84 results about "Support matrix" patented technology

The invention relates to an intelligent planning method for an assembly sequence of a high-loading-density aviation equipment product. The intelligent planning method solves the problems that the efficiency is low and errors are prone to occurring when the assembly sequence is manually formulated. Comprising the following steps: Step 1: establishing an extraction method and a standardized expression method of three types of object information of parts, an assembly process and assembly constraints in a process information model, and forming an assembly process information model integrating a product structure, an assembly process, an assembly tool and the like; 2, related assembly process knowledge and resources are carded, an interference matrix, a connection matrix and a support matrix are formed to serve as input and constraint conditions of assembly sequence planning, an assembly sequence solving space is formed, an assembly sequence planning mathematical model is finally formed, and an assembly sequence candidate set is generated; step 3, carrying out the construction of an assembly sequence evaluation index; designing an assembly sequence evaluation index calculation mode, constructing an assembly sequence evaluation index calculation method, establishing a multi-criterion assembly sequence optimization method, and supporting acquisition of an optimal assembly sequence.

The invention relates to a credible evidence reasoning method, device and equipment for multi-source data fusion, a multi-source decision information system is constructed, in the multi-source decision information system, a support matrix is designed to quantify correlation among multi-source data attributes, and a relationship is evaluated by combining concepts of similarity and distance. Firstly, multi-source data of different scales are converted into confidence distribution, probability significance is given to the confidence distribution, and therefore generated evidence can be applied to multi-scale data fusion. Then, a credible evidence reasoning rule is constructed, and in the rule, the credibility of the evidence is determined by the weight and the reliability of the evidence; by integrating multi-source data samples of different scales, confidence distribution of results is derived. Therefore, the problem of difficulty in determining confidence distribution of evidences is solved.

The invention discloses a cloud intelligent cervical vertebra rehabilitation pillow based on posture induction self-adaptive adjustment and a control method, and relates to the technical field of intelligent home and health monitoring. The method comprises the following steps: calibrating and generating a target steady-state equipotential plane model, wherein the target steady-state equipotential plane model is used for representing a preset mapping relation between a posture load vector of a user and a target support vector; continuously collecting real-time attitude load vectors of the user; determining a target support vector at a current moment based on the real-time attitude load vector and the target steady-state equipotential plane model; and in response to the target support vector at the current moment and a real-time support vector at the current moment, executing a support vector titration operation on a multi-domain pneumatic support matrix so as to drive the real-time support vector to approach the target support vector. The problem that in the prior art, the supporting state is fixed and cannot adapt to sleeping posture changes is solved, and the accuracy and comfort of cervical vertebra supporting are improved.

The invention relates to the technical field of high-voltage tests of electrical equipment, and provides a transformer vibration measuring point selection method based on data consistency, which comprises the following steps of: uniformly arranging measuring points on the surface of a transformer box body, acquiring vibration signals, and calculating a distance matrix between the measuring points to quantify the similarity or difference of the vibration signals; and the data is converted into a support matrix to reflect the support degree between the measuring points. Furthermore, by calculating the support score of each measuring point, the measuring points with high sensitivity to fault diagnosis are screened out, and the layout of the measuring points is optimized. Compared with a traditional method, the diagnosis accuracy of the method is improved, meanwhile, the number of measuring points is reduced, and the complexity and cost of a monitoring system are remarkably reduced. The method is suitable for transformers with different voltage grades and operation conditions, and the adaptability of the monitoring system is enhanced. The accuracy, reliability and economical efficiency of transformer vibration monitoring are effectively improved, a powerful guarantee is provided for stable operation of a power system, and remarkable technical, social and economic benefits are achieved.

The invention relates to the technical field of display, and discloses application of an ultrahigh-luminous-efficiency perovskite quantum dot PC material to a mini module, and the application comprises the following steps: S1, synthesizing perovskite quantum dots: preparing the perovskite quantum dots through a thermal injection method in an inert gas environment; s2, anti-quenching treatment: coating the surface of the perovskite quantum dot with an anti-quenching layer, wherein the anti-quenching layer comprises an inorganic oxide shell layer or an organic polymer shell layer; s3, quantum dot dispersion: dispersing the perovskite quantum dots subjected to anti-quenching treatment in an organic solvent; s4, compounding the PC material; s5, carrying out patterning treatment; and S6, curing and forming. The quantum dot dispersion liquid is combined with the PC material, and the good mechanical property, chemical stability and high heat resistance of the PC material are utilized to provide a stable support matrix for the perovskite quantum dots, so that the composite material has the high luminous efficiency luminescence characteristic of the perovskite quantum dots and the practical performance of the PC material; and the dual requirements of the mini module on optical and physical properties of the material are met.

A method of providing education may be provided. The method of providing education may include: constructing a matrix-type curriculum database consisting of subject information corresponding to each curriculum for each technology; obtaining a language model corresponding to a student based on learning data of the student, and spawning a virtual NPC that provides an education service to the student in a metaverse space based on the language model; determining curriculum corresponding to the student based on the learning data; determining content corresponding to the student based on the curriculum and the learning data; and evaluating an achievement level of the student based on the learning data.

The present invention provides a method for culturing organoids, the method comprising: a) disassociating unprocessed organoids to produce a cell suspension; b) sieving the cell suspension through a cell strainer to retain a sieved cell suspension containing cells of about 10 μm to about 1 mm in diameter; and c) seeding cells of the sieved cell suspension into a bioreactor in a cell culture medium comprising an extracellular support matrix.

The invention discloses a method for printing a heterostructure material by using the same printing ink and application thereof. The method for printing the heterostructure material by using the same printing ink comprises the following steps: 1) preparing a support substrate and the printing ink; (2) adding different types of supporting substrates into different compartments of a container with a detachable partition plate respectively, and defoaming after the partition plate is detached, so as to obtain a heterostructure supporting substrate; and (3) the printing ink is loaded into a printing device, a printing head of the printing device extends into the heterostructure supporting matrix to conduct embedded 3D printing along a set printing path, crosslinking curing is conducted, an obtained workpiece is taken out, surface cleaning is conducted, and the heterostructure material is obtained. The embedded 3D printing technology and the silica gel cross-linking reaction principle are combined, the heterostructure material can be printed through the same printing ink, multiple nozzles and ink switching are not needed, and the device has the advantages of being easy to operate, high in universality, high in efficiency and the like and is suitable for large-scale industrial application.

The application discloses a filter core material and a preparation method thereof, and belongs to the technical field of water purification filter cores. The filter core material comprises the following components in percentage by mass: a honeycomb support matrix: 15-60%; a filter substrate: 30-40%; and a coating substrate: 0-50%. The filter core material and the preparation method thereof maintain a stable support structure during the preparation of a gamma-Al2O3 / BN composite ceramic layer through polypropylene and cellulose nanofiber. The filter substrate is obtained through gradient low-temperature sintering, effectively removes small particles and pollutants in water, and has excellent filtering performance. The active carbon fiber and polyether sulfone are coated on the filter substrate through electrospinning, which ensures good filtering performance and water permeability, improves the wear resistance and compressive strength of the filter core, and removes the honeycomb support matrix through high-temperature combustion, further improves the water permeability, and the active carbon fiber is physically activated during the combustion process, further improving the adsorption capacity.

The present invention provides a method for culturing organoids, the method comprising: a) disassociating unprocessed organoids to produce a cell suspension; b) sieving the cell suspension through a cell strainer to retain a sieved cell suspension containing cells of about 10 μm to about 1 mm in diameter, and c) seeding cells of the sieved cell suspension into a bioreactor in a cell culture medium comprising an extracellular support matrix.

The application discloses a kind of hardware acceleration system and method supporting matrix and tensor calculation, belong to high-performance computing and artificial intelligence chip design field.The system is based on the computing core array of annular interconnection, integrated uniform scheduling and variable unit USTU and configurable data flow controller CDC.USTU is responsible for the real-time analysis conversion of high-level tensor operation to optimized matrix multiplication GEMM subtask and completes uniform fine-grained scheduling;CDC dynamically configures the data flow mode of computing core array, storage access mode and inter-core communication logic according to the characteristics of subtask.The application realizes the adaptive mapping of neural network operator to bottom hardware data flow, can efficiently execute various tensor calculations, significantly improves hardware utilization, energy efficiency ratio and application flexibility.

The present disclosures describe devices and methods to repair cartilage defects using arthroscopic surgical methods. The disclosed devices include a cannula assembly including a cannula body, a dam seal sub-assembly disposed proximally from the cannula body, and an obturator inserted coaxially through both the cannula body and the dam seal sub-assembly; an articulated arthroscopic cutting tool; a ring curette; a square curette; a rake curette; a matrix shuttle delivery device (540) comprising at least two deployment wings (548) for delivering a cell-seeded support matrix including chondrocytes; and an applicator tool.

A proposed composition comprising: a support matrix; several photoluminescent nanostructures distributed within the support matrix; a hindered amine stabilizer; and at least one of (i) an alkylalkoxysilane and a coordination polymer or (ii) a silanized coordination polymer.

The invention relates to a computer-implemented method for generating a control program for a target platform from a graphical control model of a development platform, wherein the development platform comprises a definition database for storing information on the graphical control model and is designed to support matrix operations, characterized in that annotation information for constructing matrices used in the graphical control model can be stored in the definition database and that when generating the control program for the target platform, the stored annotation information is taken into account in such a way that a) on the target platform, when implementing a processing order that involves at least one matrix, a computing speed is increased and / or b) on the target platform, the memory requirement is reduced when storing the matrices.The invention also relates to a method for configuring a target platform configured as a control unit (ES). Furthermore, the invention relates to a data processing device (10) comprising means for executing the above method, a computer program product, and a corresponding computer-readable data carrier.

The invention discloses a filter element material and a preparation method thereof. The filter element material comprises the following components in percentage by mass: 15-60% of a honeycomb support matrix; 30%-40% of a filter base material; 0-50% of a coating base material; the invention relates to the technical field of water purification filter elements. According to the filter element material and the preparation method thereof, a stable supporting structure is kept in the preparation process of the gamma-Al2O3 / BN composite ceramic layer through the polypropylene and the cellulose nanofibers, a filtering base material is obtained in a gradient low-temperature sintering mode, small particles and pollutants in water are effectively removed, and the filter element material has excellent filtering performance and is suitable for being used in water treatment. The activated carbon fiber and the polyether sulfone are coated on the filtering base material in an electrostatic spinning manner, so that the wear resistance and the compressive strength of the filter element are improved while good filtering performance and water permeability are ensured, a honeycomb supporting matrix can be removed through a high-temperature combustion manner, the water permeability is further improved, and in the combustion process, the combustion efficiency is improved. The activated carbon fibers are physically activated, so that the adsorption capacity is further improved.

An apparatus is configured to receive a first plurality of directive data structures, each directive data structure of the first plurality of directive data structures including a one or more first support control requirements associated with a supported platform and allocation of resources to a support matrix associated with the supported platform, the support matrix including a plurality of slots. The apparatus is further configured to allocate one or more resource data structures of a plurality of resource data structures to one or more of the plurality of slots of the support matrix according to the first plurality of directive data structures, and receive a slot allocation compliance matrix, where the slot allocation compliance matrix includes one or more compliance indications associated with the plurality of slots. The apparatus is further configured to apply a trained slot allocation machine learning model to the slot allocation compliance matrix and the support matrix to generate a second plurality of directive data structures.

[Method for manufacturing a rotor assembly of an electric drive machine, wherein the electric drive machine is designed as a current-excited synchronous machine and the rotor assembly has a rotor axis about which it rotates in planned operation, and furthermore the rotor assembly has at least one rotor recess which is arranged radially spaced from this rotor axis and in which at least one rotor winding is at least partially received, wherein this method comprises at least the following steps: - Providing the rotor assembly with the rotor winding already inserted in the rotor recess, - Application of a rotor support material by a fiber spraying process, wherein this rotor support material is a multiphase material during application, comprising at least one rotor support matrix material present at least initially in a liquid state and a rotor support reinforcement material present in a solid state in the form of a plurality of rotor support reinforcement fibers, - Transitioning the rotor support mass matrix material into the solid state.]

The application discloses a kind of solid sodium ion electrolyte membrane and preparation method thereof, with porous organic film as support matrix, inorganic solid electrolyte is used to prepare electrolyte solution and is coated on both sides of porous organic film, and is obtained by drying preparation.The electrolyte membrane provided in the application further reduces the film thickness while maintaining excellent mechanical properties, has good thermal stability, good mechanical properties.Both the mechanical properties and ionic conductivity of the organic solid electrolyte membrane can be improved, and the problems of poor processability and flexibility of the inorganic solid electrolyte membrane are also improved.The sodium ion battery internal resistance, capacity performance and cycle performance can be tested by extreme needle test without affecting sodium ion battery internal resistance, capacity performance and cycle performance.The preparation method of the solid electrolyte membrane is simple, the production efficiency is high, and batch production is easy to realize.

The utility model provides an asphalt pavement anti-rutting performance simulation test device, which relates to the technical field of road engineering and comprises a supporting base body, a mechanical loading mechanism, a depth measuring mechanism and a sensing and control system, the supporting base body comprises a base plate, a rotating supporting plate is arranged at the bottom of the base plate, and a mechanical loading mechanism is installed on the rotating supporting plate; in the operation process, the pressure head of the mechanical loading mechanism can apply load to the road surface, so that a track with a certain depth is formed; meanwhile, the depth measuring mechanism and the lever dial indicator work cooperatively to measure the depth of the track; the numerical value of the applied load and the data of the rut depth are recorded in the data recorder, and the corresponding comparison relation can be obtained by comparing the correlation between the numerical value of the applied load and the data of the rut depth at the same moment; the problem that in an actual road test, an existing device for testing the rutting resistance of the road surface cannot reflect the correlation between the applied load and the road deformation is solved.

The invention discloses a preparation method of a low-cost high-performance brake disc preform, which comprises the following steps: S1, mold selection and treatment: a cylindrical mold is selected as a support matrix for needling molding, and the diameter of a treated cylinder is less than or equal to the inner diameter of a target brake disc preform; s2, laying and needling a base layer, namely laying a layer of carbon cloth and a layer of net tire on the outer side of the cylindrical mold in a staggered and superposed manner along the circumferential direction according to a manner that a layer of carbon cloth and a layer of net tire are taken as a group of base laying units, and needling and fixing the base laying units by adopting needling equipment after each group of base laying units is laid; and S3, laying a chopped fiber reinforced layer: after needling of each group of basic laying layer units in the S2 is completed, uniformly laying a layer of chopped carbon fibers on one side, far away from the carbon cloth, of the net tire. According to the method, near-size forming is achieved while the performance is guaranteed, large-amount cutting in the later period is not needed, the raw material cost is reduced, and meanwhile the yield of products is increased.

The present application relates to a credible evidence reasoning method, apparatus and equipment for multi-source data fusion, which constructs a multi-source decision information system. In this multi-source decision information system, a support matrix is designed to quantify the correlation between multi-source data attributes, and the concepts of similarity and distance are combined to evaluate the relationship. First, multi-source data of different scales are converted into confidence distributions and given probabilistic meanings, so that the generated evidence can be applied to multi-scale data fusion. Then, a credible evidence reasoning rule is constructed, in which the credibility of the evidence is determined by its weight and reliability. By integrating multi-source data samples of different scales, the confidence distribution of the results is derived. This solves the problem of difficulty in determining the confidence distribution of evidence.

The application discloses a kind of heat storage type flexible phase change materials and preparation method thereof, the material includes continuous phase's flexible support matrix and dispersed phase's phase change heat storage core material;Flexible support matrix is based on the crosslinking network structure of grafting modified thermoplastic elastomer construction;Phase change heat storage core material is distributed in crosslinking network by physical confinement and chemical anchoring effect.Phase preparation method adopts unique gradient temperature and pressure coupling process, including pre-softening exhaust, initiation crosslinking and densification shaping three stages.The application solves the problems of low thermal conductivity, high temperature leakage and poor aging resistance of traditional flexible phase change materials in the temperature range of 40-80℃ through the synergistic effect of chemical bonding and three-dimensional network, and realizes the unity of high heat storage density and high shape stability.

The present invention relates to the field of display technology and discloses the application of ultra-high-light-efficiency perovskite quantum dot (PC) materials to mini modules. The method comprises the following steps: S1, synthesizing perovskite quantum dots: preparing perovskite quantum dots by hot injection in an inert gas environment; S2, anti-quenching treatment: coating the surface of the perovskite quantum dots with an anti-quenching layer, wherein the anti-quenching layer comprises an inorganic oxide shell or an organic polymer shell; S3, dispersing the perovskite quantum dots after the anti-quenching treatment in an organic solvent; S4, compounding the PC material; S5, patterning; and S6, curing and molding. By combining the quantum dot dispersion with the PC material, the PC material's excellent mechanical properties, chemical stability, and high heat resistance are utilized to provide a stable supporting matrix for the perovskite quantum dots. The composite material thus possesses both the high-light-efficiency luminescent properties of the perovskite quantum dots and the practical performance of the PC material, meeting the dual requirements of the mini module for both optical and physical properties.

This application relates to thermal management materials for semiconductor devices and associated systems and methods. In some embodiments, a semiconductor package includes a first semiconductor die coupled to a second semiconductor die by a plurality of interconnect structures. A thermal material may be positioned between the first semiconductor die and the second semiconductor die. The thermal material may include an array of heat transfer elements embedded in a support matrix material. The array of heat transfer elements may include at least one void region aligned with at least one of the interconnect structures.

The invention provides a welding system for long edge tailor welding of stainless steel rocket storage tank short cylinder plates. The welding system comprises a welding rack and a feeding guide component. The welding machine frame comprises an upper guide rail, a machine frame base and a support base body. The upper guide rail and the machine frame base are arranged in a spaced mode and fixedly connected through the support base body. The welding rack is provided with a lower supporting surface, and the lower supporting surface is used for supporting a steel plate; at least one of the opposite end faces of the upper guide rail and the rack base is provided with a welding head capable of moving in the length direction of the upper guide rail and the rack base so as to weld a butt joint of a steel plate to be welded. The feeding guide component comprises at least one feeding guide support used for supporting a steel plate. The upper end face of the feeding guide support is provided with at least one feeding guide universal ball. The feeding guide support is in butt joint with the lower supporting face so that a steel plate can be fed to the lower supporting face. According to the welding system, the complexity and the process difficulty of the welding system can be reduced.

The invention relates to a device for supporting matrix transpose multiplication calculation, which is particularly suitable for matrix multiplication operation in artificial intelligence algorithms such as a neural network. The device comprises an X vector input driving circuit, a Y matrix input driving circuit, a multiplication array and a configurable adder tree circuit. The adder tree circuit dynamically reconstructs and supports matrix multiplication calculation and matrix transpose multiplication calculation through a data distribution network. By multiplexing most circuits, hardware overhead is reduced, hardware efficiency is improved, power consumption is greatly reduced, different addition paths can be flexibly configured through the selector to support matrix multiplication and matrix transpose multiplication calculation, and therefore the effect of efficient and low-power-consumption calculation performance is achieved.

1. A microplate comprising a plurality of wells for receiving domes of a support matrix, each well of the plurality of wells comprising a bottom surface having at least one retention structure for providing mechanical retention of one of the assay samples, the at least one retention structure comprising a diameter and a height in the range of about 0.5 millimeters to about 5 millimeters, the ratio of height to diameter being in the range of about 10% to about 30%. 2. A microplate comprising a plurality of wells for receiving domes of a support matrix, each well of the plurality of wells comprising a bottom surface having at least one retention structure for providing mechanical retention of one of the assay samples, the at least one retention structure comprising a diameter and a height in the range of about 0.5 millimeters to about 5 millimeters, the ratio of height to diameter being in the range of about 10% to about 30%.

The present invention discloses a metal-carbon-based chemical heat storage composite material, a preparation method thereof and an application thereof. The composite material comprises a main porous carbon matrix composed of metal-organic framework-derived graphene-based porous carbon and a compound represented by formula (I): MA (I) wherein M is selected from at least one of lithium, magnesium and aluminum; A is selected from at least one of hydroxide radical, sulfate radical and bromide anion. In the metal-carbon-based composite material of the present invention, a main porous carbon matrix composed of metal-organic framework-derived graphene-based porous carbon is used as a support matrix, and is compounded with the compound represented by formula (I), so that the prepared composite material has excellent energy storage density, can efficiently store and utilize low-temperature heat energy and long-term heat energy storage across seasons, and can fully utilize low-temperature heat energy such as solar heat energy and industrial waste heat.

The embodiment of the invention discloses a processor supporting matrix multiplication and a matrix Reduce operator and an operation method. The processor comprises a systolic array formed by a plurality of calculation units, and supports floating point calculation of various matrixes, including matrix multiplication, matrix Reduce operator calculation and vector MAX / MIN evaluation calculation. By defining a special three-operand floating point calculation basic unit and cooperating with flexible operand distribution and scheduling, matrix multiplication, various matrix Reduce operators and maximum / minimum value solution of vectors can be supported, and the operational capability of a matrix calculation unit is applied to the maximum extent. Besides, the calculation basic unit array is realized in an array mode, and the maximum energy consumption ratio can be obtained under the condition that the calculation basic units are optimized and customized. In addition, the technical scheme provided by the invention can be applied to AI chips, NPU design, matrix operation units and the like.

The invention relates to a spatio-temporal data prediction method based on a spatial element graph convolutional recurrent neural network, and belongs to the technical field of spatio-temporal data prediction. The method comprises the following steps: dynamic meta-graph construction: establishing a meta-node library, and generating a meta-graph after parameters are randomly initialized; calculating geographic space similarity, wherein data set nodes correspond to road sensors, and a similarity matrix is generated according to geographic latitude and longitude coordinates of the nodes; convolution space feature enhancement: extracting matrix depth space features by using a convolution module; self-adaptive feature fusion: introducing trainable parameters, and performing weighted summation on the enhanced matrix and the meta-graph to obtain a support matrix; and spatio-temporal joint prediction: modeling through an encoder-decoder composed of GCRUs, inputting node past data by the encoder, and outputting a future node prediction result by the decoder. According to the method, geographic space information and a convolutional layer are introduced into a space-time modeling unit, the perception ability of the model for spatial heterogeneity and complex relations is enhanced, and the prediction accuracy of the model is improved in combination with a dynamic fusion mechanism.