112 results about "Filtering rules" patented technology

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.

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.

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.

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 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.

A method operable by a gateway for managing undesired communication traffic includes (i) receiving a traffic fingerprint from a management controller, the traffic fingerprint representing one or more characteristics of the undesired communication traffic, (ii) comparing the traffic fingerprint to a connection log of the gateway to determine that the undesired communication traffic corresponds to a first communication traffic flow, the first communication traffic flow being a communication traffic flow of a first client of a local area network (LAN) that flows through the gateway, and (iii) in response to determining that the undesired communication traffic corresponds to the first communication traffic flow, managing the first communication traffic flow according to one or more filtering rules without interfering with a second communication traffic flow, the second communication traffic flow being another communication traffic flow of the first client of the LAN that flows through the gateway.

The invention provides a cell access optimization method and system, computer equipment and a storage medium, and relates to the technical field of communication, and the method comprises the steps: predicting the residence probability of a user in a corresponding candidate cell in each preset time period in a plurality of preset time periods in the future; obtaining a load cost value of each candidate cell; obtaining an access score of each candidate cell based on the residence probability and the load cost of each candidate cell, and outputting an access score sequence of the candidate cells; and screening out at least one selectable target cell from the candidate cells based on a preset screening rule, and screening out the selectable target cell with the highest access score based on the access score sequence of the candidate cells as a final target cell to be accessed by the user. According to the technical scheme provided by the invention, dynamic optimization of the access decision is realized through deep fusion of user behavior prediction and cell load perception, and continuity and stability of user experience are effectively guaranteed while the utilization rate of network resources is improved.

The invention discloses a method for realizing multi-service deployment and capacity expansion of an MCPTT service based on an IFC rule, which belongs to the technical field of wireless communication network management, is realized by configuring an initial filtering rule of an IMS core network side, and comprises the following steps: S1, deploying two or more sipserver services in an MCX service system, and configuring unique addressing information for each sipserver service; s2, when a user opens an account, different IFC templates are configured for different user groups in user data of the IMS network, and each IFC template triggers a service request of the user group associated with the IFC template to a specified sipserver service; s3, the IMS core network routes the received user service request to the corresponding sipserver service for processing according to the IFC template; according to the invention, the service request of the user group is dynamically routed to different sipserver services based on the differentiated IFC template by using the existing service triggering mechanism of the IMS core network, so that the precise capacity expansion and load balancing of the bottleneck service of the MCX system are realized.

This application provides a log data filtering method, apparatus, electronic device, and storage medium, relating to the field of data filtering technology. The method includes: using a SELECTOR parser to perform syntax validation on pre-written filtering rules; after successful validation, creating a filter based on the filtering rules; obtaining logs to be filtered; and using the filter to filter the logs. This method filters logs by setting filtering conditions, thereby saving storage space and reducing query pressure when collecting logs, solving the problem of large amounts of logs occupying storage space and the significant query pressure on security operations personnel when retrieving the required logs from massive amounts of data.

The invention relates to the technical field of computers, and discloses an application exception processing method, device and system based on byte codes, and the method comprises the steps: determining a to-be-processed class file list in a target branch in a compiling process, judging whether the to-be-processed class file meets a class file filtering rule or not, and if yes, determining that the to-be-processed class file meets the class file filtering rule; if yes, determining that the to-be-processed class file is a target to-be-processed class file, determining a to-be-processed operation list in each target to-be-processed class file, generating an operation signature according to the operation information of the to-be-processed operation, and performing matching with a preset exception processing rule according to the operation signature to obtain a matching result, and performing exception processing on the to-be-processed operation according to a matching result. It can be seen that by implementing the method, code exception processing of the application project can be achieved in the compiling process, project source codes do not need to be modified, project maintenance cost and integration difficulty are reduced, and application performance and operation stability are improved.

The application relates to the technical field of industrial equipment state monitoring and fault diagnosis, in particular to a real-time data processing method and system of an industrial equipment monitoring system, which comprises the following steps: a data acquisition node acquires equipment original operation data and adds a first time stamp to generate a to-be-processed data set; an edge gateway removes abnormal fluctuation data according to a preset filtering rule to obtain a first filtered data set; missing data points are identified and filled through a data reconstruction method to form a continuous time series data set; key feature parameters representing the equipment operation state are extracted according to a predefined rule, the key feature parameters are packed and compressed with the first time stamp into a monitoring data packet, and the monitoring data packet is uploaded to a central server. Through the data filtering, missing value filling and feature compression processing on the edge side, the data transmission amount is effectively reduced, the network transmission pressure is reduced, and the data reliability and system real-time performance are improved.

The present disclosure relates to an application processing method, device and storage medium, wherein the application processing method is applied to a terminal device, and includes: determining candidate applications that meet filter conditions of implicit starting events; filtering out target applications in the candidate applications that do not meet a trigger scenario based on a filtering rule corresponding to the trigger scenario detected currently; and starting the candidate applications from which the target applications have been filtered out. In this way, the target applications cannot use the implicit starting function under the corresponding trigger scenario, and the purpose of starting the applications selectively is achieved.

The invention provides an alarm notification processing method and device, electronic equipment and a storage medium, and relates to the technical field of monitoring. The method comprises the steps that according to monitored abnormal information and a preset alarm notification generation rule, an alarm notification is generated, and the alarm notification comprises at least one of alarm content, generation time, alarm frequency, alarm grade, alarm channel, abnormal object identification, abnormal object area, target receiving object and real-time variable; and filtering the alarm notifications in sequence according to the first preset filtering rule and the second preset filtering rule, and sending the filtered alarm notifications to the corresponding target receiving objects. According to the method, the alarm notifications to be sent are filtered according to different preset filtering rules through double filtering, and the display form of the real-time variables can be adjusted according to the sensitivity degree, so that cross-channel suppression of repeated alarm notifications and confidentiality of sensitive information are realized; therefore, the problem of cross-channel repeated arrival of the alarm notification of the multi-source monitoring system is relieved, and the compliance and traceability of the alarm notification are improved.

The application discloses a gateway service system and method, the system comprises a server module and a client module; the server module carries out routing operation according to a rule filter when receiving a downstream service request sent by the client module, the rule filter comprises a pre-filter, a middle filter, a post-filter and an exception filter; the middle filter is used for load balancing and protocol analysis, and single-asynchronous request processing or double-asynchronous request processing is selected according to the length of access delay time of a downstream processing request; the weight in load balancing adopts a preheating mechanism, and increases from a preset initial value to a preset weight value within a period of time; the application can flexibly configure filtering rules, optimize load balancing strategies, and improve the reliability and robustness of gateway service.

The invention discloses an RDMA-based phased array radio astronomical real-time data stream transmission processing method and system, and the method comprises the steps: S1, data receiving preparation: creating a queue pair of an original data packet type at a receiving end server through the RDMA, and constructing an annular receiving buffer area; s2, flow rule configuration and data capture: creating a flow filtering rule by using an InfiniBand flow control interface, directly writing a matched data flow into an annular receiving buffer area, and bypassing an operating system kernel protocol stack; s3, real-time signal processing: performing fast Fourier transform and spectrum accumulation processing on the extracted time domain signal to generate spectrum data; and S4, data persistent storage: transmitting the processed spectrum data to a host memory, and writing the spectrum data into a disk file in batches through a buffer mechanism. According to the invention, ultra-high-speed data transmission is realized by using zero copy of the RDMA and a kernel bypass mechanism, the end-to-end delay is reduced to a microsecond level, and the throughput, real-time performance and reliability of phased array radio astronomical observation data are remarkably improved.

In one embodiment, a computing platform featuring a controller and a first virtual private cloud network, which is communicatively coupled to the controller. The first virtual private cloud network includes at least a first gateway including egress filtering logic. The egress filtering logic is configured to (i) filter messages routed from the first gateway in accordance with a first set of filtering rules maintained by the first gateway and (ii) bypass the filtering of messages directed to or originating from one or more subnetworks in accordance with the first set of filtering rules.

The invention provides a recommendation model training method and device, equipment and a storage medium, and relates to the technical field of artificial intelligence, in particular to the technical fields of deep learning, large language models, intelligent dialogues and the like. According to the specific implementation scheme, multiple rounds of dialogues are obtained, wherein each round of dialogue comprises a question input by a user and an answer output by a dialogue system for the question; a first data set is determined based on the multiple rounds of dialogues, the first data set comprises multiple groups of data, and each group of data comprises questions and answers of the current round of dialogues and questions of the next round of dialogues; screening the first data set by adopting a screening rule to obtain a second data set; generating corresponding training samples based on each group of data in the second data set to obtain a training set comprising a plurality of training samples; and adopting the training set to supervise and train the recommendation model. The performance of the recommendation model can be improved, and then the accuracy of question recommendation is improved.

The embodiment of the invention provides a message attribute format file generation method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a target database file related to controller local area network communication; analyzing the target database file according to a preset filtering rule to obtain message attribute information of the message; and according to the preset style information and the message attribute information, generating a message attribute standard file, so that a required message is automatically identified, the required message attribute information is extracted, and a complex target database file related to controller local area network communication is converted into an intuitive standard file convenient to read. According to the method, the efficiency of processing the message in the target database file related to controller local area network communication is improved, the time and labor intensity of manual processing are reduced, time and labor are saved, understanding and use and cross-team sharing by non-professionals in the procedure communication test process are facilitated, and then the test efficiency and the test quality are greatly improved.