122results about How to "Improve real-time processing performance" patented technology

In a microprocessor that internally has a microprocessor specific secret key, a key management unit is provided to carry out a key registration for reading out from an external memory a distribution key that is obtained in advance by encrypting the instruction key by using a public key corresponding to the secret key, decrypting the distribution key by using the secret key to obtain the instruction key, and registering the instruction key in correspondence to a specific program identifier for identifying the program into a key table, and to notify a completion of the key registration to the processor core asynchronously by interruption when the key registration is completed.

The invention belongs to the field of computer vision and pattern recognition and discloses a moving target tracking method based on an improved multi-example learning algorithm. Firstly, a random measurement matrix is designed according to the compression perception theory. Then a multi-example learning algorithm is used to sample an example in a current tracking result small neighborhood to form a positive package, and at the same time, sampling an example is carried out in a large neighborhood ring to obtain a negative package. For each example, the characteristic of a character target is extracted at an image surface, and the random measurement matrix is utilized to carry out dimensionality reduction on the characteristic. According to the extracted example characteristic, online learning weak classifiers are utilized, and weak classifiers with strong discrimination ability are selected from a weak classification pool to form a strong classifier. Finally, when a new target position is tracked, according to a similarity score of the current tracking result and a target template, the online adaptive adjustment of classifier update degree parameters is carried out. According to the method, a problem that a tracking result in the existing algorithm is easily affected by an illumination change, an attitude change, the interference of a complex background, target fast motion and the like is solved.

The invention discloses a message reliable processing guarantee method of a real-time flow calculating frame based on Storm. The method comprises the steps: 1, in a preprocessing phase, initialization work is carried out on an environment; 2, data which have already been sent and are in a calculating state are tracked in a cluster calculation process; 3, when an emission task monitors a signal that the message processing is successful, tracking information of all sub-tuples which belong to the task in a cache region are emptied; 4, when the emission task monitors a signal that the message processing is unsuccessful, the position of the task producing the processing failure and data to be recovered are located; 5, a message recovery program is constructed according to the tracking information and xml files, the data to be recovered are read from the cache region, and the message recovery program is executed; 6, the cache region is emptied, and a memory space is released. According to the method, when a message is recovered, large-scale repetitive computation existing in a complex topology business is avoided, the calculated amount of message recovery is effectively reduced, the performance of processing data under the whole business scene is promoted, and the low delay requirement of real-time processing can be ensured.

A automatic fire unit based on comprehensive vision sensor comprising microprocessors, video frequency sensors for the surveillance, communication modules used to communicate with the outside world and firefighting nozzles, the firefighting nozzle is connected to drives, the video frequency sensor is a multi-dimensional visual sensors, dispose and analysis images, make a comprehensive judgment through the simple pattern classification, the flame area characteristics judgment, the flame physical characteristics judgment, flame color judgment, the law of flame flashing judgment, flame movement characteristics judgment and judgment of the fire intensity, automatically adjust the nozzles according to flames position and spray extinguishing agent assigned in the vicinity of the fire source. The invention can effectively reduce the false fire alarm rate, inspect and locate accurately, with good real-time performance and automatically control the nozzle spray fire-extinguishing agent to the flames found in the shortest time, the achieved detection and control is simple.

The invention provides signal processing equipment of a PET detector based on a neural network localizer. The equipment integrates and realizes procedures for processing a series of signals from a photoelectric switching signal outputted by a detector to the action position coordinate of the gamma ray counted by a neural network in real time. The equipment comprises a compression read processing circuit to an array pixel signal outputted by a photoelectric switching device, an analog-digital switching circuit, an energy identifying and timing circuit, a proper time judging circuit, a base line recovery circuit, a signal peak value estimating circuit, a neural network real-time computing circuit, a USB interface circuit, etc. Due to the realization of the technology for processing various digital nuclear signals based on FPCA and especially the real-time computing of the neural network, the instantaneity and the integration level of the system are greatly improved. The invention has compact structure, complete performance, strong on-line data processing performance, and can be conveniently assembled into an integral detector module with the PET detector, wherein the detector module is important intermediate equipment for researching and developing novel PET imaging equipment based on neural network positioning.

The invention provides a joint inversion method of dielectric constant and concealed target parameters of homogeneous background media, which is realized by the following ways: firstly setting an estimation interval of a dielectric constant, then computing each estimation value in the interval to generate dictionary matrixes, then arranging the dictionary matrixes in rows to generate a joint dictionary matrix, carrying out optimization solution by utilizing imaging algorithm based on compressed sensing on the basis of the joint dictionary matrix to obtain a joint target matrix, then segmenting and extracting the joint target matrix and simultaneously obtaining the dielectric constant and the imaging results of the detection regions of the background media, thus improving the real-time detecting and imaging capabilities of the ground penetrating radars to a greater extent.

The invention discloses an unmanned aerial vehicle (UAV) data link universal access system based on communication satellites, which is applied in a communication satellite control and management center. The system comprises a multithread multitask processing module, a network distribution module, and an IPC data exchange module, wherein the network distribution module is used for configuring ports and IP addresses for data senders and data receivers in an offline manner; the multithread multitask processing module is used for creating a master control process after data is received from the data senders, the master control process comprises a plurality of threads, the received data is split through the threads, and the split data is repacked into data frame formats required by the data receivers; and the IPC data exchange module is used for scheduling the threads during processes. The system provided by the invention has the advantages that UAV ground stations needn't respectively construct relevant protocol conversion modules, so that the link access efficiency and the UAV interoperability are improved, and communication satellite communication transmission protocol requirements are satisfied.

The invention relates to a pulse wave motion artifact removal method for parameter adaptive optimization VMD, and belongs to the technical field of biomedical signal acquisition and processing. The method comprises the following steps of by optimizing an objective function of variational mode decomposition, evaluating the variational mode decomposition result by adopting a correlation coefficientwith the fusion of the intrinsic mode correlation degree and the central frequency dispersion degree; carrying out parameter adaptive optimization variational mode decomposition on a pulse wave signalto obtain an intrinsic mode [uk] of the pulse wave, and designing a denoising rule according to the relative energy of frequency bands corresponding to different components of the signal to remove the motion artifacts of the pulse wave. Compared with the prior art, the method has the advantages that the quality of pulse wave variational mode decomposition is improved, the effect of removing the motion artifacts is improved, and the data complexity in the process of removing the motion artifacts is simplified.

Provided are an apparatus and method for executing a telecommand on a geostationary satellite, and an apparatus and method for verifying a telecommand execution status on a geostationary satellite ground control system. When a telecommand on a satellite is executed, the satellite generates command execution verification words for the executed telecommand and adds the generated command execution verification words to a telemetry transfer frame, and thus a satellite ground control system can easily verify the telecommand execution. In addition, when telecommand execution result is verified by a satellite ground control system, since an execution result of a time-tag telecommand can be verified without a time delay through command execution verification words provided by a satellite, and a telecommand image DB, a telecommand verifier DB, and a telecommand verifier provided by the satellite ground control system, a series of processes from transmission to verification of a telecommand, in particular a time-tag telecommand, can be automatically processed in real-time without intervention of an operator.

The invention provides a real-time data processing device, method and system based on the Internet of Vehicles. \The device comprises: the application server which is used for processing service requests of the APP side and the Web side; a terminal access service which is used for receiving vehicle information and external information uploaded by a vehicle-mounted terminal, converting the information into the preset message and storing the preset message; the message middleware which is used for pushing the vehicle information and the external information to the streaming computing frameworkand the service processing module; a flow calculation framework for calculating a speed of a moving vehicle based on position data, time data, and road conditions, and comparing the calculated speed of the moving vehicle with a preset vehicle speed to generate a corresponding control command,; the service processing module which is used for tracking and monitoring the moving vehicle in real time according to the received vehicle information and external information; and the data storage layer which is used for storing data. The technical effect of improving the real-time processing capabilityand intelligence can be achieved.

The invention provides an exception handling method and structure tolerant of missing cache and capable of emptying an assembly line quickly. The exception handling method includes the steps that firstly, a false hit state is defined, and the access result of the cache by invalid commands emptied by the assembly line is marked; correct command codes or data words are not guaranteed by the cache under the false hit state, and the corresponding cache information of access addresses is output directly; an assembly line emptying signal is directly acted on the command cache in the command taking operation in the false hit state to enable the false hit state to be selected when the invalid commands have access to the cache; when exception handling begins, data cache is selected and controlled through the assembly line emptying signal and the or logic of a storage access level invalid marking signal; when an exception occurs, the cache enters the false hit state to enable the assembly line to advance continuously. The invention further discloses the structure applying the exception handling method. By means of the exception handling method and structure tolerant of missing the cache and capable of emptying the assembly line quickly, the exception handling speed can be increased, and the real-time performance of the system is improved.

The invention provides a Monte-Carlo location algorithm based on a self-adaptation iteration volume particle filter, and belongs to the technical field of robot location methods. According to the Monte-Carlo location algorithm based on the self-adaptation iteration volume particle filter provided by the invention, the improvement is carried out on the basis of a CMCL (Monte-Carlo location of volume particle filter) algorithm, and the new location algorithm is provided aiming at the problems of high computing capacity and poorer real-time processing capacity existed in a current CMCL algorithm.According to the Monte-Carlo location algorithm based on the self-adaptation iteration volume particle filter provided by the invention, a Gauss-Newton iteration volume Kalman filter is used for generating the volume particle filter with significant proposal distribution; a Kullback-Leibler distance criterion is utilized for enhancing CPF (Continuation Power Flow), so that the particle quantity is self-adaptively selected. According to the Monte-Carlo location algorithm based on the self-adaptation iteration volume particle filter provided by the invention, the limitation of high-order truncation errors of the standard volume particle filter can be effectively avoided, the location error and the algorithm calculation quantity are reduced, and the processing capacity is improved.

The invention discloses a real-time detection and tracking system and method for a point target in a satellite sequence image. The system comprises an image data receiving module, an image frame header detection module, a single-frame image target detection module and a sequence image association detection module, wherein the image data receiving module receives a data package of a preset N-byte length from a satellite infrared image generation system each time and caches the data package in a ring buffer region; the image frame header detection module performs position detection on an initial position and an end position of the image in the ring buffer region and caches frame image data in an image cache region; the single-frame image target detection module is used for processing the image data of the image cache region to obtain suspected target information; and the sequence image association detection module is used for associating suspected target results of multi-frame image detection in time and space, and removing noise points to obtain real target information. According to the system and the method, the module division is optimized, so that the integrity, timeliness and reliability of data processing are ensured.

The invention discloses a high-resolution wide-swath onboard SAR (synthetic aperture radar) real-time motion compensation algorithm which mainly includes an envelop compensation portion and a phase compensation portion. A traditional phase compensation algorithm is improved, and phase compensation can be finished before envelop compensation. Envelop compensation approximate treatment needs to divide distance sub-bands for echo signals after distance compression, so that motion error space varying is reduced. Therefore, interpolation operation of a traditional envelop compensation algorithm is avoided, and envelop compensation is finished by directly multiplying distance frequency domain with linear phase. Finally, distance sub-band images are spliced to obtain an imaging result of a whole swath. By the aid of an improved phase compensation algorithm, signal phase precision is ensured, so that the interpolation operation with large calculating amount can be more effectively avoided by rapid envelop compensation based on the distance sub-bands, and the real-time treatment performance of the algorithm is improved without affecting resolution.

The present invention provides a video object tracking system and method. The system comprises: an image collection module configured to shoot video images; an image transmission module configured toperform input and output of images in the video shot by the image collection module; an FPGA module configured to perform real-time processing of the shooting video images transmitted by the image transmission module and output processed video image data; and a DSP module configured to receive the video image data processed by the FPGA module, perform operation, determine a tracking object and return the related image data after operation to the FPGA module. The FPGA module is configured to perform analyze of transmitted and collected video data signals and send an operation result to the DSPmodule to perform reoperation of an object to determine a concrete tracking path of the object so that the real-time processing capacity of a high-speed moving object in a high-resolution video imageis improved and an operation speed is improved by above 95% compared to that of like products.

The invention discloses a cooperative-target-based real-time global search method for high-speed vision measurement and relates to a marking-point search method. By using the real-time global search method, the problems that in the high-speed vision measurement, the global search process is overlong in time consumption and is sensitive to the resolution of a camera, and the updating rate of a system is limited by the moving speed of the target are solved. In a data preprocessing module, parallelized data are outputted to a data buffering control module and a marking-point real-time detection module simultaneously. After the marking-point real-time detection module detects a marking-point pixel, subsequent related data of marking points are sent to an operating module which is in a multi-production-line structure; and after the transmission of a frame image is ended, coordinates of all the marking points can be outputted, and mass-center data of the marking points are obtained by calculation and is stored into a corresponding cache. The real-time global search method disclosed by the invention has the advantages that the global search process is short in time consumption, good in robustness and insensitive to the resolution to the camera and the moving speed of the target. The real-time global search method is applicable to the image processing field and the vision-measuring field.

The invention discloses a freshness sensitive big data summary information maintenance and aggregate value query method. The method comprises the steps that (1), a time tracker is built for time object data of each time object; (2), time object data to be written in are mapped to the corresponding time trackers according to the time objects, and then the trackers divide the corresponding time object data into multiple time stages and set the error parameters of each time stage; (3), the trackers sample the time object data within the time stage according to the error parameters of each time stage and store the time object data into sample sets corresponding to the time trackers. In the query process, firstly, the corresponding time trackers are positioned according to the keys of the time objects, then the trackers query the time stages in the time trackers according to the query time information, and a query value is returned according to the samples corresponding to the found time stages. The method can effectively manage and query the time object data and support a higher level of subject-oriented computing application.