12 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.

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.

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 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.

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.

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.

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.