314 results about "Alias" patented technology

A distributed indexing and resolution architecture is disclosed for decentralized systems requiring modular, trust-scoped mutation control and dynamic alias governance. The system comprises a plurality of index entries arranged in a parent-child hierarchy, each associated with a structured alias and governed by one or more anchor nodes. Anchors perform localized resolution, mutation validation, and restructuring operations under deterministic policy constraints, enabling semantic scope enforcement and entropy-sensitive adaptation without requiring global consensus or centralized control. The architecture supports scoped alias traversal, asynchronous mutation proposals, and elastic anchor registration based on system state metrics. The indexing substrate may be integrated into heterogeneous infrastructures, including systems comprising distributed software agents, semantic execution platforms, or pseudonymous identity frameworks. Anchors coordinate within defined trust domains to ensure lineage continuity, dynamic rekeying, and semantic integrity across independently governed segments of a decentralized namespace.

The invention discloses a false information multi-source association reasoning system based on a knowledge graph, and the system comprises a data collection and standardization module which is used for carrying out the multi-source collection and duplicate removal of a text, and generating a structured input data set; the semantic extraction and normalization module is used for executing alias merging and disambiguation and outputting a semantic extraction result; the entity alignment module is used for cross-platform entity matching and confidence evaluation, entity identification unification and attribute and alias merging; the graph construction and anchor point module is used for constructing a fact graph and a traceability graph; the candidate constraint generation module is used for forming a candidate constraint set based on the multi-source evidence statistics support degree; the space-time constraint and weight reduction module is used for executing path consistency and joint constraint according to Allen and RCC8 to obtain an updated evidence weight result; and the evidence chain and pushing module is used for enumerating and scoring the evidence chain and pushing the evidence chain through an external interface. According to the invention, false information multi-source association reasoning is realized.

A solution for renting crypto domains is developed using a special type of smart contract called a renewal controller that is assigned to each crypto domain upon registration. In the system a crypto domain that is registered in blockchains is used as an alias for a crypto address where it is possible to assign a renewal controller to each name in such a way that it cannot be unassigned for the life of the name, e.g., until the name expires.

The invention discloses a vehicle work order verification method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the steps of obtaining a work order picture detection result and a work order text extraction result corresponding to a to-be-verified vehicle work order; carrying out alias conversion processing on the work order text extraction result based on a pre-configured alias library to obtain a converted work order text extraction result; performing data consistency verification based on the work order picture detection result and the converted work order text extraction result to obtain an image-text data verification result; and extracting image features and text features from the image-text data verification result, and determining a reexamination verification result of the to-be-verified vehicle work order based on the image features and the text features. According to the embodiment of the invention, work order verification can be automatically carried out, the verification cost is reduced, and the verification efficiency and the accuracy of the verification result are improved.

Systems and methods are described for generation and execution of modified queries. An input can be received via a visualization of a user interface. The input may identify a first field value and a first field for execution of a query. A set of data for execution of the query can be identified based on the input. Alias data may identify a second field that is associated with the first field. Using the alias data, a modified query can be generated based on the query and the second field. The modified query can be executed to generate query results. The query results can be displayed via a visualization of the user interface based on the first field.

The invention relates to the technical field of caching, in particular to a data processing method and device, equipment and a medium, and the method comprises the steps: obtaining a first virtual index and a first physical identifier of a data access request; according to the first virtual index and the first physical identifier, determining whether the request data is hit in the first-level cache; determining whether the same identifier exists in a lookup table according to the first physical identifier, wherein each register in the lookup table stores a uniquely corresponding physical identifier, a virtual index, a cache way number and a significant bit; if the request data are not hit and exist, accessing the corresponding request data from the first-level cache according to the second virtual index and the cache path number in the lookup table; if the first virtual index is not hit and does not exist, sequentially adjusting alias bits of the first virtual index; and accessing the data based on the physical identifier corresponding to each cache path number corresponding to the third virtual index obtained by adjustment in the first-level cache and the first physical identifier. The data access efficiency can be improved.

The invention discloses a graph theory-based industrial internet identification system full-process tracing method, which realizes full-process tracing in a supply chain by introducing identifier fields into metadata and constructing a directed graph structure. The identifier fields include fields with similar representations for representing associations of the product upstream and downstream of the supply chain. The system queries across enterprises through a graph traversal algorithm (such as depth-first search (DFS) or breadth-first search (BFS)), and tracks the full life cycle of a product. The method supports attribute pointing code management, is used for tracing multi-attribute information (such as allocation weight, time and the like) of a product, solves cross-enterprise and cross-system coding differences through an alias mechanism, and simplifies a tracing process. The method has a flexible traceability path setting capability, can monitor the product circulation process in real time, gives out an early warning when an abnormality is found, and improves the transparency and safety of a supply chain.

Systems, apparatus, articles of manufacture, and methods are disclosed for aliasing scopes in access tokens. An example apparatus includes interface circuitry, machine readable instructions, and programmable circuitry to at least one of instantiate or execute the machine readable instructions to detect a request to create an identity to access an online resource, the message including at least one scope assignment associated with a user of the computing device, determine that an alias has not been created for the at least one scope assignment, the alias to represent two more scopes assigned to the user, and generate the alias for the scope assignment, the alias having less characters than the scope assignment.

A software package is received and unpacked into multiple components comprising plural functions. Each function is lifted from machine code into static single-assignment intermediate representation and tokenized to produce semantics-preserving embeddings. Intermediate-representation data-flow features are extracted, including detection of constant static variables on a stack, stack reaching definitions, uninitialized variables, and intra-procedural aliases. For each component, the embeddings and features are input to a machine-learning model trained on semantic properties derived from a corpus of software packages to generate a software supply chain risk level. Data characterizing the risk level is provided to a consuming application. When the risk level satisfies a remediation criterion, a remediation action is initiated, including generation of a source-code patch recommendation for an identified root-cause function, insertion of a runtime guard into the component, or issuance of a security advisory for distribution to a security operations dashboard.

The invention belongs to the technical field of natural language processing and geographic information systems, and particularly relates to a region address standardization method based on knowledge graph enhanced retrieval. Cleaning and preprocessing the original address text input by the user; utilizing a fine-tuned large language model to identify a geographic entity and performing standardized expansion on variant expression to generate a query candidate set; entity linking and context retrieval are carried out based on the knowledge graph, and attributes, hierarchy and spatial topology information of associated entities are obtained; in combination with the original input and the map context, an enhanced retrieval query text is generated through large language model reconstruction; vectorized semantic retrieval is carried out through the fine-tuned embedding model, and a preliminary candidate address set is obtained; carrying out multi-dimensional refined sorting by adopting a resorting model; and generating a structured standard address by using a large language model, and outputting the structured standard address after multi-level verification. According to the method, the problems of ambiguity resolution, alias recognition and context understanding in address processing are solved, and the accuracy and robustness of address standardization are improved.

A cloud computing platform provides zero trust network access as a service to customers that maintain applications on-premises. In this context, the cloud computing platform may associate customers and / or applications with specific service proxies, and add an abstraction layer for network access that maps an alias domain for each customer and / or application to a network load balancer associated with the specific service proxies associated with the corresponding application(s). This approach advantageously simplifies the configuration of service proxies at the cloud computing platform by permitting dedicated relationships among network load balancers, specific service proxies, and specific applications, while concurrently reducing or avoiding the administrative burden on customers of updating network pointers when the clusters of service proxies are periodically reconfigured to adjust to varying user traffic.

The invention relates to an IPv6 network space active address and port detection method and device, and belongs to the technical field of network detection. The method comprises the following steps: (1) retrieving network resources; (2) active address detection is divided into a non-seed address scene, a few-seed address scene and a multi-seed address scene, a non-seed address scene generation model, a few-seed address scene generation model and a multi-seed address scene generation model are provided, and candidate addresses are generated respectively; (3) respectively carrying out alias prefix detection and alias removal on active addresses found in a non-seed address scene, a few-seed address scene and a multi-seed address scene, and adding newly found addresses after alias removal into an active IPv6 address library; and (4) predicting active ports of the active IPv6 addresses by using a decision model based on a naive Bayes classifier and utilizing all input features, and completing dynamic feedback scanning through a distributed active detection facility to realize accumulation of the active addresses and ports from nothing to existence and from few to many.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. Embodiments herein disclose methods and systems for providing support for ad hoc group calls in mission critical services. The method includes listing, by an MCPTT client, a list of MCPTT participants or a functional alias to initiate an ad hoc group call in a MCX on network. The method further includes initiating, by the MCPTT client, the ad hoc group call with a list of MCPTT participants or the functional alias by sending a group call request to an MCPTT server.

The invention belongs to the related technical field of graph calculation and streaming data processing, and particularly relates to a streaming graph-oriented random walk acceleration method, which comprises the following steps of: storing vertex information by adopting a hierarchical graph storage architecture consisting of a base layer, a dynamic extension layer and a chain storage layer, enabling neighbor ID (Identity) intervals stored in each layer to be different, and according to the degree change of a target vertex, carrying out random walk acceleration on the target vertex; dispersing and storing neighbors in different layers through a cross-layer migration mechanism; dividing neighbor information of the target vertex into a plurality of independent partitions, and independently constructing an alias table for each partition; a DPST is constructed for each target vertex, and one node maintains one partition to accumulate and add all neighbor weight values; when the neighbor weight of the target vertex changes, modifying the alias table of the changed partition, and updating the DPST; resampling is started from the position where the target vertex appears for the first time in all the migration sequences, and a sampling mode is selected according to the size relation between the weight skew factor of the target vertex and the threshold value. According to the invention, the random walk speed can be improved.

Methods of linking data with a token associated with a user account, methods of supplying relevant content, and servers and computer software configured to perform the methods A method of a server (100) enabling a client (130) to link data with a token associated with a user account is provided. The method comprises receiving a first token associated with the user account. The method further comprises determining a stable alias associated with the token, wherein the stable alias is associated with the user account. The method further comprises determining a second token associated with the stable alias. The method further comprises providing the second token to the client (130). One of the first token and the second token are associated with data, such that providing the second token to the client enables the client to link the other of the first token and the second token with the data, without knowledge of the stable alias.

A machine learning service implements programmatic interfaces for a variety of operations on several entity types, such as data sources, statistics, feature processing recipes, models, and aliases. A first request to perform an operation on an instance of a particular entity type is received, and a first job corresponding to the requested operation is inserted in a job queue. Prior to the completion of the first job, a second request to perform another operation is received, where the second operation depends on a result of the operation represented by the first job. A second job, indicating a dependency on the first job, is stored in the job queue. The second job is initiated when the first job completes.

The invention provides a large-scale-oriented IPv6 target address generation method and a large-scale-oriented IPv6 target address generation system. The method comprises the following steps: constructing an IPv6 seed address set based on an IPv6 capacity expansion strategy of sampling distribution and an IPv6 classification strategy based on an address structure; clustering the IPv6 seed address set to construct an IPv6 address space tree so as to generate a low-dimension IPv6 address mode set and a high-dimension IPv6 address mode set; generating an IPv6 target address set in the low-dimension IPv6 address mode space, and removing IPv6 alias addresses in the IPv6 target address set to obtain a non-alias target address set; a non-alias target address set in a low-dimension IPv6 address mode space is detected, an active high-dimension IPv6 address mode is screened out from a high-dimension IPv6 address mode set according to the detected IPv6 active address, an IPv6 target address set is generated in a corresponding space of the active high-dimension IPv6 address mode, IPv6 alias addresses are removed, and the IPv6 address mode is obtained. After a non-alias target address set is obtained, detecting the non-alias target address set and collecting responded IPv6 active addresses; and combining the IPv6 active addresses detected in all the seed address sets to form a final IPv6 active address set.

The present disclosure proposes computer implemented methods, devices and systems for implementing an addressing service for transactions associated with a distributed ledger, wherein an alias is provided for a client among one or more clients associated with the addressing service, the alias being specific to the client. The method comprises the steps ofobtaining or accessing a plurality of seed words; for a given alias associated with a given client among the one or more clients, encoding the alias and applying a hash function to the encoded alias to obtain a hash value; extracting a first series from the hash value; and determining at least one seed word from the plurality of seed words based on the first series, the at least one seed word representing a code for the given alias.

The invention belongs to the technical field of industrial data processing, and provides an intelligent material matching method and system fusing multi-modal features and fuzzy matching, and the technical scheme is that data in obtained electronic component list data is analyzed, key characters in character strings are identified, and a constructed mapping table is called to carry out mapping replacement on the key characters, so that the matching accuracy of the electronic component list data is improved. Obtaining each field parameter of the mapped electronic component; performing matching based on the constructed manufacturer alias knowledge graph and the mapped manufacturer field parameters to obtain a manufacturer matching result; screening the mapped material number parameters to obtain a material number candidate set, performing semantic similarity calculation based on the material number candidate set and a constructed special word vector model in the field of electronic components, when the similarity is greater than a set threshold, performing accurate matching, otherwise, triggering fuzzy matching, calculating a service score according to a matching result, and obtaining a service result; and performing multi-objective optimization based on a service score result to obtain an optimal matching scheme. And the matching accuracy and the purchasing decision-making efficiency are obviously improved.

The invention provides an inter-beam bunch signal aliasing calibration method based on a cavity probe. The inter-beam bunch signal aliasing calibration method comprises the following steps: acquiring a non-aliasing reference signal from a high repetition frequency free electron laser device; extracting a signal waveform of each beam bunch and a measurement result thereof from the aliasing-free reference signal; modeling to obtain a residual signal formula; obtaining a calibration result of the beam bunch based on a residual signal formula and a vector calibration algorithm according to the measurement result of the aliasing signal waveform and the standard waveform of the previous beam bunch; taking the next beam bunch as the current beam bunch, and returning to the step of obtaining the calibration result; and obtaining calibration results of all the beam bunches until all the beam bunches are calibrated. According to the method, the amplitude-phase characteristics of the attenuation wake of the adjacent beam bunches are modeled and compensated through the vector calibration algorithm, the time domain aliasing effect in the high-repetition-frequency free electron laser device is effectively eliminated, and the phase absolute deviation measured by the beam arrival time of the cavity probe is reduced to the femtosecond magnitude.

Disclosed in some examples are methods, systems, and devices for authenticating a firmware object on a device and in some examples to safeguard the attestation process from the execution of malicious firmware. In some examples, a firmware update process may, in addition to updating the firmware on the device, write a hash of the authentic firmware code in a secure storage device (e.g., a register). This may be done in some examples in a protected environment (e.g., a trusted execution environment or a protected firmware update process). Upon first boot after the update, a firmware update checker compares the firmware object that is booted with the value of the secure storage device. If the values match, the alias certificate may be regenerated, and the boot continues. If the values do not match, then the alias certificate may not be regenerated, and the system may have an authenticity failure because the key and the certificate do not match.

The present disclosure generally relates to identifying an actual velocity of an object and in particular, for identifying an actual velocity of an object by taking into consideration alias velocities computed using a radar device. A process of the disclosed technology can include steps for transmitting a set of radar pulses to determine an initial velocity estimate associated with an object, calculating a first peak energy return value corresponding with the initial velocity estimate, and selecting an alias velocity based on the first velocity estimate. In some aspects, the process can further include steps for calculating a second peak energy return value corresponding with the alias velocity, and comparing the first peak energy return value with the second peak energy return value to determine an actual velocity of the object. Systems and machine-readable media are also provided.

Methods, non-transitory computer readable media, and a data server that assist with enabling conversational access to tabular data includes determining in response to a user input, tabular data comprising a header row with header data in each column and one or more table data rows with row data in each column. A first prompt is provided to a large language model to generate a dummy table comprising the header row and a dummy row with dummy row data in each column and a dummy table is received. An alias table comprising the header row and an alias row with alias row data in each column is generated. A second prompt is provided to the large language model to generate a dummy row text representation of the dummy row data, wherein the dummy row text representation includes the alias row data inserted as placeholders of the dummy row data and the dummy row text representation is received. A row text representation is generated for each of the one or more table data rows by replacing the alias row data in the dummy row text representation with row data of corresponding ones of the one or more table data rows.

A device comprising a communication circuit; a processor, and a memory coupled to the processor. The memory stores processor-executable instructions that configure the processor to: receive verification of a signed transaction coordinator authentication token, the received verification comprising initialization data including a first proxy user discovery identifier associated with a user transaction identifier and a first alias identifier; receive input representing a request to alter the first alias identifier to a second alias identifier; transmit a signal representing the request to alter the first alias identifier; receive, from the transaction coordinator system, a second proxy user discovery identifier associated with the user transaction identifier and the second alias identifier for the downstream short-range transfer data process; and communicate a discovery packet via a short-range network, the discovery packet including the second proxy user discovery identifier and a data flag indicating that the discovery packet includes discovery data.

According to the branch prediction method provided by the invention, the branch prediction result is obtained by indexing the historical branch prediction instructions in the branch prediction condition table, and the relevance between the historical branch prediction instructions can be well utilized, so that the success rate of branch prediction is greatly improved; meanwhile, the last four bits of the branch prediction instruction and values in the global historical register are subjected to logical operation, an operation value is obtained and then indexed, and the influence of the alias of the branch prediction instruction on branch prediction can be reduced; meanwhile, when the branch prediction result is skipping and the operation code of the branch prediction result is matched with the operation code of the indexed historical branch prediction instruction, the branch prediction result is trusted, so that the branch prediction accuracy is further improved; and moreover, the jump address is obtained by adopting a direct operation method, so that the area overhead and the delay caused by storing a large number of branch addresses by the BTB (Branch Target Buffer) can be saved.

The invention relates to the technical field of information retrieval, and discloses a term standardization query method and system based on a large language model, and the method comprises the steps: receiving original query, dialogue history and multi-modal input; analyzing the multi-modal input to generate an extended context; candidate aliases are extracted through natural language processing, and a domain term knowledge base is inquired in combination with a term list; adjusting the priority weight according to the user role and the real-time context; constructing a structured prompt including dialogue history, original query, extended context, candidate schemes and task instructions, and inputting a large language model to generate a replacement decision; updating the knowledge base based on user interaction data and model feedback; historical query records are stored to assist in follow-up reasoning. According to the invention, the picture, the PDF and the voice input are analyzed through the multi-modal context enhancement module, the extended context containing the term list and the semantic clue is generated, comprehensive context support is provided for term standardization, and query processing is ensured to adapt to various enterprise scenes.

The invention discloses a zero-sample multi-modal relation extraction method based on a multi-modal large model, which comprises the following steps of: constructing prototype information containing tag names, descriptions and aliases for seen and unseen relation categories, and encoding and aggregating the prototype information into prototype vectors; extracting feature representation of a training sample through a multi-modal large model, and performing fine adjustment on the model by updating low-rank adapter parameters based on the feature representation and a known category prototype vector; and for the input containing the unseen category, extracting the features of the input by using the fine-tuned model, and completing relation identification in combination with the prototype vector of the unseen category. According to the method, the structured prototype knowledge is injected into the low-rank fine tuning process, so that the model keeps semantic perception of the unseen relationship while absorbing the domain knowledge, the relationship extraction accuracy and generalization ability in a zero sample scene are remarkably improved, and the data annotation cost is effectively reduced.

The invention relates to the technical field of network space security, in particular to an IPv6 address prediction method and system based on a double-space tree, and the method comprises the steps: dividing an address seed set into seed address subsets of different BGP prefix spaces according to an open-source BGP prefix list; generating a double-address space tree by taking the seed address subset of each BPG prefix space as a unit; extracting leaf nodes in the prefix space tree and the suffix space tree and splicing the leaf nodes in the prefix space tree and the suffix space tree to generate a candidate address mode; and according to the number of the seed addresses in the BGP prefix space, carrying out descending sort on the BGP prefixes and setting address generation priorities, so as to carry out address generation in the corresponding BGP prefix space according to the sequence of the address generation priorities, and obtaining a candidate address set in the corresponding BGP prefix space through address alias deletion. According to the method, active addresses and more / 64 active address prefixes can be found more efficiently, scanning of a large number of possibly inactive addresses in a BGP prefix space is avoided, and the efficiency of an IPv6 address prediction process is improved.

A system and method for improving login processes with a unique login-interface system is disclosed. The unique login-interface system allows users to subscribe, join, or sign-up for an automatic login interface that does not require explicit registration other than inclusion in a messaging system. The messaging system may be any number of systems such as email, text messaging, phone calls, or any other messaging system in which there is a user identification or alias associated with a user. The user identification may be of any type that is presented or recognized in a computing world. The unique login-interface system includes an identity-provider application with a collision-resolution engine to ensure unique user identity credentials and an inference engine to identity multiple participant entries for a single user.

A method is disclosed. The method includes receiving, by a server computer from a user device comprising a transfer application via a communications network, contact data for a plurality of potential users on the user device. The method also includes searching, by the server computer a database, for a set of aliases associated with the potential users in the contact data. The method also includes providing, by the server computer via the communications network, the set of aliases to the user device. The user device is programmed to store the set of aliases in the transfer application, receive a selection of an alias associated with a user, and initiate an interaction with the alias using the transfer application.