Abstract: The present disclosure is directed to an air filter sensor system that can monitor a status of a filter and provide information to a remote system regarding the filter's status. The system can receive, by a computing server via one or more computer networks and from each of a plurality of sensor assemblies coupled to a corresponding plurality of air filters, information indicative of filter contamination levels respectively associated with each corresponding air filter of the plurality of air filters. Each of the respective filter contamination levels being provided by one sensor assembly of the plurality of sensor assemblies based at least in part on a difference in detected air pressure between first and second sides of the corresponding air filter.

Abstract: A fan unit reduces the number of man-hours for a preliminary test and eliminates the need for a trial run at the time of duct connection are realized. A second controller acquires: a rotation speed of a fan motor of a second fan; a volume of air, a wind speed, or front-rear differential pressure of the second fan; and an air volume target value or a wind speed target value for the second fan, and calculates a rotation speed target value Ny for the fan motor 31b by using a first function: Ny=(Qy/Qx)2×?Px×{m×(Qy/Qx)×Vx+p}+n×(Qy/Qx)×Vx+q. Furthermore, when the front-rear differential pressure fluctuates and the wind speed is decreased from Vt to V, the second controller calculates a rotation speed change amount to the rotation speed target value by using a second function: ?N=a×(Vt?V).

Abstract: A method for qualifying a manufacturing process for a first component including a common geometric feature includes obtaining manufacturing data for the common geometric feature. The manufacturing data is associated with one or more qualified second components. The one or more qualified second components are different than the first component. Each of the one or more qualified second components include the common geometric feature. The method further includes modeling the manufacturing process for the common geometric feature of the one or more qualified second components using the manufacturing data, modeling the manufacturing process for the common geometric feature of the first component, obtaining manufacturing process parameters for the manufacturing process for the common geometric feature of the one or more qualified second components, and qualifying the manufacturing process for the common geometric feature of the first component.

Abstract: Example active flow control systems and methods for aircraft are described herein. An example an active flow control system includes a plenum, a plurality of nozzles fluidly coupled to the plenum, configured to eject high pressure air across a control surface, a compressor to supply pressurized air to the plenum, an electric motor to drive the compressor, and a control system to determine an amount of power input to the electric motor, determine a current speed of the electric motor, and determine a fault has occurred in the active flow control system based on the current speed of the electric motor.

Abstract: This application discloses an automation system, including a non-contact power-supply device and a moving body device. The non-contact power-supply device includes a power rail, a power-obtaining circuit, and a power supply receiving circuit. The moving body device includes a body, an inverter circuit, and a motor-control circuit. The non-contact power-supply device is configured to supply power to the moving body device.

Abstract: A search apparatus includes a processor and a memory. The processor receives a molding result of a reference sample manufactured by the additive manufacturing apparatus. The processor calculates predicted values from a predictive model. The processor determines whether the evaluation target values are achieved by the measured values. The reference sample has at least three smooth surfaces and a surface having aggregated punched holes formed by straight lines and curved lines that are involved in three types of regions to be set as the conditions.

Abstract: A method and a device for simulating a machining process of a workpiece on an NC-controlled machine tool by means of a self-learning artificial neural network. Process parameters both from a machining process on a real machine tool located in a manufacturing section and a digital machine model implemented in a simulation section are provided to the artificial neural network to learn the behavior of the machine tool including the tools and workpieces used and are reformatted into input parameters by means of mathematical transformation. By learning the behavior of the machining process, the artificial neural network ca, send output files back to the simulation software of the simulation section and optimally adapt the behavior of the digital machine model to the conditions of the real machine tool by adapting the simulation parameters and make it more efficient in order to optimize the machining process on the machine tool.

Abstract: A method for generating a material for a partial replacement includes receiving an image of a sample of an original material needing to be replaced, generating a representative data set for the original material based on the image received, accessing a reference database comprised of a plurality of different materials and including reference texture data or reference characteristic data for each of the plurality of different materials, comparing the representative data set to the reference data in the reference database, identifying at least one of the plurality of different materials correlated to the representative data set, determining the identified correlated material is not available, sending a request to generate a replacement material, and generating the replacement material.

Abstract: A control module configured to control operation of a damper assembly includes an air damper configured to be disposed within an air duct and movable between an open end position and a closed end position, the air duct providing conditioned air to a register boot proximate the air duct. The control module includes a control module housing that is securable to the register boot. A controller is disposed within the control module housing and is configured to generate damper position control signals, the controller providing the damper position control signals to the damper assembly via a control cable that operably couples the control module with the damper assembly. An antenna extends from the control module housing and is operably coupled to the controller, and is configured to extend through an opening formed within a wall of the register boot to be positioned exterior to the register boot.

Abstract: Removable denture data of a removable denture is produced, and disk frame data of a disk frame in which the removable denture is accommodated is produced, thereby building the disk frame based on the disk frame data. Next, a resin disk in which artificial teeth are embedded is produced by arranging the artificial teeth in the disk frame and curing a base resin, and a denture base is milled by milling the resin disk based on the removable denture data, thereby manufacturing the removable denture in which a base side of the artificial teeth is embedded in the denture base. As a result, artificial teeth having an excellent aesthetics may be used, it is possible to firmly join the artificial teeth and the denture base to each other, and it is possible to manufacture a removable denture with a favorable restoration accuracy of the artificial teeth.

Abstract: A damper system is configured for installation in ductwork including a duct supplying conditioned air through a register boot to a register vent. A damper is movable between a closed position and an open position. A control module includes a control module housing, a controller, a power supply and a transceiver. The controller monitors a remaining energy level of the power supply and transmits a first low battery message via the transceiver when the remaining energy level drops to a first energy threshold. The controller instructs the damper assembly to move to a predetermined position and to transmit a second low battery message via the transceiver when the remaining energy level drops to a second energy threshold.

Abstract: Disclosed are a control method and a control device of an apparatus and an apparatus using the control device. The control method includes: detecting whether an outdoor unit of the apparatus enters a standby state; and controlling the outdoor unit to enter a low power consumption mode for controlling a drive of the outdoor unit to be powered off after detecting that the outdoor unit enters the standby state.

Abstract: An apparatus configured to facilitate identifying a factor for a defect if the defect occurs in a finished surface of the workpiece. An apparatus includes a movement path generation section configured to generate the movement path of the industrial machine when performing a work on a workpiece; a running information acquisition section configured to acquire running information of the industrial machine when performing a work on the workpiece; and an image data generation section configured to generate the image data in which a first point on the movement path corresponding to a change point of first running information, and a second point on the movement path corresponding to a change point of second running information different from the first running information are highlighted on the movement path in display forms visually different from each other.

Abstract: Systems and methods of dynamic IoT device regulation and control can aid in shifting a user's emotional state from a first state of mind to a preferred second state of mind, using the user's biomarker response to device settings. Particularly, an IoT device controller may be embedded within a wearable device that is wirelessly connected to a computing device and one or more IoT devices. Initially, each wearable device can be calibrated, wherein a matrix of sensed user biomarker responses can be generated. In some embodiments, the system continuously monitors user biomarkers to detect which physiological state exists. When the user enters into the first physiological/psychological state, the system can adjust each IoT device to align with the second state. When the system detects that the user biomarker response has not shifted, the system can continuously adjust IoT settings based upon a learning algorithm having monitored user biomarkers as input.

Abstract: A method for protecting a power system having inverter-interfaced renewable energy sources is provided. The power system includes an inverter and a control system. The control system includes a current controller including a saturation limiter and a proportional and integral (PI) controller, a phase-locked system, and a low-voltage ride-through (LVRT)control unit. The method includes: by using a Park transformation matrix, determining an output voltage of the inverter; determining a modulated voltage of the output voltage; upon detecting a grid fault, obtaining current references by the LVRT control unit; determining a fault current in a first stage of a transient phase of the grid fault; determining a fault current in a second stage of the transient phase; determining a fault current in a third stage of the transient phase; and switching the control system to a fault control mode by tracking the fault currents in the first, second and third stages, to the current references.

Abstract: Systems and methods for controlling the ambient temperature within a region or zone of a building are disclosed. A system comprises a thermostat, one or more sensors placed throughout an environment, a computing cloud, and a remote mobile or desktop device running a software application (“app”). An end user may interact with an app running on the mobile device or desktop. The app may display the current conditions in a house and allow the user to select specific temperature sensors located throughout the house which the user wants to monitor and control. This selection of one or more temperature sensors is communicated to the computing cloud, and the computing cloud sends commands to the thermostat to monitor the user's selected temperature sensors for controlling the heating and cooling of the house.

Abstract: Aspects of methods, apparatuses, and computer-readable media for performing multi-material selection optimization (MMSO) to provide topologically and geometrically optimized multi-component structures (MCSs) across a plurality of design inputs and constraints are proposed. In some embodiments, a 3-D print model of an object based on load case criteria is obtained. A portion of the 3-D print model is determined that can be replaced with a commercial-off-the-shelf (COTS) part model such that the load case criteria remain satisfied. The portion or the 3-D print model can then be replaced with the COTS part model to determine the MCS model. In various embodiments, a mesh representation of the model can be generated, and plurality of optimization techniques can be used to determine the MCS model.

Abstract: An apparatus for superimposing prints of a part for manufacture onto computer models of the part for manufacture is disclosed. The apparatus includes a processor and a memory communicatively connected to the processor. The memory containing instructions configuring the at least a processor to receive a computer model of the part for manufacture and a print of a part for manufacture. The processor decomposes a side view of the print, matches features of the part for manufacture in the side view to features of the part for manufacture in the computer model, superimposes a first plurality of object lines in the computing model onto a second plurality of object lines in the side view, and transfers the first semantic datum from the side view to the computer model.

Abstract: A control method includes: calculating a correction value after a predetermined process is executed; and controlling a control target based on an output value of at least one of a real sensor and a virtual sensor during execution of the predetermined process. The calculating includes correcting an output value of the virtual sensor. The controlling includes: controlling the control target based on an output value of the real sensor while monitoring a failure of the real sensor; correcting an output value of the virtual sensor with the correction value when the real sensor fails; and switching from a control based on the output value of the real sensor to a control based on the output value of the virtual sensor after the correcting the output value of the virtual sensor.

Abstract: A collation section (14) extracts a difference between two pieces of operation setting data which are pieces of data each of which is for setting operation in a device, and generates difference information indicating the extracted difference, before a user requests. A collation result management section (15) stores in a storage device (150), the difference information generated by the collation section (14). A display section (16) acquires the difference information from the storage device (150) and outputs the acquired difference information to a display device when the user requests.