47results about How to "Efficient processing speed" patented technology

The invention discloses a method for treating livestock and poultry manure by using Hermetia illucens; the method comprises the steps of 1) mixing well livestock and poultry manure, an auxiliary material and livestock and poultry urine, wherein the mixture has humidity of 45-70%, the auxiliaries include wheat bran, straws or oil cake, the weight ratio of the livestock and poultry manure to the auxiliary material, to be specific, the livestock and poultry manure to wheat bran or oil cake, is 10:(3-5), or the weight ratio of the livestock and poultry manure to straws is 10:(1-3); 2) adding larvae of Hermetia illucens, adding the mixture, and feeding to third instar; 3) adding 25-40 kg of the mixture each day for feeding; 4) adding 40-60 kg of the mixture each day for feeding; 5) adding 60-80 kg of the mixture each day for feeding until a six-instar prepupal stage. An ecological recirculating culture method for treating livestock and poultry manure by using Hermetia illucens is also disclosed; Hermetia illucens is used as a feed in poultry or aquatic culture, the excrement of Hermetia illucens is used in earthworm culture, earthworms is used as a feed, poultry excrement is treated with Hermetia illucens, and the excrement of earthworms is made into fertilizer for planting industry.

The invention discloses a massive network text and non-text image classification method. Firstly a multi-scale space division network is constructed; then multi-scale image block tag information of images in a training image set is acquired and the network parameters of the multi-scale space division network are trained by using a marked training data set according to the constructed multi-scale space division network; then large-scale network images to be tested are classified by using the constructed multi-scale space division network and the trained network parameters so that the classification result of the images is acquired; and whether the images are text images is judged and the general position of the text area in the images is acquired. According to the method, the accuracy of text and non-text image classification is high and the method has high classification efficiency.

The invention discloses an ORB feature extraction-based palm vein recognition system. The system comprises a palm vein image acquisition module, a palm vein image preprocessing module, an ORB featureextraction module, a palm vein database module and a palm vein matching recognition module. According to the technical scheme, feature extraction and comparison recognition are carried out on palm vein images based on an ORB feature extraction method. The ORB feature extraction method is combined with the SURF algorithm, so that the method has the characteristics of scale invariance and noise insensitivity. The processing speed of the method is superior to that of other algorithms. The method is rapid in speed and high in efficiency. The method is extremely high in efficiency for the comparison recognition of application scenes large in data volume.

The invention provides a face recognition processing method and a face recognition processing device, wherein the method comprises the steps of determining attitude adaptation key points which correspond with a face image; performing convolution processing on the face image by means of a trained convolutional network, wherein the number of various layers in the network structure matches a processing resource of terminal equipment, and the parameter of the various layers has attitude robustness; performing attitude robustness processing on a first characteristic graph which is output from a first node in the convolutional network according to the attitude adaptation key points, generating a second characteristic graph with attitude robustness response, and transmitting the second characteristic graph to the convolutional network through a second node which is adjacent with the first node, thereby extracting face characteristics which correspond with the face image. The face recognition processing method, the face recognition processing device and the mobile terminal have advantages of realizing high processing speed of a small system, improving robustness and accuracy in face recognition, and improving processing efficiency and user experience.

The invention discloses a large-scale dipolar antenna based NOMA downlink non-interfering transmission method. The large-scale dipolar antenna based NOMA downlink non-interfering transmission method comprises the steps of 1, starting; 2, determining channel state information by a base station transmitting end; 3, pre-coding to-be-transmitted information of a user by a base station; 4, sending information to the user by the base station; and 5, ending. In the method, the user K can obtain a signal thereof through one-time processing, delay caused by a serial interference elimination technologycan be avoided and wrong broadcasting cannot occur; the user K when receiving a superposed signal obtains the signal thereof rather than signals of other users, so that the safety of each user in thesystem is guaranteed efficiently. The method has the processing speed better than that of other commonly used methods in the prior art and particularly better than that of an OMA system method.

Optical remote sensing satellite in-orbit imaging quality simulation pre-estimation and processing promotion has important theoretical direction significance and engineering application value in aspects of performance analysis, system index argumentation, system-wide quality comprehensive analysis and matching optimization design and performance evaluation in application tasks such as reconnaissance, plotting, monitoring and the like. An optical satellite image quality promotion comprehensive test platform is a comprehensive test platform which integrates satellite imaging simulation pre-estimation, ground processing promotion and image quality evaluation, can complete satellite system matching design and optimization, virtual simulation of in-orbit imaging quality, ground processing and image quality evaluation oriented to reconnaissance and plotting application, can be applied to the identification and evaluation in various stages of researched and future high-resolution optical satellites, and supports system performance analysis and application simulation, index system argumentation, and following in-orbit image ground processing promotion.

The invention discloses an image processing method with a cartoon effect. According to the image processing method, an image to be processed is subjected to crayon effect processing, an obtained crayon image and the image to be processed are processed in a superposed mixed mode to obtain a superposed crayon image, and finally the superposed crayon image and a texture material are processed in a superposed mixed mode again to obtain a cartoon image. By means of the image processing method, the algorithm is simple, a large number of operation resources are saved, and a high processing speed is realized; meanwhile, the naturalness and sense of reality of an original image can be maintained to a large extent, the hue is moderate, and the processing effect is good.

The invention provides a distinguishing method and system for an underwater weak target. The method comprises the steps that firstly, strong disturbing signals in a stop band are filtered out from receiving signals of a multi-sensor array through a spatial matrix filter, wherein the spatial matrix filter meets the condition that the pass-band response error is smallest under the constraint condition of a stop-band overall response error; then based on the receiving signals with the strong disturbing signals filtered out, the underwater target is positioned through a matched processor. The basic thought of the method is that the receiving array signals pass through the spatial matrix filter, a spatial matrix filter technology is used for the receiving array signals, the strong disturbing signals in the stop band can be effectively filtered out on the premise of ensuring that pass-band target signals pass through without distortion, and therefore influence on the detection and positioning of the pass-band target signals is eliminated, the underwater target is positioned through a conventional matched processor or an adaptive matched processor, and positioning of the underwater weak target is achieved under the condition of strong disturbance on the water surface.

The invention discloses a quantum entanglement teleportation-based spinal cord injury nerve signal relay system and a quantum entanglement teleportation-based spinal cord injury nerve signal relay method, and mainly solves the problem that the spinal cord injury of a human body is not easy to repair. The method comprises the following implementation steps: irradiating pumping light on barium metaborate crystals to generate an entanglement photon pair consisting of a first photon (2) and a second photon (3), and respectively distributing the entanglement photon pair to an upper breaking point J of a spinal cord injury and a lower breaking point K of the spinal cord injury; and performing Bell states measurement on a damaged neuron cell state |phi)>1 and the first photon (2) to obtain the quantum state |phi<+>>12 of a Bell state 1, the quantum state |phi<->>12 of a Bell state 2, the quantum state |psi<+>>12 of a Bell state 3 and the quantum state |psi<->>12 of a Bell state 4, wherein a completely repaired damaged neuron cell is obtained by transmitting any quantum state to the lower breaking point K of the spinal cord injury and performing unitary transformation on the second photon (3) according to the transmitted quantum state, so that spinal cord injury nerve signals are relayed. The system and the method are convenient to operate and high in safety, and can be used for repairing the spinal cord injury nerve signals of the human body.

The invention discloses a data processing method, a terminal, a mobile edge computing (MEC) server and a computer storage medium. The method includes the following steps that: a graphic processing unit (GPU) of the terminal performs image processing on collected three-dimensional video data to obtain an image processing result; the GPU sends the image processing result to a baseband chip (BB); andthe BB performs transmission processing on the image processing result and then sends the image processing result to the MEC server.

The invention discloses a city domestic sewage purifier and a preparation method thereof, and belongs to the technical field of environment protection. The purifier comprises following components in parts by weight: 80 to 120 parts of modified diatomite, 30 to 50 parts of active carbon, 30 to 50 parts of silica powder, 10 to 20 parts of sodium aluminate, 10 to 20 parts of fly ash, 10 to 20 parts of a flocculating agent, and 5 to 10 parts of a synergist. The provided purifier is different from a conventional purifier, and has a two-layer structure. The outer layer is a hydrophilic and oleophylic silica layer, which has a good effect of adsorbing and removing oil and purifying water. The inner layer is a core layer, which is mainly made of active substances such as diatomite. The purifier isspherical particles, and is convenient to use. The processing speed is quick. During the processing process, no toxic or harmful substance is generated. The purifier is green and pollution-free. Thecity sewage processing efficiency is effectively improved. The processing cost is reduced. The application potential is good.

A system for detecting the processing speed of an integrated circuit (IC) includes a flip-flop, a delay module, and a judge unit. The flip-flop receives a clock signal as a trigger signal and generates an inverted output signal. The delay module receives the inverted output signal, adjusts the delay time of the inverted output signal according to a selection signal, and outputs a delay signal to the flip-flop to have the flip-fop generate the output signal. The judge unit receives the output signal and generates a judge signal, which is enabled when the clock period of the output signal is longer than that of the clock signal.

The invention relates to a while drilling measurement signal processing method based on wavelet denoising and neural network identification. In a while drilling welllogging system, the interference oneffective signal obtaining is made by various noises caused by a slush pump and the like. According to the invention, noises generated during a while drilling welllogging process are analyzed; wavelet transform denoising is carried out and thus signal identification is carried out by a BP neural network pulse; and after denoising, effective signals with the frequency from 0 to 0.8Hz are obtainedand neural network identification is carried out to obtain pulses signals having the same number and the amplitudes being 1.

The invention discloses an imaging processing device of satellite-borne TOPSAR (Terrain Observation by Progressive Scans Synthetic Aperture Radar) data and a processing method thereof. The device comprises a data storage module, a frequency domain expanding module, a data focusing module and a time domain expanding module. The method comprises the following steps of: (1) reading in and storing TOPSAR data; (2) carrying out frequency domain expansion on the TOPSAR data in azimuth dimension; (3) focusing the TOPSAR data; and (4) carrying out time domain expansion on the TOPSAR data in the azimuth dimension to finish the exact imaging processing of the TOPSAR data. In the frequency domain expansion, the frequency domain is achieved by utilizing the Fourier transform, thus the computation burden is reduced, the processing speed and the precision are improved, and the method has better practicability; in the time domain expansion, the time domain is achieved by utilizing the Fourier transform, thereby an interpolation resampling operation is avoided, and the processing efficiency is improved. The invention sufficiently considers the characteristics of the TOPSAR working mode, overcomes the characteristic that the frequency domain and the time domain of the TOPSAR working mode are aliasing and has high efficiency.

The invention belongs to the technical field of manufacturing of integrated circuit semiconductor and provides a heuristic method for the dummy fill of a chemical mechanical polishing process. In the method, the dummy fill problem of the minimum dummy metal number is expressed as a standard linear programming problem and then a heuristic algorithm for dynamically increasing the dummy metal density in a grid is provided for solving the minimum dummy fill problem. In the method, the density value of dummy metal filled in the to-be-filled grid is dynamically determined during each optimization process according to a grid density cost function and approximation precision; meanwhile, the increment of the dummy metal density in the grid during each iteration is adjusted through an approximate constant epsilon; thus the compromise of the final result precision and the calculation speed can be realized. The method has high feasibility, extremely high-efficiency processing speed, superior calculation speed and result precision to those of the popular Monte-Carlo method and can be used for solving the large-scale territory dummy fill problem.

The invention discloses complete equipment for further separating methanol and water from C4. The complete equipment sequentially comprises a micro-phase diffuser, a parallel-connection micro-cyclone extraction pipe group, a fluid distributor, a cascading coalescence separator and accessories such as a position gauge and a water drum according to the flow direction of fluid. C4 and water enter the micro-phase diffuser via an inlet and are broken into micro drops under the action of a shearing flow field, wherein the distribution range of a particle size is 10 to 15 micrometers, and small drops of C4, methanol and water are sufficiently mixed and uniformly distributed inside a pipeline; and the mixed liquid enters the parallel-connection micro-cyclone extraction pipe group, and the mixed liquid after being sufficiently extracted uniformly enters the fluid distributor and then enters the cascading coalescence separator. The complete equipment has the beneficial effects of being simple in structure, easy in operation, compact in structure, small in floor occupation area, short in standing time and high in separation efficiency; and the content of methanol in the processed C4 is less than or equal to 30ppm, the content of water in C4 is less than or equal to 30ppm, and the subsequent C4 further processing requirement can be met.

A method for automatically distribute document based on genetic algorithm in accordance with that present invention, Depending on how long it takes each person to approve different types of documents,Different people spend different time approving the same type of documents. Using genetic algorithm to calculate the proportion of document types that each person arranges to approve on the day and the proportion of documents that each document type arranges to approve, so that each person works roughly the same and the total man-hour can be reduced; After marking that some people cannot allocatedocuments, this allocation document method recalculates and continues to allocate various documents to others. Compared with the prior art, the invention can average the workload of each person and reasonably distribute the bill, so that the total man-hour is reduced; More timeliness, can be automatically adjusted with the changes in personnel, and reduce the total man-hours; increasingly expensive labor costs can be saved and assigned documents can be processed more efficiently.

The invention belongs to the technical field of data processing in the contour measurement theory and relates to a filtering method for contour line data. The filtering method for the contour line data comprises the following steps: 1) performing the spline filtering to the original measurement data to obtain the filter centerline data; 2) solving weight judgment values corresponding to each data measurement point; 4) setting constant parameters, and comparing the weight judgment values vi of each point with the constant parameters to solve the weight values of each point; 5) recognizing the data of singular values according to the weight values, judging the points with the weight values of 0 as the data points of the singular values, and marking the range of the abnormal data; and 6) replacing the other points in the range of the data of the singular values by the average value of the data of the two data boundary points to obtain a set of new data without the data of the singular values, and performing the cascaded approximating Spline filtering to the new data to obtain the final filter centerline data. The filtering method for the contour line data can stably filter the contour line data.

A crop discharge speed control system (30) for a harvesting vehicle (10) having a crop accelerator (32) and a spout (24) that receives crop material and directs the crop material to a targeted destination. The crop accelerator (32) imparts an increased velocity to the crop material. The control system (30) includes a crop velocity sensor (50), a controller (40) and a variable speed drive (36). Thesensor (50) is coupled to the spout (24) of the vehicle (10) for the detection of a velocity of the crop material in the spout (24), the sensor (50) produces a velocity signal (VS) representative ofthe velocity of the crop material. The variable speed drive (36) is drivingly coupled to the crop accelerator (32). The controller (40) varies the speed of the crop accelerator (32) by controlling thevariable speed drive (36), as it controls the variable speed drive (32) to maintain a selected velocity of the crop material dependent upon a modulation of the velocity signal (VS).

The invention provides a satellite-borne multichannel aerial SAR data channel magnitude-phase error correction platform, wherein, ratio results of magnitude-phase characteristics of other channels anda magnitude-phase characteristic of a selected standard channel can be obtained after selection of the magnitude-phase characteristic of the channel as criterion and complex division operation of themagnitude-phase characteristics of the other channels and the magnitude-phase characteristic. When actual data is processed, that the magnitude-phase characteristics of the other channels except thestandard channel is divided by the corresponding ratio results is only needed, thereby errors which are led in by a signal generator are avoided; in addition, though the magnitude-phase characteristicof the selected standard channel is not completely ideal, occurrence of false targets in the azimuth direction can be effectively prevented and an ideal azimuth direction image performance index canbe obtained due to the fact that data of each channel is provided with the same magnitude-phase characteristics after magnitude-phase error correction. Simultaneously, error compensation effects are evaluated and adjusted by self adaptive means from the imaging angle, thereby satisfactory compensation effects are obtained.

The invention discloses a temperature extraction method of a Brillouin optical time domain analysis system (BOTDA) based on a kernel extreme learning machine. The method comprises the following stepsthat Brillouin gain spectrum parameters of a test optical fiber are acquired by using a Brillouin optical time domain analysis system; a kernel extreme learning machine is adopted to analyze parameters collected by a Brillouin optical time domain analysis system, an obtained real matrix serves as training data of the kernel extreme learning machine, the training data is used for training the kernel extreme learning machine, the accurate temperature information is extracted, and system performance is improved through the higher processing speed. The method is advantaged in that a kernel extremelearning machine algorithm is introduced, so temperature extraction precision and kernel efficiency of the Brillouin light starting from an analysis system are improved, and the application of the Brillouin light time domain analysis system in actual detection is facilitated.

The invention provides a missile attitude measuring method based on satellite navigation. According to the missile attitude measuring method, spatial coordinates of a missile and a satellite are utilized for defining a ground deviating direction as a reference direction of missile rotation firstly; then the frequency and the phase of a modulating signal are estimated by means of a signal processing method; and finally rotating speed and rotating angle of the missile are estimated. The method comprises the following steps of 1, acquiring a signal; 2, processing a geometrical position signal; 3, estimating the frequency change range of the modulating signal by means of a difference method; 4, estimating the frequency of the modulating signal by means of discrete Fourier transform; 5, estimating the phase of the modulating signal; 6, calculating a parameter which describes rotating attitude of the missile; and 7, describing the attitude of the missile. The missile attitude measuring method overcomes defects of incapability of performing attitude measuring on a remote missile, requirement for prestoring missile track and storage space consumption in prior art. Application range of missile attitude measuring is expanded. Furthermore storage space consumption and processing time consumption are reduced.

The invention relates to a method and device for deep demethanolization of C4. The demethanolization treatment of C4 extracted from the top of the azeotropic distillation tower is divided into three steps: firstly, the pre-distribution extraction of C4 is carried out by using microphase distribution technology; The C4 and the extract after the final extraction fully enter the modular deep separation device for deep separation of C4 and the extract; the C4 after demethanolization enters the subsequent production device, and the extract returns to the methanol recovery tower for further extraction. Recycle. The present invention also provides a set of devices for realizing the method, including an extraction device and a separation device; the extraction device is divided into a microphase disperser and a micro-swirl flow extraction device; the separation device is a coalescence separation module and a corrugated plate enhanced sedimentation, water bag, Boundary meter and several other parts. The method of the invention has high processing speed and high efficiency, and the methanol content in the treated C4 is not more than 5 ppm, thereby improving the performance of the C4 follow-up deep processing device.

The invention discloses a curved character recognition method and system based on a complex scene, and relates to the field of character recognition. The method comprises the steps of detecting a first character region of a to-be-recognized picture based on a character segmentation model, marking non-character content in the first character region, removing the marked non-character content in the first character region to obtain a second character region, inputting the second character region into a CRNN model improved by a convolutional layer, and obtaining a character recognition result. Compared with a regression method in an existing character recognition scheme, the segmentation method based on the character segmentation model has the advantages that bent characters can be more accurately detected, compact text lines can be effectively distinguished, and the processing speed is high. According to the scheme, curved characters frequently appearing in a natural scene can be accurately recognized, and the character recognition accuracy of the OCR in the natural scene is effectively improved. The application effect of various characters needing to be recognized is also improved.

The invention provides a missile attitude measuring method based on satellite navigation. According to the missile attitude measuring method, spatial coordinates of a missile and a satellite are utilized for defining a ground deviating direction as a reference direction of missile rotation firstly; then the frequency and the phase of a modulating signal are estimated by means of a signal processing method; and finally rotating speed and rotating angle of the missile are estimated. The method comprises the following steps of 1, acquiring a signal; 2, processing a geometrical position signal; 3, estimating the frequency change range of the modulating signal by means of a difference method; 4, estimating the frequency of the modulating signal by means of discrete Fourier transform; 5, estimating the phase of the modulating signal; 6, calculating a parameter which describes rotating attitude of the missile; and 7, describing the attitude of the missile. The missile attitude measuring method overcomes defects of incapability of performing attitude measuring on a remote missile, requirement for prestoring missile track and storage space consumption in prior art. Application range of missile attitude measuring is expanded. Furthermore storage space consumption and processing time consumption are reduced.

The invention discloses complete equipment for further separating methanol and water from C4. The complete equipment sequentially comprises a micro-phase diffuser, a parallel-connection micro-cyclone extraction pipe group, a fluid distributor, a cascading coalescence separator and accessories such as a position gauge and a water drum according to the flow direction of fluid. C4 and water enter the micro-phase diffuser via an inlet and are broken into micro drops under the action of a shearing flow field, wherein the distribution range of a particle size is 10 to 15 micrometers, and small drops of C4, methanol and water are sufficiently mixed and uniformly distributed inside a pipeline; and the mixed liquid enters the parallel-connection micro-cyclone extraction pipe group, and the mixed liquid after being sufficiently extracted uniformly enters the fluid distributor and then enters the cascading coalescence separator. The complete equipment has the beneficial effects of being simple in structure, easy in operation, compact in structure, small in floor occupation area, short in standing time and high in separation efficiency; and the content of methanol in the processed C4 is less than or equal to 30ppm, the content of water in C4 is less than or equal to 30ppm, and the subsequent C4 further processing requirement can be met.

The invention discloses a municipal sewage treatment method. The method comprises the following steps: 1, collecting municipal sewage through a sewer line, and stirring and crushing the municipal sewage; 2, adding a flocculating agent into the municipal sewage obtained in the step 1, and carrying out uniform stirring; 3, adding H2O2 into the municipal sewage in the step 2 for a sufficient reaction; and 4, enabling drained water obtained in the step 3 to enter a mud-water separator for treatment to obtain treated sewage, wherein the sewage meets the first-grade A requirement of urban sewage discharge. A preparation method of the flocculating agent comprises the following steps: A, taking silicate with a concentration of 30%, sulfuric acid with a concentration of 20% and a sodium hydroxide solution, and carrying out activating to obtain a first solution; B, modifying the first solution, and adding Fe<2+> and Cl<->; C, copolymerizing metal ions and the first solution, and carrying out uniform stirring; and D, carrying out curing to obtain a finished product, adding the prepared flocculating agent. As the flocculating agent is used for treating the discharged water, treatment effect isgood, a treatment speed is obvious, a removal rate is high, turbidity is high, the utilization rate of water resources is improved, and the pressure on the environment is reduced.

The invention discloses a network video playing system and a network video playing method based on TS over IP. A PCIE board card is connected with a TS server and a CA server. The PCIE board card receives a network data packet and parses the network data packet to obtain a TS stream, de-multiplexes and slices the TS stream, encrypts the slices and stores the slices in the cache of the PCIE board card. The TS server reads encrypted slice data from the cache of the PCIE board card. The CA server sends a slice key used for encrypting the slice data to the PCIE board card. The problem that the cost is increased and the development is difficult for slicing and encrypting a multi-program TS stream based on software is solved.

The invention provides a gas engine rotating speed control method and a circuit used for achieving the method. The gas engine rotating speed control method comprises the following steps that a single-chip microcomputer acquires analog rotating speed signals of a gas engine through an acquisition circuit; the single-chip microcomputer converts the analog rotating speed signals into digital rotatingspeed signals and carries out calculation to obtain pulse width modulation (PWM) signals, and outputs the PWM signals to the input end of a regulation control circuit; and the regulation control circuit controls the rotating speed of the gas engine according to the duty ratio of the PWM signals. According to the gas engine control method and the circuit used for achieving the method, the single-chip microcomputer and the peripheral circuits are used for carrying out control, and great reduction of the cost of a gas engine heat pump system is achieved; and meanwhile, the single-chip microcomputer is superior to a PLC in processing speed, the single-chip microcomputer can also achieve real-time control, universal C language is adopted for programming for the development of the single-chip microcomputer, and the development of the gas engine heat pump system is more flexible and open.