Abstract: Methods and systems are described that improve simulations which use thermal models to test dynamic thermal mitigation of devices, such as smartphones. These methods and systems can use a thermal Reduced Order Model (ROM) that is trained through machine learning to provide efficient systems that can significantly reduce the time and computational resources required to build a simulation of a device's thermal behavior. The thermal model can be used in different usage scenarios with different power management and thermal management controls to test the device's thermal behavior.

Abstract: Provided are a method for managing usage time of an IoT device, and an apparatus therefor. According to the disclosure, a method for managing usage time of an IoT device which flexibly controls a standby mode of an IoT device according to a user's selection, and which enables a user to select an operation method of a standby mode by using an application for minimizing power consumption of an IoT device, and an apparatus therefor are provided.

Abstract: An uninterruptible power system includes a power converting engine, a UPS control circuit, and a control display circuit. The control display circuit is detachable, the control display circuit is detachably mounted on the UPS control circuit through at least a connection between the control output interface and the display input interface. When the control display circuit is detached from the UPS control circuit, the control display circuit communicates with the UPS control circuit in a wireless communication manner.

Abstract: A device that is communicating with other devices via a common bus discovers addresses of the other devices. The device transmits data to the other devices at a transmit time determined based on the addresses of the other devices. The device predicts receive times at which data will be received from the other devices and determines the transmit time based on predicted receive times, avoiding data collisions. The devices may include universal sensor data acquisition devices (“USDADs”) that are each connectable to different types of sensors arranged within a server rack. Each USDAD determines a type of a connected sensor that is within a server rack and collects sensor data from the connected sensor.

Abstract: In some embodiments, a PPM interface for a computing platform may be provided with functionality to facilitate, to an OS through the PPM interface, firmware performance data.

Abstract: Examples for setting a system state as one of wakeable through a trigger and non-wakeable, are described. In one example, a value of an enabling time interval is obtained. Thereafter, it is determined if the enabling time interval has elapsed since the computing device has been in a low powered mode. Based on the determining, a system state is set as one of wakeable and non-wakeable through a trigger.

Abstract: Example systems, apparatus, and methods receive audio information including a plurality of frames from a source device, wherein each frame of the plurality of frames includes one or more audio samples and a time stamp indicating when to play the one or more audio samples of the respective frame. In an example, the time stamp is updated for each of the plurality of frames using a time differential value determined between clock information received from the source device and clock information associated with the device. The updated time stamp is stored for each of the plurality of frames, and the audio information is output based on the plurality of frames and associated updated time stamps. A number of samples per frame to be output is adjusted based on a comparison between the updated time stamp for the frame and a predicted time value for play back of the frame.

Abstract: A prescription management system is used by an orthodontic or dental lab and a plurality of prescribing users who send prescriptions for customized orthodontic or dental appliances to the lab. The prescriptions are stored in a database selectively accessible by the lab and plurality of prescribing users. A digital workspace is provided in the system in which the lab or prescribing users may create designs for the customized appliances. The designs of the appliances are stored in the database. A tracking record of fabrication of the appliances is stored in the database. A plurality of billings are simultaneously generated in response to the submissions and storage of the prescriptions, the designs of the customized appliances and the fabrication of the designed customized appliances.

Abstract: Systems, apparatus, and methods measure a signal provided by a capacitance sensor, the signal indicative of a presence of an object proximate to the capacitance sensor. Responsive to measuring the signal, embodiments access control information in a memory to determine whether the signal is associated with a first qualifying event of the control information. Responsive to determining that the signal is associated with the first qualifying event, embodiments control a power consumption of a communication device.

Abstract: A fault prediction system includes a machine learning device that learns conditions associated with a fault of an industrial machine. The machine learning device includes a state observation unit that, while the industrial machine is in operation or at rest, observes a state variable including, e.g., data output from a sensor, internal data of control software, or computational data obtained based on these data, a determination data obtaining unit that obtains determination data used to determine whether a fault has occurred in the industrial machine or the degree of fault, and a learning unit that learns the conditions associated with the fault of the industrial machine in accordance with a training data set generated based on a combination of the state variable and the determination data.

Abstract: An electronic device configures the electronic device to operate in a first mode, when the current time is with a first scheduled sleep time period, and user input selecting an affordance using a first input mechanism is disabled in the first mode. While in the first mode, detecting first user input. The electronic device transitions the electronic device into a second mode different from the first mode if the first user input meets predefined criteria, and remains in the first mode and forgoes transitioning to the second mode if the first user input does not meet the predefined criteria.

Abstract: A demand response method, a demand response system, and a recording medium are provided. The response control method includes: determining priorities of devices to be controlled to participate in a demand response; generating respective participation profiles for the devices based on the determined priorities; and changing the priorities of the devices included in the participation profiles, based on whether participation in the demand response according to the generated participation profiles succeeds. Therefore, the user easily participates in the demand response, and thus energy can be saved.

Abstract: A system and method for executing a sequence of functions by at least one microcontroller operable in a battery-less internet of things (IoT) device. The IoT device includes: at least one microcontroller configured to execute one or more pre-programmed sequences; a sequencer configured to retrieve, from a cloud server, at least one flow, wherein the at least one flow indicates: an order of the pre-programmed sequences to be executed, and which of the at least one microcontroller are to execute each of the pre-programmed sequences; and an energy storage.

Abstract: A control system for a heating, ventilation, and/or air conditioning (HVAC) system includes a controller. The controller is configured to control the HVAC system to condition an air flow based on first feedback from a first sensor of the HVAC system, receive second feedback from a second sensor of the HVAC system, and control the HVAC system to condition the air flow based on the second feedback instead of the first feedback when the first feedback from the first sensor being no longer available. The first feedback is indicative of a first operating parameter of the HVAC system, and the second feedback is indicative of a second operating parameter of a refrigerant flowing through the HVAC system.

Abstract: Aspects of the present disclosure relate to power bridge circuitry comprising a first interface configured to interface with a source power domain; a second interface configured to interface with a target power domain; transition circuitry to receive a transition indication that the power bridge circuitry is to transition to an idle state; communication circuitry to communicate messages between the interfaces; and message identification circuitry to identify messages communicated by the communication circuitry, the identification circuitry being configured to detect the communication of a given message directed to a target component connected to the second interface and indicating cessation of communication between the target component and a source component connected to the first interface.

Abstract: To provide an abnormality determination apparatus, a computer readable medium, an abnormality determination system and an abnormality determination method which can simply detect an abnormality of a temperature in a machine tool without incurring cost. An abnormality determination apparatus which determines abnormality of a temperature sensor in a plurality of machine tools, in which the plurality of machine tools is equivalent machine type, is arranged in equivalent environments, are provided with a temperature sensor at equivalent positions, the abnormality determination apparatus including: a temperature data acquisition unit which acquires temperature data outputted by the temperature sensors from each of the plurality of machine tools; a comparison unit which compares the temperature data acquired by the temperature data acquisition unit; and an abnormality determination unit which determines abnormality of the temperature sensor based on a comparison result by the comparison unit.

Abstract: Examples are described that generate control data for production of a three-dimensional object. Build material profile data is accessed for an indicated build material. The build material profile data for a given build material defines one or more parameter values that are dependent on the properties of the given build material and that are configured to generate a three-dimensional object with predefined build properties.

Abstract: Methods, systems, and devices for power domain switches for switching power reduction are described. A device, such as a memory device, may receive an indication (e.g., a command) for a power domain component of the device to transition between states. The device may float first and second gate drivers. A pass gate may be used to connect (e.g., short) the first switch to the second switch. The pass gate may be deactivated to isolate the gates. The first and second gate drivers may be enabled, and the first and second gate drivers drive the first and second switches to disconnect the power domain component from a power source to deactivate the power domain component, or connect to the power source to activate the power domain component. The energy to switch between active and inactive states may thereby be reduced.

Abstract: For power management in a disaggregated computing system, upon detecting an electrical power reduction to the disaggregated computing system, respective workloads being performed by respective processors within a set of processors are prioritized according to a service level agreement (SLA) of the respective workloads. Backup electrical power is dynamically allocated to the respective processors performing the respective workloads based upon a priority of the SLA of the respective workloads.

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.