299 results about "User defined" patented technology

Systems, methods, and apparatuses for providing optimization of network resources. The system is operable to monitor the electromagnetic environment, analyze the electromagnetic environment, and extract environmental awareness of the electromagnetic environment. The system extracts the environmental awareness of the electromagnetic environment by including customer goals. The system is operable to use the environmental awareness with the customer goals and / or user defined policies and rules to extract actionable information to help the customer optimize the network resources.

The invention provides a universal method for realizing multi-condition and search based on LDAP, and belongs to the technical field of data retrieval of directory service and identity management. A user defines query conditions including attributes, values and logical relationships through a configuration file, a visual interface or an interface; the system parses the query condition model into a query condition model supporting nested combination of AND, OR and NOT by using a parser, and performs legality check and error prompt; and then a generator dynamically generates a filtering statement conforming to the LDAP grammar specification according to the model, and query is executed through an LDAP client. In order to improve the performance, common condition caching and high-frequency statement pre-compiling optimization are introduced, and an asynchronous query mode is supported. And the query result is returned in the form of structured data, and is matched with a display interface to support screening, sorting and exporting, so that the flexibility and maintainability of multi-condition query are improved.

A programmable semiconductor system includes a programmable integrated circuit (“PIC”) and storage capable of facilitating a multi-boot with backup default configuration (“MBC”) process. The PIC, in one embodiment, includes a dual-mode port (“DMP”), configurable logic blocks (“LBs”), routing connections, and a configuration memory for providing configuration data to facilitate user-defined logic functions. The DMP, in one aspect, is operable to handle the configuration data during a configuration mode. Alternatively, the DMP is operable to handle the user data during a logic operation mode. In one aspect, the user configuration data contains the address of the second memory containing DCD.

Embodiments provide a generative AI creation framework to a customized generative AI stack using a foundational model (such as GPT) based on user-defined prompts, a natural language description of the task to be accomplished, and domain adaptation. In one embodiment, organization-specific knowledge may be injected into either the prompt and / or the foundational model. In this way, the customized generative AI stack thus supports a full spectrum of domain-adaptive prompts to enable a full spectrum of personalized and adaptive AI chat applications.

The invention relates to the technical field of hardware design, in particular to a differential wiring verification method for a PCB and electronic equipment, and the method comprises the steps: determining a differential wiring topology model in response to an obtained PCB design file; acquiring an electrical rule defined by a user, and performing geometric verification based on the differential routing topology model and the electrical rule to position geometric violation points; performing integrity analysis on a preset key structure in the differential routing topology model to determine a signal distortion risk point; and generating a visual view according to the geometric violation points and the signal distortion risk points. The method has the advantages that hard geometric violation and hidden electrical risks of differential wiring in PCB design are found, and verification accuracy and design reliability are remarkably improved.

A method for generating perspective(s) of a knowledge graph includes receiving the knowledge graph from a database, wherein the knowledge graph includes vertices at least partially connected together by edges; generating a property graph of the knowledge graph, including vertices at least partially connected together by edges; creating metagraph transformation(s) to be executed on the property graph for generating perspective(s) of the knowledge graph, wherein each metagraph transformation is lazily evaluated on the property graph; validating at least one metagraph transformation based on the lazy evaluation of on the property graph against a set of user-defined schema configurations; detecting a set of errors in the at least one metagraph transformation, if the at least one metagraph transformation is not successfully validated against the set of user-defined schema configurations; and displaying the set of errors to a user for adjusting the at least one metagraph transformation

A system is used to perform systems modeling related to at least agriculture. The system can include a memory unit that stores executable instructions wherein the instructions can be used to perform systems modeling. The system can obtain, store, and use historical data related to agricultural scenarios. The system can further generate and / or display a human machine interface wherein a user can enter input to tailor the input data based on the preferences and / or assumptions of the user. The system is further configured to perform a simulation based on the user-defined input data. The system can then provide and / or display the results of the simulation as output data The output data can include predicted and / or projected outcomes based on the input data wherein said outcomes can include agricultural information, market information, environmental information, and / or farm management information. The disclosure allows for accurate modeling of complex systems.

Systems and methods provide a flexible environment for intelligently scoring transactions from data sources. An example method includes providing a user interface configured to generate a rubric by receiving selection of one or more one or more conditions, each condition identifying a tag generated by a classifier in the library of classifiers and for each identified tag, receiving selection of a value for the tag that satisfies the condition and receiving selection of an outcome attribute for the condition. The outcome attribute may be a weight for the tag or an alert condition. The method includes storing the rubric in a data store and applying the stored rubric to scoring units of a transaction. The method also includes aggregating scores for transactions occurring during a trend period and displaying the trend score. In some implementations, at least one classifier in the library is a rule-based classifier defined by a user.

The invention pertains to a system for the extraction of information from documents, in particular natural language documents, the system comprising an encoder with a neural network; and a retriever that is configured as a reasoning engine. The system is configured such that it supports user-defined queries for at least two pieces of information; the encoder is applied to the documents, in particular the natural language documents, to generate document encodings; the user-defined queries, to generate encoded instructions; the document encodings are queried by the retriever in lookup steps based on the encoded instructions.

Various measurement systems and methods are disclosed to enable characterizing the optical characteristics of light beams emitted by a light detection and range finding (LIDAR) system or sensor and evaluating the range finding function of user selected lidar channels while the lidar operates under a real operational condition and is exposed to a range of user defined environmental conditions.

A computer system is presented configured and operable as a library constructor for use in extracting one or more parameters of a patterned structure from real time measured data obtained on said structure. The system comprises: data input utility for receiving input data comprising preliminary measured data obtained from at least a part of a structure, and comprising data indicative of user-defined quality of measurement results (QOR); and a data processor.

The invention provides an asset combination optimization method which can be applied to the field of artificial intelligence. The asset combinatorial optimization method comprises the steps of obtaining a to-be-processed asset set, wherein each asset corresponds to a group of structured attribute data; receiving an optimization target and a business rule constraint defined by a user; constructing a mixed integer linear programming model according to the attribute data, the optimization target and the business rule constraint; wherein the optimization target is converted into a target optimization function of the model, and the business rule constraint is used as a linear constraint condition of the model; selecting a target engine from at least two mutually independent and pluggable optimization solution engines, transmitting the mixed integer linear programming model to the target engine for solution operation, and obtaining a final assignment result of the binary decision variable; and based on the final assignment result, screening out asset subsets conforming to business rule constraints, and forming an optimized asset combination. The invention further provides an asset combinatorial optimization device and equipment, a storage medium and a program product.

Provided are a method and system for digital user identification in use of corresponding personally identifiable information (PII) as an instrument of verifying the identification. For one or more iterations of execution of the method and system, aggregated user data obtained by a server and corresponding to a digital user defines a digital profile confirmed for PII transacted at the time of the aggregation. Accordingly, and when one or more components of the profile are inspected for deviation thereof relative to the profile, as confirmed, legitimacy of the digital user identification is determined.

Embodiments described below include a method for calibrating a digital twin, the digital twin being representative of a complex system governed by a set of parameters. The method includes receiving a subset of data from a plurality of sensors of the complex system then calculating an error that represents a difference in state between the digital twin and the complex system. In addition, a gradient of the calculated error is calculated and utilized to generate a set of candidate parameters for the complex system. The candidate parameters are generated using a gradient optimization. The candidate parameters are provided to the digital twin model and the error value is based on the candidate parameters. Steps may be repeated iteratively including calculating of the error and its gradient, generating of the candidate parameters, and applying the candidate parameter to the digital twin until the calculated error is smaller than a user-defined tolerance.

The invention provides a vehicle configuration updating method, system and device, a medium and a program product, and relates to the technical field of vehicles or the technical field of Internet of Vehicles. The method is applied to a vehicle, the vehicle comprises a vehicle-mounted telematics terminal T-box agency, and the method comprises the following steps: reporting actual access point routing table configuration of a T-box in the vehicle to a cloud through the T-box agency; the cloud supports a user to define an expected access point routing table configuration of the T-box; the target state of the target configuration is acquired through the T-box proxy, the target configuration comprises any one or more configuration contents in the access point routing table configuration of the T-box, and the target state of the target configuration is issued when the cloud determines that the actual state of the target configuration in the T-box is inconsistent with the expected target state; the target state indicates an expected target of target configuration defined in the cloud; and updating the access point routing table configuration of the T-box based on the target state of the target configuration. Based on the method, the real-time and dynamic updating of the access point routing table configuration can be realized.

Methods and systems for managing inheritance of resources are disclosed. The method performed by a processor includes receiving inputs related to a plurality of resources and at least one corresponding assignee via an application. The plurality of resources is associated with at least one user. The method includes assigning a label based on mapping each resource and the at least one corresponding assignee. Further, the method includes monitoring parameters related to the at least one user. The parameters include health-related metrics, location data, and user activity data of the at least one user. Furthermore, the method includes determining a status of the at least one user based on the parameters. The method further includes determining a trigger condition defined for the at least one user based on the status of the at least one user. The method includes transmitting inheritance information including the plurality of resources to the corresponding assignee.

The invention provides a PLC code generation method. The method comprises the following steps of obtaining a process formula file defined by a user; the process formula file comprises a multi-layer structure, and the multi-layer structure comprises a variable definition layer, a step execution layer, a process jump layer and a process arrangement layer; extracting data from each layer structure of the process formula file to generate universal structured data; and obtaining a target PLC template, and filling the structured data into a corresponding position of the target PLC template to generate a target PLC code. The invention further provides a corresponding PLC code generation device. According to the PLC code automatic generation method based on the structured process formula file, standardized batch input of process logic and cross-platform code adaptation are achieved, the development efficiency is improved, the system flexibility is enhanced, and the maintenance cost is reduced.

Apparatus and associated methods relate to a multi-mode multi-phase power control circuit (MMPC). In an illustrative example, the MMPC includes a scalable power phase (SPP) and at least one main power phase (MPP). The SPP, for example, may include a scaled inductor configured to enhance power efficiency in a low power mode. A power controller operably connected to the SPP and the MPP may generate a control signal to the SPP as a function of a user-defined scaling model including an output current scaling factor associated with a current mode of operation. For example, the SPP may be configured as a function of the scaling model, as a full current phase, a partial current phase, or a minimal current phase. Various embodiments may advantageously provide independently regulated power phases having a predetermined fraction of a current output of the MPP.

The present disclosure relates to a system and a method for generating echo traces for a number of display areas. An antenna (316) receives echo information (317) from source waves (252) at a ship (202) from a target object (204). A processing circuit (406) is configured to generate several processed echo information sets from the received echo information (317). The received echo information (317) corresponds to a first display area of ​​a display unit (304). The plurality of processed echo information sets, comprising a plurality of echo traces (ET(1), ET(2), ... ET(N)) of the target object (204), is stored in at least one memory module (602, 408). An echo trace from the plurality of echo traces (ET(1), ET(2), ... ET(N)) is selected by a selection module (410) based on a second display area defined by a user.A synthesizer module (412) synthesizes a display output (334) based on the selected echo track.

A system contains a field-programmable gate array (“FPGA”), a controller, and a non-volatile memory (“NVM”) for providing user-defined logic functions. In one aspect, the controller, having a serial peripheral interface (“SPI”) port, is capable of processing information based on execution of instructions. NVM, having a memory SPI port, is configured to store configuration data persistently. FPGA includes multiple configurable logic blocks (“LBs”) configured to be selectively programmed to perform one or more user-defined logic functions in accordance with the configuration data. FPGA, in one embodiment, includes a master SPI (“MSPI”) port which is used to couple to the memory SPI port of NVM and a slave SPI (“SSPI”) port which is used to couple to SPI port of controller.

The invention discloses a semiconductor production business report calculation method, system and device and a medium, and the method comprises the steps: receiving a report calculation request defined by a user through a real-time dispatching system platform, wherein the report calculation request comprises a data query mode and calculation logic of an output index; deploying a plurality of calculation service instances based on evaluation of report data scale and calculation complexity; splitting the report calculation request into a plurality of sub-requests, and distributing the sub-requests to each calculation service instance through a load balancing mechanism; in each calculation service instance, output indexes are calculated in parallel by adopting a memory calculation mode, including preloading dependent data to a memory when a system is started, and a parallel architecture is adopted to calculate a plurality of indexes at the same time; and the calculation results of the calculation service instances are inserted into the same data table of the database management system, so that uniform output and integrity of data are ensured. According to the method, the problems of too long time consumption and performance bottleneck of complex report calculation are effectively solved.

A computer system and method for simulating one or more anatomical features of a simulated patient for application with a simulated medical scanning procedure. A medical scanning procedure by a medical scanning device is digitally simulated on a user selected simulated patient, wherein the user defines one or more anatomical features associated with the user selected patient. A computer display is generated enabling user selection of a certain simulated patient, including user selection of one or more anatomical features associated with the user selected simulated patient, for medical scanning simulation with a simulated medical scanning device. Simulation further includes digital simulation of injection of dye material into the simulated patient for application with a simulated medical scan requiring use of dye material.

Machine learning systems and methods for automated claims data and workflow processing are provided. The system includes a property claims processing platform which monitors for one or more automation trigger events in connection with an insurance claims property file. When the one or more automation trigger events is detected, the system identifies and executes one or more automated claims processing workflows in response to the detected trigger events. The workflows can be pre-defined and / or user-defined workflows that are selected in response to pre-defined logic or heuristic rules, and / or they could be selected by one or more machine learning algorithms.

The present disclosure relates to a hardware-embedded pointing transfer processing device and method, and the device includes a user control command receiver configured to receive a user control command, a sensor configured to output mouse movement data on the basis of the control command, and a pointing data processor configured to set a user-defined gain based on the mouse movement data and provide a cancellation gain capable of canceling out a default gain provided by an operating system for the user-defined gain.

A lighting control system for controlling grow lights includes a communication circuit and a processor. The processor is communicatively coupled to the communication circuit. The processor includes a computing unit and a control unit. The control unit is electrically coupled to the computing unit. The communication circuit can receive external parameters. The computing unit can determine light-on time and light-off time for the grow lights based on the external parameters and user-defined parameters. The control unit can generate a control signal for activating and deactivating the grow lights based on the light-on time and the light-off time. A method and a computer product thereof are also disclosed.

The present invention discloses an audio processing system and method for providing noise cancellation using user defined markers. The system comprises an input module configured to receive an audio signal. The system further comprises a memory module in communication with the input module and a user interface. The user interface is configured to enable a user to select at least one segment of the audio signal. The memory module is configured to store the audio signal and the selected segment of the audio signal. The system further comprises a processing module in communication with the memory module. The processor module is configured to process the audio signal to remove the noise present in the selected audio segment, while leaving segments of the audio signal outside the selected segments unaffected, thereby providing a selective noise-cancellation of audio signal and produces an improved output audio signal.

Systems and techniques for detecting applied railcar brakes within a railroad classification yard using thermal imaging. A thermal imaging system, including at least one thermal imaging sensor, captures a plurality of thermal images of railcar wheels. The thermal imaging system determines if a temperature within a user-defined bounding box on the thermal sensor's field of view exceeds a predetermined temperature threshold for a specified amount of time. Alternatively, a neural network may be used to detect the excessive temperature. In response, the thermal imaging system sends a system message, and a computer processor receives the system message and, if it meets reporting criteria, identifies the particular railcar and generates and transmits an alert message indicating a potential issue with the wheels of the railcar.

A method of controlling a growth environment of a plant includes: obtaining an electrical signal from the plant; generating, using at least one machine learning model, prediction data based upon the electrical signal, wherein the at least one machine learning model has been trained to assess at least one characteristic of the plant, and wherein the prediction data are based upon output(s) of the at least one machine learning model and indicate an assessment of the at least one characteristic of the plant; and applying a user defined rule set to the prediction data to generate a plant control signal, wherein the plant control signal is configured to change the growth environment of the plant.

Methods and systems for automated double emulsion droplet library generators are described herein. Optimizing the geometry and composition of double emulsion droplets is essential for maximizing their utility in various scientific and industrial applications. The microfluidic method is effective to generate a droplet library, which is useful to optimize droplets. However, monitoring and intervention by a human are necessary to generate droplet library. The disclosure provided herein presents an automated double-droplet library generator that utilizes a fine-tuned object detector and feedback control. The system autonomously produces libraries of single-core double emulsion droplets tailored to user-defined sizes, shell thicknesses, and solute concentrations.