73 results about "Mobile context" patented technology

A modular system designed for privacy-preserving content recognition and supplemental content delivery across web and mobile environments. The system employs lightweight character sampling and vision-based recognition to generate unique content fingerprints without storing or replicating original data. It features a hybrid processing architecture, using local computing resources for intensive tasks while optimizing performance on resource-constrained devices. Core functionalities include multi-method content fingerprinting, real-time monitoring with adaptive sampling, and secure supplemental content association. Operating entirely on the client-side, it complies with website terms of service and privacy regulations. Advanced features include AI-driven content recognition, blockchain-based verification, and granular content targeting through resizable selection interfaces. This technology enables seamless delivery of supplemental content while preserving privacy, reducing resource usage, and ensuring scalability across browsers, mobile applications, and edge devices. It is particularly applicable in industries such as education, retail, and secure data sharing.

The invention discloses a communication and inductance integration method for a communication waveform in a high mobile environment. The method comprises the following steps: constructing a UAV-ISAC system based on AFDM; constructing a model of a communication signal sent by the UAV to the base station and a model of an echo signal received by the UAV and perceived by a ground user; determining the signal-to-noise ratio of each time slot communication part link and the signal-to-noise ratio of a sensing part echo based on a communication signal model and an echo signal model, thereby determining the capacity of each time slot communication link and the sensing mutual information amount of each user, and determining the total sensing mutual information amount, the total communication capacity of the UAV in the whole flight time, and the total consumed energy; constructing a total optimization problem by using the total communication capacity and the total consumed energy, and decomposing the optimization problem into three sub-problems of user scheduling optimization, transmitting power optimization and UAV trajectory optimization; and by constructing different constraint conditions and solving the three sub-problems, an optimization result is obtained. According to the invention, the energy efficiency of the UAV-ISAC system based on AFDM can be maximized.

The invention discloses a tracking motion analysis method and system based on a four-wheel drive wheel type ROS platform, and the method comprises the steps: obtaining an RGB image and depth information, carrying out the preprocessing, extracting two-dimensional coordinates of a joint key point, and mapping the two-dimensional coordinates into three-dimensional coordinates; calculating to obtain a target center point coordinate; the rotation angle and the movement distance are converted into movement instruction signals; constructing a skeleton edge set, extracting spatial features and dynamic features through calculation, and integrating the spatial features and the dynamic features to obtain a fusion feature vector; inputting the fusion feature vector into a preset action evaluation model, and outputting an evaluation result; and generating personalized action correction feedback according to an evaluation result. According to the method, target tracking, motion capture, dynamic evaluation and personalized feedback generation can be realized in a mobile environment, so that the scientificity, the real-time performance and the intelligent level of training are remarkably improved.

A mobile environmental sensor system includes a first mobile environmental sensor, a controller, and a network transmitter disposed on a transport unit. The controller is in electronic communication with the first mobile environmental sensor and the network transmitter. The controller includes a processor and a memory. The processor is configured to trigger a measurement from the first mobile environmental sensor. A sensed value is received from the first mobile environmental sensor. The processor compares the sensed value as received from the first mobile environmental sensor to a reference sensed value received by the controller via the network transmitter. The processor calibrates the first mobile environmental sensor based on the comparison of the sensed value as received and the reference sensed value as received. The calibration includes a normalization between the sensed value as received and the reference sensed value as received. The normalization includes a time dependent component.

A system and method are disclosed for touchless, gesture-based form validation using real-time input from a standard camera. Spatial hand gestures are interpreted as mouse-like actions—such as drag, click, scroll, and hold—to complete form tasks without physical input. The system includes a vision-based input module, an AI-powered gesture recognition engine using landmark extraction, an interaction handler that maps gestures to DOM-compliant events, and a validation controller that confirms field focus, checkbox toggling, and submission. A visual feedback renderer provides real-time cues indicating gesture success, failure, or activity. Navigation buttons enable directional control and element repositioning. The method supports secure CAPTCHA-style workflows via randomized tasks and gesture thresholds, executing natively in browsers using WebAssembly or TensorFlow.js. Applications include bot prevention, accessible interaction, and secure, device-free input for web and mobile environments.

The invention discloses a vehicle-mounted micrometeorological monitoring and camping site disaster early warning system and method, and belongs to the technical field of vehicle-mounted meteorological monitoring, and the system comprises a data collection and preprocessing module which is used for obtaining and calibrating multi-source meteorological and geographic data; the microclimate modeling module is used for generating a microclimate grid with a real-time weather predicted value by taking local microclimate data as a benchmark and fusing cloud and geographic data; the disaster risk assessment module performs quantitative risk assessment on camping disasters such as flood, tree smashing, landslide and thunderstorm based on the data of the microclimate grid; and the early warning generation module generates visual early warning information including a disaster icon, a risk level, time information and a risk avoiding instruction according to the quantitative risk assessment result. According to the invention, by optimizing the layout of the sensors and introducing a terrain correction interpolation algorithm and scene disaster assessment, the meteorological monitoring precision in a mobile environment is improved, and timely early warning of camping field micro-scale disasters is realized.

An antenna control device (10) according to the present invention includes: a mobile environment characteristic measurement unit (11) that measures a displacement amount in a three-dimensional direction of a first communication device (1) on which a first antenna (3) is mounted; a storage unit (14) that stores antenna characteristics of the first antenna (3); and a determination unit (12) that determines whether or not a gain of the first antenna (3) is equal to or greater than a threshold when the first communication device (1) communicates with a second communication device (2), and in a case where the gain of the first antenna (3) is less than the threshold value, receives as input the antenna characteristics of the first antenna (3) and the displacement amount in the three-dimensional direction of the first communication device (1) to determine orientations of the first antenna (3) and a second antenna (4) that is mounted on the second communication device (2) so that the gain of the first antenna (1) is equal to or greater than the threshold; and a first antenna orientation change unit (13) that receives a determination result from the determination unit (12) and changes the orientation of the first antenna (3).

To provide a highly versatile movement management system and movement management method that can flexibly adapt to an environment change in a range where a mobile body moves.SOLUTION: A movement environment management device (70) includes: a storage unit (74) that stores environment marker data (74b) in which identification information of a marker (40) provided in a movement range of a mobile body (10), which operates autonomously, and control required in accordance with surrounding environment of the marker are associated with each other; and a control unit (71) that receives the identification information of the marker from the mobile body, specifies corresponding control with reference to the environment marker data, and transmits information related to the control specified for the mobile body.SELECTED DRAWING: Figure 1

The present invention relates to a personal awareness system that provides users physical health / wellness / welfare safety as well as online digital safety by blocking inappropriate digital content. The personal awareness system comprises a network protection appliance for use on a local area network (LAN), a software application that is used on a mobile computing device, a cloud-based remote data processing resource to administer the system, artificial intelligence (AI) information systems, and a monitor computing device that an observer can use to monitor, track, and receive alerts related to the user. The system can support many users individually as well as groups of users. In operation, sensors associated with the mobile computing device monitor the health, wellness, and location of users and digital filter rules suppress inappropriate digital content from user access providing digital safety. The mobile computing device seamlessly transitions between LAN environments and wireless mobile environments.

Techniques for equipping mobile devices with two different types of wireless communication devices, one of which is part of a mesh network that can serve as a backup path for transmitting data to the internet. The mobile devices, such as mobile carts, can dynamically switch to the mesh network if Wi-Fi connectivity fails or becomes weak. This dual-network approach improves data transmission reliability, reduces dependence on a single network type, and ensures continuous operation, which can be important in certain environments, such as healthcare settings.

The application discloses an anti-characteristic-unstable Tor App traffic analysis method and system, first extracts basic characteristics and bidirectional statistics of traffic generated by a mobile phone App running on Tor as a candidate characteristic set, then selects a subset from the candidate characteristic set as the representation of the traffic, filters out the traffic of N specific application types by solving an application type combination optimization problem, selects N characteristic subsets from the candidate characteristic set, and iteratively selects a machine learning model and a characteristic set suitable for the specific application type by solving an optimal combination problem, so that the Tor App can be accurately identified. The application solves the problem of characteristic instability in Tor App traffic analysis caused by the instability of the mobile environment, the diversity of app work content and the increasing number of new apps running on Tor.

This invention provides an information processing device, an information processing method, and an information processing program that can provide a diverse virtual space participation-based mobility environment that takes into account the prediction of human behavior in relationships with others, i.e., interactions. [Solution] The information processing device comprises a measurement unit that measures the movement simulations of multiple users in real space and reflects the measured movement simulation results in a virtual space; a storage unit that stores the movement status of multiple users; a model generation unit that generates simulation model data based on the movement status and stored data; and a simulation execution unit that executes a simulation based on the model data reflected in the virtual space when multiple users participate in the virtual space using different means of transportation.

Techniques for equipping mobile equipment with two different types of wireless communication devices, one of which is part of a mesh network that may serve as a backup pathway to route data to the internet. The mobile equipment, e.g., mobile carts, may dynamically switch to a mesh network when Wi-Fi connectivity fails or is weak. This dual-network approach enhances the reliability of data transmission, reduces the dependency on a single type of network, and ensures continuous operation, which may be important in certain environments, such as in a healthcare setting.

The invention discloses an autonomous mobile environment adjusting system and method based on layered multi-mode perception and dynamic comfort field coupling. The system adopts a unique layered architecture combining'global perception of a fixed layer 'and'precise perception of a follow-up layer', and the contradiction between global monitoring and local concentration of the service robot is solved. By fusing multi-modal data, the system initiatively generates a'dynamic comfort field 'for guiding actions, and decoupling precise movement and air supply control are achieved. The system can also intelligently cooperate with equipment such as an air conditioner, and the overall energy efficiency is optimized. According to the invention, the design of multi-stage active safety protection and privacy protection is integrated, and a complete, intelligent and reliable solution is provided for indoor personalized comfortable environment adjustment.

To provide a moving body capable of stably guiding a user even in a traveling environment having a step, and a control method of the moving body.SOLUTION: The moving body 100 includes a drive wheel 21 that comes into contact with a floor surface F, a drive motor capable of rotating the drive wheel 21 around a first rotation axis O1 as a rotation center, a main body part 10 supported by the drive wheel 21 and moving with respect to the floor surface F when the drive wheel 21 rotates around a second rotation axis O2 as a rotation center, a passive wheel 31 that comes into contact with the floor surface F and is provided on a front side F R in a traveling direction D of the main body part 10 to support the main body part 10, and a handle 40 that can be gripped by a user, a notification unit 44 capable of notifying the user of predetermined information, and a control unit capable of controlling the notification unit 44 and the drive motor based on a detection result of contact between the passive wheel 31 and the step S of the floor surface F.SELECTED DRAWING: Figure 4

The invention provides an Internet of Vehicles edge computing task on-demand unloading and priority decision-making method based on a double-depth Q network, and belongs to the field of Internet of Things edge computing. Comprising the steps that a user vehicle generates a calculation task, a communication and calculation module is constructed, an element extraction module is constructed, an unloading decision module is constructed, a priority evaluation module is constructed, and a task processing result is returned. According to the invention, edge computing and reinforcement learning are combined to enable a vehicle to cooperate with a roadside service unit to efficiently process a complex computing task in a mobile environment, so that the problem that a vehicle terminal cannot independently process a computing sensitive task in time due to limited computing resources is solved; according to the method, the vehicle calculation capability and the road side service unit calculation capability are dynamically coordinated in a vehicle edge calculation mode, and through an improved reinforcement learning method, the method can adapt to mobile scene task processing requirements through multiple iterative training.

This invention discloses a method for link adaptation in retransmission systems and mobile environments. The method includes: constructing and initializing a reinforcement learning neural network; acquiring information, including current user feedback on channel conditions and HARQ process information; monitoring whether the channel environment has switched; constructing an observation state vector based on the information; inputting the observation state vector into the reinforcement learning neural network and outputting the MCS corresponding to the current HARQ process; transmitting data packets containing the MCS to the user and receiving user feedback; determining whether the current HARQ process has ended based on the feedback information; if so, calculating the retransmission throughput reward of the current HARQ process, aligning and integrating the state, action, and reward, storing it in an experience pool, and then proceeding to subsequent steps; training the reinforcement learning neural network based on gradient descent using several empirical data points. This invention solves the problem that traditional algorithms cannot adapt to actual 5G networks and complex, ever-changing environments.

According to the LED screen device with the modularized unit screen grids and the wireless hard connection, an LED display screen with modularized and standardized design is achieved, hard connection and automatic locking between the display unit screen grids, one-key quick disassembly and arbitrary expansion between the display unit screen grids are achieved, leveling and wire connection are not needed, and the LED screen device is convenient to use and easy to popularize. When one display unit screen grid is added, only the display unit screen grid needs to be inserted for use, other operations are not needed, when one display unit screen grid is reduced, only one display unit screen grid needs to be pulled out, and the use of other display unit screen grids is not influenced. No matter how large the screen is, the screen can be quickly disassembled into unit modules, so that the screen is convenient to move and transport. Professionals are not needed during assembly, engineering products are household appliances and'fool ', a user can easily and quickly complete installation, use, maintenance and updating, infinite extension, random combination, random increase and decrease, flexible use and random switching of fixed installation and moving environments of the products, the user can freely extend the screen size, and wiring is not needed in the installation process.

This invention belongs to the field of communication technology, specifically relating to an MMSE iterative equalization method for OTSM systems in high-speed mobile environments. The method includes: constructing an OTSM system model, which includes a transmitter, a time-domain channel, and a receiver; processing the data output from the time-domain channel using a block-time-frequency single-tap equalizer to obtain a time-delay-time-domain information symbol prediction value; using the time-delay-time-domain information symbol prediction value as the initial estimate for the GS algorithm after decision-making for iterative detection; calculating the mean and variance based on the time-delay-time-domain information symbol estimates obtained from multiple iterations; using the mean and variance as the initial estimate for the MP algorithm for iterative detection, and outputting a decision on the transmitted symbols from the transmitter to the receiver via the time-domain channel. This invention can effectively eliminate residual symbol interference, thereby significantly improving the system's reliability and transmission quality.

This utility model discloses a chain-driven, segmented, movable, and environmentally adaptable mushroom rack, comprising: a main body, the main body including at least three segmented modules, adjacent segmented modules being connected by detachable connectors, each segmented module having multiple vertically arranged culture plates inside, and the surface of the culture plates having a fungal culture trough; a support frame, two support frames, with a chain drive mechanism between the two support frames for driving the segmented modules to move; the chain drive mechanism includes a vertically downward mounting plate located in the center of the support frame, with an active sprocket on the mounting plate; the main body of this utility model includes at least three segmented modules, and through segmented modular design, the spacing between the segmented modules can be adjusted according to the growth cycle, improving space utilization; and through the provided chain drive mechanism, multiple segmented modules can be moved synchronously, facilitating adjustment.

The invention discloses a multi-station switching method of an environment simulation and vibration comprehensive test system. The method comprises the following steps: S1, decoupling an environment simulation box and a currently butted station interface; if the current environment simulation box is a waiting station, directly performing S2; s2, moving the environment simulation box, and adjusting the posture of the vibration table to adapt to the target station; s3, the environment simulation box is moved to a target station, and a target interface of the environment simulation box is coupled with the vibration table in the target posture, so that switching from the current station to the target station is completed; wherein the target station and the current station are different stations in a blind plate station, a vertical station and a horizontal station. According to the invention, the beneficial effects of one machine with multiple purposes, high utilization rate, rapid and convenient switching and the like can be realized, reliable connection and good sealing can still be ensured under harsh working conditions, the modular design is convenient to maintain, and the test flexibility and the comprehensive efficiency of equipment are remarkably improved.

The utility model relates to the technical field of compressors, and discloses a modularized centrifugal vapor compressor which comprises a compressor body and a base installed at the bottom of the compressor body, supporting ring frames are installed at the front end and the rear end of the two sides of the base respectively, and T-shaped rod pieces are arranged in the middles of the supporting ring frames in a sleeved mode through bearings. A plurality of restraining rods are sleeved with one end of the T-shaped rod piece in the circumferential direction of the structure of the T-shaped rod piece at equal intervals. The supporting ring frame, the T-shaped rod piece, the restraining rods, the linkage plate and the walking wheels are arranged to be assembled into the modularized moving structures, and in the subsequent process that the four modularized moving structures are combined with the compressor body and the base for use, the requirement for convenient moving and using of the compressor body and base assembly in the moving environment can be met; and an assembly formed by the linkage plate and the walking wheels can be stored for use or expanded for moving for use under the rotary adjustment of the corresponding T-shaped rod pieces and the multiple restraining rods and the auxiliary supporting of the supporting ring frame, and the problems existing in the prior art are fully solved.

The invention belongs to the field of wireless communication, and discloses a domain sensing MPR election method based on multi-dimensional identification, which comprises the following steps: step 1, in an NID domain, a node broadcasts and receives a HELLO message to discover neighbor nodes in the same domain, step 2, electing a part of the neighbor nodes in the same domain as an MS node set of MPR node election, step 3, after one node is elected as an MPR node by a neighbor node, identifying and electing the own neighbor node through the received HELLO message, and maintaining an MS node set; step 4, packaging link information between the MPR node and each node in the MS node set into TC information; and step 5, flooding the TC message to the whole NID domain where the TC message is located. According to the invention, invalid redundant nodes are eliminated, the success rate of data transmission can be improved, each selected MPR node is ensured to have stable connection in a high mobility environment, and the network efficiency is improved.

The invention relates to the field of Internet of Things technology and commercial data processing, and discloses an Internet of Things-based vehicle periphery commodity recommendation method, which comprises the following steps of: obtaining a future trajectory of a vehicle containing time arrival probability distribution and supply information of a merchant, and calculating an expected probability of time-space encounter of the future trajectory and the merchant to generate an expected encounter event, according to the method, a bidirectional information guiding mode based on future event prediction is established, so that an instant query structure which is only initiated by a single party after a demand is generated is changed; in order to deal with the supply and demand mismatching problem in the mobile environment, a dynamic robustness maintenance mechanism contained in the method maintains the continuity and reliability of the service when the vehicle driving path is uncertain.

The application belongs to the technical field of communication and particularly relates to a symbol detection method of an OTSM system in a high-speed mobile environment; the method comprises the following steps: after receiving a time domain vector, each time domain block is hierarchically optimized to obtain a symbol vector of each time domain block; each symbol vector of each time domain block is judged and then taken as an initial value of an improved GS algorithm to perform iterative detection, so as to obtain an estimated value of each symbol vector of each time domain block; the estimated value of each symbol vector of each time domain block is matrixed to obtain a time delay-time domain information symbol; and the time delay-time domain information symbol is subjected to Walsh-Hadamard transformation to obtain an estimated value of a time delay-sequence domain information symbol; the application reduces the amount of calculation and improves the processing efficiency of the system in high-dimensional data, avoids the problems of slow convergence and oscillation possibly caused by a fixed step length, and improves the system stability.

The present disclosure relates to a mobile state electrode screening method, device, equipment and computer readable storage medium. Relates to the field of computer technology, including through the band-pass filter to the target electroencephalogram signal is accurate division get multiple preset frequency band, and combined with the relative power calculation realizes feature normalization, overcomes the defect that the traditional method is not enough to protect the subtle electroencephalogram feature. Secondly, based on the relative power data statistics index of normal user and abnormal user is calculated, and the variation coefficient double verification mechanism is introduced, when the statistical index is less than the first threshold value and the variation coefficient is less than the second threshold value, the target electrode is confirmed, this kind of comprehensive screening standard based on statistical significance and feature stability ensures that the electrode has both discriminant ability and robustness. Through this targeted screening mechanism, the electrode redundancy is significantly reduced, which can focus on the electrodes that are really effective for brain injury classification, so as to realize high-precision classification in mobile environment and optimize the calculation efficiency.

The invention discloses a pledge real-time monitoring management method and system based on the Internet of Things. The method comprises the steps that an Internet of Things terminal collects multi-dimensional data of the position, the environment and the equipment state of a pledge and transmits the multi-dimensional data to an edge node; the edge node filters invalid data; dividing transmission themes according to data types, and uniformly distributing data to a core computing layer through load balancing; the streaming computing cluster fragments data according to terminal IDs, and a plurality of computing nodes process multi-dimensional data operation of all terminals in parallel; based on a fixed rule, carrying out abnormal matching on a calculation result, and judging illegal movement, environment exceeding and equipment fault conditions; standardized early warning information is generated and pushed to a terminal and a platform in real time through multiple channels, and an early warning closed loop is completed. According to the invention, the computing power bottleneck of a centralized architecture is broken through, resources occupied by invalid data and bandwidth congestion are reduced, and real-time judgment and early warning pushing of multi-dimensional abnormity of pledges are realized.

The invention provides a three-dimensional plant factory single-plant crop intelligent inspection robot system, device and method based on a three-dimensional vision sliding rail. Comprising a three-dimensional sliding rail inspection robot, the three-dimensional sliding rail inspection robot comprises a platform module and a movement driving module, the platform module is connected with the movement driving module, and the movement driving module can drive the platform module to achieve three-dimensional movement; the environment microclimate monitoring terminal is installed on the platform module and used for collecting environment parameters influencing crop growth; the camera is installed on the platform module and used for shooting crop growth images and two-dimensional codes; the main control module is electrically connected with the three-dimensional sliding rail inspection robot, the environment microclimate monitoring terminal and the camera, and the main control module is used for controlling the moving path of the three-dimensional sliding rail inspection robot and receiving and processing data collected by the environment microclimate monitoring terminal and the camera; through the three-dimensional vision sliding rail technology, precise movement and automatic homing of the inspection robot are achieved, and precise monitoring of a single plant is ensured.

An autonomous travel route planning method includes creating a global map including obstacle information indicating an obstacle existing in a movement environment, setting an outer peripheral boundary corresponding to an outer periphery of a travel area by associating the outer peripheral boundary with the global map, creating a route creation map in which the obstacle information existing inside the outer peripheral boundary is deleted, and creating the filling travel route to fill in the travel area included in the route creation map.