Abstract: A calibration tool for a coffee grinder can receive an image generated using a light detection and ranging (LiDAR) system. The image can depict coffee grinds produced by the coffee grinder. The calibration tool can analyze the image using one or more image processing techniques to determine a representative grind size for the coffee grinds. The calibration tool can determine whether the representative grind size of the coffee grinds deviates from a predefined reference size by at least a threshold amount. In response to determining that the representative grind size of the coffee grinds deviates from the predefined reference size by at least the threshold amount, the calibration tool can output a notification associated with the deviation. The notification can include an instruction indicating how to calibrate the coffee grinder to more closely adhere to the predefined reference size.

Abstract: A calibration tool for a coffee grinder can receive an image. The image can depict coffee grinds produced by the coffee grinder. The calibration tool can analyze the image using one or more image processing techniques to determine a representative grind size for the coffee grinds. The calibration tool can determine whether the representative grind size of the coffee grinds deviates from a predefined reference size by at least a threshold amount. In response to determining that the representative grind size of the coffee grinds deviates from the predefined reference size by at least the threshold amount, the calibration tool can output an instruction indicating how to calibrate the coffee grinder to more closely adhere to the predefined reference size.

Abstract: The present disclosure relates to a method and an apparatus for processing accelerated test data based on multiple performance degradation, and a device.

Abstract: A data generation device includes: a parameter generator; and a reaction force data generator. The parameter generator generates value data based on a signal having a correlation with a driving force. The parameter generator generates velocity data based on a signal representing a response of a member driven by the driving force. The reaction force data generator generates data of a reaction force received by the member from a predetermined object based on the value data and the velocity data.

Abstract: Disclosed is a device for the certified measurement of electric parameters and customers' flexibility behaviour, and for communicating with a distribution system operator, comprises a System on Module, or SoM, a Certification Module, a Customer Communication Module and a Communication Module.

Abstract: A machining dimension prediction apparatus includes a trend acquirer that acquires, for each workpiece, trend information indicating a trend of a state of a machining tool during a machining period of machining performed by the machining tool, a feature calculator that calculates, based on the trend information, a feature using the trend of the state in each of sections included in the machining period, a measurement value acquirer that acquires a measurement value of a dimension of each workpiece after being machined, a section specifier that specifies, as a specific section of the sections, a section including a calculated feature having a greatest degree of relevance to the measurement value, and a predictor that predicts, when a new-target workpiece is machined, a dimension of the new-target workpiece after being machined based on the feature calculated using the trend of the state in the specific section.

Abstract: An apparatus is provided, which includes a setting unit for setting an operation content for a manufacturing system configured to manufacture an object to be manufactured, a first acquisition unit for acquiring a posterior state parameter set indicating a state of at least one of the manufacturing system or the object to be manufactured after the operation content is set, and a learning processing unit for executing, by using learning data including the operation content and the posterior state parameter set, a learning process of a control model of the manufacturing system configured to output the operation content that increases a reward value determined by a preset reward function in response to input of a state parameter set indicating a state of at least one of the manufacturing system or the object to be manufactured.

Abstract: An I/O server service interacts with multiple containerized controller services each implementing the same control routine to control the same portion of the same plant. The I/O server service may provide the same controller inputs to each of the containerized controller services (e.g., representing measurements obtained by field devices and transmitted by the field devices to the I/O server service). Each containerized controller service executes the same control routine to generate a set of controller outputs. The I/O server service receives each set of controller outputs and forwards an “active” set to the appropriate field devices. The I/O server service and other services, such as an orchestrator service, may continuously evaluate performance and resource utilization in the control system, and may dynamically activate and deactivate controller services as appropriate.

Abstract: There is provided an information processing apparatus for fully utilizing the functions of a machine tool by correctly converting CL data into an NC program. The information processing apparatus includes a CL data acquirer that can acquire CL data including standardization information based on a rule defined among a plurality of output devices, thereby acquiring CL data including the standardization information associated with at least one of unique control information of the numerical control apparatus, unique control information of the machine tool, and unique control information of a user of the machine tool, and an NC program generator that acquires an NC code corresponding to the standardization information included in the CL data, and generates an NC program including the NC code based on the NC code and the CL data.

Abstract: Methods, drilling systems, and computer-readable media for evaluating candidate correctional trajectories for a directional drilling well. If the user wishes to investigate alternatives trajectories or trajectories to get a BHA back to a planned trajectory, the computing system allows the user to enter one or more intermediate targets. The computing system generates drilling parameters for the alternative targets and displays them to the user. The user can adjust parameters and intermediate targets, as well as drilling parameters, to investigate a range of possible solutions before selecting an update to the planned trajectory.

Abstract: A system for inspecting each workpiece of a plurality of non-identical workpieces includes a controller in control communication with the instruments of the system, and a ruleset corresponding to one or more such non-identical workpieces, the system reconfiguring the inspection instruments to customize part tending operations for each such non-identical workpiece. A method for inspecting each workpiece of a plurality of non-identical workpiece includes providing a controller in control communication with the instruments of the system, and a ruleset corresponding to each such non-identical workpiece, the controller causing reconfiguration of the inspection instruments to customize part tending operations for each such non-identical workpiece.

Abstract: A product containing an intelligent control provides increased safety and reliability, wherein the product contains an active component, wherein the active component is adapted to monitor or control the use of the component, wherein the active component is adapted to send data to and/or receive data from a distributed database. A method of manufacturing, a machine containing the product, and a computer program product are provided.

Abstract: A calibration tool for a coffee grinder can receive an image from a camera. The image can depict coffee grinds produced by the coffee grinder. The calibration tool can analyze the image using one or more image processing techniques to determine a representative grind size for the coffee grinds. The calibration tool can determine whether the representative grind size of the coffee grinds deviates from a predefined reference size by at least a threshold amount. In response to determining that the representative grind size of the coffee grinds deviates from the predefined reference size by at least the threshold amount, the calibration tool can output an instruction indicating how to calibrate the coffee grinder to more closely adhere to the predefined reference size.

Abstract: A mobile panel maintenance system including a mobile panel maintenance unit having a base supported for translational motion over a surface within a panel array and a carriage movably mounted to the base to position a panel maintenance assembly in relation to a panel surface for panel maintenance.

Abstract: A custom footwear sole component may have an upper surface conforming to a lower surface of an underfoot component. A method of making the custom sole component includes detecting a shape of a lower surface of the underfoot component. An upper surface of the sole component may be designed that has an upper surface conforming to the detected shape of the lower surface of the underfoot component. The sole-component upper-surface design may conform to three-dimensional geometrical surface data describing an as-worn shape of the lower surface of the underfoot component. Portions of the upper surface of the sole component may extend beyond an upper surface of the underfoot component to form with the underfoot component a combined continuous upper surface. The designed sole component and custom footwear may then be manufactured.

Abstract: A sensing assembly includes a baseboard and a daughterboard operatively coupled to the baseboard. The baseboard includes a microcontroller unit (MCU) mounted to the baseboard, the MCU executing a Real Time Operating System (RTOS) and embedded Artificial Intelligence (AI) code, and two or more sensors that are mounted to the baseboard and operatively coupled to the MCU. The daughterboard includes two or more sensors that are mounted to the daughterboard. The MCU is configured to receive an output signal from each of the two or more sensors mounted to the daughterboard and the two or more sensors mounted to the baseboard and to process two or more of the output signals using the embedded AI code to produce one or more output parameters. The baseboard includes communication circuitry for communicating one or more of the output parameters to a remote device such as a remote server.

Abstract: A method for detecting occupancy and controlling electrical load based on the presence of mobile devices in a space is disclosed. An electric lighting fixture emits control signals into a surrounding area which triggers responses from nearby mobile phones that are not necessarily engaged in an active call. The lighting fixture receives response signals from mobile devices in the area and determines occupancy based on detection of the devices. The power delivery to the lighting fixture may be controlled based on occupancy. The method may further include providing audible or visual indicators of occupancy detection, requesting registration information from mobiles, storing mobile device IDs to ignore known devices, adjusting sensitivity of detection, controlling other electrical loads based on occupancy, and interfacing with a security system.

Abstract: A method for detecting an endpoint of a seasoning process for a plasma tool includes (a) operating the plasma tool to run a seasoning recipe on at least one seasoning wafer before running a monitoring recipe on at least one monitoring wafer; (b) collecting, while running the monitoring recipe on the monitoring wafer, monitoring data associated with the running the monitoring recipe; and (c) generating an estimated product parameter using a virtual metrology (VM) model that is configured to estimate a product parameter using the monitoring data. The VM model is based on production data associated with running a production recipe on production wafers and product parameters of the production wafers measured after the running the production recipe. The endpoint of the seasoning process is obtained by repeating (a), (b) and (c), and the endpoint is obtained when the estimated product parameter stabilizes.

Abstract: A balance and runout amount adjustment system for a rotary tool includes a rotary tool constituted of a tool holder mounted on a spindle, a balance determining device configured to obtain outer circumference position data of the rotary tool and to determine a mass balance of the rotary tool based on the outer circumference position data obtained, in the course of rotation of the rotary tool and a runout determining device configured to obtain shape data of the rotary tool and to determine a runout amount of the rotary tool based on the shape data obtained, in the course of rotation of the rotary tool. The rotary tool is configured to be capable of adjustment of the mass balance based on the result of the determination made by the balance determining device and capable also of adjustment of the runout amount based on the result of the determination made by the runout determining device.

Abstract: A method of analytical calculation of power supply reliability indexes of a power distribution network includes (A1) acquiring parameters of the power distribution network; (A2) building a reliability calculation model, which includes treating the power distribution network as a node-branch calculation unit and numbering nodes and branches in the power distribution network; (A3) building correlation matrices, and calculating a power supply path matrix and a tie-line matrix, wherein the correlation matrices are a node-branch association matrix, a section switch matrix and a fuse matrix; (A4) deriving a fault incidence matrix through the power supply path matrix, the section switch matrix, the fuse matrix and the tie-line matrix, and calculating the reliability indexes of the nodes and the power distribution network; and (A5) identifying vulnerable links by performing sensitivity analysis through partial derivative transformation for quantifiable parameters or perturbation transformation for unquantifiable para