46results about How to "Efficient processing speed" patented technology

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 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.

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.

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 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.