775 results about "Statistical processing" patented technology

A traffic information providing system externally acquires traffic information including information relating to the travel time of a link, calculates a travel time for a non-provision link to which no travel time is provided through estimate / complement operation. The estimate / complement operation is carried out with use of travel times, emergencies, travel times of links in the vicinity of the non-provision link, and so on, obtained in the near past. The system stores and statistically processes the externally-acquired traffic information, and also estimates a travel time in the near future. When there is an abnormality in the acquired traffic information, the system deletes the abnormality, regards the information as a non-provision link, calculates a probability distribution of travel times of links, calculates a probability distribution of travel times of the entire route made up of a plurality of links, and also calculates a probability for a specific travel time range.

A document organizing apparatus performs a statistical process and a character string process for keywords of documents, extracts an equivalent relation, a hierarchical relation, and an associative relation between keywords, and automatically creates a directory file with links of these relations. The user searches documents using the links of the directory file.

A statistical processing system includes a server operably configured with program instructions implementing a plurality of statistical models to at least one of (a) predict a health outcome based on questionnaire responses, (b) assist a patient's choice of therapeutic modality based on questionnaire responses, and (c) assess a health risk or status based on questionnaire responses. Also provided is a research agency communicating with the server and contracted to provide the statistical models using a visual interface communicated by the server. The server is configured to analyze requests received from users relating to a plurality of said statistical models to reduce redundancy in requests for patient data.

The invention provides a platform technology with rich ability to flexibly perform, create, deploy, maintain, and update a wide range of panels, assay, array, and / or sequence of tests for a wide range of substances and pathogens. The invention provides a unifying framework for widely-ranging miniature sensor implementation, fluidic / gas interfacing, electrical interfaces and optical interfaces, and further by collocating, allowing the integration a large number highly-selective sensors and chemical sensors—together as needed with appropriately selected supplemental sensors (for example temperature, pH, selective ions, etc.), into a common readily-manufacturable framework. The diverse sensor arrays give rise to statistical enhancing through novel statistical processing approaches. The invention is deployable and useable in a wide range of situations previously unavailable, and addresses many otherwise problematic aspects of field testing for food safety, water safety, epidemic outbreaks, routine diagnosis, and disease monitoring.

A novel wireless tracking system is disclosed for determining a location of an 802.xx compatible mobile tag or other 802.xx compatible wireless device located within the wireless tracking system. The mobile tag or wireless device communicates with the wireless tracking system using data packets in accordance with predetermined wireless protocols. A plurality of location sensors receive the data packets and provide angle of arrival and intensity information to a wireless tracking system server which performs statistical processing on this information and determines the location of the mobile tag or other wireless device within the wireless tracking system.

A method, system, and computer program product for performing oilfield surveillance operations. The oilfield has a subterranean formation with geological structures and reservoirs therein. The oilfield is divided into a plurality of patterns, with each pattern comprising a plurality of wells. Historical production / injection data is obtained for the plurality of wells. Two independent statistical treatments are performed to achieve a common objective of production optimization. In the first process, wells and / or patterns are characterized based on Heterogeneity Index results and personalities with the ultimate goal of field production optimization. In the second process, the history of the flood is divided into even time increments. At least two domains for each of the plurality of wells are determined. Each of the at least two domains are centered around each of the plurality wells. A first domain of the at least two domains has a first orientation. A second domain of the at least two domains has a second orientation. An Oil Processing Ratio is determined for each of the at least two domains, then an Oil Processing Ratio Strength Indicator is calculated. At least one Meta Pattern within the field is then identified. An oilfield operation can then be guided based either on the well and / or pattern personality or the at least one Meta Pattern.

A measuring apparatus for measuring quality of a network accurately measures a number of times of a data loss even if all the packets to be measured are not obtained or cannot be obtained. Further, a process load applied to the measuring apparatus is decreased by processing a part of the packets to be measured.The measuring apparatus, which measures quality of a network, includes a means for estimating a sampling rate from a number showing sequences stored in packets and a number of received data and a means for estimating a data loss, which would be measured when all the packets were obtained, from a result of sampling measurement by carrying out a differential process and a statistical process using the sequences in the packets, thereby the measuring apparatus measures a number of times of the data loss in the sampling measurement.

A route processor computes a plurality of travel routes using map information on the basis of current-position information and destination information. A travel route is set according to VICS data and traffic-congestion prediction information obtained by statistically processing the past traffic condition based on time factors, and a vehicle is navigated on the travel route. When it is determined that there is a change in travel smoothness such as a congested traffic or a heavy traffic on the travel route, the required time for the travel route and detouring travel routes is computed, and percentage is computed so that travel routes with shorter travel time have higher chances to be selected, thereby generating weighting information. On the basis of the weighting information, one of the travel routes is notified. The required time for the respective travel routes can be substantially equalized and thus preventing the concentration of heavy traffic-congestions only on certain roads. Therefore, the navigation for a smooth travel for vehicles in a stable traffic condition can be easily provided.

A navigation device mounted in a vehicle determines a traffic condition when the vehicle travels in a road zone along a facility, and determines whether a payment terminal mounted in the vehicle has made a payment through communication with a facility terminal installed in the facility. If it is determined that a payment has been made through communication, then probe data is generated that associates the traffic condition in the road zone with a payment service of the facility.

The invention relates to the technical field of video image processing and mode identifying. The invention discloses an intelligent management method based on video people number statistics, which includes the following steps: S1: capturing a video flow image as an input image; S2: carrying out the treatment of people number statistics on the input image to obtain the people flow distribution data in the unit time of each area; S3: a control center carries out adjusting and control on the working personnel according to the people flow distribution data obtained in step S2. A corresponding system includes a video collection module and a people number detecting statistics module; wherein, the people number detecting statistics module include a background construction module, a motion detecting module, an area analyzing module and a data statistics module. The method can be used for reasonably arranging the working number of the personnel of different posts according to the people flow statistic in a scene in a unit time, can better and more reasonably save the manpower cost and effectively improve the management level of public areas.

The invention discloses a time series data storage method and apparatus, a time series data query method, apparatus and system, and an electronic device. The time series data storage method comprises the steps of acquiring to-be-stored time series data as original time series data, wherein attributes of the original time series data include a data identifier attribute, a time attribute and a data value attribute; performing statistics processing on the original time series data with the same data identifiers and the time in a preset time interval according to at least one preset time interval, forming a time series data statistics value of at least one time granularity based on the same data identifiers, and storing the original time series data and the time series data statistics values of all the time granularities in a distributed database. By adopting the method, the data storage amount can be effectively reduced, so that the effects of saving storage space and increasing data query speed are achieved; and the time series data is stored in the distributed database, so that the extensibility of the storage space can be effectively improved.

A number of traveling routes are determined by computations, using a route processor and map information on the basis of current position information and destination information. The rating of the current traffic jam or the predicted traffic jam on each of the traveling routes is recognized on the basis of a traffic jam prediction table and a calendar table obtained by statistically processing VICS data and past traffic conditions in terms of temporal elements. The number of traveling routes to which candidate traveling routes are narrowed is increased as the traffic jam rating is raised. Thus, the number of candidate traveling routes from which a user can select the actual traveling route is increased as the traffic jam rating rises in order to accommodate a situation where secondary traffic jams can take place on any candidate traveling route so that it is possible to provide the user with useful traveling route information and appropriate guidance.

The invention relates to a device and method for automatic test and fault diagnosis of a plane audio integrated system, which are used for maintaining the plane audio integrated system of Airbus series and Boeing series. The method comprises the steps of: operating test software by an industrial personal computer to provide a man-machine interaction environment, and carrying out analysis, computation and statistic treatment on acquired data so as to further complete fault diagnosis; compiling a fault diagnosis program according to all circuit diagrams and test point information of the audio integrated system, provided by a CMM (Capability Maturity Model for Software) manual, and clearing up injected data information on faults, excitation, response and the like to form a fault record in a fault dictionary; in the fault diagnosis program, providing the positions of testing points in need of manual measurement and corresponding test information; testing the testing points in need of manual measurement by detection personnel to confirm a fault area, and displaying corresponding diagnosis results. The device and method provided by the invention can commonly meet the requirement of the automatic test for two types of audio integrated systems including the AMU (Audio Management Unit) of Airbus series planes and the REU (Remote Electronic unit) of the Boeing series planes, and are favorable for reducing the labor intensity of maintenance personnel and improving maintenance efficiency.

The invention discloses a high-speed rail large-scale bridge performance evaluation method based on health monitoring data, which relates to the field of bridge engineering detection. The high-speed rail large-scale bridge performance evaluation method comprises the steps of arranging an automatic sensor hardware equipment system on a high-speed rail bridge in an optimized manner, achieving automatic data acquisition, carrying out denoise processing, time domain statistical processing, frequency domain processing and the like on measured data in sequence, and evaluating bridge running safety performance based on the health monitoring data. The high-speed rail large-scale bridge performance evaluation method meets the actual requirements of high-speed rail bridge detection and evaluation, can reflect the running safety of the high-speed rail bridge accurately and timely, and provides important guarantee for the safe running of high-speed trains; the evaluation results obtained through adopting the method are unified with the high-speed rail conventional detection and evaluation results, thereby facilitating the actual application of the method for the bridge managers; and decision-making suggestions for targeted bridge maintenance and repair are made on the basis of the evaluation results obtained through adopting the method, thereby being conductive to implementing timely maintenance and dynamic maintenance, and greatly improving the bridge overhaul efficiency.

In a communication network in which each of plural nodes (110 . . . 120) has an assigned node identifier, a node signature (step 505) is generated by each node from an identifier of a component (e.g., 201) of the node or from statistical processing of information in the node. Each node distributes information data (300) that includes its assigned node identifier and its generated node signature (405). The node signatures in information data at a node having the same node identifier are compared (step 710) to detect whether the node signatures for the same node identifier are different. The operation of the network is modified (e.g., 640, 725, 825 or 915) in response to detection of different node signatures for nodes having the same node identifier. The modification (725) may include removing all but one node of the nodes of the same node identifier detected as having different node signatures from network participation.

Provided is an image search apparatus for searching for a search-target image corresponding to an input image from among a plurality of search-target images. This image search apparatus includes: a characteristic partial image detection unit for detecting a characteristic partial image of each search-target image based on a dissimilarity level of a partial image at a corresponding position among a plurality of search-target images; and a search unit for respectively calculating a level of coincidence between a characteristic partial image of each search-target image detected by the characteristic partial image detection unit and a partial image of an input image, and searching for a search-target image corresponding to an input image from among a plurality of search-target images based on the coincidence level. Additionally provided is an image processing apparatus which stores, in an image database, a plurality of images of the same location that have been picked up by the imaging apparatus. Statistical processing is performed to the plurality of images, using a statistical processing unit. Based on the result of the statistical processing, a representative image selection unit selects, as a representative image, a background image with the lowest dispersion among all pixels as an aggregate of pixels in which the brightness exceeds a prescribed value.

Value-added information is created based on favorite information of a content user. The content is processed according to the generated value-added information. Favorite data indicating operations, such as fast-forward, pause, and rewind operations, performed while the content is being played back, and personal user information, such as the age group, the gender, and the life-style, of the content user are transferred to a server via a network. The server performs statistical processing on the user favorite data to generate value-added information according to the attributes of the user, such as the age group, the gender, and the life-style. Accordingly, the user is able to search for popular titles, play back only popular scenes, and skip uninteresting scenes by using a content playback apparatus.

A fault management apparatus that enables calculation of evaluation values relating to a fault occurring to a management target as objective values without involvement of human judgment is provided. Fault information containing fault content information showing content of a fault occurring to a process in a production line, and detection status information and action content information associated with the fault is stored in a fault occurrence history storage part as a fault occurrence history. A fault extraction part reads the fault occurrence history from the fault occurrence history storage part to extract fault information containing specific fault content information. An influence degree calculation part calculates a degree of influence showing the degree of influence caused by a specific fault by performing statistical processing based on detection status information and action content information contained in the fault information extracted by the fault extraction part.

The present invention discloses post-wavelet analysis treating method and device for electric power transient signal. The treating method for electric power transient signal after wavelet analysis and before feeding to the electric power monitoring center includes the following treatment on wavelet coefficient: the extraction of module maximum and the detection of irregularity; the statistics and cluster analysis of wavelet coefficient; neural network classification; energy analysis; and wavelet entropy calculation. The present invention can extract the characteristic of electric power transient signal for the application in traveling wave ranging, fault recognition, electric energy quality analysis and equipment fault diagnosis in the transmission line of power system.

An identification method and apparatus for paper sheet statistically process information representing characteristics of a bank note, condense these to a smaller number of characteristics, and determine the authenticity of the bank note by using these characteristics. The method for identifying a paper sheet comprises separately carrying out (a) a detecting step and (b) a processing step, which are described below, for a genuine paper sheet note and a paper sheet to be checked, creating reference data based on the detecting step and the processing step carried out for the genuine note, and deter the authenticity of the paper sheet to be checked by comparing the data detected therefrom with the reference data. The identification apparatus for paper sheet, comprises signal creating units D, LD, PD, IV, AD and M, which create a plurality of pattern signals to be checked for a plurality of physical characteristics representing a pattern which is printed on the paper sheet in a predetermined region thereof; a processing unit J1; and a reference data storing unit R and a determining unit J2.

A storage section (160) stores a traffic jam prediction table containing a plurality of date classification IDs for classifying data for predetermined dates and time series data obtained by statistically processing past traffic conditions correlated to the date classification IDs in terms of temporal elements of the dates. A memory (170) stores calendar templates, each containing a plurality of pieces of date information and classification ID numbers, each of which is an ID number that corresponds to the date indicated by one of the pieces of date information and is same as one of the date classification IDs of the traffic jam prediction table. A navigation device (100) has a calendar modifier that appropriately modifies any of the classification ID numbers of the calendar templates.

A defect detecting device includes: a block generating section dividing an inspection image in which a defective region will be detected into a plurality of blocks; an intra-block sum calculating section calculating an intra-block sum for each of the blocks generated by the block generating section, the intra-block sum being a sum of pixel data for pixels in that block; and a statistical processing section and a defect determining section determining whether there exists a defective region by determining through statistical processing whether the intra-block sums have an outlier. Accordingly, the device determines whether there is a defective region in a digital image quickly and using small circuitry.

The present invention provides an apparatus that can estimate the charge / discharge electricity amount without being affected by current measurement error. If specific selection conditions are met, a no-load voltage calculation part (105) takes a plurality of pairs of data consisting of current data I(n) and voltage data V(n) corresponding to the current data and calculates a no-load voltage Vsep as the voltage intercept at a current of zero in a straight-line approximation obtained by statistical processing such as regression analysis using a least squares method with respect to the plurality of pairs of data. In addition, if specific current conditions continue to be met for a certain amount of time, an open circuit voltage calculation part (106) calculates the terminal voltage of the secondary battery as the open circuit voltage Voc. An estimated charge / discharge electricity amount calculation part (114) uses a preset change-in-voltage adjustment constant ΔVbc / adjustment coefficient Kb, change-in-electromotive-force constant Keq and polarization voltage generation constant Kpol to calculate the estimated charge / discharge electricity amount ΔQe as a function of the change ΔVb in the no-load voltage or the open circuit voltage over a predetermined period of time.

A measuring unit obtains measurement data of an object measured on the basis of a signal from a GPS satellite and angular velocity of an object output from an angular velocity sensor. An offset value computing unit estimates a running condition of the object on the basis of the measurement data and the angular velocity. The offset value computing unit sequentially derives temporary offset values while changing combination of the measurement data and the angular velocity in accordance with the estimated running condition of the object and, after that, executes statistical process on the temporary offset values, thereby deriving an offset value. An angular velocity conversion coefficient computing unit sequentially derives temporary angular velocity conversion coefficients on the basis of the measurement data and the angular velocity and, after that, executes statistical process on the temporary angular velocity conversion coefficients, thereby deriving an angular velocity conversion coefficient. An angular velocity converting unit derives final angular velocity on the basis of the angular velocity conversion coefficient, the offset value, and the angular velocity.

The invention relates to a power load forecasting method based on a long-short term neural network, which comprises the steps of S1, performing statistical processing on historical load information, historical temperature information and holiday information of a power grid in a forecast place, dividing the historical load information in every seven days of the power grid in the forecast place intoa group, forecasting the load of the forecast day by inputting 14 pieces of neuron information altogether including the historical load information and holiday information of six days before the forecast day and temperature level information and holiday information of the forecast day so as to serve as training samples, wherein the 14 pieces or neuron information and the training samples constitute a training set; S2, substituting the training set into the long-short term neural network to sequentially perform forward calculation and back propagation training, enabling the error of the training set to be reduced below an error threshold, and obtaining a trained long-short term neural network; and S3, inputting neuron information required by the forecast day into the trained long-short term neural network so as to perform load forecasting on each time point of the forecast day.

The invention provides a method for bus origin-destination (OD) investigation by using mobile phone base station data and operating vehicle global position system (GPS) data, comprising the following steps: 1) collecting mobile phone positioning data and bus GPS data; 2) transferring the mobile phone positioning data into travel information of users; 3) extracting characteristic values from the travel information of the users; 4) analyzing the extracted characteristic values to obtain basic travel characteristics; 5) matching bus travel information with the bus GPS data to obtain bus travel characteristics; and 6) carrying out statistical process on the obtained travel characteristics, and then outputting a population travel characteristic report form. The method is based on the mobile phone positioning data and the bus GPS data and then is used for performing a series of processes on the mobile phone positioning data and the bus GPS data, thereby automatically obtaining a high-quality, high-fineness and large time-span population travel characteristic reform form from a great amount of data, intelligently acquiring the population travel characteristics, reducing manpower and material resource consumption and improving the accuracy and effectiveness of the investigation.

An arc detecting device includes: a detector for acquiring time series data concerning a characteristic quantity, such as a voltage or a current in a circuit, targeted for detecting an arc; a basic data generator for generating basic data made of a plurality of frequency components, through frequency analysis from the acquired time series data; a data processor for statistically processing the generated basic data, thereby converting the basic data to an evaluation value highly correlative to an occurrence of the arc; and an arc judging unit for judging the occurrence of the arc, if the evaluation value exceeds a predetermined arc judgment threshold value. In this manner, the arc detecting device that is capable of effectively detecting the arc in a direct-current power supply circuit is provided.