Abstract: Embodiments of this disclosure provide an object recognition method and apparatus and a single step object recognition neural network, in which by replacing a part of convolutional layers in a conventional single shot multibox detector (SSD) network with dilate convolution, limitation on a size of an input image may be reduced; by increasing connection paths, accuracy of object recognition may be improved; and by connecting the convolutional layers by using residual structures, a convergence effect may be ensured, and accuracy of object recognition may be improved.

Abstract: A method and system to interpret sensor transmission patterns to analyze anomalies in a smart environment include obtaining a map of the smart environment, the map including an indication of obstructions and openings. The method includes determining an initial location of each sensor of a plurality of sensors in the smart environment. Each sensor emits a transmission after each detection. The method also includes identifying an initial transmission pattern associated with each sensor, and identifying a change in the initial transmission pattern of a sensor among the plurality of sensors. The change is interpreted to determine whether the change in the initial transmission pattern of the sensor among the plurality of sensors is due to movement or obstruction of the sensor. Action is taken based on a determination that the sensor among the plurality of sensors is obstructed or removed.

Abstract: Disclosed are a parameter estimating method based on correction of independence of an error term, a computer program implementing the method, and a system configured to perform the method. The method includes: acquiring a measured velocity, which is a velocity of a moving object measured with a speedometer being operated by an observer and having a specific measurement unit, and an actual velocity of the moving object with respect to the observer; performing modeling of a linear regression model with the measured velocity as a dependent variable and the actual velocity of the moving object with respect to the observer as an independent variable; and estimating parameters of a linear regression equation after correcting the independence of the error term based on Lorentz velocity transformation.

Abstract: An unsteadiness detection device (30) is provided which is capable of detecting the operation state of facilities using binary digital signals, the unsteadiness detection device including: a model generation unit (313) to generate a normal model for determining operation states of a plurality of facilities (11) on the basis of operation data which are binary digital signals obtained from the facilities (11) in their steady operation states; an expectation value calculation unit (315) to calculate an expectation value of operation data by applying the normal model to past operation data of the facilities (11); and an unsteadiness detection unit (316) to detect whether or not an operation state of one of the facilities (11) is unsteady by comparing the expectation value of the operation data and a measured value of the operation data.

Abstract: Systems, apparatuses and methods may provide for technology that obtains categorization information and corresponding uncertainty information from a perception subsystem, wherein the categorization information and the corresponding uncertainty information are to be associated with an object in an environment. The technology may also determine whether the corresponding uncertainty information satisfies one or more relevance criteria, and automatically control the perception subsystem to increase an accuracy in one or more subsequent categorizations of the object if the corresponding uncertainty information satisfies the one or more relevance criteria.

Abstract: The present invention relates to a method for acquiring the water leakage amount of a leakage area in a water distribution system. In the method, a hydraulic model is coupled with monitored data, and the water leakage amounts of different areas in the water distribution system are obtained through inversion by optimizing the spatial distribution of water leakage amounts. In addition to the coupling of the hydraulic model with the monitored data, virtual sectorization and pipe leakage risk assessment are used. By using a minimum difference between a simulated value and a monitored value at a pressure measurement point as a target, the water leakage amounts of different areas in the water distribution system are calculated by an optimization algorithm. Compared with the prior art, the present invention actualizes the effective identification of leakage areas in a water distribution system with a high leakage rate (i.e., with many leakage points).

Abstract: The subject matter of this specification can be implemented in, among other things, a method, system, and/or device to receive current metrology data for an operation on a current sample in a fabrication process. The metrology data includes a current value for a parameter at each of one or more locations on the current sample. The method includes obtaining a reference rate of change of the parameter value of the parameter for each of the one or more locations. The method further includes determining a current rate of change of the parameter value for each of the one or more locations. The current rate of change is associated with the current sample. The method further includes comparing the current rate of change of the parameter value to the reference rate of change of the parameter value and identifying an instance of abnormality of the fabrication process based on the comparison.

Abstract: A method includes: collecting an original signal in a specified time interval, and performing combined acceleration processing on the original signal to obtain a combined acceleration signal; performing state processing on the combined acceleration signal to obtain a motion time interval, and extracting a plurality of feature groups from the combined acceleration signal according to a preset motion rule; and performing screening on the plurality of feature groups to obtain a first feature group, extracting a median value from the first feature group, and obtaining a stride frequency in the specified time interval based on the median value and a collection frequency, and obtaining a quantity of steps through calculation based on the motion time interval and the stride frequency.

Abstract: Provided is a method of calculating a resistance and a capacitance of an energy storage system, including a current application step of applying a predetermined current having a constant value to the energy storage system; a first voltage measurement step of measuring a voltage of the energy storage system while the predetermined current is applied to the energy storage system; a second voltage measurement step of measuring a voltage of the energy storage system after breaking the predetermined current applied to the energy storage system; and a step of calculating a resistance (R) and a capacitance (C) of the energy storage system based on the voltage of the energy storage system measured in the first voltage measurement step, the voltage of the energy storage system measured in the second voltage measurement step, and the predetermined current having the constant value.

Abstract: The present disclosure provides methods and systems for the characterization of a potential microtexture region (MTR) of a sample, component, or the like. The methods may include determining a threshold width of spatial correlation coefficient and/or a threshold spatial correlation coefficient slope for an actual MTR, characterizing a potential MTR as an actual MTR or a defect, characterizing an actual MTR as an acceptable MTR or not, and/or characterizing various components with potential MTRs as defective or not. The characterization may include calculating a width of spatial correlation coefficient and/or a spatial correlation coefficient slope of the potential MTR and comparing the width of spatial correlation coefficient to a threshold width of spatial correlation coefficient and/or comparing the spatial correlation coefficient slope to a threshold spatial correlation coefficient slope for the potential MTR to be characterized as an actual MTR or a defect (crack).

Abstract: A method includes obtaining a first waveform representing an output characteristic with respect to time of a switched-mode power supply. The method further includes removing a high frequency component from the first waveform to generate a modified waveform and determining a stable value of the modified waveform. The method further includes determining an operating parameter of the switched-mode power supply based on the modified waveform, the stable value, or a combination thereof. The one or parameter includes an overshoot value associated with the switched-mode power supply, an undershoot value associated with the switched-mode power supply, or a settling time associated with the switched-mode power supply. The method further includes outputting an indication of the parameter.

Abstract: There may be provided a method for validating a monitoring system, the method may include sensing, by at least one sensing element of the monitoring system, a physical parameter; sending sensed information that is related to the physical parameter to a remote computerized system of the monitoring system; applying, by the remote computerized system, a process on the sensed information to provide a response to the sensed information; generating validation information by a generator of the monitoring system; sending the validation information to the remote computerized system; applying, by the remote computerized system, the process on the validation information to provide a response to the validation information; and determining, by a validator of the monitoring system, a validity of the monitoring system based on the response to the validation result.

Abstract: A method and device for estimating an open circuit voltage of a battery based on a gas-liquid dynamic model, includes the following steps: deriving an undetermined equation for estimating the open circuit voltage according to a gas-liquid dynamic model; identifying the estimation equation parameters according to experimental data; designing a method for estimating the open circuit voltage according to the complete equation for estimating open circuit voltage and calculating to obtain an estimated value of the open circuit voltage. The estimation equation of open circuit voltage includes the battery temperature.

Abstract: The invention relates to a method for detecting an object in a spatial region. The method comprises the following steps for each cell of a plurality of cells of the spatial region: determining evidence masses for the hypotheses that a cell is occupied, is not occupied, or may not be occupied at a current point in time on the basis of sensor data relating to the spatial region; determining predicted evidence masses for the hypotheses at the current point in time on the basis of actual evidence masses for a hypothesis at a previous point in time and on the basis of a plurality of particles for a corresponding plurality of movement hypotheses for the cell; and determining the actual evidence masses at the actual point in time by combining the measured evidence masses with the predicted evidence masses at the current point in time.

Abstract: A system for changing a sensed parameter group for a motor includes a data collector communicatively coupled to a plurality of input sensors, each of the plurality of input sensors operatively coupled to a motor, wherein the motor comprises a component of an industrial environment; a controller, comprising: a data acquisition circuit structured to interpret a plurality of detection values corresponding to a sensed parameter group, wherein the sensed parameter group comprises at least a portion of the plurality of input sensors; a pattern recognition circuit structured to determine a recognized pattern value in response to the plurality of detection values; and a sensor learning circuit structured to update the sensed parameter group in response to the recognized pattern value.

Abstract: Provided are a method and system for determining State of Health (SOH) of a battery. The method includes: detecting a charging state of the battery that is being charged by a Constant Current (CC) or a Constant Voltage (CV); adding a low frequency current signal to the CC that is charging the battery to obtain a low frequency charging current, or adding a low frequency voltage signal to the CV, that is charging the battery to obtain a low frequency charging voltage; determining one or more parameters relating to the battery during the charging state of the battery; calculating an internal impedance and Open Circuit Voltage (OCV) values based on the one or more parameters; and determining SOH of the battery based on the calculated internal impedance and the OCV values.

Abstract: Systems and methods for changing a sensed parameter group include a data collector communicatively coupled to a plurality of input sensors, each of the plurality of input sensors operatively coupled to a one of a mixer or an agitator, wherein the one of the mixer or the agitator comprises a component of an industrial environment; a controller, comprising: a data acquisition circuit structured to interpret a plurality of detection values corresponding to a sensed parameter group, wherein the sensed parameter group comprises at least a portion of the plurality of input sensors; a pattern recognition circuit structured to determine a recognized pattern value in response to the plurality of detection values; and a sensor learning circuit structured to update the sensed parameter group in response to the recognized pattern value.

Abstract: A helmet for tracking impact including at least one sensor, a processor in communication with the sensor and a storage file in communication with the processor, the at least one sensor measures a force applied to the helmet and sends a signal to the processor indicative of the measured force. The processor receives the signal indicative of the measured force and compares the measured force to a predetermined value, wherein if the measured force exceeds the predetermined value data is sent to the storage file to record the measured force. The helmet can include an alarm system and/or an injury tracking system.

Abstract: A system for changing a sensed parameter group for a pump or fan includes a data collector communicatively coupled to a plurality of input sensors, each of the plurality of input sensors operatively coupled to a one of a pump or a fan, wherein the one of the pump or the fan comprises a component of an industrial environment; a controller, comprising: a data acquisition circuit structured to interpret a plurality of detection values corresponding to a sensed parameter group, wherein the sensed parameter group comprises at least a portion of the plurality of input sensors; a pattern recognition circuit structured to determine a recognized pattern value in response to the plurality of detection values; and a sensor learning circuit structured to update the sensed parameter group in response to the recognized pattern value.

Abstract: Provided is an apparatus and method for estimating a state of charge of a secondary battery. The apparatus includes a sensor unit configured to measure a voltage and a current of the secondary battery in a predetermined cycle, and a control unit operably coupled to the sensor unit. The control unit is configured to estimate the state of charge of the secondary battery in the predetermined cycle based on the voltage and the current measured by the sensor unit. The control unit is further configured to determine an operating state of the secondary battery as any one of a linear operating state and a non-linear operating state based on a threshold voltage and the measured voltage, and then determine first process noise indicating inaccuracy of a current integration model and second process noise indicating inaccuracy of an equivalent circuit model according to the determined operating state.