Abstract: A method for detecting an abnormal behavior of a device, includes capturing data of at least two different sensors associated to the device within a temporal sequence of time intervals, estimating a relationship between two different sensors for each combination of two different sensors and for each of the time intervals by determining a precision matrix of a multivariate probabilistic model, each matrix element representing the relationship between two sensors, determining a temporal course of the precision matrix by applying the precision matrix of neighboring time intervals with at least one penalty, and identifying an abnormal behavior of the device, if the precision matrix of adjacent time intervals differs by a value larger than an expected threshold value.

Abstract: A real-time abnormity-diagnosing and interpolation method for water regime-monitoring data relates to the technical field of monitoring water regime. This method includes the following steps: acquiring water regime-monitoring data, drawing a box plot, recognizing and diagnosing abnormal data in real time based on the box plot, performing grey correlation analysis on other variables related to a predictor variable, building a BP neural network model and making training, applying the BP neural network model to predict water regime-monitoring data in real time, and performing abnormity diagnosis and data interpolation. Adopting this method, we can effectively enhance predicting and monitoring the water regime-monitoring data in real time, and diagnose abnormal data and make interpolations in time, thereby improving the reliability of data, objectively reflecting water regime changes, and effectively guiding engineering scheduling.

Abstract: A computer-implemented method can receive a software update for a software application deployable on a target system and perform an automatic performance test of the software application incorporating the software update on the target system. The automatic performance test can be integrated in a continuous integration and continuous delivery (CI/CD) pipeline. The method can collect a plurality of performance metrics measured when performing the automatic performance test and determine a performance score based on the plurality of performance metrics. Responsive to detecting the performance score is below a predefined performance threshold, the method can cause the CI/CD pipeline to reject the software update to the software application.

Abstract: The present disclosure relates to a urine monitoring method adapted to a urine monitoring device and a cloud server. The urine monitoring method includes the urine monitoring device detecting a real-time weight, the urine monitoring device sending the real-time weight to the cloud server through a communication interface, and the cloud server determining whether the real-time weight is less than a lower bound of a current weight or is greater than an upper bound of the current weight. If the real-time weight is either less than the lower bound of the current weight or greater than the upper bound of the current weight, the cloud server sends a signal to set the urine monitoring device as a urine volume warning status.

Abstract: A method of determining, for each cell of a battery of series-coupled cells, an indicator QCi representative of the charge stored in the cell, this method comprising: a) at the end of a phase of partial discharge or charge of the battery, measuring the voltage Ui across each cell of the battery; b) calculating, for each cell, an interpolation coefficient Xi from a value C_rate representative of the discharge or charge rate of the battery during said partial discharge or charge phase, and from the voltages Ui measured at step a); and c) determining, for each cell, from the interpolation coefficient Xi calculated for the cell at step b) and from a quantity Qcm representative of the charge stored in the battery, said indicator QCi representative of the charge stored in cell.

Abstract: There is provided an analysis apparatus including: an acquisition unit configured to acquire a plurality of measured values obtained by measuring a device under measurement; a machine learning unit configured to use the plurality of measured values to learn, by machine learning, a model of a position-dependent component that depends on a measured position in the device under measurement; and an analysis unit configured to separate, from the plurality of measured values, the position-dependent component which is calculated by using the model learned by the machine learning unit. Further, there is provided an analysis method. Further, there is provided a recording medium having recorded thereon an analysis program.

Abstract: A computerized method of processing data for use in weather modeling is provided. The method includes receiving, from a first data source, by a first server, microwave link data including signal attenuation information. The method also includes pre-processing, in real time, by the first server, the microwave link data, thereby producing pre-processed microwave link data. The method also includes storing the pre-processed microwave link data in a first data store. The method also includes receiving, from the first data store, by a second server, the pre-processed microwave link data. The method also includes processing, on a scheduled routine, by the second server, the pre-processed microwave link data using a data transform, thereby producing first weather data.

Abstract: The present invention relates to a dynamic carbon sink measurement method for afforestation carbon sink and forest management carbon sink projects, comprising: (1) monitoring the project boundary; (2) monitoring the baseline IoT; (3) monitoring the project IoT; (4) monitoring the real-time total carbon stock and carbon change; (5) determining the monitoring end and monitoring the automatic period. The invention dynamically obtains the baseline and project carbon density by deploying carbon layer carbon density IoT monitoring sample plots.

Abstract: Devices and methods to perform AC impedance measurement of a device which use an excitation signal including a root mean squared current or a root mean squared voltage in a sequence of one or more frequency groups, wherein each of said frequency groups includes a summation of one or more frequencies within a frequency spread.

Abstract: A method for calibrating close interval survey (CIS) data with remotely monitored data includes obtaining a plurality of CIS measurements from a plurality of CIS locations along a pipeline, obtaining a first plurality of remotely monitored measurements from a plurality of test stations positioned along the pipeline for a first time period, assigning, for each of the plurality of test stations, one of the plurality of CIS locations as an adjacent CIS location based on location data for the plurality of CIS locations and the plurality of test stations, and, calibrating the CIS data with the remotely monitored data by using the first plurality of remotely monitored measurements for each of the plurality of test stations as a proxy measurement for the adjacent CIS location.

Abstract: Provided herein are methods and systems for making patient-specific therapy recommendations of a combination of any two or more therapies selected from a lipid-lowering therapy, an anti-inflammatory therapy for patients with known or suspected cardiovascular disease, such as atherosclerosis.

Abstract: A control device of a technical installation receives in normal operation cyclically measurement variables from sensors, and outputs control variables to actuators. In normal operation, the control device stores the history of at least some of the measurement variables at least for a limited time and monitors the measurement variables for the occurrence of a fault. If a fault occurs, the control device transmits a fault message identifying the fault and the history to a knowledge base. In response to the fault message and the histories, the control device receives a reply from the knowledge base and outputs the reply to an operator. Before the normal operation is performed, the control device receives from the operator specifications which allow the control device to defines the histories. In the event of a fault, the control device determines, in dependence on the specifications, which histories to transmit to the knowledge base.

Abstract: A sensor fusion system and method are disclosed. One or more processors are operable to receive a plurality of object detection measurements from a plurality of sensors. Each of the plurality of object detection measurements are associated with a potential object detection track. A plurality of sensor confidence values associated with each of the plurality of sensors are received. A track confidence value is determined for each of the potential object detection tracks based on the received plurality of object detection measurements and the received plurality of sensor confidence values. An object detection for a potential object detection track that has a determined track confidence value meeting a predetermined detection threshold is then determined, or confirmed, and stored in a memory for subsequent use, and is relatively unaffected by a measurement from a sensor that has a field of view that omits or is occluded with respect to the given object detection track.

Abstract: Disclosed is a system and method for evaluating a status of a refractory material in metallurgical vessels, including furnaces and ladles, wherein a slag buildup is formed on the surface of such material as a result of scrap accumulation and chemical reactions occurring during the melting of metals in such vessels. The system and method are operative to determine both a rate of degradation of the material under evaluation, including the thickness of such material, and a measure of the slag buildup to predict and extend the operational life and improve the maintenance plan of the vessel. The system is capable of determining the thickness of and the slag buildup on the entire material under evaluation by sampling a number of regions of such material with different types of sensors, characterizing the surface profile of such material, and using appropriate signal processing techniques and artificial intelligence algorithms.

Abstract: A battery diagnosing technology capable of effectively diagnosing a state of a secondary battery using a charge and discharge signal extracted from the secondary battery, including memory to store a positive electrode reference profile and a negative electrode reference profile for charge or discharge of a reference battery, a voltage sensor to measure a voltage of a target battery during a charge or discharge process, and a processor to generate a plurality of charge and discharge measurement profiles based on voltages measured at a plurality of different time points, compare each of the generated charge and discharge measurement profiles with a simulation profile obtained from the positive and negative electrode reference profiles, and determine positive and negative electrode adjustment profiles for each of the generated charge and discharge measurement profiles so that an error between each charge and discharge measurement profile and the simulation profile is within a predetermined level.

Abstract: A communication apparatus includes a data collecting unit for obtaining log information about a state of a battery from a battery management system that manages the battery, a first storing unit including reference log information for determining abnormality of the battery, and a diagnosing unit for diagnosing abnormality of the battery by comparing the log information about the state of the battery with the reference log information.

Abstract: A method for detecting low-frequency oscillations, in particular subsynchronous resonances, in an electrical supply grid is provided. The grid has a line voltage with a rated line frequency. The method comprises recording first and second series of measurements each for performing a frequency analysis (FFT). The method includes performing a lower frequency analysis for the first series for a lower frequency range and forming a lower amplitude spectrum. The method includes performing an upper frequency analysis for the second series for an upper frequency range and forming an upper amplitude spectrum. The method includes testing whether a low-frequency oscillation component can be identified in the lower amplitude spectrum, and testing whether a low-frequency oscillation component can be identified in the upper amplitude spectrum, where the presence of a low-frequency oscillation is assumed when a low-frequency oscillation component is identified in at least one of the lower and upper amplitude spectra.

Abstract: An image projection measuring apparatus includes a measurer, a storage, an image projection data generator, an image projector, and an image projection controller. The measurer is configured to measure a shape of a work by illuminating an outer surface of the work with a line laser from a laser emitter. The storage is configured to store measurement data acquired by the measurer. The image projection data generator is configured to generate image projection data from the measurement data. The image projector includes a camera and is configured to project the image projection data from the camera. The image projection controller is configured to cause the image projector to project the image projection data onto the outer surface of the work.

Abstract: A method for generating a resultant test plan for testing a measurement object includes generating at least one data record by measuring the measurement object. The method includes assigning at least part of the measurement object to at least one object class based on the at least one data record. The method includes determining a test plan assigned to the at least one object class as an object-class-specific test plan. The method includes determining the resultant test plan based on the object-class-specific test plan. The assignment of the at least part of the measurement object to the at least one object class is independent of dimensions.

Abstract: Embodiments of the present invention manage a state of charge of a rechargeable battery for extended storage by determining a manual override for a storage protocol is not activate for a rechargeable battery associated with a battery charger and an electronic device. Receiving battery data, environment data, and historical data for the rechargeable battery associated with a battery charger. Embodiments of the present invention determine to activate the storage protocol for the rechargeable battery based on the battery data, the environment data, and the historical data and discharge the rechargeable battery to a preset state of charge level based on the storage protocol.