147 results about "Web system" patented technology

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.

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 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 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 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.

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.

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.

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 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 provides a containerized AI micro-service mirror image layer scheduling method and device, and relates to the technical field of containerized AI micro-service deploy.The method includes the steps that an optimized objective function for mirror image layer scheduling is constructed through a target node in an edge cloud network system, a mirror image layer is loaded and modeled into a sequence optimization problem with the high forward sub-modularity, and the sequence optimization problem is solved; and solving the optimization objective function by using a greedy sequence insertion algorithm to obtain a loading sequence of all mirror image layers. On this basis, a task queue of each thread in the thread set is determined in combination with a thread load minimum priority strategy; according to the method, global optimization of the loading sequence of the mirror image layer is realized, and the scheduling strategy can be dynamically adjusted according to the mirror image structure and the node resource state, so that the cold start time delay of the AI micro-service is effectively reduced, the multi-thread resource utilization rate is improved, and the deployment flexibility of the micro-service system is enhanced.

A Holographic Transformer Network (HTN) system and method ingests and enriches semantic knowledge graph (KG) data using a holographic encoder and at least one non-GNN holographic transformer to produce graph node encodings in a node-count-mutable way. The produced node encodings can be used by a downstream network whose architecture is not tied to the static node defined by a particular vignette. The same network can be utilized for decision making even if the number of nodes in the graph (or entities in the simulation) increases.

This makes it easier to create combinations of game objects and easier for third parties to understand. [Solution] A program for assisting in the creation of combinations of game objects that produce an effect in a game, comprising: a storage control means for storing a start group containing one or more game objects and an end group containing one or more game objects in a storage medium; and a display control means for displaying the start group and the end group stored in the storage medium on a display device, wherein a computer functions as a display control means.

The application relates to the technical field of software automatic testing, in particular to a Web system permission function automatic testing method based on Playwright, which comprises the following steps: creating independent browser contexts for multiple test accounts, and starting multiple page instances to load Web system interfaces to be tested in a concurrent mode; identifying clickable elements in the pages, iteratively updating the elements in combination with a local element library, and adopting a multi-mode clicking mechanism combining native clicking, native JS clicking and coordinate clicking to execute operations; monitoring and identifying page pop-up boxes, storing screenshots, and iteratively updating a pop-up box identification library; and summarizing test results to generate a test report. Through the concurrent execution of multiple accounts and multiple interfaces, the dynamic iteration of the element library and the pop-up box library, and the multi-mode clicking guarantee, the efficiency, adaptability, reliability and ease of use of the permission test are significantly improved.

The invention relates to a vertical unauthorized protection method based on an RBAC model, and belongs to the field of data security. The method comprises the following steps: formulating a custom annotation for classes and methods of a WEB system; when the class or the method uses the custom annotation, all interfaces of the class or the interface of the method are associated with a menu specified by the attribute value of the attribute menu; when the user has the authority of any menu in the appointed menus, judging that the user has the authority to access a corresponding interface, otherwise, judging that the user is vertical unauthorized and intercepting; and performing protection verification on vertical unauthorized, judging whether all the menu lists with the authority of the user contain any menu in the menu lists specified in the user-defined annotations or not, and if so, releasing the interface request. According to the method, simplification and generalization of vertical unauthorized protection can be achieved in a user-defined annotation mode, and the development workload and the later maintenance cost are effectively reduced.

A game network system having server interconnection structures and convergence algorithms for homogeneous n-dimensional integral coordinate summary address networks. A multidimensional area is defined with an integral coordinate system. Blocks of space are defined within the area with coordinate summary addresses. The coordinate summary addresses are mapped to server addresses so that different blocks of space can be independently stored on different servers. A tracker is used to coordinate the server to server connectivity. The network will attempt self-assembly as long as it is not in a converged state.

The application discloses a kind of information processing method, device, processor and electronic equipment of terminal equipment.It is to obtain the priority information of fusion network system;In the case where terminal equipment is accessed to ground network system based on priority information and the attribute information of terminal equipment, information interaction is carried out with terminal equipment using ground network configuration information of ground network system;In the case where terminal equipment is accessed to first satellite network system based on priority information and attribute information, if the interaction request of terminal equipment is first target interaction request, information interaction is carried out with terminal equipment using first configuration information of first satellite network system;If the interaction request is second target interaction request, terminal equipment is accessed to second satellite network system, and information interaction is carried out with terminal equipment using second configuration information of second satellite network system and first configuration information.The application solves the technical problem of low information processing efficiency of terminal equipment.

System and method of laser processing a section of web, or “strip” in a “step and repeat” manner while doing so with a continuously moving web during laser processing. The combination of continuous laser processing with a step and repeat manner of cutting parts from the strip, increases throughput for parts. The method includes retracting and indexing a web between passes of continuous laser processing of the web of material and alternating laser processing between two webs in a dual web system further increases throughput results from laser processing.

The invention relates to a full-field information management system based on a photo-thermal field station. The whole-plant information management system based on the photo-thermal field station comprises a whole-plant computer network system which is used for communicating and interconnecting a whole-plant management information system and a whole-plant information monitoring system; the whole-plant information monitoring system is used for collecting operation parameters of photo-thermal power station equipment in real time, analyzing and processing the operation parameters and generating a fault work order; and the whole plant management information system is used for carrying out statistical analysis on the fault work order and generating a preventive maintenance plan. According to the embodiment of the invention, the problem that the photo-thermal power station is difficult to operate and maintain can be solved.

The application discloses a kind of complex dynamic network system fault-tolerant control method, device and storage medium, belong to fault-tolerant control research technical field, its method includes obtaining the measurement output signal and control input signal of each node in complex dynamic network system;The measurement output signal and control input signal are input into the adaptive sliding mode observer designed in advance, generate system state estimation value, and through system state estimation value, drive state estimation error to converge to zero;Based on system state estimation value, through the adaptive fault-tolerant controller designed in advance, solve controller gain matrix, and through controller gain matrix drive system state estimation value and the tracking error of target node state converges to zero.The application is improved further to system performance under the condition that system is stable at present stage, improves the performance of system, and can output correct value under the condition that there is external attack.

The application provides a traffic security method and device, computer equipment and a computer readable storage medium, wherein the method comprises: inputting current traffic into a twice-optimized neural network model to predict the type of the current traffic, wherein the optimized neural network model can extract deep features of the current traffic, and the deep features are used to represent the substantial characteristics of the current traffic; obtaining a security strategy corresponding to the current traffic according to the type of the current traffic; and performing security on the current traffic according to the security strategy. The application can accurately identify illegal traffic and improve the security performance of a network system.

A method and system for creating a dynamic self-learning medical image network system, wherein the method includes receiving, from a first node initial user interaction data pertaining to one or more user interactions with the one or more initially obtained medical images; training a deep learning algorithm based at least in part on the initial user interaction data received from the node; and transmitting an instance of the trained deep learning algorithm to the first node and / or to one or more additional nodes, wherein at each respective node to which the instance of the trained deep learning algorithm is transmitted, the trained deep learning algorithm is applied to respective one or more subsequently obtained medical images in order to obtain a result.

In various examples, as a user is speaking or presenting content during an online video conference, the data stream may be processed to generate a textual representation (e.g., transcript) of the audio and / or information relating to the video. The textual representation and / or video related information may then be processed to determine a context or one or more topic(s) of discussion. Based on the determined context / topic(s), a corresponding neural network(s) may be selected. Once a neural network has been selected, comments may be retrieved from a chat feature of the application and applied to the neural network. The neural network may then output data to indicate the relevance of the comments to the determined discussion topic. Based on the relevance of the comment, the comment may be allowed, prioritized, deleted, de-emphasized, or otherwise filtered in the chat feature.

The invention discloses a graph neural network system based on hierarchical prototype federated learning and a training method, and belongs to the technical field of federated learning. The system comprises a server and a plurality of clients, and hierarchical pooling graph neural networks with the same structure are deployed at all the clients. The method comprises the steps that a server initializes a global hierarchical prototype and distributes the global hierarchical prototype to The client performs local training through minimizing a loss function of fusion cross entropy and a prototype alignment regular term based on local graph data and the received global prototype, calculates a local layered prototype and then uploads the local layered prototype; a server adopts a multi-scale aggregation strategy, local prototypes are aggregated by applying weighted average, robust median and distance weighting methods for shallow, middle and deep layers respectively, and then a global prototype is updated through adaptive optimization and time smoothing processing. Through hierarchical prototype alignment and multi-scale adaptive aggregation, the problem of label heterogeneity in federal map learning is effectively solved, and the generalization ability and convergence speed of the model are remarkably improved while data privacy is protected.

An apparatus in a computer network system extracts network traffic metadata related to a client computing device of a local network. The network traffic metadata is required by a device fingerprinting process. In response to detecting a multicast DNS (mDNS) packet query in the network traffic metadata, the apparatus collects an mDNS hostname related to the client computing device from the mDNS packet query. In response to determining, at a first point in time, that a dynamic host configuration protocol (DHCP) hostname related to the client computing device is unavailable in the network traffic metadata, the apparatus assigns the mDNS hostname to the client computing device.