844 results about "System service" patented technology

The invention discloses a cross-container application fusion switching method of a swan monk system, which comprises the following steps: a system service layer deploys a container application management service, an application framework layer realizes a proxy application manager, when a container application is started, a container side allocates a shared memory and configures authority, the container manager collects metadata to initiate registration, and the application framework layer realizes a proxy application manager; the container application management service converts a memory handle into a texture handle, allocates a unique identifier and triggers a proxy application manager to generate a proxy application, and the proxy application initializes a Vulkan rendering environment; the container side renders an application interface to a shared memory, the proxy application imports texture and constructs a lightweight Vulkan rendering pipeline, and scaling sampling is carried out to generate a thumbnail of the container application; and when the container application exits, the shared memory is released, the container application management service cleans the shared memory reference, triggers and destroys the proxy application, and recycles the texture resources through the reference counter, so that seamless fusion, low-delay switching and efficient resource utilization of the container application in a native application thumbnail form are realized.

Provided in the embodiments of the present application are a server system, a resource scheduling method for a server system, and a chip and a chiplet. The server system comprises: a multivariate computing resource pool, a data storage resource pool, a switching module and a control module, wherein the multivariate computing resource pool comprises a general computing resource pool and a heterogeneous computing resource pool, the general computing resource pool comprising a group of general computing units, and the heterogeneous computing resource pool comprising a group of heterogeneous computing units, and the multivariate computing resource pool is connected to the data storage resource pool via the switching module by means of a cache consistency bus inside the server system; the data storage resource pool comprises data storage resources allowed to be shared by multivariate computing resources in the multivariate computing resource pool; and the control module is configured to perform computing power scheduling on the multivariate computing resources in the multivariate computing resource pool, and dynamically allocate the data storage resources in the data storage resource pool to the multivariate computing resources in the multivariate computing resource pool.

The invention relates to the technical field of ecological system service function evaluation. The invention relates to a frequency offset correction algorithm in HPLC (High Performance Liquid Chromatography) + HRF (High Radio Frequency) dual-mode communication. The method comprises the following steps: S1, collecting phase sequence data from an HPLC communication link, collecting frequency offset estimation data and corresponding confidence data from an HRF communication link, and adaptively adjusting a preset detection threshold value of the phase sequence data according to the confidence data; s2, performing pulse abnormal sample point detection and elimination on the phase sequence data according to the adjusted preset detection threshold value; according to the method, the detection threshold is dynamically adjusted through the confidence data, so that the anomaly detection process can be matched with the current interference environment in real time, the integrity of the phase sequence data is maintained, and the problem of insufficient adaptability of a fixed detection threshold in an electromagnetic interference dynamic change scene is solved; and a more reliable phase data basis is provided for subsequent interpolation compensation and frequency offset estimation, so that the frequency offset correction precision of the dual-mode communication system is improved.

The invention discloses a server configuration method and system, a server, equipment and a medium, and relates to the technical field of computers.The method comprises the steps that a configuration file sent by a front-end tool is received and analyzed through a unified configuration service interface, and a to-be-configured item and to-be-configured information corresponding to a current configuration event are obtained; obtaining an execution topological structure chart matched with the current configuration event; according to the execution topological structure diagram, sending a modification instruction carrying to-be-configured information to a to-be-configured module in a server; and according to a preset event atomization configuration rule, if any to-be-configured module runs abnormally, rolling back each to-be-configured module corresponding to the current configuration event to the previous configuration version. Centralized management of configuration is realized through a unified configuration service interface; and through the event atomization configuration rule, the consistency of the overall configuration state is ensured. The problem that the current configuration automation degree is low can be solved, and the effect of improving the configuration automation degree and the configuration efficiency is achieved.

The invention provides a liquid cooling leakage detection system and a liquid cooling cabinet, and relates to the technical field of data center cooling. The system comprises a cabinet liquid leakage detection system, a server liquid leakage detection system and a liquid cooling control system, the cabinet liquid leakage detection system comprises a cabinet bottom plate detection sensor array arranged at the bottom of the liquid cooling cabinet and used for monitoring the liquid accumulation state in the liquid cooling cabinet in real time and generating a liquid accumulation signal; the server liquid leakage detection system comprises a cold plate detection unit of a cold plate arranged in the liquid cooling server and used for monitoring the cooling liquid leakage state of the cold plate in real time and generating a leakage signal of the cold plate; and the liquid cooling control system is in communication connection with the cabinet liquid leakage detection system and the server liquid leakage detection system, and is used for receiving and responding to the liquid accumulation signal and the leakage signal of the cold plate, generating alarm information and triggering a control instruction of corresponding control processing. According to the invention, the accuracy of liquid leakage detection is improved, so that the probability of missed detection is reduced.

Embodiments provide artificial intelligence methods and systems for evaluating vulnerability risks of issuer authorization system. Method performed by a server system includes accessing a set of payment transaction data including subset of fraudulent transaction data. Method includes generating via a machine learning model, set of synthetic transaction data based on the subset of fraudulent transaction data. Method includes accessing set of historical card velocity features and collating the set of synthetic transaction data and the set of historical card velocity features to generate set of enriched synthetic transaction data. Method includes extracting via a classifier, subset of feasible fraudulent transaction data from the set of enriched synthetic transaction data. Method includes generating simulated authorization model based on the set of payment transaction data. Method includes classifying via simulated authorization model, each enriched synthetic transaction from the subset of feasible fraudulent transaction data as one of fraudulent transaction and non-fraudulent transaction.

The invention discloses a multi-unmanned aerial vehicle cooperative auxiliary mobile edge computing task scheduling method and system, and belongs to the technical field of edge computing and intelligent scheduling, and the mobile edge computing task scheduling method comprises the following steps: obtaining the position information and computing task characteristics of a ground mobile terminal in a current time slot, performing preliminary task shunting according to the task data size and a preset threshold value; constructing a joint optimization model, and performing joint optimization on a two-dimensional track, a computing resource allocation strategy and a task migration decision of the unmanned aerial vehicle by taking minimization of total processing time delay of system tasks as a target; the optimization problem is solved by adopting a mixed action multi-agent deep reinforcement learning algorithm, the problem of complexity of multi-unmanned aerial vehicle cooperative scheduling in a dynamic environment is effectively solved, the task processing time delay is remarkably reduced, and the edge resource utilization rate and the system service continuity are improved.

The invention relates to the technical field of network security, in particular to a defense method and system for federated learning backdoor attacks, a server initializes a federated learning global model, and identifies at least one key layer easy to implant a backdoor in the global model; distributing the current global model parameters to a plurality of clients, receiving model update information uploaded by each client, extracting a multi-dimensional gradient feature vector of each client based on gradient information of each client in a key layer, calculating a mahalanobis distance anomaly score of each client relative to the gradient distribution of the whole client, and calculating the mahalanobis distance anomaly score of each client according to the mahalanobis distance anomaly score; and screening and rejecting the clients which are judged to be abnormal, aggregating model updates uploaded by the clients which are judged to be benign, and generating a new global model. Malicious updating is effectively isolated while the performance of the main task is ensured, and the robustness and safety of a global model are improved.

The present disclosure is related to Intelligent Transport Systems (ITS), and in particular, to service dissemination basic services (SDBS) and / or collective perception service (CPS) of an ITS Station (ITS-S). Implementations of how the SDBS and / or CPS is arranged within the facilities layer of an ITS-S, different conditions for service dissemination messages (SDMs) and / or collective perception message (CPM) dissemination, and format and coding rules of the SDM / CPS generation are provided.

The invention discloses a federal learning method and system based on global prototype guidance. The method comprises the following steps: a server sends a global model and a global prototype to a local client; the local client performs rebalance comparison learning by using the global prototype, and updates the local model; the local client generates a balanced confrontation positive prototype instance set and trains a classifier; the local client side calculates a local prototype and uploads the local prototype and the updated local model to the server side; and the service aggregates the updated local model and local prototype, and updates the global model and global prototype. The system comprises a server and a local client. According to the method, the Non-IID problem in federated learning is solved, and the accuracy and generalization of the model are improved. The method can be widely applied to the technical field of distributed machine learning.

The invention relates to the technical field of artificial intelligence and knowledge engineering, and provides a digital human knowledge graph dynamic iteration system and method based on user feedback. According to the method, the timeliness and automation level of knowledge updating are improved; the configuration efficiency of technical resources is optimized; a data-driven iterative verification closed loop is constructed; according to the knowledge service system, the maintainability and robustness of the system are enhanced, the system has the capabilities of tracking, querying and rollback any change, the risk of system service degradation caused by misoperation or invalid updating is greatly reduced, and the stability of the whole knowledge service system is improved.

The invention provides an ecological system service flow simulation and collaborative tradeoff relation quantification method based on a graph neural network, and relates to the technical field of ecological system service simulation and quantification. According to the method, the Huaihe River basin serves as a research area, firstly, a landscape is abstracted into a graph structure, ecological patches serve as nodes and are endowed with multi-dimensional features, ecological process flow paths serve as edges, and flow attributes are quantified; then, constructing a graph neural network model, and learning inherent rules of generation, flow and consumption of an ecological system service through training; and finally, realizing ecological system service, particularly dynamic simulation of supply service and adjustment service, and quantifying the collaborative tradeoff relation by adopting a multi-index fusion method. According to the method, the nonlinear correlation of the ecological process can be accurately captured, the flow simulation and relation quantification precision is improved, scientific support is provided for ecological planning and management of the Huaihe River basin, and compared with an InVEST model, the simulation error is reduced by 20%-30%, and the collaborative tradeoff recognition accuracy is improved by 15% or above.

According to one embodiment of this specification, there is provided an operation method of user equipment (UE). The method may comprise: generating an Evolved Packet System (EPS) Mobility Management (EMM) transport message for an initial non-access stratum (NAS) message; and transmitting the EMM transport message with an integrity protected. If the EMM transport message may include a data container, the EMM transport message may be partially ciphered. The EMM transport message may be transmitted if the UE uses an Evolved Packet System (EPS) service with control plane Cellular Internet of Things (CIoT) EPS optimization with overhead reduction.

The invention provides a time-triggered protocol network planning method and system for an aviation power supply system, and a storage medium. The network architecture adopts a hardware-level dual-redundancy design, each communication node is provided with two independent TTP physical interfaces and corresponding TTP daughter cards, and the TTP physical interfaces and the corresponding TTP daughter cards are respectively accessed to a TTP A network and a TTP B network which are logically independent, so that channel-level fault isolation is realized. The planning method comprises the following steps: classifying messages according to power supply system services and defining a transmission period; initializing a cluster and setting time parameters such as a TDMA period and a cluster period; packaging the messages with consistent periods and reserving extension bits in a data structure; and calculating the time slot capacity based on the transmission rate, the node number and the TDMA period, and generating a deterministic message scheduling table. According to the method, high communication reliability is guaranteed through dual-network redundancy, the real-time requirement of various messages such as control and alarm is met through systematic scheduling, the expandability of the network is improved by reserving expansion bits, and the method is suitable for an aviation power supply system with strict communication performance requirements.

Techniques for implementing a fuzzy logic expert system / service to control sending of a requested media file and / or control triggering of a remedial action (e.g., not sending the media file) are described. According to some examples, a computer-implemented method includes receiving a request at a content delivery service from a user for a media file, generating a piracy risk score for the media file by a fuzzy logic expert service of the content delivery service, sending the media file to the user based on the piracy risk score not exceeding a threshold, and blocking the sending of the media file to the user based on the piracy risk score exceeding the threshold.

Methods and systems for connection management are disclosed. A service entity may provide preferential treatment to a group of devices on a network. To identify itself as being entitled to receive such treatment, a user device may send one or more credentials to a server device associated with the service entity. The credential(s) may be used to determine if the user device belongs to the group of devices. If the user device belongs to the group of devices, the service entity may establish one or more enhanced service flows that the user device can use to communicate with and / or over the network.

A change tracking and delta generation (CTDG) system servicing multiple clients is disclosed for enabling the delta generation during replication to be proportional to the number of changes between two snapshots instead of the size of the snapshots. In some embodiments, CTDG can track changes to a file system, where change-tracking can be dynamically switched between two sub-CT modes, file level or directory level. Change-tracking (CT) keys may be generated accordingly and stored in a data structure to be used for delta generation during replications for clients. In some embodiments, change-tracking may be enabled or disabled for different clients. CTDG can coordinate the CT enablement / disablement to ensure replications can use the information in CT keys properly.

The invention belongs to the technical field of database migration, and discloses a heterogeneous database migration scheduling method, equipment and device based on a distributed architecture, the method is applied to system services, and the method comprises the following steps: when a specified migration task is migrated from a database source end to a database target end, according to an object type of the specified migration task, scheduling the migration task according to the object type of the specified migration task; splitting the specified migration task into a plurality of migration stages with a dependency relationship; acquiring a preset migration sequence among a plurality of migration stages; and on the basis of the migration sequence, sequentially executing the corresponding migration stages by using the preloaded resources of the migration stages through preselected available migration service nodes to obtain execution results of the migration stages so as to complete migration of the specified migration task from the database source end to the database target end. According to the method, database migration in a complex migration scene can be realized, the migration success rate is improved, on-demand resource loading can be realized, and the migration efficiency is improved.

Described herein are methods and systems to partially freeze an electronic account associated with a user. The server receives, via a graphical user interface a request to execute a network operation to connect to a webserver. When the server executes the network operation, the server transmits a request for access to the electronic account associated with an electronic application of the user. Once the webserver authenticates the request, the server can receive an indication that the request to access the electronic account has been blocked by the webserver. The server can revise the graphical user interface and authorize the user. Once the user is authorized, the server can cause the webserver to remove the blocked access and provide access to the electronic account. Furthermore, the server can cause the webserver to block future access to the electronic application.

The embodiment of the invention relates to the field of computer software testing, and discloses a buried point testing method and system, a server, a storage medium and a program product. The method comprises the following steps: calling a burying point test case described by a natural language corresponding to a tested object; identifying an operation platform of the tested object; converting the burying point test case described by the natural language into an underlying operation instruction executable by the operation platform, and sending the underlying operation instruction to the operation platform; and obtaining test result data reported after the operation platform executes the underlying operation instruction, obtaining expected result data of the buried point test case for the operation platform, and performing data assertion according to the test result data and the expected result data. According to the application, through the burying point test case described by the natural language, the operation steps in the burying point test are decoupled from the operation platform and the specific business, and the same test case can be suitable for different operation platforms, so that the problem of high maintenance cost caused by the fact that different platforms need to maintain test codes respectively is solved.

The invention discloses a server power supply system, a server, a topological structure generation method and a storage medium, and relates to the technical field of power electronics. According to the invention, a high-voltage centralized conversion-medium and low-voltage distributed distribution two-stage architecture and a physical isolation design of the first direct-current bus and the second direct-current bus are adopted, and an adaptive mounting platform is provided for load nodes such as a super-capacitor node and an energy storage node depending on the second direct-current bus; the mounting number of the load nodes can be determined based on the power required by the load nodes and the voltage and through-flow level of the second direct current bus, and high-voltage power supply conversion and power supply of the load nodes are separated, so that physical isolation of high-voltage direct current of the first direct current bus and low-voltage direct current of the second direct current bus is realized. The high-voltage direct current input is ensured to be safely, efficiently and stably distributed to each load node in the server after being converted. The problems of potential safety hazard and reliability risk caused by direct access of the high-voltage direct current to the load node, poor mounting adaptability of the load node and the like in the prior art are solved.

A system including a server and a wireless RF access node connected to a communication network is provided. The server provides a first publish-subscribe broker of one or more publish-subscribe brokers forming part of a publish-subscribe broker network. The server connects to the wireless RF access node. A first entity connects via the wireless RF access node to the first publish-subscribe broker using a unicast IP address and thereafter publishes data packets. A second entity connects to the publish-subscribe broker network via any of the one or more publish-subscribe brokers. The server provides packet distribution services via the first publish-subscribe broker for the first entity, the publish-subscribe broker network routes communications from the first entity to the second entity when the second entity is subscribed; and the data packets published by the first entity are routed through the publish-subscribe broker to which the second entity is connected.

The invention provides an elevator health state monitoring and fault prediction method and system, a medium and a product. According to the method, a system server firstly obtains running state information and sensing data of all parts of an elevator door, then the deviation degree of the running state information of all the parts of the elevator and a running standard value is calculated to obtain a first health value set, and quantitative evaluation of the health conditions of the parts is preliminarily completed. And then, the system server recognizes an abnormal event from the sensing data, the system server obtains the current running state information of each component when the elevator door reaches a stable state after the abnormal event, and the health value is updated by calculating the state change rate, so that the health assessment can dynamically reflect the influence of an emergency on the component. And the system server calculates the attenuation trend of the health value of each part based on the time sequence data of the updated health value, and predicts the time when the elevator door possibly breaks down in combination with a preset fault threshold value. According to the method, the timeliness of elevator door health monitoring and the accuracy of fault prediction are effectively improved.

The invention discloses a server management system, a server management method and electronic equipment, and relates to the technical field of computers.In the method, on one hand, edge nodes are arranged in a plurality of different areas respectively, and each edge node is connected with a server in the area where the edge node is located through a first communication line; and connecting a cloud management platform through a second communication line. The edge node can perform autonomous management on the server in the area based on the management information issued by the cloud management platform. The server and the edge node are located in the same area, and the communication delay is short, so that when the server fails, the edge node can timely issue an instruction to perform fault processing, and the fault recovery duration of the server can be shortened. And on the other hand, the theoretical communication rate of the first communication line is higher than the theoretical communication rate of the second communication line, so that the data transmission rate between the server and the edge node can be improved, and the fault recovery duration of the server is further shortened.

The invention discloses a cross-system service data processing method, device and equipment, a medium and a product. The cross-system business data processing method comprises the following steps: establishing a dynamic field mapping relationship between an integration layer and a plurality of target business systems; extracting capital construction business data from the target business system through the integration layer according to the dynamic field mapping relationship, and performing standardization processing to obtain standard business data; aiming at each stage of the capital construction project, constructing corresponding index data to obtain an index system; on the basis of an index system, index penetration query is carried out on standard business data, and a linkage management and control mechanism of an index abnormal item and an infrastructure project three-dimensional model is established; on the basis of the multiple access roles, corresponding visual billboards are distributed, and the visual billboards support index display; and based on a preset data quality rule base, performing quality evaluation on the standard business data, and identifying data abnormal items. According to the technical scheme provided by the embodiment of the invention, integrated management and control of cross-system business data are realized.

Methods by a telematics device and a telematics device for simplifying captured telematics data and providing near real-time data points to a telematics server. Simplifying the data uses an algorithm that prioritizes primary data while providing timely secondary data under various conditions. In some implementations, a data simplification method is applied to partially filled data captured buffers containing secondary data. In some implementations, partially filled data capture buffers are processed if data points of that data type have not been selected for sending or if the data capture buffers are filled over a particular threshold. In some implementations, data points having an estimate error greater than an estimate error threshold are selected for sending to the telematics server.

The invention relates to the technical field of machine learning, provides a comprehensive sand prevention system service life evaluation system based on deep learning, and solves the problems of insufficient service life prediction precision, limited modeling capability and unstable result of an existing method in a complex wind and sand environment. The system comprises a data acquisition module, a preprocessing fusion module, a life evaluation module and an early warning module. According to the system, a double-branch HCT structure is adopted to balance local and global features, front and rear end frequency domain refining modules are combined to strengthen degradation features, and a KAN-based channel space joint-logarithmic linear Transform and layered mask mechanism is introduced to realize efficient long-time-sequence modeling; error fluctuation is inhibited through a differential generalization loss function, and the prediction stability is improved; the system can realize residual life high-precision prediction and risk early warning under the conditions of long-term sand erosion and climate fluctuation, and provides support for sand prevention project maintenance and planning.

The embodiment of the invention provides a data reading method and a data writing method.The data reading method comprises the steps that a current caching strategy is obtained in response to a data reading request sent by an application program; under the condition of determining that the current caching strategy is the first caching strategy, distributing a target caching page which is not added into a page management chain table, and forwarding the data reading request to a user space file system service process; obtaining and analyzing reply data returned from the user space file system service process to obtain the to-be-read data; and writing the to-be-read data into the target cache page and copying the to-be-read data to the user space, and releasing the target cache page. By starting the first cache strategy, the to-be-read data is directly written into the target cache page and released after completion, and the phenomenon of application program blocking caused by direct memory recovery is remarkably reduced.

The invention provides a highway operation and service intelligent system, which comprises a road section platform, an area platform and a road network platform, and is characterized in that the road section platform is used for collecting and summarizing various sensing data of a corresponding highway section based on an ETC system to obtain system business data; road network situation historical statistics, road network situation real-time monitoring and road network situation future prediction are carried out according to the ETC data of the corresponding expressway section and the adjacent expressway road network; and long and short time traffic flow prediction, congestion prediction, holiday and festival traffic flow prediction and traffic flow prediction in a severe weather scene aiming at the corresponding expressway section are realized from multiple angles. According to the invention, the emergency disposal response speed and the intelligent degree of expressway operation and service can be improved, the timeliness rate, the accuracy rate and the correct rate of detection of various traffic and meteorological events can be improved, and the requirements of cooperative monitoring and linkage emergency disposal of low-time-delay traffic safety events are met.

The invention discloses an adaptation and cutting method and system based on an electric power terminal equipment swan operating system, and the method comprises the steps: firstly carrying out the adaptation between the function demands and performance requirements of the electric power terminal equipment and the type of the swan operating system and the type of a chip; then, a service management center, an equipment event monitor and an application incubator process are started in sequence through an initialization script, system service adaptation is achieved, hardware nodes needing to be clipped are removed based on a layered clipping strategy, customized function clipping can be conducted on the swan mongolian operating system according to different electric power application scenes, then drive adaptation is conducted, and the operation efficiency of the swan mongolian operating system is improved. According to the method, the power terminal equipment is ensured to stably and efficiently operate under the selected swan-gap operating system, and finally old application transplantation and new application deployment on the power terminal equipment are realized, so that efficient operation and function customization of the power terminal equipment under the swan-gap operating system can be realized; and the overall performance and reliability of the power Internet of Things system are greatly improved.