Abstract: An example computing device is configured to (i) establish a connection to a secure wireless network (ii) determine that one or more playback devices of a media playback system are not connected to the secure wireless network (iii) receive, via a graphical display, a user input indicating a request to update the one or more playback devices with network configuration parameters for the secure wireless network, (iv) retrieve, from storage, a list of the one or more playback devices, (v) receive an input indicating a first playback device to be updated from the list, (vi) establish an initial communication path with the first playback device, (vii) transmit a set of one or more messages to the first computing device collectively comprising the network configuration parameters for the secure wireless network, and (viii) receive an indication that the first computing device has established a connection to the secure wireless network.

Abstract: A method for identifying a collar using machine learning may include acquiring one or more measurements from one or more depth points within a wellbore including a tubular string, training a machine learning model using a training dataset to create a trained machine learning model, and identifying at least one hyperparameter using the trained machine learning model. The method may further include creating a synthetic model, wherein the synthetic model is defined by one or more pipe attributes, minimizing a mismatch between the one or more measurements and the synthetic model utilizing the at least one hyperparameter, updating the synthetic model to form an updated synthetic model, and repeating the minimizing the mismatch with the updated synthetic model until a threshold is met.

Abstract: A method and a system for predicting a gas content in transformer oil based on a joint model are provided and belong a field of transformer failure prediction. The method includes the following: determining a type and a time series of gas to be predicted related to a failure, processing an original series by adopting empirical mode decomposition (EMD) and local mean decomposition (LMD) for a non-stationarity characteristic of a dissolved gas concentration series in oil; performing normalization on each sub-series component, dividing a training sample and a test sample; and establishing a deep belief network (DBN) prediction model for each of the sub-series components for training, performing superposition and reconstruction on the established DBN prediction model to perform characteristic extraction and classification on multi-dimensional data of the failure, evaluating prediction performance of the prediction model through calculating an error index.

Abstract: Communication in an asymmetric multiengine system is handled using engine routing tables defining subsets of engines to control engine-to-engine connection mapping. Local devices perform an engine selection process that includes selecting an engine routing table based on a number of remote engines in a remote device and selecting an engine set from the selected table based on an identifier of the remote device. A connection to the remote device is created using the engines identified in the selected engine set.

Abstract: A lithotripter is provided for fragmenting a stone inside a patient's body. In one form, the lithotripter includes a motor having at least two modes of operation and is configured to produce first and second waveforms. A wave guide shaft is configured to transmit the first and second waveforms to the stone. In one form, at least one of the first and second waveforms is provided to the stone at a frequency that is about equal to a natural frequency of the stone. In a variation, the lithotripter may include an ultrasonic driver configured to produce an ultrasonic frequency waveform and a sonic driver configured to produce a sonic frequency waveform. The sonic driver is mechanically coupled to the ultrasonic driver. The ultrasonic driver and the sonic driver may be disposed within a driver housing. In another variation, the lithotripter may include a brushless DC motor.

Abstract: A method may include obtaining dielectric log data regarding a geological region of interest. The method may further include generating sponge core data of the geological region of interest using a neural network model and the dielectric log data. The neural network model may be trained using various dielectric logs from various well sources. The method may further include determining, using the sponge core data, an amount of hydrocarbons in the geological region of interest.

Abstract: The invention relates to an implantation device for implanting a vascular implant, which enables a vascular implant to be easily positioned and to be discharged in a slip-free manner.

Abstract: Aspects of the present disclosure relate to a control system, system and method for controlling a transition between a first driving mode and a second driving mode of a vehicle. The present disclosure relates to receiving image data of an occupant of the vehicle; quantifying one or more characteristics of the occupant's gaze based at least in part on the received image data, the one or more characteristics being indicative of the occupant's attention to a non-driving task; determining a transition profile for transitioning between the first driving mode and the second driving mode based at least in part on the one or more characteristics of the occupant's gaze; and generating and outputting a control signal to transition from the first driving mode to the second driving mode, the control signal comprising instructions for controlling one or more vehicle systems in accordance with the determined transition profile.

Abstract: The present disclosure generally relates to systems and methods for generating termination notification of an experiment to be presented through a user interface. In some implementation examples, a termination notification system generates a probability value that is valid as of a time period of an experiment at a predetermined point in time based on at least data sample obtained during the time period, predicted sample sizes of each time period of the experiment, or probability values generated prior to the time period. Responsive to determining that the probability value that is valid as of the time period satisfies a threshold value, the termination notification system causes the user interface to present the termination notification that, when selected, causes the experiment to terminate prior to completion of a predicted duration of the experiment.

Abstract: A web browser can manage different session cookies associated with a website by storing the session cookies in distinct tab storage locations associated with different tabs of the web browser, instead of in a global storage location accessible by any tab of the web browser. When the web browser prepares to send a request associated with an active tab to a server associated with the website, the web browser can temporarily copy a corresponding session cookie into the global storage location from the tab storage location associated with the active tab. Accordingly, even if the website does not natively support multiple concurrent user sessions with the web browser, the web browser can send different session cookies to the website based on which tab of the web browser is active, and thereby allow users to engage in different user sessions with the website in different tabs.

Abstract: Methods and systems for inspecting the integrity of multiple nested tubulars are provided. A method for inspecting the integrity of multiple nested tubulars can comprise conveying an electromagnetic pipe inspection tool inside the innermost tubular of the multiple nested tubulars; taking measurements of the multiple nested tubulars with the electromagnetic pipe inspection tool; inverting the measurements for a tubular integrity property of each individual tubular of the multiple nested tubulars to provide inverted tubular integrity properties; arranging the inverted integrity properties into an inverted image representative of an estimated tubular integrity property of each individual tubular; and feeding the inverted image to a pre-trained deep neural network (DNN) to produce a corrected image, wherein the DNN comprises at least one convolutional layer, and wherein the corrected image comprises a representation of the tubular integrity property of each individual tubular of the multiple nested tubulars.

Abstract: A system for forming a multiple layer object, the system including: a spreader to form a layer of polymer particles, the polymer particles having a melting temperature (Tm) of at least 250° C.; a fluid ejection head to selectively deposit a first fusing agent on a first portion of the layer and selectively deposit a second fusing agent on a second portion of the layer, wherein the fluid ejection head does not deposit the fusing agent on a third portion of the layer; and a heat source to heat the first portion and second portion, wherein the first portion is part of the multiple layer object and the second portion is not part of the multiple layer object and the second portion raises a temperature of polymer particles in a subsequent layer.

Abstract: Processes and systems for identifying and removing non-functional Internet-of-Things (IoT) devices from a cellular network are discussed herein. In one example, a probability distribution function of a data profile transmitted by a type of IoT devices is generated. The probability distribution function may be chosen based on a known distribution such as a Gaussian, Bessel, or linear regressive model. The probability distribution function may be empirically generated by applying data received from IoT devices to a machine learning model using supervised or unsupervised learning. After generating the model representing the expected data profile of data received from a type or class IoT devices, data transmitted by the IoT devices may be applied to the model to determine whether the IoT devices are functional or non-functional. Non-functional IoT devices may be removed from the cellular network.

Abstract: A transportation data logging device including one or more of: a sensing unit configured to sense at least one of internal state information of the accommodating body and external event information of the accommodating body; a memory unit configured to store information acquired through the sensing unit; a communication unit configured to transmit the information stored in the memory unit to an external electric device; a control unit configured to control operation of the sensing unit, the memory unit and the communication unit; and a power supply unit configured to supply power to the control unit.

Abstract: A method for characterizing propagation of metallic short cracks and long cracks includes: acquiring crack tip opening displacement in a metallic notched sample under cyclic loading; acquiring crack tip opening displacement amount caused by a single monotonic tensile in the notched sample, and crack tip opening displacement caused by monotonic tensile in the notched sample under a maximum far-field stress; and based on an original Shyam model, constructing, according to the crack tip opening displacement amount and the crack tip opening displacement by obtaining yield strength of metals, a Tm?c model for characterizing the propagation of short cracks and long cracks, where the Tm?c model is used for representing the growth rate of short cracks and long cracks.

Abstract: An ultrasonic surgical instrument and method of assembly with a predetermined alignment includes first and second modular assemblies and an electrical lockout. The first modular assembly includes at least a portion of an end effector configured to manipulate a tissue. The second modular assembly includes a transducer power circuit and an activation switch electrically connected to the transducer power circuit. The electrical lockout is electrically connected to the transducer power circuit and configured to inhibit the activation switch from powering the ultrasonic transducer with the first and second modular assemblies misaligned from the predetermined alignment such that the first and second modular assemblies are in a locked-out state. The electrical lockout is further configured to allow the activation switch to power the ultrasonic transducer with the first and second modular assemblies in the predetermined alignment such that the first and second modular assemblies are in an operational state.

Abstract: Embodiments of the present disclosure are directed towards a method for improving neutron interpretations in a subsurface formation. Embodiments may include estimating mineral concentrations and kerogen concentrations at one or more depths in the subsurface formation and determining kerogen properties at one or more depths in the subsurface formation. Embodiments may further include calculating mineral properties at one or more depths in the subsurface formation and calculating a neutron-based log response to a rock matrix based upon, at least in part, the kerogen properties and the mineral properties at one or more depths in the subsurface formation by subtracting.

Abstract: An automatic parking system includes an infrastructure sensor that is able to detect a state of a parking lot. A blind spot area that does not allow the state of the parking lot to be detected by the infrastructure sensor is identified in the parking lot, and the state of the parking including the blind spot area, the state of the parking lot being detected by an on-board sensor of a vehicle in the parking lot, is acquired. Based on the state of the parking lot detected by the infrastructure sensor and the state of the parking lot that includes the blind spot area and that is detected by the on-board sensor of the vehicle in the parking lot, a travel route for the vehicle traveling in the parking lot is generated.

Abstract: Provided is a client terminal access control method, and the method includes: allocating a communication process of a first client group comprising a plurality of client terminals to an edge server; when a failure occurs in an operation of the edge server, allocating a communication process of a second client group comprising at least one client terminal belonging to the first client group to a failure-handling edge server; and determining whether a failure occurs in an operation of the failure-handling edge serve.

Abstract: A user equipment may determine a latency requirement of the user equipment, and may determine a first set of latencies between the user equipment and a first multi-access edge computing (MEC) device. The user equipment may determine a second set of latencies between the user equipment and a second MEC device, and may calculate a first violation probability based on the latency requirement and the first set of latencies. The user equipment may calculate a second violation probability based on the latency requirement and the second set of latencies, and may identify the first MEC device or the second MEC device based on the first violation probability and the second violation probability. The user equipment may selectively initiate a MEC handoff of the user equipment to the first MEC device or the second MEC device based on identifying the first MEC device or the second MEC device.