681 results about "External source" patented technology

This disclosure describes utilizing a causal query system to determine causal outcomes for domain-specific causal queries using a framework that includes causal graphs for targeted domains, a large generative model (LGM), and other models or systems. In various implementations, the causal query system provides a framework that includes generating domain-specific causal graphs, encoding or mapping the causal graphs with local data values, and using the encoded causal graphs to determine causal outcomes to causal queries. In some implementations, the causal query system uses the LGM and data resources (e.g., external sources) to populate missing values of an embedded causal graph before using the causal graph to determine causal outcomes.

Disclosed herein are apparatus, system, method, and computer-readable medium aspects for identifying and preventing digital skimming attacks using a machine learning model. A threat management system may crawl one or more external sources in order to obtain training data for one or more machine learning models. A plurality of different models may be used to conduct different analyses with respect to an application under test. For example, a first model may identify malicious code. A second model may detect the presence of threat protection code which may protect against skimming attacks. Depending on whether an application under test is free from malicious code and / or includes threat protection code, a threat management system may determine whether close may be promoted to a production or live environment. The threat management system may also use a third model to generate security protocol code for a developer based on learned best practices.

The invention discloses a non-aligned spatio-temporal data driven multi-sensor fusion method and system, and the method comprises the steps: building a matching measurement function through collecting radar point cloud density and visual image texture, and constructing a synchronous gradient field through employing a space depth change parameter and a visual motion contour, and determining a data synchronization standard; detecting a time sequence abnormal accumulation area based on a synchronization standard, and identifying an abnormal starting point and propagation time delay through a backtracking track to form an asynchronous sensor coordinate table; iMU angle increment and sensor response delay are collected, and sampling imbalance information is generated through time domain matching of an attitude switching signal and a data collection inflection point; performing association mapping on the asynchronous coordinate table and the sampling imbalance information to generate a feature offset, determining a matching core area, and creating a hierarchical calibration sequence; performing internal and external source difference identification analysis on the calibration sequence to obtain an offset transfer speed to form an offset coupling factor; and a fusion enhancement region is determined based on the offset coupling factor, and high-precision multi-source data fusion is realized through cascade analysis and gain coefficient coding.

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.

A method for training a model for discovering objects in an input image sequence, the model includes an encoder; an attention module configured to transform the first feature vector into a plurality of feature vectors, called slots; a decoder; the learning of the attention maps being monitored by a set of binary masks for discovering mobile objects produced by an external source, called pseudo-labels; the pseudo-labels being filtered by means of the following steps of: determining an attention map of the foreground of the image; computing a confidence score from the average of the values of the attention map of the foreground of the image at the positions of each mobile object present in a pseudo-label; filtering the mobile objects of the pseudo-labels for which the confidence score is below a predefined threshold.

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.

A ML-based method and system for automatically generating responses to inputs using a multi-tier technique, is disclosed. Initially, first inputs are obtained from electronic devices of first users. An information is retrieved from external sources based on first inputs, using RAG engine. The responses are generated based on optimized information, using ML model. The ML-based method determines whether queries of first users within first inputs are resolved through the optimized responses. Issues are categorized using ML-based issue classification engine when the queries are not resolved. Dynamic forms are generated with fields based on categorization of issues, using a dynamic workflow engine. Second inputs are obtained and processed to determine whether queries are resolved using a rule-based logic engine. The first users are adapted to interact with second users to resolve the issues through communication channels. The responses are provided as output upon resolving the issues, to first users.

The invention relates to the field of mass spectrometry, and describes a mass spectrometer based on multi-electrode coordination of a Jooden well. A multi-port ion source configured for multi-port input of electrons of ionization of gas molecules in a well and ions in an ion source outside the well, the ports being autonomously usable, comprising two external electrodes and four internal electrodes configured to excite periodic movement of ions in the well along an axis of symmetry and to detect signals caused by ions of secondary potential oscillation in the well, wherein ions are introduced into the trap from an external source with a slot, and ion movement is excited by applying an alternating voltage or the like to the electrodes. Or using a slot to introduce ions from an external source into a well in an external electrode, applying a potential to an internal electrode to create an electric field, the size of which is in a quadratic relationship with the coordinates, the electrodes having a specific equipotential surface geometry. Pulsed potentials can be applied to capture ions, multiple external ion sources can be equipped, and if the ion sources are not combined, each can be provided with a separate port. The mass spectrometer is uniquely designed in the aspects of ion input, excitation, detection, ion source configuration and the like.

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 discloses a distributed consistency control method suitable for a multi-unmanned trolley system, and designs a control strategy based on a preset time disturbance observer for the problem that communication topology dynamic change and external disturbance interference are difficult to consider at the same time. In system modeling, each trolley is modeled as a second-order nonlinear system, and external disturbance is generated by a heterogeneous external source system. In the design of the controller, a disturbance observer with a preset time convergence characteristic is introduced, and strict convergence of disturbance estimation errors can be realized in finite time. Control input is fused with three parts of neighbor state difference feedback, leader tracking and disturbance compensation, and it is ensured that the system can still achieve a consistent target in a complex dynamic environment. By constructing a combined Lyapunov function and combining a Markov jump system theory, it is proved that a system state error and a disturbance estimation error converge to zero after a preset time. A simulation result verifies the effectiveness and stability of the method under communication switching and non-ideal disturbance interference.

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.

An auxiliary hydraulic system including an accumulator, a control valve, and a hydraulic connector. The accumulator connects to a primary hydraulic system including a hydraulic pump, a brake circuit, and a steering circuit. The control valve selectively allows or prevents flow from an accumulator to at least one of the brake circuit and the steering circuit. The hydraulic connector selectively connects an external source to the accumulator and the control valve.

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 torque command calculation unit calculates a torque command value for a motor based on a required braking force commanded from an external source. A relationship between a motor torque and braking forces generated in the electric brakes has a hysteresis characteristic. When the torque increases, the braking force increases along a positive efficiency line, and when the torque decreases, the braking force decreases along an inverse efficiency line. A specific controller calculates a torque command value to bring an actual load closer to a load command value or to bring an actual position closer to a position command value. A control adjuster adjusts a parameter of a control calculation of the specific controller, or a parameter of a control calculation on an input side or on output side of the specific controller during increase operation, during decrease operation, or during transition between the increase operation and the decrease operation.

An apparatus for carbon emission optimization using machine-learning, apparatus including a processor and a memory containing instructions configuring the processor to receive an integrated logistics data collection, determine a projected carbon emission as a function of the integrated logistics data collection, generate a transportation plan as a function of the integrated logistics data collection and the projected carbon emission, continuously receive a current logistics datum from an external source, and iteratively modify the transportation plan based on the current logistics datum.

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.

The invention discloses a multifunctional seawater and sea sand ECC material based on ion reconstruction and internal and external source cooperative regulation and a preparation method, and relates to the technical field of building materials. The base body is prepared from the following components in parts by mass: 0.6 to 0.8 part of cement, 0.2 to 0.4 part of silica fume, 0 to 0.2 part of quartz powder, 0.03 to 0.09 part of expanding agent, 0.15 to 0.23 part of seawater, 0.31 to 0.46 part of sea sand, 0.02 to 0.03 part of polycarboxylic acid water reducing agent and 0.001 to 0.002 part of silane coupling agent, and the content of the polyethylene fiber is 2 to 2.5 percent of the volume of the base body. The shrinkage performance is regulated and controlled through internal and external source expansion factors, the internal source expansion factors refer to the fact that Cl <-> and SO4 < 2-> in seawater and sea sand participate in a hydration reaction, AFt and Friedel's salts with expansibility are generated, ion curing can also be achieved, the external source expansion factors refer to expansive substances generated by an externally-doped expansion agent participating in the hydration reaction, the strength is high, the ductility is high, and shrinkage is small.

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.

Electromagnetic shields for electronic devices, and particularly electromagnetic shields with bonding wires for sub-modules of electronic devices are disclosed. Electronic modules are disclosed that include multiple sub-modules arranged on a substrate with an electromagnetic shield arranged on or over the sub-modules. Bonding wires are disclosed that form one or more bonding wire walls along the substrate. The one or more bonding wire walls may be located between sub-modules of a module and about peripheral boundaries of the module. The electromagnetic shield may be electrically coupled to ground by way of the one or more bonding wire walls. Portions of the electromagnetic shield and the one or more bonding wire walls may form divider walls that are configured to reduce electromagnetic interference between the sub-modules or from external sources.

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.

The invention is directed toward the creation of a platform for creating personalized and adaptive learning content. The claimed platform includes the following elements: a database capable of obtaining and storing data from external sources of information; a digital asset management system capable of obtaining and storing data from the database and managing the obtained data; a graph-based learning management system capable of managing a graph with the aid of artificial intelligence algorithms by analyzing and transforming the structure of the graph to provide personalized learning content using a learning content repository and the digital asset management system; a learning content repository capable of analyzing information obtained from the digital asset management system and adding identified information to at least one graph of the graph-based learning management system; an adaptive learning module capable of interacting with the graph-based learning management system and the learning content repository to create adaptive learning programmes using artificial intelligence algorithms; and an assessment module capable of interacting with the graph-based learning management system to create test assignments based on the created learning content and further capable of using artificial intelligence algorithms to adjust the level of difficulty of test assignments depending on successfully completed test assignments.

The invention discloses an application of a composite material as a photo-thermal catalyst in selective reduction reaction, the composite material comprises carboxylic acid functionalized carbon nanotubes and Zr-MOF coated on the surfaces of the carboxylic acid functionalized carbon nanotubes, and the surface of the composite material contains 0.8-3 at% of zirconium element. According to the composite material, the selectivity of products is greatly improved, the selectivity is 96% or above, the turnover frequency and the production rate are excellent, the use of precious metal is avoided, external source heating is not needed, and the reaction energy consumption is reduced.

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.

The embodiment of the invention provides a digital human broadcast video generation method, equipment and a medium. The method comprises the following steps: acquiring a target image and a target text input from the outside; determining a reference time sequence video matched with the target text and audio data corresponding to the target text according to the target text, wherein the reference time sequence video comprises a plurality of reference video frames arranged according to a time sequence; processing the target image according to the deformation relationship of the corresponding position between each reference video frame and the target image to obtain a digital human image video; and processing the audio data and the digital human image video by using a pre-trained mouth shape generation model to obtain a digital human broadcast video corresponding to the audio data. According to the technical scheme, the target image is driven by the video matched with the target text to generate the digital human video with the self-defined posture, then the mouth shape of the digital human video is driven and adjusted, and the efficiency of generating the digital human broadcast video is effectively improved.

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 relates to the field of valve cooperative control, in particular to a multi-valve networking cooperative control method and system based on information source interconnection, and the system comprises an internal source information collection module, an external source information collection module, an operation information collection module, a distribution correction module and a cooperative control module. When cooperative control is carried out on multiple valves, the current state of a valve channel and equipment operation and tail gas emission parameters are collected and serve as input parameters and output parameters respectively, the difference between the advantages and disadvantages of the output parameters is compared, and the difference between the advantages and disadvantages of the input parameters is obtained; according to the method, the priority arrangement of different output parameters is obtained, the cooperative control of multiple valves is effectively judged, a database is constructed, data support is provided for the multi-valve control in actual production based on the database, the control difficulty of a multi-valve system is reduced, and the operation effect of equipment is improved.

Microprocessor for a scale system for a mobile storage carrier operates in three states: motion, stable, and fault where stability is determined based on load cell signal variations or external sources and a fault state follows a stable state in response to signal drift in one or more load cells.