65results about How to "Reduce selection" patented technology

Provided are an unattended electric car rental system and a rental method. The system comprises a vehicle-mounted terminal, a user terminal and a management platform; and the vehicle-mounted terminal and the user terminal both perform data transmission with the management platform, and a wireless connection is formed between the vehicle-mounted terminal and the user terminal. The method comprises steps of: the management platform obtaining user information, obtaining user deposit, receiving information of a reserved vehicle, monitoring a time when a user picks up the vehicle, controlling the user to pick up the vehicle, verifying the user information, controlling starting up and running of the vehicle, controlling the user to return the vehicle, the management platform performing automatic deductions, and introducing a whole process of implementation of vehicle renting. The system provided by the invention is novel in design, and is convenient for the user to use; a rental process does not need the participation of staff members, thereby implementing unmanned renting. The method provided by the invention provides more convenience for the user in a renting process, and real-time feedback of information enables the user to timely obtain related information, thereby ensuring rights and interests of rental enterprises and users.

The invention belongs to video encoding technology, in particular to an interframe fractional order movement searching method of H.264. The invention solves the technical problem that a selection method of a macro partition mode can rapidly partition a macro block in the movement searching. The selection method of the macro partition mode in the movement searching uses a threshold valve to judge SAD value of a partitioned block, thus judging matching degree of a block in the current mode; if the partitioned block has higher matching degree in the current mode, other modal partitions are not carried out on the partitioned block so as to reduce quantity of selection of the macro block partition mode; if the partitioned block has lower matching degree in the current mode, other modal partitions are carried out on the partitioned blocked so as to guarantee interframe precision of prediction. The invention can effectively reduce quantity of selection of the macro block partition selection mode and movement searching times of the block, thus improving arithmetic speed of an encoder.

The invention relates to a method for detecting the angular points of checkerboards under a complicated background, and belongs to the technical field of computer information image processing. The method comprises the following steps: firstly, down-sampling an image, then up-sampling the image, dividing the image into three passages RGB at the same time, detecting the regions respectively, extracting the border of the image by adopting Canny operator, and then dividing the image by adopting an adaptive threshold; approximating the rectangles in the image by adopting the Douglas-Peucker method so as to detect the rectangular regions in the image; obtaining the peak of each rectangle after detecting the rectangles, and clustering angular points of the same type; and statistically averaging the angular points of the same type, of which the amount is maximum in a neighbor range to detect the obtained angular points. The invention provides a method for detecting angular points on the basis of rectangles. The method which detects specific angular points by utilizing the symmetry and rectangular characteristic of the image of a checkerboard has the advantages of good real-time property and reliability.

The invention discloses a task scheduling method of a distributed trans-coding system comprising a plurality of trans-coding servers and user terminals, and a scheduling server arranged between the trans-coding servers and the user terminals. The method comprises the following steps of: registering information of each trans-coding server in the system in the scheduling server; feeding back the working state information of each trans-coding server to the scheduling server by each trans-coding server; and scheduling the corresponding trans-coding tasks to the corresponding trans-coding servers by the scheduling server in accordance with the working state information. The invention can ensure that the trans-coding tasks are more efficiently and more reasonably scheduled and system resources are saved.

The invention discloses a steering control method and device of an intelligent vehicle. The method comprises: step 1, collecting driving information, expected path information and obstacle information from the vehicle; step 2, according to the information collected in the step 1, selecting a minimum preview distance and a maximum preview distance; step 3, according to the minimum preview distance and the maximum preview distance, determining a current preview distance and a current preview point corresponding to the current preview distance; step 4, according to the current preview point and vehicle information, generating a double-circular-arc synthetic curve; step 5, according to the double-circular-arc synthetic curve, determining a front wheel expected rotating angle; step 6, judging whether the double-circular-arc synthetic curve meets a safety driving principle or not; if so, determining the front wheel expected rotating angle as a final front wheel expected rotating angle; otherwise, returning back to the step 3. The steering control method and device of the intelligent vehicle, provided by the invention, can be used for controlling the vehicle to steer according to the double-circular-arc synthetic curve; finally, the direction of the vehicle is the same as that of an expected path.

The invention relates to an image stitching method. A traditional image stitching method is not good in effect. The image stitching method includes the steps: firstly, selecting a coarse registration area and carrying out pairwise weighted average on pixel values at the positions of overlapping coordinates of initial areas of two images, obtaining a reserved image, then, scanning an energy matrix of the reserved image line by line, obtaining a minimum energy line after calculation, obtaining a strip-shaped area by serving the minimum energy line to as a center to expand to two sides, respectively finding corresponding registration areas from the initial areas of the two images, carrying out image fusion on all the pixel values in the registration area of the two images to obtain a stitching area, and then finishing image stitching. According to the image stitching method, not only can an optimal matching seam be found rapidly, but also selection of an image fusion area can be reduced, and an optimized stitching image can be obtained.

The invention discloses a deep convolutional neural network model adaptive quantization method, and designs a deep convolutional deep network low-bit quantization algorithm suitable for FPGA calculation, which mainly comprises preprocessing of network model parameters and a grouping adaptive quantization method of a parameter set. the method includes: acquiring dynamic thresholds to perform coarse-grained cutting on the original parameters of the model; constructing an initial clustering center point set suitable for FPGA shift calculation; grouping and clustering the preprocessed model parameters based on a mode length minimization method; finally, overlaying the clustering center point set with the non-null parameter class, achieving self-adaptive low-bit quantization of different networks through optimization; the quantization algorithm is moderate in complexity and quite conforms to the calculation characteristics of the FPGA, hardware resource consumption on the FPGA is reduced, and the model reasoning speed is increased while the model reasoning precision is guaranteed.

The invention discloses a rocker arm wheel type ground unmanned platform. The rocker arm wheel type ground unmanned platform is characterized by comprising a vehicle body and six independent wheel systems, and the wheel systems are symmetrically arranged on the two sides of the vehicle body; in the wheel systems, hub motors are arranged in wheel drive units located on the outer side of the vehicle body so that the ground unmanned platform can be driven and walk, the wheel drive units are connected with the vehicle body through rocker arm transmission units; and the rocker arm transmission units are connected to the wheel drive units through rocker arms externally hung on the side portion of the vehicle body in a suspension manner, rocker arm drive motors are used for making the rocker arms rotate on the outer side of the vehicle body with the axes of rocker arm bearings as rotary axes, and different motion postures of the ground unmanned platform are obtained. The six independent wheel systems control the positions of the respective rocker arms and the rotation speeds and the torque of the respective wheels so that the ground unmanned platform can adapt to various complex terrains, and the requirement for all-terrain passage is met.

The invention relates to a cotton-opening roll for removing foreign fiber, characterized by comprising a roller, a plurality of opening teeth arranged on the roller in a spiral arrangement mode and a plurality of spiral arc fasteners arranged on the opening teeth. Each opening tooth comprises a tooth top part and arc parts, wherein the arc parts are symmetrically distributed at both sides of the tooth top part, respectively provided with connecting light holes and arranged on the roller; the spiral arc fasteners are arranged above the arc parts of two adjacent opening teeth; and the spiral arc fasteners, the arc parts of the opening teeth and the roller are fixed together through screws. The cotton-opening roll for removing the foreign fiber has good opening effect, is suitable for cotton foreign fiber detection and removal equipment, is portable and convenient to select spare part materials, has the advantages of simple processing process, lighter whole weight, higher coaxiality, smaller centrifugal force and stable operation and can be driven by a small-power motor.

The invention relates to the technical field of jacquard design and particularly relates to a design method of full-color warp color developing jacquard. Only 6 kinds of color warps and 4 kinds of black-white wefts different in thickness are adopted, jacquard design and the retouching process are omitted, and corresponding color chart structures are directly spread on a color separation image; and through interlacing, the fabric is of rich color levels, the pattern effect is vivid, and innovative development design of a multi-color warp jacquard product is realized.

The invention provides a micro-expression recognition method, a device and a storage medium. The method comprises the following steps: detecting the facial features of a target face image collected inadvance, and obtaining at least five facial feature points of the target face image; according to the facial feature points of the target face image and the preset image partitioning rules, cutting the target face image into blocks to obtain a plurality of blocks, according to the plurality of image blocks, obtaining the microexpression classification result through a convolution neural network model established in advance. According to the obtained facial feature points and preset image partitioning rules, the target face image is processed by slicing, and a plurality of image blocks obtained after slicing are recognized and classified by adopting a convolution neural network, so that the speed and the precision of the micro expression recognition can be effectively improved, and the working efficiency of the micro expression recognition can be greatly improved.

The invention discloses a boosting algorithm-based construction method and construction system of a Kawasaki disease risk assessment model. The construction method includes the following steps that: valid samples that can be used for modeling assessment are extracted from a sample data set; 10 features that meet on-site medical auxiliary diagnosis application are selected from the feature set of the valid sample; the incomplete data set of the valid samples is randomly divided into a training set and a verification set; a boosting method is adopted to fit the training set, so as to perform model construction, and a ten-fold cross-validation method is adopted to record optimal model parameters; and the verification set is adopted to calculate a model classification threshold t according toan ROC curve, and therefore, the Kawasaki disease risk assessment model is constructed. The invention also provides a corresponding Kawasaki disease risk assessment system for assessing data to be assessed so as to obtain a KDx score. With the system and method of the invention adopted, the rate of misdiagnosis and the rate of missed diagnosis of the Kawasaki disease can be decreased, and patientscan obtain effective prevention, intervention and treatment in the early stage of the disease.

The invention discloses a construction method and a construction system for a Kawasaki disease risk assessment model based on a neural network algorithm. The construction method comprises the steps: extracting valid samples which can be used for modeling and assessment from a sample data set; selecting ten features meeting field medical auxiliary diagnostic application from the feature set of thevalid samples; randomly dividing the incomplete data set of the valid samples into a training set and a validation set; fitting the training set by using the neural network method to construct the model and recording the optimal model parameters by using the ten-fold cross-validation method; and calculating the model classification threshold t by using the validation set according to the ROC curveso as to construct the Kawasaki disease risk assessment model. The corresponding Kawasaki disease risk assessment system is also constructed to be applied to assessment of the data to be assessed soas to obtain the KDx score. The misdiagnosis rate and the missed diagnosis rate of the Kawasaki disease can be reduced so that the patients can obtain effective prevention, intervention and treatmentin the early stage of the disease.

The invention provides a psychological behavior recognition method, a device and a storage medium. The method comprises the following steps: the facial features of a target face image collected in advance are detected, and at least five facial feature points of the target face image are obtained; according to the facial feature points of the target face image and the preset image partitioning rules, the target face image is segmented and several blocks are obtained; according to several image blocks, the emotional feature combinations corresponding to the target face images are obtained through the convolution neural network model established in advance; according to the combination of emotional features corresponding to the target face image, the psychological behavior recognition resultscorresponding to the target face image are obtained through the pre-established psychological behavior recognition model. The method extracts the combination of emotion features from the target faceimage by convolution neural network model, and recognizes the combination of emotion features. The method can improve the accuracy of psychological behavior recognition from the recognition of the target face image.

The invention discloses an online fuzzy least square support vector machine sintering process kinetics modeling algorithm. The algorithm fuzzily divides online input k+L groups of data vector space by using a fuzzy c mean value objective function, provides an input space fuzzy membership computing method, constructs a Langrange function according to a structural risk minimization principle, designs a model optimization object of the k+L groups of data according to a KKT optimal solution condition, and solves a model parameter and a model solution, determines the rolling characteristic of the data and whether to roll the online data to k+L+1 to update the model. The modeling algorithm introduces an input data fuzzy clustering idea so as to enhance the generalization capability of the model, and introduces the concept of a rolling time window so as to enhance similar solid sintering process online modeling practical performance.

The invention relates to the field of traditional Chinese medicine treatment, in particular to a device and method for classified treatment of traditional Chinese medicine. The device is mainly suitable for pretreatment of radix paeoniae alba, radix angelicae and cortex moutan. The device comprises a control system, a delivery track, a feeding device, a cleaning device, a drying device, a slicing device and a classified detection device, wherein the feeding device, the cleaning device, the drying device, the slicing device and the classified detection device are sequentially arranged in the traditional Chinese medicine delivery direction. The cleaning device, the drying device, the slicing device and the classified detection device are all arranged on the delivery track. The control system is in communication with the delivery track, the slicing device and the classified detection device. By the adoption of the device, fully-automatic cleaning, drying, slicing and classification can be achieved, and time and procedures for later classification of traditional Chinese medicine can be reduced. By the adoption of the method, labor and material resources can be saved, classified treatment of traditional Chinese medicine can be achieved within a short period of time, and the production cost can be saved.

The invention relates to the field of traditional Chinese medicine stage treatment and in particular to traditional Chinese medicine stage treatment equipment and a traditional Chinese medicine stage treatment method. The traditional Chinese medicine stage treatment equipment is mainly suitable for pre-treatment of radix paeoniae alba, radix angelicae and moutan barks. The equipment comprises a control system, a transfer track, and a feeding device, a purging drying device, a slicing device and a stage detection device which are successively arranged along a traditional Chinese medicine conveying direction. The purging drying device, the slicing device and the stage detection device are arranged on the transfer track. The control system is in communication connection with the transfer track, the purging drying device, the slicing device and the stage detection device. The equipment can realize full-automatic cleaning, drying, slicing and staging, so that the time and program for follow-up medicinal material grading are reduced. The method is labor-saving and material resource-saving, and can perform stage treatment on traditional Chinese medicines within a relatively short time, so that the production cost is lowered.

The invention discloses a multi-resolution WENO format and ILW boundary processing combined fixed-point rapid scanning method, and the method comprises the following steps: converting a steady hyperbolic conservation law problem into a time-dependent hyperbolic conservation law problem, and processing an object surface boundary by using a novel five-order ILW boundary processing method; discretizing a space part of the hyperbolic conservation law equation by using a finite difference multiple resolution weighting basic oscillation-free format; discretizing a time part in the control equation by using a three-order Runge-Kutta method and a fixed-point rapid scanning method; obtaining an approximate value of each point of the next time layer according to a space-time full-discrete method, and obtaining a numerical simulation result when the residual error of the conservation variable in the calculation region tends to be stable. According to the method, the advantage that the high-orderprecision of the calculation format near the boundary of the object plane is not reduced can be kept, the use number of space templates is effectively reduced, parameters needing to be manually adjusted are reduced, implementation is simpler, and implementation is easy.

The invention relates to the technical field of fabric weaving, particularly to a full-color warp coloring jacquard fabric weaving and designing method. The full-color warp coloring jacquard fabric weaving and designing method specifically comprises the following steps of warp and weft determination, primary color texture design, primary color palette design, pattern adjustment, pattern color separation, texture laying and fabric weaving. According to the full-color warp coloring jacquard fabric weaving and designing method with color mixing prior to texture configuration, color expression for any pattern can be achieved only through 10 primary color textures, so that the design efficiency can be improved, and meanwhile, fabric color richness can be greatly enhanced, and accuracy of weaved color gradation can be ensured.

The invention relates to a nano rare earth zeolite coating. A nano material and functional groups are grafted by activating a microporous material and dispersing modified adsorbed nanoparticles; by means of physical action such as photocatalytic action and dipole moment, harmful substances, for example, TDI released by carbon monoxide, hydroxide, formaldehyde, benzene and polyurethane, in air aredecomposed and absorbed, so that the coating has the novel functions of removing smoke smell, odor, being mildewproof and antibacterial, killing bacteria and viruses, regulating temperature and humidity and purifying indoor air. Moreover, the coating releases negative ions and far infrared rays and diffuses plant fragrance permanently, and the color of the pattern is selected randomly. The coatingis bagged, so that the cost is saved. The materials are easily selected, and the coating is low in production cost, pollution-free, high in cost performance and high in scientific content. During construction, no glue is used, and the coating is directly sprayed, brushed, roll-sprayed and scrape-sprayed. The coating is good in adhesion, smooth in hand feeling, bright and flexible in feeling and comfortable and attractive. The coating is widely applied to the field of coating of buildings, and is suitable for the occasions such as habitable rooms, office rooms, hospitals, hotels and restaurants.

The invention belongs to the technical field of image processing, and relates to a quick prospect extraction method, in particular to a method for solving and inputting an unknown pixel alpha value of the image. The method defines and makes full use of the internal relationship between adjacent pixel alpha values so as to achieve the purpose of prospect extraction, and comprises the following steps that: an original image and a corresponding trimap are input, a prospect sample point, a background sample point and an unknown pixel are determined, the unknown pixel is selected, the confidence of each prospect background sample pair of the unknown pixel is calculated, the prospect background sample pair with the high confidence is selected to calculate and obtain the initial alpha value, and the final alpha value of the unknown pixel is calculated and obtained according to the internal relationship. When being used for prospect extraction, the method can achieve similar effect of previous methods, but the speed can be improved by 25 times on average.

The invention provides a method for improving quality, reducing cost and improving efficiency of ceramic raw materials prepared from granite stone waste rocks. The method comprises the following steps: multi-stage crushing, laminated crushing, coarse grain pre-selection, pre-grading, partial ore grinding, multi-stage magnetic separation, grading separation, superconducting strong magnetic separation, grading dehydration and the like. The method is a pollution-free and environment-friendly physical technology in the whole process; compared with a traditional process, the comprehensive technicaland economic indexes are obviously improved, high-quality glass and ceramic raw materials with the K2O content of 6-10wt%, the Na2O content of 0.5-3.5wt%, the SiO2 content of 65-74wt% and the Fe2O3 content of 0.15wt% and the whiteness of 60-68 are obtained, the whiteness of the product is improved from 50-53 to 60-68 degrees, the yield is improved from 51-55% to 65-72%, and the treatment capacitycan be improved by 13-18%; the product structure is refined and diversified, and a proper product is provided for material homogenization, energy conservation and consumption reduction in the downstream glass and ceramic industry machining process.

The invention relates to a method for reducing calculating time of an intelligent optimization algorithm. When optimization solution is performed on an optimization design problem of high overlap ratio herringbone gear modification in the field of machinery design by means of a genetic algorithm (GA), profile modification parameters are used as design variables, and a root-mean-square value of vibration acceleration along a meshing line direction is used as an objective function. The process of fitness value calculation is complicated, which includes herringbone gear loaded tooth contact analysis (LTCA), non-linear dynamics differential equation solution and the like, and consumed time of fitness value calculation can not be accepted in engineering. Therefore, by means of the method for reducing calculating time of the intelligent optimization algorithm, in order to reduce the calculation time in the calculation process of fitness values by the GA, the key is predication of fitness values of a part of calculation individuals, and time-wasting fitness value calculation is replaced.

The invention discloses a power supply framework integrating AC / DC and wide-input DC / DC designs. The framework includes a power module and external elements. The power module includes an aluminum substrate which has a size of a whole brick and a control panel. Power devices which are heating in a circuit are welded on the aluminum substrate. Control devices are installed on the control panel. The control panel and the aluminum substrate are connected into an up-down structure through a pin structure and can also be connected into a plane structure through a wire. The external elements include a rectifying bridge, an input PFC inductor and a PFC output capacitor. The inductor is capable of being installed on the aluminum substrate according to difference of conditions. When a power supply is of wide voltage DC input, the PFC inductor can be saved. The power supply frame work integrating all heating power devices onto the aluminum substrate so that heat radiation is convenient and a power supply circuit is simplified sufficiently and different power supplies can be designed through addition of simple external elements so that labor cost is reduced and the framework is capable of significantly shortening a research and development cycle.

The invention discloses an automatic pipe cutter based on an embedded integrated system. The automatic pipe cutter comprises a frame, a length measurer, a compressing device and a cutting machine. The cutting machine is provided with an automatic cutting system and a detection integrated system which is in signal connection with the automatic cutting system. The cutting machine exchanges data with the detection integrated system. The cutting machine is capable of accurately calculating current pipe length and correctly calculating cutting times of qualified products and cutting times of unqualified products. The automatic pipe cutter based on the embedded integrated system has the advantages that pipes are automatically sorted and cut, economic benefit is good, the subsequent selecting and processing steps for unqualified products are reduced, and production efficiency is improved.

The invention discloses an easy-to-assemble central motor adopting first-stage gear speed reduction transmission. The central motor comprises a shell, and a motor core, a middle shaft, a one-way clutch, a first-stage gear reduction mechanism and a crankset positioning shaft sleeve which are installed in the shell, and the crankset positioning shaft sleeve is arranged on the middle shaft and used for fixing a crankset. The motor core is in the form of an outer rotor and an inner stator and comprises a rotor, a stator and a core shaft parallel to the middle shaft, and the stator comprises an annular stator support arranged on the periphery of the core shaft and fixed to the inner wall of the shell, and a stator coil thereof. The one-way clutch is characterized in that the one-way clutch is arranged on the core shaft and is connected with the rotor; the annular stator support and the shell are respectively provided with at least one machine core shaft bearing used for supporting the coreshaft; one end of the core shaft extends out of the annular stator support to form a cantilever; and the cantilever is in transmission connection with the crankset positioning shaft sleeve through thefirst-stage gear speed reduction mechanism. On the basis of keeping the functions of the original central motor, the motor is easier to assemble and lower in production cost, and the production efficiency can be remarkably improved.

The invention discloses a conversion method of a vegetation ecological parameter remote sensing estimation model. The conversion method comprises the following steps: establishing a spectral responsefunction relationship model of a used sensor and a to-be-used sensor; establishing a to-be-used sensor expression suitable for the used sensor according to the spectral response function relationshipmodel; according to the expression of the sensor to be used, establishing a remote sensing estimation conversion model of the vegetation ecological parameter used sensor; estimating vegetation ecological parameters by using a sensor to be used based on the remote sensing estimation conversion model; wherein the vegetation ecological parameter remote sensing estimation models among different sensors are converted, early-stage work such as training sample selection is reduced, rapid and efficient vegetation ecological parameter remote sensing estimation model conversion among different sensors is achieved, and regional vegetation ecological parameters can be accurately estimated.

The invention provides a design method for an anti-interference PID controller, and the method comprises the steps: constructing an anti-interference PID control structure which comprises a pre-filterand a PID feedback controller; for the established anti-interference PID control structure, carrying out equivalent transformation of a structure diagram through anti-interference control designed bya control system, and obtaining the composition of the pre-filter and the composition of the PID feedback controller; determining a final form of the anti-interference PID control structure accordingto the relative order of the controlled system; and selecting parameters of the anti-interference PID control structure. The invention further provides a design device of the anti-interference PID controller. The method and the device have the advantages that the anti-interference PID controller designed by the technical scheme of the invention has active anti-interference capability and relatively good robustness; meanwhile, few parameters are selected, the physical significance is clear, and the control effect is excellent.

The invention relates to a method for preparing a high-performance polyvinylpyrrolidone / silver selenide / nylon flexible composite thermoelectric film. The preparation method comprises the following steps: (1) taking a selenium nanowire as a template, reacting the selenium nanowire with silver nitrate in an ethylene glycol solvent, and adding polyvinylpyrrolidone in the reaction process to prepare apolyvinylpyrrolidone-coated silver selenide multi-scale nano structure; and (2) dispersing the polyvinylpyrrolidone-coated silver selenide multi-scale nanostructure in absolute ethyl alcohol, takinga nylon filter membrane as a substrate, and performing suction filtration, vacuum drying and hot pressing to obtain the target product polyvinylpyrrolidone / silver selenide / nylon composite film. Compared with the prior art, the flexible thermoelectric thin film with high performance can be prepared, and the thin film is used for manufacturing a thermoelectric device with high output performance tosupply power to a wearable electronic device.

The invention discloses a nanometer water-based fireproof coating. The nanometer water-based fireproof coating comprises a component A, a component B and a component C, wherein the mass percentages ofthe component A, the component B and the component C sum to 100%. The component A comprises the following raw materials in percentage by mass: 0.1 to 0.2% of cellulose, 0.8 to 1.5% of propylene glycol and 0.1 to 0.2% of inorganic bentonite, 12%-12.5% of ammonium polyphosphate, 10%-12% of melamine, 8%-9% of pentaerythritol, 2%-3% of chlorinated paraffin, 2%-3.5% of nanoscale titanium dioxide, 1%-1.5% of nanoscale silicon dioxide, 4%-5% of talcum powder, 10%-10.5% of wollastonite powder, 8%-8.5% of mica powder, 0.3% of microsphere powder and purified water. The component B comprises 8 to 10% ofan emulsion and 6 to 8% of a silicone acrylic emulsion. The component C comprises 0.1-0.15% of a defoaming agent. According to the invention, the carbon layer strength of the coating after combustionis increased, a compact carbon layer film is formed, flame retardant effect is more outstanding, fire endurance can be increased to 2 h, and cost is saved.