784 results about "Smart data" patented technology

A method, system, and computer program product related to the diagnosis of diabetes, and is directed to predicting the long-term risk of hyperglycemia, and the long-term and short-term risks of severe hypoglycemia in diabetics, based on blood glucose readings collected by a self-monitoring blood glucose device. The method, system, and computer program product pertain directly to the enhancement of existing home blood glucose monitoring devices, by introducing an intelligent data interpretation component capable of predicting both HbA_1c and periods of increased risk of hypoglycemia, and to the enhancement of emerging continuous monitoring devices by the same features. With these predictions the diabetic can take steps to prevent the adverse consequences associated with hyperglycemia and hypoglycemia.

A contact intelligence data mining tool for storing, processing, displaying, and printing relational patterns between entities (e.g., business and other contacts). The tool allows proprietary individual contact data to be merged with accurate and up-to-date public information in order to explore the full scope (or sphere) of an individual's or business concern's scope of influence. It intelligently establishes and presents personal, direct contacts as well as contacts of contacts, and so on. The tool further displays, via a graphical user interface, the optimal relationship path (i.e., contact pathway) to reach desired contacts.

An intelligent data assimilation system including an ontology description, workflows, and logical search objects. The logical search objects operably connect to external and internal data providers and return search results using an ontology describing atomic data objects and semantic objects. The semantic objects are grouped into larger semantic structures by workflows to create customized services that return search results termed data products. Services are accessed through an application server capable of responding to service requests from different types of data clients. Graphical user interfaces provide facilities for creating logical search objects and aggregating logical search objects into workflows and services.

A data storage and retrieval device and method is disclosed. The device includes at least one magnetic storage medium configured to store target data and at least one re-configurable logic device comprising an FPGA coupled to the at least one magnetic storage medium and configured to read a continuous stream of target data therefrom, having been configured with a template or as otherwise desired to fit the type of search and data being searched. The re-configurable logic device is configured to receive at least one search inquiry in the form of a data key and to determine a match between the data key and the target data as it is being read from the at least one magnetic storage medium. This device and method can perform a variety of searches on the target data including without limitation exact and approximate match searches, sequence match searches, image match searches and data reduction searches. This device and method may be provided as part of a stand-alone computer system, embodied in a network attached storage device, or can otherwise be provided as part of a computer LAN or WAN. In addition to performing search and data reduction operations, this device may also be used to perform a variety of other processing operations including encryption, decryption, compression, decompression, and combinations thereof.

Apparatuses and methods for forming displays are claimed. One embodiment of the invention includes a contact smart card wherein fluidic self assembly is used to build the microelectronic structures on the display such that a contact smart data is transmitted unidirectionally. A contact smart card is inserted directly into a device that transfers data to a display coupled to the smart card. Another embodiment of the invention relates to a contactless smart card in which fluidic self assembly is also used here to build the display. Data is transmitted to an antenna that is embedded in the contactless card in which a plurality of blocks were deposited thereon.

Provided is a system and method of organizing community intelligent information by using an organic matter data model. The method comprises the steps of receiving one or a plurality of web pages containing community intelligent data; conducting segmentation on the content of one or a plurality of web pages containing the community intelligent data; identifying the named entity of the segmented content in the one or a plurality of web pages; identifying the theme of the segmented content in the one or a plurality of web pages; identifying the opinion of the segmented content in the one or a plurality of web pages; integrating the identified named entity, theme and opinion to establish an organic matter data model; saving organic matter data relevant to the established organic matter data module in the organic matter database.

Systems and methods for seamlessly integrating disparate data systems to securely, customizably and dynamically collaborate and share real-time information, and for providing intelligent data sharing that supports multiple standards concurrently and provides automatic conversioning of data information. A universal scripting language is used across disparate systems in coordination with dynamic interfacing technologies, data protocol and format conversion technologies, and transport-layer secure socket technologies. Information is transmitted and received across a plurality of disparate systems, applications, and/or devices, across a plurality of disparate frequencies, regardless of the protocol employed by each of the plurality of any disparate system, application and/or device.

An electronic assistant which dispatches tasks on the user's behalf and according to his or her preferences is disclosed. The assistant has an enactor for processing data received from a sensor and for changing its environment via an actuator. The enactor receives instruction from a predictor/goal generator, which in turn is connected to a general knowledge warehouse. Additionally, the warehouse and the predictor/goal generator are connected to a plurality of specialist knowledge modules, including a scheduler, an information locator, a communicator, a form filler, a trainer, a legal expert, a medical expert and other experts. The electronic assistant provides an interface which frees the user from learning complex search languages and allows some functions to be automatically performed. A variety of machine learning processes allow the assistant to learn the user's styles, techniques, preferences and interests. After learning about the user's interests in particular types of information, the assistant guides the user through the process of on-line information source selection, utilization, and interaction management via the information locator. The information locator generates a query conforming to the user characteristics for retrieving data of interest. The information locator next submits the query to one or more information sources. Upon receipt of results of the submitted query, the information locator communicates the results to the user, and updates the knowledge warehouse with responses from the user to the results. The assistant supports the ability to refine the query and to manage the costs associated with the search. Further, the assistant automatically incorporates data relating to changes in the query interface and other relevant characteristics of the information sources so that search command sequences can be altered without user interaction. The search configuration of each search carried out by the user is saved in a database. The data maintained in the database includes keywords and concepts for search, interval between subsequent searches, deadline for the search, the number of documents to acquire from each engine, and domain over which to do the search, including the preferred set of search engines or the preferred set of news groups.

Data traffic is intelligently steered by an adaptive load balancer through a software defined network (SDN) to which the load balancer is operatively coupled. The network has egress ports to which a plurality of servers is connected. The network has an SDN controller which generates statistical information concerning the network. Data traffic is steered through the SDN by the adaptive load balancer using a passive port method, a passive path, method, an active path method and an active path with quality of service (QoS) overlay method.

A secure cashless gaming system comprises a plurality of gaming devices which may or may not be connected to a central host network. Each gaming device includes an intelligent data device reader which is uniquely associated with a security module interposed between the intelligent data device reader and the gaming device processor. A portable data device bearing credits is used to allow players to play the various gaming devices. When a portable data device is presented to the gaming device, it is authenticated before a gaming session is allowed to begin. The intelligent data device reader in each gaming device monitors gaming transactions and stores the results for later readout in a secure format by a portable data extraction unit, or else for transfer to a central host network. Gaming transaction data may be aggregated by the portable data extraction unit from a number of different gaming devices, and may be transferred to a central accounting and processing system for tracking the number of remaining gaming credits for each portable data unit and/or player. Individual player habits can be monitored and tracked using the aggregated data. The intelligent data device reader may be programmed to automatically transfer gaming credits from a portable data device the gaming device, and continually refresh the credits each time they drop below a certain minimum level, thus alleviating the need for the player to manually enter an amount of gaming credits to transfer to the gaming device.

A logical file system is described that distributes copies of files across various different physical storage resources yet provides a consistent view to the user of his or her data, regardless of which machine the user is accessing the files from, and even when the user's computer is offline. The distributed file system uses smart data redundancy to enable a virtually infinite amount of storage as long as additional storage resources are made available to the distributed file system. The result is a reliable storage system that does not necessarily tie the user's data to the user's particular computer. Instead, the user's data is associated with the user—for life—or for however long the user would like the data to be maintained, regardless of whether the user's computer or data storage components are replaced or destroyed.

A system is provided for enabling a user to extract useful information from a collection of business data. Relationships that connect various data elements are analyzed in order to identify intelligent data navigation paths. The intelligent data navigation paths are utilized as a basis for enabling the user to move between related sets of data.

Stubbing systems and methods are provided for intelligent data management in a replication environment, such as by reducing the space occupied by replication data on a destination system. In certain examples, stub files or like objects replace migrated, de-duplicated or otherwise copied data that has been moved from the destination system to secondary storage. Access is further provided to the replication data in a manner that is transparent to the user and/or without substantially impacting the base replication process. In order to distinguish stub files representing migrated replication data from replicated stub files, priority tags or like identifiers can be used. Thus, when accessing a stub file on the destination system, such as to modify replication dath or perform a restore process, the tagged stub files can be used to recall archived data prior to performing the requested operation so that an accurate copy of the source data is generated.

Stubbing systems and methods are provided for intelligent data management in a replication environment, such as by reducing the space occupied by replication data on a destination system. In certain examples, stub files or like objects replace migrated, de-duplicated or otherwise copied data that has been moved from the destination system to secondary storage. Access is further provided to the replication data in a manner that is transparent to the user and/or without substantially impacting the base replication process. In order to distinguish stub files representing migrated replication data from replicated stub files, priority tags or like identifiers can be used. Thus, when accessing a stub file on the destination system, such as to modify replication data or perform a restore process, the tagged stub files can be used to recall archived data prior to performing the requested operation so that an accurate copy of the source data is generated.

An adaptive load balancer intelligently steers data traffic through a software defined network (SDN) to which the load balancer is operatively coupled. The network has egress ports to which a plurality of servers is connected. The network has an SDN controller which generates statistical information concerning the network. The adaptive load balancer includes a weighted round robin scheduler module which receives client requests and, based on the statistical information generated by the SDN controller, determines a weight to be attributed to each server of the plurality of servers connected to the network. The adaptive load balancer operates in a passive port mode, a passive path mode, an active path mode and an active path with quality of service (QoS) overlay mode.

A query engine residing on computer-readable media includes a library of data drivers and an intelligent dataset. Each data driver in the library is operable to execute a predefined database operation. The intelligent dataset is operable in response to a query request to identify from the library necessary data drivers to perform the request. The intelligent dataset is further operable to determine a necessary order of the necessary data drivers to perform the request, to generate a driver chain comprising the necessary data drivers in the necessary order, and to execute in order the data drivers in the driver chain.

An intelligent vehicle highway system collects and provides real-time traffic data to a vehicle traveling on a continental roadway network. A digitized continental roadway network has nodes interconnected by links that define a digitized representation of the continental roadway network. To enable intelligent data collection and navigation over large expanses of the continental network, which would otherwise be computationally onerous, the digitized continental roadway network is partitioned into a plurality of digitized roadway subnetworks. The onboard vehicle navigation device has a processor for executing an application that instantiates a subset of the digitized roadway subnetworks in a vicinity of a current position of the vehicle to collect and provide relevant real-time traffic data to the vehicle in a computationally efficient manner.