663results about How to "Facilitate decision-making" patented technology

A system and method configured to provide access to and management of information from a plurality of third party software development systems from a single application, where each software development system has a unique data module. Data is retrieved from third party software development tools and cached in a temporary repository to be merged and linked. Changes made are temporary until saved, at which point the changes are saved back to the software development system that originated the data. The system provides interactive manipulation and a consolidated view of merged data for more efficient management, collaboration and real-time editing without going into each individual software development system. This set up embraces and enhances the agile software development interaction while overcoming the software administration, management and maintenance issues of having a plurality of software development tools across a variety of project teams and locations, including geographically disperse locations.

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.

In a method of cognitive communication for non-interfering transmission, wherein the improvement comprises the step of conducting radio scene analysis to find not just the spectrum holes or White spaces; but also to use the signal classification, machine learning and prediction information to learn more things about the existing signals and its underlying protocols, to find the Gray space, hence utilizing the signal space, consisting of space, time, frequency (spectrum), code and location more efficiently.

In a method of cognitive jamming where smart and energy efficient jamming techniques are suggested based on sensing, classification and machine learning of the existing signals.

Vehicle Communications using IEEE 802.11p WAVE functionality includes structure and method whereby a smart phone (SP) linked to an On Board Unit (OBU) having WAVE functionality, and incorporating Automotive Telemetry Protocol (ATP), has at least one processor to configure the SP as a GUI for the OBU, and to enable WAVE authentication of the SP through a networked Road Side Unit. Preferably, the OBU opens, after a command from an ATP Client, a virtual connection for streaming data between the vehicle data bus and a remote server providing an automotive scan tool. Also preferably, the SP may use either cellular or IEEE 802.11 control signals to trialaterate its geographic position with greater accuracy than GPS, and to hand off the geo-position fixes to the OBU. Accumulated geo-location information may be reported to a remote server, providing a centralized geographic trend analysis of plural SPs operating with OBUs.

The invention relates to a method and apparatus for predicting a sudden heart abnormality for an individual patient. In order to provide a prediction mechanism that is suitable for acute care, three sub-indices are determined based on medical data obtained from the patient. The first sub-index indicates the level of deterministic chaos in the heart rate variability of the patient, the second sub-index indicates the energy level in the myocardium of the patient, and the third sub-index indicates the degree of ventricular arrhythmia of the patient. Based on the first, second, and third sub-indices, at least one overall risk index is then determined, the overall risk index indicating the risk level of a sudden heart abnormality for the patient.

Enterprise methods and systems are provided in which decision types are defined with attributes that can be stored as decision objects that assist in storing and executing decisions. The methods and systems include methods for logically linking decision processes based on commonality of decision variables across different aspects of an enterprise.

A system and method for optimizing decision-making for deal-making transactions through a probability-based analysis of historical data. The system includes a computing system which performs a statistical and probability-based analysis on historical data for a specific type of transaction. The analysis may be utilized by the user to make informed decisions based on the analysis performed by the computing system.

A method of recording and aggregating data related to visitor activity in an online auction environment, and of providing that data to a plurarity of online auction sellers for the purpose of improving the marketing of their online auctions. The present invention is comprised of computer programming code embedded in an online auction page, a dynamic tracking computer program that resides on a web server that receives and logs the data transmitted by said embedded code, and a computer program that resides on a web server that interprets and assembles the logged data into activity reports for auction sellers. Such reports include most and least popular search terms, most and least popular search variables, most and least popular item categories, most and least popular search terms within specific categories, most and least popular sorting methods, most and least popular days of the week, most and least popular times of the day, and others, including the rise and fall of the popularity of said search terms, categories, variables and methods over time.

A collection of data is processed and information arising from the processing can be distributed in a variety of ways to support a decision-making process. A query-analyze-distribute approach can be used, and queries, analysis directives, and distribution directives can be associated into a sequence and shared. Access to interim processing is provided, allowing recipients of information to more easily understand and refine the processing. Unbound queries, unbound analysis directives, and unbound distribution directives can be used and shared so that the queries, analysis directives, and distribution directives can be tailored to a particular situation via binding. The query, analysis, and distribution processing can be loosely-coupled to allow easy interchange and combination of sequence elements. A sequence can be scheduled for periodic execution, and distribution of data can be limited to instances when data falls outside of certain expected values. A decision-making process can be automated by creating an executable workflow. The environment in which the workflow is executed can support a rich set of features, including gating, branching, drill down, and execution tracking. A decision-making process based on a sequence can be refined by employing executable metasequences.

A television receiver system capable of receiving and demodulating television signal information content that has been modulated and transmitted in accordance with a variety of modulation formats is disclosed. In particular, the system is able to accommodate receipt and demodulation of at least 8 and 16-VSB modulated signals in order to support US HDTV applications, as well as 64 and 256-QAM modulated signals, for European and potential US CATV implementations. The system includes carrier and timing recovery loops adapted to operate on an enhanced pilot signal as well as decision directed carrier phase recovery loops. Phase detectors operate on I and Q rail signals, or generate a Q rail from a Hilbert transform of the I rail. Decision directed loops incorporate a trellis decoder in order to operate on sequence estimated decisions for improved reliability in poor SNR environments.

Methods and systems are provided for facilitating decision making through an improved recommendation system. The data used in the system, such as the questions and business logic for navigating between questions, is stored in relational database tables that are easy to access and edit by users. A backend application program reads the data and processes the navigation logic depending upon answers received from users to automatically generate a decision tree. Users are allowed to select questions earlier in the tree, and the application can regenerate a tree from the point of the selected question and on. The application program stores the questions to be presented in a structured document which is handed off to a user interface generation program.

This invention extends routing mechanisms that use link metrics for route selection so that: A link metric cross correlation vector is determined for all links, where each element in the vector corresponds to some other link, and reflects the change in the link metric value if a data flow would already use this other link. The invention further describes a specific embodiment where all cross-correlating links are adjacent to each other, i.e., they terminate or originate in a common node. A mechanism is described to create an extended routing graph. This extended graph permits the use of standard polynomial time algorithms that simultaneously construct the optimal route and find the optimal route metric (such as shortest-path algorithms) also for the adjacent link cross-correlating case.

The automated fault diagnostic system operates on engine-compressor sets with one vibration sensor per sub-group of engine cylinders and one sensor per compressor cylinder. Vibration signals linked to crankshaft phase angle windows (“VT”) mark various engine events and compressor events. In data-acquisition-learning mode, VT is stored for each engine and compressor event per operating load condition, statistical process control (SPC) theory identifies alarm threshold bands. Operator input-overrides are permitted. If no baseline data is stored, the system automatically enters the learn mode. To monitor, current VT are obtained and current load condition is matched to the earlier load set and alarms issue linking predetermined engine or compressor event to the over-under VT. Baseline data, SPC analysis, alarms and monitoring are set for crankcase flow, engine cylinder exhaust temperatures, ignition system diagnostic messages. Compressor performance alarms use suction and discharge temperatures and pressures.

A metric, Investment Participation at Cost (IPAC) has been developed to determine the amount of money working in an investment vehicle. IPAC has particular application in a complex, private equity investment vehicle. Using IPAC, an investor can get a repeatable, readily understood indication of the amount of working money left in an investment. Further using IPAC, the investor, financial advisor or other interested party can, based on the money still working in any one or more investments, better determine the overall risk profile of an investment portfolio. An investment portfolio can be changed based on the risk profile as so determined.

A method and database for generating a report of findings of at least one abnormality evident in a medical image, the medical image including at least a portion of at least one structure of the body, the method includes retrieving a figure of the at least one structure. The retrieved figure is amended to reflect an abnormality. The abnormality is sized with respect to the figure of the at least one structure. The abnormality is placed at a location on the figure of the at least one structure according to an orientation of that abnormality in the medical image to generate an amended figure representative of the medical image for inclusion in the report.

A computer system and method are disclosed for automatically generating a vascular model of a blood vessel to support, for example, identification of mechanical factors corresponding to the blood vessel. The method includes interpolating data points corresponding to a contour of the blood vessel; generating a structural model representing three-dimensional structural characteristics of the blood vessel based on interpolated contours; generating a fluid model representing three-dimensional characteristics of fluid flow within the vessel; and generating a vascular model based on the structural model and the fluid model. The method may also include performing a mechanical analysis of the vascular model to identify a mechanical factor associated with the vessel, for example, a factor associated with a potential plaque rupture within the vessel. Embodiments of the invention are applicable to the diagnosis, assessment, or treatment of cardiovascular diseases.