1058 results about "System service" patented technology

The invention discloses a computer system service optimization scheduling method for a photoelectric system, and particularly relates to the technical field of computer service optimization, which comprises the following steps of: sensing and extracting information such as task types and time constraints through task characteristics, and constructing a multi-dimensional resource model such as processing capability and idle degree by combining resource modeling; a weighting mechanism is used for evaluating task priorities and generating a scheduling queue, tasks are dynamically mapped to matched resources, a scheduling strategy is adjusted according to system loads and feedback, model parameters are optimized through service feedback, and efficient, self-adaptive and intelligent optimization of task scheduling of the photoelectric system is achieved; according to the method, a dynamic scheduling mechanism based on task characteristics and resource prediction is realized, and the response speed of the high-optimal task is improved; optimizing the resource utilization rate by adopting resource state modeling and prospective mapping; and reinforcement learning and a feedback closed loop are introduced, a sustainable optimization scheduling system is constructed, and the adaptability and stability of the system in a complex photoelectric task environment are enhanced.

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.

The invention discloses an intelligent government affair service platform and a data processing method applied by the intelligent government affair service platform, and relates to the technical field of government affair service management, and the method comprises a public configuration module which is used for carrying out hierarchical configuration on system service capability according to a configuration instruction, and the hierarchical configuration comprises capability application management configuration, public template configuration and service model configuration; the service model configuration comprises a service overall planning model and a service implementation model; the reservation rule engine module comprises multi-level reservation rules of a hall reservation rule, a special area reservation rule and an item reservation rule, rule parameters can be dynamically adjusted, and the multi-level reservation rules comprise a reservation time period, a government affair service number allocation strategy and a conflict detection mechanism; the business handling module is used for realizing automatic material verification and document generation in a certificate-free business scene; and carrying out data interaction with an external system through the capability application management module, and carrying out system service capability authorization. The service efficiency of government affair services is improved, and the government affair handling experience of the masses is improved.

The invention relates to the technical field of computers, in particular to a server running state monitoring method and system and a medium. The method comprises the steps of obtaining time sequence operation and maintenance data of a system service; the method comprises the following steps: mapping an unstructured log text into a low-dimensional dense text vector by adopting an embedded learning method, splicing the text vector and a standardized numerical vector of a structured index to obtain a unified high-dimensional feature vector, and forming a cross-time vector database; constructing an AI model used for time sequence prediction, anomaly detection and cascade reasoning of classification decision based on a multi-model fusion architecture; training the AI model based on the vector database; and inputting the real-time feature vector into the trained AI model, and outputting to obtain a decision result of the system service operation state. Uniform expression of cross-modal features is effectively realized, cascade model architecture design is cooperated, the dynamic adjustment capability of the model and the accuracy of composite fault detection are improved, and rapid decision-making of fault types is realized.

The present application belongs to the technical field of system service health level evaluation. Disclosed are a service health level evaluation method, an electronic device and a readable storage medium. The method comprises: in response to collected state monitoring data of a distributed system, acquiring target operation state information, which matches the state monitoring data, among multiple pieces of operation state information of a service health level evaluation model; on the basis of a causal relationship between the respective ones of the multiple pieces of operation state information, determining associated operation state information having a direct causal relationship or an indirect causal relationship with the target operation state information; and determining associated data, which matches the associated operation state information, in the state monitoring data, and determining a service health level of the distributed system on the basis of the associated data.

The invention discloses a power supply system, a server, a fault detection method, equipment and a storage medium, and relates to the technical field of servers, a first electronic switch and a fault processing circuit are arranged on a mainboard, and the reliability and complete fault record of the system can be ensured under the condition that a standby power supply fails. Specifically, when a first standby power supply provided by the power supply distribution board through the first electronic switch is abnormal, the first electronic switch is turned off, and the fault processing circuit can continue to work after the standby power supply breaks down, so that accurate and complete recording of fault information is realized, and data support is provided for subsequent fault reason analysis; therefore, the to-be-tested power supply can be effectively monitored.

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.

Systems, devices, and methods are provided for cryptographic co-dependent across multiple roots of trust. A device may comprise two or more co-dependent roots of trust, such as a trusted execution environment (TEE) of a main application processor and a cryptographic subsystem comprising a cryptographic processor. A server may validate digital signatures generated by each co-dependent root of trust that is known for the device and then provide the device with cryptographic material that can be used to establish a shared secret. The shared secret may be used by the device to request the performance of a sensitive operation.

The invention discloses an architecture system applied to embedded system development, and relates to the field of embedded system development, and the architecture system comprises an application layer which is used for executing business logic in an embedded system and managing the configuration of the embedded system, and the application layer is developed by adopting a Lua script; the hardware abstraction layer provides a unified hardware access interface; and the virtualization interface layer is used for providing a uniform interface for the application layer, so that the application layer can access the hardware resources of the hardware abstraction layer and call the system service in the embedded system. According to the method and the device, the problem that cross-platform transplantation is difficult due to the fact that a C language direct programming mode is adopted in an embedded system in the related technology is solved.

The invention discloses a system, a server, a method, a medium and a program product for sharing a memory resource pool, and relates to the field of artificial intelligence, a plurality of switching components of a switch are connected with processors of a plurality of computer devices and the memory resource pool, and the plurality of computer devices share memory resources of the memory resource pool through the switch, different memory capacities are allocated according to the requirements of the computer equipment, dynamic allocation and efficient sharing of memory resources are achieved, the memory utilization rate of a whole machine system is improved, the memory access delay of the computer equipment is reduced, the memory sharing consistency of multiple pieces of computer equipment is ensured, and the requirements of multiple computing scenes are met. Therefore, the technical problems that in the prior art, a server cooperative computing method based on the remote direct memory access (RDMA) technology is large in transmission delay, the requirements of various computing scenes cannot be met, the consistency of shared memories of multiple computer devices cannot be guaranteed, and the resource utilization rate is low are solved.

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.

Described herein are computerized methods and systems for generating and deploying fraud detection training data for physical identification documents. A server identifies a review image depicting a physical identification document to be validated, the document comprising areas of interest each associated with a fraud signal. The server generates a dataset comprising reference images, each depicting a reference document. The server aligns document features depicted in the review images and the reference images and crops each aligned image. The server identifies a fraud detection question for the cropped review image and displays the review image, the reference images, and the question in a user interface. The server receives a response to the fraud detection question and determines accuracy of the question based upon the response. The server labels the review image as genuine or fraudulent when the accuracy of the question is above a threshold.

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 relates to a service calling link generation method and device, equipment, a medium and a vehicle. According to the method, the tracking identifier of the service request can be created in response to the service request of the application; in response to the fact that at least one system service needed by the service request is called, a service calling identifier of each called system service is generated, and each service calling identifier corresponds to the tracking identifier; according to the sequence of calling the system services, sorting the at least one service calling identifier corresponding to the tracking identifier, constructing a service calling link of the service request, constructing the service calling link of the service request of the application program, and calling the service request of the application program through the service calling link. The complete calling path and the calling process of the system service of the service request of the application program can be determined, and great convenience is provided for subsequent abnormal system service positioning.

Provided is a system for personalized federated learning under bitwidth for client resource and data heterogeneity. The server includes one or more processors programmed to obtain quantized models under different bitwidth generated by client devices, de-quantize the quantized models by using global unlabeled data to run self-supervised learning (SSL), aggregate the de-quantized models, re-quantize the aggregated models based on the SSL and the global unlabeled data, and transmit the re-quantized models to the client devices.

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.

A control system of a heating, ventilation, and / or air conditioning (HVAC) system includes a data communication controller configured to receive, via a first wireless communication protocol, data from a sensor indicative of an operational parameter of the HVAC system. The data communication controller is also configured to receive, via an electronic device communicatively coupled to the data communication controller, a control instruction, and to transmit, via a second wireless communication protocol different from the first wireless communication protocol, a control signal to adjust operation of an HVAC component configured to enable supply of conditioned air to a structure serviced by the HVAC system based on the data and the control instruction.

The invention relates to the technical field of torque sampling inspection, in particular to an intelligent mechanical torsion control method and system. Comprising the following steps: dynamically binding a plurality of intelligent wrenches to a specified station through a system server, namely distributing an independent IP and a communication port for each wrench, and establishing a three-dimensional mapping relationship among an operator account, a station number and a wrench serial number; constructing a dynamic torque calibration model based on the environmental parameters and the equipment state, and correcting the original measurement value of the wrench in real time; uploading a tracking card number to a server through a station code scanning gun, and establishing a binding relationship between the tracking card number and a station number; the intelligent wrench uploads real-time tightening data through a multi-path redundancy transmission mechanism, and the server associates and stores the data with the station number and the tracking card number; and dynamically distributing a process program sequence according to the historical efficiency of the station, and issuing the process program sequence to the wrench for execution through the handheld controller. The scheme provides a novel torsion management and control system with dynamic resource scheduling, total element data connection and intelligent process adaptation.

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.

The electronic shipping label device may display a shipping label image or shipment information using an electronic paper display, and may be attached to an item for shipment of the item from an origin to a destination. A host device, such as an electronic device of a user, may configure the electronic shipping label device to display the shipping label image. The host device may be configured to communicate with a system server of a shipping management system to provide shipping parameters corresponding to the shipment and receive the shipping label image (e.g., from a third-party system, such as a system associated with a shipping carrier). The host device may transmit the shipping label image to the electronic shipping label device for display.