676 results about "Geographic regions" patented technology

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.

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.

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 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.

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.

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 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.

A method is provided for use in constructing solar power-generating installation of a plurality of solar carports at a real property site. An overhead digital image of the real property site is acquired and a geographic region within the real property site is identified as installation sites for the solar carports. A design layout of one or more models of a solar carport is created and includes overlaying representations of the model(s) of solar carports on the geographic region. Then, construction specifications for solar carports in the design layout is created. Also, a set of construction plans in conformance with the design layout is automatically generated. A construction method and machine for implementing the method are also provided.

A method includes determining that a user device is located within a specified geographical region and determining that the user device has an active subscription with a terrestrial network operator operating a terrestrial network within the geographical region, the terrestrial network associated with a primary profile stored on a subscriber identity module of the user device. The method also includes, in response to determining that the user device is located within the geographical region and that the user device has an active subscription with the terrestrial network operator, receiving, from the terrestrial network operator, a secondary profile attached to the active subscription and associated with a non-terrestrial communication network. The method further includes storing the secondary profile on an embedded subscriber identity module on the user device and communicating via the non-terrestrial communication network using the secondary profile.

The invention provides a network service quality monitoring and optimal scheduling method and system based on big data, and relates to the technical field of network service quality monitoring and resource scheduling, and the method comprises the steps: calculating a network service quality score through obtaining service request parameters of multiple geographic regions, predicting a network service quality trend through a federated learning model, and obtaining a network service quality prediction result. And identifying a target area needing to be scheduled, constructing a multi-level network resource topological graph, calculating an optimal resource scheduling path in combination with the attention weight of fault perception, and executing a scheduling instruction to realize cross-domain network resource dynamic scheduling. According to the method, the multi-region collaborative prediction capability is improved, the accuracy of resource path selection is enhanced, and efficient and flexible cross-domain resource scheduling is realized.

The invention belongs to the technical field of product production cycle management, and particularly relates to an electronic image-text file remote multi-bin collaborative storage method based on a PLM. Comprising the steps that a 1 + N hybrid storage architecture is constructed, one center bin is deployed in an enterprise headquarter data center and stores full document metadata and latest version files, and N area bins are deployed according to geographic areas and store cache copies and incremental update data of local high-frequency access documents; the remote multi-warehouse document increment synchronization is realized through an intelligent synchronization engine, and the intelligent synchronization engine adopts a content awareness increment synchronization algorithm and a dynamic synchronization strategy based on network quality; version management is realized through a version cooperative control module, and the version cooperative control module is used for establishing a global version number mapping mechanism and a conflict resolution decision tree; cross-warehouse process automation is realized through a cross-warehouse workflow engine, and the cross-warehouse workflow engine integrates a BPM process engine and a message queue; the method can adapt to a remote network environment, and the large file synchronization efficiency is improved.

Embodiments of the present disclosure relate to migrating data from the cloud to on-premises storage. More specifically, a processing device obtains an indication of a plurality of cloud storage resources associated with a plurality of cloud storage providers and a plurality of geographic regions. The processing device generates an on-premises file structure based on the indication of the plurality of cloud storage resources and the plurality of geographic regions. The processing device migrates the plurality of cloud storage resources to on-premises storage based on the on-premises file structure.

Techniques are disclosed relating to partitioning batch queries for multi-engine execution. A system receives a batch query specifying query data and including a request for geospatial data for regions corresponding to the query data. Based on locations corresponding to the query data, the system partitions the query data into subsets. The system may assign the subsets of query data to query engines corresponding to the locations of the subsets. The system may cause the engines to retrieve geographic region data corresponding to the locations included in the subsets, where the retrieving is performed by a given query engine for a corresponding subset by accessing an in-memory index of the given engine that stores geographic region data for a geographic partition within which the corresponding subset of query data is located. The system may store region data retrieved by the engines for the subsets in an aggregated data store.

A load frequency controller for the integration of a thermal power generator with renewable energy generators includes first and second power systems situated in separate geographic regions, interconnected through an inter-area tie-line. Each power system incorporates a 3DOF-FOPIDN controller, programmed with a salp swarm algorithm to adjust the controller gain parameters. A model predictive controller (MPC) slaved to the 3DOF-FOPIDN controller generates droop correction values then transmitted to the energy generators. The power deviations from the resources, the tie-line power deviations and a load center power deviation are combined to generate a combined power deviation signal. A frequency generator converts the combined power deviation signal to a frequency deviation value for each area. Feedback loops channel the frequency deviation value to bias factor generator in each area. An ACE signal is generated, which is utilized by the 3DOF-FOPIDN-MPC controller to modulate frequency and maintain grid stability.

The invention discloses a power grid data epitaxial access control method and system, and relates to the technical field of cross-region and cross-domain sharing of power grid data. According to the main technical scheme, a static label is adopted to provide constraint access control for a data calling party, and a dynamic label is adopted to provide propagation access control for a next data calling party, so that when a plurality of iterative data calling parties exist, the data calling parties are subjected to data calling; according to the invention, the static label associated with the target power grid data and the continuously updated dynamic label are utilized to realize propagation monitoring of the target power grid data in cross-geographic areas and / or cross-business fields, so that an effective power grid data epitaxial access control solution is provided.

A communication system for inventory management via wireless monitoring comprises radio frequency identification (RFID) tags configured to operate in a frequency band that is unlicensed in a first geographic region and is licensed in a second geographic region. The communication system also comprises a RFID reader designed according to operational parameters of the first geographic region. The RFID reader is configured to read, in the second geographic region, data from the RFID tags via radio frequency (RF) signal transmissions in the frequency band at a power level that exceeds the operational parameters of the first geographic region. The RFID reader comprises a RF circuit, an antenna, and a controller. The controller is configured to program the RF circuit with second operational parameters, which cause the RFID reader to operate outside of requirements for operation in the unlicensed frequency spectrum in the first geographic region as defined by the operational parameters.

A radar performance analysis calculator system is provided. The system includes a server computer device including at least one processor in communication with at least one memory device. The at least one processor is programmed to receive information about a radar device to be analyzed, retrieve a plurality of parameters associated with the received information, receive a geographic location for the radar device, retrieve geographic data about a geographic region associated with the geographic location for the radar device, and compute one or more measures of performance for the radar device based on the plurality of parameters and the geographic data.

The invention relates to the technical field of remote sensing intelligent interpretation, in particular to a multi-modal remote sensing change detection method and system based on multi-granularity alignment and frequency adaptive fusion, and the method comprises the steps: obtaining optical remote sensing images and SAR remote sensing images of the same geographic region and different time phases, and constructing a multi-modal image data pair; respectively extracting multi-scale features of the optical remote sensing image and the SAR remote sensing image by adopting non-weight sharing double encoders; a multi-modal feature alignment module is used for carrying out feature distribution alignment on multi-scale optical features and SAR features on different spatial scales through KL divergence constraint, in the alignment process, a change area is eliminated through a binary change mask, and alignment constraint is only carried out on an unchanged area; constructing a unified cross-modal embedding space by comparing and learning related semantic alignment modules; and designing a modal coupling attention mechanism, and performing frequency adaptive fusion on the multi-modal features in a frequency domain. According to the method, accurate cross-modal alignment and complementary feature fusion are realized, and the accuracy and reliability of change detection are remarkably improved.

A trajectory-based object search process includes receiving a user request specifying a geographic region of interest and / or a time period of interest. A set of video-derived object trajectories is identified based on the user request. At least one event is identified based on the set of video-derived object trajectories, by processing each video-derived object trajectory individually or by aggregating video-derived object trajectories, from the set of video-derived object trajectories, that overlap with respect to at least one feature. For each event, a preview image is selected that includes a thumbnail image and / or a video frame, based on the user request and using a ranking algorithm, and event metadata associated with the preview image is received. Also for each event, a video segment associated with that event is received, and the preview image and / or the video segment is caused to be displayed to a user associated with the user request.

The invention provides a central control system electronic fence synchronization method based on P2P, and relates to the technical field of shared vehicle management, and the method comprises the following steps: carrying out the block storage of electronic fence data according to a geographic region; the method comprises the following steps: presetting an identifier of a region to which equipment belongs when the equipment leaves a factory, and acquiring a full-quantity data packet of a corresponding region from a central server when the equipment is networked for the first time; each device locally maintains a dynamic version information table and records the data version state of the current area; the P2P communication technology is adopted to realize ad hoc network data propagation between devices, the dependence on a central server is remarkably reduced, the system can still keep timely updating of electronic fence data even under the condition that the network is unstable or is completely offline, the stability and reliability of the shared vehicle management system are effectively improved, and the service life of the shared vehicle management system is prolonged. And a regional block storage and incremental updating mechanism is adopted, and the equipment only synchronizes an electronic fence data change part in a region to which the equipment belongs, so that redundant data transmission is avoided.

A method, apparatus, and computer program product are provided for establishing and applying a second level of anonymization of trajectories to improve privacy. Methods may include: receiving anonymized mobility data for a geographic region subdivided into a plurality of map tiles, where the mobility data includes a plurality of probe data points anonymized with a first anonymization level, where sequences of probe data points define trajectories; determining, based on the anonymized mobility data, one or more map tiles of the plurality of map tiles where anonymization of trajectories using the first anonymization level fails to satisfy a predefined anonymity parameter value; removing a subset of the anonymized mobility data corresponding to the one or more map tiles; and publishing the anonymized mobility data without the subset of the mobility data corresponding to the one or more map tiles for use with one or more location-based services.

A method for transmitting a message by ambient scattering. The method is implemented by a transmitting device in response to the transmitting device changing from a first state in which the transmitting device is deprived from illumination to a second state in which the transmitting device is illuminated by at least one light source. The method includes: obtaining an amount of electrical energy stored from light energy; comparing the amount of electrical energy stored with a given threshold, the threshold representing an electrical energy quantity sufficient to allow transmission of a message by ambient scattering; and in response to the threshold being overrun, transmitting a message called “information message”, representative of the threshold overrun, the transmission being implemented by using the stored electrical energy.