Abstract: An electronic fitness device includes a housing, a first optical transmitter array, a first optical receiver, and a second optical receiver. The first optical transmitter array is positioned at a first location on a bottom wall and may output a plurality of optical signals that pass through a user's skin. The first optical receiver is positioned at a second location and may receive the optical signals from the first optical transmitter array such that the optical signals travel along a first signal path and a first distance. The second optical receiver is positioned at a third location and may receive the optical signals from the first optical transmitter array such that the optical signals travel along a second signal path and a second distance, wherein the second signal path is roughly orthogonal to the first signal path and the second distance is different from the first distance.

Abstract: Systems and methods relate to borehole seismic studies. Traditionally, borehole seismic studies are conducted using geophones. Seismic acquisition can be performed using fiber optic Distributed Acoustic Sensing (DAS). Because DAS measures dynamic relative displacement over a gauge length, which is different from particle velocity, DAS data can be converted into an equivalent geophone output response. Operations include converting DAS data into distributed velocity, and then, converting the velocity output into an equivalent geophone response. Various aspects include separating the data into interleaving subsets, integrating each subset along the spatial coordinates, selecting a window width over which the median of each subset will be calculated and subtracted from the data, performing a spatial average or low-pass filtering over contiguous values, performing a time-domain low-pass filtering, and performing the velocity-to-geophone conversion operation.

Abstract: An information processing system having a processor and a memory device coupled to the processor, wherein the memory device includes a set of instruction that, when executed by the processor, cause the processor to receive a multi-dimensional grid of acoustic or elastic impedances determined from seismic survey data associated with a subterranean formation, receive elastic property data that describes elastic property characteristics used to sort pseudo-components, and wherein the respective pseudo-components are formed of a combination of two or more lithologies.

Abstract: A disclosed downhole drilling system may include a drill bit electrically coupled to a pulse-generating circuit to generate electrical arcs between first and second electrodes during pulsed drilling operations, a sensor to record responses to electromagnetic or acoustic waves produced by the electrical arcs, and a sensor analysis system. The electrical arcs occur at different azimuthal locations between the electrodes. The sensor analysis system may obtain a plurality of measurements representing first responses recorded by the sensor during a pulsed drilling operation, generate a model of a source of the electrical arcs based on the measurements, obtain an additional measurement representing a second response recorded by the sensor during the operation, and determine a characteristic of a formation near the drill bit using an inversion based on the model and the additional measurement. The determined characteristic may be used to determine dip parameters or construct images of the formation.

Abstract: The disclosure is directed to a method of utilizing an acoustic sensing cable, such as a fiber optic distributed acoustic sensing (DAS) cable, in a borehole to detect microseismic events and to generate three dimensional fracture plane parameters utilizing the detected events. Alternatively, the method can use various categorizations of microseismic data subsets to generate one or more potential fracture planes. Also disclosed is an apparatus utilizing a single acoustic sensing cable capable of detecting microseismic events and subsequently calculating fracture geometry parameters. Additionally disclosed is a system utilizing a processor to analyze collected microseismic data to generate one or more sets of fracture geometry parameters.

Abstract: A predictive analytics apparatus, engine, system and method capable of providing real time analytics in a manufacturing system. The apparatus, engine, system and method may include a data input capable of receiving raw data output from at least one machine operable to effect the manufacturing system embodiments, and a processor associated with a computing memory and suitable for executing code from the computing memory.

Abstract: A computer-implemented method for recommending agricultural activities is implemented by an agricultural intelligence computer system in communication with a memory. The method includes receiving a plurality of field definition data, retrieving a plurality of input data from a plurality of data networks, determining a field region based on the field definition data, identifying a subset of the plurality of input data associated with the field region, determining a plurality of field condition data based on the subset of the plurality of input data, identifying a plurality of field activity options, determining a recommendation score for each of the plurality of field activity options based at least in part on the plurality of field condition data, and providing a recommended field activity option from the plurality of field activity options based on the plurality of recommendation scores.

Abstract: A self-organizing data marketplace includes a plurality of data collectors and a corresponding plurality of industrial environments, wherein each of the plurality of data collectors is structured to collect detection values from at least one sensor of the corresponding industrial environment, a data storage structured to store a data pool comprising at least a portion of the detection values, a data marketplace structured to self-organize the data pool, and a transaction system structured to interpret a user data request, and to selectively provide a portion of the self-organized data pool to the user in response to the user data request.

Abstract: The invention relates to a system for analyzing an electronic device including a signal generator configured to generate at least one composite signal within a test frequency range. The composite signal includes narrowband signals, each narrowband signal has a center frequency within a subrange of the test frequency range, a transmitter configured to transmit the composite signal to the electronic device, and an analyzing unit configured to analyze a response of the electronic device to the composite signal.

Abstract: In some embodiments, correcting an alignment error between an end effector of a tool associated with a slave and a master actuator associated with a master in a robotic system involves receiving at the master, master actuator orientation signals (RMCURR) representing the orientation of the master actuator relative to a master reference frame and generating end effector orientation signals (REENEW) representing the end effector orientation relative to a slave reference frame, producing control signals based on the end effector orientation signals, receiving an enablement signal for selectively enabling the control signals to be transmitted from the master to the slave, responsive to a transition of the enablement signal from not active state to active state, computing the master-slave misalignment signals (R?) as a difference between the master actuator orientation signals (RMCURR) and the end effector orientation signals (REENEW), and adjusting the master-slave misalignment signals (R?) to reduce the alignmen

Abstract: A smart conversion and calibration of the defect coordinate, diagnosis, sampling system and the method thereof for manufacturing fab is provided. The intelligent defect diagnosis method includes receiving pluralities of defect data, design layout data, analyzing the defect data, design layouts, by a Critical Area Analysis (CAA) system. This method utilizes the precisely calibrated coordinate, the defect layout pattern, and the higher accurate calibrated defect size value. So, a more precise killer defect index can be generated with calibrated coordinate deviation calibration and defect size deviation calibration. When judging a defect relating to short circuit or open circuit failure probability, the defect failure result is more accurate and less incorrect judgment.

Abstract: A smart conversion and calibration of the defect coordinate, diagnosis, sampling system and the method thereof for manufacturing fab is provided. The intelligent defect diagnosis method includes receiving pluralities of defect data, design layout data, analyzing the defect data, design layouts, by a Critical Area Analysis (CAA) system. This method utilizes the precisely calibrated coordinate, the defect layout pattern, and the higher accurate calibrated defect size value. So, a more precise killer defect index can be generated with calibrated coordinate deviation calibration and defect size deviation calibration. When judging a defect relating to short circuit or open circuit failure probability, the defect failure result is more accurate and less incorrect judgment.

Abstract: In an example, the technique also detects and measures vital signs of each human target by continuous, non-intrusive method. In an example, the vital signs of interest include a heart rate and a respiratory rate, which can provide valuable information about the human's wellness. Additionally, the heart rate and respiratory rate can also be used to identify a particular person, if more than two target humans living in a home. Of course, there can be other variations, modifications, and alternatives.

Abstract: Data integration and distribution systems. A system includes a graphical user interface (GUI). Weather and market data are collected. A weather symbology including symbol elements linked to segments of the collected weather data and rules for generating weather symbology instructions are stored. The GUI is generated for display on a user device. A weather symbology instruction is determined based on at least one requested symbol element indicated in a weather data request and the rules. A weather forecast dataset is created from among the collected weather data based on the weather symbology instruction. A presentation package comprising the weather forecast dataset and the collected market data is generated such that the weather forecast dataset is integrated with the collected market data. The presentation package is presented on the GUI and updated concurrent with changes at least one of the weather data, the market data and user input.

Abstract: A fugitive gas detection system includes an inertial measurement assembly that measures a change in position of the inlet of a gas analyzer and applies a time slip to concentration data detected by an analyzer to generate a time series of the concentration of the gas in three-dimensional space. Applying statistical methods, the relative location of the source of the fugitive gas can be established from the time series. Additionally, in some embodiments, the data may be interpolated to establish a map of a plume of the fugitive gas.

Abstract: Systems and methods for modeling a temperature in a thermal package in a lane of commerce using forecast weather data or estimating the actual temperature history in a thermal package using actual weather data. Lane temperature is recognized and used as an intermediate calculated variable derived from weather data. Machine learning techniques estimate the lane temperature to determine a model. Product temperature in thermal packaging is estimated by simultaneously solving a set of heat transfer equations. The above is used to with forecast weather data to calculate a lane temperature and then calculate an expected product temperature based on the time and date of shipment. This product temperature curve is then analyzed with a set of decision rules to improve decision making on when to make a shipment and the best packaging to use.

Abstract: A container production management system including: an adding device (1) which adds object identification code (D) indicating an object identifier (ID); a processing process reader (2a,2b) which reads the object identifier indicated by the object identification code (D) added to the objects to be processed; an inspection process reader (3) which reads the object code (D) added to the object to be inspected in an inspection process; and a computing unit (4) which creates a database (5) in which the object identifier (ID), information on at least one processing process, and inspection results in the inspection process are linked with each other, wherein the adding device (1) adds the object identification code (D) to the material member for each container, or to a portion to be the material member among raw materials (S) before the individual material member is separated therefrom.

Abstract: A smart conversion and calibration of the defect coordinate, diagnosis, sampling system and the method thereof for manufacturing fab is provided. The intelligent defect diagnosis method includes receiving pluralities of defect data, design layout data, analyzing the defect data, design layouts, by a Critical Area Analysis (CAA) system. This method utilizes the precisely calibrated coordinate, the defect layout pattern, and the higher accurate calibrated defect size value. So, a more precise killer defect index can be generated with calibrated coordinate deviation calibration and defect size deviation calibration. When judging a defect relating to short circuit or open circuit failure probability, the defect failure result is more accurate and less incorrect judgment.

Abstract: At least one example embodiment discloses a section of an electronic-vaping device including a pressure sensor configured to measure a current ambient pressure, the pressure sensor further configured to output the current ambient pressure measurement in accordance with a read request frequency, and a controller configured to determine a mode of operation of the electronic-vaping device, control the read request frequency based on the determined mode of operation, and detect a threshold pressure change based on the current ambient pressure and a baseline pressure.

Abstract: High power impedance tuners suffer from intense heating of the center conductor of the tuner airline (slabline), due to dissipated RF and DC power and, in addition to high electric field between the metallic tuning probe (slug) and the center conductor, also from associated thermal expansion causing sagging of the center conductor and possible electrical short. If the thermal expansion cannot be accommodated by structural means, the center conductor is cooled using forced air created by ventilators or re-circulating low loss dielectric liquid flowing through the slabline. Premature tuner aging through continuous airflow or cooling liquid circulation is avoided using real time monitoring of dissipated (heating) power and regulation of the cooling mechanism.