221results about How to "Accurate association" patented technology

A electronic medical record keeping system includes a central data collection and data storage server linked via a network to different health data input sources each of which provides controlled unidirectional input data via a first encryption key code for individual patients thereby enabling assimilation of data in the central server uniquely for each patient segregated from all other patient data, and which further includes a second encryption key code for the patient correlated with the first key code to enable (1) initiation of a set of tool bar screens at a terminal accessed by the patient (or doctor if authorized) and (2) bidirectional network connection to the unique patient data stored in the remote server.

An object position area (82a) is calculated according to a position in the space of a detected truck (70). A template (80a) corresponding to the object position area (82a) recorded at the previous time is then called. The template (80a) is moved to a position on a reference image Ib where the similarity is highest. Overlap rate (R(t-1)⊥Rt) of the object position area (82a) and the template (80a) is calculated. A decision is made whether the object is identical to that detected in the past by using the overlap rate.

One aspect relates to a social bookmarking system that has the capability of displaying advertisements based on user input provided to the system. Advertisements displayed to the user may be determined based on one or more classifications provided by the social bookmarking system and selected by the user. Further, classification information that is created, used, or otherwise associated with the particular user may be used to determine ads displayed to that user. Another aspect relates to a system for collecting user classifications of content and using such classifications to match ads to appropriate content. In such a manner, more appropriate associations between ads and content may be made. Such classifications may be collected, for example, using a social bookmarking system. Further, advertisers may subscribe to classifications created in the social bookmarking system, allowing their advertisements to be displayed to users that perform actions with the subscribed classification. Also, advertisers may be permitted to submit their own classification information to the social bookmarking system.

One aspect relates to a system for collecting user classifications of content and using such classifications to match ads to appropriate content. In such a manner, more appropriate associations between ads and content may be made. Such classifications may be collected, for example, using a social bookmarking system.

A face image processing apparatus selects feature points and feature for identifying a person through statistical learning. The apparatus includes input means for inputting a face image detected by arbitrary face detection means, face parts detection means for detecting the positions of face parts in several locations from the input face image, face pose estimation means for estimating face pose based on the detected positions of face parts, feature point position correcting means for correcting the position of each feature point used for identifying the person based on the result of estimation of face pose by the face pose estimation means, and face identifying means for identifying the person by calculating a feature of the input face image at each feature point after position correction is performed by the feature point position correcting means and checking the feature against a feature of a registered face.

Techniques for provisioning access data may include receiving, by a first application installed on a communication device, user input selecting an account to provision to a second application installed on the communication device. The first application may invoke the second application and send a session identifier (ID) to the second application. The second application may send a user ID associated with the second application, a device ID, and the session ID to the first application. The first application may then generate encrypted provisioning request data and send the encrypted provisioning request data to the second application. The second application may send the encrypted provisioning request data to a remote server computer to request access data that can be used to access a resource. The second application may receive the access data provided by the remote server computer based on validation of the encrypted provisioning request data.

A guaranteed distributed failure notification method is described, wherein a failure notification (FN) facility allows applications using the facility to create FN groups to which the application associates an application state. The application registers failure handlers with the FN facility on nodes in the FN group; each failure handler is associated with a specific FN group. When, on a given node, the FN facility learns of a failure in the FN group, the facility executes the associated failure handler on that node. System failures detected by the application are signaled to other FN group members using the facility. The facility detects system failures that occur in an overlay network on which the facility is implemented, and signals a failure notification to the other FN group members.

A system and method for describing local area geo-reference features and landmarks in providing high resolution asset location information. Geo-image data is integrated to a mapping application and geo-reference data to add more detailed scale levels to the map. The geo-image data includes geo-images and its features to provide more detailed references to the asset and support the larger references of the geo-reference data. To describe a geo-reference landmark, an original landmark representation is selected with a center point and a radius. The asset location points located at the original landmark representation are compiled along with the asset location points generated by events occurring at the landmark to create a point set. The point set replaces the original landmark representation when a prescribed number of points is reached. The asset location points that are within a specified distance from any of the points in the point set are added to the point set to complete the landmark representation. The geo-image data and landmark representation data are combined to provide high resolution asset location information.

The present invention discloses a dialogue method of an intelligent customer service robot and a knowledge base management system of the intelligent customer service robot. The method comprises: presetting one or more question and answer pairs in a knowledge base, and collecting statistics of association degrees among the question and answer pairs; searching for a corresponding question and answer pair in the knowledge base according to a question raised by a visitor; providing an answer in the question and answer pair for the visitor; and furthermore, by using the question and answer pair as a basic question and answer pair, providing an associated question in an associated question and answer pair corresponding to the basic question and answer pair for the visitor according to the statistical association degrees among the question and answer pairs. Therefore, communication efficiency is greatly improved, and big data of the knowledge base and algorithm management are used to assist the user to obtain a desired result more quickly, and user experience is better.

A method and system for managing multiple firewall configurations are disclosed. The method uses a pointer on a packet object representing a packet to reference a configuration object representing a configuration of the firewall which is assigned to the packet. By using a pointer to link each packet entering a computer system to the most recent configuration, the method can maintain multiple configurations and enable the firewall processing modules to process each packet according to its assigned configuration even if new configurations are released during the transition of the packet through the system. A reference count is also used as a variable by the configuration object to track the number of packets assigned to the configuration. A corresponding system is also provided.

A program causes a computer or similar apparatus to execute processing to match image data with log data on the basis of date and time information, wherein the image data contains appended date and time information indicating the time of image acquisition, and the log data contains date and time information associated with position information. As a result, position information is associated with image data. Display processing is subsequently executed to display, on a map image, acquisition location presentation images that indicate the acquisition locations of the image data according to the respective position information associated thereto. In accordance with correction input in the form of a time value, correction processing is then executed to correct associated position information for all image data specified for processing and additionally update the map image to reflect such corrections. The association results are then applied and saved in accordance with save command input.

A computerized method for learning a delivery point of a first mail piece by using unmatched and / or unused data from at least one other mail piece is disclosed. The method comprises the steps of: (a) capturing a text string from said other mail piece using capture means; (b) comparing said text string to a first set of preexisting data in an address database to determine a match for said other mail piece according to a first set of predetermined rules; (c) separating the matched and used data from the unmatched and unused data for said other mail piece determined by step (b); and (d)correlating said unmatched and / or unused data from said other mail piece to a second set of preexisting data relating to said first mail piece according to a second set of predetermined rules, wherein upon the presentation of a third mail piece to the capture means with the same intended delivery point as the first mail piece and having similar unmatched and / or unused data as the at least one other mail piece, the correct point of delivery for the third mail piece can be automatically determined.The invention further comprises a computerized system for learning a delivery point of a first mail piece by using unmatched data from at least one other mail piece, comprising: (a) means for capturing a data string of address information from said other mail piece; (b) a directory retrieval system database comprising a set of preexisting data relating to said other mail piece and further comprising means for separating matched data from the unmatched data; (c) a tag database comprising the unmatched data; (d) a tag archive; (e) means for correlating the unmatched data to the set of preexisting data according to a plurality of predetermined rules; (f) a rules database comprising said plurality of predetermined rules; and (g) a learning database to determine said delivery point of said first mail piece upon its presentation to the capture means after said other mail piece has been processed by the system.

A computer-implemented system (10) for associating target data with a product classification schema includes a data association module (39) that accesses the product classification schema. The schema includes a taxonomy that includes a hierarchy of classes into which products may be categorized. The schema further includes ontologies that are associated with one or more of the classes. Each ontology includes one or more product attributes. The data association module (39) accesses the target data to be associated with the schema and determines one or more classes with which at least a portion of the target data should be associated. This determination is based on a comparison between the target data and the product attributes of the ontologies or between the target data and values for one or more of the product attributes. Furthermore, the data association module (39) associates at least a portion of the target data with one or more classes in response to determining one or more classes with which at least a portion of the target data should be associated.

Systems and methods for GPU command streaming in accordance with embodiments of the invention are disclosed. In one embodiment, a method for receiving and processing an encoded GPU command stream includes obtaining an encoded GPU command stream from at least one hosting server system using a rendering system, decoding the encoded GPU command stream into a decoded GPU command stream using the rendering system, obtaining a set of high density assets using the rendering system, mapping a first set of runtime generated identifiers to a second set of runtime generated identifiers using the rendering system so that the second set of runtime generated identifiers is correctly associated with the set of GPU commands, and producing a set of images using the rendering system by processing the decoded GPU command stream and the set of high density assets using a processor.

An object position area is calculated according to a position in the space of a detected truck. A template corresponding to the object position area recorded at the previous time is then called. The template is moved to a position on a reference image Ib where the similarity is highest. Overlap rate of the object position area and the template is calculated. A decision is made whether the object is identical to that detected in the past by using the overlap rate.

The invention provides a method and a system for sending out PCC (program-controlled computer) strategy information. The service information provided to PCRF (policy and charging rules function) by AF (audio frequency) for making PCC rule is based on the converted IP (internet protocol) address and port number in an external grouping network, namely when a network address translation function entity is arranged, the PCRF acquires the address information of service strategy information which is not translated according to a NAT (network address translation) corresponding table generated by the network address translation function entity, performs the relevance and strategy decision for the service PCC strategy according to the address information of service strategy information which is not translated, and executes the PCC strategy rule supplying process to send the PCC rule to the PCEF (policy and charging enforcement function). By the using of the method and system, the PCRF correct relevance service strategy information is ensured and the PCC strategy rule is sent to the corresponding PCEF.

The invention, which belongs to the technical field of electronic countermeasures, in particular relates to a time-difference-information-based passive multi-station multi-target direction-finding cross-positioning method. According to the method, on the basis of a multi-radiation-source data association algorithm, observation data from multiple observation stations are associated to obtain a costmatrix C(p,q); and then a coordinate of a target is estimated by using an aggregation hierarchy clustering algorithm based on the obtained cost matrix C(p,q). The method has the following beneficialeffects: association of data from multiple stations is completed accurately and the location of the target is estimated finally and accurately. The method is simple and has the good effect.

The invention provides a product unique code full-automatic packaging production line. The product unique code full-automatic packaging production line comprises a product code mechanism, a bagging code mechanism and a boxing code mechanism; the product code mechanism comprises a material-loading sequencing device and a laser-machine code device; the bagging code mechanism comprises a bagging conveyor belt and a bagging machine; the boxing code mechanism comprises a boxing device, a carton conveyor belt and a second industrial code machine, wherein the boxing device is arranged at the rear endof the bagging machine, and the second industrial code machine is fixed on the side edge of the carton conveyor belt. According to the product unique code full-automatic packaging production line, products, product packaging bags and cartons are coded, the codes are correlated with one another, and unqualified products are removed through an omni-directional removing system, so that the quality of the packaged products is guaranteed; and the removed product information is fed back to a controller for information processing, so that the unique correlation of the product information is ensured.

The invention provides a correlation method based on AIS and radar angle system deviation, so as to realize accurate correlation between a radar and an AIS in the case of angle deviation existing in radar detection processing. The method is realized through the above technical scheme: a radar deviation range is determined by using prior knowledge and is quantified, and a deviation array is obtained; angle deviation is assumed to be phi, radar angle correction is carried out on the basis, and a position and a velocity under an AIS target geodetic coordinate system are converted to those under aradar polar coordinate system; the correlation degree between the radar and the AIS is calculated according to a fuzzy membership function, a decision threshold is then set, and the number of correlated targets and the number of uncorrelated targets are determined, wherein the correlated targets are based on a calculation result; the fuzzy memberships of all targets are accumulated; all angle deviation assumptions in the array are traversed, the target membership sum is calculated, and the maximum membership sum is selected as a final result; and as time changes, assumption results are subjected to multiple times of verification and confirmation.

The invention belongs to the technical field of electronic countermeasures, and specifically relates to a passive multi-station multi-target direction-finding cross location method based on angle information. The passive multi-station multi-target direction-finding cross location method based on angle information includes the steps: by means of a multi-radiation-source data association algorithm,associating the observation data of multiple observation stations to obtain a cost matrix C(p,q), and then according to the obtained cost matrix C(p,q), estimating the target coordinates by means of ak-mean value++clustering algorithm. The passive multi-station multi-target direction-finding cross location method based on angle information has the advantages of being able to accurately associating the data of multiple stations and finally accurately estimate the position of the target, being simple, and having preferable effect.

A measurement line segment projection unit (400) projects, onto a sensed image, a three-dimensional model which is arranged at the position and orientation of a physical object (199). A search range is set for each side of the virtual object projected onto the sensed image, near the side of the virtual object in the sensed image based on a positional relationship between the side and other sides of the virtual object. A side of the physical object (199) on the sensed image is searched for within the search range for each side of the virtual object. The position and orientation relationship between the physical object (199) and an image sensing device (50) is calculated using the correspondence relationship, determined based on the search result, between each side of the three-dimensional model projected onto the sensed image and each side of the physical object (199) located on the sensed image.

An image recognition apparatus that recognizes an object related to a certain object in an image sequentially recognizes an object from the image in accordance with recognition-order information that indicates an object order in an object sequence including the certain object, the related object, and an object connected between those objects. The apparatus determines whether or not an object recognized in a current turn of recognition has a connective relationship with an extracted object obtained in a previous turn of recognition, and obtains the object that has been determined as having a connective relationship as an extracted object. Based on an object extracted by a repetition of the above processing, that is, recognition, connective relationship determination, and obtaining, in the above-described recognition order, the related object is associated with the certain object.

The invention discloses a method and a device for video processing and a method and a device for image recognition. The method for video processing comprises the following steps of: obtaining a preset image and corresponding image information of the preset image; looking up video frames containing the preset image in the video; determining a focus area, where the preset image is, in the video frames containing the preset image; associating the focus area with the image information, thereby enabling a terminal playing the video to display the image information when receiving a preset operation to the focus area. In the technical scheme, image information is added automatically for the preset image in the video, thus, when users watch the video subsequently, the users can initiatively select and obtain the image information associated with the image according to own needs, and the video itself creates scene to guide the users to initiatively participate in learning of products, forcibly stopping playing of advertisements inserted in the video is avoided, and joy and experience of video watching of the users are improved.