286 results about "Situated computing" patented technology

An agricultural system can include an implement including a frame assembly. A basket assembly can be operably coupled with the frame assembly. A basket assembly actuator can be operably coupled with the basket assembly and the frame assembly. The basket assembly actuator can be configured to alter a position of the basket assembly relative to the frame assembly. A computing system can be communicatively coupled to the basket assembly actuator. The computing system can include a processor and associated memory, the memory storing instructions that, when implemented by the processor, configure the computing system to receive a defined soil finish, receive data indicative of a soil profile, determine a soil compaction limit based on the soil profile, and determine a defined basket assembly actuator position based at least partially on the soil compaction limit and the defined soil finish.

A process plant and industrial control system architecture includes a generalized compute fabric that is agnostic or indifferent to the physical location at which the compute fabric is implemented, includes one or more physical control or field devices located at one or more specific sites at which a product or process is being manufactured and further includes a transport network that securely provides communications between the compute fabric and the pool of physical devices. The compute fabric includes an application layer that includes configured containers or containerized software modules that perform various control, monitoring and configuration activities with respect to one or more devices, control strategies and control loops, sites, plants, or facilities at which control is performed, and includes a physical layer including computer processing and data storage equipment that can be located at any desired location, including at or near a site, plant, or facility at which control is being performed, at a dedicated location away from the location at which control is being performed, in re-assignable computer equipment provided in the cloud, or any combination thereof. This control architecture enables significant amounts of both computer processing and IT infrastructure that is used to support a process plant, an industrial control facility or other automation facility to be implemented in a shared, in an offsite and / or in a virtualized manner that alleviates many of the communications and security issues present in current process and industrial control systems that attempt to implement control with shared or virtualized computing resources set up according to the well-known Purdue model.The industrial control system architecture is protected via more secure and customizable techniques as compared to those used in Purdue model-based control systems. For example, communications between any (and in some cases, all) endpoints of the system may be protected via one or more virtual private networks to which authenticated endpoints must be authorized to access. Endpoints may include, for example, containerized components, physical components, devices, sites or locations, the compute fabric, and the like, and the VPNs may include mutually-exclusive and / or nested VPNs. External applications and services, whether automated or executing under the purview of a person, may access information and services provided by the system via only APIs, and different sets of APIs may be exposed to different users that have been authenticated and authorized to access respective sets of APIs.A configuration system operates within the compute fabric to enable a user to easily make configuration changes to the compute fabric as the user does not generally need to specify the computer hardware within the compute fabric to use to make the configuration changes, making it possible for the user to deploy new configuration elements with simple programming steps, and in some cases with the push of a button.

The invention discloses a method and a system for predicting whole body actions by a sparse inertial measurement unit, and the method comprises the following steps: setting a plurality of nodes at a test target, and setting inertial measurement modules on the nodes; acquiring a node inertia action signal and recording a message sequence and a timestamp of the message; acquiring a node rotation attitude and a node acceleration in a geographic coordinate system; acquiring node rotation attitudes and node accelerations of a plurality of nodes under the SMPL coordinate system; calculating the positions of all leaf nodes relative to the root node; calculating the position of the whole body joint relative to the root node; calculating to obtain a rotating posture of the whole-body joint relative to the root node; and measuring the speed of the root node. According to the technical scheme provided by the invention, the non-deployed IMU joint action can be more accurately predicted, the high-speed action can be captured, the long-time coherent action restoration is realized, the real action and virtual action delay is shortened, the system provided by the invention is low in cost, and frequent action calibration is not needed.

Example implementations relate to systems and techniques for intuitive hot spot demarcation along ground surfaces in order to provide alerts that assist pilots avoid potential collisions. An aircraft computing system may receive map and hot spot data for a taxi route for the aircraft. Based on the map and hot spot data, the computing system may display a representation of the taxi route with a graphical overlay that conveys a position of each hot spot located along the taxi route. The computing system may monitor movement of traffic relative to the taxi route based on traffic data. When traffic is detected proximate a hot spot located along the taxi route, the computing system may provide an alert via the display interface. The alert can increase in intensity based on the location of the traffic relative to the hot spot.

Methods, computing systems, and technology for locating available parking spaces are presented. For example, a computing system may be configured to access data indicative of an available parking space identified by a drone. The computing system may be configured to determine, based on the data indicative of the available parking space identified by the drone, a location of the available parking space. The computing system may be configured to determine a route, for a vehicle, to the location of the available parking space. The computing system may be configured to generate content comprising information for navigating to the location of the available parking space. The computing system may be configured to output one or more signals to initiate a display of the content for a user via a user interface of a wearable display device, the content comprising the information for navigating to the location of the available parking space.

The invention discloses a big language model dialogue recommendation method based on multi-modal geographic information fusion and context modulation, which comprises the following steps of: firstly, coding and fusing a text address, geographic coordinates and numerical attributes to obtain a geographic context matrix; then intention modeling is carried out to generate user intention representation, then context feature modulation is utilized, dynamic modulation is carried out on the user intention representation by utilizing an asymmetric fusion mechanism, a context guiding signal containing geographical constraints is generated, and finally, the context guiding signal is spliced before the user intention representation. The big language model input to the parameter freezing obtains user preference vectors and calculates recommendation scores with the candidate positions, the candidate positions are sorted according to the recommendation scores, and the candidate positions with high scores are recommended to the user. According to the method, on the premise that internal parameters of the large language model are not changed, the geospatial reasoning ability is effectively given to the large language model, and the accuracy and interpretability of dialogue recommendation are remarkably improved.

The invention discloses a smart type library-based teleoperation method, system and device, and a storage medium. The method comprises the following steps of: constructing a smart operation type library; analyzing the task instruction through a preset multi-modal large language model MLLM to obtain a corresponding operation step, and matching a dexterous operation type corresponding to the current step from a dexterous operation type library; intuitive accurate control between the hand and the manipulator is realized through an interpolation mapping strategy. The interpolation mapping strategy specifically comprises the following steps: capturing a fingertip position of a human hand in real time; calculating the normalized projection proportion of the current posture of the human hand relative to the stretching state and the contraction state; and according to the projection proportion, linear interpolation is carried out on the extension and contraction joint angles of the manipulator, and a manipulator joint angle instruction is generated. According to the method, the adaptability and stability of teleoperation are provided by establishing a systematized smart type library and combining a type automatic retrieval module assisted by a multi-modal large language model and an interpolation mapping control strategy.

The invention discloses a lightweight interest point recommendation method and device fusing user moving directions, relates to the technical field of interest point recommendation, and mainly aims to solve the problem of low data processing efficiency of interest point recommendation. The method mainly comprises the steps that in response to an interest point recommendation requirement of a target user, the real-time position, the moving direction and a global interest point of the target user are obtained, and the global interest point is a site matched with the interest point recommendation requirement in a global site sign-in record data set; screening the global points of interest according to the real-time position and the sign-in record of each point of interest to obtain a candidate sign-in record data set; calculating the moving direction similarity of each candidate interest point according to the moving direction and the real-time position, and calculating the collaborative filtering similarity of each candidate interest point according to the sign-in user information and the sign-in record of the target user; and generating interest point recommendation information of the target user according to the moving direction similarity and the collaborative filtering similarity. The method is mainly used for interest point recommendation.

The invention relates to the technical field of equipment positioning, in particular to a multi-source data fusion positioning method and device, equipment and a storage medium. The method is applied to wearable target equipment and comprises the steps that multi-source positioning data and inertial measurement data are acquired, the environment category of the equipment is identified based on the multi-source positioning data, weight distribution of positioning sources is dynamically adjusted according to the environment category, and the multi-source positioning data comprises positioning results generated by at least two heterogeneous positioning technologies; respectively calculating each positioning result and executing corresponding position calculation to obtain a plurality of equipment calculation positions; based on the adjusted weight distribution of each positioning source, performing weight fusion on each equipment calculation position to generate an initial fusion position; and performing error correction on the initial fusion position through inertial measurement data, and outputting a final equipment positioning coordinate. According to the method and the device, a multi-source data positioning technology can be coordinated, and the positioning precision requirements of a user in various scenes are met.

The invention provides a front-end list rendering method and system based on dynamic anchor point positioning, and relates to the technical field of web front-end optimizing.The method comprises the steps that the width and the height of a container provided by a user are obtained, and a list container used for being matched with the container is set; setting a configuration entry of a loading position and a loading function, and configuring a maximum position value and a minimum position value by a user through the configuration entry; anchor point elements are arranged in the viewport container, and the positions of the anchor point elements are recorded; and calculating and adjusting the rendering position of the list container according to the anchor point element position. According to the technical scheme, the user experience can be improved, and it is guaranteed that the user enjoys the smooth rolling effect when browsing the list through the reliable technology.

A computing system may direct a first robotic arm to a first position based on a first set of coordinates. The computing system may cause the first robotic arm to engage with a first structure based on the first position of the first robotic arm. Further, the computing system may direct the first robotic arm to a second position based on a second set of coordinates such that the first structure is brought within a joining proximity of a second structure without a fixture retaining the first structure and without a fixture retaining the second structure, wherein the first structure is configured to be joined with the second structure when the first and second structures are within the joining proximity, the joining proximity being a proximity at which the first and second structures can be joined together.

According to the model conversion method provided by the invention, the height map of the terrain and the weight distribution maps of the plurality of material layers are acquired, the target three-dimensional grid model is generated according to the height map, the weight distribution maps of the plurality of material layers are combined to generate the weight map, and based on the position of the target three-dimensional grid model in the world coordinate system, the target three-dimensional grid model is converted into the target three-dimensional grid model. Calculating texture mapping coordinates; and generating a material instance corresponding to the target three-dimensional grid model according to a preset material template, the weight map and the texture mapping coordinate. Through effective integration and conversion processing of terrain height information and multilayer material weight information, automatic conversion from two-dimensional terrain data to a three-dimensional grid model with complete material information is realized, and it is ensured that the finally generated three-dimensional model can accurately express a complex material mixing effect. And the visual authenticity and rendering efficiency of the terrain model are obviously improved.

Systems, methods and media for vision-based prediction of joint actions and gesture motion. A computer-implemented method includes: extracting frames of a video sequence; estimating the current pose of an object in each frame and determining the joint positions of joints associated with the object in each frame; calculating optical flow between each pair of consecutive video frames; extracting motion features from each video frame of the video sequence based on the optical flow; encoding state information based on the current pose and the motion features; determining a current action label for each motion feature in the state information for a first frame; predicting a future action label for each motion feature in a second frame after the first frame based on the current pose, the current action label and the state information; predicting a future pose for each motion feature in the second frame based on the current pose and the state information; and refining the current action label, the future action label and the future pose.

The invention discloses a heat exchanger surface accurate positioning and automatic cleaning method based on computer vision. The heat exchanger surface accurate positioning and automatic cleaning method comprises the following steps of S1, video acquisition and preprocessing; s2, performing pipeline target detection and positioning by using a YOLO algorithm, and optimizing convolution calculation efficiency by using a CSPNet structure; s3, position correction is conducted, specifically, the displacement amount between the cleaning equipment and the pipeline is calculated according to the obtained pipeline position; s4, dynamic adjustment is conducted, specifically, the position deviation is dynamically adjusted, and the position and angle of the cleaning equipment are adjusted according to the deviation value obtained through calculation; s5, confirming the position; and S6, a cleaning equipment control instruction is generated, and the pipeline is cleaned. Through the computer vision and deep learning technology, automatic and accurate positioning of the surface pipeline of the heat exchanger is achieved, and efficient cleaning is completed in combination with automatic equipment. Compared with a traditional method, the cleaning efficiency and accuracy are remarkably improved, manual intervention is reduced, and high-precision positioning can be kept in long-term work.

To provide a simulation device capable of simulating movement of a panel after press molding.SOLUTION: A simulation device is configured in such a manner that a computer 10, on the basis of specification information including the mass of a panel 8 inputted to a press molding apparatus 2 by a user, a speed related value for the rising speed of an upper die 3, a value for the adsorption power of a magnetic force generating member 6, the mass of a panel advance presser pin 7, and a value for spring force, executes position calculation processing for calculating a bouncing amount and a compression amount of a spring 70, which are relative positions of an abutting surface 81 of the panel 8 to an adsorption surface 51 of a lifter 5, by prescribed period of time, the upper die 3 and the lifter 5 integrally rising from the state of having the panel 8 sandwiched by the upper die 3 and the lifter 5 by press molding, and the time when the lifter 5 only stops while the upper die 3 continuously rises being set as a starting point.SELECTED DRAWING: Figure 1

The invention discloses a positioning method and device based on point cloud data. The method comprises the following steps: S1, collecting a circle of point cloud data as target point cloud data; s2, obtaining the shortest distance between each coordinate point in the target point cloud data and the template point cloud data, and calculating a displacement estimated value based on the shortest distance; and S3, calculating the current position of the robot based on the displacement estimated value and the initial position of the robot. According to the positioning method, the displacement estimated value is obtained through calculation of the point cloud data to achieve positioning, data collected by a GPS and a visual sensor do not need to be used in the process, and therefore the method can be applied to a double-blind scene. According to the method, a point cloud map conventionally used in an existing positioning technology does not need to be utilized, the point cloud map is fusion of multiple frames of point cloud data, and positioning can be achieved only by utilizing single-frame point cloud data, so that the calculated data volume is smaller compared with that of the existing positioning technology, and the method can be operated on low-cost platforms such as a single-chip microcomputer with low computing power.

A computing system for landing and storing vertical take-off and landing (VTOL) aircraft can be configured to receive aircraft data, passenger data, or environment data associated with a VTOL aircraft and determine a landing pad location within a landing facility based on the aircraft data, passenger data, and / or environment data. The landing facility can include a lower level and an upper level. The lower level can include a lower landing area and a lower storage area. The upper level can include an upper landing area. At least a portion of the upper level can be arranged over the lower storage area. The landing pad location can include a location within the lower landing area or the upper landing area of the landing facility. The computing system can communicate the landing pad location to an operator or a navigation system of the VTOL aircraft.

The subject matter described in this disclosure can be embodied in methods and systems for stabilizing video. A computing system determines a stabilized location of a facial feature in a frame of video accounting for its location in a previous frame. The computing system determines a physical camera pose in virtual space and maps the frame into virtual space. The computing system determines an optimized virtual camera pose using an optimization process that determines (1) a difference between the stabilized location of the facial feature and a location of the facial feature when viewed from a potential virtual camera pose, (2) a difference between the potential virtual camera pose and a previous virtual camera pose, and (3) a difference between the potential virtual camera pose and the physical camera pose. The computing system generates the stabilized view of the frame using the optimized virtual camera pose.

The invention relates to the technical field of path planning, in particular to a global path planning method for a robot in a complex static environment, and the method comprises the steps: constructing a static environment model; setting parameters; initializing a population position; calculating the fitness; adjusting the position of the sparrow to avoid static obstacles; after each iteration, carrying out local optimization by using cubic spline interpolation; and repeating the steps until the maximum number of iterations or path convergence is achieved, and outputting the optimal path. Compared with the prior art, the method has the advantages that the nonlinear attenuation factor mu is introduced into the discoverer algorithm, so that the discoverer can perform wide exploration in the early stage and can perform accurate exploration on the developed area in the later stage, the early-stage search speed of the discoverer is increased, and the convergence speed is increased; and different search paths are determined according to the alarm value, and large-range search is performed when the alarm value is low, so that the optimal path is quickly searched, and the convergence speed is further improved.

The invention discloses a fuel tank fuel volume calculation method based on an equivalent virtual sensor, electronic equipment and a medium. The method comprises the following steps: determining a bottom surface and a top surface on which fuel quantity sensors can be arranged in an aircraft fuel tank, and arranging three fuel quantity sensors; calculating coordinates of a bottom point and a top point of the equivalent virtual oil quantity sensor according to the positions of the three oil quantity sensors; establishing an oil volume-height characteristic database according to the equivalent virtual oil quantity sensor; solving the oil immersion height of the equivalent virtual oil quantity sensor according to the oil immersion point coordinates of the three oil quantity sensors; and the fuel oil volume is calculated according to the oil immersion height of the equivalent virtual oil quantity sensor. According to the method, on the premise that the oil volume calculation precision is met, the arrangement number of the oil quantity sensors of the large-size oil tank is effectively reduced, the novel fuel oil volume calculation method is built based on the equivalent virtual sensors, the size of an oil volume-height database of the oil tank is effectively reduced, and the oil volume calculation speed is increased.

A system for an agricultural machine may include a steering system configured to alter a steering direction of a chassis. A guidance system may be operably coupled with the steering system and configured to alter a steering direction of the machine based on a defined target path for the agricultural machine. A boom assembly may be operably coupled with the chassis. One or more actuators may be operably coupled with the boom assembly and configured to alter a first boom section relative to a second boom section. A computing system may be communicatively coupled to the steering system. The computing system may be configured to receive the defined target path from the guidance system, determine a projected path about the defined target path, generate a steering command based on the projected path, and generate a boom command based at least in part on the steering command and the projected path.

Apparatuses and methods are described for detecting anomalies during glass sheet production. In some examples, a glass forming apparatus draws down molten glass to produce a glass sheet. In addition, multiple cameras capture images of at least a portion of an interior of a housing assembly of the glass forming apparatus and the glass sheet. Further, the computing device receives the images from the cameras, and applies a machine vision process to the images. Based on the application of the machine vision process to the images, the computing device determines a position of an object in each of the images. The computing device further determines an anomaly based on the position of the object in each of the images. The computing device then generates anomaly detection data based on the anomaly, and stores the anomaly detection data in a database.

The application provides a virtual character following movement method, device and storage medium, the method comprises the following steps: step S1, constructing a virtual space and a virtual character and a user character, obtaining the real-time position between the user character and the virtual character, and calculating the straight-line distance between the user character and the virtual character; step S2, determining whether the straight-line distance exceeds a preset value, when the straight-line distance exceeds the preset value, adjusting the state of the virtual character to a moving state, and the virtual character moves towards a target position; step S3, when the virtual character is located at the target position, detecting the current moving state of the user, adjusting the state of the virtual character to a standby state, and following the user character. In the application, the user can see and perceive the existence of the virtual character, and interacts with the virtual character.

The invention relates to a GIL multi-physics field reconstruction method under the constraint of shell sparse sensing data, and the method comprises the steps: constructing a high-fidelity multi-physics field numerical simulation model of an electromagnetic field-temperature field-flow field based on the typical working condition of a GIL; constructing a temperature field-flow velocity field reduced-order model, and generating a base and a time evolution coefficient of a low-rank space according to the reduced-order model; calculating the relationship among the sampling matrix, the sensor data and the screen snapshot according to the actual sensor position, and generating final sensing data according to the relationship; and constructing a neural network agent model for GIL multi-physics field reconstruction based on the final sensing data and the base and time evolution coefficient. According to the method, the double-limitation dilemma of high-voltage equipment such as GIL in field-level state detection is solved through a machine learning algorithm, that is, the problem that the stability and accuracy of a traditional reconstruction algorithm are degraded under the conditions that the sensor type is single and the spatial arrangement is limited is solved.

The invention discloses a lost article retrieval method, system and device, and a storage medium, and the key points of the technical scheme are that feature extraction is performed on a received lost article image to obtain a first feature vector; obtaining video data including a lost article and at least one person, and extracting a second feature vector of each person in the video data; calculating the compactness between the lost article and the corresponding person according to the first feature vector and each second feature vector; according to the video data, obtaining a lost article position and each person position, and according to the lost article position and each person position, calculating a position relation metric value of the lost article and the corresponding person; and according to the closeness and the position relation metric value corresponding to each person, calculating a corresponding comprehensive relation metric value, and taking the person with the maximum comprehensive relation metric value as a loser. The loser can be actively found, the storage position occupied by the lost article is reduced, the loss of the loser is reduced, and resource waste is avoided.

A load control system may comprise an electrical load control device and / or a computing device. The electrical load control device may control, for example, motorized window treatments (e.g., shades), lighting controls, and / or sensors (e.g., occupancy, radio window, daylight, etc.). For example, a load control device comprising a motorized window treatment may control the position of a covering material in the window treatment. The computing device may comprise a processor and / or a graphical user interface (GUI). The computing device may be a server and / or a user device, such as a wireless user device (e.g., a cellular phone, tablet, or laptop computer). The computing device may be configured to provide graphical representations that may be displayed on a GUI based on load control information.

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.

Provided is a substrate conveyance method using a conveyance arm that has a first substrate support section and a second substrate support section, the method including: a step in which a first correction amount for a delivery position is corrected on the basis of the position of a substrate on the first substrate support section; a step in which a delivery position pertaining to a first substrate is corrected on the basis of the first correction amount applied to the first substrate; a step in which the first substrate support section is moved to the corrected delivery position and the first substrate is delivered from the first substrate support section to a rotary processing device; a step in which the second substrate support section is moved to a predetermined reception position and the first substrate is received from the rotary processing device by the second substrate support section; a step in which a second correction amount for the delivery position is calculated on the basis of the position of the first substrate on the second substrate support section; and a step in which a delivery position pertaining to a second substrate conveyed after the first substrate is corrected on the basis of the second correction amount and the first correction amount applied to the second substrate.