Abstract: In one aspect, a computer-implemented method may include receiving charge cycle data pertaining to a battery pack. The method may include determining, based on the charge cycle data, whether a noise level of a battery management system exceeds a first threshold. In response to determining the noise level exceeds the first threshold, the method may include determining an initial state of charge of the battery pack using coulomb counting by reversing the charge cycle data. In response to determining the noise level does not exceed the first threshold, the method may include determining whether a rest time before charge cycle exceeds a second threshold. In response to determining the rest time before charge cycle does not exceed the second threshold, the method may include determining the initial state of charge of the battery pack using coulomb counting by reversing the charge cycle data.

Abstract: A damage estimation device includes an acquisition unit that acquires a temperature change amount in a period during which an inflow air temperature rises and a period length, a distortion amount derivation unit that derives a distortion amount of a cooling device in the above period, based on the temperature change amount, and a damage value derivation unit that derives an accumulated damage value by integrating a value depending on the distortion amount. When the period length is shorter than a period length determination value, the distortion amount derivation unit derives a larger value as the distortion amount than when the period length is equal to or longer than the period length determination value.

Abstract: Disclosed are a method and system for intelligent source tracing of organic pollution of a water body, which belongs to the technical field of environmental analytical chemistry. The method comprises: acquiring organic matter analysis and detection data from water samples of a polluted water body through high performance liquid chromatography-tandem mass spectrometry; performing high-throughput screening on the organic matter in the water samples according to said data to determine pollutants; identifying pollution sources by means of network analysis according to the determined pollutants; and according to the identified pollution sources and the organic pollutants, determining key pollutants and quantifying the pollution contributions thereof by using a machine learning classification model.

Abstract: The embodiments of the present disclosure provide method and Internet of Things (IoT) systems for predicting maintenance materials of a smart gas pipeline network. The method may be implemented based on a smart gas safety management platform of an Internet of Things (IoT) system for predicting maintenance materials of a smart gas pipeline network. The method may comprise: obtaining a pipeline network feature of a gas pipeline network; predicting fault probabilities of one or more point positions of the gas pipeline network based on the pipeline network feature, the fault probabilities including probabilities of one or more preset fault types of faults occurring at the point positions; and determining demand for the maintenance materials based on the fault probabilities of the one or more point positions.

Abstract: A method measures a given object using a coordinate measuring machine (CMM) having a measurement space. As such, the method determines one or more portions of the given object to be measured and then forms a virtual 3D movement model representing CMM movement required to measure the one or more portions. The method then uses the 3D movement model to virtually position and orient the given object within the CMM measurement space.

Abstract: A system and method for measuring the greenhouse gas emitting activities of a user is described. Data for different sources of greenhouse gas emitting user activities, including electricity usage, motor vehicle usage, food consumption, and flight usage, are gathered, normalized, weighted, and presented. The system and method include providing the user with feedback regarding these activities and rewarding the user for changing these activities to thereby reduce their greenhouse gas emissions.

Abstract: There is provided an apparatus for diagnosing whether or not an error has occurred in battery cells, the apparatus including a voltage measurement circuit for measuring a voltage of a battery cell, a data processing circuit for calculating a target statistical value indicating a state of the battery cell based on a voltage measured by the voltage measurement circuit, and calculates a cumulative statistical value, and a diagnosis circuit that determines whether or not an error has occurred in the battery cell through a cumulative determination operation of comparing the cumulative statistical value with a cumulative reference value, and counts a number of times of cumulative error when it is determined that the error has occurred in the battery cell in the cumulative determination operation.

Abstract: A railroad car condition monitoring/analyzing includes: a car factor estimation unit configured to estimate car factor evaluation data from car data and evaluation data; an infrastructure factor extraction unit configured to extract infrastructure factor evaluation data from the car data, the evaluation data, and the car factor evaluation data; an infrastructure factor estimation unit configured to estimate individual infrastructure factor evaluation data from the infrastructure factor evaluation data; an infrastructure factor DB construction unit configured to store the individual infrastructure factor evaluation data in an infrastructure factor database; an infrastructure factor analysis unit configured to monitor the individual infrastructure factor evaluation data stored in the infrastructure factor database so as to analyze infrastructure factors; and a car analysis unit configured to analyze a car condition in consideration of analysis information on the infrastructure factor.

Abstract: Apparatus and methods for measuring backlash of a drive train of an equipment unit. The drive train may comprise an input member operatively connected with an actuator and an output member operatively connected with a work portion of the equipment unit. An example apparatus may include a sensor operable to facilitate operational measurements indicative of an operational parameter associated with the drive train, and a processing device operable to cause the actuator to move the input member until the output member moves, record the operational measurements while the actuator moves the input member, and determine a backlash of the drive train by determining a difference between the operational measurements when the input member starts to move and the operational measurements when the output member starts to move.

Abstract: A known compound and at least one adduct, modified form, or peptide of the known compound are separated from a sample mixture and analyzed. An XIC is calculated for each of M product ions of the known compound and L product ions of the at least one adduct, modified form, or peptide. A first XIC peak group is calculated from the M XICs and a second XIC peak group is calculated from the L XICs using curve subtraction. Representative first and second XIC peaks are selected for the two XIC peak groups. The retention time of the second XIC peak is shifted by an expected retention time difference found from a database. The retention time of the first XIC peak is verified as the retention time of the known compound if the difference of the retention times of the first and second XIC peaks is within a threshold.

Abstract: According to various embodiments of the present invention, an electronic device may comprise a battery, a power management module, and a processor. The processor may be configured to: acquire power for battery charging from a source outside the electronic device through the power management module, charge the battery at a designated current value by using the power, check charging state information based on charging time and battery capacity according to charging in a designated charging state measurement interval after the charging is started, and when the charging state information satisfies a given condition, perform a designated operation associated with the battery. Various other embodiments are also possible.

Abstract: A method of smoothing spectral data recorded by a spectrometer including successively fitting a plurality of spline curves to the spectral data, each spline curve having a different number of knots. A knot position of each knot, other than end point knots, in each spline curve is determined based upon a measure of fit of points of a previously fitted one of the spline curves having fewer knots to the spectral data. The method further includes selecting one of the spline curves as a smoothed data curve of the spectral data based upon a model selection criterion.

Abstract: A method includes receiving raw data and generating a manufacturing data packet (MDP) that includes at least a portion of the raw data. Generating the MDP includes associating metadata with the raw data and associating a timestamp with the raw data. The timestamp is synchronized to a common reference time. A data model associated with the MDP is obtained. The data model includes one or more predefined data types and one or more predefined data fields. A first data type from the one or more predefined data types is determined based at least in part on characteristics of the raw data. An algorithm is determined based at least in part on the first data type. The MDP is processed according to the algorithm to produce an output. The first data type is associated with the raw data. The output is associated with a data field of the first data type.

Abstract: According to one embodiment, the information processing device includes: a first state estimator configured to estimate a state of a target rechargeable battery based on: first data including a charge amount and voltage value of a rechargeable battery; information including a state of the rechargeable battery; and second data including a charge amount and voltage value of the rechargeable battery.

Abstract: There is provided a method and apparatus for accelerated in-situ prediction and dynamic visualization of characteristics of a porous medium, including an input source for inputting data from computer-aided simulations and real-time core flooding experiments, an embedded hardware unit comprising of a processor running a prediction model with inferences of porous medium samples, and a human-machine interface comprising a display unit for displaying the estimated plurality of characteristics of the porous medium and an input unit for accepting commands from a user. The input source is in real-time communication with the embedded hardware unit and the display unit and the apparatus reduces a total analysis time taken for characterizing the porous medium. Further, the porous medium is a rock sample and the plurality of properties of the porous medium comprises the relative permeability (Kr) and capillary pressure (Pc) characteristics of the porous medium.

Abstract: The invention relates to a method for storing real data of a real body contour (11) of a body (8). The method comprises the method steps: creating a model surface grid (6) with multiple grid points (7), said model surface grid (6) representing a model body contour (5); manufacturing the body (8) based on the model body contour (5) of the CAD data; determining real data of the manufactured body (8); creating a memory surface grid (15) of the real body contour (11) by means of the computer (3); storing the memory surface grid (15) on a data carrier (19) for further processing of the data.

Abstract: An appropriate upper limit current value is set in consideration of steep change in battery voltage in a high-current region caused by the ion concentration gradient in a diffusion layer formed around an interface between an electrode and an electrolyte. An upper limit current calculator 152 includes: a concentration gradient estimator 1523 that estimates a lithium ion concentration gradient in a diffusion layer formed around an interface between an electrode and an electrolyte of a battery, based on a current flowing in the battery, or on the current and a temperature; and an upper limit current determiner 1524 that determines an upper limit current value of the battery, based on the lithium ion concentration gradient. The upper limit current determiner 1524 determines the upper limit current value such that an overvoltage of the battery according to the lithium ion concentration gradient falls within a predetermined range.

Abstract: The present solution provides calibration for a battery model of an electric vehicle battery. One or more processors of an electric vehicle coupled with memory can identify, for the electric vehicle, a model configured to determine performance of a battery of the electric vehicle based on a function. The function can generate values for a parameter of the model across a range of states of charges and a range of temperatures. The one or more processors can generate, based on input from a sensor of the electric vehicle, a value of performance of the electric vehicle via the model. The one or more processors can provide an action for the electric vehicle based on the value of the performance.

Abstract: The present disclosure relates to a narrow slit channel visualization experimental device and method under a six-degree-of-freedom motion condition. The system comprises a six-degree-of-freedom motion simulation platform, a main circulation loop, a cooling water system, an electric heating system and a bubble monitoring system, wherein the main circulation loop is composed of an S-shaped preheater, a three-surface visualization experimental section, a double-pipe condenser, a pressurizing circulating pump, a voltage stabilizer and related equipment, wherein the cooling water system is composed of the double-pipe condenser, a plate heat exchanger, a cooling tower, a cooling fan, a cooling water tank and related equipment, wherein the electric heating system is composed of a direct-current power supply, a low-voltage power controller and a transformer, and wherein the bubble monitoring system is composed of two high-speed cameras, a PIV measuring system and an electric servo module.

Abstract: A method for monitoring power consumption of an appliance within a space is provided. The method includes obtaining a first set of data indicative of power consumption of the appliance during an interval of time and determining a profile indicative of power consumption of the appliance based, at least in part, on the first set of data. The method includes obtaining a second set of data indicative of power consumption of the appliance subsequent to obtaining the first set of data. The method includes determining whether power consumption of the appliance deviates from the profile based, at least in part, on the second set of data. Furthermore, in response to determining power consumption of the appliance deviates from the profile, the method includes providing a notification indicative of power consumption of the appliance deviating from the profile.