444results about How to "Reduce query time" patented technology

An architecture for a management information system includes a backend that services information requests from a front end. The backend retrieves data from management information base(s) (MIBs) and prepares a response to the information requests. The backend maintains a cache of data recently retrieved from the MIBs and uses the cache to retrieve data, instead of making additional requests to the MIBs. The responses may be prepared from cache data only, MIB data only, or a combination of both. The back end is preferably maintained on a same segment of a network as the MIBs. Multiple MIBs may be queried from the back end, and the backend may coordinate with back ends on other segments of the network.

The invention discloses a method, log server and system for recording log data. The method comprises that log data obtained according to the log obtaining condition forms a log set; a data storage server for storing the log set is determined; the log set is stored in the data storage server, and a data sheet of the log set is generated in the data storage server; and after all log data of the log set is introduced into the data sheet, an index is created for the data sheet of the log set. According to the method, log server and system, the storage speed of log data can be improved, a network platform can timely record a lot of log data that is generated in a short time, data loss is prevented, and delayed query time can be shortened.

The invention belongs to the field of data processing for large graphs and relates to a generation and search method for reachability chain list of a directed graph in the parallel environment. The method includes distributing the directed graph to every processor which stores nodes in the graph and sub-nodes corresponding to the nodes; compressing graph data split to the processors; calculating a backbone node reachability code of a backbone graph; building a chain index; building a skip list on the chain index; allowing data communication among the processors; allowing each processor to send skip list information to other processors; allowing each processor to upgrade own skip list information; and building a reachability index of a total graph. Through use of graph reachability compression technology in the parallel environment, the size of graph data is greatly reduced, system computing load is reduced, and a system can process the graph data on a larger scale. The method has the advantages that the speed of reading data from a disk is higher, search speed is indirectly increased, accuracy of search results is guaranteed, and network communication cost and search time are reduced greatly for a parallel computing system during searching.

The invention provides a secondary surveillance radar track extraction method for multimode polling and S-mold roll-calling interrogation. By using the method, false targets under an interference environment can be effectively removed and the accuracy and the real-time performance of the S-mode query are improved. The method is realized through the technical scheme that plot combination is conducted to S-mode plot data which is searched from the same sector of a secondary surveillance radar interrogator, the mean value and the variance of the plot data are calculated, and a real track is initiated after time-space registration; the combined plot data is divided according to the sector characteristic of radar and an associated sector window is created to enter a plot and track processing flow; firstly de-biased measurement conversion is conducted to the associated plot data, a CV (Constant Velocity) model, a CA (Constant Acceleration) model and a current statistical model are combined into a target multi-model, and the interactive input state estimation vector and the variance of each filter under an interactive effect are calculated; interference targets are removed by adopting interference target removing strategies; and unnecessary target files are removed through track management, tracking is ended and a correct target track extraction result of the secondary surveillance radar is given.

The invention discloses a distributed cache method, which is applied in a system with one machine frame and a plurality of single boards, the method comprises: a cache board in the system records a non-cache board which provides the memory of self part as the supplementary cache; the cache stores the data to be deleted due to full local caching in the supplementary cache provided by the non-cache board and deletes the data from the cache board; the cache board responds to the external data request according to the data in the local caching and supplementary cache. The invention also provides another distributed cache method, a distributed caching system and buffers and non buffers in the system. By adopting the invention, the expansion of capacity of caching under the condition of not adding extra storage media can be realized.

The invention discloses a Siamese network-based method for pedestrian re-identification. According to the method, two identical ResNet-50 convolutional neural networks are adopted to form a Siamese network, specifically, the ResNet-50 networks are pre-trained, the ResNet-50 networks are adjusted, the ResNet-50 networks are adopted to build the Siamese network, and the Siamese network is improved;a training dataset is pre-processed; the training dataset is adopted to train the Siamese network; an image to be checked is matched with images in the training dataset, so that an image pair can be obtained; pedestrian re-identification is carried out; and with the classification results of the two images and the consistency of the two images adopted as judgment conditions, images in the trainingdata set which belong to the same person as the image to be checked are determined. With the method of the invention adopted, the distinguishing degree of image depth features and the accuracy of pedestrian re-identification are improved, and time for querying images in a large-scale image set can be decreased.

The invention provides an artificial intelligence-based searching error correction method and apparatus. The method comprises the steps of receiving a first query statement input by a user, and determining whether the first query statement satisfies an error correction condition or not according to a preset error correction strategy; if the first query statement satisfies the error correction condition, determining to-be-error-corrected first word segmentations from the first query statement; obtaining respective first candidate results corresponding to the first word segmentations according to a preset candidate recall strategy; determining an error correction result corresponding to the first word segmentations according to quality characteristic values of the respective first candidate results; and performing error correction on the first query statement based on the error correction result to generate a second query statement. By adoption of the artificial intelligence-based searching error correction method, whether the query needs to be subjected to error correction or not is accurately determined based on historical data, and the error correction candidate results are accurately screened to determine the error correction result, so that the error correction efficiency and accuracy of a search engine are improved, inquiring time of the user is reduced, and user experience is improved.

The invention relates to an information associating method based on a user operation record and resource content. The method comprises the following steps: firstly, automatically excavating a task model (of a user) based on the operation record and a subject model based on the resource content according to the operation history record and the relevant resource content (of the user) in the operation in a personal computer; subsequently, combining the association relationship between the measuring information of the task model and the subject model, and finally finding out other resources which are most relevant to the current resource for the user when the user uses the resource, and recommending the other resources to the user, wherein the user does not need any extra operation in the whole operation process. The task model based on the operation history record and the subject model based on the resource content are automatically excavated, other resources relevant to the resource are automatically recommended as much as possible without any extra operation when the user uses the resources; and the invention aims at saving the time that the user spends in checking the file, so as to guarantee the consistency of user tasks as much as possible, and effectively alleviate the burden of the user to switch over the tasks.

The invention discloses a cache management method of a distributed internal memory column database. The cache management method comprises the steps that cache queues are established on cache master control nodes; each physical task is used as a root node to cut the physical execution plan the node is located so as to obtain the cache calculation track corresponding to each physical task; cache feature trees are established on the cache master control nodes according to the cache calculation track corresponding to each physical task; when query requests arrive, an execution engine is queries to parse SOL statements into the physical execution plans; layer-level transversal is conducted on each node in the physical execution plans starting from the root nodes of the physical execution plan to execute, and whether the cache calculation track corresponding to each physical task is matched with the corresponding cache feature tree or not is judged; if yes, actual cache data of the physical tasks is directly read from the cache nodes, if not, the physical tasks are calculated. According to the cache management method of a distributed internal memory column database, weather a cache hits the target or not is rapidly detected through an efficient cache matching algorithm, and the query efficiency is improved.

The invention provides a webpage retrieval method sensitive to geographical positions, a search engine method and a search engine system. Firstly, a cloud server calculates geographical relevance of selected geographical hot spots of web pages in an off-line state and calculates scores of importance of each geographical hot spot of each web page by being combined with a network link structure obtained by a grid crawling unit, the scores are recorded in meta data of each corresponding web page as fields, and the meta data of each web page are stored in a space database of the server; when a user inquires on line, the server analyzes a geographical range of an inquire statement through natural language processing, calculates the geographical relevance of the inquire statement relative to the geographical hot spots according to the distance between the inquire statement and the geographical hot spots, calls the scores of corresponding geographical hot spots of the web pages in the space database, calculates scores of the web pages in a specific inquiry on line, sequences the results in a descending order, and outputs a retrieval result at the user side.

The invention relates to a system and method for database query optimization. The system comprises a select grammar optimization module, a join grammar optimization module, a where clause optimization module and an aggregate function optimization module. The invention has the beneficial effects that the database query optimization system is provided; a sql statement with long query time and low query efficiency is re-written; an index is established for columns which need to be screened or sequenced and are related to the sql statement; dynamic self-adjustment and self-optimization of the sql statement can be achieved; optimization effects can be ensured; query results are not influenced after optimization; query time is effectively reduced; and query efficiency is increased.

The system comprises wireless communication dedicated network and computer software management system. The dedicated network is composed of dedicated frequency channel, base station equipment, link transmission equipment and bus carried terminals. Computer software management system consists of subsystem of electric arranging buses and subsystem of dynamic monitoring. The system provides advantages of very low running expenses, large user capacity at single frequency point, fast information response speed, powerful linking ability of base station including individual call, group call and cluster call, automatic statistics for passenger flow of getting on and getting off as well as updating and down loading bus carried data wirelessly. Running condition of wireless network and fault analysis are monitored remotely. Computer software management system includes multifunctional subsystems assemble by user. The invention is suitable to areas of materials circulation, special vehicle etc.

The invention discloses a geographical-tag-oriented hot spot area event detection system applied to an LBSN, and belongs to the technical field of network data processing. The detection system is operated in the LBSN and is composed of a sign-in clustering module, an area calculation module based on tag clustering and a hot-spot area event calculation module. The sign-in clustering module is used for performing clustering processing on sign-in information to obtain a geographical area corresponding to the sign-in information, a geographical tag clustering algorithm is adopted by the area calculation module based on tag clustering to obtain an in-cluster area set from the geographical area corresponding to the sign-in information, the sign-in frequency in a time window is applied by the hot spot area event calculation module to obtain a hot spot area event from the in-cluster area set, and therefore the obtained hot spot area event is provided for a user. The cluster is utilized by the geographical-tag-oriented hot spot area event detection system to perform further clustering on points in the cluster within the smaller range, and the system has the advantages of being capable of greatly reducing the calculated data volume in the LBSN and improving the calculation efficiency.

The invention relates to a method and a system for viewing drawings of a substation and is applied to the field of electric power construction. By means of the method and the system for viewing the drawings of the substation, users can view the drawings in different formats on a work site of the substation conveniently, and convenience is brought to workers in the site of the substation to carry out the work. The technical scheme includes that the method comprises the following steps of acquiring electronic drawings directly or acquiring the electronic drawings according to data of paper drawings; processing data of the acquired electronic drawings to acquire data of standard electronic drawings, and supporting edition and annotation functions; describing the key words added to the data of the electronic drawings, wherein the mode of adding the key words is to establish two data tables in standard formats, and fields are added and edited to the data tables. By means of the method and the system, contents of the required drawings can be inquired quickly, information of the required drawings can be found out, query time is saved, and work efficiency is increased.

The invention discloses a data storage and query method for compound fields. The method comprises the following steps of: 1, data storage: storing multiple data in a data table meeting requirements of the third normal form, wherein all storage recordings comprise field names, specific values and serial numbers of major keys; when the compound fields are stored, adding attributes of query quantityfields and the compound fields, related to the serial numbers of the major keys; 2, data query: when the compound fields are queried, for every storage recording, firstly reading query quantity n in the query quantity fields; in the query process, counting the name information quantity m of fields meeting query requirements, and completing the query process of one storage recording when m is not less than n; and then, continuing to perform query till all data tables are queried. The storage and query method has the advantages of reasonable design, convenience for storage and query, small dataprocessing quantity and high query efficiency; and by the adoption of the storage and query method, the problems of low query efficiency, long query time, low search speed, low search efficiency and the like, existing in compound field query, can be solved.

The invention discloses a database query method and system, and relates to the technical field of databases. The method of the embodiment of the invention comprises the following steps: receiving a database query request; judging whether the request is a primary request or not; if the request is the primary request, executing a corresponding database query operation, and storing a query result into a cache; and if the request is not the primary request, obtaining the query result of the database query request in the cache. When the same SQLs simultaneously query the database, the SQLs only query one time and return a result, other requests obtain the result of the first request, i.e., under a certain condition, only first-time SQL language query takes effect within a period of time, and the rest waits for the query result. Multiple-time SQL requests are compressed into one-time SQL request, the burden of the database can be lightened so as to solve the technical problem of database congestion caused by the multiple-time database requests, the result set returning speed of SQL query can be improved, the result set which is subsequently requested to use is the result set which is requested the first time, and query time is greatly shortened.

The invention relates to a monitoring data storing method and device, monitoring data querying method and device, computer device and computer readable storage medium, wherein the method comprises thefollowing steps: receiving monitoring data of a remote device; obtaining information of data type of the monitoring data, equipment identification and data acquisition time; storing the monitoring data into a corresponding classification data table according to the data type of the monitoring data, the equipment identification and the data acquisition time, wherein each of the classification datatables is respectively used for storing monitoring data of a data type, a device identification and a data acquisition time. According to the invention, the monitoring data of different data types, equipment identification and data collection time are separately stored in different classification data tables. When querying the corresponding monitoring data, only the monitoring data need to be found in the classification data table corresponding to the monitoring data, which reduces the data query time and improves the query efficiency of the monitoring data.

The application discloses a method and a device for inquiring data in a database. The method comprises the following steps of receiving an inquiry instruction, determining the state of each block index in a block index collection which is preliminarily stored in a video memory of a GPU (Graphics Processing Unit), starting one or more GPU processes in the case that each block index in the video memory of the GPU is in an asynchronous state, and according to inquiry conditions, filtering the block indexes in the video memory of the GPU to obtain a first block index inquiry result; determining a final data inquiry result according to the first block index inquiry result. According to the method, a CPU (Central Processing Unit) preliminarily generates the block index collection corresponding to the database; as the volume of data of the block index collection is smaller than the volume of original data or partitioned data, all data of the block index collection can be copied and stored in a global memory of the GPU; when the block indexes in the global memory of the GPU are all in the asynchronous state, the inquiry is implemented by directly using the GPU processes; therefore the course of copying the partitioned data from the memory multiple times in the prior art is avoided; the inquiry time is shortened; the inquiry efficiency is improved.