228 results about "Differential algorithm" patented technology

The invention discloses a fire detecting system applied to an unmanned helicopter and a fire detecting method thereof. The system comprises infrared image acquiring equipment and a signal processing flow network, wherein the signal processing flow network comprises an input layer, a middle layer and an output layer; the temperature gradient operator calculation is respectively carried out in the vertical direction, the horizontal direction, the direction of plus 45 degrees and the direction of minus 45 degrees in the center of a suspected area, and a calculation result is a basis of judging fire flame; a differential algorithm adopting interframe time difference as the time change rate is carried out by a method for subtracting absolute values of adjacent interframe pixel gray values, anda calculation result is used as a basis of judging a fire high-risk point. The invention rapidly recognizes the fire flame and the fire high-risk point by a platform with low cost and high efficiencyof the unmanned helicopter through an infrared camera, early warns a fire accurately in time and has the characteristics of manoeuvrability, high efficiency and no dead angle. A fire flame and fire high-risk point detecting algorithm designed by aiming at the detection of an infrared image is efficient, simple, practical and effective.

The invention discloses a wavelet difference algorithm-based cable fault localization method. The method comprises the following steps of: 1, detecting a signal in real time and synchronously uploading the signal; 2, performing signal acquisition; 3, performing cable fault localization by steps of performing signal pre-treatment which comprises normalization treatment, de-noising treatment and fault signal modulus transformation, judging a wavelet packet entropy fault region, determining the fault point by selecting a one-dimensional signal, performing wavelet transformation, solving a wavelet coefficient, detecting a modulus maximum point, sorting singular points after the maximum point, performing first-order difference operation and difference comparison, and performing localization operation on the cable fault position by using a single-end fault localization method free from influence of the wave velocity; and 4, synchronously outputting the treatment result. The method has the advantages of reasonable design, simple operation, convenient implementation and high localization precision, and effectively solves the practical problems that the fault region cannot be identified and the localization precision is relatively low and easily influenced by various factors in the conventional cable fault detection method.

The invention discloses a collision avoidance planning method for mobile robots based on deep reinforcement learning in a dynamic environment, and belongs to the technical field of mobile robot navigation. The method of the invention includes the following steps of: collecting raw data through a laser rangefinder, processing the raw data as input of a neural network, and building an LSTM neural network; through an A3C algorithm, outputting corresponding parameters by the neural network, and processing the corresponding parameters to obtain the action of each step of the robot. The scheme of the invention does not need to model the environment, is more suitable for an unknown obstacle environment, adopts an actor-critic framework and a temporal difference algorithm, is more suitable for a continuous motion space while realizing low variance, and realizes the effect of learning while training. The scheme of the invention designs the continuous motion space with a heading angle limitationand uses 4 threads for parallel learning and training, so that compared with general deep reinforcement learning methods, the learning and training time is greatly improved, the sample correlation isreduced, the high utilization of exploration spaces and the diversity of exploration strategies are guaranteed, and thus the algorithm convergence, stability and the success rate of obstacle avoidance can be improved.

The invention discloses and proposes a reservoir dispatching method based on multi-target shuffled frog leaping and differential algorithms. The reservoir dispatching method comprises the following steps of S11, acquiring basic information data of a reservoir; S12, building a multi-target optimal dispatching mathematic model considering constraint conditions of water balance, machine set output, discharged volume and generation power, wherein the target function is built based on maximum generation power, minimum water deficit, minimum surplus water and minimum output; S13, figuring out Pareto optimal solution of the multi-target optimal dispatching mathematic model by using the multi-target shuffled frog leaping and differential algorithms; and S14, automatically determining a reservoir optimal dispatching scheme by a multi-target decision method on the basis of the Pareto optimal solution. By the reservoir dispatching method, global optimization is achieved, the calculation efficiency is improved, and the requirement of automatically selecting the multi-target optimal dispatching scheme of the reservoir is met.

The invention provides a pulse wave signal feature point detection method based on waveform time domain features. The mode that the interval of analyzing waveform is gradually decreased is adopted, the positions of feature points in pulse wave signals are determined by combining a differential algorithm with a wavelet transform algorithm on the basis of the waveform time domain features of the pulse wave signals in the analyzing process, therefore, unnecessary interference can be effectively removed, the signal features are amplified, the accuracy of pulse wave signal feature point detection is improved, and the recognition accuracy for the condition that tidal waves or dicrotic waves in pulse wave waveforms are not obvious is high. According to the pulse wave signal feature point detection method based on the waveform time domain features, detection of a computer on the pulse wave signal feature points is achieved, the workload of clinicians is reduced, the defect of manual detection errors is overcome, and a technological base is supplied to automatic calculation and acquisition of clinical pulse wave information by computer equipment and research and development of continuous non-invasive blood pressure detection equipment.

The invention relates to a logistics positioning, authenticating and monitoring system and a working method of the logistics positioning, authenticating and monitoring system. The system comprises an embedded terminal on each cargo packaging bag and a cloud service platform arranged on a cloud server of an express company; each embedded terminal is provided with a sole terminal identity identification code and is connected with the cloud service platform through a communication network; when the cargo is delivered, a received/retreated pack bar code is distributed to each cargo randomly by the cloud service platform, and the received/retreated pack bar code as a pack receiving certificate is transmitted to a receiver/sender, then the received/retreated pack bar code can be used for assisting the identity authentication when the pack is received; during whole the transportation process, the cargo is positioned in an uninterrupted way by the embedded terminal through the double positioning functions of a GPS (global position system) and a GSM (global system for mobile communications) base station; the acceleration of the cargo is confirmed through a three-axis acceleration sensor, and is transmitted to the cloud service platform to be stored; images are taken by using a video acquisition unit at regular intervals; and a video differential algorithm is adopted to retain images having sudden scene change in a moving storage unit for evidence taking. The system and the method can be used in the field of express delivery logistics, and the cargo can be delivered more safely and more reliably.

The invention provides a satellite-based AIS signal intercept and demodulation method and aims to provide a demodulation method which can simplify configuration and complex degree of receiving equipment and can be adapted with large Doppler frequency shift and long signal time delay and realizes relatively low consumed resource amount. The method is realizes through the following steps of directly performing RF AD sampling after amplification filtering is performed on a signal which is received by an antenna; performing two-path digital channelization preprocessing on the AD sampling data in an FPGA, and outputting two paths of baseband IQ data; respectively calculating instantaneous phases of the two paths of baseband IQ data, and performing 1bit differential algorithm processing on the instantaneous phases for obtaining an instantaneous frequency; performing comparison decision on a buffered instantaneous frequency value f(n) with a frequency central value, and performing correlation operation on a decision result and a standard synchronous sequence; on the condition that a correlation operation value exceeds a threshold and reaches a highest value, determining demodulation bit synchronization and finding out an optimal sampling point for demodulation; detecting a signal end mark in the demodulation process, and outputting all demodulation results on the condition that the end mark occurs.

The invention belongs to the technical field of computer measurement, and particularly relates to a rapid phase unwrapping method based on quality diagram region segmentation. The rapid phase unwrapping method includes the steps of capturing wrapped phase diagrams obtained through processing with a camera, calculating quality diagrams according to the wrapped phase diagrams, filtering the quality diagrams with a phase differential-difference algorithm, automatically obtaining a region segmentation threshold value, dividing the wrapped phase diagrams into regions with different priorities with the obtained region segmentation threshold value, completing region phase unwrapping with a simple path tracking phase unwrapping algorithm, conducting phase unwrapping, and combining sets after phase unwrapping according to the priority sequence from high to low. By means of the rapid phase unwrapping method, the simple path tracking phase unwrapping algorithm based on region segmentation is adopted, and the phase unwrapping speed can be quickened on the premise that the phase unwrapping accuracy is not reduced to the greatest extent. By means of the rapid phase unwrapping method, the requirements for high accuracy, rapid unwrapping, noise jamming resistance and the like of structured light vision three-dimensional measurement are met.

An air cushion type automatic monitor for the respiration, palpitation and turn-over of human body and its monitor method are disclosed. Said monitor method includes such steps as receiving the pressure signals generated by respiration, cardiac rhythm and turning body over, removing interference signals by microprocessor, using differential algorithm to judge wave peaks and wave valleys, judging the relative information according to the amplitudes and variation speed of peak and valley, statistics of respiration and ardiac rhythm frequencies, and alarming.

The invention relates to a multi-target differential grey wolf algorithm-based reactive power optimization method of a power distribution network. Photovoltaic and load time sequence fluctuation is considered, a DSTATCOM is introduced and used as a compensation connected to an active power distribution network, segmentation is performed by taking hour as a time segment, the dynamic reactive powerof the DSTATCOM is smoothly changed according to change of an equivalent load after photovoltaic and load, fluctuating according to a time sequence, connected to the power distribution network, and the active network loss and the voltage deviation are reduced to the maximum extent under the condition that the minimum reactive compensation capacity is output. In order to solve the problem of multiple targets in a reactive power optimization model, an original grey wolf algorithm is improved, variation and cross in a differential algorithm are introduced, and multiple targets are processed by rapid non-domination sequencing, congestion distance and fuzzy subjection function. By the multi-target differential grey wolf algorithm-based reactive power optimization method, the influence on systemnetwork loss and voltage after time sequence photovoltaic and load connected to the power distribution network is effectively solved; and with the adoption of the multi-target differential grey wolfalgorithm, the problem of multi-target non-linear reactive power optimization is processed, and the global and local searching capability is balanced.

The invention relates to a diagnosis method for impact type failure between a rolling bearing and a gear based on an optimal self-adaptive wavelet filter, which comprises the following steps: firstly establishing an exponentially damped sinusoidal impact type failure signal model, using a mode self-adaptive wavelet generation algorithm publicly disclosed by Hector Mesa to generate a self-adaptive wavelet filter which is matched with the signal model, then utilizing a fast FIR (finite impulse response) filtering algorithm to execute the wavelet filter to obtain the filtering result, then calculating the kurtosis value of the filtering result, and using an evolution differential algorithm to repeat the steps so as to finally obtain an optimized envelope spectrum. By adopting the method, impact failure characteristics in vibration signals can be precisely extracted, and a clearer envelope spectrum can be given out, thereby ensuring that failure symptoms can be displayed more clearly.

The invention relates to a draining pipeline network optimizing method based on a generalized reverse learning difference algorithm and aims to solve the problems that draining pipeline optimization is complex in calculation and low in calculation precision, and unreasonable and infeasible schemes cannot be excluded thoroughly. The improved self-adaption difference algorithm is utilized to obtain the optimal value of a pipeline manufacturing cost function. The optimal value includes hydraulic parameters such as flow rate, slope and burial depth, satisfying a hydraulic constraint condition, of each pipeline section. A reserve learning method is used for initializing the self-adaption algorithm, the initialized population of the algorithm is processed before variation, probability theory knowledge is utilized to refine initial solution while population number is not increased, population variety is increased, and probability for finding global optimal solution is increased. In addition, few variables are related to the algorithm, variation strategies are selected through self-adaption, and simple algorithm operation, fast convergence and high optimization precision are achieved.

A technical scheme of the invention includes a method of recognizing circular defects based on weld X-ray digital images; the method comprises: S1, acquiring a weld X-ray image with a circular defect; S2, using a display differential algorithm of a total variation model to denoise the weld X-ray image acquired in step A; S3, preliminarily determining the edge of the circular defect through Canny edge detection operator; S4, performing mathematical morphological processing on the image acquired in step C to further determine the edge contour, mass center and area of the circular defect. The method has the advantage that weld X-ray circular defects can be detected more quickly and accurately.

The invention discloses a weak target detection method by use of time-space domain filtering adaptive to a pipe diameter. The weak target detection method comprises steps of: carrying out background detection on a to-be-processed image by use of anisotropic differential algorithm so as to improving subsequent target detection ability; segmenting a difference graph by use of a local maximum value so as to acquire a binary image; initializing a time domain parameter (an accumulation frame length) and a space domain parameter (the size of the pipe diameter), and successively inputting a series of binary images with the accumulation frame length of N; and finally, by use of the time-space domain filtering adaptive to the pipe diameter, detecting multiple frames of images so as to acquire a real target point, and superposing the detection results so as to output a target movement track. Compared with a traditional pipeline filtering target detection method with a fixed pipe diameter, the weak target detection method is advantageous in that based on the correlation between a target and the time-space domain multi-frame movement, the size of the pipe diameter is adaptively modified according to the change of a target scale, so a detection problem caused by the fact that the target becomes small/big due to unchanged pipe diameter is effectively solved and target detection precision is greatly improved.

Systems, methods and computer readable media are disclosed for a vectorized tile differencing algorithm for a remote desktop protocol (RDP). A server executes a CBC-variant vectorized hash algorithm that is used to produce a big key that identifies the tile, and keeps track of these big keys. Where a serial version of the algorithm operates on a single portion of the image at once—such as 32 bits—the vectorized algorithm operates on a plurality of these portions simultaneously. Where the server identifies that a tile has already been sent to a client via RDP because it has a second big key that matches the big key, it sends the big key to the client—which caches received tiles—and the client uses it to access the proper tile for display. Where the server identifies that a tile has not already been sent to the client, it sends the client the tile.

The invention discloses a vehicle-mounted vehicle driving deviation detection apparatus and detection method. The vehicle-mounted vehicle driving deviation detection apparatus includes a magnetic attraction seat, a vehicle terminal, and a wireless laser bar code scanner. The vehicle terminal is composed of a GPS positioning module, a single-chip microcomputer main control module, a data transmission and display module, an interface module, an alarm module and a power module. The host of a mobile station acquires the vehicle trajectory information in real time and sends the information to a reference station via a radio station in the host, a differential algorithm is formed in the system to obtain the high-precision mobile station coordinate, the deviation amount of the vehicle to be measured is processed and calculated through the main control chip of the single-chip microcomputer main control module, the result of the deviation amount is displayed on a four-bit digital display screen after the testing is finished, and the vehicle speed is displayed in the testing process in real time. The apparatus is simple in structure and convenient to detach, and can realize the display of the deviation amount and the vehicle speed, is suitable for automobile manufacture enterprises to do streamline test, and has wide market potential and application prospect.

A curve rendering method includes calculating a step size based on a length of a straight line connecting a start point and an end point among control points of a curve to be rendered, and calculating initial values of a forward differencing algorithm (FDA) based on the calculated step size and coefficient values of an equation of the curve that is determined based on the control points. The method further includes generating an FDA table based on the initial values, and calculating a coordinate value of a pixel based on the FDA table.

The invention discloses a method and device for measuring three-direction cutting force of fast tool servo turning, and belongs to the technical fields of ultra-precision cutting, cutting force measurement, optical element cutting and the like. The method and device are suitable for measuring the three-direction cutting force of fast tool servo turning. Three pressure sensors distributed in an isosceles triangle shape are arranged on a fast tool servo device in the Y direction, the cutting force can be measured while a workpiece is machined in a reciprocating mode with a high frequency in the Z direction, and through three times of kinetic analysis, the relation between truth values of the XYZ three-direction cutting force and corresponding measuring values can be obtained. The Z-direction cutting force can be measured through the third pressure sensor, the Y-direction cutting force can be measured through identical measurement components of the first pressure sensor and the second pressure sensor, and the X-direction cutting force can be measured through a differential algorithm according to the measuring value of the first pressure sensor and the measuring value of the second pressure sensor. The method and device have the advantages that cutting force measurement is comprehensive and high in accuracy, and interference of piezoelectric stack driving force on cutting force measurement can be avoided.

A high-definition network camera intelligent code stream control method comprises the following steps of: dynamically acquiring the original YUV image of a network camera and obtaining a real-time scene image; analyzing a screen motion characteristic by using an improved difference algorithm; processing by using morphology to remove noise information; locating a motion target; calculating a motion target area and fusing multiple motion areas; dynamically adjusting target area coding quality to improve the coding quality of the target area and to reduce the coding quality and the frame rate of non-target areas.

Disclosed is a dissolved-oxygen control method based on an improved differential algorithm. The method includes the following steps: a data acquisition system and a central control system. The data acquisition system includes a sensing device, a communication gateway and an OPC server. The sensing device carries out real-time online detection on technological parameters in a sewage disposal process and is connected with the gateway through a communication protocol. The gateway converts acquired data into data which can be identified by the OPC server and transmits the data through the OPC server. The central control system includes an OPC client and an optimizing system. The OPC client receives data information transmitted by the OPC server and transmits the data information to the optimizing system. Based on a virtual instrument technology, a powerful interconnection interface technology of LabVIEW is used to realize mixed programming of the LabVIEW and Matlab and the powerful operation capacity of the Matlab is used to carry out optimal-value searching based on the improved differential algorithm on the concentration of dissolved oxygen in a sewage disposal process. On the premise that the water quality of effluent water complies with the state standard, the operation cost is effectively saved and win-win of efficiency and economy is realized.

Two finite difference algorithms on rectangular grids are provided for viscoelastic ink ejection simulations. The first algorithm is first-order accurate in time, while the second algorithm is second-order accurate in time. Each of these two algorithms seamlessly couples or incorporates several features: (1) a coupled level set-projection method for incompressible immiscible two-phase fluid flows; (2) a higher-order Godunov type algorithm for the convection terms in the momentum equations and level set convection equation; (3) the central difference for viscosity, surface tension, and upper-convected derivative terms; (4) an equivalent circuit for inflow pressure (or inflow rate). In the first algorithm, a simple first-order upwind algorithm is designed for the convection term in the viscoelastic stress equations. But in the second algorithm, a second-order Godunov type upwind scheme is employed for the convection term in the viscoelastic stress equations.

The method includes steps: first, preparing histogram statistics for mismatched pixels of moving forwards compensation block in current input image; next, calculating statistic of heterotactic characters of histogram for mismatched pixels of moving forwards compensation block between adjacent frames; then, carrying out determining procedure for switching scenes based on the said statistic, and outputting the determined result. Based on difference detection technique of moving compensation, the invention overcomes disadvantages: sensitivity to noise and movement caused by the difference algorithm for pixels located at same positions in adjacent frames; and negligence of space information of video object occurred in conventional decision method of analyzing statistical histogram of pixel intensities. Advantages are: lowering probability of false alarm and probability failed to report in detection of switching video scenes as well as raising precision and correctness of determination.

The invention belongs to the field of navigation satellite applications and data processing, in particular to a new GNSS observation value data compression and decompression method which comprises the compression and the decompression of rough coordinates and antenna height information in GNSS observation values, the compression and the decompression of time data based on a sexagesimal system, the compression and the decompression of satellite numbers based on the sexagesimal system, the compression of the GNSS observation values based on the sexagesimal system and the recurrence differentialalgorithm, and the integration of the GNSS observation values based on the sexagesimal system and the recurrence integration algorithm.

This invention provides an upgrading device using bootloader in wireless sensor networks which is installed at a wireless sensor. The wireless sensor is connected to a host terminal, which is characterized by comprising: a hardware initialization device for initializing the condition of the hardware while the sensor is on or reset; a wireless device driving device for providing wireless communication ability to the bootloader; and a difference algorithm decoding device, comprising at least one difference algorithm, for decoding and rebuilding the script file which is received.