71 results about "Computational statistics" patented technology

In embodiments of the present invention improved capabilities are described for predicting the reputation of a communication identifier, such as a web address, a domain name, an IP address, host name, email address, IM address, telephone number, VoIP telephony address, and the like. In embodiments, the present invention may receive a communication from a first communication identifier, parse the first communication identifier into its components, and assign the components to a hierarchical tree structure, where the hierarchical tree structure maintains the hierarchical relationship between the components of the communication identifier. The present invention may monitor and keep count of a number of communications from the first communication identifier, wherein the number of communications may be kept for both malicious and/or unwanted communications and non-malicious and/or unwanted communications. Attributes may then be provided to the number of communications for each appropriate component of the hierarchical tree, and a statistical measure may be calculated as related to the number of communications for each component of the hierarchical tree. The present invention may then receive a communication from a second communication identifier, where the second communication identifier may be previously unknown and have a common component with the hierarchical tree. The statistical measure of the common component may then be assigned to the second communication identifier, and utilizing the statistical measure assigned to the second communication identifier, may provide a prediction of reputation of the second communication identifier.

A system, method and computer storage medium is provided for computing analytics on structured data. The method for computing analytics on structured data comprises providing at least one data source, providing a statistics object for computing statistical estimates, providing software capable of performing any of the data processing methods selected from the pass, stream and merge methods and performing at least one statistical calculation on data from the data source using the statistics object to compute statistical estimates by at least one method selected from the provided data processing methods.

The invention discloses an abnormal data detection and modification method based on a numerical value relevance model. The method includes the following steps that first, abnormal data judgment conditions are defined by a display module and stored into a source indicator database; second, a data access layer traverses service indicator data in the source indicator database, judges whether the service indicator data meet the abnormal data judgment conditions or not and displays the service indicator data meeting the abnormal data judgment conditions in the display module, and meanwhile the third step is executed; third, the service indicator data meeting the abnormal data judgment conditions are modified by a service logic module, and the modified data are stored into the source indicator database according to needs. The abnormal data detection and modification method based on the numerical value relevance model greatly improves accuracy of service data of a power grid and accuracy for calculating statistical data groups, makes the statistical analysis result more reliable and provides favorable data support for enterprises in the respects of investment evaluation, benefit analysis and the like.

The invention discloses a dispatching automation simulating training system. The system comprises a prepositive server, an SCADA/PAS (supervisory control and data acquisition/power advance software) server, a historical data server and a simulation workstation, wherein the prepositive server is used for achieving the functions of data acquisition, information exchange, protocol explanation and the like and executing a control instruction; the SCADA/PAS server is used for achieving the functions of data processing, computational statistics, control regulation, event alarming and the like; the historical data server is used for achieving the function of data storage; and the simulation workstation is used for achieving the functions of simulations of telemetric and remote signalling data of a substation, signals of a protective device, remote operation and the like. The system can provide an environment similar to a real grid for training of automation and regulation operation professional, simulate various grid operations and grid accidents through simulated data and simulate various faults of a dispatching automation system through fault setting, thus providing a fault handling practical platform for training students and improving the training efficiency.

The invention discloses a vacancy filling system for measured point data and a vacancy filling method. The vacancy filling system comprises a business indicator data detecting system and a data filling system connected with a business indicator data detecting module, wherein the business indicator data detecting system comprises a source business indicator database module, a data access module connected with the source business indicator database module, a business logic module connected to the data access module, and a data display module connected to the business logic module; and a linear regression filling system, a mean value filling system and an artificially filling system are arranged in the data filling system. According to the vacancy filling system and the vacancy filling method disclosed by the invention, the correctness of business data is greatly improved, the computation precision of a statistic data group is improved, a statistic analysis result is more reliable, and more advantageous data support is provided for jobs such as enterprise investment evaluation and benefit analysis.

The invention relates to the field of exploration and development of oil and gas fields, in particular to a fracture fractal characteristic optimization computation method. After datamation of a facture zone, parameters of statistical boxes are defined by setting boundary parameters and initial positions, the statistical boxes are moved constantly through program writing, fractal dimension values of the positions where the statistical boxes are located are calculated, and therefore programmed calculation of fracture fractal characteristics is realized. The fracture fractal characteristic optimization computation method has high practical value on the aspects of fracture fractal characteristic quantitative evaluation, fracture fractal characteristic quantitative description and the like, is low in prediction cost and high in operability, and greatly reduces the expense of manpower; evaluation results have certain guiding significance in the aspects of predicting the distribution characteristics of oil and gas exploration and development key areas, fracture dominant distribution areas and low-level-sequence faults and the like.

The embodiment of the invention provides a data processing method and device and electronic equipment. The method comprises the steps that label data in a label data set serve as input, unintentionaltransmission with first equipment is conducted, target sub-data are selected from multiple sub-data input by the first equipment, and the multiple sub-data are obtained based on splitting parameters in a splitting parameter set; the selected target sub-data is summed to obtain a first summing result; a second summation result sent by the first device is received, wherein the second summation result is obtained by summing splitting parameters in the splitting parameter set; and a statistical index is calculated based on the first summation result and the second summation result. According to the data processing method and device and the electronic equipment provided by the embodiment of the invention, each data party can jointly complete data index statistics on the premise of not leaking data owned by the data party.

The invention provides an island micro power grid probabilistic load flow analytic calculation method. The calculation method is provided for calculating an operation state of an island micro power grid including intermittent DG such as photovoltaic electricity, wind power and the like; loads of the island micro power grid fluctuates randomly. A conventional island micro power grid steady state load flow analysis method is mainly based on load flow calculation, a load flow result of only a single operation point can be obtained, research on probabilistic load flow calculation is only based ona simulation method which requires computational statistics on a large amount of samples so as to obtain a probabilistic load flow result, online analysis can be adversely affected due to long computation time, and correlation of DG contribution in the micro power grid is mostly not taken into consideration. To overcome the above limitations, the invention provides the island micro power grid probabilistic load flow analytic calculation method via which rapid island micro power grid probabilistic load flow calculation can be realized, requirements for engineering accuracy can be met, and the method disclosed in the invention can be used for on-line analytical application.

Systems and methods that automatically compare sets of files to determine what has been copied even when sophisticated techniques for hiding or obscuring the copying have been employed. The file compare system comprises a file compare program that uses various operational data and user interface options to detect illicit copying, highlight and align matching lines, and to produced a formatted report. A discovered translations file is used to match translated tokens. Other operation data files specify rules that the file program then uses to improve its results. The generated report contains statistics and full disclosures of the discovered translations used and the other methods used in creating the exhibits. The system includes a bulk compare program that automatically detects likely file pairings and candidates for validation as suspected translations, which can be used on iterative runs. The user is given full control in the final output and the system automatically reforms the reports and recalculations the statistics for consistent and accurate final presentation.

The invention discloses a vegetation planting area identification method and system based on a convolutional neural network algorithm. The identification method comprises the following steps of preprocessing an acquired satellite image; identifying the preprocessed satellite image through a convolutional neural network model; and processing the identification result, and calculating by combining the identification result with GIS geographic information to obtain data information of the vegetation planting area. By analyzing and processing the satellite image, the distribution of the vegetationplanting area and the vegetation planting type can be identified, and the planting area can be calculated and counted, the efficiency and accuracy of vegetation planting area statistics are improved,the problems that manual statistics is low in efficiency and a traditional vegetation identification method is low in identification precision are avoided, and the labor cost is greatly reduced.

A character recognition device includes circuitry that is configured to remove duplicate successive points of a plurality of points in a handwritten stroke to form an enhanced handwritten stroke; space the plurality of points a uniform distance apart; detect primary strokes and secondary strokes of the enhanced handwritten stroke; merge the primary strokes; generate a primary merged stroke; extract raw point-based features from local features of the primary merged stroke; extract statistical features from computed statistics associated with the raw point-basal features to form primary merged stroke features; train and classify data from the primary merged stroke features and secondary stroke features to form stroke models; determine a plurality of primary merged stroke model candidates from the stroke models; compute a likelihood value for a combined set of primary stroke candidates and a set of secondary stroke candidates; and determine the handwritten stroke from the computing.

A perplexity calculation device 500 includes: a weight coefficient calculating part 501 for, with respect to each of a plurality of text constituent words constituting a text, calculating a weight coefficient for correcting a degree of ease of word appearance having a value which becomes larger as a probability of appearance of the text constituent word becomes higher based on a statistical language model showing probabilities of appearance of words, based on word importance representing a degree of importance of the text constituent word; and a perplexity calculating part 502 for calculating perplexity of the statistical language model to the text, based on the calculated weight coefficients and the degrees of ease of word appearance.

The invention discloses a hospital medical record large text intelligent variable software technique method, which belongs to the technical field of automatic management system generation. In many years, software development has a research and development technique in a fixed format, and a customer can not create or change system scheme application during use but can only accept the fixed format, data and algorithm application. Many management requirement statistical data can not realize changed application, the management scheme needs to be changed and updated for the changed application, repeated research and development result in work trouble, human waste and large input loss. The management work method needs to be changed randomly according to requirements, the hospital medical record large text intelligent variable software technique can meet various changed application requirements of the medical record large text management work only, thereby improving the management level, improving the working efficiency and saving the working time. Due to the hospital medical record large text intelligent variable software technique, the customer himself or herself adopts the large text change operation application, and changed application in aspects of a large text format technique, a data technique, a format data combination technique, a window graph technique and a data searching and positioning technique can be realized. The operation is convenient, quick and high in efficiency. The technique of the invention is a comprehensive application technique method for the intelligent management system automatic generation system, and all ideas, the design method and the software technique are originally created.

In one embodiment, traffic data that originates from sensors, cameras, or observations is analyzed. The traffic data is associated with multiple repeating time epochs or intervals. The traffic data is divided into clusters using a clustering technique. The clustering technique may include clusters of variable sizes. Each of the clusters is analyzed to calculate statistical parameters including but not limited to an average value for one or more clusters and a standard deviation value for one or more clusters. In response to a request for traffic data, simulated traffic data may be generated by providing the average value and the standard deviation value for one or more of the clusters.

The invention relates to an information retrieval system and method based on big data. For improving accuracy of a search engine and a user satisfaction degree, and improving a traditional search engine framework, two function modules are added in the traditional search engine, and are respectively a user behavior collection module of a client and a big-data intelligent-analysis module of a server. The user behavior collection module mainly collects records and time stamps of selecting retrieval items in lists returned by the server and clicking corresponding URLs (links) by a user after information retrieval, namely selection and clicking situations of the user in a time period from starting of one time of retrieval until closing of a browser. Functions of the big-data intelligent-analysis module are to calculate and counting collected user behaviors, judge accuracy of retrieval items according to behavior information of clicking retrieval items by the user after a certain query, carry out reranking on the retrieval items, update a database, and provide more accurate retrieval results, which more satisfy the user, for next retrieval.

The invention discloses an orthogonal section method and system for evolution analysis of digital shorelines, which aims to provide a section method which is suitable for different shoreline types and a system which has high degree of automation and reliable calculation results and can effectively show the evolution data information of shorelines. By using the GIS technology and the method of graphics, and by integrating the parameter setting module, section constructing module, calculating and counting module, result showing module, dynamic simulation module and the like to establish the technical scheme, the invention realizes the automation of the whole operation flow. The method and the system of the invention can obviously improve the work efficiency and the operation level, can increase the understandability of the industrial data information, and can provide services for estuarine and coastal engineering, scientific research fields and related decision-making departments.

The invention discloses an Impala cluster log analysis method and system based on Hadoop. The Impala cluster log analysis method based on Hadoop includes the steps that a web server is arranged to generate a new catalogue every day, and multiple log files generated by an Application service system are generated below the catalogues; a system timer CRON is set, log files generated in the day before are input into an HDFS in Hadoop periodically, and log file data is loaded into hive; after hive data is loaded, the system timer CRON is set again, hive metadata is updated periodically, an Impala query program is started, the hive metadata is extracted, and statistic indexes are calculated; after computational statistics, the system timer CRON is set again, statistic index data is output from the HDFS periodically to a database, and subsequent query is convenient. The method and system have the advantage of improving data processing efficiency.