865 results about "Computer processing" patented technology

Apparatus and methods are described including a ventricular assist device that includes an impeller configured to be placed inside a left ventricle of a subject. A driving magnet is coupled to a motor and is rotated by the motor. A driven magnet is magnetically coupled to the driving magnet and is rotated by the driving magnet. A drive cable extends from the driven magnet and imparts rotational motion from the driven magnet to the impeller. A set of sensors is configured to detect a magnetic phase difference between the driven magnet and the driving magnet. A computer processor receives the detected magnetic phase difference and determines a physiological parameter of the subject, at least partially in response thereto. Other applications are also described.

The invention discloses a battery cell simulation type state sensing and feedback method and system, and the method comprises the steps: providing a simulation battery cell detection device which flows on a production line along with an actual battery cell; the device is provided with a shell matched with an actual battery cell in boundary dimension, a film pressure sensor covering the surface of the shell, and a built-in collector, in the circulation process, the sensor collects pressure data applied by the production line equipment in real time; the built-in collector stores data and sends the data to the upper computer processing system in a wireless mode; and the upper computer processing system receives and analyzes the pressure data, judges abnormity according to a preset pressure threshold value and generates a report. By simulating the real stress condition of the battery cell, comprehensive, real-time and automatic monitoring of the pressure state in the production process is realized, the abnormal reason can be accurately positioned, the problems of lack of monitoring means and difficulty in problem tracing in the prior art are solved, the product quality and the production efficiency are effectively improved, and the potential quality hazard is reduced.

The invention discloses an RISC-V vector register pressure-oriented dynamic management method and system, and relates to the technical field of computer processor architecture and compiler optimizing.The method comprises the steps that in the program compiling or executing process, the use state of an RISC-V vector register is monitored in real time, and when it is monitored that the vector register pressure exceeds the limit, the RISC-V vector register pressure is monitored; if yes, selecting a target register and triggering a management strategy; identifying a source instruction of a vector value in the target register, executing heavy materialization validity verification, and dividing the vector value into a heavy materialization type and a non-heavy materialization type according to a verification result; according to a division result, dynamically estimating the heavy materialization cost and the register overflow cost; comparing the two types of costs, and if the heavy material cost is higher, deciding to adopt a register overflow strategy and executing the strategy; and if the overflow cost of the register is higher, a decision is made to adopt a heavy matter strategy and is executed. The computing performance of the processor can be improved, and the problem of performance loss caused by high register pressure is solved.

The disclosed system for interacting with objects in an extended reality (XR) environment generated by an XR system may include (1) neuromuscular sensors configured to sense neuromuscular signals from a wrist of a user and (2) at least one computer processor programmed to (a) determine, based at least in part on the sensed neuromuscular signals, information relating to an interaction of the user with an object in the XR environment and (b) instruct the XR system to, based on the determined information relating to the interaction of the user with the object, augment the interaction of the user with the object in the XR environment. Other embodiments of this aspect include corresponding apparatus, and computer programs recorded on one or more computer storage devices, each configured to perform the actions of the methods.

Methods and systems for water quality assessment are disclosed. The method includes obtaining a first input data indicative of properties of a first liquid sample, the first input data including turbidity data and total suspended solids data for the first liquid sample, where the first liquid sample is acquired from a liquid source. The method further includes determining, using a computer processor and a machine learning model, a first predicted particle-size distribution of the first liquid sample based on the first input data, where particle-size distribution is controlled, at least in part, by a set of dosage parameters configurable by a water quality system. The method further includes determining, with an optimizer applied to the machine learning model, an optimal set of dosage parameters based on the first predicted particle-size distribution and adjusting the set of dosage parameters of the water quality system to the optimal set of dosage parameters.

The invention discloses a low-code automatic generation method based on AI agent collaboration, and relates to the technical field of computer processing, and the method comprises the following steps: S1, receiving a function demand description text input by a user through a natural language; s2, an input analysis agent reads and analyzes the function requirement description text, key information is extracted, and the key information comprises a key intention, an entity object and an operation constraint condition; s3, performing semantic similarity matching in a predefined model library by a model retrieval agent according to the key information, and retrieving and defining a basic generation model with closest semantics; and S4, receiving the basic generation model and the key information by an adaptive modification agent, and performing context semantic understanding enhancement on the basic generation model. According to the method, end-to-end automatic conversion from business demand description to executable codes is realized through natural language understanding and an automatic code generation technology.

The invention relates to the technical field of computer processing, in particular to a Kafka cluster configuration parameter adjusting method and device, equipment and a medium, and is used for relieving problems caused by a fixed change means of code modification. The method comprises the following steps: according to related historical data of a Kafka cluster, predicting a first predicted load index in a future time period through a first time sequence model, and predicting a second predicted load index in the future time period through a second time sequence model; weighting the first predicted load indicator; weighting the second predicted load index; determining a predicted load index according to the weighted first predicted load index and the weighted second predicted load index; determining a plurality of first candidate adjustment actions according to the predicted load index; selecting a first candidate adjustment action from the plurality of first candidate adjustment actions as a first adjustment action; and adjusting a partition allocation index and a copy allocation index of the Kafka cluster configuration parameters by using the first adjustment action.

A system, method, and computer-program product includes obtaining, via an application programming interface (API), a test object that includes application usage data of a deployed AI application for a target time span, executing, in real-time by one or more computer processors, one or more application behavior tests that assess an operational behavior of the deployed AI application, detecting, by the one or more computer processors, that a misbehavior occurred in the deployed AI application during the target time span and one or more deviant features contributing to the misbehavior in response to executing the one or more application behavior tests, and returning, by the one or more computer processors, the one or more deviant features contributing to the misbehavior to a subscribing entity associated with the deployed AI application.

The invention relates to the technical field of computer processing, in particular to a learning strategy generation method, electronic equipment and a storage medium, and the method comprises the steps: obtaining an evaluation result after a target user completes individual ability evaluation; performing multi-modal interpretation processing on the evaluation result, and determining an interpretation video of the evaluation result; the interpretation content of the interpretation video comprises knowledge point mastering condition information of the target user, capability condition information of each evaluation dimension, subject potential prediction information and occupational prediction information; and matching the ability condition information of the target user under each evaluation dimension with the content label of the learning content in the learning resource library to generate a learning strategy. According to the method, the interpretation video with the multi-dimensional interpretation content is provided, the understandability of the user to the evaluation result can be improved, meanwhile, the personalized learning strategy is given, the evaluation result is converted into the action scheme, and the quality of learning development guidance can be improved.

The invention discloses a digital twinning three-dimensional model dynamic synthesis system based on multi-modal feature fusion, and belongs to the technical field of digital twinning, computer processing and three-dimensional reconstruction crossing. Data flow characteristics are divided into high-frequency real-time data flow in a machine tool running state and low-frequency / event triggering data in a machine tool static state, a specific processing fusion path is intelligently selected based on a self-adaptive double-path processing mechanism, a state parameter set for driving a three-dimensional basic model is generated, and the three-dimensional basic model is obtained. The method not only optimizes the dynamic synchronization and prediction of the operation state, but also achieves the modeling and tracking of the static state (such as cooling recovery, maintenance calibration and environmental evolution) of the machine tool, constructs a digital twin system covering the whole scene of operation-shutdown-maintenance of the numerical control machine tool, and supports the real whole life cycle management.

Various embodiments of the present disclosure provide computer processing and optimization techniques for improving keyword generation, real time keyword filtering, and user interface navigation. The techniques may include identifying an interaction code from an interaction data object and receiving a modified candidate keywords list for the interaction code where the modified candidate keywords list is generated by iteratively appending one or more interaction code descriptions of an interaction corpus corresponding to the interaction code to generate a candidate keywords list, and generating the modified candidate keywords list by pruning one or more predefined terms of the domain-specific term corpus from the candidate keywords list. The techniques may include generating an interaction-specific keywords list based on a comparison between the modified candidate keywords list and an interaction description of the interaction data object and initiating the performance of a prediction-based action based on the interaction-specific keywords list.

The invention provides a multi-core processor chip and a storage access method and device of the multi-core processor chip, and relates to the technical field of computer processors, the multi-core processor chip comprises at least one processor core, the processor core comprises a general processor core, a first address space mapping module and a first core interconnection interface, the universal processor core supports high-speed cache consistency; at least one input / output core grain, wherein the input / output core grain comprises a memory interface, a directory, a second address space mapping module and a second core grain interconnection interface; both the first address space mapping module and the second address space mapping module store an address space mapping table, and the address space mapping table stores a mapping relationship between a memory address accessed by a processor core grain and a memory interface of an input / output core grain; the directory stores cache consistency information of the cache blocks corresponding to the memory interfaces of the input / output core grain and other input / output core grains corresponding to the directory.

Systems and methods for intuitive search and recommendation including a content comprehension engine executing on a computer processor and configured to: receive a recommendation request identifying a source content item; generate a first embedding for the source content item in a first embedding space from content metadata and contextual data; apply a trained neural projection model to map the first embedding to a second embedding space, thereby producing a projected embedding; compute, for content item models stored in a repository, a similarity score between the projected embedding and the content item model, each content item model including word-vector collaborative-filtering representations of an available content item; select, based on the similarity scores, a subset of the content item models; and output a result set including the available content items corresponding to the subset and ordered by the similarity scores.

Disclosed herein are system, apparatus, device, method and / or computer program product aspects, and / or combinations and sub-combinations thereof, for using large language models and text embedding models to generate trivia questions. An example aspect operates by a computer-implemented method. The method includes receiving, by at least one computer processor, a category for a plurality of trivia questions and receiving a difficulty level for the plurality of trivia questions. The method further includes using the category to retrieve additional information for the plurality of trivia questions and generating the plurality of trivia questions based at least on the additional information and the difficulty level. The method further includes displaying the plurality of trivia questions on a display device.

The invention discloses a printing color closed-loop control system based on spectral analysis, and relates to the technical field of computer processing, and the system comprises the following steps: S01, collecting the spectral reflectivity data of a plurality of key color blocks on a printed matter measurement and control strip in real time through an online high-speed spectrometer at the frequency of not less than 100 color blocks per second; s02, constructing a color prediction model, wherein the model receives the spectral reflectivity data and outputs absorption scattering characteristics, the spectral transmittance of ink and dot expansion, trapping and overprinting effects in the printing process; s03, setting a dynamic tolerance threshold value delta Et based on a chromatic aberration formula according to the color precision requirement of the printed matter, and judging the absorption and scattering characteristics, the spectral transmittance of the ink and a grading tolerance interval in which the dot expansion, trapping and overprinting effects in the printing process are consistent with visual perception; and S04, converting the spectral reflectivity data acquired in real time into a CIELAB color space irrelevant to equipment, and comparing the spectral reflectivity data with a preset standard color target value. According to the method, the problems of different standards and color drift caused by artificial experience difference and visual fatigue are solved.

The invention discloses an automatic high-precision assembly system and method based on visual feedback, belongs to the technical field of automatic assembly, and solves the problem that an existing scheme is insufficient in the aspects of automatic integration and actual usability. Comprising an embedded control unit, an XYZ Cartesian sliding table, a limiting sensor, a visual sensor, a visual mark and an upper computer processing unit, the embedded control unit is connected with the upper computer processing unit, and the embedded control unit is used for receiving a control instruction and feeding back state information. The embedded control unit is connected with a motor driver of the XYZ Cartesian sliding table and used for sending a motion control signal, and the embedded control unit is connected with the limiting sensor and used for receiving a switch signal. Working space boundary recognition and automatic calibration of the camera-robot hand-eye relation are achieved, the configuration and deployment process of a visual guidance system on the XYZ sliding table is greatly simplified, the requirement for professional skills of operators is lowered, and deployment efficiency is improved.

The invention discloses a three-dimensional space perception and reconstruction system, method and device, a medium and a product, and relates to the field of computer vision, three-dimensional reconstruction and SLAM, and the system comprises a hemispherical compound eye camera array module which comprises a pedestal and a plurality of cameras; the plurality of cameras are arranged on the base in a non-coplanar manner, and the spatial distribution of the plurality of cameras forms a hemispherical curved surface; the optical axis of each camera points to different directions, and the combined view field covers a solid angle greater than 180 degrees; the synchronization and control module is electrically connected with the hemispherical compound eye camera array module and is used for sending hard synchronization signals to all cameras; the computer processing module is connected with the synchronization and control module and used for receiving and processing the image data of all the cameras and executing a three-dimensional space perception and reconstruction method, and the three-dimensional map reconstruction efficiency is improved.

An orientationally flexible bump sensor is disclosed. The system includes at least one bump sensor mounted to a vehicle, the at least one bump sensor comprising at least two axes of measurement. A computer processor is configured to evaluate the at least two axes of measurement to determine which axis of the at least two axes of measurement has a highest magnitude vector and determine a gain value to cause the highest magnitude vector to be approximately 1 g. The computer processor will assign the gain value to the axis with the highest magnitude vector, such that the gain value is applied to each measurement generated by the axis with the highest magnitude vector.

The invention discloses an artificial intelligence model dynamic reasoning method and system based on a consumer-level heterogeneous chip, and relates to the technical field of artificial intelligence and computer processing. The method is operated on a heterogeneous processor integrating a CPU (Central Processing Unit), a GPU (Graphics Processing Unit) and an NPU (Network Processing Unit), by monitoring hardware states such as load, temperature and available memory in real time and combining an AI model hierarchical structure and operator characteristics, reasoning calculation tasks are dynamically allocated to an optimal processing unit, namely, the CPU is responsible for task arrangement and serial logic, the GPU executes large-scale parallel calculation, and the NPU processes and optimizes a neural network layer. And the results are integrated cooperatively. The system adopts a dynamic inference engine, realizes efficient and low-energy-consumption operation of a large-scale AI model on resource-constrained equipment, improves response speed, protects local data privacy, and is suitable for various consumer electronics needing AI capability.

The present description relates generally to methods and systems for power management of a digital (e.g., electronic) stethoscope. In one example, an electronic stethoscope includes a chestpiece configured to be positioned on a patient, the chestpiece including a sensor, wherein the chestpiece further includes a computer processing unit (CPU) operatively coupled to a memory storing instructions that, when executed by the CPU, cause the CPU to automatically activate the electronic stethoscope in response to detecting a touch input via the sensor.

The invention discloses an intelligent mobile robot navigation method for a dynamic environment, and relates to the technical field of computer processing, and the method comprises the following steps: S01, collecting the dynamic environment of a robot in real time through a laser radar, an RGB-D camera and a UWB module, building a robot real-time environment perception model, and carrying out the real-time environment perception of the robot; the robot real-time environment sensing model comprises parameterized description of metal reflection, dynamic obstacles and narrow terrains; s02, determining a plurality of key design parameters of navigation of the intelligent mobile robot; and S03, based on the plurality of key design parameters, constructing an environment perception accuracy objective function of the intelligent mobile robot and a real-time response and scene understanding depth objective function. According to the invention, high-precision environment perception, low-delay path re-planning and safe and efficient navigation are synchronously realized in a dynamic environment through metal reflection interference filtering, dynamic obstacle acceleration pre-judgment and narrow terrain adaptive passing strategies.

The invention provides a data cache access method and device of a multi-core processor, and relates to the technical field of computer processors. The method comprises the following steps: accessing a data cache according to an access instruction, and responding to the access instruction to hit access data and write back the access data, or responding to the access instruction to not hit the access data, fetching back-filling data from a memory access failure queue and forwarding the back-filling data to the access queue. Accessing the data cache according to the data storage instruction, writing the stored data into the data cache in response to the access hit of the data cache, or calling a stored data retransmission unit in response to the access miss of the data cache; and sending a data storage failure request to the memory access failure queue, and taking back the backfill data and / or authority by the memory access failure queue. According to the method, the flexibility of the processing mode of the data cache access pipeline on the memory access instruction and the external consistency request can be improved, the access parallelism degree is improved, and the hardware resource utilization rate of the processor is increased.

The invention relates to an unmanned aerial vehicle towed body positioning attitude measurement method based on binocular vision positioning, and relates to the technical field of computer processing, and the method comprises the following steps: S01, constructing a measurement system which comprises an unmanned aerial vehicle and a towed body connected with the unmanned aerial vehicle through a cable; the unmanned aerial vehicle carries a GNSS module, an IMU module and a binocular camera, and the upper surface of the towed body is provided with a coding pattern and carries a sonar sensor; s02, establishing a towed body coordinate system by taking the acoustic center of the sonar sensor as an original point, obtaining three-dimensional coordinates of feature points on the towed body in the towed body coordinate system, and generating a three-dimensional space model operation simulation model of the towed body; and S03, the binocular camera is calibrated. According to the invention, the problem of underwater topographic survey of a near-shore high-flow-velocity turbid water area is solved, and high-efficiency, low-cost and high-precision surveying and mapping operation is realized.

Processors configured to execute instructions to enable more efficient computation of distances, collisions, and other common engineering tasks, including instructions to share register values among threads executing in a partition of the processor, instructions to compute a distance between surfaces of a sphere, and instructions to obtain identifiers of threads associated with minimal or maximal values of local registers.

A computer processor may include a number of cores, a shared cache shared among the cores, and a local cache associated with each core and used by that core only. Input data for a neural network (NN) layer may be partitioned into a set of tiles of size T×T, and the tile set may be partitioned into blocks of R tiles. For each block, a core may perform a transform operation on the tiles to produce transformed data matrices fitting in a local cache, and a set of multiply operations, each multiply operation using a transformed data matrix and a transformed kernel matrix from a set of transformed kernel matrices. The set of transformed kernel matrices may fit in the shared cache. The result of at least one of the multiply operations may be stored in a location used to store a transformed data matrix.

A method and system for building and implementing a meta-machine learning (meta-ML) optimization engine for a neural network (NN) or a machine learning (ML) connective model. A computer processor may iteratively simulate a backpropagation algorithm by executing a sequence of optimization steps. At each optimization step a position of a loss function may be determined that may be closer than a previously determined position of the loss function to a local minimum. A computer processor may compute and store after each iteration a detachment of the loss function, learning rate, and optimal learning rate. A computer processor may train a machine learning connective model to model the optimal learning rates of the simulated backpropagation algorithm. The meta-ML optimization engine may be implemented for a NN or ML connective model by generating a modified backpropagation algorithm in which algorithmic features of gradient descent may be replaced by the meta-ML optimization engine.

A system and method for channel layout evaluation including: a computer processor and a channel detective service executing on the computer processor and including functionality to: receive a request to perform channel layout evaluation on a media item including a provided set of channels; perform metadata extraction on the media item to generate a metadata representation of the media item and to identify at least one channel layout discrepancy of the provided set of channels; perform layout detection using the metadata representation by executing a similarity model configured to generate a mix group comprising at least a subset of the provided set of channels, annotating a primary language of the mix group, and annotating a service type of the mix group; and updating the metadata representation with the annotated mix group, wherein the updated metadata representation is provided for streaming the media item.

A method of creating a SMARTPASS with computed estimated value including, a SmartHub computer processor system and data network, method including: receiving electronic requests to validate / authorize members and a purchase reporting request from a buyer and a financing request from a supplier engaged in a trade transaction over the network; determining if the electronic requests from the buyer and supplier are authorized, if so, creating the SMARTPASS with computed estimated value on the purchase reporting request; saving / minting the SMARTPASS as a non-fungible token, assigning an initial NFT value; computing the estimated value, tariff, taxes, or other fees; updating a database of the SMARTPASS, NFT, and initial NFT value with updated value; determining if financing requested, and if so: posting an NFT proxy to a second blockchain public NFT repository, notifying parties of financing options, and notifying FinTech, DeFi or decentralized Lenders; or if not notifying FinTech, DeFi or decentralized Lenders.

A system may store information about a user's condition in a standardized format in a set of one or more non-transitory storage devices, wherein the information about the user's condition represents a user activity pattern of a user; receive sensor data from a plurality of different sensors; update, by a computing system comprising one or more computer processors, the information about the user's condition in the standardized format based on analysis of the sensor data to generate updated information about the user's condition, wherein the updated information about the user's condition indicates a change in the user activity pattern of the user; store the updated information about the user's condition in the set of one or more non-transitory storage devices, and generate, by the computing system, a message comprising the updated information about the user's condition.