Abstract: A system for communicating with a drill rig includes a data acquisition board and a plurality of sensors. Each sensor transmits operational data associated with the drill rig to the data acquisition board, and the operational data includes an operating parameter of equipment or environmental information associated with the drill rig. A camera generates image data associated with the operational data and transmits the image data to the data acquisition board. A processor on the data acquisition board is configured to synchronize the operational data with the image data. A mobile communications device receives the operational data synchronized with the image data from the processor. A database server is remote from the above ground drill rig and in communication with the mobile communications device, and the database server is configured to receive the operational data synchronized with the image data from the mobile communications device.

Abstract: Scheme for detection and classification of semiconductor equipment faults. Sensor traces are monitored and processed to separate known abnormal operating conditions from unknown abnormal operating conditions. Feature engineering permits focus on relevant traces for a targeted feature. A machine learning model is built to detect and classify based on an initial classification set of anomalies. The machine learning model is continuously updated as more traces are processed and learned.

Abstract: As described herein, a system, method, and computer program are provided for evaluating third party AI models. A request is received from an interested party to evaluate an AI model created by a third party, where the request includes a portion of private data of the interested party, and an expected output of the AI model when applied to the portion of private data of the interested party. The AI model created by the third party is received. The AI model is evaluated by: causing the AI model to process the portion of private data of the interested party, accessing an actual output of the AI model resulting from the processing, and comparing the actual output with the expected output to generate an evaluation of the AI model. The evaluation of the AI model is then reported to the interested party.

Abstract: A battery management system comprises a first and second battery cell controllers and a transmission line providing a point-to-point signal transmission path between the first and second battery cell controllers. At least one of the first and second battery cell controllers includes a logic circuit constructed and arranged for encoding data for transmission as a serial data stream along the signal transmission path in compliance with a multi-level encoding technique. The logic circuit comprises an encoding/decoding circuit that generates a modulated signal of the serial data stream over at least three discrete signal levels at a predetermined and fixed data pulse frequency for transmission through the transmission line and encodes a plurality of data units of the serial data stream into a data packet. The data packet includes at least three symbols constructed and arranged with at least four consecutive transmissions per symbol. Each transmission of each symbol assumes one of the three discrete signal levels.

Abstract: A battery management apparatus according to the present disclosure includes a voltage measuring unit for measuring a battery voltage of a battery, a degree of bending measuring unit provided on at least one side of the battery for measuring a degree of battery bending of the battery, and a processor for receiving the battery voltage from the voltage measuring unit, receiving the degree of battery bending from the degree of bending measuring unit, setting a base degree of bending according to a voltage range to which the battery voltage belongs among an overdischarge voltage range, an allowable voltage range and an overcharge voltage range, comparing the degree of battery bending with the base degree of bending to determine which is greater, and performing a protection operation for the battery based on a degree of bending comparison result.

Abstract: A system, method, and computer-readable medium are disclosed for configuring and offering upgrade capability to information handling systems. A deep learning or machine learning model (DL/ML) model is trained to optimize a particular configuration and use cases for an information handling system and provides various levels of upgrades for the use cases. Levels are identified as base or upgrade and mapped to a licensing layer that enables or disables use of performance levels based on weights that enable base output level classes and disable upgrade output level classes. An offer to upgrade is made as to upgrade levels upon a determination of probabilities of performance output level classes.

Abstract: Methods and electronic devices for estimating state of charge (SOC) of a battery pack. Various embodiments provide a model comprising an (electrical) equivalent circuit model, an electrochemical (thermal) model, and a (convective) thermal model. The model estimates parameters pertaining to each cell of the battery pack individually, and determines the variations in the values of the parameters among each of the cells of the battery pack. The parameters include capacity, temperature current, voltage, and SOC. The parameters are computed based on at current drawn by the battery pack, electrochemical parameters, thermal parameters, and cell internal and connection resistances of the individual cells. Various embodiments compute battery pack uptime, chargeable capacity of the battery pack and SOC of the battery pack, based on the values of the parameters.

Abstract: A system includes a processor and a memory. The memory includes instructions that are executable by the processor to cause the processor to receive basin data of a target basin including an area of the target basin, a number of exploration wells in the target basin, and a number of discovery wells in the target basin. Additionally, the instructions are executable to cause the processor to provide the basin data as input to a trained machine-learning model to determine a predicted trajectory of exploration efficiency of the target basin. Further, the instructions are executable to cause the processor to, in response to providing the basin data as input to the trained machine-learning model, receive an output from the trained machine-learning model indicating the predicted trajectory of exploration efficiency in the target basin.

Abstract: A sensor may be automatically calibrated during manufacture by providing a sensor processing unit having an integrated sensor, performing a check to determine if the integrated sensor has been previously calibrated upon a reset. When it has been determined the integrated sensor has not been previously calibrated, an automated calibration pattern may be imparted to the sensor so that a calibration parameter is determined.

Abstract: An angle sensor generates an angle detection value based on a first and a second detection signal. A correction apparatus performs correction processing for generating a first corrected detection signal by adding a first correction value to the first detection signal and generating a second corrected detection signal by adding a second correction value to the second detection signal. When an angle to be detected varies with a period T and if no correction processing is performed, the angle detection value contains an Nth-order angle error component varying with a period of T/N. Each of the first and second detection signals contains an (N+1)th-order signal error component. The order of the first and second correction values is N?1.

Abstract: The invention relates to a method and a device for recording digital data representative of an operating variable of an observed system, the digital data representative of said variable being obtained in the form of samples, the method comprising a data recording over time. The method receiving successive samples representative of said observed variable, and for a current sample, for at least two observation windows of different sizes, each observation window including a number, equal to the size of said window, of successive samples received before the moment in time corresponding to the current sample, calculating an average value per observation window, calculating a difference between the current sample and each of said average values, comparing each difference, in absolute value, to a predetermined threshold value associated with said observation window, and in case of excess, triggering a recording of the current sample in a non-volatile memory.

Abstract: A developing cartridge includes a casing, a developer-carrying member, a supply member, a developing electrode, a supply electrode, and an insulating member. The casing is configured to accommodate therein developer. The developer-carrying member is configured to rotate about a rotational axis and carry the developer thereon. The supply member is configured to supply the developer to the developer-carrying member. The developing electrode is configured to be electrically connected to the developer-carrying member. The supply electrode is configured to be electrically connected to the supply member. The insulating member insulates the developing electrode and the supply electrode with each other. The developing electrode, the insulating member, and the supply electrode are overlapped in this order in an axial direction of the rotational axis.

Abstract: A system can include one or more sensors at a wellsite. The system can detect first emission data about emissions with respect to a wellbore over a first period of time. The system can detect second emission data about emissions with respect to the wellbore over a second period of time. The system can determine an adjustment to a plug and abandonment operation with respect to the wellbore based on the first emission data. The system can determine an amount of reduction in emissions from the wellbore using the first emission data and the second emission data. The system can output the amount of reduction in the emissions.

Abstract: The present disclosure relates to methods for estimating an accuracy and robustness of a model and devices thereof. According to an embodiment of the present disclosure, the method comprises calculating a parameter representing a possibility that a sample in the first dataset appears in the second dataset; calculating an accuracy score of the model with respect to the sample in the first dataset; calculating a weighted accuracy score of the model with respect to the sample in the first dataset, based on the accuracy score, by taking the parameter as a weight; and calculating, as the estimation accuracy of the model with respect to the second dataset, an adjusted accuracy of the model with respect to the first dataset according to the weighted accuracy score.

Abstract: An information processor includes a memory; and a processor coupled to the memory and the processor configured to: acquire first statistical information about distribution of most significant bit position that is not a sign or least significant bit position that is not zero for each of a plurality of first fixed-point number data, the data being a computation result of the computation in the first layer; execute computation on a plurality of output data of the first layer according to a predetermined rule, in the computation in the second layer; and acquire second statistical information based on the predetermined rule and the first statistical information, and determine a bit range for limiting a bit width when a plurality of second fixed-point number data, the data being a computation result of the computation in the second layer, are stored in a register, based on the second statistical information.

Abstract: A bolt includes a head portion on which a recess is formed. The recess has a bottom surface and a sidewall extending from a periphery of the bottom surface. The sidewall has a lower end defined by the bottom surface and includes an increased diameter portion and a reduced diameter portion. The increased diameter portion has an inner diameter larger than an inner diameter of the lower end of the side wall. The reduced diameter portion has an inner diameter smaller than the inner diameter of the increased diameter portion. The reduced diameter portion is located opposite to the bottom surface across the increased diameter portion.

Abstract: A method for ascertaining a state variable of a magnetic actuator at a particular point in time. The method includes a step of reading in and a step of calculating. In the step of reading in, a first sensor value and at least one second sensor value are read in, the first sensor value representing a physical variable identical to that of the second sensor value, and the first sensor value having been detected after the second sensor value. In the step of calculating, the state variable is calculated using the first sensor value and the second sensor value as input variables to at least one approximation function.

Abstract: Systems and methods for vehicle-based weather detection are disclosed herein. The systems and methods can include selecting one or more vehicles from a plurality of vehicles based on one or more network membership parameters. One or more data acquisition networks can be formed using the one or more selected vehicles. Sensor data can be received from the one or more data acquisition networks. One or more weather conditions can be predicted using the sensor data. One or more environmental elements can be updated based on the predicted weather conditions.

Abstract: A gas sensing device includes gas sensors for generating signal samples corresponding to a concentration of a gas; a heat source for heating the gas sensors according to a first temperature profile during recovery phases and according to a second temperature profile during sense phases, a preprocessing processor for preprocessing the received signal samples; a feature extraction processor for extracting feature values from the preprocessed signal samples; a humidity processor for estimating a humidity value of the mixture of gases, including a first trained model based algorithm processor, and wherein the humidity value is based on an output of the first algorithm processor; a gas concentration processor for creating sensing results, wherein the gas concentration processor comprises a second trained model based algorithm processor, wherein the sensing results are based on output values of the second algorithm processor, and wherein the sensing results depend on the humidity value.

Abstract: Method, device, and system for identifying a model-based time dependent light scattering signature that includes receiving an experimental time dependent light scattering signature comprising experimental data descriptive of an average molecular weight of protein components in a solution over time. The method further includes identifying an Ansatz for evaluating the experimental time dependent light scattering signature, the Ansatz being an initial model-based time dependent light scattering signature, the initial model-based time dependent light scattering signature identifying at least one key variable. The method also includes adjusting the at least one key variable in the initial model-based time dependent light scattering signature until a final model-based time dependent light scattering signature is identified. In some instances, the final model-based time dependent light scattering signature identifies at least one protein aggregation mechanism.