33results about How to "Reduce query cost" patented technology

The invention discloses a domain knowledge graph based on a semantic triangle and a query method. The graph comprises a concept layer and an entity layer; the concept layer is composed of a set of concepts, and each concept has a unique identification and is represented by a represent word item and a candidate word item set; according to field related knowledge and the concept set of the concept layer, multiple entities corresponding to each concept are instantiated, the entity layer is formed, the entities are extensions of concepts, and each entity has a unique identification and is represented by a represent word item and a candidate word item set; an association relationship established according to the field related knowledge is set between the related concepts; an association relationship established according to the field related knowledge is set between the concept layer and the entity layer; an association relationship established according to the field related knowledge is set between the entities. By means of the method, separation of the concepts and the entities is achieved, knowledge summarization is convenient, different effects of the concepts and the entities in knowledge understanding and application are distinguished, and the query efficiency is improved.

The invention provides a commodity digital anti-counterfeit method. The method comprises the following steps: setting security codes and randomly generated anti-forgery patterns on commodities; building one-one correspondence between the security codes and the anti-forgery patterns in an identification system; obtaining the identification system for users, inputting the security codes on commodities to the identification system, and outputting the anti-forgery patterns corresponding the security codes by the identification system. The method of the invention does not need real-time networkingsupport, the query efficiency is high and the query cost is low.

This invention discloses one requiring method based on bloom filter structure, which divides different prices of different elements into different sub set and through looking each sub set lowest failure rate relationship establishes each sub set lowest positive rate to represent set integration lowest requirement invalid cost aim function. The invention uses category function step inherit formula to get each optimized Hars function number to fulfill set mapping and finding to vector.

The invention belongs to the technical field of trajectory data calculation, and particularly relates to a method for expressing road network trajectory data again. The road network trajectory data obtained by original GPS (Global Positioning System) sampling is difficult in coding compression, and therefore, an original three-dimensional real number sequence needs to be changed before compression is carried out. By use of the method, a road network trajectory matched with a map is decomposed into spatial data and time data, wherein the spatial data is a road network road sequence, the time data is a distance-time two-tuple sequence, and data before and after decomposition is carried out can be subjected to lossless transformation in linear time. During trajectory calculation, trajectory storage and query cost in a database can be reduced.

The embodiment of the invention discloses a multi-table association query method, device and equipment. The method comprises the steps of obtaining a first query statement; Obtaining a second query statement; Wherein the query conditions in the first query statement and the second query statement have the same fields; Estimating a first query cost of the first query statement; Estimating a secondquery cost of the second query statement; Determining the minimum query cost; According to the query statement corresponding to the minimum query cost, performing query to obtain a first query resultset; Rewriting another query statement according to the first query result set; Querying according to the rewritten query statement to obtain a second query result set; And obtaining an associated query result set according to the first query result set and the second query result set.

The invention discloses a location anonymous method for resisting a replay attack in a road network environment. The location anonymous method for resisting the replay attack in the road network environment comprises the steps that: (1), road sections are pre-processed; the road sections are pre-sorted for one time by adoption of breadth-first sorting; and the location query cost is reduced; and (2), an anonymous set is constructed; an equivalent partition is obtained from the sorted road sections; an anonymous and equivalent road section concealment set is obtained; various road sections in the concealment set are equalized by adoption of a pseudo-user adding mechanism, so that the edge weight association degree satisfies a pre-set threshold value; and thus, a privacy threat due to an edge weight inference attack also can be prevented while the replay attack is resisted. By means of the location anonymous method for resisting the replay attack in the road network environment disclosedby the invention, the common replay attack and edge weight inference attack in the road network environment can be resisted while the concealment set can be effectively generated; and furthermore, the method is low in query cost and quick in service response.

The invention discloses a data query method and device, and belongs to the technical field of information. The method comprises the following steps that: receiving a data query request, wherein the data query request at least carries ENUM (enumeration) data to be queried; from a pre-established database, inquiring the ENUM data matched with each hierarchy of data of the ENUM data to be queried by hierarchy; in a hierarchy to hierarchy query process, if any one piece of ENUM data in the database is not matched with the data, on an appointed hierarchy, of the ENUM data to be queried, returning a failure message; and if any one piece of ENUM data in the database is matched with each hierarchy of data of the ENUM data to be queried, returning a successful message. By use of the method, all data in the database does not need to be traversed, after the data query request is received, query is carried out in multiple hierarchies of the database to return a query result, query efficiency is improved, resource consumption caused by querying useless resources is avoided, and query cost is greatly saved.

The invention discloses a multifunctional data management platform, and the platform comprises an internal request processing module which is used for receiving a data query request of an internal service system and returning a message corresponding to a data processing result to the internal service system; an external interface processing module which is used for forwarding the external query request to an external data supplier, receiving a message returned by the external data supplier and analyzing the message; a micro-service module which is used for providing a response query service and a cache service for the query request; and a data storage module which is used for storing the query service and the data generated by the micro-service module. The system can unify external data management entrances and exits, unify internal service system docking standards, avoid respective development of each service system, respective docking of external data suppliers and repeated function development, facilitate full-life-cycle management such as external data access, query, effect analysis and exit, support shared query capability, improve data docking efficiency, and business requirements are met.

The invention belongs to the field of AI security, relates to comprehensive application of privacy learning, ensemble learning and knowledge migration, and provides a method which is stable in model training, good in generation effect and strict in privacy guarantee. Therefore, the technical scheme adopted by the invention is as follows: according to the improved PATE-based WGAN-GP privacy protection method, differential privacy protection is carried out based on a designed consensus degree check condition and Gaussian distribution sampling noise, so that an aggregation mechanism is optimized; a conditional differential privacy aggregator is designed in the integration process by utilizing the relation that the consensus degree of a teacher discriminator is inversely proportional to the privacy cost and the consensus degree of the teacher discriminator is directly proportional to the accuracy, and synthetic data for other machine learning models to train is generated on the basis of protecting original sensitive training data by optimizing a teacher classifier cluster. The method and the device are mainly applied to privacy data security protection occasions.

Provided is a dynamic RDF data conversion storage and attribute selection method. According to queries submitted by users, attributes are selected dynamically, a list structure is determined, and the list structure is optimized according to information related with connecting operations in the queries; the method comprises the steps that (1), RDF data query sets are inputted to generate corresponding attribute connecting condition matrices; (2), based on the attribute connecting condition matrices, attribute correlation degree matrices are generated; (3), the attribute correlation degree matrices are subjected to clustering; (4), according to affinity degree thresholds designated by the users, the clustered attribute correlation degree matrices are analyzed to execute attribute selection, and one or one ultimate attribute tables are formed. The query sets are inputted, so that the attribute connecting condition matrices are generated.

The invention discloses an ecological spatial data fusion method, which belongs to the technical field of geographic information. The ecological spatial data fusion method comprises the following steps: 1, spatial data collection: collecting different types of data from different data sources in real time or in time; 2, spatial data storage and management: selecting a storage mode and an organization and management mode according to application requirements and data characteristics; 3, spatial data processing and fusion: realizing high-performance data parallel computing and statistical analysis work by utilizing a geographic space big data analysis technology according to a natural resource statistical analysis requirement, and finishing processing and fusion of spatial data; and 4, spatial data visual expression: selecting a corresponding visual expression scheme by utilizing data information of geographic space big data, and converting a natural resource investigation monitoring result into information required by a user. According to the ecological spatial data fusion method, a computer software processing technology is adopted in the aspect of data processing, and the data processing speed and efficiency are improved.

The invention discloses a data query method and equipment, which are applied to a computer system comprising a TCAM (Ternary Content Addressable Memory) table, a DDR (Double Data Rate) mapping table and a DDR sharing table. The method comprises the following steps of receiving network data, and when the data in the network data is matched with the data in a first table item in the TCAM table, sending the network data to the DDR sharing table; querying based on data of a second table entry in the DDR mapping table and data of a third table entry of the DDR shared table, the line number of the first table entry being the same as that of the second table entry, and when the data in the network is not matched with the data in the first table entry in the TCAM table, not querying the network data, and exiting the query. The method is advantaged in that query cost is reduced, the TCAM with the same size supports more table entries, and use experience of a user is improved.

The invention belongs to the technical field of computers, and relates to an information processing method and device, a computer readable storage medium and electronic equipment. The method comprisesthe steps of obtaining a set identifier, a set version identifier and a set concept identifier of a value set, and determining a target set identifier and a target set version identifier in the set identifier and the set version identifier; determining a target set concept identifier according to the target set identifier and the target set version identifier based on a first mapping relationshipamong the set identifier, the set version identifier and the set concept identifier; determining a target system corresponding to the target value set according to the target set identifier, and obtaining a target system identifier and a target system version identifier of the target system; and determining target concept name information according to the target system identifier, the target system version identifier and the target set concept identifier to generate a target value list. According to the invention, the flexibility of the value list and the compatibility of the system are improved, and the query efficiency of the target value list is improved.

The invention discloses an information search method, and is used for improving the accuracy of searching target objects by users. The method comprises the following steps of acquiring N pieces of regional information corresponding to N image regions, wherein the N pieces of regional information are acquired by selecting N image regions in M images, each image corresponds to a source object, M and N are positive integers, and the N is more than or equal to the M; acquiring N' sub objects from N regions, wherein the sub objects are the components of the source objects, N' is a positive integer which is less than or equal to N; respectively acquiring parameter information corresponding to each N' sub object in the N' sub objects according to M source objects respectively corresponding to M images and each N' sub object in the N' sub objects; searching according to the acquired parameter information to acquire a target object corresponding to the acquired parameter information. The invention also discloses a corresponding server.

The invention designs an unmanned aerial vehicle ad hoc network active routing method based on clustering. According to the routing, aiming at the problems of routing message flooding and stable link selection of an unmanned aerial vehicle ad hoc network routing under the condition that nodes are increased, a clustering routing method utilizing node and link stability prediction and survivability calculation is designed, and the method utilizes clustering to reduce congestion and perform effective network communication stability maintenance. Due to the problems that the number of unmanned aerial vehicles is continuously increased, the mobility is high, the number of links is increased and the links are unstable, an unmanned aerial vehicle routing method based on clustering must be designed. According to the routing method, firstly, unmanned aerial vehicles are divided into different clusters, routing between nodes in the clusters and routing between the clusters are managed through cluster heads, the cluster heads can generate time sequence-based destroy-resistant routing between the nodes in the clusters according to node motion states, and on the basis, the nodes actively maintain the availability of destroy-resistant routing tables; therefore, when the node is detected to be damaged, the node can be repaired in time to complete normal message communication, and the link state between the nodes in the corresponding route is predicted and evaluated during communication, so as to guarantee the QoS requirements of different services. The method is suitable for a man-machine ad hoc network environment, the stability of unmanned aerial vehicle group communication can be improved, and the problem of transient communication paralysis caused by node damage is avoided.

The invention discloses a data mining based massive data query system. The system comprises a data acquisition module, a data processing module, a data storage management module, a data mining module, a data service module and a data monitoring module. The data acquisition module is used for acquiring data to a data processing center from various data sources; the data processing module is used for decoding and format conversion of preliminarily processed data acquired by the data acquisition module; the data storage management module is used for storage management of data processed by the data processing module; the data mining module comprises a data source integration submodule, an associated word storage submodule, a mining submodule, an output submodule and a feedback submodule; the data service module is used for realizing interaction between the data stored in the data storage management module and users in various ways to meet data access demands of the users. The data mining based massive data query system has advantages of increase of massive data query speed, simplification of query ways, reduction of query cost and improvement of convenience in use of massive data.

The invention discloses a parent level query method and device, equipment and a storage medium, and relates to the technical field of big data, and the method comprises the following steps: obtaining object information of each object in all levels except the highest level in an organizational structure diagram, and integrating the object information of each object to obtain a plurality of first integrated data; integrating all the first integrated data into one line to obtain second integrated data; inputting the second integrated data into a self-defined user definition table generation function; and when it is monitored that a parent level of a target object in the organizational structure diagram needs to be queried, querying parent primary keys of all levels of the target object from the second integrated data through the user definition table generation function, and outputting the parent primary keys. According to the method and the device, the parent primary keys of the objects in the specified type hierarchy in the organizational structure diagram can be simply, conveniently and intuitively output through the user-defined table generation function, so that the query efficiency is improved, and the query cost is saved.

The embodiment of the invention provides a data query and result generation method and device, equipment and a storage medium. The method comprises the steps that to-be-queried content information, column information, query limitation conditions of the to-be-queried content information and storage information of a query result are acquired from each query demand; a query parameter file and an address parameter file corresponding to each query demand are generated, wherein each query parameter file comprises the corresponding to-be-queried content information, column information and query limitation conditions, and each address parameter file comprises the storage information of the corresponding query result; according to each query demand, the query parameter file corresponding to the query demand is called, and the query result corresponding to the query demand is obtained through query according to the query parameter file; and according to each query demand, the address parameter file corresponding to the query demand is called, and the query result corresponding to the query demand is downloaded according to the address parameter file. The scheme is beneficial for lowering query cost, improving query flexibility and lowering the resource occupation rate.

The invention relates to the technical field of data processing, in particular to a public opinion data query method and a related device. The technical scheme provided by the invention is executed by a public opinion data query system, the public opinion data query system receives query condition information, the query condition information is used for querying target public opinion data, and summary information of the target public opinion data is queried in a database according to the query condition information; the summary information comprises data information except the text file of the target public opinion data, the text file of the target public opinion data is inquired from the file server, the inquiry result of the target public opinion data is displayed, and the inquiry result comprises the summary information and the text file of the target public opinion data. According to the technical scheme provided by the invention, the query efficiency of the public opinion data is improved, and the query cost of the public opinion data is reduced.

The invention provides a query processing method. The method comprises the following steps: determining query feedback according to a received query request comprising a character string, and determining a target candidate entity set based on the query feedback, the character string and a preset knowledge base, assessing each target candidate entity in the target candidate entity set to obtain anassessment result, and determining the category of each target candidate entity based on the assessment result of each target candidate entity. The technical effect of accurately judging the type of the query input by the user is achieved, the search cost of the user can be reduced, and the recall rate is increased. The invention further provides a query processing device and a computer readable medium.

The embodiment of the invention discloses an intelligent tool cabinet and an intelligent tool management system.The tool cabinet comprises a cabinet body, a plurality of external devices, a tablet controller and a mechanical control panel, the external devices, the tablet controller and the mechanical control panel are arranged on the cabinet body, each external device comprises a card reader and a code scanning gun, the card reader is used for a user to swipe a card for identity verification, and the code scanning gun is used for scanning a code; the code scanning gun is used for scanning a two-dimensional code pasted on a tool to obtain tool information, and the mechanical control panel controls opening and closing of the cabinet doors according to instructions of the panel controller. Intelligent management of tool type production materials can be realized, and resources and cost are effectively reduced.

The invention discloses a data query method and equipment, which are applied to a computer system including a TCAM table, a DDR mapping table, and a DDR sharing table. The method includes: receiving network data, when the data in the network data and the TCAM When the data in the first entry in the table matches, query is performed based on the data of the second entry in the DDR mapping table and the data of the third entry of the DDR sharing table, and the data of the first entry The number of rows is the same as that of the second entry, and when the data in the network does not match the data in the first entry in the TCAM table, the network data is not found, and exit Query, so as to reduce the query cost, allow the TCAM of the same size to support more entries, and improve the user experience.

The invention discloses a data query method and device, and belongs to the technical field of information. The method comprises the following steps that: receiving a data query request, wherein the data query request at least carries ENUM (enumeration) data to be queried; from a pre-established database, inquiring the ENUM data matched with each hierarchy of data of the ENUM data to be queried by hierarchy; in a hierarchy to hierarchy query process, if any one piece of ENUM data in the database is not matched with the data, on an appointed hierarchy, of the ENUM data to be queried, returning a failure message; and if any one piece of ENUM data in the database is matched with each hierarchy of data of the ENUM data to be queried, returning a successful message. By use of the method, all data in the database does not need to be traversed, after the data query request is received, query is carried out in multiple hierarchies of the database to return a query result, query efficiency is improved, resource consumption caused by querying useless resources is avoided, and query cost is greatly saved.