491 results about "External source" patented technology

Digital model platform that enables the streamlined creation and management of digital twins and physical twins by leveraging external feedback and artificial intelligence (AI) is disclosed. Methods and systems for a model collaboration platform that facilitate the integration of external feedback, whether from physical, virtual, or human sources, into the streamlined design, validation, verification, certification, assembly, operations, and maintenance processes of complex systems. Updated results are output to those external sources, including physical twins, other digital twins or models and simulations, and / or human users. External feedback includes feedback data from physical prototypes and their environment, virtual prototypes, simulations, and subject-matter experts. Embodiments are directed to integrating external feedback into the assembly and system-level assessment of digital twins, physical twins, digital threads, and the iterative design of constituting digital engineering models, including constructing, maintaining, and improving digital engineering models for the design, validation, verification, certification, operations, and maintenance of complex systems.

Systems and methods for improving the accuracy of information obtained using a large language model. In one embodiment, this involves augmenting the capabilities of a graph generated from unstructured data with information from an external source using Retrieval Augmented Generation (RAG). In one embodiment, expert knowledge is used to review clustering and cluster summarizations derived from the results of a search over the graph data and information prior to application of RAG to generate additional information to augment the search results.

The invention discloses a geomagnetic diurnal variation data forecasting method, system, equipment, medium and product, and relates to the technical field of geomagnetic navigation, and the method comprises the steps: collecting and preprocessing global geomagnetic station data, carrying out the fast Fourier transform of geomagnetic field diurnal variation data, solving to obtain a trigonometric function coefficient, and carrying out the calculation of the trigonometric function coefficient; according to the method, geomagnetic daily variation data of any region in the world are obtained through geomagnetic daily variation, then an association Legendre coefficient is obtained through solving, an internal source field Gaussian coefficient and an external source field Gaussian coefficient are obtained through solving according to the Gaussian theory, finally daily variation model forward modeling can be carried out according to the internal source field Gaussian coefficient and the external source field Gaussian coefficient, and geomagnetic daily variation data of any region in the world are output. According to the method, coefficient solution and model forward modeling related to spherical harmonic analysis are utilized, the problems that in the prior art, the control range of a virtual terrestrial magnetism daily variation station is limited, and data are prone to being polluted are solved, and the forecasting precision of terrestrial magnetism daily variation data is improved.

The invention relates to a medical term semantic analysis and evaluation method based on a large language model. The method comprises the following steps: inputting a to-be-evaluated medical term pair into a computer system; the computer system retrieves definitions of the medical term pairs and the shortest semantic path of the definitions and the shortest semantic path of the definitions and the shortest semantic path from the UMLS, and supplemental definitions and external semantic paths are extracted from other authoritative external sources for terms missing information in the UMLS; constructing a unified prompt which contains the definition, the semantic path and a score of a generation set range and is based on a knowledge interpretation instruction, inputting the unified prompt into a large language model evaluation module, and generating a semantic similarity / correlation score and natural language interpretation; on the basis of the unified prompt, using supplementary information to verify whether explanation is compliant, has no information misdescription and has no illusion, allowing output only when the explanation, the information misdescription and the illusion are all satisfied, and otherwise, iteratively optimizing the prompt and regenerating; and outputting a structured result containing the semantic similarity / correlation score, the natural language interpretation, the knowledge reference and the supervision log.

The disclosure relates to a portable electric nail filing system, the system including a control box for supplying power and control to an electric nail file handpiece, the control box including a rechargeable battery and a processor. Also, a charging base is provided for engaging the control box, the charging base operable to recharge the rechargeable battery of the control box while the control box is engaged with the charging base, the charging base also including a rechargeable battery to be charged from an external source such as an AC outlet.

The invention relates to a navigation deception signal detection method and device, equipment, a storage medium and a program product. The method comprises the following steps: determining a visual navigation satellite corresponding to a communication satellite by taking a geometric center of a beam coverage area of a directional beam generated by the communication satellite as a reference point; generating an enhanced navigation message according to the time service information of the communication satellite, the beam coverage area, the visual navigation satellite and the navigation message corresponding to the visual navigation satellite; and sending the enhanced navigation message to a user terminal in the beam coverage area, and detecting a deception signal by the user terminal according to the enhanced navigation message. According to the method, an inter-satellite exchange navigation message is included into a space section for processing, and a communication satellite sends an enhanced message signal to a user terminal in a beam coverage area, so that the user terminal performs external source verification on a local clock according to the enhanced message signal and compares the enhanced message signal with a local demodulation message, and therefore, under the condition of not depending on a ground private network, the user terminal can perform external source verification on the local clock. Therefore, the detection of the deception signal is realized, and the navigation deception resistance of the user terminal is improved.

Containerized orchestration of secure socket layer virtual private network benchmarking is disclosed. A test portal can accommodate developing test event information (TEI) based on test input information. Test input information can be used to generate event images, e.g., containers, that can be readily scaled, mutated, etc., via a containerization environment instance. One or more event image can be groups into a pod. An event image can be a new container, a previously used container, or a permutation of a container. Event image(s) can be retrieved from external sources, e.g., a library, a commercial vendor of event images, etc. TEI can be based on a pod(s) and communicated to a device-under-test (DUT). DUT performance can be measured, and results can be accessed by an entity, e.g., a test engineer, a results analysis engine, etc. Results can be employed to direct subsequent DUT testing.

A device may determine a layout of the reconfigurable modular display. A device may establish local wireless connectivity to accept concurrent connections from client devices without reliance on external networking infrastructure. A device may obtain game-state data from at least one external source via a programmatic interface. A device may render scoreboard graphics according to the layout. A device may present an interactive activity on the reconfigurable modular display and receive spectator inputs via the local wireless connectivity. A device may update the reconfigurable modular display based at least on the game-state data and an aggregation of the spectator inputs.

A razor has a handle and a rotatable head assembly coupled to the handle. The rotatable head assembly has a magnetic pickup adapted to draw a blade from a blade cartridge to the rotatable head assembly. The rotatable head assembly has a blade platform to contain the blade, head flap rotatable about the blade platform, and hinge between the blade platform and the head flap. The blade platform has a ball plunger to contact the external source and a keyed riser to hold the blade. A stand supports the razor over a vertical surface or horizontal surface. The blade cartridge has a housing, blade drawer disposed within the housing, and roller disposed over the blade drawer to pick up a blade from the blade drawer. The blade drawer has a blade platform to hold a plurality of blades, and spring element to apply pressure to the blade platform.

Change-of-thought machine-learning model debiasing techniques and systems are described. A query is received and context data is produced based on the query, e.g., from an external source. A prompt is generated that includes the context data, the query, and a chain-of-though prompt, which is processed by a machine-learning model. A candidate result based on processing of the prompt using the machine-learning model. The candidate result includes a candidate answer and a chain-of-thought result describing reasoning indicated by the machine-learning model as used in generating the candidate answer.

An apparatus for performing product matching may include: a processor configured to receive a search as product item for searching for a catalog product that matches a target product; classify the target product in a product taxonomy tree including a plurality of taxonomy nodes, by identifying a taxonomy node to which the target product belongs, among the taxonomy nodes; obtain product data associated with the target product from an internal source and an external source and measure data quality; extract attributes from the product data based on a machine learning model; validate the attribute in response to the attribute corresponding to defined mandatory attribute of the taxonomy node to which the target product belongs, and provide a search result based on the validated attributes; re-rank searched results governed by relevancy score and display matched set of products to the customer above defined re-rank confidence score.

A system for automated real-time publication processing may comprise a data collection module configured to automatically gather data from multiple external sources. A data analysis module may be configured to process the gathered data using artificial intelligence models. A data visualization module may be configured to generate interactive visual representations of the processed data. An update control module may be configured to automatically update published content and maintain version history with timestamps. The data collection module may utilize application programming interfaces and web scraping tools to gather data from government databases and real-time data feeds. The data analysis module may employ machine learning libraries to process and analyze the collected data. The data visualization module may use visualization tools to create interactive charts and graphs. The update control module may use Git-based version management and automated scheduling scripts to implement updates and record modification dates.

A network device may obtain host network layer information such as host IP addresses from an external source. The external source may provide the network device with the network layer information of hosts connected to the network device. Accordingly, the network device may use the externally obtained network layer information to perform certain operations that would otherwise not be possible in the absence of the network layer information.

The invention discloses an ecological environment condition index evaluation method based on an ecological footprint model, and relates to the technical field of ecological environment monitoring, and the method comprises the steps: collecting and preprocessing multi-source ecological evaluation data, defining a unified calculation criterion of footprint bearing pressure coupling, and constructing the ecological footprint model; according to the ecological footprint model, ecological footprint components of all kinds of land are calculated and summarized to form a basic footprint, meanwhile, according to the output potential and vegetation productivity of all kinds of land, the biological bearing capacity is estimated, and a biological bearing capacity base map with a time mark is generated; based on the demand attribution footprint, extracting the pollution and ground disaster grid density and the forward over-threshold increment relative to the history, and applying punitive adjustment to the demand attribution footprint to generate a risk correction footprint; according to the method, the demand attribution footprint is generated under the ecological footprint model, gridding back distribution and responsibility mapping of the external source ecological pressure are achieved, and finally a pressure pattern consistent with the foundation footprint and the biological bearing capacity is formed.

An apparatus and method for generating at least a data connector. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor. The memory instructs the processor to receive input data from an external source, wherein the input data comprises a plurality of source parameters, identify a first data schema associated with the external source and a second data schema associated with an internal system, instantiate a runtime instance of a data connector associated with the external source as a function of the first data schema and the second data schema, configure the data connector by binding the data connector to a web service protocol, registering the data connector to the internal system, and validating the data connector using at least a compliance protocol, and deploy the data connector to a service-based orchestration layer of the internal system.

The invention discloses a core-shell structure piezoelectric nano-enzyme material and application thereof in oral care, which can generate active oxygen through piezoelectric effect under the action of mechanical stress to realize double effects of tooth whitening and antibiosis. The technology does not need external source energy input, avoids dependence of traditional photocatalysis and chemical bleaching technologies, and is simple and convenient to operate, green and safe. Through in-situ generation of cerium oxide on the surface, the material has dual enzyme activity, effectively balances the antibacterial effect and biological safety, and prevents excessive damage to enamel. In addition, the stability and catalytic efficiency of the material are remarkably improved in a complex oral environment, and the problem of failure of a traditional material is avoided. The technology can be widely applied to oral care products such as toothpaste, mouth wash and antibacterial gel, has remarkable industrialization potential and can bring innovation to the global oral care market.

Neuromuscular block characterization techniques are disclosed. A muscle movement measurement device generates, unprompted by impulse stimulation to a subject from an external source, at least one signal representative of muscle movement measurements at at least one location of a body of the subject while the subject is experiencing neuromuscular paralysis caused by biophysiological processes at neuromuscular synapses throughout the body including remote from the at least one location. A processing circuit runs a neuromuscular block analysis module that receives the at least one signal, analyzes the muscle movement measurements embedded in the at least one signal, and determines a degree of neuromuscular blockade associated with the neuromuscular paralysis being experienced by the subject. The processing circuitry further generates, for display via a display device, an indication of the degree of the neuromuscular blockade at each said location on the body.

To solve such a problem that conventional systems merely obtain rankings or ratings related to ESG (hereinafter, "ESG ranking") based on the environmental (E), social (S), and governance (G) perspectives assigned by respective evaluation institutions for one particular company, as well as a score for each perspective from external sources, and then display the obtained ESG rankings and scores, but the systems do not show the detailed breakdown, namely, the indicators adopted by each evaluation institution for evaluating each ESG perspective, the details of those indicators, the evaluations made for those indicators, or the evaluation criteria for the evaluations.SOLUTION: An information processing program according to the present disclosed technique causes a computer to execute: an evaluation information acquisition procedure (ST110) for acquiring, from an evaluation information database (DB), ESG evaluation information that is evaluation information provided by a plurality of evaluation institutions for a user company; and a classification display procedure (ST130) for displaying the ESG evaluation information for each ESG evaluation item common to evaluation information provided by the plurality of evaluation institutions and for each evaluation institution.SELECTED DRAWING: Figure 1

A removable electrical meter quick connect device has a housing with a first face configured with connectors to mate to an electrical service panel in a meter connection manner, and a second face with an electrical meter, or connectors to mate to an electrical meter. First and second set of lines are within the housing, connected from the first face to the second face. At least one breaker switch or breaker switch receptacle is on the housing and coupled to at least one of the first and second set of lines. Additional set(s) of lines are connected to the breaker switch(es) and exit a side of the housing to provide an external source of power (in / out) via the device, without requiring typical electrical panel work.

To provide a semiconductor storage device for storing data by accumulating majority carriers in an electrically floating body of a MOSFET.SOLUTION: In a memory device using a semiconductor device, plate lines PLL0, PLR0 capacitively coupled to floating bodies of memory cells MCL, MCR are wired in parallel with word lines WLL0, WLR0 separately for each word line, and an erase operation of majority carriers is executed simultaneously along the word lines by applying a voltage to the plate lines. In the refresh operation, after the data along the selected word line is read and latched by the sense amplifier S / A, the bit lines BLL and BLR are separated from the sense amplifier to once erase the majority carriers all together from the floating bodies of the cells on the selected word line, and the majority carriers are injected into the cells in which a large number of majority carriers are originally stored depending on the state of the sense amplifier. In addition, the write operation includes an operation of simultaneously extracting majority carriers from the selected cell and simultaneously writing data to the sense amplifier from the outside.SELECTED DRAWING: Figure 4

This application provides a data processing method, apparatus, device, storage medium, and program product, relating to the field of artificial intelligence. The method includes: identifying materials to be reviewed, obtaining multiple sub-tasks corresponding to the materials; processing the sub-tasks using review agents corresponding to the sub-tasks, obtaining processing results from multiple review agents, wherein the review agents process the sub-tasks based on a preset rule base and a dynamic monitoring base, the preset rule base including pre-approved existing rules, and the dynamic monitoring base including the latest rules retrieved from external sources; and obtaining a review result for the materials to be reviewed based on the processing results. This method increases review efficiency, improves review accuracy, and enhances review real-time performance.

A converter allows a portable power storage system to be charged from an external DC power source, such as a vehicle's DC power outlet. The converter contains a DC-to-DC power circuit within a housing. This circuit receives a lower DC voltage from the external source and boosts it to a higher, regulated output voltage. A first connector links to the external source while a second connector, such as an MC4 or Anderson Powerpole, mates with the power storage system's solar panel inlet. The converter's output voltage and current are regulated to emulate a solar panel array's power-voltage characteristics, enabling the power storage system's existing charging circuitry to function without modification. The device may be bidirectional, allowing power to flow back to the vehicle for tasks like jump-starting. The system enhances versatility of portable power storage units by enabling charging from diverse DC sources when solar power isn't available.

The robot controller includes a communicator, a storage, and a processor. An input signal is input to the communicator. The storage stores the control software. The processor creates the command signal including the command value for operating the robot based on the input signal and the control software. The processor reads out the past input signal and the past command signal from the storage or from external source. After updating the control software, the processor creates a confirmation command signal based on the past input signal and the control software. The processor compares the past command signal with the confirmation command signal and outputs the comparison result.

A networked system for processing event response pairs across multiple locations includes a memory storing a plurality of event response pairs, each comprising an event predicate and an associated underlying order; a network interface receiving a continuous stream of trigger information entries from internal and external sources; and a processor coupled to the memory and network interface. The processor evaluates each received trigger information entry against the stored event predicates to identify one or more matches, prepares the associated underlying orders for transmission to specified destinations, sequences the prepared underlying orders based on a multi-response handling algorithm, and transmits the sequenced underlying orders via the network interface to the specified destinations.

A method for using a large language model (LLM) to generate executable code in a manner that preserves privacy and confidentiality of proprietary data is provided. The method includes: receiving information that relates to a summarization of a data table; defining a set of rules for facilitating a generation of executable code by an LLM; receiving an inquiry from a user; inputting each of the summarization information, the set of rules, and the inquiry into the LLM; receiving, in response to the input, a set of executable code that is generated by the LLM; and executing the set of executable code in order to generate an output. The summarization information may be received from an external source that has access to proprietary data included in the data table, and the summarization information may be structured so as to preserve a privacy of the proprietary data.

A clock signal correction device includes a first clock signal generator configured to generate an internal clock signal in a first mode, a divider configured to generate a plurality of first clock signals having different phases based on the internal clock signal, a calibration circuit configured to generate a first skew code corresponding to a skew between a first clock signal and a second clock signal of the plurality of first clock signals and a second skew code corresponding to a skew between a third clock signal and a fourth clock signal of the plurality of first clock signals, and a skew adjustment circuit configured to adjust the phases of a plurality of second clock signals having different phases generated using a clock signal received from an external source based on the first skew code and the second skew code in a second mode different from the first mode.

We provide the system. [Solution] A means of analyzing user inquiries using natural language processing, A means for referencing user attribute information and generating personalized information, A means of obtaining information from external sources and selecting information according to the user's intent, A means of displaying the selected information on the user interface, A means of converting voice input to text, A system that includes this.

Embodiments described herein are generally related to data analytics environments, and are particularly directed to systems and methods for use with a data analytics environment to provide enrichment of data from external sources via a large language model. In accordance with an embodiment, the systems and methods can utilize a high-powered LLM to suggest data-related factors that may not be explicitly represented in the user's dataset. For example, upon a user's selection of a pair of datapoints, the systems and methods can utilize a LLM to provide suggestions for root causes of those datapoints, even though such root causes are not explicitly represented in the dataset.

The invention provides a clock signal correction apparatus, a semiconductor apparatus, and a computing system. The clock signal correction apparatus includes: a first clock signal generator configured to generate an internal clock signal in a first mode; a frequency divider configured to generate a plurality of first clock signals having different phases based on the internal clock signal; a calibration circuit configured to generate a first skew code corresponding to a skew between a first clock signal and a second clock signal of the plurality of first clock signals and a second skew code corresponding to a skew between a third clock signal and a fourth clock signal of the plurality of first clock signals; and a skew adjustment circuit configured to adjust phases of a plurality of second clock signals having different phases generated using a clock signal received from an external source based on the first skew code and the second skew code in a second mode different from the first mode.

The invention relates to a thermoacoustic machine (1) comprising a control device (14) configured to modulate the acoustic power generated by one or more acoustic sources (6-9) so that the temperature of an external source (2) connected to one or more thermoacoustic cells (10-13) of the machine (1) reaches or remains substantially the same as a setpoint temperature. Figure for the abstract: Fig. 1