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42 results about "Ordered subsets" patented technology

Order processing method and apparatus

Embodiments of the invention disclose an order processing method and apparatus. A specific embodiment of the method comprises the steps of obtaining order information of multiple to-be-delivered orders, wherein the order information comprises shipping address information and receiving address information; according to a source delivery point corresponding to a shipping address and a destination delivery point corresponding to a receiving address, dividing the to-be-delivered orders into multiple to-be-processed order subsets; based on a preset combination condition, dividing the to-be-processed order subsets into multiple to-be-combined order sets; and for each to-be-combined order set in the multiple to-be-combined order sets, executing the following order processing operations of determining whether the to-be-combined order set meets a preset delivery condition or not; and in response to the situation that the to-be-combined order set meets the preset delivery condition, combining the to-be-processed order subsets in the to-be-combined order set to generate a delivery order set. The order delivery is arranged according to the delivery order set generated by the method, so that relatively high delivery efficiency can be realized, the transport capacity is reduced, and the delivery cost is reduced.
Owner:BEIJING XIAODU INFORMATION TECH CO LTD

X-ray multi-energy spectrum computed tomography (CT) projection data processing and image reconstruction method

InactiveCN103150744ASuppresses vertical line artifactsEfficient removal2D-image generationReconstruction methodX-ray
The invention discloses an X-ray multi-energy spectrum computed tomography (CT) projection data processing and image reconstruction method, which mainly comprises an X-ray energy spectrum CT projection sinogram processing method and a compressed sensing-based accelerated iterative convergent reconstruction algorithm. The X-ray energy spectrum CT projection sinogram processing method mainly comprises the following steps of: (1) restraining vertical streaking artifacts in a projection sinogram; (2) removing high-brightness noisy points in the projection sinogram. The compressed sensing-based accelerated iterative convergent reconstruction algorithm refers to that image total variation (TV) minimization-based optimal constraint conditions and the ordered-subset simultaneous algebraic reconstruction techniques (OS-SART) are combined. As a number of defects still exist in a traditional X-ray energy spectrum CT detection system (X-ray energy resolution photon counting detector), more noise and artifacts exist in acquired projection data. According to the X-ray multi-energy spectrum CT projection data processing and image reconstruction method, X-ray multi-energy spectrum CT projection data are effectively preprocessed by utilizing a preprocessing means, and meanwhile, a TV-based OS-SART algorithm is introduced into X-ray multi-energy spectrum CT image reconstruction, and therefore, image iterative convergence is accelerated, and the noise and the artifacts in a reconstructed image is well restrained.
Owner:CHONGQING UNIV

Nondestructive testing system and method for positioning chamber inner wall defect through positron probe

The invention discloses a nondestructive testing system and method for positioning a chamber inner wall defect through a positron probe. The testing system comprises a hardware part and a software part. The hardware part comprises a base; a to-be-tested part front end support and a to-be-tested part rear end support which are located on the base and an air floatation guide rail module with a grating scale; a to-be-tested part; an annular detector support which is installed on the air floatation guide rail module with the grating scale; an annular detector array which is installed in the annular detector support; a positron probe source lead chamber which is located on the base; a positron probe liquid circulating input pipe and a positron probe liquid circulating output pipe which are connected between the positron probe source lead chamber and the to-be-tested part. The software part comprises a counting module of detectors for recording the number of gamma photons produced by positron annihilation; a maximum likelihood estimation mathematical model module for gamma photon equalization and compensation; a model solution module based on an ordered subset expectation maximum; an image enhancement module based on maximum interclass variance and a 3D image synthesis module.
Owner:深圳航宇光子检测技术有限公司

High-definition PET image reconstruction method

The invention discloses a high-definition PET image reconstruction method. The method comprises the following steps: marking a fixed point position in a local space in a visual field according to structural symmetry of a PET detection system; placing a point source for fixed-point sampling; reconstructing the list-mode data of the point source by adopting a three-dimensional ordered subset expectation maximum value method; fitting and solving an image space fixed-point voxel point diffusion function value by using a Gaussian function, and constructing system response function estimation of each point in the whole space; estimating a corrected image reconstruction model according to a system response function; constructing a Metz filtering function, and correcting an image reconstruction model in an image space; and inputting actual measurement data of a scanned object into the corrected image reconstruction model to obtain a high-definition PET image. Accurate system modeling is carried out on the list-mode data based on the point spread function, the experiment duration and the data storage space required by system response function modeling are reduced, the calculation complexity is reduced, filtering processing is carried out by using the Mitz filtering function, and the signal-to-noise ratio and the contrast ratio of the image are improved.
Owner:XUZHOU MEDICAL UNIV

Controlling the configuration of a transmission path

A method, system and unit for controlling the configuration of a transmission path coupling a first unit and a second unit is disclosed. The first unit and the second unit are configurable to support the transfer of information items over the transmission path in time-slots of successive transmission frames in accordance with a plurality of modes, each of the plurality of modes allocating differing numbers of time-slots within each frame to different types of information items. The method comprises the steps of: programming control logic of the first unit and the second unit with an indication of an ordered subset of the plurality of modes to be supported by the first unit and the second unit; configuring the first unit and the second unit to support the transfer the information items over the transmission path using a default one of the plurality of modes; and responsive to an indication requesting that a different mode be selected, causing the first unit and the second unit to be configured to support the next in the ordered subset of the plurality of modes indicated by the control logic. By providing within each unit a predetermined ordered list of modes to be supported by those units, it is only necessary to provide an indication that some change is required and the mode which needs to be changed to can be determined simply by referring to the ordered list. It will be appreciated that this provides a mechanism to switch efficiently between modes, significantly reduces the amount of data required to indicate the new mode and may improve the efficiency of total data transaction.
Owner:ARM LTD

Human body action recognition method based on muscle signals

The invention discloses a human body action recognition method based on muscle signals. The method comprises the steps of obtaining depth image data corresponding to the muscle signals on the basis ofdepth signal flow, and distinguishing action information of muscle junction points in a human body in a three-dimensional space; and optimizing muscle junction signals of the human body on the basisof the action information of muscle junctions, filtering the muscle junction signals or redundant muscle junction signals which do not influence or slightly influence human body behavior recognition,building a human body behavior conditional random field model, obtaining a human body behavior recognition model, and predicting subsequent actions of the human body based on the human body behavior recognition model. According to the method, an improved sheep-flock optimization algorithm is used for performing selection. Compared with an unimproved method, the improved sheep-flock optimization algorithm has the advantages that a population is initialized by using a point set method, so that the algorithm is prevented from falling into local optimum; the convergence speed of the algorithm is increased by using an ordered subset method and introducing a sheep-flock wait-and-see method; and meanwhile, the recognition effect of video human body behaviors is improved.
Owner:芒果思维(天津)智能科技有限公司
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