Abstract: A method performed by one or more devices is disclosed in which network topology information indicative of a function of a power network is gathered at a predetermined nominal frequency. The nominal frequency is influenced by a power input, a power output, a rotational speed, a torque, a modulation angle, and/or a phase angle of components included in the power network. Harmonic information indicative of one or more harmonic levels is determined from the components of the power network or from one or more network nodes. The harmonic information is determined based on the network topology information. Evaluation information indicative of an occurrence of one or more resonances and/or harmonic level increases in the power network is determined. The evaluation information is determined based on the determined harmonic information. The determined evaluation information is output.

Abstract: A printer pressing assembly for forming material layers is provided. The printer pressing assembly includes a support assembly having a support surface, a driver and a press stop. The driver is able to change an elevation of the support surface relative to an elevation of the press stop. A nozzle is capable of dispensing a material onto the support surface. Further, a press is positionable opposite to the support surface and capable of moving relative to the support. Additionally, the press stop is capable of being elevated above the support surface so as to engage an abutment surface of the press to set a pre-determined distance between the contact surface of the press and the support surface.

Abstract: A warmth calculation apparatus capable of indicating warmth during a transition is provided. This warmth calculation apparatus includes: a calculator that, on the basis of a human body heat model simulating a human body, calculates a basic index indicating the warm sensation of parts of the human body under inputted environmental conditions; and a corrector that corrects the basic index utilizing, as a correction element, a heat transfer amount caused by blood flow of the human body heat model.

Abstract: The framework herein may be called outcome-based ventilation (OBV) for evaluating ventilation rates (VR) in commercial buildings and using a system to make informed control decisions based on the resultant indoor air quality (IAQ) and energy consumption outcomes. A ventilation control system includes a ventilation system that provides air circulation to a building and a controller that controls the ventilation system based on input that include a current ventilation rate. The system also includes an optimization system that drives the controller based on factors like building and pollution transport models, scientific estimates of ventilation impacts on productivity, sick leave, and health, user preference parameters, and weather, pollution, and price forecasts.

Abstract: In an example implementation, a method of compensating for dimensional variation in 3D printing includes receiving a 3D object model that represents a 3D part to be printed. The method also includes receiving a build material type and a position for printing the 3D part within a build volume. The method includes determining from the position, target subvolumes of the build volume into which the 3D part is to be printed, retrieving a dimensional compensation factor associated with each target subvolume, and then applying each dimensional compensation factor to the 3D object model to scale the 3D part according to the position of the 3D part within the build volume.

Abstract: Centralized controllers for a photovoltaic-enabled distribution grid are described herein. Photovoltaic cells may generate electricity that may be supplied to the distribution grid, which may experience unexpected abnormal power loads. The controllers utilize photovoltaic inverters connected to the photovoltaic cells to optimize the performance of the grid by absorbing or injecting reactive power. These controllers are particularly efficient in handling unexpected abnormal power loads.

Abstract: In one example, a representation of a volume of a part to be printed by an additive manufacturing system is generated, where the representation depicts a plurality of voxels. A plurality of slices of the representation are generated. Each slice relates to a plurality of voxels within a first plane. A first process is performed in respect of a slice of the plurality of slices, wherein in the first process at least one voxel that has a predetermined colour and is located on a predetermined surface of the part is identified and a data file is updated to include data representative of the identified at least one voxel. The first process is repeated in respect of another slice. A three-dimensional preview of the part to be printed is generated based on the data file.

Abstract: High intensity multi-directional FDM 3D printing method for stereo vision monitoring involves intelligent control and computer vision technology. Specifically, it involves multi-directional 3D printing hardware platform construction, stereo vision detection, laser heating to enhance the connection strength between various parts of the model, so as to reduce the use of external support structure as much as possible on the premise of ensuring the printing accuracy, and make the various parts of the model can be well connected to enhance the integrity of the model.

Abstract: A foot presence sensor system for an active article of footwear can include a sensor housing configured to be disposed at or in an insole of the article, and a controller circuit, disposed within the sensor housing, configured to trigger one or more automated functions of the footwear based on a foot presence indication. In an example, the sensor system includes a capacitive sensor, and the sensor is configured to sense changes in a foot proximity to the sensor in footwear. A baseline or reference condition for the capacitive sensor can be updated to accommodate different use conditions.

Abstract: In one embodiment, a first electrical network includes one or more first electricity producing elements, and a first conductive path electrically couples at least some of those elements to an end user's electrical wiring, which is coupled by a second conductive path to one or more second electricity producing elements of a public utility electrical network. A switch coupled between the first conductive path and the end user's electrical wiring and between the second conductive path and the end user's electrical wiring electrically isolates the first electrical network from the public utility electrical network. Based on a determination of whether an amount of electricity used by the end user exceeds an amount of electricity the first electrical network is capable of providing to the end user, the switch either draws electricity only from the first electrical network or from both the first electrical network and the public utility electrical network.

Abstract: A method and apparatus for determining differences between an automated installation and a digital twin of the automated installation and to an automated installation that includes the apparatus, wherein a sensor unit is fastened to a process material and passes through an automated installation together with the process material where, during this process, the sensor unit continuously records at least one measurement variable, a temporal profile of the recorded measurement variable is compared with a temporal profile of a corresponding simulated measurement variable and if there is a difference between the temporal profiles, then the location in the automated installation at which the difference is present is identified.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining controls to be applied to a population of devices. In one aspect, a method comprises: determining a plurality of simulated load curves, wherein each simulated load curve simulates load generated by a respective device from a population of devices based on application of a respective control from a set of controls; adjusting values of a plurality of weights during a plurality of optimization iterations using an optimization technique to optimize a loss function, wherein each weight corresponds to a respective simulated load curve, wherein the loss function measures: a sparsity of the values of the plurality of weights, and an error between: (i) an aggregate load curve that is defined by combining the simulated load curves in accordance with the values of the plurality of weights, and (ii) a target load curve.

Abstract: A computer-implemented method for providing explainable diagnostics for an electromechanical device. The method can include receiving data from an electromechanical device regarding a potential issue in the electromechanical device; curating the data with a machine learning model; receiving ground truth data associated with the curated data from a user of the electromechanical device; comparing the curated data with the ground truth data; and optimizing the machine learning model based on the comparing.

Abstract: A servo control module for a motion control system with a plurality of individual servo control modules. The servo control module includes a single axis servo drive. The servo control module further includes a set of input pins configured to receive motor state information of motors controlled by single axis servo drives of all of the other of the plurality of servo control modules over a dedicated inter-drive network each servo update cycle. The servo control module further includes a set of output pins configured to transmit the motor state information of a motor controlled by the single axis servo drive and the received state information over the inter-drive network of motors each servo update cycle.

Abstract: In an example, a method includes receiving, at a processor, a data model of an object to be generated in additive manufacturing. A virtual build volume comprising a representation of at least a portion of the object may be segmented into a plurality of nested segments comprising a core segment and a peripheral segment. Segmenting the virtual build volume may comprise determining a dimension of the peripheral segment based on at least one of a geometry of the object and an intended object property.

Abstract: A system and a method for automatically determining and analyzing electrical responses related to a group of elements. In an embodiment, the method includes one or more computer processors determining a group of elements electrically connected to a power distribution unit that supplies AC power to an AC load of the group of elements. The method further includes determining a resistance corresponding to the group of elements utilizing a solid-state relay. The method further includes dictating a phase angle trigger value to activate a solid-state current-flow control device. The method further includes determining a set of inductive impedance values corresponding to the group of elements utilizing the solid-state current-flow control device to control AC current flow to the group of elements based on the dictated phase angle trigger value. The method further includes generating an analysis of the determined set of inductive impedance values corresponding to the group of elements.

Abstract: Deep learning approaches and systems are described to control the process of casting physical objects. A neural network, operating on one or more processors of a server or distributed computing resources and maintained in one or more data storage devices, is trained to recognize relationships between the target digital representation and the resulting metal parts that are cast, and a number of specific approaches are described herein to overcome technical issues in relation to misalignments between reference points, among others. These deep learning approaches are then used for generation of command or control signals which modify how the casting process is conducted. Command or control signals can be used to modify how a cast mold is made, to modify environmental variables, to modify manufacturing parameters, and combinations thereof.

Abstract: The invention relates to a device designed to determine manufacturing data for producing objects that have variable, freely orientable orthotropic elasticity characteristics, by calculating data relating to grains of branches, which combined define branches, the number of grains of branches and the thickness of each branch being related to the desired elasticity characteristics.

Abstract: The disclosure relates to a device and a method for controlling the throughflow of blow-molding fluid during the blow molding of containers. It is the intention to provide a control device and a control method which permit a controlled or defined growth and a defined propagation of the container bubble formed by the expanding preform in the pre-blowing phase of the blow molding process without the specification of a specific setpoint value profile or of a setpoint value curve.

Abstract: A method for creating metadevices includes receiving, at a computing device, one or more boundary conditions for a metadevice. The method also includes processing, with an inverse-design algorithm stored in a memory of the computing device, the one or more boundary conditions to generate a metadevice structure design that satisfies the one or more boundary conditions. The method also includes converting, by a processor of the computing device, the metadevice structure design into a file that is compatible with an additive manufacturing device. The method further includes providing the file of the metadevice structure design to the additive manufacturing device.