39results about How to "Improve the success rate of analysis" patented technology

The invention provides a domain name resolution method, a domain name resolution system and a client, wherein the domain name resolution method particularly comprises the steps that: one of the domain name resolution based on a domain name server (DNS) protocol and a DNS agency domain name resolution based on a hypertext transfer protocol (HTTP) is applied to perform the first domain name resolution; when the first domain name resolution fails, the other one of the domain name resolution based on the DNS protocol and the DNS agency domain name resolution based on the HTTP is applied to perform the second domain name resolution. By adopting the domain name resolution method and the domain name resolution system, the success rate of the domain name resolution can be improved.

The invention provides a method and device for parsing a tagged file and aims to solve the problem of low tagged file parsing success rate in the prior art. A tag set is generated by acquiring tag targets from a tagged file; the tag targets are grouped according to the public attribute of the tag targets in the tag set; one or more grouped tags are obtained from the grouping result; a mapping list is parsed according to the preset tagged file, the attributes of the tag targets in the one or more grouped tags are matched; and the data for parsing the tagged file is obtained from the matched grouped tags. The tag targets are grouped according to the public attribute of the tag targets, so that association is established among the tag targets which are disordered in the tagged file, further matching parsing is facilitated, and the tagged file parsing success rate is effectively improved.

An embodiment of the invention provides a method, a device and an apparatus for parsing a character string and a computer-readable storage medium. The method comprises the following steps of obtainingthe character string needing to be parsed and initializing a preset parser set; parsing the character string according to the preset parser set to generate character words; converting the character words into a word sequence; parsing the word sequence according to the word sequence and a preset grammar database to generate a parsing result of the character string. By implementing the method provided by the embodiment of the invention, the parsing success rate of the character string can be improved, and the promotion of the input speed of a user and the input use experience of the user is facilitated.

The invention provides a marker file parsing method and device which are used for solving the problem that the success rate in parsing a marker file is low in the prior art. The method includes the steps that a tag set is generated by acquiring tag objects in the marker file; the tag objects are grouped according to common attributes of the tag objects in the tag set; one or more tag groups are acquired from grouping results; a mapping table is parsed according to the preset marker file, and matching is carried out on attributes of the tag objects in the one or more tag groups; data for file parsing are acquired from matched tag groups. By grouping the tag objects according to the common attributes of the tag objects, a correlation is established between the original unordered tag objects in the marker file, further matching analysis is greatly facilitated, and the success rate in parsing the marker file is effectively improved.

The invention provides a personal harmful call detection method and device based on a streaming data graph and a readable medium, and the method comprises the steps: collecting CDR data of a pluralityof users, decomposing the CDR data to obtain communication data, storing the communication data in a graph database, and obtaining a communication graph; communication node statistics and related attributes and representations of the sub-graphs are extracted from the communication graph based on the depth graph; preprocessing the related attributes and the representations, training the related attributes and the representations as machine learning model parameters to obtain a first analysis result, and classifying suspicious call groups in the first analysis result; storing the suspicious call group into a graphic database, and carrying out secondary analysis to obtain the number of the harmful call. The method is advantageous in that real-time performance and accuracy are improved to a large extent, current and historical graph characteristics and record traceability of the call can be checked in real time, manual confirmation is carried out in the mode of repeatedly listening to thecall, and the analysis success rate is increased.

The invention provides a text analysis method and device, and the method comprises the steps: obtaining a first text which is one sentence in a specified document of a specified field; using a presetanalysis rule to analyze the first text, and the analysis rule being used for analyzing the first text into structural description which can be understood by a computer; if the analysis of the first text fails, performing anaphora resolution on the first text to convert anaphora in the first text into noun entities, and taking the text after anaphora resolution as a second text; and analyzing thesecond text according to a preset analysis rule. According to the text analysis method and device, the to-be-analyzed text can be analyzed into structural description which can be understood by a computer, and the analysis success rate is high.

The invention relates to a Tulipa gesneriana L chromosome karyotype studying method, wherein specifically the root tip germinated from Tulipa gesneriana L bulb is used as an experimental material, andchromosome morphology observation and studying is performed through the vigorous division characteristic of the meristematic cells in a root tip meristem region. The invention further discloses a Tulipa gesneriana L chromosome karyotype studying technology, which comprises material selection, pretreatment, fixation, dyeing, slide forming and microscopic examination. According to the present invention, with the method and the technology, the Tulipa gesneriana L chromosome is subjected to karyotype studying and analyzing, wherein the method is simple and reliable, the results are accurate and reproducible, and the operation is easy; and the method and the technology have great significance and provide a certain technical support in the Tulipa gesneriana L chromosome karyotype studying, thegermplasm resource classification and protection, and other related researches.

The invention discloses an address resolution method and system based on simhash, and the method comprises the steps: carrying out word segmentation of an obtained to-be-resolved address according toa word segmentation dictionary to acquire a to-be-resolved address text entry; precisely matching to-be-analyzed address text entries with the sample address text entries in the address index one by one, and if matching succeeds, outputting longitude and latitude information corresponding to the address as an analysis result; if the matching fails, calculating a simhash value of each to-be-parsedaddress text entry; matching the simhash value of each address text entry to be analyzed with the simhash value of the sample address text entry in the address index one by one to obtain at least onesample address text entry meeting a preset condition; and taking longitude and latitude information corresponding to the sample address text entry with the minimum address hierarchy as an analysis result. By means of the mode, the analysis accuracy of the to-be-analyzed addresses is improved, and address analysis efficiency is improved.

The invention discloses a prevention method and a prevention device for domain name system (DNS) denial of service. The prevention method for the DNS denial of service includes detecting a denial of service detection step and a denial of service prevention step when the DNS server is in a denial of service state, wherein the prevention of the denial of service is achieved through a cache curing function in the denial of service prevention step. A DNS denial of service prevention device comprises a denial of service detection module for detecting whether the DNS server is in the denial of service state and a denial of service prevention module for preventing denial of service, wherein the denial of service prevention module achieves the prevention of the denial of service through activating the inner cache curing function. According to the prevention method and a prevention device for the DNS denial of service, when the DNS server is in a denial of service state, the resource waste of a recursive parser of the DNS server is substantially reduced, and the resolution success rate of common domain names is improved.

The invention provides a domain name resolution method and device, equipment and a medium. According to the embodiment of the invention, the domain name resolution server comprises at least two domainname service modules, and each domain name service module can independently perform domain name resolution on the target domain name. When a network request is initiated, a domain name resolution request is sent to a domain name resolution server, and the domain name resolution request indicates a domain name server to resolve a target domain name in the network request, so that the target domainname is respectively resolved by utilizing a plurality of domain name service modules. According to the embodiment of the invention, the first resolution result sent by the domain name resolution server is received, the receiving time of the first resolution result is used as the selection factor, and the second resolution result can be obtained to access the network resources, so that the domainname resolution efficiency is improved, the target domain name is respectively resolved by various domain name service modules, and the DNS resolution success rate can be improved.

The invention discloses an NB-IoT water meter data retransmission optimization method, system and device and a storage medium, and the method comprises the steps: obtaining a first redundancy version of first NB-IoT water meter data which is not successfully analyzed, and scrambling the first redundancy version to generate a scrambling code redundancy version; the first redundancy version and the scrambling code redundancy version are uploaded again through asynchronous double processes; selecting an optimal redundancy version from the first redundancy version and the scrambling code redundancy version, and analyzing the optimal redundancy version to obtain first message data; and performing CRC check on the first message data, if the check is successful, returning analysis success information, and if the check is unsuccessful, returning analysis failure information, and after a preset time interval, adding the optimal redundancy version to the second NB-IoT water meter data, and then performing retransmission. According to the invention, the analysis success rate of the retransmission message is improved, the retransmission times and retransmission pressure of the message are reduced, the power consumption of the terminal is saved, and the method can be widely applied to the technical field of Internet of Things communication.