51 results about "Spatial code" patented technology

An apparatus for transmitting data in a base station of a wireless communication system that transmits data depending on channel status information fed back from terminals and uses a plurality of antennas. Based on the channel status information, a scheduler determines a terminal to which the base station will transmit data, determines antennas via which the base station will transmit data among the plurality of antennas, and determines a space pre-coding method. A multiplexer multiplexes transmission data into a plurality of data streams according to the number of the determined antennas. A modulation and coding unit performs modulation and coding on each of the data streams. A pre-coding controller outputs a matrix select signal for selecting one of a plurality of space pre-coding matrixes according to the space pre-coding method. A space pre-coder spatial-codes each of the coded streams with the matrix selected based on the matrix select signal. An OFDM modulator performs OFDM modulation on each of the spatial-coded streams. An RF unit transmits each of the OFDM-modulated streams via an associated antenna.

A system and method are provided for identifying a one- or multi-dimensional spatial code comprising a plurality of security tags with one or more characteristic emission profiles. The spatial codes are identified on the basis of the combined spatial and spectral information. The system for identifying such spatial codes is comprised of a beam source, a detector, and a processor. The method includes illuminating the code, recording the light emission at a plurality of wavelengths, decoding the spatial information, resolving the spectral profiles, and identifying the code based on the spatial and spectral information. The system and method are applicable to validating a spatial code.

The invention provides a computer-implemented chunking process (named “OP”) to assign and physically associate unique spatial representations (“chunk codes”) in one representational (coding) space (“chunk coding space”) with unique temporal sequences of spatial codes (“items”) in another coding space (“item coding space”). OP differs from all prior chunking processes in that, for any particular item sequence, it activates a unique chunk code for that sequence during presentation of that sequence's first item, even if other sequences from the input domain may begin with the same item.

The invention relates to a nano-particle fluorescence spatial coding anti-fake identification method. The method includes the following steps that: S1, fluorescence nano-particles are prepared; S2, the fluorescence nano-particles are adopted to make an anti-fake pattern; S3, the anti-fake pattern is irradiated by light, and an anti-fake model is built; and S4, a picture to be authenticated is processed in the same manner with the step S3, and fluorescence intensity and spatial distribution characteristic information are extracted, and similarity measurement is carried out through using the anti-fake model, so that authenticity of the picture can be determined. According to the method of the invention, the anti-fake pattern is unique, the distribution of the nanoparticles has random uncontrollability, and therefore, it is impossible to produce the same fluorescence distribution pattern, and thus, compared with the prior art, the method has high anti-fake degree.

The invention discloses a hyperspectral super-resolution computational imaging system based on compression sensing, which comprises a liquid crystal adjustable filter, a spatial coding module, an areaarray detector, a compression reconstruction module and a super-resolution module. After the original image passes through the LCD adjustable filter and the spatial coding module, it is detected by the area array detector to obtain the hyperspectral data which is compressed in space and spectral dimension. The compression reconstruction module is configured to reconstruct the hyperspectral data by using a compression sensing reconstruction algorithm to obtain a restored low-resolution hyperspectral image. A super-resolution module is configured to recover a high-resolution hyperspectral imagefrom only the low-resolution hyperspectral image without supplementing the high-resolution RGB image by utilizing the non-local self-similarity of the hyperspectral image. The super-resolution moduleis configured to recover a high-resolution hyperspectral image from the low-resolution hyperspectral image without supplementing the high-resolution RGB image. At that same time, the system does notneed to add additional optical path to realize the super-resolution reconstruction of the hyperspectral image.

The invention relates to a magnetic field modeling system. The system comprises a detection module, a storage module, an analysis module and a modeling module, wherein the detection module is used for detecting a magnetic field of an electromagnetic field of each unit in a space, and obtaining magnetic field data; the storage module is connected with the detection module and used for storing the magnetic field data; the analysis module is connected with the storage module and used for judging the magnetic field data, and storing the magnetic field data in the value range in a database; and the modeling module is connected with the analysis module and used for extracting the magnetic field data from the database so as to generate and display a modeling image. The invention further discloses a spatial magnetic field modeling method. According to the spatial coding magnetic field modeling system and the spatial coding magnetic field modeling method provided by the invention, an accurate position of a magnetic source in the space can be inferred accurately.

A system and method for encoded microparticles is described. One embodiment includes an encoded microparticle comprising a plurality of segments, wherein the plurality of segments form a spatial code; contrast coating on at least one segment of the plurality of segments, wherein the contrast coating further encodes the microparticle; an outer surface, wherein the outer surface encloses the spatial code and contrast coating, and wherein the spatial code and contrast coating are detectable through the outer surface.

The invention discloses a multi-source heterogeneous non-point source pollution big data association and retrieval method based on spatial and temporal characteristics. The method comprises: obtainingtime features and space features of the multi-source heterogeneous non-point source pollution data; dividing the geographic space of the target area into a plurality of subspaces, forming initial grids, dividing the initial grid step by step to form sub-grids of all levels; coding each sub-grid; determining a spatial code of the multi-source heterogeneous non-point source pollution data; introducing a time feature code into each sub-grid code; increasing temporal dimensions, using a multi-stage gridding organization and index model; using time and space position matching, to realize data association and retrieval. The invention also provides a multi-source heterogeneous non-point source pollution big data supervision platform. Compared with the prior art, the multi-source heterogeneous non-point source pollution big data supervision platform comprehensively considers the spatial and temporal characteristics of the multi-source heterogeneous big data, facilitates the realization of data association, greatly optimizes retrieval, facilitates the real-time monitoring of data by using a crawling module, and achieves efficient retrieval and management.

The present application provides a data retrieval method and device based on spatial coding, which relates to the technical field of massive spatial data processing. The data retrieval method based onspatial coding comprises the following steps: acquiring spatial data to be retrieved; the spatial data to be retrieved being converted into a code value to be retrieved by adopting a spatial data coding algorithm; calculating a retrieval row key according to the code value to be retrieved; determining a position of a target code value corresponding to the search row key in a preset non-relationaldatabase; a target code value being read from that preset non-relational database accord to a position of the target code value, and spatial data corresponding to the target code value being obtained. The present application converts the spatial data into a coded value by a spatial coding algorithm, and constructs a spatial index in a non-relational database by using the coded value, thereby effectively improving the retrieval and analysis efficiency of the spatial data.

The invention discloses a cabinet intelligent design method and device based on representation learning, equipment and a medium. The method comprises the steps: acquiring cabinet body information and cabinet body space environment information in historical data; constructing a feature project according to the cabinet body information and the cabinet body space environment information; constructing a coding learning model according to discrete features in the feature project; training the code learning model to obtain a spatial code of a historical cabinet object and a code prediction model; and inputting to-be-arranged space information and standard household plate information into the code prediction model to obtain a target design space code, solving similarity between the code and the spatial code of the historical cabinet object, and determining the cabinet object with the highest similarity as the cabinet object. According to the method, a rapid and reasonable cabinet design scheme meeting diversity is provided for the classification customization design process, the cabinet design efficiency is improved, and the method can be widely applied to the technical field of smart home.

The invention discloses a model acquisition method and device based on a laser projector. The model acquisition method is realized through a model acquisition device. The model acquisition device comprises a camera, a projector and a processor. The projector is a color laser projector. The model acquisition method comprises the steps of calibrating the camera and the projector; projecting a preset image; the camera shooting a preset image to obtain a mixed image; analyzing the mixed image to obtain sine wave structured light data and spatial coding data; the processor obtaining the absolute phase shift of the sine wave structured light according to the corresponding relation between the sine wave structured light data and the spatial coding data; the projector projecting sine wave structured light on the target object; the camera shooting an object image of the target object projected by the sine wave structured light; and the processor obtaining a three-dimensional model of the target object according to the absolute phase shift of the sine wave structured light and the object image. The method has the advantages that the operation speed is high, the time for obtaining the model of the object is short, and the model precision is high.

The invention provides a spatial coding structured light three-dimensional scanning method and system. The method comprises the steps: designing a single-frame spatial coding pattern which comprises adecoding point for decoding and an encryption point for encryption; projecting a pre-coded single-frame space coding pattern to the surface of a measured object through a projector; shooting the space coding pattern modulated by the object by a camera, and extracting an image decoding point and an encryption point; determining a candidate projector column number of a decoding point by utilizing ahorizontal epipolar constraint and a neighborhood relative displacement relationship ; constructing and updating a statistical weight array of the decoding point, and deleting and selecting the candidate projector column number of the decoding point according to the statistical weight array; deducing the projector column number of the encryption point according to the projector column number of the decoding point; and reconstructing a point cloud according to the image coordinates of the decoding point and the encryption point and the corresponding projector column number. Therefore, problemsthat a traditional spatial coding structure is low in light robustness, poor in precision, large in decoding requirement for image space, poor in expansibility and the like are solved.

The invention discloses a dynamic updating method for three-dimensional live-action data of a large scene. The method comprises the following steps of sequentially performing coordinate conversion framing and spatial coding on the effective three-dimensional live-action data to be input and updated, calculating an effective range, and performing data fusion updating according to spatial coding andthe effective range to realize dynamic updating of the three-dimensional live-action data; according to the invention, full automation of the dynamic updating process is truly realized, the risk of errors caused by manual operation is reduced, the cost of data management is reduced, and the invention is suitable for dynamic updating of three-dimensional live-action data of a large scene; standardized processing of various three-dimensional live-action data is achieved, and the method can adapt to various types of three-dimensional live-action data produced by different software and differententerprises and has extremely high adaptability. More importantly, organic fusion of the historical three-dimensional live-action data and the effective three-dimensional live-action data to be inputand updated is realized, and high quality and high precision of the data are ensured.

The invention discloses a network traffic matrix prediction method based on a self-attention mechanism, which relates to the technical field of network traffic prediction and comprises the step of scaling network traffic data to a specified range. And constructing a shortest path tree of all nodes in the target network, coding according to all the shortest path trees to obtain a spatial code, and adding the spatial code to the network flow data. And coding the timestamps of the network flow data according to different granularities to obtain time codes, and adding the time codes to the network flow data. And constructing a traffic prediction model based on a self-attention mechanism by using a trainable position code and the network traffic data, and performing traffic prediction. Through utilization of time and space correlation information of network traffic, a self-attention mechanism can fully mine potential features of the traffic, and the accuracy of long-time prediction of a network traffic matrix is improved.

The invention discloses an imaging method and device based on spatial coding, the imaging method is realized through an imaging device, the imaging device comprises a camera, a projector and a processor, the projector is a color laser projector, and the imaging method comprises the following steps: the processor calibrates the camera and the projector; wherein the projector projects a preset image, and the preset image respectively projects sine wave structured light and a spatial coding image through a monochromatic laser in the projector; analyzing the mixed image is analyzed to obtain sine wave structured light data and spatial coding data; the processor obtains the absolute phase shift of the sine wave structured light; wherein the projector projects sine wave structured light on a target object; the camera shoots an object image of the target object projected by the sine wave structured light; and the processor obtains a three-dimensional model of the target object according to the absolute phase shift of the sine wave structured light and the object image. The method has the advantages that the operation speed is high, the time for obtaining the model of the object is short, and the model precision is high.

The invention discloses a blockchain-based business space code display method and system and a storage medium, and relates to the technical field of territorial space governance, and the method comprises the following steps: data collection and processing: constructing a block chain territorial space data platform; extracting blockchain territorial space business data according to the user information, and generating a space code; establishing a spatial coding display system and equipment, and constructing a user behavior instruction library; identifying an instruction, generating a user service data information attention degree, and feeding back the attention degree to a user information chain for spatial coding dynamic updating; and feeding back information and exporting data. According to the method, the integrity, timeliness and working efficiency of extracting business data information by a user can be effectively improved, and the problems that multi-department procedures need to be handled in a traditional business data information extraction process, data is incomplete and information extraction is slow are solved; secondly, the confidentiality of the data and the use condition of the data can be tracked, so that the safety and the reliability of data use are realized.

The invention discloses a model acquisition method and device based on spatial coding. The model acquisition method is realized through a model acquisition device, the model acquisition device comprises a camera, a projector and a processor, and the model acquisition method comprises the steps that the processor calibrates the camera and the projector, the projector projects the sine wave structured light and a spatial coding image, the camera shoots the sine wave structured light to generate a structured light image and shoots a spatial coded image to generate a coded image, the processor obtains the absolute phase shift of the sine wave structured light according to the corresponding relation between the structured light image and the coded image, the projector projects the sine wave structured light on a target object, the camera shoots an object image of the target object projected by the sine wave structured light, and the processor obtains a three-dimensional model of the targetobject according to the absolute phase shift of the sine wave structured light and the object image. The method and the device have the advantages that the operation speed is high, the time for obtaining the model of the object is short, and the model precision is higher.

A method for parametric spatial audio coding of a multi-channel audio signal comprising a plurality of audio channel signals is provided, the method comprising: calculating at least two different spatial coding parameters for an audio channel signal of the plurality of audio channel signals, wherein the at least two different spatial coding parameters are of at least two different types of spatial coding parameters and are calculated with regard to a reference audio signal, wherein the reference audio signal is another audio channel signal of the plurality of audio channel signals or a downmix audio signal derived from at least two audio channel signals of the plurality of audio channel signals; selecting at least one spatial coding parameter of the at least two different spatial coding parameters associated with the audio channel signal on the basis of the values of the calculated spatial coding parameters; including a quantized representation of the selected spatial coding parameter into a parameter section (1b) of an audio bitstream (1); and setting a parameter type flag in the parameter section (1b) of the audio bitstream (1) indicating the type of the selected spatial coding parameter being included into the audio bitstream (1).

The invention is applicable to the field of asset management, and provides a space code positioning method and device, and the space code positioning method comprises the steps: deploying a pluralityof first reference points which can cover the range occupied by a data center in a physical space; arranging a plurality of second reference points which are the same as the first reference points inposition in a three-dimensional model; positioning assets in the operating position field to generate position information in the physical space; determining a corresponding position of the asset in the three-dimensional model according to the position information so as to realize spatial code positioning; according to the space code positioning method, the coordinate values are obtained through mapping of the space coordinates and direct positioning of the mobile terminal, and therefore automatic updating of the visualization effect can be quickly and accurately achieved.

The invention relates to a macular central fovea detection method and device, computer equipment and a storage medium. The method comprises the steps: inputting a to-be-processed image into a segmentation network, and carrying out the feature extraction of the to-be-processed image through employing all first convolution modules at all levels, thus obtaining an initial probability graph and an intermediate feature graph output by the last first convolution module on each level; performing feature fusion and spatial coding on the intermediate feature map output by each level by using a multi-level feature fusion spatial coding network to obtain a final position feature map of the macular fovea; multiplying the final position feature map of the macular fovea with the initial probability mappixel by pixel to obtain a final prediction map; and finally, determining the position of the macular central fovea according to the final prediction graph. The problem that the accuracy of the targetdetection model for detecting the macular area is affected by unclear edges of the macular area, low contrast and other factors is avoided, and accurate detection of the macular central fovea is achieved.

This disclosure demonstrates an approach that translates synthetic DNA codes to spatial codes registered in nanoliter microchambers for multiplexed measurement of nearly any type of molecular targets (e.g., miRNAs, mRNAs, intracellular and surface proteins) in single cells.

The invention relates to a spatial-temporal data management method and system, a host and a computer readable storage medium. The method comprises the following steps: acquiring spatial-temporal data; layering the spatial-temporal data, and coding the layered spatial-temporal data according to a spatial coding rule to obtain a primary key; and according to a fragmentation storage rule, dividing the spatial-temporal data according to the primary key, and then storing divided data in to servers in a column database. According to the method, the storage capability and the retrieval efficiency of the spatial-temporal data can be improved.

The invention discloses an industry address serial number generation method and device based on spatial grids. The method comprises the steps of carrying out the coding of map data, obtaining the spatial grids corresponding to the map data, and the spatial grids having spatial grid codes in one-to-one correspondence; calculating spatial grids corresponding to a plurality of longitude and latitudeinformation of the industry address data; obtaining a reference grid code through calculation, and a spatial grid corresponding to the reference grid code being located in the Kth layer of space hierarchy; judging whether the spatial grid code corresponding to the Nth longitude and latitude information is the same as the reference grid code or not, and if so, taking the spatial grid code as an industry address serial number of the industry address data; and if not, updating the grid code corresponding to the K-1th spatial hierarchy into the reference spatial code until industry address serialnumbers corresponding to all longitudes and latitudes in all industry address data are obtained. According to the embodiment of the invention, a large amount of floating point operation is not needed,and the generation efficiency of the industry address sequence number can be effectively improved.

The invention belongs to the field of optics, and discloses a target intelligent sensing and recognition system and method based on space coding, and the system comprises a coding module and an imaging module. The encoding module encodes the target recognition model into a weight value corresponding to each pixel unit in the space, and inputs the weight value into a spatial light modulator in the imaging module; and the imaging module performs spatial coding on the optical signal by using a spatial light modulator, acquires the spatially coded optical signal through a single-channel photoelectric detector, and realizes intelligent identification of a target by using a single-channel measurement value. According to the method, space coding is carried out on the collected optical signals, post-processing of the image is achieved while optical measurement is carried out, the complex image post-processing process is effectively avoided, and the time efficiency of target sensing and recognition is greatly improved. According to the method, the equipment cost caused by image data transmission, storage and the like can be reduced. Therefore, the method has important potential application value in the field of target perception and recognition.