60results about How to "Uniform sampling" patented technology

The invention discloses a new asymmetrical panoramic video mapping method and a corresponding inverse mapping method. The mapping method comprises the steps of mapping a sphere corresponding to a panoramic image or a video A into a two-dimensional image or a video B; projecting the sphere to an isosceles rectangular pyramid with a quadrate bottom surface, and then projecting the rectangular pyramid to a plane; adopting isometrical projection for a region of a main viewpoint in projection and adopting a higher sampling density to ensure high video quality of the region of the main viewpoint; and adopting a lower sampling density for a region of non-viewpoint to save a code rate. With the asymmetrical mapping technology for the panoramic video, the resolution ratio of other regions in the video is greatly reduced and the code rate needed for encoding of a virtual-reality video is effectively saved on the premise of guaranteeing the video quality of the region of the main viewpoint unchanged. The asymmetrical mapping technology for the panoramic video provides a method for mapping the video from the plane to the sphere; and through the method, a planar video can be mapped back to thesphere for rendering and viewing.

The invention discloses a geotechnical triaxial test sample preparation split round mold and a sample preparation method, belonging to the technical field of civil engineering equipment. The split round mold comprises two parts, namely a split cylinder and a lantern ring, wherein the split cylinder is axially divided into a split cylinder a and a split cylinder b; a U-shaped hole is formed in the split cylinder a; four grooves are formed in the bottom of the split round mold, so that the split round mold is firmly attached to a pressure chamber base; a vacuum exhaust opening is formed in the split cylinder a and is connected with an exhaust bolt and a rubber exhaust guide tube, so that a rubber membrane covers and is tightly attached to the inner surface of the split mold so as to form a uniform sample; the lantern ring is made of stainless steel, the thickness of the lantern ring body is 0.5mm, a bolt rod is connected to the ring body, and the split cylinder can be clamped. The split round mold disclosed by the invention is convenient and rapid to assemble and firm to clamp, the two 1/2 split cylinders are spliced to form two connecting gaps, and the manufactured geotechnical triaxial test sample is uniform in compactness, so that reliable geotechnical triaxial test data can be acquired.

The invention belongs to the technical field of cold-strip steel, and particularly relates to a cold-strip steel surface quality management system and method. To overcome the deficiency of an existingon-line cold-strip steel surface quality detection system, a defect sample is established, a cold-strip steel surface quality defect handling countermeasure table is established, the cold-strip steelsurface quality detection is associated with quality improvement, the cold-strip steel surface detects are matched with the defect sample to judge the surface quality grade of strip steel with the cold-strip steel surface quality defects, and therefore the production technology is guided to be improved, and the cold-strip steel surface quality is improved. In addition, the angular distance methodis adopted to eliminate abnormal samples, and therefore the defect sample marking accuracy rate can be improved.

The invention discloses a spatial pyramid object identification method based on kernel function matching. The spatial pyramid object identification method comprises the following steps of extracting an efficient dense scale-invariant feature transform (ED-SIFT) descriptor of an object image; clustering the ED-SIFT descriptors of a training sample by means of a k-means++ clustering algorithm, obtaining a visual dictionary; introducing a spatial pyramid, obtaining visual word histograms of the training sample and the testing sample by means of kernel function matching; and finishing training sample training and testing sample identification by means of a SVM classifier. The algorithm represented by the invention has relatively high identification degree on image object identification. Furthermore on condition of relatively small number of training samples, high classification effect can be obtained through utilizing the simple SVM classifier.

The invention discloses a random sampling method, which comprises the following steps: network equipment receives data packet and reads from a sampling counter; the network equipment calculates the value of the sampling counter and the quotient N of the sampling period; the network equipment makes decision whether or not to sample the received packet data. The embodiment in the invention provides an efficient and reliable sampling technique. The quotient N changes in every sampling periods, so that the sampled data packets determined by the quotient N in each sampling period are different. The invention can easily perform uniform sampling to data stream.

The invention discloses an RGB-D image variable metric super voxel segmentation method. By adopting Poisson disk sampling, seed points are selected in data, and iteration clustering is carried out according to color distances and spatial distances between data points and the various seed points, and then an initial super voxel segmentation result is acquired. The super voxels acquired by the initial segmentation are used as vertexes, and the adjacency relations of the super voxels are used as edges to form an undirected graph, and the super voxel integration is carried out by adopting a method based on a graph theory. Super voxel segmentation results having different dimensions are acquired in the same RGB-D image, and the variable metric super voxel segmentation is realized. The RGB-D image variable metric super voxel segmentation method belongs to data pretreatment, and by using the acquired super voxels by segmentation, the large-scale super voxels are acquired in the area having high data consistency, and the small-scale super voxels are acquired in the area having the poor data consistency, and the method is capable of satisfying a human visual cognition characteristic in a better way.

The invention relates to big data, and provides an information propagation path analysis method, which comprises the steps of obtaining propagation record information of a network; dividing the network into at least one community network according to the propagation record information, and determining candidate sampling nodes and initial propagation nodes in each community network; calculating thenode composition proportion of the connecting nodes, the key nodes and the common nodes in the candidate sampling nodes through the node type identifiers of the candidate sampling nodes; determininga sampling strategy based on the calculation node composition proportion and a preset node association relationship, wherein the node association relationship comprises connection node association keynodes, and the key nodes are associated with common nodes; sampling the initial propagation nodes and the candidate sampling nodes according to a sampling strategy; and visually presenting the collected initial propagation nodes and candidate sampling nodes to generate an information propagation path diagram. In addition, the invention also relates to a blockchain technology, and the propagationrecord information can be stored in the blockchain. According to the information propagation path analysis method, the accuracy of information propagation path analysis is improved.

A subject (10) is disposed adjacent a linear detector array (18) of a nuclear camera. The subject (10) is injected with a radioactive isotope (14) and .gamma.-ray emissions indicative of nuclear decay are detected at the detector array (18) as the detector array rotates about an axis of rotation to collect data over a circular field of view. Detectors farther from the axis of rotation are sampled at a higher sampling rate such that the detectors are sampled after a generally constant arc of rotation to correct for angular aliasing. The detector array (18) rotates about the axis of rotation in a 1/sin .theta. pattern with angular offset of the detector array from a longitudinal axis of the subject. This corrects for otherwise uneven sampling. A reconstruction processor (46) reconstructs the identifications of the .gamma.-ray receiving detectors, or other indicators of event detection location, and the digital peak values to generate a spherical image representation.

The invention discloses a PI line selecting and sampling method, PI line selecting and sampling device, a CT image reconstruction method and a CT image reconstruction device. The PI line selecting and sampling method comprises the following steps: selecting PI lines which are parallel with one another and distributed at equal intervals and which are projected on to an XY plane; and selecting sampling points which are at equal interval on the PI lines. The CT image reconstruction method adopts a technical scheme that the selected sampling points are reconstructed according to the projection data associated with the PI lines obtained by the PI line selecting and sampling method disclosed by the invention, and sampling the reconstruction result into uniform pixels under a right-angle coordinate. The technical schemes of the PI line selecting and sampling device and the CT image reconstruction device, which are disclosed by the invention, correspond to those of the PI line selecting and sampling method and the CT image reconstruction method, which are disclosed by the invention, respectively. Globally consistent sampling points can be obtained by adopting the technical schemes provided by the invention.

The invention relates to the field of traffic data analysis, in particular to a subway passenger congestion degree prediction method adopting a resampling recurrent neural network. The method comprises the following steps: 1, carrying out pretreatment; training sample data are set according to the original data; setting crowding degree label, dividing the sample data into n sub-sample sets according to the congestion degree labels, resampling the sub-sample sets to obtain resampling sequences, inputting the resampling sequences into a recurrent neural network model to train the recurrent neural network model, evaluating the recurrent neural network model, and adjusting resampling weights according to an evaluation result until the evaluation result is good. In the prior art, random sampling is often carried out from training sample data, but different types of samples are distributed unevenly, so that a recurrent neural network model overfits most samples and underfits few samples, andinaccurate prediction is caused. According to the method, secondary sampling is carried out on the samples through resampling, so that the model is fully trained, and the prediction precision is effectively improved.

The invention provides an ultrasonic mechanical linear scan probe with a vibration-reduction function. A probe main frame is composed of a base plate and a main ring which is integrally connected to the surface of the base plate, the base plate is fixedly connected to the front end surface of a stepping motor through bolts, and a motor shaft of the stepping motor penetrates through the base plateand is fixedly connected with an eccentric gear which is located in the main ring. A front end opening of the main ring is horizontally provided with a linear guide rail along the diameter, the linearguide rail is provided with a transducer stand, the front end of the transducer stand is fixedly provided with an ultrasonic transducer, and the eccentric gear is provided with a deflector rod whichis used for driving the transducer stand to move along the linear guide rail. By means of the ultrasonic mechanical linear scan probe as a two-dimensional ultrasonic probe, high-quality and high-frequency ultrasonic images can be obtained; the probe can effectively reduce mechanical vibration brought during mechanical linear scanning of the probe; under the condition that a driving motor unidirectionally rotates at the constant speed, and the linear movement speed of the ultrasonic transducer is in a sine mode, it is achieved that sampling is uniformly conducted in a linear scanning range at equal space intervals, and the starting position of the ultrasonic transducer can be accurately detected when the ultrasonic transducer collects the images.

The invention provides a spectral imaging method adopting a special-shaped blue noise coding aperture. The spectral imaging method adopting the special-shaped blue noise coding aperture specifically comprises the following steps: irradiating a target to be imaged with a light source to obtain hyperspectral three-dimensional data, wherein the hyperspectral three-dimensional data are imaged on a hexagonal blue noise coding aperture through a lens and modulated by the coding aperture, and the modulated hyperspectral three-dimensional data are dispersed through a dispersion prism and then imaged on a CCD detector through the lens; and recovering the hyperspectral three-dimensional data of the target to be imaged by utilizing the data detected on the CCD detector. According to the spectral imaging method adopting the special-shaped blue noise coding aperture, in the coding aperture, hexagonal pixels are used for replacing square pixels to form a honeycomb array, because the pixels of the coding aperture are hexagonal, the pixels of a focal plane are rectangular, geometric dislocations exist between the coding aperture and the focal plane, a mathematically equivalent rectangular gray-scale coding aperture is generated by the geometric dislocations, the degree of freedom of modulation is increased, and the reconstruction quality is improved.

The invention provides a concentrate sampling machine driven by a belt delivering concentrate to resolve the problem that manual sampling is large in labor intensity. A plurality of sampling spoon heads of the sampling machine are positioned on the circumference of a rotary plate which is connected with a coaxial rotary shaft located on a support, the circumference where the sampling spoon heads are positioned is secant with the surface of the belt delivering the concentrate, a scraping blade is tangent with the circumference where the sampling spoon heads are positioned, and a material receiving hopper is arranged under the scraping blade.

An energy-saving cooker of an electromagnetic oven comprises a cooker wall (2) and a cooker bottom (3) which is connected with the cooker wall (2) into a whole and used for receiving energy of electromagnetic waves. The cooker bottom (3) is of a structure with two to five layers, the outer surface layer of the cooker bottom (3) is a metal sheet (1), and a plurality of bosses (4) are arranged on the metal sheet (1). The energy-saving cooker of the electromagnetic oven has the advantages that the electromagnetic oven can be prevented from making direct contact with the metal sheet which serves as a heating body and is high in temperature and nonuniform in heat, the finally received heat is uniform, temperature changes smoothly, a temperature sensor inside the electromagnetic oven is uniform in sampling, excessive protection restraint cannot be produced, and energy transformation ratio of electromagnetism is improved.

The invention discloses a plug-in sampling device of a mixed gas burning type heat value instrument. The sampling device comprises a three-way valve, a shoot-through ball valve, a ball valve and a sampling pipe which are successively arranged from top to bottom, wherein the sampling pipe is provided with eight opening holes which are arranged in an interval manner along a length direction, and the diameters of the opening holes are successively enlarged from top to bottom. The invention also designs an application of the plug-in sampling device of the mixed gas burning type heat value instrument. The plug-in sampling device of the mixed gas burning type heat value instrument and the application thereof disclosed by the invention have the advantages that a gas sample can be uniformly obtained, and the composition characteristic of the gas is really reflected, so that the measurement of the heat value of mixed gas is exact.

The invention relates to a fiber distributor, which is mainly used for manufacturing the detection samples of various textile material fibers such as cotton, linen, fur, silk, chemical fiber and the like. The fiber distributor comprises a fiber scattering distribution device, a control circuit and a power supply, and is characterized by also comprising a slide translator, wherein the fiber scattering distribution device is positioned above the slide translator. The fiber distributor has the advantages of simple operation, uniform distribution and short distribution time, is suitable for distributing various fibers with different sizes, uniformly distributes the fibers and greatly increases the accuracy of fiber diameter measurement. Moreover, the fiber distributor is easy to clear and avoids the secondary pollution during the test.

The invention discloses an MBT garbage permeameter with a compaction hammer and a convenient-to-move permeation column and an adjustable water head. The bottom of the permeation column is fixed with a water inlet disc, a water inlet of the water inlet disc is connected with a water outlet of the water storage device, and two threaded holes are formed in the water inlet disc; the two permeation column straight rods fixed at the top of the permeation column and the sliding track provided with the vertical track section form a rolling friction pair; two through holes are formed in the bottom of the end, away from the vertical track section, of the track frame, and track bottom bolts are inserted into the through holes. A compaction device is located at the upper position between the two bottom bolts; the bottom of the bearing frame and the lifting adjusting device are hinged to the lever at different positions. A gland assembly is fixed to the top of the bearing frame and located over the permeation column. The permeation column can be lifted and moved along the sliding track, and time and labor are saved during sample filling and dismounting; the compaction device freely falls to prepare a sample, so that the sample is uniform; the height of the fixed fulcrum of the lever is adjustable, so that the gland assembly can always compact the sample in the permeation column.