Abstract: Examples of methods for part packing are described herein. In some examples, a first subset and a second subset of a set of parts are determined. In some examples a first packing of the first subset is determined. In some examples, a second packing of the second subset is determined based on the first packing.

Abstract: An actuator in an HVAC system is provided. The actuator includes a motor and a drive device. The drive device is driven by the motor and coupled to an HVAC component for driving the HVAC component between multiple positions. The actuator further includes a processing circuit. The processing circuit is coupled to the motor and configured to transmit control signals to operate the motor to drive the HVAC component between a first position and a second position, monitor temperature data received from one or more temperature sensors, determine that the temperature data does not meet an expected performance criterion and transmit an alarm signal.

Abstract: A computer-implemented method for training a classifier, particularly a binary classifier, for classifying input signals to optimize performance according to a non-decomposable metric that measures an alignment between classifications corresponding to input signals of a set of training data and corresponding predicted classifications of the input signals obtained from the classifier. The method includes providing weighting factors that characterize how the non-decomposable metric depends on a plurality of terms from a confusion matrix of the classifications and the predicted classifications, and training the classifier depending on the provided weighting factors.

Abstract: A prediction control development device according to one aspect of the present invention generates a prediction model of a control amount by analyzing first time-series data of the control amount and provides the generated prediction model to a controller. The prediction control development device acquires second time-series data showing transition of a value of the control amount during prediction control using the prediction model, and evaluates prediction accuracy of the prediction model based on a difference between a prediction value by the prediction model and a value of the second time-series data. When the prediction accuracy of the prediction model is not allowable, the prediction control development device analyzes the second time-series data to newly generate a prediction model of the control amount, and provides the newly generated prediction model to the controller.

Abstract: An agricultural machine applies liquid material to a field. Valve control signals control valves to apply the liquid material. Row pressure on the agricultural machine is sensed to identify when the valve is opened to apply the liquid material. The valve control signals are generated, based on the row pressure, to control the valves to apply the liquid material at a desired location in the field, relative to plant locations in the field.

Abstract: A method may involve receiving, via at least one processor, a request from an industrial component operating in an industrial automation system, such that the request may include an indication of a software function. The method may then involve querying a container registry having a plurality of container images based on the software function, identifying at least one container image of the plurality of container images that corresponds to the software function, sending an indication of the at least one container image to the industrial component, and receiving a selection of the at least one container image from the industrial component. The method may also involve retrieving the at least one container image from the container registry and sending the at least one container image to the industrial component.

Abstract: According to one or more embodiments of the disclosure, a device obtains one or more System Configuration Description Language files regarding a power utility automation network. The device also obtains traffic data regarding traffic in the power utility automation network. The device trains, using the one or more System Configuration Description Language files and the traffic data, a behavioral model for the power utility automation network that models traffic in the power utility automation network. The device initiates use of the behavioral model in the power utility automation network to identify anomalous traffic behavior in the power utility automation network.

Abstract: Execution restrictions on tasks based on a state of a multifunction robot or the like are satisfied, and furthermore, the execution efficiency of the entirety of an operation is also enhanced. An information processing device includes a determination unit that determines an execution order of a plurality of tasks including an operation for a target object, based on a transition of a state of an operation tool used in each of the tasks.

Abstract: A supply-demand control device is configured to: set, for each priority rank defined in advance, an allowable limit within a range of a value set for a higher priority rank than the each priority rank, the allowable limit indicating an upper limit of the power or the energy allowed to be supplied in response to a demand of the each priority rank while the power or the energy supplied in response to a demand of the higher priority rank is secured; detect the demand for the power or the energy, which occurs in the industrial product; and allocate, in order of the priority rank, the power or the energy supplied from a predetermined supply source in response to the detected demand, such that the supplied power or energy is equal to or lower than the upper limit indicated by the allowable limit set for the each priority rank.

Abstract: A method for making a rapid prototype of a patient's mouth to be used in the design and fabrication of a dental prosthesis. The method takes an impression of a mouth including a first installation site having a dental implant installed in the first installation site and a gingival healing abutment having at least one informational marker attached to the dental implant. A stone model is prepared based on the impression, including teeth models and model markers indicative of the at least one informational marker. The model is scanned. Scan data is generated from the scanning. The scan data is transferred to a CAD program. A three-dimensional model of the installation site is created in the CAD program. The at least one informational marker is determined to gather information for manufacturing the rapid prototype. Rapid prototype dimensional information is developed.

Abstract: Systems and methods for managing power on an electric power grid including a server for communicating IP-based messages over a network with distributed power consuming devices and/or power supplying devices, the IP-based messages including information relating to activities by the power consuming devices and/or the power supplying devices; and wherein the information is transformed by the system into settlement grade data corresponding to the activities of the power consuming devices and/or the power supplying devices.

Abstract: A first input associated with an audio input from within a physical environment and an indication that a manual input device has been moved to a first operative position of the manual input device is received. The first input is mapped to a building automation control context. A controlled subsystem is caused to be operated in a manner associated with the first operative position and the building automation control context.

Abstract: In described examples of methods and control systems to control a position and/or velocity of a machine, control circuitry is coupled to receive and dither a control signal, and to compute a control output value according to the dithered control signal and a control function. An inverter is coupled to the control circuitry, to control the position and/or velocity according to the control output value.

Abstract: Described is a system (and method) for locating a center point of a lug nut for an automated vehicle wheel removal system. To improve the accuracy of the center point, the system may perform machine learning inferences using two-dimensional (2D) and three-dimensional (3D) image data. The system may process a 2D image to infer an initial center point, and potentially improve the accuracy by leveraging a 3D image. More particularly, the system may process a 3D image to infer a location of one or more edges (or edge points) around the perimeter of the lug nut and measure a set of distances between the initial center point and the located set of edges. The system may then refine (or adjust) the center point based on such measurements.

Abstract: A method includes obtaining state information from one or more sensors of a digital twin. The method includes determining an action at the first routing control location based on the state information, where the action includes one of a pallet merging operation and a pallet splitting operation, and determining a consequence state based on the action. The method includes calculating a transient production value based on the consequence state and a transient objective function, calculating a steady state production value based on the consequence state and a steady state objective function, and selectively adjusting one or more reinforcement parameters of the reinforcement learning system based on the transient production value and the steady state production value.

Abstract: A printing head assembly for 3D printing and methods of using the same are provided. The printing head incorporates a backing means that can be shaped and positioned by use of an attractive force. This creates the possibility of embodiments in which the head can move in three dimensions, without the need to print each successive layer on the layer below. Methods of ensuring the security and integrity of the 3D printing process are also provided.

Abstract: A smart ring includes a body including flexible material, a first part, a second part removably connected to the first part, and at least one pair of break-away portions disposed within the body separate from the first part and the second part. One or more of a battery, a charging unit, a processor unit, a user input unit, a communication unit, a memory unit, at least one sensor unit, an output unit or a user input unit is disposed in or on one of the first part and the second part. Each of the break-away portions of the pair of break-away portions is removable from the other break-away portion upon movement of one break-away portion in a direction away from the other break-away portion.

Abstract: A manufacturing system includes a processing chamber, an gas supply, and a mass flow control apparatus coupled to the gas supply and the processing chamber. The mass flow control apparatus includes a flow restriction element configured to restrict a flow rate of a gas, a bypass flow element configured to control the flow rate of the gas in parallel to the flow restriction element, and a pressure regulator configured to control a pressure of the gas between the pressure regulator and the flow restriction element and/or a pressure of the gas between the pressure regulator and the flow restriction element. The manufacturing system further includes a controller that is configured to flow gas from the gas supply to the processing chamber via the mass flow control apparatus in view of a first pressure setting. The controller further determines to modify the flow of the gas from a first flow rate associated with the first pressure setting to a second flow rate.

Abstract: Disclosed are a child care information platform server for recommending information regarding child care based on user information and the operating method thereof. A child care information platform server and the operating method thereof according to an embodiment of the present invention is possible to support recommendation of a child care product for each of a plurality of categories by generating a 3 dimensional characteristic vector based on a mother's personal information and health condition, and a child's health condition which are received from a user terminal, calculating the vector similarity between the 3 dimensional characteristic vector and the predetermined standard vectors of each of the plurality of child products, for each of the plurality of categories, and selecting a recommended child care product wherein the vector similarity of the recommended child care product is biggest among the plurality of child care products.

Abstract: A system and methods for Advance Process Control (APC) in semiconductor manufacturing include: for each of a plurality of waiter sites, receiving a pre-process set of scatterometric training data, measured before implementation of a processing step, receiving a corresponding post-process set of scatterometric training data measured after implementation of the process step, and receiving a set of process control knob training data indicative of process control knob settings applied during implementation of the process step; and generating a machine learning model correlating variations in the pre-process sets of scatterometric training data and the corresponding process control knob training data with the corresponding post-process sets of scatterometric training data, to train the machine learning model to recommend changes to process control knob settings to compensate for variations in the pre-process scatterometric data.