41results about How to "Best match" patented technology

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 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 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 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.