596 results about "Distribution matrix" patented technology

The invention relates to a road traffic OD information collection system for license plate recognition data, which comprises three subsystems of a roadside data collection subsystem, a roadside communication subsystem and a license plate recognition collection and processing platform subsystem; high-speed communication, transmission and data invocation between the data collection subsystem and the license plate recognition subsystem are finished by utilizing the roadside communication subsystem. The processing method comprises the following working steps from step 1 to step 7: storing and uploading the license plate recognition information of an external field collection section; secondary cleaning and secondary recognition; tracing and updating vehicle routes in real time; processing single-vehicle track tracing and revising single-vehicle OD errors caused by errors generated during the license plate information collection and transmission; counting the number of specific vehicles with the same types, the same starting points and destinations and in the same period when passing through the destinations; classifying and storing the revised OD values according to the information of the statistics periods, the vehicle types, the destinations and the like; and displaying an OD distribution matrix in forms of reports and graphs.

The invention relates to a power quality comprehensive evaluation system in the technical field of the electric power application; in the invention, a power quality collecting module obtains all items of power quality indexes from an electric fence; a power quality index grading module divides the power quality indexes obtained from the power quality collecting module into setting grades according to national standard or international generally recognized requirements; a probability distribution matrix obtaining module obtains probability of the power quality in each grade, and then the probability of the power quality index in each grade is obtained for obtaining a probability distribution matrix; a weight vector obtaining module obtains weight vector of the power quality index; an evaluation quantized value obtaining module obtains the only quantized value of the power quality comprehensive evaluation according to the probability distribution matrix and the weight vectors of all the indexes; a power quality evaluation module compares the only quantized value with the evaluation system for obtaining power quality evaluation result. The system can really reflect the probability characteristics of the power quality indexes and can comprehensively and objectively carry out comprehensive evaluation to the power quality.

The invention provides a light distribution optimization method for two-dimensional reconstruction of a combustion flow field by combining a tunable semiconductor laser absorption spectrum technology and a computed tomography technology. The method comprises the following steps: a light matrix calculation step, a combustion flow field reconstruction step and a light distribution optimization step and particularly comprises the following steps: step 1, discretizing a region to be tested; pre-setting a light space distribution manner and calculating the length of light penetrating through the discretized region to obtain a light distribution matrix; step 2, selecting a suitable absorption spectrum line and calculating a light projection result of an initial gas distribution model; reconstructing temperatures and concentrations of the tested flow field by using an algebra iterative algorithm and calculating a reconstruction error and a standard deviation; and step 3, wholly searching by using a self-adaption simulated annealing method to obtain an optimal light distribution range and partially searching by using a sequential quadratic programming method to obtain optimal light distribution.

A method, apparatus and program product are provided for displaying planned quantities of articles in a computerized allocation system. The method comprises displaying an allocation table having a listing of articles along one dimension and data regarding the articles along another dimension. The data regarding each article includes a total quantity of the article for all stores receiving the article. The method further includes receiving a command to switch to a distribution matrix view of the listing of articles displayed in the allocation table, and displaying the distribution matrix view including a listing of stores along one dimension and data regarding the stores along another dimension. The data regarding each store includes a quantity of each article for the store.

The invention discloses a model method of a traffic prediction. The method comprises the following steps of: (1) establishing a road traffic basic facility geographical information database, storing and updating traffic planning schemes, and establishing intersection delay determination; (2) establishing an urban planning construction geographical information database, storing regulatory detailed plans of each area, and utilizing an original unit method to construct traffic generation cases; (3) calling data of the road traffic basic facility geographical information database and the urban planning construction geographical information database, and utilizing a gravity model method to predict parallel distributed matrixes; (4) constructing a multi-element logit model, and determining the probability distribution for a single person selecting a travelling mode in specific travelling information; and (5) utilizing a capacity-limited multi-path distribution method to carry out traffic distribution. The modeling purpose, method to realization are overall planed, modeling parameter selection, basic data sources and calculation program design are coordinated, and the convenient application and operation of a traffic prediction model system are ensured.

The invention provides a method and device for generating a two-dimension code image. The method includes the steps that the information to be encoded and a background image are obtained, and a two-dimensional distribution matrix is generated according to the information to be encoded; the two-dimensional distribution matrix and the background image are fused to obtain a pre-generated two-dimension code image; the pre-generated two-dimension code image is decoded and grayed so as to omit at least one basic style, and the two-dimensional distribution matrix is updated according to the at least one omitted basic style; the updated two-dimensional distribution matrix and the background image are fused, so that the two-dimension code image is generated. According to the method for generating the two-dimension code image, coverage of the background image is reduced, so that the immersion degree of a two-dimension code in the background image is improved, the background image is highlighted, the completeness of the environmental color of the background image and the sense of harmony of pictures are guaranteed to the maximum degree, and therefore the display effect of the two-dimension code image is enhanced.

The invention discloses a data flow correlation control method and an architecture of a computer numerical control system, namely DRC control technology. In accordance with the generation, transmission and execution of the control information processing flow and based on the movement command of the execution organism, the DRC control technology divides the numerical control technology into three levels, such as a PC system, a data flow controller and an execution organism. The PC system completes the user program compiler, trajectory numerical calculation, data control flow generation, data manifold optimization and data-flow distribution matrix generation, execution program generation, etc in off-line. The data flow controller operates the execution program and distributes movement command in real time. The execution organism carries out the movement command. The DRC control system realizes the real-time control of the soft opening and process parameter of the numerical control system, cancels the real time control function of the interpolation iteration control technology, and substitutes the control method and the architecture of the prior art taking the interpolation iteration control algorithm as core based on the real-time operation system.

The invention discloses a network burst hotspot event detection method based on a topic model, which comprises the following steps of: 1, firstly, carrying out participle treatment on a file data set to obtain a word list, a file word relation matrix, a word file distribution matrix and a word date distribution matrix; 2, screening the data set according to relevant words in an emerging process of network hotspot events and burst characteristics of a file; 3, obtaining characteristic words and characteristic texts of the burst hotspot events through topic modeling; and 4, figuring out attention date distribution of the hotspot events. Compared with the prior art, the invention has the advantages that the topic modeling is carried out by using the topic model, thus a topic event can be more accurately described; and a burst characteristic computing method of words is introduced and then the data set is screened, thus time-unrelated topics are removed through filtering, and an actual burst hotspot event is obtained.

The invention discloses a method for dynamic passenger flow OD estimation of an urban mass transit network. The method comprises: on the basis of historical passenger flow data, with time interval set, a one-way-ticket passenger flow OD matrix with poor passenger flow spatial-temporal distribution stability is improved by using a moving average method and an improved passenger flow OD distribution matrix is generated; a passenger flow diversion matrix is calculated; a dynamic flow relationship between an OD flow and a passenger flow going in or out of a station is constructed by combining a travel time distribution rule of the OD flow; according to the dynamic flow relationship and an in-out passenger flow information uploaded in real time, an OD dynamic estimation state space model is established; the model is solved by using a Kalman filter method; an OD estimation result is corrected by using a standardization method and an optimal estimation value is obtained; and effectiveness of the method is also checked. According to the method disclosed by the invention, statistics is carried out based on in-out transaction data uploaded in real time and historical passenger flow data and a Kalman-filter-based state space model is established, so that real-time passenger flow demand distribution structure can be estimated and a data support can be provided for dynamic passenger flow management of the rail transit enterprise.

The invention relates to a multi-ring matrix burden distribution process for a bell-less top of a blast furnace, belonging to the technical field of burden distribution of blast furnaces. A multi-ring burden distribution process is combined with a burden distribution matrix, and the burden distribution matrix is set according to 9-11 ring sites; generally, 4-6 ring sites are selected for distributing coke, and 3-5 ring sites are selected for distributing ore; the number of turns on each ring site for distributing coke is selected preferably to enable the coke to be laid horizontally; the number of turns on each ring site for distributing ore is selected to control the ore coke ratio on the furnace throat radius, thereby controlling radial distribution of coal gas flow; and the number of turns for distributing coke and distributing ore is generally controlled to be 10-14 turns. The invention can obtain furnace throat coal gas distribution in which coal gas at edges has certain passages and coal gas in the center develops, and the burden distribution is flexible and adjustable, thereby keeping stable and smooth operation of the blast furnace, realizing the purposes of opening the center and stabilizing the edges, improving the utilization ratio of coal gas, reducing the fuel ratio of the blast furnace, and further reducing the production cost.

The invention discloses a method for distributing material for a blast furnace with a high proportion of pellets. The process is as follows: the ore to be fed into the furnace includes pellets and sintered ore; the pellets and coke are mixed into the furnace; When the amount of pellets accounts for 30% to 60% of the total ore, the sintered ore is placed at both ends of the cloth stall, and the other ore is placed in the middle of the cloth stall; when the pellets account for more than 60% of the total ore, the sintered ore is placed The stalls on the edge of the furnace throat, and other ores are distributed in other stalls. The method effectively controls the rolling of the pellets by optimizing the material distribution matrix, and stabilizes the forward movement of the blast furnace while increasing the ratio of the pellets into the furnace. This method can effectively control the rolling effect of the pellets in the furnace when the high proportion of pellets is smelted in the blast furnace, which is conducive to stabilizing the two airflows at the edge and center of the furnace, controlling the reasonable operation of the furnace type, and ensuring the stability of the blast furnace. It has the characteristics of strong operability, simple process and easy realization.

The invention discloses an electric vehicle fast charging station site selection constant volume method based on a travel probability matrix, and relates to the technical field of electric vehicle public charging facility planning, and the method comprises the steps: obtaining road network parameters in a planning area; obtaining an OD travel matrix according to different types of electric vehicleroad traffic flow backstepping so as to obtain an OD travel probability matrix; Monte Carlo method, OD travel probability matrix and improvement speed. The flow model simulates a driving track of theelectric vehicle in one day to obtain a quick charge demand space-time distribution matrix in one day; the space-time distribution matrix of the fast charging demand is analyzed and optimized according to the site selection and constant volume optimization model of the charging station; the charging station position and the charger configuration number are obtained; according to the invention, the electric vehicle fast charging demand space-time distribution matrix is utilized, the Voronoi diagram is adopted to divide the service range of the charging station, the optimal position of the charging station is determined by improving the particle swarm algorithm, and the capacity of each charging station is optimized by utilizing the queuing theory, so that the planning result of the electric vehicle fast charging station is more accurate and scientific.

In a method of managing traffic, routing tables and Use columns are collected from routers included in a network and stored router by router. A calculation table is produced for calculating the number of packets sent. It is determined whether or not a subject router has relayed information, on the basis of the next router listed on the calculation table. If the answer of this decision is positive, a value produced by subtracting the number of packets relayed is used as the number of packets sent between the subject router and the destination network segment. The resultant number of packets is recorded in a router-to-network traffic distribution matrix. All destination network segments belonging to each router are searched for. The data stored in the rows corresponding to the destination network segments are added to each other to thereby produce a router-to-router traffic distribution matrix.

The invention provides an event image resolution enhancement method and system. The method comprises the steps that S1, an event image is divided into the first class of event flow and the second class of event flow; S2, as for each class of event flow, the target event sequence of each pixel is acquired according to the event number distribution matrix and the spike rate function of each class ofevent flow based on a rejection sampling algorithm; and S3, the target event sequences of all the pixels of the first class of event flow and the target event sequences of all the pixels of the second class of event flow are combined so as to acquire the enhanced event image after resolution enhancement of the event image. The event sequence of each pixel of the enhanced event flow correspondingto each class of polarity event flow is sampled through the rejection sampling algorithm so that resolution enhancement of the low-resolution event image can be realized. The blank of the field of event image resolution enhancement can be filled, the resolution of the event image can be effectively enhanced and various application of the event image can be facilitated.

The invention discloses a method for classifying text information, which comprises the following steps: obtaining the word bag information and the word vector information of the first text information; acquiring a topic distribution matrix corresponding to the word bag information via a neural network topic model, wherein the neural network topic model comprises an encoding module and a decoding module and the topic distribution matrix is obtained by encoding the bag information by the encoding module and decoding module in the process of decoding the bag information; generating a second textinformation according to the topic distribution matrix and the word vector information corresponding to the word bag information; processing the second text information by a classifier to obtain a text information classification result, wherein the classifier is trained according to the text information set to be trained. The invention also discloses a server. The invention can be widely used in the application field, and the potential subject distribution of the text information can be accurately learned by using the neural network subject model, the distribution can assist the classificationof the text information, and the credibility of the classification can be improved.

The invention discloses a proportional adaptive filter coefficient vector updating method using coefficient reusing. According to the method, a current filter coefficient vector and each Euclidean norm of last R filter coefficient vector differences to sum-of-squares minimization, under the constraint condition that posteriori error is zero; a diagonal distribution matrix G(n) is introduced, and diagonal elements of the matrix correspond to proportional step size of each coefficient. When the method is applied to estimating a coefficient unknown system, convergence rate is higher and stability maladjustment is lower.

The invention provides an open-loop control method for the rotation speed change of reaction wheels (hereinafter referred to as flywheels) and an unloading method. The open-loop control method for the rotation speed change of the reaction wheels and the unloading method comprise the following specific steps that 1, controlling is conducted through the four flywheels, and the instruction of the magnitude of the reaction wheel control torque of the fourth flywheel is adjusted to be consistent with the magnitude of the theoretical nominal rotation speed friction torque; 2, a control instruction output by a controller is limited within the maximum output torque, the control torque of each flywheel is distributed according to a flywheel distribution matrix, after the control torque of each flywheel is distributed, the flywheel with the maximum output torque is limited within the maximum torque, and the control torque of the other two flywheels is decreased and increased proportionally; 3, the momentum of a synthetic angle of the four flywheels is calculated, and when any axial angle momentum reaches the unloading threshold range and the relationship between the magnetic field intensity and an angular momentum included angle during unloading is met, magnetic torquers are started to be uninstalled; and 4, the magnetic torquer with the maximum unloading capacity is selected to work, and the flywheels are unloaded by adopting a switch control mode.

The embodiment of the invention provides a method and a device for determining pore parameters of rock cores. The method comprises the following steps of respectively scanning a dry rock core and a saturated rock core saturated with formation water by using a computed tomography (CT) technology to obtain the CT value of each section of the dry rock core and the CT value of each section of the saturated rock core; acquiring the pore radius of each section according to a formula shown in the abstract, wherein CTa, r represents the CT value of each section of the dry rock core, CTair represents the CT value of air, C, r represents the CT value of the saturated rock core, CTwater represents the CT value of the formation water, xi represents the pore radius of each section, and the unit of the pore radius is micron; acquiring a pore radius distribution matrix of each section according to the pore radius of each section. Through the method, the throat size distribution of the rock cores can be intuitively reflected on the premise that the external forms and internal structures of the rock cores are not changed; the pore structure distribution of the rock cores is quantitatively characterized; the penetration law of the rock cores is accurately researched.

A differential STBC transmitting/receiving apparatus in a multiple antenna system using eight or less transmit antennas is provided. In the differential STBC transmitting apparatus, a symbol mapper receives binary data and generates a number of symbols from the binary data, each symbol having a number of bits. A space-time block encoder generates an STBC by encoding the symbols. A differential processor differentially encodes the STBC through feedback and delay. A distribution matrix processor substitutes the differentially coded STBC into a distribution matrix preset according to the number of transmit antennas, and outputs the differential STBC code of the distribution matrix to the transmit antennas.

The invention discloses a personalized object recommending method based on object similarity and a network structure. The personalized object recommending method comprises the following steps of 1, defining that a system has n projects and m users, and according to the project purchasing or browsing history of the users, building an n*m adjacency matrix; 2, according to the project information, building an n*m project approximate matrix; 3, calculating an n*n project resource distribution matrix by the adjacency matrix and the project resource distribution process; 4, according to the project resource distribution matrix and the project approximate matrix, calculating the comprehensive n*n project distribution matrix; 5, according to the initial resource distribution result of the first user and the comprehensive project distribution matrix, calculating the final project resource distribution, and according to the final project resource distribution results, descending the projects; 6, recommending the first S unbrowsed/unpurchased projects of the user to the user. The personalized object recommending method has the advantages that the accuracy of recommending results is improved, and the method can be used for recommending books, movies, music and the like.