Abstract: This disclosure provides systems, methods, and devices for image signal processing that support image processing. In a first aspect, a method of image capture includes determining a first exposure setting for a first array of light sensors of an image sensor; determining a second exposure setting for a second array of light sensors of the image sensor of a different type than the first array; capturing first image data with the first array of light sensors at the first exposure setting; and capturing second image data with the second array of light sensors at the second exposure setting. Other aspects and features are also claimed and described.

Abstract: 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.

Abstract: A container conveying system including a controller, a first robot, and/or a second robot. A first container pickup mechanism is provided on the first robot. A second container pickup mechanism is provided on the second robot. The controller is configured to, in response to a container conveying request, send a first conveying instruction to the first robot if it is determined a target container to be conveyed based on the container conveying request has a size within a first size range; or send a second conveying instruction to the second robot if it is determined the target has a size within a second size range. In warehousing operation scenarios, by jointly using the two robots for operation, containers with various container sizes can be picked up and placed, thus improving utilization rate of a container storage space.

Abstract: Techniques for calculating a location of a position consumer device is disclosed. In one example, a network server may create a fingerprint map from reference data points. Each of the reference data points may include a recorded geo-location of a position source device and signal measurements taken at that recorded geo-location. By initially estimating an initial position of the position consumer device, the network server may apply one or more threshold values to filter reference data points—candidates for interpolation. The network server may then perform an interpolation on one or more pairs of reference data points to find a pair of reference data points that is collinear with the estimated position of the position consumer device. The location of the position consumer device may then be calculated based upon geo-locations of position source devices that are associated with collinear reference data points.

Abstract: Systems, methods, and computer-readable media herein generate an E911 location report based on an uncertainty associated with a device-based hybrid (DBH) location received from a UE device. The uncertainty may be compared to an uncertainty threshold value to determine which values to include in a location report sent to a PSAP. A civic address associated with a UE device may be included in a location report where the uncertainty is sufficiently low, thus a location report can be sent to a PSAP with the most relevant and accurate information so that first responders can more effectively locate a distressed caller.

Abstract: Systems, methods, and computer-readable media herein generate an E911 location report based on an altitude or an altitude uncertainty associated with an estimated location received from a UE device. The altitude and altitude uncertainty may be compared to determined thresholds to determine which portions of the estimated location to include in an E911 location report sent to a PSAP. A location report generated to include the location information that is based on evaluating the altitude and altitude uncertainty can be sent to a PSAP, thus providing the most relevant and accurate information so that first responders can more effectively locate a distressed caller.

Abstract: Techniques for calculating a location of a position consumer device is disclosed. In one example, a network server may create a fingerprint map from reference data points. Each of the reference data points may include a recorded geo-location of a position source device and signal measurements taken at that recorded geo-location. By initially estimating an initial position of the position consumer device, the network server may apply one or more threshold values to filter reference data points—candidates for interpolation. The network server may then perform an interpolation on one or more pairs of reference data points to find a pair of reference data points that is collinear with the estimated position of the position consumer device. The location of the position consumer device may then be calculated based upon geo-locations of position source devices that are associated with collinear reference data points.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: The present disclosure is directed to MRI techniques. The techniques include occupying a central region of a first k-space with full sampling along a Cartesian trajectory, occupying a peripheral region of the first k-space with undersampling along a non-Cartesian trajectory; acquiring sensitivity distribution information of receiving coils; based on a sensitivity distribution chart, merging the Cartesian data of the central region according to multiple channels to obtain a third k-space; based on the sensitivity distribution chart, applying parallel imaging and compressed sensing to the undersampled non-Cartesian trajectory to reconstruct an image, obtaining a second k-space by transformation, and when the second k-space and third k-space are synthesized, using a central region of the second k-space to replace the third k-space of a corresponding region to obtain a k-space suitable for image reconstruction.

Abstract: In various examples, upon successful transmission of a device-based hybrid (DBH) location from a UE to a cellular network upon that UE placing an Enhanced 911 (E911) call, a horizontal uncertainty associated with the DBH location is taken into account. If that uncertainty reaches a threshold value, alternative location information in the form of one or more of a Cell Identity (CID) or an Enhanced Cell Identity (E-CID) associated with the UE can be used in generating a location report that is then sent to a Public Safety Answering Point. As a result, first responders may be able to more quickly locate distressed E911 callers.

Abstract: Probing data comprising terminal identifier data is received by a broadcast device, the terminal identifier data identifying terminals that are located within a predetermined distance of the broadcast device. The probing data is uploaded by the broadcast device to a server. An information pushing condition is matched by the server based on the terminal identifier data. Information corresponding to an information pushing condition matching the terminal identifier data is pushed by the server to the broadcast device. The received corresponding information is broadcast by the broadcast device.

Abstract: 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.

Abstract: 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.

Abstract: A bottom antireflective coating composition and a method for forming a photoresist relief image. The coating composition comprises a resin containing a structural unit represented by the Formula (1), a structural unit represented by the Formula (2), and a structural unit represented by the Formula (3): The structural unit represented by the Formula (1), the structural unit represented by the Formula (2), and the structural unit represented by the Formula (3) is present in the resin in a molar ratio of (0.1-1000):(0.1-1000):1.

Abstract: A method and an apparatus for processing information.

Abstract: 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.