Abstract: A method for creating kinematic pair objects. Kinematic pairs are included in a first facility. The first facility is equipped with control software. The method includes obtaining a first file that includes names of N kinematic pairs, calling the control software to read the names of the N kinematic pairs in the first file, and calling the control software to create N kinematic pair objects. N is an integer greater than or equal to 1. The N kinematic pair objects are determined based on the names of the N kinematic pairs read by the control software. The names of the N kinematic pairs are in one-to-one correspondence to the N kinematic pair objects.

Abstract: A computer-implemented method of simulating operation of an electric drive unit to predict one or more performance parameters of the electric drive unit is provided. The electric drive unit includes at least an electric motor. The method includes obtaining parameters defining physical properties of the electric motor, obtaining parameters defining drive currents for driving the electric motor, processing the obtained parameters using a machine learning module trained a priori to predict a spatially varying electromagnetic and/or mechanical and/or thermal profile within the electric motor during operation, and providing as output a predicted profile for the electric motor, and using the predicted profile to compute the one or more performance parameters of the electric drive unit.

Abstract: In the context of a computer-aided design platform providing a user-specific set of acquirable objects, a CAD design and object acquisition computing system is configured for accessing a set of object properties for a particular object; analyzing object selection data indicating a set of currently placed within the CAD environment, analyzing related design data comprising a set of design data for a set of other virtual environments, wherein at least a portion of the other virtual environments in the set of other virtual environments include the particular object; accessing an object design ruleset defining one or more selection limitations; processing the set of object properties, the object selection data, the related design data, and the object design ruleset using at least one of a rules-based model or a machine-learning model to generate an object recommendation; and modifying a graphical user interface to include an indication of the object recommendation.

Abstract: A system may receive enterprise information associated with a client enterprise. The system may select, using an industry analysis model, a set of queries associated with obtaining status information that is associated with a technology profile of the client enterprise. The system may generate client data that is associated with the enterprise information and the status information. The system may convert, using a matrix factorization technique, the client data associated with the client enterprise to a client matrix. The system may convert, using the matrix factorization technique, reference data associated with reference enterprises to a reference matrix. The system may determine, based on a comparison of the client matrix and the reference matrix, a set of scores associated with technology metrics of the technology profile. The system may perform an action associated with the client enterprise based on the set of scores.

Abstract: Systems and methods that facilitate quantum state preparation of a probability distribution and constructing a quantum operator for a stochastic process based on quantum state to facilitate quantum amplitude estimation. A loading component uses a context-aware distribution loading scheme to load arbitrary random distributions to facilitate preparing a quantum state of a probability distribution based on a structure of a quantum amplitude estimation algorithm, and an operating component constructs a quantum operator for arbitrary computable functions or stochastic processes based on the quantum state to perform quantum amplitude estimation.

Abstract: Disclosed are techniques for managing retractable privacy partitions to dynamically subdivide spaces in buildings into sub-spaces (or rooms). Retractable privacy partitions are distributed throughout a given space in a building such that the retractable privacy partitions can completely retract into a surface of the given space (for example, the floor or ceiling) such that when they are fully extended, the retractable privacy partitions create separate rooms within the given space, and when fully retracted, the retractable privacy partitions do not significantly impede movement or sightlines throughout the given space. Further disclosed are techniques to manage the retractable privacy partitions based on properties indicative of demand for rooms of various sizes within the given space. Some embodiments further disclose retractable privacy partitions including switchable glass to provide additional flexibility through dynamic opacity along with dynamic extension/retraction of the partitions.

Abstract: In various embodiments, a scanner optimizer system may generate a virtual model of a predicted flitch based on a 3D model of a log/cant and a cut solution for the log/cant. The scanner optimizer system may compare a virtual model of an actual flitch to virtual models of predicted flitches by comparing data points at a fixed elevation relative to one or both faces of the models. Based on the comparisons, the scanner optimizer system may identify the source log from which the actual flitch was cut. In addition, the scanner optimizer system may identify the saw used to cut the actual flitch, and/or other relevant information, and use the additional information to monitor and adjust the saws and other equipment. Embodiments of corresponding apparatuses and methods are also described.

Abstract: A method for analyzing fuselage profile based on measurement data of an aircraft, including: acquiring point-cloud data of an aircraft via a laser scanner; selecting point-cloud data of a fuselage component from the point-cloud data of the aircraft; based on a weighted locally optimal projection (WLOP) operator and Ll median curve-skeleton concept of point cloud, extracting a medial axis from the point-cloud data of the fuselage component; uniformly sampling the medial axis into a plurality of skeleton points; extracting a discrete point set of a cross-section contour of the fuselage component; performing circle fitting on the discrete point set to obtain a fitted circle and parameters thereof; calculating a deformation displacement measurement indicator ? of the cross-section of the fuselage component to evaluate cross-section contour of the fuselage.

Abstract: The present invention is a computer-implemented method for constructing the foundation of a building, comprising; receiving nodal data associated with the structure design; propagate, member data of the structural frame; analyzing, the member data of the structural frame and the nodal data; applying, a series of loads to the structural frame; generating, a deflection model of the structural frame; and determining, by one of more processors, if any of the members failed and determining the strengthening requirements for the failed members.

Abstract: Aspects of the disclosure relate to space model generation. A computing platform may receive space program data identifying parameters of a physical space. The computing platform may load a geometry model defining a plurality of design rules. The computing platform may generate space models for the physical space based on the space program data and the geometry model. Based on the geometry model, the computing platform may produce a score for each space model. Based on the scores, the computing platform may produce a ranked list of space models. The computing platform may generate user interface data comprising the ranked list of space models. The computing platform may send the user interface data comprising the ranked list of space models, which may cause a user computing device to display a user interface including a portion of the ranked list of space models.

Abstract: Systems and techniques for auditing computer-aided design documents are described. A described technique includes receiving a computer-aided design document for import to a space management program; determining whether the computer-aided design document violates a rule set, wherein the rule set is configured to detect issues that inhibit importation of data from the computer-aided design document to the space management program; selectively modifying the computer-aided design document by resolving a violation of the rule set; and providing the modified computer-aided design document to the space management program.

Abstract: A component library having a plurality of design components is received. Designs are predicted using the plurality of components using a machine learning model. The predicted designs comprise a subset of all possible designs using the plurality of components. A set of design criteria is received. At least one design solution is generated based on the set of design criteria and the predicted designs.

Abstract: Systems and methods for customizing a building floor plan are provided. In one embodiment, a method for customizing a building floor plan comprises: at an electronic device with a display: receiving a request to modify one or more building components of a base plan associated with a building; in response to receiving the request to modify the one or more building components, determining whether the request to modify the one or more building components satisfy one or more compliance requirements; in accordance with a determination that the request to modify the one or more building components satisfy one or more compliance requirements: displaying, on the display, an updated base plan incorporating the request to modify the one or more building components; and in accordance with a determination that the request to modify the one or more building components is non-compliant, not updating of the base plan in accordance with the requested modification.

Abstract: A reliability-based topology optimization design method for a part structure considering bounded hybrid uncertainties, includes the following steps: considering the uncertainties in the manufacture and service of the part structure, describing an external load with insufficient samples and a material property with sufficient samples as an interval variable and a bounded probabilistic variable respectively; discretizing a design domain of the part structure, setting the physical and geometric constraints, and establishing a reliability-based topology optimization design model; solving by a moving asymptote algorithm: decoupling the probabilistic and interval uncertainties, and determining the worst working condition by using gradients of constraint performance functions; defining a performance fluctuation under the worst working condition and calculating reliability of constraint performance; and finally, calculating the gradients of objective and constraint functions with respect to the design variables for i

Abstract: A machine learning device includes: a training data acquisition unit configured to acquire multiple pieces of training data each including insulation resistances of a servomotor at the beginning and the end of a certain period and time-series data indicating conditions of the servomotor in the certain period; and a learning model generating unit configured to perform a supervised learning using the training data to thereby generate a learning model.

Abstract: Systems and techniques for rendering multi-layer computer-aided design related documents are described. A described technique includes accessing layers associated with a floorplan, the layers including a visual layer that depicts the floorplan and an interactive layer that enables user interaction with the visual layer. The layers can have different sizes. The technique includes determining outer boundaries for a selected layer. The technique includes generating a boundary layer based on a polygon defined by the outer boundaries that surrounds layer content. The technique includes scaling, based on the boundary layer, one or more of the layers to have a size that is within a threshold distance of the boundary layer's size, and after scaling, aligning the visual layer and the interactive layer in a merged graphics layer so that the interactive layer can detect user interaction with a corresponding portion of the visual layer.

Abstract: System and method that allow utilize machine learning algorithms to move a micro-object to a desired position are described. A sensor such as a high speed camera or capacitive sensing, tracks the locations of the objects. A dynamic potential energy landscape for manipulating objects is generated by controlling each of the electrodes in an array of electrodes. One or more computing devices are used to: estimate an initial position of a micro-object using the sensor; generate a continuous representation of a dynamic model for movement of the micro-object due to electrode potentials generated by at least some of the electrodes and use automatic differentiation and Gauss quadrature rules on the dynamic model to derive optimum potentials to be generated by the electrodes to move the micro-object to the desired position; and map the calculated optimized electrode potentials to the array to activate the electrodes.

Abstract: In particular embodiments, method, apparatus and system for receiving digital representations of the initial parameters of a dentition; simulating a first orthodontic treatment process on the digital representations of the initial parameters, displaying a set of output results from the simulation of the first orthodontic treatment process, simulating a second orthodontic treatment process on the output results from the simulation of the first orthodontic treatment process, and displaying a set of output results from the simulation of the second orthodontic treatment process are provided.

Abstract: An acoustic model determination approach for a real-time locating system is disclosed. The system includes one or more transmitting devices and one or more mobile devices. The acoustic model may be determined by deriving an acoustic representation of sub-structures within the building, and then forming the acoustic model based on the acoustic representation and the location and orientation of the static acoustic transmitting device. In another embodiment, an acoustic signal is transmitted from a static acoustic transmitting device, with the reflected signals received by the same static acoustic transmitting device in a receiving mode. Based on these received acoustic signals, the acoustic model is formed based on the reflected signals and the location and orientation of the static acoustic transmitting device.

Abstract: A method includes accessing a three-dimensional architectural file of a building. The method further includes extracting architectural data from the three-dimensional architectural file and rendering, from the architectural data, a two-dimensional construction floorplan. Additionally, the method includes filtering the architectural data to generate a set of filtered data and storing the set of filtered data in high-availability storage. Further, the method includes overlaying a set of shapes corresponding to a set of assemblies on the two-dimensional drawing. Furthermore, the method includes assigning a set of measurements identified in the set of filtered data to the set of assemblies, where assigning a measurement to an assembly includes modifying a color of a shape corresponding to the assembly to identify the assembly being assigned the measurement. The method also includes compiling values associated with the measurements of the set of assemblies to generate a bid value.