216results about How to "Efficient Statistics" patented technology

The invention discloses a vehicle detection system based on binocular stereo vision and a method thereof. The system comprises binocular parallel cameras, a DSP processor, communication and other modules. The system is vertically installed above a lane in a top-down mode so as to carry out real-time detection on road vehicles. The method comprises the following steps of (1) carrying out main point difference calibration on left and right cameras in advance and acquiring an accurate main point difference parameter; (2) collecting left and right images in real time so as to carry out detection and extraction of a foreground moving object; (3) carrying out stereo matching on an extracted and acquired foreground object area and acquiring a current frame parallax image; (4) carrying out subsequent processing on the acquired parallax image and removing a false detection area, simultaneously acquiring a two-dimensional ground plane mapping image; (5) through calculation, acquiring correlation parameters of a speed, a vehicle height, a vehicle model and the like. In the invention, the binocular cameras are used; a stereo vision principle is used so as to acquire depth information of the object; problems that a monocular vision technology is sensitive to light changes and is easy to be disturbed by shadow are solved.

The invention discloses a dense crowd people number counting method and system based on a deep convolutional neural network. The counting method comprises the following steps that: obtaining an original image which contains a dense crowd, dividing the obtained original image into a plurality of image blocks with the consistent size, and recording an original image label to which each image blocks belongs; utilizing the image block and the original image label to which each image block belongs to train the deep convolutional neural network; and utilizing the deep convolutional neural network which finishes training to calculate the people number in each image block, carrying out accumulation on the people numbers in all image blocks, and finally, obtaining all people numbers in the original image. By use of the method, crowd counting accuracy and robustness can be effectively improved.

The invention belongs to a research of realizing green wave band traffic signal lights control based on urban traffic main line soft enclosing area video detection identification. Based on an existing point control and network control signal lights, passing vehicles driven into and out of soft enclosing areas are acquired, counted and analyzed in real time via counting technologies of radar, infrared, sensing, supersonic wave, etc. and technologies of vehicle license plate video identification and the like so that time proportion of a green light of a current crossing is adjusted, and the vehicles driven into the soft enclosing areas and the vehicles driven in straight lines from a former crossing green light can completely pass when the light of the current crossing turns green. The vehicles driven in the straight lines pass the current crossing when the light of the current crossing turns green, and the vehicles can also pass the next crossing with the light is green so that "all the way green" passage of bidirectional vehicle flow driven in the straight lines in main lines with the traffic signal lights is realized. Road segments between crossings are provided with the soft enclosing areas, which is firstly put forward by the invention so that waiting time of the vehicles stopping at the crossing with a red light is reduced, passing capacity of main line roads is enhanced and urban road traffic pressure is alleviated.

The invention discloses a network index prediction method and device based on ARIMA model and a storage medium. The method comprises the steps of: collecting index data of a to-be-predicted index variable in a certain time period as a training data set; taking the pre-processed training data set as input to construct an ARIMA model of network index prediction; and commonly inputting the future time length of the set to-be-predicted index variable and the selected stationary series having passing d-order difference into the ARIMA model, and calculating and obtaining a target prediction value. The change rules of users for wireless network demands are subjected to statistics to predict the change sequence value of an index in a certain time in the future so as to provide more effective datareference for optimizing wireless network resource allocation and performance optimization.

The embodiment of the invention discloses an information managing method, a two-dimension code managing method and relative devices, which are used for improving experience of a user. The method comprises the following steps of: acquiring two-dimension code information of a product, and then acquiring and counting user information of a second user, which corresponds to a source identifier, wherein the two-dimension code information comprises the source identifier and a channel identifier; the source identifier is a two-dimension code identifier or product information on which the product transaction initiated by a first user is based; and the channel identifier is a two-dimension code identifier which is generated after the product transaction is finished and corresponds to user information of the first user.

The invention provides an SPMA-based hybrid channel load statistics method. The method is characterized in that a channel load is acquired from both a physical layer and a network layer; a statistical value for the channel load acquired from the physical layer is used in case of a light load; a statistical value for the channel load acquired from the network layer is used for calibration in case of a heavy load; and if the difference between the two statistical results exceeds a certain tolerance, the statistical value for the channel load acquired from the network layer is used for the calibration. The method provided by the invention has the advantages that channel conflicts can be reduced, and real-time data sending and a higher successful transmission rate for high-priority data can be ensured.

The invention discloses an organ auxiliary positioning segmentation method based on a statistical deformation model. The method comprises the following steps: 1, obtaining CT data of an organism; 2, dividing high and low-comparison organs, selecting training samples in the CT data and extracting corresponding statistical prior information; 3, establishing the statistical deformation model of the low-comparison organs; 4, based on correlation between the high-comparison organs and the low-comparison organs, assisting in positioning initial positions of the low-comparison organs by means of the high-comparison organs; and 5, based on auxiliary positioning, carrying out search segmentation of the organs along a mark point normal direction. By use of the organ segmentation method provided by the invention, the initial positions of the organs can be automatically and rapidly sought, such prior information as the positions, shapes and the like of the tissue organs is integrated by use of the statistical deformation model, segmentation of the organs is rapidly and systemically completed, the image segmentation efficiency is greatly improved, and the method is an effective organ segmentation method.

The invention provides a memory computing-based customizable multimode big data processing system. The system comprises a data storage layer module, a memory-based data sharing and management layer module, a memory computing-based universal execution framework layer module and an access interface layer module, wherein a distributed memory abstraction mechanism, a position-sensing scheduling mechanism and a distributed hybrid column storage mechanism of data are adopted. According to the system, massive data storage is constructed; a cluster concurrent computing-oriented memory data management and sharing framework is provided, and an efficient and customized big data multimode universal processing framework is provided; batch processing and real-time data stream computing are supported; and the support is provided for flexible analysis and deep utilization of the data.

The invention discloses an intelligent double-engine analysis system and an intelligent double-engine analysis method based on column storage, and relates to the field of smart city and big data processing. The system comprises an HBase storage unit, a client and an intelligent SQL (Structured Query Language) router unit. The system realizes the intelligent SQL router unit at a user side; the system adopts the HBase storage unit as a bottom layer data storage unit, and a real-time query engine and a batch analysis engine are built on the HBase storage unit; and the system aims at the data of structurized relational data. The system and the method have the advantages that the real-time simple query can be met; the performance for analyzing large-scale data can be effectively improved; and the statistics and analysis requirements of users on the large-scale data can be met.

The invention relates to a numeralization analytical method for energy saving modification of an existing building, which is characterized by carrying out numeralization analytical experiments and energy saving modification on the existing building, i.e. the numeralization analytical analog technology is utilized to carry out an internal and external environment analog experiment of the existing building to precisely detect the energy consumption of the existing building and determine the energy consumption resource thereof, thus effectively improving and perfecting the energy saving modification of the existing building. The method modifies the existing building by CFD software analog and Ecotect software analog. The method intuitively reflects energy saving effect; and by computer analog calculation, an architect can know the ecotechnology required to be adopted by each room to obtain the prospective energy saving effect.

The invention discloses a method and a device for classifying users according to search log data of a server. The method comprises the following steps: acquiring a query terms used by each of N users during searching from the search log data of the server and b access webpages which are searched according to each query term and are accessed by the users; performing segmentation processing on each query term and the b access webpages which correspond to each query term respectively to obtain c keywords which correspond to each query term; calculating the weights of the c keywords according to the occurrence times of the c keywords in each query term and the b access webpages; establishing a user behavior vector for each user according to the c keywords which correspond to each query term and the weights of the c keywords; calculating the similarity among the user behavior vectors of the N users; classifying the N users according to the calculated similarity.

The invention discloses a system and a method for rural information service and comprehensive management. The system comprises seven parts of a comprehensive management terminal system for rural information, an information management platform system, a distributed database group system, an expert and government agency management system, a network information search engine system, a shared short message platform and a rural comprehensive information website, wherein information communication is realized by the Internet and the 3G network, and seven parts are organically combined by taking the information management platform as the center. In the system, hardware equipment, such as the comprehensive management terminal system for rural information, the shared short message gateway, server and the like, can be used, and the embedded technology, the Internet technology, the distributed database technology, the search engine technology, the information acquisition and automatic classification technology, the multimedia information broadcasting technology, the e-commerce technology and the like are comprehensively integrated. In order to satisfy requirements on information by rural residents, convenient and quick real-time information-driven service and management can be provided, and real and accurate rural information is provided for governments to formulate the policy.

The invention relates to a method and a system for real-time embedded software test result data analysis. The method comprises: a step of loading test result data, which is to call a database operation function to load the test result data to a mySOL database and display the test result data in rows in a list view according to variables; a step of analyzing test result data in a list form based on a list view function; a step of analyzing test result data in a curve drawing form based on a curve display function; a step of reading test result data in real time, completing dynamic playback of the test process and reproducing the test process based on a test process playback function; and a step of generating an exrensible markup language (XML)-based test result analysis report.

The invention provides a method for identifying an economically active population based on big data. The method comprises by using an active data set (namely a communication record between the individual mobile terminal and a fixed position sensor) of an individual mobile terminal within a specified time range and space range, constituting an individual travel trajectory, interpolating the traveltrajectory to expand nodes, and establishing an individual travel trajectory; dividing an individual travel space into a plurality of regions by a spatial clustering method and extracting long-term resident places of the regions; selecting and training the travel trajectory of the sample individual, obtaining the spatial distribution characteristics and related parameters of the travel activitiesof various economically active populations; analyzing the full-sample data to identify economically active population in the sample; finally sampling a fixed proportion for expansion to obtain the real-time economically active population.

The invention discloses a tumor ctDNA information statistical method. The tumor ctDNA information statistical method comprises the following steps: (1) DNA extraction and sequencing, (2) sequence comparison, (3) basic statistics, (4) sequencing batch correction, (5) sequence feature correction, (6) copy number variation detection, and (7) fragment difference statistics. The tumor ctDNA information statistical method takes ctDNA as a detection index, and detection can be carried out by only collecting a small amount of peripheral venous blood of a testee. By the tumor ctDNA information statistical method, it is convenient and simple to collect samples, and a detection range can be expanded to terminal patients who are not suitable for collection of samples of biopsy tissues.

The invention discloses a real-time regional audience rating and audience share statistical system based on an intelligent television and a method thereof. The system comprises a watch information log acquisition module, a log preprocessing module, a log uploading module, a real-time processing platform, a real-time display platform, a user center and a distributed data storage system. The watch information log acquisition module is connected with the log preprocessing module which is connected with the log uploading module. The log uploading module is connected with the real-time processing platform which is connected with the user center. The real-time display platform is connected with the distributed data storage system which is connected with the real-time display platform. Effective statistics can be performed on regional channel audience shares and regional program audience shares so that great basis can be provided to an advertising side and television station advertising pricing.

The invention discloses a demographic method and system based on a face recognition technology. The method comprises the following steps: S1, setting at least one monitoring area; S2, acquiring imagedata and position information of a monitoring area; S3, acquiring face recognition data in the image data; S4, comparing the face recognition data with a preset regional personnel database; S5, afterthe comparison fails, storing the face recognition data into a dynamic personnel database; And S6, comparing the face recognition data obtained in the set time with a dynamic personnel database, counting the comparison success times of the target personnel, and storing the face recognition data in a regional personnel database when the comparison success times exceed a set threshold value. According to the method, through the face recognition technology and the big data real-time calculation technology, face images and face recognition feature data are extracted from a large number of monitoring cameras in real time, statistics and analysis are efficiently and accurately conducted on personnel in a specific area, the labor cost is saved, and the accuracy in the population statistics process is improved.

The invention discloses a method and a system of generating a dynamic data table. The method and the system of generating the dynamic data table adapt to flexible and variable statistic requirements through a dynamic allocating structured query language (SQL) method, deal with a Chinese enterprise statistic table with high individual requirements by means of a self-defined template method, utilize an intermediate cache table technology and permit self-defined generated cache table time, and are capable of effectively summing up a large quantity of data.

The invention discloses a pore character statistics method of a microscopic pore model on the basis of an improved maximum ball method, and belongs to the technical field of geotechnical engineering.The method comprises the following steps that S01, a particle accumulation module is built, and accumulated particle information is output; S02, a pore space of the particle accumulation module is filled with voxel particles; S03, the improved maximum ball method is adopted, a pore of the pore space is reasonably divided; S04, pore characters are counted, wherein the pore characters comprise the pore size, the throat radius and the pore coordination number; S05, pore visualization is conducted, and the pore structure model is generated. According to the pore character statistics method of themicroscopic pore model on the basis of the improved maximum ball method, compared with a test method, numerical simulation has the advantages of being high in repeatability, unlimited to instrument size, low in cost and capable of comprehensively counting various pore characters.

A calls ticket querying system includes one calls ticket querying module, one querying result output module, configuration module; said configuration module, calls ticket querying module and output module interconnected, said calls ticket querying module according to configuration module stored configuration files and user inputted multiple querying condition to make filtering and querying to calls ticket file, output module outputting said calls ticket querying module stored querying result record file content. The present invention realizes multiple condition querying, fast searching and instant outputting result.

The invention provides a processing method and a system for log information. The method comprises the following steps: receiving log information which are transmitted by various processing modules in various business systems by a log server; respectively integrating the log information in each business system to obtain log files which correspond to the business systems one by one; respectively counting the receiving quantity of the log information in each business system; by taking the business system of which the receiving quantity is greater than a first preset value as a target business system, determining a target processing module in the target business system by the log server according to the priority level or the contribution rate of each processing module in the target business system; inquiring the log information which is transmitted by the target processing module in the log files by the log server; processing the log information.

The invention discloses an SEM-EDS combined test method for metal foreign matters in a lithium battery material and belongs to the field of lithium ion battery materials. With the method adopted, theproblem of poor detection result accuracy of an existing SEM detection method can be solved. The method comprises the following steps that: high-purity water and a lithium ion positive electrode material are added into a test bottle, a magnet of which the magnetic field intensity ranges from 5000GS to 6000GS is put into the test bottle, and the high-purity water, the lithium ion positive electrodematerial and the magnet are uniformly mixed; a slurry is poured out, the magnet is taken out, a material adhered to the magnet is washed with the high-purity water, a beaker with the magnet arrangedtherein is subjected ultrasonic washing with an ultrasonic instrument, the magnet is taken out from the beaker, is washed and dried; a magnetic foreign matter on the magnet is adhered to a conductiveadhesive tape; and the form and particle size of the magnetic foreign matter particles are identified through an SEM, the chemical composition and type of the foreign matter particles are determined through energy spectrum analysis, and magnetic foreign matter content statistics is performed according to the determined type, quantity and particle size of the metal-containing foreign matter particles. With the method adopted, trace metal foreign matter particles can be accurately analyzed.

The invention discloses an architecture method and an architecture system for a user-defined worksheet. The statistic function of user-defined fields in the worksheet is set to obtain statistic fields with the statistic function; then, the required statistic field is selected for statistic marking; a statistic template is created according to the statistic mark; finally, data corresponding to the statistic fields subjected to statistic marking in the worksheet is subjected to statistics according to the statistic template; a statistic report form is generated; therefore the effective data statistics and the convenient function setting can be performed on the field contents of the user-defined worksheet; the flexibility of the user-defined worksheet is sufficiently realized; and the applicability is high.

The invention discloses a method for calculating a ring content of IPRAN network access layer equipment, which comprises the following steps of: 1, acquiring IPRAN network resource data, wherein the acquired IPRAN network resource data comprises IPRAN network element information, PRAN relay information and tunnel information; 2, according to an equipment type and network structure information, carrying out layering on the acquired IPRAN network equipment; 3, according to the acquired network element information and relay information, carrying out network connection on a network element, and generating a topological graph of a local IPRAN network; 4, firstly, defining equipment ring formation, and then calculating the ring content of the access layer equipment by the following steps; and 5, automatically carrying out statistics to generate related reports of IPRAN network evaluation. According to the method disclosed by the invention, automatic acquisition of IPRAN resources, automatic generation of a topology and automatic calculation of a link attribute of the network equipment are implemented, and by automatic linkage of the IPRAN equipment and base station equipment, evaluation and analysis of a base station protection attribute can be further implemented.

The invention discloses a traditional Chinese medicine data processing device and method. The method comprises the steps of reading clinical traditional Chinese medicine case data and obtaining traditional Chinese medicine dose data and symptom degree data of all visits in the case data; carrying out normalization processing on the traditional Chinese medicine dose data to obtain standardized traditional Chinese medicine dose data and carrying out standardization processing on the symptom degree data to obtain standardized symptom degree data; calculating change values of the standardized traditional Chinese medicine dose data and the change values of the standardized symptom degree data in all visits in each case data and obtaining object data of each case data according to the relationship between the change values of the standardized traditional Chinese medicine dose data and the change values of the standardized symptom degree data; and mining the object data through an association rule data mining algorithm and obtaining an association rule of traditional Chinese medicine dose changes and symptom degree changes in all visits in each case data. According to the traditional Chinese medicine data processing device and method, effective statistics and analysis of the relationship between the traditional Chinese medicine dose changes and the symptom degree changes in multiple visits in the case data can be achieved.