270 results about "Digital object" patented technology

Disclosed are methods, systems, and non-transitory computer readable memory for processing, analyzing, and visualizing complex digital object sets using large language models. For instance, a method may include receiving a set of digital objects; indexing the received set of digital objects to generate indexed data; generating a timeline prompt based on the indexed data; processing the timeline prompt to generate a timeline response; and outputting the timeline response as an interactive timeline of based on the set of digital objects.

Disclosed are methods, systems, and non-transitory computer readable memory for processing, analyzing, and visualizing complex digital object sets using large language models. For instance, a method may include receiving a set of digital objects; indexing the received set of digital objects to generate indexed data; generating a timeline prompt based on the indexed data; processing the timeline prompt to generate a timeline response; and outputting the timeline response as an interactive timeline of based on the set of digital objects.

Generative media content (e.g., generative audio) can be dynamically generated based on various inputs, which can include blockchain data. A playback device accesses blockchain data stored via a distributed ledger and generates media content based at least in part on the blockchain data. The playback device can access a library of pre-existing media segments and arrange a selection of pre-existing media segments from the library for playback according to a generative media content model and based at least in part on the blockchain data. The generated media content can then be played back via the playback device.

The invention belongs to the technical field of bridge engineering, and particularly discloses a proxy model and finite element fusion method and system for bridge safety early warning. Comprising the following steps: simulating a real load of a bridge by adopting a structural multi-scale finite element model to calculate a bridge structural response, constructing a finite element agent model, and training the finite element agent model by adopting a data set to extract a relationship between weight matrix analysis and output items of a neural network; and in the refined grid division part, considering the damage directly observed by the structure, dividing the model parameters extracted from the monitoring point by the model parameters directly corrected by the damage to obtain a final corrected model. According to the method, sensor signal processing, model correction and finite element calculation are closely combined together through neural network analysis, a method basis is provided for dynamic evolution of a digital object fusion model, and technical support is provided for subsequent bridge structure safety evaluation and health early warning.

Methods and systems enabling multimodal inputs for interacting with a live digital object are provided. The system receives the live digital object which includes a digital artifact extracted from a digital model file through a model representation. The system receives a user's security level and determines the user's access permission and modification permission to access and modify the digital artifact. The system accesses a multimodal interface configured to receive a conversational input and a spatial input, outputs the digital artifact to the multimodal interface based on the access permission, receives from the multimodal interface a conversational input and a spatial input from the user, and generates a modified digital artifact from the digital artifact via the digital model representation, based on the modification permission and on the conversational or spatial input. The multimodal interface may include conventional interfaces (GUIs / APIs), conversational interfaces (text / voice), and spatial computing interfaces (VR / AR / MR / gestural).

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for verifying the provenance of a digital object generated by a neural network, such as an image or audio object. Also methods, systems, and apparatus, including computer programs, for training a watermarking neural network and a watermark decoding neural network. The described techniques make efficient use of computing resources and are robust to attack.

The invention discloses a data sharing and tracing method and system based on a block chain, and relates to the technical field of block chains and distributed identifier analys.The method comprises the steps that a global unique identifier is allocated to a digital object through a data networking identifier analysis system, and a metadata mapping relation between the global unique identifier and the digital object is recorded into a block chain network; when a data sharing request is responded, calling an identifier analysis system to position a target digital object, verifying the authority of a requester, recording an access event, generating transaction data, and writing the transaction data into a block chain network; and according to the transaction data recorded in the block chain network, constructing a full-life-cycle tracing chain of the digital object, querying the circulation history of the digital object from the tracing chain according to a time sequence, an operation type or a participant, and verifying the data integrity of the digital object. According to the method, the accuracy and efficiency of data positioning are improved, the security and controllability of data sharing are enhanced, and efficient query of data circulation history and accurate positioning of tampering behaviors are guaranteed.

Systems and methods of enabling and providing digital objects across multiple environments are provided. A computer-implemented method includes: receiving, by a provider institution computing system, a request to associate a card with a digital object; generating, by the provider institution computing system, at least one filter that defines prohibited content for card images; extracting, by the provider institution computing system, image content from the digital object; determining, by the provider institution computing system, that the image content satisfies the filter; associating, by the provider institution computing system, the digital object with the card in a database of the provider institution computing system; and causing, by the provider institution computing system, a provisioning of the digital object associated with the card to a provider institution client application associated with the provider institution to display the digital object as being associated with the card.

The invention provides an urban lifeline pipeline corrosion risk early warning method based on digital twinning, and the method comprises the following steps: S1, obtaining pipeline internal operation parameters, pipeline external environment parameters and external corrosion rate data according to a monitoring control system and detection equipment; s2, constructing an internal corrosion rate prediction model based on digital object fusion and a physical guidance neural network; s3, constructing an external corrosion rate prediction model based on a particle swarm optimization algorithm and a relevance vector machine; s4, performing completion and time registration on the external corrosion rate data of the pipeline according to a spline interpolation method; s5, constructing a pipeline corrosion risk grading early warning method; and S6, according to the steps S1 to S5, establishing an underground pipeline full-life service cycle corrosion risk early warning system based on digital twinning. According to the method, real-time corrosion risk grading early warning and residual life prediction are achieved for the multiphase flow underground pipeline in the full-life service cycle, and detection, maintenance and maintenance work of the multiphase flow underground pipeline under the corrosion risk is guided.

A method and a server for adapting a diffusion model are provided. The method comprising: receiving a given plurality of images of a given object; receiving a respective textual description for the given object; generating, based on the given plurality of images, a training set of data including a plurality of training digital objects; sampling, from the plurality of training digital objects, a given reference training digital object for using during a validation step; in cycles, executing the validation step by feeding a given reference training digital object to the diffusion model; in response to a convergence metric associated with a loss function at a given cycle of executing the validation step being below a predetermined threshold, terminating the adapting the diffusion model.

The invention relates to the technical field of data sharing, and discloses an endogenous security government affair data sharing method based on a digital object architecture. Government affair data, metadata, computing resources and an access mechanism are packaged into a standardized data container, a multi-level government affair data space is constructed, and a collaborative architecture of cloud centralized management and control and edge node autonomous operation is achieved. Based on a digital object architecture, a unique identification code is allocated to each data resource, and accurate positioning and efficient access of data are realized through an identification analysis system. A dynamic heterogeneous redundant architecture and a mimicry judgment mechanism are adopted, potential attack risks are restrained from the bottom layer, and data sharing safety is guaranteed. And in combination with a block chain technology, the traceability and non-tampering property of the service directory and the data calling information are ensured. According to the method, the principle of'availability but not availability 'of data is considered, the efficiency, safety and supervision transparency of cross-department and cross-regional government affair data sharing are improved, and the method has important application value.

A system for rendering an augmented image frame includes a sensor, an interface, a memory, a processor, and a display. The sensor captures an environment image of an external environment of a vehicle that includes a physical object. The interface receives an augmentation class to be applied to the environment image frame. The memory stores an augmentation engine that causes the processor to receive the environment image frame and the augmentation class. The augmentation engine further causes the processor to determine an identity and location of the physical object, and retrieve a digital object associated with the physical object and the augmentation class. Subsequently, an augmented image frame is rendered including the digital object disposed at the location of the physical object in the external environment. Finally, the display depicts the augmented image frame to present the user with an aesthetically appealing synthetic view of the external environment.

The invention relates to a virtual hand grasping perception and exoskeleton force feedback mapping method based on virtual-real interaction, and belongs to the technical field of virtual reality, the method comprises the following steps: building a hand exoskeleton, and reading joint data in real time; calculating the pose of each joint coordinate system of the virtual hand relative to the virtual world; according to the calculated poses of all the joints of the virtual hand, the virtual hand is driven to synchronously move with the hand exoskeleton in real time; collision and contact events of the virtual hand and the digital object are monitored in real time, and virtual interaction force generated when the virtual hand interacts with the digital object is calculated; calculating feedback torque required to be output by each hand exoskeleton motor of the hand exoskeleton, and driving the motors to output corresponding feedback force through a motor controller of the hand exoskeleton, so as to realize force feedback of the hand. According to the method, the interaction reality sense in the virtual reality application can be enhanced, the user can interact with the virtual environment more naturally in an immersive mode, and the user experience is improved.

A digital object architecture infrastructure includes a handle system that stores handle data and a proxy server that caches handle data for rapid access. A client connects to the proxy server to request access to the handle data. When the handle data does not have access restrictions and is currently cached, the proxy server returns the handle data to the client without accessing the handle system. When the handle data does not have access restrictions and is not cached, the proxy server obtains the handle data from the handle system, caches a copy of the handle data for future access, and provides the handle data to the client. The proxy server may cache encrypted handle data that is subject to access restrictions, cannot be decrypted by proxy server, and can be provided to a client determined to be allowed access. The client can then decrypt the encrypted handle data.

A device or space existed in a physical space is registered in the form of a digital object in a virtual space, a digital twin service is provided through connection between an offline device or space and the digital object in the virtual space.

The invention relates to the technical field of archive storage, and discloses an archive storage system and method based on a digital object architecture, and the system comprises a unique identification and relation analysis assembly which is used for generating a globally unique object identifier; the digital object warehouse is used for constructing digital objects; the digital object registry is used for establishing a metadata index which can be retrieved; the distributed account book module is used for forming an on-chain record; and a policy-driven engine for monitoring and receiving the broadcasted structured transactions and determining the affected context scope to execute the embedded lifecycle policy. According to the technical scheme, the electronic original text is constructed into the digital object containing the Merkel tree integrity verification data, and all key operations are recorded in the distributed account book module, so that full-chain trust guarantee of archive data from content to process is realized; therefore, the integrity of the data in the long-term storage process can be effectively verified.

Provided in the present application are an intelligent interaction system and method based on a holographic display device. The system comprises a cloud server, a user terminal and a holographic display device, wherein on the basis of the current contextual information of an application program, a contextual situation event generation module in the user terminal generates a first target contextual situation event associated with a user; a contextual situation event recognition module in the cloud server generates an associated first holographic animation type on the basis of the first target contextual situation event, and sends to the holographic display device a first digital-object-driven message carrying the first holographic animation type; and a holographic animation driver module in the holographic display device parses the first digital-object-driven message, constructs first animation sequence data on the basis of the first holographic animation type, and drives a digital object associated with the user to perform holographic image display. The present application can improve the intelligence and personalization of holographic animation interaction behaviors between a user terminal and a holographic display device, thereby enhancing the usage experience of users.

The present disclosure is directed toward systems, methods, and non-transitory computer readable media that provide a digital design interface for intuitively creating custom arrows that demonstrate both visual consistency and inherent directionality within vector-based design applications. In particular, in one or more implementations, the disclosed systems receive a request to create a custom arrow from a digital object and a path segment. In addition, the disclosed systems detect that the digital object is within a threshold distance of the path segment and combine the digital object with the path segment to create a custom arrow object. In particular, the disclosed systems utilize a bilateral segmentation machine-learning model to segment the digit object and a symmetry axis detection model to determine an axis of symmetry of the digital object. Moreover, the disclosed systems attach the digital object to an endpoint of the path segment at the axis of symmetry.

An augmented reality digital object image placement and anchoring system and process are disclosed. The augmented reality digital object image placement and anchoring system is configured to triangulate synchronized audio output from a user device to the input of a separate electronic coaster device, output an image as input back into the user device, process the image output's visual spectrum and audio spectrum of the audio output to authenticate as an audio / visual pairing, and triangulates placement for anchoring and construction of a defined planar surface that is aligned to a field of view perspective via a three-part frequency-specific LED visual anchor output.

The invention discloses an energy digital network-oriented data fusion discovery method, system and device and a medium. The method comprises the following steps: acquiring each energy digital object oriented to an energy digital network; combining the feature attributes extracted from the metadata of each energy digital object to obtain a text statement set of each energy digital object; utilizing a pre-training language model to extract semantic features of the energy digital object according to the text statement set, and generating a corresponding semantic feature vector; clustering the semantic feature vectors, performing pairwise similarity calculation on energy digital objects in each cluster in an optimal clustering result, and combining the energy digital objects with similarity to form a similar energy digital object combination set; fusing the energy digital objects in each combination in the similar energy digital object combination set to construct a new energy digital object; and complementation of cross-domain energy data is realized.

Disclosed are methods, systems, and non-transitory computer readable memory for processing, analyzing, and visualizing complex digital object sets using large language models. For instance, a method may include receiving a set of digital objects; indexing the received set of digital objects to generate indexed data; generating a timeline prompt based on the indexed data; processing the timeline prompt to generate a timeline response; and outputting the timeline response as an interactive timeline of based on the set of digital objects.

The embodiment of the invention discloses a digital content display method, head-mounted display equipment and a computer readable medium. A specific embodiment of the method comprises the following steps: acquiring an object image set corresponding to a target object; based on the object image set, performing model training on a pre-constructed neural network model to generate digital content display information; loading the digital content display information to a pre-created digital content editing space; and displaying a projection picture of the target object corresponding to the target pose information in the head-mounted display device according to the digital content display information in the digital content editing space. According to the embodiment, a digital content display mode is provided, the imaging of the 3D digital object in each dimension can be displayed with a high reduction degree under the condition of low computing power overhead and time overhead, and therefore the visual experience of a user is improved.

The invention discloses a data processing method and device for a mine safety operation plan, a medium and equipment, and relates to the technical field of data processing.Collected multi-source data is divided into monitoring data and environment data, a geologic model and an engineering model in the environment data are combined, and the monitoring data and the environment data are combined; the method comprises the following steps: obtaining a model of an actual structure of a mine, introducing the model into a physical environment object, mapping real-time monitoring data to the model of the actual structure of the mine through a preset sensor position to realize the combination of a virtual digital object and the physical environment object, and visualizing the monitoring data by taking the model of the actual structure of the mine as a carrier. When the abnormal condition is monitored, the risk and the prediction result thereof are visually marked and reflected on the actual structure of the mine, the visualization effect is improved, data processing, risk identification and visualization are isolated to a certain extent, the processing difficulty of each process is reduced, and the processing efficiency is improved.

The present disclosure relates to systems, methods, and non-transitory computer-readable media that generates object masks for digital objects portrayed in digital images utilizing a detection-masking neural network pipeline. In particular, in one or more embodiments, the disclosed systems utilize detection heads of a neural network to detect digital objects portrayed within a digital image. In some cases, each detection head is associated with one or more digital object classes that are not associated with the other detection heads. Further, in some cases, the detection heads implement multi-scale synchronized batch normalization to normalize feature maps across various feature levels. The disclosed systems further utilize a masking head of the neural network to generate one or more object masks for the detected digital objects. In some cases, the disclosed systems utilize post-processing techniques to filter out low-quality masks.

The invention discloses a digital archive management vulnerability assessment method and system based on multi-dimensional influence factors, and relates to the technical field of digital information management, and the method comprises the steps: collecting an internal data integrity verification result, external file format support data and an associated source flow record of a digital object; calculating a format outdated risk index, a data integrity attenuation degree index and a source flow chain vulnerability index; calculating the weighted sum of the format outdated risk index, the data integrity attenuation index and the source flow chain vulnerability index to generate a comprehensive vulnerability index; and comparing the comprehensive vulnerability index with a preset vulnerability response threshold value, and triggering a disposal process according to a comparison result. According to the method, accurate and prospective measurement of the vulnerability of the digital archives is realized through a multi-dimensional and dynamically quantitative evaluation model, and a key decision basis is provided for an automatic and verifiable long-term storage strategy in combination with a strategy-driven adaptive weight, so that the scientificity and initiative of risk management are remarkably improved.

A method for providing authenticatable data is described. The method is performed at a first device with one or more processors and memory storing instructions for execution by the one or more processors. The method includes generating a commitment string associated with a digital object; generating a signed commitment request based on the commitment string and a private key associated with the first device; and sending the signed commitment request and data indicative of an identity of the first device to a second device that is distinct from the first device. The commitment string includes a content identifier for the digital object. The signed commitment request includes the commitment string and a cryptographic signature for the commitment string.

The invention provides a composite flow limiting method and system for large-flow data transmission based on the Internet of Things, and relates to the technical field of the Internet of Things, and the method comprises the steps: analyzing a protocol header of request data, and determining a target communication protocol of data transmission; determining a target data type and a priority value of the digital object according to metadata in the requested digital object; determining a corresponding first current limiting strategy according to the target communication protocol and the target data type; performing parameter correction on the first current limiting strategy according to the priority value to obtain a second current limiting strategy; and performing current-limiting transmission on the digital object through the second current-limiting strategy. The invention aims to improve the stability of data transmission under a digital networking system.

In implementations of systems for resolving conflicts in collaborative digital content editing, a computing device implements a resolution system to apply a content editing operation to a digital object. The resolution system writes an indication of the content editing operation at a first position of a local transaction stack of editing operations. The resolution system transmits editing data via a network describing the content editing operation for receipt by a server system. Relay data is received via the network from the server system describing an additional content editing operation for application to the digital object. The resolution system determines a conflict between the additional content editing operation and the content editing operation and writes an indication of the additional content editing operation at a second position of the local transaction stack of editing operations that is before the first position.

Techniques for prompt-based image relighting and editing are described that support automatic generation of an edited digital image with high-fidelity and realistic lighting effects and background features. A processing device, for instance, receives as input a digital image that depicts a digital object, a lighting prompt, and a background prompt. The processing device generates a relit digital object that has a lighting condition specified by the lighting prompt applied to the digital object. The processing device further generates a background that includes a feature specified by the background prompt and the lighting condition. The processing device generates an edited digital object for output that includes the relit digital object and the background. The processing device further leverages a shadow synthesis model to edit shadows in the edited digital image. In this way, the techniques described herein preserve content details of the digital object when applying background and lighting effects.