Abstract: Techniques are provided for ground distance calculations using sanitized location data. One method comprises a service provider obtaining: (i) a geographic zone identifier of multiple predefined geographic zones of a first location of a user, and (ii) a first distance between the first location of the user and multiple reference points that define boundaries of the predefined geographic zones; the service provider obtaining: (i) a geographic zone identifier of the multiple predefined geographic zones of a second location of the user, and (ii) a second distance between the first location of the user and the multiple reference points; and computing a ground distance between the first location and the second location by selecting a subset of the multiple reference points based at least in part on the relative geographic zones of the current and second locations. The user may: (i) estimate the first location and calculate the first distance; and/or (ii) compute the first and second distances.

Abstract: In an example embodiment, motion is detected with an IMU utilizing standard deviation. Specifically, an IMU may obtains IMU measurements. An IMU motion detection process may accumulate a particular number of IMU measurements over a time interval to calculate an absolute magnitude of earth rate (ERimu) value and an absolute magnitude of normal gravity value (GNimu). The values calculated may be referred to as a sample. The IMU motion detection process may create sample rolling histories based on a particular number of samples, e.g., consecutive samples. The IMU motion detection process may then calculate standard deviation values for a sample rolling history based on the ERimu and GNimu values included in the sample rolling history. The IMU motion detection process may compare the standard deviation values to respective motion threshold values, which may be adaptive, to determine if a body of interest, e.g., vehicle, is moving or is stationary.

Abstract: A heading determination device comprises data input circuitry configured to obtain magnetic field sensor data sensed by a magnetic field sensor in sensor coordinates, position input circuitry configured to obtain a position estimate of the magnetic field sensor, and estimation circuitry configured to derive, from a magnetic map, a local azimuth distortion value in a reference coordinate system at the current position of the magnetic field sensor indicated by the obtained position estimate and to estimate the heading of the magnetic field sensor in the reference coordinate system based on the obtained magnetic field sensor data and the derived local azimuth distortion value.

Abstract: A system is provided for performing measurements in a modular application environment. The system comprises a digital measurement data recorder adapted to create raw digital data with respect to a measurement. The system further comprises at least two modular applications, adapted to perform at least two different data processing schemes, where one comprises a measurement unit module and the other comprises an application unit module. In this context, the measurement unit module is adapted to capture or process the raw digital data from the digital measurement data recorder. Moreover, the application unit module is adapted to process raw digital data and/or measurement results from the digital measurement data recorder into a user interface.

Abstract: Broadly speaking, embodiments of the present techniques provide methods for inspecting a neural network, such that a neural network can be made more transparent. The inspection is performed with respect to each decision or output made by the neural network. The method comprises outputting a dependency graph, for each inspection/decision. Each dependency graph shows which neurons are used to make each individual decision made by the neural network, and how those neurons interact with or relate to each other. Specifically, the dependency graph shows the dependencies between neurons in adjacent layers. By understanding which neurons are used to make individual decisions, and the dependencies between neurons, the neural network can be better understood, audited, optimised, and debugged, for example.

Abstract: A liquid behavior suppression device in which the inside of a liquid container is partitioned in a direction orthogonal to the central axis, liquid is held on the bottom side of the liquid container, and a plurality of holes extending in the axial direction are formed.

Abstract: Device and method for regulating a flow rate of gas intended to supply a propulsion apparatus for a spacecraft comprising xenon tank, a circuit comprising a withdrawing pipe having an upstream end connected to the tank and a downstream end connected to a propulsion member, the withdrawing pipe comprising an isolation first valve, a regulating second valve and a member for measuring the pressure downstream of the regulating second valve. The regulating second valve regulates the flow rate and/or the determined pressure according to the pressure measured. The regulating second valve is a proportional valve of electrically operated variable throughout PCV type.

Abstract: Provided is a novel analysis method which, when a chemical sensor is used to perform a measurement, makes it possible to identify a sample without controlling or monitoring a change in the time the sample is introduced. According to the present invention, a sample can be identified without knowing a change in the time the sample is introduced, by using a chemical sensor having a plurality of channels each having different characteristics to perform a measurement, and performing an analysis on the basis of responses obtained from each channel.

Abstract: An inhalation component generation device including: a load configured to vaporize or atomize an inhalation component source by electric power from an electric power source; a user interface; and circuitry configured to obtain a value representing a remaining amount of the electric power source, obtain an operation requesting signal to the load, and generate an instruction for operating the load; cause the user interface to perform a first notification in a case that the value is equal to or greater than a first threshold value; cause the user interface to perform a second notification in a case that the value is less than the first threshold value and equal to or greater than a second threshold value that is less than the first threshold value; and cause the user interface to perform a third notification in a case that the value is less than the second threshold value.

Abstract: A system including: a controller configured to: receive bale-location-data representative of the location of a plurality of bales in a field; receive bale-property-data representative of one or more physical properties of each of the plurality of bales; and determine bale-pick-up-data based on the bale-location-data and the bale-property-data. The bale-pick-up-data is associated with an operation to pick up the bales from the field.

Abstract: Method and system for merging measurements of flight parameters of an aircraft. The system is for merging measurements of flight parameters of an aircraft, linked to one another by at least one equation, and includes at least one acquisition module for acquiring at least one measurement of flight parameters, a scoring module for attributing a first validity score to the equations by checking whether the measurement or measurements of flight parameters are a solution or solutions of the equation or equations, a scoring module for attributing a second validity score to failure scenarios involving one or more acquisition modules from the first validity scores, a determination module for determining the validity of the measurements of flight parameters from the second validity scores, consolidation module for consolidating the measurements of flight parameters, a transmission module for transmitting the consolidated measurements of flight parameters to a user device.

Abstract: A system is configured to track and store system and event data for various computing devices. The system is configured to associate the various computing devices with profiles based at least in part on characteristics of the computing devices. The system is further configured to compare performance data and/or performance metrics for particular computing devices having a particular profile against all other devices that share the particular profile. The system then displays this comparison to a user of the particular computing device, substantially automatically diagnoses an issue with the particular computing device based on the performance and system event data, and/or enables the user to diagnose the problem based on the performance and system event data.

Abstract: A method of drilling tendency estimation including receiving, at a processor, one or more directional sensor measurements from a drilling tool disposed on a drill string, processing, at the processor, the one or more directional sensor measurements to determine an actual wellbore trajectory over a defined interval, and identifying, at the processor, a set of directional disturbance parameters by optimization of the actual trajectory of the drilling tool, steering inputs, and/or a set of pre-defined directional disturbance parameters of the drilling tool.

Abstract: Disclosed is a method for detecting and identifying toxic and harmful gases based on machine olfactory. Information about the toxic and harmful gases is firstly collected through the machine olfactory system and then analyzed through a Selected Linear Discriminate Analysis (SLDA) combined with a Markov two-dimensional distance discriminant method to identify various toxic and harmful gases. The algorithm disclosed in the invention extracts the characteristic information of the sample data, and then fast processes and identifies the information as a linear recognition algorithm does, having wide applications in the field of machine olfaction, especially in detecting and identifying the toxic and harmful gases in real-time based on machine olfaction. The algorithm involves low complexity and high recognition efficiency.

Abstract: System and methods of controlling diverter placement during stimulation treatments are provided. Data relating to at least one downhole parameter is obtained for a current treatment stage within a subsurface formation. A response of the diverter to be injected during a diversion phase of the current stage on the downhole parameter is estimated, based on the obtained data and a diagnostic data model. Values for diversion control parameters are calculated, based on the estimated response. As the diverter is injected into the formation, an actual response of the diverter is monitored. Upon determining that a difference between the actual and estimated response exceeds an error tolerance threshold, the model is updated. The model is further updated over subsequent iterations of the diversion phase when the actual response is less than the estimated response. Subsequent diversion phases are performed over a remainder of the current stage, based on the updated model.

Abstract: A contaminated air exposure level inferring apparatus may include a receiver for receiving a fine dust concentration measured from a fine dust sensor of the wearable device or the portable air purifier, an exposure level classifier for inferring a contaminated air exposure level of a user holding the wearable device or the portable air purifier based on the measured fine dust concentration, and a communicator for communicating with a server. The server may include an artificial intelligence model learner for generating an artificial intelligence model that has learned data on the measured fine dust concentration through a deep neural network. According to the present disclosure, it is possible to infer the contaminated air exposure level of the user of the wearable device or the portable air purifier by using artificial intelligence (AI), a contaminated air exposure level inferring technology based on the artificial intelligence, and a 5G network.

Abstract: A system, for measuring a physical quantity representative of air quality in an observation zone, comprises a mapping with a set (V) of modeled values representative of the physical quantity; means for measuring the physical quantity and possessing N positions or N trajectories in the observation zone to exhibit a spatial distribution (Sopt); and means for calculating Sopt. The calculating means are configured to construct a mesh comprising G points in the observation zone; calculate, for a given spatial distribution, an estimator ({circumflex over (V)}) of the set V for each of the G points in the mesh; calculate a cost function representative of the difference or of the likelihood between {circumflex over (V)} and the V values extracted at the G points; and extract the Sopt to minimize or maximize the cost function.

Abstract: A system and method for managing sensors including determining health operation states of the sensors correlative with sensor accuracy, classifying the sensors by their respective health operation state, and teaming two sensors each having a health operation state that is intermediate to give a team having a health operation state that is healthy. The sampling frequency of the sensors to determine sensor accuracy may be dynamic.

Abstract: A method and system of maintaining a trained neural network for mobile device indoor navigation and positioning. The method comprises receiving a set of magnetic measured parameters acquired at a mobile device positioned at a first location of an indoor area; computing, at an output layer of a trained neural network, an output error based on comparing a magnetic input feature in accordance with the magnetic measured parameters to a magnetic output feature generated at the output layer, the magnetic output feature being generated at least in part based on a matrix of weights associated with at least a first neural network layer; and if the output error exceeds a threshold value, re-training the neural network based at least in part upon re-initializing the matrix of weights associated with the at least a first neural network layer.

Abstract: A method for precisely applying chemicals targeted by digital maps developed from remotely sensed data, including: obtaining EOS data through a growing season of a crop growing in a field; processing the EOS data to reflectance values; removing error-inducing effects of atmospheric alteration from the processed EOS data; calculating from the processed EOS data a crop performance index that indicates one or more poor performing areas of the field; generating one or more maps of the crop performance index to allow a user to determine whether each of the one or more poor performing areas of the field are due to biological pests instead of topographic or soil constraints in discrete locations of the field; guiding the user to the one or more poor performing areas of the field using the one or more maps to allow the user to scout the one or more poor performing areas of the field to confirm and identify the biological pests; and providing guidance for a chemical application at the one or more poor performing areas