Abstract: A method, apparatus, and product comprising: obtaining a representation of a quantum circuit; determining that a qubit is a candidate auxiliary qubit by estimating that a state of the qubit at a first cycle is identical to a state of the qubit at a second cycle; identifying a function section in the quantum circuit based on the qubit, the function section commencing at a beginning cycle, the beginning cycle is ordered before the second cycle, the function section ending at an ending cycle, the ending cycle is ordered after the first cycle, the ending cycle is ordered after the commencing cycle, the function section utilizing the qubit as an auxiliary qubit; and outputting an indication of the function section.

Abstract: Provided is an aircraft docking guidance system using a three-dimensional (3D) laser scanner, including a laser scanner configured to acquire data related to aircraft docking guidance and docking control; a database configured to store information related to specifications and characteristics of each aircraft type that is a target of the aircraft docking guidance and docking control using the laser scanner; a communicator configured to transmit and receive information between the laser scanner and the database; and a data analysis decision algorithm processing unit configured to determine information of an object by comparing image information acquired through the laser scanner and information stored in the database.

Abstract: A derivation method includes: an acquisition step of acquiring time-series data including a physical quantity generated at a predetermined observation point in a structure as a response caused by a movement of a formation moving object formed with one or more moving objects on the structure; an environment information acquisition step of acquiring, as environment information, information on a structure length that is a length of the structure, a moving object length that is a length of the moving object, and an installation position of a contact portion of the moving object with the structure; a fundamental frequency derivation step of deriving a fundamental frequency of the time-series data based on the time-series data; a passing period derivation step of deriving a passing period during which the formation moving object passes through the structure based on the time-series data; and a number derivation step of deriving the number of the moving objects included in the formation moving object based on the en

Abstract: A method for developing or improving a process for producing a product from a material comprising steps of acquiring the composition for at least two slurries as raw material data (17) for the CMP based manufacturing process and its relevant parameters (2) by using a Data Collecting computer (9); physically performing specific method steps of a CMP process; measuring relevant parameters of the used slurries and the physically performed CMP process to determine the CMP process performance by using the Data Collecting computer (9); analyzing the measured data about the relevant parameters with a specific software performed on an Analyzing computer (11) by creating for the software and applying with it a predictive model using Machine Learning to understand the intercorrelation of the different parameters and using the results to improve the CMP process performance and the resulting product quality of the CMP based manufacturing process.

Abstract: Techniques to suggest chemical compounds with a desired flavor profile or that can be used to recreate functional properties of a target chemical compound, using artificial intelligence, are disclosed. An artificial intelligence model is trained on source chemical compounds with known flavors. The artificial intelligence model learns relationships between the source chemical compounds and their known flavors and generates source chemical compound projected embeddings and true flavor projected embeddings. From either the source chemical compound projected embeddings or the true flavor projected embeddings, one or more chemical compounds for the identified target chemical compound or the identified desired flavor profile may be determined based on a similarity search.

Abstract: A device to detect unauthorized opening of a casing is disposed in the upper or lower casing of an apparatus. The device includes a base plate with vibrator, carrier, and sensor on the lower case, and receiving grooves. Balls of a lesser number than the number of receiving grooves are installed in the grooves in a predetermined arrangement by the manufacturer. A waveguide element and magnet, fixed on the upper casing, is in contact with the balls, and when the waveguide is vibrated, the number and locations of the balls govern the form of a setting signal derived therefrom at the factory. If the upper casing is separated from the lower casing, the waveguide element separates from the carrier, the magnetic element gathers the balls, the predetermined arrangement being thereby lost, when tested by an authorized repair engineer.

Abstract: The present invention is a method for determining the amount of pollutant emissions (Q) from at least one vehicle over a road network section, wherein a pollutant emission model (MFE) is constructed by machine learning (APP) using macroscopic data (MAC) of a learning road network and traffic data (TRA). This model (MFE) is then applied to a road network section.

Abstract: A NMR tool for use in a wellbore in a subterranean region includes a magnet assembly to produce a magnetic field in a volume in the subterranean region; an antenna to produce an excitation in the volume, and to receive a plurality of spin echo waveforms from the volume; and a computing system coupled to the antenna and configured to: apply a first acquisition window having a first duration to the spin echo waveforms to generate a corresponding first echo train including a first plurality of NMR echo signal amplitudes; apply a second acquisition window having a second duration different than the first duration, to at least some of the spin echo waveforms to generate a corresponding second echo train including a second plurality of NMR echo signal amplitudes; and determine a relaxation parameter based on a single inversion of the first and second echo trains.

Abstract: Automatic synchronization of a magnetic field transmitter and receiver is performed to resolve phase ambiguity so that phase information, used in determining the position and orientation of the receiver, may be derived and maintained. Inertial measurement unit (IMU) information is used to infer gravity-relative orientations of the transmitter and receiver, which are then used as constraints in the synchronization process to determine the position and orientation of the receiver from all four possible solutions or variations. The variation that best conforms to the IMU orientations is chosen as the sync candidate.

Abstract: A method of determining a peak intensity in an optical spectrum is described. The method includes producing a two-dimensional array of spectrum values by imaging the optical spectrum onto a detector array. An offset using an actual location and an expected location of a peak of an interpolated subarray is used to adjust an expected location of another peak that is within another two-dimensional subarray. Interpolated spectrum values are then used to produce a peak intensity value of the second peak.

Abstract: [Problem] When a beam is emitted from inside a pipe onto an inside surface of the pipe using an ultrasonic probe in which flat plate-like transducers are arranged, since the transduces are in the shape of flat shape, signals reflected from the tubular pipe wall do not always return straight to the transducers, and scattering and interferences occurs in the returning waves.

Abstract: Power and controller integrated circuits for electric vehicle applications are enabled. For example, a system can comprise a plurality of battery cells, and a plurality of application specific integrated circuits (ASICs) electrically coupled to the plurality of battery cells, wherein one or more ASICs of the plurality of ASICs comprises a respective power ASIC, and wherein the ASICs comprise respective bidirectional direct current to alternating current (DC-AC) converters and charge or discharge the plurality of battery cells.

Abstract: A method for coordinate error correction with a three-dimensional (3D) lidar scanner. The error source that affects the measurement accuracy of the three-dimensional coordinate is determined by building an error model, and then the error is modified to improve the measurement accuracy of the three-dimensional lidar scanner. The error correction method includes: building a theoretical calculation model, analyzing the source of measurement error, building an error model, solving the error model and implementing coordinate correction. During building the error model, 26 error factors are considered to obtain a calculation expression of the three-dimensional Cartesian coordinate. The calculation expression includes the amount of errors, the azimuth angle, the pitch angle and the distance.

Abstract: Embodiments are directed to parameter adjustment for sensors. A calibration model and a calibration profile for a sensor may be provided. Calibration parameters associated with the sensor may be determined based on the calibration profile. The sensor may be configured to use a value of the calibration parameter based on the calibration profile. Trajectories may be generated based on a stream of events from the sensor. Metrics associated with the sensor events or the trajectories may be determined. If a metric value may be outside of a control range, further actions may be iteratively performed, including: modifying the value of the calibration parameter based on the calibration model; configuring the sensor to use the modified value of the calibration parameter; redetermining the metrics based on additional trajectories; if the metric is within a control range, the iteration may be terminated and the calibration profile may be updated.

Abstract: A system of collating a spectral data of an arbitrary material with spectral data of existing materials to identify the kind of the arbitrary material comprises a one-dimensional CNN processor calculating a characteristic value vector based on a spectral data of a material by a one-dimensional convolution neural network algorithm, and a metric learning processor computing a probability that the kind of the material is each kind of the existing materials from the characteristic value vector by a deep metric learning algorithm. The processors learn with the spectral data of existing materials to compute a probability for the kind of each material such that the probabilities for the kinds of the respective materials inputted for data for learning becomes maximum. When the data of the arbitrary material is inputted, the kind giving the maximum probability is identified as the kind of the arbitrary material with high precision.

Abstract: Disclosed is a material testing system that includes a fixture, a frame, a load sensor, a displacement sensor and a computer system coupled to the material testing system. The computer system includes one or more processors, one or more memory devices coupled to the one or more processors, one or more computer readable storage devices coupled to the one or more processors, wherein the one or more storage devices contain program code executable by the one or more processors via the one or more memory devices to implement a method for detecting a change in a material testing sequence. A computer program product that implements a method for detecting a change in a material test sequence, and methods for detecting a change in a material test sequence or fatigue test is further disclosed.

Abstract: A working machine includes one or more batteries driving movement of the working machine within a work area. The working machine includes a controller configured to receive criteria relating to one or more operational characteristics of the working machine and determine one of a plurality of operation modes for the working machine based upon the criteria and a remaining charge of one or more batteries.

Abstract: A sub route flow is a route flow different from a main route flow in testing of a semiconductor product. A method for configuring a sub route flow includes: determining at least one test item of the semiconductor product; obtaining a first test template corresponding to the test item, wherein the first test template includes preset test parameters; displaying the preset test parameters; receiving test parameters adjusted according to the preset test parameters; configuring current test parameters of the test item according to the adjusted test parameters; and forming the sub route flow of the semiconductor product according to the current test parameters of the test item.

Abstract: A method and system for measuring a refractive index of a particle sample by using a polarization difference of scattered light distribution. The method comprises: acquiring a vertically polarized scattered light energy distribution E? and a horizontally polarized scattered light energy distribution E?, and calculating a scattered light energy distribution polarization difference Ed; according to Mie theory, calculating a vertically polarized scattered light energy matrix (aa) and a scattered light polarization difference matrix (bb) with k×l dimensions under a supposed refractive index value of n(i); calculating a particle size distribution W(i) of a measured particle; acquiring a polarization difference of scattered light distribution (cc); calculating a RMS error ?(j) of Ed and (cc); changing the refractive index value; and repeating the process over and over until finding a refractive index value with the smallest RMS error, wherein the refractive index is the true refractive index of the particle sample.

Abstract: A method for measuring health of a motor includes: (a) measuring, by an electrocardiogram sensor, vibration of the motor to obtain at least two electrical signals with each of the at least two electrical signals representing a harmonic of the vibration of the motor; (b) comparing each of the at least two electrical signals with a corresponding baseline; (c) based on the comparison, determining whether any one of the at least two electrical signals includes one or more artifacts wherein an artifact in a respective one of the at least two electrical signals is a deviation from a respective one of the corresponding baseline; and (d) based on any one of the at least two electrical signals including the one or more artifacts, providing an estimated time to failure for the motor.