265 results about "Web system" patented technology

A device may use a device discovery process to automatically determine a configuration of a home network system of the user. A device may store data representative of the determined configuration of a home network system of the user in a data repository. A device may use the data representative of the determined configuration of the home network system of the user to automatically verify a compliance by the user with a condition for receiving the targeted advertisement. A device may provide the targeted advertisement to the user when the determined configuration of the home network system of the user is determined to be in compliance with the condition for receiving the targeted advertisement.

The invention provides an anomaly detection and maintenance decision optimization method and system for automatic test equipment, and relates to the technical field of automation, and the method comprises the steps: deploying an edge calculation unit and a multi-level sensor network to collect equipment data, carrying out the fault diagnosis through a deep network model, and constructing a maintenance decision model in combination with equipment operation data. The model is input into a quantum enhancement dual-network system to calculate a reward value, and is used for training a maintenance strategy network under a federal reinforcement learning framework. And generating a maintenance resource configuration scheme through a quantum evolutionary algorithm, and generating a maintenance scheme through optimization of the multi-criterion evaluation model and the self-adaptive multi-target differential evolutionary algorithm. According to the scheme, a high-fidelity digital twin model and a multi-task deep transfer learning network are input for verification and updating, updated data are transmitted to a field control system through an industrial Internet of Things platform, and the updated data are recorded by using a block chain technology for updating a deep network model.

The invention discloses a cross-platform authority unified management method and system based on a multi-WEB system, and the key point of the technical scheme is that the method comprises the steps: obtaining organization structure data of an enterprise system, analyzing the organization structure data, constructing a multi-level tree topology network, forming organization entity topology parameters, analyzing the organization entity topology parameters, and storing the analyzed organization entity topology parameters into a database; according to the scheme, post authority baseline parameters are generated, dynamic optimization of channel selection is achieved by constructing a dual-channel transmission decision maker and combining real-time network state data and an inter-system interaction characteristic score table, and compared with a traditional static configuration mode, the mechanism can achieve dynamic optimization of channel selection according to parameters such as department communication strength, system transmission performance and safety scores. According to the method, the optimal transmission path is automatically selected, network congestion or high-delay nodes are avoided, cross-system adaptation rules are generated through mapping calculation of an authority interface strategy and post authority baseline parameters, the problem of authority granularity difference between different systems is solved, and the accuracy and consistency of authority distribution are ensured.

The embodiment of the invention provides a method, device and system for constructing an attack graph, and a storage medium, and relates to the technical field of network security. The method comprises the steps that based on a test case knowledge base of a target system, an attack graph information expansion algorithm is executed through a knowledge graph technology, and expanded information is obtained; utilizing the expanded information to construct an attribute attack graph of the target system; and carrying out attack path description on vulnerabilities of the target system based on the attribute attack graph. An attack graph information expansion algorithm is executed through a test case knowledge base based on a target system and by means of a knowledge graph technology, information needed for constructing an attack graph can be obtained, potential attack paths can be mined, the attack graph information is expanded, and then a comprehensive and accurate attribute attack graph is constructed. According to the method, effective description of the vulnerability attack path of the target system is realized, so that the constructed attack graph can reflect the security condition of the network system more truly, more scientific decision support is provided for network security management personnel, and the network security protection effect is improved.

The invention relates to a request processing method and device for a large-scale concurrent communication network system based on micro-service architecture, computer equipment, a storage medium and a computer program product. The method comprises the following steps: determining a current server from a plurality of candidate servers; obtaining current load data and historical load data of a current server; performing feature extraction processing on the current load data and the historical load data to obtain a first feature vector of the current load data and a second feature vector of the historical load data; performing fusion processing on the first feature vector and the second feature vector to obtain a fused feature vector; inputting the fusion feature vector into a load prediction model to obtain predicted load data of the current server; and when the predicted load data is smaller than or equal to a preset load threshold value, sending the to-be-processed request to the current server, so that the current server processes the to-be-processed request. By adopting the method, the request processing efficiency can be improved.

An automated carbon asset network system and a carbon asset management method are provided. The automated carbon asset network system includes a carbon asset management digital platform realizing a carbon inventory executed for an enterprise through a computer system, and the carbon asset management digital platform includes a carbon asset network establishing module, a carbon asset network connection module, and a carbon asset network update module. The carbon asset management method includes: receiving data for stakeholders, internal or external carbon asset management digital platform, carbon asset management report formats, and carbon inventory obtained through automated customized questionnaires, by using the application program interface; automatically integrating carbon inventory data for supply chains and performing version control; digitally managing a full scope of an organizational greenhouse gas inventory and product carbon footprint information throughout product life cycles for brands in the enterprise; and generating documents according to requirements.

The invention relates to the technical field of internet big data, in particular to a cerebral hemorrhage space positioning and prognosis prediction network system based on three-dimensional point cloud. The cerebral hemorrhage space positioning system comprises an image acquisition module used for acquiring a brain CT image to be processed; the offset correction module is used for performing offset correction on the brain CT image to obtain a corrected brain CT image; the hematoma region segmentation model is used for segmenting the corrected brain CT image to obtain a hematoma region; the point cloud calculation module is used for calculating three-dimensional space coordinates of hematoma voxels in a hematoma area in a brain coordinate system based on the corrected brain CT image and taking the three-dimensional space coordinates as point cloud data of the hematoma area; and the point cloud data output module is used for performing normalization processing on the point cloud data of the hematoma area to obtain hematoma three-dimensional point cloud data representing the hematoma three-dimensional space position. According to the method, an accurate and comprehensive data basis is provided for cerebral hemorrhage prognosis prediction, and the accuracy and comprehensiveness of subsequent cerebral hemorrhage prognosis prediction are improved.

The invention discloses an agent assisted testing method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring demand information of a Web system to be tested; analyzing the demand information and generating a test case set; performing hierarchical labeling on the test case set to form a hierarchical case set containing the basic operation type case, the data verification type case and the complex logic type case; distributing the basic operation type use case to an execution module of the agent system, distributing the data verification type use case to an interface automation test module, and distributing the complex logic type use case to an artificial interaction terminal; and when the execution module or the interface automatic test module monitors that the case execution fails or the state is abnormal, an exception processing strategy is matched according to an exception type and an exception source, corresponding processing operation is executed, and feedback information used for optimizing the layered case set is generated. According to the method, the test tasks can be intelligently allocated and accurately executed, and automatic adaptation and optimization can be performed when an exception occurs, so that an efficient man-machine collaborative test is formed.

The invention relates to a Python-based Web system automatic test method, which comprises the following steps of interface test data capture, page element acquisition, test framework establishment and establishment of a visual test platform by combining a UI (User Interface) and an interface case, in the interface test data capture, a charls tool is used for data capture, agent setting and SSL (Secure Socket Layer) certificate installation; after packet capturing is completed, file conversion in a yaml format is carried out; in the step of page element acquisition, related information of elements is acquired by using a method provided by Selenium, and a page is analyzed, processed and packaged. According to the method, the Web automatic test execution efficiency can be improved, the problem that the use threshold is too high is avoided, and the project risk and the labor cost are reduced.

The in-vehicle device for receiving time synchronization information transmitted from each of a plurality of reference devices and transmitting the received time synchronization information to another device, includes: a communication unit configured to communicate with the other device; and an information processing unit configured to, if the communication unit receives a frame in which the time synchronization information is stored, store the time synchronization information in a specific queue with priority over other information, wherein the communication unit transmits the time synchronization information stored in the specific queue to the other device.

The invention provides a lightweight configurable cue word labeling method and system for a Web system, and relates to the technical field of Web front-end development and man-machine interaction, and the system comprises a front-end labeling plug-in module, a cue word content service module, a cue word management module and an intelligent recommendation module. The front-end labeling plug-in captures text content selected by the user by monitoring a global shortcut key, and allows the user to add prompt words of a text, a rich text or a link type; the prompt word content service module provides an API (Application Program Interface) to realize persistent storage of data; the prompt word management module provides a unified management interface for an administrator; and the intelligent recommendation module automatically judges the prompt word display priority through a candidate recall and sorting algorithm based on the user click behavior data, and continuously optimizes the recommendation result by using an online learning mechanism. The method is integrated to an existing Web system in a non-intrusive mode, business core codes do not need to be modified, the use threshold of the system is remarkably lowered, and precipitation and sharing of business knowledge are promoted.

The invention relates to the field of computer network security, in particular to an unauthorized vulnerability detection method and system of a Java Web system. The invention provides a method for detecting an unauthorized vulnerability of a Java Web system. The method comprises the following steps of: obtaining a to-be-detected code of a Java Web application; the code to be detected is converted into JIMPLE IR through a Soot framework; obtaining each authentication correlation function and each sensitive function in the code to be detected based on a prior rule base and the JIMPLE IR; based on whether the function call point of each authentication related function can reach one or more sensitive functions, obtaining each authentication outlet of the authentication related function; and analyzing the authentication path of each authentication exit structure to detect whether an unauthorized vulnerability exists. According to the method and the device, the authentication logic code with defects in the API can be detected instead of staying at a configuration level. And meanwhile, by introducing the inference capability of the large language model, deeper and more complex unauthorized vulnerabilities can be detected.

The invention discloses a marginal device intelligent sensing method and system based on information freshness, and a Markov decision process model is constructed by analyzing key factors in the marginal device intelligent sensing system. And secondly, the system state is updated in real time through dynamic adjustment of the sensing state, and parameters of equipment are adjusted according to new environment changes, so that the system can quickly respond in a complex environment. In the aspect of joint optimization, joint optimization is carried out on information age and energy consumption by utilizing a Lagrange multiplier method, and the freshness of information is maximized while energy constraints are met. And finally, through the deep Q network, the system can continuously optimize a decision strategy through an experience playback mechanism, so that the edge equipment can minimize the information age under the condition of limited energy in a continuously changing environment. According to the invention, the timeliness of sensing information is improved.

The invention discloses a college scientific research topic selection recommendation system based on an academic literature map and an implementation method. According to the invention, through the interdisciplinary association mining module, academic resources in different disciplinary fields can be deeply integrated, and scientific researchers are helped to discover cross innovation points which are difficult to perceive in a traditional single-disciplinary perspective. By means of abundant entity relation networks in an academic literature map, the system can accurately capture potential association among keywords, technical methods and research requirements of different subjects, guide scientific researchers to find a new research direction from cross-domain cooperation, effectively break subject barriers and push frontier exploration of multidisciplinary fusion. Meanwhile, the research conclusion conflict detection module can sensitively recognize conclusion differences or conflicts for the same scientific problem in existing literatures, a breakthrough entry point is provided for scientific research topic selection, researchers are prevented from repeatedly inputting in the existing consensus field, and the originality and perspectiveness of research are improved.

The invention provides a road traffic network anomaly detection method and device, electronic equipment and a storage medium, and the method is applied to a cloud edge cooperative traffic network system, and comprises an equipment layer, an edge calculation layer and a cloud calculation layer. The method comprises the following steps: acquiring network flow data by using a device layer, and sending the network flow data to an edge computing layer; classifying the network traffic data by using the anomaly detection model downloaded by the edge computing layer, determining normal traffic and abnormal traffic, and sending the abnormal traffic to the cloud computing layer; the anomaly detection model is preset in a cloud computing layer; identifying an attack technology of abnormal traffic by using a deep learning model preset in a cloud computing layer, and combining ATTamp according to the attack technology; the CK framework determines an attack path graph; and determining an attack chain by using the attack path graph, and determining an attack target and an attack source according to the attack path graph and the attack chain. And classification of network traffic data and attack behavior identification are processed in a layered manner through a cloud edge collaborative architecture.

The application provides a heterogeneous fusion computing network resource management and control method and device, relates to the technical field of communication, and adopts a hierarchical game mode for the heterogeneous fusion computing network system with two communication systems of satellite communication and ground communication, adopts non-cooperative game between layers and cooperative game within layers, and the combination of the two game modes can effectively reasonably allocate network resources in the computing network system, and realizes efficient and accurate computing network resource management and control under diversified communication systems.

A method and system for filtering service requests by destination and deadline are described. A network computer system receives provider data corresponding to a specified destination and a deadline from a service provider. The network computer system tracks a current location of the service provider through a device equipped with one or more location-based resources and receives request data corresponding to requests for service from users. The network computer system analyzes the request data for each of the requests for service to identify a subset of the requests that are assignable to the service provider based on whether the service provider is able to fulfill the request and travel to the desired destination before the deadline. The network computer system transmits a message to the service provider's device requesting that the service provider fulfill one of the requests for service from the identified subset.

The invention discloses a task scheduling system and method of a content distribution network, a medium, equipment and a product. The task scheduling system comprises a task storage module used for storing domain name configuration tasks into domain name task queues according to domain names in the domain name configuration tasks, and one domain name task queue is used for storing the domain name configuration tasks corresponding to the same domain name; and the task scheduling module is used for determining a target task queue according to the priority of the domain name corresponding to each domain name task queue, and issuing the target configuration task in the target task queue to the content distribution network system. By setting exclusive task queues of domain names of different users, a basis is provided for reasonable domain name configuration task scheduling of the content distribution network, the fairness of task scheduling of the content distribution network is guaranteed, long-time accumulation of domain name configuration tasks of the content distribution network of individual users is avoided, and the user experience is improved. And certain priority scheduling can be realized based on the priority of each domain name task queue, so that the user experience is further improved.

Techniques are described herein for a Web 3.0-Enabled Cyber-Resilient Data Exchange Platform Leveraging Permission Blockchain, Edge Computing, and Federated Learning Technology, which is configured to enhance the privacy, confidentiality, cyber-resilience, and operational efficiency of multi-system, multi-client, multi-directional data exchanges among client users, devices, servers, cloud environments, and a decentralized web architecture or other applications within one network or a system of networks by deploying edge computing, federated learning models, and permissioned blockchain technology that uses threshold cryptographic primitives and the key primitive of permissioned blockchains called Byzantine fault-tolerant (BFT) protocol, combined with fine-grained access control, pub / sub capabilities and a novel private chaincode functionality during industry-agnostic operations. Techniques, methods, processes, and systems described herein enhance operational efficiency by increasing operational processing speed and reducing operational processing time for industry-agnostic operations within the described industry-agnostic platform.

The present application relates to a kind of electric power information system vulnerability scanning verification intelligent method.The present application is formed by the key technologies such as electric power information network Web system asset identification and vulnerability intelligent detection, and forms the intelligent, non-destructive electric power information network Web system asset identification and vulnerability intelligent detection technology system, comprehensively improves the deep level vulnerability mining of electric power information network Web system and the accurate identification ability of attack, makes the supplement for the research of company network security field in scientific research, technology and equipment etc.Aspects of research.From the angle of attack research, it will promote the research and development of related security technology and product in the field of electric power.

The embodiment of the invention discloses a Web system user operation intelligent auditing method and device, a medium and a program product. The method comprises the steps of obtaining user interface interaction data in response to an operation request of a user on a front-end interface; when the user operation triggers the front-end event, front-end context information is obtained based on the front-end environment where the user operation is located; the method comprises the following steps: when a user operates to trigger a front end to send an HTTP request to a back end, acquiring back-end interaction data and back-end context information based on a plurality of processing stages of the HTTP request; and based on the user interface interaction data, the front-end context information, the rear-end interaction data and the rear-end context information, obtaining an evaluation level of the user operation behavior, and when the evaluation level is greater than a preset security level, obtaining a target security policy and executing a corresponding security measure. According to the method, accurate auditing and dynamic safety protection of user operation behaviors can be realized through full-link data acquisition and comprehensive analysis, and the safety and reliability of a Web system are effectively improved.

Techniques are disclosed for improved energy efficiency of network devices of a network system. For example, a computing system obtains time series data comprising information about computing devices of a computer network. The computing devices access other devices of the computer network via network devices that exchange network traffic of the computing devices. The computing system applies a machine learning system, trained with historical time series data, to the obtained time series data to predict a requirement of one or more of the network devices for exchanging network traffic of the computing devices for a next time interval. The computing system adjusts, based at least in part on the predicted requirement for the next time interval, operation of the one or more of the network devices.

The invention relates to a computing power network construction and coding scheduling method for satellite-ground semantic communication. The computing power network construction and coding scheduling method comprises the following steps: S1, constructing a computing power network consisting of an LEO satellite, a cloud server, edge equipment and terminal equipment; heterogeneous computing, communication and storage resources of nodes in the computing power network are subjected to unified abstraction and modeling; s2, coding a self-adaptive joint information source channel of computing power network node-level channel computing power double perception; the dynamic self-adaptive adjustment of the node-level semantic transmission rate along with the channel condition and the computing power state is realized; and S3, scheduling system-level resources of the computing power network, and realizing distributed and adaptive scheduling and resource collaboration of the system-level semantic tasks in the computing power network. According to the method, channel computing power double-sensing self-adaptive joint information source channel coding is provided, and dynamic self-adaptive adjustment of semantic feature transmission quantity is realized by introducing a double-sensing mechanism of channel state and equipment computing power.

Computer implemented biometric methods and systems incorporate sensing biophysical phenomena, translating the phenomena into digital data and transmitting the data to a series of servers operating in an open feedback loop to generate a module. A biometric networking system can include a biometric monitoring cloud computing platform with AI / machine learning augmented models are generated to make user assessments, programs and confidence scores to the healthcare provider systems. The AI / machine learning models can be used by the biometric monitoring network to generate health-related AI processes that analyze relationships treatment techniques and outcomes. AI techniques can be used to calculate movement modeling and confidence scoring including support vector machines, neural networks, and decision trees. The biophysical phenomena may include biometric parameters based on data, such as medical history, exertion, sleep, temperature, cardiovascular events, respiratory events, and muscle and blood pH.

A computer-based network system and method for using a payment vehicle having an on and off function. The system comprises a payment vehicle comprising an on and off function to enable or to disable the payment vehicle in the computer-based network for processing an electronic payment transaction, a holder of the payment vehicle, and a computer payment network wherein the computer payment network comprises a transaction engine for enabling or for disabling the payment vehicle at a request of the holder of the payment vehicle.

The application discloses a kind of computing power network green space-time task scheduling and mixed energy collaborative optimization method.The steps are as follows: one, establish the computing power network system model of fusing computing resources, network routing resources and mixed energy, construct multi-objective joint optimization problem;Two, model the problem as a Markov decision process, define the state space containing task, network and energy state, and the action space composed of computing power node selection, routing path selection and forwarding time;Three, use the integrated deep reinforcement learning framework, configure multiple intelligent agents with different preference weights for parallel training, to achieve the best balance between quality of service and carbon emissions;Four, according to the integrated strategy of complete training, combined with the real-time input task flow and carbon emission intensity, output the optimal space-time scheduling decision and energy storage charging and discharging strategy.

This invention provides a digital sticky note provision system, a digital sticky note provision method, and a program that can suppress the decline in business productivity. [Solution] A digital sticky note provision system comprising: a sticky note information acquisition unit that acquires sticky note information indicating information about digital sticky notes, including sticky note input information entered by a first user, who is a user of the web system, for digital sticky notes that are superimposed on each screen of the web system; a list information processing unit that outputs sticky note list information showing a list of sticky note input information for digital sticky notes registered on each screen of the web system, based on the sticky note information, so that a second user, who is one of the first users and has administrative privileges, can confirm it; and a sticky note display processing unit that displays digital sticky notes created by the second user based on the sticky note list information as digital sticky notes indicating a guide for the web system on a screen operated by the first user.

The invention relates to the technical field of edge computing network equipment, in particular to a hardware cabinet of an edge computing network system, which comprises a first cabinet body, a second cabinet body slidably connected in the first cabinet body, a hardware mounting position arranged in the second cabinet body, a second through hole formed in the second cabinet body, and a first through hole formed in the first cabinet body and corresponding to the second through hole, a temperature adjusting unit used for adjusting the relative position of the first cabinet body and the second cabinet body according to temperature changes is installed between the first cabinet body and the second cabinet body, and the first cabinet body is provided with a heat conduction piece used for heat transfer between the temperature adjusting unit and the outside of the first cabinet body. The hardware installation position is communicated with the outside of the first cabinet body through the first through hole and the second through hole, when a fire disaster occurs, the first cabinet body and the second cabinet body are matched to form a closed cavity structure which is formed by high-temperature-resistant thermal insulation materials and surrounds the hardware installation position, and the hardware cabinet has the heat dissipation performance and the fireproof performance at the same time.

The application discloses an edge device intelligent sensing method and system based on information freshness, constructs a Markov decision process model by analyzing key factors in the edge device intelligent sensing system. Secondly, the system state is updated in real time through dynamic adjustment of the sensing state, the parameters of the device are adjusted according to the new environmental changes, so that the system can quickly respond in a complex environment. In the aspect of joint optimization, the Lagrange multiplier method is used to jointly optimize the information age and energy consumption, so as to maximize the freshness of information while meeting the energy constraint. Finally, through the deep Q network, the system can continuously optimize the decision strategy through the experience replay mechanism, so that the edge device can minimize the information age under the condition of energy limitation in the changing environment. The application improves the timeliness of the sensing information.

The invention relates to a computer network system, a computer networking method and a computer readable medium. A system is configured to calculate a delay between a first computing device and a second computing device. The system includes a network interface card (NIC) of a first computing device. The NIC includes a set of interfaces configured to receive one or more packets and to transmit the one or more packets. And a processing unit configured to identify information indicative of a forward packet, calculate a delay between the first computing device and the second computing device based on a first time corresponding to the forward packet and a second time corresponding to a reverse packet associated with the forward packet, the second computing device includes a destination of the forward packet and a source of the reverse packet, and outputs information indicative of a delay between the first computing device and the second computing device.