25 results about "Network approach" patented technology

Approaches presented herein provide for unsupervised domain transfer learning. In particular, three neural networks can be trained together using at least labeled data from a first domain and unlabeled data from a second domain. Features of the data are extracted using a feature extraction network. A first classifier network uses these features to classify the data, while a second classifier network uses these features to determine the relevant domain. A combined loss function is used to optimize the networks, with a goal of the feature extraction network extracting features that the first classifier network is able to use to accurately classify the data, but prevent the second classifier from determining the domain for the image. Such optimization enables object classification to be performed with high accuracy for either domain, even though there may have been little to no labeled training data for the second domain.

Techniques for equipping mobile devices with two different types of wireless communication devices, one of which is part of a mesh network that can serve as a backup path for transmitting data to the internet. The mobile devices, such as mobile carts, can dynamically switch to the mesh network if Wi-Fi connectivity fails or becomes weak. This dual-network approach improves data transmission reliability, reduces dependence on a single network type, and ensures continuous operation, which can be important in certain environments, such as healthcare settings.

Approaches presented herein provide systems and methods for content generation systems that incorporate a denoising diffusion generative adversarial network (DDGAN) into a content generation pipeline. A generator associated with the DDGAN may be conditioned on a set of input images that include at least a noisy image from a diffusion engine, an upsampled low resolution image, and a historical image. The generator may be used to generate an output image having one or more properties that are different from a content engine. Weights for the generator may be determined during a training process that includes a discriminator that evaluates at least the noisy image, the upsampled low resolution image, and a noised image produced from the output image.

Techniques for equipping mobile equipment with two different types of wireless communication devices, one of which is part of a mesh network that may serve as a backup pathway to route data to the internet. The mobile equipment, e.g., mobile carts, may dynamically switch to a mesh network when Wi-Fi connectivity fails or is weak. This dual-network approach enhances the reliability of data transmission, reduces the dependency on a single type of network, and ensures continuous operation, which may be important in certain environments, such as in a healthcare setting.

This application relates to a method, apparatus, and communication device for joining an NVMe storage network. The method includes: in response to a device joining request for a first device to join a target NVMe storage network, obtaining device information of the first device; broadcasting first mDNS broadcast information carrying the device information to a second device already joined in the target NVMe storage network via an mDNS service module on the first device; the second device, upon receiving the first mDNS broadcast information, updating its device information table based on the device information, and establishing a communication connection with the first device if the device information meets preset conditions, thereby enabling the first device to join the target NVMe storage network. The NVMe storage network joining method provided by this method eliminates the need for manual configuration by administrators and centralized control via a central control node, thus improving the intelligence of the NVMe storage network joining process.

Approaches are described herein for secure masking of channel activity for transmission security (TRANSEC) enabled terminals in satellite communication networks. Embodiments include techniques for masking channel activity at the link-layer in the outroute and / or in the inroute. For example, in the outroute, embodiments encapsulate packet data units (PDUs) using a TRANSEC-compatible stream encapsulation protocol. In the inroute, embodiments encapsulate burst transmissions using a TRANSEC-compatible inroute burst encapsulation protocol. Outroute and / or inroute activity can be further masked by creating the impression of constant-rate traffic, constant-rate bandwidth allocations, and the like.

The invention provides a double-branch network for polarization low-light image enhancement, which belongs to the technical field of image processing, and comprises the following steps: obtaining four original polarization low-light images at different angles, and carrying out linear conversion on a given input polarization low-light image to obtain three images S0, S1 and S2 in a Stokes domain; the image S0 is input into a total light intensity network based on a multi-scale Transform model, an enhanced image # imgabs0 # is obtained, ReLU is used for replacing traditional softmax, and effective attention is reserved in the feature aggregation process; and S1 and S2 are input into a differential light intensity network based on multi-scale RDB to obtain an enhanced image # imgabs 1 # and an enhanced image # imgabs 2 #, and the image # imgabs 3 #, the image # imgabs 4 # and the image # imgabs 5 # are subjected to nonlinear conversion to obtain DoLP and AoP. The invention provides a double-branch network which is used for performing joint denoising on polarization images at different angles through interaction between channels and recovering global structure similarity, edge perception similarity and intensity-polarization information similarity of the images in a Stokes domain.

This invention discloses a network-based airborne collision avoidance system testing device, comprising a test system hub, a signal testing unit, a DC power supply assembly, an industrial control computer, a TCAS tester, and an ATC / DME tester. The test system hub is connected to an S-mode transponder, an ACAS main unit, an antenna switching switch, the TCAS tester, the ATC / DME tester, the industrial control computer, the DC power supply assembly, and the signal testing unit. The TCAS tester and the ATC / DME tester are connected to the industrial control computer via a switch. The industrial control computer is connected to the DC power supply assembly, which is also connected to the signal testing unit. This device enables automated testing of multiple devices under test, reducing testing costs and the workload of testing personnel, and improving the accuracy of test results.

Approaches are described herein for link-layer address concealment for transmission security (TRANSEC) enabled (TE) terminals in satellite communication networks. For example, TE terminals can randomly select a proposed masked system assigned identifier (mSAI), which is a temporary identifier different from any real identifiers of the terminal (e.g., a real SAI, real electronic serial number, etc.). The ground station (e.g., inroute group manager) checks availability of the mSAI. If available, the request is acknowledged, the mSAI is assigned to the terminal, and bandwidth is allocated to the terminal using the mSAI. Subsequent allocated bursts can be sent by the terminal using the allocated bandwidth based on the mSAI. Some embodiments include techniques for handling requests for an unavailable mSAI, simultaneous requests by different terminals for the same mSAI, periodic changes of mSAIs for added security, and use of mSAI-related timers to support additional features.

Approaches presented herein provide for the attestation of devices in managed networks, in order to verify state and establish trust in those devices as well as in the managed network and / or subnets. The devices in a network, including devices such as network switches, can perform self-attestation by transmitting attestation evidence using one or more network messages. One or more verifiers can verify the attestation evidence and determine which devices or subnets are trusted. Data and messages can then be routed along trusted paths through a trusted network or subnet, such that all devices along those paths are trusted devices. In order to reduce the volume of attestation traffic for large networks, a network device can provide attestation evidence to a verifier that is connected to that device, rather than propagating all evidence for all devices to a single verifier. Once verified, a list of trusted devices can be propagated rather than the instances of evidence that were used for the verification.

The invention discloses a wind instrument matching method based on reinforcement learning under multiple agents. The method comprises the following steps: extracting music features according to an original MIDI project file, and constructing a music feature model; constructing an expert data set according to the music feature model, and constructing a pre-training model according to the expert data set; constructing a wind instrument dictionary according to a wind instrument method, and constructing a multi-agent reinforcement learning model training environment; constructing a multi-agent reinforcement learning model; training a multi-agent reinforcement learning network in a mode of constructing a target network; according to the invention, the music features can be more comprehensively sorted, and the sorted music features are applied to the automatic matching device of the wind instrument.

Approaches are described herein for link-layer address concealment for transmission security (TRANSEC) enabled (TE) terminals in satellite communication networks. For example, TE terminals can randomly select a proposed masked system assigned identifier (mSAI), which is a temporary identifier different from any real identifiers of the terminal (e.g., a real SAI, real electronic serial number, etc.). The ground station (e.g., inroute group manager) checks availability of the mSAI. If available, the request is acknowledged, the mSAI is assigned to the terminal, and bandwidth is allocated to the terminal using the mSAI. Subsequent allocated bursts can be sent by the terminal using the allocated bandwidth based on the mSAI. Some embodiments include techniques for handling requests for an unavailable mSAI, simultaneous requests by different terminals for the same mSAI, periodic changes of mSAIs for added security, and use of mSAI-related timers to support additional features.

An adaptive neural optimal tracking control method and device for robots considering dynamic constraints are disclosed. The method includes: establishing a dynamic model of the robot in joint space, considering the robot system's input torque, inertia matrix, centripetal force, Coriolis force matrix, and gravitational torque; mapping the robot system's dynamics to Cartesian space, defining position and velocity vectors, and establishing a state-space model of the robot system; and designing an adaptive optimal neural tracking controller based on the optimal backstepping method and the "actor-critic" neural network method to handle dynamic constraints and achieve optimal tracking performance under dynamic constraints. This invention enables the robot to track the desired trajectory more accurately under dynamic constraints while ensuring motion safety.

The invention provides a networking method and system based on a vehicle-mounted terminal, belongs to the field of automobiles, and aims to receive related signals of a whole vehicle in real time and seamlessly, noninductively and losslessly access the vehicle-mounted terminal to the Internet through a smart phone. Existing application programs (such as navigation, online music, a voice assistant and an application store) on the vehicle-mounted system can be networked in the mode without any modification, non-inductive networking which can be used as soon as getting on the vehicle is finally achieved on user experience, a user does not need to enter a setting menu of a smart phone to manually open a WiFi hotspot or other network sharing modes, and the user experience is improved. Compatibility to all network protocols is realized functionally, and the possibility of a high-end networking function is provided for a low-cost vehicle machine commercially.

The invention belongs to the technical field of ultrasonic image segmentation, and relates to a double-path hybrid network method for ultrasonic boundary perception segmentation and progress angle measurement during production, which comprises the following steps: S1, enhancing a training data set by using a random cutting hybrid algorithm for marking a boundary region; s2, a convolutional neural network branch is adopted to capture local features, a lightweight CNN style Transform branch is adopted to capture a long-range dependency relationship, and after the convolutional neural network branch and the lightweight CNN style Transform branch are subjected to parallel calculation, a T2C module is adopted to perform fusion so as to generate fusion features; s3, performing jump connection of branches of the convolutional neural network by adopting a context enrichment module; s4, using a T2C module to fuse the CNN branch features and the Transform branch features; and S5, refining the features by using the foreground information, the background information and a residual structure by using a BARM module. According to the method and the device, the problem of attention collapse easily caused by a traditional visual Transform structure under the condition of insufficient data is solved, and the boundary prediction precision is improved, so that the fine details of the image are better recovered.

The invention relates to a lightweight SC-IFDMA system channel estimation method based on knowledge distillation, and the method comprises the steps: inputting a channel response matrix obtained through LS channel estimation into a trained deployed student network, and obtaining a global channel response matrix with higher estimation precision; wherein in the training stage of the knowledge distillation network, the teacher network assists in training the student network, and after a large number of training rounds, the channel estimation performance of the student network approaches the teacher network; and loading and deploying the training weight of the student network to obtain a deployed knowledge distillation network. Compared with a traditional LS estimation method, the method for carrying out explicit channel estimation on the SC-IFDMA system based on deep learning has the advantage that the channel estimation precision can be remarkably improved. According to the method, the thought of knowledge distillation is used for carrying out lightweight processing on the model, the parameter quantity of the model can be greatly reduced, the model deployment difficulty is reduced, and the estimation performance better than that of a common super-resolution model is obtained.

The embodiment of the invention provides a distributed file sharing method and device capable of shielding different technical types, a storage medium and electronic equipment, and relates to the technical field of file sharing, the method comprises the following steps: reading a configuration file of a business service to obtain a specific shared storage type; performing unified interface initialization on the universal interfaces of different shared storage types; for shared storage type selection with a storage network protocol, creating a connection pool of distributed shared storage; constructing a unified universal access interface by adopting a facade mode; and the business service completes file sharing based on the universal access interface and the connection pool. According to the method, a unified file sharing access mode can be provided for business services, file access is changed from a network mode to a local access mode, a business system does not need to pay attention to specific storage type selection, non-inductive switching and deployment of different storage technology type selection of different platforms are achieved, and development, operation and maintenance efficiency is improved.

Approaches are described herein for securely initializing a TRANSEC-enabled terminal (TET) in a satellite communication network. At a secure location, a unique Terminal Master Key and Electronic Serial Number, are securely burned into the terminal's memory. Upon booting, the terminal verifies its identity using a signed TE file and encrypted keys. When deployed, the terminal initially sends an unallocated burst with a fake ESN to obtain bandwidth allocation (e.g., from an inroute bandwidth allocator). The terminal proceeds with an initial association request using a randomly generated identifier, followed by a transport-layer-secure registration process (e.g., with a network management system over HTTPS). After successful registration, the TET receives link-layer key materials and shifts to using its real ESN with link-layer security (LLS) for subsequent communications.

Light signal-based networking, such as LiFi (light fidelity), has become more prevalent. Such networking means provide a bidirectional wireless system that transmits data via LED or infrared light. Embodiments use light-signal-based networking to easily and securely add new information handling systems to an existing network. In one or more embodiments, matching both pre-set light carrier settings and trust data help make the addition of a node to the network quick and secure. In one or more embodiments, additional security and authentication mechanisms (e.g., tunneling, multi-factor authentication, passwords, token+passwords, secure protocols (e.g., Role-Based Access Control (RBAC), Lightweight Directory Access Protocol (LDAP), etc.) may also be used to further strengthen trust for the network, for the new client node, or both. Once trusted, information about the new client may be added to a datastore to allow other nodes in the network access to a listing of trusted nodes.

This invention discloses a wind farm fault voltage recovery method based on topology reconstruction. The proposed method utilizes a radial network for both normal operation and fault isolation of the wind farm. Topology-level optimization calculations enable the wind farm to achieve both the low redundancy and high reliability of traditional radial and ring networks. Compared to the traditional radial network approach where circuit breakers directly disconnect during internal faults, the proposed topology reconstruction method ensures both the recovery of voltage at the wind turbine generator terminals and the continued power supply from downstream wind turbines without disconnecting from the grid.

Approaches described herein relate to a method of managing a maintenance process in a mobile network comprising, by a centralized entity of the mobile network, receiving from a first distributed entity configured for maximizing its QoS by operating the maintenance process a QoS-related control-level report; based on the control-level report, determining a first QoS status of the first distributed entity; in response to a mobile device handed over from the first to a second distributed entity: based on a user-level report related to the first distributed entity's QoS and received from the mobile device, determining a second QoS status of the first distributed entity; if the second QoS status indicates a QoS issue, identifying a manipulation condition of the maintenance process based on the first QoS status, and if the manipulation condition indicates a potential manipulation of the maintenance process, triggering a cleanup routine for removing the potential manipulation.

The present application discloses a method, apparatus, device and storage medium for image filling, which relates to the field of computer technology, and includes: copying a boot image package to a newly created directory, and decompressing the boot image package in the newly created directory; the newly created directory is a directory newly created on a target server, and the target server is a server that has been configured with a target network card; constructing a target boot image package containing a network card driver corresponding to the target network card based on the decompressed boot image package; copying the target boot image package to a pre-built PXE server; and installing the operating system corresponding to the target image file using the target image file via the PXE server. The present application achieves customization of the network card driver by adding the customized target boot image package to the network card driver, and performs image filling via a network PXE method, thereby improving the efficiency of server testing and image installation in production, and reducing the cost of manpower and material resources.

The invention provides an equipment control system and method, and belongs to the technical field of serial communication. The system comprises a master control device, a serial bus, a first controlled device, a second controlled device and a plurality of microcontrollers. The main control equipment and the first controlled equipment are respectively provided with an operating system, and the second controlled equipment is not provided with an operating system; the main control equipment is connected to the serial bus; the first controlled devices and the second controlled devices are connected to the serial bus through different microcontrollers, and the microcontrollers are connected with the first controlled devices through serial communication protocol interfaces. The main control device can control the first controlled device and the second controlled device through the microcontroller connected to the serial bus, that is, control over complex devices and simple devices is achieved through the serial bus at the same time, the effect of control in a network approaching mode is achieved, all the controlled devices in the system do not need to be provided with operating systems, and therefore the control efficiency is improved. And the system cost is reduced.

The invention provides a task allocation method based on an improved DQN algorithm, and belongs to the field of task allocation, and the method comprises the steps: creating a DQN algorithm model, creating a training model, generating scene parameters of a current scene, defining an agent classification standard, carrying out the pairing of agents and actions through combining a task allocation rule, and calculating a local reward and a global reward. The method comprises the steps of obtaining a reward value used for DQN network updating, updating a node value of an evaluation network based on the reward value used for DQN network updating to obtain an updated evaluation network, updating parameters of a target network based on the updated evaluation network to enable the target network to approach the evaluation network, and obtaining a model after current scene optimization. According to the method, different rules and decision strategies are automatically selected in a dynamic environment based on an improved deep Q learning algorithm of the rules, so that the system can continuously adjust decisions according to real-time scene information, and thus a more efficient task allocation decision can be made in the face of changeable actual scenes.