Abstract: An optimal design method and system for slope reinforcement with anti-slide piles includes: modeling a slope type to obtain a three-dimensional (3D) slope numerical calculation model; establishing different numerical calculation models for anti-slide piles according to different reinforcement schemes of the anti-slide piles; determining optimization indexes through a coupling analysis of the 3D slope numerical calculation model and the anti-slide pile numerical calculation model; calculating a comprehensive optimization value according to the optimization index; determining an optimal anti-slide pile reinforcement scheme according to the comprehensive optimization value, and determining whether the optimal anti-slide pile reinforcement scheme meets the optimization objective; and carrying out slope reinforcement according to the optimal anti-slide pile reinforcement scheme if yes.

Abstract: Methods used to more accurately predict spin on layer planarization over a patterned topography are provided. Methods are provided for generating a layer critical dimension model. In one embodiment, the critical dimension model is a layer thickness model that more accurately simulates patterned topography trends, as a function of feature dimensions, surrounding pattern density and radial position across the patterned topography. Additional methods are provided for calibrating the layer thickness model over one or more spatial areas to account for radial variations in the patterned topography. Further methods are provided for using one or more calibrated layer thickness models to predict a thickness of a layer (e.g., a spin on coating) as it is being deposited onto a patterned substrate. The methods disclosed herein may facilitate the planarization (i.e., flatness) of spin-on coatings during the device fabrication to form a uniformly planar layer or layer on the substrate.

Abstract: This application is directed to a power monitoring system for virtual platform simulation. In one embodiment, a simulation system may comprise a virtual power monitor (VPMON) and a performance simulator. An example VPMON module may include at least a system agent (SA) module to receive virtual platform data from the performance simulator. The SA module may then be further to determine at least one component power model based on the virtual platform data, and may proceed to formulate a platform power model based on the at least one component power model. During simulation of the virtual platform, the SA module may be further to generate power data corresponding to the virtual platform based on the platform power model. For example, the SA module may obtain performance data from the performance simulator, and may provide the performance data to the platform power model to generate the power data.

Abstract: A server placement controller determines a placement location for a custom server based on infrastructure support system requirements of the custom server and based on infrastructure support system capacities at respective unoccupied slots of a server mounting structure of a data center. In some embodiments, a server placement controller may utilize a hierarchical optimization process to select a placement location for a custom server, wherein the selected placement location meets the requirements of the custom server while also optimizing use of one or more infrastructure support systems, such as power infrastructure support system, a networking infrastructure support system, a cooling infrastructure support system, or other infrastructure support systems of a data center.

Abstract: A method for certifying a design of a liquid container onboard a vehicle for manufacture of the liquid container is provided. The method includes generating a computer geometric model of the liquid container according to the design, and executable code to reproduce dynamics and operational parameters of the vehicle, with the dynamics of the vehicle including dynamics during a vehicle maneuver that is selectable from a database of vehicle dynamics for a plurality of vehicle maneuvers. The method includes executing a simulating application to perform a simulation of liquid sloshing in the liquid container onboard the vehicle is performed subject to the dynamics and operational parameters, and iterate the simulation to refine a prediction of loads and stresses on the liquid container from the simulation produced thereby. Locations within the liquid container more vulnerable to fatigue-risk are identified based on the prediction, and output for certification of the design.

Abstract: A system and method are provided for manufacturing a physical model of a dental structure that includes a dental implant. In at least one example, the physical model is configured to allow a dental analog can be inserted into the physical model in a general coronal direction. A virtual model of the dental structure is provided including a virtual implant spatial disposition with respect to the virtual model corresponding to a physical implant spatial disposition of the dental implant with respect to the physical dental structure. A virtual analog installation structure is defined in the virtual model. Using the virtual model, a physical model corresponding to the virtual model is manufactured, the physical model being provided with a physical analog installation structure corresponding to the virtual analog installation structure.

Abstract: A method for identifying a medium structure coupling and a fracture network morphology of a shale gas reservoir includes the following steps. Firstly, performing a fracturing test on shale cores by using a modified Brazilian disc test and categorizing the fracture network morphology. Secondly, performing a shale matrix-fracture structure and stress sensitivity test on the shale cores having different fracture network morphology. After that, determining a stress sensitivity constant of different fracture network morphology according to indoor core data and finally preparing an identification chart of the fracture network morphology based on an indoor core stress sensitivity test combined with a production practice. The identification chart can be applied to an actual fracturing well, and the fracture network morphology is directly identified by a real-time effective stress and a normalized flow.

Abstract: Digitally designing artificial teeth for use in a dental prosthesis and/or dental restoration. Designing natural-looking functional artificial teeth based on computer-aided design using reference dentition articulated in a predetermined occlusal scheme as a basis for effective design. In particular, the occlusal surfaces of posterior artificial teeth are designed in a digital environment to provide effective consistent functional set-up and performance, especially across a variety of occlusal schemes, in the preparation of dental prostheses.

Abstract: Orthogonal unstructured grids are automatically constructed for a field or reservoir model with two types of internal boundaries: complex wells and faults, or other discontinuities. The methodology is used to constructed simulation grids for reservoirs or fields which contains both complex fault planes and multi-lateral wells. A hierarchical grid point generation, prioritization, conflict point removal system is provided enabling the use of unconstrained Delaunay triangulation. High-quality orthogonal unstructured grids are produced with good convergence properties for reservoir simulation.

Abstract: A synthetic world interface may be used to model digital environments, sensors, and motions for the evaluation, development, and improvement of computer vision and speech algorithms. A synthetic data cloud service with a library of sensor primitives, motion generators, and environments with procedural and game-like capabilities, facilitates engineering design for a manufactural solution that has computer vision and speech capabilities. In some embodiments, a sensor platform simulator operates with a motion orchestrator, an environment orchestrator, an experiment generator, and an experiment runner to test various candidate hardware configurations and computer vision and speech algorithms in a virtual environment, advantageously speeding development and reducing cost. Thus, examples disclosed herein may relate to virtual reality (VR) or mixed reality (MR) implementations.

Abstract: In some embodiments, a method of ensuring fabricability of a segmented design for a physical device to be fabricated by a fabrication system is provided. A proposed segmented design is searched for forbidden patterns in a set of forbidden patterns. Segments from the proposed segmented design that appear in forbidden patterns are added to a set of unfabricable segments. A material indicated by at least one unfabricable segment from the set of unfabricable segments is changed to create an updated segmented design, and the updated segmented design is searched for the forbidden patterns in the set of forbidden patterns. In response to determining that the updated segmented design includes at least one forbidden pattern, the adding, changing, and searching actions are repeated. In response to determining that the updated segmented design does not include any forbidden patterns, an indication is generated that the updated segmented design is fabricable.

Abstract: The integrated control processing unit is configured to recognize a varying processable amount over time within a predetermined period of each of the simulators; transmit a simulation request for a simulation process within an optimal processing amount within the recognized processable amount of each of the simulators to each of the simulators together with an operation state information group and a simulation condition; receive a plurality of evaluation value groups as a simulation process result based on the operation state information group and the simulation condition from each of the simulators; and recognize a highest evaluation value group based on an operation objective function among a plurality of received evaluation value groups. The operational plan optimization device can perform various simulation operations at high speed at lower cost and recognize an optimal operation efficiently using hardware resources when performing operation simulation.

Abstract: Unlike existing methods that rely on a manual procedure for setting conditions for performing computer-based simulations, embodiments automatically set conditions for a simulation of a real-world object represented by a computer aided design (CAD) model. In one such embodiment, the morphology of a CAD mode is analyzed to identify a function of an element of the CAD model. In turn, conditions for a simulation are defined based upon one or more rules corresponding to the identified function of the element of the CAD model, where said defining includes automatically setting conditions in a simulation of the real-world physical object.

Abstract: A design engine consolidates portions of a mechanical assembly design to reduce the number of components included in the design. The design engine analyzes the design to determine various criteria associated with the assembly. Then, the design engine identifies a group of components within the design to be consolidated. The design engine determines a volumetric region where the group of components resides and then subdivides the volumetric region. The design engine then initiates a generative design process based on the determined criteria to create geometry within each subdivision of the volumetric region. The newly generated geometry includes fewer components than the initial group of components. The design engine then replaces the group of components with the newly generated geometry, thereby consolidating the group and reducing the total number of components included in the design.

Abstract: Designing personalized oral irrigation may include a generated oral insert including a fluid inlet port, fluid nozzles, manifolds, and a tray configured to retain teeth. One variation of a design method may comprise the steps of displaying a graphical representation of the oral insert model, generating a geometry of the fluid nozzles based on oral scan data of a jaw, defining a tray surface that encloses the fluid nozzles based on the oral scan data, and generating a geometry of the manifolds that connect the fluid inlet port to the fluid nozzles on the graphical representation of the oral insert model. The manifolds are configured to provide a predetermined range of hydraulic pressures to each of the fluid nozzles.

Abstract: A multi-dimensional holomorphic embedding method for voltage control of an AC power system includes embedding multiple independent symbolic variables representing multiple control elements of the AC power system into AC power flow equations that describe the AC power system, analytically solving voltages for targeted buses of the AC power system in a form of multivariate power series or multivariable Padé approximants about the multiple independent symbolic variables such that coefficients of the multivariate power series or multivariable Padé approximants are obtained non-iteratively, and jointly adjusting the multiple control elements according to the multivariate power series or multivariable Padé approximants to control voltages of the targeted buses.

Abstract: A model generation apparatus according to an embodiment includes a processor circuit. The processor circuit is configured to: divide time-series data of operation information in a time direction to generate a plurality of segments; allocate any one memory control method of a plurality of memory control methods to each of the plurality of segments; estimate, for each of the plurality of segments, execution performance of memory access that is obtainable in a case where an information processing apparatus executes processing of a corresponding segment by an allocated memory control method; select a plurality of training segments from among the plurality of segments; and generate a decision model based on the selected plurality of training segments.

Abstract: A design space analyzer generates a parametric model associated with a design problem. The design space analyzer then discretizes various parameters associated with the model and generates a plurality of sample designs using different combinations of discretized parameters. The design space analyzer also computes one or more metrics for each sample design. In this fashion, the design space analyzer generates a coarse approximation of the design space associated with the design problem. The design space analyzer then evaluates portions of that approximation, at both global and local scales, to identify portions of the design space that meet certain feasibility criteria. Finally, the design space analyzer modifies the design space to facilitate more efficient exploration during optimization.

Abstract: A method determines measurement locations in an energy grid. In the energy grid, use is made of a controllable device for wide-range voltage control. A model of the energy grid is provided which specifies a voltage distribution within the energy grid by a system of equations and/or a system of inequalities depending on the control position of the controllable device. A simulation for minimizing the number of measurement locations is carried out on the basis of the model, and in that as a result of the simulation a minimum number and the respective position of measurement locations and also the control position of the controllable device are specified in order that the energy grid complies with a predefined voltage band during operation.

Abstract: This disclosure relates generally to system modeling, and more particularly to systems and methods for modeling computer resource metrics. In one embodiment, a processor-implemented computer resource metric modeling method is disclosed. The method may include detecting one or more statistical trends in aggregated interaction data for one or more interaction types, and mapping each interaction type to one or more devices facilitating the transactions. The method may further include generating one or more linear regression models of a relationship between device utilization and interaction volume, and calculating one or more diagnostic statistics for the one or more linear regression models. A subset of the linear regression models may be filtered out based on the one or more diagnostic statistics. One or more forecasts may be generated using the remaining linear regression models, using which a report may be generated and provided.