18 results about "Scalable design" patented technology

Methods, systems, and devices for wireless communications are described. A forwarding device (e.g., a reconfigurable intelligent surface (RIS)) may transmit a capability message indicating one or more timing parameters associated with a time duration for the forwarding device to switch a set of forwarding elements from forwarding in a first direction to forwarding in a second direction. The forwarding device may receive, based on the indicated one or more timing parameters, one or more control messages that instructs the forwarding device to forward signal energy in the first direction during a first symbol period and to forward signal energy in the second direction during a second symbol period. The first symbol period may be different from the second symbol period. The forwarding device may include a primary array including a first set of forwarding elements and a secondary array including a second set of forwarding elements.

Planetary Intelligence (PI) arises from multiple Artificial General Intelligences (AGIs). These AGIs collaborate over a self-extending, global, problem solving network. Each AGI is comprised of a network of (human and AI) intelligent entities. Each AI entity can be customized and personalized with specific human values and knowledge. Alignment results from many AI entities combining their human-centered values democratically, using representative and statistically valid methods. Safety is designed into the system and scales as AGIs and PI increase in intelligence and speed. The modular, scalable design of PI integrates more than 100 novel inventive systems and methods. Specific inventions include: a universal problem solving architecture and methods; new methods for AI learning and customization; methods for integrating intelligent entities; catalysts for increasing intelligence; superior monetization methods; attentional systems enabling awareness, and self-awareness; methods for ethical conflict resolution; and methods for maximizing human-alignment and the safety of AI, AGI, and PI.

Examples of the systems and methods discussed herein provide an encapsulation scheme that may contain a base mesh bitstream, sub-mesh(es), and / or displacement information, providing efficient storage and transmission of the content in an extensible container, such as an ISO Base Media File Format (ISOBMFF) container. In particular, examples of the systems and methods discussed herein provide a generic and scalable design to support carrying sub-components of a video-based dynamic mesh coding (V-DMC) or similar bitstream, such as a base mesh, sub-meshes, and displacement information, in an ISOBMFF media container.

An autonomous and adaptable AI-powered robotic workstation system is designed for diverse real-world applications. This includes a configurable workstation seamlessly integrating a dynamic robotic hand, endowed with real-time decision-making capabilities. The workstation features an automatic calibration and self-configuration mechanism utilizing six-axis motion for task execution, ensuring alignment and auto-positioning via cameras. A dynamic and no-code onboarding process with auto-calibration captures and stores product onboarding, optimization of object categorization and prioritizing captures using vision AI. The system also includes a vision-based operations module with AI-driven functionality, integrated hardware, scalable design, calibration capabilities, and unification of specified operations within the same workstation system.

Examples of systems and methods discussed herein provide an encapsulation scheme that may include a base mesh bitstream, sub-mesh(s), and / or displacement information, which provides efficient storage and transmission of content in an extensible container such as an ISO Base Media File Format (ISOBMFF) container. In particular, examples of systems and methods discussed herein provide a general-purpose and scalable design that supports the transport of sub-components of a Video-Based Dynamic Mesh Coding (V-DMC) or similar bitstream, such as a base mesh, sub-mesh(s), and displacement information, in an ISOBMFF media container.

Systems and methods for resource management using a scalable resource management database are provided. A resource management tool accesses a resource management database. The resource management tool determines a size of an attribute value corresponding to an attribute of a resource instance satisfies a predetermined size threshold. The resource management tool determines a query frequency associated with the attribute value satisfies a predetermined frequency threshold. The resource management tool creates a value index table based on a value table, the value index table excluding the attribute value satisfying the predetermined size threshold and the predetermined frequency threshold.

Systems and methods for resource management using a scalable resource management database are provided. A resource management tool accesses a resource management database. The resource management tool determines an attribute value corresponding to an attribute of a resource instance comprises an object array. The object array includes a plurality of array features. The resource management tool converts the plurality of array features to a plurality of converted attributes. The resource management tool updates an attribute table by replacing the attribute of the resource instance with the plurality of converted attributes for the resource instance. The resource management tool updates a value table by adding one or more group identifications for grouping a plurality of attribute values corresponding to the plurality of converted attributes for the resource instance.

The invention relates to a method for the scalable design of an electric drive unit.The inventive method for the scalable design of an electric drive unit using a computer-aided system comprises the input of scaling or parameterizing input values ​​for geometric and performance-related characteristics of the electric drive unit, the processing of the input values ​​by a pre-trained AI surrogate model based on a training database of empirical benchmark data and / or simulation-based data, and the output of predicted electromagnetic, thermal, and / or cost-related output values, wherein, after the output, a confidence assessment of the predicted output values ​​is carried out and, if a predetermined confidence criterion is not met, a physical simulation is automatically triggered, the simulation results of which are fed back to the training database for the extension of the AI ​​surrogate model.

Systems and methods for resource management using a scalable resource management database are provided. A resource management tool accesses a resource management database. The resource management tool determines an attribute value corresponding to an attribute of a resource instance comprises an object array. The object array includes a plurality of array features. The resource management tool converts the plurality of array features to a plurality of converted attributes. The resource management tool updates an attribute table by replacing the attribute of the resource instance with the plurality of converted attributes for the resource instance. The resource management tool updates a value table by adding one or more group identifications for grouping a plurality of attribute values corresponding to the plurality of converted attributes for the resource instance.

Disclosed herein are system, method, and device embodiments for deploying a highly reliable, consensus-based agentic AI system that processes natural language requests to provide deterministic, consistent, and verifiably accurate responses. The agentic AI system may prioritize reliability, transparency, trustworthiness, and deterministic behavior using structured communication, consensus mechanisms, and a scalable design. The capability to provide deterministic behavior and consistent outcomes may make the consensus-driven genetic AI tool especially suitable for applications requiring high levels of accuracy and trust.

The utility model provides an extension module and an edge computing unit, and relates to the technical field of edge computing. The expansion module comprises a protective shell and an expansion interface main body slidably connected in the protective shell, a plurality of first connecting pieces are arranged between the protective shell and the expansion interface main body, and the first connecting pieces are used for connecting the protective shell and the expansion interface main body and limiting the moving track of the expansion interface main body so as to prevent the expansion interface main body from being separated from the protective shell; the first connecting piece comprises a first sliding groove formed in the side wall of the protective shell, a first connecting block is slidably connected into the first sliding groove, and the first connecting block is fixedly connected with the side wall of the expansion interface body. According to the application, the protection shell and the expansion interface main body are arranged, and the expansion interface main body is movably arranged in the protection shell, so that the expansion interface main body of the application adopts a telescopic design, and the expansion interface main body can be retracted into the expansion interface main body for protection when not in use.

The invention relates to an intelligent ship dynamic test system based on a distributed architecture. Comprising a navigation radar, a visible light and infrared panoramic setup system, a comprehensive navigation situation sensing system, an intelligent steering system, an intelligent collision avoidance system, an automatic berthing and leaving system, an intelligent integrated propeller propelling device, an intelligent deep sea winch and a wind power boosting rotor intelligent control system. And asynchronous data communication between the acquisition system and an upper computer is realized by subscribing to a published communication protocol, and time synchronization of data of a dynamic test system is realized. According to the invention, a dynamic test architecture with variable functions is established by applying a distributed, systematic and extensible design, and full-link connection, instant sharing, dynamic evaluation and visual result display of ship data are realized by integrating an edge test sensor, an edge computing power, an efficient data middle table and advanced application test software in a whole ship range.

The utility model discloses a ring main unit protection, measurement and control integrated device, and relates to the technical field of digital measurement and control integrated machines. The device comprises a main control unit and a sensing unit. The protection, measurement and control integrated device for the ring main unit adopts a modular extensible design and is composed of a main control unit, sensing units, aviation plug cables and the like, each module adopts an embedded design and is connected through a one-to-two network cable, one digital main control unit is connected with eight digital sensing units at most, and the digital sensing units are connected with the digital main control unit at most. Reasonable and orderly access of the distributed power supply is promoted, safe and reliable operation of the power distribution network is realized, real-time monitoring and control of power grid operation are realized, the intelligent level and the operation efficiency of a power system are improved, and the safety and the reliability of a power supply system are enhanced.

The present application discloses a computer room modular design system, method and storage medium, the system includes a warehouse management module for constructing a computer room material model and establishing model coding rules to encode and manage the computer room material model, the computer room material model includes: a component model, a pipeline model and a residual material pipeline model; an algorithm module is used to execute a design algorithm to obtain the computer room material model from the warehouse management module according to the design requirements to design the economic module design of the computer room; a learning optimization module optimizes the economic module design of the computer room by learning the collected case models to obtain the modular design of the computer room. The present application solution can reduce the complexity and risk of on-site construction while forming a customized and scalable design solution, respond to the actual product component requirements of the construction to achieve seamless connection between design and construction, improve the efficiency of computer room material use while evaluating the design performance of computer room modules.

The invention relates to the technical field of computers, and discloses a method for realizing residence of a real-time operating system under an embedded architecture, which is characterized by comprising the following steps of: S1, determining a universal embedded computer architecture: determining a universal embedded computer architecture, which is a basis for realizing the residence method, the architecture can support the operation of a real-time operating system and provide necessary interfaces and services; the method has the advantages that by setting measures for solving defects, richer documents and training resources are provided, and developers are helped to master new technologies more quickly; standardized hardware and software components are adopted, and the necessity of customized development is reduced, so that the cost is reduced and the efficiency is improved; and a modular and extensible design method is encouraged to be adopted, so that the system can adapt to different hardware platforms and demand changes more easily, and the measures have the effects of improving the development efficiency, reducing the cost, simplifying the learning process and enhancing the expandability of the system.

The invention discloses a machine room modular design system and method and a storage medium, and the system comprises a warehouse management module which is used for constructing a machine room material model and establishing a model coding rule to carry out the coding management of the machine room material model, and the machine room material model comprises a component model pipeline model and an excess material pipeline model; the algorithm module is used for executing a design algorithm and obtaining a machine room material model from the library management module according to design requirements to design an economic module of the machine room; and the learning optimization module learns the collected case model and optimizes the economic module design of the machine room to obtain the modular design of the machine room. According to the scheme, the complexity and risk of site construction can be reduced, meanwhile, a customized and extensible design scheme is formed, seamless joint of design and construction is achieved in response to the actual product component requirement of construction, and the machine room module design performance is evaluated while the machine room material use efficiency is improved.

The present invention relates to a remote AI monitoring and control unit designed for industrial automation. This unit integrates multiple communication protocols, advanced artificial intelligence (AI) capabilities, and enhanced security features to autonomously or semi-autonomously monitor and control industrial processes. The unit supports a wide range of communication protocols, including MQTT, USART, CAN bus, I2C, SPI, Modbus, Profibus, DeviceNet, EtherNet / IP, CANopen, PROFINET, BACnet, DNP3, and HART, ensuring seamless interoperability with various industrial devices. It features adaptive communication, predictive maintenance, anomaly detection, and edge AI processing. Enhanced security is achieved through blockchain integration, AI-based threat detection, and multi-layered encryption. The unit also incorporates energy-efficient operation with energy harvesting and AI-optimized power management. An augmented reality (AR) interface provides real-time data visualization and remote assistance. The modular and scalable design allows for easy customization and expansion, while a user-friendly software interface offers customizable dashboards and AI-driven insights.