Abstract: A method for optimizing objective functions can include selecting an objective function based at least on a hierarchy, applying parameters to the objective function to generate an output, responsive to the output not satisfying a tolerance condition, assigning a penalty to the set of parameters and evaluating a convergence condition using the set of parameters and the penalty, responsive to the output satisfying the tolerance condition, evaluating an additional objective function using the parameters in an order corresponding to the hierarchy or evaluating the convergence condition responsive to the selected objective function being a final objective function, modifying the set of parameters using a genetic algorithm responsive to the set of parameters not satisfying the convergence condition, and outputting the set of parameters responsive to the set of parameters satisfying the convergence condition.

Abstract: In various embodiments, a stylization subsystem automatically modifies a three-dimensional (3D) object design. In operation, the stylization subsystem generates a simplified quad mesh based on an input triangle mesh that represents the 3D object design, a preferred orientation associated with at least a portion of the input triangle mesh, and mesh complexity constraint(s). The stylization subsystem then converts the simplified quad mesh to a simplified T-spline. Subsequently, the stylization subsystem creases one or more of edges included in the simplified T-spline to generate a stylized T-spline. Notably, the stylized T-spline represents a stylized design that is more convergent with the preferred orientation(s) than the 3D object design. Advantageously, relative to prior art approaches, the stylization subsystem can more efficiently modify the 3D object design to improve overall aesthetics and manufacturability.

Abstract: A method of manufacturing an electromagnet coil for use in a magnetic resonance imaging (MRI) system includes: generating a coil surface representation defining a surface to contain the electromagnet coil; defining a set of performance metric functions, the set including a mutual inductance function defining mutual inductance between the electromagnet coil and a second electromagnet coil; defining a performance functional based on the coil surface representation and the set of performance metric functions; optimizing the performance functional; generating a current density pattern over the coil surface representation based on the optimized performance functional; and obtaining coil windings defining the electromagnet coil from the current density pattern.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform: executing a greedy incremental batcher loop, which can comprise: selecting a first picklist of one or more picklists; and merging the first picklist with one or more picklists in a first remainder of the one or more picklists when the merging would decrease a cost of the first picklist, wherein the first remainder of the one or more picklists comprises the one or picklists excluding the first picklist; executing a randomized tote local search loop, which can comprise: selecting two random picklists of the one or more picklists, as merged; and swapping totes of the two random picklists of the one or more picklists, as merged, when the swapping would decrease a cost of at least one picklist of the two random picklists; executing an update min trolley loop, which can comprise: selecting a shortest picklist of the one or mor

Abstract: Examples described herein include systems and methods which include wireless devices and systems with examples of mixing input data with coefficient data. For example, a computing system with processing units may mix the input data for a transmission in a radio frequency (RF) wireless domain with the coefficient data to generate output data that is representative of the transmission being processed according to the wireless protocol in the RF wireless domain. A computing device may be trained to generate coefficient data based on the operations of a wireless transceiver such that mixing input data using the coefficient data generates an approximation of the output data, as if it were processed by the wireless transceiver. Examples of systems and methods described herein may facilitate the processing of data for 5G wireless communications in a power-efficient and time-efficient manner.

Abstract: The kernel function generation unit 81 defines a first kernel function by using two-dimensional feature representation that represents a combination of two features of data. The model learning unit 82 defines a linear model including an inner product of a mapping used in the first kernel function and a first weight and performs learning with the defined linear model. The component expanding unit 83 expands the learned linear model to define expanded component representation that is new component representation of the data. The expansion model generation unit 84 generates an expansion model including an inner product of data by the expanded component representation and a second weight.

Abstract: A system and method are disclosed for campaign planning and include modeling the use of campaign operations and campaignable resources of a supply chain network including a production line to produce products using campaign operations and campaignable resources as campaign planning problems, defining an evaluation function comprising a weighted sum of features evaluated from the campaign planning problem, initializing weights to build a consumption profile and evaluation function, determining fitness values that indicate a level of variability, evaluating reward values based on the fitness values, selecting a sub-sample of the top fitness values having the best associated objective function, repeating the generating, the evaluating and the selecting steps to adjust the weights until a stopping criterion is met indicating an optimal solution has been reached, and determining a campaign plan for the use of the campaign operations and campaignable resource.

Abstract: A method and system for searching for a route using road-shoulder parking state information is provided for a vehicle operating in conjunction with a server via a wireless communication network. The method includes identifying vehicles stopped on a shoulder of a road by analyzing an image captured by a camera and determining a vehicle to be reported as being stopped on the shoulder of the road among the identified vehicles stopped on the shoulder of the road. A road-shoulder stop report message is generated corresponding to the determined vehicle to be reported as being stopped on the shoulder of the road and the road-shoulder stop report message is transmitted to the server.

Abstract: A distributed ledger system is described. The system includes a provider to provide a plurality of infrastructure resources, a client to access a first set of the plurality of resources; and an operator platform to facilitate access to the first set of resources from the providers, including a processor to generate one or more blocks of transaction data associated with each resource in the first set of resources to update chain code and measure of usage the first set of resources measure, wherein the chain code is stored in a distributed ledger database shared between the operator platform and the client.

Abstract: A microscope for computational microscopic layer separation may include an imaging device that includes a lens and an image sensor, an illumination system for illuminating a sample, and an actuator to adjust an axial position of a focal plane with respect to the sample. The microscope may also include a processor operatively coupled to the imaging device and the illumination system. The processor may be configured to measure, using the image sensor and the illumination system, optical aberrations of the imaging device at the axial position, and determine whether to adjust the focal plane with respect to the sample in response to the one or more optical aberrations. Various other systems and methods are also disclosed.

Abstract: A method and system are provided for combining models. The method includes forming, by a computer having a processor and a memory, model pairs from a model ensemble that includes a plurality of models. The method further includes comparing the model pairs based on sets of output results produced by the model pairs to provide comparison results. The method also includes constructing, by the computer, a combination model from at least one of the model pairs based on the comparison results. The comparing step is performed using user-generated set-based feedback.

Abstract: An on-demand service providing system which provides a service required for measuring a measurement target in response to a request from a user, the on-demand service providing system includes a selector configured to select a service which uses a sensor required for measuring at least the measurement target, and a system environment setter configured to set up a system environment for collecting a measurement result of the sensor used by the service selected by the selector as data which is usable for the user who has instructed to select the service via a network based on selection information obtained by the selector.

Abstract: Methods and systems, including computer programs encoded on a computer storage medium can be used for generating dynamic reservoir descriptions using geostatistics in a geological model. Data processing techniques can be used by a computing system to automate processes for generating, and updating (e.g., in real-time), subsurface reservoir models. An integrated methodology and hardware systems are described for determining properties of a reservoir in a subterranean region using a geological model based on seismic data and transient pressure data. The methodology and automated approaches employ technologies relating to machine learning and artificial intelligence (AI) to process seismic data and information relating to seismic facies.

Abstract: Content-sensitive computer applications are run on computer hosts in a computer cluster. A computer application running history including but not limited to computer host scores is recorded for the computer cluster. A request to start a container for a content-sensitive computer application type in the computer cluster is received. In response, available computer hosts in the computer cluster are identified. A specific computer host is selected from among the available computer hosts to run the container for the content-sensitive computer application type.

Abstract: Computer implemented techniques for simulating a fluid flow about a surface of a solid are disclosed. These techniques involve receiving a model of a simulation space including a lattice structure represented as a collection of voxels and a representation of a physical object, with the voxels having appropriate resolutions to account for surfaces of the physical object. The techniques also involve simulating movement of particles in a volume of fluid, with the movement of the particles causing collisions among the particles, identifying faces between two voxels where at least one of the faces violates a stability condition, computing a modified flux using a spatially averaged gradient in the vicinity of the two voxels where the at least one of the faces violates the stability condition, and performing by the computing system, advection operations on the particles to subsequent voxels.

Abstract: Embodiments of the invention are shown in the figures, where a method is presented for designing a component, including designing or receiving a model of the component; determining at least one mode shape of at least a portion of the model; redesigning the model based on the determined at least one mode shape to obtain a redesigned model of the component; and manufacturing the component in accordance with the redesigned model.

Abstract: Systems and methods are disclosed for creating an interactive tool for determining and displaying a functional relationship between a vascular network and an associated perfused tissue. One method includes receiving a patient-specific vascular model of a patient's anatomy, including at least one vessel of the patient; receiving a patient-specific tissue model, including a tissue region associated with the at least one vessel of the patient; receiving a selected area of the vascular model or a selected area of the tissue model; and generating a display of a region of the tissue model corresponding to the selected area of the vascular model or a display of a portion of the vascular model corresponding to the selected area of the tissue model, respectively.

Abstract: Disclosed are a method and apparatus for detecting a yaw-to-wind abnormality. The method includes: acquiring a wind direction deviation angle within a specified time period; calculating a power performance index, wherein the power performance index is a dimensionless number used to characterize power generation performance of a wind turbine; determining an optimal wind direction deviation angle based on the power performance index; determining a current wind direction deviation angle according to probability distribution of the wind direction deviation angle; and if a difference between the optimal wind direction deviation angle and the current wind direction deviation angle is greater than a preset threshold, determining that a yaw-to-wind abnormality is detected.

Abstract: Methods, apparatus and systems for movement tracking are described. In one example, a described system comprises: at least one sensor configured to generate at least one sensing information (SI); a memory; a processor communicatively coupled to the memory and the at least one sensor; and a set of instructions stored in the memory.

Abstract: The present disclosure provides a method for collecting parameters for casting solidification simulation and a gridded design method for a pouring and riser system, comprising calculating thermodynamic parameters of a superalloy; obtaining cooling curves of the superalloy with different thickness; measuring a linear expansion coefficient of the superalloy as a function of temperature; the design method comprising: simulating a solidification process with tubular features of different thickness, and determining a feeding distance of the features of different thickness; establishing a gridded pouring and riser system, dividing the casting into a plurality of modules according to the thickness, and dividing a cell inside each module, and ensuring that a size of the cell is less than the feeding distance with the thickness; simulating filling and solidification of castings and the gridded pouring and riser system, and analyzing simulation results of defects.

Abstract: Provided an apparatus that receives time series data from a data storage unit storing time series of sample data or feature values calculated from the sample data, computes a measure indicating change and repetition characteristics of the time series data, based on sample value distribution thereof, selects a state model structure to be used for model learning and estimation, from state models including a fully connected state model and a one way direction state model, based on the measure and stores the selected state model in a model storage unit.

Abstract: A building system for generating input forecast data. The building system comprising one or more memory devices configured to store instructions thereon that, when executed by one or more processors, cause the one or more processors to retrieve a current prediction set of measurements comprising current values associated with a plurality of time-steps; identify time-steps of the plurality of time-steps for which historical prediction values of a historical prediction set of measurements are outside of a tolerance of corresponding historical actual values of a historical actual set of measurements; replace each current value of the current prediction set of measurements that is associated with the identified time-steps with a predetermined value to generate an updated prediction set of measurements; and provide the updated prediction set of measurements to a prediction model.

Abstract: In an embodiment, the a method is provided. The method includes receiving forecast data in a database with an associated window value. The method also includes accessing data based on associated window values. The method further includes comparing the data accessed based on associated window values to other data.

Abstract: Fission reactor has a shell encompassing a reactor space within which are a central longitudinal channel, a plurality of axially extending rings with adjacent rings defining an annular cylindrical space in which a first plurality of primary axial tubes are circumferential located. Circumferentially adjacent primary axial tubes are separated by one of the plurality of secondary channels and a plurality of webbings connects at least a portion of the plurality of primary axial tubes to adjacent structure. A fissionable nuclear fuel composition is located in at least some of the plurality of secondary channels and a primary coolant passes thorough at least some of the primary axial tubes. Additive and/or subtractive manufacturing techniques produce an integral and unitary structure for the fuel loaded reactor space. During manufacturing and as-built, the reactor design can be analyzed using a computational platform that integrates and analyzes data from in-situ monitoring during manufacturing.

Abstract: Provided is an internal combustion engine control device capable of reducing a measurement load and calculating a flow velocity around an ignition plug. The internal combustion engine control device includes an inter-gap voltage calculation unit 31 and a flow velocity calculation unit 32. The inter-gap voltage calculation unit 31 calculates a reference inter-gap voltage under a reference condition, based on a secondary current and in-cylinder pressure. The flow velocity calculation unit calculates the flow velocity of a gas around the ignition plug based on the reference inter-gap voltage.

Abstract: This disclosure relates to generating interactive graphical visualisations of clinical and genetic data. A processor receives the clinical data indicative of observed phenotypes, accesses a database to determine associations of the observed phenotypes with disorders and accesses a second database to determine associations between the disorders and genetic properties. The processor then determines an association value for each combination of the observed phenotypes and the genetic properties based on a number of paths between them. The processor also generates a graphical user interface, comprising an arrangement of the association values and a user control element associated with the phenotypes and/or the genetic properties. Finally, upon detecting user interaction in relation to the user control element, the processor re-arranges the arrangement of the association values in the graphical user interface to reflect the detected user interaction.

Abstract: Techniques associated with generating simulation scenarios for simulating a vehicle controller are discussed herein. Log data may include sensor data captured by sensors of a vehicle. The log data may represent objects in an environment. Objects may be associated with a region of a discretized representation of the environment relative to the vehicle. Specific states of objects (relative position in a region type, velocity, classification, size, etc.) may represent an instance of an occupation. Log data can be aggregated based on similar region type and/or object state. A statistical model over object states can be determined for each region type and can later be sampled to determine simulation parameters. A simulation scenario can be generated based on the simulation parameters, and a vehicle controller can be evaluated based on the simulation scenario.

Abstract: The domain adaptation problem is addressed by using the predictions of a trained model over both source and target domain to retain the model with the assistance of an auxiliary model and a modified objective function. Inaccuracy in the model's predictions in the target domain is treated as noise and is reduced by using a robust learning framework during retraining, enabling unsupervised training in the target domain. Applications include object detection models, where noise in retraining is reduced by explicitly representing label noise and geometry noise in the objective function and using the ancillary model to inject information about label noise.

Abstract: A method of analyzing a microwave acoustic wave (AW) structure comprises defining a physical model of the AW structure, partitioning the physical model into a plurality of unit blocks, identifying at least one core block within the plurality of original unit blocks, computing characteristics of each of the at least one core block, deriving characteristics for each of the original unit blocks from the computed characteristics of the core block(s), combining the original unit blocks into a single block having computed characteristics derived from the characteristics of the unit blocks, such that the single block subsumes the plurality of original unit blocks, and deriving at least one electrical response of the physical model at least partially from the computed characteristics of the single block.

Abstract: A modular robot system can be formed by assembling a plurality of cube type unit robots. The modular robot system includes N cube type unit robots, wherein: one of the N cube type unit robots serves as a central control terminal, the cube type unit robot serving as the central control terminal assigns a distinguishable ID number to each of the N cube type unit robots; each robot including a cube-shaped housing, a step motor and a control unit installed inside the housing; the housing has one surface including a mounting groove to allow a rotational body rotating by a rotation shaft of the step motor to be mounted therein, and the other surface including a connection groove in the same shape as the mounting groove; and different cube type unit robots can be connected to each other by means of a connection body mounted in the connection groove.

Abstract: The systems and methods perform simulations in a systematic way as to minimize redundant data fetching and computations and reduce run-time. The systems and methods can cache information that can be used across multiple control strategies and speed up the process of simulation by several orders of magnitude. A business analyst can first generate a set of matching criteria that meets business intuition for the specific initiative and set of stores under analysis. A systematic approach in building similar sites models from control strategies that are combinations of this set of matching criteria can be applied to minimize data extraction and processing. The similarity function allows for the distance of each criterion to be combined linearly. Data for each matching criteria only needs to be extracted once but can be used in all control strategies that uses that criteria.

Abstract: The present disclosure provides systems and methods that may advantageously apply machine learning to accurately manage and predict inventory variables with future uncertainty. In an aspect, the present disclosure provides a system that can receive an inventory dataset comprising a plurality of inventory variables that indicate at least historical (i) inventory levels, (ii) inventory holding costs, (iii) supplier orders, and/or (iv) lead times over time. The plurality of inventory variables can be characterized by having one or more future uncertainty levels. The system can process the inventory dataset using a trained machine learning model to generate a prediction of the plurality inventory variables. The system can provide the processed inventory dataset to an optimization algorithm. The optimization algorithm can be used to predict a target inventory level for optimizing an inventory holding cost. The optimization algorithm can comprise one or more constraint conditions.

Abstract: A method of determining a minimum wall thickness for a pipe joint for use in a subsea pipeline comprises the steps of: i) determining an internal diameter of the pipe joint; ii) determining a minimum allowable hydrostatic pressure at the depth at which the pipe joint is to be used; iii) determining a target wall thickness for the pipe joint, the target wall thickness corresponding to the internal diameter and the minimum allowable hydrostatic pressure; iv) manufacturing a plurality of preliminary pipe joints having the internal diameter and the target wall thickness; v) carrying out external pressure collapse tests resulting in data representative of the hydrostatic collapse pressures at which the plurality of preliminary pipe joints collapse; vi) determining a probability distribution corresponding to the data based on a statistical tail model derived from Extreme Value Theory; vii) determining from the probability distribution a hydrostatic collapse pressure occurring with a probability of 10?5 or lower; an

Abstract: A method and system for generating a treatment plan are disclosed herein. A computing system receives a plurality of dose volume histograms for a plurality of patients and a plurality of volumetric dose distributions corresponding to the plurality of dose volume histograms. The computing system generates a volumetric dose prediction model using a neural network by learning, by the neural network, a relationship between a plurality of dose volume histograms for the plurality of patients and the corresponding plurality of volumetric dose distributions. The computing system receives a candidate dose volume histogram for a target patient. The computing system infers, via the volumetric dose prediction module, a volumetric dose prediction distribution matching the candidate dose volume histogram. The computing system generates a recommendation based on the inferred volumetric dose prediction distribution.

Abstract: Systems, computer-implemented methods, and computer program products that can facilitate quantum circuit topology selection based on frequency collisions between qubits, are described. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a simulation component that simulates operation of qubits in a subgraph topology of a graph representing a topology of a quantum circuit to determine a quantity of frequency collisions between the qubits. The computer executable components can further comprise a selection component that selects a quantum circuit topology based on the quantity of frequency collisions between the qubits.

Abstract: Techniques are described for training neural networks on variable length datasets. The numeric representation of the length of each training sample is randomly perturbed to yield a pseudo-length, and the samples sorted by pseudo-length to achieve lower zero padding rate (ZPR) than completely randomized batching (thus saving computation time) yet higher randomness than strictly sorted batching (thus achieving better model performance than strictly sorted batching).

Abstract: Unveiling of chimeric biomolecule sequences and applications thereof are described. Generally, systems comprising statistical analysis are performed to unveil chimeric biomolecule sequences from sequencing data sets. Bloom filters and hierarchical bloom filter tree data structures can be constructed such that chimeric sequence unveiling systems are more efficient. Finally, chimeric sequences are used to develop research tools, diagnostics, and medicaments.

Abstract: A system and method are provided for finding and retrieving information within an enterprise that is relevant to enterprise problems, enterprise opportunities, and unexpected or interesting events. The method includes scanning content related to a process conducted by an enterprise, where the process includes one or more process steps; identifying a problem, opportunity or event associated with a process step (an enterprise stress point); indexing the scanned content with respect to the enterprise stress point; determining whether the scanned content is information relevant to the problem, opportunity or event; and providing relevant information to a user. The relevant information includes a description or discussion of a contemporaneous or previous experience of the enterprise regarding the problem, opportunity or event.

Abstract: A temperature characteristic evaluation method includes the steps of acquiring temperature data, ambient temperature data, and internal temperature data are acquired. By changing at least one of the set temperature and the ambient temperature, a plurality of combinations of the set temperature data, the ambient temperature data, and the internal temperature data is obtained as a plurality of temperature data groups. A difference between the ambient temperature data and the set temperature data in each of the plurality of temperature data groups is calculated as the first difference. A difference between the internal temperature data and the set temperature data is calculated as the second difference. The combinations of the first and second differences are obtained as difference groups. The plurality of difference groups for the plurality of temperature data groups is approximated in a linear function, and the linear function is obtained as a temperature function.

Abstract: A computer-implemented method is provided for generating a language model for an application. The method includes estimating interpolation weights of each of a plurality of language models according to an Expectation Maximization (EM) algorithm based on a first metric. The method further includes classifying the plurality of language models into two or more sets based on characteristics of the two or more sets. The method also includes estimating a hyper interpolation weight for the two or more sets based on a second metric specific to the application. The method additionally includes interpolating the plurality of language models using the interpolation weights and the hyper interpolation weight to generate a final language model.

Abstract: A computer-implemented method for computationally determining ventilation efficiency when generating a building design comprises: generating a first three-dimensional (3D) mesh based on a first 3D building model; performing a first fluid dynamic computer simulation based on the first 3D mesh and first environmental data associated with the first 3D building model to generate a first output data set; and computing, based on the first output data set, a first value for a ventilation performance metric that is associated with the first 3D building model.

Abstract: Systems and methods are provided for generating a mesh for a computer model of a three-dimensional object. In an embodiment: a Cartesian mesh of hexahedral elements is generated for a representation of the three-dimensional object; a sweep direction is determined for the Cartesian mesh; a swept index level is assigned for each planar face of the Cartesian mesh perpendicular to the sweep direction; the hexahedral elements are grouped into a plurality of mesh groups, with each mesh group including contiguous hexahedral elements that span the same swept index levels along the sweep direction; a block volume is generated for each respective mesh group, with the block volume being defined by boundary loop edges of first and second faces of the respective mesh group; and a hexahedral mesh is generated for each of the block volumes generated for the mesh groups.

Abstract: A view of a virtual environment that includes a body of fluid is rendered by a method that includes dividing the body of fluid into a plurality of tiles having consistent size and shape and generating a distribution of waves for the plurality of tiles. A reactive region overlaying at least some of the plurality of tiles is defined and an object within the reactive region is identified. The method further includes determining an influence of the object on fluid within the reactive region, simulating motion of the fluid in the reactive region using the determined influence of the object, and rendering a frame of a video sequence including the view of the virtual environment, the view including a visual representation of at least a portion of the body of fluid.

Abstract: Disclosed are methods, systems, and computer-readable medium to perform operations including performing, using a nanoscale model, a simulation of fluid-fluid and fluid-rock interactions in the subterranean formation. The operations also include upscaling first results of the simulation of fluid-fluid and fluid-rock interactions to a microscale level. The operations further include performing, using a microscale model and the upscaled first results, a simulation of fluid flow inside rocks of the subterranean formation. Additionally, the operations include upscaling second results of the simulation of fluid flow inside rocks to a macroscale level. Further, the operations include performing, using a core-scale model and the upscaled second results, a simulation of fluid flow across the subterranean formation.

Abstract: A method for determining an aging of a battery having a variable state of charge within a cycling window forming a portion of a nominal operating domain. The method comprises: getting a tracking of a state of charge of the battery as a function of time over an interval of time, where the tracking comprises an alternation of calls for charging and discharging within the cycling window; for a plurality of calls over the time interval, getting a value of an electric measure indicative of energy exchanged by the battery during said call and estimating a state of health of the battery during said call based on said value; and determining an aging of the battery, on the basis of the estimated states of health.

Abstract: Disclosed are methods, systems, and articles of manufacture for characterizing an electronic design with real-time modeling. An electronic design may be prepared for an analysis that programmatically sweeps across multiple values of a new parameter for multiple instances in the electronic design. The analysis may be performed on the electronic design at least by adding the new parameter to the analysis engine and by sweeping the new parameter across the multiple values to generate an analysis result. The electronic design may then be updated based at least in part upon the analysis result.

Abstract: A method for assessing fatigue damage and a fatigue life based on a crystal plastic welding process model. According to the new method, consideration is given to the effects of the crystal slip system and the polycrystal plastic strain on the welding process performance of the material. A welding process damage and fatigue life assessment model is established on the mesoscopic scale. The effect of microscopic characterizations of materials on the welding process performance, as well as on the fatigue damage and life of welded joints, can be studied from the mesoscopic point of view. The relationship between the welding process and the evolution of the material performance can be determined by the macro-mesoscopic coupling calculation model to further determine the effect and degree of welding processes on the fatigue damage and life of materials.

Abstract: A processor may include a set of primitive operators, receive a set of data-driven operators, at least one of the set of data-driven operators including a machine learning model, and receive an input-output data pair set. Based on a grammar specifying rules for linking the set of primitive operators and the set of data-driven operators, the processor may search among the set of primitive operators and the set of data-driven operators to find a symbolic model that fits the input-output data set.

Abstract: A non-transitory computer-readable recording medium having stored therein an analysis program causing a computer to execute processing includes: generating a regression function including a plurality of explanatory variables and an objective variable based on regression analysis using observed values of a plurality of physical elements each related to motion of a moving object; dividing an explanatory variable space containing the plurality of explanatory variables into a plurality of regions by using the regression function; and generating contribution information on a contribution of each of the plurality of explanatory variables to the objective variable for each of the plurality of regions.

Abstract: Fast and scalable architectures and methods adaptable to available resources, that (1) compute 2-D convolutions using 1-D convolutions, (2) provide fast transposition and accumulation of results for computing fast cross-correlations or 2-D convolutions, and (3) provide parallel computations using pipelined 1-D convolvers. Additionally, fast and scalable architectures and methods that compute 2-D linear convolutions using Discrete Periodic Radon Transforms (DPRTs) including the use of scalable DPRT, Fast DPRT, and fast 1-D convolutions.