41results about How to "Best match" patented technology

A user speech analyzing component poses, to a user, question sentences for respective ones of a plurality of attributes, and analyzes an attribute value for each of the attributes from an answer sentence from the user to the sentence question. A user data holding component, as a result of analysis, holds user data that allows the plurality of attributes, and respective user attribute values for the attributes to correspond to one another. A matching component, when an acquisition ratio of the attribute values from the user with respect to all of the attributes is a predetermined value or greater, selects at least one target data candidate that matches each of the attributes and each of the attribute values of the user data, from a plurality of target data. A dialogue control component outputs each of the target data candidates selected, to the user's side.

The invention discloses a method for re-recognizing target in a multi-camera monitoring network. The method comprises the steps of selecting image sequences N pairs of targets between cameras i and j, and marking as a testing image sequence and a reference image sequence; solving brightness transfer functions of the cameras i and j; correcting the color of a testing image to be recognized to reach the same level as that of the reference image sequence through the brightness transfer function; respectively extracting ColorSIFI features of each image in the testing image to be recognized and the reference image sequence, and searching and matching the features; obtaining a salience image according to KNN rules; performing both-way similarity calculation according to the salience image and the ColorSIFI features; treating the reference image corresponding to the maximum similarity to be a matching target of the testing image to be recognized to recognize the target. With the adoption of the method for re-recognizing target in the multi-camera monitoring network, the problem of low target recognition rate due to incomplete utilization of incidence relation of each image in an image data set in the prior art can be solved.

The invention relates to the field of mobile intelligent transportation and provides a self-adaptive online map matching method based on a hidden Markov model. The method provides a self-adaptive online map matching framework based on a hidden Markov model, provides accurate, low-latency and low-energy consumption online map matching services for various track-based application programs and realizes visualization through API provided by the map service provider. The method comprises acquiring trajectory information, inputting the trajectory sequences as input parameters of a matching system, orderly carrying out candidate analysis treatment, probabilistic analysis processing and self-adaptive matching processing on the trajectory sequences to obtain the real-time matching results of the trajectory sequences and feeding back the matching results as output to the desired application program. The self-adaptive online map matching method is mainly used in the mobile intelligent traffic occasions.

The invention provides a method for testing producing profiles of a horizontal well through a coiled tubing optical fiber technology. The method comprises the following steps of type selection of coiled tubings and optical fibers, mounting of the optical fibers penetrating through the coiled tubings, testing operation, mounting and pressure testing operation of the continuous oil pipes, debuggingand rectifying of a data collecting system, putting down of the continuous oil pipes to target positions, determining of testing schemes and relevant parameters, testing of the optical fiber producingprofiles and collecting of data, extracting, dividing, fitting, rectifying and treatment of the data, and analyzing and explaining of the data. According to the method provided by the invention, no logging instrument is arranged, the continuous oil pipes are applied to put down the testing optical fibers to target layers, real-time monitoring of a whole shaft for 24 h is achieved accordingly, theproducing profiles of all tested well sections of the horizontal well and the producing contribution of all the producing layers are obtained, the well diameter limitation of putting down of producing oil pipes or large-drift-diameter bridge plugs in the well shaft can be overcome, or the problem of large construction difficulty of testing of the producing profiles of the large-slope horizontal well is solved.

The invention discloses a method and system for cross-label processing of html rich text data with a format. The received html rich text data with the format are converted into a plain text without the format; service processing is conducted, so that the illegal and illicit unsafe factors such as attack codes, nonstandard writing and sensitive words in the text are eliminated; the processed plain text is restored to the prior format according to the method of best similarity matching effect and converted into correct and safe html rich text data with the format, the html rich text data are displayed on a website, and the safety of the website and the quality of the content are improved.

The invention refers to a compound double-grade smoke desulfurizing and dust eliminating process which can desulfurize sulfur and eliminate dust effectively. It is made up of the first, the second and the third parts: the first part is ceramics multi-pipe dust catcher or electrostatic dust catcher, it carries on the first grade dust eliminating, it eliminates 90-99% dust in the smoke; the second part is venturi drying and absorbing tower, the sulfur in smoke reacts with desulfurizing liquid and is absorbed, realizes the first grade desulfurizing; the third part is bag desulfurizing and dust catcher, it eliminates the resultant in desulfurizing reaction and carries on secondary dust eliminating to the tiny particles in smoke.

The invention discloses a regulating method of the secondary surface of a modified Cassegrain type antenna, mainly solving the problem that the traditional method carries out approximate regulation only along an axial direction or a radial direction. The regulating method comprises the following steps of: carrying out segmented parabola fitting on generatrix discrete points of the primary surfaceof the modified Cassegrain type antenna to obtain a group of segmented standard parabolas; rotating the fitted parabola around a common axis for a round to obtain a group of parabolic tori; establishing an optimized mathematical model to calculate segmented fit parameters by taking that a root-mean-square value of the z direction deviation of nodes of the primary surface relative to the parabolictori is minimum as a target and ensuring that the parabolic tori meet a confocal axis and the length of a focal line is not longer than that of an initial focal line; and calculating the regulating amount of two endpoints of the focal line according to focal length variation amount and vertex coordinates which are included in the fit parameters to direct the regulation of the secondary surface ofthe modified Cassegrain type antenna. The invention has the advantages of accurately positioning the secondary surface under multiple working conditions and enhancing the electrical property of the modified Cassegrain type antenna and can be used for regulating the secondary surface of the modified Cassegrain type antenna, thereby enhancing the electrical property of the modified Cassegrain type antenna.

The invention discloses a real-time dynamic registration method suitable for RGBD-SLAM and a machine readable storage medium. On the basis of the SLAM of the depth camera, edges are extracted by applying phase consistency according to each frame of infrared image and color image provided by the TOF and the camera, then normalization cross-correlation is calculated by adopting a blocking strategy,an optimal matching pair is obtained, and the offset is calculated, so that accurate registration of the infrared image and the color image is realized. According to the invention, real-time registration can be realized, the registration result is accurate, the operation of the SLAM can be guided more correctly, better AR experience can be brought to a user, and the life of people is more convenient.

The invention discloses an operation method and system of an edge computing system and electronic equipment. The operation method of the edge computing system comprises the following steps of: operating the edge computing system; charging mobile equipment, recording the actual electric quantity of the mobile equipment to acquire virtual offset charge; calculating the optimal period frequency of acentral processing unit of the mobile equipment by the electric quantity of the mobile equipment and offloading the optimal transmission power, and calculating the execution cost of task local execution and the execution cost of task unloading execution, and determining the matching decision between the plurality of mobile devices and the plurality of servers and the electric quantity iteration ofthe plurality of mobile devices according to the execution cost of task local execution, the execution cost of task unloading execution and the penalty data. According to the operation method of theedge computing system, the performance of a task computing unloading strategy is greatly improved.

The invention discloses a multi-moving target tracking method based on a three-dimensional layered graph model, and the method comprises the steps: S1, analyzing and detecting the appearance characteristics and moving characteristics of a target and the three-dimensional spatial structure characteristics among the characteristics, and building the target three-dimensional layered graph model of each target region; S2, establishing a detection three-dimensional layered graph model of a detection target in the detection area of the current frame; S3, establishing a prediction three-dimensional layered graph model of the tracking target in the prediction area of the current frame; S4, calculating the matching degrees of nodes, edges and space structures between the detection target in the detection three-dimensional layered graph model and the prediction target in the prediction three-dimensional layered graph model; and S5, carrying out tracking matching on the target between the detection area and the prediction area according to a calculation result of the matching degree. The method can effectively realize multi-target real-time tracking, not only can be applied to most Kinect monitoring scenes, but also can be popularized and applied to the fields of robot target recognition obstacle avoidance, intelligent transportation and the like, and has a relatively good application prospect.

The embodiment of the application provides a target region searching method and apparatus in text recognition. The method comprises: combining characters in a target region image and / or dividing characters in a target region image into at least one character region; for characters identified in the character region, searching characters in each character region in a pre-stored regional database toobtain matching values of each character region with all character regions in the database; and according to the matching values of each character region in the target region image with all characterregions in the database, acquiring optimal matching results of the target region image with all regional sets in the database. Therefore, automatic searching of a target region is realized accuratelyin text recognition.

The invention discloses a multi-column parallel lightning arrester group energy equalization matching method and device and a medium. The method comprises the following steps: determining lightning arrester group parameter requirements and selecting a resistor disc; generating a resistor disc initial matching matrix; determining the overvoltage waveform of the lightning arrester group, calculatingthe current waveform of each column, and calculating the absorbed energy of each resistor disc under the current waveform; removing the resistor discs with large energy absorption deviation; exchanging the position of the resistor disc according to the energy absorption matrix, exchanging the position of the resistor disc with the minimum absorbed energy of the current maximum column with the position of the resistor disc with the maximum absorbed energy of the current minimum column, iteratively calculating and repeating the step; and the more the iteration times are, the more uniform the energy distribution is. The resistor disc matching algorithm based on absorption energy balance is proposed for the first time, the method is suitable for large-scale multi-column parallel lightning arrester matching design, due to the fact that lightning arrester groups at the same position face different working conditions, overvoltage waveforms of different lightning arrester groups can be matched, and the operation reliability of the lightning arrester groups is effectively improved.

The invention discloses a flight track matching method based on a genetic algorithm and the problems of low flight track matching accuracy and a large calculation amount in case of many targets, manydisturbances, and many noises are solved. The method comprises a step of inputting radar and surveillance system ADS-B flight tracks to obtain a set, a step of forming an initial population, a step ofcalculating the individual fitness of the population, a step of carrying out competition selection, a step of carrying out gene crossover, a step of carrying out gene mutation, a step of calculatingthe individual fitness of the population again and judging whether the fitness satisfies an ending condition or not, outputting an optimal result if so, otherwise carrying out a new round of selection, crossover, and mutation, and finally obtaining an optimal flight track matching event set. According to the method, the selection and inheritance mechanisms of the natural world are simulated, poormatching flight tracks are continuously removed, a good match is retained, and the final finding of the optimal result is ensured. The method has good global search ability, small calculation amount and linear controllability, an effect of finding an optimal matching result in a finite time is improved, and the method is used for flight track matching between radar and a monitoring system ADS-B.

The invention relates to the technical field of automobile cooling system matching, and particularly relates to a truck cooling module suspension system performance test and evaluation method. Duringtesting, testing points are a radiator, intercooler four corners and main and auxiliary suspension positions of a cooling module, testing is carried out in a whole vehicle assembling state, testing can be carried out in two states, one state is that a vehicle is in a neutral gear, does not run and has no vehicle speed, and the other state is a vehicle full-load normal driving state. In the two states, a vehicle engine idling operation condition, an engine rated rotating speed operation condition and an engine maximum torque rotating speed operation condition are tested respectively. And the two states are tested through sensors, three working conditions are adopted for each state, data under six conditions are obtained, and then the performance of the cooling module suspension system is evaluated according to the obtained data. According to the method, the performance of the truck matched with different cooling module suspension systems and the influence of the cooling module suspension systems on the performance of the cooling module can be compared and evaluated, and product development is guided.

The invention discloses an artificial intelligence data annotation task allocation method and device, and relates to the field of artificial intelligence data annotation. The method comprises the following steps: taking personalized information of manual annotators as a feature vector of an annotation terminal, wherein the number of the manual annotators is N; obtaining to-be-labeled data, wherein the to-be-labeled data comprises test labeling data and mass production data; equally dividing the test mark data into N test mark sub-data, and sending one test mark sub-data to each marking terminal; under the condition that the test marking sub-data is marked by the marking terminal and a result is returned, outputting by a statistical analysis module to obtain a feature vector of the to-be-marked data; splitting the mass production data into M mass production sub-data; establishing a weighted bipartite graph; calculating a weight value of an edge formed by mass production sub-data endpoints and annotation terminal endpoints, and calculating an optimal matching result of the weighted bipartite graph through a KM algorithm, or performing clustering processing to calculate the optimal matching result of the weighted bipartite graph; and distributing the mass production data to the optimal matching annotation terminal.

The present invention relates to a fuzzy control method for CO2 short-circuiting transfer welding and its welding machine. It is characterized by that it adopts a closed-loop control method combining parameters-matched coordinate control and parameters-regulated fuzzy control, on the basis of the real-time detection on short circuiting transfer frequiency of reflecting stability of welding process, according to the coordinate relationship between all welding parameters and short circuiting transfer frequencies, it makes fuzzy treatment to detected data to define the regulating quantity of all parameters to make real-time regulation to make short circuiting transfer frequency keep stable in a certain range to ensure the optimum matching relationship between all parameters. Said invention possesses the advantages of good parameter matching property, strong anti-interference capacity and stable welding course.

Disclosed are a fault tolerant method for packet transmission of a network node and a network node, which relate to the communications technologies. A network node receives a packet segment sent by a transmit end, determines a fault-containing packet segment in the packet segment, determines a vacant position formed from a missing packet segment after data connection to a correct packet segment, and matches the fault-containing packet segment and the vacant position to form a complete packet without needing retransmission, so that efficiency of communication of a network node is improved, and energy consumption of communication of a network node is reduced.

The invention discloses a voice recognition algorithm for an electric power major. The algorithm comprises an isolated character (word) voice recognition system, a connection character voice recognition system and a continuous voice recognition system. According to the voice recognition algorithm for the electric power major, input voice can be classified according to a certain mode, then an optimal matching result is found out according to a judgment criterion, however, the voice is an analog signal, the time domain waveform of the voice only represents the relation that the sound pressure changes along with time, and cannot well represent the characteristics of the voice. Thus, the sound waveform must be converted into an acoustic feature vector.

The invention relates to a composite two-stage flue gas desulfurization and dust removal purification process for efficient desulfurization and dust removal of dust-containing and sulfur-containing high-dense phase flue gas. It consists of the front part and the first and second parts; the front part is a ceramic multi-tube dust collector or electrostatic precipitator, which performs a first-level dust removal on the flue gas and removes 90% to 99% of the dust in the flue gas; the first part is Venturi In the drying absorption tower, the sulfur dioxide in the flue gas reacts with the desulfurization liquid and is absorbed to realize primary desulfurization; the second part is a bag type desulfurization dust collector, which removes the desulfurization reaction products and performs secondary dust removal on the fine particles in the flue gas; The sulfur dioxide gas that has not been removed from the flue gas realizes two-stage desulfurization; the advantages of the invention are: simple process flow, optimal matching combination of equipment, low calcium-sulfur ratio, high desulfurization and dust removal efficiency, small system footprint, and less maintenance workload , Low operating costs and so on. The induced draft fan does not carry water and sticky dust, the exhaust gas temperature is high, and there is no steam "white fog" phenomenon. The desulfurization product is dry powder, which is convenient for storage, transportation and comprehensive utilization.

The invention discloses a hybrid cloud storage architecture system, comprising: a public cloud, a private cloud and a physical cloud, the public cloud, the private cloud and the physical cloud are respectively connected to a server, and the public cloud, the private cloud and the physical cloud are connected The respective data source information is sent to the server; at least one server provides a service portal based on the information technology infrastructure library ITIL through the establishment of the configuration management database CMDB, and combines the data source information in the public cloud, private cloud and physical cloud with the CMDB Attributes of record sources contained in , are merged into one view to realize unified management of cloud resources. The present invention mixes the public cloud and the private cloud, which can effectively reduce the cost. Both the public cloud and the private cloud can be used, so that the enterprise can put the application program and data on the most suitable platform to obtain the best matching combination. Reached the purpose of not only saving money but also being safe.

The invention relates to a rock and explosive matching optimized blasting test method. The method includes: step shallow hole blasting funnel test and explosive and rock matching optimum analysis. The shallow hole blasting funnel test is carried out in a to-be-tested rock or ore area and adopts standard blasting crater test. The explosive and rock matching optimum analysis method includes: calculating the blasting crater volume, rock block average broken granularity, crack box dimension, seismic wave total energy, explosion energy time density and explosion energy utilization, making an explosive and rock matching analysis table, conducting groups of experiments, sorting and scoring the explosive and rock matching analysis table, and then determining the combination with the highest weighting score as the optimal matching of rock and explosive. By adopting the test method provided by the invention, and combining the explosive and rock matching analysis table, optimum matching optimization of different rocks of a mine and optional explosives can be realized.

The invention relates to the technical field of automobile cooling system matching, in particular to a method for testing and evaluating the performance of a truck cooling module suspension system. During the test, the test points are the radiator, the four corners of the intercooler and the main and auxiliary suspension positions of the cooling module. It is carried out in the assembled state of the whole vehicle. It can be tested in two states, one is when the vehicle is in neutral and not driving, No speed state; one is the normal driving state with the vehicle fully loaded. In the two states, test the vehicle engine idling operating condition, the engine rated speed operating condition, and the engine maximum torque operating condition. The sensors are used to test the above two states, and there are three working conditions for each state, and the data in six cases are obtained, and then the performance of the cooling module suspension system is evaluated according to the obtained data. The method of the invention can compare and evaluate the performance of different cooling module suspension systems matched with the truck, and the influence of the cooling module suspension system on the performance of the cold module, so as to guide product development.

The invention discloses a track matching method based on a genetic algorithm, which solves the problems of low track matching accuracy and large amount of calculation when there are many targets, many disturbances, and many mixtures. The implementation steps are: input the radar and surveillance system ADS-B track set; form the initial population; calculate the individual fitness of the population; competitive selection; gene crossover; gene mutation; If satisfied, the optimal result will be output, otherwise a new round of selection, crossover, and mutation will be performed to finally obtain the optimal set of track matching events. The present invention imitates the selection and genetic mechanism in nature, continuously removes poorly matched tracks, and retains better matches to ensure that the optimal result is finally found. The effect of finding the optimal matching result in a limited time is used for track matching between radar and surveillance system ADS-B.

An embodiment of the present application provides a method and device for searching a target area in text recognition, the method comprising: merging and / or segmenting characters in the target area image into at least one character area according to character position information; The characters identified in the character area are searched for the characters in each character area in the pre-stored area database, and the matching value of each character area and each character area in the database is obtained; according to the target area The matching value of each character region in the image and each character region in the database is used to obtain the best matching result between the target region image and each region set in the database. The embodiment of the present application can accurately realize the automatic search of the target area in text recognition.

The invention discloses a low-complexity multicast group decomposition method based on SVC video streams, and relates to the field of multi-rate multicast in mobile communication networks. Firstly, all users in a certain cell are formed into a multicast group, and the CQI values ​​fed back by users are divided into multicast groups. The multicast group is divided into sub-components, and the sub-groups and variable sub-group sets are initialized; then, weights and resources are pre-allocated for each sub-component; in order to achieve the maximum system rate on the basis of ensuring the basic video data transmission of users Each subgroup demodulates the SVC video data with different qualities according to the actual receiving capacity to establish an optimization goal; at the same time, a low-complexity multicast resource allocation algorithm that meets user needs and system resource fairness is proposed, and the objective function is iteratively optimized and output Final result. The invention considers the limitation of the SVC video layer in the process of improving the low-complexity grouping (LCS) algorithm, and introduces a constant value vector to suppress unfair resource allocation; effectively improves system fairness, and balances resource allocation among users.

The invention discloses a double-evaporator air conditioning system. The double-evaporator air conditioning system comprises a front evaporator, a rear evaporator, an electromagnetic valve, a liquid storage device and a compressor, wherein the inlet ends of the front evaporator and the rear evaporator communicate with the liquid storage device through pipelines, the outlet ends of the front evaporator and the rear evaporator communicate with the compressor through pipelines, and the electromagnetic valve is arranged on the pipeline between the liquid storage device and the rear evaporator. Thepipeline where the front evaporator is located and the pipeline where the rear evaporator is located form a parallel pipeline. The double-evaporator air conditioning system further comprises a frontexpansion valve and a rear expansion valve, wherein the rear expansion valve is arranged on the pipeline between the liquid storage device and the rear evaporator, and the front expansion valve is arranged on the pipeline between the liquid storage device and the front evaporator. The rear expansion valve is arranged between the electromagnetic valve and the rear evaporator on the pipeline betweenthe liquid storage device and the rear evaporator. The invention further discloses a matching method of the double-evaporator air conditioning system. The method comprises the steps that the volume Vin the pipeline between a three-way valve and the electromagnetic valve is calculated, and the position where the electromagnetic valve is located is calculated according to the volume V in the pipeline under the condition that the cross sectional area of the pipeline is known.

The invention relates to the technical field of household goods, in particular to a brand new low power consumption power system suitable for an intelligent towel box machine core. The brand new low power consumption power system comprises a deceleration gear set composed of a plurality of transmission gears and a direct current motor for driving the deceleration gear set to rotate, and the directcurrent motor can drive a paper driving structure unit to operate through the deceleration gear set. The brand new low power consumption power system perfectly takes into account the three contradictory requirements of power consumption, the driving speed andthedriving capacity, and is suitable for further applicationand popularization.