47 results about "Spatial interaction" patented technology

A terminal and method for controlling the terminal using spatial gesture are provided. The terminal includes a sensing unit which detects a user gesture moving an object in a certain direction within proximity the terminal, a control unit which determines at least one of movement direction, movement speed, and movement distance of the user gesture and performs a control operation associated with a currently running application according to the determined at least one of movement direction, movement speed, and movement distance of the user gesture, and a display unit which displays an execution screen of the application under the control of the control unit.

An impact absorber for decelerating a vehicle during a collision with an obstacle by hydraulic damping forces and pneumatic spring forces includes two tubes that are telescopically displaceable one inside the other. An internal tube of the two tubes is closed off to the outside by a base. A gas space subjected to high pressure is disposed adjacent said base and interacts with a first liquid space via a separating piston which is axially guided in the internal tube in a sealed manner. The first liquid space is hydraulically connected to a second liquid space via a throttle opening through an intermediate wall attached inside the internal tube. A working piston attached to a piston rod is guided in the internal tube in a sealing manner and interacts via the piston rod with a third liquid space in an external one of the two tubes. A control which can be connected to two chambers is provided to extend the impact absorber or to return it to a normal position.

The invention discloses a tool for vertical lathe machining of a ring-cone-shaped thin-walled part. The tool for vertical lathe machining of the ring-cone-shaped thin-walled part comprises a tool base plate, a plurality of expanded sliding blocks and a conical block. The tool base plate is in a disk shape, and a through hole is formed in the center of the tool base plate. One end of a mandrel penetrates through the through hole in the center and then is fixed to the tool base plate. One end of each expanded sliding block is used as a clamping face, the outline of the end face of each expanded sliding block is matched with the curved surface of the inner wall surface of a workpiece to be machined, the other end of each expanded sliding block is used as a driving end, and the end face of the driving end of each expanded sliding block is an inclined face. The conical block is connected to the mandrel in a sleeving mode, and the conical surface of the conical block is matched with a conical space. The conical block can be driven to conduct interaction with the conical space, so that the expanded sliding blocks are driven to slide on guide rails in the radial direction to enable the clamping faces of the expanded sliding blocks to abut against the inner wall of the workpiece, and therefore the workpiece is clamped and fixed to be machined. The invention further discloses the application of the tool to vertical lathe machining. The tool for vertical lathe machining of the ring-cone-shaped thin-walled part can clamp and fix the ring-cone-shaped thin-walled part, it is guaranteed that when the workpiece is machined, the gaps between the workpiece and clamps are even, the workpiece will not slide axially, and therefore the machining precision is high. In addition, the tool is convenient to assemble and disassemble.

A sensing apparatus is provided which comprises a chip (20) in which a transmission line (2) for propagating an electromagnetic wave is formed on a substrate (1), an electromagnetic wave generator (7) for generating an electromagnetic wave (10), a coupling means (9), and a detector (5) for detecting a propagation state of an electromagnetic wave at an arbitrary location on the transmission line, of the electromagnetic wave propagating through the transmission line (2). An interaction between an object (4) disposed in the vicinity of the transmission line (2) and the electromagnetic wave is detected by the detector (5) to sense a spatial interaction state of the object (4) with the electromagnetic wave.

The invention provides an advanced multi-level structure relationship learning network for segmenting brain tumor data. In each subnet, an environmental information mining module is introduced betweenan encoder and a decoder, and environmental information in a single domain and environmental information between different domains are respectively mined by adopting a dual self-attention mechanism and spatial interaction learning.

The embodiment of the invention provides a control method for a virtual reality interface, and virtual reality equipment. The control method for the virtual reality interface comprises the following steps that: obtaining a to-be-identified movement parameter generated by a user in a preset space; identifying a spatial interaction gesture corresponding to the to-be-identified movement parameter; determining a control instruction corresponding to the spatial interaction gesture; and displaying a virtual reality picture corresponding to the control instruction. By use of the embodiment of the invention, human-computer interaction can be carried out with the virtual reality equipment without peripheral equipment, the user can operate the virtual reality equipment through the interactive action of a real world, and the immersive experience of the virtual reality is enhanced.

The invention provides an obstacle trajectory prediction method and device, and the method comprises the steps: the interaction weight between every two obstacles is determined according to the motionfeatures extracted from the historical motion trajectory of each obstacle, the corresponding motion features are weighted through the determined interaction weights, and weighted spatial interactionfeatures are obtained; and a recurrent neural sub-network obtains the space-time interaction feature of each obstacle according to the input spatial interaction features, and a pre-trained second model determines the predicted motion trail of each obstacle according to the space-time interaction features of each obstacle, wherein the interaction weight reflects the influence degree between each obstacle and each other obstacle. Therefore, the spatial interaction features describe the interaction between the obstacles on the basis of the motion features, and the predicted future trajectory precision of the obstacles is higher.

The invention discloses a geological hexahedron mesh smoothing method based on neighborhood acting force. The geological hexahedron mesh smoothing method comprises the following steps that each vertex of a three-dimensional hexahedron model is traversed; whether the vertex requires smoothing is judged; as for the vertex requiring smoothing, a neighborhood hexahedron mesh sharing the vertex is divided into different blocks according to the attribute value, and the mesh of the same attribute value belongs to the same block; each block is regarded as the "homopolarity" of a magnet, each homopolarity has the same repulsive acting force on the vertex, the acting force is measured by a space mutual acting force model based on a gravity model, and the movement direction and distance of the vertex under the independent acting force of each block are calculated; then the movement component of the vertex along the x-axis, the y-axis and the z-axis under the effect of resultant force of all the blocks is calculated; and the final smoothing position of the vertex is acquired. The original three-dimensional topological relation of the mesh is maintained in the smoothing process, and the sawtooth effect of three-dimensional geological region boundary expression can be reduced so that the smoothing result is enabled to meet the actual geological phenomenon.

The invention discloses an intelligent location tracking manipulation pen and a processing method of spatial interaction sensor original data. The manipulation pen comprises a pen-like shell and an intelligent control circuit board, the intelligent control circuit board is arranged in a containing cavity of the pen-like shell, and the intelligent control circuit board comprises a motion sensor, a processing unit, a communication unit, a feedback prompting unit and a space coordinate signal unit. The method comprises the steps that firstly, the motion sensor detects parameters of a manipulation pen sensor; secondly, the processing unit reads the original data of the manipulation pen sensor, and whether the original data of the sensor is valid or not is judged; thirdly, the processing unit conducts average filtering on the original data of the sensor, and the euler angle parameter and the quaternion of the manipulation pen are obtained; fourthly, the euler angle parameter and the quaternion of the manipulation pen are transmitted to a special interactive device through the communication unit, and a spacial sensor of the manipulation pen is determined. The drift phenomenon is solved, a nine-axis motion sensor and the infrared track technology are utilized, so that the precision for tracking the spacial sensor of the manipulation pen is greatly improved, and the user experience is improved.

An organic electroluminescent device contains an anode, a cathode, and an organic layer containing at least one luminous layer. The organic layer is disposed between the anode and the cathode. At least one luminous layer contains a π-conjugated compound exhibiting no overlap between the electron density distributions of the HOMO and the LUMO in the molecule, such that electron transition between the HOMO and the LUMO occurs by a through-space interaction in the molecule. The π-conjugated compound has a π-conjugated aromatic ring at a moiety on which at least one of the HOMO and the LUMO is localized.

The invention provides a visual flight obstacle real-time measurement and calculation method. The method comprises the following steps: constructing a buffer area model, searching the obstacles, extracting and analyzing attributes, and publishing a result. The invention relates to an electronic device and a readable storage medium, which are used for executing a real-time measurement and calculation method for a visual flight obstacle. According to the method, through establishing a buffer area model, and performing spatial interaction analysis on the buffer area and the obstacle data, the distribution condition of obstacles in a flight range can be measured and calculated. Through publishing the attributes of the obstacles in the buffer area as geographic processing services, and publishing the obstacles in the buffer area as graphical result map services, calling and checking of a client are facilitated, the obstacles can be timely and effectively avoided, and safety accidents caused by the obstacles are avoided.

A device to manage the projection of images onto a plurality of media, and to geometrically designate and model a plurality of selected areas on display surfaces. The display areas form a visual environment of a user. The designations and models result in an environmental geometric model. A controller interprets information provided by at least one spatial interaction device of the user in the environmental geometric model. The controller generates images to be projected onto the various display areas by at least one image projector in accordance with the actions of the user as detected by the spatial interaction devices.

The invention discloses a hierarchical clustering network topology structure generation method based on multi-task unmanned aerial vehicle cluster information interaction. The method comprises the following steps: a step of determining an unmanned aerial vehicle cluster set and a position matrix of each cluster; a step of constructing a network topology structure of intra-cluster information interaction of each cluster; and a step of constructing a network topology structure of inter-cluster information interaction. According to the method, the unmanned aerial vehicle cluster is self-organizedby using the hierarchical clustering structure, and the mode of executing different tasks in different clusters is adopted, so that the problems that the scale of the unmanned aerial vehicle clusteris limited and information interaction only faces a single task are solved. Centralized control is adopted in a cluster in SCH topology of multi-task unmanned aerial vehicle cluster information interaction, a minimum spanning tree is calculated with a cluster head as a root to construct a network topology structure of any independent cluster, and therefore information interaction in all the independent clusters is completed. A spatial interaction gravitation model is introduced between the clusters to construct an inter-cluster network topology structure so as to complete information interaction between the unmanned aerial vehicle clusters.

This invention discloses a clamp for installing a tilted block in a HD including a tilted block clamping device with a location bolt, a sustain piece and a spring control piece, in which, said location bolt is fixed, said sustain piece can match with the bolt to clamp the tilted block, said spring control piece pushes said sustain piece to suppress the surface of the tilted block elastically which is advantaged that the sustain piece is controlled by a spring piece so that after the tilted block needs to be adjusted in fineness after normal adjustment, the block can be adjusted in fineness controlled by the spring piece and limited by surrounding space.

The invention provides a non-conjugated fluorescent polymer compound. The polymer compound has the structure shown in the formula (I), D is an electron donor, and A is an electron acceptor. The invention provides a class of non-conjugated fluorescent polymer compounds with space charge transfer effect, no conjugated unit is connected between the electron donor and the electron acceptor, the chargetransfer between the electron donor and the electron acceptor does not occur through covalent bonds, and the charge transfer is realized through the space effect. The blue light is easily realized because the luminescence wavelength of the polymer based on space charge transfer effect is relatively short. At the same time, the overlap degree between HOMO and LUMO energy levels is very small, andthus the polymer has the relatively small singlet state-triplet state energy difference, thereby the triplet state exciton can be made full use. In addition, the space interaction of the electron clouds of the electron donor and the electron acceptor can occur, so that the fluorescence quantum efficiency is relatively high, and then the high device efficiency can be obtained.

An automated method is provided for activating a function in a mobile interface device using near field communication (NFC). In the method, the mobile interface device receives a sequence of NFC transmissions from one or more NFC transmitters. Each NFC transmitter has an associated identifier and each NFC transmission is triggered by a spatial interaction between the mobile interface device and one of the one or more NFC transmitters. The mobile interface device determines whether the sequence of NFC transmissions meets matching criteria for one of a plurality of predetermined transmission sequences. Responsive to a determination that the sequence of NFC transmissions meets matching criteria for one of the predetermined transmission sequences, the mobile interface device determines the predetermined function associated with the one of the predetermined transmission sequences and initiates the predetermined function.

The invention discloses a positioning method for electric equipment. The method comprises the following steps: connecting the electric equipment to auxiliary positioning equipment, wherein the auxiliary positioning equipment comprises a positioning module; judging whether position information of the auxiliary positioning equipment can be taken as position information of the electric equipment or not; if so, acquiring the position information of the auxiliary positioning equipment, and transmitting the position information of the auxiliary positioning equipment to the electric equipment by the positioning module; and updating the position information of the auxiliary positioning equipment into the position information of the electric equipment. According to the positioning method for the electric equipment, the auxiliary positioning equipment is connected to the electric equipment, and the position information of the auxiliary positioning equipment is updated into the position information of the electric equipment in order that the electric equipment also has the position information, so that the position information of the electric equipment can be acquired subsequently. Thus, spatial interactions between electric equipment and electric equipment as well as between a user and the electric equipment are realized. The invention also discloses a positioning system for the electric equipment.

Test patterns and associated techniques for testing the fidelity of color processing are disclosed. One set of embodiments provide a test pattern that exhibits a large number of spatial interactions (e.g., edges) between colors corresponding to triples of constant value RGB primaries that incorporate a specific primary. Another set of embodiments provide an animated sequence of test patterns that exhibit temporal interactions between the colors identified above. Yet another set of embodiments provide a test pattern comprising a plurality of zones, where distinct subsets of the zones are configured to exhibit independent visual changes in response to adjustments of specific color processing controls. Using these test patterns, users may more easily test the fidelity of color processing (such as color dematrixing), and may more easily calibrate color processing controls accordingly.

The invention discloses a remote sensing image classification marking method based on a composite graph conditional random field in allusion to a classification marking problem of remote sensing images. The method comprises the steps of acquiring a training sample and a test sample through manual sample collection, wherein the training sample contains a category marking truth value; building a composite graph; defining a correlation potential function and an interaction potential function of the conditional random field; optimizing a conditional random field model through a quasi-Newton method; and carrying out reference on the test sample through a loop belief propagation algorithm so as to acquire a classification marking result. In the invention, the composite graph is built through combining a sparse graph which is capable of expressing global interaction information and a spatial graph which is capable of expressing local spatial interaction information, the data expression capacity of a graph structure is enhanced, thus the classification marking performance of the conditional random field is enhanced, and high classification marking precision is provided.

A user device receives an image stream from the user side of the user device and an image stream from a target side of the user device. The user device acquires a coordinate system for the user, acquires its own coordinate system, and relates the two coordinate systems to a global coordinate system. The user device then determines whether the user has moved and / or whether the user device has moved. Movement of the user and / or the user device is used as input modalities to control the user's interactions in the augmented reality environment.

The invention provides an atmospheric pollutant prediction method based on a deep learning model. The atmospheric pollutant prediction method comprises the following steps: converting unstructured input data based on a monitoring station into graph structure data containing structure information; learning spatial interactivity between monitoring stations by using a GNN model; inputting the monitoring station data completing the spatial relationship interaction into a GRUA model to capture the time dependence of PM2.5; and in combination with the to-be-predicted characteristic factors at the future moment k, completing the prediction of the PM2.5 concentration at the future moment k by using the full-connection network. According to the invention, sparsity and non-Euclidean distribution characteristics of environment monitoring stations are considered, and spatial correlation modeling prediction is carried out by combining the advantages of GNN on a spatial interaction relationship; in combination with the capture performance of the GRU on the time correlation, an attention mechanism is fused to capture global information, so that the modeling prediction capability on the time correlation is improved; and in combination with the land utilization type data in the multi-source data, the capture of the model on the spatial correlation is enhanced, so that the accuracy of model prediction is improved.

The invention discloses a population distribution prediction method based on physical space and social network space interaction, and the method comprises the steps: obtaining historical fine space-time scale population data, and carrying out the preprocessing of the historical fine space-time scale population data, and obtaining preprocessed data; generating a space interaction fusion matrix according to the preprocessed data; generating a population distribution prediction model according to the spatial interaction fusion matrix; and obtaining population distribution prediction data according to the population distribution prediction model. According to the population distribution prediction method provided by the embodiment of the invention, the interaction between the physical space and the social network space is considered at the same time, and the fine space-time scale population distribution data can be predicted more accurately.

The invention discloses a soil heavy metal risk identification method based on a spatial interaction relationship. The method specifically comprises the following steps: S1, obtaining a full-apertureheavy metal-related key industry enterprise list, a soil environment key supervision enterprise list, a key pollution discharge unit list, enterprise POI data, industrial and commercial element supplement data and a remote sensing image of a to-be-researched area; S2, obtaining enterprise basic information associated data containing geographic positions according to the industrial and commercial element supplementary data and the enterprise POI data; S3, judging whether buildings or enterprise factories exist in the area or not to obtain pollution enterprise point location data; S4, performingbivariate local space autocorrelation analysis on the soil heavy metal risk level and the density value of a pollution enterprise to obtain a space interaction relationship between the soil heavy metal and the pollution enterprise; and S5, carrying out risk identification on the research area. According to the method, the existing soil heavy metal partitioning method and thought are expanded, andthe method has important theoretical and practical significance for further managing and preventing soil heavy metal pollution.

The present embodiments relate to a method for determining a unique spatial relation of a medical device to an object. The medical device includes a registration mechanism with a first determination of the spatial relation of the medical device to the object by the registration mechanism by a first method for determining a relation of this kind, and with a second determination of the spatial relation of the medical device to the object by the registration mechanism by a second method for determining a relation of this kind. The second method is based on a physical principle of action different from that of the first method, with an evaluation of the results of the first and second determinations with respect to conformance by the registration mechanism, and, on the determination of a prespecified degree of conformance between the results, with a final determination of the spatial relation from the results of the first and second determinations by the registration mechanism to increase the safety of the medical device during operation in spatial interaction with a object.

The invention discloses a method and system for identifying an event in a video. The method comprises the following steps: acquiring static characteristics of each frame in a video based on a neural network; acquiring spatial interaction relationship features corresponding to the static features based on a spatial attention mechanism network; obtaining space-time interaction relationship features corresponding to the space interaction relationship feature set based on a time domain attention mechanism network; constructing a space-time interaction relation graph based on the space-time interaction relation features, and obtaining features of the space-time interaction relation graph through a graph convolutional neural network; and identifying events in the video based on the space-time interaction relationship characteristics and the characteristics of the space-time interaction relationship graph. According to the scheme of the invention, the accuracy and efficiency of identifying the event in the video are improved.

The invention discloses a river basin beneficial management practice (BMP) optimization method considering the topological relationship of plots, comprising the following steps: (1) dividing a river basin into multiple plots and building a plot tree; (2) initially generating a population of a certain quantity scale, and determining the BMP corresponding to each plot in individuals based on spatial interaction rules; (3) carrying out non-dominated sorting according to the sediment reduction rate and the cost, and carrying out pairing for cross mutation to generate a next generation population; and (4) getting an optimal solution of BMP of the river basin through constant genetic evolution. According to the invention, population initialization is carried out by making full use of the knowledge of the upstream and downstream relationship of river basin management units (plots) and the spatial interaction between BMPs. Compared with the traditional method in which an initial solution is generated through a random approach, the quality of the solution is improved, the algorithm can converge better, and an optimal solution can be found quickly.