591 results about "Computer memory" patented technology

According to an aspect of the present invention, there is provided an electrical audio signal processing system and device, comprising: a computer graphics processing and selective visual display system with a screen; an eye tracking device; a processor; one or more computer memory devices; wherein the processor is arranged for operations comprising: measuring the user's eye movements to ascertain the specific word on which the user is fixated, by the eye tracking device; modifying the display at the user's current fixation point; applying a delay between the presentation of successive graphic elements based on the user's calculated rate to accommodate the user's required time; and presenting elements to the user at a rate based upon the user's required time.

The invention relates to the technical field of computer storage, and discloses a computer memory data processing system, which comprises the following modules: an intelligent cache prefetching module, which is used for predicting a future memory access address based on deep learning and reinforcement learning technologies and loading data into a cache in advance; the heterogeneous storage management module is used for dynamically classifying the data based on the data popularity value and realizing migration of the data among different storage media; and the storage consistency guarantee module is used for managing the data consistency among different storage layers through the improved MES I protocol. Cache prefetching is optimized by introducing deep learning and reinforcement learning technologies, and by predicting a future memory access address in real time and loading data in advance, the system effectively reduces the cache missing rate, improves the cache hit rate, remarkably reduces the memory access delay, and improves the memory access efficiency. And the system can keep more efficient data access performance in a large-scale data processing scene.

Disclosed herein are system, apparatus, device, method and / or computer program product embodiments for providing a mid-stream deposit availability schedule to a customer electronically depositing a check. The deposit availability schedule is generated by activating a mobile financial application, receiving a customer request to deposit a financial instrument, and based on the customer request, activating a camera on the client mobile device to access a field of view of at least one camera and capture one or more images of a financial instrument, store, in a computer memory on the client mobile device, the one or more images. An optical character recognition program, resident on the client mobile device, extracts in real-time, one or more data fields from one or more portions of the financial instrument, communicates the one or more data fields to a remote deposit server and receives a deposit availability schedule, before acceptance of the remote deposit.

The invention discloses a computer memory bank fault prediction method and system based on deep learning, and relates to the technical field of computer hardware fault diagnosis, and the system comprises a multi-source time sequence data collection module which is used for obtaining memory bank operation state data in real time; the dynamic feature enhancement module is based on a composite architecture of a generative adversarial network and transfer learning, comprises a fault mode generator, and generates synthetic data consistent with real fault distribution by using an LSTM network; aligning feature spaces of different hardware platforms through a maximum mean difference loss function; the multi-modal fusion deep learning model comprises a space-time convolutional network, a graph attention network and an adaptive weight adjustment mechanism; and the fault early warning analysis module is used for analyzing a fault probability predicted value, an interpretable thermodynamic diagram and a maintenance suggestion. According to the invention, passive maintenance is changed into active prevention and control, and preposition and precision of fault management are realized through dual mechanisms of long-term trend prediction and short-term risk early warning.

A computer-implemented system, computer-implemented method, and computer-program product includes receiving, via a graphical user interface, a request to generate an initial design of experiment plan based on one or more experiment factors; generating a first plan settings container object that represents the initial design of experiment plan in computer memory; and instantiating, within the graphical user interface, a plan explorer section that includes a plan settings graphical entry that displays a graphical representation of a plan factors data object and a plan model data object associated with the first plan settings container object.

The invention discloses a numerical simulation method for a semiconductor device based on spatial discretization and uncoupling iteration. The method comprises the following steps: establishing a basic equation set of the semiconductor device; spatial discretization is carried out on the non-uniform hexahedral mesh; discretizing the current equation to obtain a drift diffusion model equation set in a three-dimensional discrete format; and sequentially solving each equation in the drift diffusion model equation set by adopting a Gummel uncoupling method. According to the semiconductor device numerical simulation method based on spatial discretization and uncoupled iteration provided by the invention, a semiconductor partial differential equation is subjected to three-dimensional spatial discretization by adopting an FDM method, and a large-scale nonlinear equation set is solved by adopting a Gummel uncoupled iteration method, so that physical characteristics and internal physical images of the device are obtained; the occupied computer memory is relatively low, the method is not sensitive to an initial value, and the simulation speed is greatly improved.

A computer system for automatically generating cognitive exercises includes a computer memory that can store a memory list comprising subjects that a user has difficulty to remember, wherein the computer memory can store personal data associated with the user, and computer processors in communication with the computer memory can execute a cognitive exercise computation agent and a large language model responsive to the cognitive exercise computation agent. The cognitive exercise computation agent can retrieve the memory list and the personal data associated with the user from the computer memory. The cognitive exercise computation agent can produce generated cognitive exercises using the large language model under constraints of the memory list and the personal data associated with the user.

The invention relates to the technical field of industrial computer heat dissipation, in particular to an industrial computer memory and storage collaborative heat dissipation system which is used for solving the problems that in the prior art, temperature distribution modeling and state evaluation cannot be achieved, thermal state categories cannot be divided by integrating a temperature threshold value and an operation state, and the equipment health judgment accuracy is reduced. According to the invention, a temperature control monitoring module constructs a thermal field model by using operation state and thermal behavior data, divides hardware units, establishes a heat conduction path, realizes temperature distribution modeling and state evaluation, calculates thermal power density through standardized parameters, and solves steady-state temperature by using a numerical method in combination with boundary conditions and a cooling model. Structured temperature information is output, a temperature threshold value and an operation state are integrated to divide thermal state categories, and the equipment health judgment accuracy is improved.

Methods, systems, and non-transitory computer readable storage media are disclosed for optimizing computer memory usage for lookup lists in computer memory via probabilistic data structures. For example, the disclosed system generates a probabilistic data structure (e.g., a Bloom filter) to represent data in a lookup list including multi-token items by hashing items of the lookup list to sets of bit values in a bit vector. The disclosed system classifies text content in a digital document by utilizing a maximum number of tokens from multi-token items in the lookup list to select and compare sets of sequential tokens in the digital document to the probabilistic data structure. The disclosed system also iteratively reduces the number of tokens in sets of sequential tokens for subsequent comparisons. Furthermore, in some aspects, the disclosed system causes a computing device to modify a digital document and / or database operations based on the classifications.

A method of processing medical implant device data for preoperative patients, the method including storing, by a computer memory, a first list of medical implant devices. The method assigning, by a processor in communication with the computer memory, one or more device-variables to each of the plurality of medical implant devices, and storing, by the computer memory, one or more queries assigned to the one or more device-variables. Further, connecting a client computer with the processor and transmitting to the client computer the one or more queries. Receiving, by the processor, one or more data inputs from the client computer in response to the one or more queries. Generating, by the processor, a second list of medical implant devices as a function of the one or more data inputs received, and transmitting the second list of medical implant devices to the client computer.

A method includes storing a database comprising a plurality of pointers to web pages and identifiers of entities associated with the plurality of pointers; receiving a first request comprising a first identifier; identifying subset of the plurality of pointers from the database responsive to each pointer of the subset having a stored association with a first identification that matches the first identifier; responsive to identifying the subset of the plurality of pointers, establishing, via one or more pointers, a connection with a server hosting a set of web pages associated with the subset of the plurality of pointers; retrieving one or more images or videos from each of the set of web pages over the established connection; calculating a performance score for each of the one or more images or videos; and generating a record identifying the performance score for each of the one or more images or videos.

An embodiment includes a robotic welding system for generating a motion program, having a programmable robot controller of a robot having a computer processor and a computer memory. The programmable robot controller is configured to digitally record, in the computer memory, a plurality of spatial points along an operator path in a 3D space taken by a calibrated tool center point (TCP) of the robot as an operator manually moves a robot arm of the robot along the operator path from a start point to a destination point within the 3D space. The programmable robot controller is also configured to identify and eliminate extraneous spatial points from the plurality of spatial points as digitally recorded, leaving a subset of the plurality of spatial points as digitally recorded, where the extraneous spatial points are a result of extraneous movements of the robot arm by the operator.

A cache writeback circuit is disclosed for writing back, without invalidating, dirty cache lines. The cache writeback circuit is configured to enter an active state based on detecting a trigger condition indicative of cache misses to a memory cache circuit within a memory hierarchy of a computer memory subsystem causing cache line eviction activity. During the active state, the cache writeback circuit is configured to identify a set of dirty cache lines in the memory cache circuit, and write back, without invalidating, cache lines of the identified set of dirty cache lines from the memory cache circuit to a memory circuit within a lower level of the memory hierarchy, such as DRAM. The cache writeback circuit may further be configured to identify the dirty cache lines via a cache walk operation, which can be suspended, for example, when a higher-priority cache operation occurs.

A system can determine that a first containerized function invokes a second containerized function. The system can identify a first number of instances of the first containerized function, and a second number of instances of the second containerized function. The system can determine a first cost of executing the first number of instances of the first containerized function, and the second number of instances of the second containerized function, wherein the first cost comprises a first computer memory cost, a first computer storage cost, and a first service level agreement violation cost. The system can determine a second cost associated with executing a third number of instances of a third container that comprises the first function and the second function. The system can, in response to determining that the second cost is less than the first cost, execute the third number of instances of the third container.

One aspect of the present specification provides wireless communication device in a wireless communication system. The wireless communication device includes: at least one transceiver; at least one processor; and at least one computer memory operably connectable to the at least one processor and storing instructions that, based on being executed by the at least one processor, perform operations comprising: receiving, via the at least one transceiver, sidelink signal based on a NR operating band n38 or a NR operating band n47, and wherein predefined reference sensitivity value, which is based on the NR operating band n38 or the NR operating band n47, is applied to the at least one transceiver.

In accordance with one aspect of the inventive concepts, provided is a robotic vehicle comprising at least one processor in communication with at least one computer memory device, a navigation system operatively controlling a drive system to navigate the mobile robot along a predetermined path, at least one sensor configured to acquire real-time sensor data, and a dynamic path adjust system comprising computer program code executable by the at least one processor to cause the navigation system to at least partially and / or temporarily deviate from a current path by generating a dynamically determined path or path segment based on the real-time sensor data and / or an indication in the current path to switch to dynamic path adjust. The robotic vehicle can be configured to switch path to a current and / or original path after executing a dynamically determined path adjustment. A corresponding method is also provided.

Embodiments relate to a system for processing glucose data by efficient glucose database management. The system includes a physical data store containing glucose measurement data and a representation for at least one cluster of the glucose measurement data, wherein the representation approximates a glycemic profile vector array for a cluster of multiple glucose profiles segmented by plural time ranges. The system includes a processor and computer memory configured with instructions stored thereon that when executed will cause the processor to: 1) receive glucose measurements; 2) convert the glucose measurements into vectorial form; 3) search the physical data store by comparing a newly received glucose measurement to a centroid of a cluster using a similarity metric; 3) classify the newly received glucose measurement with a cluster having a matched similarity metric based on the comparing; and 4) ascribe a treatment to the newly received glucose measurement.

This description describes a system for identifying individuals within a digital file. The system accesses a digital file describing the movement of unidentified individuals and detects a face for an unidentified individual at a plurality of locations in the video. The system divides the digital file into a set of segments and detects a face of an unidentified individual by applying a detection algorithm to each segment. For each detected face, the system applies a recognition algorithm to extract feature vectors representative of the identity of the detected faces which are stored in computer memory. The system applies a recognition algorithm to query the extracted feature vectors for target individuals by matching unidentified individuals to target individuals, determining a confidence level describing the likelihood that the match is correct, and generating a report to be presented to a user of the system.

In accordance with one aspect of the inventive concepts, provided is an autonomous mobile robot (AMR), comprising: at least one processor in communication with at least one computer memory device; at least one 3D sensor configured to collect 3D sensor data of an object; and a fixed scale image processing module configured to receive the 3D point cloud data; transform the 3D point cloud data into at least one fixed scale (FS) image; detect, identify, and localize the object in image space of the at least one FS image; select a plugin associated with an object type of the object; and apply the plugin for 6D (degrees of freedom) pose estimation of the object in real-world space to localize the object. In various embodiments, the object can be any type of forkable object, but in other embodiments the object need not be a forkable object.

A system for generating an extended-reality environment may include a head-mounted display configured to be worn by a user, a non-transitory computer memory, and a processor configured to execute computer-readable instructions. The processor may be configured to generate a floorplan of the extended-reality environment. The processor may also be configured to customize the extended-reality environment based on user input. The processor may also be configured to receive input from a user indicating a selection of a product within the extended-reality environment, whereupon the processor may be configured to generate one or more display options in the extended-reality environment.

The invention discloses a processing analysis system and method based on information data storage, and relates to the technical field of information processing. Comprising an NAS server, a network switch and a computer group, the computer group is formed by connecting a plurality of computers with the network switch, the NAS server comprises an HDD hard disk array, a processor, an SSD read cache and an SSD write-in cache, the data storage mode of the HDD hard disk array is RAID10, the HDD hard disk array exchanges data with the computers in the computer group through the network switch, and the processor is connected with the SSD read cache and the SSD write-in cache. According to the method, the idle computer memory and the idle computer hard disk are used for balancing the continuous read-write requirement which cannot be met by the NAS server, the upper limit of the data read-write redundancy performance of the NAS server is improved, the computer memory and the computer hard disk are evaluated and graded, the data read-write redundancy performance of the NAS server is improved, and the storage capacity of the SSD read cache and the storage capacity of the SSD write cache are consistent. The read-write performance response speed outside the NAS server can be improved, and the read-write experience of the computer group is optimized.

A method and system for geometrical and topological information analysis for an explainable damage assessment are developed. The system stores pre-disaster and post-disaster point cloud data in computer memory which is connected to a server via a network. The portions of the pre-disaster and post-disaster point cloud data corresponding to the regions of interest are segmented out using geometrical analysis. Features based on topological data analysis techniques for these portions are extracted and stacked as the index reflecting the innate geometrical and topological properties for potential damage assessment. A collection of classifiers are trained to group the damage levels for each region of interest. The damage assessment results identified by the classifiers and a set of explainable items justifying the classification results are reported to a human-readable device.

The invention discloses a computer memory bank aging test system, and relates to the technical field of computer hardware test.The computer memory bank aging test system comprises the steps that grids are divided on the surface of a PCB, coordinate datum points are printed in a silk-screen mode, the temperature of each grid is collected in real time through a thermal imager, and an average temperature and smooth gray value sequence is constructed; an amplitude spectrum standard deviation of a smooth gray value is extracted through FFT transformation, ASI is calculated in combination with kurtosis and skewness, a thermodynamic diagram is generated according to the aging degrees of different grids, a three-stage ASI change rate sequence is analyzed based on an LSTM model, and therefore the life cycle stage and the aging type of the computer memory bank are judged. According to the invention, the aging evaluation precision of the memory bank is improved through multi-dimensional data fusion, the maintenance cost of the memory bank can be reduced, and the system reliability is improved.

The present invention discloses an electric energy monitoring and control circuit system for each power output port of a PDU device, including a first step-down and voltage stabilization circuit unit, and the first step-down and voltage stabilization circuit unit outputs a first power supply; a second step-down and voltage stabilization circuit unit, and the second step-down and voltage stabilization circuit unit outputs a second power supply; a microprocessor, and the microprocessor can be electrically connected to a computer, a memory, and an external terminal device; a power supply and digital signal isolation circuit, and the first power supply output by the first step-down and voltage stabilization circuit unit is simultaneously electrically connected to the power supply and digital signal isolation circuit and the microprocessor, and the second power supply output by the second step-down and voltage stabilization circuit unit is electrically connected to a bus circuit in the power supply and digital signal isolation circuit; a main circuit metering module, and the main circuit metering module is electrically connected to the second power supply on the power supply and digital signal isolation circuit; a branch circuit metering module, and the branch circuit metering module is electrically connected to the second power supply on the power supply and digital signal isolation circuit and the main circuit metering module.

An online software development platform providing an integrated resource for design, development, and purchase of customer-desired software applications for software projects created by customers. The platform comprising one or more computers configured using computer readable instructions stored in non-transitory computer memory to provide the software development platform, wherein the software development platform is configured to implement a plurality of electronic operational domains providing user-interactive capabilities or internal functionalities of the software development platform. The domains comprising a project scope process, a pricing process, and a project development process. The platform is configured to use a configuration involving knowledge graph to recommend features.

There is provided a UE in a wireless communication system, the UE comprising: at least one transceiver; at least one processor; and at least one computer memory operably connectable to the at least one processor and storing instructions that, based on being executed by the at least one processor, perform operations comprising: receiving downlink signal from a base station, wherein power class of the UE is power class X, which is for a vehicular UE configured to use an operating band including frequency range over 60 GHz, wherein the frequency range around 60 GHz is included in a frequency range of 52.6 GHz to 71 GHz, wherein the at least one transceiver is configured to satisfy a RF requirement for the power class X, wherein the RF requirement for the power class X includes at least one of EIS spherical coverage, or a reference sensitivity.

The invention discloses a computer memory bank aging test device and method, and belongs to the field of memory bank testing. A computer memory bank aging test device comprises a test box, and the top of the test box is provided with a box cover. A filter screen is fixedly connected to the bottom of the outer side wall of the air inlet pipe and used for filtering dust in air; the zeolite ring is used for absorbing water in the air and heating the air after absorbing the water; and a heating net. According to the invention, the memory bank and the test board can be uniformly and effectively heated, and the temperature uniformity of all the memory banks and the test board is ensured, so that the accuracy of an aging test on the memory bank is ensured, and moisture in the air is prevented from entering the test box and adhering to the connection part of the memory bank and the slot, so that the test efficiency is improved. The problem that the memory bank and the slot are in poor contact due to the fact that the memory bank is in contact with the slot is solved, the memory bank is well protected, the service life of the memory bank is guaranteed, and therefore the efficiency and quality of the aging test of the memory bank are guaranteed.

There is provided a UE in a wireless communication system, the UE comprising: at least one transceiver; at least one processor; and at least one computer memory operably connectable to the at least one processor and storing instructions that, based on being executed by the at least one processor, transmitting uplink signal to a base station, wherein power class of the UE is power class X, based on that the UE is a vehicular UE configured to use an operating band including frequency range around 60 GHz, wherein the at least one transceiver is configured to satisfy a RF requirement for the power class X, and wherein the RF requirement for the power class X includes at least one of minimum peak EIRP, maximum output power, or spherical coverage.

The invention discloses a monitoring device, system and method for a flood prevention and drainage tunnel of a tailings pond, and relates to the technical field of safety monitoring and disaster prevention and control of mine tailings ponds.The monitoring device comprises a sensor monitoring module, a data receiving module, a data processing module and a data processing module, the system comprises a data receiving module used for receiving resistivity and acoustic emission data of a flood prevention and drainage tunnel, a signal storage and emission module used for collecting the resistivity and acoustic emission data, and a computer which is connected with the data receiving module, is placed above a flood prevention and drainage tunnel portal, can store the data and transmits signals to a monitoring center through wireless emission. The data are stored in a computer memory of a monitoring center; according to the monitoring device, system and method for the tailing pond flood prevention and drainage tunnel, continuous monitoring of the change process of internal damage of tunnel concrete is achieved, and the problem that quantitative diagnosis cannot be achieved through an existing method is effectively solved.

A computer system for assisting users to remember words during conversations includes a computer memory that stores stuck markers that indicate a user forgets a word in a conversation, wherein the computer memory stores a list of stuck words that the user often forgets during conversations. The processors can execute a conversation computation agent and a large language model responsive to the conversation computation agent. The conversation computation agent can receive a conversation conducted by the user, the conversation comprising a stuck episode in which the user forgets a word or a phrase, The large language model can detect the stuck episode in the conversation based on the stuck markers stored in the computer memory. The large language model can generate the word or the phrase forgotten by the user in the stuck episode based on the list of stuck words and the context in the conversation.