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 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 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 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: 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: 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: 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: 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: 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: 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: 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: 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: 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 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: 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 physical pipeline network is decomposed into multiple subnetworks. The subnetworks include upstream subnetworks and at least one downstream subnetwork. A network solver is executed on the upstream subnetworks in parallel to obtain a set of boundary conditions and a set of control device settings. The set of boundary conditions and a set of control device settings are then used to execute the network solver on the downstream subnetwork and obtain a result having another set of control device settings. The network solver may repeat executions until convergence is achieved. When convergence is achieved, the result is presented.

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.

Abstract: There is provided a method of monitoring a powder bed process in additive manufacturing, using at least one processor. The method including: obtaining a first image of a powder bed layer from scanning the powder bed layer in a first scanning direction using a first contact image sensor, the powder bed layer being formed by a powder re-coater arm in the powder bed process and the first contact image sensor being attached to the powder re-coater arm; determining a focus level property of the first image; and detecting non-uniformities in the powder bed layer based on the focus level property of the first image. There is also provided a corresponding system for monitoring a powder bed process.

Abstract: An NVM algorithm generator that evaluates a Liberty file characterizing an NVM module and a memory view of the NVM module that identifies ports and associated operations of the NVM module to generate a control algorithm. The control algorithm includes a read algorithm that includes an order of operations for assigning values to ports of the NVM module to assert a read condition of a strobe port, executing a memory read on the NVM module and setting values to the ports on the NVM module to assert a complement of a program condition. The control algorithm also includes a program algorithm that includes an order of operations for assigning values to ports of the NVM module to assert the program condition of the strobe port, executing a memory write and setting values to the ports on the NVM module to assert the complement of the program condition.

Abstract: The systems and methods described in this specification relate to generating a low frequency model of a subterranean formation for performing a seismic inversion. The systems and methods receive seismic data for a first region of the subterranean formation and well log data of one or more wells located at the first region. The systems and methods determine one or more relative layer attributes of the first region, one or more first input values for a machine learning model, and one or more second input values for the machine learning model. The systems and methods generate, a first relative low frequency model for the first region, and extrapolate, by executing the machine learning model by the processor, the first relative low frequency model to a second region of the subterranean formation.

Abstract: A technique is described for extracting or constructing a three-dimensional (3D) model from multiple two-dimensional (2D) images. In an embodiment, a foreground segmentation mask or depth field may be provided as an additional supervision input with each 2D image. In an embodiment, the foreground segmentation mask or depth field is automatically generated for each 2D image. The constructed 3D model comprises a triangular mesh topology, materials, and environment lighting. The constructed 3D model is represented in a format that can be directly edited and/or rendered by conventional application programs, such as digital content creation (DCC) tools. For example, the constructed 3D model may be represented as a triangular surface mesh (with arbitrary topology), a set of 2D textures representing spatially-varying material parameters, and an environment map. Furthermore, the constructed 3D model may be included in 3D scenes and interacts realistically with other objects.

Abstract: A computer is configured to generate a computer model predicting the progressive creation, density, and spacing of a plurality of cracks in a filler material, such as a “noodle,” for example, disposed at a connection interface between a load-bearing composite structural component, such as a stringer or a spar, for example, and the structural framework of a vehicle on which those structural components are utilized.

Abstract: A method for measuring indentation resistance includes: obtaining a first curve indicating a yield shear stress in a depth direction of a raceway surface of a material forming a rolling bearing in a state before the raceway surface is subjected to machining, a second curve indicating a static shear stress in the depth direction of the raceway surface in a state in which the raceway surface is subjected to the machining, and a third curve indicating a static shear stress in the depth direction of the raceway surface in a state in which rolling elements are in contact with the raceway surface and a static load is applied to the raceway surface; and obtaining a correlation between an area and an indentation depth of the raceway ring by defining a region surrounded by exceeding the first curve and the second curve and falling below the third curve as the area.

Abstract: A method for part replacement timing optimization. The method includes training a wear estimate model. Training the model includes predicting a plurality of wear patterns for a part, each wear pattern corresponding to a degree of severity. Training images are rendered for each wear pattern. Each of the training images is labeled with the corresponding degree of severity. A neural network is then trained with the labeled training images. An image of a deployed part associated with a machine is received and fed into the trained wear estimate model. The method further includes receiving a wear estimate for the part image from the trained wear estimate model, estimating a change in performance of the machine based on the wear estimate, and determining a machine utilization pattern for the machine. The machine utilization pattern and the change in performance estimate are combined to determine an optimal time to replace the part.

Abstract: Embodiments of the present disclosure are directed towards a system and method for performing an inspection of an underwater environment. Embodiments may include providing an autonomous underwater vehicle (“AUV”) and performing an inspection of an underwater environment using the AUV. Embodiments may further include acquiring real-time sensor data during the inspection of the underwater environment and applying an active simultaneous localization and mapping (“SLAM”) algorithm during the inspection, wherein applying includes estimating one or more virtual landmarks based upon, at least in part, at least one past measurement and a current estimate of AUV activity.

Abstract: Provided is an improved method, system, and computer program product to implement simulation for photonic devices. A composite, multi-domain simulation model is disclosed, with connected domain-specific representations that allow the use of the most relevant simulator technology for a given domain. The model has external connection points either expressed as actual ports or virtual ones, embodied by simulator API calls in the model.

Abstract: A workflow engine processes a work problem to generate solutions for the work problem comprising a plurality of related optimization problems. The work problem may comprise a second optimization problem that is dependent on a first optimization problem, such that at least one solution for the first optimization problem is to be utilized as an initial solution for the second optimization problem. The workflow engine generates and stores a branch object for each optimization problem, each branch object specifying a solver engine assigned for processing the optimization problem and dependency information indicating a dependency relationship between the optimization problem and another optimization problem. The workflow engine processes the work problem based on the branch objects by initiating each solver engine to perform optimization operations on the assigned optimization problem based on the corresponding branch object to generate one or more solutions for the assigned optimization problem.

Abstract: Visually seamless grafting of volumetric data. In some implementations, a method includes obtaining volumetric data that represents a first volume including one or more three-dimensional objects. Planar slices of the first volume are determined and for each planar slice, a result region and an outer region are determined, the outer region located between the result region and an edge of the planar slice. A target region is determined within the result region and adjacent to an edge of the result region. The result region is modified by updating source voxels in the target region based on corresponding continuity voxels in the outer region, and the updating is weighted based on a distance of each source voxel from an associated edge of the result region. The modified result regions are grafted to a second volume at the edge of the result regions to provide a grafted volume.

Abstract: A method of designing/manufacturing a static-magnetic-field shimming coil system for magnetic resonance imaging, includes determining an optimal stream function, defined on a reference surface enclosing a region of interest, for each member of a cohort of magnetic resonance imaging subjects; performing a Principal Component Analysis of the stream functions; determining at least one coil wiring pattern defined on the reference surface by discretizing at least a most significant principal component of the stream functions. A static-magnetic-field shimming coil system suitable to be obtained by the method at least one hollow dielectric support element having a cavity containing the region of interest and a surface having a shape corresponding to the reference surface or, where appropriate, one the additional surface; and a set of conducting elements deposed on or affixed to the surface of the dielectric support, forming the or one the coil wiring pattern.

Abstract: A method can include accessing a depogrid generated via gridding of a structural model in a depositional space and transforming the gridded structural model to a geological space via an inverse mapping where the structural model represents structural features in a subterranean environment based at least in part on data acquired via at least one sensor; determining local u, v and w axes for a plurality of cells in the depogrid via volumetric centroids and vertices represented by coordinates in a depositional space coordinate system (u, v, w) and by coordinates in a physical coordinate system (x, y, z); defining directional geological grid properties based at least in part on the local u, v and w axes; and simulating physical phenomena of the subterranean environment via a simulator based at least in part on at least a portion of the directional geological grid properties.

Abstract: Techniques are provided for the transfer of data (e.g. electromagnetic losses and temperature for an electro-thermal simulation) between domains (e.g. 2D regions, 3D regions) with dissimilar topologies, e.g. to represent a physical object. Meshes from 2D and 3D regions of respective simulation models involved in the data transfer are projected onto and through one another. For profile preserving (e.g., temperature, convection coefficients, mesh displacements, etc.) and conservative (e.g., force, mass, or thermal energy, etc.) data transfers, shape functions and area/volume fractions are used in mapping weight generation, respectively. These weights are later used to generate field values on the mesh of the target simulation model, using data from the mesh of the source simulation model. Related apparatus, systems, techniques and articles are also described.

Abstract: The present invention provides a novel approach to matching personality traits, as determined through observational or self-assessment reporting in combination with specific loci and identifiable variations within an individual's nucleotide sequence in the form of SNPs. The present invention further utilizes an individual's cyber footprint, in combination with SNPs and traditional assessment and self-assessment techniques, to define a testing and reinforcement mechanism for strengthening the interdependence and accuracy of each type of reporting in order to bolster the reliability of each alone and in combination.

Abstract: In a priority determination apparatus (10), a dissimilarity index calculation unit (11) calculates a dissimilarity index between a transmission/reception performance record of a first traffic flow related to a first security alert notified from a network-type intrusion detection apparatus and a transmission/reception performance record of a second traffic flow related to a second security alert notified from the network-type intrusion detection apparatus in the past, the network-type intrusion detection apparatus being configured to detect an attack on an apparatus in a network. A priority determination unit (12) determines a priority of the first security alert based on the dissimilarity index calculated by the dissimilarity index calculation unit (11).

Abstract: A computer-implemented method, including: capturing a nominal refractive power and/or a nominal astigmatism in a near reference point of the lens, determining a corrective value of the vertical or horizontal prism in the near reference point of the lens; modifying the nominal refractive power and/or the nominal astigmatism in the near reference point on the basis of the corrective value of the vertical or horizontal prism of the lens; determining a continuous course of the nominal refractive power or the nominal astigmatism along the main line of the lens on the basis of the modified refractive power and/or nominal astigmatism in the near reference point; and calculating or optimizing the lens on the basis of the modified nominal refractive power and/or nominal astigmatism in the near reference point and the determined course of the nominal refractive power and/or the nominal astigmatism along the main line.

Abstract: The present disclosure discloses a method for automatically identifying south troughs by improved Laplace and relates to the technical field of meteorology. The method includes the following steps: acquiring grid data of a geopotential height field; calculating a gradient field of the geopotential height field in an x direction; searching for a turning point where a gradient value turned from being negative to being positive, and cleaning the gradient field; calculating a divergence of the x direction to obtain an improved Laplacian numerical value L?; performing 0,1 binarization processing on the L? to obtain a black-and-white image and a plurality of targets of potential troughs, merging the black-and-white image and the plurality of targets of the potential troughs by expansion, recovering original scale through erosion, and selecting an effective target through an angle of direction of a contour and an axial ratio.

Abstract: A system for generating task schedules using an electronic device includes: a processor, the processor comprising neural networks; a memory coupled to the processor; a scheduler coupled to the processor, the scheduler is configured to: receive: a total work database configured to contain items representing work packages; a resources database configured to contain items representing resources required to fulfill items in the work packages; a constraints database configured to contain items representing constraints to fulfilling items in the work packages; and a scheduling objective database configured to designate a prime objective that is to be achieved by the optimum task schedule; provide a trained reinforcement learning engine for optimizing the task schedule based on inputs from the databases; and generate an optimum work package schedule to sequence the work packages using the trained reinforcement learning engine, wherein the optimum work package schedule maximizes the one or more prime objectives.

Abstract: Indexing a data corpus to a set of multidimensional points, including: generating a set of points in a multidimensional space; identifying, for each sample in a plurality of samples in a data corpus, a nearest point in the set of points; and generating an index mapping each sample with the nearest point in the set of points.

Abstract: Technologies are provided for determining an individual's likelihood of relapsing into prior behavior subsequent to a treatment for a mental health or addiction disorder, and in some instances predicting a likelihood time frame for such a relapse. Target subjects having a risk of addiction relapse, non-adherence to a treatment program, or absconding, may be automatically identified based on a multiplicative-regression model for relative survival (MRS) that is developed for predicting risk or likelihood of relapse or non-adherence. Further, in some embodiments, a leading indicator of near-term future abnormalities may be provided thereby proactively notifying supervisory personnel responsible for the person and providing such personnel with timely notice to enable effective corrective, preventive, or trend-modifying maneuvers to be undertaken.

Abstract: The present invention relates to methods of imaging template hybridisation for estimating cluster numbers prior to solid phase amplification and sequencing. More particularly, an initial round of imaging is carried out at the single molecule template hybridisation stage which allows a general estimation of cluster numbers prior to clusters being formed. Amplification of the signal allows single molecule imaging to be carried out using standard sequencing imaging apparatus.

Abstract: Techniques that facilitate optimization of prototype and machine design within a three-dimensional fluid modeling environment are presented. For example, a system includes a modeling component, a machine learning component, and a graphical user interface component. The modeling component generates three-dimensional model of a mechanical device based on a library of stored data elements. The machine learning component predicts one or more characteristics of the mechanical device based on a first machine learning process associated with the three-dimensional model. The machine learning component also generates physics modeling data of the mechanical device based on the one or more characteristics of the mechanical device. The graphical user interface component provides, via a graphical user interface, a three-dimensional design environment associated with the three-dimensional model and a probabilistic simulation environment associated with optimization of the three-dimensional model.

Abstract: A movement control method, an electronic device, and a computer storage medium are provided. The method includes: acquiring a first polygonal grid map corresponding to a target work region, determining an avoidance subregion non-traversable for the autonomous mobile mowing apparatus in the target work region according to three-dimensional information of each of polygonal planes in a first polygonal grid map and parameters of an autonomous mobile mowing apparatus; deleting a polygonal plane corresponding to the avoidance subregion from the first polygonal grid map to obtain a second polygonal grid map; and controlling the autonomous mobile mowing apparatus to move according to a second polygonal grid map. Based on the method, the region non-traversable for the autonomous mobile mowing apparatus can be avoided, thereby avoiding a danger caused by an abnormal handling behavior triggered by the autonomous mobile mowing apparatus, and improving safety of movement of the autonomous mobile mowing apparatus.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium for receiving an indication of damage to a building from a sensor network associated with the building, where the sensor network is responsive to damage to the building. Determining a location and an extent of the damage to the building based on the indication of damage. Automatically coordinating a repair for the damage in response to determining the location and the extent of the damage.

Abstract: A method for analysis of complex spatio-temporal data within a dynamic system that includes spatial positions and fields, at least a portion of which are interacting, includes determining values of mean field at every spatial position, determining spatio-temporal eigenmodes in spatial-frequency space assuming interacting fields, and determining spatial and temporal interactions between the eigenmodes. The resulting display indicates space/time localization patterns that are indicative of connectivity within the dynamic system.

Abstract: A system and method for learning human activities from video demonstrations using video augmentation is disclosed. The method includes receiving original videos from one or more data sources. The method includes processing the received original videos using one or more video augmentation techniques to generate a set of augmented videos. Further, the method includes generating a set of training videos by combining the received original videos with the generated set of augmented videos. Also, the method includes generating a deep learning model for the received original videos based on the generated set of training videos. Further, the method includes learning the one or more human activities performed in the received original videos by deploying the generated deep learning model. The method includes outputting the learnt one or more human activities performed in the original videos.

Abstract: A computing system for building a virtual factory includes database and a virtual factory building module. The database stores modeling data. The virtual factory building module builds the virtual factory in which a progress situation of a work performed from a first portion to a second portion is displayed, based on the modeling data and a time difference between an output time of a first signal and an output time of a second signal, which is calculated based on the first signal output when a product is at a first portion on one or more facilities monitored from a first location present in an outside of the one or more facilities used in a real factory and the second signal output when the product is at a second portion on the one or more facilities monitored from a second location present in the outside of the one or more facilities. The first location is spaced from the second location, and the first portion is spaced from the second portion.

Abstract: A method for ascertaining the pose of an object. The method includes recording a first and a second camera image of the object, ascertaining a correspondence between camera pixels of the camera images and vertices of a 3D model of the object, and ascertaining the pose of the object from a set of poses by minimizing, across the set of poses, a loss function, the loss function for a pose being provided by accumulation of distance measures between projections of the object in the pose onto the respective camera image plane and the corresponding pixels of the respective camera image.