520 results about "Data translation" patented technology

A real-time system for the multimodal generation of virtual reality scenes based on artificial intelligence for the creation of immersive three-dimensional environments from natural language narratives, consisting of: a speech capture module configured to continuously record a user's spoken narrative via one or more directional microphones, preprocesses the captured signal by noise reduction and temporal alignment, and outputs a digital speech stream; A speech-to-text processing unit that is operationally coupled to the speech capture module and configured for real-time speech recognition using a continuous neural transformer model. The unit is trained to transcribe natural language utterances into structured text data while maintaining contextual continuity throughout the evolving narrative. a semantic interpretation processing unit that is communicatively linked to the speech recognition unit and configured to perform natural language understanding techniques to extract contextual entities, spatial references, temporal relationships, and object attributes from the transcribed narrative; the engine includes a large language model that is fine-tuned for spatial reasoning tasks; a scene graph generation module configured to transform the interpreted semantic data into a structured, hierarchical representation that defines nodes for identified entities and edges for corresponding relationships, with each node associated with metadata describing geometry, position, orientation, texture, and linking attributes between objects; a multimodal image-language model processor coupled with the scene graph generation module, wherein the processor is configured to retrieve, adapt, or synthesize appropriate three-dimensional elements from a pre-trained visual-lexical embedding space and align these elements with their semantic and spatial definitions derived from the scene graph; a scene assembly and rendering controller configured to create a cohesive virtual scene from the aligned assets, perform real-time rendering using a GPU-accelerated ray tracing pipeline, and produce a stereoscopic visual output that corresponds to the evolving narrative; A head-mounted virtual reality visualization device connected to the rendering engine and configured to display the generated immersive environment to the user in real time. The device features motion sensors and inside-out tracking cameras to detect head and body movements, dynamically updating viewing angles and perspective within the rendered scene; and a bidirectional feedback module integrated into the head-mounted device and connected to the semantic interpretation processing unit; the module is configured to interpret corrective commands, gestures, or supplementary comments from the user to refine or modify specific scene elements without interrupting the real-time visualization; The system continuously updates the virtual scene as the narrative develops, ensuring temporal synchronization between speech input and rendered output below a defined latency threshold, thus enabling a natural, dialogic construction of complex three-dimensional virtual environments.

The invention discloses a power transmission line icing state detection method and system, and the method comprises the steps: obtaining an original icing image of a power transmission line, and calculating the equivalent icing thickness based on the original icing image; converting the meteorological data into a parameterized expression, and performing iterative optimization on parameters in the expression to obtain a composite correction factor; performing correction optimization on the equivalent icing thickness based on a composite correction factor to obtain a corrected icing thickness; according to the method, the preliminary equivalent icing thickness is corrected and optimized by constructing the environmental meteorological element composite correction factor, so that the icing state detection precision can be ensured in a complex environment.

The invention belongs to the technical field of intelligent voice processing, and particularly relates to a spoken language pronunciation training and correcting system based on intelligent equipment, which acquires a user rhythm feature set including pitch change rate, accent intensity, pause duration and intonation contour by acquiring spoken language audio data sent by a user for a target text, and corrects the spoken language pronunciation training and correcting system. The method comprises the following steps: acquiring spoken language audio data, converting the spoken language audio data into a phoneme sequence aligned with target text time, generating a rhythm deviation degree report according to comparison evaluation of a user rhythm feature set and the phoneme sequence, an execution intonation mode, accent distribution, speech stream sound change and speech speed rhythm, and determining the rhythm deviation degree according to a rhythm problem type in the report in combination with user historical learning data. And forming and outputting a correction scheme including a text prompt, a targeted minimum contrast training unit and a listen-and-read simulation task, solving the problem of weak capability of correcting hyper-phoneme in a second language spoken language of an adult, and improving the authentic and fluency of the spoken language, thereby realizing efficient personalized learning.

The invention belongs to the technical field of man-machine interaction, and discloses a diagnosis and treatment auxiliary system and method based on a voice gesture interaction technology, and the system comprises a voice recognition module which is used for collecting voice information; converting the voice information into text information; inputting the text information into the large language model to obtain a voice system instruction, and sending the voice system instruction to the data processing and interaction module; the gesture recognition module is used for collecting diagnosis and treatment scene information; identifying a preset operation gesture in the diagnosis and treatment scene information; mapping a preset operation gesture into a gesture system instruction and sending the gesture system instruction to the data processing and interaction module; the data processing and interaction module is used for receiving and executing a voice system instruction or a gesture system instruction; generating a calling instruction according to the voice system instruction or the gesture system instruction and sending the calling instruction to the network communication module; converting the received medical record data into diagnosis and treatment data in a display format; the network communication module is connected with a hospital information system; the calling module is used for calling medical record data after receiving a calling instruction of the data processing and interaction module and sending the medical record data to the data processing and interaction module; the display module is used for displaying the diagnosis and treatment data. The problem that a doctor cannot conveniently operate a computer to check patient data due to the sterility principle in the diagnosis and treatment process is solved, the diagnosis and treatment efficiency is improved, infection control is facilitated, and the sterility principle is met.

An apparatus and method (200) for defining a semantic framework for a plurality of entities in a computer simulated environment. The method (200) includes receiving data from one or more data acquisition devices (104), translating, the data into one or more executable queries to extract data relating to the one or more elements from the knowledge database (106). The method (200) further includes assembling an entity model with one or more elements identified from the CNL data, each element operationalized using a model ontology and instantiating each element in the entity model using a plurality of instances for each element in the entity model to generate a semantic binding among the plurality of elements. Furthermore, the method (200) includes transforming the semantic binding into a knowledge graph using standard graph databases and translating the semantic description from the knowledge graph into an executable configuration for the metaverse.

A system and method for compression performs analysis of incoming audio or video data, and selects a manifold based on the analysis of the data. A deep learning model is then trained for the manifold. The data is broken down into components and entropy maximization algorithms are utilized for each component before compression commences. Finally, the system translates the compressed data into a standard file format.

The invention relates to a robot teleoperation algorithm system based on motion capture equipment. The system comprises a motion capture data receiving module, a pose conversion module, a safety monitoring module and a control instruction issuing module. Teleoperation is carried out by using a mode of converting data of the motion capture equipment into a robot control instruction, the efficiency of completing a specific task by the teleoperation robot can be greatly improved, multiple control modes are realized, and an operator can more intuitively operate the robot to complete the task; meanwhile, the safety monitoring module designed in the system can ensure the safety of operators and the robot when the motion capture data is abnormal or drifts, and has high robustness. Moreover, the system can achieve the adaptation to different robots, and can reduce the adaptation development amount during hardware migration.

In one embodiment, a method includes receiving a natural language instruction from an interface device, receiving sensor data of a physical environment from a sensing system, converting the natural language instruction into instruction tokens and the sensor data into sensor tokens. The method further includes executing an autoregressive generative model on the instruction tokens and sensor tokens to output control tokens. The method further includes generating control commands based on the control tokens and transmitting the control commands to a robotic system. The control commands cause the robotic system to perform an action affecting the physical environment.

The invention relates to the technical field of information processing and intelligent analysis, and discloses a mobile terminal information extraction system based on OCR and a local large language model, comprising an OCR recognition module used for converting input image data into text data; the text optimization and information screening module is used for optimizing text data output by the OCR, and the invention further provides a mobile terminal information extraction method based on the OCR and the local large language model, and the method comprises the following steps: S1, transmitting input image data to the OCR recognition module; and S2, carrying out image preprocessing on the image data, wherein the image preprocessing comprises denoising, enhancement and edge detection processing. By combining the OCR technology, the large language model and quantum computing acceleration, the method achieves the efficient processing of complex images and multi-modal data, optimizes the information extraction process, improves the data processing speed and accuracy, and improves the overall performance of the system.

A robot system includes circuitry configured to: receive input sequence data representing an operation of a robot placed in a real space; input the input sequence data into a conversion language model generated by machine learning to convert the input sequence data into output sequence data, wherein the output sequence data is programming code; and control the robot to perform the operation represented by the input sequence data, based on the output sequence data.

The invention discloses a JSD-based field distribution test method and device in a complex electromagnetic environment, a medium and equipment. The method comprises the following steps: acquiring sample data of an electromagnetic signal in a microwave reverberation chamber; the method comprises the steps of obtaining a preset zero hypothesis and a preset alternative hypothesis; converting discrete sample data into a continuous empirical probability density function through kernel density estimation; calculating the Jensen-Shannon divergence between the empirical probability density function and the probability density function of the assumed distribution as the statistical magnitude of the JSD test; if the JSD test statistic is lower than the critical value, the assumed distribution corresponding to the preset zero hypothesis is not rejected, otherwise, the assumed distribution corresponding to the preset zero hypothesis is rejected, and the alternative hypothesis is accepted. The method can recognize the distribution form of the electromagnetic field in the reverberation chamber, and solves the limitation of a conventional hypothesis testing method when the number of independent samples is small or candidate distribution is similar.

The invention relates to a railway traffic field semantic recognition method and device based on few sample data and a medium, and the method comprises the steps: carrying out the preprocessing of the obtained railway traffic field data, and constructing a field dictionary and a rule base; converting the preprocessed domain data into enhanced voice, forming a training pair by the enhanced voice and a corresponding text, and performing domain fine tuning on the ASR model; inputting a voice instruction in the railway traffic field into the field fine-tuned ASR model, and outputting an ASR initial transcription text; on the three levels of sentence level, local word order level and semantic tag level, word legality judgment is performed on the ASR initial transliteration text through a multi-scale model, and a high-credibility anchor point set and uncertain content are recognized; and field semantic rewriting is carried out based on the legitimacy judgment result of the words, and finally a structured instruction text is output. Compared with the prior art, the method has the advantages of realizing accuracy and adaptability of semantic recognition in the field of railway traffic and the like.

A system for generating a bill of materials comprising one or more product recommendations aligned with customer requirements, comprises a bill of materials processing device. The bill of materials processing device is configured to execute an AI-based recommendation engine. The recommendation engine is configured to receive customer data from one or more user inputs, retrieve product data from a product data source, and retrieve transaction data from a transaction data source. The recommendation engine includes a pre-processing module, training module, and inference module. The pre-processing module executes one or more pre-processing techniques to translate the data into a program-compatible format. The training module executes training and inference processes to generate the bill of materials. The training processes put the data in better condition for the inference module. The inference module uses two or more product recommendation processes to evaluate the data and to generate the BOM in a machine-readable format.

The invention provides a robot and a grabbing control method thereof, and the method comprises the steps: extracting a contour feature point set of a target object, converting the contact pressure distribution data of the robot during the current grabbing of the target object into a contact state matrix, and recognizing a stable contact region and a potential sliding region based on the contour feature point set and the contact state matrix; further determining a stress mapping matrix of the target object in the grabbing process, and determining the stability margin of the target object grabbed by the robot through the stress mapping matrix; based on the stability margin, a dynamic coupling coefficient of interaction between the dexterous finger of the robot and the target object is determined, and according to the dynamic coupling coefficient, the self-adaptive adjustment requirement of the current grabbing state of the robot is judged; and dynamically adjusting the grabbing force closed-loop control parameters when the robot dexterous finger executes the grabbing action according to the self-adaptive adjustment requirement. By the adoption of the scheme, self-adaptive grabbing force control based on contact state prediction can be achieved, so that the grabbing performance of the robot in the complex object grabbing process is improved.

The invention relates to an intelligent ship water diversion method and system based on RTK and inertial navigation fusion, and the method comprises the steps: firstly, deploying and calibrating an RTK base station at a wharf commanding height, generating a differential correction in real time, and broadcasting the differential correction to a shipborne end; utilizing RTK surveying and mapping equipment to collect shoreline feature points, adopting a cubic spline interpolation algorithm to construct a continuous and smooth three-dimensional shoreline curve model, and fusing wharf geographic information to generate a shoreline visual map with geographic coordinates; establishing a ship coordinate system, converting inertial navigation attitude data into the coordinate system through a rotation matrix and a translation vector, fusing the inertial navigation attitude data with RTK position data, and outputting a high-precision ship pose; fusion data are transmitted through a 5G network, a shore end converts the fusion data into a local plane coordinate system and generates a real-time dynamic visual interface, the real-time dynamic visual interface is pushed to a tug terminal through an RTSP protocol, water diversion operation is assisted, high-precision perception, visual guidance and shore ship cooperation of the ship berthing process are achieved, and the water diversion safety and the intelligent level are improved.

The invention provides a method for indoor three-dimensional mapping of an unmanned aerial vehicle, which comprises the following steps: converting polar coordinate data into Cartesian coordinate point cloud under a body coordinate system, and performing motion distortion correction on the point cloud based on high-frequency pose data of an inertial measurement unit to obtain corrected point cloud; intercepting the region of interest as a candidate ground point, performing plane fitting on the candidate ground point, and separating the ground point from a non-ground point based on a fitting plane; taking the pre-integration pose of the inertial measurement unit as initial estimation, and performing iterative nearest point matching on a current scanning frame formed by non-ground points and the established local subgraph to obtain an optimized pose of the unmanned aerial vehicle at the current moment; inserting a non-ground point of the current scanning frame into the local sub-graph based on the optimized pose, performing global pose graph optimization when a loop is detected, and outputting a three-dimensional point cloud map and a two-dimensional grid map generated by projection of the non-ground point. And the mapping precision, robustness and practicability of the unmanned aerial vehicle in a complex indoor environment are comprehensively improved.

The invention relates to a three-dimensional scanning method, a three-dimensional scanning device, a three-dimensional scanning system and a storage medium, and the three-dimensional scanning method comprises the steps: obtaining a first pose of scanning equipment in a camera coordinate system of the tracking equipment, which is obtained through the real-time tracking of the scanning equipment by the tracking equipment when the scanning equipment executes scanning; acquiring a conversion relation between a camera coordinate system of the scanning equipment and a coordinate system of the scanning equipment; the conversion relation is determined based on an observation result obtained by observing the target by the scanning equipment and the tracking equipment at the same moment and the first pose when the scanning equipment executes scanning; determining a camera relative pose between the scanning device and the tracking device according to the conversion relation and the first pose; and according to the relative pose of the camera, converting scanning data collected by the scanning device to a camera coordinate system of the tracking device. According to the method, joint calibration before scanning is omitted, so that the overall scanning efficiency of tracking type three-dimensional scanning is improved.

The invention relates to the technical field of wireless communication, and provides a vehicle-mounted satellite phased array terminal and base station integrated system, which comprises a phased array antenna used for carrying out beam direction control and realizing beam forming and beam scanning by adopting a phased array technology; the main control unit is used for coordinating the work of each module, processing signals, managing communication protocols, exchanging data and monitoring system faults; the satellite communication module is used for establishing a two-way communication link between a satellite and the vehicle-mounted terminal; the positioning module is used for providing a vehicle positioning function; the radio frequency chip is used for transmitting and receiving a radio frequency signal, amplifying power and performing frequency conversion processing; and the 5G Femto base station is used for converting the data transmitted by the satellite link into a 5G signal and providing 5G network coverage for equipment or users. The system can provide services such as motorcade management, vehicle diagnosis, tracking, alarm, OBD application, navigation, video monitoring and emergency call, and the performance and the application range of the vehicle-mounted communication system are remarkably improved.

The invention discloses an original vulnerability data translation compression method based on a large language model and related equipment, based on a preset Prompt template, structured facts are extracted from original vulnerability data by using the large language model, the structured facts comprise network service facts and vulnerability existence facts, the network service fact is used for describing a target IP address, a running service name, a protocol type, a port number and a service running authority; the vulnerability existence facts are used for describing vulnerabilities existing in the service running on the target IP address, and identifying the existing vulnerabilities through standard vulnerability numbers; associating the vulnerabilities with the standard vulnerability numbers with the standardized vulnerability attribute tags to generate vulnerability attribute facts; establishing a direct mapping relationship between the vulnerability associated with the standardized vulnerability attribute tag and an MSF utilization module path, and generating an MSF utilization module mapping fact; network service facts, vulnerability existence facts, vulnerability attribute facts and MSF utilization module mapping facts are combined and translated and compressed to form a compressed vulnerability data set, and the compressed vulnerability data set is represented by a standardized predicate logic or key value pair set. According to the method, original and lengthy vulnerability scanning data can be converted into a highly-structured and information-refined representation form.

A conferencing system may connect a processing unit to a camera and a microphone in a meeting room. A calibration module of the processing unit may generate a calibration strategy prior to obtaining video data from the camera, with the processing unit, in accordance with the calibration strategy. The processing unit may then translate the video data into spatial data that is utilized by a mapping module of the processing unit to identify a physical location of the microphone in the meeting room. The calibration module may determine a field of view operating parameter of the camera in response to the spatial data.

The embodiment of the invention relates to the technical field of natural language processing, and discloses a subject information extraction method based on audio and video data and computer equipment. The method comprises the following steps: acquiring audio and video data, extracting audio data from the audio and video data, converting the audio data to obtain text content, extracting modal data matched with the text content from the audio and video data, performing information fusion on the text content and the modal data to obtain a plurality of fusion fragments, and screening the fusion fragments meeting a preset identification condition to extract the subject information, and summarizing all the extracted subject information as the subject information of the audio and video data. According to the embodiment, the text content and the modal data can be fused to obtain a plurality of fusion fragments, the fusion fragments carry rich information content, the expression accuracy of the text content is enhanced, interference caused by language expression of a user or other factors can be eliminated, and therefore the objective information can be accurately and reliably extracted.

The invention relates to the field of model design, and provides an aircraft multi-objective optimization design method and system based on semanteme in order to improve the calculation efficiency of multi-objective balance. Firstly, original design parameters and design rules are obtained, obtained data are converted into semantic vectors through a semantic embedding function, and adjacency matrixes are obtained; generating a semantic gene map based on the semantic vector and the adjacent matrix, constructing a comprehensive objective function, and performing optimization solution based on the semantic gene map; and creating a target mapping function, and mapping an optimized result into a specific engineering target based on the target mapping function. By introducing a semantic modeling and cognitive enhancement mechanism, aircraft structure optimization is improved from traditional numerical drive to semantic drive, a prediction and search process is accelerated by using semantic space and cognitive reasoning, and global optimization and traceability are realized in combination with crowd intelligence evolution and a cross-domain hypernetwork; not only are efficiency and robustness improved, but also engineering feasibility and compliance credibility of a design result are ensured.

The invention provides a multi-sensor fusion guiding robot positioning system which comprises a positioning module which integrates a PTZ camera, a total station, a robot and a central control module. The central module comprises a channel operation point obtaining module, the position of a channel operation point is calculated through the channel position obtained through cooperation of a PTZ camera and a total station, and accurate positioning of the channel is achieved. The guiding module is used for positioning the position of each feature point at the tail end of the robot through a PTZ camera; measuring three-dimensional coordinates of each feature point through a total station, and establishing a conversion relation between a robot coordinate system and a total station coordinate system; and converting the coordinate data of the channel operation point into robot coordinate data, and enabling the robot to move to the corresponding operation point for operation. The whole process is highly automatic, the integration level is high, and manual intervention and measurement errors are remarkably reduced.

The invention relates to the technical field of information retrieval, in particular to a large-scale semantic retrieval optimization method based on deep learning, which comprises the following steps: acquiring to-be-retrieved text data, and converting the to-be-retrieved text data into semantic vector representation through a deep learning model; carrying out topological structure analysis on the semantic vector representation to obtain topological characteristic information of a semantic space; on the basis of the topological characteristic information, a topological perception hierarchical navigable small-world graph index with a multi-layer structure is constructed, and each layer comprises a node set and a connection relation thereof; dynamically optimizing and adjusting the topology-aware hierarchical navigable small-world graph index according to an actual query mode and system performance feedback; and receiving a query request, converting the query request into a query vector, executing multi-layer navigation search in the topology-aware hierarchical navigable small-world graph index, and returning a retrieval result related to the semantics of the query vector.

The invention provides a power and environment equipment monitoring system and method for a public network environment, and electronic equipment. The system comprises a data acquisition unit used for acquiring original operation data of at least one power and environment equipment; the protocol conversion unit is used for receiving the original operation data and converting the original operation data into a data packet in a unified standard format based on a preset protocol conversion rule; the secure communication unit is used for receiving the data packet, encrypting and packaging the data packet to obtain an encrypted data packet, and sending the encrypted data packet to the remote monitoring platform through an encryption tunnel; the encryption tunnel is a transmission channel between the safety communication unit and the remote monitoring platform, wherein the transmission channel is constructed through a public network. According to the method, the security communication unit is arranged to encrypt and package the data packet, and the data packet is transmitted on the public network through the encryption tunnel, so that the confidentiality, integrity and availability of the monitoring data in the transmission process are ensured, and the security risk existing in the traditional public network transmission scheme is effectively avoided.

The invention provides a data transmission method, a check code generation system and a storage medium, and the data transmission method applied to a data receiving end comprises the steps: receiving and analyzing a data frame, and analyzing transmission data and a first check code; calculating a second check code according to the transmission data; when the first check code and the second check code are the same, using the transmission data; wherein the step of generating the second check code comprises the following substeps: converting transmission data into binary check code generation data, splicing the binary check code generation data, and dividing the obtained spliced data according to a preset length to obtain a plurality of pieces of first block data; performing a first type of operation on each first block of data; and converting each first block data into decimal second block data, performing a second type of operation on each second block data, generating a second check code based on an operation result, and outputting the second check code. According to the data transmission method applied to the data receiving end, the problem that the abnormal all-zero data frame received by the receiving end passes verification can be avoided.

The invention relates to the technical field of intelligent customer service, and discloses a customer service intelligent dialogue method and system.The method comprises the steps that cross-channel semantic unified processing is conducted on user input texts of multiple target channels, and unified input data is obtained; inputting the unified input data into an expert knowledge enhanced large language model for field rule matching and case retrieval to obtain an intention analysis result; performing command template matching and parameter verification according to the intention analysis result to obtain a structured service command; and executing data query and expression optimization through the structured service command to obtain a reply text conforming to customer service specifications, the method solves the problem of information islands of a traditional system, ensures continuity and consistency of cross-channel services, realizes specialization and standardization of customer service replies, and improves the user experience. And converting the structured business data into natural language expression conforming to the understanding habit of the user.

The invention discloses an on-orbit-based image sensor real-time response correction method, system and equipment and a storage medium, belongs to the technical field of image correction, and solves the problems that an existing method cannot accurately realize on-orbit real-time temperature drift correction of a sensor, the effective dynamic range of an image is reduced, the data transmission broadband is increased, and the data transmission efficiency is improved. And meanwhile, the ground data calculation amount is increased. Comprising the following steps: S1, carrying out ground radiation calibration according to an on-orbit imaging working condition, and obtaining an on-orbit temperature drift calibration coefficient; s2, performing on-orbit real-time temperature drift correction on the image sensor; step S3, performing digital domain TDI and digital domain Bining processing on the real-time response of the image sensor after temperature drift correction to obtain data with a bit width of 16 bits; and S4, converting the data with the 16-bit width into data with the 12-bit width by adopting a segmentation mapping method, and outputting the data with the 12-bit width, so as to complete the correction of the real-time response of the image sensor.

The invention relates to the technical field of customer services, in particular to an intelligent form content filling method, system and device based on natural language processing and a medium, and the method comprises the steps: collecting user voice data and text dialogue data in real time, and converting the user voice data and the text dialogue data into a time sequence aligned text sequence matrix based on the user voice data and the text dialogue data; inputting the text sequence matrix subjected to time sequence alignment into a preset multi-modal text analysis model, and calculating a context tendency value; extracting an intention keyword based on the text sequence matrix of time sequence alignment, inputting the intention keyword into a preset intention recognition model, and outputting a user intention; and generating form filling content according to the context tendency value and the user intention, and outputting the form filling content to the user side. The method has the effects of improving the filling efficiency of the form content and improving the user experience.