253 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.

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.

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 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.

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 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 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 a power system-oriented dynamic knowledge base driven dialogue generation system, method, equipment and medium, and the system comprises a dialect collection and recognition module which is used for collecting dialect voice data under different regional power scenes, carrying out the noise reduction of the dialect voice data, carrying out the dialect recognition through a deep learning model, and obtaining a dialect recognition result; converting the dialect voice data into a standard text; a dynamic knowledge base module; the language processing and image reasoning module is used for receiving the standard text, performing semantic understanding, generating semantic representation in combination with a knowledge base in the dynamic knowledge base module, and performing target detection and recognition on a power equipment fault related image input by a user to obtain an image recognition result; and a dialogue generation module. According to the invention, a cooperative system of four modules of dialect acquisition and identification, a dynamic knowledge base, language processing and image reasoning and dialogue generation is constructed, so that intelligent dialogue service oriented to the power industry is realized.

A system is provided.SOLUTION: The system includes a sound recognition means for collecting a sound datum, a communication means for transmitting the sound datum to a server, a sound recognition engine means for converting the sound datum into a text in the server, a generation AI means for summarizing a sound recognition result, a speech synthesis means for converting the summarized text datum into the sound datum, and a bone-conduction means for transmitting the sound datum to a wearer by bone-conduction.SELECTED DRAWING: Figure 1

Systems and methods to allow for generating a simulated humanoid. The simulated humanoid operates in a simulation space with simulated humanoid having a whole brain emulation module. The whole brain emulation module includes a virtual stimuli input module that is configured to receive or capture stimuli input data. The whole brain emulation module includes an encoder that is configured to translate the stimuli input data into a simulated functional neurodata frame. The whole brain emulation module also includes a brain state module that maintains a current brain state corresponding to a current functional neurodata frame of the simulated humanoid.

A lighting apparatus includes a light source, a power module, a controller, a data input module, a serial-to-parallel converter module, an orthogonal frequency division multiplexing (OFDM) modulation module, a radio frequency (RF) upconversion module and an antenna module. The light source including multiple types of LED modules. The controller generates multiple driving currents supplied to the LED modules. The data input module is coupled to the controller. The data input module receives input data to be transmitted. The serial-to-parallel converter module converts the input data into multiple parallel data streams. The orthogonal frequency division multiplexing (OFDM) modulation module modulates the parallel data streams onto multiple orthogonal subcarriers. The antenna module includes multiple antennas configured to transmit RF signals corresponding to the multiple data streams.

The application discloses a communication method, device, system and train, relates to the field of optical fiber communication, and is applied to a processor in any compartment of a train, wherein the processor is connected with an optical fiber ring network, the processor and train communication equipment in the compartment perform communication data interaction, and then the processor and the optical fiber ring network perform communication data interaction in the form of optical signals, so that the train communication equipment in different compartments can communicate with each other. The communication data is not easy to be lost and is not easy to be affected by electromagnetic interference through the mode of data transmission by optical fibers instead of cables, so that the communication quality of the train communication equipment is improved. Moreover, the communication data of multiple train communication equipments is converted into optical signals and transmitted in the form of a bundle of light, so that multiple communication networks are not needed, and only one optical fiber ring network can realize data transmission of multiple train communication equipments at the same time, so that the complexity of the wiring environment in the train is reduced, and the total weight of the train is reduced.

The invention discloses a robot motion trail generation method and system.The method comprises the steps that a first motion trail of a teaching gun under a tracking coordinate system is collected through a motion tracker, and the first motion trail comprises pose data collected by the motion tracker at multiple different coordinate points; after a robot coordinate system base point is obtained, according to the robot coordinate system base point, pose data in the first movement track are converted into a robot coordinate system, and pose data under the corresponding robot coordinate system are obtained; then, according to the pose data under the robot coordinate system, a second motion track of robot spraying is obtained; and finally, the robot is controlled to conduct spraying operation according to the second movement track. According to the method, the base point of the robot coordinate system is taken as a reference, and the pose change of the first motion track relative to the base point is recorded to represent the track, so that the robot teaching process can be simplified, and the operation efficiency can be improved; and the mapping relation between the teaching track and the robot execution track is established, and the spraying precision is guaranteed.

We provide the system. [Solution] A means for converting the user's voice into text using a speech recognition engine, A means of analyzing text data using natural language processing technology to understand user intent, A server device that generates a response based on intent and provides the generated response as text data, A terminal device that converts text data into speech and plays it back to the user, A system that includes this.

An example apparatus is configured to communicate with a device under test (DUT). The apparatus includes a first interface circuit to communicate with a test instrument using a first protocol and a second interface circuit to communicate with the DUT using a second protocol. The second protocol is a predefined protocol for which the DUT is configured to operate. The first protocol is for connections associated with a first frequency attenuation. The second protocol is for connections associated with a second frequency attenuation. The first frequency attenuation is greater than the second frequency attenuation. Circuitry is configured to perform one or both of the following operations: (i) converting first data received from the test instrument in the first protocol to the second protocol for output to the DUT via the second interface circuit, or (ii) converting second data received from the DUT in the second protocol to the first protocol for output to the test instrument via the first interface circuit.

The invention relates to the technical field of medical data mining and mode recognition, in particular to a special child early disease prediction method based on double-layer granular ball knowledge representation BGBK and three-way role arbitration TRA. The method comprises the following steps: firstly, converting original special child data into multi-granularity granular ball representation through an unsupervised granular ball generation algorithm; a BGBK structure is constructed, and coarse-grained particle ball information and fine-grained sample information are fused; a three-boundary neighborhood rough set theory is utilized to endow semantic roles to the granular balls, wherein the semantic roles comprise a core region, an abnormal boundary and a transition boundary; designing a TRA strategy, and calculating a sample abnormal score in combination with the role influence factor; and finally, constructing an abnormal factor by fusing the abnormal scores under the multi-attribute subspace, and realizing accurate early prediction of the special child disease. The method can effectively process complex special child data, has the advantages of high detection precision, strong robustness, good interpretability and the like, and significantly improves the accuracy of early prediction of special child diseases.

The application discloses a data error correction method and device and a storage medium, and relates to the technical field of data processing. First, the first text data in the first document to be corrected is converted into structured second text data that retains content association, and the target error type of the second text data is identified through semantic analysis. Then, a target error correction engine integrated with an industry knowledge base is called to realize accurate identification and correction of industry-specific errors. In this way, the problem of low accuracy of general error correction tools, inadaptation to industry characteristics and lack of compliance basis is solved. Finally, the error correction result is converted into revision marks supported by the first document, and the revision marks are mapped to the first document, accurate positioning and display of the error correction result in the original first document can be realized, and the user can be quickly focused on the core risk, the error correction accuracy of the document is ensured, and the auditing efficiency of the document is improved.

The invention discloses an LVDS (Low Voltage Differential Signaling) receiving circuit with a wide common-mode input range. The LVDS receiving circuit comprises a common-mode conversion circuit, a main comparator circuit, a secondary comparison circuit and a logical judgment circuit, the common-mode conversion circuit is used for converting an external wide common-mode input differential signal into a signal with constant common-mode voltage and no attenuation of the differential signal; the main comparator circuit identifies the converted differential signal to complete differential-to-single-ended data conversion; the secondary comparator circuit is composed of two low-speed comparators; and the logic judgment circuit judges the output of the main comparator and the window comparator to ensure that the output of the input end of the circuit group is a constant level under the short circuit and disconnection conditions, so that the function of dynamic failure protection of the circuit is realized. The wide common-mode input circuit can realize discrimination of wide common-mode input signals ranging from-4V to 5V, and has a dynamic failure protection function.

The application discloses a data transmission device, method and equipment, relates to the technical field of data transmission, and the data transmission device comprises an Ethernet interface unit, a protocol frame processing unit and a private protocol interface unit. The Ethernet interface unit is used for converting first serial data into first media access control (MAC) frame data when the first serial data transmitted by an optical fiber is received, and transmitting the first MAC frame data to the protocol frame processing unit. The protocol frame processing unit is used for converting the first MAC frame data into a first private protocol data block when the first MAC frame data transmitted by the Ethernet interface unit is received, and transmitting the first private protocol data block to the private protocol interface unit. The private protocol interface unit is used for converting the first private protocol data block into second serial data when the first private protocol data block transmitted by the protocol frame processing unit is received, and transmitting the second serial data to the optical fiber.

An apparatus and system using the apparatus that enables non-native devices to become self-describing modules or communicate in the same protocol as the system protocol used to update data in a medical device and a system describing the medical device. In one embodiment, the translation apparatus described herein includes a processor that translates non-self-describing protocol (SDP) data into an SDP communication standard and connects to other components within a rack, medical device, multi-function medical device, or medical system.

This invention belongs to the field of protocol conversion communication and avionics data communication technology, specifically a smart prefetching system and method based on network-to-1553B stream characteristics. The system includes a stream feature extraction module, a feature analysis module, a prefetching decision module, a prefetching execution module, and a prefetching feedback module. The stream feature extraction module extracts multi-dimensional feature information from the network-to-1553B data stream; the feature analysis module establishes a data stream behavior prediction model; the prefetching decision module uses a multi-strategy fusion mechanism to calculate the optimal prefetching strategy; the prefetching execution module completes data prefetching and protocol conversion; and the prefetching feedback module monitors the prefetching effect and optimizes the model. This invention targets the protocol characteristics of the 1553B bus, improving data transmission efficiency through intelligent prefetching, and is suitable for network-to-1553B data conversion scenarios in avionics systems.

Embodiments relate to a display device and a method of driving the same. The display device in one or more examples includes an eye-tracking unit configured to capture a viewer image, a control unit configured to convert an externally input image signal into image data, identify a viewer's position relative to a display module based on the viewer image, and align and output the image data based on a view map corresponding to the viewer's position, a data driver configured to convert the image data output from the control unit into a data voltage and output the data voltage, and the display module configured to display a three-dimensional image based on the data voltage.

The invention relates to a universal serial bus hub device and a control method thereof. The universal serial bus hub device comprises a first downlink port, an extensible host controller interface, a second downlink port, a router and an uplink port. The first downlink port is configured to receive first universal serial bus data. The extensible host controller interface is configured to convert the first universal serial bus data to peripheral component interconnect express data. The second downlink port is configured to receive second universal serial bus data. The router is configured to convert the peripheral component interconnect express data to the first tunnel data and convert the second universal serial bus data to the second tunnel data. The uplink port is configured to output the first tunnel data and the second tunnel data.

A computer-implemented federated studies system and method are disclosed. The system includes: a predefined common data model associated with a study; a set of sites of origin, each associated with a set of input devices for acquiring study data from subjects and a study data device. Each study data device includes: a database for storing study data derived from input devices; a data model translator for translating study data to a common data model format; a common model database for storing, in the data model, individual participant values derived from study data; a study compute module for determining site aggregate values from individual participant values; and an aggregate database for storing site aggregate values. A site of analysis is associated with a study analysis device that includes: an analysis compute module for processing site aggregate values received from sites of origin; and a reporting module for generating study reports.

A system is provided.SOLUTION: A system, comprising: means for collecting voice data input by a user; means for transmitting the voice data to a server; means for converting the voice data into text data by the server; means for translating the text data into a specified language by the server; means for converting the translated text data into voice data by the server; and means for outputting the translated voice data to the user.SELECTED DRAWING: Figure 1

An electronic device with wireless circuitry is provided. The wireless circuitry can include a radio-frequency data converter block configured to receive baseband signals and to output corresponding radio-frequency signals to a radio-frequency power amplifier. The radio-frequency data converter block may include one or more radio-frequency digital-to-analog converter (DAC) cells configured to receive an oscillator signal. The radio-frequency data converter block can exhibit a gain that is controlled using gain control circuitry. The gain control circuitry can control the gain of the radio-frequency data converter block by selectively enabling switchable components within each DAC cell to realize an incremental gain step of a first resolution and by adjusting the duty cycle of the oscillator signal to realize an incremental gain step of a second resolution finer than the first resolution.

The invention discloses a teaching data supervision method and system based on machine learning, and relates to the technical field of teaching supervision. A teaching data acquisition environment is established, teaching related data is acquired in the teaching data acquisition environment, and data preprocessing is performed on the teaching related data; further converting the teaching related data into teaching standardized operation data; performing feature extraction on the teaching standardized operation data to obtain corresponding teaching event measurement features, establishing teaching event behaviors according to the teaching event measurement features, assigning corresponding feature quantized values to the teaching event behaviors, and constructing a teaching supervision model through a machine learning technology to realize teaching supervision. And obtaining historical teaching data to carry out model training on the teaching supervision model so as to generate an abnormal behavior quantification interval of the teaching supervision model, inputting all teaching event behaviors into the teaching supervision model, and supervising and obtaining the abnormal teaching event behaviors.