119 results about "Methods statistical" patented technology

The invention discloses a method and a system for making multi-dimensional analysis to message class service data. The steps of the invention comprise a data collection step and a data integration step; a data conversion and loading module is responsible for converting the data in a middle database into a relational database with star framework characteristic, settles various data to be analyzed of message class service, classifies the data with common or similar characteristics and brings the data into a unified dimension hierachy; the data in the middle database is further cleaned and converted to be processed into another multi-dimensional database; and a data analysis and presentation step is included. The corresponding system comprises a data collection module which is independently arranged, the data conversion and loading module and a data analysis and presentation module. With the invention, the multi-dimensional data model can be shared in similar value-added service system, the development cycle and cost of the system can be reduced. To apply the function of multi-dimensional data analysis possessed by the system established by the model can provide operators and equipment manufacturers with more flexible and convenient data statistic method and decision support.

A method for remote scenes classification comprising the steps of (a) preparing a reference template for classification of the remote scenes via (i) classifying a set of reference scenes via a conventional classification technique for obtaining a set of preclassified reference scenes; (ii) using a first spectral imager for measuring a spectral cube of the preclassified reference scenes; (iii) employing a principal component analysis for extracting the spectral cube for decorrelated spectral data characterizing the reference scenes; and (vi) using at least a part of the decorrelated spectral data for the preparation of the reference template for remote scenes classification; (b) using a second spectral imager for measuring a spectral cube of analyzed remote scenes, such that a spectrum of each pixel in the remote scenes is obtained; (c) employing a decorrelation statistical method for extracting decorrelated spectral data characterizing the pixels; and (d) comparing at least a part of the decorrelated spectral data extracted from the pixels of the remote scenes with the reference template.

The network element management system includes database server and application server. The performance reporting table is set in the database server for use in saving the reported performance data. The method includes following steps: 1) the table for storing different time grain size data is set in database server, and the grain size presents the data reporting time, and there is inclusion relation between grain sizes; 2) The application server periodically merges the reported performance data according to time grain size, and then saves it into grain size data storing table; 3) when the performance statistics is made for mass performance data in the network element management system, the application server retrieves the data storing table relating to grain size according to the grain size required by statistics.

The invention discloses a passenger flow statistics method based on a computer visual perception and system thereof. A video image collecting device can be placed at top end of an entrance or an exit of passages such as airport, subway, railway station, bus station, exhibition and so on to collect video images of passenger flows. A processor processes the video images collected by a computer visual perception algorithm to obtain a characteristic point of the image and to obtain a characteristic point trace by processing continuous image sequences within a period of time. Restricting the characteristic trace in time-space obtains smooth and continuous trace and clusters obtained characteristic traces to obtain number of passenger flows so as to obtain real time and accurate passenger flow information. The invention combines visual device and algorithm of computer to count number of the passenger flow accurately under a compact passenger flow circumstance. The obtained passenger flow information can be used as ground of safety monitor, operation management and line layout.

The invention provides a quality control method of road continuous traffic flow data, and the method comprises the following steps: firstly recognizing a fault stationary traffic data acquiring device by using a pattern recognition algorithm which seals cross sectional flow conservatism and a suspicious stationary traffic data acquiring device; then recognizing road real-time traffic flow data byusing a road traffic flow judgment rule; and finally, completing invalid and missing data by using a distribution value in the same period in the history and the adjacent coil data. The quality control method has the advantages that mass data stored in the existing database can be fully utilized to recognize and repair the fault device and effectiveness of the quality of the real-time data by virtue of a statistic method and a traffic flow theory by using space relation among traffic data, therefore, the effectiveness and integrality of the real-time data can be guaranteed, and a data supportcan be provided for various off-line and real-time applications such as the maintenance of the acquiring device, the traffic monitoring and guidance.

The invention is a laser beam divergence angle testing method based on the micro-lens array, and the invention belongs to the optical field, specifically relating to the laser beam divergence angle testing method. It overcomes the existing deficiencies of the existing beam scattered angle method with larger measurement error and less measurement real-time feature. It includes the following steps: the measured beam is incidence to the telescope system, matching the output beam diameter and the micro-lens array shape, and the micro-lens array contains mXn matrix sub-lens; using micro-lens array to divide the measured beam into the sub-beams, and through CCD to detect the launch angle of each sub-beam, and through statistical method to calculate the measured beam divergence angle, the measurement accuracy reaching 0.1mu rad. Because this method does not require the measurement light spot diameter, it avoids the problem that the light spot diameter is difficult to be accurately measured. This method in the invention is only measuring in the one position of the optical path; therefore the method can facilitate to realize the real-time measurement of the beam divergence angle.

The invention relates to a device for counting regional space population. The device comprises an acquisition module (10), a video processing module (20), a rejecting module (30), a storage module (40), a human body target identification module (50), a data processing module (60) and a data output module (70) which are sequentially connected. A method for counting the regional space population comprises the following steps of: acquiring image information and infrared temperature information of a monitored region simultaneously; according to the infrared temperature information, rejecting targets inconsistent with human body temperature in the monitored region; identifying human bodies in the monitored region; counting the number of the identified human bodies; and outputting a result. The device is simpler than a system and is convenient to use; and the use method can be easily identified by a computer system, the detection speed is quick, the occupied memory is less, and the number of population in a regional space can be effectively, quickly and accurately counted.

A rib image is inferred accurately from a chest image. Rib images are generated by extraction of pixel value components contributing to ribs from values of pixels comprising respective chest images, and rib overlaps at which ribs appear to overlap are detected in the respective rib images. The rib images are normalized so as to cause positions of the rib overlaps detected in the chest images to agree with each other, and the pixel values of the rib images are analyzed by using a statistical method on the normalized rib images. By using a result of the analysis, an inferred rib image is generated by inferring pixel values of a rib region in a chest image of a predetermined subject.

A method is provided for selecting and optimizing an electric drive system by analyzing critical-to-quality subjects of the electric drive system according to Six Sigma theory. The critical-to-quality subjects include weight, volume, reliability, efficiency and cost. Various design approaches may be evaluated to select an optimal design. The design approaches may include electric machine type, cooling system, electrical integration and electrical-mechanical interface.

The invention relates to a method for identifying the flow pattern of the two-phase, which combines the nerval net pattern identifying technology with the traditional time series frequency function statistical method and identifies on line, real time and automatically. The method comprise the following steps: a)processing the flow parameter time series of different flow pattern and getting the characteristic parameters of the frequency function of different flow pattern, b) setting the characteristic parameters as input samples, c) mapping from the measuring space to the flow pattern space by the nerval net identifying technology and identifying the flow pattern.

The invention discloses a template-based statistical method of caption rendering efficiency, and belongs to the technical field of the caption editing and broadcasting of television program making and broadcasting mechanisms in radio and television broadcasting field. The method for assessing the caption rendering efficiency in the prior art is mainly based on the subjective evaluation and has the shortcomings of inaccurate assessment result, heavy workload and the like. The method firstly creates a rendering source model library and a rendering attribute model library according to a plurality of caption templates; caption objects are created according to rendering sources in the rendering source model library and rendering attributes in the rendering attribute model library; all the created caption objects are rendered, the rendering time of each caption object, the total time of the rendering and the total times of the rendering are recorded; and the rendering efficiency is calculated according to the rendering time of each caption object, the total time of the rendering and the total times of the rendering. The use of the method can more accurately calculate the caption rendering efficiency and simultaneously calculate the impact factors of the rendering attributes on the rendering efficiency more accurately.

The present invention relates to a network visit statistical method which is used for the counting of the programs watched by the terminal user in the content distribution network. The content distribution network includes a central node server and a plurality of rim node servers, with the central node server storing all the programs and the rim node servers storing the most popular programs. The method includes the following steps: first, obtaining the actual watching time in each dialogue; second, counting the content marks of the aforesaid programs in each dialogue; last, summarizing all the marks of the aforesaid programs. The network visit statistical method provided by the present invention can reflect the popularity of the programs veritably, and the content distribution network can achieve reasonable distribution of the programs in the network according to the actual statistical result so as to improve the efficiency of the content distribution network.

The invention provides a dynamic multipoint grass variety identification and authentication method based on terahertz time domain spectroscopy. The method comprises the following steps: preparing a standard grass seed sample; respectively detecting the standard grass seed sample and dry nitrogen by using a terahertz time domain spectroscopy device to respectively obtain a terahertz pulse time domain waveform sum of the standard grass seed sample and the dry nitrogen, taking the terahertz pulse time domain waveform of the dry nitrogen as a reference signal, and taking the terahertz pulse time domain waveform of the standard grass seed sample as a sample signal; carrying out data processing on the terahertz pulse time domain waveform of the standard grass seed sample and the terahertz pulse time domain waveform of the dry nitrogen to construct a standard fingerprint spectrum library; and analyzing, calculating and establishing an identification database of unknown grass varieties according to optical parameters of the standard fingerprint spectrum library in combination with a mathematical statistical method, thereby carrying out qualitative analysis and recognition on unknown grass samples. By adoption of the method, the grass varieties can be effectively recognized and detected, the database can also be established for the unknown grass samples, and the unknown grass samples can be quickly distinguished and identified in batches.

The invention discloses a method for monitoring a voltage qualification rate by use of an electric energy metering device. The invention provides a method for monitoring a voltage qualification rate by use of an electric energy metering device in terms of voltage qualification rate monitoring equipment, voltage qualification rate monitoring locations, voltage qualification rate statistical methods, main station construction and the like. The electric energy metering device arranged on a power grid is used as a voltage qualification rate monitoring terminal, and the electric energy metering device is provided with continuous monitoring and a statistical function on voltage deviations caused by slow variations in a normal operation state of a power system. The method for monitoring voltage qualification rate by use of the electric energy metering device has the advantages of low revamping and implementation costs, improved accuracy and objectivity of statistical data on the voltage qualification rate and the like.

The invention discloses a method for setting an intelligent electronic alarm clock based on an applied statistical method and embedded computing. The method comprises the following steps: carrying out data statistic analysis on the basic information of users (possibly comprise the personal information of users, and the weather condition and traffic situation information and the like required by the alarm clock) by the alarm clock so as to obtain an optimal ringing time, and setting three ringing modes, so that the alarm clock is more humanized and intelligentized, thereby solving a plurality of actual problems existing in common electronic alarm clocks; then, optimizing the obtained results, thereby obtaining the work-rest habits of the users, and then optimizing the function of the alarmclock, so that the alarm clock is more humanized and intelligentized.

The invention provides an object statistical method and system based on images. The object statistical method comprises the steps of counting objects to be counted moving in a monitoring region, respectively monitoring part of regions in the monitoring region and the objects to be counted in part of the regions through a plurality of camera devices for monitoring the monitoring region, acquiring images, synchronizing the images in all the regions and splicing the images into a global image corresponding to the monitoring region, mapping the objects to be counted to the global image, identifying the identical objects to be counted, combining the objects, and counting the quantity or the flow of the objects to be counted in the monitoring region by tracking the combined objects to be counted in the global image, so that the monitoring region is enlarged, the repeated objects to be counted are eliminated through combination, and the flow is counted. The limitations, which are caused by the large monitoring region, in the counting of the objects which move wonderingly or do cross-region movement inside and outside the monitoring region in the prior art are eliminated; furthermore, conventional hardware equipment and conventional software systems are used to the maximum extent, and the development and maintenance costs are lowered.

The invention discloses a vehicle parking statistical method based on wireless transmission technology, which firstly stores relevant data of a vehicle in a database of a service center, then a vehicle-mount terminal of the vehicle collects position information and starts flameout signals at regular time to send the information at regular time to the service center that keeps the data, therefore, a vehicle manager can plan a parking scope or appoint parking time scope on a map to make parking statistic by visiting the service center through internet, then the service center shows records that comply with conditions in a way of a table and a map, thus the vehicle manager can directly judge whether the vehicle is parked legally or not. The method uses a GPS positioning system and a wireless transmission mode, which results in the possibility of parking statistics, ensures higher correctness and leads managers of logistic enterprises to easily check whether vehicles under the control have questionable parking records through the internet, thereby realizing the purpose of reducing logistic cost. The invention is applicable for all vehicles.

The invention relates to a method for quantitatively evaluating quality of dairy products and belongs to the field of food science. In the operational method, the mixing synthetic method is utilized to study the quantitative evaluation of the quality of UHT milk, sterilized milk, and fermented milk; three food quality evaluation indexes are selected, and the detection method is standardized; the standardized detection results are subjected to special so as to obtain the combined weightings of color, flavor and texture which are 0.280,0.385 and 0.334 for the UHT milk respectively, 0.240,0.383 and 0.378 for the sterilized milk respectively, and 0.239, 0.383 and 0.377 for the fermented milk respectively; and the index detection of each sample is subjected to positive and zero dimension treatment and mixing synthetic method statistical analysis, and finally the quantitative evaluation result of each sample is obtained. By comparing the evaluation result with the conventional marked evaluation result, the result obtained by the novel method is based on the strict mathematical statistics and realizes overall comprehensive quantization of various indexes, so that the randomness and the blindness are eliminated, and the defects of bigger influence of human factors and stronger randomness existing of the conventional evaluation method are effectively overcome.

The invention discloses an ultra-high frequency partial discharge detection graph characteristic parameter extracting method and an abnormal detection method. The ultra-high frequency partial discharge detection graph characteristic parameter extracting method comprises the steps that the values and coordinates of all data points on an ultra-high frequency partial discharge detection graph are extracted, and the ultra-high frequency partial discharge detection graph is converted into a PRPD data matrix; 2 for the PRPD data matrix, a statistical method is used to extract the characteristics ofa partial discharge pattern, and a feature vector is constructed to characterize the statistical distribution characteristics of the graph to serve as the classification basis for a partial dischargecategory. Characteristic parameters can be directly extracted from the unstructured partial discharge graph, and can be further used for subsequent abnormal partial discharge detection and identification based on the characteristic parameters. The method has a high practical value.

The invention relates to the technical field of sensory evaluation of tobacco products, in particular to an analysis method for optimizing cigarette sensory evaluation. The analysis method mainly comprising the following steps: comparing a test sample with a control sample on the aspects of fragrance quality, smoke feature, taste, style and the like according to a smoking evaluation method, and endowing evaluation indexes of cigarettes with weights according to the comments of smoking evaluation persons and the favorites of consumers; calculating the overall quality of a product and an average value, stability and tendency of the indexes by combining evaluation results of the smoking evaluation persons and a mathematical statistics method, and giving a definite center value, a target value and a lower limit value of the product. The evaluation method contributes to enhancing sensory quality control of cigarette products, and enhancing the quality stability of the cigarette products.

The invention relates to a port-based MAC address number counting method, monitoring various conditions able to cause the change of the number of the MAC addresses, and regulating the number of the MAC addresses according to the types of these conditions. It largely speeds up the counting and enhances the Ethernet exchanger property and uses hardware circuit to realize so as to save large numbers of hardware resources, optimizing the design and reducing the cost. At the same time, it can not only accurately and real-timely count the MAC address number learned by network access device port, real-timely ensures the port safety but also ensure the counting for the MAC address number learned by corresponding port does not influence the other functions of the Ethernet network, i.e. it counts the learned MAC addresses and simultaneously does not influence the normal work of the Ethernet exchanger.

The invention discloses a network data stream statistical method on the basis of a counting bloom filter. The method comprises the following steps of: before the counting bloom filter carries out statistics, configuring parameters which comprise an error-tolerant rate, the total number of streams, the number of hash functions and the number of counters; hashing quintuple information of each data packet into the counters at the corresponding positions by the counting bloom filter; and using the minimum values in the corresponding counters as flow of the corresponding streams. The implementation of the network data stream statistical method has the following beneficial effects that under the condition of the preset number of the streams, rapid statistics of the flow and the number of the streams is implemented by a special parameter setting scheme and through using the counting bloom filter which is easy for hardware implementation; and in the high-efficiency hash setting process, overflow of the counters of the counting bloom filter is prevented by the expanded counters and the requirements for stream statistics and rapid storage of the quintuple information under the general conditions in a high-speed network can be met.