401 results about "Usage analysis" patented technology

In embodiments, systems and methods may involve using a platform as disclosed herein for applications described herein where the systems and methods involve receiving a dataset in an analytic platform, the dataset including fact data and dimension data for a plurality of distinct product categories. It may also involve storing the data in a flexible hierarchy, the hierarchy allowing the temporary fixing of data along a dimension and flexible querying along other dimensions of the data. It may also involve pre-aggregating certain combinations of data to facilitate rapid querying, the pre-aggregation based on the nature of common queries. It may also involve facilitating the presentation of a cross-category view of an analytic query of the dataset. In embodiments, the temporarily fixed dimension can be rendered flexible upon an action by the user.

An ontology-based parser incorporates both a system and method for converting natural-language text into predicate-argument format that can be easily used by a variety of applications, including search engines, summarization applications, categorization applications, and word processors. The ontology-based parser contains functional components for receiving documents in a plurality of formats, tokenizing them into instances of concepts from an ontology, and assembling the resulting concepts into predicates. The ontological parser has two major functional elements, a sentence lexer and a parser. The sentence lexer takes a sentence and converts it into a sequence of ontological entities that are tagged with part-of-speech information. The parser converts the sequence of ontological entities into predicate structures using a two-stage process that analyzes the grammatical structure of the sentence, and then applies rules to it that bind arguments into predicates.

The present invention relates to systems and methods providing content-access-based information retrieval. Information items from a plurality of disparate information sources that have been previously accessed or considered are automatically indexed in a data store, whereby a multifaceted user interface is provided to efficiently retrieve the items in a cognitively relevant manner. Various display output arrangements are possible for the retrieved information items including timeline visualizations and multidimensional grid visualizations. Input options include explicit, implicit, and standing queries for retrieving data along with explicit and implicit tagging of items for ease of recall and retrieval. In one aspect, an automated system is provided that facilitates concurrent searching across a plurality of information sources. A usage analyzer determines user accessed items and a content analyzer stores subsets of data corresponding to the items, wherein at least two of the items are associated with disparate information sources, respectively. An automated indexing component indexes the data subsets according to past data access patterns as determined by the usage analyzer. A search component responds to a search query, initiates a search across the indexed data, and outputs links to locations of a subset and/or provides sparse representations of the subset.

A method of measuring an analyte concentration in body fluid. The method includes the use of an analyte measuring device that has an analyte sensing element with a sharpened distal end and further has an indicating electrode covered by an absorbent layer. Also, an electric power, data processing and display device is adapted to mate to and activate the analyte sensing element by applying electric power to it and adapted to receive the raw analyte measurement and to compute and display a refined analyte measurement from the raw analyte measurement. The analyte sensing element is introduced into the animal body, thereby placing the absorbent layer into contact with the body fluid. The absorbent layer becomes saturated with body fluid and the analyte sensing element is removed from the body and is activated to form a raw analyte measurement. Which is used to form and display a refined analyte measurement.

The present invention comprises methods and apparatuses that can provide measurement of glucose and other analytes with a variety of sensors without many of the performance-degrading problems of conventional approaches. As apparatus according to the present invention comprises a blood access system, adapted to remove blood from a body and infuse at least a portion of the removed blood back into the body. Such an apparatus also comprises an analyte sensor, mounted with the blood access system such that the analyte sensor measures the analyte in the blood that has been removed from the body by the blood access system. A method according to the present invention comprises removing blood from a body, using an analyte sensor to measure an analyte in the removed blood, and infusing at least a portion of the removed blood back into the body. The use of a non-contact sensor with a closed system creates a system will minimal infection risk.

A computerized system for monitoring and maintaining the health of a person comprising the steps of (a) obtaining parameter data from the patient and inputting the parameter data into a computer database; (b) analyzing the parameter data using a computerized statistical modeling technique module and a computerized adaptive expert system shell for the prediction of a health event in the lifetime of the patient; (c) using the analyzed data to developed a health maintenance schedule for the patient, and (d) embedding and/or linking such data onto a microprocessor powered smart card.

A method and a system for analyzing a data value of interest in a multidimensional database. The data value of interest is first identified in a structured report. The data source for the structured report is retrieved. A context for the data value of interest in the data source is collected, for example, by extracting a slicer from the structured report, by extracting members of master-detail pages, or by extracting a default measure from the structured report. An analysis specification based on the collected context is then built, and the data value of interest is analyzed using the analysis specification. The result from analyzing the data value of interest may be presented in an analysis view.

A proactive, resilient and self-tuning memory management system and method that result in actual and perceived performance improvements in memory management, by loading and maintaining data that is likely to be needed into memory, before the data is actually needed. The system includes mechanisms directed towards historical memory usage monitoring, memory usage analysis, refreshing memory with highly-valued (e.g., highly utilized) pages, I/O pre-fetching efficiency, and aggressive disk management. Based on the memory usage information, pages are prioritized with relative values, and mechanisms work to pre-fetch and/or maintain the more valuable pages in memory. Pages are pre-fetched and maintained in a prioritized standby page set that includes a number of subsets, by which more valuable pages remain in memory over less valuable pages. Valuable data that is paged out may be automatically brought back, in a resilient manner. Benefits include significantly reducing or even eliminating disk I/O due to memory page faults.

A system for automated concurrency configuration of multi-threaded programs comprises one or more processors and memory coupled to the processors. The memory stores program instructions executable by the processors to implement a resource management tool. The resource management tool is configured to determine respective target values for one or more concurrency configuration parameters to be set in a deployment of an application using an analytic model and a set of performance metrics obtained from the application (e.g., values of throughput, response times, and corresponding resource utilization measurements), and to deploy the application with the concurrency configuration parameters set to the target values.

A method is provided for analyte measurement by a user using an analyte measurement device. An analyte measurement is provided with a plurality of penetrating members and analyte sensors. Each analyte sensor is positioned in a sample chamber with a volume no greater than 1 μl. Each sample chamber has a working electrode, reference electrode and a counter electrode. The working electrode has a conductor, an enzyme and a mediator. A penetrating member and an unused analyte detecting member are presented into an active position. The following steps are then performed: (a) the penetrating member is fired to prick the skin and bring a fluid sample to the analyte detecting member, (b) the analyte level is measured, and (c) it takes no more than 10 seconds from the step of presenting the penetrating members and unused analyte into the active position through the step of measuring the analyte level.

Systems and methods for automating data science machine learning using analytical workflows are disclosed that provide for user interaction and iterative analysis including automated suggestions based on at least one analysis of a dataset.

The present invention provides for a system, method, and device for analyzing, localizing and/or identifying tissue types. The method includes analyzing, localizing and/or identifying one or more tissue samples, characterized in that the method comprises: (a) generating gaseous tissue particles from a site in the one or more tissue samples, (b) transporting the gaseous tissue particles from the site to an analyser, (c) using the analyser for generating tissue-related data based on the gaseous tissue particles, and (d) analyzing, localizing and/or identifying the one or more tissue samples based on the tissue-related data. The invention can either be used in close conjunction with a surgical procedure, when one or more surgical tools are an integrated part of ionization, or as a separate mass spectrometric probe for the analysis of one or more tissue parts.

A noninvasive glucose concentration analyzer having an optical probe with incident and collection optics and a channel for coupling fluid delivery is disclosed. Fluid is delivered through the channel to a skin tissue site that is subsequently optically sampled using the analyzer.

A method for measuring and managing an analyte (e.g., blood glucose) in a bodily fluid includes storing a therapeutic administration protocol in a memory module of an analyte measurement and management device and measuring the analyte in the bodily fluid sample using an analyte measurement module of the device. The method also includes calculating, with a processor module of the device, a recommended therapeutic agent dosage (for example, an insulin dosage) and a recommended administration time for user-activated delivery of the dosage by employing the therapeutic administration protocol. The method further includes displaying the recommended therapeutic agent dosage and administration time to a user on a visual display of the device, delivering a therapeutic agent dosage to the user via a user-activated therapeutic agent delivery device, and detecting the user-activated administration of the therapeutic agent using a delivery device communication module of the device. In addition, the method includes communicating the aforementioned detection to the processor module and/or memory module using the delivery device communication module. The method employs analyte measurement, memory, processor, and delivery device modules, as well as a visual display, and user interface that are integrated as a single hand-held unit.

Coverage metrics are expressed with an intuitive graphical interface based upon data flow. Coverage analysis and presentation objects are integrated to produce coverage results which enable device functionality in a device under test to be modeled as objects, subject to event occurrence. Event objects are introspected at run-time, allowing the user to determine the event object's attributes with specification of coverage metrics subject to a selected combination of the event object's attributes. The event objects are serialized into permanent storage, allowing the user to specify and execute new coverage metrics at any time after simulation. Operations used to describe coverage metrics are modeled as analysis objects. Such analysis objects accept event objects as inputs, using a predetermined, well-defined interface. The combination of event objects and analysis objects allows coverage metrics to be specified in a simple data flow manner. With such a coverage metric, the user attaches or wires (metaphorically) the analysis objects together in a visual builder environment. Using the analysis objects, the user specifies desired coverage metrics, such as coverage of sequences of events and/or coverage of events that occur during the same time window of a simulation. The display functionality of the coverage tool is expandable because the presentation objects use the same event object interface as the analysis operator objects. Coverage metrics are subject to specification either before or after event occurrence. The user specifies coverage metrics using an intuitive graphical interface based upon data flow, without any specific programming language skills being necessary. Functional events in the device under test are treated as event objects. Each event object may be passed to selected analysis tools chosen by the user, such as analyzers, logic gates, and coincidence counters.

A computer implemented method, apparatus, and computer usable program product for creating a labor standard for a task. The process automatically detects event data derived from a continuous video stream, wherein the event data comprises metadata describing a sequence of motions for performing the task, and parses the event data to identify appropriate event data describing a discrete set of motions from the sequence of motions. The process then analyzes, using an analysis server, the discrete set of motions to form a labor standard, wherein the labor standard specifies an optimal manner of performing the discrete set of motions. Thereafter, the process generates a set of recommendations for performing the task efficiently according to the labor standard.

A method and system of generating performance metrics for network traffic being transferred in and out of an intranet. Network traffic is non-intrusively measured from a server to client perspective within periodic measurement time intervals. The network traffic is analyzed based on each connection made from a server to a client and the measurement time interval. Using the network traffic analyzed, performance metrics are generated. Accumulated performance metrics are also generated when a connection extends beyond a measurement time interval.