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71 results about "Computational statistics" patented technology

Computational statistics, or statistical computing, is the interface between statistics and computer science. It is the area of computational science (or scientific computing) specific to the mathematical science of statistics. This area is also developing rapidly, leading to calls that a broader concept of computing should be taught as part of general statistical education.

Hierarchical statistical model of internet reputation

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.
Owner:SOPHOS

Hierarchical statistical model of internet reputation

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.
Owner:SOPHOS

Online car-hailing service demand prediction method based on deep neural network

ActiveCN108985475APrecisely predict demand for ride-hailingForecasting demand for ride-hailingReservationsForecastingWeather factorRoad networks
The invention discloses an online car-hailing service demand prediction method based on a deep neural network. The method comprises the following steps: S1, dividing a region of a city road network, and calculating and counting the network car-hailing demand of each region; S2, designing a prediction model of the demand of the network car-hailing: based on the deep neural network, learning and training the spatio-temporal characteristics of the demand of the network car-hailing, combining the influence factors of the weather factors on the willingness of the network car-hailing users, and predicting the regional demand of the next period of time; S3, according to the historical data, training the prediction model of regional car call demand, and then predicting the demand of network car call in each region by using the trained model. By combining external factors and spatio-temporal correlation, this method uses depth neural network to express the complex non-linear spatio-temporal correlation characteristics of the demand for network car-hailing, and can achieve high prediction accuracy.
Owner:XIAMEN UNIV

System and method for computing analytics on structured data

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.
Owner:IBM CORP

Cooperative spectrum sensing method of low complexity

The invention relates to a cooperative spectrum sensing method of low complexity, belonging to the technical field of wireless communication. Cognitive users participating in cooperative spectrum sensing sectionally decide the energy statistics of the sampling sequence of the signals sent from the authorized users so that the cognitive users send the state information of authorized user signals to a central unit according to the corresponding decision results, and the central unit fuses the state information to acquire the final detection result information of the authorized user signals. The method for calculating the statistics by increasing the sample quantity by all cognitive users participating in cooperative spectrum sensing, is obtained with the minimum computation complexity, has the advantages of same detection performance, good robustness, better feasibility and practicability, and can not be influenced by the environment easily.
Owner:SHANGHAI JIAO TONG UNIV

Video scoring method and device and video system based on film watching behavior of user

The invention discloses a video scoring method and device and a video system based on film watching behavior of a user. The method comprises the steps of counting relevant indexes of all videos within preset time, and cleaning data of the relevant indexes and conducting mapping and converting on the data respectively; obtaining a score of each video according to preset weight, calculating an average score of videos within a scope of statistics and of one affiliation category according to the score of the video as a valid score of the videos, and calculating a valid score of videos which are not clicked out of the scope of statistics according to the affiliation category. According to the video scoring method and device and the video system based on film watching behavior of the user, firstly, various kinds of implied preference operation of the user to the videos are made full use of, the videos which are not clicked within certain time are given certain scores as well, and accordingly all the videos are scored; with the help of video relevance of albums and producers, preference characteristics of a client for actors, the producers, directors and the like are utilized, the accuracy of scoring is improved, and the precision of subsequent recommendation systems is improved.
Owner:FLYING FOX INFORMATION TECH TIANJIN CO LTD

Urban traffic bottleneck mining method

An urban traffic bottleneck mining method includes the following steps that firstly, microwave data and floating car data are cleaned, wherein data interpolation is carried out to solve the data missing problem of the microwave data and the floating car data; secondly, road segment traffic states are estimated by taking set time quanta as time granularity; thirdly, the total occurrence probability of traffic congestion of each road segment in the set time quanta within a statistical cycle is calculated; fourthly, the balance degree of traffic congestion occurring at each day within the statistical cycle is calculated; fifthly, the upper bound of the balance degrees of traffic congestion within the statistical cycle is worked out; sixthly, the normalization balance degree of traffic congestion within the statistical cycle is worked out; seventhly, the severity of traffic bottlenecks is figured out. The urban traffic bottleneck mining method has good reliability.
Owner:ENJOYOR COMPANY LIMITED

Abnormal data detection and modification method based on numerical value relevance model

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.
Owner:NORTH CHINA ELECTRIC POWER UNIV (BAODING)

Dispatching automation simulating training system and method

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.
Owner:STATE GRID CORP OF CHINA +2

Vacancy filling system for measured point data and vacancy filling method

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.
Owner:NORTH CHINA ELECTRIC POWER UNIV (BAODING) +1

Cash management system of automatic teller machine

The invention provides a cash management system of an automatic teller machine. The system is used for assisting a money adding person in performing money adding management. The system comprises the steps of predicting the money withdrawing amount, planning money adding, inquiring and managing money in shortage and selecting the money adding period. According to the cash management system of the automatic teller machine, a seasonal autoregressive integrated moving average algorithm (ARIMA) is adopted for predicting the money withdrawing amount, an optimum money adding amount is estimated through a fluctuating confidence interval, the optimum money adding period is figured out through a cost function analysis model, and the automatic teller machine is managed for money adding through fine computing statistics. By using the cash management system of the automatic teller machine, withdrawing on petty cash can be effectively reduced, and the money transporting efficiency can be optimum.
Owner:ATMU CHINA TECH

Data processing method and device and electronic equipment

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.
Owner:ADVANCED NEW TECH CO LTD

Island micro power grid probabilistic load flow analytic calculation method

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.
Owner:XIAMEN UNIV TAN KAH KEE COLLEGE

Detection of Obscured Copying Using Discovered Translation Files and Other Operation Data

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.
Owner:ROMAN KENDYL A +1

A vegetation planting area identification method and system based on a convolutional neural network algorithm

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.
Owner:成都蝉远科技有限公司

Online character recognition

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.
Owner:KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS

Apparatus, system and method for rapid cohort analysis

An apparatus, system, and method for rapid cohort analysis. In one embodiment, the apparatus includes an interface and a processor. The interface may receive an identifier of a first index attribute. The processor may search the database for a first group of records associated with the first index attribute, search the database for a second group of records, each record in the second group of records sharing a common second index attribute with a record in the first group of records, but not associated with the first index attribute, and calculate a statistic in response to information associated with the first group of records and the second group of records.
Owner:OPTUMINSIGHT

Perplexity calculation device

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.
Owner:NEC CORP

Hospital medical record large text intelligent variable software technique method

PendingCN106683018ASolve various management application requirements that cannot be solvedAddress functional requirementsData processing applicationsPatient-specific dataMedical recordHuman waste
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.
Owner:杨玉海 +1

Information retrieval system and method based on big data

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.
Owner:JINLING INST OF TECH

Orthogonal section method and system for evolution analysis of digital shorelines

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.
Owner:EAST CHINA NORMAL UNIVERSITY

Target advertising

A method and apparatus for using commercial ratings are described including receiving user feedback rating commercials from a plurality of users, collecting commercial related data, aggregating the commercial related data and the commercial ratings, calculating statistics based on the aggregated data and applying the statistics to a default commercial selection algorithm.
Owner:INTERDIGITAL MADISON PATENT HLDG

Impala cluster log analysis method and system based on Hadoop

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.
Owner:YONYOU NETWORK TECH

Self-starting technology based production process quality control method

The invention provides a self-starting technology based production process quality control method. The self-starting technology based production process quality control method includes calling statistic points beyond the range of control chart statistic point standard deviation 2 sigma as warning points, and setting the (m+1) point as a warning point, and subjecting a technological parameter matrix mean value mu to parameter estimation by means of prior m batches of data samples when the statistic points in follow-up samples are calculated, wherein a decision process is out of control if any point in the (m+2) and (m+3) statistical magnitude is also beyond the scope of 2 sigma, otherwise, the technological process is determined to be still in a control state, a formula (1) is used to calculate the statistical magnitude starting from the (m+4) batch of samples, and when the technological process is out of control, the probability that Q control chart statistic points are beyond a control limit is obviously increased. Particularly, when chart run length RL is <=5, a probability mass function of the run length is obviously increased, the probability of introduction of abnormal data is reduced to some extent, performances of the control charts are optimized, and production efficiency is improved.
Owner:XIAN QUANSHI SOFTWARE
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