Abstract: Disclosed embodiments perform automated design for buildings or portions of buildings and machine-generate architectural design and floor plans. Computer-implemented systems and methods of designing multi-unit buildings and portions of buildings include a set of one or more input requirements, a relationships module, an options placement system, a layout predictor system, and a design plan generator. The input requirements include one or more pre-defined footprints and may include local regulatory requirements such as building code, zoning, accessibility, among others. The design plan generator generates an architectural design plan for the building or portion of a building that can be built on the one or more pre-defined footprints. Disclosed systems and methods substantially reduce the design time and cost while increasing the profitability, sustainability and efficiency of construction projects.

Abstract: Provided is a method for a dynamic state estimation of a natural gas network considering dynamic characteristics of natural gas pipelines. The method can obtain a result of the dynamic state estimation of the natural gas network by establishing an objective function of the dynamic state estimation of the natural gas network, a state quantity constraint of a compressor, a state quantity constraint of the natural gas pipeline and a topological constraint of the natural gas network, and using a Lagrange method or an interior point method to solve a state estimation model of the natural gas network. The method takes the topological constraint of the natural gas network into consideration, and employs a pipeline pressure constraint in a frequency domain to implement linearization of the pipeline pressure constraint, thereby obtain a real-time, reliable, consistent and complete dynamic operating state of the natural gas network.

Abstract: A method and system for generating best performing data models for datasets is disclosed. The method includes obtaining input dataset from external data sources. The method includes dividing dataset into three parts based on type of data variables and data samples. The method includes retrieving data modelling methods from a database and generating first set of data models for the first part of the dataset. The method includes determining first fitness function for the first part of the dataset based on the first set of data model. The method includes generating second set of data models for the second part of the dataset and determining second fitness function based on the second set of data model. Further, the method includes determining best performing data model among the first set of data models and the second set of data model. Additionally, the method includes outputting the best performing data model.

Abstract: To make it possible to evaluate quantitatively whether there is a problem on a machining surface. A simulator includes a memory unit that stores machining position data to be used when a machine tool machines a machining-target object, a machining surface simulation unit that uses the machining position data that is stored to perform a simulation of a machining surface, a surface texture calculation unit that calculates a surface texture of the machining surface that is simulated through the simulation of the machining surface, and a machining surface evaluation unit that evaluates the surface texture on the basis of an evaluation condition.

Abstract: A system is disclosed, in accordance with one or more embodiments of the present disclosure. The system includes a metrology tool configured to acquire one or more measurements of a portion of a sample. The system includes a controller including one or more processors configured to execute program instructions causing the one or more processors to: generate a surface kinetics model output based on a surface kinetics model; determine an expected response of the surface kinetics model output to excitation by polarized light; compare the determined expected response to the one or more measurements; generate one or more metrics based on the comparison between the determined expected response and the one or more measurements of the sample; adjust one or more parameters of the surface kinetics model to generate an adjusted surface kinetics model; and apply the adjusted surface kinetics model to simulate on-sample performance during plasma processing.

Abstract: Apparatuses, methods, and systems for generating gridded predictions of a probability of wildfire spread for geographies are disclosed. One method includes sensing observational climate and earth surface data, obtaining historical data on wildfire spread events, obtaining gridded climate data, creating a set of input features, creating a gridded wildfire data set, training a model that learns one or more probabilistic mapping function emulators between the set of input features and the gridded wildfire data set, which predicts a first probability of wildfire occurrence and a rate and extent of wildfire spread within a geographical region and at a specified period of time, and generating gridded wildfire prediction data including a second probability of wildfire occurrence and spread within the geographical region, using the model and a new set of input features over the geographical region but for a different time period.

Abstract: A molten metal component estimation device including: an input device configured to receive measurement information about a refining facility including measurement results regarding an optical characteristic; a model database that stores model expressions and model parameters, regarding a blowing process reaction, including a model expression and model parameters representing a relation between the oxygen efficiency in decarburization and a carbon concentration in a molten metal in the refining facility; and a processor configured to: estimate component concentrations of the molten metal including the carbon concentration in the molten metal by using the measurement information, the model expressions and the model parameters; estimate the carbon concentration in the molten metal based on the measurement results; and determine the model expression and the model parameters to be used when estimating the component concentrations of the molten metal, based on the estimation result of the carbon concentration in t

Abstract: Disclosed is a method for calculating a pressure loss of a parallel R-type automobile vibration damper. The automobile vibration damper includes a frame, a spring, an axle, a hydraulic cylinder, an upper oil tank, a piston, a lower oil tank, and a resistance adjustment section. The resistance adjustment section is composed of 4 capillaries connected in parallel and solenoid valves. The four capillaries are all coiled into an M shape. The 4 capillaries are R8, R4, R2, and R1 and are connected in series with solenoid valves VR8, VR4, VR2, VR1, respectively. Due to the viscous effect of oily liquid in the cylinder, when the oily liquid flows through the resistance adjustment section, damping can be adjusted by adjusting the configurations SRn of the solenoid valves VR8, VR4, VR2, and VR1.

Abstract: A Multi-Purpose Dynamic Simulation and run-time Control platform includes a virtual process environment coupled to a physical process environment, where components/nodes of the virtual and physical process environments cooperate to dynamically perform run-time process control of an industrial process plant and/or simulations thereof. Virtual components may include virtual run-time nodes and/or simulated nodes. The MPDSC includes an I/O Switch which delivers I/O data between virtual and/or physical nodes, e.g., by using publish/subscribe mechanisms, thereby virtualizing physical I/O process data delivery. Nodes serviced by the I/O Switch may include respective component behavior modules that are unaware as to whether or not they are being utilized on a virtual or physical node. Simulations may be performed in real-time and even in conjunction with run-time operations of the plant, and/or simulations may be manipulated as desired (speed, values, administration, etc.).

Abstract: Aspects and implementations of the present disclosure address shortcomings of existing technology by enabling autonomous vehicle simulations based on retro-reflection optical data. The subject matter of this specification can be implemented in, among other things, a method that involves initiating a simulation of an environment of an autonomous driving vehicle, the simulation including a plurality of simulated objects, each having an identification of a material type of the respective object. The method can further involve accessing simulated reflection data based on the plurality of simulated objects and retro-reflectivity data for the material types of the simulated objects, and determining, using an autonomous vehicle control system for the autonomous vehicle, a driving path relative to the simulated objects, the driving path based on the simulated reflection data.

Abstract: Systems, methods, and computer program products can be used for visualizing the behavior of flow of two or more fluid phases, wherein a fluid phase behavior is represented in a visualization. One of the methods includes determining an occupation time, which is the amount of elapsed time from when a fluid phase first occupies a particular location until a second time. The method includes generating data for a visualization, with a location in the visualization corresponding to the particular location, and with the generated data for that location in the visualization indicating the occupation time.

Abstract: Disclosed are a method and system for evaluating sonar self-noise at a ship design stage. The method includes: building a ship structure full-scale geometric simulation model; acquiring loss factors and sonar transducer space outfitting acoustic absorption coefficient material parameters; acquiring mechanical excitation, hydrodynamic excitation, and propeller excitation; inputting the loss factors and the sonar transducer space outfitting acoustic absorption coefficient material parameters into an established statistical energy evaluation model, and applying a mechanical excitation to a face plate of foundation of the built ship structure full-scale geometric simulation model, applying a hydrodynamic excitation to the surface of a ship hull, and applying a propeller excitation to a stern shaft to perform calculation of sonar self-noise of a ship to obtain total spectral density level of the sonar self-noise; and evaluating spectral density level calculation results by index requirements.

Abstract: Disclosed is a method of efficiently generating a computer-generated forces (CGF) entity that includes a simulated external vehicle within an interactive computer simulation that is displayed within an interactive simulation environment by an interactive computer simulation station.

Abstract: A computing device, including memory, an accelerator device, and a processor. The processor may generate a plurality of data packs that each indicate an update to a variable of one or more variables of a combinatorial cost function. The processor may transmit the plurality of data packs to the accelerator device. The accelerator device may, for each data pack, retrieve a variable value of the variable indicated by the data pack and generate an updated variable value. The accelerator device may generate an updated cost function value based on the updated variable value. The accelerator device may be further configured to determine a transition probability using a Monte Carlo algorithm and may store the updated variable value and the updated cost function value with the transition probability. The accelerator device may output a final updated cost function value to the processor.

Abstract: Techniques, systems, and devices are described for providing a computational frame for estimating high-dimensional stochastic behaviors. In one exemplary aspect, a method for performing numerical estimation includes receiving a set of measurements of a stochastic behavior. The set of correlated measurements follows a non-standard probability distribution and is non-linearly correlated. Also, a non-linear relationship exists between a set of system variables that describes the stochastic behavior and a corresponding set of measurements. The method includes determining, based on the set of measurements, a numerical model of the stochastic behavior. The numerical model comprises a feature space comprising non-correlated features corresponding to the stochastic behavior. The non-correlated features have a dimensionality of M and the set of measurements has a dimensionality of N, M being smaller than N.

Abstract: A method facilitating operation of a fabrication machine (FM) includes receiving, by a fabrication center application (FCA) running on a computing device (CD), via a fabrication center connector websocket (FCCW), and from a fabrication tools application associated with a 3D modeling application running on another CD, 3D model data of a to-be-fabricated part or assembly (TBF-P/A). The method includes generating, by the FCA, and based on the 3D model data, data representative of an enhanced cut (or bend or threading) list (E-C/B/T-L) usable by a machine control application (MCA) running on a third CD for the FM to fabricate the TBF-P/A, the third CD also running a fabrication desktop application associated with the MCA. The method includes transmitting, by the FCA, and via the FCCW, the E-C/B/T-L data to the third CD to enable use by the MCA of the E-C/B/T-L data for fabricating the TBF-P/A by the FM.

Abstract: Methods and systems include receiving a product attribute that identifies a product. A first component attribute and a second component attribute are received. The first component attribute identifies a first component included in the product and the second component attribute identifies a second component included in the product. The methods and systems further includes receiving first manufacturing data associated with the first component and second manufacturing data associated with the second component, applying a set of compatibility rules to the first manufacturing data and the second manufacturing data, determining pairing data from the application of the set of compatibility rules to the first manufacturing data and the second manufacturing data, applying a set of pairing rules to the pairing data, determining one or more actions from the application of the set of pairing rules to the pairing data, and performing the one or more actions.

Abstract: A smart plan portal that is used in conjunction with a computer aided design (CAD) software application module. The smart plan portal provides a library of predesigned elements that are presented for selection and placement for building design. Each placed element automatically integrates with adjacent elements and the overall building design. Based on the building design using the library of elements, structural components and equipment components are generated. Each component is associated with a digital identifier that is used to identify a number of attributes for the associated component.

Abstract: An epidemic forecasting model for policies of prevention, control and isolation is disclosed, including: establishing a SUEIR model; dividing, by the SUEIR model, population according to an ability of infection and a way of infection; classifying patients further into three states: unconfirmed, confirmed but not in isolation, and confirmed and in isolation; calculating a number of people in each state in the future by using the SUEIR model; and accumulating the number of people in the confirmed state to realize the forecasting of the number of confirmed cases. The disclosure not only accurately forecasts the number of confirmed cases, but also explains various policies of prevention and control.

Abstract: An exemplary system, method, and computer-accessible medium can include, for example, receiving an original dataset(s), receiving a synthetic dataset(s), training a model(s) using the original dataset(s) and the synthetic dataset(s), and evaluating the synthetic dataset(s) based on the training of the model(s). The model(s) can include a first model and a second model, and the first model can be trained using the original dataset(s) and the second model can be trained using the synthetic dataset(s). The synthetic dataset(s) can be evaluated by comparing first results from the training of the first model to second results from the training of the second model.