646 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.

Protocol detection circuits for detecting the field device protocol of a field device attached to a channel having a data line are sequentially connected to the data line by a controller that communicates to the field device through the protocol detection circuits. The protocol detection circuits are disconnected from the field device after protocol detection is completed. The channel may be one of a number of channels; the controller may also connect and disconnect the protocol detection circuits from the one channel whereby the protocol detection circuits can be used with any channel. After the protocol of the field device is identified a protocol adapter can be inserted into the channel to enable data conversion between the field device protocol and an another protocol used by the channel for data transmission.

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.

A machine learning model can be run with a first input data to obtain a first output from the machine learning model. A first rule representing an interpretable explanation for the machine learning model predicting the first output can be obtained. A modified rule can be received, which changes the first rule. A transformation function can be generated, which transforms a given input data for inputting to the machine learning model to a new input data based on decision boundaries of the machine learning model and the modified rule. The first rule, the first output, the modified rule, and the transformation function can be stored in a first table.

The invention relates to an automatic switching method and system adaptive to multiple communication protocols, and the method comprises the steps: executing the wake-up operation of a controller after an instrument is powered on, and monitoring a data frame on a CAN bus; extracting a CANID (Controller Area Network Identifier) in the data frame, matching the CANID with a preset manufacturer handshake command list, and judging whether a handshake command exists or not; if the matched handshake instruction exists, determining a corresponding manufacturer communication protocol type; according to the manufacturer communication protocol type, determining a corresponding CAN message analysis method and a CAN message sending method; receiving a first CAN message, and analyzing the first CAN message by using a CAN message analysis method to generate display data; and obtaining operation data of the user, converting the operation data into a second CAN message according to the CAN message sending method, and sending the second CAN message to the controller. The application has the effect of improving the communication efficiency.

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.

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 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.

The invention relates to a task response strategy generation method and device, equipment, a storage medium and a program product. The method comprises the steps of obtaining voice instruction data input by a user, wherein the voice instruction data is used for indicating a robot to execute a target task indicated by the user; converting the voice instruction data into text instruction data; according to context information corresponding to the user, the text instruction data are recognized, task instructions contained in the target task are determined, and the context information comprises historical task data meeting association conditions of the target task; according to the task instruction, response strategy data of the robot for executing the target task is determined. By adopting the method, the accuracy of the task response strategy generated by the robot can be improved.

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 present invention discloses a method and device for evaluating a multi-modal large model for urban governance based on multi-level texts, comprising the following steps: obtaining the true label text of a sample picture and the output text of the multi-modal large model for urban governance; using an urban management thesaurus to segment the text into independent words and calculating the similarity score of lexical units; using the urban management thesaurus to create a bag-of-words model to convert the text data into a word frequency matrix and calculating the low-level word frequency similarity score; using a trained language model to extract semantic features with context in the text and converting them into vector representations, and calculating the semantic similarity score; using a general large language model with a formatted request with business guiding words and evaluation requirements to obtain the high-level semantic similarity score corresponding to the text; and combining the similarity scores at each level to calculate the comprehensive evaluation score of the multi-modal large model. The present invention fully considers the similarity measurement in the multi-level space of texts, improving the accuracy of evaluating the text output of the urban governance large model.

The invention relates to the technical field of text recognition, and discloses a text recognition method and system for an electric power audit service. The method comprises the following steps: acquiring and preprocessing historical data of an electric power auditing service; using an OCR technology to convert historical data into a digital sequence training set; constructing a BiLSTM model, setting an attention mechanism layer in the model, performing training evaluation on the model, and adjusting parameters based on reliable indexes to control a loss function to obtain a final model; and deploying the model in a power auditing system to realize text recognition. According to the method, the input sequence can be processed from two directions through the BiLSTM model, so that richer text information is captured, features and semanteme in the text are effectively extracted, important information of related features and semanteme is automatically concerned, irrelevant information is ignored, automatic recognition of the text and extraction of key information are achieved, and the recognition efficiency of the text is improved. And the text recognition efficiency for processing the power audit service is improved.

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.

The invention discloses a conference summary generation method and device based on a voice recognition technology, and a medium, and belongs to the technical field of voice recognition. The method comprises the following steps: segmenting collected conference audio data through a preset window to obtain a plurality of conference audio clips; performing timbre identification on any conference audio clip so as to determine spokesman information contained in any conference audio clip; segmenting and splicing the plurality of conference audio clips according to the spokesman information to obtain a plurality of speaking clips taking the spokesman information as a unit, and arranging the plurality of speaking clips according to a time sequence to obtain conference speaking data; performing voice recognition on the conference speaking data to convert the conference speaking data into a conference speaking text, the conference speaking text at least comprising the spokesman information; and performing conference feature extraction on the conference speaking text, and performing structured processing on the extracted conference features to generate a conference summary.

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 data security technology, and discloses a medical data trusted processing method based on an intelligent contract, which comprises the following steps: a key generation center generates system public parameters and a system master key; the data purchaser initiates a medical data transaction application to the block chain platform according to the transaction number, the medical data processing keyword and the data purchaser IP address, and deploys an intelligent contract in the block chain platform; the data purchaser and the data manager serve as two transaction parties to generate data demand features according to the smart contract; the data manager encrypts the medical data according to the data demand features to obtain encrypted medical data; the data manager performs zero-knowledge verification, and the proxy re-encryption module converts the encrypted medical data into an intermediary ciphertext and sends the intermediary ciphertext to the data purchaser; and the data purchaser decrypts the medium ciphertext to obtain the medical data. The invention further provides a system of the medical data credible processing method based on the smart contract, data privacy can be protected, and the maintenance cost of the medical data can be reduced.

Provided are embodiments for a heating, ventilation, and air conditioning (HVAC) system for providing sensor information and sensor communication over relay-controlled power line. The system can include a controller of the HVAC system and a first power line converter coupled to the controller. The first power line converter is configured to receive data over a serial bus, convert the data into a communication message for transmission onto a power line, wherein the power line is configured to transmit power and communication messages, and transmit the communication message over the power line. Also provided are embodiments for transmitting and receiving a communication message over relay-controlled power line.

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.

To provide a system with a sign language translation function that makes healthy persons understand contents of sign language used by hearing-impaired persons as speech.SOLUTION: Provided is a data processing system with a data processor 12 and a smart device 14, which is a system with a sign language translation function that allows a hearing-impaired person and a healthy person to directly communicate with each other. In specification processing by a specification processing part 290 in the data processor 12, sign language contents used by the hearing-impaired person are recorded by a camera; the recorded video data are analyzed by a sign language recognition module; the sign language contents are extracted as text data; the text data are converted to audio data by a voice synthesis module; and the audio data are outputted from a speaker.SELECTED DRAWING: Figure 2

An embodiment includes a method of determining a collision-free space for a robotic welding system. The method includes fixing a location of a part to be welded in a 3D coordinate space of a robotic welding system. An arm of the robotic welding system is moved around the part within the 3D coordinate space. Data corresponding to positions and orientations of the arm in the 3D coordinate space are recorded as the arm is moved within the 3D coordinate space around the part. The data is translated to swept volumes of data within the 3D coordinate space. The swept volumes of data are merged to generate 3D geometry data representing a continuous collision-free space within the 3D coordinate space.

The invention relates to a transmission mode conversion circuit, a chip and electronic equipment. The circuit comprises a data conversion module and a control signal generation module, the plurality of data input ports and the plurality of data output ports are connected with the data conversion module and are used for transmitting different types of data signals; the plurality of control signal input ports and the plurality of control signal output ports are connected with the control signal generation module and are used for transmitting different types of control signals; the data conversion module is used for converting the data signal of the original transmission mode input by the gated data input port to generate a data signal of a target transmission mode, and outputting the data signal of the target transmission mode from the gated data output port; and the control signal generation module is used for generating a plurality of target control signals according to the original control signals input by the gated control signal input port, and outputting the target control signals through the gated control signal output port. According to the embodiment of the invention, multiplexing of the circuit can be realized, and the workload of repeated development is reduced.

The invention discloses an autism spectrum disorder diagnosis method and device, equipment and a medium, and the method comprises the steps: obtaining audio and video data of a test patient, and converting the audio and video data into behavior log data; and converting the behavior log data into script description data, inputting the script description data and doctor question data into a preset large language model, and obtaining a diagnosis reason and a diagnosis result of the autism spectrum disorder of the tested patient. Compared with the prior art, the method has the advantages that massive clinical data is not needed, and only video signals and audio signals of normal form interaction between a doctor and a tested patient during diagnosis in the testing process need to be converted into script description data which can be understood by a large language model; and then, a diagnosis reason and a diagnosis result of the autism spectrum disorder of the tested patient are generated by utilizing logical reasoning and text generation capability of the large language model, so that the diagnosis result is quickly obtained, and the diagnosis credibility of a doctor is further improved.

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.