41 results about "Autonomic computing" patented technology

The present application relates to a BIM-based hanging basket design method, computer device and computer-readable storage medium, wherein the design method comprises following steps: a parameter acquisition step; a hanging basket modularization step: decomposing structures of hanging baskets into a plurality of design modules; a selection step; a calculation step: calculating parameters of the design modules using a structural mechanics calculation method and / or a finite element calculation method; preliminary BIM model building step: building models of the design modules and a preliminary BIM model of the hanging basket; an optimization iteration step: converting the preliminary BIM model of the hanging basket into a finite element model for calculation, and feeding calculation results back to the preliminary BIM model for structural adjustment, repeatedly performing iterative calculations to obtain optimized hanging basket parameter data; final BIM model acquisition step: the BIM model of the hanging basket adjusted according to the optimized hanging basket parameter data is a final BIM model of the hanging basket. The design method enables autonomous calculation and design of the hanging basket with good versatility.

The present invention provides an autonomous computing system for cryptographic asset tokenization, digital currency operations, redemption, detokenization, and full lifecycle management of tokenized assets. The system leverages formal cryptographic proofs, hybrid off-chain and on-chain ledger synchronization, and automated execution protocols to enhance regulatory compliance, asset-backed stability, and operational autonomy. Smart contracts, cryptographic hash-based commitments, and distributed validation mechanisms ensure secure, verifiable, and tamper-resistant transactions across decentralized, centralized, and hybrid environments. The system governs the entire token lifecycle by intrinsically linking asset state validation to both on-chain and off-chain records. Hardware-agnostic cryptographic processing enforces governance rules, validates asset-backed token states, and prevents over-issuance. Real-time integrity checks and automated reconciliation deliver a scalable, cryptographically secured framework for autonomous management of tokenized assets and digital currency transactions, minimizing reliance on intermediaries.

The invention discloses a discrete manufacturing full-life-cycle intelligent computing system and method, the system comprises a data knowledge layer, a computing adaptation layer and a parallel service layer, a virtual matching mechanism is used between the data knowledge layer and the computing adaptation layer, that is, primary mapping is formed according to task demand description and manufacturing resource description in a twin world, an optimal algorithm is called for a specific task, the most reasonable resources are adapted, an optimal service strategy is obtained, and a mapping process from a service demand to the service strategy is realized; a virtual-real parallel computing mechanism is used between a computing adaptation layer and a parallel service layer, that is, a mutual linkage relation is established in a physical world according to a service execution strategy obtained in a twin world, so that the requirement of discrete manufacturing full-life-cycle intelligent service is met, and the mapping process from a service strategy to service execution is achieved. And through two times of mapping, autonomous computing adaptation of task-knowledge-algorithm-resource in the whole life cycle of discrete manufacturing is realized.

A system for signaling intent of an autonomous vehicles. The system is comprised of a memory storing executable instructions representing a signaling display module on a trailer of an autonomous vehicle. The system also comprises a processor coupled to the memory and configured to execute the signaling display module. The processor is configured to receive data from an autonomy computing system descriptive of a condition near the autonomous vehicle, process the data to generate a message relating to the condition indicating a remedial action of the autonomous vehicle in response to the condition, and transmit the message to a signaling display on the trailer prior to executing the remedial action.

The invention discloses a distributed control-based stacker scheduling method, system and device and a medium, the stacker comprises a lifting module, a walking module and a pallet fork module, the lifting module, the walking module and the pallet fork module are each provided with a control module, and the method comprises the following steps of: aiming at a target task, controlling the lifting module, the walking module and the pallet fork module; optimal action sequences are calculated through control modules configured for the lifting module, the walking module and the pallet fork module respectively; based on the optimal action sequence, a scheduling strategy is generated in a bus negotiation conflict mode; and performing scheduling control on the stacker according to the scheduling strategy. By adopting a distributed control mode, each functional module of the stacker is independently configured with a control module, so that each module can autonomously calculate an optimal action sequence, the coupling degree among the modules is greatly reduced, and the scheduling efficiency and reliability of the stacker are improved.

An autonomous vehicle is provided. The autonomous vehicle includes one or more sensors and an autonomy computing system. The autonomy computing system includes at least one processor in communication with at least one memory device. The at least one processor is programmed to receive sensor data from the one or more sensors, and receive weather-related data from a mission control computing system. The weather-related data include fleet data from autonomous vehicles in a fleet. The fleet includes the autonomous vehicle. The at least one processor is further programmed to determine an icy condition is present based on the sensor data and the fleet data, and determine de-icing strategies based on the icy condition.

An autonomous vehicle includes sensor(s) configured to acquire sensor data of an environment surrounding the autonomous vehicle, where the autonomous vehicle operates within the environment. The autonomous vehicle also includes an autonomy computing system including a processor(s) programmed to divide lanes in the environment into segments of a predetermined longitudinal length and determine attributes of at least one of the segments. The processor(s) also analyzes, using a neural network model, the segments and attributes associated with the segments, where the neural network model is configured to receive input segments represented with the attributes as inputs and output a viable segment among the input segments to merge into. Furthermore, the processor(s) determines a viable segment among the segments to merge the autonomous vehicle into, based on the analysis, and controls operation of the autonomous vehicle based on the viable segment.

An autonomous vehicle is provided. The autonomous vehicle includes one or more sensors configured to detect data relating to an environment surrounding the autonomous vehicle and object(s) included within the environment. The autonomous vehicle also includes at least one autonomy computing system in communication with the sensor(s). The autonomy computing system(s) includes at least one processor in communication with at least one memory device, and the processor(s) is programmed to define an anticipated spatial occupancy of the autonomous vehicle within the environment, and compute drivable space within the environment based on the data detected by the sensor(s). The processor(s) is also programmed to calculate a drivable space consumption (DSC) ratio based on the defined, anticipated spatial occupancy for the autonomous vehicle within the environment and the computed drivable space within the environment, and provide a risk level for the autonomous vehicle based on the calculated DSC ratio.

This application discloses a method, apparatus, vehicle, and storage medium for calculating sleep duration. The solution includes: acquiring and recording timestamps according to a preset cycle while the controller is running; calculating the time interval between the two most recent timestamps; and calculating the sleep duration of the controller based on the time interval and the preset cycle. This solution enables application-layer programs to autonomously calculate sleep duration without relying on external hardware, communication resources, or low-level permissions, solely through their own accessible system clock and timing mechanism, thus improving reliability. Furthermore, this solution requires no additional hardware, reducing costs; it only performs a simple difference calculation after the controller wakes up, minimizing resource overhead; and its core logic does not depend on specific hardware or low-level system interfaces, facilitating portability and deployment on different vehicle ECU platforms.

A system includes a heat exchanger coupled to a first fluid loop in thermal communication with an autonomy computing system of a vehicle. The heat exchanger facilitates heat transfer from fluid in the first fluid loop to an ambient environment. The system also includes a heat pump of a second fluid loop in selective thermal communication with the first fluid loop to remove heat from the fluid in the first fluid loop. The system includes a valve coupled to the first fluid loop to regulate at least one characteristic of the fluid in the first fluid loop to regulate cooling provided by the heat exchanger or the heat pump. The system includes a controller to operate the valve and control the heat removed from the fluid in the first fluid loop by at least one of the heat exchanger or the heat pump.

A system includes a heat exchanger coupled to a fluid line in thermal communication with an autonomy computing system of a vehicle. The heat exchanger is configured to facilitate heat transfer from fluid in the fluid line to an ambient environment. The system also includes a chiller coupled to the fluid line and configured to remove heat from the fluid when the fluid is directed to the chiller and a bypass connected to the fluid line and extending downstream of the chiller. The system further includes a controller configured to operate a valve to direct the fluid in the fluid passageway to the chiller or to the bypass.

To provide a block chain-based method and system.SOLUTION: A method comprises a step of submitting a transaction to a block chain, where the transaction (Tx1) comprises an unspent output (UTXO) that includes a Redeem script that requires provision of a notification address within metadata of an unlocking script in order to spend the unspent output (UTXO). The Redeem script further comprises a value indicating how many notification addresses must be supplied by the unlocking script.SELECTED DRAWING: Figure 1

An autonomy computing system of an autonomous vehicle for object detection in adverse environmental conditions is provided. The at least one processor of the autonomy computing system is programmed to receive sensor data from one or more sensors of a plurality of modalities, the second sensor data being in a bird's eye view (BEV). The at least one processor is further programmed to extract first features and second features in the environment, and to fuse, in the BEV, the first features and the second features into first enriched features and second enriched features. The at least one processor is also programmed to detect object proposals based on the first enriched features and the second enriched features, predict objects in the environment based on the object proposals, and control operation of the autonomous vehicle based on predicted objects.

Systems, apparatuses, methods, and computer program products are disclosed for autonomously deriving consumption of fuel. An example method includes receiving a transaction request and determining a fuel pump location associated with a fuel pump identifier. The example method further includes determining a current price of a fuel type at the fuel pump terminal based on the fuel pump location and deriving a total fuel redemption volume based on the current price of the fuel type. The example method further includes updating a fuel availability data structure associated with a user account.

This invention relates to the fields of artificial intelligence and computational materials science, and discloses a method and system for autonomous material discovery based on a large language model. The method includes: the system receiving computational task instructions in natural language form; a cognitive layer calling a large language model agent to process the instructions and outputting structured instructions containing action instructions and parameter sets; a control bridging layer merging and pattern-validating the parameter sets based on preset system parameters, generating file entities and writing them to the processing path; an execution layer starting a background daemon process and triggering atomic movement instructions from the operating system; a computation module parsing the file entities, initializing a graph neural network model, and performing iterative computation; during the computation process, collecting and transmitting runtime status data including a loss function, and having the large language model agent dynamically generate the next round of computational task instructions based on the numerical values. This invention establishes a closed loop of instruction parsing, mutual exclusion scheduling, and physical computation, improving the stability of autonomous material computation.

This invention relates to a blockchain-based method and system. [Solution] The method according to the present invention includes the step of submitting a transaction to the blockchain, the transaction (Tx1) including an unused output (UTXO) which includes a Redeem script that requests the provision of notification addresses in the metadata of an unlock script in order to use the unused output (UTXO), the Redeem script further including a value indicating how many notification addresses must be provided by the unlock script.

A network device includes a processor and a non-transitory computer-readable storage medium storing logic executable by the processor to perform operations. The operations include receiving, from a second network device, an advertisement for a subnet and a first value of an inbound path preference attribute of a routing protocol; determining a link speed of a link between the network device and a third network device; determining a second value of the inbound path preference attribute based on the received first value and the determined link speed; advertising the subnet to the third network device in association with the second value of the inbound path preference attribute; and routing a data packet from the third network device to the second network device in accordance with a routing table comprising a routing entry based on the first value of the inbound path preference attribute.

A system for signaling intent of an autonomous vehicles. The system is comprised of a memory storing executable instructions representing a signaling display module on a trailer of an autonomous vehicle. The system also comprises a processor coupled to the memory and configured to execute the signaling display module. The processor is configured to receive data from an autonomy computing system descriptive of a condition near the autonomous vehicle, process the data to generate a message relating to the condition indicating a remedial action of the autonomous vehicle in response to the condition, and transmit the message to a signaling display on the trailer prior to executing the remedial action.

A system includes a heat exchanger coupled to a first fluid loop in thermal communication with an autonomy computing system of a vehicle. The heat exchanger facilitates heat transfer from fluid in the first fluid loop to an ambient environment. The system also includes a heat pump of a second fluid loop in selective thermal communication with the first fluid loop to remove heat from the fluid in the first fluid loop. The system includes a valve coupled to the first fluid loop to regulate at least one characteristic of the fluid in the first fluid loop to regulate cooling provided by the heat exchanger or the heat pump. The system includes a controller to operate the valve and control the heat removed from the fluid in the first fluid loop by at least one of the heat exchanger or the heat pump.

Apparatus and methods are provided in relation to an autonomous computer system that can defend against known and unknown virus and malware attacks. Various embodiments include a Virus Autonomous Defense System (VADS) can on its own without human intervention once it is turned on. Embodiments can incorporate hardware coupled with various types of artificial Intelligence software and systems to perform response functions including closing ports that are being compromised, analyze an attack, and develop software scripts (signatures) to defend against future attacks, and create responses which defeat an attack that can include a follow on response of freeing up an attacked port for continual operation.

An autonomy computing system and a method of an autonomous vehicle for rectifying stereo images includes a memory storing computer executable instructions and a processor coupled to the memory, the processor, upon execution of the computer executable instructions, configured to: receive an image pair captured using respective cameras in the stereo camera pair; predict a rotation matrix between the first image and the second image by: extracting a first feature map and a second feature map; applying positional feature enhancement on the feature maps to derive a pair of enhanced feature maps; computing a correlation volume across the enhanced feature maps; determining a set of likely matches between the enhanced feature maps; computing a predicted relative pose; and computing the rotation matrix. The system and method further include calibrating the stereo camera pair to rectify the first image and the second image based on the rotation matrix.

An autonomy computing system of an autonomous vehicle for object detection in adverse environmental conditions is provided. The at least one processor of the autonomy computing system is programmed to receive sensor data from one or more sensors of a plurality of modalities, the second sensor data being in a bird's eye view (BEV). The at least one processor is further programmed to extract first features and second features in the environment, and to fuse, in the BEV, the first features and the second features into first enriched features and second enriched features. The at least one processor is also programmed to detect object proposals based on the first enriched features and the second enriched features, predict objects in the environment based on the object proposals, and control operation of the autonomous vehicle based on predicted objects.

The invention provides an industrial college school-enterprise resource sharing intelligent scheduling system based on supply and demand matching, and solves the problem of non-transparent resource information by constructing a resource digital archive and a dynamic sensing network; by introducing an intelligent scheduling engine fusing approximate dynamic programming rolling optimization and multi-agent game equilibrium decision, an overall optimal and individual rational resource scheduling scheme can be autonomously calculated and output in a complex environment, the resource comprehensive utilization rate and the supply and demand matching precision are remarkably improved, and resource conflicts and idleness are effectively avoided; a performance incentive and cost allocation mechanism based on contribution degree quantification and dynamic integral is designed, a VCG and other incentive compatibility theory is embedded into a scheduling process, and a technical scheduling rule and an economic incentive rule are creatively integrated, so that the defects of extensive resource allocation and unsustainable collaboration in the prior art are systematically solved, and the scheduling efficiency is improved. And core technical support is provided for digital treatment and high-quality development of industrial colleges.

An event reporting system includes at least one autonomous vehicle where the at least one autonomous vehicle includes an autonomy computing system. At least one processor of the autonomy computing system is programmed to receive sensor data. The at least one processor is also programmed to detect an event is present by evaluating the sensor data. The at least one processor is further programmed to log sensor data related to the event. The event reporting system includes an event reporting server computing system including at least one processor programmed to receive logged sensor data related to the event from the at least one autonomous vehicle. The at least one processor is also programmed to process the logged sensor data and report the event by comparing with a database and sending the event to an external party based on the comparison.

The invention relates to a low-delay identification friend or foe verification method based on real-time identification public key calculation, and belongs to the technical field of identity authentication and identification friend or foe. According to the method, an identification device locally calculates an identification public key in real time, a signature is generated in combination with a random number, an identification number and a task context, and identity authentication is completed through data packet transmission. A receiving end identification device does not need to depend on a central system, and performs signature verification by analyzing a data packet and calculating a public key, so as to judge a target attribute. The method supports a plurality of encryption algorithms, is compatible with symmetric and asymmetric mechanisms, and is suitable for complex combat scenes such as distributed, broken links and unmanned formation. Compared with a traditional identification mode depending on central control or a preset key, the method has the characteristics of decentralization, autonomous calculation, high security, quick response and the like, and the deployment flexibility, combat survivability and adaptive capacity of the system are improved.

An autonomy computing system of an autonomous vehicle for controlling quality in planning a trajectory of the autonomous vehicle is provided. The at least one processor of the autonomy computing system is programmed to process sensor data received from one or more sensors of an autonomous vehicle, and generate a trajectory of the autonomous vehicle based on the sensor data and a plurality of rules. At least one of the plurality of rules corresponds to at least one of a plurality of costs. The at least one processor is further programmed to generate a log of violations of the plurality of rules at one or more nodes along the trajectory, and transmit the log over a wireless communication channel to a remote computing device. The log includes explanations of the violations in a human readable language.

An autonomous vehicle selectively couplable to a trailer includes at least one sensor configured to capture data of an environment in which the autonomous vehicle operates and an autonomy computing system operably coupled to the at least one sensor. The autonomy computing system includes at least one memory device in communication with at least one processor programmed to receive the sensor data from the at least one sensor as the autonomous vehicle is in motion, determine velocity of objects in proximity to the autonomous vehicle based on the sensor data, identify one or more rotating objects among the objects in proximity to the autonomous vehicle as wheels of the trailer coupled to the autonomous vehicle based on the velocity, determine a wheelbase of the autonomous vehicle coupled to the trailer based on the wheels, and control operation of the autonomous vehicle coupled to the trailer based on the wheelbase.

The present disclosure relates to an autonomous vehicle fleet routing system. The system includes a fleet of autonomous vehicles. Each autonomous vehicle includes an autonomy computing system. Additionally, a mission control computing system is provided, which communicates with each autonomous vehicle in the fleet. This mission control computing system includes a processor and a memory. The processor is configured to perform multiple functions including routing each autonomous vehicle to a designated destination. It also receives crash reports from the vehicles, which include location data related to crashes. Based on these reports, the system identifies which vehicles' routes are affected by the crash, calculates the operational losses for these routes, and generates alternative routes to minimize these losses. Commands are then transmitted to the affected vehicles to execute these alternative routes, enhancing fleet efficiency and reducing downtime caused by unforeseen incidents.

A data split computing device for developing autonomous vehicles is provided. At least one processor of the data split computing device is programmed to receive a development dataset having scenes, at least one of the scenes having operating conditions. The at least one processor is further programmed to process, via a data split machine learning model, the development dataset. The data split machine learning model is configured to generate a mask array indicating whether a scene is to be allocated to a training dataset or a testing dataset. The at least one processor is also programmed to compute a cost function based on the mask array, and optimize the data split machine learning model to balance distribution of the operating conditions. The at least one processor is programmed to split the development dataset into the training and testing datasets and output the training and testing datasets.

An autonomous computing system for cryptographic asset tokenization 100, digital currency operations 101, redemption 103, detokenization 104, and full lifecycle management of tokenized assets. The sys