13 results about "Network software" patented technology

The invention discloses a method for deploying a spiking neural network on neuromorphic hardware, and belongs to the technical field of collaborative design of neural network software and hardware. In order to solve the problem of high delay of spiking neural network deployment under different hardware topological structures and routing algorithms, modeling is mainly carried out on a mapping scheme of a neural network between hardware cores under the constraint of preset hardware parameters; and performing iterative optimization on the initial deployment scheme through the deployment scheme selection strategy to meet the response time constraint. The method can be suitable for various hardware architecture and route combinations, response time after deployment is effectively shortened, and system operation efficiency is improved.

The invention relates to the technical field of satellite communication testing, and particularly discloses a vehicle-mounted satellite internet terminal testing method based on a narrowband protocol analysis system, which is characterized in that hardware is adapted to various terminal forms and radio frequency interfaces, and simulation network software is configured to reproduce a vehicle-mounted satellite network environment; exclusive test cases are designed to cover voice, data, short messages, Internet of Things and protocol functions, and automation and state visualization of the test process are realized by means of a test management tool and a terminal maintenance and measurement tool. The method effectively solves the problems of scene disjunction, low efficiency, poor compatibility and the like in the existing test technology, remarkably improves the test efficiency and the result credibility, and is suitable for the full-life-cycle test of the vehicle-mounted satellite internet terminal.

A system for configuring a network, comprising a network software repository operating on a first processor and configured to store one or more algorithms for each of a plurality of hardware items and to implement version control for each of the one or more algorithms. A network software installation system operating on a second processor is configured to install a current version of one or more algorithms on each of a plurality of site-specific hardware items and to configure each of the plurality of site-specific hardware items to interoperate with each other.

The invention belongs to but is not limited to the technical field of safety control, and particularly relates to an anti-seismic support hanger state information safety control system and method based on a block chain technology. Comprising a platform type wireless intelligent sensor, field and network complementary intelligent control network software, a platform type wireless intelligent execution driver, a communication device, a field memory, platform type network security software and a platform type block chain technology network. When the components of the method are off-grid, the components can independently operate for 30-120 minutes under the support of the most basic data of 1-2 associated points to wait for support, and the operation fault is safely processed. When central network platform software needs to support control, the priority of the central network platform software is software priority set on site, and the central network software is read and used at a high speed, so that the software security is ensured. Dynamic passwords specified by an original product manufacturer of the distributed equipment are used through operation data exchange of all the components and determined through a platform of the dynamic passwords, and the safety of the operation data is ensured.

The invention provides a collaborative resource configuration optimization method and device, equipment, a medium and a program product, and the method comprises the steps: S1, drawing a directed topological graph for network software, network nodes and target nodes in combination with an actual use condition; s2, deducing a resource configuration matrix in combination with the directed topological graph inversion; s3, based on the resource configuration matrix, constructing a target node importance degree space set and a network software and target node matching degree space set; s4, constructing a global objective function based on the target node importance degree space set and the network software and target node matching degree space set, and calculating the cooperative resource utilization probability of the network nodes and the network software by using the global objective function; and S5, optimizing the use condition, and continuing to calculate the global objective function to obtain a collaborative resource configuration optimization result. The cooperative resource utilization rate of network nodes and software can be effectively improved.

This invention provides an offline community detection method for software ecosystems based on co-evolutionary optimization. Software ecosystem networks are often dynamic, forming dynamic networks. Based on the network formation mechanism, dynamic networks can be divided into offline and online networks. The goal of dynamic network community detection in software ecosystems is to efficiently reveal the community structure and evolutionary patterns of the system, contributing to understanding individual interaction behavior and promoting the healthy and sustainable development of software ecosystems. This invention segments the dynamic network into several continuous multi-layer networks based on the similarity of the network at different time periods. It considers both the saliency of the intra-layer network community structure and the similarity of the inter-layer network community division. Nine offline software ecosystem networks with different characteristics are constructed using data crawled from GitHub. Comparative experimental results show that the proposed offline community detection method for software ecosystems is superior.

The invention belongs to the technical field of software derivation, and particularly relates to a method, a system and equipment for generating a user design interface according to a derived software interface configuration file. Obtaining a kernel module on which the current user module depends from the derived software interface configuration file; the software platform only loads a kernel module and a derived software interface display module which the current user module depends on; wherein the software platform is an automobile network software platform.

The embodiment of the invention provides a protocol testing method, device and equipment for coal mine networking software, a medium and a product. The method comprises the steps of obtaining original data collected by at least one sensor in response to an event of verifying a protocol file corresponding to iterative networking software; converting the original data based on the basic version networking software and the iterative networking software to obtain first data corresponding to the basic version networking software and second data corresponding to the iterative networking software; and sending the first data and the second data to a target server, so that the target server tests and verifies the first data and the second data to obtain the availability of the iterative networking software. Labor and time consumption is reduced, automatic processing is achieved, and test verification efficiency and accuracy are improved.

The application discloses a neural network software and hardware cooperative detection method and device, equipment and a storage medium, and relates to the technical field of deep learning, which comprises the following steps: inputting a first target image into a pre-trained neural network model for forward operation, and calculating the output resolution of the current network layer of the neural network; replacing the output resolution of the corresponding network layer stored in the network firmware with the calculated output resolution; after the replacement of all the network layer output resolutions stored in the network firmware is completed, reconfiguring the register command word in the network firmware, and starting the neural network hardware to accelerate detection. In the application, the resolution of the input neural network is variable, which can ensure that there is a detection object under the current resolution, and because the network resolution is smaller, the un-scaled image is clearer, the network performance is improved, and the bandwidth usage is reduced.

Systems and methods for zero touch provisioning of a bare metal server to run radio access network (RAN) software. A method includes delivering a network boot program to a bare metal server in a preboot execution environment and causing the bare metal server to execute the network boot program. The method includes registering the bare metal server with a data center automation platform and instantiating a radio access network (RAN) application on the bare metal server.

Apparatuses, methods, and systems are disclosed for network slice installation-based deployment testing. An apparatus (300) includes a transceiver (325) and a processor (305) coupled to the transceiver (325). The processor (305) is configured to cause the apparatus (300) to detect that a new version of network software is available, determine an incorporation plan for migrating to the new version of the network software, request a new network slice instance for deploying the new version of the network software according to the determined incorporation plan, and monitor performance of the one or UE devices using the new version of the network software in the new network slice instance.

Systems and methods for advanced energy settlements in electric power grid are proposed. At least one energy customer, at least one retail electric provider and at least one distributed generator connect to an advanced energy settlement platform communicatively. The advanced energy settlement platform is operable to summate a customer balance from all the settlement blocks during a billing period and collect payments from the at least one energy customer automatically; aggregate and settle distributed energy charges with distributed generators and fixed energy charges with the energy retailer or retail energy provider for the at least one energy customer during the billing period. The advanced energy settlement platform also provides interactive graphical user interface for different participants in the advanced energy settlement and for advanced energy settlements application development kit (ADK) for access to functionality within the advanced energy settlement platform.

A system for configuring a network, comprising a network software installation system operating on a first processor and configured to install a current version of one or more algorithms on each of a plurality of site-specific hardware items and to configure each of the plurality of site-specific hardware items to interoperate with each other. An agent operating on a second processor is configured to modify the one or more algorithms for one of the plurality of site-specific hardware items using an out of band network.