39 results about "Object domain" patented technology

The invention relates to a domain-based access control method and system. The domain-based access control method comprises the following steps of: setting a domain label of each application and establishing a domain-based access control policy library on subject and object of each application in a system through aiming at different application domains according to requirements of a user on protection of the system; capturing an access request of the subject on the object in the system; submitting the access request to the domain-based access control policy library to perform domain label detection; and judging whether a current operation is allowed or not, accepting the current access request if the current operation is allowed, and refusing the current access request if the current operation is not allowed. The domain-based access control system comprises a capturing filtering module, an access control judging module, a domain database module, a domain information managing module and a safety journal querying module, wherein the capturing filtering module is used for capturing and filtering data access requests of application programs in the system, the access control judging module is used for judging whether a subject domain label and an object domain label are same or not and determining whether an access action is allowed or not, the domain database module is used for saving information of the access control policy library, the domain information managing module is used for modifying the information of the access control policy library and querying safety journals, and the safety journal querying module is used for storing dangerous operation information disobeying an access control policy. According to the domain-based access control method and system, disclosed by the invention, the application program can be effectively protected, and the safety of the application program and an operating system can be improved.

The invention discloses a binocular vision positioning method and system in a dynamic environment applied to the technical field of robot positioning. The method comprises the following steps of extracting image feature points, distinguishing the feature points on the moving object points and the feature points on the non-moving object points in a mode of clustering the feature points. The featurepoints on the moving object can be effectively eliminated so that elimination of feature points on a static dynamic attribute object is avoided, more available feature points are reserved, and poseswhich are closest to IMU data and are estimated based on different feature point sets are screened through an inter-frame pose transformation matrix obtained through an IMU pre-integration algorithm,so that some external points such as feature points belonging to a moving object are effectively eliminated. According to the poses and depth estimation method integrating monocular motion vision andbinocular stereoscopic vision, the estimation precision can be effectively improved.

The invention discloses a projection pursuit hyperspectral image segmentation method based on transfer learning, belonging to the technical field of image processing. The technical key points are as follows: the multiband characteristic of the hyperspectral image data is utilized to regard each wave band as a gray level image, each image is analyzed and researched; the characteristic that the images of different wave bands are similar but not the same to introduce transfer learning in the projection pursuit clustering algorithm; and a ground object marked graph is used to obtain the label of the source domain image data, and the known label knowledge is utilized to guide the image data without label in the object domain and obtain the optimal projection direction and the optimal subspace, thus increasing the segmenting precision. The method has the advantage that the priori knowledge is utilized to increase the segmenting precision, and can be used for military reconnaissance and in the civil and industrial fields.

A system includes a processor with stored instructions for generating a Cartesian mesh model of a bounded or unbounded object domain. The model includes active, inactive and boundary nodes which encompass the domain. The processor effects of discretizing a partial differential equation based on a stencil associated with each active node in the mesh by (i) selecting an active node, (ii) identifying the stencil associated with the selected node, (iii) mapping the stencil from the physical domain to a generic uniform computational stencil, (iv) applying finite difference formulas on the computational stencil to approximate the partial differential equation by a finite difference equation, (v) solving the finite difference equation to obtain an approximate value for the solution, and thereafter (vi) checking the iteration process for convergence. If the solution has not converged, the system repeats the aforementioned steps, or terminates the iteration process if the solution has converged, and outputs to a user the calculated data file.

The invention relates to an input verification method, which comprises the following steps: A, respectively setting corresponding Java annotations according to different verification types of verification fields in a Java system, and enabling the Java annotations to comprise field attributes and error information corresponding to the verification types; and B, creating a verification method, wherein the verification method comprises the following steps: acquiring a specific value input to a verification field by a user and a Java annotation of the verification field through a Java object domain mechanism; and verifying the specific value according to the Java annotation of the verification field, and if the specific value does not pass the verification, throwing out an exception, wherein corresponding error information in the Java annotation is contained in the exception. According to the input verification method, the development cost and the operation and maintenance cost are greatlyreduced; developers do not need to repeatedly compile tedious verification logic codes; the developers and the operation and maintenance personnel do not need to learn complex specifications; a unified verification mode for various verification fields is achieved; and unified specifications of the codes are guaranteed.

A method, an article of manufacture, and a system for designing a mask. The method for designing a mask is implemented by a computer device having a memory, a processor device communicatively coupled to the memory, and a module configured to carry out the method including the steps of: generating an optical domain representation from a design pattern and an imaging light; and optimizing the optical domain representation under a constraint that values of negative excursions at predetermined evaluation points must be greater than or equal to predetermined negative threshold values assigned to the predetermined evaluation points; where: the optical domain representation is a variable representation of a wavefront; the imaging light is light that is transmitted through the mask; the negative excursions are in an object domain representation of the optical domain representation; and the predetermined evaluation points are in the object domain representation.

Each embodiment mode of the invention provides a multi-view behavior identification method based on largest-interval meaning clustering. The method comprises steps that: global profile flow characteristics of each frame of each motion video sample are firstly extracted, a words-bag model is utilized to acquire characteristic expression vectors of the corresponding motion video sample frames; dimensionality reduction for the characteristic expression vectors is carried out by utilizing multi-time random mapping; the characteristic expression vectors which are acquired through dimensionality reduction at each random mapping are clustered through a largest-interval meaning clustering method; source object samples of all the samples are determined by utilizing a trained model, and separation characteristics of the source samples are directly taken as separation characteristics of an object domain; the separation characteristics of an object domain are taken as input, and a classification model is trained by utilizing a support vector machine; separation characteristics of a test sample of the object domain are acquired by utilizing the classification model of the support vector machine, and classification is carried out by utilizing a nearest neighbor classifier.

The invention provides an adaptive extension method and device of a data object, and a storage medium, and the method comprises the steps: a matching step: obtaining an adaptive data object through matching based on a current business scene of a user, and the data object comprises a key attribute and a description attribute; an extension step of performing adaptive extension on the key attributesand the description attributes from a public extension attribute component library based on the business scene and the category of the data object; and a display step: loading data contents from the object domain based on the description attributes after the adaptive expansion of the business scene and the data object pair, and assembling the complete data object based on the data contents loadedfrom the object domain, and selecting a corresponding template from a template library based on the business scene and the data object to display the data object loaded with the data content. According to the method, the expansibility of the data object is improved, the programming development difficulty is reduced, the utilization efficiency of the template is improved, the visibility of documentor report display is enhanced, and the user experience is improved.