88 results about "Web system" patented technology

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 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.

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.

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.

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 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.

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.

The invention discloses an intelligent calculation job submission management method based on a mobile terminal, a Web system is deployed based on an open source Open OnDemanand platform, and the Web system is packaged into a mobile terminal APP to realize visual one-stop management of an HPC platform, and the method specifically comprises the following steps: S1, session establishment and authentication: the mobile terminal APP initiates a connection request to a Web service gateway deployed at the front end of an HPC cluster; according to the method, traditional Linux command line operation is replaced through graphical interaction and template design of the mobile terminal, the technical threshold is greatly reduced, and non-computer professional scientific researchers can also conveniently complete operation management; and meanwhile, by means of real-time monitoring, instant response and whole-process mobile coverage of the mobile terminal, the constraint of a fixed desktop environment is eliminated, so that a user can grasp the operation state in real time and quickly process an abnormal task in any scene, and the flexibility and efficiency of intelligent calculation operation management are remarkably improved.

The invention relates to social networks, and more specifically to the use of data contained in a social network to target elements to a user of the social network system based on a predicted life event associated with the user. In a system and computer-implemented method of informing social network users about events in the life cycle of target users through computer software, which includes entering into such software data about the target user and any selected events in their life, as well as data about a set of users connected via a computer network with this target user, performing data calculations, determining, predicting, and informing about the occurrence of a target user's life event date, according to the invention, the life cycle of the target user is divided into intervals in the form of time units, the date of a life event is determined in a selected combination of any time units, and the informing about a life event is carried out in the time dimension relative to a life event that has occurred or is to occur, by displaying on the screen a message in the selected time units.

The invention designs an AI agent cooperative operation method and a distributed network system thereof, and the method comprises the steps: obtaining parameter data of a corresponding environment state based on a business scene, and writing the environment state into a block chain system through an oracle machine; a reinforcement learning agent independently runs on each computing node of the block chain system, and the decision strategy learning and updating process of the agent is used as the workload proof calculation of the block chain; creating a new block after the workload proof calculation is completed, calculating a hash value of the new block, and connecting the new block with the previous block through the hash value to form a chain structure; and synchronizing the new block to other computing nodes by adopting a consensus mechanism based on reinforcement learning rewards, and determining a final consistent block chain among distributed nodes. Compared with the prior art, deep fusion of the block chain and artificial intelligence is realized, and the training and reasoning efficiency, the operation effectiveness and the target achievement rate are remarkably improved by embedding the calculation task of the AI agent into the consensus process of the block chain.

The application provides an edge network resource allocation method and device, computer equipment and a medium, comprising: obtaining a user's computing request; based on the computing request, mapping the computing request to an identification space to obtain an identification space mapping model, the identification space mapping model being used to represent the mapping of the user and server relationship; based on the identification space mapping model, calculating the energy cost and time cost of a computing task corresponding to the computing request to construct a multi-objective optimization model; based on the identification space mapping model and the multi-objective optimization model, determining an optimal allocation strategy for the computing task. By constructing a system model of identification space mapping, the computing task of the edge network system is mapped to the identification space to obtain an optimization model of the energy cost and time cost of the edge network system, the optimization model is used to adjust and optimize the resource arrangement strategy, and the resource allocation strategy with the minimum energy cost and time cost is obtained, thereby ensuring the reliability and network performance of the edge network system.

A computer-based social networking system for connecting multi-party buildings to enable transparent and secure communication between user groups based on a combination of verified roles and ownership and / or company identification, with the aim of reducing risks for property owners and investors and improving cost efficiency and return on investment (ROI), the system comprising the following: • A verification module checks user roles and their affiliation with a property and / or company by requesting documents such as utility bills, tax assessments or company documents, thereby ensuring the security and confidentiality of communication within the respective group; • a categorization module configured to assign each user a category based on a verified property or the identity and affiliation of a society, and to assign a subcategory based on the user's role in the society; • a user interface module configured to display user profiles and interactions, providing complete transparency and openness of communication while maintaining personal privacy by displaying only the first name and a company or property name or other identity, without contact details; • a communication module configured to assign communication rights and restrictions to each user based on their category and subcategory, thus ensuring confidential communication within user groups; • a role-based interaction engine configured to allow users to interact within their own subcategories and, if permitted, across subcategories, either limited to two companies or across all registered ownership companies; • A data aggregation module configured to collect industry data related to condominium owners' problems, including advice from other property owners, data on service providers, the services they provide, customer satisfaction scores based on complaints, provider responses, problem resolutions, and service prices, and stores this data in a database for future analysis and use.

Systems and methods for applying decorations onto substrates. Decorations can be transported on a web along the web path to an application station at which the decorations are applied to substrates. Movement of substrates and / or the web through the application station can be controlled to effect transfer of a decoration to a substrate. An attachment between the decoration and web can be disrupted, e.g., to reduce an attachment of the decoration to the web. Such disruption may make transfer of a decoration from the web to a substrate easier, without damaging the decoration and / or enable transfer to non-cylindrical substrates.

The invention relates to the technical field of information security, in particular to a chaos-based script code protection method and device, a computer readable storage medium and computer equipment, and the method comprises the following steps: S1, performing flow segmentation and simulation on a protected script: giving a web front-end script, and firstly performing abstract syntax tree level analysis on the web front-end script; according to the method, the PWLCM chaotic mapping is introduced, so that the context relation, which is easy to reverse, of the script code is successfully disorganized in a static state and conditionally submitted to a plurality of index sequences to be controlled; an attacker cannot correctly analyze correct sources and directions of parameters and return values associated with key system calling in protected script codes only by off-line analysis in a static state, an introspection integrity self-checking logic is embedded in each sub-process, and encryption protection is performed on communication between the front end and the rear end of a web system. Therefore, the protected script can actively resist reverse analysis and protect the security of end-to-end data.

The application belongs to the technical field of artificial intelligence and food safety information, and discloses a question and answer system of a meat product whole-chain safety knowledge graph based on deep learning, which is composed of a knowledge graph construction module and a system question and answer module; wherein the knowledge graph construction module comprises a data acquisition unit, a data processing unit, an entity recognition unit, a relationship extraction unit, a critical control point selection unit and a knowledge graph construction unit; the system question and answer module comprises a user question analysis unit, a query statement generation unit, a standard answer generation unit and an intelligent question and answer Web system construction unit. The question and answer system of the meat product whole-chain safety knowledge graph based on deep learning is adopted, a more easy-to-use and more intelligent natural language question and answer system is developed by constructing the meat product whole-chain safety knowledge graph, and finally the professional, scattered and complex meat product safety knowledge is efficiently, accurately and friendly provided to the end users.

A vehicle network system (100) includes a management control device (10) having a function of changing cluster information of control devices (14-19). Therefore, it is possible to flexibly cope with addition or change of activation conditions of the control devices. Also, the control devices are configured to determine whether the cluster information changed by the management control device is appropriate, and change their own activation conditions in a case where it is determined that the cluster information is inappropriate.

The embodiment of the invention provides a data edge access method and system, a computing device and a storage medium, the data edge access method comprises the edge computing device applied to a virtual power plant system, the virtual power plant system comprises a sensing device, the edge computing device and a cloud server, and the method comprises the following steps: performing credibility detection on the sensing device based on a data transmission request of the sensing device; when it is determined that the sensing device is a trusted device based on the credibility detection, establishing a secure data channel for data transmission, and transmitting the data to a cloud server through the secure data channel; wherein it is determined that the sensing device is the trusted device, and the sensing device has the following conditions: the identity is trusted, and the edge computing network system accessed by the sensing device has integrity. Through the method, the security and reliability of data transmission in the virtual power plant system can be effectively ensured, unauthorized equipment is prevented from accessing the system or malicious data is prevented from being transmitted, and the security performance of the whole virtual power plant system is improved.

The invention belongs to the technical field of network security. The invention belongs to the technical field of network flow analysis, and particularly discloses a logic vulnerability detection method, system and device for network flow analysis and a medium. Service request response data are captured through network flow, non-request data or static resource data are filtered out by setting a filtering rule, the filtered data are analyzed, and the analyzed data are standardized into structured requests. By automatically identifying API semantics, constructing an API calling chain, a state conversion chain and a data dependence propagation chain, establishing cross-interface automatic identification of data flow and control flow, improving the web system logic vulnerability mining efficiency and coverage, and adding an active alarm function for finding vulnerabilities, the vulnerabilities can be found and solved in time; the method has the advantages that lightweight deployment and low-invasion operation are achieved, an API semantic and state model is automatically constructed, the vulnerability mining intelligent level is improved, the false alarm rate is reduced, and a closed-loop mechanism for discovery, verification and alarm is achieved.

The present application relates to the field of artificial intelligence and computer science, in particular to a computing power matching and marketing content distribution method and system based on a graph neural network.The method of the present application comprises: obtaining real-time state data of each edge node in a content distribution network system, feature data of each marketing content to be distributed, and feature data of each user terminal; constructing a heterogeneous graph with the edge nodes, marketing contents and user terminals as nodes, and computing power relationships, content matching relationships and historical distribution relationships as edges; iteratively aggregating and updating the heterogeneous graph through a graph neural network to generate a computing power resource representation vector for each edge node and a resource demand representation vector for each marketing content; generating a computing power-content matching matrix based on the similarity between the computing power resource representation vector and the resource demand representation vector; and distributing the marketing content to the corresponding edge node according to the computing power-content matching matrix.The present application improves the overall utilization rate of computing power resources.