Abstract: In an embodiment, a system includes a profiler configured to detect variations along a surface of a semiconductor stage; and a jig configured to move the profiler along an axis over the semiconductor stage.

Abstract: A system comprising a computer-readable storage medium storing at least one program and a method for determining, tracking, and anticipating risk in a manufacturing facility are presented. In example embodiments, the method includes generating a risk data model for the manufacturing facility based on correlations between historical staffing conditions of the manufacturing facility and deviations from existing manufacturing procedures. The method further includes receiving projected operational data that includes information related to anticipated future staffing conditions of the manufacturing facility. The method further includes calculating a risk score based on the projected operational data using the risk data model. The method further includes causing presentation of a user interface that includes a display of the risk score.

Abstract: The measured value of a rubber temperature parameter that is related to the temperature of a rubber material to be kneaded by a mixing machine 2 and measured values of correlation parameters that have a correlation with a change in the value of the rubber temperature parameter are acquired. The measured values are assigned to an operational control parameter-calculation model equation, which is modified from a rubber temperature parameter-calculation model equation including operational control parameters and the correlation parameters, and a constant and coefficients of the operational control parameters and the correlation parameters are calculated using a machine learning algorithm.

Abstract: An outdoor unit of an air-conditioning apparatus includes an outdoor unit main body, a compressor, an outdoor heat exchanger, an outdoor fan, an outdoor air temperature detection unit, and a control unit. The control unit stores an outdoor air temperature that is detected when the outdoor unit main body receives an operation stop signal, a temperature determination unit configured to determine whether the outdoor air temperature stored in the storage unit is less than a temperature threshold value when the outdoor unit main body receives an operation start signal, and an operation timing setting unit configured to select an operation mode of the compressor based on an outdoor air temperature detected by the outdoor air temperature detection unit after operation of the outdoor fan is resumed in a case where the temperature determination unit determines that the outdoor air temperature is less than the temperature threshold value.

Abstract: A system and method for managing vehicle charging stations such that when at least two of a plurality of electric vehicle charging stations (also known as electric vehicle service equipment, or EVSE) occupied with vehicles awaiting a charge, the present system manages the charging of individual vehicles in cases where the aggregated demand for charging exceeds the capacity of the circuits supplying the plurality of EVSE. By cycling so that only a few of the vehicles are charging at a time, the demand on the circuits is kept below a predetermined limit. In cases where a load shedding event is in progress, the limit can be further reduced. In cases where the cost of electricity is varying dynamically, the system considers a driver's explicit charging requirements (if any) and preferences for opportunistic charging when the price of electricity is not too high.

Abstract: The present invention is directed to an improved method for supporting an object made by means of stereo lithography or any other rapid prototype production method. The generation of the support begins by determining the region that requires support in each layer of the object and defines a number of support points in this region. In a next step, a support mesh is generated connected to the object using these support points. The present invention also discloses different techniques that reduce superfluous edges to further optimize the support mesh. Finally, a support is generated from this support mesh. The present invention may facilitate the generation of supports data by employing more automation and less user analysis.

Abstract: In disclosed techniques, augmented power control within a datacenter uses predictive modeling. A power usage by a first data rack within a datacenter is measured, using one or more processors, over a first period of time. A predicted power usage by the first data rack over a second period of time is generated on a computing device, wherein the second period of time is subsequent to the first period of time. A power correlation model is calculated that correlates a power prediction to an actual power usage. The predicted power usage for the second period of time is refined, based on the predicted power usage and the power correlation model. The refining is accomplished using a power prediction model comprising the predicted power usage and the power correlation model. Datacenter power structure is configured, based on the refined power usage prediction.

Abstract: A filter module analysis system configured for the analysis of a filter module having a filter element contained within a housing, the housing having an inlet, a clean outlet and a waste outlet. A clean outlet sensor assembly can be provided about the clean outlet, and a waste outlet sensor assembly can be provided about the waste outlet. A data collection and network communication mechanism can be configured to receive process and receive data from the clean and waste outlet sensor assemblies and transmit the data over a network to a server form storage and processing filter module statuses based on flow detected flow parameters.

Abstract: The disclosure provides a stochastic look-ahead dispatch method for power system based on Newton method, belonging to power system dispatch technologies. The disclosure analyzes historical data of wind power output, and uses statistical or fitting software to perform Gaussian mixture model fitting. A dispatch model with chance constraints is established for system parameters. Newton method is to solve quantiles of random variables obeying Gaussian mixture model, so that chance constraints are transformed into deterministic linear constraints, thus transforming original problem to convex optimization problem with linear constraints. Finally, the model is solved to obtain look-ahead dispatch. The disclosure employs Newton method to transform chance constraints containing risk level and random variables into deterministic linear constraints, which effectively improves model solution efficiency, and provides reasonable dispatch for decision makers.

Abstract: A wind farm supervision monitoring method includes: displaying, by a user interface (UI) unit, a location of the site server on a map along with a dashboard menu, a navigation menu, and an alarm & event menu; collecting, by a data collection unit, data about status monitoring of each wind turbine from the site server; detecting, by an abnormality status detection unit, an abnormality status of each wind turbine based on the data about the status monitoring of each wind turbine and issuing an alarm based on the detecting the abnormality status; providing, by a supervision unit, a turbine operation status of each wind turbine using the dashboard menu, managing operation and maintenance; and establishing, by the supervision unit, an operation and maintenance plan for the detected abnormality status of the wind turbine.

Abstract: A method of setting a shaping machine includes identifying values for setting parameters, which setting parameters at least partially establish control of controllable components of the shaping machine during the shaping process. A plurality of simulations of the shaping process are performed on the basis of a first parameter and a second parameter. The first parameter describes physical factors of the shaping process. The second parameter is suitable as a basis for at least one of the setting parameters of the shaping machine. The simulation is carried out on the basis of various combinations of values of the first parameter and the second parameter. Values of at least one quality parameter are calculated from results of the simulations for the various combinations of values of the first parameter and the second parameter.

Abstract: An equipment control device includes a person region detector that receives a thermal image corresponding to an object of image capture and detects a person region that is a region occupied by a person in the thermal image, a person feature detector that calculates basal metabolism of the person, based on a thermal image part of the person region in the thermal image, and an equipment controller that controls equipment, based on the basal metabolism of the person detected by the person feature detector.

Abstract: The purpose of the present invention is to provide a recipe creation device, with the goal of using past recipe data in order to highly efficiently create recipes. As an embodiment with which to achieve this goal, there is provided a recipe creation device comprising an arithmetic processing device that, on the basis of design data for a semiconductor element, establishes measurement conditions or inspection conditions by a semiconductor measurement device or a semiconductor inspection device, wherein the arithmetic processing device is configured to be able to access a database in which the measurement conditions or inspection conditions, and the pattern information of the semiconductor element, are stored in associated form, and the measurement conditions or inspection conditions are selected through a search using pattern information of the semiconductor element.

Abstract: A data prediction method and apparatus generate plant normal state prediction data based on measurement data of multiple tags and a plant prediction model, to enhance accuracy of anomaly/fault prediction by providing precise prediction data in the normal state even in a plant anomaly/fault condition. The method includes generating primary prediction data by performing primary prediction based on the measurement data and the plant prediction model; selecting an anomalous state tag among the multiple tags, the selected anomalous state tag determined as data of an anomalous state based on measurement data corresponding to the primary prediction data; updating the plant prediction model by using the measurement data of only normal state tags; and generating secondary prediction data by performing secondary prediction based on the measurement data of the normal state tags and the updated plant prediction model. Secondary prediction is performed only when an anomalous state tag is selected.

Abstract: This disclosure includes various systems and methods for determining an operating stage based on electrical conditions in electric power delivery systems and identifying a control strategy based upon the operating stage. The control strategy may be selected and customized to avoid or to ameliorate stresses in an electric power delivery system while maintaining the stability of electric power delivery systems. Various embodiments consistent with the present disclosure may include a distributed controller configured receive a plurality of indications of electrical conditions from a plurality of control devices in electrical communication with the electrical power delivery system. The distributed controller may determine an operating stage from among a plurality of operating stages based upon the plurality of indications of electrical conditions. The distributed controller may further identify a control strategy based upon the operating stage.

Abstract: The present invention is directed to an apparatus for minimizing power consumption in a cooling system. In one embodiment, the apparatus comprises one or more processors, one or more sensors associated with one or more regulated environments and one or more chillers that regulate temperature of the one or more regulated environments and a storage device, coupled to the one or more processors, storing instructions that when executed by the one or more processors performs a method. The method comprises gathering readings from the one or more sensors, determining a cost and power consumption associated with setting values for a plurality of control variables associated with the one or more chiller plants, selecting values for the control variables with a minimum cost as optimized control variable values and applying the optimized control variable values to the plurality of control variables to minimize power consumption of the cooling system.

Abstract: A wireless water timer and valve control system includes a control unit in wireless WiFi communication with a router and a valve unit in wireless communication with the control unit and designed to connect to a faucet. The valve unit includes a valve that is operated wirelessly via a signal received by the control unit.

Abstract: A system for controlling an HVAC system and for monitoring energy usage at a premises is described. The system includes an energy meter at a electrical distribution panel, where the energy meter connected to one or more current transformers monitoring the current in one or more input lines and load lines and collecting current information for each of the monitored lines. The energy meter is further including a wireless radio to transmit the current information. An intelligent thermostat is operable to control the HVAC system at the premises according to environmental data sensed by the intelligent thermostat, and to receive the current information from the energy meter and to transmit the current information to a remote server for processing. A remote server is operable to process the current information from the energy meter by applying a scaling factor to the current information to determine energy usage.

Abstract: A numerical controller which performs program restart after machining is stopped in the middle of a machining cycle is provided with a program restart unit. The numerical controller can use the program restart unit to acquire a restart position located in a machining area defined by the machining cycle, create a new machining area by dividing the defined machining area in the restart position, and restart the machining for the new machining area.

Abstract: Methods and systems for determining an optimized set point for a manufacturing apparatus are described. In an example, a processor may receive observed data from the manufacturing apparatus. The observed data may include data collected by the manufacturing apparatus based on at least one resolution. The processor may generate feature data based on the observed data. The processor may determine a first model and a second model based on the feature data. The first model may relate to a first prediction of a key performance indicator of the manufacturing apparatus in a first amount of future time. The second model may relate to a second prediction of the key performance indicator of the manufacturing apparatus in a second amount of future time. The processor may determine the optimized set point based on an objective relating to the first model and based on a constraint relating to the second model.