SYSTEM AND METHODS FOR ESTIMATION OF BLOOD FLOW CHARACTERISTICS USING REDUCED ORDER MODEL AND MACHINE LEARNING

Systems and methods are disclosed for determining blood flow characteristics of a patient. One method includes: receiving, in an electronic storage medium, patient-specific image data of at least a portion of vasculature of the patient having geometric features at one or more points; generating a patient-specific reduced order model from the received image data, the patient-specific reduced order model comprising estimates of impedance values and a simplification of the geometric features at the one or more points of the vasculature of the patient; creating a feature vector comprising the estimates of impedance values and geometric features for each of the one or more points of the patient-specific reduced order model; and determining blood flow characteristics at the one or more points of the patient-specific reduced order model using a machine learning algorithm trained to predict blood flow characteristics based on the created feature vectors at the one or more points. 120-. (canceled)21. A computer-implemented method of determining blood flow characteristics of a patient , the method comprising:receiving, in an electronic storage medium, a patient-specific anatomical model of at least a portion of the patient's vasculature including geometric features at one or more points;truncating the patient-specific anatomical model at locations of the patient-specific anatomical model for which blood flow characteristics are to be determined;applying boundary conditions to the truncated patient-specific anatomical model, the boundary conditions associated with hemodynamics at an inflow of blood flow, outflow of blood flow, and a vessel wall of the truncated patient-specific anatomic model;using the boundary conditions to estimate a first value for the blood flow characteristic at one or more locations of the truncated patient-specific anatomic model;generating a reduced-order model that is representative of the truncated patient-specific anatomic model, the reduced-order ...

SYSTEM AND METHODS FOR ESTIMATION OF BLOOD FLOW CHARACTERISTICS USING REDUCED ORDER MODEL AND/OR MACHINE LEARNING

Systems and methods are disclosed for determining blood flow characteristics of a patient. One method includes: receiving, in an electronic storage medium, patient-specific image data of at least a portion of vasculature of the patient having geometric features at one or more points; generating a patient-specific reduced order mode! from the received image data, the patient-specific reduced order model comprising estimates of impedance values and a simplification of the geometric features at the one or more points of the vasculature of the patient; creating a feature vector comprising the estimates of impedance values and geometric features for each of the one or more points of the patient-specific reduced order model; and determining blood flow characteristics at the one or more points of the patient- specific reduced order model using a machine learning algorithm trained to predict blood flow characteristics based on the created feature vectors at the one or more points.

System and methods for estimation of blood flow characteristics using reduced order model and machine learning

Systems and methods are disclosed for determining blood flow characteristics of a patient. One method includes: receiving, in an electronic storage medium, patient-specific image data of at least a portion of vasculature of the patient having geometric features at one or more points; generating a patient-specific reduced order mode! from the received image data, the patient-specific reduced order model comprising estimates of impedance values and a simplification of the geometric features at the one or more points of the vasculature of the patient; creating a feature vector comprising the estimates of impedance values and geometric features for each of the one or more points of the patient-specific reduced order model; and determining blood flow characteristics at the one or more points of the patient- specific reduced order model using a machine learning algorithm trained to predict blood flow characteristics based on the created feature vectors at the one or more points.

SYSTEM AND METHODS FOR ESTIMATION OF BLOOD FLOW USING RESPONSE SURFACE AND REDUCED ORDER MODELING

Systems and methods are disclosed for blood flow simulation. For example, a method may include performing a plurality of blood flow simulations using a first model of vascular blood flow, each of the plurality of blood flow simulations simulating blood flow in a vasculature of a patient or a geometry based on the vasculature of the patient; based on results of the plurality of blood flow simulations, generating a response surface mapping one or more first parameters of the first model to one or more second parameters of a reduced order model of vascular blood; determining values for the one or more parameters of the reduced order model mapped, by the response surface, from parameter values representing a modified state of the vasculature; and performing simulation using the reduced order model parameterized by the determined values, to determine a blood flow characteristic of the modified state of the vasculature.

LINERLESS, CONFORMABLE COMPOSITE TANK STRUCTURE FOR AIRCRAFT WATER AND WASTE

A linerless composite tank for a waste or water system on board an aerospace vehicle includes a monolithic tank body having a first composite material co-cured with a second composite material. The first composite material includes a first resin and the second composite material includes a second resin that is different from the first resin. The first composite material forms an innermost surface of the monolithic tank body defining a tank chamber of the monolithic tank body. A method of manufacturing the linerless composite tank includes providing a mold having a desired interior shape of the monolithic tank, applying the first composite material to the mold, applying the second composite material to the mold, and co-curing the first composite material with the second composite material to form the monolithic composite tank.

SYSTEM AND METHOD FOR DIAGNOSIS AND ASSESSMENT OF CARDIOVASCULAR DISEASE BY COMPARING ARTERIAL SUPPLY CAPACITY TO END-ORGAN DEMAND

Systems and methods are disclosed for to determining a blood supply and blood demand. One method includes receiving a patient-specific model of vessel geometry of at least a portion of a coronary artery, wherein the model is based on patient-specific image data of at least a portion of a patient's heart having myocardium; determining a coronary blood supply based on the patient-specific model; determining at least a portion of the myocardium corresponding to the coronary artery; determining a myocardial blood demand based on either a mass or a volume of the portion of the myocardium, or based on perfusion imaging of the portion of the myocardium; and determining a relationship between the coronary blood supply and the myocardial blood demand.

SYSTEM AND METHOD FOR DIAGNOSIS AND ASSESSMENT OF CARDIOVASCULAR DISEASE BY COMPARING ARTERIAL SUPPLY CAPACITY TO END-ORGAN DEMAND

Systems and methods are disclosed for to determining a blood supply and blood demand. One method includes receiving a patient-specific model of vessel geometry of at least a portion of a coronary artery, wherein the model is based on patient-specific image data of at least a portion of a patient's heart having myocardium; determining a coronary blood supply based on the patient-specific model; determining at least a portion of the myocardium corresponding to the coronary artery; determining a myocardial blood demand based on either a mass or a volume of the portion of the myocardium, or based on perfusion imaging of the portion of the myocardium; and determining a relationship between the coronary blood supply and the myocardial blood demand. 1. A computer-implemented method determining a blood supply and a blood demand , the method comprising:receiving a patient-specific model of vessel geometry of at least a portion of a coronary artery, wherein the model is based on patient-specific image data of at least a portion of a patient's heart having myocardium;determining a coronary blood supply based on the patient-specific model;determining at least a portion of the myocardium receiving blood from the coronary artery;determining a myocardial blood demand based on either a mass or a volume of the portion of the myocardium, or based on perfusion imaging of the portion of the myocardium; anddetermining a relationship between the coronary blood supply and the myocardial blood demand.2. The method of claim 1 , further comprising:evaluating the patient based upon the determined relationship between the coronary blood supply and the myocardial blood demand.3. The method of claim 1 , further comprising:determining whether a mismatch exists between the coronary blood supply and the myocardial blood demand based on the determined relationship between the coronary blood supply and the myocardial blood demand.4. The method of claim 3 , further comprising:based on the ...

System and methods for estimation of blood flow characteristics using reduced order model and machine learning

Systems and methods are disclosed for determining blood flow characteristics of a patient. One method includes: receiving, in an electronic storage medium, patient-specific image data of at least a portion of vasculature of the patient having geometric features at one or more points; generating a patient-specific reduced order model from the received image data, the patient-specific reduced order model comprising estimates of impedance values and a simplification of the geometric features at the one or more points of the vasculature of the patient; creating a feature vector comprising the estimates of impedance values and geometric features for each of the one or more points of the patient-specific reduced order model; and determining blood flow characteristics at the one or more points of the patient-specific reduced order model using a machine learning algorithm trained to predict blood flow characteristics based on the created feature vectors at the one or more points.

SYSTEMS AND METHODS FOR IDENTIFYING AND MODELING UNRESOLVED VESSELS IN IMAGE-BASED PATIENT-SPECIFIC HEMODYNAMIC MODELS

Systems and methods are disclosed for identifying and modeling unresolved vessels, and the effects thereof, in image-based patient-specific hemodynamic models. One method includes: receiving, in an electronic storage medium, one or more patient-specific anatomical models representing at least a vessel of a patient; determining, using a processor, the values and characteristics of one or more patient-specific morphometric features in the one or more patient-specific anatomical models; modifying the patient-specific anatomical model using the determined patient-specific morphometric features; and outputting, one or more of, a modified patient-specific anatomical model or a patient-specific morphometric feature to an electronic storage medium or display.

System and method for diagnosis and assessment of cardiovascular disease by comparing arterial supply capacity to end-organ demand

Systems and methods are disclosed for to determining a blood supply and blood demand. One method includes receiving a patient-specific model of vessel geometry of at least a portion of a coronary artery, wherein the model is based on patient-specific image data of at least a portion of a patient's heart having myocardium; determining a coronary blood supply based on the patient-specific model; determining at least a portion of the myocardium corresponding to the coronary artery; determining a myocardial blood demand based on either a mass or a volume of the portion of the myocardium, or based on perfusion imaging of the portion of the myocardium; and determining a relationship between the coronary blood supply and the myocardial blood demand.

System and method for diagnosis and assessment of cardiovascular disease by comparing arterial supply capacity to end-organ demand

Systems and methods are disclosed for to determining a blood supply and blood demand. One method includes receiving a patient-specific model of vessel geometry of at least a portion of a coronary artery, wherein the model is based on patient-specific image data of at least a portion of a patient's heart having myocardium; determining a coronary blood supply based on the patient-specific model; determining at least a portion of the myocardium corresponding to the coronary artery; determining a myocardial blood demand based on either a mass or a volume of the portion of the myocardium, or based on perfusion imaging of the portion of the myocardium; and determining a relationship between the coronary blood supply and the myocardial blood demand.

Systems and methods for identifying and modeling unresolved vessels in image-based patient-specific hemodynamic models

Systems and methods are disclosed for identifying and modeling unresolved vessels, and the effects thereof, in image-based patient-specific hemodynamic models. One method includes: receiving, in an electronic storage medium, one or more patient-specific anatomical models representing at least a vessel of a patient; determining, using a processor, the values and characteristics of one or more patient-specific morphometric features in the one or more patient-specific anatomical models; modifying the patient-specific anatomical model using the determined patient-specific morphometric features; and outputting, one or more of, a modified patient-specific anatomical model or a patient-specific morphometric feature to an electronic storage medium or display.

SYSTEM AND METHODS FOR ESTIMATION OF BLOOD FLOW USING RESPONSE SURFACE AND REDUCED ORDER MODELING

Systems and methods are disclosed for blood flow simulation. For example, a method may include performing a plurality of blood flow simulations using a first model of vascular blood flow, each of the plurality of blood flow simulations simulating blood flow in a vasculature of a patient or a geometry based on the vasculature of the patient; based on results of the plurality of blood flow simulations, generating a response surface mapping one or more first parameters of the first model to one or more second parameters of a reduced order model of vascular blood; determining values for the one or more parameters of the reduced order model mapped, by the response surface, from parameter values representing a modified state of the vasculature; and performing simulation using the reduced order model parameterized by the determined values, to determine a blood flow characteristic of the modified state of the vasculature. 1. A computer-implemented method for blood flow simulation , the method comprising:performing a plurality of blood flow simulations using a first model of vascular blood flow, each of the plurality of blood flow simulations simulating blood flow in a vasculature of a patient or a geometry based on the vasculature of the patient;based on results of the plurality of blood flow simulations, generating a response surface mapping one or more first parameters of the first model to one or more second parameters of a reduced order model of vascular blood flow having lower fidelity than that of the first model;determining values for the one or more parameters of the reduced order model mapped, by the response surface, from parameter values representing a modified state of the vasculature; andperforming simulation of blood flow in the modified state of the vasculature using the reduced order model parameterized by the determined values for the one or more second parameters, to determine a blood flow characteristic of the modified state of the vasculature.2. The ...

SYSTEM AND METHOD FOR DIAGNOSIS AND ASSESSMENT OF CARDIOVASCULAR DISEASE BY COMPARING ARTERIAL SUPPLY CAPACITY TO END-ORGAN DEMAND

Systems and methods are disclosed for to determining a blood supply and blood demand. One method includes receiving a patient-specific model of vessel geometry of at least a portion of a coronary artery, wherein the model is based on patient-specific image data of at least a portion of a patient's heart having myocardium; determining a coronary blood supply based on the patient-specific model; determining at least a portion of the myocardium corresponding to the coronary artery; determining a myocardial blood demand based on either a mass or a volume of the portion of the myocardium, or based on perfusion imaging of the portion of the myocardium; and determining a relationship between the coronary blood supply and the myocardial blood demand.

SYSTEMS AND METHODS FOR DETERMINING AN OPTIMIZED PATH FOR NAVIGATION BASED ON FEATURES ASSOCIATED WITH POINTS OF INTEREST

A trip planning system may receive, from a user device, trip data identifying a starting point and a destination point for a trip and feature data identifying weights for trip features. The trip planning system may determine a geographical region of interest based on the starting point and the destination point. The trip planning system may receive viewpoint data identifying viewpoints located within the geographical region and may calculate, based on the feature data, viewpoint relevance scores for the viewpoints. The trip planning system may determine, based on the viewpoint data and the trip data, paths for the trip and driving times for the paths. The trip planning system may calculate an optimized path, from the paths, based on the viewpoint relevance scores and the driving times associated with the paths. The trip planning system may perform one or more actions based on the optimized path. 1. A method comprising:receiving, by a device and from a user device, trip data identifying a starting point and a destination point for a trip and feature data identifying weights for trip features;determining, by the device, a geographical region of interest based on the starting point and the destination point of the trip data;receiving, by the device, viewpoint data identifying viewpoints located within the geographical region;calculating, by the device and based on the feature data, viewpoint relevance scores for the viewpoints of the viewpoint data;determining, by the device and based on the viewpoint data and the trip data, a plurality of paths for the trip and driving times for the plurality of paths;calculating, by the device, an optimized path, from the plurality of paths, based on the viewpoint relevance scores and the driving times associated with the plurality of paths; andcausing, by the device, an autonomous vehicle to navigate the optimized path.2. The method of claim 1 , wherein determining the geographical region comprises:normalizing an initial ...

System And Methods For Estimation Of Blood Flow Characteristics Using Reduced Order Model And Machine Learning

Systems and methods are disclosed for determining blood flow characteristics of a patient. One method includes: receiving, in an electronic storage medium, patient-specific image data of at least a portion of vasculature of the patient having geometric features at one or more points; generating a patient-specific reduced order model from the received image data, the patient-specific reduced order model comprising estimates of impedance values and a simplification of the geometric features at the one or more points of the vasculature of the patient; creating a feature vector comprising the estimates of impedance values and geometric features for each of the one or more points of the patient-specific reduced order model; and determining blood flow characteristics at the one or more points of the patient-specific reduced order model using a machine learning algorithm trained to predict blood flow characteristics based on the created feature vectors at the one or more points.

Systems and methods for identifying and modeling unresolved vessels in image-based patient-specific hemodynamic models

Systems and methods are disclosed for identifying and modeling unresolved vessels, and the effects thereof, in image-based patient-specific hemodynamic models. One method includes: receiving, in an electronic storage medium, one or more patient-specific anatomical models representing at least a vessel of a patient; determining, using a processor, the values and characteristics of one or more patient-specific morphometric features in the one or more patient-specific anatomical models; modifying the patient-specific anatomical model using the determined patient-specific morphometric features; and outputting, one or more of, a modified patient-specific anatomical model or a patient-specific morphometric feature to an electronic storage medium or display.

SYSTEMS AND METHODS FOR DIAGNOSIS AND ASSESSMENT OF CARDIOVASCULAR DISEASE BY COMPARING ARTERIAL SUPPLY CAPACITY TO END-ORGAN DEMAND

Systems and methods are disclosed for to determining a blood supply and blood demand. One method includes receiving a patient-specific model of vessel geometry of at least a portion of a coronary artery, wherein the model is based on patient-specific image data of at least a portion of a patient's heart having myocardium; determining a coronary blood supply based on the patient-specific model; determining at least a portion of the myocardium corresponding to the coronary artery; determining a myocardial blood demand based on either a mass or a volume of the portion of the myocardium, or based on perfusion imaging of the portion of the myocardium; and determining a relationship between the coronary blood supply and the myocardial blood demand. 120-. (canceled)21. A computer-implemented method of determining a blood supply and a blood demand , the method comprising:receiving a first portion of a patient-specific model of vessel geometry, wherein the first portion of the patient-specific model is based on patient-specific image data;generating a second portion of the patient-specific model of vessel geometry, wherein the second portion of the patient-specific model is based on data not shown in the patient-specific image data;determining an amount of blood demanded by at least a portion of a tissue or organ receiving blood from the vessel geometry based on the first portion and the second portion of the patient-specific model; andevaluating the patient based the amount of blood demanded by the tissue or the organ.22. The method of claim 21 , wherein evaluating the patient includes determining claim 21 , based on the evaluation claim 21 , a disease state of the patient.23. The method of claim 21 , wherein the second portion of the patient-specific model is based at least in part on population-based data.24. The method of claim 21 , further comprising:generating a simulation of blood flow identifying a relationship between the patient's vessel supply and the patient's ...

SYSTEMS AND METHODS FOR IDENTIFYING AND MODELING UNRESOLVED VESSELS IN IMAGEBASED PATIENT-SPECIFIC HEMODYNAMIC MODELS

Systems and methods are disclosed for identifying and modeling unresolved vessels, and the effects thereof, in image-based patient-specific hemodynamic models. One method includes: receiving, in an electronic storage medium, one or more patient-specific anatomical models representing at least a vessel of a patient; determining, using a processor, the values and characteristics of one or more patient-specific morphometric features in the one or more patient-specific anatomical models; modifying the patient-specific anatomical model using the determined patient-specific morphometric features; and outputting, one or more of, a modified patient-specific anatomical model or a patient-specific morphometric feature to an electronic storage medium or display. 120-. (canceled)21. A computer-implemented method of identifying and modeling effects of unresolved vessels in image-based patient-specific hemodynamic models , the method comprising:receiving, in an electronic storage medium, one or more patient-specific anatomical models representing at least a vessel of a patient;determining, using a processor, at least one unbranched or unmodeled segments of the one or more patient-specific anatomical models;calculating, using the processor, at least one of a length or a diameter of the at least one unbranched or unmodeled segments;receiving, in the electronic storage medium, a reference value of a length-to-diameter ratio of a vessel corresponding to a region of the body represented by the one or more patient-specific anatomical models;comparing, by the processor, the calculated length or diameter of the at least one unbranched or unmodeled segments to the reference vessel; anddetermining, using the processor, a number of unbranched or unmodeled segments in each of the at least one patient-specific anatomical model based on the comparison.22. The computer implemented method of claim 21 , further comprising:generating an updated patient-specific anatomical model based on the ...

Extractor for vacuum cleaning system

An extractor for a vacuum cleaning system of the type based on a cyclonic separator. The extractor comprises an annular body located adjacent the cyclonic separator and has an annular opening communicating with the cyclonic separator. A mesh covers the annular opening. In use the air circulating in the cyclonic separator vents through the extractor but debris in the air stream is stopped by the mesh.

Estimating the location of a mobile unit based on the elimination of improbable locations

A method for determining the location of a mobile unit (mobile unit) in a wireless communication system is disclosed. The illustrative embodiment provides a computationally-efficient technique for reducing the number of possible positions that have to be analyzed. In particular, the illustrative embodiment eliminates possible positions for the mobile unit from consideration by considering which signals the mobile unit can—and cannot—receive and the knowledge of where those signals can and cannot be received.

Location estimation of wireless terminals through pattern matching of signal-strength differentials

A method of estimating the location of a wireless terminal is disclosed that is ideally suited for use with legacy systems. The illustrative embodiment of the present invention is based on the observation that the signal strength of a signal from a transmitter is different at some locations, and, therefore, the location of a wireless terminal can be estimated by comparing the signal strength it currently observes against a map or database that correlates locations to signal strengths. For example, if a particular radio station is known to be received well at a first location and poorly at a second location, and a given wireless terminal at an unknown location is receiving the radio station poorly, it is more likely that the wireless terminal is at the second location than it is at the first location.

Estimating the Location of a Wireless Terminal Based on Signal Path Impairment

A technique for estimating the location of a wireless terminal at an unknown location in a geographic region is disclosed. The technique is based on the recognition that there are traits of electromagnetic signals that are dependent on topography, the receiver, the location of the transmitter, and other factors. For example, if a particular radio station is known to be received strongly at a first location and weakly at a second location, and a given wireless terminal at an unknown location is receiving the radio station weakly, it is more likely that the wireless terminal is at the second location than at the first location.

Body motion tracking system

Methods and apparatus are disclosed for measuring position and motion of a “marker” antenna ( 14 ), disposed on a subject ( 12 ) at a physical location to be tracked. Relative distance of the marker antenna ( 14 ) from receiving antennas ( 18 ) is measured by phase differences of its microwave signals ( 40 ) at the receiving antennas ( 18 ) for at least two successive marker positions. Alternatively, actual distances ( 104, 106 ) are calculated by choosing a source position ( 102 ) and iterating the distances ( 104, 106 ) until the calculated phase differences match those measured. Four to six receiving antennas ( 18 ) are positioned at edges of a volume ( 16 ) where activity is conducted. Each received signal ( 40 ) is amplified and down-converted in a mixer ( 44 ). A single reference oscillator ( 46 ) feeds all the mixers ( 42 ) to preserve phase relationships of the received signals. Received signals ( 40 ) are digitized and presented to a multi-channel digital tuner ( 50 ). Phase relationships are preserved because all of the signal processing up to this step is “coherent”. The digital data is fed ( 51 ) to a main computer and processed by algorithm to estimate the marker antenna's position relative to each receiving antenna ( 18 ). The apparatus is especially applicable to clinical gait analysis, sports medicine, industrial, military and entertainment uses.

Estimating the location of a wireless terminal based on signal path impairment

A technique for estimating the location of a wireless terminal at an unknown location in a geographic region is disclosed. The technique is based on the recognition that there are traits of electromagnetic signals that are dependent on topography, the receiver, the location of the transmitter, and other factors. For example, if a particular radio station is known to be received strongly at a first location and weakly at a second location, and a given wireless terminal at an unknown location is receiving the radio station weakly, it is more likely that the wireless terminal is at the second location than at the first location.

System and methods for estimation of blood flow using response surface and reduced order modeling

Systems and methods are disclosed for blood flow simulation. For example, a method may include performing a plurality of blood flow simulations using a first model of vascular blood flow, each of the plurality of blood flow simulations simulating blood flow in a vasculature of a patient or a geometry based on the vasculature of the patient; based on results of the plurality of blood flow simulations, generating a response surface mapping one or more first parameters of the first model to one or more second parameters of a reduced order model of vascular blood; determining values for the one or more parameters of the reduced order model mapped, by the response surface, from parameter values representing a modified state of the vasculature; and performing simulation using the reduced order model parameterized by the determined values, to determine a blood flow characteristic of the modified state of the vasculature.

Estimation of the location of a wireless terminal for locations not designated as improbable

A method comprising: receiving a measurement of a first characteristic of a first signal that is processed by a wireless terminal; designating at least one of a plurality of possible locations of said wireless terminal as improbable; and estimating the location of said wireless terminal based on a comparison of said measurement of said first characteristic of said first signal to a predicted value of said first characteristic of said first signal for at least one of said plurality of possible locations not designated as improbable.

Location Estimation of Wireless Terminals Based on Combinations of Signal-Strength Measurements and Geometry-of-Arrival Measurements

A method and apparatus for estimating the location of a wireless terminal are disclosed. The location of the wireless terminal is estimated based on one or more signal strength measurements in conjunction with: (i) one or more angle-of-arrival measurements, (ii) one or more time-of-arrival measurements, or (iii) a combination of (i) and (ii). At each measurement time, the illustrative embodiment (a) determines the candidate locations for the wireless terminal, (b) computes a measurement likelihood function for any signal strength measurements that are available at that time, (c) computes a measurement likelihood function for any geometry-of-arrival measurements that are available at that time, (d) computes a joint likelihood function for all measurements available at that time, and (e) updates the location probability distribution for the wireless terminal with the joint measurement likelihood function. Estimates of the location of the wireless terminal are obtained from the location probability distribution.

Location estimation of wireless terminals through pattern matching of signal-strength differentials

A method of estimating the location of a wireless terminal is disclosed that is ideally suited for use with legacy systems. The illustrative embodiment of the present invention is based on the observation that the signal strength of a signal from a transmitter is different at some locations, and, therefore, the location of a wireless terminal can be estimated by comparing the signal strength it currently observes against a map or database that correlates locations to signal strengths. For example, if a particular radio station is known to be received well at a first location and poorly at a second location, and a given wireless terminal at an unknown location is receiving the radio station poorly, it is more likely that the wireless terminal is at the second location than it is at the first location.

NOx reduction control system for boilers

The invention uses an input signal directly from a fuel flow device to control the amount of ammonia injected into a flue gas stream for NOx reduction for boilers. The control system receives a signal directly from a fuel flow device that indicates the amount of fuel flow and corresponding NOx emissions. The signal is processed using an algorithm with a multi-loop controller and an ammonia mass flow control valve with temperature and pressure corrections to determine how much ammonia must be injected into the flue gas in the presence of a catalyst to achieve the desired NOx emissions reductions. A dilution air blower transports ammonia to an injection grid and subsequently, the ammonia reacts with the flue gas in the presence of a catalyst to reduce the amount of NOx emissions to the desired level. A bias function that allows a boiler operator to manually increase or decrease the flow of ammonia in order to vary the amount of NOx reduction is included and can be used as an alternate to automatic operation, thus allowing an operator to dictate the amount of ammonia to be injected into the system. Air temperature and pressure correction functions are also included to adjust the ammonia flow based on a given temperature and fuel flow.

Quick film release X-ray cassette mechanism

An x-ray cassette is modifed to facilitate the quick release of x-ray film by securing the entire surface of the resilient supports for the intensifying screen to the cassette's fixed plate. Also an edge of the intensifying screen is bent in the direction of the fixed plate.

Systems and methods for estimation of blood flow characteristics using reduced order model and/or machine learning

Systems and methods are disclosed for determining blood flow characteristics of a patient. One method includes: receiving, in an electronic storage medium, patient-specific image data of at least a portion of vasculature of the patient having geometric features at one or more points; generating a patient-specific reduced order model from the received image data, the patient-specific reduced order model comprising estimates of impedance values and a simplification of the geometric features at the one or more points of the vasculature of the patient; creating a feature vector comprising the estimates of impedance values and geometric features for each of the one or more points of the patient-specific reduced order model; and determining blood flow characteristics at the one or more points of the patient-specific reduced order model using a machine learning algorithm trained to predict blood flow characteristics based on the created feature vectors at the one or more points.

Estimating the Location of a Wireless Terminal Based on Non-Uniform Locations

A technique for estimating the location of a wireless terminal at an unknown location in a geographic region is disclosed. The technique is based on the recognition that there are traits of electromagnetic signals that are dependent on topography, the receiver, the location of the transmitter, and other factors. For example, if a particular radio station is known to be received strongly at a first location and weakly at a second location, and a given wireless terminal at an unknown location is receiving the radio station weakly, it is more likely that the wireless terminal is at the second location than at the first location.

Systems and methods for determining an optimized path for navigation based on features associated with points of interest

A trip planning system may receive, from a user device, trip data identifying a starting point and a destination point for a trip and feature data identifying weights for trip features. The trip planning system may determine a geographical region of interest based on the starting point and the destination point. The trip planning system may receive viewpoint data identifying viewpoints located within the geographical region and may calculate, based on the feature data, viewpoint relevance scores for the viewpoints. The trip planning system may determine, based on the viewpoint data and the trip data, paths for the trip and driving times for the paths. The trip planning system may calculate an optimized path, from the paths, based on the viewpoint relevance scores and the driving times associated with the paths. The trip planning system may perform one or more actions based on the optimized path.

Systems and methods for processing electronic images to assess end-organ demand

Systems and methods are disclosed for to determining a blood supply and blood demand. One method includes receiving a patient-specific model of vessel geometry of at least a portion of a coronary artery, wherein the model is based on patient-specific image data of at least a portion of a patient's heart having myocardium; determining a coronary blood supply based on the patient-specific model; determining at least a portion of the myocardium corresponding to the coronary artery; determining a myocardial blood demand based on either a mass or a volume of the portion of the myocardium, or based on perfusion imaging of the portion of the myocardium; and determining a relationship between the coronary blood supply and the myocardial blood demand.

Linerless, conformable composite tank structure for aircraft water and waste

A linerless composite tank for a waste or water system on board an aerospace vehicle includes a monolithic tank body having a first composite material co-cured with a second composite material. The first composite material includes a first resin and the second composite material includes a second resin that is different from the first resin. The first composite material forms an innermost surface of the monolithic tank body defining a tank chamber of the monolithic tank body. A method of manufacturing the linerless composite tank includes providing a mold having a desired interior shape of the monolithic tank, applying the first composite material to the mold, applying the second composite material to the mold, and co-curing the first composite material with the second composite material to form the monolithic composite tank.

Method, system and non-transitory computer-readable medium for estimation of blood flow characteristics using a reduced order model and machine learning

Systems and methods for estimation of blood flow using response surface and reduced order modeling

Systems and methods are disclosed for blood flow simulation. For example, a method may include performing a plurality of blood flow simulations using a first model of vascular blood flow, each of the plurality of blood flow simulations simulating blood flow in a vasculature of a patient or a geometry based on the vasculature of the patient; based on results of the plurality of blood flow simulations, generating a response surface mapping one or more first parameters of the first model to one or more second parameters of a reduced order model of vascular blood; determining values for the one or more parameters of the reduced order model mapped, by the response surface, from parameter values representing a modified state of the vasculature; and performing simulation using the reduced order model parameterized by the determined values, to determine a blood flow characteristic of the modified state of the vasculature.

Estimating the location of a wireless terminal based on non-uniform locations

A technique for estimating the location of a wireless terminal at an unknown location in a geographic region is disclosed. The technique is based on the recognition that there are traits of electromagnetic signals that are dependent on topography, the receiver, the location of the transmitter, and other factors. For example, if a particular radio station is known to be received strongly at a first location and weakly at a second location, and a given wireless terminal at an unknown location is receiving the radio station weakly, it is more likely that the wireless terminal is at the second location than at the first location.

Estimating the location of a wireless terminal based on non-uniform locations

A technique for estimating the location of a wireless terminal at an unknown location in a geographic region is disclosed. The technique is based on the recognition that there are traits of electromagnetic signals that are dependent on topography, the receiver, the location of the transmitter, and other factors. For example, if a particular radio station is known to be received strongly at a first location and weakly at a second location, and a given wireless terminal at an unknown location is receiving the radio station weakly, it is more likely that the wireless terminal is at the second location than at the first location.

System and methods for estimation of blood flow characteristics using reduced order model and machine learning

Systems and methods are disclosed for determining blood flow characteristics of a patient. One method includes: receiving, in an electronic storage medium, a patient-specific anatomical model of at least a portion of the patient's vasculature including geometric features at one or more points; truncating the patient-specific anatomical model at locations of the patient-specific anatomical model for which blood flow characteristics are to be determined; applying boundary conditions to the truncated patient-specific anatomical model , the boundary conditions associated with hemodynamics at an inflow of blood flow, outflow of blood flow, and a vessel wall of the truncated patient-specific anatomic model; using the boundary conditions to estimate a first value for the blood flow characteristic at one or more locations of the truncated patient-specific anatomic model; generating a reduced-order model that is representative of the truncated patient-specific anatomic model, the reduced order model including one or more points having an impedance value based on the estimated first value of the blood flow characteristic at the one or more locations of the truncated patient-specific anatomic model; updating the reduced-order model by employing a machine-learning algorithm that is trained, based on errors determined between at least one impedance value of at least one training reduced-order model and at least one corresponding impedance value determined by computational fluid dynamics, to reduce error in one or more impedance values of an input reduced order model; and using the updated reduced-order model to determine a second value for the blood flow characteristic at the one or more locations of the truncated patient-specific anatomic model. 45

Estimating the location of a wireless terminal based on calibrated signal-strength measurements

A process and machine for estimating the location of a wireless terminal is disclosed. The illustrative embodiment of the present invention is based on the observation that the signal strength of a signal from a transmitter is different at some locations, and, therefore, the location of a wireless terminal can be estimated by comparing the signal strength it currently observes against a map or database that correlates locations to signal strengths. In accordance with a first example, if a particular radio station is known to be received well at a first location and poorly at a second location, and a given wireless terminal at an unknown location is receiving the radio station poorly, it is more likely that the wireless terminal is at the second location than it is at the first location.

Systems and methods for estimation of blood flow characteristics using reduced order model and/or machine learning

Systems and methods are disclosed for determining blood flow characteristics of a patient. One method includes: receiving, in an electronic storage medium, patient-specific image data of at least a portion of vasculature of the patient having geometric features at one or more points; generating a patient-specific reduced order model from the received image data, the patient-specific reduced order model comprising estimates of impedance values and a simplification of the geometric features at the one or more points of the vasculature of the patient; creating a feature vector comprising the estimates of impedance values and geometric features for each of the one or more points of the patient-specific reduced order model; and determining blood flow characteristics at the one or more points of the patient-specific reduced order model using a machine learning algorithm trained to predict blood flow characteristics based on the created feature vectors at the one or more points.

Linerless, conformable composite tank structure for aircraft water and waste

A linerless composite tank for a waste or water system on board an aerospace vehicle includes a monolithic tank body having a first composite material co-cured with a second composite material. The first composite material includes a first resin and the second composite material includes a second resin that is different from the first resin. The first composite material forms an innermost surface of the monolithic tank body defining a tank chamber of the monolithic tank body. A method of manufacturing the linerless composite tank includes providing a mold having a desired interior shape of the monolithic tank, applying the first composite material to the mold, applying the second composite material to the mold, and co-curing the first composite material with the second composite material to form the monolithic composite tank.

System and methods for estimation of blood flow characteristics using reduced order model and machine learning

Systems and methods are disclosed for determining blood flow characteristics of a patient. One method includes: receiving, in an electronic storage medium, a patient-specific anatomical model of at least a portion of the patient's vasculature including geometric features at one or more points; truncating the patient-specific anatomical model at locations of the patient-specific anatomical model for which blood flow characteristics are to be determined; applying boundary conditions to the truncated patient-specific anatomical model , the boundary conditions associated with hemodynamics at an inflow of blood flow, outflow of blood flow, and a vessel wall of the truncated patient-specific anatomic model; using the boundary conditions to estimate a first value for the blood flow characteristic at one or more locations of the truncated patient-specific anatomic model; generating a reduced-order model that is representative of the truncated patient-specific anatomic model, the reduced order model including one or more points having an impedance value based on the estimated first value of the blood flow characteristic at the one or more locations of the truncated patient-specific anatomic model; updating the reduced-order model by employing a machine-learning algorithm that is trained, based on errors determined between at least one impedance value of at least one training reduced-order model and at least one corresponding impedance value determined by computational fluid dynamics, to reduce error in one or more impedance values of an input reduced order model; and using the updated reduced-order model to determine a second value for the blood flow characteristic at the one or more locations of the truncated patient-specific anatomic model. 45

Systems and methods for identifying and modeling unresolved vessels in image-based patient-specific hemodynamic models

Systems and methods are disclosed for identifying and modeling unresolved vessels, and the effects thereof, in image-based patient-specific hemodynamic models. One method includes: receiving, in an electronic storage medium, one or more patient-specific anatomical models representing at least a vessel of a patient; determining, using a processor, the values and characteristics of one or more patient-specific morphometric features in the one or more patient-specific anatomical models; modifying the patient-specific anatomical model using the determined patient-specific morphometric features; and outputting, one or more of, a modified patient-specific anatomical model or a patient-specific morphometric feature to an electronic storage medium or display.

Systems and methods for identifying and modeling unresolved vessels in image-based patient-specific hemodynamic models

Systems and methods are disclosed for identifying and modeling unresolved vessels, and the effects thereof, in image-based patient-specific hemodynamic models. One method includes: receiving, in an electronic storage medium, one or more patient-specific anatomical models representing at least a vessel of a patient; determining, using a processor, the values and characteristics of one or more patient-specific morphometric features in the one or more patient-specific anatomical models; modifying the patient-specific anatomical model using the determined patient-specific morphometric features; and outputting, one or more of, a modified patient-specific anatomical model or a patient-specific morphometric feature to an electronic storage medium or display.

Estimating the location of a wireless terminal based on the traits of the multipath components of a signal

A technique for estimating the location of a wireless terminal at an unknown location in a geographic region is disclosed. The technique is based on the recognition that there are traits of electromagnetic signals that are dependent on topography, the receiver, the location of the transmitter, and other factors. For example, if a particular radio station is known to be received strongly at a first location and weakly at a second location, and a given wireless terminal at an unknown location is receiving the radio station weakly, it is more likely that the wireless terminal is at the second location than at the first location.

Quick film release x-ray cassette mechanism

次数低減モデル及び／または機械学習を使用して血流特性を推定するためのシステム及び方法

【課題】患者の血流特性を決定するための好適なシステム及び方法を提供すること。【解決手段】一方法は、電子記憶媒体において、１つ以上の点で幾何学的特徴を有する患者の脈管構造の少なくとも一部分の患者特有の画像データを受信することと、受信した画像データから患者特有の次数低減モデルを生成することであって、患者特有の次数低減モデルが、インピーダンス値の推定値、及び患者の脈管構造の１つ以上の点における幾何学的特徴の単純化を含むことと、患者特有の次数低減モデルの１つ以上の点のそれぞれについて、インピーダンス値の推定値及び幾何学的特徴を含む特徴ベクトルを生成することと、１つ以上の点において作成された特徴ベクトルに基づいて血流特性を予測するように訓練された機械学習アルゴリズムを使用して、患者特有の次数低減モデルの１つ以上の点における血流特性を決定することを含んでいる。【選択図】なし

Estimating the location of a wireless terminal based on the traits of the multipath components of a signal

A technique for estimating the location of a wireless terminal at an unknown location in a geographic region is disclosed. The technique is based on the recognition that there are traits of electromagnetic signals that are dependent on topography, the receiver, the location of the transmitter, and other factors. For example, if a particular radio station is known to be received strongly at a first location and weakly at a second location, and a given wireless terminal at an unknown location is receiving the radio station weakly, it is more likely that the wireless terminal is at the second location than at the first location.

Systems and methods for estimation of blood flow using response surface and reduced order modeling

Systems and methods are disclosed for blood flow simulation. For example, a method may include performing a plurality of blood flow simulations using a first model of vascular blood flow, each of the plurality of blood flow simulations simulating blood flow in a vasculature of a patient or a geometry based on the vasculature of the patient; based on results of the plurality of blood flow simulations, generating a response surface mapping one or more first parameters of the first model to one or more second parameters of a reduced order model of vascular blood; determining values for the one or more parameters of the reduced order model mapped, by the response surface, from parameter values representing a modified state of the vasculature; and performing simulation using the reduced order model parameterized by the determined values, to determine a blood flow characteristic of the modified state of the vasculature.

System and method for diagnosis and assessment of cardiovascular disease by comparing arterial supply capacity to end-organ demand

Systems and methods for estimation of blood flow characteristics using reduced order model and/or machine learning

Systems and methods are disclosed for determining blood flow characteristics of a patient. One method includes: receiving, in an electronic storage medium, patient-specific image data of at least a portion of vasculature of the patient having geometric features at one or more points; generating a patient-specific reduced order model from the received image data, the patient-specific reduced order model comprising estimates of impedance values and a simplification of the geometric features at the one or more points of the vasculature of the patient; creating a feature vector comprising the estimates of impedance values and geometric features for each of the one or more points of the patient-specific reduced order model; and determining blood flow characteristics at the one or more points of the patient-specific reduced order model using a machine learning algorithm trained to predict blood flow characteristics based on the created feature vectors at the one or more points.

System and method for diagnosis and assessment of cardiovascular disease by comparing arterial supply capacity to end-organ demand

Systems and methods are disclosed determining a blood supply and a blood demand of a patient. One method includes receiving patient-specific image data obtained using an imaging device, wherein at least a portion of the patient-specific image data corresponds to at least a portion of a patient's heart, comprising at least a portion of a myocardium and coronary arteries; receiving a patient-specific three-dimensional model of vessel geometry of at least a portion of a coronary artery, wherein the model is based on the received patient-specific image data; determining a supply-to-demand metric quantifying a relationship between a coronary blood supply and a myocardial blood demand in the patient; and, based on the supply-to-demand metric, determining whether a mismatch exists between the coronary blood supply and the myocardial blood demand.

Estimating the location of a wireless terminal based on non-uniform probabilities of movement

A technique for estimating the location of a wireless terminal at an unknown location in a geographic region is disclosed. The technique is based on the recognition that there are traits of electromagnetic signals that are dependent on topography, the receiver, the location of the transmitter, and other factors. For example, if a particular radio station is known to be received strongly at a first location and weakly at a second location, and a given wireless terminal at an unknown location is receiving the radio station weakly, it is more likely that the wireless terminal is at the second location than at the first location.

Estimating the location of a wireless terminal in wireless telecommunications systems that comprise distributed and/or repeater antennas

A technique for estimating the location of a wireless terminal at an unknown location in a geographic region is disclosed. The technique is based on the recognition that there are location-dependent traits of electromagnetic signals. In environments where multiple antennas are radiating the same signal, as in the case of distributed antennas or host-repeater configurations, one or more possible locations of the wireless terminal can be designated as improbable based on i) a measure of the propagation delay of a signal traveling between a) a base station and b) the wireless terminal or an infrastructure antenna, or ii) the maximum distance at which a signal is detectable by the wireless terminal. Additionally, the applicable set of values for the location-dependent traits is selected based on similar criteria.

Determining a propagation-time adjustment for a wireless coverage area, based on information provided by wireless terminals

A method and system that account for one or more propagation-time components in a transmission path between a base station and a wireless terminal in a coverage area being served by the system. One such component is in the base station equipment between the radio that serves a wireless terminal and the antenna element that radiates and/or receives electromagnetic signals that involve the terminal. Another component of the transmission path is the one or more paths over which a radiated signal travels between the base station antenna element and the wireless terminal. By accounting for these propagation components through the use of measurement data provided by possibly a large number of wireless terminals, a disclosed location engine is able to derive adjusted measurements that are more representative of the propagation-time characteristic being measured by the individual terminals. These adjusted measurements can then be used to estimate the location of a wireless terminal more accurately.

Estimating proximity to a mobile station by manipulating an interfering signal

A technique for providing a location estimate of a mobile station, with increased accuracy. An unenhanced estimate of the location of a target mobile station is first obtained. A portable transmitter is then situated in an initial geographic area of interest defined by the unenhanced estimate. The portable transmitter is then tuned to transmit on a particular neighbor base station frequency being reported by the mobile station. When the portable transmitter is moved close enough to the target mobile station, the mobile station stops reporting the neighbor to the mobile's wireless telecommunications network, on account of the interference introduced by the portable transmitter being on that frequency. The estimated distance from the portable transmitter to the target mobile station depends on the transmit signal strength used by the portable transmitter. By considering these details, an enhanced estimate of the location of the mobile station can then be deduced.

Determining a propagation-time adjustment for a wireless coverage area, based on information provided by wireless terminals

A method and system that account for one or more propagation-time components in a transmission path between a base station and a wireless terminal in a coverage area being served by the system. One such component is in the base station equipment between the radio that serves a wireless terminal and the antenna element that radiates and/or receives electromagnetic signals that involve the terminal. Another component of the transmission path is the one or more paths over which a radiated signal travels between the base station antenna element and the wireless terminal. By accounting for these propagation components through the use of measurement data provided by possibly a large number of wireless terminals, a disclosed location engine is able to derive adjusted measurements that are more representative of the propagation-time characteristic being measured by the individual terminals. These adjusted measurements can then be used to estimate the location of a wireless terminal more accurately.

Estimating proximity to a mobile station by manipulating an interfering signal

A technique for providing a location estimate of a mobile station, with increased accuracy. An unenhanced estimate of the location of a target mobile station is first obtained. A portable transmitter is then situated in an initial geographic area of interest defined by the unenhanced estimate. The portable transmitter is then tuned to transmit on a particular neighbor base station frequency being reported by the mobile station. When the portable transmitter is moved close enough to the target mobile station, the mobile station stops reporting the neighbor to the mobile's wireless telecommunications network, on account of the interference introduced by the portable transmitter being on that frequency. The estimated distance from the portable transmitter to the target mobile station depends on the transmit signal strength used by the portable transmitter. By considering these details, an enhanced estimate of the location of the mobile station can then be deduced.

Tracking large numbers of wireless terminals

An apparatus and method are disclosed for tracking a large number of wireless terminals and for estimating the location of the terminals at each instant. Some embodiments of the present invention use a wide variety of factors to determine the order and frequency with which each wireless terminal is located. These factors include, but are not limited to, the history of the location of the wireless terminal, the time of day, and the weather.