181 results about "Filtering rules" patented technology

The invention belongs to the technical field of natural language processing and knowledge engineering, and discloses a method, a system, equipment and a medium for automatically constructing a multi-field scientific knowledge base, and the method comprises the following steps: based on an input identifier list or a field search word, retrieving a full text of a literature, analyzing and converting the full text into a structured text; combining a pre-configured large language model with a field cue word, extracting key information in the structured text, and outputting structured data; the automatic script filters irrelevant, repeated or incomplete structured data according to a pre-configured filtering rule; performing standardization processing on the filtered structured data so as to realize the consistency and comparability of the data; and inserting the standardized structured data into an interactive knowledge base or database, establishing data association, and verifying association logic. The method supports cross-field rapid adaptation, solves the problems of low efficiency and high error rate of a traditional method, and can be widely applied to the fields of biomedicine, material science, synthetic biology and the like.

The invention provides a retrieval method and device based on graph structure retrieval enhancement, electronic equipment and a storage medium, and the method comprises the steps: obtaining original data, screening the original data based on a preset screening rule to obtain a plurality of candidate phrases, calculating the similarity between the plurality of candidate phrases and a preset central semantic vector of each layer, the multiple candidate phrases are layered according to the similarity, feature vectors are constructed, levels and feature vectors corresponding to the multiple candidate phrases are obtained, graph entities are obtained based on the candidate phrases, context fragments of the graph entities in original data are extracted, and relation types between the graph entities are obtained based on the context fragments; according to the relationship type between the graph entities and the hierarchy of the graph entities, a multi-hierarchy knowledge graph is obtained, and retrieval is performed based on the multi-hierarchy knowledge graph and the corresponding associated information block, so that the technical problems of result redundancy and logic fracture of a retrieval enhancement generation method are solved through the method.

The invention discloses an unpowered device binding and positioning method and system based on the passive Internet of Things, and the method comprises the steps: receiving device identification information broadcasted by a plurality of passive tags through a positioning gateway installed on a tractor, and enabling the passive tags to be fixed to a dragged unpowered device; processing the equipment identification information based on a preset electromagnetic signal filtering rule, and generating a bound equipment list; generating a marshalling sequence list according to the signal intensity data of each passive tag in the binding equipment list; acquiring real-time position data of the tractor, wherein the real-time position data comprises latitude and longitude and azimuth angles; according to the marshalling sequence list, pre-stored equipment physical length data and the real-time position data, absolute position coordinates of all the unpowered equipment are solved through a space relation model. The technical problems of poor safety, high cost and insufficient marshalling positioning precision caused by dependence on battery power supply in the prior art are solved.

According to the intelligent terminal equipment intelligent adaptation method and device, intelligent terminal automatic discovery is carried out based on scene-based adaptive ARP scanning and multi-fingerprint UPnP filtering, access equipment is obtained, automatic and precise discovery of intelligent terminal equipment is achieved, and the intelligent terminal equipment can be automatically and accurately found by standardizing the scanning frequency and the filtering rule. The equipment discovery efficiency and accuracy are improved, the access equipment is subjected to prefabricated API library matching and AI reverse analysis to obtain interface information of the access equipment, automatic analysis of a standard interface and a private interface is realized based on a multi-dimensional analysis technology of an AI large language model, and the equipment discovery efficiency and accuracy are improved by utilizing the AI large language model and combining a built-in multi-language programming template. According to the method, the adaptive code matched with the interface information is automatically compiled, the adaptive code is automatically generated based on the AI technology, the compatibility of multi-protocol and multi-interface type equipment is supported, and finally the core problems of low efficiency, poor compatibility, difficult maintenance and high threshold in the existing intelligent terminal adaptation process are solved.

Provided are a data filtering method and apparatus for a generative artificial intelligence model, a device, and a medium. The method comprises: determining a time point for filtering data of a generative artificial intelligence model; when the time point is reached, constructing a first knowledge graph on the basis of the data; querying the first knowledge graph in a second knowledge graph, wherein the second knowledge graph comprises a third knowledge graph constructed on the basis of valid data and a fourth knowledge graph constructed on the basis of invalid data; and filtering the data on the basis of the query result and a filtering rule, wherein the filtering rule is related to the third knowledge graph and / or the fourth knowledge graph. On the basis of knowledge graphs, data of a generative artificial intelligence model can be accurately filtered. In addition, the data is filtered in pre-training and model fine-tuning stages, preventing in advance the model from generating invalid data. The data is filtered in a model output stage, improving the security of the data.

The embodiment of the invention provides an unknown cross-site script security detection method and device generated based on a test script, and intelligent construction of the test script is realized through innovatively constructing a script generation mechanism driven by a Markov chain and through atomic element sequence analysis and a random walk strategy. And designing a DOM tree difference-based filtering analysis mechanism, and establishing a filtering rule identification strategy in combination with multi-dimensional mark extraction and node positioning. And a matrix iterative optimization mechanism is introduced, and self-adaptive optimization of the test script is realized through dynamic updating and convergence calculation of a state transition matrix. According to the method, the defects of the traditional technology in the aspects of script generation, filtering analysis, optimization adjustment and the like are effectively overcome, and the unknown cross-site script detection effect is remarkably improved.

The invention discloses a data processing method and device, electronic equipment and a medium, and relates to the technical field of data processing. The method comprises the following steps: acquiring vehicle data, and loading a data filtering rule in a database to a cache; under the condition that it is determined that the data filtering rules in the database are updated, a weight coefficient corresponding to each updated data filtering rule is determined based on a preset configuration file, and the preset configuration file comprises a plurality of data filtering rules and the weight coefficient corresponding to each data filtering rule; determining a target weight coefficient based on the weight coefficient corresponding to each updated data filtering rule; and updating a data filtering rule in the cache based on the target weight coefficient, and carrying out data filtering operation on the vehicle data according to the data filtering rule in the cache. Therefore, the reading and writing times of the database can be remarkably reduced, the consistency of the cache data and the database data can be effectively kept, data processing delay and message blocking are avoided to a certain extent, and the stability of a service system is improved.

The invention discloses a file system event processing method and device based on an intelligent filtering rule, and the method comprises the steps: obtaining a file system original event of a monitoring directory, carrying out the cross-platform standardization processing, and extracting event feature vectors of four dimensions: time, a file, a process and a path; the method comprises the following steps: constructing a rule base containing software operation modes such as an editor, a compiler and a version control tool, performing mode matching on an event sequence, calculating confidence, determining a filtering strategy type based on a matching result, executing corresponding processing, and dynamically optimizing system parameters through statistical analysis. The technical problems that an existing file monitoring system is serious in event redundancy and frequent in false triggering are solved, effective file operation and temporary intermediate operation can be intelligently distinguished, invalid synchronous triggering is greatly reduced, the accuracy is improved to 95% or above from 60-70% of a traditional scheme, and invalid event processing is reduced by 90% or above.

The invention relates to a 5G signaling plane traffic screening method based on a multi-core processing unit, and the method comprises the steps: receiving network mirror image traffic through a physical interface unit, and screening out transmission control protocol traffic; the switching chip unit identifies HTTP / 2 protocol traffic from transmission control protocol traffic according to a target port number or an application layer protocol handshake feature, and forwards the HTTP / 2 protocol traffic to the multi-core processing unit; the binary framing structure of the HTTP / 2 protocol is analyzed, a data frame and a control frame are distinguished, and an HTTP request head is restored; analyzing and decoding an HTTP request header, and extracting a pseudo header field of a uniform resource identifier path in the HTTP request header; generating a traffic filtering rule corresponding to the service signaling traffic bearing the specific network function; and issuing the generated flow filtering rule to a switching chip unit, and outputting specified 5G signaling plane flow. The method automatically adapts to the dynamic change of the 5G network element, and effectively solves the problem of traffic loss or inaccuracy caused by difficult maintenance and untimely updating of the static work parameter data.

A packet-filtering system configured to filter packets in accordance with packet-filtering rules may receive data indicating network-threat indicators and may configure the packet-filtering rules to cause the packet-filtering system to identify packets comprising unencrypted data, and packets comprising encrypted data. A portion of the unencrypted data may correspond to one or more of the network-threat indicators, and the packet-filtering rules may be configured to cause the packet-filtering system to determine, based on the portion of the unencrypted data, that the packets comprising encrypted data correspond to the one or more network-threat indicators.

This application provides a traffic scheduling method, apparatus, and electronic device, relating to the field of communication technology. The method includes: when a target channel group determined from a shaping group and a non-shaping group is a shaping group, determining a first target channel from the shaping group based on a filtering rule that uses the channel corresponding to the highest credit value as the target channel, and determining whether it meets preset shaping conditions; if it does, scheduling the traffic of the first target channel, adjusting the credit values ​​of the first target channel and other first channels according to a preset credit value adjustment rule, and continuing to schedule the shaping group; if all channels in the shaping group have been scheduled at least once or the preset shaping conditions are not met, re-determining the target channel group. The non-shaping group is scheduled using a round-robin scheduling method. This can alleviate the problem of uneven traffic distribution among channels with traffic shaping enabled when some channels have traffic shaping enabled and others do not.

The invention relates to a method and a device for identifying multi-class dispersed phases in a multiphase flow system, which relate to the technical field of multiphase flow dispersed phase image processing, and adopt a plurality of independent and special deep learning detection models to carry out parallel detection on the same frame of image; based on the physical priori knowledge of each target, asymmetric filtering rules (different confidence thresholds, sizes and length-width ratio constraints) customized for each model are applied to the initial output of each model; meanwhile, a conflict arbitration mechanism based on the space overlapping degree and the preset category priority is introduced, and the overlapping targets recognized in a cross-model mode are precisely judged so as to eliminate recognition ambiguity, that is, the technical route of'special model detection, asymmetric screening and conflict arbitration 'is adopted, and therefore the recognition accuracy of the overlapping targets is improved. And the accuracy, the reliability and the result uniqueness of online detection of multiple types of dispersed phases in a complex multiphase flow system are remarkably improved.

This disclosure relates to systems and methods for efficiently organizing data association, attributes, annotation, and interpretation of large-scale heterogeneous data. Incoming data is received and identification information (“information”) is extracted. A multi-dimensional reduction function is applied to the information, and the information is grouped into sets of similar information based on the function results. Filtering rules are applied to the sets to exclude mismatched information. The sets are then merged into information groups based on whether they contain at least one common piece of information. Common links can be associated with information within a group. If the incoming data includes identification information associated with a common link, the incoming data is assigned a common link. In some embodiments, the incoming data is not modified but assigned to a domain.

A method for obtaining characteristic peaks of compounds, wherein one or more characteristic peaks of compounds are obtained from a mass spectrometry file based on a parameter table. The parameter table records a filter parameter set for each compound, and the selection of characteristic peaks for each compound is determined by the filtering rules defined by its own filter parameter set. Another method for obtaining characteristic peaks of compounds is based on the positions of the characteristic peaks obtained from the mass spectrometry file, from which one or more characteristic peaks of compounds are obtained from another mass spectrometry file.

A threat intelligence gateway (TIG) may protect TCP / IP networks from network (e.g., Internet) threats by enforcing certain policies on in-transit packets that are crossing network boundaries. The policies may be composed of packet filtering rules with packet-matching criteria derived from cyber threat intelligence (CTI) associated with Internet threats. These CTI-derived packet-filtering rules may be created offline by policy creation and management servers, which may distribute the policies to subscribing TIGs that subsequently enforce the policies on in-transit packets. Each packet filtering rule may specify a disposition that may be applied to a matching in-transit packet, such as deny / block / drop the in-transit packet or pass / allow / forward the in-transit packet, and also may specify directives that may be applied to a matching in-transit packet, such as log, capture, spoof-tcp-rst, etc. Often, however, the selection of a rule's disposition and directives that best protect the associated network may not be optimally determined before a matching in-transit packet is observed by the associated TIG. In such cases, threat context information that may only be available (e.g., computable) at in-transit packet observation and / or filtering time, such as current time-of-day, current TIG / network location, current TIG / network administrator, the in-transit packet being determined to be part of an active attack on the network, etc., may be helpful to determine the disposition and directives that may best protect the network from the threat associated with the in-transit packet. The present disclosure describes examples of methods, systems, and apparatuses that may be used for efficiently determining (e.g., accessing and / or computing), in response to the in-transit packet, threat context information associated with an in-transit packet. The threat context information may be used to efficiently determine the disposition and / or one or more directives to apply to the in-transit packet. This may result in dispositions and / or directives being applied to in-transit packets that better protect the network as compared with solely using dispositions and directives that were predetermined prior to receiving the in-transit packet.

The application discloses a multi-path suppression positioning method and system for a belt-shaped sparse single-Beidou CORS network, and relates to the technical field of satellite navigation and positioning. The multi-path suppression positioning method for the belt-shaped sparse single-Beidou CORS network comprises the following steps: acquiring initial pseudo-range time sequence data, receiving time sequence data and regional state data, and performing correction analysis on the pseudo-range data; then, performing filtering processing by using a preset filtering rule, establishing a virtual reference station and performing data fusion; and finally, performing positioning calculation based on an adaptive weight rule to obtain accurate position information of a receiver. The pseudo-range time sequence data of each satellite is dynamically corrected, especially through comprehensive analysis of reflection surface information, environmental data and signal arrival time difference, so that errors caused by reflection surface and environmental changes can be identified and corrected in real time, and the stability and precision of the positioning system in a complex environment are significantly improved.

The invention relates to a connection unit (100) for a network (101), in particular a vehicle network, comprising: a switching device (10) for establishing communication between network components, wherein the switching device (10) comprises the following components: - a recognition unit (11) for providing a pre-filtering function to check incoming messages (EF) for their validity, and - a filter unit (12) for providing security filtering for hardware-based firewall functionality, and a security device (20), in particular an outsourced one, for providing hardware- and / or software-based firewall functionality, wherein the detection unit (11) extracts a part (FH) or some features from a part (FH) of incoming messages (EF) and provides them to the security device (20) to dynamically create adaptive filter rules (FR), and wherein the safety device (20) provides the created filter rules (FR) to the filter unit (12).

Systems and methods for mitigating DNS amplification attacks are provided. In one example, a threat intelligence system collects data about the requests received by a DNS server, and / or responses generated by the DNS server. The threat intelligence system triggers a threat mitigation action upon detecting evidence (in one or more forms) of a DNS amplification attack. The threat mitigation action may include filtering DNS responses generated by the DNS server. The filtering rule may indicate that a DNS response in which the payload size is above a threshold payload size is to be dropped. In examples, the payload threshold size is dynamically set by the threat intelligence system using a machine learning model to minimize the filtering of DNS responses for valid DNS queries, while maximizing filtering of DNS responses for malicious DNS queries.

The embodiment of the invention discloses an article retrieval method, an article retrieval device and electronic equipment. A specific embodiment of the method comprises the steps of generating a request vector in response to a received article retrieval request, and generating retrieval attribute data according to a retrieval condition in the article retrieval request; according to the request vector, retrieving an article vector set under a target leaf node matched with the request vector from a pre-constructed article vector tree; and according to the description attribute data of the articles, retrieving a recalled article set matched with the retrieval attribute data from the articles indicated by the article vector set so as to be screened by the business layer. The implementation mode is related to an information retrieval technology, and some filtering rules of a business layer can be integrated into a vector recall stage of an engine layer in advance. In this way, invalid commodity advertisements which do not meet user requirements can be filtered out in advance, so that the data volume of invalid data needing to be processed by a subsequent service layer is reduced, and the overall retrieval efficiency is improved.

The invention discloses a system certainty enhancement method, which comprises the following steps of: S1, defining a core judgment reference: defining a key CPU (Central Processing Unit) and a key real-time task, detecting the ready states of the key CPU and the key real-time task, and if the ready states exist, triggering a periodic forced scheduling mechanism; s2, deterministic transformation of a scheduler: cutting unnecessary paths, simplifying a user mode preemptive path, and providing an SMP forced scheduling mechanism and a silent background thread; step S3, real-time interrupt processing: key interrupt is set as a high priority, a key CPU is isolated, the bottom half part is limited, and a periodic forced scheduling mechanism is activated; step S4, protocol stack determinacy transformation: optimization is carried out from four aspects of NAPI polling, congestion fragmentation, Qdisk delay and filtering rules; step S5, priority signal processing; and step S6, deterministic transformation of the container: releasing CGroup limitation, binding a key CPU, forbidding NAT and port mapping, using a native IO and closing a non-core daemon process.

The invention discloses a multi-core system and a debugging management device and method of the multi-core system, and is applied to the technical field of circuits, and the multi-core system comprises a scheduler which is connected with each processor and is used for carrying out enabling control on a tracking debugging function of each processor based on trigger information and sending received tracking debugging information to a filter; based on the trigger information, selecting various filtering rules currently started by the filter; and the filter is connected with the scheduler and used for filtering the received tracking debugging information based on the currently started filtering rules so as to discard the tracking debugging information which does not pass through the filtering rules in the tracking debugging information and output the tracking debugging information which passes through the filtering rules in the tracking debugging information. By means of the scheme, debugging management of the multi-core system can be effectively achieved, loss of key trace information is avoided, flexibility is high, and rapid transmission and processing of the trace information can be achieved.

The application discloses a content filtering method and system based on role portraits and a storage medium. The method comprises the following steps: a client establishes a first role portrait library for a user role, and sends the first role portrait library to a server; the server learns each received first role portrait library, and generates a second role portrait library for each role; when the client receives conversation information sent by the user role, it is judged whether the user role matches the first role portrait library; if yes, the first role portrait library is used to filter the content of the conversation information; otherwise, the client sends the conversation information to the server, the server matches a corresponding second role portrait library according to the user role, and uses the second role portrait library to filter the content of the conversation information. The application solves the problems of the prior art, such as rigid filtering rules, incapability of combining with context, and uneven load of the client and the server, and realizes intelligent, accurate and adaptive content filtering.

The application provides a curve recognition method and device based on an experience map, and relates to the technical field of automatic driving of vehicles. The method comprises the following steps: acquiring initial instantaneous curvatures of each path point in a preset order, filtering the initial instantaneous curvatures of the corresponding path points according to a preset filtering rule; screening the path points corresponding to the filtered instantaneous curvatures and the path points corresponding to the initial instantaneous curvatures which do not match the preset filtering rule, to obtain a plurality of suspected curve path points; grouping the plurality of suspected curve path points, and determining whether the suspected curve is a true curve according to the number of suspected curve path points in the group. According to the preset filtering rule, the corresponding initial instantaneous curvatures are filtered to remove noise and errors, and more accurate road curve characteristics are obtained. The number of suspected curve path points in the group is used as the judgment basis, the data processing method is simple and efficient, and is more in line with the actual situation.

Aspects of this disclosure improve modification of requested web content by utilizing an expanded memory buffer of a proxy server. A method may include receiving, by a proxy, web content requested by an application of a user device; initializing, by the proxy, a memory buffer of a first size to store a header of the web content; determining, by the proxy, a set of filtering rules associated with the user of the user device; determining, by the proxy, modified web content in accordance with the set of filtering rules, wherein the determining comprises, when the filtering rules specify modification of body content of the web content, performing operations comprising: expanding the memory buffer to a second size larger than the first size. Other aspects are also disclosed.

Embodiments of the present application disclose a data delivery method and device, a storage medium and an electronic device, wherein the method comprises: receiving a data acquisition request from a data requester, analyzing the data acquisition request to obtain condition dimension information, delivery dimension information and a data filtering rule; performing condition matching in a public dimension wide table based on the condition dimension information, so as to determine at least one associated object based on a matching result of the condition matching; obtaining delivery data of each associated object based on the delivery dimension information, and generating full-amount period data based on the delivery data of each associated object; and performing data filtering on the full-amount period data according to the data filtering rule, so as to obtain delivery full-amount data of a current period, and delivering the delivery full-amount data of the current period to the data requester in a determined delivery mode.

The invention discloses an event processing method and related equipment, in the method, filtering can be executed based on an additional state except event message content, that is, filtering is executed based on a filtering rule of an additional condition, and specifically, the filtering efficiency is improved. The filtering distribution of the event messages can be realized by actively acquiring additional states (such as other states that the event source does not provide within the event messages, surrounding environment states irrelevant to the event source and the like) and based on filtering conditions of the additional states. Besides, AND and OR combinatorial logic of the conditions can be realized through combined arrangement of a plurality of additional conditions, so that a higher-order filtering mode is generated, an arrangement page can be provided, arrangement is performed in a dragging mode on the arrangement page, combinations of the additional conditions can be quickly generated, and usability is improved.

The invention discloses a multi-source heterogeneous knowledge base-oriented text content conflict detection method and system and a storage medium, and the method comprises the steps: obtaining a to-be-detected text slice and a stock text slice in a knowledge base, and carrying out the multi-stage filtering of an initial conflict detection object set based on different preset screening and filtering rules; inputting the conflict candidate object set into a trained conflict perception reasoning model, and outputting all conflict text units forming conflicts between the stock text slices and the to-be-detected text slices; meanwhile, sentence level segmentation is conducted on the conflict candidate object set based on a context sensing rule, old sentences which have the highest similarity with the new sentences and have the similarity higher than a set threshold value are obtained, and potential conflict pairs are formed by the old sentences and the corresponding new sentences; and calculating a matching rate between the conflict text unit list and the potential conflict pair in sequence, determining a final conflict pair according to the matching rate, and outputting and recording a conflict pair detection result containing positioning information. The problems that effective means for processing detection objects are lacked, and it is difficult to efficiently screen and optimize a to-be-detected text set are solved; the problem that semantic conflicts are difficult to accurately recognize and locate to specific conflict texts due to insufficient effectiveness of conflict detection and location is solved, the conflict detection accuracy is improved, and deep semantic conflict recognition and location are realized.

The invention relates to a B2B steel resource recommendation method based on short-term behavior intensity of buying parents, electronic equipment and a storage medium, and the method comprises the following steps: 1) collecting long-term and short-term behavior data of a user, and extracting long-term and short-term behavior characteristics; 2) constructing a buyer behavior intensity sequence model by using a deep learning and time sequence analysis method, and screening out resources highly matched with user interests; 3) filtering results according to industry characteristics and business rules, removing resources which do not meet business requirements, and dynamically adjusting filtering rules according to the business requirements which change in real time; and 4) optimizing the arrangement sequence of the resources based on a high-level sorting algorithm, and realizing accurate recommendation of the B2B steel resources. Compared with the prior art, the B2B steel resource recommendation method has the advantages that the recommendation accuracy is high, the service adaptability is high, and a recommendation system has real-time performance and dynamic performance.

A method for determining whether to dynamically suppress a candidate query answer designated for inclusion in search results includes instantiating a plurality of filtering rules for assessing suppression of a candidate query answer. The filtering rules include one or both of a pattern rule and a site rule. The method further comprises receiving a query, and, after receiving the query, retrieving one or more candidate query answers previously associated with the query. The method further comprises, for each candidate query answer, dynamically suppressing the candidate query answer from a curated position having enhanced prominence within search results relative to a plurality of other result entries, if either or both of a pattern rule and a site rule match the query. The method further includes returning search results including up to one candidate query answer in the curated position, responsive to a candidate query answer not being dynamically suppressed.