Abstract: A test and measurement instrument, such as an oscilloscope, having a Nyquist frequency lower than an analog bandwidth, the test and measurement instrument having an input configured to receive a signal under test having a repeating pattern, a single analog-to-digital converter configured to receive the signal under test and sample the signal under test over a plurality of repeating patterns at a sample rate, and one or more processors configured to determine a frequency of the signal under test and reconstruct the signal under test based on the determined frequency of the signal, the pattern length of the signal under test, and/or the sample rate without a trigger.

Abstract: A variational autoencoder (VAE) has been developed to learn a continuous numerical, or latent, representation of molecular structure to expand reference libraries for small molecule identification. The VAE has been extended to include a chemical property decoder, trained as a multitask network, to shape the latent representation such that it assembles according to desired chemical properties. The approach is unique in its application to metabolomics and small molecule identification, focused on properties that are obtained from experimental measurements (m/z, CCS) paired with its training paradigm, which involves a cascade of transfer learning iterations. First, molecular representation is learned from a large dataset of structures with m/z labels. Next, in silico property values are used to continue training. Finally, the network is further refined by being trained with the experimental data.

Abstract: A method of estimating a state of health of a battery, the method being performed by a computing apparatus, the method including: preparing a trained artificial neural network; generating input data by measuring at least one parameter of a battery; acquiring a plurality of output values each corresponding to a plurality of classes by inputting the input data into the trained artificial neural network; and generating a state of health estimation value of the battery using a plurality of preset health state sections each corresponding to the plurality of classes and the plurality of output values each corresponding to the plurality of classes.

Abstract: Systems, metrology modules and methods are provided, which identify, per wafer site, components of residuals from measurement of metrology metric(s), and optimize measurement parameters for each site, according to the identified residuals' components. Certain embodiments utilize metric landscapes to identify sensitive sites and/or to identify sites exhibiting highest accuracy, and corresponding metrics may be combined over the wafer to further enhance the metrology performance. Zonal analysis may be used to reduce the systematic errors, and disclosed per-site analysis may be used to further reduce the non-systematic error components, and relate the remaining residuals components to process variation over the wafer.

Abstract: Symbolic backend for execution of quantum programs is provided. A parser receives an input qasm and parses it as a circuit graph. A layering component segments the circuit graph into multiple layers. An evaluation engine reads respective layers, translates the respective layers into a mathematic expression over qubits, and performs a simplification of the input qasm. A checker determines whether the input qasm and the simplified qasm are equivalent.

Abstract: A method includes: receiving, from a plurality of sensors, detection signals indicative of fluid flow, the fluid flow having a direction and a speed, the plurality of sensors having respective mutual positions and distances between pairs of sensors in the plurality of sensors; determining, as a function of the detection signals, a first detection sensor in the plurality of sensors detecting the fluid flow prior to other sensors in the plurality of sensors; determining time delays between detection of the fluid flow by a first sensor and by a second sensor in each pair of sensors in the plurality of sensors; and determining a fluid flow velocity vector indicative of the direction and the speed of the fluid flow as a function of the mutual positions and distances between the pairs of sensors in the plurality of sensors and the time delays.

Abstract: An optical pulse measuring method measuring an optical pulse generated from a pulse light source is provided. The method includes: splitting the optical pulse and then focusing them at a measuring point, so as to generate gas plasma by the autocorrelation of the split optical pulses; receiving the sound signal from the gas plasma and generate a plasma sound signal; and using the plasma sound signal to calculate the characteristics of the optical pulse. A measuring device is also provided.

Abstract: The present disclosure discloses a method for measuring a mudflat elevation based on remotely sensed water content, comprising steps of: measuring a spectral value of a soil surface in a mudflat area using a full-band spectrometer, analyzing a relationship between the spectral value and a soil water content of the mudflat area; building a remotely sensed water content retrieval model using a statistical correlation method; selecting a water sensitive waveband in the remote sensing data, and retrieving the soil water content of the mudflat area; analyzing a relationship between the soil water content and the mudflat likewise using the statistical correlation method; building a relational model between the mudflat water content and an elevation, and applying the model to a satellite image to obtain the mudflat elevation.

Abstract: In accordance with various embodiments of the disclosed subject matter, a system and method is configured for generating maintenance events in response to threshold levels of accumulated corrosive stresses experienced by assets or components thereof based on environmental and weather data correlated to respective locations visited and a model of corrosive susceptibility of the assets or components thereof.