Abstract: System and method for prediction using a machine learning model. The system includes a coordinator, an active computing device and a passive computing device in communication with each other. The active computing device has a processor and a storage device storing computer executable code. The computer executable code is configured to: obtain parameters of the machine learning model; retrieve an instance from the local data; sample a random direction of the instance; compute a dot product of the random direction and the instance, and calculate a random feature; compute predicted values of the instance in the active and passive computing devices and summarize them to obtain a final predicted value; determine a model coefficient using the random feature, the final predicted value, and a target value of the instance; update the machine learning model using the model coefficient; and predict a value for a new instance.

Abstract: An example method of producing an electric machine is described herein. The method can include providing the electric machine. The electric machine can include a rotor and a stator, where the stator includes a magnetic core and a stator winding. Additionally, the magnetic core can include a plurality of teeth defining a plurality of slots between adjacent teeth. The stator winding can also include a first portion arranged inside a slot and a second portion arranged outside the slot. The method can further include optimizing, using a computing device, a geometry of the first portion of the stator winding, where the first portion of the stator winding in the provided electric machine has the optimized geometry.

Abstract: The present invention discloses an optimization method for a screen surface dynamic load of a vibrating screen. The method includes the following steps: step 1. selecting design variables, and establishing an experimental matrix; step 2. performing a response curved surface experiment; step 3. establishing two double-objective optimization models and solving the same to obtain two groups of Pareto solution sets, wherein the solution sets respectively represent screening efficiency optimization paths of the vibrating screen under the conditions of a high screen surface dynamic load and a low screen surface dynamic load; and step 4. calculating an optimization space for a screen surface dynamic load under a high screening efficiency. According to the method of the present invention, the screen surface dynamic load can be directly reduced, and the service life of the screen surface and the whole vibrating screen is prolonged.

Abstract: Systems, computer-implemented methods, and computer program products that can facilitate quantum circuit topology selection based on frequency collisions between qubits, are described. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a simulation component that simulates operation of qubits in a subgraph topology of a graph representing a topology of a quantum circuit to determine a quantity of frequency collisions between the qubits. The computer executable components can further comprise a selection component that selects a quantum circuit topology based on the quantity of frequency collisions between the qubits.

Abstract: The disclosure notably relates to a computer-implemented method for designing a three-dimensional (3D) model. The method includes obtaining a first 3D model, the first 3D model being defined by: (i) one delegated data object comprising input parameters specific to a type of the delegated data object and (ii) an output topology, and being associated with a sequence of geometric design operations.

Abstract: In one embodiment, a design application is provided that utilizes layered analytical modeling in a design and analysis workflow. An analytical model may be described in a model file by a base geometry and a plurality of analysis parameters, including modification geometries that define changes that can be made to the base geometry, loading definitions that define how loads are evaluated, and appurtenances groups and configurations that define the nature and arrangement of appurtenances. A user may select analysis parameters which together with the base geometry define a scenario. A plurality of scenarios may be maintained within the same model file. When a particular scenario is to be visualized and analyzed, the analysis parameters of a scenario are layered on to (i.e. merged with) the base geometry.

Abstract: A method of planning a platform lift. The platform lift includes a rail, platform, chair, and a drive unit attached to the platform to drive the platform along the rail. The method includes acquiring 3D-data of a stair on which the platform lift is to be installed utilizing an augmented reality device. Calculating a travel path of the rail is based on acquired 3D-data and predetermined clearance information. Visualizing part or all of the platform lift is based on the calculated path of travel via the augmented reality device. Acquiring the 3D-data includes observing the stair with the augmented reality device; marking several locations and confirming the locations via a user input; extracting surface information via a computer based analysis of the markings and optical information taken by the augmented reality device. Based on the optical information and predetermined clearance information the path of travel is calculated.

Abstract: Implementations for receiving, by the design assistant, an initial set of requirements, each requirement in the initial set of requirements being manually provided by a user, providing, by the design assistant and using a knowledge graph, a first set of questions based on the initial set of requirements and content determined from at least one design document in a set of design documents, filtering, by the design assistant, one or more questions from the first set of questions to provide a second set of questions, providing, by the design assistant, at least a portion of the second set of questions as output to the user to elicit one or more responses from the user, and editing, by the design assistant, the initial set of requirements based on the one or more responses to provide a set of requirements, the set of requirements for the to-be-designed product.

Abstract: A self-contained computerized system includes a processor and a memory. The memory stores instructions for causing the self-contained computerized system to perform the process of morphing a finite element mesh of a legacy design to the finite element mesh of a component design and applying measurement variations from the legacy design to the finite element mesh of the component design.

Abstract: A volumetric enclosure or enclosures and/or a cellular structure pole foundation is provided. The volumetric enclosure/s or cellular structure pole foundation may employ several embodiments: (1) a single or a plurality of volumetric enclosures at the vertical center of the foundation below the foundation's pole cavity; (2) a single or a plurality of volumetric enclosures at the vertical center of the foundation below the foundation's pole cavity and a cellular structure within the foundation walls and base; (3) a cellular structure throughout the entire body of the foundation; (4) a cellular structure within the foundation walls; (5) the above embodiments with fill material consisting of gas or fluid or solids retained inside the foundation walls; and (6) the above embodiments with solid fill material that can reach the foundation core through the pole cavity.

Abstract: A method for training a predictive reservoir simulation in which high-confidence reservoir sample data is used to identify misallocated historical production data used in the simulation. A neural network algorithm is trained with high-confidence reservoir historical production data. High-confidence reservoir sample data is obtained by at least one sensor at a reservoir location over a time interval, after which the reservoir historical production data is parametrically varied over the time interval to determine a time-indexed discrepancy between the reservoir historical production data and the high-confidence reservoir sample data over the time interval. The time-indexed discrepancy and a defined threshold discrepancy are then used as inputs to a machine learning process to further train the neural network algorithm to identify reservoir historical production data whose discrepancy exceeds the threshold discrepancy and thereby constitutes misallocated historical production data.

Abstract: An automated manufacturing system and method is provided. The system includes a software system and a production system. The software system includes a design module, an engineering module, and a manufacturing module for the design, engineering, and subsequent production of a prefabricated building product. The production system includes a matrix of cells and a plurality of robotic production units configurable with a plurality of production tools. The matrix includes a number of columns and a number of rows, each column representing a product to be worked on and each row representing a type of work to be performed on each product. The system processes a building model and configures each cell to perform specific work with one or more robotic production units and one or more production tools. A prefabricated building product is built in stages as it moves from cell to cell.

Abstract: Techniques for quantum data post-processing are provided. In one example, a system includes a quantum programming component and a post-processing component. The quantum programming component receives quantum output data that includes a set of quantum results for a quantum circuit in response to simulation of the quantum circuit. The post-processing component adjusts the quantum output data associated with the quantum circuit based on client system data indicative of information for a client system that consumes the quantum output data.

Abstract: A method of operating a reservoir simulator can include performing a time step of a reservoir simulation using a spatial reservoir model that represents a subterranean environment that includes a reservoir to generate simulation results for a first time where the simulation results include a front defined by at least in part by a gradient at a position between portions of the spatial reservoir model; predicting a position of the front for a subsequent time step for a corresponding second time using a trained machine model; discretizing the spatial reservoir model locally at the predicted position of the front to generate a locally discretized version of the spatial reservoir model; and performing a time step of the reservoir simulation using the locally discretized version of the spatial reservoir model to generate simulation results for the second time.

Abstract: The invention is directed to a method of digitally modeling in two, three or more dimensions an infrastructure (2.1, 2.2, 2.3, 2.4), comprising using digital two, three, four, five or more dimensional objects; and attributing at least one flexibility attribute (8.2, 8.3) to at least one of the objects (4, 6, 10). Several digital two, three or more dimensions infrastructure models (2.1, 2.2, 2.3, 2.4) are merged and managed by automatically detecting (14) potential conflict(s) between objects (6, 10) of the models (2.1, 2.2, 2.3, 2.4) and by automatically searching (16) for at least one possible solution to each of the at least one conflict, based on the flexibility attribute(s) (8.2, 8.3) of the objects (6, 10) related to the conflict.

Abstract: The present invention relates to a Tetris house designing system, and the technical problem to solve is to facilitate house design by laymen and enable a simulation for a finally decided house structure. For example, disclosed is a Tetris house designing system comprising: a unit interior space providing part for providing respective unit interior spaces of a house by dividing the unit interior spaces into three-dimensional blocks reflecting the actual areas of certain sizes; a unit interior space selection part for selecting the type and number of the unit interior spaces; a house structure generation part for generating house structure data by combining three-dimensional blocks selected by the house unit interior space selection part; and a virtual reality data providing part for generating and providing virtual reality data on the basis of the house structure data.

Abstract: Systems and methods for creating electronic indoor maps from computer-assisted-design (CAD) files are disclosed. The methods involve receiving a set of CAD files relating to a facility, classifying each CAD file of the set as a site plan or a floor plan, defining one or more layers of at least one electronic map for the facility based on the set, generating an electronic map for each CAD file of the set. The electronic map includes one or more layers and each layer include at least one object. The method also involves aligning objects in the electronic map for the facility, based on the layer of the object; assigning text data in each CAD file of the set to an object in the electronic map file of that CAD file; and storing the at least one electronic map for the facility on at least one storage component.

Abstract: Disclosed embodiments include the production of construction plans upon planar surfaces such as studless walls near studless walls or traditional framing. Disclosed embodiments include specialized databases, cutting systems and printing systems useful for implementation of various plans upon planar surfaces sometimes used with hollow wall systems, sometimes constructed with bamboo or other fast growing sources of structural fiber, with the types of subject printing and cutting sometimes including architectural plans, structural plans, electrical plans, plumbing plans, mechanical plans, insulation plans, media plans, security plans and construction plans and details including those derived directly from various plans.

Abstract: An improved mechanism for evaluation of degradation criticality is described. Corresponding apparatuses, systems, methods, and computer readable media are provided. The evaluation of corrosion criticality is utilized to estimate a failure pressure of a pipeline that is subject to structural degradation (e.g., metal loss corrosion). The evaluation, in some embodiments, is utilized with a specific tool configured for controlling or otherwise regulate pipeline operations responsive to the estimated failure pressure. The evaluation is a specific technical process whereby multiple failure paths through anomalies (structural defects arising from degradation features) are utilized in concert to determine an estimated failure pressure. The failure pressure, in some embodiments, is used to control actuation of one or more valve regulator features or to guide excavation.

Abstract: Methods, devices, and systems for generating an image for a building management system are described herein. One device includes using a computing device to import floor plan objects from computer-aided design (CAD) drawings of a building and applying a design language associated with a building management system to the floor plan objects imported from the CAD drawings. Once the design language has been applied to the floor plan objects, an image of the building is generated for use in the building management system.