Abstract: Various embodiments include a method for producing a quality test system executing a quality test model with a filter mask and a quality model to determine a quality feature of a battery cell. The system has an electrochemical impedance spectroscopic unit for capturing test data relating to the battery within a frequency range. The method includes: creating the model; and producing the system. Creating the model includes: capturing spectroscopic learning data; creating the filter mask using a first machine learning method with analysis data from part of the frequency range by consulting the filter mask and creating the model using a second machine learning method. The first and the second learning method are coupled based on the learning data. The first machine learning method creates a filter mask determining the analysis data such that the second machine learning method creates a quality model optimized with respect to maximizing the quality.

Abstract: Systems and methods for estimating a state of charge of a hearing aid rechargeable battery for rapid user feedback and charge management are provided. The method includes detecting a rechargeable battery of a hearing aid received at a battery charger. The method includes retrieving a last state of charge (SoC) of the rechargeable battery and a time in use of the rechargeable battery. The time in use is a time the hearing aid is out of the battery charger. The method includes estimating a current state of charge (SoC) of the rechargeable battery based on the last SoC and the time in use of the rechargeable battery. The method includes causing a display of the battery charger to present the estimated current SoC.

Abstract: Component errors prevent linear photonic circuits from being scaled to large sizes. These errors can be compensated by programming the components in an order corresponding to nulling operations on a target matrix X through Givens rotations X?T†X, X?XT†. Nulling is implemented on hardware through measurements with feedback, in a way that builds up the target matrix even in the presence of hardware errors. This programming works with unknown errors and without internal sources or detectors in the circuit. Modifying the photonic circuit architecture can reduce the effect of errors still further, in some cases even rendering the hardware asymptotically perfect in the large-size limit. These modifications include adding a third directional coupler or crossing after each Mach-Zehnder interferometer in the circuit and a photonic implementation of the generalized FFT fractal.

Abstract: A system and method for matching conformers of different molecule are provided. The methods for matching conformers of different molecule include calculating average electron density (AED) values corresponding to a most electronegative group of the different molecules, and matching conformers of the different molecules based on a common AED.

Abstract: The present disclosure provides a compound function prediction method based on a neural network and a connectivity map (CMAP) algorithm. The compound function prediction method is used to predict an efficacy of a compound, and the compound function prediction method includes the following steps: constructing a compound molecule-encoding vector neural network; constructing and training an encoding vector-marker gene expression variation deep neural network; constructing and training a marker gene expression level or gene expression variation-whole genome gene expression level or gene expression variation neural network; constructing upregulated and downregulated gene sets of a disease or a phenotype; and evaluating a correlation between the compound and the disease or the phenotype.

Abstract: A test management module includes a test manager writing a test list, a first emulator controlling an operation of the vehicle according to instruction of the test manager, and a controller controlling an operation of a test station according to instruction of the test manager. The test list includes an event condition to be generated in a vehicle and operation information of the operation of the vehicle, which is performed when the event condition is satisfied, and the operation of the test station provided to virtually test the vehicle.

Abstract: Exemplary embodiments provide methods, mediums, and systems for analyzing spectrometry and/or chromatography data, and in particular to techniques to improve the reproducibility of results of spectrographic and/or chromatographic experiments. For example, some embodiments provide techniques for normalizing mass spectrometry (MS) and/or liquid chromatography (LC) data across different experimental devices, allowing data from different cohorts to be directly compared. To this end, exemplary embodiments provide a reliable, reproducible target library usable across different platforms, laboratories, and users. One embodiment leverages statistical techniques to select experimental parameters configured to reduce or minimize the chance of misidentifying a target molecule. Another embodiment leverages the law of large numbers to produce a composite product ion spectrum usable across different experiments.

Abstract: A repair system for gas turbine engine components includes a computer system configured to receive a set of measured parameters for each gas turbine engine component in a plurality of substantially identical gas turbine engine components, and determine a variation model based on the set of measured parameters wherein each of the gas turbine engine components is an as-run component and has been exposed to a substantially identical general wear pattern. The computer system includes at least one simulated engine model. The simulated engine model is configured to determine a predicted operation of each gas turbine engine component in the plurality of substantially identical gas turbine engine components.

Abstract: Disclosed is a sample ingredient analysis apparatus including a first spectrum collection unit configured to radiate first light to a sample in order to generate a first spectrum and to concentrate the first spectrum, a second spectrum collection unit configured to radiate second light to the sample in order to generate a second spectrum and to concentrate the second spectrum, a data analyzer configured to receive the first and second spectra from the first and second spectrum collection units, to generate first and second spectral data based on the first and second spectra, and to calculate the first and second spectral data in order to obtain spectral data, and a data terminal configured to receive the first and second spectra data and the spectral data from the data analyzer and to display the first and second spectra and the spectral data to the outside.

Abstract: A body posture detection device comprises: a correction value calculation unit that sequentially calculates a correction value for estimating a roll angle of a vehicle body on the basis of a variable correction coefficient set according to a determination of a state determination unit and detection values of a speed sensor and a detection unit; and a roll angle estimation value calculation unit that calculates an estimation value of a current roll angle of the vehicle body by integrating a value obtained by correcting an estimation value of a roll angular velocity on the basis of the correction value. The correction value calculation unit sets the variable correction coefficient so as to reduce the correction value when the parameter exceeds a threshold.

Abstract: A deterioration diagnosis unit 21a of an arithmetic unit 20 constituting a remaining performance evaluation system 3 diagnoses the deterioration degree of a secondary battery 5 that has already been used for primary use based on an actual measurement value. The deterioration speed update unit 21b updates the deterioration speed of the secondary battery 5 based on the diagnosis result of the secondary battery 5. The remaining performance estimation unit 21c estimates the remaining performance of the secondary battery 5 after the start of secondary use based on the updated deterioration speed and a usage method at the time of the secondary use of the secondary battery 5.

Abstract: A system and method are provided for efficiently estimating vehicle tire wear. Vehicle kinetics (first) data are provided via one or more sensors associated with the vehicle and/or at least one associated tire. The vehicle kinetics data are locally processed to compress or otherwise generate second data as a reduced subset thereof, said second data representative of the first data and comprising any one or more predetermined wear-specific features extracted therefrom. The second data are selectively transmitted via a communications network to a remote computing system, which processes the second data to estimate a wear characteristic for the at least one tire. Alternatively, the second data processed to generate third data as a reconstruction of the first data, and the third data and the any one or more extracted features are processed to estimate a wear characteristic for the at least one tire.

Abstract: Systems and methods for three-dimensional computer modeling of buildings are disclosed, including a method comprising generating, with a computer processor, a 3D model of walls of a structure and a wall area measurement estimate report, using the 3D model of the walls, displaying multiple line drawings of a building having a roof.

Abstract: A method for determining a measure of a gas concentration from a group of at least two non-dispersive infrared. NDIR. gas sensors (S1-SN) is described. The method comprises the steps of obtaining. at a processing unit (1), from each NDIR gas sensor (S1-SN) a measure of a gas concentration as a belief function Pi(x), which provides a probability as a function of the sensed light intensity at a specific wavelength, merging. in the processing unit, the belief functions Pi(x) to a merged belief function P(x). A computer program performing the method is also described.

Abstract: Provided is a perception evaluation method for a bearing capacity of a highway tunnel lining structure, including: from the load effect evolution state of surrounding rock and the decay mechanical state of a lining structure, the characterization index system of a highway tunnel bearing capacity is constructed; a characterization index inversion function relationship based on strain data of an inner surface of the highway tunnel lining is provided, a bearing capacity perception layout scheme of the tunnel structure is constructed accordingly, and a complete set of perception method for bearing capacity characterization indexes is obtained; then, by calculating a load effect function and a resistance effect function, the calculation and evaluation method of the tunnel structure bearing capacity.

Abstract: Machine learning-based disaster modeling and high-impact weather event forecasting are provided herein. Embodiments herein provide a flexible machine-learning platform for providing skillful forecast of severe weather (tornadoes, damaging wind gusts, and hail), tropical cyclone activity, and precipitation, with skill potentially extending to 13 months or more.

Abstract: A method for monitoring an epicyclic gear train of an aircraft includes the following steps: acquiring, at a predetermined sampling frequency, first values (5(ti)) of a signal formed by a progressive mechanical wave generated in the epicyclic gear train; measuring, at a plurality of successive instants, values (Vmes _r(tj)) of a speed of rotation of at least one of the toothed wheels of the gear train; calculating values (Vc(tj)) of a speed of rotation of a point of contact between two toothed wheels of the epicyclic gear train; determining second values (S(ç½)) of the signal formed by a progressive mechanical wave generated in the epicyclic gear train, the second values being sampled depending on a phase of the point of contact and forming secondary mechanical wave data; and using the secondary mechanical wave data (S(ç½)) to detect an anomaly related to the operation of the epicyclic gear train.

Abstract: A diagnostic method for verifying the proper functioning of flow devices of a fluid system including at least one of at least one fluid heater, a bypass conductor connected in parallel to the at least one fluid heater, a bypass valve configured to control flow through the bypass conductor, at least one flow valve for controlling a fluid flow through the fluid system, at least one pump, at least one pressure sensor for obtaining a pressure of the fluid flow and at least one flow sensor for obtaining a flowrate of the fluid flow. The method includes selectively turning on and off the bypass valve and the at least one pump and obtaining pressure measurements at various times during the execution of the diagnostic method to identify the health of the at least one pressure sensor and the at least one pump.

Abstract: A reporting device for association with an article having power requirements is provided, where the reporting device is capable of performing communications operations, for example to specify the article's power requirements, and power supply using a single pair of conductors. Communications are performed at a lower voltage than the voltage intended for power supply operations. Optionally the communications interface of the reporting device may be disconnected at higher voltages, and the operational circuits of the reporting device may be disconnected at lower voltages, and circuits preventing inversion of voltages across the conductors, or reverse currents when the operational circuits are connected to the conductors may be provided. The reporting device may be used in connection with charging surfaces providing a matrix of conductive surfaces, and supports operation with a corresponding coupling manager.

Abstract: A method for evaluating a rock permeability is disclosed. The method includes generating a binary 2D field of view image; selecting a plurality of regions from the generated image; locating a plurality of pores from the plurality of image seeds; collecting pore data for each pore of the plurality of pores; characterizing the pore data for each pore of the plurality of pores; storing pore data for each pore from the plurality of pores; choosing an image seed of the plurality of image seeds as an initial slice of the 3D image model of the source rock; modulating the pore data for each pore of the plurality of pores relative to the plurality of pores from each image seed of the plurality of image seeds; generating and combining the plurality of new images into a 3D volume to generate the 3D image model of the source rock.