12 results about "Core object" patented technology

The invention relates to the technical field of databases, in particular to a database increment DDL synchronization method and device based on CDC and extension event fusion. According to the method, through fusion of the CDC and the extension event, the limitation that the traditional CDC can only capture limited DDL operation is effectively broken through, full-type DDL capture such as creation, deletion and structure modification of core objects such as tables and indexes is achieved in combination with the extension event, dependence on third-party tools and manual operation is not needed, and the implementation complexity and the error risk are greatly reduced.

The embodiment of the invention provides a hot upgrade method of an operating system, a kernel module, the operating system and electronic equipment. A kernel module of the operating system comprises a shell module and a first kernel module, the shell module comprises an external interface function of the kernel module, the first kernel module comprises a function implementation function corresponding to the external interface function, the shell module further comprises a middle layer, and the middle layer is used for forwarding a calling instruction for the external interface function to the first kernel module. The first core module is a current effective core module in the core module; the hot upgrading method of the kernel module comprises the steps that a second kernel module is inserted into a kernel and registered to a middle layer, and the second kernel module is an upgrading version of a first kernel module; the data address of the first core module is stored in a core object of the middle layer, and then the data address in the core object is read into the second core module; and modifying the core module which takes effect at present in the core module from the first core module to the second core module through the middle layer.

Threat detection systems and methods in which feature syntax language (FSL) statements are used to define functions that generate features corresponding to detected text within textual non-attachment, non-URL input data. Generated features are aggregated in a core object, and classification rules are applied to the core object to determine a threat classification and theme associated with the input data. Using FSL statements and classification rules enable the system to rapidly generate thematic threat classifications identifying socially engineered attacks. A user interface enables users to rapidly update the FSL statements that define the functions used to generate the features, as well as the threat classification rules that are applied to the features in the core object to classify the input data. The modified statements and rules can be immediately used by the system.

The present invention discloses a method for real-time calculation and display of entity bounding box data in a game, the method comprising: writing a core function, intercepting the call of Directx3D graphics API function and system function, obtaining a core object function, calling a game core function function, and compiling to generate a dll database file mydll.dll; modifying the DirectX3D runtime dynamic link library file, using the dll database file to load a self-written mydll.dll file, and injecting it into the game process; in the running process of the game, intercepting and recording the call of Directx3D graphics API function and system function through mydll.dll, and obtaining game data; based on each drawcall of the current frame GPU, separating the currently drawn model object according to its type definition, mapping different types of entities to the world coordinate system, and obtaining the world coordinates of the model vertices and key points; drawing and rendering a bounding box according to the bounding box data of the game, refreshing each frame, and drawing in real time. The present invention solves the problems of low efficiency and poor precision of existing image annotation.

The application provides a privacy protection density clustering method, an electronic device and a storage medium. The method comprises the following steps: sending a plurality of ciphertext data to two cloud servers, so that each cloud server determines the object type of each received ciphertext data, the object type comprising a core object or a boundary object, and based on a privacy protection DBSCAN algorithm, each core object and a target boundary object in the neighborhood range of the core object are grouped into a temporary cluster, the target boundary object only belongs to one temporary cluster, the connection relationship between each temporary cluster and other temporary clusters is determined, and the connection relationship is fed back; according to the connection relationship fed back by the two cloud servers, the connected temporary clusters are merged, and a clustering result is obtained. The application can improve privacy security, and improve clustering efficiency and clustering quality.

The application discloses a data outlier detection method and a storage medium. The object radius epsilon and the minimum point value MinPts are determined. All core objects are obtained by screening according to the object radius epsilon and the minimum point value MinPts. The core object set is obtained by grouping all the core objects. The distance between the sample point and each core object in the core object set is obtained. The distances between the sample point and each core object in the core object set are sorted in ascending order, and the core objects corresponding to the first K distances are selected as the Kth core neighborhood. The Kth core reachable distance of the sample point in the Kth core neighborhood is calculated according to the reachable distance of the Kth core neighborhood. The core local reachable density of the sample point is calculated based on the Kth core reachable distance of the sample point in the Kth core neighborhood. The core local anomaly factor of the sample point is calculated based on the core local reachable density of the sample point. The core local anomaly factor is sorted, and the sample point meeting the set condition is taken as an outlier.

A CPU core binding method and system for cloud-native applications, which relates to the field of electrical digital data processing. It reads the memory architecture region identifier, generates processor core objects, stores the processor core objects in a container cluster to obtain a processor core object pool, updates the affected processor core objects in the processor core object pool according to hardware changes, selects a set of processor cores that meet the processor demand configuration from the processor core object pool and uses the set of processor cores as a container group, removes the selected set of processor cores from the processor core object pool to obtain a new container group, creates independent resource group configurations for each thread in the new container group, and binds each thread to the processor core with the corresponding number in the new container group according to the correspondence between the threads and the processor core numbers in the processor demand configuration. In this method, the present application improves the performance and stability of cloud-native applications.

The present disclosure provides a mapping method, comprising: mapping a neural network to a plurality of core object clusters, each of the core object clusters comprising at least one core object, each of the core object clusters corresponding to a computing node in the neural network, each of the core objects describing configuration information of a processing core of a many-core system; and mapping the plurality of core object clusters to the many-core system. The present disclosure also provides a mapping apparatus, a many-core system, and a computer readable medium.

The embodiment of the invention discloses a core object determination method and device, equipment and a storage medium, and the method comprises the steps: determining a plurality of target objects, and dividing the plurality of target objects to obtain at least one target community; for each target community, determining a first evaluation parameter and a second evaluation parameter of each target object in the target community, and determining a target evaluation parameter according to the first evaluation parameter and the second evaluation parameter; wherein the first evaluation parameter is used for representing the importance of the target object in the target community, and the second evaluation parameter is used for representing the intermediary centrality of the target object in the target community; and determining at least one core object in the target community according to the target evaluation parameter of the target object in the target community. According to the technical scheme, the problem that the accuracy of the mining result is insufficient due to the fact that the core member mining angle is single is solved, core member mining can be conducted on the basis of the importance and the intermediary centrality, and the accuracy of the mining result is improved.