Abstract: The nonlinearity of power amplifiers (PAs) has been a severe constraint in performance of modern wireless transceivers. This problem is even more challenging for the fifth generation (5G) cellular system since 5G signals have extremely high peak to average power ratio. Nonlinear equalizers that exploit both deep neural networks (DNNs) and Volterra series models are provided to mitigate PA nonlinear distortions. The DNN equalizer architecture consists of multiple convolutional layers. The input features are designed according to the Volterra series model of nonlinear PAs. This enables the DNN equalizer to effectively mitigate nonlinear PA distortions while avoiding over-fitting under limited training data. The non-linear equalizers demonstrate superior performance over conventional nonlinear equalization approaches.

Abstract: An information processing apparatus acquires first physical makeup information representing a physical makeup of a first object. The first physical makeup information is information generated based on images obtained by imaging the first object with a plurality of imaging apparatuses in a plurality of directions. The information processing apparatus acquires second physical makeup information representing a physical makeup of a second object and motion information representing motion of a plurality of parts of the second object. The information processing apparatus generates motion information associated with the first physical makeup information based on the second physical makeup information and the motion information relating to the second object.

Abstract: A system for determining a calculation utilizing differential privacy including an interface and a processor. The interface is configured to receive a request to determine result data of a calculation using multitenanted data. The multitenanted data comprises tenant data associated with a plurality of tenants. The processor is configured to: determine the result data by performing the calculation on the multitenanted data; determine whether a deterministic modification is needed to ensure privacy based at least in part on whether a number of participants in the result data is less than a threshold; and in response to determining that the deterministic modification is needed to ensure privacy: determine the deterministic modification; numerically modify the result data using the deterministic modification to determine modified result data; and provide the modified result data.

Abstract: Disclosed are techniques for evaluating a condition in a CAP report.

Abstract: Systems and methods include a computer-implemented method for generating a detailed heterogeneities map of a main reservoir. Pressure data for multiple wells of a main reservoir is received during a simultaneous field shut-in of the multiple wells. A scaled rate of change of pressure for each well is determined using the pressure data for each well. Rates of change of pressure for the multiple wells are plotted using the scaled rates of change of pressure. Clusters of wells having rates of change of pressure within a threshold difference of other wells in a given cluster are determined based on the plotting. A detailed heterogeneities map of the main reservoir is generated based the clusters of wells. The heterogeneities map defines heterogeneous regions. Each region contains a set of wells assigned to the heterogeneous region based on the wells having similar rates of change of pressure.

Abstract: In a three-dimensional image display method, a processor acquires first three-dimensional data and second three-dimensional data of a subject from a recording medium. The processor converts a first three-dimensional coordinate system of the first three-dimensional data and a second three-dimensional coordinate system of the second three-dimensional data into a three-dimensional common coordinate system on the basis of structure information related to a geometric structure of the subject. The processor displays an image of the first three-dimensional data in the common coordinate system and an image of the second three-dimensional data in the common coordinate system on a display.

Abstract: Modeling cross-sections of yarn may include receiving yarn simulation input comprising a descriptive model of a general curvature followed by the yarn, providing a plurality of fibers distributed radially from the center of a ply, setting a base position based on parameters, applying a strain model to simulate the effect of stretch forces applied to the yarn, and outputting a yarn model indicating position and directionality of fibers in the yarn. The technology also relates to real-time modeling of a garment comprising a fabric. For instance, real-time modeling of a garment may include providing an input associated with one or more parameters of the fabric, receiving frames of a computer simulated garment, the computer simulated garment including a simulation of the fabric, the fabric simulation including yarns simulated based on a yarn model.

Abstract: A system and method for adding interface protection to an electronic design using parameters. The electronic design and interface protection scheme are defined as parameters. An interface protection model creates interface protection implementation parameters that describe the implementation details of the interface protection. A hardware description model uses the electronic design parameters and the interface protection implementation parameters to create a hardware description. The interface protection scheme can be a built-in protection scheme, a user defined scheme, a scheme that includes place holders that the user may define later, and a combination of the preceding. The interface protection scheme may contain components to help with the retiming of the description of hardware.

Abstract: A method may include obtaining, at a server or analysis device, sensor data comprising at least one of vibration data and impulse data from one or more sensor devices coupled to a first utility infrastructure; obtaining training sensor data associated with at least one of the first utility infrastructure from a previous time period and one or more second utility infrastructures; comparing the sensor data with the training sensor data associated with the at least one of the first utility infrastructure from the previous time period and the one or more second utility infrastructures; and identifying or predicting a fault occurrence associated with the first utility infrastructure based on the comparing the sensor data associated with the first utility infrastructure to the training sensor data associated with the at least one of the first utility infrastructure from the previous time period and the one or more second utility infrastructures.

Abstract: The present disclosure provides systems and methods for optimized control of renewable energy powerplants (REPP). A method may include partitioning an REPP into at least two partitions for a period of time; defining a first bidding strategy of a first partition of the at least two partitions for the period of time, wherein the first partition includes a first allocation of capacity; defining a second bidding strategy of a second partition of the at least two partitions for the period of time, wherein the second partition includes a second allocation of capacity; generating a first score for the first bidding strategy of the first partition and a second score for the second bidding strategy of the second partition; adjusting the at least two partitions based on the first score and the second score; and discharging energy from the REPP according to the adjusted at least two partitions.

Abstract: An embodiment of a method for enabling content personalization for a user based on a cognitive state of the user includes providing an interface configured to enable a third party to request cognitive state data of the user as the user interacts with a content-providing source; establishing bioelectrical contact between a biosignal detector and the user; automatically collecting a dataset from the user; generating a cognitive state metric; receiving a request from the third party for cognitive state data; transmitting the cognitive state data to the third party device; and automatically collecting a dataset from the user as the user engaged tailored content.

Abstract: A system for assessing relative performance among a plurality of heating, ventilation, or air condition (HVAC) assets, the system comprising a processing circuit configured to identify a peer group comprising two or more of the plurality of HVAC assets having a common characteristic, generate values of a peer metric for the HVAC assets in the peer group based on corresponding operation data associated with the HVAC assets, perform a weighted outlier detection process using the values of the peer metric, and initiate an automated action in response to detecting an outlier HVAC asset.

Abstract: Described herein is a performance engineering maturity model (PEMM) system that can be implemented in a computer network to improve upon or overcome performance engineering issues within information technology (IT) systems of organizations.

Abstract: A method of identifying a system, the method comprising: obtaining an indication of background noise present at the system; generating a probe signal based on the indication; applying the probe signal to the system; estimating a response of the system to the probe signal; and identifying the system based on the measured response and the probe signal, wherein the probe signal comprises a whitening component configured to whiten noise in the estimated response due to the background noise present at the system.

Abstract: The present invention concerns an array processing image reconstruction method comprising: receiving a set of echo waveforms as measurements from the object of interest; defining a measurement model linking an unknown image of the object to the measurements; defining a data fidelity functional using the measurement model; defining a regularisation functional using a trained non-linear mapping, the regularisation functional comprising prior knowledge about the unknown image; defining an optimisation problem involving the data fidelity functional and the regularisation functional for obtaining a first image estimate of the unknown image; and solving the optimisation problem to obtain the first image estimate.

Abstract: A system and method are provided for examining data from a source. The method is executed by a device having a processor and includes receiving a set of historical data and a set of current data to be examined, from the source. The method also includes generating multiple statistical models based on the historical data and a forecast for each model. The method also includes selecting one of the multiple statistical models based on at least one criterion, and generating a new forecast using the selected model. The method also includes comparing the set of current data against the new forecast to identify any data points in the set of current data with unexpected values. The method also includes outputting a result of the comparison, the result comprising any data points with unexpected values.

Abstract: Methods, systems and apparatus to improve the efficiency of calculating a customer retention rate are disclosed herein.

Abstract: The present invention is directed to methods of identifying and treating a human subject harboring a tumor or other disease comprising assessing HRG gene expression at an mRNA level in the human subject and administering a treatment comprising an anti-HER3 antibody to the human subject whose HRG gene expression at an mRNA level is assessed as high. The present invention is also directed to methods of identifying a human subject harboring a tumor or other disease comprising assessing HRG gene expression at an mRNA level in the human subject and withholding a treatment comprising an anti-HER3 antibody to the human subject whose HRG gene expression at an mRNA level is assessed as low.

Abstract: A synthetic world interface may be used to model digital environments, sensors, and motions for the evaluation, development, and improvement of localization algorithms. A synthetic data cloud service with a library of sensor primitives, motion generators, and environments with procedural and game-like capabilities, facilitates engineering design for a manufactural solution that has localization capabilities. In some embodiments, a sensor platform simulator operates with a motion orchestrator, an environment orchestrator, an experiment generator, and an experiment runner to test various candidate hardware configurations and localization algorithms in a virtual environment, advantageously speeding development and reducing cost. Thus, examples disclosed herein may relate to virtual reality (VR) or mixed reality (MR) implementations.

Abstract: Systems and methods are disclosed for identifying subsurface features as a function of position in a subsurface volume of interest. Exemplary implementations may include obtaining target subsurface data; obtaining a conditioned subsurface feature model; applying the conditioned subsurface feature model to the target subsurface data, which may include generating convoluted target subsurface data by convoluting the target subsurface data; generating target subsurface feature map layers by applying filters to the convoluted target subsurface data; detecting potential target subsurface features in the target subsurface feature map layers; masking the target subsurface features; and estimating target subsurface feature data by linking the masked subsurface features to the target subsurface feature data.

Abstract: Three-dimensional (3D) hierarchical morphologies widely exist in natural and biomimetic materials, which impart preferential functions including liquid and mass transport, energy conversion, and signal transmission for various applications. While notable progress has been made in the design and manufacturing of various hierarchical materials, the state-of-the-art approaches suffer from limited materials selection, high costs, as well as low processing throughput. Herein, by harnessing the configurable elastic crack engineering-controlled formation and configuration of cracks in elastic materials, an effect normally avoided in various industrial processes, the present invention provides a facile and powerful technique to enable the faithful transfer of arbitrary hierarchical structures with broad material compatibility and structural and functional integrity.

Abstract: Systems and methods are provided for managing data associated with a point-in-time architecture (PTA) databases. An exemplary method includes: receiving first data from a first PTA database and second data from a second PTA database; validating one or more parameters associated with the first data and the second data; comparing the first data and the second data with one or more reference data; predicting one or more events based on the comparing; generating a data report indicating the first data and the second data leads to the predicted one or more events; performing, based on the data report, surveillance of the first data and the second data during a surveillance period and using a surveillance protocol; receiving an update to at least one of the first data, the second data, or the one or more reference data; and updating at least one of the predicted one or more events.

Abstract: Provided are a device and method for updating a register transfer level (RTL) power model for power consumption analysis of a semiconductor circuit by at least one processor. The method includes receiving a test scenario including a plurality of time slots, inputting the test scenario to an initial power model and identifying a first set of time slots related to a power state which is not defined by the initial power model among the plurality of time slots, determining a power value for a specific power state related to a second set of time slots which is a subset of the first set of time slots, and updating the initial power model on the basis of the specific power state and the determined power value. Each of the plurality of time slots is related to one power state.

Abstract: A method of compression of 3D mesh data using projections of mesh surface data and video representation of connectivity data is described herein. The method utilizes 3D surface patches to represent a set of connected triangles on a mesh surface. The projected surface data is stored in patches (a mesh patch) that is encoded in atlas data. The connectivity of the mesh, that is, the vertices and the triangles of the surface patch, are encoded using video-based compression techniques. The data is encapsulated in a new video component named vertex video data, and the disclosed structure allows for progressive mesh coding by separating sets of vertices in layers, and creating levels of detail for the mesh connectivity. This approach extends the functionality of the V3C (volumetric video-based) standard, currently being used for coding of point cloud and multiview plus depth content.

Abstract: An apparatus includes a processor and a machine-readable medium having program code executable by the processor to cause the apparatus to obtain a scan result based on a core sample, generate a set of contours of the scan result, and generate a set of object associations, wherein the set of object associations includes a first object association that is associated with a first contour from the set of contours and a second contour from the set of contours. The program code also generates a set of contour connections, wherein the set of contour connections includes a first contour connection that is based on the first object association. The program code also generates a reconstructed core having a three-dimensional space based on the set of contour connections, wherein the three-dimensional space includes a volume greater than the core sample.

Abstract: A method for circuit design based on Artificial Intelligence (AI) and an implementation system thereof. Subcircuits of a circuit-design topology of a historical phase, which are of different categories, are classified and a first feature model are obtained by training; a feature parameter of a circuit is acquired, and finally, the circuit feature parameter is compared with an expected parameter and a corresponding determination result is obtained, thereby a determination is able to be provided for the circuit design, and no simulation is required. As a result, an adjustment on the circuit design or an optimization on the circuit can be performed at a proper time, accordingly, the efficiency in design can be improved.

Abstract: A method for a marine vessel includes determining if a first propulsion device on the marine vessel is rotated about a horizontal tilt/trim axis above a predetermined threshold and determining if a second propulsion device on the marine vessel is deployed. If the second propulsion device is deployed, the method includes retracting the second propulsion device in response to determining that the first propulsion device is rotated above the predetermined threshold. If the second propulsion device is not deployed, the method includes prohibiting the second propulsion device from being deployed in response to determining that the first propulsion device is rotated above the predetermined threshold.

Abstract: An analysis assistance device includes an estimator that estimates distribution of measurement quality index data using a plurality of analysis condition data to be provided to an analysis device and a plurality of measurement data obtained in the analysis device based on the plurality of analysis condition data, a calculator that calculates the measurement quality index data from the measurement data obtained from the analysis device, and a comparison outputter that compares and outputs for display the measurement quality index data estimated by the estimator and the measurement quality index data calculated by the calculator.

Abstract: A method is for checking a characteristic variable of an application procedure of an X-ray based medical imaging application, each patient model, of a plurality of patient models stored in a database, is characterized by at least one model parameter. In addition, a subset of the plurality of patient models is selected based upon the at least one model parameter assigned to a patient model or based upon the X-ray based medical imaging application. In addition, a number of simulated application procedures of the X-ray based imaging application are performed based upon the selected subset of patient models, at least one patient model being input into each performed simulated application procedure. Furthermore, a value of the characteristic variable is ascertained for each performed simulated application procedure. In addition, the value of the characteristic variable ascertained is output or is automatically evaluated based upon a specified target for the characteristic variable.

Abstract: Various examples described herein are directed to systems and methods for dispatching trips to a plurality of autonomous vehicles. For example, a dispatch system may access trip result data describing a plurality of trips executed by a set of autonomous vehicles of a first vehicle type. The dispatch system may determine a first routing constraint for autonomous vehicles of the first vehicle type using the trip result data and select an autonomous vehicle to execute a first new trip using the first routing constraint. The dispatch system may send a request to execute the first new trip to the selected autonomous vehicle.

Abstract: The present application relates to apparatus (400, 500) for measuring an impedance of an electrical load (300) that is configured to be coupled to a controlled current source (200). The apparatus (400, 500) comprises a first coupling node (402) configured to be coupled to a first terminal (302) of the load (300) and a second coupling node (404) configured to be coupled to a second terminal (304) of the load (300). The apparatus further comprises a transformer (406) having a primary winding (408) and a secondary winding (410) and a capacitance (412) connected in series between a first terminal (414) of the secondary winding (410) and the first coupling node (402). A second terminal (416) of the secondary winding (410) is connected to the second coupling node (404).

Abstract: Developers can configure custom acoustic models by providing audio files with custom recordings. The custom acoustic model is trained by tuning a baseline model using the audio files. Audio files may contain custom noise to apply to clean speech for training. The custom acoustic model is provided as an alternative to a standard acoustic model. Device developers can select an acoustic model by a user interface. Speech recognition is performed on speech audio using one or more acoustic models. The result can be provided to developers through the user interface, and an error rate can be computed and also provided.

Abstract: Virality cause determination includes receiving a plurality of historical feedback items. It further includes bucketing a first feedback item in the plurality of historical feedback items into a first partition of feedback items, and bucketing a second feedback item in the plurality of historical feedback items into a second partition of feedback items. The second partition of feedback items is a baseline partition of feedback items. It further includes determining a set of candidate patterns present in the first partition of feedback items. It further includes determining whether a candidate pattern in the set of candidate patterns is disproportionately associated with the first partition of feedback items relative to the baseline partition of feedback items.

Abstract: A location-based medical scan analysis system is operable to generate a generic model by performing a training step on image data of a plurality of medical scans. Location-based subsets of the plurality of medical scans are generated by including ones of the plurality of medical scans with originating locations that compare favorably to location grouping criteria for the each location-based subset. A plurality of location-based models are generated by performing a fine-tuning step on the generic model, utilizing a corresponding one of the plurality of location-based subsets. Inference data is generated for a new medical scan by utilizing one of the location-based models on the new medical scan, where an originating location associated with the new medical scan compares favorably to location grouping criteria for the location-based subset utilized to generate the location-based model. The inference data is transmitted to a client device for display via a display device.

Abstract: The present invention relates to a method, a device, and a program for calculating a brachytherapy plan, and a brachytherapy apparatus. The method comprises: a step in which a computer obtains the number of radiation irradiation spots on the basis of radiation irradiation information (a radiation irradiation spot number obtaining step (S200)); a step in which the computer obtains target area information from a body model of a patient generated on the basis of medical image data of the patient (a target area information obtaining step (S400)); and a therapy plan calculating step (S600) in which the computer calculates, on the basis of the radiation irradiation information and the target area information, the radiation irradiation spots to which radiation is irradiated and the time length of irradiation to each radiation irradiation spot.

Abstract: A method is described for seismic depth uncertainty analysis including receiving wavelet basis functions and cutoff thresholds and randomly perturbing wavelet coefficients in reduced wavelet space based on the wavelet basis functions and the cutoff thresholds to generate a plurality of random wavelet fields; receiving a reference model in a depth domain; transforming the plurality of random wavelet fields to the depth domain and combining them with the reference model to form candidate models; performing a hierarchical Bayesian modeling with Markov Chain Monte Carlo (MCMC) sampling methods using the candidate models as input to generate a plurality of realizations; and computing statistics of the plurality of realizations to estimate depth uncertainty. The method may be executed by a computer system.

Abstract: Highly accurate shape registration processing is performed. In the image processing apparatus, data, which correspond to N frames (N is an integer not less than 2), in units of frames including a plurality of three-dimensional models per frame is acquired. Then, shape registration processing is performed for the acquired three-dimensional models corresponding to the N frames by using information indicating a correspondence relationship of the three-dimensional models between frames of the N frames.

Abstract: Techniques for rendering a user interface may include: receiving a view area height and width, a first integer denoting a count of objects to be displayed, a minimum row height, and a minimum object width; determining a maximum allowed number of columns in accordance with the view area width and minimum object width; determining a current number of rows in accordance with the view area height, a current number of columns, the minimum row height, and the first integer; determining whether the current number of rows and columns denote an optimized layout of the objects, wherein the optimized layout is in accordance with a plurality of conditions; and responsive to determining the current number of rows and columns denote an optimized layout, rendering the plurality of objects in a view area in accordance with the current number of rows and columns.

Abstract: Systems, methods and non-transitory computer-readable storage mediums are disclosed for cloud computing engineering, solar PV (SPV) or solar PV with storage (SPV/S) system configuration, pricing, quoting, advertising messaging, sales lead generation, and content marketing.

Abstract: An automated template and logic generator retrieves a codified user experience design having persona and outcome metadata and a finite state machine. An aggregation engine walks the finite state machine, identifies objects in each state, and selects components that correspond with the objects from a component library. Actions associated with the components are identified, and used to identify API calls that are required to be made to implement the actions. Corresponding APIs are aggregated to create a back-end for front-end (BFF) layer for the codified user experience definition. A pattern is created for a front-end layer for the codified user experience design based on the FSM. A code generator builds components to the objects of the codified user experience design to generate precompiled code, which is packaged with a node.js layer to allow local runtime. The generated precompiled code is versioned and placed in the user experience design repository.

Abstract: Monte Carlo and quasi-Monte Carlo integration are simple numerical recipes for solving complicated integration problems, such as valuating financial derivatives or synthesizing photorealistic images by light transport simulation. A drawback of a straightforward application of (quasi-)Monte Carlo integration is the relatively slow convergence rate that manifests as high error of Monte Carlo estimators. Neural control variates may be used to reduce error in parametric (quasi-)Monte Carlo integration—providing more accurate solutions in less time. A neural network system has sufficient approximation power for estimating integrals and is efficient to evaluate. The efficiency results from the use of a first neural network that infers the integral of the control variate and using normalizing flows to model a shape of the control variate.

Abstract: Element simulation is described using a machine learning system parallelized across a plurality of processors. A multi-element system is partitioned into a plurality of partitions, each partition including a subset of real elements included within the partition and ghost elements outside the partition influencing the real elements. For each processor of the plurality of processors, force vectors are predicted for the real elements within the multi-element system by making a backward pass through a graph neural network (GNN) having multiple layers and parallelized across multiple processors, the predicting including adjusting neighbor distance separately for each of the multiple layers of the GNN. A physical phenomenon is described based on the force vectors.

Abstract: Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products for network resource allocations. An example method may include receiving performance data associated with customer premise devices and nodes. The method may include determining a first amount of technician resources allocated to a first geographic area. The method may include determining a second amount of technician resources allocated to a second geographic area. The method may include determining a first score indicative of a first predicted demand for technician resources associated with the first geographic area, and a second score indicative of a second predicted demand for technician resources associated with the second geographic area. The method may include causing a third amount of technician resources to be allocated to the first geographic area and a fourth amount of technician resources to be allocated to the second geographic area.

Abstract: Some embodiments of an example method disclosed herein may include receiving point cloud data representing one or more three-dimensional objects; receiving a viewpoint of the point cloud data; selecting a selected object from the one or more three-dimensional objects using the viewpoint; retrieving a neural network model for the selected object; generating a level of detail data for the selected object using the neural network model; and replacing, within the point cloud data, points corresponding to the selected object with the level of detail data.

Abstract: A system a method for controlling an operation of HVAC system is provided. The system comprises at least one processor; and memory having instructions stored thereon that, when executed by the at least one processor, cause the system to receive data indicative of the operation of the HVAC system and optimize a cost function to reduce a difference between a full thermal state of the conditioned environment simulated from the received data based on a physical model of airflow including a partial differential equation (PDE) and a thermal state of the conditioned environment reconstructed by an observer using a reduced order model (ROM) of airflow including an ordinary differential equation (ODE) from values of the full thermal state at a set of locations, wherein optimization of the cost function is a multivariable optimization of a structure of the observer and a structure of the ODE.

Abstract: Methods, computing systems, and computer-readable media for determining flow control device settings.

Abstract: A method of assessing an operator emotional state and sending an alert based on the emotional state. The method includes tracking during a time period, using at least one sensor, one of an image sensor data, voice data or a biometric parameter of an operator. Determining, using a controller that is operatively connected to at least one sensor, a probability of a likely emotional state from a list of emotional states of an operator based on one of the image sensor data, voice data or the biometric parameter. Comparing, using a processor, the probability of one of the likely emotional states of the operator with a baseline emotional state of the operator. Sending, using the controller, an alert if most likely emotional state deviates from the baseline emotional state by a predetermined threshold.

Abstract: A system and method for simulation of fluid flow. The system being configured to remove loops in a vortex filament in a simulation model and reconnect the filament. The system may also be configured to model fluid flow in relation to a moving object and to correct errors in surface vorticity.

Abstract: A design program for causing a computer to execute a process including: selecting, based on design data of a printed wiring board, a first transmission line and a second transmission line among transmission lines provided in the printed wiring board; adjusting a first wiring length between a first via in the first transmission line and a third via in the first transmission line, a second wiring length between a second via in the second transmission line and a fourth via in the second transmission line, a length of the first via, a length of the second via, a length of the third via, or a length of the fourth via such that a phase of first crosstalk noise generated between the first via and the second via is inverted between the third via and the fourth via; and outputting the design data corrected based on the adjustment in the board.

Abstract: A cognitive proximate recommendation method, system, and non-transitory computer readable medium, include first extracting a requested feature and a requested value of the requested feature for a requested item and returning a return item from a plurality of return items stored in the database and returning a ranked list of the plurality of return items, where the ranked list further includes inter-relationships that are defined by defining a primary value of each of the requested items and the return feature corresponding to the requested feature or anchor value for each of the requested items and the return feature corresponding to the requested feature.