Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a load adjustment simulation and a capacity forecast.

Abstract: A method for developing design rules for mitigating cutting-induced stick-slip vibration includes determining at least one value for one or more drill bit performance parameters for a design of a drill bit. The one or more drill bit performance parameters include a functional characteristic of a depth of cut controller of the drill bit. The method includes correlating one or more instances of cutting-induced stick-slip vibration for at least one prior drilling operation to the at least one value for the one or more drill bit performance parameters. The method includes generating drill bit design rules that mitigate cutting-induced stick-slip vibration based on the correlating.

Abstract: A data acquisition program, which includes core, image log, microseismic, DAS, DTS, and pressure data, is described. This program can be used in conjunction with a variety of techniques to accurately monitor and conduct well stimulation.

Abstract: A system, method, device and computer-readable medium for creating an ensemble model of water quality. The ensemble model is generated by determining a set of optimal component models for spectral regions of a body of water, and combining the optimal models. The optimal models can be based on remote sensing data, including satellite imagery. A K-fold partition approach or a global approach can be used to determine the optimal component models, and the optimal component models can be combined through spectral space partition rules to generate an ensemble model of water quality. The ensemble model not only has improved water quality prediction ability, but also has strong spatial and temporal extensibility. The spatial and temporal extensibility of the ensemble model is fundamentally important and desirable for long-term and large-scale remote sensing monitoring and assessment of water quality.

Abstract: A computer-implemented method for automatically detecting events and creating photo-product designs based on the events in a photo-product design system includes automatically identifying an event by an event detection module based on daily numbers of captured photos over a plurality of days, automatically selecting a photo-product type by an intelligent product design creation engine in the photo-product design system, calculating a daily weight for a photo product design in the photo-product type based on the daily numbers of captured photos, automatically determining a number of product photos allocated to each day based on associated daily weight, automatically selecting product photos from the captured photos each day at the event according to the number of product photos allocated to each day, and automatically creating a photo-product design for the event using the selected product photos.

Abstract: The present invention is a computer implemented method for determining and conforming the position of furniture within a building, comprising: accessing, by at least one processor, a model; identifying, by at least one processor, components and frame members, wherein the components are positioned within the model and interface with select frame members; detecting, by at least one processor, at least one instance where the component interfaces with at least one of the frame members; calculating, by at least one processor, an actual location of the component relative to the frame members; comparing, by at least one processor, the actual location of the component relative to the frame members to a required location; and generating, by at least one processor, a list of interfaces which the actual location is outside the predetermined range of the required locations.

Abstract: A computer program product comprising: accessing a model of a building, wherein the model is comprised of a plurality of assemblies, wherein the assemblies are comprised of a plurality of members; detecting the assemblies which are identified as floor joists, wherein the floor joist is identified by the specific members and member internal interfaces and the member properties; analyzing the floor joists to determine if a floor joist has an external interface with another floor joist; isolating the floor joists and the plurality of members; and analyzing each of the members of the floor joists which have external interfaces with other members, wherein the interface is analyzed to determine if the interface is conflicting, wherein a conflicting interface is one where the actual values of the members are inconsistent with a required value.

Abstract: A method for automatically creating electronic work instructions includes receiving a simulation data structure enabling a simulation of a production process of a product including simulation data and production process information, and automatically collecting, for each step of the production process, step related production process information and temporally tagging the production process information collected for each step in order to create, for each step and from the production process information, an electronic work instruction including temporal data enabling a temporal synchronization of a display of the electronic work instruction with a display of the simulation result. A data processing system and a non-transitory computer-readable medium are also provided.

Abstract: The present disclosure relates to a device for executing a convolutional neural network operation. The device comprises a first memory, a processing array comprising a plurality of processing strings, and a controller. The controller can be configured to fetch one or more batches of data into the first memory, regroup the one or more batches of data into multiple work items, wherein a first work item partially overlaps one or more work items among the multiple work items, and broadcast the multiple work items to the processing array, wherein the first work item is transferred to two or more processing strings of the processing array.

Abstract: A method of explaining a machine learning model, including: receiving a plurality of disease states for a patient over time from a database, wherein the disease states have a plurality of features; generating a plurality of locally faithful explanation models for the patient for each disease state based upon the machine learning model; calculating an explanation with respect to one feature of the plurality of features over time using the locally faithful explanation models; and calculating the importance of the one feature of the plurality of features over time based upon the plurality of locally faithful explanation models.

Abstract: A computer program product comprising: accessing a model of a building, wherein the model is comprised of a plurality of assemblies, wherein the assemblies are comprised of a plurality of members; detecting the assemblies which are identified as roof trusses, wherein the roof truss is identified by the specific members and member internal interfaces and the member properties; analyzing the roof trusses to determine if a roof truss has an external interface with another roof truss; isolating the roof trusses and the plurality of members; and analyzing each of the members of the roof trusses which have external interfaces with other members, wherein the interface is analyzed to determine if the interface is conflicting, wherein a conflicting interface is one where the actual values of the members are inconsistent with a required value.

Abstract: A computer program product comprising: accessing a model of a building, wherein the model is comprised of a plurality of assemblies, wherein the assemblies are comprised of a plurality of members; detecting the assemblies which are identified as wall panels, wherein the wall panel is identified by the specific members and member internal interfaces and the member properties; analyzing the wall panels to determine if a wall panel has an external interface with another wall panel; isolating the wall panels and the plurality of members; and analyzing each of the members of the wall panels which have external interfaces with other members, wherein the interface is analyzed to determine if the interface is conflicting, wherein a conflicting interface is one where the actual values of the members are inconsistent with a required value.

Abstract: A processor-implemented method of a neural network includes obtaining intermediate pooling results, respectively corresponding to sub-pooling kernels obtained by decomposing an original pooling kernel, by performing a pooling operation on input pixels included in a current window in an input feature map with the sub-pooling kernels, obtaining a final pooling result corresponding to the current window by post-processing the intermediate pooling results, and determining an output pixel value of an output feature map, based on the final pooling result, wherein the current window is determined according to the original pooling kernel having been slid, according to a raster scan order, in the input feature map.

Abstract: A method can include generating an initial number of simulation models of an environment, where each of the initial number of simulation models includes a corresponding input set of values for parameters; generating an additional number of simulation models of the environment, where each of the additional number of simulation models includes a corresponding input set of values for the parameters; performing simulations of physical phenomena using each of the initial number of simulation models and each of the additional number of simulation models, where each of the simulations generates a corresponding indexed output set of values; determining a series of indexed metrics using the indexed output sets; and, based on the series of indexed metrics, deciding to output the initial number of simulation models and the additional number of simulation models as an ensemble statistically representative of the environment or to generate one or more additional simulation models.

Abstract: Soil and groundwater contamination migration are forecasted according to instructions stored in a memory and executable by a processor to facilitate prompt and accurate remediation efforts. In embodiments, an environmental machine learning model is employed, and analysis and determination of contaminant plume distances, sources and destinations are made. A database stores raw environmental site data, from which relevant data can be extracted for a site of interest, and the environmental machine learning model can be trained on the extracted relevant data to predict the spatial and cross-section probability distribution of a contaminant plume at the site of interest.

Abstract: In an embodiment, a simulation of the evolution of a tumor in a prostate gland of a subject is based at least on a coupled system of reaction-diffusion equations and a patient-specific geometric model of the prostate gland of the subject. The use of reaction-diffusion equations and a patient-specific geometric model provides a tumor model that predicts the expected progression of prostate cancer in the subject. The tumor model may be used to devise a customized treatment for the subject.

Abstract: To have convenient and highly precise prediction of the shape of a human body after a treatment by calculation processing that includes extracting a feature vector Fnew from face data of a patient as an evaluation subject, selecting a plurality of case patients having feature vectors Fpre(i), extracted from the face data of a plurality of previous patients, obtaining pre-orthodontic facial shape models Hpre(i) and a post-orthodontic facial shape models Hpost(i) in which the faces of the selected previous case patients before and after a treatment have been normalized, obtaining a facial shape model Hnew, and obtaining a three-dimensional predicted facial shape model Hprd, by modifying the facial shape model Hnew of the patient as an evaluation subject, using a vector average difference AVEpost?AVEpre between the pre-treatment and post-treatment facial shape models.

Abstract: A static matrix model in a viscoelastic body is generated for each environmental temperature condition. A generalized Maxwell model is generated for each environmental temperature condition using a matrix of the static matrix model. A spring coefficient and a damper viscosity coefficient of a material test piece is identified as a function of a strain rate norm based on a measurement result of the material test piece using a temperature-time conversion rule. An average strain rate of a part is identified as a function of a displacement rate vector. A dynamic spring coefficient and a damper viscosity coefficient of the part are identified as a function of a component of the displacement rate vector. A generalized Maxwell model for analysis is generated by applying the dynamic spring coefficient and the damper viscosity coefficient identified as the function of the component of the displacement rate vector to the generalized Maxwell model.

Abstract: The present invention is a computer implemented method for determining and conforming the position of finishing materials within a building, comprising: accessing, by at least one processor, a model; identifying, by at least one processor, sheathing materials and frame members; detecting, by at least one processor, at least one instance where the sheathing material interfaces with at least one of the frame members; calculating, by at least one processor, an actual location of the sheathing material relative to the frame members; comparing, by at least one processor, the actual location of the sheathing material relative to the frame members to a required location; and generating, by at least one processor, a list of interfaces which the actual location is outside the predetermined range of the required locations.

Abstract: The present invention is a computer implemented method comprising: accessing a model of a building; isolating a set of roof trusses, wherein the roof trusses are comprised of members; analyzing each of the members and determining the actual properties of each of the members; comparing if the actual properties of the members are within a predetermined tolerance of a set of required properties for each of the members; and generating a list of all conflicting members.