Abstract: A method, device and system for calculating a microcirculation indicator are provided. A method includes: injecting a vasodilator and subjecting a blood vessel to be measured to coronary angiography; selecting at least one angiographic image of a first body position when the blood vessel to be measured is in a resting state and an angiographic image of a second body position when the blood vessel to be measured is in a dilated state; obtaining a three-dimensional coronary artery vascular model by three-dimensional modeling; injecting a contrast agent, and obtaining time T1 taken for the contrast agent flowing from an inlet to an outlet of the segment of blood vessel and time T2 taken for the contrast agent flowing from an inlet to an outlet of the segment of blood vessel; obtaining the microcirculation indicator.

Abstract: Various embodiments of the disclosure provide a method and apparatus for performing a content search using a keypad (or a keyboard) in an electronic device. The electronic device according to various embodiments include a display; a wireless communication circuit; a memory; and a processor. The processor may be configured to: display an execution screen of an application; detect a first input for calling a keypad; display the keypad on the execution screen; detect a second input for a smart search while displaying the keypad; request a content search from at least one application of the electronic device; and display a search result searched by the at least one application through the keypad. Other embodiments are possible.

Abstract: An apparatus and method for displaying an operational area to an operative of a host platform, said operational area being defined within an external real-world environment relative to said host platform, the apparatus comprising a viewing device (12) configured to provide to said operative, in use, a three-dimensional view of said external real-world environment, a display generating device for creating images at the viewing device, and a processor (32) comprising an input (34) for receiving real-time first data representative of a specified target and its location within said external real-world environment and configured to receive or obtain second data representative of at least one characteristic of said specified target, the processor (32) being further configured to: use said first and second data to calculate a geometric volume representative of a region of influence of said specified target relative to said real-world external environment and/or said host platform, generate three-dimensional image da

Abstract: A method for performing a modified two point flux approximation scheme is disclosed. The method includes: obtaining a first pressure value for a first neighbor cell and a second pressure value for a second neighbor cell, where the first neighbor cell has a first value of a reservoir property and the second neighbor cell as a second value of the reservoir property; determining a first weight using the first pressure value and a second weight using the second pressure value; calculating a third value of the reservoir property as a weighted average of the first value and the second value; and applying the third value to the first neighbor cell.

Abstract: A method of determining an overlay value of a substrate, the method including: obtaining temperature data that includes data on measured temperature at one or more positions on a substrate table after a substrate has been loaded onto the substrate table; and determining an overlay value of the substrate in dependence on the obtained temperature data. There is further disclosed a method of determining a performance of a clamping by a substrate table using a determined overlay value.

Abstract: Methods and apparatus to determine probabilistic media viewing metrics are disclosed herein. An example apparatus includes memory including machine reachable instructions; and processor circuitry to execute the instructions to calculate a first probability for respective ones of a plurality of panelists as having viewed media based on viewing data, the viewing data including incomplete viewing data for one or more of the panelists relative to the media; identify respective ones of a plurality of panelists as included in a demographic subgroup based on demographic data for the panelists; assign a sampling weight to the respective ones of the plurality of panelists based on the demographic data; and calculate a second probability of the demographic subgroup having viewed the media based on the first probabilities and the sampling weights for the respective ones of the plurality of panelists in the demographic subgroup.

Abstract: The disclosure relates to an audio processing apparatus (200) configured to classify an audio signal into one or more audio scene classes, the audio signal comprising a component signal. The apparatus (200) comprises: processing circuitry configured to classify the component signal of the audio signal as a foreground layer component signal or a background layer component signal; obtain an audio signal feature on the basis of the audio signal; select, depending on the classification of the component signal, a first set of weights or a second set of weights; and to classify the audio signal on the basis of the audio signal features, the foreground layer component signal or the background layer component signal and the selected set of weights.

Abstract: It aims to make it possible to readily and rapidly scale up the server which executes one application. In a computer system which includes one or more compute server(s) which each has an application container which executes the one application and a management server which manages the compute server(s), the management server is configured to, in a case of increasing the number of the compute servers which each has the execution unit which executes the one application, specify a logic unit that a data unit that the execution unit of an existing compute server utilizes upon execution of an application is stored, and in a case where the execution unit of a newly added computer server executes the application, set the newly added compute server so as to refer to the specified logic unit.

Abstract: The present disclosure relates to systems and methods for controlling an array of multiple autonomous robots. In particular, the methods addresses an issue of controlling the multiple autonomous robots with to-be-controlled object units (units) when there is a non-contact portion in a common location between a set of initial locations of the units and a set of target locations of the units. The methods include: selecting a head to-be-controlled object unit (head object) based on a object unit at a location inside a set of locations and adjacent to a destination location, selecting a tail to-be-controlled object unit (tail object) based on a unit at a location outside the set and inside the initial location, moving a series of units from the head unit to the tail unit so as to follow operation of the head unit, and updating the set based on the destination location.

Abstract: Embodiments of the present technology provide systems, methods, and computer storage media for facilitating anomaly detection. In some embodiments, a prediction model is generated using a training data set. The prediction model is used to predict an expected value for a latest (current) timestamp, which is used to determine that the incoming observed data value is an anomaly. Based on the incoming observed data value determined to be the anomaly or not, a corrected data value is generated to be included in the training data set. Thereafter, the training data set having the corrected data value is used to update the prediction model for use in determining whether a subsequent observed data value is anomalous. Such a process may be performed in an iterative manner to maintain optimized training data and prediction model.

Abstract: Computer vision systems and methods for detecting anomalous building models are provided. The systems and methods can detect anomalies in building models using one or more of an independent univariate Gaussian algorithm, a multivariate Gaussian algorithm, a combination of a multivariate Gaussian algorithm for continuous features and a frequency histogram algorithm for discrete features, and/or a bin frequency model. The system automatically processes computerized models to determine anomalies, and indicates whether the models are accurate and whether correction is required.

Abstract: Disclosed are a hybrid density abrupt interface inversion method based on machine learning constraints.

Abstract: Method for identifying slow transient variations and/or local spatial variations in vehicle related fluid dynamic conditions of a physical property in a set of data points. The method includes obtaining a first set of data points, calculating a temporal filtered value of the representation of the physical property for at least a portion of the first set of data points distributed over the total time period, combining at least a portion of the calculated temporal filtered values to obtain a second set of data points, and analysing in time sequence the second set of data points over at least a portion of the total time period.

Abstract: The disclosed systems, structures, and methods are directed to a LiDAR system comprising a radiation source configured to emit light pulses towards a region of interest (ROI), a detector configured to detect light pulses reflected from the ROI, a processor, communicatively coupled to the radiation source and the detector, configured to cause the radiation source to emit a preamble light pulse having an energy EP and a pulse width W1 towards the ROI, determine, if the preamble light pulse is detected by the detector and whether there is an object in the ROI, responsive to a determination that there is an object in the ROI, cause the radiation source to emit a scanning light pulse having an energy EL and a pulse width W2 towards the ROI, else the radiation source to emit a scanning light pulse having an energy EH and the pulse width W2 towards the ROI.

Abstract: Techniques that facilitate layered stochastics anonymization of data are provided. In one example, a system includes a machine learning component and an evaluation component. The machine learning component performs a machine learning process for first data associated with one or more features to generate second data indicative of one or more example datasets within a degree of similarity to the first data. The first data and the second data comprise a corresponding data format. The evaluation component evaluates the second data for a particular feature from the one or more features and generates third data indicative of a confidence score for the second data.

Abstract: A simulation suggestion system comprising a server connected with a plurality of clients via a network. The server executes a design engine for generating designs, a simulation suggestion engine for identifying suggested simulations for the designs, and a simulation engine for performing the suggested simulations on the designs. The simulation engine includes one or more simulation tools for performing one or more suggested simulations on a design. A user completes a design of an object via the design engine. The simulation suggestion engine automatically identifies one or more simulation tools that are appropriate for the completed design based on at least one characteristic of the design. The simulation suggestion engine automatically identifies and loads simulation parameters (boundary conditions) for the suggested simulation tools. The suggested simulation tools are then performed on the completed design via the simulation engine.

Abstract: A method and system to receive a dataset for a new design; receive datasets for a plurality of different legacy systems; determine a legacy model for each of the plurality of different legacy systems based on the respective dataset for each of the plurality of different legacy systems and the dataset for the new design; calculate a model weight to associate with each of the determined legacy models; determine, based on a combination of the determined legacy models for the plurality of different legacy systems and the weight associated therewith, a multi-source model for new data for the new design; and save a record of the determined multi-source model.

Abstract: Systems and methods may generate code, for a model, with one or more service access points generated and at locations in the code based on an analysis of model constraints and deployment specifications (e.g., RTE specifications or OS specifications). The systems and methods may analyze the model and identify a functionality that needs an RTE service. The system and methods may receive deployment specifications. The systems and methods may generate code for the model, where an analysis of model constraints and the deployment specifications determine which service access points are generated and where in the code the service access points are located. In an embodiment, the code may be executed by different RTEs. In an embodiment, the systems and methods may determine, based on the analysis of the model constraints and the deployment specification, one or more admissible implementations for an RTE service that may be implemented in different ways.

Abstract: Provided is an optimally deploying an application on a node of a network. An application deployment apparatus 10 is an apparatus that deploys an application in a node N in a network 4, the network 4 including a plurality of the nodes N communicably connected by links L, and includes a deployment determination unit 14 configured to determine, as a deployment destination of the application, a node of the nodes N having a minimum cost including a computation cost of the node N and a communication cost of a links of the links L, and a deployment execution unit 15 configured to distribute the application to the determined node N.

Abstract: A system for determining pressure in a hydraulic fracturing system for a well includes a processing module executing code and configured to receive a plurality of input parameters. The processing module can predict either a bottomhole pressure, based on statistical predictions and physics-based predictions, or a surface pressure based on the predicted bottomhole pressure.

Abstract: A method of detecting and mitigating flow instabilities, such as slugging, in hydrocarbon production wells. Real-time production data pertaining to each well is are retrieved. Using the production data, patterns of flow instability are identified therein. A numerical model of transient and thermal multiphase flow in each well is generated. Well test data is are retrieved from a database. The numerical model is calibrated using the well test data. Using the calibrated numerical model, a parametric study is performed to determine how input parameters affect at least one of stability and performance of the wells. Results of the parametric study are queried to determine a type of flow instability and to determine operating conditions to improve performance of the wells. An advisory is provided to a user to change operating conditions of one or more of the wells, to improve stability and/or performance of one or more of the wells.

Abstract: Theft identification, prevention, and remedy are provided. A determination is made that a client device has been compromised. When the device makes the determination, a message is conveyed to the server and the server replies with a security challenge. When the server makes the determination, the security challenge is automatically sent to the device. An intelligence manager on the device attempts to answer the security question without interaction from the user. If there is an anomaly, a challenge is output to the user. Based on a false response to the challenge, a current data stream may be disrupted and removed from the device. Further, other devices in the network may be notified about the compromised device.

Abstract: Embodiments disclosed herein generally relate to a method and system for oil and gas predictive analytics. A computer system receives a set of production information for a well located in a region. The computing system generates a set of general reference groups comprising one or more reference wells for the region. The computing system determines whether the set of production information for the well includes the threshold amount of production information. The computing system selects a subset of reference wells from the general reference groups based on one or more traits of the well. The computing system generates a reference curve based on the set of production information associated with each reference well in the subset of reference wells. The computing system fits a decline curve to the reference curve, to determine an estimated ultimate recovery of the well.

Abstract: In an aspect, the present disclosure describes a method comprising using at least one robot to fully autonomously position and assemble at least one solar module and its supporting structure at a sensed geolocation without aid from a user.

Abstract: A system for modeling the evolution of a system over time using an advection-based process is provided. The system continuously evolves a probability density function (“PDF”) for a characteristic of a characteristic of the state of the system and its time-varying parameters. The PDF is evolved based on advection by solving an advection partial differential equation that is based on a system model of the system. The system model has time-varying parameters for modeling the characteristic of the state of the system. The system uses the continuously evolving PDF to make predictions about the characteristic of the state of the system.

Abstract: A method for operating an industrial automation system may include receiving, via a first module of a plurality of modules in a control system, a plurality of datasets via at least a portion of the plurality of modules. The plurality datasets may include raw values without context regarding the plurality datasets. The method may then include identifying a subset of the plurality of datasets that influences a value of a target variable by analyzing the data without regard to the context, modeling a behavior of the target variable over time based on the subset of the plurality of datasets, and adjusting one or more operations of an automation device based on the model.

Abstract: A surface inspection apparatus includes an imaging device that images a surface of an object to be inspected; and a processor configured to: calculate a texture of the object through processing of an image imaged by the imaging device; and display a symbol representing the texture of the object at a coordinate position on a multidimensional distribution map.

Abstract: A casting solidification analysis method, which can analyze positions of shrinkage cavities more accurately than in the past, a casting method using the above method, and an electronic program are provided. A following casting solidification analysis method is provided. An amount of expansion/shrinkage for each solidification step length separated by inflection points in a cooling curve is determined, by setting a solid phase ratio at a completion of pouring to 0, setting a solid phase ratio at an end of solidification to 1.0, and determining the expansion/shrinkage amount for the each solidification step length by proportionally distributing the each solidification step length to the total solid phase ratio length.

Abstract: Systems and methods that facilitate the pre-operative prediction of post-operative tissue function to assist a clinician in planning for and carrying out a surgical procedure. In particular, systems and methods that facilitate the pre-operative prediction of post-resection lung tissue function, thus assisting a clinician in determining the location(s) and volume(s) of lung tissue to be resected.

Abstract: The present application provides a quantitative assessment method, apparatus and device for global stability of surrounding rocks of underground caverns, which are configured to provide a concrete, practical and effective quantitative assessment solution for a global stability state of the surrounding rocks of the underground caverns. The quantitative assessment method for global stability of surrounding rocks of underground caverns includes: extracting, after determining an assessment task for the global stability of the surrounding rock of a target underground cavern, initial data of the target underground cavern; dividing, according to the initial data, the target underground cavern into different independent cavern units or cavern sections; and rating, according to a preset stability assessment strategy, the eight factors influencing the stability of surrounding rocks of cavern units or the cavern sections are rated respectively, as a global stability assessment result of the target underground cavern.

Abstract: A multi-channel communication platform includes a messaging engine operative to receive a plurality of textual messages from a user, a routing engine, and an agent interface. The plurality of textual messages form a message thread and include at least one query requesting a reply. The routing engine is operative to transmit the message thread to a message queue associated with a live agent and to receive a reply from the live agent and transmit the reply to the user. The agent interface includes an active chat thread displaying the message thread and operative to receive the reply from the live agent, and a support window operative to display contextual information to the live agent about at least one of the user or the message thread. The routing engine further includes an automated agent that is configured to analyze the query and provide one or more proposed responses to the query.

Abstract: A system and method are provided herein for modeling of force vectors for serial casts to correct orthopedic deformities includes a camera configured to capture a three-dimensional image of the deformity, a computing device programmed to generate a three-dimensional model of the deformity based on the image of the deformity, determine the boundary conditions for the deformity based on the three-dimensional image of the deformity, and generate force vectors for a series of casts to correct the deformity. In exemplary embodiments, the system can print a series of casts to correct the deformity.

Abstract: A method of clustering data generated by an unknown model, the method including accessing the data, wherein the data includes a prediction target and a confidence, extracting a data group with high prediction confidence from the data, wherein the data group comprises a plurality of data cases, and where each of the data cases is described by a plurality of predictors, identifying high rank predictors of each the data cases in the data group, transforming the data group into a transformed data group including only the high rank predictors for each of the data cases, wherein the high rank predictors are ranked within each of the data cases included in the transformed data group, clustering the transformed data group to generate clusters, and profiling the clusters to extract an insight about the unknown model.

Abstract: A method involving determining a contribution that one or more process apparatuses make to a characteristic of a substrate after the substrate has been processed according to a patterning process by the one or more process apparatuses by removing from values of the characteristic of the substrate a contribution of a lithography apparatus to the characteristic and a contribution of one or more pre-lithography process apparatuses to the characteristic.

Abstract: A molecular dynamics system employing a spliced soft-core potential (the “MD/SSCP”) facilitates studying the arrangement of particles in an enclosure and/or near an interface. In some embodiments, the MD/SSCP initializes a three-dimensional representation containing the enclosure and the particles in a first arrangement. The MD/SSCP conducts a first simulation to transition the representation to a second arrangement, during which the particles are allowed to move through a wall of the enclosure while the SSCP is unengaged. The MD/SSCP conducts a second simulation to transition the representation to a third arrangement, during which it becomes more difficult for the particles to move through the wall of the enclosure while the SSCP is gradually engaged. The MD/SSCP conducts a third simulation to transition the representation to a fourth arrangement of the particles, during which it becomes almost impossible for the particles to move through the wall of the enclosure.

Abstract: Systems and methods are disclosed for generating subsurface data as a function of position and time. Exemplary implementations may include obtaining a first initial subsurface model and a first set of subsurface parameters, obtaining training subsurface property data and a first training subsurface dataset, generating a first conditioned subsurface model, and storing the first conditioned subsurface model.

Abstract: An interactive graphic design system design interface is described to enable design users to create a variant component that links multiple design elements as variants, where each variant represents a state or version of a run-time object, feature or user-interface.

Abstract: The present invention provides a method and device for determining an excitation point of a seismic source. The method includes: determining, according to a selected medium type, a distribution region corresponding to the selected medium type in a three-dimensional surface model corresponding to a preset surface range, where a preset position of the excitation point of the seismic source is located in the preset surface range, and a first mapping position corresponding to the preset position of the excitation point of the seismic source is located in the three-dimensional surface model; determining a second mapping position in the three-dimensional surface model according to the first mapping position and the determined distribution region; and determining, according to the second mapping position, a target position of the excitation point of the seismic source corresponding to the second mapping position in the preset surface range.

Abstract: Various methods, apparatuses/systems, and media for implementing an application release management module are provided. A receiver receives a release branch and a fix version as input in connection with an application. A processor implements a hook with the release branch and the fix version as the input that automatically integrates project tracking systems as part of the deployment pipeline. The hook is configured to automatically trigger the following processes: receive the release branch as the input and connecting to a repository to fetch all project tracking system identifications (IDs) for a commit in connection with the application; connect to corresponding project tracking systems to fetch detail information data for those project tracking systems based the IDs fetched from the repository; and validate for status of the project tracking systems based on scanning and analyzing the fetched detail information data prior to approving the received request for the UAT deployment.

Abstract: Systems and methods are provided for vehicle navigation. In one implementation, a system may comprise an interface to obtain sensing data of an environment of the host vehicle. A processing device may be configured to determine a planned navigational action for the host vehicle; identify, from the sensing data, a target vehicle in the environment of the host vehicle; predict a distance between the host vehicle and the target vehicle that would result if the planned navigational action was taken; determine a host vehicle braking distance based on a braking capability, acceleration capability, and speed of the host vehicle; determine a target vehicle braking distance, based on a speed and braking capability of the target vehicle; and implement the planned navigational action when the predicted distance of the planned navigational action is greater than a safe longitudinal distance being calculated based on the host vehicle and target vehicle braking distances.

Abstract: The present disclosure provides systems and methods for automatic packaging determination comprising a memory storing instructions and at least one processor performing steps comprising: receiving an order comprising at least one item; searching a data store to determine a tag, volume, and weight associated with each item; sorting the items into groups based on the tags of the items; performing an optimization process for each group of items having the same tag by: creating a data structure representing a first package of the group; iteratively simulating packing a largest remaining item of the group into the first package, wherein if the simulating determines that a threshold is exceeded: creating an additional data structure representing an additional package, and iteratively simulating packing a largest remaining item until all items of the group are packed into a package; and generating at least one list of items for the data structures representing packages.

Abstract: A system and method including identifying lane line data associated with a road within the sensor data; modelling a geometry of the road as a sequence of road segments, each road segment being defined by parameters including a curvature rate and a road grade rate; generating, based on a mathematical representation of the modelled road geometry, an approximation of each road segment; and generating, based on the generated approximation of each road segment, a three-dimensional representation of the road including the sequence of segments.

Abstract: A method of continuously determining a measure of quality for a control device of a technical device or for a system model of a technical system, from an input variable and an output variable. Time series of the input variable and the output variable are acquired up to a time step. A discrete ARMAX model structure is adapted for the ascertained, corresponding time series of the input variable and output variable, in order to determine a first set of parameters for modeling the time series of the input variable and a second set of parameters for modeling the time series of the output variable. The measure of quality is determined for the time step as a function of the first and the second set of parameters.

Abstract: The present disclosure provides systems and methods for scalable and parallel computation of hierarchical cascading in finite element method (FEM) simulations of surface acoustic wave (SAW) devices. Different computing units of a cluster or cloud service may be assigned to independently model different core blocks or combinations of core blocks for iterative cascading to generate a model of the SAW devices. Similarly, frequency ranges may independently be assigned to computing units for modeling and analysis of devices, drastically speeding up computation.

Abstract: Methods and systems for introducing self-contained intent functionality into decentralized computer networks is described. Specifically, the methods and systems for encoding user intent (e.g., what functions a value may be used for) into data structures for computer programs and/or transaction protocols intended to automatically execute, control, or record events and actions according to predetermined terms or criteria are described herein. For example, the methods and systems may include using a permission structure native to one or more cryptocurrencies to provide additional functionality that allows for an intent to be introduced into the computer program and/or transaction protocol. This intent may be introduced using a routing data structure indicating exchange eligibility of resource sources.

Abstract: Systems, devices, and methods related to a Deep Learning Accelerator and memory are described. An edge server may be configured on a local area network to receive sensor data of a person, such as a patient in a hospital or care center. The edge server may be implemented using an integrated circuit device having: a Deep Learning Accelerator configured to execute instructions with matrix operands; and random access memory configured to store first instructions of an Artificial Neural Network executable by the Deep Learning Accelerator and second instructions of a server application executable by a Central Processing Unit. An output of the Artificial Neural Network with the sensor data as input may identify a condition of the person, based on which the server application generates an alert, causing a central server to request intervention of the detected or predicted condition for the person.

Abstract: Systems, methods, and machine-readable media for defining data formats, reflecting system states of managed systems, and managing aspects of those systems via a logically centralized proxy are disclosed. Resources may be represented within a resource provider definition, a package of data format and interaction methods used to instantiate a resource provider, which is a running instance of an executable from the resource provider definition. Users may submit new resource provider definitions, view a list of definitions, and delete definitions. A resource provider service may access the resource provider definition and instantiate a resource provider. The resource provider instance instantiated from the resource provider definition exposes an API, via the resource provider service, to manage data items defined for the resource(s) in the resource provider definition. When the resource is changed, information tracking the state may be updated to reflect the new state of the managed resource.

Abstract: A method includes: mapping a boundary of a volume of flowing fluid; partitioning the volume by a computational mesh; finding a contaminant location at a first sensor that is disposed within the volume; obtaining a measured velocity of the flowing fluid within the volume; generating a reversed velocity vector field within the mesh, in response to the measured velocity; time stepping the contaminant location from the first sensor along the reversed velocity vector field until the contaminant location intersects the boundary of the volume; and finding a contaminant source at the intersection of the time stepped contaminant location with the boundary of the volume.

Abstract: Disclosed is a face verification method and apparatus. The method including analyzing a current frame of a verification image, determining a current frame state score of the verification image indicating whether the current frame is in a state predetermined as being appropriate for verification, determining whether the current frame state score satisfies a predetermined validity condition, and selectively, based on a result of the determining of whether the current frame state score satisfies the predetermined validity condition, extracting a feature from the current frame and performing verification by comparing a determined similarity between the extracted feature and a registered feature to a set verification threshold.

Abstract: A method and system for modeling aerodynamic interactions in complex eVTOL configurations for realtime flight simulations and hardware testing which includes decomposing the aircraft into aerodynamic subcomponents, wherein the interactions between these components are handled by flow simulations of the surrounding fluid, which may be Euler flow CFD simulations. The system may be used as a flight simulator for pilot training in a realtime environment. The system may be used to support component testing using an interface to those components, such as flight electronics and actuators, to test the components in high fidelity simulations of actual flight demands on those components. The system may also be used to support design analysis in non-realtime to run numerous simulations on different designs and to provide comparative output.