Abstract: The invention concerns a continuous monitoring method and system for forest stock and its execution method, including: 1, sample plots sampling design; 2, intelligent sample plots layout; 3, automatic sample plot data collection; 4, dynamic update of stock: detecting plot type change subclasses through remote sensing, and updating graphic and attribute forest resource change maps information; building a dynamic forest stand update model through intelligent sample plot data for plot type unchanged subclasses, and then updating attribute information of forest subclasses; 5, precision test and correction; 6, monitoring output: outputting current period stock monitoring data; 7, determining whether a monitoring period arrives.

Abstract: A fault arc signal detection method using a convolutional neural network, comprising: enabling a sampling signal subjected to analog-digital conversion to respectively pass through three different band-pass filters; respectively extracting a time-domain feature and a frequency-domain feature from a half wave output of each filter; constructing a two-dimensional feature matrix by means of extracted time-frequency feature vectors from the output of each filter, and stacking the feature matrices corresponding the outputs of the three filters to construct a three-dimensional matrix for each half wave; and processing a multi-channel feature matrix by using a multi-channel two-dimensional convolutional neural network, and determining, according to the output result of the neural network, whether the half wave is an arc.

Abstract: A cultivation-target crop selection assisting apparatus 10 includes: an information collection unit 11 configured to collect information regarding a specific cultivated land; a prediction value calculation unit 12 configured to calculate a prediction value of actual performance of cultivation of one or a plurality of varieties of crops in the specific cultivated land by applying the information collected by the information collection unit 11 to a prediction model 14 created by performing machine learning on a relationship between information regarding a sample cultivated land and actual performance information regarding a crop produced in the sample cultivated land; and a crop selection unit 13 configured to select a crop that is suitable for being cultivated in the specific cultivated land based on the prediction value calculated for the one or plurality of varieties of crops.

Abstract: A system and method for classifying conformers of a molecule are provided. The methods for classifying conformers of a molecule include selecting a target molecule, generating a list of conformers of the target molecule, completing a quantum mechanics (QM) simulation for each conformer, extracting an electronic energy for each conformer from the corresponding QM simulation, calculating average electron density (AED) values corresponding to a most electronegative group of the target molecule, generating a plot of the electronic energies vs. the calculated AED values, and classifying conformers based on this plot. Similar methods can also be used to predict shapes of electrostatic potential (ESP) maps for conformers of a molecule. These ESP maps can, in turn, be used to identify conformers of the molecule having desired chemical or pharmaceutical properties.

Abstract: A sensor device is attached to, for example, a mechanical component. The sensor device includes a sensor unit, an output unit, and an energy harvesting unit. The sensor unit measures a condition related to the mechanical component. The output unit outputs information that is based on the measurement result from the sensor unit to the outside. The energy harvesting unit converts energy that exists in an external environment into electric power and supplies an electric power for operating at least one of the sensor unit and the output unit.

Abstract: A method of identifying defects in an electronic assembly, comprising, by a processing unit, obtaining a grid of nodes representative of a location of electronic units of an electronic assembly, wherein each node is neighboured by at most eight other nodes, wherein a first plurality of nodes represents failed electronic units according to at least one test criterion, and a second plurality of nodes represents passing electronic units according to the least one first test criterion, based on the grid, determining at least one first and second straight lines, and attempting to connect the first and second straight lines into a new line, wherein if at least one node from the new line belongs to the second plurality of nodes, concluding that an electronic unit represented by the node on the grid is a failed electronic unit, thereby facilitating identification of a failed electronic unit on the substrate.

Abstract: This disclosure relates to systems and methods for management of information, including environmental information, obtained by a variety of sensors associated with one or more distributed mobile sensor platforms. In certain embodiments, the geographically transitory nature of a mobile sensor platform may be leveraged to facilitate collection of environmental information over a larger geographic area than that of a fixed sensor platform. Embodiments disclosed herein provide for information consistency and/or quality checking of information obtained by mobile sensor platforms. Further embodiments may be used to incentivize the collection and/or acquisition of certain data via point and/or credit-based compensation.

Abstract: In a noise removing apparatus, a data acquisition unit acquires sets of odor data measured using a sensor with respect to a plurality of objects, each set of odor data representing features of an odor of an object by respective rates of a plurality of odor molecules. A noise component extraction unit extract a noise component using a set of odor data. A noise removing unit removes the noise component from each set of odor data to be processed.

Abstract: A system for managing the dosing of inputs to be applied to a surface includes an electronic device housed on board an agricultural machine and a remote management server. The electronic device includes a weather sensor for measuring a weather condition, a central unit for collecting a weather datum containing information relating to the measured weather condition, and first communication means for transmitting the weather datum to the management server. The management server includes a processor for processing the weather datum and usage-specific data so as to generate a dosing recommendation for the inputs on the basis of a predetermined and learning dosing model, and second transmission means for transmitting the dosing recommendation to a communication terminal.

Abstract: A method for estimating the quality of a signal comprising: receiving a periodic signal comprising a first wave and a second wave; estimating similarity between the first wave and the second wave; assigning a weight for the second wave based on the similarity between the first wave and the second wave; classifying the second wave as non-reliable when the weight fails to exceed a predefined threshold.

Abstract: A method and a device for testing an electrode sheet, the method may comprise: acquiring M pieces of test data of a tab, wherein the tab protrudes from the end face of the electrode sheet along the first direction, the M pieces of test data are the test data of the tab at M consecutive positions along the second direction, the M pieces of test data are the test data of the height of the tab in the first direction, the second direction is perpendicular to the first direction, and M is a positive integer greater than 1; and determining whether the shape of the tab is normal based on the M pieces of test data.

Abstract: A system for providing a visual summary of a condition of a patient when traumatic brain injury (TBI) is suspected or diagnosed includes at least one patient condition sensor configured to sense data representative of a patient condition parameter of interest for a TBI patient; at least one airflow sensor configured to sense data representative of ventilations provided to the patient; at least one visual display for providing the visual summary to a user; and at least one controller. The at least one controller is configured to cause the visual display to provide the visual summary. The visual summary can include at least one visual representation of at least one patient condition parameter for each time interval of a plurality of time intervals, at least one visual representation of ventilation information, and a visual indication of when at least one patient condition parameter is outside of a target range.

Abstract: Techniques and apparatus for diagnostic processes for analytical instruments are described. In one embodiment, for example, an apparatus may include at least one memory, and logic coupled to the at least one memory. The logic may be configured to receive diagnostic information associated with at least one analytical instrument, and process the diagnostic information using a computational model to generate at least one diagnostic model for at least one diagnostic. Other embodiments are described.

Abstract: The prevent invention relates a method and apparatus based on neural network for pre-diagnosing defect and fire in battery cell. A method based on neural network for pre-diagnosing defect and fire in battery cell in an apparatus for pre-diagnosing defect and fire in battery cell is proposed, the method including collecting, by the battery cell defect and fire pre-diagnosis apparatus, data including at least one of chemical composition, current, voltage, and temperature data measured for each predetermined time interval within each charge and discharge cycle while charging and discharging a plurality of batteries; training, by the battery to cell defect and fire pre-diagnosis apparatus, the neural network by inputting the collected data to the neural network; and predicting, by the battery cell defect and fire pre-diagnosis apparatus, a battery deviated from a main cluster of the neural network as defective.

Abstract: A memory of an electronic control unit stores a neural network into which travel state quantities of a vehicle are input and from which an internal temperature of a turbocharger is output. An arithmetic processing circuit of the electronic control unit executes an internal temperature estimation process of calculating, as an estimated value of the internal temperature, an output of the neural network using measured values of the travel state quantities as an input, and a deposit amount estimation process of calculating an amount of increase in an amount of oil coke deposits based on the estimated value of the internal temperature and calculating an estimated value of the amount of oil coke deposits as a value integrating the amount of increase.

Abstract: There is disclosed a meteorological observation device for observing weather in an Atmospheric Boundary Layer or a Planetary Boundary Layer, comprising: a basic observation unit and one or more additional observation units which are connected directly or indirectly to the basic observation unit; a storage box whose inner space is compartmentalized to form a plurality of grids, wherein the grids include 1-st type cells, each of which holds the basic observation unit and each of the one or more additional observation units and 2-nd type cells, each of which forms 1-st sub space for holding a basic wire and 2-nd sub space for holding each of additional wires, wherein a size of each of the 2-nd type cells is determined as a size of each of the 1-st type cells.

Abstract: A method is provided for identifying or authenticating an object. The method includes vibrating the object at a plurality of frequencies. The vibrations from the object are sensed at each of the plurality of frequencies using an accelerometer. A vibration profile of the object is generated using the sensed vibrations. The generated vibration profile is then compared to a stored vibration profile. It is determined if the generated vibration profile matches the stored vibration profile. A match indicates that the object has been identified or authenticated. In another embodiment, an object capable of implementing the method is provided. In another embodiment, the object may include a replaceable accessary. In this case, the initial and generated vibration profiles may be created with the replacement accessary attached to the object. A match of the generated and initial vibration profiles indicates that the replaceable accessary is authentic.

Abstract: An information processing device includes processing circuitry configured to classify a plurality of partial waveform patterns that characterize a plurality of time series data into a plurality of classes based on the plurality of time series data classified into the plurality of classes, update shapes of the partial waveform patterns by fitting the partial waveform patterns to the time series data of the corresponding class, and reclassify the plurality of time series data into the plurality of classes based on the updated partial waveform patterns and difficulty levels that represent degrees of difficulty of classification and interpretation of the time series data.

Abstract: System and method for estimating how an atmospheric gas is distributed. A server receives prior data related to historical and/or theoretical global patterns of the gas, as well as measurements of the concentration and/or emission of the gas. The server passes the data and measurements to a database for storage and/or to at least one processor, which applies statistical inference methods to estimate a probability distribution of gas concentration and emission within the region. In one embodiment, the entire atmosphere is divided into numerous regions, and gas distributions are evaluated in each region, to thereby produce an estimated distribution covering the atmosphere. In some embodiments, the regions are divisions of an equirectangular projection of the Earth's surface and have a length and width of 0.025°.

Abstract: A method of polishing a substrate includes polishing a conductive layer on the substrate at a polishing station, monitoring the layer with an in-situ eddy current monitoring system to generate a plurality of measured signals values for a plurality of different locations on the layer, generating thickness measurements the locations, and detecting a polishing endpoint or modifying a polishing parameter based on the thickness measurements. The conductive layer is formed of a first material having a first conductivity. Generating includes calculating initial thickness values based on the plurality of measured signals values and processing the initial thickness values through a neural network that was trained using training data acquired by measuring calibration substrates having a conductive layer formed of a second material having a second conductivity that is lower than the first conductivity to generated adjusted thickness values.