Abstract: One or more processors may detect that an extreme event that occurred in a first region. One or more processors may determine that the extreme event creates a drift in a probability distribution that is an output of a model associated with the first region. One or more processors may retrain the model associated with the first region using data associated with the extreme event. One or more processors may identify a second region similar to the first region according to a defined correlation threshold. One or more processors may generate data representing potential extreme scenarios for the second region based on the detected extreme event in the first region. One or more processors may retrain a model associated with the second region based on the generated data representing potential extreme scenarios.

Abstract: Apparatus and associated methods relate to controlling electrical power of an electrotherapeutic signal that is provided to a biological tissue engaged by an electrosurgical instrument during a medical procedure. Electrical power—a product of a voltage difference across and an electrical current conducted by the engaged biological tissue—is controlled according to a therapeutic schedule. The electrotherapeutic schedule can be reduced or terminated in response to a termination criterion being met. In some examples, the termination criterion is a current characteristic, such as, for example, a decrease in current conducted by the engaged biological tissue. In some examples, the termination criterion is a biological tissue resistance characteristic, such as, for example, an increase in the biological tissue resistance that exceeds a predetermined delta resistance value.

Abstract: A thermal analysis model includes an intermediate node that imitates an intermediate portion and a first thermal resistance connecting to the intermediate node, and imitates the terminal portions on both sides. A terminal portion inside node connected to the first thermal resistance is configured to imitate an inside area adjacent to the intermediate portion and serves as a starting point of a first heat dissipation path to the substrate. A terminal outside node is configured to imitate an outside area separated from the intermediate portion and adjacent to the inside area in the terminal portions and serves as a starting point of a second heat dissipation path to the substrate. A second thermal resistance connects the terminal portion inside node and the terminal portion outside node and is arranged parallel to a different element imitating a thermal resistance of an electrode layer in a surface of the substrate.

Abstract: A method for rapid region wide production forecasting includes identifying base data of a well in a plurality of wells of a region; selecting, using the base data and from a set of a models comprising a rich machine learning model, a location based machine learning model, and a decline curve model, a well model; and generating, based on the selecting, a forecasted production of the well using the base data and the well model. The method further includes aggregating a plurality of forecasted productions of the plurality of wells, the plurality of forecasted productions including the forecasted production, to generate a region forecast using the rich machine learning model, the location based machine learning model, and the decline curve model; and presenting the region forecast.

Abstract: Provided a method comprising: obtaining waveform data sets of a periodic electric waveform signal, with a length set to one cycle time; calculating a frequency spectrum for each waveform data set; extracting and separating odd and even frequency harmonics to create odd and even frequency harmonic matrices on which a canonical correlation analysis (CCA) being applied to obtain CCA features; performing linear transformation on the CCA features to obtain linear transformed features; generating a model based on the linear transformed features; performing magnitude quantization of frequency spectrums of waveform data sets to identify normal and anomalous waveform signals.

Abstract: There is provided a method of assessing a characteristic of a plant (2), comprising: obtaining a training dataset, wherein the training dataset comprises first data characterising a first electrical signal obtained from a first plant during a first time period when a stressor is present in the first plant or a growth environment of the first plant, second data characterising a second electrical signal obtained from the first plant during a second time period when a stressor is not present in the first plant or the growth environment of the first plant, and third data indicative of a characteristic of the first plant during the first time period and a characteristic of the first plant during the second time period; training a machine learning model based upon the training dataset; obtaining a third electrical signal from a second plant; and assessing, using the trained machine learning model, a characteristic of the second plant based upon the third electrical signal.

Abstract: Health of perishable commodities such as eatables deteriorate over time. State of art systems for health monitoring of perishable commodities rely on measurement of limited parameters and also fail to consider effect of environment on the health of the perishable commodities. Disclosed herein is an apparatus and method for multimodal sensing and monitoring of perishable commodities. The apparatus allows to change environment within a closed chamber in which the perishable commodity being monitored is kept, and in turn allows to generate health data in different environment settings. This data is used to generate a health model. Data collected in real-time are processed with the health model to establish a correlation with at least one image, wherein each of such images in the health model represents certain health state. Based on the established correlation, health of the perishable commodity is determined.

Abstract: The present disclosure relates to a fracturing system comprising a functional unit, an electricity supply unit and an energy storage unit. The functional unit is configured to perform procedures of fracturing operations. The electricity supply unit is electrically connected with the functional unit and is configured to supply electrical energy to the functional unit. The energy storage unit is respectively electrically connected with the electricity supply unit and the functional unit, and is configured to store electrical energy from the electricity supply unit and supply electrical energy to the functional unit.

Abstract: This is an early identification method for a shallow soil landslide, belonging to the technical field of landslide prevention and control engineering. The present invention accurately determines and identifies a shallow soil landslide in a quantitative manner, improving the early identification efficiency of a landslide and helping to improve the disaster prevention effect.

Abstract: Estimating a difference in height between floors in a building for use in estimating a height or an altitude of one of the floors. A height difference is estimated between a first floor and a second floor based on outdoor temperatures of first and second time periods, an indoor temperature of the first or second time period, and first and second estimated differences in height between the first and second floors that is based on measurements of pressure from mobile devices when the mobile devices were on the first and second floors during the first and second time periods.

Abstract: Wind turbine farms are presented including: a number of steerable wind turbines, where each of the number of steerable wind turbines includes a turbine diameter, where each of the number of steerable wind turbines are steerable about a vertical axis, where each of the number of steerable wind turbines includes a wake centerline, where the number of steerable wind turbines is grouped, where each group is defined by at least two steerable wind turbines, where each of the number of steerable wind turbines is positioned in a fixed position such that wake centerlines are separated by approximately 0.5 and 6.0 turbine diameters.

Abstract: Various implementations directed to a system and method for using a magnetometer in a gyro-while-drilling (GWD) survey tool are provided. In one implementation, a method may include acquiring gyroscopic data using gyroscopic sensors of a GWD survey tool while the tool is disposed at a first position within a wellbore. The method may also include acquiring first magnetic data using a magnetometer of the GWD survey tool while the tool is disposed at the first position. The method may further include determining an offset value for the magnetometer based on the gyroscopic data and the first magnetic data. The method may additionally include acquiring second magnetic data using the magnetometer while the tool is disposed at second positions within the wellbore. The method may also include determining magnetic azimuth values for the tool disposed at the second positions based on the second magnetic data and the offset value.

Abstract: Systems and methods include a computer-implemented method for displaying well information. Geological boundaries are identified for a group of multiple wells in a region including a reference well. Each well has geological boundaries at depths different from boundaries in the reference well. A framework of the geological boundaries of the reference well multiple wells is treated as a set of datums for shifting pressures relative to the reference well. Geological boundaries of the group of multiple wells are matched, including identifying tops and bases of geological layers for each well. Depth shifts for depths having corresponding pressure data are determined. The depth shifts are redatumed based on differences in depth of the geological layers of each well. A display of a graph is presented in a graphical user interface (GUI). The graph maps pressures of the group of multiple wells at different depths and based on redatuming of each well.

Abstract: A method for automatically creating installation-specific measuring profiles for an insulation monitoring system, includes: assisting in a computer-controlled manner by means of an assist system via guided instructions for acquiring installation data; and executing the instructions by means of one more sensor devices. The method further includes pre-selecting, assisting, recording, evaluating, detecting, and optimizing steps.

Abstract: A method and system for time series forecasting are described. Forecasting a time series, though uncertain, has a potential to improve decision-making. It gives a picture of what can probably be expected. A live time series typically has trend and seasonality as its innate characteristic features, randomness being obvious in real-time. Described embodiments address complexity in configuring zero-configuration workflow forecasting methods at production scale. Described embodiments address complexity in configurating domain independent forecasting methods at production scale.

Abstract: The present invention is directed to a method for the preparation of a non-living micro/nanoscale biosynthetic device capable of giving an information of a state of a system to analyse. Preferably, said device is used as an assay diagnostic, or to predict the risk, of a disease, or for the classification of mammal, preferably human pathologies. The invention also relates to a method for the identification and/or the quantification of a compound in a sample. Finally the present invention includes a kit comprising the biosynthetic device obtained by the method of the present invention.

Abstract: An actuator control device configured to control an operation of an actuator includes: a detection unit and a restriction unit. The detection unit is configured to monitor a battery voltage and to detect a descent time which is a drop time of the battery voltage from a preset first voltage to a second voltage lower than the first voltage. The restriction unit imposes, when the descent time is equal to or longer than a time threshold, a stronger restriction on an operation of the actuator than an occasion of when the descent time is less than the time threshold.

Abstract: An abnormal-sound detection device has an imaging unit, an operation range identification unit, a sound collection unit, an abnormal-sound detection unit, an abnormal-sound generation position identification unit, and an abnormal-sound source determination unit. The operation range identification unit identifies and stores the operation range of a diagnosis object on the basis of the image captured by an imaging unit. The abnormal-sound detection unit detects abnormalities in sounds included in the sounds collected by the sound collection unit, the sounds arriving from the diagnosis object. When an abnormality in a sound is detected by the abnormal-sound detection unit, the abnormal-sound generation position identification unit identifies the position at which the abnormality of the sound was generated.

Abstract: The embodiment of the present disclosure provides a method and an Internet of Things (IoT) system for safety management of a smart gas underground gas pipeline network. The method is implemented by a smart gas safety management platform and includes: obtaining basic monitoring information of at least one pipeline network partition collected by distributed monitoring components arranged at a plurality of monitoring points; determining at least one key monitoring point and monitoring content of the at least one key monitoring point; determining an inspection plan and a performance allocation plan for the smart gas safety management platform; adjusting the preset monitoring frequency of the distributed monitoring components located at different key monitoring points and at areas surrounding the different key monitoring points; and generating an alarm message to be sent to a user terminal based on an inspection result of the inspection robot.

Abstract: The present disclosure discloses a method for automatically identifying south troughs by improved Laplace and relates to the technical field of meteorology. The method includes the following steps: acquiring grid data of a geopotential height field; calculating a gradient field of the geopotential height field in an x direction; searching for a turning point where a gradient value turned from being negative to being positive, and cleaning the gradient field; calculating a divergence of the x direction to obtain an improved Laplacian numerical value L?; performing 0,1 binarization processing on the L? to obtain a black-and-white image and a plurality of targets of potential troughs, merging the black-and-white image and the plurality of targets of the potential troughs by expansion, recovering original scale through erosion, and selecting an effective target through an angle of direction of a contour and an axial ratio.