Abstract: Disclosed herein are a communication technique for merging, with an IoT technology, a 5G communication system for supporting a data transmission rate higher than that of a 4G system; and a system therefor. Embodiments herein disclose a method of protecting sensitive user plane traffic in an User Equipment (UE) (100), the method comprising: transmitting, to a network (200), by the UE (100) a first NAS message comprising an indicator indicating that the UE (200) supports of a secure channel for domain name system (DNS); receiving, from the network (200), by the UE (100) a second NAS message including DNS server security information in response to transmitting the first NAS message; and transmitting, to the network (200), by the UE (100) the DNS over the secure channel based on the DNS server security information.

Abstract: A method of correcting a GPS vehicle trajectory of a vehicle on a roadway for a high-definition map is provided. The method comprises receiving first bitmap data from a first sensor of a first vehicle to create a plurality of first multi-layer bitmaps for the first vehicle using the first bitmap data and receiving second bitmap data from a plurality of second sensors of a plurality of second vehicles to create a plurality of second multi-layer bitmaps. The method further comprises creating first probability density bitmaps and an overall probability density bitmap with a probability density estimation, and matching an image template from each of the first probability density bitmaps with the overall probability density bitmap to define match results. The method further comprises combining the match results to define combined utility values and determining the maximal utility value with the combined utility values.

Abstract: A device configured to identify a first link between a value of a first data element in a first plurality of data elements and values of a first set of data elements in a second plurality of data elements and to remove the first link between the first data element and the first set of data elements. The device is further configured to input the data elements into a machine learning model that is configured to output a second link between the first data element and a second set of data elements. The device is further configured to create an entry in a relationship table that identifies the first data element and the second set of data elements. The device is further configured to generate a data stream with the first data element and the second set of data elements and to output the data stream.

Abstract: A vehicle includes a traffic light indication system (system) with one or more input devices for generating a status input signal associated with a status of a traffic light. The input devices further generate an overriding input signal associated with a hazardous driving condition. The system further includes a notification device for providing a traffic light notification to the user. The system further includes a computer having a processor and a non-transitory computer readable storage medium (CRM) storing instructions. The processor is programmed to generate an actuation signal based on the status input signal. The processor is further programmed to refrain from generating the actuation signal, in response to the processor determining the predicted collision based on the status input signal and the overriding input signal. The notification device provides the traffic light notification to the user, in response to the notification device receiving the actuation signal.

Abstract: Systems, computer program products, and methods are described herein for evaluating, validating, correcting, and loading data feeds based on artificial intelligence input. The present invention may be configured to receive a data feed from a source for loading to a target data structure, analyze, based on historical feed data, metadata of the data feed to determine a likelihood of the data feed failing to load, and determine whether the likelihood of the data feed failing to load satisfies a threshold. The present invention may be configured to load the data feed to the target data structure, determine, after loading the data feed to the target data structure, whether the data feed failed to load, and either correct errors in the data feed or add error-containing portions of the data feed to a failed data log.

Abstract: A method for accelerating machine learning on a computing device is described. The method includes accessing a neural network. The method also includes splitting the neural network into N sub-neural networks. The method further includes hosting the N sub-neural networks in M inference accelerators. The method also includes scheduling the N sub-neural networks in the M inference accelerators. The method further includes executing the N sub-neural networks in the M inference accelerators.

Abstract: A global positioning system (GPS)-bias detection and reduction system including a GPS-bias model having GPS statistical data creating a database representing data collected from a vehicle group having thousands or multiple thousands of vehicles saved in a database. At least one newly collected vehicle GPS data point is compared to the GPS statistical data to reduce negative effects of GPS-bias and to update the vehicle GPS-bias correction based on a previous GPS-bias model. A selected road node and a segment of a roadway have a map matching performed using a nearest service from a collection location of the GPS statistical data. A GPS-bias is calculated using a look-up of the database. An estimated horizontal position error (EHPE) defining a quality indicator is applied to distinguish a good quality GPS statistical data from a poor quality GPS statistical data.

Abstract: Disclosed are methods of making delmopinol and delmopinol salts (e.g., delmopinol metal salts, such as, for example, delmopinol calcium salts, delmopinol sodium salts, delmopinol potassium salts, and/or delmopinol magnesium salts).

Abstract: A method of creating a high-definition (HD) map of a roadway includes receiving a multi-layer probability density bitmap. The multi-layer probability density bitmap represents a plurality of lane lines of the roadway sensed by a plurality of sensors of a plurality of vehicles. The multi-layer probability density bitmap includes a plurality of points. The method further includes recursively conducting a hill climbing search using the multi-layer probability density bitmap to create a plurality of lines. In addition, the method includes creating the HD map of the roadway using the plurality of lines determined by the hill climbing search.

Abstract: Apparatuses, systems, and methods for reducing wireless device service interruptions. An indication of a disaster condition may be provided to a wireless device. The disaster condition may affect a home public land mobile network of the wireless device. The wireless device may perform cell selection in a manner influenced by the indication of the disaster condition. This may include considering cells associated with a forbidden public land mobile network for the cell selection, or excluding cells associated with the home public land mobile network of the wireless device that are unavailable, for example due to the disaster condition, among various possibilities.

Abstract: This disclosure describes example embodiments and techniques to resolve UE behavior for several SAR use cases. The substate selection for a UE which has a valid SAR list and is currently camped on a cell which is in the registered PLMN or a PLMN from the list of equivalent PLMNs and whose TAI is not in the list of “allowed tracking areas” or is camped on a cell whose TAI is in the list of “non-allowed tracking areas,” has gaps in functionality and certain use cases. There are conflicting requirements as to what is the substate to be chosen by the UE. Additionally, there are certain behaviors missing for a UE in substate 5GMM-REGISTERED.NON-ALLOWED-SERVICE.

Abstract: Some embodiments support embedding of a notebooks software component in a surrounding host application, thereby promoting consistency of notebook user interfaces and user experiences between different kinds of applications. For instance, the notebook access added to an integrated development environment (IDE) may be aesthetically consistent with the notebook access added to a business analytics tool from the same vendor as the IDE. Departures from the aesthetic are still supported, e.g., a notebook access provided in a video gaming environment to teach gamers programming skills may have the same aesthetic as the simulated world of the video game, rather than an IDE aesthetic or an enterprise software aesthetic. Direct integration or proxied integration architectures may be used. Efficiencies may be gained by distinguishing between notebook viewing, editing, and executing operations, and providing more computationally expensive resources only as needed for the notebook access being performed.

Abstract: Devices, systems, and methods for maintenance prediction for devices of a fire system are described herein. In some examples, one or more embodiments include a computing device comprising a memory and a processor to execute instructions stored in the memory to receive fire system device data of a fire device in a fire system and generate a fire device analysis based on the fire system device data, where the fire device analysis includes a predicted behavior of the fire device and a predicted timeline for the predicted behavior of the fire device.

Abstract: A method includes receiving sensor data from a plurality of sensors of a plurality of vehicles. The sensor data includes vehicle GPS data and sensed lane line data of the roadway. The method further includes creating a plurality of multi-layer bitmaps for each of the plurality of vehicles using the sensor data, fusing the plurality of the multi-layer bitmaps of each of the plurality of vehicles to create a fused multi-layer bitmap, creating a plurality of multi-layer probability density bitmaps using the fused multi-layer bitmap, extracting lane line data from the plurality of multi-layer probability density bitmaps, and creating the high-definition (HD) map of the roadway using the multi-layer probability density bitmaps and the lane line data extracted from the plurality of multi-layer probability density bitmaps.

Abstract: Systems and method are provided for notifying an operator of a vehicle of reverse operation of a vehicle. In one embodiment, a method includes: receiving, by a processor, at least one of sensor data and vehicle message data, wherein the sensor data is generated by a sensor of an infrastructure system, and wherein the vehicle message data is generated by a remote vehicle; determining, by the processor, a reverse operation of the remote vehicle based on the at least one of the sensor data and the vehicle message data; and generating, by the processor, notification data based on the reverse operation of the remote vehicle.

Abstract: The present invention pertains to the field of industrial scale inactivation of various enteroviruses and large and industrial scale production of enterovirus vaccine compositions and combinations of various enteroviruses so obtained.

Abstract: A vehicle includes a traffic light indication system (system) with one or more input devices for generating a status input signal associated with a status of a traffic light. The input devices further generate an overriding input signal associated with a hazardous driving condition. The system further includes a notification device for providing a traffic light notification to the user. The system further includes a computer having a processor and a non-transitory computer readable storage medium (CRM) storing instructions. The processor is programmed to generate an actuation signal based on the status input signal. The processor is further programmed to refrain from generating the actuation signal, in response to the processor determining the predicted collision based on the status input signal and the overriding input signal. The notification device provides the traffic light notification to the user, in response to the notification device receiving the actuation signal.

Abstract: A method and system for controlling driver communication includes monitoring, via a plurality of on-vehicle subsystems, a vehicle state, an external environment state, and an in-cabin state via the plurality of on-vehicle subsystems; determining a driver workload score based upon the external environment state, the in-cabin state, and the vehicle state; receiving an incoming message; ranking the incoming message; determining a notification action for the incoming message based upon the driver workload score and the rank of the incoming message; and executing the notification action for the incoming message.

Abstract: A method and system for controlling driver communication includes monitoring, via a plurality of on-vehicle subsystems, a vehicle state, an external environment state, and an in-cabin state via the plurality of on-vehicle subsystems; determining a driver workload score based upon the external environment state, the in-cabin state, and the vehicle state; receiving an incoming message; ranking the incoming message; determining a notification action for the incoming message based upon the driver workload score and the rank of the incoming message; and executing the notification action for the incoming message.

Abstract: A method for managing a Closed Access Group (CAG) feature using an Access and Mobility Management Function (AMF) server. The method includes receiving a registration request message from a User Equipment (UE) for registering for a CAG subscription. The method includes determining that the UE is subscribed to access the network through a CAG cell only. The method includes determining whether the registration request message includes a CAG support indicator. The method includes determining whether the UE supports the CAG feature based on the CAG support indicator. The method includes sending either a registration accept message including a CAG information list to the UE when the UE supports the CAG feature, or a registration reject message including a 5GMM cause value other than a 5GMM cause #76 to the UE when the UE does not support the CAG feature.