Abstract: Aspects of the present invention relate to a method for controlling a renewable power plant connected to a power network to reduce deviation of a measured frequency of the power network from a target frequency. The method comprises determining a forecasted power gradient over a forecast interval defined between a first time point and a second time point, and, at a third time point during the forecast interval, controlling the power plant to output active power according to a minimum active power level if the measured frequency at the third time point is below the target frequency, controlling the power plant to output active power according to a maximum active power level if the measured frequency at the third time point is above the target frequency. The maximum and minimum active power levels are based on the forecasted power gradient.

Abstract: A textile mill system and associated method include a plurality of spinning mills each having textile machines. A computer system determines adapted machine parameters for the textile machines and processes within the spinning mills. The computer system includes a receiving and transmitting section configured to receive operational information from the spinning mills and the textile machines, and a first database configured to store the received operational information. A processing section includes an optimizer section with a neural network, wherein the neural network uses the operational information stored in the first database with processes for or derived from supervised or unsupervised machine or deep learning to determine the adapted machine parameters.

Abstract: A method of constructing a patient-specific orthopedic implant comprising: (a) comparing a patient-specific abnormal bone model, derived from an actual anatomy of a patient's abnormal bone, with a reconstructed patient-specific bone model, also derived from the anatomy of the patient's bone, where the reconstructed patient-specific bone model reflects a normalized anatomy of the patient's bone, and where the patient-specific abnormal bone model reflects an actual anatomy of the patient's bone including at least one of a partial bone, a deformed bone, and a shattered bone, wherein the patient-specific abnormal bone model comprises at least one of a patient-specific abnormal point cloud and a patient-specific abnormal bone surface model, and wherein the reconstructed patient-specific bone model comprises at least one of a reconstructed patient-specific point cloud and a reconstructed patient-specific bone surface model; (b) optimizing one or more parameters for a patient-specific orthopedic implant to be mounte

Abstract: When measuring the position of a workpiece fixed to a table of a machine tool: rotary feed axes of the machine tool are pivoted such that an upper surface of the table faces in the direction of a line of sight of a camera, and an image of the workpiece is captured; the rotary feed axes are pivoted such that a side surface of the table faces in the direction of the line of sight of an image capturing device, and an image of the workpiece is captured; and the position of the workpiece is measured on the machine tool on the basis of the captured images.

Abstract: A diagonal equal-hop heterogeneous composite redundancy domain architecture of an intelligent vehicle, comprising: a central gateway, and ADAS domain controller, a vehicle-mounted audio and video domain controller, a vehicle chassis domain controller, and an energy domain controller. The central gateway is respectively communicatively connected to the ADAS domain controller, the vehicle-mounted audio and video domain controller, the vehicle chassis domain controller, and the energy domain controller, such that the central gateway, the ADAS domain controller, the vehicle-mounted audio and video domain controller, the vehicle chassis domain controller, and the energy domain controller form a star connection topological structure; and the ADAS domain controller, the vehicle-mounted audio and video domain controller, the vehicle chassis domain controller, and the energy domain controller form an annular connection topological structure.

Abstract: This device for evaluating a performance of a visual equipment for at least one wearer of that equipment to perform at least one visual task includes: at least one input adapted to obtain a model of a scene where the task is performed, a model of the task including a sequence of points to be looked at, a model of the wearer including a movable head and at least one rotationally movable eye; at least one processor configured for determining a head posture for at least one of the points so that the model of the wearer looks respectively at that point, determining at least one task-directed performance parameter for the wearer performing the task with the head posture for that point, on the basis of the wearer, scene and task models, providing the task-directed performance parameter for determining to which extent the equipment is appropriate for the wearer.

Abstract: Apparatus and method to facilitate automatic detection of a device state are disclosed herein. Selectively constraining a sensor based data set associated with one or more states of a device, wherein selectively constraining the sensor based data set includes analyzing a distribution of the sensor based data set to determine whether to constrain the sensor based data set, the sensor based data set including a first class and a second class of data values. Determining a threshold associated with the sensor based data set by selecting the threshold based on a variance between the first and second classes of the sensor based data set, wherein selecting the threshold includes using a constrained sensor based data set when the sensor based data set is determined to be constrained, and wherein the threshold indicates the data values associated with the first and second classes.

Abstract: A farming machine includes one or more image sensors for capturing an image as the farming machine moves through the field. A control system accesses the image(s) and creates a labelled three-dimensional point cloud representing the field. The control system identifies and treats plants based on the labelled point cloud. To do so, the control system applies pre-processing functions to the labelled point cloud to determine characteristics of the field and/or modify labels in the point cloud. Point clusters in the point cloud are identified as plants, crops, weeds, ground, etc., using the determined characteristics and modified labels. The control system derives feature values for the plants based on the determined characteristics and labels. If the feature value indicates that the plant should be treated, the farming machine actuates a treatment mechanism to treat the plant.

Abstract: An example device comprises a reference model module, an adaptation law module, and an adaptive control module. The reference model module is configured to receive a setpoint input and a reference model input, and to generate a reference model output. The adaptation law module is configured to receive the reference model output from the reference model module, to perform a signum projection tensor operation based at least in part on the reference model output, and to generate a signum projection adaptation law output. The adaptive control module is configured to receive the adaptation law output from the adaptation law module, to receive the setpoint input, and to receive a sensor system output from a sensor system, and to generate an adaptive control signal.

Abstract: A method for a preemptive and graceful shutdown of utilities, facilities or systems in smart cities includes detecting a hazard at external entities based on collected information, determining whether a predefined shutdown plan for the detected hazard exists, generating a new shutdown plan, based on predefined criteria, for the detected hazard, and shutting down the at least one component of the external entities based on the new shutdown plan or the predefined shutdown plan.

Abstract: An anomality prediction system, which predicts an anomality of a machine, includes: one or more memories; and one or more processors configured to: obtain a state variable including at least one of output data from at least one sensor that detects a state of at least one of the machine or a surrounding environment, internal data of control software controlling the machine, or computational data obtained based on at least one of the output data or the internal data; generate, by inputting the obtained state variable into a machine learning model, a degree of anomality of the machine based on output from the machine learning model; and notify information based on the generated degree of anomality, wherein the notified information includes at least one of the generated degree of anomality at one or more time points, or one or more levels of anomality based on the generated degree of anomality.

Abstract: An example transformer includes a controller that determines the currents on a power grid side of the transformer, as well as an inverter/load side of the transformer. The transformer may be of a delta-wye configuration. The controller compares the currents on the delta side of the transformer to the currents on the wye side of the transformer to determine whether the currents on either side are imbalanced. If the currents on the delta side are balanced, while the currents on the wye side are imbalanced, then the controller may determine that an open phase condition exists on the wye side of the transformer. Alternatively, if the currents on the delta side are imbalanced or if the currents on the delta side are balanced and the currents on the wye side are also balanced, then the controller determines that no open phase condition exists.

Abstract: A method for controlling and/or monitoring a compressor system is provided. The compressor system includes one or more compressors and one or more peripheral devices. The compressors and the peripheral devices are arranged or connected in a predetermined configuration. The compressor system is controlled and/or monitored by a control/monitoring unit. After creation of the compressor system, the concretely existing configuration is input in the form of a P&I diagram by an editor and forms the basis for subsequent control, monitoring, diagnosis or evaluation routines.

Abstract: An aspect of some embodiments of the current invention relates to an integrated system for heat distribution among a plurality of users. In some embodiments, the system includes a separate automatic control of heat distribution to each user and/or separate billing to each user. For example, a system may supply hot fluid to a plurality of apartments in a building and/or in multiple buildings. Optionally, each apartment has separate remote controlled valves controlling flow of heated fluid to the apartment and/or a sensor sensing how much heat enters and leaves the apartment in the hot fluid. In some embodiments, a processor controls the valve and/or receives data from sensors. The processor optionally controls devices that generate and/or store and/or dissipate heat. Optionally the processor predicts energy availability, costs and needs controls valves and/or devices to provide for predicted and/or unexpected needs while reduce cost of the energy.

Abstract: A temperature control method and a data storage system are disclosed. The method includes: detecting whether a memory device is in a busy status; detecting whether a temperature of the memory device is higher than a first threshold value; instructing the memory device to perform a cool down procedure in response to that the memory device is in the busy status and the temperature of the memory device is higher than the first threshold value; and instructing the memory device to stop the cool down procedure in response to that the memory device is not in the busy status and the temperature of the memory device is lower than a second threshold value.

Abstract: The embodiments disclosed herein relate to an apparatus for monitoring a valve having: a body of the valve containing a control element; a neck extending from the body of the valve and connected to a mounting support, wherein the neck partially houses a valve stem connected to the control element and further wherein the valve stem extends through the mounting support; a gland ring mounted around the valve stem, wherein the gland ring is partially within the mounting support; a gland retainer mounted above the gland ring within the mounting support; one or more fasteners connecting the gland retainer to the body of the valve; and one or more load cells mounted around the fasteners and located above the gland retainer, wherein each load cell is configured to sense a clamping force between a top surface and a bottom surface of the load cell.

Abstract: A method visualizes manufacturing process information during manufacturing of workpieces with a flatbed machine tool. The workpieces are output as cut material on a pallet of the flatbed machine tool, a sorting table, or a conveyor belt. Workpiece image data is provided in a control system. The image data is associated with a workpiece and is for display on a display unit. Workpiece-specific manufacturing process information is provided in the manufacturing control system, and is acquired during manufacturing of the workpieces and includes features of cutting processes. A database of illustration options is provided in the manufacturing control system, the options are associated with a specific manufacturing feature and are applicable to the workpiece image data to cause an illustration of the respective workpiece image data on the display unit. The workpiece image data is displayed on the display unit, while taking into account illustration options in the workpiece-specific manner.

Abstract: To provide an information processing device and an information processing method capable of grasping the situation of the place using a plurality of arranged sensors and controlling arranged actuators so as to obtain the ideal situation.

Abstract: Provided herein are methods, apparatuses, and non-transitory computer readable media concerning quality assurance of three-dimensional object(s) and their formation. In some embodiments, a plurality of variables is considered in assessing performance of a manufacturing mechanism (e.g., printer) utilized in forming the three-dimensional object(s). In some embodiments, a plurality of variables is considered in assessing a process for forming the three-dimensional object(s). In some embodiments, a plurality of variables is considered in assessing a quality of the formed three-dimensional object(s).

Abstract: In an example a tangible machine-readable medium stores instructions which, when executed by a processor, cause the processor to determine an object generation arrangement for additive manufacturing based on a separation distance between objects, wherein the separation distance varies based on an intended location of object generation.