Abstract: A vehicle-roadway interface for power and data exchange with roadway sensors system used along a road surface for use with at least one vehicle, with the system comprising at least one active vehicle-based adapter removably mounted to the at least one vehicle and a plurality of passive roadway-based beacons affixed to or within the road surface. The system utilizes an innovative transmitted power system that allows the vehicle-based adapter to provide power to each of the roadway beacons whenever the equipped vehicle passes within proximity of the roadway beacon, while the vehicle is normally traveling along the roadway. Each of the roadway-based beacons communicates in real time with the vehicle-based adapter to detect, collect, transmit, and receive information concerning at least temperature conditions, moisture conditions, lane management, traffic management, record-keeping of passing vehicles, and high-fidelity geographic location coordinates.

Abstract: The present application provides a method and a system for determining a saturation exponent of a heterogeneous carbonate reservoir. The method comprises: dividing a target reservoir into at least two reservoir types in accordance with a predetermined rule; obtaining a correspondence relationship between a saturation exponent and a bound water saturation in each of the reservoir types; determining the reservoir type to which a to-be-measured core belongs in accordance with the predetermined rule; obtaining a bound water saturation of the to-be-measured core; and calculating the saturation exponent of the to-be-measured core according to the bound water saturation of the to-be-measured core on the basis of the correspondence relationship of the reservoir type to which the to-be-measured core belongs.

Abstract: A degree of similarity in the peak pattern between a mass spectrum obtained for an unknown target substance in a sample and a mass spectrum of a known specific substance is calculated (S4). If the degree of similarity is within a range of 80-60% (“No” in S6), the ratio between the signal intensities at two mass-to-charge ratios characteristic of the specific substance is calculated and compared with a reference value (S7 and S8). If the intensity ratio exceeds the reference value, the target substance is likely to be the specific substance. Therefore, as in the case where the degree of similarity is equal to or higher than 80%, it is concluded that the specific substance is contained in the sample (S10).

Abstract: Inversion of enhanced-sensitivity controlled source electromagnetic data can include combining measured controlled source electromagnetic (CSEM) data onto a common set of virtual receiver positions for each of a plurality of positions of a source along a survey path, determining a steering vector that enhances a sensitivity of the measured CSEM data to a subsurface resistivity variation, and performing an inversion using the measured CSEM data and modeled CSEM data, each having the steering vector applied thereto as a data weight, to better identify the subsurface resistivity variation.

Abstract: Systems and methods of analyzing a user's motion during a swimming session are described. One or more motions sensors can collect motion data of the user. A processor circuit can make motion analysis based on the motion data. The processor circuit can determine if the user's arm swing is a genuine swim stroke. The processor circuit can also determine whether the user is swimming or turning. The processor circuit can also classify the user's swim stroke style. The processor circuit can also determine the user's swim stroke phase. The processor circuit can also determine the user's stroke orbit consistency.

Abstract: A method and system utilizing multi-sensor analysis and data point correlation is provided for predictive monitoring and maintenance of a pressurized fluid cutting system. In a disclosed aspect, multiple sensed characteristics of system operation are correlated to determine a particular failure mode. Identification of the failure mode through active sensor data analysis and correlation facilitates predictive maintenance, minimizes system downtime, and optimizes system output.

Abstract: A data logger (1) for logging values of a physical environment parameter (T) as a function of time (t) includes a sampling subsystem (2), which acquires sample values (21) of the physical environment parameter (T) at sampling moments which are separated by sample intervals, an encoding subsystem (3) which defines data records representing groups of one sample value (21) or a number of successive sample values (21) with variations which meet a first stability criterion, each data record including first identifiable bits (b10-b00) defining a representative value (Trep) for the samples values (21) of the corresponding group and second identifiable bits (b15-b12) indicating the number of samples in the corresponding group and a flag bit (b11) indicating the use of either the first or second interval length, and a memory subsystem (4) for storing the sequence of defined data records into a memory (7).

Abstract: A detector signal is corrected by superimposing the detector signal with a correction signal. For providing a valid correction signal, a sampling pulse is periodically or randomly provided. The sampling pulse serves as the initiator for sampling a process signal. During the sampling, the process signal is observed. In case a pulse at the process signal is detected, the sampling is assumed as not being suitable to correct the detector signal, since the pulse affects the process signal. Otherwise, the process signal is further observed during a validation period to validate whether the sampled process value of the process signal has already been influenced by an upcoming pulse at the process signal. In case the sampling is assumed as valid, the sampled process value is used as a basis for providing the correction signal.

Abstract: A method for detecting an operational malfunction of a renewable energy power plant includes measuring the energy production of the power plant over a time period, designated production period Tprod; calculating an actual production indicator from the production measured during the measuring of the energy production; calculating, from a physical model of the power plant, a theoretical production indicator over the production period Tprod; calculating the ratio between the actual production indicator and the theoretical production indicator over the production period Tprod; the measurement of the performance being given by the value of the ratio between the actual production indicator and the theoretical production indicator.

Abstract: Method of processing real-time PCR data, comprising: c) receiving a plurality of fluorescence melting curve data of real time PCR-experiments performed by a real-time PCR device with at least two fluorescence channels, and configured to perform the following steps multiple times, while increasing a temperature: i) at first moments in time measuring a first temperature value and a first radiation value corresponding to a first fluorescence channel; ii) at second moments in time measuring a second temperature value and a second radiation value corresponding to a second fluorescence channel; d) storing the plurality of temperature values and radiation values; e) determining a plurality of time-shifted second radiation values by linearly interpolating between two measured second radiation values, using weighting factors defined by the measured temperature values; f) after performing step e), calculating color corrected first radiation values, and color corrected second radiation values.

Abstract: A GPS positioning unit acquires GPS positioning data of an object positioned based on a signal from a GPS satellite, and an angular velocity sensor acquires an output signal of the object. A sensitivity coefficient calculation unit sequentially derives a temporary sensitivity coefficient of the angular velocity sensor based on the GPS positioning data and the output signal. The sensitivity coefficient calculation unit derives a sensitivity coefficient for correcting the angular velocity output from the angular velocity sensor, by performing statistical processing on the temporary sensitivity coefficient of the angular velocity sensor that has been sequentially derived. A correlation coefficient calculation unit derives a correlation coefficient based on the GPS positioning data and the output signal. The sensitivity coefficient calculation unit changes a forgetting coefficient to be used when the statistical processing is performed, in accordance with the correlation coefficient.

Abstract: A system for predicting a triggered lightning strike upon an aircraft, which includes an antenna for collecting an RF signal. The system includes one or more processors and a memory coupled to the processor, the memory storing data into a database and program code that, when executed by the one or more processors, causes the system to receive as input a filtered, amplified form of the RF signal collected by the antenna and a non-filtered, amplified form of the RF signal collected by the antenna. The system determines a difference between the filtered, amplified form of the RF signal and the non-filtered and amplified form of the RF signal. The difference is a static signal. The system determines the triggered lightning strike upon the aircraft based on the static signal.

Abstract: A present measurement value p (k) of each of plural characteristic parameters p, representing the characteristics of a secondary battery 220, is input to initial characteristic model to calculate an initial characteristic estimated value p1 (0?k) of a first characteristic parameter as output of the initial characteristic model. A first index value F1 (i) representing the present state of the target is calculated based on a present time series P1 (i) of the measurement value p1 (k) of the first characteristic parameter. A second index value F2 (i) representing a past state of the target is calculated on the basis of a present time series P1 (0?k, i) of the initial characteristic estimated value p1 (0?k) of the first characteristic parameter. A degradation state of the target is determined based on the first index value F1 (i) and the second index value F2 (i).

Abstract: A system and method are provided for correlating well log data and seismic data corresponding to subterranean formations to generate a seismic well tie that preserves blocking schemes associated with the well log data and constraints corresponding to each block of samples. The seismic well tie may be generated by correlating samples of the well log data with the seismic data by shifting at least some of the samples and using the constraint on changes to the sample values to prevent the sample values of each of the one or more blocks of the samples from changing beyond the constraint. In some aspects, the constraints may relate to a constant velocity or a linearly changing velocity within various blocks of the well log data.

Abstract: An encoder comprises first and second sensors which reads first and second tracks, the first and second sensors being arranged in a radial direction to face each other, and a processor which generates a first position signal based on first and second periodic signals based on a signal obtained by reading the first and second tracks by the first sensor, and generates a second position signal based on third and fourth periodic signals based on a signal obtained by reading the first and second tracks by the second sensor, wherein the processor generates an absolute position signal indicating an absolute position of at least one of the scale, the first sensor, or the second sensor based on the first and second position signals and the first and third periodic signals.

Abstract: A first resistivity value and a correlation function relating thickness of a conductive layer having the first resistivity value to a signal from an in-situ monitoring system are stored. A second resistivity value for a conductive layer on a substrate is received. A sequence of signal values that depend on thickness of the conductive layer is received from an in-situ electromagnetic induction monitoring system that monitors the substrate during polishing. A sequence of thickness values is generated based on the sequence of signal values and the correlation function. For at least some thickness values of the sequence of thickness values adjusted thickness values are generated that compensate for variation between the first resistivity value and the second resistivity value to generate a sequence of adjusted thickness values. A polishing endpoint is detected or an adjustment for a polishing parameter is determined based on the sequence of adjusted thickness values.

Abstract: A system for testing a Nakagami fading channel and a verification method thereof are provided. The testing system includes a signal generator, a Nakagami fading channel simulator, and a computer. The signal generator is used to output a sine wave signal whose frequency is f and transmit the sine wave signal to the Nakagami fading channel simulator and the computer. The Nakagami fading channel simulator is used to generate a Nakagami fading channel. The computer is used to perform data processing and analysis. In the verification method, time domain fading characteristics, first-order statistics characteristics, and second-order statistics characteristics of the Nakagami fading channel are respectively verified. Verifying the time domain fading characteristics is verifying a waveform fluctuation rate and a fluctuation range on a time domain under different Nakagami fading factors.

Abstract: Provided are embodiments of operating an injection well of including partitioning a length of a sample of formation rock of the reservoir into length increments and determining (for a time increment) fluid saturations of the length increments based on fluid injected. The determining including, for each length increment, determining a volume of fluid injected into, fractional flow of fluid produced from, and a fluid saturation for the length increment during the time increment. The method including determining whether the volume of the fluid injected is saturated into the length of the sample during the time increment, and if so determining a flood front saturation model for the reservoir based on the fluid saturations and a fluid injection rate corresponding to the flood front saturation model, and operating the injection well according to the fluid injection rate.

Abstract: In an embodiment, a system may comprise a communications network and processing logic. The processing logic may acquire information regarding an incident, identify a first mobile resource (MR) that may respond to the incident based on a type of the incident and a capability associated with the first MR. The processing logic may further identify a generic path scenario to the incident based on a location of the MR and a location of the incident. The processing logic may identify that the first MR is preferred over a second MR with respect to responding to the incident and assign the first MR to the incident. The processing logic may send a message via the communications network to the first MR to notify the first MR that it has been assigned to the incident.

Abstract: A method for calibrating phase-frequency characteristics of low frequency accelerometer based on time-spatial synchronization, comprises: measuring excitation displacement of the low frequency accelerometer to realize excitation acceleration measurement of the low frequency accelerometer; realizing alignment of the excitation acceleration signal of the low frequency accelerometer with output voltage signal of the low frequency accelerometer in the spatial domain based on TSS technology, fitting the excitation acceleration signal and the output voltage signal respectively by SAM, and calculating phase ?F of the excitation acceleration signal at a zero position of horizontal long-stroke shaker and phase ?Z of the output voltage signal at the time when a zero encoder on the shaker outputs pulse; and calculating the sensitivity phase of the low frequency accelerometer with ?Z and ?F, and determining phase-frequency characteristics of the low frequency accelerometer by calibrating the sensitivity phases at differe