Abstract: Systems, apparatuses, and methods for implementing a safety monitor framework for a safety-critical graphics processing unit (GPU) compute application are disclosed. A system includes a safety-critical GPU compute application, a safety monitor, and a GPU. The safety monitor receives a compute grid, test vectors, and a compute kernel from the safety-critical GPU compute application. The safety monitor generates a modified compute grid by adding extra tiles to the original compute grid, with the extra tiles generated based on the test vectors. The safety monitor provides the modified compute grid and compute kernel to the GPU for processing. The safety monitor determines the likelihood of erroneous processing of the original compute grid by comparing the actual results for the extra tiles with known good results. The safety monitor complements the overall fault coverage of the GPU hardware and covers faults only observable at the application programming interface (API) level.

Abstract: A low-cost solution for performing a quantum operation provides for defining a target unitary that rotates a single qubit by a target rotation to place the qubit in a target state. The method further provides for identifying multiple projective rotation circuits that each implement an approximation of the target rotation upon successful measurement and assigning a selection probability to each of the multiple identified projective rotation circuits, the selection probability being defined by a metric that increases in value in proportion to a proximity between a qubit state resulting from the approximation and the target qubit state. The method further provides for probabilistically selecting one of the multiple projective rotation circuits according to the assigned selection probabilities and outputting a circuit definition that includes the selected projective rotation circuit.

Abstract: A method at a computing device including obtaining a first container image from a host computing device; executing a second container image at the computing device, the executing comprising: starting a container from the first container image, the container being for a development environment on the computing device; and customizing the container for a local environment on the computing device, thereby creating a customized container; and compiling developed code within the customized container.

Abstract: The present invention provides a method including receiving a data set for an entity including data associated with criterions. Each of the data entries is grouped into a grouping. Then generating an error probability for the grouping. The error probability includes an ensemble of algorithms that each provide an indication of a potential error within the grouping. Also, generating a flow metric for the grouping by evaluating a magnitude of values for the data entries of the grouping. Then determining a materiality factor for each grouping using the flow metric for the grouping, a planned materiality threshold, and a performance materiality and generating a risk of material error for the grouping using the error probability and the materiality factor of the grouping. Also, highlighting a grouping within the data set based on the risk of material error of the grouping.

Abstract: Systems and methods of managing power distribution in a portion of an electrical power grid with at least one power storage, including: receiving at least one power consumption rule from at least one consumer of the power grid, analyzing power consumption data from at least one power consumption meter connected to the power grid, applying the at least one power consumption rule on the analyzed power consumption data, based on forecasted data, and managing power consumption for the at least one consumer, based on the result of the at least one power consumption rule, and also based on a power capacity status of the at least one power storage.

Abstract: A trained artificial intelligence engine analyzes a subject's dental images and dental survey results to determine whether the subject has an apparent dental condition. The artificial intelligence engine is trained using manually-classified dental images and model survey results. The trained artificial intelligence engine can annotate the subject's dental images to indicate landmark structures and the location of the apparent dental condition. In addition, the trained artificial intelligence engine can generate a confidence score that indicates the likelihood that the subject has the apparent dental condition.

Abstract: A method for reducing peak electrical demand of a building includes generating a baseline electrical demand profile over a target time period from a model. The baseline electrical demand profile can be used to define a policy including a peak management period having at least a first sub-period and a subsequent second sub-period, the first sub-period having a first temperature set point for at least one air handling system of the building that is different from a normal operating temperature set point, the second sub-period having a second temperature set point different from both the normal operating temperature set point and the first temperature set point, and implementing the policy. The model can be generated from one or more of historical electrical data for the building, weather forecast data, building and equipment operating schedules, sales data, and data based on information received from a video camera located in the building.

Abstract: A search space used for multicriteria optimization in radiation treatment planning can be expanded using extrapolation. For instance, given an initial set of base plans, one or more virtual plans can be generated by assigning a weight to each base plan such that at least one of the weights is less than zero and/or such that the sum of the weights is not normalized to 1. The dose distribution for the virtual plan is computed as the weighted sum of the dose distributions of the base plans. Virtual plans criteria can be used together with the initial set of base plans to define an expanded search space within which interpolation can be performed to identify an optimal treatment plan.

Abstract: Systems and methods are provided for detecting road user frustration such as aggressive road users and/or uncomfortable road user behavior, and evaluating autonomous vehicle driving behavior that results in the road user frustration. An autonomous vehicle fleet can leverage information about typical road user behavior to create an index measuring the frustration level of other road users and/or likeability of autonomous vehicle behavior by other road users. Additionally, perception algorithms associated with sound detection and tracking can define human characteristics associated with frustrated drivers or other road users. Autonomous vehicle performance can be improved as a result of data analysis from the behavior of other road users.

Abstract: A computer-implemented method of extracting properties of one or more variables of a mathematical transformation in a document identified by automatic feature engineering (AFE) is provided. The document is parsed to extract at least one of a mathematical formula including identifying data, a textual description of the one or more variables of the mathematical transformation, or a category identifier to which the document belongs. Constraints are determined to apply to the one or more variables extracted from the mathematical transformations in the document. At least one candidate feature is automatically generated from a portion of an input data that conforms to the determined constraints.

Abstract: According to one embodiment, a prediction device includes: first processing circuitry and second processing circuitry. The first processing circuitry corrects a demand result value on a particular date on a basis of an adjustment coefficient depending on the particular date; and generates a prediction model of a demand on a basis of the corrected demand result value on the particular date and a demand result value on a non-particular date. The second processing circuitry calculates a demand predicted value on a date of a prediction target on a basis of demand result values on one or more dates, an adjustment coefficient depending on a particular date among the one or more dates, and the prediction model. The second processing circuitry inversely corrects the demand predicted value using an adjustment coefficient depending on the date of the prediction target if the date of the prediction target is a particular date.

Abstract: The present invention relates to an MPC-based hierarchical coordinated control method and device for a wind-hydrogen coupling system.

Abstract: A photon confinement theoretical model is proposed, and a solar cell structure model is designed based on the theoretical model, thereby providing a photonically-confined solar cell and optoelectronic device to effectively reduce the probability of photons escaping from the cell.

Abstract: [Object] To suppress the influence of uncertainties on a time of arrival while reducing the number of speed adjustments or the like to suppress the deterioration of fuel efficiency and comfort.

Abstract: A method for numerically compensating imaging errors caused by a geometrical deformation of a stereo camera is provided. An inertial variable vector is provided that is determined by an accelerometer, which inertial variable vector is expressed in a stereo camera coordinate system with a known geometrical relationship between the stereo camera coordinate system and the world coordinate system, and which inertial variable vector relates to a physical force which at least partly causes the geometrical deformation of the stereo camera. A calibrated analytic deformation model of the stereo camera is evaluated with the inertial variable vector as input. Updated external camera parameters are determined. The updated external camera parameters and known internal camera parameters of the two cameras are used for stereophotogrammetric analysis of images acquired by the stereo camera.

Abstract: Using vital sign measurements, such as systolic blood pressure (SBP), when combined with hematology parameters such as White Blood Cell Count (WBC) and Monocyte Distribution Width (MDW), has been identified as an improved method for detecting sepsis. The probability of having or developing sepsis is determined when each measurement is compared to a predetermined criteria and the combination of measurements that are within a reference range determines this probability.

Abstract: Systems and methods for decoding intended symbols from neural activity in accordance with embodiments of the invention are illustrated. One embodiment includes a symbol decoding system for brain-computer interfacing, including a neural signal recorder implanted into a brain of a user, and a symbol decoder, the symbol decoder including a processor, and a memory, where the memory includes a symbol decoding application capable of directing the processor to obtain neural signal data from the neural signal recorder, estimate a symbol from the neural signal data using a symbol model, and perform a command associated with the symbol.

Abstract: A simulation method, implemented by computer, simulates the optical power of a laminated glass of given shape liable to be obtained by laminating at least two glass sheets and at least one lamination interlayer, the laminated glass being liable to have an edge, a first main face, and a second main face. The method is suitable for determining a minimum value of optical quality index which a combination of glass sheets must satisfy so as to form a laminated glass of given shape with a given optical quality constraint.

Abstract: A method and system are presented for use in measuring characteristic(s) of patterned structures. The method utilizes processing of first and second measured data, wherein the first measured data is indicative of at least one Raman spectrum obtained from a patterned structure under measurements using at least one selected optical measurement scheme each with a predetermined configuration of illuminating and/or collected light conditions corresponding to the characteristic(s) to be measured, and the second measured data comprises at least one spectrum obtained from the patterned structure in Optical Critical Dimension (OCD) measurement session. The processing comprises applying model-based analysis to the at least one Raman spectrum and the at least one OCD spectrum, and determining the characteristic(s) of the patterned structure under measurements.

Abstract: The present disclosure provides a method for optimizing a tag of a point of interest s(POI). The method includes: obtaining first portrait feature data of each POI in a plurality of POIs and second portrait feature data of each tag in a plurality of marked tags corresponding to the plurality of POIs; mapping the first portrait feature data of each POI and the second portrait feature data of each tag to a metric space to obtain a first feature vector of each POI and a second feature vector of each tag; and optimizing at least one marked tag corresponding to a target POI based on a vector similarity between a first feature vector of the target POI and a second feature vector of at least one tag. The present disclosure provides an apparatus for optimizing a tag of a POI, an electronic device and a computer readable medium.

Abstract: Provided herein are systems, methods and apparatuses for a Black Hole Particle Swarm Optimization for Optimal Well Placement in Field Development Planning.

Abstract: An embodiment for training a forecasting model is provided. The embodiment may include receiving a first 12-month history of a plurality of leading markers. The embodiment may also include submitting the first plurality of leading markers to a convolutional neural network model. The embodiment may further include submitting a first output of the second convolution layer to the aggregation layer. The embodiment may also include generating one or more feature summaries and one or more first lagging markers. The embodiment may further include training the convolutional neural network model. The embodiment may also include removing the regression layer. The embodiment may further include creating a decision tree model and training the decision tree model to generate one or more updated first lagging markers.

Abstract: Example implementations include a method of locating landmarks at a target object model by obtaining a target model associated with a target physical object, and a reference model associated with a reference physical object and including an anchor landmark coordinate, generating a convergence metric based on a structural property of the target model at the anchor landmark coordinate, a structural property of the reference model at the landmark coordinate, and an alignment resolution associated with a first quantized distance, and in accordance with a determination that the convergence metric satisfies a convergence heuristic and does not satisfy a resolution heuristic, associating the alignment resolution with a second quantized distance less than the first quantized distance, and modifying a position of the anchor landmark coordinate based on the alignment resolution.

Abstract: In an approach to improve the field of architecture generation by dynamically sizing computer system architecture requirements for virtual machines. Embodiments define static parameters and dynamic parameters for customer consuming resources of the computer system architecture and store data of the static parameters and dynamic parameters in data warehouse database (DWDB) tables. Further, embodiments compute, using the data of the DWDB tables, calculate the minimum, maximum, mean and standard deviation (SD) for the user count and the CPU and memory usage, and update the DWDB tables based on the minimum, maximum, and SD values per customer.

Abstract: Systems and methods are provided for identifying one or more properties of a rock formation. A system may be configured to receive sensor data obtained from one or more sensors, the sensor data generated from drilling operations performed in a wellbore, generate stress metrics and strain metrics for the sensor data based on a calibrated stress and strain map, and identify one or more properties of a rock formation based on the stress metrics and the strain metrics.

Abstract: A computer-implemented method for generating a building design for a building site having a complex shape comprises: generating a first group of processing areas from a plurality of processing areas associated with the building design and a second group of processing areas from the plurality of processing areas; generating a first building footprint leg that is sized to include the first group of processing areas and a second building footprint leg that is sized to include the second group of processing areas; at a pivot location, joining the first building footprint leg and the second building footprint leg at an aperture angle; performing a numerical simulation to position the first group of processing areas in the first building footprint leg and the second group of processing areas in the second building footprint leg to generate a candidate building design for the building site; and rendering the candidate building design.

Abstract: Systems and methods of documenting a geosteering process include obtaining measured subterranean formation information while drilling and generating a proposed modification to a well plan based on the obtained information. Information relating to the proposed modification to the well plan may be stored in a drilling control system, and the drilling control system may generate and output a data log including information relating to the proposed modification to the well plan and performance indicators on a stand by stand basis.

Abstract: There is a need for more effective and efficient seasonally-adjusted predictive data analysis solutions. This need can be addressed by, for example, solutions for performing seasonally-adjusted predictive data analysis that use autoregressive integrated moving average (ARIMA) machine learning models.

Abstract: A non-transitory computer readable medium (26) stores instructions executable by at least one electronic processor (20) to perform a medical process or workflow compliance monitoring method (100). The method includes: monitoring (102) progress of an in-progress instance of a medical process or workflow using a Business Process Model (BPM) that includes a number of defined roles in the medical process or workflow; extracting (104) a non-compliance vector (c) from the BPM during the monitoring of the in-progress instance, the non-compliance vector comprising vector elements storing values of non-compliance metrics for the in-progress instance; converting (106) the non-compliance vector to a role assignments vector (a) whose vector elements store values indicative of role assignments for remediating non-compliance of the in-progress instance; and generating (108) one or more alerts directed to one or more roles on the basis of the vector elements of the role assignments vector.

Abstract: An amusement park monitoring system may include a plurality of sensor devices configured to acquire data related to one or more individuals within an amusement park and a memory storing instructions that, when executed, cause a processor to process the data from the plurality of sensor devices. The instructions further cause the processor to identify an activity performed by the one or more individuals based on the data and compare the activity to a behavior model. The behavior model may be indicative of one or more behavior threshold values associated with one or more amusement park attractions. The processor may then determine that the activity exceeds a behavior threshold value of the one or more behavior threshold values and initiate an action in response to the activity exceeding the behavior threshold value.

Abstract: A system can receive downhole acquisition data relating to a wellbore. The system can pre-process the downhole acquisition data. The system can generate an incomplete borehole image using the downhole acquisition data. The system can determine a sparse representation based on the incomplete borehole image by performing an optimization with respect to the incomplete borehole image. The system can generate a complete borehole image based on an inverse of the sparse representation.

Abstract: A computer-implemented method of training an image generation model. The image generation model comprises an argmax transformation configured to compute a discrete index feature indicating an index of a feature of the continuous feature vector with an extreme value. The image generation model is trained using a log-likelihood optimization. This involves obtaining a value of the index feature for the training image, sampling values of the continuous feature vector given the value of the index feature according to a stochastic inverse transformation of the argmax transformation, and determining a likelihood contribution of the argmax transformation for the log-likelihood based on a probability that the stochastic inverse transformation generates the values of the continuous feature vector given the value of the index feature.

Abstract: Method for controlling modules for projecting pixelated light beams of a host vehicle. The host vehicle includes a step of determining, using a control device and according to the collected data, a polynomial function which models the profile of the edge and the centre of the road, such that the road profile is modelled based on a polynomial function, the degree of which depends on the curvature of the road. Also included is a step of determining, by means of the control device, a starting point (Pd) and an arrival point (Pa) of an area for projection (ZPd, ZPg, ZP) of patterns, and a step of determining, by means of the control device, a distance (De) between an axis (Ac) of a data/image acquisition means and the patterns, respectively for a right projection area ZPd and a left projection area ZPg. The control device is used to determine the width (Lm) of the pattern.

Abstract: One example described herein include a system that can detect an event associated with executing a software operation using a quantum service of a quantum computing system. Based on detecting the event, the system can identify a classical service (of a classical computing system) that corresponds to the quantum service. The system can then cause the software operation to be executed using the classical service.

Abstract: A system of exchanging information between machines is described. The system includes multiple communication modules with at least an infrared transmitter and receiver. At least one mobile robot having at least one said communication module. A receiving station communication module includes at least an opposing infrared transmitter and receiver. Each mobile robot identifies itself and communicates its intended tasks to a receiving station by sending a single pulse width encoded message. The encoding of information within the message occurs by the encoded message's timing.

Abstract: A device for diagnosing a turn-short fault of an induction motor, the device including an induction motor; and a fault detecting unit to detect a current flowing in a supply line that supplies power to an input terminal of the induction motor and diagnose whether the induction motor has a fault, in which the fault detecting unit diagnoses whether the induction motor has the fault by applying a dynamic model. A method thereof is also disclosed.

Abstract: A method includes calculating a plurality of permutation matrices of an input matrix that characterizes a linear transformation of a plurality of input states. The method also includes determining a plurality of settings of an optical circuit based on the plurality of permutation matrices. Each setting in the plurality of settings is associated with an electric power, from a plurality of electric powers, consumed by the optical circuit. The method also includes determining a selected setting of the optical circuit based on the electric power from the plurality of electric powers and consumed by the optical circuit at each setting from the plurality of settings associated with the electric power. The method further includes implementing the selected setting on the optical circuit to perform the linear transformation of the plurality of input states.

Abstract: Embodiments are disclosed for generating continuous curve textures based on an input exemplar. A method of generating continuous curve textures may include receiving an input exemplar which represents a repetitive pattern as a plurality of vector curves, generating an input graph representation of the input exemplar which represents a geometry and a topology of the input exemplar, synthesizing an output graph based on the input graph representation, and reconstructing output vector curves from the output graph.

Abstract: Provided is a control technique that enables a time required for platoon control operations to be shortened. A mobile robot includes, for example, a position distance calculation instruction transmission unit 1, a position distance calculation instruction transfer unit 2, a reply position distance calculation instruction transmission unit 3, a direction storage unit 4, a reply position distance calculation instruction transfer unit 5, an operation clock time announcement instruction transmission unit 6, an operation clock time announcement instruction transfer unit 7, a first moving unit 8, a movement start instruction transmission unit 9, a movement start instruction transfer unit 10, a second moving unit 11, a third moving unit 12, a determination unit 13, a fourth moving unit 14, a fifth moving unit 15, a waiting instruction transmission unit 16, and a waiting instruction transfer unit 17.

Abstract: The present invention relates to the field of real time process control using digital twins. In more detail, the present invention relates to the field of modeling distributed event-discrete systems using digital twins and subsequent use of the models for real time control of distributed even-discrete systems. There is provided a virtual twin engine for control of a distributed even-discrete system in real-time. The virtual twin engine has installed at least one executable modeling software kernel which runs subsystem use models in relation to subsystem clusters of the distributed event-discrete system. Also, the virtual twin engine operates the at least one digital twin in a passive manner through real time access to the modeling software kernel modeling the subsystem use model of the at least one digital twin.

Abstract: Apparatus for evaluating a mathematical function for a received input value includes a polynomial block configured to identify a domain interval containing the received input value over which the mathematical function can be evaluated, the mathematical function over the identified interval being approximated by a polynomial function; and evaluate the polynomial function for the received input value using a set of one or more stored values representing the polynomial function over the identified interval to calculate a first evaluation of the mathematical function for the received input value; and a CORDIC block for performing a CORDIC algorithm, configured to initialise the CORDIC algorithm using the first evaluation of the mathematical function for the received input value calculated by the polynomial block; and implement the CORDIC algorithm to calculate a refined evaluation of the mathematical function for the received input value.

Abstract: A ventilator system is capable of displaying complex information patterns in a GUI, thereby allowing a clinician to get subtract complex information from multiple parameters inputs.

Abstract: A repository is configured in a hybrid data processing environment comprising a classical computing system and a quantum computing system, to hold a plurality of quantum circuit components (QCC(s)). A degree of difficulty in simulating the received QCC in the classical computing system is transformed into a classical hardness score. A degree of difficulty in implementing the received QCC in the quantum computing system is transformed into a quantum hardness score. A first parameter in a metadata data structure associated with the received QCC is populated with the classical hardness score. A second parameter in the metadata data structure associated with the received QCC is populated with the quantum hardness score. The received QCC is transformed into a library element by at least augmenting the received QCC with the metadata data structure. The library element is added to the repository.

Abstract: Systems, methods, and computer program products described herein for building a prediction model with varying availability. Embodiments described herein build a prediction model that is initially trained with a selected subset of data characteristics (e.g., data characteristics that are commonly available in training data), and then augmented via Bayesian estimation with additional data characteristics when such data characteristics are available.

Abstract: Systems and methods herein address power for one or more processing units, using one of a plurality of power profiles during execution of a group of real-time instructions, the one of the plurality of power profiles determined based in part on a relationship determined between the one of the plurality of power profiles and a power profile of the group of real-time instructions, the relationship limited by a threshold, and the plurality of power profiles are associated with a plurality of groups of reference instructions.

Abstract: A method for three dimensional visualization and manipulation of downhole data. A measured signal is received a downhole environment and a three dimensional virtualization of the measured signal is generated. A stereographic viewer displays the three dimensional virtualization of the measured signal. The three dimensional virtualization can be manipulated in response to an input from a user, thereby creating a manipulated three dimensional virtualization. The stereographic viewer can display the manipulated three dimensional virtualization.

Abstract: A method includes obtaining a binary code of a controller. The method also includes decompiling the binary code of the controller to generate a source code. The method further includes generating one or more abstract syntax trees based on the source code. The method further includes generating an interpretable model based on the one or more abstract syntax trees. The interpretable model is interpretable by subject matter experts.

Abstract: Various methods, apparatuses/systems, and media for checking the implementation of the design systems/tool kits in application development are disclosed. A processor accesses a database that stores statistical data corresponding to implementing a new application or feature enhancement into a current application; scans an endpoint and collect corresponding statistical data from the database; generates feedback data based on the collected corresponding statistical data regarding implementing the new application or feature enhancement into a current application; creates a machine learning model configured to be trained to output decision data based on the generated feedback data; trains the machine learning model with the decision data; and generates a score by utilizing the trained machine learning model.

Abstract: A reduced performance monitoring system for a tiltrotor aircraft includes a physical component of the tiltrotor aircraft configured to displace over time in response to an input, a simulation component configured to generate a simulated displacement response of the physical component, and a comparison module configured to compare a measured physical displacement response of the physical component to the simulated displacement response of the physical component.

Abstract: Systems and methods are disclosed for providing at least one report relating to a wireless communications spectrum. At least one device is operable for wideband scan; to detect and measure at least one signal transmitted from at least one signal emitting device autonomously, thereby creating signal data; to analyze the signal data in near real-time, thereby creating analyzed data; generate the at least one report in near real-time; and to communicate at least a portion of the at least one report over a network to at least one remote device.