Abstract: A braking system is disclosed. The braking system may include a controller configured to determine a speed threshold that is based on a deceleration of an output speed of a powertrain of a machine caused in part by engagement of one or more brakes of the machine during a directional shift in a movement of the machine, the speed threshold being the output speed of the powertrain at which the one or more brakes are to be commanded to disengage. The controller may be configured to command disengagement of the one or more brakes based on a determination that the output speed of the powertrain satisfies the speed threshold.

Abstract: Aspects of the present disclosure implement techniques of a new 3D waveform coding scheme that leverages the spatial properties of 5G NR systems. Specifically, in 5G systems, each UE location may be characterized by three parameters: propagation delay (tp), angle of elevation (?), and angle of azimuth (?). Global coding matrix may be generated by linear combination of these three attributes and a unique lattice code may be generated for each UE at different locations from the base station. Thus, considering the coding gain increases with increasing the distance between the codes, aspects of the present disclosure take advantage of geometrical properties of lattice. Particularly, within the 3D waveform coding, if lattice distance between co-beamed UEs is determined to be greater than threshold radius, a conjugate lattice code for the UEs may be applied in accordance with aspects of the present disclosure.

Abstract: The embodiments described herein are directed at techniques to de-correlate Bluetooth interference seen across WLAN receive antennas/space in a Bluetooth transceiver/WLAN transceiver combination device. A Bluetooth interference whitening technique may be utilized, wherein a whitening matrix is computed based on a leakage signal resulting from a training signal transmitted by the Bluetooth transceiver. The leakage signal may leak in to the WLAN transceiver and a set of attributes is calculated for each frequency the leakage signal is received on. One or more whitening matrixes are calculated based on the set of attributes for each frequency the leakage signal is received on. In response to the WLAN transceiver receiving a signal of interest, an appropriate whitening matrix from the one or more whitening matrixes is selected and is then applied to the received signal of interest to de-correlate any interference generated as a result of the Bluetooth transmission.

Abstract: A method of providing network service to a user equipment (UE) may be provided. The method may include identifying an event associated with a first subscriber identity module (SIM) from a plurality of SIMs, wherein the event includes at least one of: non-availability of a network service over the first SIM, a condition that a critical data session is on-going for at least one application associated with at least one SIM from the plurality of SIMs in the UE, and a condition that a power saving criterion is met. Further, creating an enhanced packet data gateway (ePDG) interface for the first SIM using a physical interface as mobile network of a second SIM from the plurality of SIMs, and providing the network service associated with the first SIM using the ePDG interface.

Abstract: This present disclosure provides a method for generating diagrammatic representation of an area. The method includes obtaining, by an electronic device (100), sensor data over a period of time of a plurality of locations of the area. Further, the method includes generating, by the electronic device (100), a heat map of the sensor data of each of the location of the area. Further, the method includes generating, by the electronic device (100), the diagrammatic representation of the area based on the heat map of the sensor data.

Abstract: The embodiments described herein are directed at techniques to de-correlate Bluetooth interference seen across WLAN receive antennas/space in a Bluetooth transceiver/WLAN transceiver combination device. A Bluetooth interference whitening technique may be utilized, wherein a whitening matrix is computed based on a leakage signal resulting from a training signal transmitted by the Bluetooth transceiver. The leakage signal may leak in to the WLAN transceiver and a set of attributes is calculated for each frequency the leakage signal is received on. One or more whitening matrixes are calculated based on the set of attributes for each frequency the leakage signal is received on. In response to the WLAN transceiver receiving a signal of interest, an appropriate whitening matrix from the one or more whitening matrixes is selected and is then applied to the received signal of interest to de-correlate any interference generated as a result of the Bluetooth transmission.

Abstract: Memory devices might include an array of memory cells and a controller configured to access the array of memory cells. The controller may sense a first threshold voltage of the selected memory cell. In response to the sensed first threshold voltage being between a first pre-program verify level and a first program verify level, the controller may bias the selected memory cell for SSPC programming. The first pre-program verify level might be less than a final pre-program verify level and the first program verify level might be less than a final program verify level. In response to the sensed first threshold voltage being less than the first pre-program verify level, the controller may bias the selected memory cell for non-SSPC programming. In response to the sensed first threshold voltage being greater than the first program verify level, the controller may inhibit programming of the selected memory cell.

Abstract: A braking system is disclosed. The braking system may include a controller configured to determine a power limit for one or more brakes of a machine based on a temperature of the one or more brakes during engagement of the one or more brakes according to a commanded power. The power limit may be a power at which the temperature of the one or more brakes ceases to increase. The controller may be configured to determine a speed adjustment for the machine based on the power limit and the commanded power, and cause adjustment to a speed of the machine based on the determined speed adjustment.

Abstract: Vaporizer ovens and related vaporizers are provided. The vaporizer oven can comprise a body comprising a vaporizing chamber with an opening and a removable closure member that can engage the body to close the opening. The body can comprise a first locking component and the closure member can comprise a second locking component that interlocks with the first locking component. In some embodiments, a biasing element can be disposed in one of the body or the closure member to exert a biasing force to maintain the closure member in a locked position. A related vaporizer can comprise a housing that receives the vaporizer oven. Related methods for making a vaporizer oven and a vaporizer are also provided.

Abstract: A control system includes a controller that may determine whether a second speed limit, which is less than or equal to a first speed limit, is in effect for a segment of the route. The controller may switch one or more operational settings of a vehicle from the first speed limit to the second speed limit, and may operate the vehicle at the first speed limit outside of the segment of the route and operate the vehicle at or below the second speed limit while the vehicle is approaching or within the segment of the route.

Abstract: According to an aspect, a radar system comprising a transmitter operative to transmit a first set of chirps on a single transmit antenna and a second set of chirps on a plurality of transmit antennas, in that, the first set of chirps forming a first part of a chirp frame and the second set of chirps forming a second part of the chirp frame, a first receiver segment operative to generate a first set of parameters from a first set of received chirps that is reflection of the first set of chirps from one or more objects and a second segment operative to generate a second set of parameters from a second set of received chirps that is reflection of the second set of chirps from the one or more objects part of the received chirp frame and the first set of parameters, wherein, first set of parameters and second set of parameters comprise at least one of range doppler and angle of one or more objects.

Abstract: In presence of high-cardinality treatment variables, number of counterfactual outcomes to be estimated is much larger than number of factual observations, rendering the problem to be ill-posed. Furthermore, lack of information regarding the confounders among large number of covariates pose challenges in handling confounding bias. Essential is to find lower-dimensional manifold where an equivalent problem of causal inference can be posed, and counterfactual outcomes can be computed.

Abstract: Among other things, equipment is located at an intersection of a transportation network. The equipment includes an input to receive data from a sensor oriented to monitor ground transportation entities at or near the intersection. A wireless communication device sends to a device of one of the ground transportation entities, a warning about a dangerous situation at or near the intersection, there is a processor and a storage for instructions executable by the processor to perform actions including the following. A machine learning model is stored that can predict behavior of ground transportation entities at or near the intersection at a current time. The machine learning model is based on training data about previous motion and related behavior of ground transportation entities at or near the intersection.

Abstract: Systems, methods, and devices reduce interference experienced by wireless communications devices. Methods include receiving a first signal from a first transceiver, the first signal being compatible with a first communications protocol, and configuring a filter based, at least in part, on the received first signal, the filter being communicatively coupled to a second transceiver collocated in a same wireless communications device as the first transceiver. The methods further include receiving a second signal, the second signal being compatible with a second communications protocol, and filtering the second signal to remove at least some components of the first signal from the second signal, the filtering reducing at least some interference from the first signal with the second signal. The methods also include providing the filtered second signal to the second transceiver.

Abstract: Among other things, equipment is located at an intersection of a transportation network. The equipment includes an input to receive data from a sensor oriented to monitor ground transportation entities at or near the intersection. A wireless communication device sends to a device of one of the ground transportation entities, a warning about a dangerous situation at or near the intersection, there is a processor and a storage for instructions executable by the processor to perform actions including the following. A machine learning model is stored that can predict behavior of ground transportation entities at or near the intersection at a current time. The machine learning model is based on training data about previous motion and related behavior of ground transportation entities at or near the intersection.

Abstract: Among other things, equipment is located at an intersection of a transportation network. The equipment includes an input to receive data from a sensor oriented to monitor ground transportation entities at or near the intersection. A wireless communication device sends to a device of one of the ground transportation entities, a warning about a dangerous situation at or near the intersection, there is a processor and a storage for instructions executable by the processor to perform actions including the following. A machine learning model is stored that can predict behavior of ground transportation entities at or near the intersection at a current time. The machine learning model is based on training data about previous motion and related behavior of ground transportation entities at or near the intersection.

Abstract: A control system dictates operational settings of a rail vehicle system based a transitory second speed limit that is no faster than a current first speed limit and which is issued for a determined segment of the track for a determined time period. The control system obtains a current time, determines whether the transitory second speed limit has started, is in effect, or has expired based on the current time relative to the determined time period, and, in response to such determination, performs one or more of (a) generate a prompt to indicate that the determined time period has expired, (b) operate the rail vehicle system at the first speed limit, and/or (c) modify the operational settings of the rail vehicle system to exceed the second speed limit in the determined segment but not exceed the first speed limit for the determined segment.

Abstract: Compounds of Formula I and Formula II, pharmaceutically acceptable salt thereof, stereoisomers of any of the foregoing, or mixtures thereof are agonists of the APJ Receptor and may have use in treating cardiovascular and other conditions. Compounds of Formula I and Formula II have the following structures: (I), (II) where the definitions of the variables are provided herein.

Abstract: Among other things, equipment is located at an intersection of a transportation network. The equipment includes an input to receive data from a sensor oriented to monitor ground transportation entities at or near the intersection. A wireless communication device sends to a device of one of the ground transportation entities, a warning about a dangerous situation at or near the intersection, there is a processor and a storage for instructions executable by the processor to perform actions including the following. A machine learning model is stored that can predict behavior of ground transportation entities at or near the intersection at a current time. The machine learning model is based on training data about previous motion and related behavior of ground transportation entities at or near the intersection.

Abstract: The present invention discloses a system and a method for resource data classification and management. In operation, the present invention provides for evaluating a deployment probability score for each incoming data-record based on previous data-records. Further, a match score of each incoming data-record is computed. Furthermore, each incoming data-record is analyzed to determine a bench period associated with each incoming data-record. Yet further, the present invention, categorizes the incoming data-records into two or more categories based on corresponding deployment probability score, match score and bench period. A deployment opportunity index is generated for each incoming data-record representing the categories and corresponding probability score, match score and bench period, providing an upfront indication of deploy-ability of an incoming data-record. Finally, the present invention provides for generating a list of recommendations for each data-record.