Abstract: A CPU having a plurality of cores is configured by determining a number of cores required for operation of the CPU. Each respective core is tested, and a performance parameter of the respective core is determined based on the test. The respective core is then classified for suitability to perform a set of functions based on the performance parameter of the respective core. If at least the number of cores required for operation of the CPU are classified for suitability to perform the set of functions, a subset of suitable cores is defined, the subset including cores that are classified for the set of functions and at least the number of cores required for operation of the CPU. The required number of cores from among the subset of cores are then enabled.

Abstract: Monitoring a performance of one or more computing systems includes configuring, by at least one processor, a sampling window for sampling exceptions data generated by at least one application instance being executed by a computing device, the exceptions data indicating an occurrence of at least one operation performed by the application instance. Configuring the sampling window comprises determining a number of exceptions generated for a prior sampling window, determining a computing bandwidth that is available for monitoring the exceptions, and controlling a sampling rate of the sampling window based on the number of exceptions and the computing bandwidth. The monitoring includes receiving, during the sampling window, the exceptions data generated by the at least one application instance, sampling, based on the sampling rate, the exceptions data, and generating, based on the sampling, summary data representing the exceptions data.

Abstract: A system predicts needed maintenance for an irrigation system that includes a portion of the irrigation system and a movable end gun operably associated with the portion of the irrigation system. The predictive maintenance system includes a controller and one or more sensors configured to couple to the movable end gun and configured to electrically communicate with the controller. The one or more sensors are configured to generate an electrical signal indicative of movement and/or positioning of the movable end gun relative to the portion of the irrigation system over time. The controller is configured to receive the electrical signal and determine whether the movable end gun, or one or more components thereof, requires maintenance based on the electrical signal. The signal indicative of abnormal operation includes an indication of movement and/or positioning relative to the portion of the irrigation system over a period of time.

Abstract: One embodiment of the invention is directed to a sample processing system for analyzing a biological sample from a patient. The sample processing system comprises: a plurality of analyzers comprising at least one mass spectrometer, wherein each analyzer in the plurality of analyzers is configured to acquire at least one measurement value corresponding to at least one characteristic of the biological sample; at least one data storage component which stores (i) a list of parameters for the plurality of analyzers, and (ii) at least two condition sets, which contain data associated with completing one or more test orders. The condition sets contain data which differ by at least one variable; and a control system operatively coupled to the plurality of analyzers, and the at least one data storage component.

Abstract: An improved total field calibration system and method is disclosed for reducing the rotational misalignment between magnetic and gravity sensors in a directional sensing system. A method of calibrating a tri-axial directional sensor comprising orthonormal accelerometers and orthonormal magnetometers, comprises measuring Earth's magnetic and gravity fields with said directional sensor in at least 4 sensor orientations; obtaining at least one reference field value of dip drift of Earth's magnetic field from at least one source independent of said directional sensor corresponding to said orientations; and, determining and applying rotational misalignments between said magnetometers and said accelerometers so that measured magnetic dip drifts are substantially equal to said reference values. The calibration process can be performed without monitoring the declination change during the calibration process.

Abstract: A computer-implemented method for determining influence of applications on system performance includes collecting, by a processor, for several applications that are executing on a computing system, respective instrumentation data during multiple time-segments. The method further includes determining, for each of the applications, a performance value and a robustness value for each of the time-segments based on the respective instrumentation data. Further, using the performance value and robustness value for each time-segment, multiple health-waveforms are generated, where a health-waveform is generated for each respective application. The method further includes determining, by the processor, an influence-factor of a first application on a second application, the first application and the second application are executing on the computing system.

Abstract: The present technology is directed to easily and more accurately acquiring output signals relating to a plurality of inertial sensors. Provided is an information processing device including a combining unit that stepwisely combines output signals relating to a plurality of inertial sensors, in which the combining unit clusters a plurality of the output signals into a plurality of clusters and stepwisely combines the output signals in each of the clusters, and at least one of the clusters includes a plurality of the output signals. Furthermore, provided is an information processing method including stepwisely combining, by a processor, output signals relating to a plurality of inertial sensors, in which the combining further includes clustering a plurality of the output signals into a plurality of clusters and stepwisely combining the output signals in each of the clusters, and at least one of the clusters includes a plurality of the output signals.

Abstract: Monitoring and enhancing performance of containers using a calibration technique is implemented using a computer. Performance of a new container as part of an application running on the computer is checked by comparing a current performance of the new container with baseline data corresponding to the new container. The baseline data is derived from a calibration container corresponding to the new container. The new container is categorized in a category of performance based on the checking of the performance of the new container. An alert can be sent to a device of an administrator regarding the new container meeting a threshold of performance, in response to the new container meeting the threshold of performance. The alert can be sent to the device of the administrator for the administrator to initiate an action pertaining to the new container in response to receiving the alert.

Abstract: Systems and/or techniques for facilitating online-monitoring of machine learning models are provided. In various embodiments, a system can receive monitoring settings associated with a machine learning model to be monitored. In various cases, the monitoring settings can identify a first set of data features that are generated as output by the machine learning model. In various cases, the monitoring settings can identify a second set of data features that are received as input by the machine learning model. In various aspects, the system can compute a first set of statistical metrics based on the first set of data features. In various cases, the first set of statistical metrics can characterize a performance quality of the machine learning model. In various instances, the system can compute a second set of statistical metrics based on the second set of data features.

Abstract: A machine characterization device for determining one or more machine characterization parameters of a computing device depending on a machine signature determined from sets of timing measurements associated with at least one machine characterization instruction executed by one or more processors comprised in the computing device using at least two machine configurations. A machine configuration comprises a sequence of two or more machine configuration instructions defining an order of execution of one or more instructions by the one or more processors.

Abstract: A method analyzing a machine having a rotating shaft includes generating an electric measurement signal dependent on mechanical vibrations from the shaft rotation; sampling the measurement signal to generate a digital measurement data signal; performing a decimation of the digital measurement data signal to achieve a digital signal having a reduced sampling frequency, where the decimation includes controlling the reduced sampling frequency such that the number of sample values per revolution of the shaft is kept at a substantially constant value, and receiving the digital signal at an enhancer input performing a correlation in the enhancer so as to produce an output signal sequence where repetitive signals amplitude components are amplified in relation to stochastic signal components, and performing a condition analysis for analyzing the condition of the machine dependent on the digital signal having a reduced sampling frequency.

Abstract: A calibration method implemented by a computer, includes: measuring, with a laser ranging sensor, markers attached to at least two predetermined positions of a bed portion of a trampoline and calculating coordinates of the markers in a first coordinate system with a position of the laser ranging sensor being an origin; and calculating a conversion parameter to convert coordinates of respective positions of the first coordinate system into coordinates of respective positions of a second coordinate system with a center position of the bed portion being an origin based on a relationship between the calculated coordinates of the markers and the at least two predetermined positions of the bed portion.

Abstract: The present invention provides a system and method for more efficient utilization of comminution mills. Sensors are provided in the liners placed within the mill shell. The sensors may include RFID tags, liner wear profile sensors (e.g., such as an ultrasonic sensor), an inertial sensor (preferably included both an inclinometer and an accelerometer, and an acoustic sensor, among others. When the liners are installed in the shell, the RFID tag is used to register the location of the liner within the shell. In operation, the information provided by the sensors is collected by a data transmission unit and sent by transmitter over the air to a computer having an antenna and receiver for such data. The data is correlated and a processor generates data for display in regions on a display device.

Abstract: A substrate processing apparatus that accommodates a substrate holder in which a substrate is placed in a processing container and forms a film onto the substrate, includes: a film thickness meter that measures a thickness of the film formed on the substrate; a state analysis unit that analyzes variation of the film thickness from a measurement result output from the film thickness meter at a plurality of measurement points where the film thickness on the substrate is measured; a singular point detection unit that, based on the analysis result, detects a measurement point where a difference from an adjacent measurement point deviates from a predetermined condition, as a singular point; and a singular point correction unit that corrects a measurement result of the singular point so that the difference of the film thickness between the singular point and the adjacent measurement point is within a predetermined condition.

Abstract: One or more first sensors may be configured to sense seismic signals and one or more second sensors may be configured to sense electromagnetic crosstalk signals. The second sensors are not responsive to the seismic signals. The data from the first and second sensors may be recorded as first data and second data, respectively. The first data may be modified based on the second data to remove the electromagnetic crosstalk noise form the seismic data.

Abstract: A method of operating a monitoring sensor comprising a light transmitter; a light receiver; and a deflection unit is described, with the method comprising the steps: a) detecting a respective detected signal that comprises a time curve of a reception signal received for an angle of rotation; b) determining the number of reception light pulses in the detected signal; c) generating a detection signal that comprises information on the determined position of an object, wherein checks are made in accordance with first, second and third test conditions, and with the first test condition being checked in a first test step, and one of the second and third test conditions being checked in possibly performed second and/or third test steps respectively.

Abstract: The present disclosure provides a method and a system for determining locations of telecommunication ground stations. In one aspect, the method includes creating heat map data set representing air traffic volume at grid units of a geographic region, determining a ground station location at one of the grid units having air traffic volume greater than that of others of the grid units, modifying the heat map data by excluding data representing one or more of the grid units surrounding the ground station location, and repeating the determining and modifying steps until a predetermined quantity of ground station locations is determined.

Abstract: A method and a device for analyzing a consumption of resources in a computing infrastructure to predict a resource consumption anomaly on a computing device. The method includes determining a plurality of resource consumption modeling functions; determining a correlation between the resource consumption modeling functions; measuring a resource consumption by a measurement of a consumption value of a first resource; and predicting the resource consumption of the computing infrastructure. The predicting includes a calculation of a value of future consumption of a resource to be predicted from the consumption value of the first resource and from a previously calculated correlation between modeling functions.

Abstract: Systems, computer-implemented methods, and computer program products that can facilitate switching a model training process from a ground truth training phase to an adversarial training phase based on performance of a model trained in the ground truth training phase are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an analysis component that identifies a performance condition of a model trained in a model training process. The computer executable components can further comprise a trainer component that switches the model training process from a ground truth training process to an adversarial training process based on the identified performance condition.

Abstract: There is provided an equipment element maintenance analysis system including: a history information acquirer that is attached with at least one equipment element and acquires, at a predetermined timing, operation history information on a piece of manufacturing equipment for manufacturing a product; an error rate calculator that calculates an error rate based on the number of errors related to each of the at least one equipment element, included in the operation history information; a maintenance determiner that determines maintenance necessity of each of the at least one equipment element; and a notifier that notifies an information item on an equipment element determined to require maintenance among the at least one equipment.