Abstract: A system for drilling a well may be adapted to process signals received from a fiber optic cable located in the casing of a previously drilled well or wells. The fiber optic cable may act as a distributed sensor receiving acoustic signals generated during the drilling of the well, and the system may be programmed to process the signals from the fiber optic cable to locate the borehole of the well being drilled, including its location relative to the previously drilled well or well. The system may be used to automatically update a well plan for the well being drilled responsive to information about the location of the borehole and also may be used to automatically adjust one or more drilling parameters or drilling operations responsive to the location of the second well borehole.

Abstract: A system and apparatus for displaying toolface orientation data including a surface steerable system for controlling drilling direction of a bottom hole assembly (BHA). The surface steerable system configured to receive toolface orientation data from the BHA and generate display data responsive thereto. A circular chart display is generated responsive to the display data responsive to the display data from the surface steerable system, the circular chart display representing current and historical toolface orientation data. The current and historical toolface orientation data is represented as an arc indicator defined on the circular chart illustrating a range in degrees of the current and historical toolface orientations.

Abstract: The disclosure pertains to a secure intelligent networked system for identifying and correcting a defect in a health care service and method for using the same. The system receives data regarding patient care, generally obtained from commercial insurance claims, customer claims or Medicare claims. The system operates on a plurality of nodes configured based on a set of metrics associated with the appropriateness of health care measures. The system may generate a determination regarding the appropriateness of the measure. The system may further produce a second determination denoting a physician's overall conformity with appropriate standards of practice. Finally, the system may generate a knowledge narrative indicating an appropriate action.

Abstract: System and method for controlling the drilling of a second wellbore in close proximity to a first well bore. A computer system obtains information regarding a previously drilled wellbore, as well as information regarding a second wellbore being drilled. Using information obtained from one or more magnetic sensors, the computer system determines an optimal target path for continued drilling of the second wellbore and may issue one or more control signals to one or more control systems coupled to a drilling rig to automatically drill in accordance with the selected path. The computer system can generate a plurality of potential paths using one or more cost curves and/or value curves to determine the optimal path for the second wellbore.

Abstract: Disclosed are methods, devices, and computer-readable media for detecting lanes and objects in image frames of a monocular camera. In one embodiment, a method is disclosed comprising receiving a plurality of images; identifying a horizon in the plurality of images by inputting the plurality of images into a deep learning (DL) model (either stored on a local device or via a network call); determining one or more camera parameters based on the horizon; and storing or using the camera parameters to initialize a camera.

Abstract: An example apparatus including a rotor stage of an electrostatic machine, the rotor stage including a rotor plate, at least one rotor via, a rotor power distribution board including at least one rotor power distribution bus, at least one rotor power coupling perforation, and a rotor electrical coupling circuit; a stator stage of the electrostatic machine, the stator stage including a stator plate, at least one stator via, a stator power distribution board including at least one stator power distribution bus, at least one stator power coupling perforation; and a stator electrical coupling circuit structured to electrically couple the at least one stator power distribution bus to at least a portion of the plurality of stator electrodes, wherein the stator electrical coupling circuit extends through the at least one stator via and the at least one stator power coupling perforation.

Abstract: A system and method for surface steerable drilling are provided. In one example, the method includes monitoring operating parameters for drilling rig equipment and bottom hole assembly (BHA) equipment for a BHA, where the operating parameters control the drilling rig equipment and BHA equipment. The method includes receiving current inputs corresponding to performance data of the drilling rig equipment and BHA equipment during a drilling operation and determining that an amount of change between the current inputs and corresponding previously received inputs exceeds a defined threshold. The method further includes determining whether a modification to the operating parameters has occurred that would result in the amount of change exceeding the defined threshold and identifying that a problem exists in at least one of the drilling rig equipment and BA equipment if no modification has occurred to the operating parameters. The method includes performing a defined action if a problem exists.

Abstract: An electrostatic machine including a rotor plate comprising a plurality of rotor electrodes, and rotatably fixed to a shaft; a stator plate comprising a plurality of stator electrodes; an excitation circuit electrically coupled to at least one of the rotor plate or the stator plate at a first end, and electrically couplable to exchange power at a second end with a selected one of an electrical power source or an electrical load; wherein the excitation circuit is configured to: in a first motoring mode, provide excitation power to at least one of the rotor plate or the stator plate, wherein the shaft provides positive torque to the load; and in a second generating mode, wherein the shaft receives negative torque from the load, operably couple at least one of the rotor plate or the stator plate to the electrical power source.

Abstract: Disclosed are a multi-task training technique and resulting model for detecting distracted driving. In one embodiment, a method is disclosed comprising inputting a plurality of labeled examples into a multi-task network, the multi-task network comprising: a backbone network, the backbone network generating one or more feature vectors corresponding to each of the labeled examples, and a plurality of prediction heads coupled to the backbone network; minimizing a joint loss based on outputs of the plurality of prediction heads, the minimizing the joint loss causing a change in parameters of the backbone network; and storing a distraction classification model after minimizing the joint loss, the distraction classification model comprising the parameters of the backbone network and parameters of at least one of the prediction heads.

Abstract: Disclosed are methods, devices, and computer-readable media for detecting lanes and objects in image frames of a monocular camera. In one embodiment, a method is disclosed comprising receiving a sample set of image frames; detecting a plurality of markers in the sample set of image frames using a convolutional neural network (CNN); fitting lines based on the plurality of markers; detecting a plurality of vanishing points based on the lines; identifying a best fitting horizon for the sample set of image frames via a RANSAC algorithm; computing an inverse perspective mapping (IPM) based on the best fitting horizon; and computing a lane width estimate based on the sample set of image frames using the IPM in a rectified view and the parallel line fitting.

Abstract: In at least one embodiment, a control system may include a processor coupled to the database. The control system may include a memory accessible to the processor and storing instructions executable by the processor for: during slide drilling, detecting an increase to a first differential pressure (?P) that is greater than a first threshold pressure. In at least one embodiment, the control system may responsive to detecting the first ?P, determining a time duration for which the first ?P exceeds the first threshold pressure. In at least one embodiment, the control system may responsive to the first ?P exceeding the first threshold pressure for less than a first threshold time, continuing the slide drilling without modifying a drilling parameter.

Abstract: An example electrostatic machine includes a number of stator plates, each having a stator electrode and rotationally fixed to a housing, a shaft at least partially defined within the housing and configured to rotate about an axis, and a number of rotor plates, each having a rotor electrode and rotational fixed to the shaft. The electrostatic machine includes a dielectric fluid disposed in the housing, and that fills a gap between the stator plates and the rotor plates. The electrostatic machine includes a seal associated with the shaft, where the seal includes a material compatible with the dielectric fluid.

Abstract: An electrostatic machine includes a drive electrode and a stator electrode. The drive electrode and the stator electrode are separated by a gap and form a capacitor. The drive electrode is configured to move with respect to the stator electrode. The electrostatic machine further includes a housing configured to enclose the drive electrode and the stator electrode. The stator electrode is fixed to the housing. The electrostatic machine also includes a dielectric fluid that fills a void defined by the housing, the drive electrode, and the stator electrode. The dielectric fluid includes an ester.

Abstract: An automated slide drilling system (ASDS) may be used with a drilling rig system to control slide drilling. The ASDS may autonomously control slide drilling without user input during the slide drilling. The ASDS may further support a transition from rotary drilling to slide drilling to rotary drilling without user input during the transitions. The ASDS may also support user input and user notifications for various steps to enable manual or semi-manual control of slide drilling by a driller or an operator.

Abstract: An energy management unit (EMU) is disclosed. The EMU including: a cold plate sandwiched between a first printed circuit board (PCB) and a second PCB, the cold plate comprising one or more magnetics; wherein the cold plate is configured to cool both the first PCB and the second PCB.

Abstract: Analysis and control of drilling mud and additives is disclosed using a mud analysis system and a mud additive system that may automatically monitor and control the drilling mud during drilling of a well. The mud analysis system may acquire measurements on a sample of the drilling mud during drilling, and may send signals indicative of the drilling mud to a steering control system enabled to control the drilling. The steering control system may receive user input or may make decisions regarding additives to be added to the drilling mud and the timing thereof. The mud additive system may be enabled to receive commands from the steering control system and mix and add additives to the drilling mud.

Abstract: An electrostatic machine includes a drive electrode and a stator electrode. The drive electrode and the stator electrode are separated by a gap and form a capacitor. The drive electrode is configured to move with respect to the stator electrode. The electrostatic machine further includes a housing configured to enclose the drive electrode and the stator electrode. The stator electrode is fixed to the housing. The electrostatic machine also includes a dielectric fluid that fills a void defined by the housing, the drive electrode, and the stator electrode. The dielectric fluid includes an ester.

Abstract: Disclosed are a multi-task training technique and resulting model for detecting distracted driving. In one embodiment, a method is disclosed comprising inputting a plurality of labeled examples into a multi-task network, the multi-task network comprising: a backbone network, the backbone network generating one or more feature vectors corresponding to each of the labeled examples, and a plurality of prediction heads coupled to the backbone network; minimizing a joint loss based on outputs of the plurality of prediction heads, the minimizing the joint loss causing a change in parameters of the backbone network; and storing a distraction classification model after minimizing the joint loss, the distraction classification model comprising the parameters of the backbone network and parameters of at least one of the prediction heads.

Abstract: Embodiments of this disclosure relate to electronic information, and disclose a smart refrigerator based on big data analysis of a server, including a refrigerator body, a collector, and a communication circuit. The collector is disposed in the refrigerator body and is used to collect human body health parameter information. The communication circuit is disposed in the refrigerator body and is connected to the collector, and is used to: upload human body health parameter information to a server, obtain a diet solution that is returned by the server after the server performs big data analysis on the human body health parameter information, and push the diet solution. This disclosure further discloses a health management method based on a smart refrigerator and a health management system.

Abstract: A controller of an electric vehicle is disclosed. The controller includes: a BMS LV module configured to manage a low voltage battery; a BMS HV module configured to manage a high voltage battery; a DC-DC module configured to control a plurality of DC-DC FETs; and an ampSwitch module configured to detect a short on a bus and switch to an open state, and further configured to command the DC-DC module or an alternator to match the low battery's voltage and switch to a closed state when voltage returns to normal.