Abstract: An appliance is provided. The appliance includes a transceiver, and a processor configured to, based on an external appliance being identified to be adjacent to the appliance, receive arrangement state information of the external appliance through the transceiver, identify whether the appliance is a slave device controlled by the external appliance or a master device to control the external appliance based on the arrangement state information of the external appliance and arrangement state information of the appliance, based on the appliance being identified as the slave device, transmit a control authority to the external appliance through the transceiver, and based on the appliance being identified as the master device, request the control authority from the external appliance identified as the slave device through the transceiver.

Abstract: A model calculating unit for the selective calculation of an RBF model or of a neural layer of a multilayer perceptron model having a hardwired processor core designed in hardware for calculating a fixedly specified computing algorithm in coupled function blocks. The processor core is designed to calculate an output variable for an RBF model as a function of one or multiple input variables of an input variable vector, of supporting points, of length scales, of parameters specified for each supporting point, the processor core furthermore being designed to calculate an output variable for each neuron for the neural layer of the multilayer perceptron model having a number of neurons as a function of the one or the multiple input variables of the input variable vector, of a weighting matrix having weighting factors and an offset value specified for each neuron.

Abstract: A management apparatus manages works to supply components to component mounting devices in a component mounting line. The management apparatus includes a component remaining number information acquisition portion that acquires, from each of the component mounting devices, a remaining number of components stored in the component mounting device, a worker information storage portion that stores worker information including a working range of each of workers in the component mounting line, a work sequence decision portion that generates work sequence information indicating a work sequence of component supply works for each of the workers based on the worker information and component remaining number information about a plurality of components within a predetermined period of time, and an information transmission portion that transmits the work sequence information to the workers who should perform the works.

Abstract: Regulating a power ramp rate of a wind park at a point of common coupling (PCC) between the wind park and a utility grid. The method comprises receiving a power reference for the wind park; determining the power ramp rate of the wind park as a function of the power output of each individual wind turbine in the park, wherein the power ramp rate of the wind park is based on the power ramp rates of the individual wind turbines and determining a corresponding plurality of power set-points for each wind turbine based on the power ramp rates and power reference. The corresponding plurality of power set-points is dispatched to the plurality of wind turbines for regulating the power ramp rate of the wind park in dependency of the power ramp rates of the plurality of wind turbines.

Abstract: An electric motor drive system is provided wherein safety is achieved by commanding the process system of the relevant axis or set of axes to execute motion that follows a defined path, namely trajectory of position, velocity and acceleration against time, re-constructing an identical trajectory in the safety system and in, the safety system, supervising deviations between the safely reconstructed target position and the safe measurement of position.

Abstract: A power system that uses machine learning algorithms to solve various problems related to the delivery of power on integrated circuit systems is provided. The power system may process data on a platform near the target integrated circuit or off-platform in a cloud so that the machine learning algorithms can extract information from the data, process and analyze the data, and perform suitable action based on the analysis results. Applying machine learning to integrated circuit power delivery may involve the application of algorithms such as anomaly detection, load prediction, regression, and classification. Operated in this way, the power system may be provided with improved voltage/frequency scaling capabilities, security, and power efficiency.

Abstract: An electronic device and method of operating an electronic device are provided. The electronic device includes a temperature measurement unit configured to measure a temperature of each of multiple components of the electronic device, and a controller configured to change, based on a first reference temperature, an operating frequency of the controller to a first operating frequency when a temperature of the controller, measured by the temperature measurement unit, reaches the first reference temperature and change, based on a third reference temperature that is lower than the first reference temperature, the operating frequency of the controller to a second operating frequency when a temperature of at least one component of the multiple components reaches a second reference temperature while the controller operates at the first operating frequency.

Abstract: Among other things, techniques are described for controlling power of electronic devices of a vehicle. For example, a vehicle includes a power source, a power distribution unit configured to control power to at least one electronic device from the power source, a first processor configured for communicating power commands to the power distribution unit. The power distribution unit comprises a second processor configured to execute computer executable instructions stored in computer-readable medium for carrying out operations including adjusting a power distribution from the vehicle power source to the at least one electronic device based on a power command received from the first processor.

Abstract: A controller may configure the machine to operate in a plurality of modes including a manned control mode, a remote control mode, and an autonomous control mode. The controller may receive a request to cause the machine to perform an action; and determine a requested mode of operation of the machine associated with the request. The requested mode of operation may be one of the plurality of modes. The controller may selectively deny the request or enable the machine to perform the action based on a priority assigned to a current mode of operation of the machine and a priority assigned to the requested mode of operation.

Abstract: A system determines an object part density relative to a build region in a layer of build material used in an additive manufacturing machine, the object part density based on a relative portion of the build region where an energy absorbing agent is applied. The system controls a thermal characteristic of the build region in the layer of build material based on the determined object part density.

Abstract: A system includes a multicore chip configured to perform machine learning (ML) operations. The system also includes a power monitoring module configured to measure power consumption of the multicore chip on a main power rail of the multicore chip. The power monitoring module is further configured to assert a signal in response to the measured power consumption exceeding a first threshold. The power monitoring module is further configured to transmit the asserted signal to a power throttling module to initiate a power throttling for the multicore chip.

Abstract: An information handling system stores a hash values for firmware components for the information handling system. A processor receives an off-host image verification request from a second information handling system. In response to the off-host image verification request, the processor reads first metadata for a next firmware component, provides the first metadata to the second information handling system, and receives a golden hash value from the second information handling system. In response to the first hash value not matching the golden hash value, the processor applies a mitigation policy. In response to the first hash value matching the golden hash value, the processor provides a device verification signal.

Abstract: A computer-implemented method and system is provided. The system adaptively switches prediction strategies to optimize time-variant energy demand and consumption of built environments associated with renewable energy sources. The system analyzes a first, second, third, fourth and a fifth set of statistical data. The system derives of a set of prediction strategies for controlled and directional execution of analysis and evaluation of a set of predictions for optimum usage and operation of the plurality of energy consuming devices. The system monitors a set of factors corresponding to the set of prediction strategies and switches a prediction strategy from the set of derived prediction strategies. The system predicts a set of predictions for identification of a potential future time-variant energy demand and consumption and predicts a set of predictions. The system manipulates an operational state of the plurality of energy consuming devices and the plurality of energy storage and supply means.

Abstract: Systems and methods for utilizing a spatial statistical model to maximize efficacy in performing trials on agronomic fields are disclosed herein. In an embodiment, a system receives first yield data for a first portion of an agronomic field, the first portion of the agronomic field having received a first treatment, and second yield data, for a second portion of the agronomic field, the second portion of the agronomic field having received a second treatment that is different than the first treatment. The system uses a spatial statistical model and the first yield data to compute a yield value for the second portion of the agronomic field, the yield value indicating an agronomic yield for the second portion of the agronomic field if the second portion of the agronomic field had received the first treatment instead of the second treatment. Based on the computed yield value and the second yield data, the system selects the second treatment.

Abstract: A redriver chip includes a controller and a plurality of circuits coupled to the channel. The controller adjusts a set of parameters of the plurality of circuits to have first values during a first mode of operation and second values during a second mode of operation. The first values generate a first level of power consumption during the first mode of operation, and the second values generate a second level of power consumption during the second mode of operation. The first level of power consumption is lower than the second level of power consumption, and the first mode of operation corresponding to a low-power mode of the redriver chip.

Abstract: An integrated sensor and service port for HVAC (heating, ventilating, and air conditioning) equipment or an HVAC system. The integrated sensor and service port may comprise an anti-blowback mechanism.

Abstract: An input terminal connected to both a terminal of the first device outputting a signal including a period of a low voltage greater than or equal to a predetermined period and a terminal of the second device outputting a periodic signal alternately repeating a high voltage and a low voltage less than the predetermined period via one signal line is included. When a signal input to the input terminal includes a period of a low voltage greater than or equal to the predetermined period, it is determined that a signal output from the first device is input.

Abstract: The present invention relates to a system and method of manufacturing a mouth piece by 3D printing a 3D printer readable file encoding the mouth piece, the method comprising steps of: obtaining a scan file comprising physical data representing a user's teeth and gum line using 3D scanner means (100); removing outlier data from physical data in the scan file; generating representative geometrical data of the curvature of the user's teeth and gum line from the physical data; generating a virtual base model representing a mouth piece from the physical data and the representative geometrical data, the virtual base model having customisable dimensions (101); removing selected regions from the mouth piece represented by the virtual base model (102); and from the virtual base model, generating the 3D printer readable file encoding the mouth piece for printing on 3D printing means (103).

Abstract: A multimedia computer system is concealed within a plurality of kitchen cabinets and components. At least one (1) upper cabinet door is provided with a flat screen digital display, configured to transmit different information or backgrounds, while images can be continuously spread across adjacent screens. Each display may be touch sensitive and may be provided with whiteboard functionality. Both a hidden and wireless keyboard and mouse and a voice control are provided to operate the kitchen. Low profile speakers are disposed throughout the kitchen to provide audio output, while video cameras provide for facial recognition, video conferencing, and/or security. The system is also compatible with video gaming.

Abstract: Certain examples relate to generating output print data representing at least one object. Output print data is generated by performing a geometric transformation on a part of object model data representing the identified region. The object model data represents the at least one object to be printed. The geometric transformation may use a transformation parameter which is determined based at least on the object model data and object property data. The object property data identifies a region of the at least one object and associates it with a selected physical property.