19 results about "Extended object" patented technology

The described technology pertains to a distributed computing environment, specifically implementing a streaming protocol on a scalable object storage service. The technical problem addressed is the high computing resource demand of distributed streaming platforms. The solution involves separating content from location metadata, allowing centralized, scalable storage of metadata. Brokers store content in object storage services based on specific metrics, such as fast read / write times or greater storage capacity. A background platform remaps metadata sequences based on logical timestamps, optimizing data retrieval. This system enhances the efficiency of computing resources by reducing the load on brokers and improving data access speeds. A use can be in cloud computing systems for efficient content streaming and storage management.

A method for supply chain consensus planning using batch computing architecture may include instantiating an instance in a network; based on the instantiation of the instance, writing computational codes of local coordinators from scalable object storage in the network to batch computing devices in the network; (i) executing the computational codes, independently from one another, using the batch computing devices; (ii) based on executing the computational codes, writing first public variables, by the local coordinators independently from one another, from the batch computing devices to the scalable object storage; (iii) identifying, by the instance, based on the first public variables, a first quantity for a time period; iteratively repeating steps (i)-(iii) with updated data from the local coordinators until identifying a convergence on a second quantity, and sending, by the instance, an indication of the convergence to the local coordinators.

The embodiment of the invention discloses an extended target detection method, belongs to the technical field of radar detection, and solves the problem that the detection performance is reduced due to the fact that excessive noise is introduced or target energy is omitted during energy accumulation in an existing extended target detection method. Comprising the following steps: constructing a dynamic planning accumulation detection model of a distance extension target based on an echo matrix; on the basis of the minimum energy loss criterion, balancing parameters are configured for the value function, a double-probability joint constraint optimization model about the target energy and the noise energy is established, and the balancing parameters are determined by solving the optimization model; updating a value function and a state transition matrix of the joint state variable among the plurality of pulses through recursive operation based on the trade-off parameter; and for the value function obtained after updating is completed, extracting a corresponding energy ridge line, constructing an approximate probability model of the variation amplitude of the energy ridge line, and obtaining a target extension length value by solving an optimal variation threshold of the approximate probability model under a preset false alarm probability.

The invention relates to a method for detecting objects in a multidimensional radar spectrum, in which object hypotheses are formed on the basis of the signal distribution (10) in the spectrum, the object hypotheses are checked for plausibility on the basis of a number of predefined criteria and selected reflection points (16, 18) belonging to the plausibility-checked objects are represented in a point cloud, characterised in that the object hypotheses comprise hypotheses for extended objects for which the signal distribution in the spectrum extends over a plurality of adjacent bins (12), and in that, in order to check the plausibility of these objects, the signal distributions (10) in the spectrum are compared with stored model distributions for standard objects.

Method for detecting objects in a multidimensional radar spectrum, in which object hypotheses are formed based on the signal distribution (10) in the spectrum, the object hypotheses are made plausible based on a number of predefined criteria, and selected reflection points (16, 18) belonging to the made plausible objects are represented in a point cloud, characterized in that the object hypotheses include hypotheses for extended objects for which the signal distribution in the spectrum extends over several neighboring bins (12), and that, to make these objects plausible, the signal distributions (10) in the spectrum are compared with stored model distributions for standard objects.

An electronic device and a control method for improving image quality include receiving a first-quality image as an input image; analyzing the input image to obtain image parameter information; detecting an object included in the input image to obtain object information; inputting the input image, the image parameter information, and the object information into a trained neural network model; obtaining a second-quality image having a higher image quality than a first-image quality; and outputting the second-quality image. The method may include generating an extended object map by combining an object map with the image parameter information, where the object map is obtained from the object information. Post-filtering techniques, including multi-band image filtering and applying pixel-wise gain values based on object information, may be performed on the output data from the neural network model to further enhance image quality.

According to one example, a method includes receiving from a client device, a data object for storage within an object storage system, performing a plurality of hashes on the data object tenant profile data associated with the data object to determine one of a plurality of object storage devices to which to store the data object, and autoscaling the object storage device based on active compute jobs associated with data objects stored on the object storage device.

An object store service is operated as a front-end service that stores objects of multiple buckets as objects of multiple back-end object stores. The object store service receives an object to be stored at a particular bucket of the multiple buckets. An object store operation is issued to a particular back-end object store of the multiple of back-end object stores having the particular bucket. The object store operation includes one or more characteristics to be associated with the object stored at the particular bucket.

The invention provides a method for extracting production data from a board graph, which comprises the following steps of: obtaining an object set comprising geometric elements, text labels and symbol labels in a design drawing, and comparing object attributes by traversing drawing data to finish preliminary screening to obtain an expanded object set; screening specific objects in the expanded object set according to a preset condition, and identifying geometric elements, text labels and symbol marks which meet a preset type requirement to form a screened object subset; and extracting detailed information of a target object based on the grouped object set, analyzing a geometrical relationship between the text annotation content and the object to complete extraction, and binding the extracted information with a grouping result to form a structured object description.

The application relates to an object expansion method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring a seed object set and a candidate object set corresponding to the seed object set; performing semantic feature extraction on each positive seed object and each negative seed object in the seed object set, to obtain positive sub-semantic features corresponding to each positive seed object and negative sub-semantic features corresponding to each negative seed object; performing feature fusion processing on the positive sub-semantic features and the negative sub-semantic features, to obtain comprehensive semantic features of the seed object set; and screening expansion objects meeting an expansion condition from the candidate objects based on a result obtained by performing feature matching on the comprehensive semantic features and candidate object features corresponding to each candidate object in the candidate object set. The above method can improve the accuracy of an object expansion result.

The application discloses a method for searching a Veracrypt key in memory data, and has the following steps: S100, searching a mark character Driv in physical memory; S200, judging whether the mark character Driv in the physical memory is found or not, if yes, executing step S300, otherwise, executing step S100; S300, judging whether the found mark character Driv corresponds to a valid Veracrypt drive object or not, if yes, executing step S400, otherwise, executing step S100; S400, judging whether the type of a device object is a device volume or not, if yes, executing step S600, otherwise, executing step S500; S500, addressing a next device object and executing step S400; S600, acquiring an extension object; S700, acquiring an encryption information object; and S800, acquiring the Veracrypt key.

The embodiment of the application discloses a kind of extended target detection methods, belong to radar detection technical field, solve the problem that existing extended target detection method is in energy accumulation or introduces too much noise, or miss target energy, causes detection performance to decline.Problems include, based on echo matrix, the dynamic programming accumulation detection model of range extended target is constructed;Based on minimum energy loss criterion, the trade-off parameter is configured to value function, a double-probability joint constraint optimization model about target energy and noise energy is established to determine the trade-off parameter by solving the optimization model;Based on trade-off parameter, the value function and state transition matrix of joint state variable between multiple pulses are updated by recursive operation;After the value function obtained after updating is completed, the corresponding energy ridge line is extracted, and an approximate probability model of the change amplitude of the energy ridge line is constructed, and the optimal change threshold under the preset false alarm probability is obtained by solving the approximate probability model.

A programming language compiler manages independent and dependent data type objects along with role extensions at run time. Objects of independent and dependent types can be instantiated using either nested or linked creation methods. In the nested case, the independent object is instantiated through a dependent object using a single create statement. In contrast, linked creation involves linking a dependent object to an existing independent object. Compile-time instructions are created to manage role-extension objects in alignment with the independent and dependent objects.

The described technology pertains to a distributed computing environment, specifically implementing a streaming protocol on a scalable object storage service. The technical problem addressed is the high computing resource demand of distributed streaming platforms. The solution involves separating content from location metadata, allowing centralized, scalable storage of metadata. Brokers store content in object storage services based on specific metrics, such as fast read / write times or greater storage capacity. A background platform remaps metadata sequences based on logical timestamps, optimizing data retrieval. This system enhances the efficiency of computing resources by reducing the load on brokers and improving data access speeds. A use can be in cloud computing systems for efficient content streaming and storage management.

The present application belongs to the technical field of extended object tracking, and particularly relates to an extended object tracking method based on a deformed superellipse. The present application uses a deformed superellipse to simulate the shape of an extended object, and the motion state of the extended object is represented by two groups of parameters. The first group is the position coordinates of the center of the superellipse before nonlinear transformation, and the second group is the speed of the center in each direction. In order to describe the measurement generated uniformly on the contour and inside of the deformed superellipse, the present application proposes a new measurement likelihood model, on the basis of which the posterior probability of the measurement can be calculated. The particle filter is used to estimate the shape parameters of the extended object and obtain the measurement information of the first group of motion states, and then the Kalman filter is combined to estimate the second group of parameters of the motion state of the extended object and correct the center coordinates estimated by the particle filter.

Devices, methods, and systems for extensible object modeling using event sourcing and CQRS are described herein. One method includes receiving, via an interface, a request by a client to modify an entity in an object modeling platform, generating a command responsive to receiving the request, and communicating the command to a first event bus, validating a domain of the command and storing an identifier of the command in a write model persistence layer, generating, responsive to validating the domain of the command, an event associated with the command and communicating the event to a second event bus, modifying the entity in the object modeling platform according to the request responsive to validating the domain of the command, and sending, to the client, an indication of a completion of the command from a query handler.