produce a model input image. An image quality converter has an image quality conversion model produced through machine learning based on a group of images produced by a scanning electron microscope, and produces a model output image through image quality conversion of the model input image. A post-processor applies a post-process to the model output image, to produce a mass image after image quality conversion.

This application provides a preconditioner processing method and apparatus, a device, and a system, relates to the computer field, and is applied to a computing device for solving a partial differential equation. The method includes: A preconditioner processing device first determines a thread dependency of at least one thread computing task to be executed by a preconditioner, and then all of a plurality of threads of the preconditioner processing device sequentially execute, based on a sequence of memory access, to-be-executed thread computing task whose dependent thread computing tasks are in an executed state, to implement multi-thread parallel execution of the preconditioner. In this way, a dependency between threads in a computing task of the preconditioner is determined, so that full thread synchronization between layers is converted into point-to-point synchronization between threads, thereby reducing time consumed for synchronization between layers and improving parallel execution efficiency of the preconditioner.

Systems and methods are provided to increase the rate at which a system can accept and process data transaction request messages. The system includes a pre-processor that filters incoming data transaction request messages prior to transmitting the messages for further processing, for example, by a matching engine. The pre-processor quickly identifies whether a new arriving data transaction request is transactable. If the new arriving data transaction request is not transactable, then the data transaction request will be transmitted and stored in a main data structure and not transmitted to the matching engine.

A pre-processor (PP) component and related method for a machine learning system (MLS) for processing medical data. The preprocessor comprises an input interface (IN) for receiving a human generated initial finding for a patient and a medical image to which the said finding pertains. An encoder (ENC) DPS of preprocessor encodes the finding and the medical image into encoded data, including encoded image data and encoded finding data. A combiner (COM) component of preprocessor combines the encoded finding and the encoded image data into combined encoded data. An output interface (OUT) provides the combined encoded data to the machine learning system. More robust machine learning performance may be achieved with the proposed pre-processor (PP).

A system for determining correction of handwriting Chinese characters includes a Chinese character collector for collecting template Chinese characters which is inputted by handwriting. A feature classifier is connected to a pre-processor for automatically classifying features of the template Chinese characters. Text features of the template Chinese characters are acquired by a program. A tested handwriting Chinese character collector is connected to the feature classifier for collecting the handwriting Chinese characters to be tested. Exact external rectangles and mass centers of the handwriting Chinese characters to be tested are calculated, which are inputted to the feature classifier and the text features for the handwriting Chinese characters to be tested are calculated. A feature comparator is connected to the feature classifier and serves to compare the text features of a handwriting Chinese character to be tested with feature sets stored in a feature set database.

An image sensor includes a sensing unit configured to generate a plurality of images having different exposure times for a same object, a pre-processor configured to generate a merged image by merging the plurality of images, an interface circuit configured to output at least one of the plurality of images and / or the merged image to an external processor, and a controller configured to control the pre-processor to selectively generate the merged image based on information of the plurality of images.