307 results about "Multiple attribute" patented technology

A method and system for a multi-attribute and advertisement recipient behavior-based advertising process is disclosed. The advertisement recipient behavior-based advertising process enables advertising pricing schedules to apply to a great variety of advertising recipient behaviors beyond “pay per view or impression” and “pay per click”. The advertisement recipient behavior-based advertising process may be used in conjunction with a multi-attribute advertising pricing and delivery model, and can apply to advertising delivered in conjunction with search, sponsored recommendations, or any other on-line or digital advertising approach.

A computerized system and method having a visual display for use in medical diagnosis is disclosed. One embodiment of the system includes a user interface operable to transmit data to the visual display of a computing device, where the user interface substantially simultaneously receives multiple identified attribute values representative of a medical condition of a patient. A data structure is stored in a memory in communication with a processor in the computing device. When the data structure is accessed by the multiple attribute values, it provides a list of one or more selected medical diagnoses of the patient for display via the user interface. The multiple attributes includes at least a first attribute corresponding to a cause of disease and a second attribute corresponding to an anatomic system of the patient.

The invention relates to a community-based author and academic paper recommending system and a recommending method. A double-layer quotation network consisting of an author layer and an academic paper layer is formed by utilizing a quotation relation between an author and the academic paper and the community information, then a user interesting model is established according to a historic behavior record of the user and the academic paper set read by the user, finally the user demand is analyzed according to the obtained double-layer quotation network and the user interesting model, and the author and academic paper thereof can be recommended to the user. The system is provided with an academic paper capturing module, an academic paper preprocessing module, a double-layer quotation network establishing module, a user interesting model establishing module and an individualized academic paper recommending module as well as a database. By adopting the recommending system and recommending method, not only can the correlation of the study content among users be used for establishing an author community through a subjective model, but also multiple attribute values of the to-be-recommended author and academic paper inside the community can be calculated, and the weakness that the calculation of the existing recommending algorithm is large can be improved; and meanwhile, multiple attribute values of the author and academic paper can be simultaneously calculated, so that the recommend result is more diversified, and the user requirement can be better met.

The invention provides a multidimensional resource scheduling system and method for a cloud environment data center, belonging to the field of cloud computing. The system provided by the invention comprises a user application request submitting module, a resource status acquiring module, a resource scheduling module, an application request priority queuing module and a virtualized physical resource pool. The method provided by the invention comprises the following steps of: firstly detecting the status information of multidimensional resources in the virtualized physical resource pool and a current application request set in the user application request submitting module, which are acquired by the resource status acquiring module; then defining an application request priority queue which is suitable for the status balanced consumption of the current multidimensional resources in the virtualized physical resource pool by using a multiple-attribute-decision-making application priority scheduling algorithm; and finally submitting the application request which has the highest priority and meets resource constraints to the cloud environment data center for execution.

Embodiments of the present invention provide mechanisms that overcome limitations of existing indexes by creating two-dimensional (2D) spatial indexes to quickly locate data containers that match two or more predicates. This is accomplished by representing metadata attributes describing a data container as dimensions in a 2D space so that a data container can be expressed as a point or a cell in a 2D space with coordinates being a pair of values of the selected attributes. A space filling curve is used to traverse the 2D space and convert each pair of the 2D coordinates to a single space filling curve value. A 2D spatial index is then created based on the computed space filling curve values so that one value can be associated with one or more points (data containers) in the index. Advantageously, the created spatial index provides for searching and processing fewer metadata entries, thereby decreasing the time typically used to search for data.

A computer-implemented apparatus or method, or a software product, for generating a composite quantitative comparison of drug products based on multiple attributes of them. A set of name-attribute similarity scores are generated based on similarities among the names of selected target and reference drugs. A set of product-attribute similarity scores are generated based on similarities among product attributes of the selected target and reference drugs. A target drug confusability score is generated based on the confusability of the target drug as compared to a population of other drugs. The composite quantitative comparison is generated based on a composite of the name-attribute and product-attribute similarity scores, and the target confusability score. A set of one or more severity of confusion scores may also be included in the composite quantitative comparison. These scores are based on one or more indicators of the severity of the consequences to a patient of confusing the target and reference drugs so that, for example, the wrong drug is administered to the patient, or the correct drug is incorrectly administered. The name-attribute similarity scores may be generated based on orthographic, phonetic, and / or phonological analysis. The product-attribute similarity scores may be generated based on the drugs'strengths, indications, dosages, administration routes, manufacturers, pharmacological categories, storage requirements, colors, shapes, legal standing, trademark description, and / or other attributes. The composite quantitative comparison may include severity-weighted similarity scores or both similarity scores and severity of confusion scores. The severity of confusion indicators may include a therapeutic index and / or a contraindication index.

A method and system for controlling access to data via a data-centric security model. A business data classification scheme is defined as a hierarchy that includes data types aligned with business operations. A data element is labeled with a data label. The data label includes multiple attributes associated with a data-centric security model. A first attribute is a data type of the data element. A second attribute includes security requirements. Data control rules are automatically generated for an enforcement of the security requirements. The enforcement grants or denies to a user an access to the data element via a predefined action. The enforcement is based on a predefined association among the predefined action, a predefined role that includes the user, the data type and, optionally, a purpose for performing the predefined action.

A system, method, and computer program product are provided for automatically linking items with multiple attributes to multiple levels of folders within a content management system. The present system extends automatic linking to support multiple levels of folders and multiple attributes. One feature of the present system is to supplement the implementation of the automatic linking plan without user involvement so that the user is not required to know the rules for creating or nesting folders. A system defined attribute is used to indicate that the folder item was created by the present system. In addition, the present system automatically moves an item from one folder to another when the item is changed to a different type if the item was first added to the folder by the present system. When an item's attributes are changed or the item is redefined as a different type, the item is re-indexed. The present system then changes the item's link from the original folder to a new or different folder that matches the item's new attributes or definition. If no correspondence folder exists for this customer, the present system creates a new folder with the proper attributes. If the result of removing an item from a folder results in an empty folder and if the folder was originally created by automatic linking, the present system deletes the empty folder. When the present system creates a new folder, the “automatic linking” rules for that item type are checked by the present system. This process is executed recursively.

The embodiment of the invention discloses a database synchronization method and device, equipment and a storage medium. The method comprises the steps of obtaining table structure information of a source database and a target database; determining table structure change information according to the table structure information of the source database, the table structure information of the target database and a preset field attribute capture rule; generating a change statement according to the table structure change information, controlling the target database to execute the change statement soas to update the table structure information of the target database; obtaining update data matched with the table structure change information in the source database, and synchronizing the update datato the target database. According to the technical scheme provided by the embodiment of the invention, the defects of the scheme in the prior art are overcome, the synchronization function that multiple attributes of library table fields can be selected and contents can be filtered is realized, and the problem of data synchronization failure caused by special attributes of source database fieldsis solved.

The invention discloses an identification method of fine-grained attributes of pedestrians under complex scenes. A classification model is adopted for fine-grained attribute identification on sub-components of a detected pedestrian; association analysis is respectively carried out on identified attributes and a pedestrian gender, and attributes with high correlation are selected for multi-task learning; then convolutional neural network (CNN) models constructed by multi-task learning are trained, and results of the convolutional neural network models with a highest identification rate are selected for the multiple attributes to use the same as a final result; and finally, a gender attribute of the pedestrian is judged according to a customized decision function. The method can realize overall-to-local detection of the pedestrians in the complex scenes, realize more accurate detection and identification of the attributes of pedestrian sub-components, and avoid interference of backgrounds and other information, also solves, at the same time, the problem that detection correctness rates of models on small objects are low, and has higher information accuracy.

Methods and apparatus are provided for inferring user interests from both direct and indirect social neighbors. User interests are inferred from social neighbors by exploiting the correlation among multiple attributes of a user, in addition to the social correlation of an attribute among a group of users. Attributes of a user are inferred by obtaining an inferred set of attributes comprised of one or more attributes of social neighbors of the user. Thereafter, the inferred set is modified using a user attribute correlation model describing a probability that the attributes in the inferred set co-occur on the user and one or more of the social neighbors. An inference quality of the obtained attributes can optionally be obtained based on social network properties of the social neighbors. Interactions with the user and / or the social neighbors can be employed to solicit feedback to improve the one or more inferred attributes.

A method for graphically presenting large volumes of data without aggregation using a pixel bar chart. Records having multiple attributes are sorted for constructing a graphically displayable array, wherein the graphically displayable array comprises a plurality of pixels. Each pixel represents one record. The non-aggregation data visualization technique of the present invention provides solutions to meet the need of automatic data preparation for the visual data mining of massive data volumes. The present invention effectively uses screen space to represent each record without cluttering the display, allowing a user to easily discover patterns and correlations. The present invention provides a visual impression by representing the value of a record by a color and representing the number of records by the area of a group. With “drill down” capability, a user can navigate through each record to find detail information. Each record is represented by one pixel, allowing millions of records to be displayed at the same time. Each individual record can be accessed interactively, by allowing direct access to the detail data by picking at single pixels.

A computer system that forwards data packets is described. During operation, the system receives a data packet on a first interface and classifies the data packet to determine a corresponding destination. This classification is based on dynamically configured classification rules that include multiple attributes corresponding to multiple layers in an Open System Interconnect (OSI) Reference model. Then, the system provides the data packet on a second interface corresponding to the destination.

The invention provides a website recommendation result displaying method and a device and a terminal with the device. The website recommendation result displaying method comprises the steps of providing each recommendation result related to items according to the items selected by an user; analyzing a website recommendation model and extracting multiple attribute values of each recommendation result according to the recommendation model; establishing a multidimensional coordinate system; mapping multiple attribute values of each recommendation result to the multidimensional coordinate system; drawing a multidimensional model of each recommendation result according to the position of each recommendation result in the multidimensional coordinate system; displaying the multidimensional model of each recommendation result in the multidimensional coordinate system. The embodiment provided by the invention has the advantages of richly expressive, three-dimensional, visual, vivid and clear display. The invention also provides the website recommendation result displaying device and the terminal with the device.

A way to conduct complex transactions by auction efficiently and with a high degree of automation is provided by a methodology for conducting auctions in which bids contain multiple attributes, as opposed to a single attribute (price). Bidders are requested to specify values for each of a set of attributes, which can include transaction terms as well as product and / or service specifications. The bids are evaluated according to criteria that are functions of these attributes in order to reject losing bids and assist the auctioneer in selecting the winning bid(s).

A method and system for controlling access to data via a data-centric security model. A business data classification scheme is defined as a hierarchy that includes data types aligned with business operations. A data element is labeled with a data label. The data label includes multiple attributes associated with a data-centric security model. A first attribute is a data type of the data element. A second attribute includes security requirements. Data control rules are automatically generated for an enforcement of the security requirements. The enforcement grants or denies to a user an access to the data element via a predefined action. The enforcement is based on a predefined association among the predefined action, a predefined role that includes the user, the data type and, optionally, a purpose for performing the predefined action.

A method and a system for searching objects using reputation information are provided. Example embodiments may include presenting multiple reputation dimensions and multiple attributes related to each of the reputation dimensions to a user. The method may also include detecting user selections of reputation dimensions and attributes related to the reputation dimensions and including selected attributes related to the reputation dimensions as criteria parts of search queries. Some example embodiments may include conducting a search of a database of objects using the search query to generate search results.

Systems, methods, and computer program products for searching objects, metadata associated with the objects, and attributes assigned to or associated with the metadata. Referring to herein as metadata for the metadata, these attributes may be associated with one or more metadata field values of a metadata field name which, in turn, may be associated with an object being or already indexed in a search index of a search system. Each attribute may be optional, dynamically created, indexed, and searchable via the search index. There can be multiple attributes associated with the same metadata field value, each being represented as a key-value pair. This metadata for the metadata approach can be highly efficient. For example, the ability to search multiple attributes associated with the same metadata field can eliminate the potential need to create multiple metadata fields for the same value in different languages, countries, etc.

A method for tuning super-oxygenated and structured water to have multiple attributes is provided. The method includes receiving oxygen enriched water into a coil system and passing the water therethrough, combining water output by the coil system with structured ozone, inputting the combined water and structured ozone to a multicoil system and passing the water therethrough, and outputting tuned super-oxygenated and structured water. The method may be utilized as part of a method for producing and tuning super-oxygenated and structured water.

Embodiments are directed to presenting multiple data items with multiple attributes simultaneously. In an embodiment, a computer system accesses a plurality of data items, where each data item includes data item features and data item attributes for each feature. The computer system arranges the accessed data items in a customizable pattern that visually shows each data item's features and associated attributes. The pattern includes slices that designate the data items' features and rings that designate the data items' attributes. The computer system also presents the arranged data items on a circular base that includes multiple slices and rings, so that each data item is displayed in an appropriate slice and ring, according to the data item's corresponding features and attributes.

Data structures, systems, methods and computer program products that enable precise information retrieval and extraction, and thus facilitate relational and associative discovery are disclosed. The present invention utilizes a novel data structure termed a “Knowlet” which combines multiple attributes and values for relationships between concepts. While texts contain many re-iterations of factual statements, Knowlets record relationships between two concepts only once and the attributes and values of the relationships change based on multiple instances of factual statements, increasing co-occurrence or associations. The present invention's approach results in a minimal growth of the Knowlet space as compared to the text space and it thus useful where there is a vast data store, a relevant ontology / thesaurus, and a need for knowledge navigation and (relational, associative, and / or other) knowledge discovery.

The invention provides an attribute association based load prediction system in the energy Internet environment. The system is characterized by comprising a data collection and a database management module, an electric quantity supply and demand balance real-time monitoring module, a data analysis and processing module, a data storage module and an electric quantity query module. The invention also provides an attribute association based load prediction method in the energy Internet environment, and the method includes an excavation algorithm for short-term load prediction on the basis of a graph theory. The system takes attributes influencing the load into consideration, and power utilization rules of users can be mastered in a more complete manner. The prediction method mainly aims at association factors related to load change, influential factors and chain reaction links of high association degree are found, power utilization behaviors of users and power utilization association modes of user groups are excavated, and a new solution ideal is provided for real-time load prediction method after large-scale intermittent new-energy grid connection.

A method, apparatus and article of manufacture is provided for mapping data objects residing in multiple data sources, or generated dynamically, into a single, reusable software component, for integrated information access to multiple disparate data sources, residing on or generating the data dynamically on different hardware systems and possibly in different data formats. The method has steps for identifying data objects in multiple data sources, employing an information integration software facility for connecting to the data sources containing the data objects, and registering the data objects with the software facility, creating a single virtual data object consolidating multiple attributes from the registered data objects, and establishing a connection to the software facility for referencing the virtual data object as though it was a single real data object. It also has a step for wrapping this virtual data object as a reusable software component accessible directly from applications.

The invention discloses a seismic attribute multi-source information fusion method. By the adoption of the seismic attribute multi-source information fusion method, contradiction among multiple attributes can be solved, and a new attribute data body is generated. Compared with a single attribute comparison method, the method is more direct and more effective. Compared with a simple attribute synthesis method, the method is more accurate and scientific. According to the seismic attribute multi-source information fusion method, RPCA conversion fusion and wavelet transform fusion can be selected according to different conditions, advantages of information characteristics contained in all seismic attribute data are combined organically through the RPCA and wavelet transform, different fusion rules can be selected by the wavelet transform, comparison and analysis of fusion results obtained with different methods can be achieved, useful information in the data are fully used, the confidence coefficient is increased, the ambiguity is lowered, and the system predication reliability is improved.

The present invention is an adaptive secure wireless communications system and method. Generally, the present invention may be operable to address challenges and threats to a secure communication session. The secure wireless communication system of the present invention may operate one or more of the following: multiple physical-layer attributes monitoring; multiple parameter confidence testing related to transceiver (Tx-Rx) specific environment and transmitter receiver hardware characteristics; continuous and interleaved authentication; and security enhancement using dynamic adaptation of the transmission system parameters based concurrent and / or conjugated transmission of data-carrying signal and security control information. The real-time physical-layer related monitoring and interaction between transmitter and receiver, using Tx-Rx related physical environment, of the present invention may effectively reduce many wireless security threats including interception and spoofing.

Disclosed herein is an information processing apparatus including: a detection block configured to detect persons from an image; and a setting changing block configured such that if one of the persons detected by the detection block from the image is designated, then the setting changing block identifies a plurality of attributes of the designated person based on the image of the person, before changing user interface settings using attribute-specific setting information associated with a combination of the identified multiple attributes.

A system, method and visual interface for searching for objects having multiple attributes. The system, method and visual interface includes one or more target areas for bid lines represented in a Cartesian coordinate system. The system, method and visual interface also includes a target line which is representative of a desired or optimal attribute value. The system, method and visual interface calculates a distance between the target line and the sell bids to determine the closest bid line and hence a desirable sell bid.

A “General Click Model” (GCM) is constructed using a Bayesian network that is inherently capable of modeling “tail queries” by building the model on multiple attribute values that are shared across queries. More specifically, the GCM learns and predicts user click behavior towards URLs displayed on a query results page returned by a search engine. Unlike conventional click modeling approaches that learn models based on individual queries, the GCM learns click models from multiple attributes, with the influence of different attribute values being measured by Bayesian inference. This provides an advantage in learning that enables the GCM to achieve improved generalization and results, especially for tail queries, than conventional click models. In addition, most conventional click models consider only position and the identity of URLs when learning the model. In contrast, the GCM considers more session-specific attributes in making a final prediction for anticipated or expected user click behaviors.