704results about "Other databases retrieval" patented technology

Traceable material property data is maintained in a database and provided to users upon demand. Cohesive and logical definitions of material property datasets are provided that capture the different industry standard facets of a material property. Traceability information includes the manufacturer of the material, the source of the material, the property measuring authority, points of responsibility, facets and constraints of the measurement process. Attributes for dataset ownership and dataset access cost are maintained and only the dataset owner is allowed to update those attributes. The ability to control access to the dataset is provided to the data owner. A dataset's measuring authority is permitted to review and re-grade data. The ability to define groups of users is provided with a designated user having the ability to control group membership and set the group's policies with respect to access of datasets owned by any member of the group. The ability to transfer or trade ownership of data is permitted.

A system and method operable to identify and analyze persistent state information among a plurality of software-related events, and present persistent state information in a unified fashion.

Traffic notification systems include a location determination system that is configured to determine a geographic location of a subscriber and an automated traffic notification system that is configured to automatically transmit a traffic notification message that is based on the geographic location of the subscriber to a wireless terminal that is associated with the subscriber.

The invention discloses a remote sensing monitoring system for automotive exhaust emission of an urban road network. The system is mainly composed of a remote measurement device layer, a site selection and position arrangement layer, and a data processing layer. Through mobile, horizontal and vertical exhaust remote measurement devices, real-time data of the automotive exhaust emission in running is obtained; by adopting an advanced site selection and position arrangement method, the remote measurement devices are scientifically networked; and in combination with external data of weather, traffic, geographic information and the like, the real-time remote measurement data of the automotive exhaust emission is subjected to intelligent analysis and data mining by adopting big data processing and analysis technologies such as deep learning and the like, and key indexes and statistical data with optimal identification performance are obtained, so that effective support is provided for government departments to make related decisions.

A method and apparatus are disclosed that identify a motor vehicle operation and whether a driver is operating a mobile device. One example of operation may include a method that includes receiving vehicle data based on active operation of a vehicle and compiling a candidate driver identification profile (DIP) based on the received vehicle data. The method may also include comparing the candidate DIP to a pre-stored DIP and determining a match between the candidate DIP and the pre-stored DIP. The method may also include applying a restriction to a mobile station operated by a driver of the vehicle responsive to the match determination.

An improved query input technique is disclosed in which a user supplies a few character-based queries and is able to retrieve and display at least as portion of a record from a structured database. For every character the user enters, a progressively reduced list of indexes that start with the entered characters is displayed. When a desired index identifying the record is among those indexes being displayed, the user may cease the character entry and scroll a zoom window upon the desired index to explore the full record. Various visual feedback indicators can also be displayed for the benefit of the user. Consequently, the user can access and display pertinent information of a certain record from a database quickly and efficiently with a reduced number keystrokes.

Systems and methods consistent with some embodiments of the present invention provide for managing a plurality of records, including storing a plurality of records, wherein each of the plurality of records includes at least one of a section and subsection; receiving a request to access one of the plurality of records, wherein the request includes identification information identifying information about a user requesting access; determining the level of access of each of the at least one section and subsection associated with the one of the plurality of records requested; selecting at least one of the section and subsection of one of the plurality of records based on the identification information of the user and the determined level of access; providing access to at least one of the selected section and subsection in a record; wherein the record may be simultaneously accessed by a plurality of users, and wherein information for updating at least one of the section and subsection in the record may be received simultaneously by a plurality of users.

A method, an apparatus, a system, a computer program product, and a computer program are disclosed for maintaining consistency of object content (252) and metadata (204) related to the object (252) in a loose transaction model, preferably using SQL Mediated Object Manipulation (SMOM), for object and meta-data updates. The related meta-data (204) and a reference to the object (252) are stored in a table of a database. The object is stored externally to the database in an object store. The reference is used to obtain a handle for directly accessing or manipulating the external object. A version number embedded in the handle is then obtained. The embedded version number is then compared with a version number of a latest committed version of the externally stored object to determine if the handle refers to a current version of the externally stored object. Next, the last modification timestamp of the file is compared with the last modification timestamp of the latest committed version, in order to detect uncommitted updates. A mismatch indicates that stale data is being referenced, and in that situation an appropriate error is returned.

A gaming system (100) comprises a gaming server (system controller) (54), a plurality of gaming machines (10), and a communications system (63) connecting each of the plurality of gaming machines (10) to the gaming server (53). The gaming machines (10) each have a display (14), player controls (22), a player tracking device, such as a card reader (24.3) for reading player tracking cards (27), and a game processor (34) which displays sequential game images of a game being played on the respective display (14). Each game processor (34) plays a game initiated by the player, where the game is one of a plurality of games available on the gaming machine (10) and selectable by the player. Each gaming machine (10) includes game selection means (16) which displays a selection of games (211-216 & 311-316) available on the machine for the player to play. The games (211-216 & 311-316) offered for selection are ordered according to a ranking determined as a function of the player's past history of playing games and a history of games played by other players.

A system and method for connection labeling for use with connection pools, including support for cloud-based multi-tenant environments using connection labeling. In accordance with an embodiment, the system comprises a connection pool, including a plurality of connection objects which provide connections that software applications can use to make requests to access the database, wherein each of the connections can be labeled according to the configuration of particular applications; and a connection pool logic that identifies connections labeled as high-cost connections, and controls the creation or repurposing of high-cost connections to serve requests from the multiple tenants or tenant applications.

To construct an ontology for a target data by re-using an existing ontology, from an aspect of the structure of the class hierarchy according to an object-oriented method and an aspect of the levels of relevance with other properties, the properties that correspond to the data items in the data serving as an ontology construction target and the extraction classes of the properties are determined as property extraction destination candidates for the ontology to be constructed. As a result, it is possible to re-use even a fine difference in the meanings among the properties in the classes. Consequently, it is possible to provide a support for constructing an effective ontology, while reducing the load on the user.

A method and system for receiving multi-dimensional feedback in a survey comprises a participant interface module and a data analysis module. The participant interface module comprises a display of a media and a plurality of interactive indicators. Each of the plurality of interactive indicators can receive feedback from at least one participant according to a dimension and a time of the feedback. The data analysis module receives and processes the feedback to generate a result which may be graphically displayed. The result may comprise the processed feedback with the media according to the two or more dimensions and the time of the feedback.

Embodiments of the present teachings disclose method, system, and programs for a multi-phase ranking system for implementation with a personalized content system. The disclosed method, system, and programs utilize a weighted AND system to compute a dot product of the user profile and a content profile in a first phase, a content quality indicator in the second phase and a rules filter in a third phase.

At least certain embodiments of the present disclosure include a method to extend search capabilities to third party applications installed on a device. In one embodiment, records associated with a third party application are indexed in a process isolated from other third party applications installed on the device using a search plugin specific to the third party application. Furthermore, the indexed records can be searched in response to a user search query without invoking the third party application.

Information delivery systems and methods are disclosed. In a system according to the invention, there is a database system, a user appliance, a first communication channel and a second communication channel. The database system may have records that are alterable by a service provider. The user appliance may have an input device with polysemous keys. Further, the user appliance may also have a monitor, which is able to provide the user with information corresponding to records of the database system.

Embodiments of the present invention assist in the development, management, and deployment of aggregated data attributes for multiple data sources. One embodiment provides a development interface that allows for elements of attributes, including filters, to be moved into a coding area in which an attribute or an attribute element is being edited. In another embodiment, the user interface presents data fields to assist in the development of filters for multiple data sources with divergent formats. The application further provides a validation interface through which users can validate attributes and trace the results returned by various elements referenced by the attributes under validation. Another embodiment provides a system for managing attributes and deploying them to various systems by creating a deployment file that is used by an attribute calculation system. In one embodiment, the attribute calculation system is a scalable system that dynamically calculates attributes for multiple data sources.

Providing a system and method for identifying and characterizing incidents. The system and method can receive information from telecommunications networks or other information providers that may trigger generating an Incident Record. The Incident Record may further be analyzed to characterize the type of incident. This further analysis may include retrieving data from multiple data sources to support the application of rules used to characterize the incident. Additionally, analyses from multiple incidents may be combined if determined to relate to a single event.

A method and system for an automatic people matching with a mutual commit process is disclosed. The process includes a recommender system that generates people recommendations based, at least in part, on inferences of preferences derived from system usage behaviors. The process also includes variations of a mutual commitment process that may only reveal a first party's interest in making their expression of interest with a second party if a reciprocal interest in revealing expression of interest is indicated. The process enhances social networking by reducing potential embarrassment and fear of rejection.

A data obfuscation system, method, and computer implementation via software or hardware allows a legitimate user to gain access via a query to data of sufficient granularity to be useful while maintaining the confidentiality of sensitive information about individual records. Output values of a data request are obfuscated in a repeatable manner, via the use of an Obfuscating Function (OF), while maintaining the amount of obfuscation within a range so that the transformed values provide to a user information of a prescribed level of granularity. The data obfuscating system and method is particularly applicable to databases. The data obfuscation engine may be implemented in hardware and / or software within a stand alone or distributed environment.

The invention discloses a random forest parallelization machine studying method for big data in a Spark cloud service environment. The method comprises the steps that dimension reduction processing is performed on the high-dimensional big data through feature vector importance analysis, and prediction is performed by adopting a weighed voting mode; through a distributed memory management mechanism and a cloud computing platform, parallelization of random forest training process model building, single decision-making tree splitting process and prediction voting is improved. According to the method, dimension reduction processing is performed on the high-dimensional big data through feature vector importance analysis, prediction is performed by adopting the weighed voting mode, therefore, optimization of the random forest method is achieved, and the mining effect of the random forest machine studying method on the complex big data is improved; the random forest parallelization method based on the Spark cloud platform is performed on the basis, so that the operation efficiency of the random forest machine studying method is improved.

The invention discloses a mixed type processing system and method oriented to industry big data diversity application. The system comprises a distributed data collection subsystem used for collecting data from an external system, a storing and parallel calculating subsystem used for storing and calculating the collected data, and an integrated resource and system management platform used for managing the stored and calculated data. The storing and parallel calculating subsystem comprises a big data storing subsystem and a big data processing subsystem, wherein the big data processing subsystem comprises a memory calculating engine which is used for providing distributed memory abstract in a shared-nothing cluster and conducting parallel streamlined and thread lightweight processing on the collected data. The mixed type processing system and method can meet the requirements of industry big data diversity service application, the big data processing performance can be improved by ten or more times through acceleration of the memory calculating engine, and the usability, reliability and expandability of the system can be ensured through the integrated management platform.

The invention discloses an equipment cluster health state evaluation method based on industrial big data and solves a health state evaluation problem of equipment clusters. Based on the full service period big data environment of the equipment clusters, an entity state information slicing management model is constructed to pre-process data; a condition similarity clustering method is utilized to carry out equipment cluster division, a regression method is utilized to establish a mirror image model, the mirror image model and an entity health state are mutually mapped, and a health state quantification model of the different equipment clusters is acquired; fusion and reconstruction of the health state data of the different equipment clusters are carried out to acquire health degrees of the different pieces of equipment, fitting of an equipment health state degeneration curve is carried out, and residual service life of the equipment is predicted. The method is advantaged in that a big data clustering modeling method is utilized, not only can effectively different evaluation on the equipment cluster health state be carried out, but also model redundancy of cluster modeling can be reduced, the internal structure of the model is simplified, normal operation of the cluster equipment is guaranteed, and use values of the equipment can be mined to a maximum degree.

A context recognition unit decides a user's context by comparing context recognition rules to the user's information, and outputs context recognition data based on the user's context. A processing selection unit decides a contents type by comparing processing selection rules to the context recognition data, and outputs contents creation request data based on the contents type. A contents delivery unit obtains contents based on the contents creation request data, and delivers the contents to the user's terminal. A question creation unit creates a question about the contents delivery for the user. Each context recognition rule and each processing selection rule includes a priority degree. The question creation unit specifies the context recognition rule or the processing selection rule based on the user's answer to the question, and changes the priority degree of the specified rule.

A community is extracted by executing steps of: clustering relationship data; extracting a communication core of a relationship network; mapping the communication core to a dendrogram of relationship data; forming a community by using the dendrogram in accordance with a similarity degree of relationship data while the cluster is expanded; and aggregating communities. A community of a set of persons having high density relationships based on common topics and interests can be extracted from a set of human relationships and relationship data representative of the human relationships.