Abstract: In implementations of prefabricated building components based on municipal and county codes, a housing design requirement describing a limitation on a dimension of a housing feature is identified. A housing design of a house is generated to comply with the identified limitation on the dimension, and the housing design is configured to be manufactured using a prefabricated component. The housing design is refined by adjusting design dimensions based on stock dimensions of subcomponents of the prefabricated component, and a refined housing design is generated based on the adjustments to the design dimensions.

Abstract: A method for estimating a probability of a drilling dysfunction or a drilling performance indicator value occurring includes entering drilling-related data having a probability distribution into a mathematical model of a drill string drilling a borehole penetrating the earth and entering drilling parameters into the model for drilling the borehole. The method further includes performing a plurality of drilling simulations using the model, each simulation providing a probability of the drilling dysfunction occurring or a probability of a drilling performance indicator value occurring with associated drilling parameters used in the simulation, selecting a set of drilling parameters that optimizes a drilling objective using the probabilities of the drilling dysfunction occurring or the probabilities of a drilling performance indicator value occurring; and transmitting the selected set of drilling parameters to a signal receiving device.

Abstract: A computer-implemented method according to one embodiment includes identifying a plurality of storage systems within a storage environment, determining characteristics of each of the plurality of storage systems, the characteristics including one or more data reduction techniques implemented by each of the plurality of storage systems, performing a plurality of storage simulations of one or more data volumes, utilizing the characteristics of each of the plurality of storage systems, and determining one of the plurality of storage systems to store the one or more data volumes, based on results of the plurality of storage simulations.

Abstract: A system is provided for programming workpiece feature inspection operations for a coordinate measuring machine (CMM), including a user interface that comprises a workpiece inspection program simulation portion configurable to display a 3-D view of a workpiece; an editing user interface portion comprising an editable plan representation of a current workpiece feature inspection plan for the workpiece; and an editable alignment program plan representation for the workpiece. The system is configured with the editable alignment program plan representation being automatically responsive to editing operations, regardless of whether the editing operations are performed in the 3-D view or the editable plan representation. The editing operations include deleting or adding at least one workpiece feature to or from the editable alignment program plan representation.

Abstract: Disclosed are various embodiments that facilitate remote emulation of computing devices. A request is received from a client device to evaluate an application without installing the application upon the client device. The application is then executed in a hosted environment, and a video signal from the application is captured. User interface data for a browser executed in the client device is generated. The browser renders the video signal and captures user input relative to the video signal. The user interface data and data encoding the video signal are sent to the client device.

Abstract: A device, system, and method performs an adaptive simulation. The method performed by a similar includes receiving a release to be incorporated into a user device, the user device being a deployed device. The method includes receiving a profile of the user device, the profile being indicative of settings and usage information of the user device. The method includes generating a simulated user device corresponding to the user device, the simulated user device having a simulated profile corresponding to the profile. The method includes performing, by the simulator, a simulation for the release based upon the simulated user device and the simulated profile.

Abstract: A model consolidation process combines multiple configuration models into a single unified configuration model that contains the union of the allowable combinations (i.e. combinations that are buildable) from each of the original models. An aspect of at least one embodiment of the model consolidation process is that it allows models to be combined in such a way that any incompatibilities or contradictions between models are detected and automatically resolved where possible. If an incompatibility is detected that cannot be automatically resolved, then the configuration models should not be combined. Instead if this incompatibility case occurs, at least one embodiment of the model consolidation process produces a description of the problem encountered and report the problem along with the necessary information required for a human to resolve it.

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for a machine learning approach for piecewise linear interface construction include: obtaining a cell fraction for a mesh cell in a mesh, a normal vector perpendicular to a linear interface for the mesh cell, and geometry information of the mesh cell, wherein the geometry information includes at least two data values; normalizing the geometry information of the mesh cell to reduce the at least two data values to at least one data value; obtaining an output value from a machine learning algorithm, previously trained using normalized geometry information of multiple different cells of a same mesh type as the mesh cell; determining the linear interface for the mesh cell based on the output value, the normal vector and the geometry information; using the linear interface for the mesh cell in numerical simulation processing of the mesh.

Abstract: Using a framing protocol, an application specific integrated circuit (ASIC) in an emulation system may transmit a start-of-packet molecule to a serializer-deserializer (SerDes) interface of a switching ASIC in a gap cycle leading up to an emulation cycle such that the switching ASIC may start routing mission data through the SerDes interface during the emulation cycle. The ASIC may transmit an end-of-packet molecule at a first gap cycle to the SerDes interface of the switching ASIC such that the switching ASIC may stop routing data through the SerDes interface during the gap cycles. The start-of-packet molecule may include a start-of-packet word, a status word, cyclic redundancy check word, and an idle word. The end-of-packet molecule may include an end-of-packet word, a status word, a cyclic redundancy check word, and an idle word.

Abstract: A motion system and method for motion performance modeling and monitoring the motion system uses a baseline motion performance model of the motion system, which is created by collecting motor operating variables, to compare real-time motor operating variables with values of the baseline motion performance model to determine the performance state of the motion system.

Abstract: A method for dynamic frequency scaling (DFS) on the electronic systems level (ESL). The method can run in a virtual environment and dynamically scale the frequency of a virtual component based on a first transaction time and a second transaction time.

Abstract: Methods and systems are described for determining particle treatment information. An example method may comprise determining a segment-averaged dose-averaged restricted linear energy transfer. The linear energy transfer may be determined by accounting for variations in segment length of paths of particles in a site.

Abstract: Disclosed herein are techniques to make the synthesized monitoring conditions of partially-observable hybrid systems robust to partial observability of sensor uncertainty and partial controllability due to actuator disturbance. The approach herein shows that the monitoring conditions result in provable safety guarantees with fallback controllers that react to monitor violation at runtime.

Abstract: Target characteristic data may be predicted using an apparatus including a processor and one or more computer readable mediums collectively including instructions. When executed by the processor, the instructions cause the processor to obtain a plurality of physical structure data and a plurality of characteristic data, estimate at least one structural similarity between at least two physical structures that correspond with physical structure data among the plurality of physical structure data, and generate an estimation model for estimating a target characteristic data from a target physical structure data by using at least one characteristic data and corresponding at least one structural similarity between the target physical structure data and each of the plurality of the physical structure data.

Abstract: Disclosed herein is a method that comprises determining one or more structural constraints for a structural design of a flexure mechanism. The method also comprises optimizing a level-set formula describing the structural design of the flexure mechanism subject to the one or more structural constraints for manufacturing the structural design of the flexure mechanism. The method further comprises outputting the structural design of the flexure mechanism based on the optimized level-set formula for manufacturing.

Abstract: Synthesis of functional coverage (e.g., covergroups) is optimized for hardware emulation. The optimization may reduce the number of logic gates used to implement the hardware emulator circuits or reduce the computer resources used to synthesize the hardware emulator circuits. The optimization may also prevent the synthesis of unnecessary circuits. In another aspect, the optimization may result in a representation that may be used both to synthesize hardware emulation circuits and as part of formal verification. This may result in a model that can be used for formal verification, hardware emulation, and software simulation.

Abstract: A method can include receiving spatially located geophysical data of a geologic region as acquired by one or more sensors; solving a system of equations for multi-dimensional implicit function values within a multi-dimensional space that represents the geologic region where the system of equations are subject to a smoothness constraint and subject to a weighted curvature minimization criterion at a plurality of spatially located points based on the spatially located geophysical data; and rendering to a display, a structural model of the geologic region based at least in part on the multi-dimensional implicit function values where the structural model characterizes stratigraphy of the geologic region.

Abstract: At least some of the disclosed systems and methods obtain a static earth model having a three-dimensional grid with multiple cells, each cell having petrophysical properties associated therewith. Further, at least some of the disclosed systems and methods adjust a size of at least some of the cells based on a predetermined scaling rule. Further, at least some of the disclosed systems and methods re-sample petrophysical properties for the adjusted grid cells. If the one or more attributes of the static earth model are within a threshold tolerance after the adjusting and re-sampling steps, the static earth model is used as input to a flow simulator.

Abstract: A shape search unit (22) that repeats processes of comparing each shape element of current shape data (11a) or previous difference shape data (12a) with each shape element of existing shape data (11b), setting a set of shape elements that are similar to each other as a result of the comparison as common shape data (12b), on the other hand, and setting a set of shape elements that are not similar to each other as next difference shape data (12a), until the common shape data (12b) is not extracted from the difference shape data (12a), a common mesh extraction unit (23b) that searches for corresponding common mesh data (13b) from an existing model database (11x) using the common shape data (12b) as a search key are provided.

Abstract: To improve a future prediction simulation technology in order to more accurately predict the future by enabling a mathematics expression and an operand numerical value to be appropriately corrected, a server executes, as a future prediction simulation apparatus, a future prediction simulation by using mathematics expression data and operand numerical data for specifying a mathematics expression and an operand numerical value, which are recorded in a server recorder and which are to be used in the future prediction simulation. The server includes an interpreting unit, a related information collecting unit, and a determining unit. The interpreting unit reads from the server recorder basis data, which is text data for specifying the basis used by the user to determine the mathematics expression and the operand numerical value, and generates interpretation data. The related information collecting unit collects related information related to the basis data by crawling the Internet using the interpretation data.