147results about How to "Increase update frequency" patented technology

This invention discloses a microphone echo elimination device and method, which eliminates echo between microphone and sound circuit, wherein, the device comprises long frame adjust module to combine one self adaptive filter parameter data frame for self adapting filter.

The invention relates to the field of computer application, and discloses a dynamic replica management method based on file heat. The method comprises a main management server and a memory server cluster, wherein the main management server is used for receiving user file access requests and updating access records of the accessed files, and the memory server cluster comprises a plurality of memory servers used for storing files. The dynamic replica management method comprises the specific steps of a multi-frequency file heat computing mechanism, a multi-queue file heat updating mechanism, and a multi-frequency replica execution mechanism. The dynamic replica management method has the advantages that the problems of contradiction between the file heat statistic period and the heat statistic accuracy, and sudden user access are solved effectively, the system spending is reduced greatly, and higher reliability is provided simultaneously.

The invention discloses a method and a system for extended use of quantum keys in an IPSec VPN (internet protocol security-virtual private network) system. The IPSec VPN system comprises at least two IPSec VPN gateways including an initiating IPSec VPN gateway and a responding IPSec VPN gateway as well as corresponding quantum key management terminals. The method comprises steps as follows: through parallel processing of negotiation of the quantum keys and IKE (internet key exchange) negotiated keys, the quantum keys are taken as first session keys for preferential use, and the IKE negotiated keys are taken as second session keys for safety communication. Besides, the invention further provides the corresponding IPSec VPN gateway, the quantum key management terminals and the IPSec VPN system. The quantum keys are taken as the session keys through extended use, so that the session key updating frequency is greatly increased and the safety communication performance of conventional IPSec VPN is guaranteed under the condition that an original IPSec VPN is compatible.

The invention provides a train combined positioning method under a condition of a limited satellite signal. The method can revise bias of an inertial navigation system by using position information provided by a satellite navigation system under the condition of effective satellite positioning, combines train gesture information with output parameter of a wheel sensor, calculates to obtain three-dimensional speed under a navigation coordinate system and reserves information of satellite unlocking. Under the condition of satellite positioning failure, a wheel sensor/ inertial navigation systemis applied to combine and position; a wheel sensor is applied to revise the bias of the inertial navigation system, thus the train combination navigation system can provide positioning information with a certain precision. A high-precision digital track map is used for revising the bias of the train on the track vertical direction, thus the positioning precision of the train is guaranteed. The method can solve the positioning problem of the failure zone of the satellite signal, and carry out system independent switching under different satellite positioning conditions, thus the continuous, exact and reliable train position information can be acquired.

The invention discloses a software menu updating method and a software menu updating device, which belong to the technical field of communication. The embodiment of the invention comprises a state query module and an updating module. The method comprises the following steps of: querying a remote server by using a client, judging whether a menu is required to be updated or not, and downloading a menu updating configuration file if the menu is required to be updated; and updating the menu of software according to menu items and updating rules in the menu updating configuration file. The embodiment of the invention can independently realize menu upgrading without dependence on software version upgrading so as to meet the requirements of high software function updating speed and high menu updating frequency without frequently performing the software version upgrading. The embodiment of the invention can improve the flexibility of a system on the premise of not reducing the sense of experience of a user.

The invention discloses a double-rate Kalman filtering method based on GNSS/INS deep integrated navigation. The method comprises the following steps of 1, building a state equation according to the initial position, the rate and the attitude information of a carrier, and initializing the parameters of the Kalman filtering; 2, performing state prediction updating on M step lengths and obtaining a predicted value of a prior state quantity which is described in the specification; 3 correcting the prior state quantity which is described in the specification to obtain a predicted value of a posterior state quantity which is described in the specification; 4, adaptively updating the errors of the state quantities and a systematic error covariance matrix, and compensating an inertial navigation result by using the predicted value of the posterior state quantity which is described in the specification to obtain the position, the rate and attitude information of the carrier; and 5, updating thepredicted value of a posterior state quantity which is described in the specification after the compensation. The method can reduce a truncation error caused by the low update frequency of GNSS satellite data or the losing lock of the satellite data during a data fusion algorithm of the GNSS/INS deep integrated navigation, and simultaneously solve a navigation positioning error caused by the non-synchronization of INS data and GNSS data.

The invention discloses a path planning method and device for an autonomous vehicle, a vehicle and a storage medium. The method comprises the following steps: when the distance between the vehicle anda target intersection in pre-acquired road-level navigation information is within a preset distance range, acquiring the lane position of the vehicle in the current road through a forward-looking camera; according to the turning information corresponding to the target intersection in the road-level navigation information and the lane position of the vehicle in the current road, determining whether the vehicle needs to change the lane or not; when it is determined that the vehicle needs to change the lane, controlling the vehicle to drive to the target lane according to the mapping relationship between the vehicle and each lane line, and determining a path from the target lane to the target intersection according to the distance between the target road sign corresponding to the target intersection and the target intersection and the distance between the vehicle and the target intersection determined by the forward-looking camera. The method is high in transportability, low in cost andhigh in accuracy.

The method includes steps: adding script engine at client end, and down loading detection script and associated data compiled in bytecode from independent script server; next, adding additional field for holding external plug in attributive information in transferred data packet; then, server end sends down one data to add to the timing signal; finally, decryption function at server end examines operating environment at client end to obtain result whether external plug in is used or not. Advantages are: keeping watch of external plug in strictly and flexible updating.

The invention discloses a multiple AUV cooperative positioning method based on underwater sound double pass range finding, comprising: synchronizing time of all AUV systems; determining the priority of each AUV system, and setting corresponding range finding response delay time according to levels of priorities; when not receiving the underwater sound information of a main AUV, a slave AUV performing dead reckoning according to the measurement information of a self sensor; the slave AUV receiving the underwater sound information of the main AUV, decoding the position information, speed information and time information of information sending time of the main AUV, and then performing range finding on the main AUV; when measuring the distance information between the main AUV and the slave AUV, the slave AUV recording a current time t (n), and reckoning the main AUV position information xc (n) at the current time; and performing cooperative positioning according to the distance information between the main AUV and the slave AUV, and the main AUV position information xc (n), and correcting a self dead reckoning error through the information fusion technology. The multiple AUV cooperative positioning method has the advantages of simple realization, high positioning precision, and small energy consumption.

The invention discloses a method for constructing a core symptom-differentiation relation based on a traditional Chinese medicine knowledge graph. The method comprises the steps of mining and extracting a case set formed of four diagnostic methods information and differentiation factor knowledge elements of medical records of traditional Chinese medicine and auxiliary knowledge elements such as a theory, a rule, a prescription and a drug from literature of traditional Chinese medicine and a disease diagnosis database, establishing a sample relation for each case corresponding to the four diagnostic methods information and differentiation factors through a deep learner; then converting the sample relation into a directed-weighted complex network; abstracting a knowledge element inference relation included by the sample corresponding to each symptom into a directed edge set; and outputting a visual topological graph in a manner of a knowledge map and a knowledge inference network. According to the method, effective information carried by traditional Chinese medicine cases can be fully utilized, feature extraction and self-learning is realized to the maximum extent by use of a deep neural network, the construction of the visual topological graph for the traditional Chinese medicine symptoms and differentiation factors greatly improves the finding efficiency of potential knowledge and lays a foundation for intelligent diagnostic aid decision making of traditional Chinese medicine and recommendation of medicare guiding service.

The invention relates to an active matrix display device (10) having a plurality of pixels (110). The pixels are grouped into pixel groups (R′, G′, B′). Each pixel group (R′, G′, B′) is assigned a specific duty cycle, such that at least two pixel groups are assigned different duty cycles. The device furthermore comprises circuitry (54) for driving each pixel group (R′, G′, B′) at its assigned duty cycle. The invention also relates to the driving of such display devices.

The invention discloses a real-time GNSS/INS (global navigation satellite system/inertial navigation system) combined navigation signal simulator based on a PXI (PCI extensions for instrumentation) bus and relates to a real-time GNSS/INS combined navigation signal simulator in the navigation field. The simulator comprises a time-frequency signal processing unit, a user signal generating unit, the PXI bus, a PXI slot-0 controller, a rubidium clock and the like; the user signal generating unit is composed of multiple frequency-point signal generating modules, a radiofrequency signal combiner, a power divider, a power attenuator and the like. The PXI bus technique is used in system structuring, configurability and extensibility are excellent, the simulator is imparted multi-navigation system multi-frequency GNSS/INS navigation signal simulation capacity by selecting parts, especially the multi-user GNSS/INS combined negation signal simulation output capacity, and the need of the navigation field for real-time testing of GNSS, INS and GNSS/INS combined navigation signals is fully met.

A sensor device includes a sensor (1) section having a plurality of sensor elements (55, 65) sensing a physical quantity regarding a magnetic flux collecting module (20), output circuits (555, 655) generating and outputting output signals (Sd11, Sd12) including data signals respectively corresponding to sensing values from the sensor elements, and an ECU (85) obtaining the output signal. The ECU (85) includes an abnormality determiner (855) identifying an abnormal sensor element. When at least two of the plurality of sensor sections respectively have at least one normal sensor element, a sub-sensor section (65) transmits the output signal (Sd11) therefrom to the ECU (85) at a shifted output timing from an output timing of the output signal (Sd12) from a main sensor section (55). The amount of such a shift of the output timing is shorter than one signal cycle of the output signal.

The invention discloses a cache updating method and a system based on Canal. The cache updating method based on Canal comprises the following steps: S1, an updating diary is generated after a databasechanges a data field, and the updating diary includes a change value of the data field; S2, reading the database by Canal to obtain the update diary; S3, parseing the update journal by Canal to obtain the change value, and sending the change value to the message queue; S4, receiving and sending the change value to the message consuming end by the message queue, receiving and sending the change value to the cache by the message consuming end, and updating the change value by the cache. The invention utilizes Canal and message queue, When updating the saved data in the database, the changes ofthe data is timely and accurately monitored, and the updated data is updated in the cache synchronously, so as to avoid the defect of excessive load on the database caused by constantly querying the database, improve the updating frequency of the cache, and further improve the server and the reading speed of the cache.

In a radio communication, a UE terminal uses a CSI-RS as a reference signal for point selection only in the case of a scenario 4, and uses a CRS as a reference signal for point selection in the cases of scenarios 1 to 3 other than the scenario 4. Through RRC signaling, an eNodeB notifies the UE terminal of the fact that the measurement of a specific cell ID will be performed using a CSI-RS, that is, a cell ID using a CSI-RS as a reference signal for point selection. The operations suppress overhead of reference signals and improve a point selection update frequency.

The invention discloses a method and a device for constructing a high-precision map. The method comprises the steps of performing semantic sensing on one or a plurality of images of an on-vehicle camera from a vehicle based on a deep learning algorithm; performing three-dimensional reconstruction on an attention road sign according to vehicle attitude data and a semantic sensing result; parameterizing a three-dimensional reconstruction result; and adding a parameterizing result into a high-precision map database. The method and the device according to the invention have advantages of greatly reducing manufacturing cost of the high-precision map, facilitating data acquisition mode in a crowdsourcing manner and increasing update frequency of the high-precision map.

The invention discloses a combined navigation method based on an integrated gyroscope free strapdown inertial navigation system and a GPS, and belongs to the technical field of combined navigation. The method disclosed by the invention is mainly characterized by comprising the following steps: firstly, selecting a six-dimensional accelerating sensor as an inertial element for inertial navigation and carrying out strapdown algorithm so as to form the integrated gyroscope free strapdown inertial navigation system; secondarily, combining the strapdown inertial navigation system as a main sub-system with the GPS to form the combined navigation method; selecting a state variable of the combined navigation system to establish a state equation and a measuring equation of the combined navigation system; and fusing information by using a Kalman filter to obtain the optimum estimate of the system so as to correct the navigation parameter value output by the inertial navigation system, thereby obtaining the optimum solution of a carrier navigation parameter finally. The combined navigation method based on the integrated gyroscope free strapdown inertial navigation system and the GPS provided by the invention can improve the precision of each single navigation system and can effectively enhance the comprehensive performance of the navigation systems.

The invention provides a real-time satellite clock error estimation system and method based on a GNSS high precision system. According to the method, data is received by a data reception and reading subsystem and is read in real time, and the data is stored and transmitted to a real-time data pre-processing subsystem; the received data is pre-processed by the real-time data pre-processing subsystem to generate observation data after quality inspection; the observation data after quality inspection is utilized by a real-time precise satellite clock error resolution subsystem to resolve the satellite clock error in real time; after the satellite clock error acquired through real-time resolution is acquired by a real-time precise satellite clock error short-period forecast subsystem, a high-precision short period forecast model is utilized to carry out real-time clock error forecast; the real-time clock error forecast is acquired by a clock error product and process file generation subsystem, the correction information of the broadcast clock error is calculated, and clock error products and the process file are stored in real time. The method is advantaged in that precision of the satellite clock error and the update frequency of the satellite clock error can be improved, and real-time high-precision positioning requirements are satisfied.

Embodiments of the invention disclose a market data updating method and device, terminal equipment and a computer-readable storage medium. The method comprises the steps of obtaining market data; judging the type of market data; when the market data is transaction-by-transaction data, judging whether the generation time of the transaction-by-transaction data is later than the generation time of the latest target market data or not; and when the generation time of the transaction-by-transaction data is later than the generation time of the latest target market data, updating the target market data according to a preset updating period corresponding to the target market data and the transaction-by-transaction data, wherein the target market data comprises ten-gear snapshot data and/or delegation queue data, and the preset updating period is less than 3 seconds. According to the embodiment of the invention, the market snapshot data such as ten-gear snapshots or delegation queues are updated by utilizing the transaction-by-transaction data such that the updating period of the market snapshot data is shortened, and the updating frequency of the market snapshot data is improved.

The invention discloses a management method and system of a portrait label. The method comprises the steps of: collecting original data which include service data, behavior data and backflow data; carrying out data cleaning on the original data according to a preset cleaning condition to obtain the cleaned data; according to the cleaned data, establishing the corresponding portrait model for eachtype of subject; according to the cleaned data and the portrait model, generating a portrait tag of each entity corresponding to each portrait model is generated. The invention provides the functionsof screening and visual analysis of the portrait label, and the use effect data of the label can be returned to the system, so as to help the operation and maintenance personnel of the system to reasonably update, add and delete the label, and improve the accuracy of the label and the use efficiency of the label.

An air traffic control system based on a Beidou short message function belongs to the field of air traffic control and service, and particularly relates to an air traffic control system based on a Beidou short message function. The invention provides the air traffic control system based on the Beidou short message function for settling problems such as limited action distance, incapability of effectively covering middle-altitude air domain and low-altitude air domain, relatively low short message communication updating frequency, single equipment function, low versatility, complicated construction, high price and low guiding capability for service and rescue for universal aviation in existing other air traffic control systems. The air traffic control system comprises Beidou radar on-plane equipment, Beidou radar ground equipment and Beidou control command equipment. The air traffic control system is structurally characterized in that the Beidou radar on-plane equipment performs communication with the Beidou radar ground equipment through Beidou satellite short messages; the signal input port of the Beidou radar ground equipment is connected with the signal output port of the Beidou control command equipment.

The invention relates to an on-line target tracking method based on probabilistic principal component analysis and compressed sensing. A compressed sensing theory is combined with a PPCA (probabilistic principal component analysis) theory to obtain a quite simple target characteristic subspace representation model, and the target subspace representation model is updated on line by the aid of an incremental PCA (principal component analysis) algorithm to enable a tracking algorithm to achieve good real-time performance. Meanwhile, the PPCA theory is applied to computation of visual similarity of a candidate target and the target subspace representation model to obtain a DFFS (distance from face space) and a DIFS (distributed inter-frame space) not just reconstruction errors in PCA, so that visual similarity is computed more accurately, and further accuracy of the tracking algorithm is guaranteed.