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.

An apparatus, program product and method utilize sets of attributes respectively associated with managed resources and policies to match managed resources with individual policies. Multiple managed resources are permitted to be matched with a specific policy, such that the policy applies to all matching managed resources. Furthermore, by providing multiple attributes upon which to match, policies are capable of being defined with varying degrees of specificity, enabling administrators to utilize more generic policies for certain types of managed resources, with more specific policies used to override certain managed resources whenever needed.

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.

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.

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.

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 relates to a service recommendation method based on user risk preferences. According to the service recommendation method based on the user risk preferences, an attribute extracting method based on the user risk preferences and the service recommendation method based on the user risk preferences are used. The attribute extracting method based on the user risk preferences is a simplifying method according to the characteristic of multiple attributes of services. According to the service recommendation method based on the user risk preference, considering that different users have different inclinations to take risks of unknown services, the users are classified according to the different user risk preferences, corresponding rules are adopted for different types of users, effective attributes better meeting requirements of the different types of users are extracted from multiple non-functional attributes from the services, similarity calculation is conducted, and a recommendation is formed finally. By the adoption of the service recommendation method based on the user risk preferences, simplification of the multiple attributes of services is achieved, a solution to the problem that uncertain intervals exists when the non-functional attributes of the services are grated during service recommendation is provided, in this way, recommendation results can better meet the requirements of the different types of users, and a powerful method and tool are provided for service recommendation.

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.

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.