160 results about "Digital network" patented technology

A secure digital network environment is provided by integrating OTP keys as part of quantum-safe data systems solutions (QPN Solutions), including the use of one-time-pad (OTP) keys to encrypt data, support multi-factor authentication and secure all communications between devices in the secure digital network environment. The OTP keys are “pre-loaded” to endpoint (EP) devices to render them quantum-safe (QS) when connected into the secure digital network environment, or are otherwise provided through removable media to be loaded into user supplied appliances, devices and accessories to render them QS when connected into the secure digital network environment. The application of QPN Solutions refers to the application of QPN enabled technologies to provide a secure digital network environment includes risk assessment and management solutions for establishing and managing cyber security insurable risks and policies.

The current disclosure provides methods and systems that can manage the dynamic-uncertainty induced by resources of decentralized data networks, in order to ensure the stability and sustainability of task-oriented automated operations, such as operations conducted through intelligent agents. In contrast to the state-of-the-art object-based processing, the methods and systems enable object-aware processing, to ensure the establishment of stable and sustainable associations with physical and digital web-objects, while enabling those objects to be processed dynamically with full adaptability in response to contextual and structural alterations in real-time. Thus, the disclosure provides—both human and machine—users with the ability to develop and deploy modular systems capable of engaging any conceivable physical or digital interaction with the resources of a data network, such as dynamically linking and manipulating clusters of complex web-objects to execute complex tasks in complex and dynamic web environments—most importantly—stably and sustainably.

According to the instant application, there are provided systems and methods to create a quantum secure / resistant secure communication channel (QSR-SCC) for communication between two or more end-points at or within devices, applications, services, APIs, secure communication protocols, etc. In one example of a QSR-SCC, a quantum secure / resistant private network (QSR-PN) extends existing VPN solutions using one time pad (OTP) based keys, augmented handshake mechanisms, and interchangeable ciphers, for example, stream ciphers or block ciphers, for enhancing security associated with the QSR-PN.

The invention discloses a data sharing and tracing method and system based on a block chain, and relates to the technical field of block chains and distributed identifier analys.The method comprises the steps that a global unique identifier is allocated to a digital object through a data networking identifier analysis system, and a metadata mapping relation between the global unique identifier and the digital object is recorded into a block chain network; when a data sharing request is responded, calling an identifier analysis system to position a target digital object, verifying the authority of a requester, recording an access event, generating transaction data, and writing the transaction data into a block chain network; and according to the transaction data recorded in the block chain network, constructing a full-life-cycle tracing chain of the digital object, querying the circulation history of the digital object from the tracing chain according to a time sequence, an operation type or a participant, and verifying the data integrity of the digital object. According to the method, the accuracy and efficiency of data positioning are improved, the security and controllability of data sharing are enhanced, and efficient query of data circulation history and accurate positioning of tampering behaviors are guaranteed.

The invention belongs to the technical field of heat supply systems, and discloses a regional heat supply system optimization control method for multi-heat-source networking operation. The method comprises the steps that S1, physical entity data, hydraulic working condition data and temperature data in a regional heat supply pipe network are collected in real time, an adjacent matrix is constructed according to the actual connection relation of the physical entity data, and a digital network architecture is formed; s2, dividing the digital network architecture into a plurality of sub-architectures based on an improved GN algorithm, and establishing a state space model for each sub-architecture; and S3, constructing a rapid simulation model based on the state space model, and continuously fusing each physical entity data and a preset deviation range through a physical information neural network. According to the method, the thermal state change caused by hydraulic adjustment and the reaction of the thermal change on the hydraulic resistance characteristic can be captured in real time, meanwhile, all physical entity data and hydraulic working conditions are processed in a unified mode, and deviation caused by decoupling simplification in a traditional method is reduced.

The invention relates to the technical field of big data mining, in particular to a bulk commodity transportation information management method and system based on cloud computing. The method comprises the following steps: obtaining bulk commodity transportation data, and carrying out modeling to obtain a bulk commodity carrier structure model; evaluating the bulk commodity carrier structure model to obtain carrier loading stability data; road environment monitoring data are obtained and screened, and a bulk commodity transportation path data set is obtained; modeling the transportation environment monitoring data and the bulk commodity transportation path data set to obtain a transportation environment digital network; selecting the bulk commodity transportation path data set to obtain low-risk bulk commodity transportation path data; integrating the transportation environment digital network and the low-risk bulk commodity transportation path data to obtain a bulk commodity transportation strategy; and performing correction based on the transportation environment digital network to obtain actual predicted transportation time data. According to the invention, the bulk commodity transportation management efficiency can be improved.

The invention discloses a data consistency verification method for dual-network communication of a digital substation, and relates to the technical field of operation data monitoring. The digital network A and the digital network B are arranged, time correction pulses are sent to the digital network A and the digital network B, then time synchronization of the digital double networks is completed, a plurality of collection cores are arranged in the digital network A and the digital network B, multiple fault-tolerant mechanisms are set for the collection cores, and the time synchronization of the digital double networks is completed. The message data in the operation process of the transformer substation is acquired through the acquisition core, the acquisition process is monitored through a multiple fault-tolerant mechanism, structured analysis is performed on the message data, and then a corresponding SV message detection data table and a GOOSE message detection data table are generated; and sequentially comparing the SV message detection data tables of the digital network A and the digital network B with each channel data in the GOOSE message detection data, and judging an abnormal digital network according to a comparison result.

The invention relates to the use of an electronic element (E) with at least one processor—and memory function (27b), for use as an arithmetic element (6) and / or computer element (6) and / or device element (2a) and / or component element (2a), the electronic element comprising an identification—(1c) and / or authentication function (1c) of a user in a digital network (12) by means of a computer-assisted, at least partly automated and / or autonomously ordered encrypted method (14e), and / or comprising a computer-assisted, at least partly automated and / or autonomously ordered control function (1b), wherein the electronic element (E) consists of at least one hardware element (27) and / or software (26).

The invention relates to the technical field of digital network broadcasting, in particular to a multifunctional integrated digital network broadcasting system based on an intelligent algorithm. Comprising a multi-modal data acquisition module, a broadcast content generation module, a broadcast scheduling decision module, an abnormal interference suppression module and a terminal collaborative feedback module. The multi-modal data acquisition module collects multi-source information of a coverage area in real time. And the broadcast content generation module performs intelligent clustering analysis based on the information to generate structured content. And the broadcast scheduling decision module adopts a graph attention scheduling algorithm to optimize a scheduling strategy. And the abnormal interference suppression module identifies an interference source by using a residual convolutional network, and repairs an interfered signal through a recurrent neural network. And the terminal collaborative feedback module executes playing and data feedback, and dynamically adjusts receiving parameters and pushing strategies by means of federal reinforcement learning. The intelligent level, the adaptability, the user satisfaction and the overall service efficiency of the digital network broadcasting system are remarkably improved.

The invention discloses a disease risk assessment method and screening device based on a multi-group student physical collaborative digital network, and relates to the field of intelligent medical detection. In order to solve the defect that multi-omics-level system collaborative analysis and robust risk assessment are difficult to realize in the prior art, the technical scheme provided by the invention is as follows: acquiring a plasma sample, acquiring a spectral signal by adopting an attenuated total reflection Fourier transform infrared spectrum, and establishing a plasma spectrum digital information space; the method comprises the following steps: constructing a biological collaborative digital network containing four nodes of protein, lipid, saccharides and nucleic acid based on pathophysiology priori knowledge, and defining node strength, edge weight and network collaborative efficiency; a health baseline configuration file is established by using a health sample, a standardized deviation score of a to-be-tested sample is calculated, a comprehensive risk score is obtained, a disease screening result is output in combination with a machine learning model, and digital evaluation of multi-omics collaborative characteristics is realized. The method is suitable for non-invasive rapid screening and risk assessment work of neurodegenerative diseases and mental diseases.

The invention provides a trusted data space platform and a fusion base thereof, in one embodiment of the trusted data space platform, a system architecture comprises a fusion base layer, a capability supporting layer, an application service layer and a global monitoring layer from bottom to top; the fusion base layer is a base support of a trusted data space, internalizes a space-time code and a digital network into a bottom layer protocol rule, and externally embodies a function service related to a right root; the capability supporting layer is used for forming basic capability of the trusted data space platform with the fusion base layer and directly carrying out interactive activities facing a user, the interactive activities are triggered by a data connector on a user side, and the data connector serves as an engine of the trusted data space platform; the application service layer provides data service for each application field; and the global monitoring layer is used for realizing global credible and controllable monitoring and analysis. Clear data ownership and credible data circulation are guaranteed from a global level, and large-scale circulation of data elements is supported.

A system and method are provided for integrating a property management system and a cyber vulnerability management system to provide remediation for assets in an environment. Information obtained about network connected mechanical assets within the environment is respectively obtained from a tag on the asset. For each asset the asset is identified through a property management database based on the information in the tag and a cyber position of the asset is obtained through a digital network identifier in the tag from the cyber vulnerability management system. In response to identification of the asset having a cyber vulnerability, remediation for the cyber vulnerability is determined, scheduled, and initiated.

The invention discloses an energy digital network-oriented data fusion discovery method, system and device and a medium. The method comprises the following steps: acquiring each energy digital object oriented to an energy digital network; combining the feature attributes extracted from the metadata of each energy digital object to obtain a text statement set of each energy digital object; utilizing a pre-training language model to extract semantic features of the energy digital object according to the text statement set, and generating a corresponding semantic feature vector; clustering the semantic feature vectors, performing pairwise similarity calculation on energy digital objects in each cluster in an optimal clustering result, and combining the energy digital objects with similarity to form a similar energy digital object combination set; fusing the energy digital objects in each combination in the similar energy digital object combination set to construct a new energy digital object; and complementation of cross-domain energy data is realized.

Control unit for room air dehumidification with two independent outputs for controlling a fan and a dehumidifier, wherein the control unit comprises means for measuring temperature and relative humidity in the interior and exterior areas, calculates the dew point of the interior and exterior air from the measured values, compares the dew points and, depending on adjustable threshold values ​​for the desired interior temperature and humidity, activates either the fan or the dehumidifier, wherein the control unit operates completely autonomously and can be operated without connection to digital networks, smart home systems, apps or external servers.

A system and method are provided for integrating a property management system and a cyber vulnerability management system to provide remediation for assets in an environment. Information obtained about network connected mechanical assets within the environment is respectively obtained from a tag on the asset. For each asset the asset is identified through a property management database based on the information in the tag and a cyber position of the asset is obtained through a digital network identifier in the tag from the cyber vulnerability management system. In response to identification of the asset having a cyber vulnerability, remediation for the cyber vulnerability is determined, scheduled, and initiated.

A method of formulating a desired network configuration graph database representative of a network can include receiving network information regarding multiple devices; generating an existing network configuration graph database representative of the multiple devices; and determining whether each interface description for each device correctly describes the device by comparing each interface description to an actual state of the device. The method can include, in response to the interface description being inaccurate, generating an entry in an interface description database that includes identification information of the device, the incorrect interface description for the device, and a correct interface description for the device for each incorrect interface description; formulating the desired network configuration graph database representative of the multiple devices; providing the desired network configuration graph database and a first prompt to a large language model; and determining an output regarding the network and dependent upon the desired network configuration graph database.

The invention provides an all-digital networked fault-tolerant calculation control method and system, and relates to the technical field of power station operation control, and the method comprises the steps: independently collecting reactor data in real time through a main control unit and a plurality of standby control units, and carrying out the synchronization of corresponding output data messages through a high-speed redundant communication bus; verifying the data message, performing automatic correction when a correctable error is detected, and immediately generating and reporting a fault positioning code when an uncorrectable error is detected; identifying a fault component through the fault positioning code, taking the function daughter board as a minimum granularity isolation fault source, and starting a recovery mechanism; operation parameters of each control unit and a field sensor are collected in real time through a safety data bus, and an online machine learning model is utilized to predict potential faults and take prevention measures. According to the invention, the technical problems of low reliability, safety and intelligence of the power station control system are solved.

The present application provides a method, device and equipment for caching a digital networking switch for a scientific data center. The method is applied to at least one switch in a cascaded cache structure topology network, including: receiving multiple response data from a digital object warehouse; calculating the cache priority of multiple response data according to a multi-dimensional cache function to obtain the cache priority of each response data, and the multi-dimensional cache function is determined according to the cache scenario; determining the response data to be cached from the multiple response data according to the cache priority of each response data; according to the cache replacement algorithm, using the response data to be cached to replace the cache response data in the switch, so as to cache the response data to be cached to the switch, and the cache replacement algorithm is determined according to the hit rate of the lower-level device. In this way, the method reduces the resource overhead of the switch in the digital networking and realizes load balancing, thereby improving the data transmission efficiency.

Multi-modal query processing greatly improves computer functioning. A single cybersecurity sensory nodal server concurrently processes standing queries, agent point queries, and agent fleet queries. The single cybersecurity sensory nodal server is dedicated to locally storing electronic data associated with a cybersecurity sensory agent installed at a client device. Because the single cybersecurity sensory nodal server locally stores the single source of the electronic data, the single cybersecurity sensory nodal server answers the standing queries, agent point queries, and agent fleet queries using less hardware resources, less network resources, less electrical energy, and less time.

The present disclosure related to a method (1000) for communication. The method (1000) comprising initiating (1002) at least one request message towards a short message service centre SMSC (212), receiving (1004) the at least one request message by the SMSC (212) and forwarding (1006) the at least one request message towards a mobile number portability unique porting code gateway (MNPUPCGW) (202). The method (1000) comprising determining (1008) a mobile station integrated services digital network (MSISDN) range of the UE (204) based on the received at least one request message. The method (1000) comprising performing (1010) at least one query in a database (210) to select at least one mobile number portability clearing house (MCH) belonging to the determined MSISDN range, and routing (1012) the received at least one request message to the at least one selected MCH over the SMPP interface and receiving (1014) the at least one request message.

The utility model discloses an active digital network sound box, belonging to the technical field of digital network sound boxes, the active digital network sound box comprises a network sound box main body and a mounting plate fixed on the network sound box main body, a connecting plate is inserted in the network sound box main body in a matching manner, and two sides of the inner wall of the network sound box main body are provided with positioning grooves. A plurality of connecting terminals are installed on the connecting plate in an embedded mode, handles are symmetrically fixed to the side wall of the connecting plate, telescopic grooves are formed in the two ends of the connecting plate, positioning blocks clamped with the positioning grooves are elastically arranged in the two telescopic grooves, and a plurality of supporting seats are installed at the bottom end of the network loudspeaker box body in a rectangular array mode; the active digital network sound box aims to solve the problem that in the prior art, the connection plate of the installation equipment is convenient to install and detach, and the maintenance convenience of the network sound box main body is improved.

The invention discloses a network virus detection method and system, a storage medium and electronic equipment, and belongs to the field of digital network security. The data network virus detection method comprises the following steps: deploying a plurality of file restoration nodes in each region of data network service in a distributed manner; and the file detection node is used for detecting the to-be-detected file. The detection processing comprises the following steps: dividing the to-be-detected file into a first-time detected file and a repeated detected file by utilizing a file buffer pool; carrying out full-quantity file detection on the first-time detected files, and updating the file buffer pool; detecting the repeated files to be detected based on a comparison rule version mode, and updating the file buffer pool; and outputting a detection result of the to-be-detected file. And the file buffer pool is configured with an automatic cleaning mechanism based on time and space. When the file detection rule is updated, the buffer pool cannot be emptied, and only newly added or modified rules need to be detected for the historically scanned file, so that the data processing amount is reduced, and the performance overhead of file detection is saved.

The present disclosure relates to a method [400] and a system [300] for transmitting a Session Initiation Protocol (SIP) error response to a target node in a network The method comprises receiving a list of Integrated Services Digital Network User Part (ISUP) cause codes, a list of Session Initiation Protocol (SIP) error codes and a list of SIP error responses; mapping, by a processing unit [304] each ISUP cause code with the one or more SIP error codes; detecting by the processing unit [304], a rejected call; identifying a rejected call cause code associated with the rejected call; determining a cause code status associated with the rejected call cause code, identifying, by the processing unit [304], a target ISUP cause code, generating, the SIP error response associated with the target ISUP cause code; and transmitting, by the transceiver unit [302], the SIP error response.

A system and method for generating a digital cybersecurity artifact includes selectively executing an automated cybersecurity investigation workflow based on a probable cybersecurity threat type of a cybersecurity event, wherein an output of the automated cybersecurity investigation workflow includes one or more corpora of investigation findings data in response to executing the automated cybersecurity investigation workflow; selectively instantiating a digital cybersecurity artifact of a plurality of digital cybersecurity artifacts based on the probable cybersecurity threat type of the cybersecurity event, wherein the digital cybersecurity artifact includes a plurality of distinct regions electronically mapped to one or more threat type-specific content automations that, when executed, install investigation findings data into the plurality of distinct regions of the plurality of distinct regions of the digital cybersecurity artifact with selective subsets of investigation findings data of the one or more corpora of investigation findings data.

1. Name of the product in this design: Dartboard Digital Net. 2. Purpose of this design: To be installed on a dartboard to indicate the score. 3. The key design features of this product are the combination of shape and color. 4. The image or photograph that best illustrates the key design points: Design 1 3D view. 5. The design for which protection is sought includes color. 6. This design is for a thin product, so the top view, bottom view, left view, and right view of designs 1-5 are omitted. 7. Design 1 is designated as the basic design.

Disclosed is a method and system for interference control and hybrid beamforming using multi-agent deep reinforcement learning for multiple users. The disclosed method includes performing multi-agent reinforcement learning using interference and antenna gain information that is expected based on a gain table designed using channel state information (CSI) of all user equipments; searching for an analog beamforming matrix pair corresponding to a link that maximizes antenna gain and minimizes interference between user equipments through multi-agent reinforcement learning; applying a signal-to-leakage plus noise ratio (SLNR) maximization technique that minimizes the interference between the user equipments based on the link; and optimizing transmission (Tx) power for each link based on iterative water-filling.

A system (100) for real-time video enhancement using diffusion-based AI models, consisting of: a video input processing module configured to receive and preprocess video images by performing noise reduction, image alignment, and dynamic content analysis; a diffusion-based AI enhancement module configured to apply iterative noise-to-image transformations to refine video images, restore lost details, improve resolution, and correct color distortions; an adaptive parameter tuning module configured to dynamically adjust enhancement parameters based on real-time video characteristics such as motion intensity, lighting conditions, and noise levels; a real-time optimization module configured to utilize model compression, edge computing, and parallel processing to reduce computational complexity and achieve low-latency processing; a motion stabilization module configured to detect and compensate for motion artifacts and flicker effects to ensure smooth video playback; an output / playback module configured to process and reconstruct the enhanced video images for real-time display, storage, or transmission over digital networks.

The utility model discloses a digital IP network broadcast server convenient to disassemble, which comprises an installation shell, first rectangular clamping holes are arranged at the front end and the rear end of the installation shell, and a second rectangular clamping hole and a third rectangular clamping hole are arranged at the left end and the right end of the installation shell. The second rectangular clamping hole is located over the third rectangular clamping hole, a module integrated board is arranged in the mounting shell, the upper surface of the module integrated board is fixedly connected with a first vertical elastic buckle, and the module integrated board is connected with the first rectangular clamping hole in a clamped mode through the first vertical elastic buckle. The installation shell, the rectangular clamping holes, the module integrated board, the upper packaging cover, the lower packaging cover and the vertical elastic buckles form a clamping type installation structure, the server can be rapidly disassembled and assembled, daily troubleshooting and maintenance of the server are facilitated, and convenience is provided for daily maintenance of the server.

The invention discloses a network chip security detection method and device, electronic equipment, a medium and a product. The method comprises the following steps: acquiring a digital network signal of a network chip to be detected, and extracting features of the digital network signal to obtain statistical features, protocol features and deep detection features; determining an anomaly detection result according to the anomaly detection unit, the statistical features and the protocol features; determining an attack recognition result according to the attack recognition unit, the deep detection feature and the protocol feature; determining a vulnerability detection result according to the vulnerability detection unit, the deep detection feature and the protocol feature; and determining a security defense decision corresponding to the to-be-detected network chip according to the anomaly detection result, the attack recognition result and the vulnerability detection result. According to the technical scheme, abnormal traffic, network attacks and chip vulnerabilities are accurately identified through multi-dimensional feature cooperation and multi-unit linkage detection, so that the effect of carrying out global research and judgment on the security risk of the network chip is achieved, and the security detection precision of the network chip is improved.

The invention relates to the field of image communication equipment, and particularly discloses a digital network set top box with an anti-interference function, the digital network set top box comprises a box body, a cooling fan and a position correction mechanism, a set top box main body and an intelligent antenna array control system are mounted on an inner network plate, and accurate position adjustment and stable fixation are realized through the position correction mechanism. The position correcting mechanism is composed of a plurality of supporting leg assemblies, each supporting leg assembly comprises a supporting rod, a screw rod, an expansion nail and a limiting screw pipe, and it is ensured that equipment is stably placed under various installation face conditions. In addition, the cooling fan is linked with the temperature control switch, so that the internal temperature is effectively reduced, and the operation stability of equipment is improved. According to the invention, the purposes of improving the anti-interference performance of the equipment, enhancing the signal receiving capability and improving the heat dissipation effect are achieved.