509 results about "Empirical data" patented technology

A distributed hierarchical evolutionary modeling and visualization of empirical data method and machine readable storage medium for creating an empirical modeling system based upon previously acquired data. The data represents inputs to the systems and corresponding outputs from the system. The method and machine readable storage medium utilize an entropy function based upon information theory and the principles of thermodynamics to accurately predict system outputs from subsequently acquired inputs. The method and machine readable storage medium identify the most information-rich (i.e., optimum) representation of a data set in order to reveal the underlying order, or structure, of what appears to be a disordered system. Evolutionary programming is one method utilized for identifying the optimum representation of data.

A system and method for collecting and correlating information about development of a computer software, including software tools reports. The system and method provides overview of entire software development lifecycle, provides decision support engine for project management, allows estimation of project timelines based upon empirical data, allows evaluation of project quality based upon empirical data, and correlates information from previous projects to estimate progress of current project (confidence factors). The system and method for collecting and correlating information about development of a computer software include collecting data from a plurality of software tools during each point in lifecycle of the computer software; storing the collected data in a database; and correlating the stored collected data to monitor the development of the computer software.

A method and system (30, 50) for predicting the immediate success of a defibrillatory shock during cardiac arrest are shown. The sequencing of cardiopulmonary resuscitation is determined by an electronic computer (80) based on the probability of success as determined by a comparison of the amplitude spectrum area or the power spectrum area of an electrocardiogram sample and to empirical data. When the probability of successful resuscitation is 80% or greater, immediate defibrillation is implemented. When the probability of success is 20% or less, advanced cardiopulmonary resuscitation is implemented. When the probability of success remains greater than 20% but less than 80% for a period of four minutes, the patient is also defibrillated.

A Knowledge-Engineering Protocol-Suite is presented that generally includes methods and systems, apparatus for search-space organizational validation, and appurtenances for use therewith. The protocol-suite includes a search-space organizational validation method for synergistically combining knowledge bases of disparate resolution data-sets, such as by actual or simulated integrating of lower resolution expert-experience based model-like templates to higher resolution empirical data-capture dense quantitative search-spaces. Furthermore, from alternative technological vantages, the suite relates to situations where this synergetic combining is beneficially accomplished, such as in control systems, command control systems, command control communications systems, computational apparatus associated with the aforesaid, and to quantitative modeling and measuring tools used therewith. The protocol-suite also includes facile algorithmic tools for use with the method and a process-modeling computer for use in a distributed asynchronous system of process modeling computers.

In one aspect, the invention provides a method for modeling the performance of a fixed cutter bit drilling an earth formation. In one embodiment, the method includes selecting a drill bit and an earth formation to be represented as drilled, simulating the bit drilling the earth formation, displaying the simulating, and adjusting at least one parameter affecting the performance. The method of design is used to make a fixed cutter drill bit. In another embodiment the method includes numerically rotating the bit, calculating bit interaction with the earth formation during the rotating, and determining the forces on the cutters during the rotation based on the calculated interaction with earth formation and empirical data.

Non-imaging measurement is made of misalignment of lithographic exposures by illuminating periodic features of a mark formed by two lithographic exposures with broadband light and detecting an interference pattern at different wavelengths using a specular spectroscopic scatterometer including a wavelength dispersive detector. Misalignment can be discriminated by inspection of a spectral response curve and by comparison with stored spectral response curves that may be empirical data or derived by simulation. Determination of best fit to a stored spectral curve, preferably using an optimization technique can be used to quantify the detected misalignment. Such a measurement may be made on-line or in-line in a short time while avoiding tool induced shift, contact with the mark or use of a tool requiring high vacuum.

After defining a relevant market area around a selected geographical point, a map is generated using stored geographical map information around a selected geographical point and a geographical area is selected around that point. Multiple bands are formed on the map around the geographical point and market information is gathered from a database for the defined geographical area. The bands are weighted based according to empirical data drawn from within the market area, if available, or from data from a demographically matched location. A net demand model is constructed to perform point studies, comparison studies, area studies, and multi-unit simulations for the selected geographical area.

Methods, apparatus, and articles of manufacture to iteratively compile software to meet user-defined criteria are disclosed. A disclosed example method receives target performance characteristics from a user and compiles source code to generate object code. The object code is then analyzed to determine measured performance characteristics. The measured performance characteristics are then compared to the target performance characteristics. If the measured performance characteristics are unacceptable based on the target performance characteristics, the one of a plurality of compiler options configurations is selected based on empirical data correlating the compiler options configurations to structural characteristics of at least one of the source code or the object code. Without obtaining further user input, the operations are repeated one or more times until the measured performance characteristics are substantially equal to the target performance characteristics or until a predetermined number of recompilations have occurred.

A method and processing system for generating a workflow graph from empirical data of a process are described. Data for multiple instances of a process are obtained, the data including information about task ordering. The processing system analyzes occurrences of tasks to identify order constraints. A set of nodes representing tasks is partitioned into a series of subsets, where no node of a given subset is constrained to precede any other node of the given subset unless said pair of nodes are conditionally independent given one or more nodes in an immediately preceding subset, and such that no node of a following subset is constrained to precede any node of the given subset. Nodes of each subset are connected to nodes of each adjacent subset with edges based upon the order constraints and based upon conditional independence tests applied to subsets of nodes, thereby providing a workflow graph.

A system and method for providing balanced, automated regulation of a patient's physiological condition by monitoring at least one physiological parameter and, optionally, monitoring and controlling additional physiological parameters, is disclosed. The system includes a physiological parameter monitor, an intelligent control device and a multi-channel delivery device for providing controlled intravenous delivery of at least two medications that affect the physiological condition being controlled. Control logic in the intelligent control device is derived by an algorithm based on model predictive control. The control logic includes mathematically modeled systems, empirical data systems or a combination thereof. The system of the present invention is optionally included in a networked system to provide centralized data storage and archival of system information as well as data export and query capabilities that can be used for patient file management, health care facility management and medical research.

A method for compensating for a temperature-related error in an electrochemical sensor without using separate sources of temperature measurement by measuring sensor current, temporarily lowering sensor voltage to a first level below a reaction-sustaining threshold, measuring a first offset current, adjusting sensor voltage to a second level below the threshold, measuring a second offset current, calculating a difference between the offset currents, deriving a temperature compensation value from the difference based on empirical data, and adding the value to the measured sensor current. A computer system may execute the method as an algorithm stored in memory, provide automatic control of the sensor, and provide continuous display of corrected output values.

In one aspect, the invention provides a method for modeling the performance of a fixed cutter bit drilling an earth formation. In one embodiment, the method includes selecting a drill bit and an earth formation to be represented as drilled, simulating the bit drilling the earth formation, displaying the simulating, and adjusting at least one parameter affecting the performance. The method of design is used to make a fixed cutter drill bit. In another embodiment the method includes numerically rotating the bit, calculating bit interaction with the earth formation during the rotating, and determining the forces on the cutters during the rotation based on the calculated interaction with earth formation and empirical data.

The present invention provides methods, systems, and code for accurately classifying whether a sample from an individual is associated with irritable bowel syndrome (IBS). In particular, the present invention is useful for classifying a sample from an individual as an IBS sample using a statistical algorithm and / or empirical data. The present invention is also useful for ruling out one or more diseases or disorders that present with IBS-like symptoms and ruling in IBS using a combination of statistical algorithms and / or empirical data. Thus, the present invention provides an accurate diagnostic prediction of IBS and prognostic information useful for guiding treatment decisions.

A method and system for automatically providing access options to a remote user of a data network that utilizes a network-based connection analysis server to determine the “best available” connection arrangement to provide access for the remote user. The connection analysis server contains a database of empirical access / connection data based on the past experience of user's attempting to connection to remotely-located data networks (for example, success of connection, speed of connection, cost, etc.). The server initiates the inventive process by querying the remote user for geographic location information, determining access options available at the responded geographic location by comparing the geographic location to the empirical data, and then selecting a “best available” connection option (or options) to the remote user for approval.

A system for diagnosing Long QT Syndrome (LQTS) derives a QT / QS2 ratio from an electrical systole (QT) and a mechanical systole (QS2) to detect a prolonged QT interval in a patient's cardiac cycle. A processor acquires the systoles from a microphone and chest electrodes, calculates the QT / QS2 ratio, and outputs the result to a display. The processor may compare the QT / QS2 ratio to a threshold value stored in memory for diagnosing LQTS in the patient. A user interface provides for programming, set-up, and customizing the display. A mode selector allows the system to operate alternatively as a phonocardiograph, a 12 lead electrocardiograph, or a machine for diagnosing LQTS. A related method for diagnosing cardiac disorders such as LQTS includes measuring QT and QS2 during a same cardiac cycle, calculating a QT / QS2 ratio, and comparing the result to a threshold value derived from empirical data. The method may include measuring systoles both at rest and during exercise, and may be used for drug efficacy, dosage optimization, and acquired LQTS causality tests.

Systems and methods for presenting fraud detection information are presented. In one example, a computer system analyzes empirical data to detect potentially fraudulent activity and alerts users of the potentially fraudulent activity via a fraud detection user interface. The fraud detection user interface determines a set of user interface components to suitable to present the potentially fraudulent activity and presents facts associated with the potentially fraudulent activity to a user for further analysis and investigation.

A disease-specific ontology crafted by a consensus of expert clinicians may be used to semantically characterize / provide semantic meaning to dynamically changing patient electronic medical record (EMR) data in critical care settings. Hierarchical, directed node-edge-node graphs (concept maps or Vmaps) developed with an end-user friendly graphical user interface and ontology editor, can be used to represent structured clinical reasoning and serve as the first step in disease-specific ontology building. Disease domain Vmaps reflecting expert clinical reasoning associated with management of acute illnesses encountered in critical care settings (e.g. ICUs) that extend core clinical ontologies, developed and reviewed by experts, are in turn extended with existing medical ontologies and automatically translated to a domain ontology processing engine. Semantically-enhanced EMR data derived from the ontology processing engine is incorporated into both real-time ‘track and trigger” rule engines and machine learning training algorithms using aggregated data. The resulting rule engines and machine-learnt models provide enhanced diagnostic and prognostic information respectively, to assist in clinical dual modes of reasoning (analytical rules and models based on experiential data) to assist in decisions associated with the specific disease in acute critical care settings.

A system for automatic control of a process, comprising a process model using data and further comprising a data model for generating data for said process model and an empirical data extractor for extracting data from said process for said model, and wherein said data used by said process model is interchangeable between data obtained by said data model and data obtained by said extractor. The data model may be a partly statistical partly empirical orthogonal process model. The system is useful in allowing control systems using empirical prediction methods to perform automatic control before having built up a full results database.

According to an embodiment of the disclosure, a method for monitoring a battery pack is provided. The battery pack includes a plurality of modules and a pack controller, and each module includes a corresponding module controller. For each module, the method includes measuring a module current and measuring a module voltage. The measured module current and the measured module voltage are compared to state of health (SOH) data in at least one dynamic look-up table. A state of charge for the module is determined based on the comparison of the measured module current and the measured module voltage to the SOH data in the dynamic look-up table. For a particular embodiment, the dynamic look-up table is initially configured based on a type of battery chemistry for the battery pack, and after each charge cycle for the module, the dynamic look-up table is updated based on empirical data for the module.

A method for evaluating and quantifying the risk, performance and potential of a business is disclosed. Experiential data generated by the business' activities is extracted and used as source data in evaluating the business. Experiential data includes both qualitative and quantitative information compiled from operating systems, databases, interviews, paper-based files and financial records. Business activities are measured individually and then collectively to understand the business as a whole. A set of metrics and a series of algorithms are used to measure the risk, performance and potential of the business drawing from the outset on the experiential data collected and a comparison to industry best practices.

In one aspect, the invention provides a method for modeling the dynamic performance of a fixed cutter bit drilling earth formations. In one embodiment, the method includes selecting a drill bit and an earth formation to be represented as drilled, simulating the bit drilling the earth formation. The simulation includes at least numerically rotating the bit, calculating bit interaction with the earth formation during the rotating, and determining the forces on the cutters during the rotation based on the calculated interaction with earth formation and empirical data.

Apparatus, methods, and program products for determining where to position received transitory audio within a experiential data stream so as to provide minimal disruption to the experiential data stream.

Systems and methods for controlling exhaust steam temperatures from a finishing superheater are provided. In certain embodiments, the system includes a controller which includes control logic for predicting an exhaust temperature of steam from the finishing superheater using model-based predictive techniques (e.g., based on empirical data or thermodynamic calculations). Based on the predicted exhaust temperature of steam, the control logic may use feed-forward control techniques to control the operation of an inter-stage attemperation system upstream of the finishing superheater. The control logic may determine if attemperation is required based on whether the predicted exhaust temperature of steam from the finishing superheater exceeds a set point temperature as well as whether the inlet temperature of steam into the finishing superheater drops below a set point temperature of steam. The attemperation system may include a characterizing function to linearize the valve operation controlled by the control logic to inject cooled, high-pressure feedwater into the steam upstream of the finishing superheater, which may, in turn, control the exhaust temperature of steam from the finishing superheater. The disclosed embodiments may also be applied to any systems where an outlet temperature of a fluid from a heat transfer device may be controlled.

There are many inventions described and illustrated herein. In one aspect, the present inventions relate to oscillator systems which employ a plurality of microelectromechanical resonating structures, and methods to control and / or operate same. The oscillator systems are configured to provide and / or generate one or more output signals having a predetermined frequency over temperature, for example, (1) an output signal having a substantially stable frequency over a given / predetermined range of operating temperatures, (2) an output signal having a frequency that is dependent on the operating temperature from which the operating temperature may be determined (for example, an estimated operating temperature based on a empirical data and / or a mathematical relationship), and / or (3) an output signal that is relatively stable over a range of temperatures (for example, a predetermined operating temperature range) and is “shaped” to have a desired turn-over frequency.

A strategic method for process control wherein the method includes, for a predetermined process juncture, the steps of: (A) defining an interconnection cell having associated therewith (i) at least one set of input data or at least one set of process control parameters, and (ii) at least one set of output data; (B) assigning at least one boundary value to at least one set of the sets associated with the defined interconnection cell; (C) using the assigned at least one boundary value, forming a plurality of discrete respective set combinations, and (D) for the interconnection cell, processing data from the plurality of respective formed set combinations into respective corresponding data record clusters.The strategic method for process control is a continuation-in-part of a Knowledge-Engineering Protocol-Suite, (U.S. patent application Ser. No. 09 / 588,681 filed on 7 Jun. 2000) incorporated herein by reference, that generally includes methods and systems, apparatus for search-space organizational validation, and appurtenances for use therewith. The protocol-suite includes a search-space organizational validation method for synergistically combining knowledge bases of disparate resolution data-sets, such as by actual or simulated integrating of lower resolution expert-experience based model-like templates to higher resolution empirical data-capture dense quantitative search-spaces. The protocol-suite includes facile algorithmic tools for use with the method.

A solution for managing a business transformation is provided. The invention obtains an impact of a business solution for the business transformation on a business concern for an enterprise and relationship information for the business concern with one or more other business concerns and / or value (business) metrics. The impact of the business solution is propagated to a set of business concerns and / or value metrics based on the relationship information. The impact can include a time delay factor, which can be used during evaluation to perform numerous financial related metrics (e.g., return on investment). The relationship information and / or impact can be derived from empirical data using regression analysis or the like. In order to facilitate evaluation of the business transformation, various improved graphical interfaces can be generated that highlight the changes caused by the business transformation for use by a user.

A method and system for purchased-based segmentation of potential customers employs the use of actual, observed purchases instead of presumptions and correlations to improve the accuracy of segmentation and involves collecting empirical data for a client on actual purchasing behavior of a group of customers and applying statistical modeling techniques to the empirical purchasing behavior data to identify segments or clusters of the customers that exhibit similar purchasing propensity characteristics. Thereafter, the segments or clusters are further differentiated from one another according to other factors having a tendency to directly affect actual purchasing behavior of the customers within the segments or clusters, and potential customers are then identified according to a correlation with the segments or clusters for customized marketing.