Abstract: The present disclosure discloses a design method of a soil cover layer of a solid waste landfill considering the effect of plant root, which relates to the field of designing a soil cover for a solid waste landfill and aims to solve the problem of the prior art that does not consider the non-linear spatial variation of water content and the effect of plant root on the gas migration process. By comprehensively considering the type of plant root architecture, the distribution of water content varying with space, the errors of calculating gas migration caused by assuming that the water content of the cover layer is constant and ignoring the effect of plant root is effectively reduced; and the actual environment of the on-site cover layer is more comprehensively considered, thus improving the calculation accuracy.

Abstract: Artificially structured materials are created artificially and offer customizable properties. They are being used in various fields. A system and method for designing artificially structured materials have been provided. The system and method is based on neural networks for approximating the electromagnetic (EM) responses of the artificially structured materials. By treating the EM spectral data as time-varying sequences and the inverse problem as a single-input, multi-output model, the architecture is forced to learn the geometry of the designs from the training data as opposed to abstract features thereby addressing both the forward and the inverse design problems.

Abstract: Due to geometric discontinuities introduced by welding and joining processes, stresses or strain cannot be calculated reliably calculated using modern analytical and computer methods as result of stress or strain singularity at joint locations, which leads to severe mesh sensitivity. Design and fatigue evaluation of these structures remain empirical. This disclosure addresses mesh insensitivity of stress/strain calculations for welded structures through a cut-plane traction stress method through a novel post processing of conventional finite element computation results, as well as provides a unified fatigue evaluation procedure for fatigue design and structural life evaluation for both low-cycle and high cycle fatigue regime subjected to either proportional or non-proportional multiaxial fatigue loading, as well as a simple and reliable method for treating spot welds.

Abstract: Creating a digital tooth model of a patient's tooth using interproximal information is provided. Interproximal information is received that represents a space between adjacent physical teeth of the patient. A digital teeth model of a set of physical teeth of the patient that includes the adjacent physical teeth is received. One or more digital tooth models is created that more accurately depicts one or more of the physical teeth than the corresponding digital teeth included in the digital teeth model based on the interproximal information.

Abstract: A method of improving at least one of quality and yield of a physical process comprises: obtaining values, from respective performances of the physical process, for a plurality of variables associated with the physical process; determining at least one Gaussian mixture model (GMM) representing the values for the variables for the performances of the physical process; based at least in part on the at least one GMM, computing at least one anomaly score for at least one of the variables for at least one of the performances of the physical process; based on the at least one anomaly score, identifying the at least one of the performances of the physical process as an outlier; and, based at least in part on the outlier identification, modifying the at least one of the variables for one or more subsequent performances of the physical process.

Abstract: An intelligent orthopedic external fixing system based on a cloud platform, includes a cloud platform, an intelligent recognition unit and a Taylor spatial frame manufacturing module, wherein the intelligent recognition unit comprises an osteotrauma reconstruction module, a three-dimensional medical model registration module, a condition characteristic extraction module, an image recognition module, a personalized designed module and a basic module. According to the disclosure, the cloud platform integrates medical registration technology, computer image recognition technology, three-dimensional reconstruction technology and deep machine learning technology.

Abstract: A method of modifying a CAD system model performed on a data processing system includes receiving a dataset of co-ordinates representing an article in 2d, or in 3d and receiving 2d or 3d constraints respectively, to be applied to any changes to the dataset of co-ordinates for the article. A modification to be applied to the dataset is received and combined with the relevant 2d and 3d constraints to produce a constrained modification for each of the article and associated article. The constrained modification is solved in 2d and in 3d to determine whether a solution exists in which all constraints are met. If the solve is successful, the constrained modification is applied to each dataset simultaneously and, updated datasets are stored. If the solve fails, the constraints may be reduced and the solve step repeated, or the process is terminated.

Abstract: Methods and systems are described for a computer-implemented complex adaptive systems metrology (CASM) technique for generating universally and mathematically standardized scores that quantify longitudinal evidence for either temporal-interaction scores or temporal-interaction benefit-and-harm scores to determine a quantitative significance estimate of scores for either standardized temporal-interaction scores or the standardized temporal-interaction benefit-and-harm scores.

Abstract: A surgical assistance system includes a processing unit; and a non-transitory computer-readable memory communicatively coupled to the processing unit and comprising computer-readable program instructions executable by the processing unit for: obtaining a video feed of a surgical procedure and monitoring the surgical procedure from the video feed; detecting, from an image processing of the video feed, a condition requiring a deviation from the surgical procedure, the deviation being defined as being outside of a standard surgical flow; and outputting a recommendation of deviation by intra-operatively providing the recommendation to an operator of the surgical procedure.

Abstract: A method includes arranging, via a processor, a design layout of a plurality of visualization objects representing a plurality of structural components of a structural system. The method includes receiving, via the processor, one or more input parameters for each visualization object. Each input parameter corresponds to a parameter of the represented structural component. The method includes generating, via the processor, a model of the design layout based at least in part on boundary conditions calculated from the structural components. The method also includes generating, via the processor, an updated layout of the visualization components based at least in part on the results of the model and generating, via the processor, a design report of the updated layout. The design report comprises instructions on arranging the structural components of the structural system.

Abstract: A computing device is described that obtains a representation of a target ear canal of a user. Using a machine-learned model that has been trained based at least in part on representations of previously fabricated ear-wearable devices, the computing device generates a representation of an ear-wearable device for the target ear canal.

Abstract: Embodiments include methods of identifying a personalized cardiovascular device based on patient-specific geometrical information, the method comprising acquiring a geometric model of at least a portion of a patient's vascular system; obtaining one or more geometric quantities of one or more blood vessels of the geometric model of the patient's vascular system; determining the presence or absence of a pathology characteristic at a location in the geometric model of the patient's vascular system; generating an objective function defined by a plurality of device variables and a plurality of hemodynamic and solid mechanics characteristics; and optimizing the objective function using computational fluid dynamics and structural mechanics analysis to identify a plurality of device variables that result in desired hemodynamic and solid mechanics characteristics.

Abstract: This system identification method includes: a step (S1) for measuring frequency responses (?, HR1), (?, HR2) . . . , and (?, HRn) in a real system under n sets of disturbances of different magnitudes; a step (S3) for calculating frequency responses (?, HM1), (?, HM2) . . . , (?, HMn) from input to output in n sets of mechanical models M1 to Mn including i sets (i is an integer of 1 or greater) of common parameters that do not change due to disturbance and j sets of disturbance variable parameters that do change due to disturbance; a step (S4) for calculating the values of a total of n sets of evaluation functions F (HRk, HMk) and the sum ?F thereof, and steps (S3 to S6) for searching for the values of i sets of common parameters and j×n sets of disturbance variable parameters for which the sum ?F would meet convergence conditions.

Abstract: An example of an apparatus is provided. The apparatus includes an input device to receive design data. The design data includes information about a geometry and load characteristics of an object. The apparatus further includes a structural design engine to generate print data to print the object on a three-dimensional printer based on the design data. The apparatus also includes a fluid design engine to generate fluidic data. The fluidic data represents a fluid channel within the object. In addition, the apparatus includes an output engine to generate an output file based on the print data and the fluidic data.

Abstract: Sequential hypothesis testing in a digital medium environment is described using continuous data. To begin, a model is received that defines at least one data distribution. Testing data is also received that describes an effect of user interactions with the plurality of options of digital content on achieving an action using continuous non-binary data. Values of parameters of the model are then estimated for each option of the plurality of options based on the testing data. In one example. A variance estimate is then generated based on the estimated values of the parameters of the model for each option of the plurality of options. From this, a determination is made as to a decision boundary based on the variance estimate and an estimate for a mean value of each option of the plurality of options based on the testing data.

Abstract: A virtual data acquisition component generates a building performance model having a plurality of predicted building performance metrics. A physical data acquisition component obtains a plurality of trended building performance metrics. An integrated interface receives the building performance model from the virtual data acquisition component having the plurality of predicted building performance metrics and the plurality of physical building performance metrics from the physical data acquisition component. The integrated interface enables the comparison of the predicted building performance consumption metrics with the trended building performance metrics to identify performance gaps.

Abstract: Described are techniques for modeling processing performed in a data storage system. Inputs received may include a plurality of workloads each denoting a workload for one of a plurality of storage groups, a plurality of service level objectives each denoting a target level of performance for one of the plurality of storage groups, a plurality of capacities each denoting a storage capacity of one of a plurality of storage tiers, and a plurality of maximum workloads each denoting a maximum workload capability of one of the plurality of storage tiers. Using the inputs, placement of data of the plurality of storage groups on the plurality of storage tiers may be modeled. Output(s) may be generated based on the modeling where the output(s) may include an amount of each of the plurality of storage tiers allocated by modeling to each of the plurality of storage groups.

Abstract: A porous implant design method includes defining a design volume for a porous implant, a load to be borne by the design volume, and an objective function solution characteristic related to the design volume. Next, the load is divided into a plurality of sub-loads and an optimization procedure is performed: until all sub-loads have been applied, one of the plurality of sub-loads is applied to the material in the design volume, material from the design volume is removed such that remaining material within the design volume is capable of bearing one of the plurality of sub-loads while satisfying the objection function solution characteristic; the remaining material defines a void space without material, the void space is set as a new design volume for any remaining sub-loads, the new design volume is set as being full of material. Then, the remaining material from each cycle of the optimization is combined.

Abstract: A method and a system for making an orthodontic appliance are provided, the method comprises: obtaining a 3D digital model comprising a plurality of vertices representative of surfaces of upper and lower teeth of a subject in a current occlusion therebetween; obtaining an indication of a desired occlusion between the upper and lower arch forms; determining, based on the desired occlusion, a shift value between the current occlusion and the desired occlusion; generating, based on the desired occlusion, an outer surface of the appliance 3D digital model corresponds to the respective occlusal surface portion of the given one of the upper and lower teeth having been repositioned towards the desired occlusion by the shift value.

Abstract: In an example, a method include receiving a data model of an object to be generated in additive manufacturing at a processor, the data model comprising object property data. A segmentation of a virtual build volume comprising at least a portion of the object into a plurality of nested segments may be derived. A first segment may be associated with first object generation parameters and a second segment may be associated with second, different, object generation parameters. A number of nested segments to be derived may be determined based on at least one of a geometry of the object and an intended object property.