Abstract: In some examples, a non-transitory computer-readable medium stores machine-readable instructions, which, when executed by a processor, cause the processor to: identify an event of a computing device from operational data of the computing device; evaluate the event to determine if the event is a non-routine event; and store the event to a timeline if the event is a non-routine event, where the timeline includes an incident of the computing device.

Abstract: A method of balancing a dataset for a machine learning model includes identifying confusing classes of few-shot classes for a machine learning model during validation. One of the confusing classes and an image from one of the few-shot classes are selected. An image perturbation is computed such that the selected image is classified as the selected confusing class. The selected image is modified with the computed perturbation. The modified selected image is added to a batch for training the machine learning model.

Abstract: An initialization circuit of a delay locked loop (DLL) includes a sense circuit and a control circuit. The sense circuit receives an enable signal, a reference clock signal, and various delayed reference clock signals, and outputs another enable signal. The control circuit receives the two enable signals and outputs and provides a control signal to a loop filter of the DLL to control a delay value associated with the DLL. The control signal is provided to the loop filter such that the delay value associated with the DLL equals a predetermined delay value for a predetermined time duration. Further, after a lapse of the predetermined time duration, the delay value associated with the DLL increases until a difference between a time period of the reference clock signal and the delay value equals a threshold value.

Abstract: A current generator for a medical treatment system is disclosed herein. In one example, the medical treatment system can include a cable and a current generator. The cable can include a distal portion that couples to a medical device and a proximal portion. The proximal portion of the cable can include a first and second conductor, with each conductor having an exposed contact region. The current generator can releasably couple to the cable to deliver an electrical signal. The current generator can include an inner chamber that can receive at least a portion of the cable. The current generator can also include first and second electrical connectors, which can electrically connect to the conductors. The current generator can also include a cable guide that can assist with position the cable within the inner chamber and a cable lock that can lock a part of the cable in position.

Abstract: In some implementations, the EMV uses a calibration to inform autonomous control over the EMV. To calibrate an EMV, the system first selects a calibration action comprising a control signal for actuating a control surface of the EMV. Then, using a calibration model comprising a machine learning model trained based on one or more previous calibration actions taken by the EMV, the system predicts a response of the control surface to the control signal of the calibration action. After the EMV executes the control signal to perform the calibration action, the EMV system monitors the actual response of the control signal and uses that to update the calibration model based on a comparison between the predicted and monitored states of the control surface.

Abstract: Described herein are therapeutic pH responsive compositions comprising a block copolymer and a therapeutic agent useful for the treatment of cancer.

Abstract: A method for electrical grid monitoring using aggregated smart meter data includes receiving, from an electric grid monitoring device, electrical data aggregated from a plurality of electric meters each connected to a secondary side of at least one electrical transformer within a local geographic region. Each electric meter is configured to generate measurement data based on measurements taken at a respective electrical load. The electrical data indicates one or more characteristics of a secondary electrical distribution system connected to the at least one electrical transformer. The method includes determining, based on the electrical data aggregated from the plurality of electric meters, one or more characteristics of the primary electrical distribution system connected to the electrical transformer.

Abstract: Systems and methods for building predictive and prescriptive analytics of wind turbines generate a historical operational dataset by loading historical operational SCADA data of one or more wind turbines. Each sensor measurement is associated with an engineering tag and at least one component of a wind turbine. The system creates one or more performance indicators corresponding to one or more sensor measurements, and applies at least one data clustering algorithm onto the dataset to identify and label normal operation data clusters. The system builds a normal operation model using normal operational data clusters with Efficiency of Wind-To-Power (EWTP) and defines a statistical confidence range around the normal operation model as criterion for monitoring wind turbine performance. As real-time SCADA data is received by the system, the system can detect an anomalous event, and issue an alert notification and prescriptive early-action recommendations to a user, such as a turbine operator, technician or manager.

Abstract: A seal for a tub/drum assembly has a ring body to secure the seal to the tub/drum assembly. An arm extends from the ring body. The arm reduces a gap between the tub and drum. A mass at an end of the arm. The mass enables the arm to deflect at high drum rotational speeds increasing the gap between the tub and drum during high rotational speed of the drum. Alternatively, the arm is of a material prohibiting substantial deflection so that the gap is maintained at all speeds between the tub and drum without the arm contacting the drum creating high resistance in an airflow path.

Abstract: When an EMV performs an action comprising moving a tool of the EMV through soil or other material, the EMV can measure a current speed of the tool through the material and a current kinematic pressure exerted on the tool by the material. Using the measured current speed and kinematic pressure, the EMV system can use a machine learned model to determine one or more soil parameters of the material. The EMV can then make decisions based on the soil parameters, such as by selecting a tool speed for the EMV based on the determined soil parameters.

Abstract: Performance measures are predicted for queries to prioritize query performance at a database system. A trained machine learning model for the database system may be applied to a query to determine a predicted performance measure for the query. The predicted performance measure may be compared with other predicted performance measures for other waiting queries to determine a priority for executing the query.

Abstract: An apparatus can manage a folding performed on a flexible device. The apparatus includes a foldable display, at least one sensor coupled to the foldable display, and a processor. The at least one sensor includes at least two sensing elements each of the at least two sensing elements is arranged asymmetrically with respect to each other along the foldable display. The processor is configured to determine at least one of a location and an angle of folding of the foldable display based on sensed values detected from the at least two sensing elements. The processor is also configured to render content on the foldable display based on the location and the angle of the folding.

Abstract: A device trains a classification model with defect classifier training data to generate a trained classification model and processes information indicating priorities and rework efforts for defects, with a Pareto analysis model, to select a set of classes for the defects. The device calculates defect scores for the set of the classes and selects a particular class, from the set of the classes, based on the defect scores. The device processes a historical data set for the particular class to identify a root cause corrective action (RCCA) recommendation and processes information indicating a defect associated with the particular class, with the trained classification model, to generate a predicted RCCA recommendation for the defect. The device processes the predicted RCCA recommendation and the RCCA recommendation, with a linear regression model, to determine an effectiveness score for the predicted RCCA recommendation and retrains the classification model based on the effectiveness score.

Abstract: Aspects of the disclosure relate to identifying legitimate websites and removing false positives from domain discovery analysis. Based on a list of known legitimate domains, a computing platform may generate a baseline dataset of feature vectors corresponding to the known legitimate domains. Subsequently, the computing platform may receive information identifying a first domain for analysis and may execute one or more machine learning algorithms to compare the first domain to the baseline dataset. Based on execution of the one or more machine learning algorithms, the computing platform may generate first domain classification information indicating that the first domain is a legitimate domain. In response to determining that the first domain is a legitimate domain, the computing platform may send one or more commands directing a domain identification system to remove the first domain from a list of indeterminate domains maintained by the domain identification system.

Abstract: A method of communication in a vehicle network is provided. An example method includes transmitting a network allocation map in a TDMA cycle, indicating reservation of time slots in the TDMA cycle. The method further includes transmitting a synchronization signal in the TDMA cycle, to synchronize the timing of nodes in the vehicle network. Each of the reserved time slots is identified by at least a network ID of a transmitting node in the vehicle network, and a slot type comprising one of a low latency traffic slot, and a bulk traffic slot. Further, the low latency traffic slots are repeated in the TDMA cycle at least as frequently as a guaranteed QoS latency parameter. Further, the bulk traffic slots are at least as long as a guaranteed QoS throughput parameter.

Abstract: One or more protocols between a control plane entity (e.g., a mobility management entity (MME)) and its peer nodes (e.g., mobile switching center (MSC) and/or short message service center (SMSC)) are enhanced to improve short messaging services for Internet of things (IoT) devices. Oftentimes, IoT devices enter an extended sleep mode during which they cannot be reached by the control plane entity. In one aspect, the control plane entity can determine a wait period based on information, such as, but not limited to, device context data, mapping tables, policy data, commercial traffic data, latency data, device delay tolerance, sleep mode timer values, etc. The wait period can be provided to the peer nodes, which can utilize the wait period to control one or more message retry mechanisms based on IoT device behaviors resulting in an improvement of overall IoT service behaviors and a delivery of superior IoT customer experience.

Abstract: The present disclosure relates to neuromuscular stimulation and sensing cuffs. The neuromuscular stimulation cuff has at least two fingers and a plurality of electrodes disposed on each finger. More generally, the neuromuscular stimulation cuff includes an outer, reusable component and an inner, disposable component. One or more electrodes are housed within the reusable component. The neuromuscular stimulation cuff may be produced by providing an insulating substrate layer, forming a conductive circuit on the substrate layer to form a conductive circuit layer, adhering a cover layer onto the conductive circuit layer to form a flexible circuit, and cutting at least one flexible finger from the flexible circuit. The neuromuscular stimulation cuff employs a flexible multi-electrode design which allows for reanimation of complex muscle movements in a patient, including individual finger movement.

Abstract: A device access control system includes a first computing system that is coupled to a second computing system via a network, and that includes a device access controller subsystem coupled to devices, a central processing subsystem, and a device access control manager subsystem. The device access control manager subsystem identifies first application(s) configured for provisioning by the central processing subsystem and second application(s) configured for provisioning by the second computing system, configures the device access controller subsystem to provide the central processing subsystem access to a first subset of the devices to allow the central processing subsystem to provide the first application(s), and configures the device access controller subsystem to provide the second computing system access via the device access control manager subsystem to a second subset of the devices to allow the second computing device to provide the second application(s) using the second subset of the devices.

Abstract: Systems and methods are disclosed herein for classifying, based on most recent information associated with recorded content, the recorded content to an appropriate deletion classifier. A media guidance application may receive information about an event that is associated with a recorded media asset. The media guidance application may determine, based on the event and a current deletion classifier associated with the recorded media asset, whether the current deletion classifier associated with the recorded media asset needs to be updated to a new deletion classifier. The media guidance application may make this determination by accessing a deletion classification database containing rules for classifying recorded media assets into a variety of deletion classifiers.

Abstract: A system to manage multiple-account access using a master key is disclosed. The system includes a master key obtaining subsystem to obtain a master key encoded in a predefined format; a child key generation subsystem to generate one or more child keys corresponding to one or more accounts associated with a user from the master key using a parent-child relationship function; a password generation subsystem to generate one or more passwords regenerative in nature corresponding to the one or more child keys by using a transformation function; a credential association subsystem to associate the one or more passwords with one or more user identifiers corresponding to the one or more accounts; a credential management subsystem to access each of the one or more accounts by using each corresponding the one or more passwords and each corresponding the one or more user identifiers.