209 results about "Attribute domain" patented technology

A system comprises an encoder configured to compress attribute information for a point cloud and/or a decoder configured to decompress compressed attribute information for the point cloud. Attribute values for at least one starting point are included in a compressed attribute information file and attribute correction values used to correct predicted attribute values are included in the compressed attribute information file. Attribute values are predicted based, at least in part, on attribute values of neighboring points and distances between a particular point for whom an attribute value is being predicted and the neighboring points. The predicted attribute values are compared to attribute values of a point cloud prior to compression to determine attribute correction values. A decoder follows a similar prediction process as an encoder and corrects predicted values using attribute correction values included in a compressed attribute information file.

The invention discloses an automatic classification method of airborne laser radar point cloud data, belonging to the technical field of airborne laser radar. In order to improve the efficiency and the precision of the automatic classification of the point cloud data, the method comprises the steps of: firstly, splitting the point cloud data; secondly, counting the each attribute information of splitting segments; and judging the category of the splitting segments according to the spatial space relationship among the splitting segments and the attribute information of the segments. Compared with the existing automatic classification method based on the points, the classification method based on the segments has higher robustness and precision.

A of automatically classifying alerts issued by intrusion detection sensors (11a, 11b, 11c) of an information security system (1) for producing collated alerts, each alert being defined by a plurality of qualitative attributes (a₁, . . . , a_n) belonging to a plurality of attribute domains (A1, . . . , An). Attributes belonging to each attribute domain are organized into a hierarchical structure. For each alert issued by the intrusion detection sensors (11a, 11b, 11c), a trellis specific to that alert is constructed by generalizing each alert in accordance with each of its attributes and at all the levels of the hierarchical structure. Each specific trellis is iteratively merged into a general trellis. Collated alerts in the general trellis are identified by selecting the alerts that are simultaneously the most pertinent and the most general. The collated alerts are supplied to an output unit (23) of an alert management system (13).

The invention discloses a relation extraction method and system based on a knowledge map. The method includes extracting entity description attributes and a shortest path set for connecting entity pairs from the knowledge map; extracting path structure information of the entity pairs according to the shortest path set; extracting attribute text information of the entity pairs according to the entity description attributes; and extracting a relation between the entity pairs according to the path structure information of the entity pairs and the attribute text information. In specific embodiments of the invention, as the entity description attributes and paths for connecting the entity pairs, which are extracted from the knowledge map, are included, a relation extraction model based on the path structure information of the knowledge map and the entity attribute information is constructed, by extracting the path information and attribute information of the knowledge map, latent semantic information is mined from the knowledge map, the collection of corpus and the annotation of a training set are omitted, so that the cost of constructing data sets is reduced, and the efficiency of relation extraction is improved.

A method of managing alerts issued by intrusion detection sensors (11a, 11b, 11c) of an information security system (1) including an alert management system (13), each alert being defined by an alert identifier and an alert content. Each of the alerts issued by the intrusion detection sensors (11a, 11b, 11c) is associated with a description including a conjunction of valued attributes belonging to attribute domains. The valued attributes belonging to each attribute domain are organized into a taxonomic structure defining generalization relationships between said valued attributes, the plurality of attribute domains thus forming a plurality of taxonomic structures. The description of each of said alerts is completed with sets of values induced by the taxonomic structures on the basis of the valued attributes of said alerts to form complete alerts. The complete alerts are stored in a logic file system (21) to enable them to be consulted.

There is provided an information processing apparatus including a storage unit where function attribute information, user operation information, and recommendation degree information are recorded to be associated with one another, the attribute information indicating an attribute about a function of a predetermined device, the operation information indicating content of a predetermined user operation input to the device, and the degree information indicating a recommendation degree which serves as a reference for outputting, on a priority basis, display for recommending use of the function to a display apparatus, a recommendation degree information updating unit that updates, when a predetermined user operation is input, the degree information to increase the degree associated with function attribute information, and a recommended function determining unit that determines, based on the degree information recorded in the unit, a function with a highest degree as a recommended function.

The present invention relates to information processing apparatus and methods and, more particularly, to information processing apparatus and methods making use of a 3D model (3D shape) prepared by 3D-CAD. For adding attribute information (distances, angles, hole diameters, dimensional tolerances, etc.) to the 3D model, it becomes harder to recognize the shape of the 3D model and the attribute information on a display screen with increase in the added information. Thus each visual axis direction (attribute arrangement plane) is set for the 3D model prepared and attribute information is inputted so as to be opposed to the attribute arrangement plane thus set. When the set attribute arrangement plane is then specified, the opposed attribute information, together with the shape of the 3D model set, is displayed on the display screen. Names of attribute arrangement planes are arranged so as to avoid overlap thereof on the display screen, thereby suppressing deterioration of visibility. Each attribute arrangement plane has a frame and the attribute information is placed within the frame.

The invention discloses an admission control method and an admission control system in a heterogeneous wireless network environment. The method comprises the following steps of: when an access request is received, collecting the multi-domain information of each network and acquiring a target quality of experience (QoE) vector of a user in the access request by using an admission control entity; performing granularity partition on the information of each attribute domain in the multi-domain information according to a predefined performance index to form information granularity vectors of each attribute domain; according to the target QoE vector of a user terminal and a predefined fuzzy membership function, establishing fuzzy membership grade vectors of resource grains in each attribute domain; based on fuzzy evaluation vectors and inference rules of the resource grains in each attribute domain, establishing mapping relationships between the fuzzy evaluation vectors of the resource grains in each attribute domain and a network comprehensive evaluation index so as to acquire a comprehensive evaluation vector; and according to comprehensive evaluation, selecting the network having the highest network grade of service as an access network. Through the method and the system, an effective admission control strategy is designed for the heterogeneous wireless network and the overall performance of the heterogeneous wireless network is improved.

This invention discloses a method for re-transmitting data, in which, when the sending end segments a protocol data unit in terms of the transmission format of the physical layer, it registers the ID of the segment blocks in the segment attribute domain added for the segment blocks, which can identify a block effectively in all the blocks stored in the local end, the receiving end receives the physical frame and carries the segment block ID of the blocks in the physical frame in the receiving confirming information fed back to the sending end and when the sending end decides that the receiving end does not receive the blocks correctly, it picks up the corresponding blocks from the stored blocks and re-transmits them. This invention also discloses a data transmission device.

A vehicle control apparatus includes an attribute information collection unit for collecting attribute information relevant to a plurality of units in a vehicle, an environmental information collection unit for collecting environmental information, a required performance detection unit for detecting a required performance necessary for the vehicle based on the collected environmental information, a controlled target determination unit for determining a unit to be controlled based on the collected attribute information and required performance, and a control unit for controlling the unit by calculating a control variable for the unit.

The invention relates to an SSL/TLS encrypted malicious service discovery method based on certificate characteristic generalization and server change behavior. The method includes 1) collecting certificates of known malicious services; 2) extracting the attributes of the collected certificates, classifying the certificates according to different service types, and extracting a generalization characteristic from attribute domains and attribute relations of various certificates; and 3) based on the extracted generalization characteristic, performing potential malicious service discovery based on the certificate generalization characteristic in a real network environment. If the Step 2) cannot extract the generalization characteristic, the certificate change law is discovered by tracking the certificates of the known malicious servers, thereby discovering malicious services. The SSL/TLS encrypted malicious service discovery method based on certificate characteristic generalization and server change behavior can aim at SSL/TLS encrypted remote control malicious services, reasonable screening is performed in a controllable range, and a set of malicious servers that are discovered is expanded, thereby providing a basis for further deep safety analysis and evidence obtaining.

The invention discloses a seam hole reservoir body detection method and detection device. The detection method includes the steps that multiple effective attributes of a target to be detected are selected; a mathematical expectation value of a known reservoir body is output, an overdetermined equation is established for all the effective attributes in combination with linear combination of attribute values of the effective attributes, and the least square solutions of the overdetermined equation are solved to serve as attribute weighing coefficients of the effective attributes; according to the attribute weighing coefficients, multiple preferred attributes are selected from the multiple effective attributes; according to the attribute weighing coefficients and the preferred attributes, fusion of the preferred attributes is achieved with a linear weighing method. The detection method and detection device solve the technical problem that when information parameters in a single seismic attribute are used for detecting complicated seam hole type reservoir stratums, the detection is not accurate, and the detection method and detection device have the advantage that when a complex reservoir body is detected through multi-attribute information, the reservoir body can be predicted more accurately.

A first inspection functionality is provided to obtain information about a first attribute at a conductor location on an electrical circuit. A second inspection functionality is provided to obtain information about a second attribute at the conductor location. A combination of first attribute information and second attribute information is analyzed to determine an inspection attribute of the conductor at the conductor location. Attribute information may relate to one or more of: reflectance, fluorescence or height.

Inspection attributes including non-destructive (NDE) or personnel examination information related to piping components and connections, individually and in assembly in a finished pipeline or piping installation, are stored in an attribute database with relative location information. Inspection attributes can be entered and updated in the attribute database in the field using a client-server software application and mobile client devices. Components in the field will be serially marked, which will streamline field data entry. Direct field entry of attribute information in the attribute database represents a significant efficiency enhancement over prior methods.

The disclosed information processing method in IMS network comprises: the original attributed domain receives user register request to query the relation between IMSI code and objective attributed domain according to the IMSI code message in the register message, and determining the objective domain name; and the original attributed domain processes the register request message according to the determined result.

An information processing apparatus selects attribute information in a predetermined layer based on a result of measurement of the number of appearances of attribute information included in print data, determines a priority order of the attribute information based on the number of times of references to a reusable object from a page corresponding to a record that includes the selected attribute information, serially selects attribute information based on the determined priority order, generates intermediate data for a page corresponding to the selected attribute information, and generates image data by rasterizing the generated intermediate data.

The embodiment of the invention provides a method and device for determining attribute information of a to-be-identified object, and relates to the technical field of video processing, the method comprises the steps: obtaining identification image information of the to-be-identified object, the to-be-identified object being any one of to-be-identified objects identified from a to-be-processed video shot by a monitoring device; dividing the identification image information of the to-be-identified object into P identification areas according to the to-be-detected attribute category of the to-be-identified object, each identification area corresponding to at least one attribute category; P is greater than or equal to 2; For any one of the P identification areas, inputting the identification area into a corresponding attribute identification model to obtain an attribute value of an attribute category corresponding to the identification area; And according to the attribute value of each attribute category of the at least one piece of identification image information, determining the attribute value of each attribute category of the to-be-identified object. All attribute information of the identification image can be obtained through the input of the identification image, so that the calculation amount is reduced, and the efficiency is improved.

A method for describing a product information model comprises the following steps: (1) classifying the product information to be described into various discipline models according to professional disciplines; (2) defining characteristic parameters of each discipline model as an attribute domain of the discipline model; (3) constructing an uniform access interface of the attribute domain, and normatively packaging a computation procedure related to the discipline model as an algorithmic domain of the discipline model; (4) obtaining input data from the attribute domain by a computation procedure in the algorithmic domain via the uniform access interface for computation, and assigning the computation result to the corresponding parameters in the attribute domain; (5) recording an index of a discipline model related to the discipline model as a relation domain of the discipline model, and when the characteristic parameters in the attribute domain of the discipline model change, transferring the changed characteristic parameters to the attribute domain of the related discipline model according to the index, and starting from he step of (4) for the related discipline model to realize the automatic updating of relevance among the models.

The invention discloses a message classifying method based on rule information entropy. The message classifying method based on the rule information entropy includes: calculating regular stray attribute subsets on an attribute domain with regular classified messages through preprocessing on classification rules, using a regular attribute weight vector to calculate weighting distance afterwards, and then analyzing subspace straying influence factors of regular weighting neighbor domains, and generating frequent matching subsets for matching messages by comparing the subspace straying influence factors with straying factor threshold value. According to the message classifying method based on the rule information entropy, subsequent message matching had the regular frequent matching subsets with no-straying attributes by being compared with prior message matching, matching efficiency is improved, and simultaneously time expenditure for generating the frequent matching subsets through the preprocessing of the classification rules is smaller than time expenditure for matching a whole data stream, and transmission performance of an algorithm used in the message classifying method is higher than transmission performance of the algorithm before the preprocessing.