47 results about "Internet resources" patented technology

In accordance with the present disclosure, one or more computing devices and / or methods are provided. In an example, a query may be received from a client device. In response to the query, a plurality of search results corresponding to a plurality of internet resources associated with the query may be generated. A plurality of content items may be generated based upon the plurality of search results. The plurality of content items may be generated using a plurality of content extraction tools. A language model may be used to generate a plurality of summaries of the plurality of content items. Summary scores of the plurality of summaries may be determined. A first summary may be selected from the plurality of summaries based upon the summary scores. In response to selecting the first summary, the first summary may be provided for display on the client device.

Proposed are a method and an apparatus for providing ordering information by using dynamic information. The method includes receiving a protocol request together with the dynamic information from a user terminal, extracting a ciphertext from the dynamic information, validating an effectiveness of the dynamic information on the basis of the ciphertext, and providing an address information of Internet resource corresponding to the dynamic information to the user terminal when the dynamic information is valid. The apparatus includes a processor, a memory for loading a computer program executed by the processor, and a storage for storing the computer program.

The invention discloses an industrial internet resource autonomous scheduling method based on data element micro-transaction. The method comprises the following steps: acquiring industrial internet resource energy consumption; constructing a comprehensive energy consumption model; associating the model with a real-time power grid carbon factor; the method comprises the following steps: performing parallel transaction on a double-layer market of function resources and carbon quotas, quoting by a resource party based on a comprehensive energy consumption model, performing transaction according to a carbon quota difference by a task party, combining quoted price and carbon transaction cost, solving a multi-objective optimization problem, selecting a comprehensive cost optimal resource, establishing an elastic scheduling contract between the task and the resource, and executing dynamic re-negotiation. According to the actual consumption and carbon emission closed-loop settlement recorded by the contract, the carbon net balance is subjected to token excitation or purchase compensation; according to the method, the environment cost is internalized into a market economic variable, industrial internet resources meet performance requirements, meanwhile, autonomous evolution towards a low-carbon target is achieved, the resource utilization rate is increased, and economic and environmental benefits of a scheduling system are improved.

The invention discloses a management method and system for Internet resources, and relates to the field of data management. The method comprises: receiving resource data indicators and obtaining a resource data indicator matrix; calculating the dynamic entropy weight of each resource indicator based on the matrix; constructing an adaptive entropy weight hybrid optimization algorithm based on the dynamic entropy weight to obtain a resource allocation scheme; performing real-time simulation of the resource allocation scheme through digital twin technology and obtaining simulation results, and optimizing the parameters of the adaptive entropy weight hybrid optimization algorithm based on the simulation results; obtaining the state prediction of Internet resources, and inputting the state prediction into the optimized adaptive entropy weight hybrid optimization algorithm to realize dynamic adjustment of resource allocation strategy. By calculating the dynamic entropy weight of resource data indicators, constructing an adaptive entropy weight hybrid optimization algorithm and generating a resource allocation scheme, and performing real-time simulation and feedback optimization of the allocation scheme through digital twin technology, and combining resource state prediction at the same time, dynamic adjustment of resource allocation is realized.

The invention discloses a dynamic webpage content complete collection system and method based on a browser rendering engine. A CDP controller main module calls a command to start a headless browser process, and a network monitoring module registers a Network. Response Received event monitor; a DOM (Document Object Model) monitoring module starts a Mutation Observer to monitor the change of a DOM (Document Object Model) tree; the interactive simulation module preloads a mouse click and scroll event instruction set; capturing JSON / XML data returned by an interface in real time by using a network monitoring module, intercepting API response data, generating a DOM snapshot by using a DOM monitoring module, and extracting key structure changes; the DOM monitoring module provides a complete rendering HTML, the network monitoring module provides request metadata, and the interactive simulation module provides an operation time sequence log and packages generated complete webpage data into a WARC file. According to the method, document collection is upgraded to application-level interaction, and a technical implementation path is provided for collection scenes of dynamic data-intensive websites (such as financial public opinion monitoring and e-commerce price tracking) in which Internet resources are stored for a long time.

The invention provides a GRE message auditing method, a GRE message auditing device and processing equipment, which are used for providing a set of practical auditing processing scheme and specifically combining user internet behavior management to more effectively perform deep auditing processing on a GRE message, so that the high-quality auditing requirement of an enterprise on the GRE message can be met, and the auditing efficiency of the GRE message is improved. And stable and reliable network security protection is provided. The method comprises the following steps: acquiring a GRE message to be audited; if the to-be-audited GRE message is a data message, stripping a header field packaged under a GRE protocol from the to-be-audited GRE message, continuing to perform recalculation based on the length of the stripped message, and processing a target message containing new quintuple information; performing user internet behavior management on a user corresponding to the target message; under the condition that the user online behavior management releases the target message, on one hand, the traffic statistical information is updated for the user corresponding to the target message, and on the other hand, the auditing condition involved in the access of the target message to the Internet resource is processed.

We provide the system. [Solution] A means of acquiring information that periodically collects data from internet sources, A scoring method that uses a machine learning model to score the reliability of the collected data, A filtering method for filtering out data whose score falls below a threshold, Information provision means that stores data exceeding a threshold and provides it to a communication terminal device upon request, A data processing means that, based on user requests, quickly searches for highly reliable information and provides it in a visually displayable format, A system that includes this.

Various techniques for providing a DNS automated intelligence solution are disclosed. In some embodiments, a DNS Automated Intelligence System (DAISy) is disclosed that includes a system designed to create threat intelligence for use in protective DNS, or DNS Detection and Response systems which control access to internet resources at a DNS resolver. The disclosed DAISy solution includes the ingestion of raw source data, the curation and refinement of this source data into specialized data sets used for identifying threats, active processes to increase visibility into internet domain names, and can also include human-in-the-loop acceleration that allows for rapid automation, and a modular incorporation of DNS-specific signatures for identification of suspicious domain names. The disclosed DAISy solution is self-sustaining, automated, and incorporates human guidance. Moreover, it is effective for scaling the detection of malicious and suspicious domains, which is not possible with existing traditional approaches to DNS security.

In accordance with the present disclosure, one or more computing devices and / or methods are provided. In an example, a query may be received from a client device. In response to the query, a set of search results corresponding to a set of internet resources associated with the query may be generated. The set of search results may include a first search result corresponding to a first internet resource of the set of internet resources. A first popularity score associated with a first search result of the set of search results may be determined based upon one or more first user engagement metrics associated with the first internet resource. A search interface may be displayed on the client device. The search interface may include a first representation of the first search result and a first graphical popularity indicator indicative of the first popularity score.

The invention discloses an internet resource long-term storage management and storage system, which comprises a space-time coding layer which is based on an FPGA (Field Programmable Gate Array) main control chip, comprises a parallelized tensor processing unit and is used for converting digital resources and metadata and context relationships thereof into a space-time coding body with a time self-description capability; the storage unit is used for receiving the space-time coding body from the space-time coding layer and permanently solidifying the space-time coding body in a tamper-resistant physical form; and the four-dimensional continuation control layer is used for dynamically managing the integrity, readability and authenticity of resources in the whole life cycle through an autonomous evolution algorithm and a distributed verification network. Through collaborative innovation of a space-time coding body (an information layer), a holographic cold memory (a physical layer) and a continuation control network (a management and control layer), the basic challenges of long-term storage of Internet resources in the aspects of authenticity, integrity, availability, safety, cost, technical dependence and the like are systematically handled.

A system is provided.SOLUTION: This system includes a means for automatically collecting customer information from an information source on the Internet, a means for analyzing the collected customer information and grasping the business environment and market trend of a customer company, a means for specifying the proposal need of the customer on the basis of an analysis result, a means for automatically generating a proposal material corresponding to the specified proposal need, and a means for transmitting the generated proposal material to a user terminal.SELECTED DRAWING: Figure 1

The present invention provides an abnormal handling method, device and computer equipment for an Internet service platform. The method includes: obtaining public opinion information from the Internet, performing text processing on the public opinion information to identify abnormal public opinion information related to the Internet service platform; obtaining service log data of the Internet service platform, identifying abnormal events of abnormal personnel to obtain abnormal event information; performing abnormal matching on the abnormal public opinion information and the abnormal event information, and performing abnormal evaluation and abnormal positioning according to the matching result, and accordingly performing abnormal handling operations according to a predetermined abnormal handling strategy. The present invention can perform abnormal monitoring and analysis from two perspectives of external network situation awareness and internal network security, can quickly identify potential data leakage abnormalities, basic security abnormalities, etc., can significantly improve the agility, accuracy and intelligence of platform abnormal identification, and effectively ensure the data security of data related to Internet resource services.

The present invention relates to the technical field of chip automated testing, and provides a switch matrix testing system and method based on the linear vectorization of interconnection resources. The system includes a netlist line search script module, a bitstream generation module, and a switch matrix testing module. The netlist line search script module includes a parameter file set, a netlist framework construction service, and an automatic line search service. The netlist line search script module is used to construct an initial netlist according to the parameter file set by using the netlist framework construction service, and perform an automatic line search operation on the initial netlist according to the parameter file set by using the automatic line search service to obtain a layout change netlist. The bitstream generation module is used to convert the layout change netlist into a bitstream. The switch matrix testing module is used to perform a switch matrix test on the bitstream to obtain a test result. The present invention can improve the efficiency of interconnection resource testing and the efficiency of failure location.

The invention discloses a resource sharing method based on an internet education platform, and relates to the technical field of internet resources, and the method comprises the steps: obtaining learning effect feedback data in response to the learning operation of a target resource completed by a learner, the learning effect feedback data at least comprises the learning duration of the target resource, the exercise answering correct rate or the video repeated watching frequency; according to the ratio of the learning duration to the preset reference duration of the target resource, the input degree data is generated, when the ratio meets the first preset condition, the core fragment in the target resource is marked, the method for accurately adapting the resource in combination with learning feedback solves the problem that platform resource pushing is not matched with the demand, and the user experience is improved. The learner can efficiently obtain useful contents in different scenes, and the knowledge mastering efficiency is improved.

The invention discloses a book recommendation method fusing existing user borrowing behaviors of a library and Internet resources. According to the method, book quality evaluation indexes comprehensively consider the following four factors: influence weights of readers on book types, return timeliness, borrowing group breadth and Hubamp; an Authority method is used for comprehensively measuring the quality of the books; the implementation process of the recommended purchase method comprises the following steps: firstly, collecting all recommended purchase requests to be processed from a library database, and constructing an initial recommended purchase list; thirdly, screening first three books which are most similar to the books in the list through cosine similarity, and extracting borrowing data of the first three books; thirdly, combining the borrowing records with comments of read users on the social media, and performing multi-modal sentiment analysis to obtain sentiment scores; then, integrating the emotion score with the book special information by using a random forest model to form a comprehensive score; and finally, optimizing recommended purchase list sorting according to the comprehensive score, and determining a final book purchase priority.

Presented are apparatus, systems and methods for more secure online interactions from computing devices, including protections of sensitive identity, personal, employer, membership, financial and payments information; from the increasing waves of hacking, and relentless bombardment of phishing attacks; with ever more sophisticated social-engineering, which are increasingly indistinguishable from interactions with a genuine online connection. In one example, the computing device can store a data structure in a first application, the data structure comprising a set of sensitive-attribute data, and an identification of a plurality of predefined or otherwise known hosts, from a list of known remote hosts. The computing-device / local-host can execute a second application to locally render a remote internet resource, such as a web page, which may additionally request the input of one or more sensitive-attribute data entry fields. Responsive to receiving a uniform resource identifier (URI) (from an eMail, Text, scanned QR code, Hyperlink, Browser App or other), the computing device executes a first application to identify and analyze the URI, generate a plurality of first features comprising an identity of a remote host of the web-site page, compare the identity of the remote host to the identification of the plurality of known remote hosts, execute a heuristic algorithm or machine learning model, on the local host, to generate a source and content risk-score, of the remote host and the web page it conveys. The execution therebefore described can thus aid the computing device to more intelligently decide to: permit, restrict, or modify data generation methods in an auto-population entry of the one or more sensitive-attribute data entry fields, including but not limited to: selecting a payment information generation method for such data fields, based on risk analysis of said uniform resource identifier. This embodiment of the present disclosure can improve the ability of said computing device and said device user to more-immediately and objectively: identify, avoid, or manage; phishing and hacking attacks, versus those from legitimate or reputationally-sound remote hosts.

This invention relates to a dynamic cabin resource orchestration system for aviation internet based on traffic-experience coupling, belonging to the field of aviation internet resource scheduling technology. The system includes: a data acquisition and association module, which collects real-time traffic, session status, and passenger identity, seat, and policy group information of device IPs, dynamically binds them, and forms real-time operational data; a multi-dimensional experience evaluation module, which receives this data and calculates a network experience index for IP sessions using a preset evaluation model, comprehensively evaluating connection quality, bandwidth sufficiency, and service compatibility, and classifying experience levels accordingly; a dynamic policy decision-making and generation module, which dynamically generates resource orchestration instructions from a pre-set policy library based on the experience level, combined with global load and flight phase; and a policy execution and feedback module, responsible for issuing and executing instructions and collecting new data to feed back to the front end, forming a closed loop. This system achieves intelligent, dynamic, and on-demand allocation of cabin network resources, improving the passenger internet experience.

Provided are a method and a server for providing dynamic information for non-face-to-face ordering. A method for providing dynamic information for non-face-to-face ordering, according to an embodiment of the present invention, may be performed by a server, and comprise the steps of: transmitting a first update request for updating dynamic information of a first terminal in a first update period; checking update state information of the first terminal; receiving the dynamic information of the first terminal from a user terminal and performing validity verification on the dynamic information; and providing Internet resource address information corresponding to the dynamic information to the user terminal when the dynamic information is valid as a result of the validity verification.

A suspicious Uniform Resource Locator (URL) of a resource on the public Internet is detected by searching a part of the URL for a candidate substring, which is the longest possible substring that is in accordance with a Base64 encoding scheme. The candidate substring is converted to a candidate binary data in accordance with the Base64 encoding scheme. The candidate binary data is then converted to a candidate American Standard Code for Information Interchange (ASCII) string. The candidate ASCII string is evaluated to determine the information type of the candidate ASCII string. A determination as to whether the URL is suspicious is based at least on the information type of the candidate ASCII string.

Presented are apparatus, systems and methods for more secure online interactions from computing devices, including protections of sensitive identity, personal, employer, membership, financial and payments information; from the increasing waves of hacking, and relentless bombardment of phishing attacks; with ever more sophisticated social-engineering, which are increasingly indistinguishable from interactions with a genuine online connection.In one example, the computing device can store a data structure in a first application, the data structure comprising a set of sensitive-attribute data, and an identification of a plurality of predefined or otherwise known hosts, from a list of known remote hosts. The computing-device / local-host can execute a second application to locally render a remote internet resource, such as a web page, which may additionally request the input of one or more sensitive-attribute data entry fields.Responsive to receiving a uniform resource identifier (URI) (from an eMail, Text, scanned QR code, Hyperlink, Browser App or other), the computing device executes a first application to identify and analyze the URI, generate a plurality of first features comprising an identity of a remote host of the web-site page, compare the identity of the remote host to the identification of the plurality of known remote hosts, execute a heuristic algorithm or machine learning model, on the local host, to generate a source and content risk-score, of the remote host and the web page it conveys. The execution therebefore described can thus aid the computing device to more intelligently decide to: permit, restrict, or modify data generation methods in an auto-population entry of the one or more sensitive-attribute data entry fields, including but not limited to: selecting a payment information generation method for such data fields, based on risk analysis of said uniform resource identifier. This embodiment of the present disclosure can improve the ability of said computing device and said device user to more-immediately and objectively: identify, avoid, or manage; phishing and hacking attacks, versus those from legitimate or reputationally-sound remote hosts.

A method and a device for providing order information by using a dynamic QR code are provided. The method by which a computing device provides order information by using a dynamic QR code, according to one embodiment of the present invention, comprises the steps of: acquiring a one-time password from a first URL in response to a protocol request from a user terminal; verifying the validity of the one-time password; and providing Internet resource address information corresponding to the one-time password to the user terminal on the basis of the one-time password if the one-time password is valid, wherein the user terminal can acquire the first URL by recognizing a QR code displayed on a QR code terminal, transmit the protocol request to a location designated by the first URL, and access order information by using the Internet resource address information provided in response to the protocol request.

A method and apparatus for providing order information using a dynamic QR code are provided. An order information provision method using a dynamic QR code according to one embodiment of the present invention is executed by a computing device and includes the steps of obtaining a one-time password from a first URL in response to a protocol request from a user terminal, verifying the validity of the one-time password, and, if the one-time password is valid, providing the user terminal with corresponding internet resource address information based on the one-time password. The user terminal can recognize the QR code displayed on the QR code terminal to obtain the first URL, send the protocol request to the location specified by the first URL, and access the order information using the internet resource address information provided in response to the protocol request.

This invention discloses a method and system for internet resource scheduling, belonging to the field of network resource allocation technology. The method aims to solve the problems in existing technologies that cannot distinguish between genuine business growth and abnormal pseudo-load, identify distorted monitoring values, and detect hidden sluggish conditions. Its technical solution includes: acquiring full-path observation records of the business flow; performing loop behavior identification based on the observation records to generate an abnormal loop judgment result; performing credibility reduction based on the observation records and the abnormal loop judgment result to generate a credibility-corrected node load result; performing release process imbalance tracking based on the observation records and the corrected node load result to generate an abnormal sluggishness judgment result; and generating hierarchical scheduling instructions and executing corresponding resource scheduling actions based on the abnormal loop judgment result, the credibility-corrected node load, and the abnormal sluggishness judgment result. This invention has the advantages of improving scheduling accuracy, increasing resource utilization, and ensuring the quality of genuine business services.

Systems and methods for generating login passwords for personal computer applications, comprising: providing a personal computer utility; providing a Universal Serial Bus dongle for generating pseudorandom strings from characters via a pseudorandom character generator to be used as passwords; retrieving an initial index value by identifying a URL of an Internet resource that requests a password from a non-volatile index table of the personal computer utility; sending the initial index value and an initial password request from the personal computer utility to the Universal Serial Bus dongle; retrieving an initial seed value from a non-volatile seed table using the initial index value received by the personal computer utility; and generating an initial pseudorandom number password via a pseudorandom character generator using the initial seed value.

The invention provides a water surface cleaning unmanned ship garbage recognition algorithm based on deep learning, and the algorithm comprises the following steps: firstly, building a sample set through real scene collection, an open source data set and Internet resources, and carrying out the data preprocessing and data enhancement; secondly, optimizing the size of the anchor frame by adopting a K-means clustering algorithm; thirdly, a YOLOv5 network model is improved, the backbone network is replaced with the OfficientNetv2, and an ECA attention mechanism and an auxiliary training head are introduced; then, carrying out model training by adopting an EIoU loss function; and finally, evaluating the performance of the model through indexes such as the accuracy, the recall rate and the average precision mean value. According to the algorithm, the detection precision and speed are remarkably improved, the environmental adaptability is enhanced, calculation resource consumption is reduced through lightweight design, the algorithm is suitable for low-calculation-power mobile terminal equipment, and the problems of insufficient precision, low speed, poor environmental adaptability and the like in water surface garbage detection are effectively solved.

The present invention relates to a satellite Internet resource scheduling method based on deep reinforcement learning, aiming at the problem that unstable links in the SGIN environment are likely to cause an increase in the AoI of VNF backups, making it difficult to ensure rapid recovery when a VNF fails. A VNF state transition and fault recovery model is established for the problem of increased AoI of VNF backups caused by unstable links, and an AoI-aware VNF backup model is established to adjust bandwidth resources to optimize AoI. To solve the problem that the relative movement between network nodes causes the VNF backup to move away from the original VNF, a VNF backup migration mechanism is introduced. To make an adaptive optimization strategy for services with different delay sensitivities, a delay-sensitive factor is introduced as a weight, an optimization problem is established with the goal of maximizing the VNF backup revenue, and the problem is solved. The simulation results show that the proposed scheme can reduce the interruption delay of VNFs with serious failures while reasonably utilizing network resources.

A method and a device for providing order information by using a dynamic QR code are provided. The method by which a computing device provides order information by using a dynamic QR code, according to one embodiment of the present invention, comprises the steps of: acquiring a one-time password from a first URL in response to a protocol request from a user terminal; verifying the validity of the one-time password; and providing Internet resource address information corresponding to the one-time password to the user terminal on the basis of the one-time password if the one-time password is valid, wherein the user terminal can acquire the first URL by recognizing a QR code displayed on a QR code terminal, transmit the protocol request to a location designated by the first URL, and access order information by using the Internet resource address information provided in response to the protocol request.

The present invention relates to a method by which a server provides order information by using time stamp-based dynamic information, wherein the method comprises the steps of: (a) receiving dynamic information from a user terminal; (b) extracting a time stamp of the dynamic information by decoding the received dynamic information with a secret key corresponding to the dynamic information; (c) verifying the validity of the dynamic information by comparing the time stamp with time information of the server; and (d) providing Internet resource address information corresponding to the dynamic information to the user terminal if the dynamic information is valid.

The application relates to the field of supercomputer internet resource description and query, and provides a supercomputer internet resource description and query method based on post-processing, which comprises the following steps: obtaining an initial query result according to a query question and a resource description context; re-querying the resource description context for the obtained initial query result, and classifying the initial query result into 'correct information','semi-correct information' and 'wrong information'; correcting the'semi-correct information' by re-querying the resource description context; and finally combining the 'correct information' and the modified'semi-correct information' to obtain a final query result. The method can effectively improve the accuracy of resource description and query.

The invention belongs to the field of knowledge management, and particularly relates to a large comprehensive construction enterprise knowledge management platform, which comprises a network information collection module used for acquiring internet resources for website maintenance personnel and managing and maintaining website content settings; the external knowledge integration module is used for carrying out manual indexing on a work classification system such as periodicals and literatures to realize unified management; the expert think tank module is used for providing multi-channel and multi-level specific business and academic research expert information query service, and can communicate and consult with experts; the internal knowledge management module is used for integrating various knowledge resources and outsourcing resources in the enterprise, establishing a business process of knowledge resource collection, processing indexing and submitting, and realizing sustainable updating of the knowledge resources; and the online learning and training module is used for providing autonomous learning of various courses for different stages of the employees and enabling the employees to participate in learning and training in an enterprise.