Abstract: A virtual metrology method using a convolutional neural network (CNN) is provided. In this method, a dynamic time warping (DTW) algorithm is used to delete unsimilar sets of process data, and adjust the sets of process data to be of the same length, thereby enabling the CNN to be used for virtual metrology. A virtual metrology model of the embodiments of the present invention includes several CNN models and a conjecture model, in which plural inputs of the CNN model are sets of time sequence data of respective parameters, and plural outputs of the CNN models are inputs to the conjecture model.

Abstract: A method, apparatus, system, and computer program product provide the ability to dynamically generate a digital building information model. Design data for various designs is received. The design data for each design is encoded into a graph. A knowledge base is maintained and defines a model of design intent while processing and storing the graph. First user input of a goal or constraint is received. The knowledge base generates solutions based on the input. Second user input based on the solutions is received and used to iteratively train the knowledge base. The solutions are then output.

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided repair of physical structures include: generating a two dimensional difference image from a first three dimensional model of at least one actual three dimensional surface of a manufactured object, and a second three dimensional model of at least one source three dimensional surface used as input to a manufacturing process that generated the manufactured object; obtaining from an image-to-image translation based machine learning algorithm, trained using pairs of input images representing deformed and deformed plus surface defected added versions of a nominal three dimensional surface, a translated version of the two dimensional image; generating from the translated version of the two dimensional image a third three dimensional model of at least one morphed three dimensional surface corresponding to the at least one source three dimensional surface.

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided repair of physical structures include: generating a two dimensional difference image from a first three dimensional model of at least one actual three dimensional surface of a manufactured object, and a second three dimensional model of at least one source three dimensional surface used as input to a manufacturing process that generated the manufactured object; obtaining from an image-to-image translation based machine learning algorithm, trained using pairs of input images representing deformed and deformed plus surface defected added versions of a nominal three dimensional surface, a translated version of the two dimensional image; generating from the translated version of the two dimensional image a third three dimensional model of at least one morphed three dimensional surface corresponding to the at least one source three dimensional surface.

Abstract: A method, apparatus, system, and computer program product provide the ability to dynamically generate a digital building information model. Design data for various designs is received. The design data for each design is encoded into a graph. A knowledge base is maintained and defines a model of design intent while processing and storing the graph. First user input of a goal or constraint is received. The knowledge base generates solutions base don the input. Second user input based on the solutions is received and used to iteratively train the knowledge base. The solutions are then output.

Abstract: A method, apparatus, system, and computer program product provide the ability to dynamically generate a digital building information model. Design data for various designs is received. The design data for each design is encoded into a graph. A knowledge base (consisting of a collection of the design data, actions taken on the design data, and interpretations of the received design data) is maintained. The knowledge base processes and stores the graph, and indexes and provides access to design knowledge. The knowledge base is iteratively trained based on the graph and updates to the graph, and translates user input for new design projects into actionable design models, documentation, and analytical data. User input (e.g., a sketch or bubble diagram) is received. As the user input is received, a layout floorplan is generated and displayed in real-time (based on the user input and the knowledge base).

Abstract: A method and system provide the ability to optimize a structural engineering design. A dataset is synthesized by acquiring a structural skeleton design of an entire building. The skeleton defines locations and connectivities of bars that represent columns or beams. The skeleton design is represented as a structural graph with each bar represented as a graph node and edges connecting graph nodes. Structural simulation results are computed for the synthetic dataset based on the structural graph, various loads, and a structural analysis. A simulation model and a size optimization model are trained based on the structural simulation results with the size optimization model determining cross-section sizes for the bars to satisfy a building mass objective, building constraints, and output from the simulation model. The structural engineering design is output from the size optimization model.

Abstract: The present invention discloses a method and an apparatus for spray painting an annular object. The annular object to be spray painted is placed and positioned on a loading tray disposed on a machine station and transported by a transporting mechanism along a spray painting path of the machine station. A self-rotation mechanism is turned on to automatically rotate the loading tray and the annular object to be spray painted. An air gun and a spray gun are turned on to remove dust on a disk surface of the annular object and spray paint the disk surface of the annular object to form a protection layer thereon.

Abstract: A method and system provide the ability to parametrize a sketch. A sketch is acquired and includes raster lines that define a raster image based floor-plan sketch. Vectorized geometry is generated from the sketch dynamically in real time based on raster lines. A parametric model that is optimizable is generated from the vectorized geometry. The parametric model is generated dynamically in real time, and the raster lines are represented in the parametric model as three-dimensional walls. The parametric model is displayed and edited. Upon editing a parameter of a three-dimensional wall, other parameters in the parametric model are autonomously updated.

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided repair of physical structures include: generating a two dimensional difference image from a first three dimensional model of at least one actual three dimensional surface of a manufactured object, and a second three dimensional model of at least one source three dimensional surface used as input to a manufacturing process that generated the manufactured object; obtaining from an image-to-image translation based machine learning algorithm, trained using pairs of input images representing deformed and deformed plus surface defected added versions of a nominal three dimensional surface, a translated version of the two dimensional image; generating from the translated version of the two dimensional image a third three dimensional model of at least one morphed three dimensional surface corresponding to the at least one source three dimensional surface.

Abstract: A method and system provide the ability to parametrize a sketch. A sketch is acquired and includes raster lines that define a raster image based floor-plan sketch. Vectorized geometry is generated from the sketch dynamically in real time based on raster lines. A parametric model that is optimizable is generated from the vectorized geometry. The parametric model is generated dynamically in real time, and the raster lines are represented in the parametric model as three-dimensional walls. The parametric model is displayed and edited. Upon editing a parameter of a three-dimensional wall, other parameters in the parametric model are autonomously updated.

Abstract: A computer produces a digital model that efficiently describes a dense array of many micro-pillars. The digital model achieves this efficiency by describing an entire micro-pillar with only a few parameters. For example, an entire micro-pillar may be described by two of more of the following parameters: height, base thickness, profile and tilt. The computer outputs instructions to fabricate the micro-pillar array, in accordance with the digital model. A 3D printer fabricates the micro-pillar array, based on the instructions. Applying vibration to a directional array of micro-pillars may cause the array of micro-pillars to actuate motion of a passive object that is touching the array. Also, a sensor may measure sounds caused by swipes against a micro-pillar array, and output signals indicative of the measurements. A computer performs a machine learning algorithm that takes the measurements as an input, and classifies the swipes.

Abstract: An edible structure may comprise a gelatin film and fiber strips. The gelatin film may have a higher density of gelatin in a first layer of the film than in a second layer of the film. The fiber strips may be attached to the first layer, and may have an initial orientation, thickness and density. The structure may be configured to undergo a shape transformation when the apparatus hydrates. During the transformation, the film may transform from a flat film into a curved, 3D film. Which specific shape results from the transformation may depend, at least in part, on the initial orientation, thickness and density of the fiber strips. The film may include flavorings or other additives. In some cases, the transformation may change a texture of the structure. In some cases, the transformation may be caused, at least in part, by a change in temperature.

Abstract: A method, apparatus, system, and computer program product provide the ability to dynamically generate a digital building information model. Design data for various designs is received. The design data for each design is encoded into a graph. A knowledge base (consisting of a collection of the design data, actions taken on the design data, and interpretations of the received design data) is maintained. The knowledge base processes and stores the graph, and indexes and provides access to design knowledge. The knowledge base is iteratively trained based on the graph and updates to the graph, and translates user input for new design projects into actionable design models, documentation, and analytical data. User input (e.g., a sketch or bubble diagram) is received. As the user input is received, a layout floorplan is generated and displayed in real-time (based on the user input and the knowledge base).

Abstract: A composite film includes a substrate that is not responsive to relative humidity, and also one or more layers of hygromorphic material. The hygromorphic material expands in response to an increase in relative humidity and contracts in response to a decrease in relative humidity. In some cases, the composite film is bi-layer or tri-layer. The composite films are fabricated such that they undergo a desired bending pattern in response to changes in relative humidity. In some cases, these bending patterns are combinations of two bending primitives: a smooth curve and a sharply angled curve. These two primitives are combined to create a variety of shape transformations including 1D linear transformation, 2D surface expansion and contraction, 2.5D texture change and 3D folding. Any type of hygromorphic material may be employed, including living gram positive and gram negative bacterial cells, yeast cells, plant cells, mammalian cells, cell debris, or hydrogel.

Abstract: An edible structure may comprise a gelatin film and fiber strips. The gelatin film may have a higher density of gelatin in a first layer of the film than in a second layer of the film. The fiber strips may be attached to the first layer, and may have an initial orientation, thickness and density. The structure may be configured to undergo a shape transformation when the apparatus hydrates. During the transformation, the film may transform from a flat film into a curved, 3D film. Which specific shape results from the transformation may depend, at least in part, on the initial orientation, thickness and density of the fiber strips. The film may include flavorings or other additives. In some cases, the transformation may change a texture of the structure. In some cases, the transformation may be caused, at least in part, by a change in temperature.

Abstract: A composite film includes a substrate that is not responsive to relative humidity, and also one or more layers of hygromorphic material. The hygromorphic material expands in response to an increase in relative humidity and contracts in response to a decrease in relative humidity. In some cases, the composite film is bi-layer or tri-layer. The composite films are fabricated such that they undergo a desired bending pattern in response to changes in relative humidity. In some cases, these bending patterns are combinations of two bending primitives: a smooth curve and a sharply angled curve. These two primitives are combined to create a variety of shape transformations including 1D linear transformation, 2D surface expansion and contraction, 2.5D texture change and 3D folding. Any type of hygromorphic material may be employed, including living gram positive and gram negative bacterial cells, yeast cells, plant cells, mammalian cells, cell debris, or hydrogel.

Abstract: A computer produces a digital model that efficiently describes a dense array of many micro-pillars. The digital model achieves this efficiency by describing an entire micro-pillar with only a few parameters. For example, an entire micro-pillar may be described by two of more of the following parameters: height, base thickness, profile and tilt. The computer outputs instructions to fabricate the micro-pillar array, in accordance with the digital model. A 3D printer fabricates the micro-pillar array, based on the instructions. Applying vibration to a directional array of micro-pillars may cause the array of micro-pillars to actuate motion of a passive object that is touching the array. Also, a sensor may measure sounds caused by swipes against a micro-pillar array, and output signals indicative of the measurements. A computer performs a machine learning algorithm that takes the measurements as an input, and classifies the swipes.

Abstract: A composite film includes a substrate that is not responsive to relative humidity, and also one or more layers of hygromorphic material. The hygromorphic material expands in response to an increase in relative humidity and contracts in response to a decrease in relative humidity. In some cases, the composite film is bi-layer or tri-layer. The composite films are fabricated such that they undergo a desired bending pattern in response to changes in relative humidity. In some cases, these bending patterns are combinations of two bending primitives: a smooth curve and a sharply angled curve. These two primitives are combined to create a variety of shape transformations including 1D linear transformation, 2D surface expansion and contraction, 2.5D texture change and 3D folding. Any type of hygromorphic material may be employed, including living gram positive and gram negative bacterial cells, yeast cells, plant cells, mammalian cells, cell debris, or hydrogel.