Abstract: An apparatus and method for waking up a main processor (MP) in a low power or ultra-low power device preferably includes the MP, and a sub-processor (SP) that utilizes less power than the MP to monitor ambient conditions than the MP, and may be internalized in the MP. The MP and SP can remain in a sleep mode while an interrupt sensor monitors for changes in the ambient environment. A sensor is preferably an interrupt-type sensor, as opposed to polling-type sensors conventionally used to detect ambient changes. The MP and SP may remain in sleep mode, as a low-power or an ultra-low power interrupt sensor operates with the SP being in sleep mode, and awakens the SP via an interrupt indicating a detected change. The SP then wakes the MP after comparing data from the interrupt sensor with values in storage or with another sensor.

Abstract: A power trading system of virtual power plant includes a plurality of virtual power plants connected to a power system and including a distributed energy resource; a heat conversion device connected to the power system and converting the power generated from the plurality of distributed energy resources into thermal energy; and a power trading device configured to analyze an excess and insufficient power amount of the plurality of virtual power plant due to an output variation of the distributed energy resource, control power trading between the plurality of virtual power plant, the power system, or the heat conversion device by using the analysis result of the excess and insufficient power amount to stabilize the output of the power system and the virtual power plant.

Abstract: A processing unit of a command generation device which is provided separately from a general-purpose inverter, performs following processing. A rotation calculation unit calculates a value relating to a rotation of a rotor of a virtual power generator when the virtual power generator is driven according to an active power command based on a rotor model that simulates a driving of the virtual power generator and calculates a value relating to the rotation of the rotor of the virtual power generator and an active power command. A target determination unit determines a target value of a voltage frequency and a target value of an active power based on the calculated value relating to the rotation. A command generation unit generates a control command for the inverter based on the determined target value of the voltage frequency and the target value of the active power.

Abstract: A system includes a first subsystem configured to produce a resource by consuming electricity, a second subsystem configured to produce the resource by consuming a fuel, and a controller. The controller is configured to determine an allocation of a predicted demand for the resource over a future time period between the first subsystem and the second subsystem based on a first carbon emissions rate associated with off-site production of the electricity and a second carbon emissions rate associated with on-site consumption of the fuel. The controller is also configured to control the first subsystem and the second subsystem to produce the resource in accordance with the allocation during the future time period.

Abstract: Methods for active data center management by injecting randomized controlled signals in the operational controls of the cooling infrastructure of the data center and receiving response signals corresponding with the injected signals. The injected signals are used to adjust the operational controls of the cooling infrastructure, and the response signals relate to the operational conditions in the data center. Based upon the response signals along with independent and external variables, the randomized signals are continually injected into the cooling infrastructure and fine-tuned based upon the response signals. Optimum or improved parameters for controlling the cooling infrastructure of the data center are determined based upon the signal injections and corresponding responses.

Abstract: An overcurrent protection system for a mobile irrigation system. The overcurrent protection system includes a number of control panels each including a controller configured to generate a motor control signal for activating one of the motors of the mobile irrigation system, transmit the motor control signal to the motor, determine a current magnitude of electrical current passing through a motor power branch line electrically connected to the motor, and restrict current to the motor if the current magnitude is above a current magnitude threshold. The controller is further configured to set the current magnitude threshold according to one of a plurality of motor operation stages. The current magnitude threshold can also be set remotely.

Abstract: A virtual power plant system using a renewable combined heat and power plant includes a plurality of distributed energy resources connected to a virtual power plant; a virtual power plant output adjustment device connected to the virtual power plant and including a renewable combined heat and power plant that produces electricity using a new and renewable energy source; and a virtual power plant management device configured to conduct a bidding by predicting an power generation amount of the plurality of distributed energy resources, analyze output variation and error of the virtual power plant based on the power generation amount of the plurality of distributed energy resources, and stabilize an output variation of the virtual power plant by controlling a power generation amount of the virtual power plant output adjustment device.

Abstract: A method for configuring an industrial automation system for internet-of-things accessibility involves a computing device which a) receives a first user input indicative of a functional object representing one or more low-level devices and/or automation devices and/or supervising and production control devices. The computing device also b) receives) a second user input indicative of a cloud object representing a cloud service provider being external to the industrial automation system. The computing device further c) receives a third user input indicative of a user terminal object representing a user terminal device being external to the industrial automation system. The computing device then d) causes the cloud service provider to enable communication between the user terminal device and at least one of the devices in the industrial automation system as represented by the functional object via the cloud service provider.

Abstract: A production equipment monitoring system 20 including: an anomaly index determination unit 23 determining an anomaly index a of a production equipment 10, based on a feature quantity obtained from an equipment information on the production equipment 10; a relevance determination unit 24 determining a degree of relevance D between each of anomalous conditions predicable to occur in the production equipment 10 and an observed condition of the production equipment 10; a detection threshold determination unit 25 determining a single detection threshold th for detecting a degree of anomaly A of the production equipment 10, based on anomaly thresholds at which are thresholds of the anomaly index a corresponding respectively to the anomalous conditions, and on the degree of relevance D; and an anomaly degree detection unit 26 detecting the degree of anomaly A of the production equipment 10, based on the anomaly index a and the detection threshold th.

Abstract: A method synchronizes a plurality of mobile devices from different vendors by pairing mobile devices with a hub; positioning the hub in an area accessible to group members; automatically copying data structures with characteristics of the mobile device and extracting data from the mobile devices when each of the group members are within a range of the hub; uploading the copied data structures to a remote server; parsing the data based on each respective mobile manufacture data structure; and synchronizing user data with a cloud database. In implementations, the method can be used for fitness training of teams or for selecting optimal team members for a task. The hub's awareness of connected devices in a building can be used to reduce energy consumption by turning off building sectors based on occupants therein.

Abstract: Temporary outages or degradation of a resource, such as electric power, may be detected by identifying anomalies in waveform data collected by collection points. The collection points may be distributed throughout a resource distribution system and configured to communicate data to a headend system. The headend system processes the data to identify anomalies and to correlate waveform data collected by different collection points. The geographic locations of the collection points with correlated data are used to identify a geographic region. An unmanned aerial vehicle may be used to conduct an inspection of the geographic region and to collect inspection data. The inspection data may be communicated to the headend system. The waveform data and the inspection data may be used to determine the correct resources to deploy to address the cause of the anomaly.

Abstract: The invention discloses a power feedback control system and method of MGP system, including detecting the actual active power sent by the generator to the grid through the measurement and calculation module; making a difference between the measured active power and the given active power; calculating frequency regulation amount through the PI regulation module according to the difference, and taking it as feedback; calculating the frequency reference value of the converter in the control system; through the adjustment module adjusts finely the frequency of the converter and adjust the phase difference of frequency modulation to achieve controlling power output, so when the new energy predicts its output power based on power feedback control using MGP before connecting to grid, the output of the control system will not delay and affect the stability and reliability of the control system, ensuring the smooth introduction of new energy grid-connected methods.

Abstract: An electronic device includes a plurality of loads, at least one processor, a plurality of regulators configured to adjust a voltage of power received from a power source and output the adjusted power, and a switching circuit configured to connect at least one of the plurality of regulators to at least one of the plurality of loads. The at least one processor is configured to identify a load to which power is to be supplied among the plurality of loads, select at least one regulator among the plurality of regulators connectable to the identified load, and control the switching circuit to connect the at least one selected regulator to the identified load.

Abstract: Example implementations relate to process capability procedures for additive manufacturing machines. One example implementation receives and prints two objects with corresponding process values for a set of process parameters within two build regions of the build volume. Measurements are made of each object comprising print parameters and a dataset comprising data representing the process values associated with the print parameters and data representing the second process values associated with the second print parameters is generated.

Abstract: A method for manufacturing an orthopedic product for a body part of a patient is disclosed, the method comprising the following steps: a) providing body-part data containing information about an internal structure of the body part, b) detecting a current line of vision from which a user of the method sees the body part, c) displaying the body part data from the current line of vision by means of the display device so that the user sees the body part and the body part data superimposed, d) generating production data for the orthopedic device on the basis of the displayed data and e) providing an orthopedic product manufactured on the basis of the production data.

Abstract: A method for operating a door actuator of a door system, having at least one movable door leaf and having a control device, and having a sensor unit, configured to detect people in a region before the door system, and transmits information about the people to the control device, includes at least the following steps: detecting a first person and, calculating the probable arrival time thereof at the door leaf, calculating first control parameters to actuate the door leaf in relation to the first person, and detecting at least one second person, and calculating the probable arrival time thereof, calculating second control parameters to actuate the door leaf in relation to the second person, linking the first control parameters with the second control parameters to form a first control parameter set, and controlling the drive of the door leaf on the basis of the set.

Abstract: The present invention refers to a cooling control system and method for electrical equipment (10) and the electrical equipment (10) with controlled cooling, wherein the use of at least one cooling means (15) is dynamically considered, according to the operation of the electrical equipment (10) whose aging is determined mainly through a life balance (LB), which is, in turn, used to determine a selective activation for the cooling means (15), thus ensuring a continuous use lifetime specified by its manufacturer, while at the same time optimizing the lifespan of the cooling means (15), preserving it as much as possible while maintaining the lifespan of the electrical equipment (10) at a predetermined aging calculated through lifespan balance, avoiding unnecessary operating expenses for maintaining the cooling system.

Abstract: A dual-loop low-drop (LDO) regulator having a first loop which is an analog loop that compares the voltage on the output supply node with a reference, and generates a bias or voltage control to control a strength of a final power switch. The first loop regulates the output voltage relative to a reference voltage by minimizing the error between the two voltages. A second loop (digital loop) that controls a current source which injects current on the gate of the final power switch to boost current for a load. The second loop is an auxiliary loop that boosts the current load for a set interval until the tracking bandwidth of the LDO resolves the error in the output, thereby reducing the peak-to-peak noise. The quiescent current is not increased a lot by the second loop since the second loop circuit is on for a fraction of the entire LDO operation.

Abstract: An adaptive modeling method for generating misregistration data for a semiconductor device wafer (SDW) including calculating a fitting function for a group of SDWs (GSDW) having units, including measuring an SDW in said GSDW, thereby generating test data sets corresponding to the units, removing non-unit-specific values (NUSVs) from the test data sets, thereby generating cleaned test data sets, and analyzing the cleaned test data sets, thereby generating the fitting function, and generating misregistration data for at least one additional SDW (ASDW) in the GSDW, including measuring the ASDW, thereby generating run data sets, removing NUSVs from the run data sets, thereby generating cleaned run data sets, fitting each of the cleaned run data sets to the fitting function, thereby generating coefficient sets, and calculating misregistration data for the ASDW, at least partially based on the fitting function and the coefficient sets.

Abstract: A method and system for predicting regional short-term energy power by taking weather into consideration includes: obtaining meteorological data of all moments in a set time in the future through a network; extracting respectively, from a historical database according to the obtained meteorological data, historical weather station meteorological data, historical network API meteorological data, and historical measured power generation power data within a set time period that meet meteorological conditions corresponding to all the moments; obtaining historical total error data; obtaining real-time error meteorological data; obtaining total error meteorological data; combining the obtained meteorological data of all the moments in the set time in the future with total error meteorological data of all the moments to obtain predicted meteorological data; obtaining predicted power data according to the predicted meteorological data; and optimizing an energy generation plan of a system according to the obtained pre