1249results about How to "Strong application value" patented technology

The invention discloses a clustering method based on mobile object spatiotemporal information trajectory subsections. The clustering method based on mobile object spatiotemporal information trajectory subsections comprises the steps that the three attributes of time, speed and direction are introduced, and a similarity calculation formula of the time, speed and direction is provided for analyzing an internal structure and an external structure of a mobile object trajectory; firstly, according to the space density of the trajectory, the trajectory is divided into a plurality of trajectory subsections, then the similarities of the trajectory subsections are judged by calculating differences of the trajectory subjections on the space, time, speed and direction, finally, trajectory subsections in a non-significant cluster are deleted or are merged into adjacent significant clusters on the basis of a first cluster result, and therefore an overall moving rule is displayed on the clustering spatial form. According to the clustering method based on the mobile object spatiotemporal information trajectory subsections, the clustering result is improved, higher application value is provided, a space quadtree is adopted to conduct indexing on the trajectory subsections, clustering efficiency is greatly improved under the environment of a large-scale trajectory number set, and trajectories can be effectively clustered.

The invention relates to a method for preparing health-benefiting fermented soybean meal enriched in small peptides, gamma-aminobutyric acid (GABA), reducing sugar, lactobacillus plantarum and antimicrobial peptide. By utilizing strains of aspergillus oryzae, saccharomyces cerevisiae, bacillus subtilis and lactobacillus plantarum, the small peptides, free amino acids, reducing sugar, GABA and high viable count content in the lactobacillus plantarum in the health-benefiting fermented soybean meal are obtained through the two-stage solid state fermentation method, the small peptides account for 8.01-18 percent, the free amino acids has the content of 80-300mg/g, the reducing sugar reaches 20-80mg/g, the GABA reaches 0.317-0.5mg/g, the viable count content in the lactobacillus plantarum is 2-6.5*1010cfu/g, the antibacterial titer of antimicrobial peptides is 2.0*103-7.0*104 IU/g, and the yield of the health-benefiting fermented soybean meal is 82.03-90 percent. According to the process, the nutrient effect of the soybean meal can be improved, the prepared fermented soybean meal has the antibacterial effect, partial antibiotics can be replaced, the fermented soybean meal is conveniently preserved and saved, the process is simple and feasible, and the fermented soybean meal is green and environment-friendly and has application significance and wide prospect in the feed industry and breeding industry.

The invention provides a method and a system for automatically calibrating an electrical instrument. The system comprises a PC, an automatic calibration device controlled by the PC and an instrument hanging table for fixing the instrument to be calibrated. The PC sets a calibration proposal, controls the calibration device to calibrate calibrated instruments synchronously, and controls the calibration device to automatically retest the amplitude, phase, power, frequency and electrical error of the calibrated instrument, automatically store test data and generate test report after the calibration is finished. The method and the system solve the problem of the prior art of low instrument calibration precision and complex calibration process, realize automatic calibration and retest of the high-precision electrical instrument, ensure calibration precision and improve production efficiency.

The invention relates to an image quality assessment method, in particular to a non-reference image quality assessment method based on information entropy characters, and belongs to the field of image analyzing. The method comprises the first step of carrying out Contourlet conversion on a distorted image to obtain N*M conversion sub-bands, the second step of dividing each conversion sub-band and the unconverted original distorted image, the third step of calculating null domain information entropy and frequency domain information entropy on each block coefficient matrix, and the fourth step of screening the blocking characters and calculating a mean value to obtain the quality character value of each conversion sub-band. The method of a support vector machine and the method of non-reference image quality assessment are utilized for testing on a test set, and quality prediction and assessment are carried out through quality character vectors corresponding to a disaggregated model, an evaluation model and the test set all of which are obtained through training. The non-reference image quality assessment method has the advantages of being high in subjective consistency, small in time complexity and good in university, can be embedded into application systems related to image quality, and has very high application value.

The invention relates to a cleaning device, in particular to a cleaning device with multiple functions of shoveling, pushing, sweeping and brushing. The cleaning device with the multiple functions of shoveling, pushing, sweeping and brushing comprises a fixed plate, a T-shaped block, two rear support frames, and two front support frames; one end of the fixed plate is provided with a magnetic object; the T-shaped block is connected with one end, which is provided with the magnetic object, of the fixed plate through a telescopic mechanism; two support frames are arranged on two sides of the fixed plate and are movably connected with the fixed plate; and one sides of the front support frames are movably connected with the rear support frames and other sides of the front support frames are movably connected with the T-shaped block. The cleaning device with the multiple functions of shoveling, pushing, sweeping and brushing can treat various garbage which is difficult to treat; compared with the conventional cleaning devices such as a big broom and the like, the cleaning device with the multiple functions of shoveling, pushing, sweeping and brushing has the advantages that the efficiency is improved by multiple times, and shoveling, pushing, sweeping and brushing are effectively combined together, so that the cleaning device with the multiple functions of shoveling, pushing, sweeping and brushing can be widely applied to various living fields.

The invention discloses an aqueous coating adhesive containing multiple coating modified ammonium polyphosphate and applications thereof on fabric finishing. The single modified ammonium polyphosphate can not acquire excellent wash-resisting, immersion-resisting and durable fire retardant performance from the fabric, and can not even obtain dry and comfortable hand feeling. The invention is characterized in that the ammonium polyphosphate, which is modified by melamine, single silane or epoxy resin, is subjected to heating and backflow in an organic alcohol-like solvent, a silane coupling agent capable of being bonded with active groups in the modified ammonium polyphosphate is then added so that the surface of the ammonium polyphosphate experiences multilayer coating and has active hydrogen; the coated ammonium polyphosphate is added with a nonionic surfactant, water, a binder and aqueous closed polyurethane, the aqueous coating adhesive containing the multiple coating modified ammonium polyphosphate is obtained by means of dispersed grinding. The invention is coated on terylene or pure cotton fabrics, thus realizing the cross-linked film forming of the ammonium polyphosphate and the aqueous closed polyurethane and the aqueous binder, and obtaining waterproof and durable environmentally-friendly fire retardant coating fabric.

The invention provides an unmanned surface ship optimal trajectory tracking control method based on a reinforced learning method. The unmanned surface ship optimal trajectory tracking control method based on the reinforced learning method comprises the following steps: S1, establishing an unmanned surface ship system mathematical model and a desired trajectory system mathematical model without considering a disturbance condition; S2, establishing a dead zone mathematical model, so as to obtain an unmanned surface ship system mathematical model introducing the dead zone; and further obtaining an tracking error system; S3, establishing an identifier system; and S4, evaluating whether the control strategy meets the requirements or not through an optimal cost function; if the control strategymeets the requirements, outputting the control strategy to the unmanned surface ship system as an optimal control strategy; and if the control strategy does not meet the requirements, evaluating whether the regenerated control strategy meets the requirements or not through the optimal cost function, and repeating the above process until the optimal control strategy is obtained and output to the unmanned surface ship system. The invention solves the technical problem that the unmanned ship optimal control method in the prior art does not consider the dead zone or completely unknown system dynamics, and the accuracy and robustness of the control system are reduced.

The invention relates to a method for accumulated damage computation and life prediction of an IGBT module used for an electric car. The method is characterized by comprising the following steps of setting whole-car parameters, relative parameters of the IGBT module, a road surface rolling friction coefficient and a drag coefficient; fitting a speed-junction temperature mean value relation curve and a speed-junction temperature fluctuation amplitude relation curve; obtaining running speed-time data and road surface gradient data of the electric car in real time; judging a car running speed change condition and a climbing condition and respectively computing the IGBT accumulated damage according to two modes in order to obtain total accumulated damage of the IGBT module; and predicting the lifetime and the life mileage of the IGBT module. According to the method, the direct link is established between the running condition of the electric car and the working condition of the IGBT module, the junction temperature data and the accumulated damage of the IGBT module are directly computed, the method can be used for researching the influence of factors, such as environment temperature, road surface gradient and running acceleration, on the service life of the IGBT module used for the electric car, and the method has wide application value.

The invention belongs to the technical field of radio signal identification, in particular to a communication protocol signal identification method based on a depth residual network. The method comprises the following steps of: performing time-frequency analysis on a communication protocol signal in a sample library, and converting a time-frequency spectrum diagram of the signal into a gray-scaleimage; training The depth residual network model by gray-scale image. The trained depth residual network model is used to detect and identify the specific communication protocol signals trained in thetransmission process. As that depth residual network is applied to the field of communication signal identification, the invention overcomes the defect of high signal quality requirement and high prior information requirement of the traditional method, etc. At low SNR, multipath delay, When Doppler frequency offset and some features of signal are obscured by strong interference noise, Doppler frequency offset can still accurately identify the protocol type, and it does not depend on the prior information of received signal, so it can directly process the received IF signal, and has robust performance and high efficiency, which provides ideas for the subsequent research in this field, and has strong practical application value.

The invention discloses an in-depth extracting method of a three-viewpoint stereoscopic video restrained by time-space domain. The method comprises the steps of searching an optimal matching point from left and right viewpoint images by aiming at a center viewpoint image, optimizing a parallax error estimation process based on an energy function by adopting a BP algorithm and a plane fusion method, adopting three-view parallax error and shielding information iterative optimization, establishing a time domain parallax error constraint relation between adjacent frames through an optical flow method, defining the confidence coefficient of the optical flow method, so as to restrain parallax error sequence time domain hopping, eliminating errors caused by parallax error value quantification by utilizing binomial sub pixel estimation and bilateral filters, obtaining the parallax error of sub pixel accuracy, quantizing the obtained parallax error, and then obtaining a final in-depth sequence. Compared with the prior art in which constraint is performed by adopting a single frame only, the method has the advantages that the method searches multi-reference frame optical flow, and can better avoid the propagation of space domain error on time domain, thereby being capable of obtaining a continuous and accurate in-depth image sequence on time-space domain through a three-viewpoint image.

The invention relates to a horizontal well staged fracturing numerical simulation method based on the unstructured grid. Appropriate grid subdivision processing is carried out to nearby areas of a horizontal well and a hydraulic fracturing seam, reasonable production power assignment is carried out to a heel end of the horizontal well, a finger end of the horizontal well, the section connected with the fracturing seam, and fine and accurate simulation to a horizontal well staged fracturing model is achieved. The horizontal well staged fracturing numerical simulation method comprises specific steps of a step 1 of establishing a horizontal well staged fracturing mathematical model; a step 2 of establishing a geologic model, dispersing a reservoir simulation area through an unstructured grid technology, establishing the geologic model according to geology, earthquake, well logging, test and production dynamic states, and coarsening the geologic model; a step 3 of carrying out subdivision processing to the grid data of the coarsened geologic model, carrying out multistage encryption processing to a local area, and obtaining a unstructured grid subdivision graph; and a step 4 of applying the mathematical model established in the step 1 to the reservoir geologic model processed in the step 3, and obtaining simulation reservoir data.

The invention relates to a method for extracting and organizing unstructured sheet document data under big data environment. The method comprises the following steps: firstly, analyzing the structure features and data stream features of an unstructured sheet document, and defining a data extraction rule; secondly, giving an unstructured sheet document data extraction flow and an extraction algorithm; thirdly, giving an organizing method for converting the extraction result into structured data; and finally, giving a method for analyzing a structured data set obtained on the basis of a MapReduce parallel programing model. The method provided by the invention is capable of providing technical support for mining the knowledges contained in the unstructured sheet documents under the big data environment.

The invention discloses an unbalanced ship classification method based on a deep convolutional neural network. The method comprises the steps of 1) obtaining basic data; 2) carrying out data processing; 3) constructing a model; 4) defining a loss function; 5) training a model; 6) applying the model. According to the invention, fine classification of ships and solving of the problem of unbalanced category data distribution are combined; on the basis of extracting the global features of the ship, the local features with category discrimination of the ship are introduced, so that the model learnsdetails of the ship, and the classification result is more accurate; a memory network and a fusion learning network are used for storing and emphatically learning samples which are difficult to learn; the learning of the samples is improved while the new samples are learned, the effect of rebalancing the category data distribution is also achieved, and the adverse effect on model training causedby unbalanced category data distribution in an actual scene is effectively avoided.

The present invention discloses a position adjusting and positioning device of a capacitive displacement and vibration sensor, which comprises an axial position adjusting and positioning assembly, a radial position adjusting and positioning assembly and a sensor installing and fixing assembly. The axial position adjusting and positioning assembly and the radial position adjusting and positioning assembly commonly realize the position adjusting of the sensor in the axial direction and the radial direction. The invention adopts a screw mechanism for realizing the axial position adjusting function and prevents the problem of cable winding of the sensor. The sensor installing and fixing assembly adopts a trapezoid compression ring fixing mode for fixing the sensor. The problem that the probe plane of the sensor is not parallel with the surface of the sensed object caused by the imperfect installation is prevented. The position adjusting and positioning device of capacitive displacement and vibration sensor has the advantages of simple operation and easy installation. The reasonable installation positioning design prevents the measuring error caused by the imperfect positioning and installing of the sensor.

The invention discloses a manual coal-mine-tunneling ventilation-air-cylinder air outlet control device. The manual coal-mine-tunneling ventilation-air-cylinder air outlet control device comprises a support, a hardness air cylinder and a guiding rail. The hardness air cylinder penetrates through the support, the guiding rail is arranged above the support, hanging cables are connected to the top of the guiding rail, a sleeve is fixed to the top of the support, a sliding block is fixed on the sleeve and matched with the guiding rail, a universal joint is arranged between the top of the hardness air cylinder and the support, a rotating piece of the universal joint extends into the sleeve, a swinging piece of the universal joint is fixed to the top of the hardness air cylinder, a plurality of blades are arranged on an outlet in the hardness air cylinder and form a circular-truncated-cone-type structure, the small end of the circular-truncated-cone-type structure is close to the hardness air cylinder, a blade opening-and-closing mechanism is arranged on the hardness air cylinder, and a turning adjusting rod is fixed to the bottom of the hardness air cylinder. The manual coal-mine-tunneling ventilation-air-cylinder air outlet control device is convenient to install and use and high in safe reliability, the problems that as the local ventilator power is continuously improved, and the diameter of the air cylinder is increased, circulation air is caused, the local air speed of a working area is super high, and the working condition is poor are solved, and an air-flowing field in a roadway can be reasonably controlled.

The invention relates to a compression method of the mass energy consumption information in an intelligent building, which comprises the following steps that: (1) the data on the monitoring end in the building are collected, and each record of the recording points of the collected data is one triple group (the tagid, the time and the data); (2) when the tense attribute value of some recording point is changed, the corresponding new data are stored into the first stage of buffering, then the next task is directly carried out, and the new data are stored into files through a background data storage thread; (3) the second stage of buffering is established; (4) a historical data compression region is arranged, and the data in a buffering region are transferred to a disk file after being compressed in the compression region; (5) the data files are organized by adopting the form of a file queue, and the next file in the file queue is started after the file is fully stored; and (6) the compressed data are stored into a storer and supplied to the required client to call after the compression is finished.

The invention relates to a radiation source identification method and device based on bispectrum three-dimensional image texture features. The method comprises the following steps: acquiring sample data of different radiation source signals and calculating bispectrum of signals to obtain bispectrum three-dimensional images; for bispectral three-dimensional images, extracting texture features by agray level co-occurrence matrix; for texture features, using a support vector machine to classify and identify the emitter. The invention avoids the problems of high characteristic dimension and lossof integral bispectrum part classification information and the like existing in adopting bispectrum alone. The steady-state signal RF fingerprint in individual identification of an emitter is extracted, sample information is fully utilized, the efficiency, application range and robustness of classifier training and recognition are effectively improved, and the advantages under different conditionssuch as noise immunity, small sample size, multi-target, and universality of different modulation modes are exhibited. The effectiveness of the classifier in the actual electromagnetic environment isverified by the actual radio signal, and the method and the device have important research values in improving the efficiency and robustness of classifier.

The invention belongs to the technical field of wireless communication, and particularly relates to a design method of a reflecting surface assisted device-to-device communication system. The scheme of the invention is as follows: a base station receives useful signals from cellular users and interference signals from D2D sending equipment multiplexing the same frequency band; and the D2D receiving equipment receives the useful signals from the corresponding D2D sending equipment and the interference signals from the cellular users sharing the same frequency band. According to the invention, the pairing scheme of the D2D pair and the cellular user is determined through a heuristic method, and the sending power of the D2D link and the cellular link and the passive beamforming of the reflecting surface are optimized in a combined manner, so that the maximization of the system sum rate is realized under the condition of meeting the communication rate requirements of the D2D user and the cellular user. Through simulation verification, under the conditions that normal communication of a traditional cellular system is not affected and energy, frequency spectrum and cost expenditure are not additionally increased, the system sum rate is greatly increased, and the method has very high application value and development potential.

The present invention discloses a flexible spacecraft sensor fault adjustment method, belonging to the field of aerospace flight control technology. A fault estimation module and a fault tolerance controller are mainly employed by the flexible spacecraft sensor fault adjustment method, and the method comprises the steps that: a filter and an adaptive observer are employed to form a fault estimation module; fault estimation information and sensor output signals are employed to establish the fault tolerance controller through combination of adaptive integral sliding mode control technology; through adoption of the Lyapunov stability theory, the asymptotic stability of a system is proved in a condition of generation of sensor faults; and finally, a simulation experiment result proves the validity of the method provided by the invention. The fault tolerance control problem when sensor measurement offset faults are generated in an operation process of a flexible spacecraft is solved so thataccurate control of an attitude angle in the sensor fault condition is achieved and the system has a high tolerance capability for the faults; and moreover, the method fully takes the consideration of disturbances generated by spacecraft parameter uncertainty and flexible accessories in the design process and is suitable for engineering application.