Abstract: A wire disconnection prediction device includes: a data acquisition part configured to acquire data relating to machining of a workpiece in a state where a wire is not disconnected during machining of the workpiece by a wire electric discharge machine; a preprocessing part configured to create, machining condition data of a condition relating to a machining condition commanded in machining of the workpiece, machining member data relating to a member used in the machining, and machining state data during machining of the workpiece, as state data indicating a state of the machining; and a learning part configured to generate, based on the state data created by the preprocessing part, a learning model indicating correlation between the state data and the state where the wire of the wire electric discharge machine is not disconnected.

Abstract: Methods for predictive maintenance with using machine learning in a building automation system and corresponding systems and computer-readable mediums. A method includes receiving device event data corresponding to a device and executing an inference engine to determine root cause fault data corresponding to the device event data. The method includes executing a predictive maintenance engine to produce a survival analysis for the physical device based on the root cause fault data. The method includes producing updated failure data by the predictive maintenance engine, based on the survival analysis, and providing the updated failure data to the inference engine. The inference engine thereafter uses the updated failure data in a subsequent root cause analysis. The method includes outputting the survival analysis.

Abstract: An approach to intelligent additive manufacturing makes use of one or more of machine learning, feedback using machine vision, and determination of machine state. In some examples, a machine learning transformation receives data representing a partially fabricated object and a model of an additional part (e.g., layer) of the part, and produces a modified model that is provided to a printer. The machine learning predistorter can compensate for imperfections in the partially fabricated object as well as non-ideal characteristics of the printer, thereby achieving high accuracy.

Abstract: Systems and apparatuses include a first controller structured to control a first power system object located on a first route of a power system, and a second controller structured to control a second power system object located on a second route of the power system. The first controller and the second controller are both structured to perform a route level function including coordination of actions of the first power system object and the second power system object, and the first controller is a principal controller and the second controller is a participant controller.

Abstract: A home appliance can operate in a future time frame. Information is obtained from a power distributor in order to determine a time when to operate the home appliance in this future time frame. The home appliance then operates at the time determined with information from the power distributor.

Abstract: The controller includes a program storage that stores programs specifying a plurality of operations associated with at least one operable unit; a program executor that executes the programs; an operation executor that causes the operable unit to operate according to the programs; and an operable unit manager that manages control of the programs. When a program is called from one of the programs, the operable unit manager obtains control of a group associated with the operable unit and specified in the called program, and releases control of a group other than the group associated with the operable unit and specified in the called program.

Abstract: A semiconductor manufacturing apparatus includes one or more process modules, a scheduler, and a transfer controller. A product wafer of a lot that is transferred from a load port to one of the one or more process modules is replenished such that a total number of wafers that are simultaneously processed in the one or more process modules becomes N. When an advance lot being processed and a post lot to be processed subsequent to the advance lot have a same processing condition, the scheduler creates the transfer plan to replenish with the product wafer of the post lot instead of a dummy wafer such that the transfer controller transfers the product wafer and the dummy wafer to the one or more process modules according to the created transfer plan.

Abstract: Disclosed by the present disclosure is a refrigerant leak detection method and device for an air conditioner. The method includes: acquiring current operating parameters of an air conditioner and environment information of a surrounding environment of the air conditioner; inputting the current operating parameters and the environment information into a trained neural network model to obtain an amount of remaining refrigerant outputted by the neural network model; and determining, according to the amount of the remaining refrigerant, whether there is a refrigerant leak in the air conditioner. The present disclosure improves accuracy of detecting a refrigerant leak in the air conditioner by means of an artificial neural network algorithm.

Abstract: Systems and methods of optimizing wafer transport and metrology measurements in a fab are provided. Methods comprise deriving and updating dynamic sampling plans that provide wafer-specific measurement sites and conditions, deriving optimized wafer measurement paths for metrology measurements of the wafers that correspond to the dynamic sampling plan, managing FOUP (Front Opening Unified Pod) transport through the fab, transporting wafers to measurement tools while providing the dynamic sampling plans and the wafer measurement paths to the respective measurement tools before or as the FOUPs with the respective wafers are transported thereto, and carrying out metrology and/or inspection measurements of the respective wafers by the respective measurement tools according to the derived wafer measurement paths.

Abstract: A ventilation system with: (i) a volumetric enclosure having an inlet and an outlet and for coupling to an interior of a building habitable by human occupants; (ii) a fan located within the volumetric enclosure and for drawing air exterior to the building and supplying the air to the interior of the building; (iii) a programmable control apparatus for enabling and disabling the fan in response to a plurality of parameters, at least some of the parameters relating to quality of air to me moved in response to the fan; and (iv) circuitry coupled between the inlet and the outlet for measuring a signal representative of a volume of air passing through the volumetric enclosure over a period of time.

Abstract: The present disclosure is directed to performing work on a working surface based on a desired path using a working member. The disclosed system advances the working member with respect to the desired path using a first positioning system and a second positioning system. The first positioning system comprises a frame and actuators operable to advance the working member with respect to a portion of the desired path within an adjustment region. The second positioning system comprises actuators operable to move the frame. By moving the frame using the second positioning system, the first positioning system advances the working member with respect to a portion of the desired path that was outside the adjustment region before the frame was moved.

Abstract: Systems include one or more critical datacenter connected to behind-the-meter flexible datacenters. The critical datacenter is powered by grid power and not necessarily collocated with the flexboxes, which are powered “behind the meter.” When a computational operation to be performed at the critical datacenter is identified and determined that it can be performed at a lower cost at a flexible datacenter, the computational operation is instead routed to the flexible datacenters for performance. The critical datacenter and flexible datacenters preferably shared a dedicated communication pathway to enable high-bandwidth, low-latency, secure data transmissions.

Abstract: This application is directed to a display assistant device that acts as a voice-activated user interface device. The display assistant device includes a base, a screen and a speaker. The base is configured for sitting on a surface. The screen has a rear surface and is supported by the base at the rear surface. A bottom edge of the screen is configured to be held above the surface by a predefined height, and the base is substantially hidden behind the screen from a front view of the display assistant device. The speaker is concealed inside the base and configured to project sound substantially towards the front view of the display assistant device.

Abstract: One embodiment of the present disclosure is a system for predicting performance of building equipment. The system comprises one or more sensors in communication with the building equipment, and the sensors are operable to detect characteristics from the building equipment. The system further comprises a computing device in communication with the sensors and in the same geographic location as the sensors. The computing device comprises one or more memory devices configured to store instructions that, when executed on one or more processors, cause the one or more processors to receive data from the sensors, the data based on the detected characteristics. The one or more processors also generate, based on a machine learning model and the data, a predicted performance of the building equipment when the machine learning model comprises a prior data substantially similar to the data.

Abstract: A method of managing energy by use of processing logic that comprises a load processor as a cloud service is provided. The method includes receiving power load information from a data collection system located at a building and using a cloud analysis layer that employs machine-learning and artificial intelligence for optimization control, analyzing the received power load information to disaggregate load waveform signals and identify device-based power loads by use of a neural network to perform historical device demand and performance analysis to generate device-based demand forecasting, generating demand forecasts for the building to mitigate peak demand based on analysis of a power draw signal and the generated device-based demand forecasting, and determining whether the generated demand forecast for the building is to peak in a near future, based on threshold values of at least one of generated device-based demand forecasting, power price or cost information, and user behavior analysis.

Abstract: A method of fabricating an object using an additive manufacturing system includes receiving data indicative of a desired shape of the object to be fabricated by droplet ejection. The desired shape defines a profile including a top surface and one or more recesses. Data indicative of a pattern of dispensing feed material is generated to at least partially compensate for distortions of the profile caused by the additive manufacturing system, and a plurality of layers of the feed material are dispensed by droplet ejection in accordance to the pattern.

Abstract: In a network in which devices are classified into a plurality of layers, a physical first line is connected to an outdoor unit and a first indoor unit, which are first-layer devices, and a physical second line is connected to a second indoor unit, which is a second-layer device. A first intermediary unit, which is a first intermediary device, includes a first filter always connected to the first line and the second line. The first intermediary unit communicates with the outdoor unit and the second indoor unit via a first signal. The first filter is installed so as not to attenuate a high-frequency first signal used for communication among the outdoor unit, the first indoor unit, the first intermediary unit, and the second indoor unit and so as to attenuate a low-frequency second signal used for communication between the first intermediary unit and the second indoor unit.

Abstract: One aspect is directed to a system for controlling airflow in a facility having a ceiling-ducted aisle airflow containment system having a first damper system for controlling airflow. The system includes an input to receive parameters related to airflow in the facility, wherein the parameters include at least one airflow resistance value for a device in the facility, an output to provide output data including at least one setting for one or more controllable devices in the facility, and one or more processors configured to receive the parameters related to airflow, determine airflow values associated with the airflow containment system and based on the airflow values, generate the at least one setting for the one or more controllable devices, including at least one setting for the first damper system.

Abstract: The present disclosure relates to a method for manufacturing nose implant, including obtaining a 3-dimensional image of a nasal bone and a 3-dimensional image of a nasal cavity; modeling a nasal cartilage by applying information of anatomy between the nasal bone, nasal cavity, and nasal cartilage, to the 3-dimensional image of the nasal bone and the 3-dimensional image of the nasal cavity; and modeling an inner shape of where the implant may be seated, from the 3-dimensional image of the nasal bone and the modelled nasal cartilage.

Abstract: A method for producing bone grafts using 3-D printing is employed using a 3-D image of a graft location to produce a 3-D model of the graft. This is printed using a 3-D printer and a printing medium that produces a porous, biocompatible, biodegradable material that is conducive to osteoinduction. For example, the printing medium may be PCL, PLLA, PGLA, or another approved biocompatible polymer. In addition such a method may be useful for cosmetic surgeries, reconstructive surgeries, and various techniques required by such procedures. Once the graft is placed, natural bone gradually replaces the graft.