863 results about "Geographic regions" patented technology

Systems and methods are disclosed for preserving patient privacy while transmitting health data from one geographic region to another geographic region for data analysis. One method includes receiving patient-specific health data including patient privacy information at a first region; removing the patient privacy information from the patient-specific health data to generate anonymous health data; storing the patient privacy information at the first region; and transmitting the anonymous health data to a second region for analysis.

An automated method of classifying irrigation status of fields within a geographical region includes identifying a plurality of field areas delineated by field boundaries within the geographical region. Seasonal normalised difference vegetation index (NDVI) time series data are processed to generate a plurality of aggregate field NDVI feature values for each identified field area. Irrigation status of each identified field area is classified by executing a decision tree classifier that is configured to determine a classification as either ‘irrigated’ or ‘non-irrigated’ based upon the corresponding plurality of aggregate field NDVI feature values.

A computing device is provided comprising a processor and a memory storing instructions executable by the processor. The instructions are executable by the processor to monitor location information for a plurality of aircraft in a geographic region. Geospatial data is received for the geographic region. The geospatial data comprises, for each of one or more physical objects in the geographic region, a virtual representation of the physical object. The instructions are further executable to determine that the location information meets a threshold difference compared to expected location information for a selected virtual representation of a physical object. An indication of an anomaly is output based at least on the determination that the location information meets the threshold difference.

Systems and methods for generating geolocation-based images for a target object are provided. A geolocation module receives a set of geolocations associated with a geographic region of interest. Each geolocation of the set of geolocations is mapped to context data associated with the geolocation. A prompt generation module generates multiple prompts based on the set of geolocations and the context data. The prompt generation module comprises a first generative artificial intelligence (AI) model. An image generation module generates multiple synthetic images based on the multiple prompts. The image generation module comprises a second generative AI model. Each synthetic image depicts the target object in a background generated based on a prompt.

Systems and methods for protecting patient privacy while transmitting health data from one geographic area to another for data analysis are disclosed. A method includes receiving, at a first region, patient-specific health data including patient privacy information; removing patient privacy information from the patient-specific health data to generate anonymous health data; storing the patient privacy information in the first area; and transmitting the anonymous health data to the second area for analysis.

Systems and methods are disclosed for preserving patient privacy while transmitting health data from one geographic region to another geographic region for data analysis. One method includes receiving patient-specific health data including patient privacy information at a first region; removing the patient privacy information from the patient-specific health data to generate anonymous health data; storing the patient privacy information at the first region; and transmitting the anonymous health data to a second region for analysis.

A system and apparatus for selectively limiting user control of a mobile electronic device are provided. In an embodiment, the apparatus may be a case sized to receive a mobile electronic device, the case having a locking means to at least partially secure an opening thereof. When engaged, the locking means may be physically impenetrable by the user of the mobile electronic device and may further be configured to engage and disengage in the presence of one or more pre-determined conditions. For example, the lock may engage when the case is detected within a certain geographical region or even during a specified time. It is contemplated that providing disclosed systems and apparatuses may reduce undesirable behavior at communal events by eliminating distractions posed by mobile electronic devices and preventing unauthorized recordings, which together may enhance overall engagement at and enjoyment of such events.

A drive unit adapted for use in farm equipment includes a first transceiver and a processing module. The processing module is configured to receive first data from the farm equipment, including sensor data and / or controller data, and integrate the received first data with additional second data indicating an agricultural prescription for a geographic region to form agricultural data. The processing module is also configured to apply one or more spatial filter constraints and temporal filter constraints to the agricultural data and then compute, from the filtered agricultural data, a difference between actual execution of one or more parameters of the agricultural prescription and expected execution of the one or more parameters. The processing module is further configured to, when the difference exceeds a predefined stored threshold, autonomously generate and transmit to a remote computing device, a settings alert to thereby trigger generation of an updated agricultural prescription.

Technical solutions include an ML based multi-model architecture to generate responses to enterprise employee queries. A processor can receive a query on a topic and identify ML models for a plurality of domains, trained using texts on a respective domain of the plurality of domains for each respective ML model and covering a plurality of topics corresponding geographic areas. The processor can select, using a first portion of the query and a classification model trained to classify the ML models according to the topics, a first ML model trained on a domain associated with the topic of the query. The processor can generate, using a second portion of the query corresponding to a geographic area of the geographic areas and the first ML model, a response to the query and provide the response.

Technologies directed to respiration monitoring based on noise channel state information (CSI) data are described. A method includes receiving CSI data representing channel properties of a wireless channel used by a first wireless device and a second wireless device located in a geographical region. The method generates a set of CSI samples by sampling the CSI data and removes one or more outlier CSI samples using a sparse outlier process, and removes a cluster of outlier samples using a cluster outlier process. The method determines Fast Fourier Transform (FFT) data for each channel subcarrier index and a signal-to-noise ratio (SNR) value for each channel subcarrier index, and identifies a first number of channel subcarrier indexes having highest SNR values to obtain a subset of FFT data, which represents a breathing spectrum. The method determines a respiratory rate of a user in the geographical region from the subset of the FFT data.

Techniques for handling vehicle privileges while changing geographical regions are disclosed. In some embodiments, a user equipment (UE) may be configured to, based on a determination that the UE is within a first geographical region associated with a first authority, receive first privilege information from a first wireless node within the first geographical region; based on a determination that the UE is within an overlapping region, operate the UE according to the first set of behavioral rules; and receive second privilege information from the second wireless node within the second geographical region, the second privilege information configured to enable the UE to operate according to a second set of behavioral rules determined by the second authority while within the second geographical region and not within the overlapping region.

A scalable expert foundry system enables creation, management, and coordination of multiple specialized expert domains, each developing autonomous cognitive capabilities through geometric manifold formation while maintaining hierarchical oversight and cross-domain knowledge transfer. The system utilizes a Persistent Cognitive Machine architecture with hierarchical supervisory networks that provide multi-layered coordination, conflict resolution, and quality management across distributed expert domains. Cross-domain coordinators orchestrate communication and knowledge sharing between domains through geometric abstraction and manifold projection techniques that preserve semantic integrity while enabling beneficial knowledge propagation. Executive manifold supervisors implement second-order control architectures managing meta-cognitive capabilities and system-wide reasoning strategies. The system supports enterprise deployment across multiple geographic regions with distributed computing resources. Expert domains achieve operational readiness through statistical observables monitoring including cache hit rates, distance distribution shifts, and trajectory coherence measurements that validate manifold maturity. The architecture enables scalable expert-level performance across diverse knowledge domains while maintaining coordination effectiveness and quality standards.

A medical equipment management system is described that includes a database including status and software information for medical equipment, a user interface configured to display at least one summary level indicator comprising a summary level status indicator for at least one group of the medical equipment, wherein the group of medical equipment corresponds to a user-defined geographic region, and a computer located remotely from the medical equipment and communicatively coupled to the user interface and the database, the computer configured to establish a communicative connection with the medical equipment, receive status updates from the medical equipment, update the status information in the database based on the status updates, receive a request to access the database, and provide the updated status information for the group of medical equipment to the user interface, wherein the summary level status indicator at the user interface is based on the updated status information.

Techniques for flight path optimization include obtaining map information defining mapping coordinates of a geographical region, obtaining historical UAV-obtained flight information related to a first autonomous flight of a UAV in the geographical region based on a first flight plan, storing the map information, the historical UAV obtained-flight information, the first flight plan, and current values of a set of external factors separate from the flight information, and generating a second flight plan for a second autonomous flight of the UAV. The generating may include processing the map information, the historical UAV-obtained flight information, and the current values of the set of external factors, and updating the first flight plan based on the processing to generate the second flight plan. The second flight plan may be transmitted to the UAV for a second autonomous flight of the UAV in the geographical region.

The invention relates to the technical field of geographic information processing, in particular to a map updating system based on cloud computing, which comprises a global offset correction module, a regional error division module, a local feature correction module, a residual error optimization fitting module and a computing resource scheduling module. According to the method, through offset calculation and hierarchical division of real-time geographic data, offset characteristics of multiple geographic areas are accurately analyzed, dynamic distribution optimization of data errors in a global range is achieved, hierarchical error division is combined with geographic boundary lines and multi-level data characteristics, difference values are accurately extracted, and area division is adjusted; the local feature correction optimizes error matching under a complex terrain by integrating a slope, a land type and a terrain parameter relationship, enhances terrain adaptability and detail precision, ensures high efficiency of large-scale data processing through nonlinear relationship fitting of residual values and optimization of a resource allocation proportion, and improves the accuracy of data processing. And meanwhile, the map updating response speed is increased.

The invention provides a grape disease and pest identification method based on an LW-YOLO network, and aims to improve small target detection precision and multi-scale feature extraction capability and reduce model calculation complexity at the same time. The method comprises the following steps: step 1, acquiring a public grape disease and insect pest data set or establishing a data set according to requirements of a specific grape variety, a specific geographic area and a special disease and insect pest variety; step 2, manually marking a category label and a bounding box of each string of grapes in each picture in the grape disease and insect pest enhancement data set; 3, configuring a model training environment; the method comprises the following steps: step 1, constructing an LW-YOLO network model, step 2, constructing an LW-YOLO model, step 5, loading the constructed LW-YOLO network model to a configured model training environment, and training and verifying the LW-YOLO network model by using a preprocessed data set; and step 6, constructing a grape disease and insect pest recognition system based on an LW-YOLO network, splitting the system into a visualization subsystem and a disease and insect pest analysis subsystem, enabling the visualization subsystem to realize a real-time video stream lightweight image interception function by using an FFmpeg library in a Javacv library, and providing pictures to the disease and insect pest analysis subsystem for disease and insect pest target detection. And finally, displaying a detection result to a front-end page.

Generating and providing a condition assessment for a habitat is described. A geographic area having one or more geographic sub-areas is received. For each geographic sub-area, image data is received, a set of features is generated using the image data, a habitat for the geographic sub-area is received, and one or more condition assessment criteria are identified based on the habitat. For each condition assessment criterion, a subset of features is determined, and a trained model is applied to the subset of features to obtain a response to the condition assessment criterion. For each geographic sub-area, a condition assessment for the habitat is generated based on one or more responses to the one or more condition assessment criteria, and the condition assessment is provided.

According to one embodiment, a method, computer system, and computer program product for dynamic image reconstruction is provided. The present invention may include training a physics-informed neural network (PINN) using received training data; receiving wind field velocity measurements in a geographical domain from one or more weather information sources and air pollutant concentration measurements of one or more air pollutants from the geographical domain using a sparse sensor network to produce a plurality of input data; processing the plurality of input data through multiple physics-informed masked convolutional layers in the trained PINN to perform a three-dimensional partial convolution process; and performing the dynamic image reconstruction on the processed plurality of input data using the trained PINN to generate a reconstructed continuous spatial map of the geographical domain.

Generating and providing a condition assessment for a habitat is described. A geographic area having one or more geographic sub-areas is received. For each geographic sub-area, image data is received, a set of features is generated using the image data, a habitat for the geographic sub-area is received, and one or more condition assessment criteria are identified based on the habitat. For each condition assessment criterion, a subset of features is determined, and a trained model is applied to the subset of features to obtain a response to the condition assessment criterion. For each geographic sub-area, a condition assessment for the habitat is generated based on one or more responses to the one or more condition assessment criteria, and the condition assessment is provided.

A system and apparatus for selectively limiting user control of a mobile electronic device are provided. In an embodiment, the apparatus may be a case sized to receive a mobile electronic device, the case having a locking means to at least partially secure an opening thereof. When engaged, the locking means may be physically impenetrable by the user of the mobile electronic device and may further be configured to engage and disengage in the presence of one or more pre-determined conditions. For example, the lock may engage when the case is detected within a certain geographical region or even during a specified time. It is contemplated that providing disclosed systems and apparatuses may reduce undesirable behavior at communal events by eliminating distractions posed by mobile electronic devices and preventing unauthorized recordings, which together may enhance overall engagement at and enjoyment of such events.

Methods, systems, and devices that support user equipment (UE) density-based codebook adjustment for reconfigurable intelligent surface (RIS)-assisted communications are described. A network entity may configure RIS codebooks based on dynamically changing UE densities, such that codebooks may be tailored for geographical regions with higher UE densities. The network entity may determine a geographical region to be served using a RIS associated with a higher UE density as compared to one or more UE densities associated with one or more other geographical regions. The network entity may indicate a codebook to a controller associated with the RIS that is associated with a set of parameters that may be based on the geographical region.

The present disclosure relates to method and system for determining an optimal location and optimal size of an electric vehicle charging station (EVCS). The method comprises: receiving, by an input unit [202], at least a name of a geographical region; receiving, by a processing unit [204], a geographical data associated with the geographical region. Then, identifying, by the processing unit [204], at least a potential charging station location and a point of interest location at least for determining, via a data fusion module, an updated geographical data associated with the geographical region. Then, determining, a demand centre associated with the geographical region based on at least one of the geographical data and the updated geographical data. Then, identifying, candidate locations associated with the demand centre and thereafter determining, using optimization techniques, the optimal location and size of the EVCS based on the candidate locations and EVCS parameters.

The invention discloses a large-scale low-orbit satellite network domain-division intelligent routing method, which belongs to the technical field of satellite communication, and comprises the following steps: constructing a network model based on multi-dimensional resource characteristics, and providing resource constraint conditions and space-time correlation characteristics for routing decision by combining with a regional flow prediction algorithm of an improved Transform architecture; virtual nodes and an autonomous domain are divided based on a geographic area, and a low-orbit satellite network routing process is decoupled into an intra-domain part and an inter-domain part; a multi-agent deep Q network is adopted in a domain, a sum tree mechanism-based deep Q network is adopted between domains, a routing algorithm and a resource scheduling algorithm are respectively designed, and a domain intelligent routing system with flexibility and expandability is constructed through hierarchical routing and resource decoupling scheduling. According to the method, the service capability of the low earth orbit satellite network in extreme scenes such as topology high-frequency change, strict resource limitation and traffic space-time mutation is remarkably enhanced, and a high-reliability and low-delay routing solution is provided for space-ground integrated communication, emergency disaster early warning and global real-time data transmission.

The invention relates to the field of smart cities, in particular to an urban landscape semantic segmentation method and system based on a large model, and the method comprises the steps: obtaining street view image data of a target geographic region; inputting the streetscape image data into a preset image semantic segmentation model, analyzing the streetscape image data through the image semantic segmentation model, and identifying various predefined environmental element categories contained in each image; calculating an urban landscape quantitative index based on the recognition result of the environmental element category; associating the calculated value of the urban landscape quantitative index to a corresponding road section or node in the road network spatial data corresponding to the target geographic area; generating a road network space visualization layer representing the value of the index value in a color grading manner based on the result after association; and according to a preset index threshold value, identifying the spatial road sections or nodes meeting the early warning conditions in the visual layer and generating prompt information. And the scientificity and comparability of an analysis result are ensured.

A geolocation module receives a set of geolocations associated with a geographic region of interest. Each geolocation of the set of geolocations is mapped to context data associated with the geolocati

The invention relates to the technical field of power dispatching optimization, and discloses a virtual power plant wide area aggregation optimization dispatching method. The method comprises the following steps: issuing a day-ahead scheduling demand through a virtual power plant scheduling platform of a power grid, preliminarily screening distributed resources related to aggregation nodes based on geographic region correlation after receiving the scheduling demand, calling an aggregation optimization service interface 1, performing further aggregation optimization according to a fed-back preliminarily screened resource list, generating an optimal distributed resource list, and sending the optimal distributed resource list to the virtual power plant scheduling platform of the power grid. And taking the scheduling demand aggregation node and the optimal distributed resource list as input, outputting a total resource amount and an effectiveness sequence table, performing economic benefit evaluation, judging whether the optimal distributed resource list needs to be adjusted, and uploading the optimal resource list planned to participate in scheduling to an upper-layer power grid virtual power plant scheduling platform. And waiting for a feedback result of security check and a scheduling clearing plan, sending a corresponding execution plan to each distributed resource response regulation and control unit according to the scheduling clearing plan, and starting execution of monitoring check.

The invention discloses an intelligent crop recommendation system based on a neural network, and the system comprises the following modules: an agricultural multi-source data acquisition module which collects and preprocesses agricultural data of different geographic regions and seasons; the cross-environment data division module is used for forming a plurality of independent environment data sets; the deep feature extraction network module is used for extracting high-dimensional semantic features; the feature invariance constraint optimization module is used for constructing a unified stable feature model meeting cross-regional cross-seasonal generalization requirements; the generalization performance verification module is used for quantitatively evaluating model generalization accuracy; the personalized crop recommendation decision module is used for generating a personalized crop recommendation list; and the recommendation result visual interaction module is used for displaying the recommendation result to the user. According to the method, the cross-environment generalization ability and the personalized recommendation accuracy of the crop recommendation system are remarkably improved.

The invention discloses a photovoltaic power generation power working condition data generation method based on an improved diffusion model. The method comprises the following steps: S1, obtaining photovoltaic power generation power working condition data, photovoltaic power station geographical environment data and photovoltaic power station geographical environment data; s2, preprocessing the photovoltaic power generation power working condition data and the photovoltaic power station geographical environment data; s3, dividing a geographic region where the photovoltaic power station is located according to the equal-proportion power generation area to obtain regional photovoltaic power generation power working condition data and regional photovoltaic power station geographic environment data, performing clustering analysis on the regional photovoltaic power generation power working condition data, and constructing prompt words according to a clustering result and the regional photovoltaic power station geographic environment data; and S4, constructing a power prediction model according to the time step, the photovoltaic power generation power working condition data, the photovoltaic power station geographical environment data and the cue words, and outputting photovoltaic power generation power working condition prediction data. The meaning of the photovoltaic working condition is understood through the text encoder, and the interactivity between people and the model is improved.

The invention relates to the technical field of mineral exploration, and discloses a method for estimating the mineralization probability of residual slope product type anatase based on multi-source parameters, and the method comprises the steps: determining a geographic region, collecting geological data, sampling a geological sample, and collecting the characteristics of the sample; extracting the first characteristic index set to judge the region classification of the geographic region, wherein the region classification comprises a conventional exploration region, a main mineralization mode region and a secondary mineralization mode region; extracting a second characteristic index set from the geological data to calculate a standard mineralization probability; calculating a weathering correction coefficient and a maturity correction coefficient; and correcting the standard mineralization probability to generate a mineralization probability, and judging whether the geographic region is a high-potential target region or not according to the mineralization probability. According to the technical scheme, the metallogenic probability judgment standard can be determined and corrected under different conditions, and judgment of a high-potential target region is achieved.

Some embodiments provide a method for dynamically deploying a managed forwarding element (MFE) in a software-defined wide-area network (SD-WAN) for a particular geographic region across which multiple SaaS applications is distributed. The method determines, based on flow patterns for multiple flows destined for the multiple SaaS applications distributed across the particular geographic region, that an additional MFE is needed for the particular geographic region. The method configures the additional MFE to deploy at a particular location in the particular geographic region for forwarding the multiple flows to the multiple SaaS applications. The method provides, to a particular set of MFEs that connect a set of branch sites to the SD-WAN, a set of forwarding rules to direct the particular set of MFEs to use the additional MFE for forwarding subsequent data messages belonging to the multiple flows to the multiple SaaS applications.