Abstract: Disclosed herein are a method of controlling operations of an air conditioner by analyzing a user's behavior pattern, and an air conditioner, the present disclosure according to an embodiment includes an air blower configured to discharge air, a camera configured to acquire images of a space in which an indoor unit of the air conditioner is disposed, and a control unit configured to extract features from the image acquired by the camera, to generate image descriptions, and to control the air conditioner using parameters generated in response to the image descriptions.

Abstract: A system for detecting and indicating variations in volume of chemicals in a container is provided. The system includes a retention basin configured to retain the container. The retention basin includes a pressure cell, a basin input interfaces, and a basin controller. The pressure cell is configured to measure a weight of the container. The container is placed on the pressure cell. The basin input interface is configured to allow specification of properties of the chemicals in the container. The basin controller is configured to calculate the volume of the chemicals in the container based on the measured weight of the container and the specified properties of the chemicals in the container. The basin controller includes a basin display configured to display the calculated volume of the chemicals in the container.

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: Provided area second-order sliding mode observation-based fan power control method and system. The method includes: calculating, by second-order sliding mode observation, an observed rotational speed value of a fan, and calculating a maximum power reference current corresponding to maximum power of the fan according to a relational expression between the rotational speed and maximum power point; and performing, by controlling a Pulse Width Modulation (PWM) switch to be toggled, system Maximum Power Point Tracking (MPPT) according to the maximum power reference current, so as to control the fan to operate stably at the maximum power point.

Abstract: Methods, systems and computer program products for providing automated robotic process automation design generation are provided. Aspects include receiving a set of stored automated sub-processes. Aspects also include receiving a process description document that describes a desired computer automated task (CAT) process. Aspects also include identifying a plurality of candidate sub-processes based on the process description document. Aspects also include identifying at least one matching sub-process based on a comparison of each of the plurality of candidate sub-processes to the set of stored automated sub-processes. The at least one matching sub-process is a stored automated sub-process that exceeds a threshold level of similarity to a candidate sub-process. Aspects also include generating a recommendation to automatically populate a portion of a CAT design file for the desired CAT process based on the at least one matching sub-process.

Abstract: An energy dispatch system, apparatus, and method are disclosed. The energy dispatch system includes a server and multiple site controllers respectively corresponding to multiple users. Each user corresponds to an energy storage device, and each energy storage device has a stage of charge. The server determines a scheduled power consumption target of each scheduling period for each user according to a total support power, multiple power consumption references of the users, and the stages of charge. The server transmits each scheduled power consumption target corresponding to a first scheduling period of the scheduling periods to the corresponding site controller.

Abstract: A latchup immune microcontroller system with a power supply and a filter designed to eliminate external risks of triggering a latchup of a microcontroller caused by the power supply; a clock circuit with a clock frequency and a layout for eliminating external risks of triggering a latchup of the microcontroller caused by a high-frequency clock signal; a reset circuit that uses an optical triggering mechanism acting as a common power supply and an isolated power supply, the power detection circuit and a discharge circuit react in chain in time, avoid risks of triggering latchups of the microcontroller caused by reset signals; an interrupt with a high priority level and the discharge circuit react in chain in time to enhance data security, and output terminals are turned off in sequence to remove external causes of latchup. An application method of an I/O port to eliminate triggers of latchup of the microcontroller.

Abstract: A state determination device acquires data on an injection molding machine and stores conditions for classifying the acquired data on the injection molding machine and a plurality of learning models. The state determination device further classifies the acquired data based on the stored classification conditions and settles a learning model to which the classified data are applied, among the plurality of stored learning models. Subsequently, the state determination device performs machine learning for the learning model settled as an application destination, based on the classified data.

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: 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: 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: 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 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: 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.