31 results about "Information distance" patented technology

The invention relates to the technical field of smart power grids and communication, and discloses a power utilization information acquisition method and system based on dual-mode communication, and the method comprises the steps: 1, initializing a configuration network, building the neighborhood of each acquisition terminal node, carrying out the probability distribution parameterization of the channel states of a power line carrier channel and a wireless radio frequency channel, and carrying out the network configuration; according to the probability distribution parameterization, calculating a Fishi information matrix used for quantifying the information distance between different channel states; and step 2, defining a channel state geometrical relationship based on the Fishi information matrix. The probability distribution parameter space of the channel state is constructed into the information geometric manifold, the manifold Kalman filtering algorithm is adopted for state prediction, and compared with an existing channel prediction scheme adopting standard Kalman filtering or a simple time sequence model, the problem that the statistical characteristics of the channel cannot be accurately described due to model mismatch is solved, and the channel prediction accuracy is improved. Therefore, the problems of low prediction precision and incapability of effectively supporting a prospective routing decision are solved.

The invention discloses a radioactive source identification method based on attenuation model inversion, and belongs to the field of radioactive source spatial position and intensity information estimation. Detecting unknown source parameter posteriori estimation results at present; executing a decision-making method based on an attenuation model information distance by using the mobile robot, and inverting that the radioactive source position is located on an extension line of a measurement point when detecting that some of the measurement points pass by the mobile robot conform to the attenuation model; carrying out collinearity measurement point detection to realize collinearity constraint and positioning optimization, and confirming the collinearity through geometric inspection and statistical inspection; and completing the search of the radioactive source until the termination condition of the search task is met. The radioactive source positioning cost is low, the positioning efficiency is high, and the reliability is good.

The invention discloses a carriage height measuring method and device, an electronic product and a computer program product, and belongs to the technical field of data processing. The method comprises the steps that image data and distance data are obtained, the image data comprise a compartment side view and a reference column, a set of marks are arranged on the reference column at intervals, and the marks are used for representing the reference height to determine height information of a compartment; the distance data is the distance between the carriage and the reference column; processing the image data based on the trained machine learning model to obtain an identification result, the identification result including the boundary position of the carriage and the position of the mark; and obtaining height data of the carriage according to the identification result and the distance data. The device comprises a data acquisition module, an identification result obtaining module and a height data obtaining module. According to the technical scheme, the efficiency of carriage height measurement is improved, the automation degree is high, and the repeated labor amount is reduced.

This disclosure provides a picking task processing method, apparatus, equipment, medium, and program product, relating to the field of warehousing and logistics technology. The method includes: binding goods to corresponding storage locations, establishing a mapping relationship, obtaining the current location information of the picking personnel, and based on the current location information and the mapping relationship, querying the target storage location closest to the current location from all storage locations of at least one picking task, starting from the current location information; and generating a target picking task based on the location information of the target storage location. Using storage locations as the basis for picking, supplemented by closer location information, makes it easier for inexperienced picking personnel to find storage locations, resulting in higher picking efficiency and lower picking difficulty.

The present invention relates to the field of image processing technology, and provides a method and system for calibrating the extrinsic parameters of a target-free laser event camera based on information distance. The method comprises: generating a cumulative event image and a laser intensity image, and performing image enhancement processing; performing preliminary optimization on the enhanced cumulative event image and the laser intensity image by minimizing the reprojection error to obtain initial extrinsic parameters; obtaining the probability density function of the laser point cloud intensity, event pixel value and their joint distribution by kernel density estimation, and calculating the normalized information distance based on the information entropy principle; using a rotation and translation extrinsic parameter decoupling optimization method based on sequential quadratic programming, optimizing the initial extrinsic parameters by normalized information distance constraints to obtain the optimal extrinsic parameters. The present invention realizes robust calibration of laser radars and event cameras without the need for targets and manual initial value setting, and can stably, smoothly and accurately achieve extrinsic parameter optimization solutions.

According to the state reminding device applied to the game machine and the game machine provided by the utility model, the user state recognition module is used for acquiring and recognizing the pose information of a user in the game process and the distance information between the body of the user and the display screen of the game machine; then a comparison analysis module compares the pose information of the user with the standard pose information and compares the distance information with a safe distance value, a comparison difference value is obtained, and when the comparison difference value is larger than a preset difference threshold value, an early warning reminding module sends out an early warning signal; namely, the pose information of the user in the game process and the distance information between the body and the game machine are obtained and recognized in real time, the standard pose information and the safe distance value are compared, and the early warning signal is sent out when the pose of the user is poor or the distance between the user and the game machine is too small, so that the situation that the user plays a game in a poor pose or close range is avoided. Therefore, the eyesight and body health of the user are protected as much as possible in the game process.

Methods and systems for dynamically selecting a link adaptation policy, LAP. In some embodiments, the method includes generating a machine learning, ML, model, wherein generating the ML model comprises providing training data to an ML algorithm. The method further includes using channel quality information, additional information, and the ML model to select a LAP from a set of predefined LAPs. In some embodiments, the additional information comprises: neighbor cell information about a second cell served by a second TRP, distance information indicating a distance between a UE and a first TRP, and / or gain information indicating radio propagation gain between the UE and the serving node. The method further includes the first TRP transmitting second data to the UE using the selected LAP.

The embodiment of the invention discloses an information processing method, device and equipment, and the method comprises the steps: obtaining distance information; the distance information represents the distance between the first component and the second component, the first component is used for collecting a first audio, the second component is used for outputting a second audio, and the first audio at least comprises part of the second audio; processing the first audio based on the distance information to obtain a third audio; the third audio does not include the second audio or includes a part of the second audio, and the signal strength of the part of the second audio included in the third audio is lower than that of the part of the second audio included in the first audio.

The present invention belongs to the technical field of image processing. A method, system, product, medium and computer device for abrasive particle tracking are provided. The current frame image is preprocessed to highlight the abrasive particle region, the abrasive particle contour of the preprocessed current frame image is extracted to generate an abrasive particle detection result. According to the abrasive particle detection result, the next frame position of each abrasive particle is predicted based on the unscented Kalman filter to determine the prediction trajectory; based on the weighted sum of the position information distance and the morphological feature distance between the current frame position of the abrasive particle and the position of the prediction trajectory, the current frame position of the abrasive particle is matched with the prediction trajectory; when the matching is successful, the prediction trajectory with successful matching is updated, and when the matching is not successful, a new prediction trajectory is created and the matching continues. The present invention combines a multi-feature matching strategy, a non-linear motion trajectory prediction measurement based on the unscented Kalman filter, and a parallelized patch-aware attention mechanism, improving the detection and tracking accuracy of abrasive particle targets.

The invention belongs to the technical field of image processing. The invention provides an abrasive particle tracking method and system, a product, a medium and computer equipment, and the method comprises the steps: preprocessing a current frame image to highlight an abrasive particle region, extracting an abrasive particle contour of the preprocessed current frame image, generating an abrasive particle detection result, and predicting the next frame position of each abrasive particle based on unscented Kalman filtering according to the abrasive particle detection result. Determining a prediction track; based on the current frame position of the abrasive particles and the weighted sum of the position information distance and the morphological feature distance of the predicted trajectory, matching the current frame position of the abrasive particles with the predicted trajectory; and when the matching is successful, updating the successfully matched prediction trajectory, and when the matching is not successful, creating a new prediction trajectory and continuing the matching. According to the invention, by combining a multi-feature matching strategy, non-linear motion trajectory prediction measurement based on unscented Kalman filtering and a parallelized patch perception attention mechanism, the detection and tracking precision of the abrasive particle target is improved.

The invention relates to a radar camera external parameter calibration method and system based on a normalized information distance, and the method comprises the steps: U1, enabling a vehicle to run on a road, obtaining the image data information of the road in real time based on a vehicle-mounted camera, obtaining the data information of the point cloud of the road in real time based on a vehicle-mounted laser radar, and carrying out the data synchronization processing, the image data information and the point cloud data information of the road after synchronization processing are obtained; and U2, based on the image data information of the road after synchronization processing, adopting a roadside feature recognition algorithm improved based on the yov5 to recognize the image of the vehicle running to the roundabout area, and obtaining the data information of the image of the roundabout area. According to the invention, external parameter calibration can be carried out under the condition of no visual field crossing or small visual field crossing, a specially-made calibration target position is not needed, the cost is reduced, and the calibration efficiency is improved.

The present technology relates to an encoding device and method, a decoding device and method, and a program capable of realizing sense-of-distance control based on intention of a content creator.The encoding device includes: an object encoding unit that encodes audio data of an object; a metadata encoding unit that encodes metadata including position information of the object; a sense-of-distance control information determination unit that determines sense-of-distance control information for sense-of-distance control processing to be performed on the audio data; a sense-of-distance control information encoding unit that encodes the sense-of-distance control information; and a multiplexer that multiplexes the coded audio data, the coded metadata, and the coded sense-of-distance control information to generate coded data. The present technology can be applied to a content reproduction system.

A distance calculation system and method for clustering algorithms are proposed. Based on the information distance theory with Coriolis complexity, a unified method for information distance calculation, lossless compressed distance calculation, and lossy compressed distance calculation is designed, and a compressed distance calculation system under lossy conditions is formed. This solves the problem of lossy compressed distance calculation for continuous data such as images and videos, and forms a complete and unified compressed distance calculation method and system applicable to any data type.

The invention relates to a geometric evaluation label arrangement method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the steps of obtaining available space information of a plurality of selectable edges of a window view of measurement software, distances between at least one target feature element in the window view and the selectable edges and size information of to-be-arranged labels corresponding to the target feature element; according to the available space information, the distance and the size information, determining an association weight between a to-be-arranged label corresponding to the target feature element and each selectable edge; according to the association weight, associating the to-be-arranged tag corresponding to the at least one target feature element to the corresponding target edge; and for each selectable edge, adjusting the layout of the associated labels on the selectable edge according to the size information of the associated labels of the selectable edge and the crossing condition of the leads to obtain a window view with the labels arranged completely. By adopting the method, the label arrangement efficiency and the visual effect of the automatic measuring instrument can be improved.

The embodiment of the present application is applied to the field of artificial intelligence, and provides an image processing method and electronic device. The image processing method is applied to the electronic device, including: obtaining a first object image through a first camera of the electronic device, the first object image records a target object, and the first camera is a camera with a fixed focus distance; obtaining distance information of the target object, the distance information is used to indicate the distance between the target object and the first camera; determining the target image based on the distance information and the first object image through a deblurring model, and the deblurring model can be used to deblur any image based on the distance information of the object in any image. Based on the technical method of the present application, the clarity of the target image can be improved.

The present invention relates to a target classification method based on dynamic multi-feature data fusion, belonging to the field of radar signal processing technology. The method comprises the following steps: 1) radar collects echo data of the target and pre-processes the echo data, and constructs a training data set using the signal's time-frequency information, distance period information, and distance period data; 2) constructs a dynamic multi-feature fusion network target classification model, including a global feature extraction module, a local feature extraction module, a dynamic feature extraction module, and a feature fusion module; 3) inputs the training data set to iteratively optimize and train the dynamic multi-feature fusion network to obtain optimal network parameters; 4) pre-processes the real-time radar echo signal, inputs the trained dynamic multi-feature fusion network for testing, and completes target classification. The present invention can simultaneously extract features of the radar signal's Doppler information and dynamic distance amplitude information, thereby improving the accuracy of target classification and meeting practical application requirements.

The invention relates to a codebook determination method and device and a storage medium, and the method comprises the steps: receiving first configuration information which is used for configuring at least one of first angle domain information, first distance domain information or antenna array parameters; and generating a codebook set based on the first configuration information, wherein the codebook set is used for data transmission. In the above embodiment, the problem of generating the codebook based on the configuration information of the network is solved, and the generated codebook is ensured to be related to the angle domain information, the distance domain information or the antenna array parameters, so that data transmission can be carried out between the terminal and the network equipment based on the codebook set, and the transmission reliability is ensured.

An object detector reads distance measurement information and determines any presence of at least a portion of an object within a target area between the object detector and a background surface. The determination of the presence is based on distance measurement information. The distance measurement information is compared against a lower distance threshold and an upper distance threshold, where the lower distance threshold represents a distance between the object detector and the background surface, less a subtracted margin; and the upper distance threshold representing a distance between the object detector and a point beyond a distance of the background surface by an added margin. Satisfaction of either distance threshold is indicative of the presence of at least a portion of the object within the target area.

The present technology relates to an encoding apparatus and method, a decoding apparatus and method, and a program capable of realizing distance sensing control based on an intention of a content creator. The encoding apparatus includes an object encoding unit that encodes audio data of an object; a metadata encoding unit that encodes metadata including position information of the object; a distance sensing control information determination unit that determines distance sensing control information for distance sensing control of the audio data; a distance sensing control information encoding unit that encodes the distance sensing control information; and a multiplexing unit that multiplexes the encoded audio data, the encoded metadata, and the encoded distance sensing control information and generates encoded data. The present technology is applicable to a content reproduction system.

This invention provides a control system and method, electronic device, and storage medium for a processing apparatus. The system includes: a data receiving module for receiving distance information of a workpiece in real time, the distance information representing the distance between the processing head of the processing apparatus and the workpiece in a first direction; a data storage module for storing the distance information; an analysis module for determining whether two adjacent data points in the distance information meet preset requirements based on the variation amplitude of the data points in the distance information; if two adjacent data points meet the preset requirements, identifying the two adjacent data points as a set of abnormal data points; and determining whether the area on the workpiece corresponding to the two sets of adjacent abnormal data points is an abnormal area based on preset characteristic parameters of the abnormal data points; and a data updating module for replacing the data points corresponding to the abnormal areas stored in the data storage module with normal data points based on the analysis results. This can eliminate abnormal abrupt changes.

The present technology relates to an encoding device and method, a decoding device and method, and a program capable of realizing sense-of-distance control based on intention of a content creator.The encoding device includes: an object encoding unit that encodes audio data of an object; a metadata encoding unit that encodes metadata including position information of the object; a sense-of-distance control information determination unit that determines sense-of-distance control information for sense-of-distance control processing to be performed on the audio data; a sense-of-distance control information encoding unit that encodes the sense-of-distance control information; and a multiplexer that multiplexes the coded audio data, the coded metadata, and the coded sense-of-distance control information to generate coded data. The present technology can be applied to a content reproduction system.

Wireless communication device (3, 103, 203), comprising: a wireless communication means (13, 133, 213) for receiving data transmitted by direct wireless communication from at least one wireless transmitter (2, 102, 203), wherein the at least one wireless transmitter (2, 102, 203) transmits data wirelessly; a detection device (21(S50), 22, 141(S340), 142, 221(S1050), 222) for detecting a wireless reception state in the wireless communication device; a reference information storage means (23, 143, 223) for storing relation reference information that establishes two or more relations between (i) the wireless receive state in the wireless communication means for receiving data transmitted by the wireless transmitter, and (ii) location information regarding a location of the wireless transmitter; a distance measuring device (21(S60), 22, 141(S360), 142, 221(S1070), 222) for measuring relative distance information regarding a relative distance between the wireless transmitter and the wireless communication device; a first generating means (21(S70), 22, 141(S360), 142, 221(S1070), 222) for generating first relation information that specifies a relation between several of the wireless receive states that are detected by the detection means and several of the relative distance information that is measured by the distance measuring means; a relation determination tool (21(S80), 22, 141(S370), 142, 221(S1100), 222) for determining a relation between the location information and the relative distance information by comparing the relation reference information and the first relation information; and a position determination means (21(S90, S100), 22, 141(S380, S390), 142, 221(S1110), 222) for determining a present location of the wireless communication device on the basis of (a) the relation between the location information and the relative distance information determined by the relation determination means, and (b) a present wireless reception state in the wireless communication means, which is detected by the detection means.

The utility model is suitable for the technical field of vehicle detection, and provides a calibration system based on a range finder and a four-wheel aligner, the calibration system based on the range finder comprises a first device and a second device which are used in pairs, and the first device and the second device are used for being arranged on one side, provided with a to-be-detected wheel, of a to-be-detected vehicle. The first equipment comprises a range finder, and the second equipment comprises a calibration part; the range finder of the first equipment is used for acquiring distance information between the range finder and the calibration part of the second equipment on the opposite side; and the control device is connected with the range finder and is used for receiving the distance information from the range finder and processing the distance information. According to the calibration system based on the range finder, the distance information between the calibration system and the second equipment on the opposite side is obtained through the range finder, and the distance information reflects the distance relation and the relative position relation between the first equipment and the second equipment; and the detection accuracy can be ensured.

The invention provides a living body monitoring information processing method and system based on an implantable medical regulation and control instrument, and relates to the field of data processing. Performing distance calculation on the abnormal data array representation of the reference living body monitoring information and the monitoring information array representation of the living body monitoring information to be processed based on the abnormal data distribution result of the reference living body monitoring information to obtain a similarity score; and adjusting a preset abnormal data identification model through the distribution position reasoning mark of the abnormal data to obtain a convergence abnormal data identification model. Distribution position reasoning marks of abnormal data in the to-be-processed living body monitoring information are obtained through distance calculation, so that distribution positions of a small amount of the to-be-processed living body monitoring information can be obtained based on reference living body monitoring information reasoning marks annotated by a small amount of experts, and a large number of prior knowledge samples can be obtained only through a small amount of pre-annotated samples. And completing sample augmentation of model training. In addition, the accuracy of marking the distribution position of the abnormal data by the convergence abnormal data identification model can be improved.

This invention discloses a method and system for early warning of abnormal operating conditions in open-pit mine shovel and transportation systems, belonging to the field of mine informatization and intelligent monitoring technology. The method includes the following steps: acquiring multi-source data at a preset frequency to extract characteristic data from logistics transportation, equipment operating conditions, and production operation subsystems; constructing a multimodal probability distribution model for the characteristic data of each subsystem to fit historical healthy distributions, determining potential operating state parameters, and determining a posterior probability vector based on current data; using the historical average posterior probability as a benchmark, measuring the information distance using relative entropy to obtain the deviation; within a sliding window, weighting and fusing the deviation using the entropy weighting method according to the degree of variation to obtain the total system entropy; triggering an early warning when the rate of change of the total entropy exceeds the historical fluctuation extreme value and continues to exceed the tolerance time. This invention can capture probability drift during the fault latency period to achieve early warning, is noise-resistant and robust, interpretable, avoids false-order missed reports, and guides early intervention.

A method according to an embodiment is provided. The method comprises receiving from at least one device information on a movement of the at least one device, and receiving from at least one device channel state information obtained by the at least one device at a plurality of positions (110). Moreover, the method comprises determining from the movement information distance information indicating a plurality of distances, wherein each of the plurality of distances indicates a distance between two of the plurality of positions, where the at least one device has obtained the channel state information (120). Furthermore, the method comprises training an artificial intelligence system using the channel state information obtained at the plurality of positions and using the distance information, so that the artificial intelligence system returns a position value as output of the artificial intelligence system when receiving channel state information as input of the artificial intelligence system (130).

The application belongs to the technical field of structural health monitoring and vibration signal processing, and discloses a pipeline leakage vibration signal denoising method based on parameter self-information, wherein an SAA algorithm is improved to form an ASSA, and a mode decomposition number and a penalty factor in VMD-SI are optimized; then, a normalized self-information distance between an intrinsic mode function and an original signal is calculated to distinguish effective IMF components and ineffective IMF components; and the effective IMF components are used to reconstruct a filtered signal; the method can improve global optimization ability through the ASSA algorithm, avoid local optimal stagnation caused by a traditional algorithm, eliminate irregular interference of vibration signals caused by complex environments of pipelines, avoid mode aliasing and excessive decomposition in traditional methods, better adapt to characteristics of non-stationary signals, improve a signal noise ratio, and thus more accurately extract leakage characteristics.

The application provides a kind of based on implantable medical control instrument living body monitoring information processing method and system, it is related to data processing field, based on the abnormal data distribution result of reference living body monitoring information to the abnormal data array of reference living body monitoring information Distance calculation is carried out to the array representation of monitoring information of to-be-processed living body monitoring information, similarity score is obtained, the distribution position inference mark of abnormal data is obtained by the distribution position inference mark of abnormal data, and the preset abnormal data recognition model is adjusted to obtain the convergence abnormal data recognition model.The distribution position inference mark of abnormal data in to-be-processed living body monitoring information is obtained by distance calculation, so as to obtain the distribution position of a small amount of to-be-processed living body monitoring information based on a small amount of expert annotated reference living body monitoring information inference mark, a large number of prior knowledge samples can be obtained only with a small amount of prior annotation samples, and sample augmentation is completed.Model training.In addition, the precision of the convergence abnormal data recognition model for marking the distribution position of abnormal data can be improved.

To provide a skeleton estimation device capable of accurately estimating a skeleton of an object even when part of the object is hidden in a shadow of an obstacle.SOLUTION: A skeleton estimation device includes: image acquisition means that acquires image information including an object and an obstacle; distance acquisition means that acquires distance information of the object and the obstacle; skeleton point estimation means that estimates, on the basis of the image information of the object and the obstacle, a position of each skeleton point of the object; skeleton point discrimination means that discriminates, on the basis of image information of the object and the obstacle, the estimated skeleton points into hidden skeleton points hidden by the obstacle and non-hidden skeleton points not hidden by the obstacle; distance estimation means that estimates distance information of the discriminated hidden skeleton points; and skeleton estimation means that estimates the skeleton of the object by acquiring distance information corresponding to the discriminated non-hidden skeleton points from the acquired distance information and integrating distance information of the acquired non-hidden skeleton points with the distance information of the estimated hidden skeleton points.SELECTED DRAWING: Figure 2

1. Name of the product of this design: Filtering function module for a graphical user interface for filtering map information ranges of electronic devices. 2. Purpose of this design product: an electronic device. 3. The key design features of this design product lie in the part within the graphical user interface; the portion outside the dotted line is the portion for which protection is sought. 4. The picture or photo that best illustrates the key points of the design: Design 3 main view. 5. Designate Design 3 as the base design. 6. Purpose of the Graphical User Interface: The overall appearance of the interface is designed for map navigation, exploring surrounding scenes, and displaying map filter information distance ranges and time filter controls. The local appearance of the interface is designed for exploring surrounding scenes, filtering information categories, and setting a time range. It uses a certain location on the map as a reference to display the distance range that can be reached under those conditions, and the location of the scene information of that category is displayed within the range circle. 7. Human-computer interaction method of the graphical user interface: In the main view of Design 1, users can drag the circular control in the time filter control in the interface to switch the range circle of the reachable distance in the map; they can also click the category label control at the bottom of the interface to switch the filtered scene information. The human-computer interaction methods of Design 2 to Design 4 are the same as Design 1. In the Design 5 main view, when the user drags the circular control within the time filter control in the interface, the time range is switched, the background map scale and the range circle of the reachable distance change (the scene information within the circle changes accordingly), presenting the interface change from the Design 5 main view to the Design 5 interface change status diagram. The human-computer interaction method of Design 6 is the same as that of Design 5. In each design view, the background of the interface is a map screen, and the irregular dotted area circled on the upper layer of the map is the content requiring protection.