12 results about "Reference architecture" patented technology

The invention provides an evolutionary neural architecture searching method and system based on similarity agent assistance, and the method comprises the steps: 1, initializing an architecture population, and selecting an architecture with the best performance as an initial reference architecture; 2, constructing a graph neural network variant as a feature extractor; 3, constructing an agent model, and training the agent model through a joint loss function; 4, the high-potential architecture is reserved according to the fitness value, authenticity performance evaluation is carried out on the high-potential architecture, and an evaluation result is added into the training set; combining the current population with the high-performance architecture predicted and screened by the proxy model, and updating the population through an environment selection strategy; and step 5, repeating the step 3 and the step 4 until the population performance converges, and finally outputting a global optimal architecture. According to the method, the high-performance neural network architecture can be quickly searched under limited computing resources, and an efficient and intelligent novel solution is provided for automatic design and optimization of the neural network.

The present disclosure relates to utilizing a hierarchical network communication system to efficiently manage and monitor a controlled hierarchical network. In particular, the hierarchical network communication system utilizes gateway services embedded among various architecture levels of a controlled hierarchical network to facilitate secure communications between levels of the hierarchical network as well as with an authorized external computing device or computing system. In various instances, the gateway service includes various components and elements that facilitate inter-network level communication as well as remote management, including monitoring, configuring, and upgrading components and resources at each level of the controlled hierarchical network. Indeed, the hierarchical network communication system facilitates the remote management of a controlled hierarchical network while upholding the strict security and communication protocols required for networks adhering to the Purdue Reference Architecture Model, ISA-95 standards, and ISA-99 standards.

The present disclosure relates to utilizing a hierarchical network communication system to efficiently manage and monitor a controlled hierarchical network. In particular, the hierarchical network communication system utilizes gateway services embedded among various architecture levels of a controlled hierarchical network to facilitate secure communications between levels of the hierarchical network as well as with an authorized external computing device or computing system. In various instances, the gateway service includes various components and elements that facilitate inter-network level communication as well as remote management, including monitoring, configuring, and upgrading components and resources at each level of the controlled hierarchical network. Indeed, the hierarchical network communication system facilitates the remote management of a controlled hierarchical network while upholding the strict security and communication protocols required for networks adhering to the Purdue Reference Architecture Model, ISA-95 standards, and ISA-99 standards.

The present invention discloses a method for constructing a production line topology reference architecture. Based on the big data of the company's historical production line topology, the method uses computers and machine learning algorithms to extract the company's commonly used production line topology reference architectures, forming the company's typical production line topology community. This is conducive to recording the company's typical production line characteristics and production habits, realizing the reuse of production line structure and production line construction knowledge, reducing the workload of production line designers, and improving the efficiency of the company's production line construction. At the same time, the method of the present invention, to a certain extent, eliminates the subjective decision-making interference of designers. The reference architecture extracted by the computer is more objective and has more reference value, and also has higher maturity and stability.

The invention discloses a digital-real fusion test evaluation method and device based on a digital test verification reference architecture, and the method comprises the steps: carrying out the preliminary digital deduction in a digital domain based on physical domain data; a digital domain evaluation method is constructed, and iterative optimization of the digital model is completed; physical domain verification is carried out, and a comparison evaluation method of digital domain and physical domain results is established; and combining physical domain data and digital domain evaluation indexes, continuously iteratively optimizing until actual requirements are met, and then applying to real installation. According to the method, dynamic calibration and fusion verification between a physical domain and a digital domain are realized by constructing a digital-real fusion iterative closed-loop evaluation process, and the adaptability and credibility of a digital test system under complex working conditions are remarkably improved. The method has the advantages of high efficiency, low cost and good expansibility, provides a feasible number-real fusion test evaluation means for performance evaluation and optimization design of a complex system, and has a wide engineering application prospect.

A system supporting one or more Internet-of-Things (IoT) applications for enabling repeatable use cases includes a reference architecture and a toolkit including re-usable components. The re-usable components are selectable to support the one or more IoT applications to enable the repeatable use cases which require access to data from multiple individual devices accessible via a cloud platform.

The illustrative embodiments provide for adaptation of reference architecture documents across clouds. An embodiment includes loading a reference architecture document. The embodiment also includes populating a knowledge repository corpus where the knowledge repository corpus includes data from information technology (IT) products, cloud services, and integrations stored with associated metadata about functionalities. The IT products, the cloud services, and the integrations are stored with metadata. The embodiment also includes classifying, using an incident analysis module, the service incidents based on the reference architecture document. The embodiment also includes detecting flaws in the reference architecture document based on the classified service incidents. The embodiment also includes creating a weighted graph of the cloud services. The embodiment also includes traversing the weighted graph and creating an adapted reference architecture based on the traversed weighted graph.

A method for constructing a topology reference structure for a production line is provided. The present disclosure is based on historical production line topology data of an enterprise to extract a commonly used topology reference structure for a production line of the enterprise by a computer through a machine learning (ML) algorithm, so as to form a typical production line topology group of the enterprise. The present disclosure can record typical production line characteristics and production habits of the enterprise, realize reuse of a production line structure and production line construction knowledge, reduce the workload of production line designers, and improve the production line construction efficiency of the enterprise. In addition, the present disclosure avoids the interference of designers' subjective decisions to a certain extent, and the reference structure extracted by the computer has high reference value, and is objective, mature, and stable.

Provided are systems, methods, and apparatuses for iterative guided architecture design based on self-optimizing analytical models. In one or more examples, the systems, devices, and methods include determining a figure of merit (FOM) of a reference architecture based on executing a workload on the reference architecture and measuring a hardware event associated with executing the workload. In some examples, the systems, devices, and methods include determining an analytical model based on the FOM and based on performing roofline analysis on the reference architecture. In some examples, the systems, devices, and methods include estimating performance of the workload on the target architecture based on the analytical model identifying an optimal design based on validating the analytical model on a plurality of architectures executing the workload.

Embodiments of a software defined automation system that provides a reference architecture for designing, managing and maintaining a highly available, scalable and flexible automation system. In some embodiments, an SDA system can include a localized subsystem including a system controller node and multiple compute nodes. The multiple compute nodes can be communicatively coupled to the system controller node via a first communication network. The system controller node can manage the multiple compute nodes and virtualization of a control system on a compute node via the first communication network. The virtualized control system includes virtualized control system elements connected to a virtual network that is connected to a second communication network to enable the virtualized control system elements to control a physical control system element via the second communication network connected to the virtual network.

A reference architecture for supporting multi-link aggregation (MLA) operations is described. An MLA multiplexer logic layer is provided that provides synchronization functionality to synchronize data transmission over two or more slave air interfaces belonging to an aggregated link.

An automatic compilation method and framework for generating a layout for an integrated memory-compute circuit design is provided. The automatic compilation method comprises: constructing a design database with at least one basic design library and a collection of referencing architecture templates; receiving a user specification associated with the integrated memory-compute circuit design; selecting a referencing architecture template from the design database and parameterizing the selected architecture template according to the received user specification to generate an architecture for the integrated memory-compute circuit design; generating a physical layout based on the generated architecture according to one or more placement-and-routing algorithms; iterating a design exploration loop on the generated layout with one or more expertise experience-based optimization schemes to obtain one or more explored physical layouts; and evaluating hardware metrics of the one or more explored physical layouts to determine an optimal physical layout.