48 results about "Spatial relation" patented technology

The invention relates to the technical field of water level and water surface relation analysis, in particular to a lake water level and water surface relation analysis method based on a DEM and a remote sensing image, which comprises the following steps of: based on DEM and remote sensing image data, analyzing a space relation between measured data and the DEM, correcting abnormal elevation and adjusting original data, screening boundary points with small elevation difference, and calculating the water level and water surface relation of a lake; and performing statistics on water surface areas under different water levels to obtain a water level area change sequence. According to the method, through cooperative adjustment and automatic fusion based on multi-source spatial data, through elevation correction, spatial anomaly screening and time sequence change tracking, the consistency of spatial data is improved, elevation anomaly information is dynamically corrected, the discrimination capability of a water body spatial distribution boundary is enhanced, and dense water surface change information extraction is realized based on spatial overlapping data; the space node and area change trend under the water level grading condition can be automatically concluded, and the dynamic response characteristics of the lake space structure can be systematically reflected.

The invention belongs to the technical field of mineral resource exploration, and provides a multi-source remote sensing data and AI combined copper ore exploration method and system, and the method comprises the following steps: obtaining multi-source remote sensing data of a target region through a plurality of remote sensing devices; preprocessing the multi-source remote sensing data to obtain fusion data; the fusion data are analyzed through an AI algorithm, and mineralization alteration areas and geological structure information are obtained through recognition; performing overlay analysis on the mineralization alteration area and the known geochemical anomaly area, analyzing the spatial relationship between the mineralization area and the structure in combination with the geological structure information, and judging the favorable mineralization part of the copper ore to obtain an analysis result; performing field investigation on the potential copper ore area determined by the analysis result, collecting rock samples for laboratory analysis, and verifying the accuracy of the analysis result; according to the method, the multi-source remote sensing data and the AI technology are comprehensively utilized, the target area is rapidly analyzed, the potential copper ore area is positioned, the workload of blind exploration is reduced, and the exploration efficiency is improved.

Provided are a method and device for determining a power control parameter, and storage medium. The method includes: determining a beam state of an uplink transmission; and determining, based on the beam state, the power control parameter of the uplink transmission, where the beam state at least includes one of the following: a QCL state, a TCL state, spatial relation information, reference signal information, spatial filter information or precoding information.

A method for determining a reference station setup point for setting up a reference station includes moving a construction machine to a waypoint. At this waypoint, position data describing the position of a construction machine reference point on the construction machine are determined on the basis of the satellite signals of a global navigation satellite system and the correction signals of a reference station already set up on site in the vicinity of the earthmoving machine. The position data describing the position of the reference station setup point are determined based on the position data describing the position of the construction machine reference point on the construction machine at this waypoint and on the basis of a specified spatial relationship between the construction machine reference point and the point specified as the reference station setup point on the ground surface.

The present application provides a positioning method for a robotic system, and a robotic system. The method comprises: acquiring a first spatial relationship between a calibration reference object and a first robot by means of a first detection system disposed on the first robot, and acquiring a second spatial relationship between the calibration reference object and a second robot by means of a second detection system disposed on the second robot; and then determining the spatial relationship between the first robot and the second robot on the basis of the first spatial relationship and the second spatial relationship, such that the relative positions of a plurality of split robots can be calibrated.

The invention relates to the technical field of remote sensing, in particular to a high-resolution remote sensing image scene classification method based on FACNNCN. According to the technical scheme, the method comprises the following steps: firstly, carrying out unified preprocessing on an input RGB high-resolution remote sensing image; the method comprises the steps that firstly, a VGG-16 network is utilized to extract multi-layer convolution features, convolution features with the distinguishing enhancing capacity are generated through cross-layer aggregation, then the aggregation features are input into a vector capsule network, modeling of ground feature local features and the spatial relation of the ground feature local features is achieved by constructing low-layer capsules and high-layer capsules, and coupling between the capsules is optimized through a dynamic routing algorithm; and finally, judging the scene category to which the image belongs through the module length of the output vector of the high-level capsule. Experimental results show that the method has excellent performance on two remote sensing scene classification data sets, and the defects that scene image feature extraction is insufficient and ground feature space features are not considered in a current high-resolution remote sensing image scene classification method based on the convolutional neural network are effectively overcome.

The invention discloses an abnormal event detection method and system based on traffic data and a storage medium, and belongs to the technical field of computer network security, and the method comprises the steps: obtaining original network traffic data, and carrying out the data segmentation, and obtaining traffic sample data; performing data preprocessing on the traffic sample data to obtain processed data; respectively performing time feature extraction and spatial feature extraction on the processed data to correspondingly obtain time feature data and spatial feature data of the network traffic; and performing feature fusion based on the time feature data and the space feature data, and performing anomaly detection on the fused space-time feature data based on a space-time attention mechanism. According to the method, the spatial relationship of bytes in the data packets and the time relationship between the data packets can be captured at the same time, and the overall performance of anomaly detection is improved by utilizing the time sequence dependency between the data packets and the spatial relationship in the data packets. A space-time attention mechanism can comprehensively consider global time sequence and local space information, and the accuracy and efficiency of abnormal traffic detection are improved.

The invention relates to the technical field of artificial intelligence, and discloses an AI-based ancient poem automatic labeling and artistic conception visualization system, which comprises the following modules: an artistic conception tensor construction module, which is used for receiving an input ancient poem text, analyzing the ancient poem into a preset multi-dimensional artistic conception tensor, and storing the multi-dimensional artistic conception tensor in a database; the artistic conception tensor is used for representing multi-dimensional artistic conception information of the ancient poem; the coupling generation module is used for receiving the artistic conception tensor and generating an image potential representation through a generation model containing learnable parameters by taking the artistic conception tensor as a guide signal; and the image decoding module is used for decoding the image potential representation and outputting a visual image corresponding to the artistic conception of the ancient poem. A multi-dimensional artistic conception tensor containing semantic images, spatial relations, emotional atmospheres and aesthetic styles is constructed to replace traditional single text cue words, deep and structured analysis of the content of ancient poems is achieved, and the system can surpass matching of surface semantics.

A terminal according to one aspect of the present disclosure includes a receiving section that receives information related to configuration of transmission of a plurality of physical uplink shared channels (PUSCHs) based on one piece of downlink control information (DCI), and a control section that determines, out of a plurality of reference signal indices, one or more reference signal indices used for at least one of spatial relations and pathloss reference signals (PL-RSs) for the plurality of PUSCHs. According to one aspect of the present disclosure, it is possible to appropriately control PUSCH repetition transmission even when multiple TRPs are applied.

Methods and apparatuses for determining default spatial relation and default PL-RS are disclosed. A method comprises determining a default spatial relation and a default pathloss reference RS (PL-RS) for transmission of uplink resource on a serving cell without configured CORESET, the uplink resource is configured with neither higher layer parameter related to spatial relation nor higher layer parameter related to PL-RS, and the higher layer parameter related to enable default beam for the uplink resource is set to ‘enable’, and transmitting the uplink resource according to the determined default spatial relation and the power determined by the determined default PL-RS.

The present disclosure relates to methods and devices for wireless communication including a UE and a base station. The UE can receive a MAC CE indicating an update to a spatial relation configuration of the UE for PUCCH transmissions. In some aspects, the update can be indicated by PUCCH resource information, where the PUCCH resource information can include first PUCCH resource information including a first PUCCH resource ID that identifies a first PUCCH resource and first spatial identification information. Additionally, the UE can update the spatial relation configuration of the UE based on at least one of the first PUCCH resource information or other PUCCH resource information of the PUCCH resource information, where the other PUCCH resource information can be in a same PUCCH resource group as the first PUCCH resource. Also, the UE can transmit a PUCCH transmission based on the updated spatial relation configuration.

Apparatuses, methods, and systems are disclosed for updating SRS spatial relation information. One method includes transmitting first information indicating SRS spatial relation information for an SRS resource. The SRS spatial relation information includes: SRS spatial relation information identifiers; and an SRS spatial relation information reference signal corresponding to each SRS spatial relation information identifier. The method includes transmitting second information indicating an update to the SRS spatial relation information. The second information includes: a serving cell identifier; a bandwidth part identifier; one or more SRS resource identifiers, one or more SRS resource set identifiers, or a combination thereof; and one or more SRS spatial relation information identifiers. Each of the one or more SRS resource identifiers corresponds to each of the one or more SRS spatial relation information identifiers.

A user equipment (UE) configured for operating in a wireless communication network that supports a plurality of reference signals (RS) such as sounding reference signals, comprises a wireless interface configured for transceiving signals, comprising receiving a configuration signal having a configuration information indicating a reference spatial relation. The UE further comprises a controller for evaluating the configuration information and to determine the reference spatial relation. The UE is configured for using the reference spatial relation as a reference for an uplink RS (UL-RS) in the wireless communication network.

The invention discloses a water quality analyzing and monitoring method based on the Internet of Things, and relates to the technical field of water environment on-line monitoring and algae bloom early warning. A dynamic topology construction mechanism combines a node space relation with real-time hydrological dynamics, and quantifies water transportation directivity by using flow velocity vector projection; the monitoring network automatically adapts to environmental changes such as stormy waves and water flow; the space-time convolution layer directly processes multi-node time sequence data at an edge end, synchronously captures a time evolution rule and a space diffusion path of algae proliferation through a graph neural network, and replaces a cloud backhaul analysis mode; according to the technology, the response limitation of an unstable network region is broken through, minute-level localization early warning is realized, and the delay from anomaly detection to decision intervention is greatly shortened; according to the method, an adaptive weight mechanism is introduced, and sensor drift and environmental interference are automatically compensated through dynamic length scale adjustment and direction factor nonlinear mapping, so that the manual calibration frequency is remarkably reduced.

A method of mapping a gingival surface of a patient's jaw using at least one spatially trackable reference object in a fixed spatial relation to that jaw and a spatially trackable mapping tool. A plurality of gingival surface coordinate sets are captured in a coordinate frame of the jaw. Each of the gingival surface coordinate sets is captured when the mapping tool is in contact with a corresponding gingival surface location on the gingival surface. A geometrical gingival surface descriptor is computed from the plurality of gingival surface coordinate sets.

A microscopy method involves directing a focused beam of excitation radiation at an examination location of an object to be examined, to create an excitation volume in the object. An overview image is used to identify at least one structure of the object and define at least one of the identified structures as a reference structure. A spatial relationship is defined between the positions of the examination location and the reference structure. Detection radiation coming from the excitation volume is acquired as measurement values over an overall measurement duration, the overall measurement duration being subdivided into a plurality of measurement intervals. At least every second measurement interval is preceded by a comparison of the current position of the focused beam with a current position of the examination location. The positioning of the focused beam is corrected in the case of an inadmissible deviation of the current positions.

The invention discloses an information indication method and device, a base station, a terminal, a storage medium and a computer program product, and the method comprises the steps that the base station receives capability information reported by the terminal; wherein the following fields in the capability information are configured to be available in a full frequency band: a field representing a spatial relationship of the terminal; and a field representing that the reference signal is used for beam polling, and / or a field representing that the reference signal is used for beam pairing, and / or a field representing that the reference signal is used for beam management.

A method for subband full-duplex communication by a wireless transceiver unit (WTRU) is described. The method includes receiving first configuration information for one or more downlink (DL) reference signals (RS), receiving first power control information and second configuration information indicating second power control information, and for each of the one or more DL RSs, indicating whether the DL RS is protected or not in a subband non-overlapping full-duplex (SBFD) symbol, and for DL ​​RSs not protected in an SBFD symbol, indicating whether the second configuration information adjusts the power of the associated UL transmission, and transmitting an UL transmission in a resource that overlaps with an unprotected SBFD symbol, including the first DL RS of one or more DL RSs.

A terminal according to one embodiment of the present disclosure includes a reception unit that receives information indicating a spatial relationship between a reference reference signal (RS) and a target RS for transmission configuration indication (TCI) states of uplink (UL) and downlink (DL); and a control unit that controls to apply the TCI states to an UL channel and the target RS based on the information. According to one embodiment of the present disclosure, appropriate UL transmission can be implemented.

The invention relates to the technical field of light sensing detection, and discloses a rice inspection method and system based on a light sensing technology, and the rice inspection method based on the light sensing technology comprises the steps: obtaining a visible-near infrared hyperspectral image of a rice sample, and generating a spectrum partition mask; and adaptively adjusting structured light projection parameters based on a spectrum partition mask to obtain three-dimensional point cloud data, analyzing a fringe deformation mode, extracting multi-modal features to generate a feature tensor, and inputting the multi-modal features into a graph convolutional neural network to output a defect-variety comprehensive evaluation matrix. Projection parameters are adaptively adjusted through spectrum pre-scanning, and the problem of difference of reflection characteristics of different varieties of rice is solved; the spatial relation is modeled through the graph convolutional network, and the problem of multi-modal data spatial registration precision is solved.

The invention relates to the technical field of agricultural remote sensing and artificial intelligence, and discloses a pasture dominance identification method based on a convolutional neural network, and the method comprises the steps: obtaining synchronous multi-modal data of a pasture region to be identified; performing feature extraction and fusion on the synchronous multi-modal data to obtain a fusion feature vector; segmenting the high-resolution RGB image into a plurality of sub-regions, abstracting the sub-regions as nodes, and combining with the fusion feature vector to construct a heterogeneous spatial relation graph; reasoning the heterogeneous spatial relation graph by using a graph attention network guided by structure prior, and outputting a category label for each node; and finally, according to the category label of each node and the corresponding sub-region area, calculating the dominance degree of different types of pasture. By fusing multi-source data and utilizing the graph attention network guided by the structure prior, the problems that a single data source is insufficient in feature and the spatial structure is neglected are solved, and high-precision quantitative evaluation of the dominance degree of pasture is realized.

The invention belongs to the technical field of radar wave detection, and provides a radar point cloud target detection method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining radar point cloud data of a target vehicle, processing the radar point cloud data of the target vehicle through a target detection model, and obtaining a target recognition result of the target vehicle; the target detection model is obtained through training of the MPNN with the NLNN inserted and the combined loss function, the point cloud spatial relation topological graph is constructed, local spatial features and global context information are fused, effective representation of target features is achieved, and the target classification accuracy in complex scene perception is improved.

A terminal according to one aspect of the present disclosure includes: a receiving section that receives information indicating mapping between an identifier of spatial relation information and a path loss reference signal by using higher layer signaling; and a control section that determines the path loss reference signal used for transmission power control, based on the indicated identifier of the spatial relation information and the mapping. According to one aspect of the present disclosure, parameters related to UL transmission power control can be appropriately determined.

The invention discloses an urban and rural fusion map construction method based on remote sensing data, relates to the technical field of geographic information, and is used for solving the problems of incomplete data integration and indefinite driving mechanism in urban and rural fusion level evaluation and evolution analysis. An urban and rural fusion level classification system is formed; carrying out structured labeling on the space units, wherein the structured labeling comprises space-time evolution graph coding, functional attribute hierarchical division and space relation vector construction; analyzing a driving mechanism, screening effective driving factors through a geographic detector and a regression model, and identifying a causal path; an urban and rural fusion knowledge graph is constructed, and integrity, consistency and effectiveness quality evaluation is carried out; and the accuracy and the interpretation capability of the atlas are remarkably improved.

A method for sub-band full duplex communication by a wireless transmit / receive unit (WTRU) is described. The method includes: receiving first configuration information for one or more downlink (DL) reference signals (RSs); receiving second configuration information indicating the first power control information and the second power control information, and indicating, for each of the one or more DL RSs, whether the respective DL RS is protected or unprotected in a sub-band non-overlapping full duplex (SBFD) symbol, and, for the DL RSs that are unprotected in the SBFD symbol, determining whether the respective DL RS is protected or unprotected in the SBFD symbol. The second configuration information indicates whether to adjust the power of associated UL transmission; and transmitting the UL transmission in a resource overlapping with an unprotected SBFD symbol including a first DL RS of the one or more DL RSs.

A method, network node and wireless device (WD) for adapting periodic configurations based on spatial relations are disclosed. According to one aspect, a method includes configuring multiple transmission resources or multiple sets of transmission occasions for a radio resource control configured periodic uplink transmission. The method further includes associating each configured uplink transmission received from the WD by the network node with a downlink reference signal, the downlink reference signal provided as a direct or indirect spatial relation reference for the uplink transmission.

The invention provides a semiconductor wafer manufacturing AMHS logistics state intelligent prediction method and system, and the method comprises the steps: carrying out the multi-scale time sequence feature extraction and hierarchical spatial relation modeling through an encoder, and capturing the short-term, middle-term and long-term dynamic characteristics through a multi-scale attention mechanism in the time dimension, a graph attention network GAT and an improved space Transform are adopted in parallel in the spatial dimension to model a local neighborhood and global dependency relationship respectively, and cross-scale spatial-temporal feature fusion is realized through connection of a gating fusion mechanism and a residual error; and decoding the fused complex spatial-temporal features by using a decoder including double-layer convolution decoding and reverse normalization processing, and predicting a logistics state matrix sequence of a plurality of time steps in the future. According to the method, through deep coupling of the multi-scale spatial-temporal features, the problems of spatial-temporal feature separation, incomplete multi-scale information capture and difficult modeling of a complex topological structure in a traditional method are effectively solved, and the accuracy and stability of AMHS logistics state prediction are remarkably improved.

A technique for determining a pose of an optical tracker is presented. The optical tracker has at least one planar region configured to emit or reflect polarized light and an optical marker in a fixed spatial relation to the at least one planar region. A method implementation of the technique comprises receiving image data indicative of the marker and of polarizations of light received from the at least one planar region. The method further comprises determining, based on the image data and the fixed spatial relation between the marker and the at least one planar region, a pose of the optical tracker.

One or more embodiments of the present specification provide a vehicle navigation method, a storage medium, and a program product, the method comprising: acquiring a global map and at least one local map, the global map comprising an entry point corresponding to each local map; in response to a vehicle navigation request for a navigation destination, determining a spatial relationship between a navigation route specified by the navigation request and each local map, and determining a target local map corresponding to the navigation destination based on the spatial relationship; and navigating to a target entrance point corresponding to the target local map based on the global map, and navigating to the navigation destination based on the target local map.

Provided are a method and apparatus for determining a sending power of an uplink element, a device and a storage medium. The method includes the following: determining X spatial relationship reference signal resources corresponding to an uplink element; determining a power parameter associated with the X spatial relationship reference signal resources; and determining a sending power of the uplink element according to the power parameter, where X is a positive integer greater than or equal to 1.