Abstract: A control device calculates a specified quantile in stored data relating to a load applied on a spindle, as a target spindle load, and controls a feed speed of the spindle as to a work, so that the measured load applied on the spindle is the calculated target spindle load. A user can set the target spindle load with the load on the spindle measured in a state in which the work is being stably machined as a reference.

Abstract: An example operation may include one or more of receiving a software update at a transport of a subset of transports, validating the software update based on one or more of: a period of time when the software update is in use, and a number of utilizations of the software update by the subset of the transports, propagating the software update based on the validating, to a further subset of transports, wherein the further subset of the transports is larger than the subset of the transports.

Abstract: A method for minimizing undesired movement of a moving mass of an electromagnetic load may include detecting undesired movement of the moving mass based on real-time measurements of one or more parameters associated with the electromagnetic load and, responsive to detecting undesired movement of the moving mass, affecting a signal applied to the moving mass to reduce the undesired movement.

Abstract: An information handling system executing a software test suite green data center policy generation system comprising a network interface device receiving data center hardware utilization analytics and a software test suite identifier for a selected software test suit and a processor to identify a reserved capacity of the data center processing system reserved for general execution of software test suites according to general quality of service requirements for input/output commands and to predict a future data center processor utilization rate and execution duration for the selected software test suite by forecasting actual use of data center resources during a future execution of the selected software test suite that is below the reserved capacity, and the network interface device to transmit an instruction to throttle power supplied to an over-allocated portion of the data center resources from the reserved capacity duration execution of the selected software test suite.

Abstract: An information handling system of an orchestrating Internet of Things (IoT) gateway executing a carbon dioxide (CO2) minimizing IoT edge gateway data processing orchestration system comprises a network interface device receiving processed IoT sensor data generated by alteration of unprocessed IoT sensor data via access point (AP) IoT servers executing a common data processing method, a processor executing code instructions to determine that an initial volume of CO2 emitted per unit of processed sensor data transferred from the AP IoT servers to a cloud platform, via the orchestrating IoT gateway in an enterprise wide area network, is greater than an adjusted volume of estimated CO2 that would be emitted per unit of data if the common data processing method were performed at the orchestrating IoT gateway instead of the AP IoT servers, and transmitting an instruction to cease execution of the common data processing method at the AP IoT servers.

Abstract: A method for determining a water treatment plan for produced water includes receiving sample water analysis for the produced water, and receiving one or more key performance indicators (KPIs) that each indicate a selected treatment result for the produced water. In addition, the method includes providing the sample water analysis and the KPIs to a machine learning model and determining a water treatment plan for the produced water using the machine learning model, wherein the water treatment plan comprises one or more additives for the produced water that are to provide the produced water with the KPIs.

Abstract: Systems and methods are disclosed for identifying resources responsible for events. In one embodiment, a method may include determining a number of unique actors in a plurality of actors that have accessed the resource. The method may further include identifying from the plurality of actors a set of affected actors that has been affected by an event and identifying from the set of affected actors a subset of resource-affected actors that accessed the resource prior to being affected by the event. The method may further include determining a number of resource-affected actors in the subset of resource-affected actors and, based on the number of unique actors and the number of resource-affected actors, determining an event score for the resource. The event score may be a lower bound of a confidence interval of a binomial proportion of the number of resource-affected actors to the number of unique actors.

Abstract: An assembly includes a movable laser projector configured to project images and to also act as a mapping apparatus such as a LIDAR apparatus configured to generate a data structure representing a three-dimensional map of a space. A head mount (HM) includes a camera to generate signals representing the gaze direction of the wearer of the HM. The laser projector moves according to the signals to project images in the space using the data structure generated by the mapping apparatus.

Abstract: A service monitoring system receives receiving, via a user interface, an identification of a service of an information technology environment, and causes display of a plurality of key performance indicators (KPIs) in the user interface. Each KPI of the plurality of KPIs indicates a measure of performance for the service. The service monitoring system receives, via the user interface, an identification of a time period, and an identification of one or more visual characteristics for KPI graph lanes. Each of the KPI graph lanes is indicative of one or more KPI values of a respective KPI of the plurality of KPIs, the one or more KPI values are obtained from execution of a search query associated with the respective KPI, and the search query uses the time period to obtain the one or more KPI values. The service monitoring system causes display of a plurality of KPI graph lanes based on the one or more visual characteristics.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to optimize a guard band of a hardware resource. An example apparatus includes at least one storage device, and at least one processor to execute instructions to identify a phase of a workload based on an output from a machine-learning model, the phase based on a utilization of one or more hardware resources, and based on the phase, control a guard band of a first hardware resource of the one or more hardware resources.

Abstract: A method for estimating the overall wear of a tire having a crown, the crown comprising a tread having a mean thickness E, the tire delimiting an internal cavity, comprises the following steps: acquiring a transfer function F of the tire on a reference ground depending on influencing factors and the thickness E; acquiring a passage function ? of the mounted assembly, said passage function being defined for a section of road; and in a measurement cycle, determining a force FX and a rate of slip g % at the wheel center of the tire, when running in a straight line involving variations in acceleration on the dry section of road; determining a load Z1 experienced by the mounted assembly; determining a temperature T1 of the mounted assembly; and determining an inflation pressure P1 of the internal cavity.

Abstract: A method for determining an optimal dose of coagulant for raw water includes a step of determining a value, for the raw water, of a first organic parameter; a step of determining a value, for the raw water, of a second mineral parameter; a step of determining a class of water for the raw water, characterized by the value of the first organic parameter and the value of the second mineral parameter; a step of determining a value, for the raw water, of a third organic parameter; a step of defining a target value, for the clarified water, of the third organic parameter; a step of selecting a function between the third organic parameter and an added dose of coagulant, said function being selected for the class of water and for the value, for the raw water, of the third organic parameter; a step of using the function to determine a first dose of coagulant in order to reach the target value.

Abstract: A computing system identifies mitigation actions in response to failures within a computer network. A service level objective is obtained by the computing system for client-resource data flows traversing the computer network between client-side and resource-side nodes. Indication of a failure event at a network location of the computer network is obtained. For each mitigation action of a set of candidate mitigation actions, an estimated impact to a distribution of the service level objective is determined for the mitigation action by applying simulated client-resource data flows to a network topology model of the computer network in combination with the mitigation action and the failure event. One or more target mitigation actions are identified by the computing system from the set of candidate mitigation actions based on a comparison of the estimated impacts of the set of candidate mitigation actions.

Abstract: A fan unit reduces the number of man-hours for a preliminary test and eliminates the need for a trial run at the time of duct connection are realized. A second controller acquires: a rotation speed of a fan motor of a second fan; a volume of air, a wind speed, or front-rear differential pressure of the second fan; and an air volume target value or a wind speed target value for the second fan, and calculates a rotation speed target value Ny for the fan motor 31b by using a first function: Ny=(Qy/Qx)2×?Px×{m×(Qy/Qx)×Vx+p}+n×(Qy/Qx)×Vx+q. Furthermore, when the front-rear differential pressure fluctuates and the wind speed is decreased from Vt to V, the second controller calculates a rotation speed change amount to the rotation speed target value by using a second function: ?N=a×(Vt?V).

Abstract: A method for predicting operation effectiveness of a decentralized sewage treatment facility by using a support vector machine, comprising: simultaneously collecting an influent conductivity and an effluent conductivity, and recording operation effectiveness of the decentralized sewage treatment facility; training a training set by using the support vector machine, with the influent conductivity and effluent conductivity as input and the operation effectiveness of decentralized sewage treatment facilities as output, so as to construct a prediction model for the operation effectiveness of decentralized sewage treatment facilities; and collecting the influent conductivity and effluent conductivity of the treatment facilities to be predicted, and inputting them into the prediction model to obtain a predictive result. The method is not only highly accurate, but fast and inexpensive.

Abstract: A source-network-load-storage coordination dispatching method in a background of a coupling of renewable energy sources, including: taking an expectation of a minimum grid operating cost in a dispatching cycle as an objective function; generating an approximate value function of an output of a set for generating electricity from renewable energy sources and a user load, and constructing a source-network-load-storage coordination dispatching model with combination of the objective function; obtaining forecast data of the output of a set for generating electricity from renewable energy sources and the user load, and inputting the forecast data into the dispatching model for solving; performing iterative updating on the approximate value function, importing the approximate value function after the iterative updating into the dispatching model for iterative solving, and terminating an iterative process until a solving result satisfies a preset convergence condition; and using a solving result of a last iteration

Abstract: Provided an apparatus configured to calculate a periodicity of the time series data using at least one of a periodogram of the time series data and an autocorrelation of the time series data; generate a plurality of subsequences from the time series data, a length of each subsequence set to the periodicity, calculate feature values of the plurality of subsequences, and categorize the plurality of subsequences, based on the features values thereof, into one or more groups; and execute analysis of the time series data, based on the categorization result.

Abstract: Techniques for detecting anomalies or cyber attacks on a vehicle. A computer-implemented method for anomaly or attack detection includes determining, using a first model, a first predicted value of a first variable message associated with a vehicle, determining, using a second model, a second predicted value of the first variable message associated with the vehicle, determining, based on a difference between an actual value of the first variable message and the first predicted value of the first variable message and on a difference between the actual value of the first variable message and the second predicted value of the first variable message, a vector, and determining, using a third model, an output value based on the vector, the output value corresponding to at least one of a likelihood that an anomaly or an attack is occurring or a type of the anomaly or the attack.

Abstract: A wireless load control system for controlling one or more electrical loads comprises a wireless control device (e.g., a gateway device) able to obtain a present time from a server via a network (e.g., the Internet), control the electrical loads according to a timeclock schedule, and disable the timeclock schedule if the present time is not able to be obtained from the server via the network. The wireless control device may also be able to obtain the present time from a digital message received from an external device (e.g., a smart phone or a tablet device) via the network. The wireless control device may be configured to receive a control signal indicating a power outage (e.g., from a battery backup device), and to operate in a low-power mode in response to receiving the control signal indicating the power outage.

Abstract: An information processing device includes a processor configured to: acquire renewable power generation information from a renewable energy power generation server; acquire at least one of hydrogen power generation information from a hydrogen power generation server and fuel cell information; acquire grid power generation information from a grid power generation server; acquire electric power information from each of a plurality of consumer facilities in a predetermined area, the electric power information being regarding an amount of electric power consumed by the consumer facility; and generate proposal information including information on a type of electric power supplied to a predetermined consumer facility based on at least one of the renewable power generation information, the hydrogen power generation information, and the fuel cell information, the grid power generation information, and a plurality of pieces of the electric power information, and output the proposal information to the predetermined con

Abstract: Method of condition monitoring an industrial asset is described. The method involves collecting one or more of process variables associated with the industrial asset. Determining abnormal operating conditions for the one or more process variables. Providing a graphic monitoring of the industrial asset, wherein the graphic monitoring visually represents part or portion of the industrial asset operating in abnormal operating conditions.

Abstract: An example operation may include one or more of receiving a software update at a transport of a subset of transports, validating the software update based on one or more of: a period of time when the software update is in use, and a number of utilizations of the software update by the subset of the transports, propagating the software update based on the validating, to a further subset of transports, wherein the further subset of the transports is larger than the subset of the transports.

Abstract: Embodiments of the present disclosure relate to methods, systems and computer program products for causal analysis. In some embodiments, there is provided a computer-implemented method. The method comprises determining, from observation samples of a plurality of factors, a first causal structure indicating a first causal relationship among the plurality of factors, each observation sample including a set of observation values of the plurality of factors; presenting the first causal structure to a user; in response to receiving at least one user input about the first causal structure from the user, executing actions associated with the at least one user input based on the first causal structure; and presenting a result of the execution of the actions to the user. In other embodiments, another method, systems and computer program products are provided.

Abstract: A method for compensation network design in a power converter design system is provided that includes computing optimal values for compensation components in a compensation network based on a plurality of loop specifications comprising crossover frequency (Fco), phase margin (PM), Gain Margin (GM), and low frequency gain (LFG), and applying changes to a power converter design comprising the compensation network based on the optimal values.

Abstract: A system and method for sensor-enabled automated inventory stocking management that can include: operating a computer vision monitoring system comprising collecting image data, and identifying, by processing the image data, products and shelf space locations of the products; maintaining a shelving property map based on the products and shelf space locations identified through the computer vision monitoring system; in association with at least one request, allocating a shelf space usage option within a shelf space management database system, wherein each shelf space usage option specifies fulfillment parameters including at least one product identity and a set of shelf space placement parameters; confirming, based on processing of updated image data from the computer vision monitoring system, fulfillment of conditions defined through the fulfillment parameters of the a shelf space usage option and, in response, performing reactionary actions in the computing system.

Abstract: Methods and systems for managing transportation vessels within an enterprise system are disclosed. In example aspects, based on current inventory levels and transportation vessel constraints, an optimized inventory order may be placed to ensure efficient ordering of an item from a vendor. In some instances, a forward ordering adjustment may be made to efficiently use transportation vessel capacity.

Abstract: Systems and methods for providing metric data for patterns in a modeling environment are disclosed. In some aspects, contexts for generating metric data for a pattern are constructed. The pattern represents one or more computations executable in the modeling environment and associated with operation or behavior of a real-world system. The contexts include information about the pattern. The metric data is associated with one or more objectives with which the use of the pattern is associated. Code for the pattern for each context is generated. Metric data is generated for the pattern and under each context. The metric data of the pattern under each context is associated with the objectives. The metric data and the association are stored for use in providing information about or based on the metric data when the pattern is to be or is used in a model representing the real-world system.

Abstract: A method for noise reduction of a three-phase-driven electrical machine includes recording an angular state of a rotor of the electrical machine, calculating a reference frequency on the basis of the recorded angular state, forming a sine and cosine value of the calculated reference frequency, and filtering the sine and cosine value. The method may also include recording a sound-related feedback variable, forming a weighting vector, forming a superposition signal, and applying the superposition signal to a manipulated variable of the electrical machine.

Abstract: Systems and methods for replaying events involving a transaction are disclosed.

Abstract: Systems and methods for prioritizing trailers can include receiving a list of trailers at a distribution center, determining, for each trailer, an aggregate inventory readiness date, and ranking, into a high priority list, one or more trailers of the trailers that contain high priority items. The method can also include ranking, into an inventory readiness date list, one or more trailers of the trailers that were not added to the high priority list based on the aggregate inventory readiness date of each trailer, selecting, from the inventory readiness date list, trailers having the same aggregate inventory readiness date, ranking those trailers into a store need list based on one or more of the trailers containing needed items. The method can also include generating a trailer unload prioritization list based on combining the high priority list, the inventory readiness date list, and the store need list, and outputting the list.

Abstract: A system can assign a value to one or more sustainability factors for a wellbore operation based on historical data. The system can determine, for each of the one or more sustainability factors, a weight. The system can determine a sustainability index corresponding to a predicted carbon footprint for the wellbore operation based on the weight and the value for each of the one or more sustainability factors. The system can output a command for adjusting the wellbore operation based on the sustainability index.

Abstract: A method of controlling a real production process, wherein the method includes: a) receiving initial condition data from an on-line simulator system simulating the real production process, and b) performing an optimization based on the initial condition data and on an objective function to obtain set points for controlling the real production process.

Abstract: Disclosed is an automation engineering field device, comprising: a sensor unit for capturing a physical measured variable for a medium; a memory unit, wherein the memory unit stores at least one standard parameter set and further parameter sets; an electronic unit, wherein the electronic unit is configured so as, after the field device starts, to load the standard parameter set and to operate the field device on the basis of the standard parameter set and wherein the electronic unit is configured so as, when a signal is received, to take the configuration of the signal as a basis for loading one of the further parameter sets and to operate the field device, or components of the field device, on the basis of the further parameter set.

Abstract: Disclosed is an information and data logging system for use in a dental environment. The dental environment comprising a dental unit including a number of individual selectable dental instruments and at least one instrument control unit for controlling the operation of a selected dental instrument. The information and data logging system comprises: a processing unit; and one or more displays for displaying information related to a dental treatment and one or more input units, both the one or more displays and the one or more input units being operatively connectable to said processing unit. The processing unit is configured to enable a user to select using the one or more input units a selected alternative sequence of steps of one or more alternative sequences of steps.

Abstract: A vehicle control device includes a memory configured to store relationship definition data that defines a relationship between a state of a vehicle and an action variable, which is a variable relating to an operation of electronic equipment in the vehicle, and a processor. The processor is configured to execute acquisition processing of acquiring a detection value of a sensor, operation processing of operating the electronic equipment, reward calculation processing, update processing of updating the relationship definition data, detection processing, and switching processing of switching the relationship definition data to post-treatment data. The processor is configured to, based on the update mapping, output the relationship definition data updated to increase an expected return on the reward when the electronic equipment is operated in compliance with the relationship definition data.

Abstract: A power tool comprises a housing defining a grip portion, a motor having a motor drive shaft, a drive assembly including a crankshaft configured to receive torque from the motor drive shaft, an output assembly having an output member configured to receive torque from the crankshaft, a bearing rotatably supporting the crankshaft, a retainer configured to prevent translation of the bearing along the crankshaft past the retainer, and a transducer assembly disposed between the grip portion and the output member to measure the amount of torque applied through the output member.

Abstract: A vehicle controller, a vehicle control system, a vehicle learning device, a vehicle control method, and a memory medium are provided. A switching process switches relationship defining data used in an operation process to post-measure data, when a detection process detects that a functional recovery measure has been taken. The switching process includes a process that uses, as the post-measure data, initial data that is the relationship defining data of a state before an update process is executed as the vehicle travels.

Abstract: A plant control supporting apparatus includes a segment selector configured to select, from among a plurality of segments defined in a plant, a segment for which learning for acquiring an optimal value of at least one parameter representing an operation state is executed, a reward function definer configured to define a reward function used for the learning, a parameter extractor configured to extract at least one parameter that is a target for the learning in the selected segment on the basis of input and output information of a device used in the plant and segment information representing a configuration of a device included in the selected segment, and a learner configured to perform the learning for acquiring the optimal value for each segment on the basis of the reward function and the at least one parameter.

Abstract: A dynamic power monitor for monitoring a power of a block in an integrated circuit is provided. The dynamic power monitor includes an input buffer configured to store first state values corresponding to internal signals of the block according to a first cycle of a clock signal; a power calculator configured to identify first power classification values corresponding to the block according to the first cycle, based on the first state values; and a filter configured to identify a first filtered value of the first power classification values.

Abstract: In one step of a method for infusing an infusion fluid, the infusion fluid is pumped through a fluid delivery line of an infusion system. In another step, measurements are taken with at least one sensor connected to the infusion system. In an additional step, an air determination is determined with at least one processor. The air determination is related to air in the fluid delivery line. The air determination is based on the measurements taken by the at least one sensor. The air determination is further based on: (1) medication information regarding the infusion fluid or infusion information regarding the infusion of the infusion fluid; or (2) multi-channel filtering of the measurements from the at least one sensor or non-linear mapping of the measurements from the at least one sensor; and statistical process control charts applied to the multi-channel filtered measurements or applied to the non-linear mapped measurements.

Abstract: A computer system for automated model integration of an information model with a corresponding application includes: an information model server for exposing an information model to a consumer, the exposed information model including model-elements for exposing types or classes, and for exposing instances of types or classes and their member-values; an application component for providing application code augmented with mapping descriptions defining how an internal information model of the application is mapped to the exposed information model; and a model integration component that: registers internal information model-elements to be exposed; maps the registered internal information model-elements to exposed information model-elements in accordance with the mapping descriptions; and updates an information model-element by: detecting a change of an internal or exposed information model-element; determining a synchronization direction; and performing match-making to determine a model-element corresponding to th

Abstract: A computing system receives a request for computer-generated likelihood(s) for candidate evaluations of an industrial product set according to a measurement system analysis (MSA). The MSA comprises tests for evaluating, according to a measurement standard, the industrial product set. The request indicates a metric set representing metric(s) each quantifying an estimate of contribution to variation in evaluating the industrial product set according to the MSA. The system generates a design comprising a respective input set for each test of the MSA. The respective input set comprises setting(s) for conducting a test of the MSA. The design is designed to isolate candidate sources for contributing to the variation in evaluating the industrial product set according to the MSA. The system (e.g., prior to the MSA) outputs, based on the metric set and the design, the computer-generated likelihood(s) for the candidate evaluations of the industrial product set according to the MSA.

Abstract: Systems and methods are described for a satellite control system that exhibits improved stability and increased efficiency by implementing a non-linear dynamic inversion inner-loop control algorithm coupled with an eigen vector outer-loop control algorithm. Thus, the attitude determination and control system (ADACS) may operate using commands to rotate directly about an eigen vector. Additionally, the outer-loop control system includes a feed-forward control element to enhance pointing accuracy when tracking moving targets.

Abstract: Provided is a method for dynamic adaption of a workflow, WF, of an automation system, AS, wherein the workflow, WF, includes automated handling functions, AHFs, implementing associated production steps of a production process controlled by a workflow processor, WP, of a machine of the automation system and at least one automated handling function, AHF, shell configured to plug a pluggable automated handling function, pAHF, into the workflow, WF, of the automation system during runtime of the automation system for adaption of the workflow, WF.

Abstract: A machine learning device provided in a controller for controlling a wire electrical discharge machine uses state variables (including data relating to a correction amount, a machining path, machining conditions, and a machining environment) observed by a state observation unit and determination data acquired by a determination data acquisition unit to machine-learn a correction for a machining path. Using the learning result, the machining path can be corrected automatically and accurately on the basis of a partial machining path, the machining conditions and the machining environment of the machining performed by the wire electrical discharge machine.

Abstract: The present invention relates to a precise predictive maintenance method for a driving unit and the configuration thereof includes a first base information collecting step S10 of collecting change information of an energy size in accordance with a time measured in a normal driving state of the driving unit; a second base information collecting step S20 of collecting a peak interval; a setting step S30 of setting an alarm upper limit and an alarm lower limit for the peak interval; and a detecting step S40 of measuring a peak interval.

Abstract: A technique for thermal management of a circuit includes generating a power consumption estimate for the circuit based on a predetermined update amount and a comparison of a sensed voltage level to a predetermined voltage level. The method includes generating a fault signal based on the power consumption estimate and a predetermined power consumption limit. Generating the power consumption estimate may include sensing a voltage drop across a first terminal of a device of the circuit and a second terminal of the device to generate the sensed voltage level. The sensed voltage level may be indicative of the voltage drop. The method may include updating the power consumption estimate by the predetermined update amount in response to a clock signal. The power consumption estimate may be used as a proxy for a measurement of a thermal state of the circuit.

Abstract: Provided is a monitoring device capable of easily ascertaining an abnormality. A monitoring device comprises: an acquisition unit which acquires actual operation data (53a) from a control device which controls an actual machine; a storage unit which stores reference operation data indicating reference operation of the actual machine, first related information and second related information; a timing chart generation unit which generates an actual operation timing chart and a reference operation timing chart, and displays the timing charts on a display device; and a simulation data generation unit which generates simulation data of a reference image and a real image.

Abstract: A numerical controller performs machine learning to calculate tailstock pressing force to stabilize behavior of a workpiece during lathe machining and acquires, as state information, current tailstock pressing force. Then, the numerical controller acquires, as determination data, current vibration or displacement of the workpiece, or power consumption by tailstock pressing force, updates a value function based on the acquired determination data, and outputs an adjustment value of the state information based on the updated value function.

Abstract: Various neural network models are constructed flexibly on a learning circuit. A machine learning model construction device includes a learning circuit (80) capable of constructed a neural network model according to a setting value, and a control means (11) capable of adjusting the setting value so as to become a value for constructing a predetermined neural network model in the learning circuit (80).