Abstract: A quantitative source apportionment method based on nontarget high-resolution mass spectrometry (HRMS) data of pollution sources and pollution receptors includes: acquiring samples of pollution sources and receptors, pre-processing samples to extract trace organic pollutants; acquiring chromatography-HRMS nontarget data; pre-processing raw data to obtain a HRMS dataset including a mass-to-charge ratio, a retention time, and a peak area; determining a source-sink relationship based on positions of pollution sources and receptors; constructing an input matrix by combining the HRMS dataset and using each sink as a group; adopting an expectation-maximization method or a Bayesian method to calculate contribution of each source based on a standardized input matrix. Beneficial effects at least include the follows.

Abstract: A system to augment the collected odometer data points with more precise location data which provides an indication of a location of a vehicle associated with the odometer at a given time, such as Global Positioning System (GPS) GPS data points. Additionally, the GPS data points may be collected at a higher sampling rate than the odometer data points, thus providing a more precise indication of a distance traveled by a vehicle at any given time.

Abstract: A scanner that can detect types of targets in a scan are includes a processor, housing and a 3D scanner disposed within the housing The processor is configured to identify locations of one more checkerboard targets disposed in the scan area by: identifying transition locations where adjacent segments on a single scan line transition from a first color to a second color; recording locations of the transition locations as first to second color transition locations; identifying and recording transition locations where adjacent segments on a single scan line transition from the second color to the first color as second to first color transition locations; forming a transition line through adjacent first to second color transition locations and adjacent second to first color transition locations; and identifying a location of a checkerboard target based on the transition line.

Abstract: A server jointly tracks states of multiple vehicles using measurements of satellite signals received at each vehicle and parameters of the probabilistic distribution of the state of each vehicle. The server fuse states and measurements into an augmented state of the multiple vehicles and an augmented measurement of the augmented state subject to augmented measurement noise defined by a non-diagonal covariance matrix with non-zero off-diagonal elements, each non-zero off-diagonal elements relating errors in the measurements of a pair of corresponding vehicles. The server executes a probabilistic filter updating the augmented state and fuses the state of at least some of the multiple vehicles with a corresponding portion of the updated augmented state.

Abstract: An electronic circuit for measuring an angle and an intensity of an external magnetic field, includes: first and second magnetic field sensing units having sensing axes substantially orthogonal to each other; a voltage generator supplying a synchronization signal, a first voltage waveform to the first magnetic field sensing unit and a second voltage waveform to the second magnetic field sensing unit; a signal conditioning unit configured for adding the first and second sensing output signals and outputting a conditioned signal. The first and second voltage waveforms have substantially the same amplitude and frequency and are phase shifted by about 90° with respect to each other. The conditioned signal and the synchronization signal are inputted into a magnetic field angle detection unit configured for measuring a phase shift between the conditioned signal and the synchronization signal and for determining the angle of the external magnetic field from the measured phase shift.

Abstract: A system is provided that predicts motor wear and failures before they occur. Telemetry data from motors in a motor application is collected and predictive algorithms are used to determine when a motor is aging and when it may fail. Identifying a potential failure in these types of applications can help mitigate risk of other equipment failures and realize cost savings. In one example, a motor aging detection system is provided that includes one or more DC motors, and a motor controller coupled to each motor. The motor controller reads three phase currents from each motor and converts the phase currents to digital values, calculates telemetry data including applied voltages, back electric-motive force, inductance, and resistance of each motor at periodic intervals, stores this telemetry data for each motor in a memory. An age detection circuit retrieves this information from the memory and determines age factors of the motor.

Abstract: The present disclosure relates to a system, an apparatus, and a method for managing health condition of at least one rotating system. The method includes receiving, by a processing unit, operational data associated with the rotating system in real-time, from one or more sensing units. The operational data includes parameter values corresponding to an operation of the rotating system. Further, a virtual replica of the rotating system is configured using the operational data. A behavior of the rotating system is simulated on a simulation instance of the rotating system based on the configured virtual replica. The simulation results are analyzed to determine an abnormality in the health condition of the rotating system. The abnormality corresponds to a health status of an internal component of the rotating system. Further, a notification indicating the abnormality is generated, on a Graphical User Interface.

Abstract: A graph-based data multi-operation system includes a data multi-operation management subsystem coupled to an application and accelerator subsystems. The data multi-operation management subsystem receives a data multi-operation graph from the application that identifies first data and defines operations for performance on the first data to transform the first data into second data. The data multi-operation management subsystem assigns each of the operations to at least one of the accelerator systems, and configures the accelerator subsystems to perform the operations in a sequence that transforms the first data into the second data, When the data multi-operation management subsystem determine a completion status for the performance of the operations by the accelerator subsystems, it transmits a completion status communication to the application that indicates the completion status of the performance of the plurality of operations by the plurality of accelerator subsystems.

Abstract: Disclosed are various embodiments for an anomaly detection system for detecting and identifying anomalies in electrical devices based on an energy profile associated with the electrical devices. Energy profile data associated with electrical devices or components in a power network can be obtained using an energy meter. The energy profile data can be analyzed to determine one or more conditions of the electrical devices. An anomaly of the electrical devices can be determined based on the energy profile data and conditions. Further, a root cause of the anomaly can be determined.

Abstract: A metering assembly, switchboard case, adapter cradle and method of use are provided. A metering assembly of the present disclosure includes an intelligent electronic device (IED) disposed in a switchboard case. The switchboard case includes an enclosure which is connected to an electrical distribution system and a cover. The IED is mounted in a cradle which is removable from the enclosure. The cradle, or adaptor, interconnects electronics of the IED with an electrical circuit of the electrical distribution system. The cover includes a sealing mechanism which prevents removal of the cover and indicates when the cover has been tampered with. The cover further includes a sealed input/output interface which interconnects with input/output means of the IED disposed with the switchboard case. The enclosure and/or the cover have a gasket to seal the cover to the enclosure to making the switchboard case water-tight and enabled for used in outdoor applications.

Abstract: It is an object to provide a flow rate sensor device having improved sensor responsiveness compared with the prior art. The present invention is a flow rate sensor device including a sensor element that detects a flow rate; a unit body including a sensor unit in which the sensor element is mounted, and a case accommodating the unit body, wherein the sensor unit is supported away from a bottom surface of the case. In this way, the sensor unit is supported to float upward from the bottom surface of the case, and a space is provided between the sensor unit and the bottom surface. Therefore, heat caused in the sensor unit can be separated from outside, and good sensor responsiveness can be maintained.

Abstract: There is provided a system and method of measuring a lateral recess in a semiconductor specimen, comprising: obtaining a first image acquired by collecting SEs emitted from the surface of the specimen, and a second image acquired by collecting BSEs scattered from an interior region of the specimen between the surface and a target second layer, the specimen scanned using an electron beam with a landing energy selected to penetrate to a depth corresponding to the target second layer; generating a first GL waveform based on the first image, and a second GL waveform based on the second image; estimating a first width of the first layers based on the first GL waveform, and a second width with respect to at least the target second layer based on the second GL; and measuring a lateral recess based on the first width and the second width.

Abstract: Techniques are described providing improved ways to benchmark and validate virtual desktop deployments where targeted workloads are delivered to virtual desktops based on parameters such as the desktop type and origin, and where workload operations can be triggered from the client device. Client instructions for performing workload operations can be encoded into a digital image such as a Quick Response (QR) code on the virtual desktop and inserted into the virtual desktop graphical user interface (GUI). The client decodes the digital image in the received GUI to obtain the instructions and actuate the operations. Completion of operations can be tracked to benchmark desktop performance.

Abstract: A method for classifying an object in a point cloud includes computing first and second classification statistics for one or more points in the point cloud. Closest matches are determined between the first and second classification statistics and a respective one of a set of first and second classification statistics corresponding to a set of N classes of a respective first and second classifier, to estimate the object is in a respective first and second class. If the first class does not correspond to the second class, a closest fit is performed between the point cloud and model point clouds for only the first and second classes of a third classifier. The object is assigned to the first or second class, based on the closest fit within near real time of receiving the 3D point cloud. A device is operated based on the assigned object class.

Abstract: Disclosed is a method for determining a starting amount of a first substance which is required for providing a predeterminable number of samples in a liquid handling process. Also disclosed is a corresponding computer program and a corresponding computer program product. The liquid handling process is described through at least one work step, taking into account at least one secondary condition. An estimated value for the starting amount of the first substance is determined. A simulation of the at least one work step is then performed. A new estimated value for the starting amount is determined and the simulation is repeated if the prior simulation could not be completed or an actual value ascertained in the simulation deviates from the estimated value by more than a predeterminable tolerance. Otherwise, the actual value ascertained on the basis of the simulation is the starting amount of the first substance.

Abstract: A system, a method, and a machine-readable medium for overclocking a computer system is provided. An example of a method for overclocking a computer system includes predicting a stable operating frequency for a central processing unit (CPU) in a target system based, at least in part, on a model generated from data collected for a test system. An operating frequency for the CPU is adjusted to the stable operating frequency. A benchmark test is run to confirm that the CPU is operating within limits.

Abstract: An aspect of the present disclosure provides a relevance ranking system for events identified by performance management systems. In one embodiment, a system receives, from one or more performance management systems, events associated with performance metrics and determines, based on the received events, a corresponding relevance score for each performance metric. The system generates a ranking list of the received events based on the corresponding relevance scores (determined for the performance metrics). The system then provides the ranking list of events to a user (such as an administrator). According to another aspect, the system (noted above) performs the steps of receiving, determining, and generating for each time interval of a set of time intervals.

Abstract: The present invention discloses a system and method for structural health monitoring to identify structural anomaly and to predict structural integrity of civil structures on real time basis by evaluating feasibility of wireless structural health monitoring (SHM) of civil structures encompassing internet-of-things (IOT) and machine learning models (8). The system includes a sensor (S) connected to node processor (1, 1a, 1b, 1c, . . . 1n), physical device gateway (2), cloud gateway (4), trigger function software client (5), graphic user interface or dashboard (9) and communication module (C). The system evaluates incoming real-time engineering data on the cloud gateway (4) and allows a trigger function to route the engineering data to cloud storage (6b) and cloud analytics (6a) and alert system (6c). The system gives a single conditional statement in real-time by correlating predictions of multiple structural integrity parameters of the civil and mechanical engineering structures.

Abstract: An apparatus to collect firmware measurement data at a computing system is disclosed. The apparatus includes a plurality of agents, each including a non-volatile memory storing firmware executed to perform a function associated with the agent, verification logic to generate measurement data by verifying the integrity of the firmware and a register to store the measurement data, and a processor to execute an instruction to collect firmware measurement data from each of the plurality of agents.

Abstract: A prediction method for changes of physical parameters after earthquakes includes: obtaining a precipitable water vapor after an earthquake in a target monitoring area during a historical period; verifying the accuracy of the precipitable water vapor collected in the historical period; obtaining thermal anomaly data of the land surface temperature after the earthquake in the target monitoring area during the historical period; determining a time difference between peak of the precipitable water vapor and peak of the thermal anomaly of the land surface temperature; when the earthquake occurs again in the target monitoring area, detecting a time point corresponding to the peak of the thermal anomaly of the land surface temperature in the target monitoring area, adding the time point to the time difference to obtain a predicted time point of the peak of precipitable water vapor, and outputting the predicted time point as a time point of secondary disaster.