63 results about "Network storage" patented technology

A communication method for artificial intelligence (AI) / machine learning (ML) operations includes a network entity discovering trustworthiness capabilities for analytics and / or models, where a network data analytics function (NWDAF) is enabled to support a model training logic function (MTLF) with trustworthiness capabilities for ML models, the NWDAF is enabled to support an analytics logic function (AnLF) with trustworthiness capabilities for analytics, or a network repository function (NRF) includes trustworthiness capability provisioning per ML model. The network entity can be the NWDAF or a NWDAF consumer.

Analytics equipment (14) for a communication network (10) stores a stream (18) of data records (20) from the communication network (10). The analytics equipment (14) samples the stored stream (18T) to obtain a sampled stream (18S) that includes fewer data records (20) than the stored stream (18T). The analytics equipment (14) explores the sampled stream (18S) to identify characteristics (28) of data records (20) to be used for insight creation. Based on the identified characteristics (28), the analytics equipment (14) filters the stored stream (18T) to obtain a filtered stream (18E) that includes data records (20) with the identified characteristics (28). The analytics equipment (14) then creates one or more insights (16) about the communication network (10) using the filtered stream (18E).

The application provides a soft and hard cooperative security AI NAS storage and calculation system and an access authentication method, and belongs to the technical field of network storage. The system comprises a hardware security layer, a lobster security core module, a compulsory authentication gateway, an encrypted storage engine, an intelligent access control module and a security audit and monitoring module. The hardware security layer comprises a lobster security chip and a hardware root of trust module. The lobster security chip is an independent security processor, and is internally provided with a true random number generator, an encryption acceleration engine and a security storage area. The hardware root of trust module is used for system startup verification and root key hardware protection. Through the soft and hard cooperative architecture and the compulsory authentication mechanism, the application realizes a complete trust chain from the hardware root of trust to the application layer, can effectively prevent ransomware attacks and data leakage risks, and improves data operation efficiency.

A method performed by a network repository function, NRF, node (60) is provided. In response to receiving a request (400), transmission of a response (402) is initiated to a network node (10, 20) that initiated transmission of the request (400). The network node (10, 20) is a first network function, NF, node (20) that is a service consumer, or a first service communication proxy, SCP, node (10) configured to operate as a SCP between the first NF node (20) and at least one second NF node (30) that is a service producer. The response (402) comprises first information indicating any second NF node (30) identified for providing a service (40) requested by the first NF node (20), second information indicating whether the any second NF node (30) identified for providing the service is identified based on criteria, and / or third information indicating whether the plurality of second NF nodes (30) are prioritized according to the criteria if multiple second NF nodes (30) are identified.

The application provides a blockchain-based unmanned aerial vehicle airspace management method and system, and relates to the technical field of intelligent transportation systems. The blockchain-based unmanned aerial vehicle airspace management method and system comprises the following steps: S1: based on multi-source sensor data, S2: based on a trusted dynamic airspace map, S3: based on a privacy protection compliance proof and a trusted dynamic airspace map, S4: based on airspace use authorization and a trusted dynamic airspace map, and S5: based on a dynamic risk insurance policy, airspace use authorization and real-time flight data. Through the integration of multi-source sensor data and the application of Kalman filtering and long short-term memory network deep learning algorithm for real-time data fusion processing, in combination with blockchain network storage and data snapshot verification, a high-precision airspace state model is constructed, the accuracy and reliability of airspace situation awareness are significantly enhanced, and a flight plan compliance proof is generated by using a zero-knowledge proof algorithm.

This invention discloses a space-based computing power network system, belonging to the field of integrated space-ground information network technology. The system includes space-based nodes deploying edge computing power resource pools, ground stations, and a ground-based cloud computing center. The ground station is equipped with a space-based computing power orchestration and management platform, including a computing power orchestration module and a network control module. The platform collects real-time information on the network's computing power, network, storage, and algorithm resources, forming a unified resource view. When a user station initiates a service computing power request including computing power scale, algorithm type, and network QoS requirements, the platform generates a computing power allocation strategy through the computing power orchestration module and a space-based network path through the network control module, supporting step-by-step or joint optimization to achieve resource collaborative scheduling and optimal configuration. Finally, the strategy and path are distributed to each node, and the system responds to the user station. This invention supports real-time on-orbit processing of services, reduces space-to-ground transmission latency and bandwidth requirements, and enhances the intelligence and autonomous operation capabilities of the space-based network.

A system described herein may provide an interface between a Centralized Unit (“CU”) and a Network Repository Function (“NRF”) of a wireless network. A first CU may receive, from the NRF, an indication that a second CU is associated with a particular priority, and the first CU may subscribe to updated information, maintained by the NRF, that is associated with the second CU. The first CU may receive, based on the subscribing, updated priority information associated with the second CU, which indicates that the second CU is no longer associated with the particular priority. The first CU may maintain, based on the updated priority information indicating that the second CU is not associated with the particular priority, an indication that the first CU is associated with the particular priority. The first CU may accordingly perform functionality that was previously performed by the second CU.

1. The name of the design product: network storage device. 2. The use of the design product: the design product is used for data storage, data processing and network communication. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

1. The name of the design product: network storage server (ZVN-ITX600C). 2. The use of the design product: for network storage device. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The subject of the application is a non-invasive measurement system, particularly in buildings intended for human habitation, while ensuring basic living needs, requiring the supply of various types of utilities. Each of the transducers (6) and / or (7) and / or (8) and / or (29) and / or (33) is installed in the building individually or in subgroups for installations with a large number of receivers, in the closest possible proximity, in locations ensuring individual recording and / or measurement of the appropriate type of medium, such as water, air, electricity, electricity, thermal energy. Transducers (6) and / or (7) and / or (8) and / or (29) and / or (33) are connected by signal cables (5) to a signal concentrator (4), which transmits data via a CAN bus (2) in the form of an appropriate cable harness to a central unit (3). The central unit (3) is connected to a network repository in a data cloud (21).

The application relates to a protein characterization learning method and device, computer equipment and a storage medium. The method comprises the following steps: collecting protein sequence, structure and function annotation information, and constructing a multi-modal feature data set; performing multi-modal feature extraction on the multi-modal feature data set by using a MASSA framework to obtain protein multi-modal representation; constructing a graph network by using the protein multi-modal representation, and storing the representation and a historical model of an existing protein task in the graph network; in the training process of a new protein task, a memory enhancement mechanism is used to retrieve a similar node of the new protein task from the graph network, a historical model of an existing protein task corresponding to the similar node is obtained, model parameters of the historical model are transferred by using a transfer learning framework, and model training is performed on the new protein task. The application effectively alleviates the data scarcity problem and improves the accuracy and generalization ability of the model in a small sample learning task.

The present disclosure provides a system and a method for access token validation at a network repository function (NRF). The system comprises an authorization server that receives a token from various users, decodes the token and sends a valid token to a resource server within a predetermined period. The resource server provides one or more requested services via the authorization server to the various users within the predetermined period based on the valid token. Further, variations in token generation and validation methods are updated at the system itself without any modifications at the resource server.

The present application relates to sewage treatment technical field, especially to a kind of control method and system of midway lifting pump station, method includes the following steps: determining pipe network storage capacity, set boundary parameter;Install monitoring instrument and collect data;Data processing, specifically: according to the data obtained by collection set control liquid level difference, according to control liquid level difference whether to take control action;Judge the control mode of midway lifting pump station and control;The control mode includes: liquid level control mode, pressure control mode, drainage mode and forced protection mode.The present application can switch control mode according to the state of midway lifting pump station, pipe network and main pipe, realize the automatic control of midway lifting pump station, ensure that midway lifting pump station is efficiently and stably and safely operated, solve the problem that most of existing midway lifting pump station adopts artificial experience control, and there is not in time and pipeline safety problem.

In one aspect, a method includes generating, using a User Plane Function (UPF) of a core element of a network, a query to retrieve information associated with one or more Data Network Names (DNNs) configured in at least one other UPF in the network; transmitting the query to a Network Repository Function (NRF); receiving a response from the NRF, the response including IP address subnets of the at least one other UPF associated with the one or more DNNs; dynamically generating an Access Control List (ACL) to block mobile-to-mobile communication between User Equipment (UEs) in the network, using the IP address subnets received as part of the response, wherein each of the UEs is assigned an IP address from among the IP address subnets; and blocking M2M communication using the ACL dynamically generated.

1. The name of the design product: Zhi Lian Warehouse (snap). 2. The use of the design product: The design product is used for storage equipment, network storage equipment. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.

The utility model relates to server case technical field proposes a kind of network storage server case, including case main body, the fixed assembly is equipped in case main body inside, the fixed assembly includes support plate, C-type frame, adjusting plate, first screw rod, clamping plate and second screw rod, the support plate is located in case main body inside, C-type frame is fixed with the support plate bottom surface symmetry, adjusting plate is symmetrically equipped below the support plate.The utility model supports server by the support plate in fixed assembly, by control adjusting plate moves out adjusting groove inside, can disassemble fixed assembly, by the movement adjustment of two clamping plates in rectangular groove inside, the distance between two clamping plates can be changed, the server of different width is adapted, by second screw rod drives platen to move up and down, the height of different server can be adapted, so that the server of different size can be installed and used, and the versatility is enhanced.

The application provides a heat supply unit control method, device, system and storage medium, and belongs to the field of power generation control. The method comprises the following steps: calculating the heat supply pipe network storage energy according to the total mass of pipe steel, the heat supply steam pressure and the heat supply steam flow, obtaining the AGC load adjustment deviation according to the actual load parameter and the AGC load instruction parameter of the unit, and obtaining the AGC heat supply adjustment flow according to the heat supply pipe network storage energy and the AGC load adjustment deviation; analyzing the control signal of the actual pressure of the heat supply main pipe and the set pressure of the heat supply main pipe, and obtaining the heat supply auxiliary AGC allowed signal according to the control signal. The application realizes the high-speed variable load operation of the heat supply unit under the constraint condition of the heat supply steam extraction amount, realizes the heat and power cogeneration unit auxiliary AGC by using the heat network storage energy, improves the AGC adjustment quality of the unit, has good applicability and wide application prospect, and also guarantees the safe operation of the unit and excavates the maximum potential of the unit.

A method and apparatus for discovering an evaluation function, used for improving the accuracy of an analysis result obtained by a network data analytics function (NWDAF) network element. The method in the embodiments of the present application comprises: a network storage function network element receives a discovery request sent by a first network element, wherein the discovery request is used for requesting to discover a network element supporting an evaluation requirement of the first network element; the network storage function network element sends a discovery response to the first network element, wherein the discovery response comprises information of a candidate network element, the candidate network element supports the evaluation requirement of the first network element, the candidate network element is used for determining a target network element, and the target network element is used for executing an evaluation task.

The invention relates to an isolation and security system running on a server for use in multi-tenant container orchestration. The system of the invention aims to improve security and efficiency by providing isolated network, storage, and control plane environments for each tenant on multi-tenant container orchestration platforms. In this context, network isolation is achieved by using tenant-specific network overlay protocols, unique VXLAN Network Identifier (VNI), distributed routing mechanisms and network policy engine. Complete storage isolation and performance continuity are ensured through separate storage pools, encryption keys, and a storage QoS manager, for each tenant. Control plane isolation is supported by tenant-specific schedulers, admission controllers, and API endpoints, thus, an independent and secure management is offered. Tenant management processes are made efficient with automatic onboarding, dynamic resource allocation, and isolation verifier, and security is guaranteed. Isolated monitoring and log management are carried out with metric aggregators, log managers and anomaly detection engines, and the data integrity and security are guaranteed throughout the system in line with the principle of zero trust architecture.

The present application relates to the technical field of edge computing, and in particular to an edge network storage and computing integrated data transmission path optimization method and a heterogeneous fusion architecture. The method comprises the following steps: a central processing unit preconfigures a service policy matrix; a collection and scheduling module performs the following steps: collecting data packets and obtaining the network protocol stack five-tuple of each data packet through real-time analysis; matching the obtained five-tuple with the preconfigured service policy matrix to obtain a plurality of service purposes corresponding to each data packet; differentiating the data packets based on different service purposes of the data packets and making a routing decision; and parallelly transporting the differentiated data packets to different target peripherals according to the routing decision. Thus, the limitation of one-way data flow of DPU / smart network card is overcome, end-to-end transmission in storage and computing integrated application scenarios is realized, data transmission delay and CPU load are significantly reduced, and the system energy efficiency ratio is improved.

Disclosed are systems and methods that provide a novel framework for the creation, management and electronic transfer of electronic, machine-readable data as tangible digital assets accessible from a network storage (e.g., blockchain, for example), which can be utilized by entities via native and / or third party software. The disclosed framework can operate by transforming data in a raw static format to a liquid format through standardization and factorization. The data can be standardized via tags associated with governance and policy frameworks, as well as infrastructure requirements. In some embodiments, the (tagged) data can be factorized to create data (or containers, data models or collections of containers / models) as labeled, intelligent data. And, the framework can then electronically transfer the labeled data. As a result, capabilities of data liquidity can be achieved via a web-agnostic storage and framework accessible through smart contracts.

The application discloses a network security-based storage device applied to the technical field of network storage devices, which can drive the air-permeable plate into contact with the fixed plate by the pressure generated by the water pump when the storage device body catches fire due to high temperature failure, so that the heat dissipation water tank enters a closed state, heat dissipation by air cooling is avoided, and the fire is intensified, meanwhile, when the two air-permeable plates move, the sealing plug can also be moved, so that the fire-retardant gas in the fire-retardant gas enters the air outlet cylinder and is discharged from another air outlet, the fire-retardant gas can effectively reduce the oxygen content in the heat dissipation water tank, further reduces the effect of fire spreading, in addition, the release of the fire-retardant gas also opens the switch of the buzzer, plays a reminding role on the staff, promotes the staff to arrive at the scene, and takes fire extinguishing measures in time.

The embodiment of the application discloses a discovery method and device for evaluating functions, and is used for improving the accuracy of analysis results obtained by a network data function (NWDAF) network element. The method of the embodiment of the application comprises the following steps: a network storage function network element receives a discovery request sent by a first network element, wherein the discovery request is used for requesting to discover a network element supporting evaluation requirements of the first network element. The network storage function network element sends a discovery response to the first network element, wherein the discovery response comprises information of a candidate network element, the candidate network element supports the evaluation requirements of the first network element, and the candidate network element is used for determining a target network element, and the target network element is used for performing an evaluation task.

This invention discloses an automatic generation method and system for a cloud computing operating system based on a self-developed, self-evolving large-scale code model. By constructing a large-scale code model with a hybrid expert structure, grouped query attention, and self-evolution capabilities, and combining technologies such as local low-bit loading, real-time memory release, intelligent code cleaning, and modular scheduling generation, this invention automatically generates the core module code for a cloud computing operating system, including kernel, scheduling, network, storage, and security modules, and automatically completes the compilation and construction. This invention solves the problems of non-standardized code generation, easy memory overflow, inability to generate a complete system, and lack of model evolution in existing large-scale model generation methods. It has advantages such as local high efficiency, clean code, full automation, and self-iterative upgradeability of the model, enabling rapid generation of industrial-grade deployable cloud computing operating systems and significantly reducing the development cost and cycle time of underlying systems.

This invention relates to the field of combined heat and power (CHP) district heating technology, and discloses a method and related equipment for regulating operation using heat network storage. The method includes: constructing a dynamic model of the heating system based on heat network storage; inputting regulation parameters containing electricity and heat load demands into the constructed dynamic model; calculating the steam extraction flow parameters of the heating unit based on the regulation parameters within the dynamic model; quantifying the regulation time using the room temperature recovery time index, and determining the optimal regulation time window within the regulation time; adjusting the steam extraction flow parameters of the heating unit within the optimal regulation time window, and restoring the adjusted steam extraction flow parameters of the heating unit to the design operating conditions. This invention, through precise regulation operation, fully utilizes the heat network storage capacity, avoids excessive construction of heat storage facilities, thereby reducing investment in the purchase, installation, and subsequent maintenance of heat storage equipment, and improving the overall economic efficiency of the heating project.