13 results about "Spatial code" patented technology

The invention discloses a method for establishing an entity object relationship of urban governance elements. The method comprises the following steps of: firstly, dividing urban governance multi-source data into spatial data and non-spatial data; giving spatial codes to the spatial data according to a spatial grid where a central point of the spatial data is located; especially for the planar elements, a tolerance calculation mechanism is introduced, when spatial overlay analysis is carried out, only when the geometric overlapping relation between the planar elements and other spatial elements meets the preset tolerance calculation condition, it is judged that the planar elements have the inclusion relation and correlation is established, and therefore boundary overflow errors caused by surveying and mapping precision are corrected. And for non-spatial data, accurately mounting the non-spatial data to the established spatial entity through address standardization matching of place name address objects or keyword analysis. And finally, on the basis of a unique space code formed by combining the professional identification code, the space identification code and the time identification code, constructing an urban governance element entity object. According to the method, the problems of inaccurate spatial logic judgment and difficult association of non-spatial data in traditional data fusion are effectively solved, and accurate fusion and efficient indexing of urban governance data are realized.

Consistent with an aspect of the present disclosure, an exemplary digital communication system is provided that includes redundant or spare transceivers to handle failure events. In one example, if one of the first N+r transceivers experience a failure, spatial FEC codewords can correct the resulting bit errors and, as previously mentioned, prevent post-FEC errors from occurring. In embodiments, if a primary transceiver fails, a redundant transceiver may be activated to take its place.

The application discloses a depression evaluation method based on audio-visual multi-modal data fusion, comprising the following steps: step 1, obtaining the facial video of a subject and the audio of the subject; step 2, obtaining the low-level visual features and low-level audio features of the subject; step 3, inputting the low-level visual features and low-level audio features obtained in step 2 into a parallel multi-scale bridge fusion depression evaluation PMBFN network for processing and obtaining a depression rating; by constructing a spatial coding module of a visual and audio branch, a parallel multi-scale dynamic convolution module and a space-time attention pooling module, multi-scale deep features are quickly and efficiently extracted from audio-visual multi-modal data, dynamic performance of depression behavior is comprehensively captured, and under the adjustment of a multi-modal bridge fusion module, data between modes is fully interacted, the utilization rate of multi-modal data is improved, and therefore the accuracy and efficiency of automatic depression evaluation are improved.

The invention relates to the technical field of deep learning and meteorological science crossing, in particular to a deep learning rainfall prediction enhancement method fusing a graph structure and frequency domain characteristics and an integration framework, and the method comprises the steps: obtaining rainfall data of a historical time-space sequence as input data; inputting the input data into a spatial coding module to extract initial spatial features; inputting the initial spatial features into a graph frequency fusion enhancement module to generate enhanced features; wherein the graph-frequency fusion enhancement module is used for enhancing the expression capability of a local space structure and multi-scale frequency domain features of a precipitation field by combining Fourier frequency domain feature extraction and spatial topology modeling of a graph neural network; and inputting the enhanced features into a backbone network module of a rainfall prediction model, carrying out spatio-temporal evolution modeling, and outputting a rainfall prediction result of a future spatio-temporal sequence. According to the method, the accuracy and reliability of heavy rainfall prediction can be improved, and more powerful technical support is provided for weather forecast and disaster early warning.

The invention provides a land resource information monitoring and management system, and the system comprises a three-dimensional spatio-temporal data collection module which collects overground and earth surface spatio-temporal data, integrates spatio-temporal data of different spatial scales and time scales, and forms a three-dimensional spatio-temporal data set; the data fusion module is used for preprocessing the three-dimensional space-time data set and carrying out multi-source fusion on the three-dimensional space-time data set; the spatial code data association module is used for generating spatial codes according to the multi-source data fused by the data fusion module in combination with geographic coordinates, timestamps, resource types and region identifiers, and associating different service data through the spatial codes to form a data network; the space tent tracking module is used for calculating the total resource amount and the resource variation amount according to the three-dimensional spatio-temporal data, analyzing the resource flow direction according to space codes and dynamically tracking the city-county-rural three-level resource state; and the visualization module is used for carrying out visualization display on data and analysis results of all the modules.

The invention discloses a wiring-free Carplay reversing image wireless transmission method and a wiring-free Carplay reversing image wireless transmission system, and belongs to the technical field of video coding. When a reversing mode is started, a wireless transmission link monitoring thread is started, a wireless transmission link performance index is acquired, and an acceptable target code rate of a current reversing image frame is given; after acquiring each frame of image, the reversing image acquisition equipment analyzes to obtain an initial block-level coding precision matrix, performs inter-frame smoothing and variation amplitude constraint on the coding precision of each spatial position in the matrix, and performs differential coding on each spatial coding block according to a final block-level coding precision matrix to obtain a final block-level coding precision matrix; the method comprises the following steps: generating a coding data stream adaptive to the bearing capacity of a current link, sending the coding data stream to a CarPlay terminal through a wireless transmission link, obtaining a monitoring result in a transmission process, dynamically and finely adjusting the target code rate and block-level precision distribution of a subsequent frame, and reducing the impact of queue backlog and frame-level loss of a sending end on the real-time performance and accuracy of a reversing image from the source.

The application provides a cross-domain flood prediction system based on spatial coding and coupled bidirectional LSTM, relates to the technical field of flood prediction, and constructs a three-layer collaborative architecture of a perception node, an edge gateway and a cloud engine. The perception node collects multi-modal hydrological data and pre-processes; the edge gateway generates a basin grid through spatial interpolation of discrete sensor data, extracts multi-scale spatial features through spatial pyramid pooling and reduces dimension to a spatial coding vector; the cloud engine initializes the vector as a cell state of a forward long short-term memory network, and injects the forward hidden state into each gating unit of a reverse long short-term memory network through a coupling matrix in real time, realizes forward and reverse information collaboration, and finally outputs a future runoff prediction value. The application can retain the spatial heterogeneity structure of the basin, fully utilize future weather forecast information, and significantly improve the cross-region prediction accuracy and system disaster resistance.

The application discloses an automatic driving space planning enhancement method based on semantic region focusing, comprising the following steps: acquiring input information, including images of an automatic driving scene and texts of a space planning problem; designing a dynamic text library and constructing cross-modal correlation mapping of the text library and the images to generate a region-activated attribution graph; performing spatial visual coding on the images and fusing the attribution graph to construct an explicit spatial coding prompt, constructing a geometric feature enhancement prompt and combining the explicit spatial coding prompt to generate a structured prompt; inputting the input information and the structured prompt into a multi-modal large model to obtain an answer to the space planning problem; and introducing region attention prior through the explicit visual prompt and the text prompt, improving the attention degree of an automatic driving model to a key semantic region in a complex automatic driving scene, thereby enhancing the space planning capability of the automatic driving system.

The invention discloses a complex action detection method and device based on space-time fusion and a storage medium, and the method comprises the steps: obtaining a monitoring video stream of a target scene, marking key frames and continuous frames of a shot RGB video, respectively inputting the key frames and continuous frames into a space coding branch and a time sequence coding branch, and extracting a multi-layer feature map; inputting the extracted feature map into a feature fusion network constructed by a feature pyramid to carry out multi-scale feature fusion; in order to effectively fuse double-branch features and enhance spatio-temporal features, the invention provides a fusion module based on spatio-temporal attention, and the representation capability of video features is enhanced from time and space dimensions through a simplified multi-head attention mechanism, 3D time sequence convolution and depth separable convolution with residual errors. And finally, the category, duration and coordinate information of the target behavior in the video are obtained by decoupling the detection head. According to the invention, the detection accuracy is improved on the premise of ensuring real-time detection.

This invention relates to altitude coding, specifically to an altitude segment coding system based on true altitude. The system includes an altitude benchmark coding module, which determines the core benchmark for altitude coding and ensures compatibility with mainstream international aviation altitude standards; a multi-level altitude coding management module, which divides altitude segments and constructs corresponding coding systems based on the regulatory needs and operational characteristics of low-altitude flight; an altitude coding principle and administrative authority control module, which formulates altitude coding principles and establishes matching rules between administrative levels and altitude segments to ensure the scientific and practical nature of the coding system; and an integrated air-space-ground altitude coding fusion module, responsible for the application and implementation of the coding system, deeply integrating altitude coding with planar spatial coding and integrating it into relevant systems to improve the safety and management efficiency of low-altitude flight. The technical solution provided by this invention can effectively overcome the difficulties in airspace supervision and the high risks associated with low-altitude flight in existing technologies.

The invention discloses an intelligent campus operation and maintenance management system based on digital twinning, and relates to the technical field of campus operation and maintenance management, and the system comprises a homologous filing module which is used for establishing a space code and an object set, establishing an acquisition dictionary and completing source instantiation, generating an event tuple, and establishing upstream mapping; the credibility evaluation module is used for writing continuous measurement of the object into a twinning side recording time sequence according to the acquisition dictionary, calculating a rolling standard deviation and a consistency distance and generating a twinning credible account book; the evidence chain order distribution module is used for calculating an object priority order, constructing an evidence chain set according to upstream mapping, selecting a main chain, determining a primary positioning object, generating a work order set and distributing the work order set; and the closed-loop verification module is used for respectively generating twin trusted account books before and after disposal, comparing and verifying the twin trusted account books, updating twin side records and writing the twin side records into a disposal record library when the twin side records pass the verification, generating supplementary work orders when the twin side records do not pass the verification, and circularly verifying the supplementary work orders, so that the focusing degree of disposal resources is improved, and the operation and maintenance closed-loop verifiability and management normalization are enhanced.

The application discloses a kind of space positioning systems based on steady-state visual evoked potential.The stimulation module in the system utilizes the spatial coding strategy of four flicker arrays, the SSVEP signal induced is amplified and collected after signal pretreatment is carried out by electroencephalogram signal collection module, then the amplitude, phase, correlation coefficient of each stimulation frequency component and the ratio of the correlation coefficient corresponding to each coding stimulation frequency or phase are used as characteristic information to decode spatial information to determine the coordinates of visual fixation, finally the coordinate information is converted into instruction and given to controlled operation module, to realize visual feedback.The application can effectively solve the problem that the area of divided region and the number of target in each partition are limited in existing spatial coding, and the edge information of each partition cannot be distinguished, realizes the BCI of low visual load and accurate positioning in screen, and provides the possibility for realizing high-integration embedded BCI system.

The application provides an event camera-based time domain mapping encryption imaging method and system, and belongs to the field of computer vision hardware encryption imaging. The method comprises the following steps: a receiver builds an asynchronous time domain mapping imaging system and constructs a spatial coding key sequence, then obtains an SLM modulation pattern sequence, and obtains a noise SLM modulation pattern sequence and sends it to a sender; the receiver further obtains a spatial decoding key sequence based on the SLM modulation pattern sequence. The sender obtains imaging event information and an encrypted time decoding key sequence based on the noise SLM modulation pattern sequence and sends them to the receiver. The receiver obtains a fragmented grayscale image based on the spatial decoding key sequence and the received information, and then obtains a dense and complete grayscale image through a video completion network based on the fragmented grayscale image. The application can realize real-time encryption and reduce the risk of leakage before the transmission of encrypted information; moreover, the application is not sensitive to the collection environment, has high decoding efficiency and low implementation difficulty.