254results about How to "Ensure real-time requirements" patented technology

The invention discloses a small target detection method based on feature fusion and depth learning, which solves the problems of poor detection accuracy and real-time performance for small targets. The implementation scheme is as follows: extracting high-resolution feature map through deeper and better network model of ResNet 101; extracting Five successively reduced low resolution feature maps from the auxiliary convolution layer to expand the scale of feature maps. Obtaining The multi-scale feature map by the feature pyramid network. In the structure of feature pyramid network, adopting deconvolution to fuse the feature map information of high-level semantic layer and the feature map information of shallow layer; performing Target prediction using feature maps with different scales and fusion characteristics; adopting A non-maximum value to suppress the scores of multiple predicted borders and categories, so as to obtain the border position and category information of the final target. The invention has the advantages of ensuring high precision of small target detection under the requirement of ensuring real-time detection, can quickly and accurately detect small targets in images, and can be used for real-time detection of targets in aerial photographs of unmanned aerial vehicles.

The invention discloses a time-sensitive network gating mechanism traffic shaping and route planning scheduling method, and relates to the technical field of wired communication networks. The method comprises the following steps of: performing routing and transmission joint scheduling on periodic TC traffic according to real-time requirements and priorities, and performing communication transmission scheduling of non-TC traffic on the premise of not influencing deterministic real-time transmission of the TC traffic; according to a TC queue GCL design and a GCL cycle idle period plan, generating an output queue GCL of each switch port, generating an optimal joint scheduling scheme of mixed traffic transmission based on the optimal communication transmission path set of the TC traffic and the non-TC traffic, generating configuration files of the switch ports and the terminal equipment through related configuration software, and configuring the configuration files to each switch and the terminal equipment. On the premise of ensuring multi-period TC traffic deterministic real-time transmission with different real-time requirements, the communication transmission performance of the non-TC traffic is improved as much as possible, and the problems of communication resource waste and schedulable solution space reduction are avoided.

The invention relates to an image stitching processing system, which belongs to the field of image processing, and is characterized in that an image reading unit, an overlapping region unit, a preprocessing unit, an optimal stitching line unit, a feature location unit, a feature matching unit, and a deformation propagation and image reconstruction unit are arranged in a digital processing circuit, wherein the image reading unit is used for reading two adjacent images from an image sequence; the overlapping region unit is used for acquiring an overlapping region of the two images; the preprocessing unit is used for preprocessing color of the overlapping region; the optimal stitching line unit is used for obtaining an optimal stitching line in the overlapping region; the feature location unit is used for detecting feature points in an optimal stitching line neighbourhood; the feature matching unit is used for matching the detected feature points; and the deformation propagation and image reconstruction unit is used for obtaining a deformation vector of each pixel point of each image, obtaining a gradient field of each image, and reconstructing a stitched image according to the gradient field. According to the image stitching processing system, the optimal stitching line is used as the most important image feature, so that the limitation of a shape of the overlapping region is solved, a lapped seam can be well eliminated in color and structure, and a real-time processing requirement can be met by utilizing an acceleration algorithm.

The invention discloses a stock market investment decision-making method based on network analysis and multi-model fusion. The method includes the steps that fundamental information is grabbed from a network and then network nodes and network connection are constructed; a complex social network model is constructed; an investment portfolio is selected by means of a network analysis method and then data involved in the investment portfolio are input into a multi-model fusion frame, wherein the multi-model fusion frame comprises a plurality of sub-models; all the sub-models conduct market trend prediction with different characteristics according to technical information of different characteristics grabbed in the network generate predicted values of the corresponding sub-models, the predicted values are weighted and summated to obtain a comprehensive market trend predicted value, and then corresponding investment strategies are generated according to the comprehensive market trend predicted value. According to the method, risk factors, which are ignored in general researches, of the investment portfolio are comprehensively considered from multiple angles, real-time requirements of the strategies are guaranteed through the methods such as dimension reduction data preselection of fundamentals and technical feature selection, and consequently the more reliable investment strategies are provided.

The invention discloses a method for file backup recovery based on sector recombination, and aims to achieve the purpose that on the premise that the file data recovery result is correct, the file data recovery is accelerated, and the real-time and accuracy requirements of the recovery are satisfied. The technical scheme of the invention is as follows: obtaining and filtering to get the write operation information conducted by a procedure to all files in a disc; conducting splice type initiative backup according to the file data corresponding to the information; opening space NBS in a local disc to store the backup data in the file original state and the subsequent backup slicing data; and conducting operation level recovery to the served file data when the information system service crashes or is damaged, specifically, selecting all backup slices used for recovering the file and recovering the file through adopting the method of slice data sector recombination. The invention does not need the operation of data copy or move, can greatly increase the speed of data recovery, and has the advantages of both incremental backup mode and log backup mode.

The invention introduces a fish-eye image correction method based on multistep correction, and aims at overcoming the disadvantages of image magnification and loss of edge information caused by a normal correction model in the prior art. A correction model is established based on multistep correction. A size zooming factor, based on a polynomial model, of a fish-eye image is established; the fish-eye image is corrected for the first time by utilizing the size zooming factor; interpolation is carried out on the image corrected for the first time in a neighborhood interpolation method; a division model based on a backward mapping method is established; and via the division model, the image after interpolation is corrected for the second time to obtain a secondary corrected image. The fish-eye image is corrected via the correction model, the problems including loss of edge information, image magnification, distortion and incomplete correction of the corrected images are solved, most information of a fish-eye lens is completely reserved, and the condition that the edge of the image is fuzzy is changed.

The invention describes a robotic hybrid system application frame based on a multi-core processor architecture. In a robotic system which takes an ARM (Advanced RISC Machines) / X86 multi-core processor as a controller, a multi-core parallel processing structure of the ARM / X86 multi-core processor is used for operating the robotic hybrid system application architecture consisting of a real-time operating system, non-real-time operating systems and a system supporting frame on a whole robotic controller so as to provide improved operating system service, wherein the real-time operating system, non-real-time operating systems and the system supporting frame simultaneously operate. In the application frame, one real-time operating system independently operates in one ARM / X86 core, meanwhile, a plurality of non-real-time operating systems operate in other ARM / X86 cores, the operating systems mutually individually occupy processor resources and peripherals, robotic application programs with different real time requirements are independently operated, and the application programs can be used (drawing 1) in a uniform ROS (Robotic Operating System) application node form.

The invention discloses a method for classifying network abnormal events. The method disclosed by the invention comprises the following steps of: firstly, extracting flow characteristic parameters from network flow data; and, determining a historical time window and constructing abnormal characteristic multi-time sequences according to a detected abnormal time point, wherein the accuracy for classifying abnormal events of a backbone network can be effectively improved by sufficiently utilizing the time correlation of a flow behavior; simultaneously, different kinds of abnormal events having similar characteristics can be effectively distinguished by analyzing the similarity between the abnormal characteristic multi-time sequences; and the real-time requirement for classifying the abnormalevents of the backbone network can be ensured by utilizing an information entropy to process mass data.

The invention discloses a 3D face cartoon animation method based on region segmentation and subsection learning. The invention has the following steps of: first obtaining sparse 3D movement capturing data and 3D face surface mesh; next calibrating the control point corresponding to the movement capturing data on the 3D face gridding; separating the rigidity and non-rigidity movement in the movement capturing data, and aligning the movement capturing data and the face model in static state; clustering the acmes of the face model based on the cosine distance of the displacement vector of the movement capturing data and the manifold distance of the 3D face gridding acmes; training the segmented surface patch to be subsection radial basis function; and fusing the border movement via the advanced Voronoi-Cell arithmetic. The invention can execute the automatic regional segmentation to a single face model, and model the face non-rigidity movement via subsection radial basis function to form the face cartoon with the third dimension.

The invention discloses a novel binaural sound source positioning method based on a Bayesian hierarchical mode. Firstly, a reliable frequency band selection mechanism guarantees that a frequency band selected for estimating an interaural time difference is reliable, and estimation accuracy of the time difference is improved; secondly, an interaural intensity difference is used for shrinking a candidate direction set obtained in the first layer; thirdly, the fact that a binaural matching filter is used as novel binaural positioning characteristics is proposed in the third layer, the binaural matching filter describes differences between binaural signals, and the relation between the interaural time difference and the interaural intensity difference can be shown sufficiently; finally, searching space is gradually reduced in a three-layer positioning process, so that the direction with the maximum probability is obtained by adopting Bayesian decision criterions. By means of a hierarchical positioning system, the number of times of characteristic machining can be reduced effectively, time complexity of algorithms is reduced, and the real-time requirement of the sound source positioning system is guaranteed.

The invention relates to an embedded-based open set speaker recognition method and a system thereof, which relates to speaker recognition in the field of voice signal processing. The embedded-based open set speaker recognition method comprises the following steps: firstly, pre-processing and characteristically extracting the voice signals; secondly, taking exercises referencing the speaker voice model; and finally, making the open set mode matching. The recognition system comprises a voice signal processing unit which is respectively connected with a voice signal collecting unit, a data storage unit, a man-machine interface unit and a communication interface unit, a power management module is connected with the voice signal processing unit, and the man-machine interface unit comprises a state indicating module, a keyboard module, a display module and a startup module. The invention has the advantages of suiting different application occasions and raising the security performance of systems. Designing an embedded system performs embedded realization of the open set speaker recognition method. The system has the characteristics of high real-time performance, good recognition performance, low power consumption, low cost, high portability, high popularity, etc.

The invention discloses a low-resolution multi-spectral palm print and palm vein real-time identity recognition method and system. Palm images are collected by the system under the condition of five spectrums, and complementarity of multi-spectrum image information is fully utilized to improve the system recognition rate; meanwhile, palm vein information is collected under the condition of near infrared spectrums so that the system can have the living body detection ability and the counterfeit attack preventing ability of the system can be improved; characteristic extraction speed and other postprocessing speed are improved through the down sampling technology based on bicubic interpolation, and storage space of a characteristic template is saved; characteristic extraction is carried out through a multi-scale multi-directional filter, the influence of lighting changes on characteristic extraction is reduced, and the robustness of the system is improved; a characteristic matrix is coded through a hash table, and system matching speed is further improved; the recognition rate of the system is further improved through the unique fraction-level multi-spectral characteristic fusion method. The system has the advantages of being high in resolution ratio, high in recognition speed, good in stability and expansibility, resistant to counterfeit attack and the like.

The invention discloses a talkback and video data transmitting method based on a wireless local area network, and a talkback commutator, which are realized by adopting a plurality of wireless local area network user terminals, a plurality of wireless local area network wireless access stations, a wireless local area network switch and a talkback and video management server, can provide the characteristics of high connection speed, strong instantaneity, high voice quality, and absolute forced prior communication in priority level for talkback and video data transmission of the wireless local area network user terminals under the condition of keeping the prior functions of data access and transmission of the wireless local area network on the basis of an equipment network and external line transmission system provided by the existing wireless local area network equipment, and have functions of general calling, group calling and notification. Meanwhile, during needing, the communication connection between the wireless local area network user terminals and public telephone communication network users can be realized, so that demands on talkback and video data transmission of the wireless local area network user terminals are met.

The invention is suitable for the field of vehicle detection, and provides a vehicle detection method based on deep learning, and the method comprises the following steps: S1, obtaining a plurality ofimages containing vehicles through a video stream, carrying out the manual marking of the images, and carrying out the dividing of the images into a training set and a verification set of a detectionmodel according to a proportion; S2, constructing a target detection PDN network based on the DDN; S3, performing model training on the target detection PDN network by using a training set, and selecting a model with an optimal performance of a verification set; And S4, on the basis of the optimal model, performing prediction on the GPU server to realize target detection on the video stream. Thetechnical problems that in the prior art, in actual target detection, a video is usually processed, an algorithm is needed to carry out target detection in real time, a small part of researchers' methods meet the requirements on speed, however, with the cost of sacrificing precision, the precision is low, an application cannot fall to the ground, and a large amount of missed detection and false detection cannot be accepted are solved.

The invention discloses a servo system position IP controller model-free self-correcting method based on fractional order. The method includes: setting a reference model, exciting a system to obtain an offline database, initiating the related parameters of the system, updating the database according to input and output data newly collected at a current moment, selecting similar data queues according to a similarity criterion function, selecting the order of a fractional order controller, and using particle swarm optimization algorithm to perform self-correcting on fractional-order IP controller parameters. The method has the advantages that the fractional order feature of the system is considered, performance such as overshoot, rising time, error convergence speed and controller parameter variation is appraised comprehensively, the instantaneity of the system is guaranteed by using the similarity criterion function, the method is unaffected by unmodeled dynamics, and the robustness, disturbance rejection ability and control precision of the system are increased.

This invention provides a low power real-time task scheduling method oriented embedded system for modeling, solution and optimization of real-time task scheduling for low power. It achieves low power consumption by using the technology and Real-time dynamic FM_PM Web tablet model, real-time scheduling. It ensures a real-time function based on the Real-time tasks in the model with a real-time restrict. Meanwhile, the program use of dynamic FM_PM operating systems, real-time processor to adjust to state Energy-saving way to achieve the objective during the process of implementing the mandate.

The invention provides an interruption process device for embedded real-time systems; the device comprises an interruption response module, to perform interruption process after an interruption signal is triggered, in order to trigger a base layer interruption callback process module; a base layer interruption callback process module, to perform process according to interruption types; the interruption process results will be released into an interruption muff-coupling layer awaiting task process module through a synchronism mechanism and a task queue; the interruption muff-coupling layer awaiting task process module, to acquire task under process from the interruption task queue, search a muff-coupling layer callback function list, so as to perform interruption assortment and process. An upper-layered interruption callback initialization module, through upper-layered trigger calling through an embedded real-time operation system, performs initialization and registration operation for a muff-coupling layer callback function list. The invention also provides an interruption process method for embedded real-time systems. The invention can guarantee real-time performances and stability of the system.

The invention discloses an extreme-low-altitude laser radar digital terrain mapping system and an extreme-low-altitude laser radar digital terrain mapping method of a small-sized unmanned helicopter. The system is formed by an airborne system and a ground station system, wherein the airborne system is used for accurately collecting data of each sensor, carrying out synchronization processing on the data of the sensors and navigation control of the unmanned helicopter, and can realize data interaction with data of the ground station system through wireless receiving and dispatching equipment; the ground station system is used for receiving and processing data from an airborne laser radar hardware system or checking and processing a data file in an offline manner; the airborne system is formed by a coprocessor and a main processor; and the coprocessor is used for collecting gesture data and position data of the system or realizing the navigation control of the airborne system. According to the extreme-low-altitude laser radar digital terrain mapping system, a mode of matching the coprocessor with the main processor is utilized so that the requirements of the instantaneity and the stability of the navigation control of the small-sized unmanned helicopter are guaranteed, the system is flexible and the function of the airborne system is conveniently expanded; and the system has the advantages of low power consumption, low cost, high integration, high efficiency and the like.

Using packet switching, the method of packet voice communication can be applicable to united public network in next generation. New layer of data link layer protocol - data link procedure (DLP) is introduced between physical transport network and voice service layer. Using current telephone number as address of voice signal packet i.e. destination address code and source address code of DLP frame realizes forwarding and exchanging voice signal in two layers. Using related signaling implements establishment and expiration of call connection as well as outputs packetized voice signal with certain length periodically. Using DLP carries out signaling information of establishment and expiration of call connection and voice signal packets output periodically. Using safety mechanism, network control management mechanism, flow management mechanism provided by DLP realizes safety management, control management and flow management of network.

The invention relates to a method for realizing a CANopen slave station, which is characterized in that: a hardware platform realized by the slave station is a PowerPC-based processor; a multi-thread system is constructed on an eCos operating system and comprises a CANopen state machine thread, a timer thread and message reading interruption; the state machine thread is used for managing CANopen basic tasks such as switching the state of the slave station, receiving CAN message, receiving and transmitting CAN messages, PDO messages and SDO messages, processing the PDO, SDO, NMT and synchronous messages and the like; and an earliest deadline first (EDF) dynamic scheduling algorithm is introduced into the synchronous PDO messages for transmitting real-time data so as to ensure the requirement of low-priority messages on instantaneity and improve the communication characteristic of a bus. The eCos embedded real-time operating system is applied to the design of the slave station, so the instantaneity and concurrent processing capacity are high; the dynamic scheduling algorithm is introduced into the design of the synchronous PDO messages in the CANopen slave station, so the requirement of the low-priority messages on instantaneity is ensured; and an object dictionary meets the flexible configuration of a network, and objects in the object dictionary are changed according to the dynamic change of a master station.

The invention discloses a token bucket algorithm-based satellite data ground transmission network flow control system, which comprises a token generation module, a token placement module, a token bucket module, a data caching module, and a token request module, wherein the token generation module is used for generating tokens matched with a corresponding flow type according to a preset token arrival rate; the token bucket module comprises n token buckets for storing the tokens; the token bucket module places the generated tokens in corresponding token buckets according to a token placement strategy or discards the tokens when all the token buckets are full; the data caching module stores n flow types, and when any flow type is generated, the token request module sends data packets in the flow type according to a token request strategy or the data packets are stored in the data caching module when no tokens exist. Thus, real-time data can be preferentially sent, a bandwidth as large as possible can be ensured for non real-time data, the transmission performance is optimized, the transmission jitter is reduced, and the sending flow can be controlled as accurately as possible.

The invention relates to a video image mosaic method for adaptive light compensation, belonging to the field of video image processing. Including collecting the video shot by the camera, extracting the image pair of the first frame of the video, extracting the feature points of the video image, finding the matching feature vector pair, eliminating the mismatching feature point pair, calculating the transfer matrix, adaptive light compensation, and video stitching . The advantage is that it can realize seamless, large viewing angle, and real-time video stitching, and can be widely used in fields such as video conferencing, video surveillance, and robot vision.

The invention discloses a disposal for process and interruption in a SMP system. The method adapts separation interrupt handling and process handling on processor grade, processes specially the interruption by using one or a group processors, furthermore, monitors the process and the interruption handling, and dynamic adjusts the number of processors in two group processors according to the load index of the process and the interruption handling. The invention also discloses a handling device for process and interruption in a SMP system. The device comprises interrupted handling module, a process processing module, a process and interruption monitor module. The device ensures the process handling and interruption handling mutual noninterference to improve the hit rate of cache and to ensure the stabilizing ability and actual time character of the system.

The invention relates to a multi-sensor system for an inspection robot and an inspection method. The multi-sensor system is characterized in that a sensor system acquires the current state of the inspection robot and external environmental information and sends the acquired current state and external environmental information to a ground base station; and after receiving the current state of the inspection robot and the external environmental information, which are sent by the sensor system, the ground base station sends a control command to the inspection robot. The problem that comprehensive and accurate environmental information of a power transmission line are very difficult to acquire in the driving process of the inspection robot is solved, and autonomous line catching and dynamic centroid adjustment in the obstacle crossing process of the inspection robot are guaranteed.

The invention discloses a video content comparing method based on a digital signal processor. The method comprises the steps that single-channel video bitstream data and standard video bitstream data are forwarded to DSP modules according to the load balanced scheduling strategy, and the DSP modules obtain the key frame image sequence of the video data and the key frame image sequence of the standard video data; the DSP modules extract the characteristics of the key frame image sequence of the video data and the key frame image sequence of the standard video data according to the improved SIFT algorithm and the TOM algorithm to obtain the feature vector sequence of the video data and the feature vector sequence of the standard video data to determine the synchronous video data and standard video data, and if the similarity of the feature vector sequence of the video data and the feature vector sequence of the standard video data is larger than the preset similarity threshold value, the contents are identical, wherein the video data and the standard video data are synchronous. The method has the advantages that the data are processed in real time, the volume is large, the size is small, the power consumption is low and labor cost is low, and is used for solving the problems that the video processing cannot meet the requirements for real-time performance, the large volume, the small size and the low power consumption.

An ultrasonic excitation method for eliminating the crosstalk of a robot ultrasonic ranging system adopts the pseudo-random pulse position modulation mode for constructing a sole transmitting sequence for each ultrasonic transducer and uses the genetic optimization algorithm for optimizing the time interval between the adjacent pulses in the pseudo-random pulse position modulation sequence, thus allowing the duration of the transmitting sequence of each ultrasonic transducer to be 1.5 to 2ms. The ultrasonic excitation method comprises the following steps: 1. a string of pulse signals X are generated; 2. K groups of different pseudo-random series Psi are generated; 3. the pulse positions in the pulse signals X are respectively modulated by using the K groups of pseudo-random series, thus obtaining K groups of pseudo-random pulse position modulation sequences; 4. the best pseudo-random pulse position modulation sequence of the K groups is obtained; 5. K groups of ultrasonic transducers are respectively excited. The ultrasonic excitation method can lead each ultrasonic transducer to have the sole transmitting sequence, thus fundamentally avoiding the occurrence of the crosstalk; the real-time requirement of the robot navigation can be ensured; the working efficiency of a robot ultrasonic obstacle avoidance system can be effectively improved; and the reliability of the robot ultrasonic obstacle avoidance system can be greatly improved.

The invention discloses a vehicle data transmission method and system. The method comprises the steps of establishing an authentication relationship between a first electronic control unit ECU and a corresponding smart card; when the first ECU transmits a CAN message to a second ECU, sending the CAN message sent by the first ECU to the smart card for encryption, and sending the encrypted CAN message to a bus; and when the encrypted CAN message transmitted on the bus is received, sending the received encrypted CAN message, by the first ECU, to the smart card for decryption and taking data returned by the smart card as valid data. According to the method and the system, in a mode of employing the smart card, the CAN message information of a whole vehicle is encrypted with relatively low cost, the CAN message can be encrypted and decrypted rapidly, the transmission timeliness demand of the data is ensured, the possibility of taking the CAN message information as an attack by an ECU subcontractor is reduced to the greatest extent, and a CAN message protocol is effectively prevented from being utilized by a third party to attack a car.

The invention relates to a transmission line external damage early warning method and system based on depth learning, Firstly, a camera and a wireless communication module are mounted on more than oneUAV. Each UAV patrols the transmission line according to the preset route, height and shooting angle, and transmits the images taken in the target area to the server of the corresponding patrol station. Then the server of the patrol station builds the depth neural network for the image data transmitted by the UAV in real time by using the depth learning method, identifies the target intelligently, judges the location coordinates of the external force damage risk, and uploads it to the central console; the server of the patrol station builds the depth neural network for the image data transmitted by the UAV in real time by using the depth learning method. Finally, the central console receives the warning coordinates from each patrol station to alert the staff. The invention realizes a large range of transmission line anti-external force damage early warning by a UAV and a depth learning algorithm popularized in the market.

The invention discloses a motor single chip control device based on an SoC-FPGA, which comprises an SoC-FPGA unit and an external function unit, wherein the SoC-FPGA unit comprises an FPGA module and an HPS module; the FPGA module comprises a peripheral management unit, a special function unit, a fast parallel computing unit, a fast interrupt interface and a PWM output interface; the peripheral management unit is used for being in charge of work control on the external function unit and comprises an analog input interface, a digital input / output interface, a temperature signal interface, a DA output interface, a QEP interface and a communication interface; and the HPS module mainly comprises an ARM, an RAM controller, a memory controller and a driver interface. according to the control structure of the invention, advantages of flexibility and strong expansibility of the FPGA are exerted, the HPS computing ability and the strong system management function are made full use of, rich wiring resources and the high-efficiency bus system between the FPGA and the HPS can greatly improve the performance of the control system, the cost is reduced, and the hardware structure provided by the invention has strong practical value.

This invention discloses a kind of distributed grating image processing data transfer system of the figure and image printing treatment. In this invention method after the grating image processing controller interprets the printing describing language to the document data use the user data paper agreement to distribute it to the grating processor for grated process. In this invention system the grating image processing controller connects with the multiple grating image processor through the first data transfer module and the first transfer module is distributed to the grating image processor for grated process through the user data paper agreement after the first transfer module interprets the printing describing language to the document data in the grating image processing controller. By using this invention the transfer velocity is quicker and the occupation for the network resource is less and it improves the getting velocity of the grating image processing system for the processing work resource at the same time improves the processing velocity of the distributed grating processing system and it is satisfied for the requirement of high speed printing output device.