61 results about "Location awareness" patented technology

In various examples, systems and methods described herein may cause a machine to establish a network connection with a network access device based at least on map data indicating to use the network access device for network connectivity at a location of the machine. In some examples, the map data may be generated based at least on one or more network performance scores associated with one or more network access devices disposed in the environment. In some instances, the network performance score(s) may be determined based at least on one or more wireless network signals transmitted by the network access device(s) and obtained using the machine and / or another machine. The network performance score(s) may, in some examples, be indicative of a signal strength associated with the network access device(s) at the location of the machine.

The invention relates to the technical field of image geographic positioning, in particular to a progressive cross-view-angle image geographic positioning method based on spatial feature aggregation and position awareness, which comprises the following steps: acquiring paired satellite images and ground panoramic images as sample images, and constructing a training sample set; a cross-view image geographic positioning model composed of a double-branch backbone network and a fine-grained prediction network is constructed, two branches of the double-branch backbone network are a satellite processing branch and a ground panorama processing branch, and the fine-grained prediction network is composed of a bird's-eye view image transformation module and a position sensing prediction module; inputting training samples in the training sample set into the cross-view image geographic positioning model, and performing iterative training on the cross-view image geographic positioning model until convergence; and inputting a to-be-positioned paired satellite image and ground panoramic image into the trained cross-view-angle image geographic positioning model to obtain a positioning result output by the trained cross-view-angle image geographic positioning model.

The present invention relates to a location-awareness-based network intermediate device, at least comprising a scheduling module, which is configured to fuse short-term historical data about short-term and / or real-time network performance and location-awareness-based multi-day network performance data, so as to generate context data for predicting network performance, and acquire a deterministic connectivity mode in a mobile network environment based on the context data so as to enhance performance of end-to-end transmission. With this configuration, the concept of location-awareness-based packet scheduling can be translated into an actual system for end-to-end multi-path transmission. From the location-awareness-based long-term multi-day network performance data, the deterministic connectivity pattern of trains in the high-speed mobile network environment can be acquired, and after being fused with the short-term historical data observed in a short time period, a good basis for calibration of prediction of network performance can be provided, thereby enhancing robustness of network connectivity in a high-speed movement scene.

The invention belongs to the technical field of network abnormal behavior detection, and particularly relates to an abnormal behavior detection method based on a TransGAN network. The method comprises the following steps: firstly, dynamically evaluating feature importance by utilizing a time sliding window mechanism in combination with a time sequence sensitive XGBoost algorithm, and screening a basic feature set and an attention key feature set through double thresholds; then, a TransGAN model in which a generator and a discriminator cooperatively work is constructed, the generator adopts a position sensing embedding technology to strengthen key feature focusing and introduces a gating mechanism to dynamically adjust basic feature weight, and the discriminator fuses depth separable convolution to extract local features and carries out global distribution comparison with a lightweight Transform decoder; and finally, through a dual-channel detection assembly line and a reconstruction channel, calculating residual features of input data and generating output, judging channel generation anomaly confidence, and fusing the two to form a comprehensive anomaly score to realize accurate judgment. The accuracy, robustness and real-time performance of anomaly detection are improved, and the method is suitable for various anomaly detection scenes.

The embodiment of the invention provides a communication perception integration implementation method, a position perception method, a position perception device and equipment. The method comprises the following steps: generating detection signals by using a first communication unit, respectively mapping the detection signals to a plurality of first sensing symbols of a first flexible frame, and sending the detection signals according to a preset first frame structure, the first flexible frame being a frame in the first frame structure; a second communication unit is used for receiving echo signals at each second sensing symbol of a second flexible frame according to a preset second frame structure and sending the echo signals to a sensing processing unit, the second frame structure is the same as the first frame structure, and the symbol ratios of the first flexible frame and the second flexible frame are different; the echo signal is a signal obtained after the detection signal is reflected by a target object; the relative position of the communication device and the target object is determined by using the perception processing unit. While the position is sensed, the normal communication service is not influenced, and the communication function and the position sensing function can be completed in the same communication device.

The invention provides a dynamic right distribution method, medium and system based on position awareness, and belongs to the technical field of dynamic right distribution, and the method comprises the steps: collecting the real-time position data of a consumer through a mobile terminal, building a position trajectory diagram, and calculating a position residence intensity index; then, merchant positions in a business district are obtained to construct a position matrix, and the merchant positions where consumers are located are determined by combining the wireless network identifiers to generate position association degrees; analyzing historical consumption data and behavior characteristics of consumers by using a prediction model of a multi-head space-time attention network structure, and calculating a merchant attraction index by combining a position residence intensity index and a position correlation degree; a time sensitivity coefficient is further adjusted through a consumer value judgment function, and a right issuing threshold value is dynamically adjusted according to a business district people flow density factor; and finally, selecting a proper right and interest type according to the consumer portrait and accurately pushing the right and interest type, thereby realizing dynamic accurate right and interest distribution based on location awareness.

The embodiment of the invention discloses a vehicle data processing method and device, electronic equipment and a readable storage medium, and the method comprises the steps: obtaining the position sensing information of a vehicle, and responding to the position sensing information which comprises at least one traffic marker. Determining a target reference object corresponding to the at least one traffic marker and a distance between the vehicle and the target reference object, determining a second distance between a positioning point of the vehicle on the navigation page and the mapping reference position based on the map data, and determining a longitudinal error according to a difference value between the second distance and the first distance, and adjusting the position of the positioning point on the navigation page according to the longitudinal error. Therefore, through the method, the longitudinal error existing in vehicle positioning can be determined and improved, and the accuracy of vehicle positioning is improved.

This invention relates to the field of target detection technology, specifically disclosing a target detection method, device, and storage medium for dedicated railway operation scenarios. The method includes: constructing a training dataset; building a basic target detection model based on the detection accuracy requirements of dedicated railway operation scenarios; optimizing the basic target detection model, including constructing a location-aware space-frequency coordination module in the backbone network to generate a spatial high-frequency saliency map using a dual-stream architecture and local frequency domain changes; constructing a frequency-guided cascaded feature alignment module in the feature pyramid network to guide the geometric offset of the predicted feature map based on the spatial high-frequency saliency map, and deforming and aligning the semantic attention map; and performing multi-round iterative training based on a combined loss function including detection loss and auxiliary constraint loss. The target detection method for dedicated railway operation scenarios provided by this invention can improve the accuracy of detecting small targets in dedicated railway scenarios.

The invention discloses an operator switching method and device based on position information, and relates to the technical field of network switching, and the operator switching method based on position information comprises the steps: generating a multi-source position data set according to satellite positioning data, base station signaling data and IP address data; performing feature extraction and fusion processing on the multi-source position data set to obtain structured state data including country codes, region codes and network service levels; writing the structured state data into a working memory of a rule engine, and sorting business rules in a rule base of the rule engine to obtain a rule execution queue; and generating an operator switching instruction according to the structured state data in the working memory and the service rules in the rule execution queue, and completing operator switching according to the operator switching instruction. According to the invention, intelligent switching of cross-border operators can be realized based on multi-source location awareness and a dynamic rule engine.

The invention provides a visible light communication, position awareness and energy collection integrated method based on OFDM, and relates to the technical field of visible light communication. The method comprises the following steps: at a sending end, performing OFDM modulation on user information to be sent to generate an OFDM signal, and sending the OFDM signal to a receiving end through a plurality of LEDs; at a receiving end, adopting a silicon photocell as a photoelectric detector to receive the OFDM signals sent by the plurality of LEDs to obtain received signals; at a receiving end, separating a direct-current component and an alternating-current component in a received signal by adopting an alternating-current and direct-current separation circuit, and performing energy collection on the separated direct-current component; at a receiving end, processing the separated AC component, extracting a positioning subcarrier and a communication subcarrier, performing OFDM demodulation on the communication subcarrier, recovering user information, and determining the position information of the user according to the light intensity information contained in the positioning subcarrier and the position information of the LED; in this way, communication, location awareness and energy harvesting functions can be provided for users at the same time.

This invention discloses an embodied intelligent agent position perception method and system based on wireless radio frequency fingerprinting, belonging to the field of embodied intelligent agent wireless position perception technology. The method includes: using a full-band multi-directional wireless signal acquisition device to collect radio frequency signals in a time-division manner and obtain digital signals containing radio frequency fingerprints; clustering and grouping the digital signals, assigning identity authentication IDs, and removing invalid data; training a classification model using the grouped data and realizing ID recognition; determining relative position by combining angle arrival algorithm and signal power strength; dynamically sensing relative position time changes based on its own position changes; and performing the clustering to dynamic sensing steps in a long-cycle loop to realize the dynamic discovery and deletion of intelligent agents. This invention is based on physical layer autonomous perception, requires no central node, and has the characteristics of low latency, low power consumption, and high accuracy. It is suitable for the dynamic collaborative needs of multiple intelligent agents in power scenarios and can be widely used in embodied intelligent agent collaborative operations in power scenarios such as substations and converter stations.

The embodiment of the invention provides a distributed cooperative positioning method and system facing non-convex topology and DOS attack, and the method comprises the steps: obtaining a plurality of communicable vehicles closest to a to-be-positioned vehicle, and enabling the plurality of communicable vehicles to be not collinear; obtaining symbolized barycentric coordinates of the to-be-positioned vehicle relative to the plurality of communicable vehicles; when a communication link is normal, iteratively updating the current position information of the to-be-positioned vehicle based on the previous position information of the to-be-positioned vehicle, the symbolized barycentric coordinates and the current position information of the plurality of communicable vehicles; when the communication link is subjected to the DoS attack, position compensation is obtained based on the influence condition of the DoS attack on the communication link; and iteratively updating the current position information of the to-be-positioned vehicle based on the position compensation. According to the embodiment of the invention, reliable position sensing support can be provided for an intelligent motorcade in a high-dynamic and weak communication guarantee environment.

This invention discloses a clustering method for underwater wireless sensor networks based on improved AP clustering, which relates to the field of underwater wireless sensor network topology optimization. By acquiring node status information in the underwater wireless sensor network and initializing node feature data, the method improves its adaptability to underwater environments by comprehensively considering inter-node distance, received signal strength, and node residual energy. It also employs an energy and position-aware mechanism to iteratively update attraction and affiliation information to form a preliminary cluster structure, effectively addressing node energy consumption and position changes in complex underwater environments. Based on the node communication range, preference values ​​are updated to adjust the cluster structure to ensure that no nodes leave the cluster. A comprehensive weight function for cluster head updates is designed to avoid bias due to a single factor. This invention can better adapt to complex underwater environments, effectively optimize network topology, balance sensor node energy consumption, and improve the stability and energy efficiency of underwater wireless sensor networks.

The invention discloses a coverage performance test method, a coverage performance test device and electronic equipment, relates to the technical field of communication, and aims to solve the problem that the coverage boundary capability of a single station cannot be scientifically and comprehensively evaluated in related technologies. The method comprises: according to working parameters of a base station, determining a plurality of test trajectories for a sector of the base station and a plurality of different test heights corresponding to each test trajectory, the plurality of test trajectories at least comprising: a first trajectory along a horizontal normal direction of the sector, and a second trajectory and a third trajectory along a horizontal coverage maximum angle direction of the sector; track test data is obtained, and the track test data comprises position sensing data of the base station to the test equipment in the process that the test equipment carries out movement test according to the multiple test tracks and the multiple different test heights; and according to the track test data, determining a coverage performance parameter set for representing the actually measured coverage range of the base station.

The invention discloses a sequence recommendation method based on a pulse graph neural network. The method comprises the following steps: dividing user-project interaction data into T adjacent matrixes according to time periods; the time perception interaction denoising module based on the attention mechanism is used for denoising each section of adjacent matrix by using a soft attention mechanism; a pulse driving graph neural network module is adopted, and node representation is updated through LIF pulse neurons, dual regulatory factors and a dual-threshold mechanism; explicitly modeling long-distance time dependence based on a position awareness attention sub-module; performing weighted integration on recent and historical interests based on a time-aware interest fusion sub-module to obtain an integrated user item representation; future interaction prediction is made based on the user item representation. According to the novel sequence recommendation method provided by the invention, long and short term interests and time dynamics of the user can be modeled at the same time, a pulse neuron and time contrast learning mechanism is introduced, and the defects of an existing recommendation system are overcome.

The present application relates to a position sensing method and apparatus, a computer device, a readable storage medium, and a program product. The method is applied to a receiver. The method comprises: processing a received reception signal to obtain a direct link signal corresponding to a signal source; on the basis of a serial interference cancellation policy and the direct link signal, determining a reflected link signal from the reception signal; performing sensing parameter estimation on the reflected link signal to obtain position sensing data; and determining coordinate information of a target device on the basis of the position sensing data. The present method can improve the accuracy of position sensing of reflection and scattering devices.

An exemplary computer-readable medium for determining a location of a device within an environment comprises program code that, when executed by one or more processors, causes the one or more processors to determine a current path signature for a device moving within the environment, compare the current path signature to a stored reference path signature corresponding to a location of interest (LOI) within the environment, and determine that the location of the device is the same as the location of the LOI within the environment if the current path signature is determined to correspond to the stored reference path signature.

The invention discloses a vehicle trajectory prediction method based on an improved HTM, and the method comprises the steps: compressing an original code into a short code through multi-dimensional feature fusion, carrying out the feature extraction of a space pool through an SPLSN (micro-column self-recommendation space pool module), and achieving the time pool time sequence modeling through a TPLLAA (position sensing time pool module). And multi-path input expansion is realized by introducing a sequence caching mechanism. According to the multi-dimensional compression coding method, the sparse distribution representation is generated by fusing grid, time period and category coding, so that the data redundancy can be reduced, and the calculation complexity can be reduced; graded activation and synaptic protection can be realized by combining a micro-column self-thinning space pool module with a bearing degree and an overlapping value, and the efficiency and the accuracy are improved; tPLLA is utilized, position information is introduced to optimize cell selection, and an active set is reduced to inhibit historical interference; and by utilizing an SSCM (sequence state cache) mechanism, multi-track parallel processing and quick context retrieval can be supported, and the real-time processing capability is improved.

The application discloses a communication positioning integrated method for maritime communication and belongs to the field of maritime wireless communication. The method provided by the application uses ground base stations and low-orbit satellites to provide communication services for near-shore user groups and far-shore user groups respectively, and completes wide-area coverage of sea areas. The ground base stations and the low-orbit satellites transmit communication positioning dual-function signals, sea user terminals receive and decode data signals, the ground base stations and the low-orbit satellites receive reflection signals containing target position information from the sea user terminals respectively, and then transmit the reflection signals to the ground base stations through a space-ground link to perform data fusion and target position estimation, so that the sea user is provided with information communication services and the target is subjected to position perception. The application provides an effective communication positioning integrated method for a maritime communication system based on a space-ground heterogeneous network.

The present application relates to a kind of based on high-precision position sensing surveying and mapping method, device, equipment and storage medium, comprising the following steps, utilize high-precision GNSS receiver to collect the position signal of surveying and mapping area target survey point, obtain survey point coordinate and associate time stamp, form with time tag coordinate;Calibration coordinate is obtained by threshold screening and correction processing, and adjacent survey point spacing data is accounted;Calibration coordinate is combined with survey point spacing data, and the basic geographic three-dimensional base map obtained is grid division and feature point matching, and regional grid chart is generated;Based on regional grid chart, calculate terrain undulation, obtain grid elevation difference;Finally, combined with grid elevation difference, basic geographic three-dimensional base map is implemented texture filling and boundary optimization, complete the fine expression of topographic feature, output high-precision surveying and mapping image, solve how to improve the anti-interference ability of survey point data, and realize the technical problem of the automation, fine reconstruction from discrete coordinate to high-fidelity three-dimensional topographic map.

This invention provides a method and system for road defect detection based on UAV optical remote sensing imagery, belonging to the field of road defect detection. To address the shortcomings of existing road defect detection methods in small target recognition and feature extraction under complex background interference, this invention utilizes a CSP-SMAM module, enabling the model to efficiently extract multi-scale features, particularly enhancing the perception of targets of different scales in complex scenes. Combined with a CAFPN structure, the model further improves feature fusion and localization accuracy. The Wise-MPDIoU loss function optimizes the target localization process, making it particularly suitable for small target detection. Finally, the CA attention mechanism enhances the model's localization ability through direction and position awareness information, improving the model's recognition accuracy in complex backgrounds.

A climate control system may include climate sensors distributed within an environment containing a plurality of loads as well as control units distributed within the environment. The system may include a controller communicatively coupled with the climate sensors and the climate control units. The controller may receive localized climate data from the climate sensors. The controller may determine, for each of the climate control units, load-specific impact data associated with at least one incremental change of one or more operational settings on the loads based on the localized climate data. The controller may identify a localized climate anomaly based on the localized climate data. The controller may provide, in response to the localized climate anomaly, a targeted climate adjustment of at least one of the one or more operational settings of a subset of the climate control units based on the load-specific impact data.

The invention discloses a node position sensing method under a Mesh network based on satellites, and belongs to the technical field of node position sensing, and the method comprises a node position sensing step under the condition that all nodes can receive satellite signals: obtaining an observation equation of the nodes in the Mesh network about a Beidou satellite pseudo-range, and carrying out linear processing and expansion at approximate points to obtain an observation equation of the nodes in the Mesh network; obtaining a pseudo-range error matrix expression; fitting the pseudo-range error matrix expression by using a least square method to obtain an offset at an approximate point, and further obtaining a position coordinate of a node; a node position sensing step under the condition that part of nodes in the controlled blocking domain receive satellite signals: determining a reference node based on the signal receiving condition of the nodes in the controlled blocking domain and the node positions; and obtaining a distance matrix equation from a reference node to an unknown node by using a bilateral bidirectional ranging technology, and performing fitting solution by using a least square method to obtain position coordinates of the unknown node. The method can be suitable for multi-node communication with all nodes being equal in status.

The invention discloses a laser hovering emergency flight traffic light system based on intelligent scheduling and multi-source perception. The flight execution unit can precisely hover above a road, and the height and the position are adjusted according to a task instruction; the sensing acquisition unit acquires traffic flow, signal lamp state and environment brightness information in real time; the instruction scheduling unit automatically identifies a signal fault area according to the sensing data, plans a flight path and a hovering position of the unmanned aerial vehicle, and sets a display time sequence and duration of a laser signal; the laser display unit projects red, yellow and green light beams in the air to replace a ground traffic light for traffic indication; the local emergency control unit can independently execute a pre-stored rule when communication is interrupted, and continuous output of traffic signals is kept; the system can realize multi-unmanned aerial vehicle cooperative scheduling through a wireless network, has the characteristics of quick response, flexible deployment and high reliability, and remarkably improves the safety and command capability of urban traffic in an emergency state.

Location-aware spatial reuse can be provided. First, an overlapping basic service set (OBSS) transmission to be received at a device can be detected by a first access point (AP). The location of the device can then be determined. Next, based on the determined location, it can be determined that the device is out of range of the first AP. Then, in response to determining that the device is out of range of the first AP, the first AP can perform spatial reuse (SR) transmissions based on OBSS packet detection (PD) without reducing transmit (Tx) power for the transmission.

The invention discloses a communication and positioning integrated method for maritime communication, and belongs to the field of maritime wireless communication. According to the method provided by the invention, a ground base station and a low-orbit satellite are utilized to provide communication services for a near-shore user group and a far-shore user group respectively, and wide-area coverage of a sea surface area is completed. The ground base station and the low-orbit satellite transmit communication and positioning dual-function signals, the offshore user terminal receives and decodes data signals, and meanwhile, the ground base station and the low-orbit satellite respectively receive reflection signals containing target position information from the offshore user terminal; and then transmitting the data to a ground base station through a satellite-ground link to carry out data fusion and target position estimation, and carrying out position sensing on a target while providing an information communication service for offshore users. The invention provides an effective communication and positioning integrated method for a maritime communication system based on a satellite-ground heterogeneous network.

The invention discloses a magnetic lock capable of achieving remote communication and positioning, and belongs to the technical field of intelligent locks and the Internet of Things. The magnetic lock comprises a lock body, a control module, an NBIoT wireless communication module, a GPS / Beidou dual-mode positioning module and a power management module. The NBIoT module is used for realizing remote data interaction between the equipment and a cloud platform and supporting lock state monitoring and control instruction transmission; the positioning module is used for acquiring equipment position information in real time and triggering an alarm when abnormal displacement occurs; the power management module supports combined power supply of commercial power, solar energy and a storage battery, and has a low-power-consumption design. The problems that a traditional magnetic lock cannot achieve remote communication and lacks position sensing capacity are solved, and the magnetic lock is suitable for scenes such as security access control and mobile asset monitoring and has the advantages of being high in reliability, long in standby time and easy and convenient to install.

The solution enhances the security of new wireless device setups is enhanced by the verification of the geographic location of the new device upon network attachment against the one or more known subscriber locations, or locations associated with the network subscriber that is expected or intended to be operating the new device. These locations can include a home address recorded in subscriber profile information stored by the telecommunications network, for example. If a mismatch is detected, a security alert is sent to the network subscriber’s current wireless device, enabling confirmation whether it is the network subscriber that is attempting to use and set up the new device.

This invention discloses a method and system for small target detection in sonar images with spatial-frequency dual-domain synergistic enhancement. Through end-to-end joint optimization, this invention achieves synergistic gains in preprocessing and detection tasks, significantly improving detection accuracy and robustness in complex scenes. A Retinex multi-scale attention feature decomposition network is introduced to effectively suppress seabed reverberation background and highlight small target regions. Shallow feature extraction combining grid position encoding and frequency domain position embedding is employed, giving features both position awareness and detail sensitivity. A spatial-frequency dual-domain feature fusion module is constructed, achieving complementary fusion of local texture and global structure through a difference-driven dual-domain attention mechanism, solving the technical challenge of high-frequency information of small targets being easily obscured by the background.

The invention provides an unmanned aerial vehicle communication base station screening method, system and device based on position awareness and a medium, and the method comprises the steps: positioning an unmanned aerial vehicle in real time through a GNSS, and obtaining the three-dimensional position information; according to the three-dimensional position information, candidate base stations in a current position visible range are retrieved in an airspace communication map database; scoring the candidate base stations by adopting a scoring function, and comparing the candidate base station with the highest score with the currently connected base station to screen out a target base station; and controlling the unmanned aerial vehicle to connect the base station to the target base station so as to solve the problems that the communication base station of the unmanned aerial vehicle does not maintain a communication map, a communication quality model in an airspace cannot be established according to historical measurement or geographic features, and the system lacks continuous optimization capability and adaptive capability.