29 results about "Situated computing" patented technology

A countermeasure device can include an antenna, signal disruption components, a display, and a computing device. The computing device can determine that an unidentified aerial vehicle (UAV) is within a particular airspace. The computing device can determine a location corresponding to the countermeasure device. The computing device can determine a range of a particular attack signal. The computing device can monitor a distance between the location of the countermeasure device and a location of the UAV. The computing device can render positional information comprising the distance on the display. The computing device can generate the particular attack signal in response to the distance being less than the range of the particular attack signal.

The application discloses a substrate edge-finding positioning method and device, a storage medium and a program product, relates to the technical field of positioning, and the substrate edge-finding positioning method comprises the following steps: acquiring a real-time trigger signal fed back by an edge-finding photoelectric sensor during movement of a robot to a target substrate, and determining a real-time substrate position according to the real-time trigger signal; since an edge-finding reference position has been determined in advance in a teaching stage, and a preset edge-finding compensation value is determined in advance based on a taught substrate placing position and the taught edge-finding reference position; in actual operation, the position deviation of the target substrate in the X-axis and Y-axis directions is calculated according to the real-time substrate position and the taught edge-finding reference position; the target placing coordinate is determined according to the position deviation and the preset edge-finding compensation value; the robot is driven to move the target substrate to the target placing coordinate, a substrate placing action is performed, and substrate edge-finding positioning is completed, so that the technical problem of low accuracy of substrate edge-finding positioning can be solved.

This invention discloses a multi-energy collaborative optimization scheduling method for photovoltaic-storage-charging microgrids, relating to the field of power dispatching and control technology. The method includes: collecting data from photovoltaic branches, fast-charging guns, energy storage, grid connection points, and base load; calculating cloud shadow sweep consistency based on the photovoltaic branch output power decline process and physical arrangement position to obtain the cloud shadow derating wave intensity; obtaining the fast-charging energy absorption wave intensity based on the real-time charging power, requested charging power, and power rise process of the fast-charging guns; calculating the short-term net load surge power based on the cloud shadow derating wave intensity and the fast-charging energy absorption wave intensity, and incorporating it into collaborative shock resistance constraints. An optimization model is constructed by combining the microgrid power balance relationship to solve for the energy storage power, grid-connected power, photovoltaic utilization power, and fast-charging gun scheduling power, achieving rolling scheduling. This invention can reduce the risks of insufficient energy storage compensation, sudden increases in grid-connected power, and fast-charging power decline.

The present application relates to the technical field of image data processing, and particularly relates to a machine vision guided industrial robot flexible assembly system. The existing pure vision classifier is prone to misjudgment in the mixed scene of similar appearance workpieces, leading to the error of loading CAD model and calculating pseudo-true pose, and causing the risk of collision in grabbing. Therefore, the present application firstly acquires a global image and outputs the initial class confidence of the device instance and the device boundary position information; based on the bill of materials ratio, the number of each type is estimated and the spatial reference position is determined, and the first shape parameter representing the local scattering degree is calculated; then, combined with the consistency of the distance between each device and the reference position and the second shape parameter of the neighborhood and the first shape parameter, the confidence is corrected and the target class is divided; finally, the corresponding three-dimensional model is loaded to calculate the pose and guide the assembly. The present application can clearly classify similar workpieces in the mixed scene, thereby providing reliable pose guidance basis for industrial robots.

The present disclosure relates to a convolution operator execution method, device and computer readable storage medium. The method comprises: dividing a convolution task into a plurality of subtasks of the same size according to the output tensor space dimension; pre-allocating a fixed-size padding buffer for each output block; calculating the global start coordinates of the effective input data block to be loaded from the input tensor and its insertion offset in the padding buffer according to the output block position; loading the effective input data block according to the global start coordinates and inserting it into the specified position in the padding buffer according to the insertion offset, and keeping the uncovered area in the buffer as padding values; performing matrix multiplication operation on the padded buffer and the convolution kernel data using a matrix calculation unit to obtain the output block convolution calculation result; and finally obtaining the output tensor by calculating all output blocks.

[Problem] To provide technology for assisting in making better use of personnel by utilizing the results of personality tests on other personnel. [Solution] An information processing device 1 is capable of performing personality estimation in various models using answer results from a questionnaire, image data obtained by imaging the face, image data obtained by imaging the upper body or the entire body, and genome analysis results as personal information for personality estimation. Regarding the personality of an arbitrary person among target people for whom the personality estimation was performed, a distribution identification unit 1C and a position calculation unit 1D postulate target people belonging to a group of target people which is postulated for said arbitrary person, for example an organization or a divided unit within an organization (e.g. a department), and calculate a relative position. Thereby, the personality of the arbitrary person can be understood as a relative position within the postulated group.

The invention relates to an accelerator pedal assembly (1) for a vehicle (2), the accelerator pedal assembly (1) having -- an accelerator pedal (3) which can be moved between a first position (P1) and a second position (P2); -- a position sensor (4) for detecting a position of the accelerator pedal (3); -- a computing unit (5) for processing signals from the position sensor (4); the computing unit (5) having a printed circuit board (6), a moisture sensor (7) for detecting moisture, in particular in the computing unit (5), being formed on the printed circuit board (6).

The application relates to a low-orbit satellite-based Internet of Things terminal random access method, which comprises the following steps: S1. acquiring a downlink synchronization signal and a system information block periodically broadcast by a target low-orbit satellite; S2. calculating a theoretical Doppler frequency offset value between a terminal and a satellite according to satellite ephemeris information and a terminal self-position; S3. selecting a target compensation value closest to the theoretical Doppler frequency offset value from the Doppler pre-compensation parameter group; S4. generating an access time slot selection seed by using a pre-defined hash function according to a current beam coverage area identifier; S5. non-uniformly selecting a target access time slot within a random access time window based on the access time slot selection seed; and S6. pre-compensating a preset random access preamble sequence in an uplink frequency by using the target compensation value in the target access time slot, and sending the compensated preamble sequence to the target low-orbit satellite to initiate random access.

The application discloses a kind of physical isolation file safety exchange systems and methods based on mechanical arm, the system includes: PLC controller is used to receive the instruction issued by host computer, and according to instruction control mechanical arm completes the safe exchange between U disk and optical disk in low density network system, high density network system, U disk disinfection system and optical disk destruction system, control laser range finder reads the height and position of blank optical disk, calculates the current quantity of blank optical disk;User uploads the file that needs to be imported to high density website to low density website through low density network user terminal, and downloads the file exported from high density network from low density website through low density network user terminal;User uploads the file that needs to be exported to low density website to high density website through high density network user terminal, and downloads the file that needs to be exported to low density network from high density website through high density network user terminal.The application improves the security of file transmission, prevents data leakage and virus propagation.

The application discloses a soft wire assembly positioning method based on a 2D surface haptic twin network, which is used for the assembly of a mobile phone soft wire, and the data of a haptic dot matrix is obtained by pressing a haptic sensor at an ideal buckling position, the haptic data information is taken as standard data information, and the haptic dot matrix data around the ideal buckling position is recorded; the correct haptic data information and the incorrect haptic data information are both converted into images, and the soft wire position calculation is regarded as an image registration problem between the correct haptic image and the incorrect haptic image; meanwhile, a deep twin neural network is provided, which extracts features of the haptic image and then calculates the ideal buckling position of the soft wire by using a regression network; the method can improve the assembly efficiency and buckling success rate in the assembly task of the mobile phone soft wire. The application can also be used in the assembly application when vision is blocked. The application can also be applied to other fields of robot precision assembly.

The application provides a kind of spaceborne super high speed image intelligent processing method and device, including: high speed data interface unit, intelligent image processing unit, main control unit;The high speed data interface unit is connected respectively external data input unit, intelligent image processing unit and main control unit.This application keeps original data on front end FPGA, GPU module is only used as the position calculation of slice, avoids the repeated transmission of internal mass data, so as to cause the pressure of transmission bandwidth.

This invention discloses an intelligent e-commerce warehouse goods management system, belonging to the field of intelligent warehousing and logistics management technology. The system adopts a multi-source heterogeneous data fusion architecture, including core components such as an RFID tag module, RFID reader / writer, visual recognition module, and data fusion processing module. The data fusion processing module employs spatiotemporal alignment units, adaptive Kalman filtering algorithms, and hybrid positioning algorithms to achieve high-precision fusion of RFID data and visual data. The method includes steps such as system initialization, goods entry identification, data preprocessing, spatiotemporal alignment, data fusion, location calculation, data storage, real-time tracking, outbound verification, and report generation. Through fusion algorithms and architecture design, this invention achieves high-precision positioning, millisecond-level real-time response, and system availability, significantly outperforming existing technologies and providing a new technical solution for intelligent warehousing.

The application relates to the technical field of posture detection, and discloses a human motion posture detection method and system. The application performs spherical projection and multi-view block splitting on a panoramic RGB video stream, and outputs space-time features. A first detection network is combined with multi-view block to output spherical coordinates and confidence of a joint. A second detection network outputs spherical coordinates and a feature vector of a root node, and combines screened block features to complete depth regression and three-dimensional position calculation. The three-dimensional position of the root node is taken as a reference, the spherical coordinates of the joint, a preset bone length and bone topological constraints are combined to perform inverse kinematics calculation, and an initial three-dimensional position of the joint is obtained. Low-confidence joints are introduced into a time sequence prediction network, the position sequence of historical high-confidence joints is combined to complete position correction, and then the position is verified through bone topological constraint checking and time sequence smoothing processing. Finally, the output motion posture is improved in terms of spatial rationality and time sequence continuity.

Embodiments of the present application provide a pseudo-haptic weight perception method, device, equipment and storage medium, and relate to the technical field of virtual reality. When it is identified that a target object is selected, the length of an interaction ray is calculated and fixed according to a real-time pose and an initial position of the target object, in each time frame according to a preset time frame interval, a ray ideal end point position is calculated according to the real-time pose and the length of the interaction ray, a dynamics model is established according to a virtual mass, an actual rendering position of the target object is calculated based on the dynamics model, a spatial deviation vector of the ray ideal end point position and the actual rendering position is obtained, a non-linear curved ray is generated and rendered based on the spatial deviation vector, the actual rendering position is applied to the target object or a local anchor point of the target object, and a visual representation of a controller at the real-time pose is maintained. A user distinguishes the difference of different virtual masses through the motion retardation degree of the target object and the curved deformation of the ray, and the accuracy of virtual reality weight perception is improved.

This application provides a business processing method, a computing device, and a storage medium. The method, applied to the computing device, includes: determining at least one computing item corresponding to the object and the computing rules for each computing item based on the object identifier and pre-configured business metadata; generating a computing result for the object based on the computing rules for each computing item, the computing result including each computing item corresponding to the object and the item value corresponding to each computing item; determining the storage location of each computing item in the business processing result table based on pre-configured storage information, the storage location of each computing item in the computing result being located in a different column of the business processing result table; and writing the item value corresponding to each computing item in the computing result to the corresponding storage location of the computing item in the business processing result table. This method can improve business processing efficiency.

This invention relates to the field of digital holographic imaging technology, and discloses a fast phase wrapping and unwrapping method, apparatus, and electronic device. The invention includes: digitally reconstructing holographic image data to obtain intensity distribution data and wrapped phase distribution data; calculating weight values ​​at each corresponding pixel position of the intensity and wrapped phase distribution data to generate a weight matrix, where the weight values ​​characterize the reliability of the corresponding pixel's phase data; performing threshold segmentation on the weight matrix to generate a mask, dividing the image region into reliable and unreliable regions; using the weight values ​​of the reliable regions in the mask as the unwrapping order, performing path unwrapping on the wrapped phase distribution data to obtain preliminary unwrapped phase distribution data; using the preliminary unwrapped phase distribution data as initial values, iteratively optimizing using the weight matrix to obtain the final unwrapped phase distribution data. This invention can effectively eliminate the influence of isolated regions on the phase reconstruction accuracy while ensuring unwrapping speed.

The application provides a bridge BIM reverse modeling method, system and device driven by a primitive library, steps of the method comprising: receiving a bridge point cloud structure diagram obtained by radar scanning; inputting the bridge point cloud structure diagram into a preset deep learning network model; the deep learning network model divides the bridge point cloud structure diagram into multiple substructure diagrams; calculating structure parameters based on point clouds in the substructure diagrams; matching the substructure diagrams in the preset primitive library based on the structure parameters; obtaining a reference model corresponding to the substructure diagram in the primitive library; the primitive library comprises multiple components, each component is provided with multiple reference models; obtaining a preset parameter type to be modified of the matched reference model; calculating actual parameter values of the parameter type to be modified based on positions of each point cloud in the substructure diagram; modifying parameter values of the parameter type to be modified in the reference model to corresponding actual parameter values; and obtaining actual submodels corresponding to each substructure diagram.

An object of the present invention is to provide a position detection server and a position fluctuation grasping method capable of easily grasping a positional deviation of a device group configuring an IoT service without manual intervention as much as possible and improving reliability of IoT data. A position detection server 13d according to the present invention is characterized in that it is provided in a data collection system in which a terminal 11 transmits information to a management node 13 at arbitrary timing and the management node 13 stores the information for each terminal 11, and includes a position computation unit 13d3 that compares the information from the past and the latest information stored in the management node 13 for each terminal 11 and defines the terminal 11 having a difference between the information from the past and the latest information as a terminal 11-1 whose position has fluctuated.

In some implementations, a computing device can present augmented reality (AR) labels in an AR video stream. For example, the computing device can obtain route information for a route requested by a user and can determine locations along the route for placing candidate AR labels. The computing device can determine the precise location of the computing device using camera depth information obtained in response to the user scanning the local real-world environment with a camera of the computing device. The computing device can select an AR label and / or label placement location for presentation in an AR video stream based on various criteria, including the distance between the candidate AR labels and the precise location of the computing device, priorities assigned to each candidate AR label, and / or whether a clear line of sight exists between the precise location of the computing device and the candidate AR label location.

A transition animation generation method and device, a computer readable storage medium and a terminal, the method comprising: obtaining a starting key frame and an ending key frame; obtaining a blank time length of a blank time period between the starting key frame and the ending key frame; calculating a total frame number N of the transition animation and positions of each transition frame according to the blank time length and a preset frame rate; calculating motion data of each transition frame, wherein the motion data of the first transition frame is obtained according to motion data of the starting key frame, motion data of the ending key frame and the position of the first transition frame, the motion data of the i+1th transition frame is obtained according to the motion data of the starting key frame, the motion data of the ending key frame, the motion data of the ith transition frame and the position of the i+1th transition frame, and 1≤i≤N-1; and generating the transition animation based on the motion data and the positions of the N transition frames. The above scheme can improve the generation efficiency of the transition animation and meet the needs of real-time running scenarios.

A seamless and secure cloud to PC pointer relay allows a pointer / cursor to be moved between secure and unsecure windows while being displayed with smooth transitions and while transitioning between secure and unsecure data handling for pointer information. A secure input unit encrypts pointing device operations in the secure window. A user (host) computing device performs location calculations on encrypted data, which conceals pointing device operations in the secure window from the host operating system. The secure unit decrypts the encrypted data returned by the host operating system to determine the calculated pointer location information. The secure unit relays the calculated pointer operation information to the source of the secure window (e.g., remote cloud server) to process user interaction with the secure window while keeping the host operating system unaware of user activity in the secure window (e.g., other than position, if the host renders the pointer).

This application discloses a method and apparatus for determining the wake-up signal detection window in narrowband Internet of Things (NB-IoT), relating to the field of communication technology and applicable to NB-IoT / 5G NTN systems. During the paging cycle switching phase, the IoT terminal acquires standard time and geographic location information through an integrated GNSS module; it calibrates the clock deviation of the local timing module based on the standard time, and calculates the WUS one-way propagation delay by combining the terminal's and network-side device locations; it determines the estimated WUS arrival time and configures a narrow detection window accordingly; the radio frequency receiver listens within the window, triggering the main receiver chain or remaining in sleep mode. In case of GNSS failure, it automatically switches to a wide window mode to ensure service continuity. This technology can reduce the detection window duration, lower terminal power consumption, and improve timing synchronization accuracy.

A system 2 comprises a primary electronic display device 6, e.g. a floor-standing unit, located at a first location 8. The display device includes a user interface 10 for allowing a user access, by way of computer software stored on a computer at the first location, to one or more user-defined items of an electronic collection of data, e.g. a digital library of product information. The data is stored at one or more remote locations 12 to the display device and relates to the construction industry. The software allows the user to view and transfer the or each user-defined items to a secondary electronic display device 16 of the user, e.g. a personal portable electronic display device. The software further serves to notify owners of the or each accessed data item and provides means for contact between the owner of the or each accessed item and the user. [Fig. 1]

To improve the rendering accuracy of cutscenes in games that use flying devices. [Solution] A display method for causing one or more computers to display a video on a display device showing an aerial device flying along a flight path, comprising: a step of calculating a first flight path toward a first target position based on a first detection position detected by a detection unit for detecting the target position of the aerial device at a first time point; a step of displaying a first video on a display device showing the aerial device flying along at least a portion of the first flight path; a step of calculating a second flight path toward a second target position based on a second detection position detected by the detection unit at a second time point later than the first time point; and a step of replacing the first video with a second video showing the aerial device flying along at least a portion of the second flight path and displaying it on the display device.

This invention relates to the field of video stream compositing technology and discloses a low-latency compositing output system for video streams from rendering nodes. The system's input proxy module captures video stream data packets from multiple rendering nodes, parses and generates metadata tags in real time, and writes them to a shared memory queue. A frame synchronization manager dynamically connects to the shared memory queue, establishes a cross-node frame synchronization index table based on the timestamp sequence of the metadata tags, and triggers a frame interpolation command when consecutive timestamps are missing. A frame buffer allocator responds to the frame interpolation command by generating virtual frame placeholders and simultaneously allocates physical buffer addresses for video stream data packets with complete timestamp sequences, generating a frame storage mapping table. A compositing decision engine periodically polls this table, calculates frame space weights based on the topological location of the rendering nodes, and generates a distributed compositing path strategy based on the physical distribution of the buffer addresses. Through the collaboration of these modules, low-latency compositing output of video streams from multiple rendering nodes is achieved.

The invention relates to a method (200) for identifying a fault condition of a temperature control system (100, 101) comprising several components (110, 120, 130, 140, 150, 160, 170, 180, 190) through which at least one temperature control medium flows, the method (200) comprising a sensory determination (204) of at least one physical quantity of the at least one temperature control medium at at least two different positions (111, 121, 131, 151, 161, 171, 181, 191) within the temperature control system, a computational determination (203) of the at least one physical quantity for each of the at least two positions, a determination of a difference (208) between the sensory-determined and the computationally determined physical quantity for each of the at least two positions, and a determination of the presence (209) of an error state depending on the difference and, if an error state has been determined to be present,Identifying the type and / or location of a fault (302, 303, 304) based on the difference. Identifying the location of the fault includes identifying the components affected by the fault, and / or identifying the type of fault includes identifying a function of at least one of the components that is not functioning as intended. Furthermore, a computing unit, a temperature control system, and a computer program for carrying out such a procedure are proposed.

The application discloses a substrate edge-finding positioning method and device, a storage medium and a program product, relates to the technical field of positioning, and the substrate edge-finding positioning method comprises the following steps: acquiring a real-time trigger signal fed back by an edge-finding photoelectric sensor during movement of a robot to a target substrate, and determining a real-time substrate position according to the real-time trigger signal; since an edge-finding reference position has been determined in advance in a teaching stage, and a preset edge-finding compensation value is determined in advance based on a taught substrate placing position and the taught edge-finding reference position; in actual operation, a position deviation of the target substrate in the X-axis and Y-axis directions is calculated according to the real-time substrate position and the taught edge-finding reference position; the target placing coordinate is determined according to the position deviation and the preset edge-finding compensation value; the robot is driven to move the target substrate to the target placing coordinate, a substrate placing action is performed, and substrate edge-finding positioning is completed, so that the technical problem of low accuracy of substrate edge-finding positioning can be solved.

This invention provides a method for layout and switching of multi-tasking windows on a tablet computer. This method applies a priority scoring formula combined with multi-dimensional user behavior and device status data to achieve precise window layout adaptation. Compared to a fixed layout, it improves the completeness of application content display and operational efficiency. An adaptive window size and position calculation model avoids window overlap and screen overflow issues, while ensuring high-priority applications receive better display resources, reducing the accidental touch rate during multi-tasking operations. An intelligent switching trigger threshold algorithm, combining gestures, relevance, and user intent, reduces manual switching operations and improves switching response speed. A dynamic adjustment formula for transition animation parameters optimizes the visual experience based on device performance and application type, reducing resource consumption in low-power scenarios and improving battery life. A user habit learning mechanism enables personalized adaptation, resulting in a better user experience.