Abstract: The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. Embodiments herein provide a method for HPLMN-based traffic control in a wireless communication network when a UE 300 is registered on different PLMNs.

Abstract: The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. Embodiments herein provide a method for HPLMN-based traffic control in a wireless communication network when a UE 300 is registered on different PLMNs.

Abstract: The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. The method includes configuring, by a User Equipment (UE) (100), a Protocol Data Unit (PDU) session type as an always-ON type or a normal PDU type. Further, the method includes sending, by the UE (100), a PDU session establishment request message including the PDU session type to be the always-ON type or the normal PDU type to a network (200) during an initial PDU session establishment procedure.

Abstract: The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. The method includes configuring, by a User Equipment (UE) (100), a Protocol Data Unit (PDU) session type as an always-ON type or a normal PDU type. Further, the method includes sending, by the UE (100), a PDU session establishment request message including the PDU session type to be the always-ON type or the normal PDU type to a network (200) during an initial PDU session establishment procedure.

Abstract: The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. Embodiments herein provide a method for HPLMN-based traffic control in a wireless communication network when a UE 300 is registered on different PLMNs.

Abstract: A method of controlling a vehicle includes providing a vehicle having a brake system configured to operate according to a nominal mode in which applied braking pressure is based on a driver braking request, a first active braking mode in which applied braking pressure is based on maximum ABS braking pressure and decreased in response to a driver brake pedal release, and a second active braking mode in which applied braking pressure is based on maximum braking pressure. In response to a detected collision, the system is controlled according to the first active braking mode. In response to the first active braking mode being active and no driver braking request being anticipated, the system is controlled according to the second active braking mode. In response to the first or second active braking modes being active and a termination criterion being satisfied, the system is controlled according to the nominal mode.

Abstract: This document describes techniques for identifying suggestive intent in social posts. In one or more implementations, a topic is received and social posts to one or more social networks that are related to the topic are collected. Then, one or more suggestive intent posts expressing suggestions towards the topic are identified from the collected social posts. In one or more implementations, a set of related topics are received and social posts to one or more social networks that correspond to the related topics are collected. Then, aspects corresponding to the related topics are identified, and a sentiment score is generated for each aspect of each related topic that can be used to compare aspects of the related topics. In one or more implementations a suggestive intent model, usable to identify social posts expressing suggestive intent, is built from a training corpus of annotated social posts.

Abstract: A method of controlling a vehicle includes providing a vehicle having a brake system configured to operate according to a nominal mode in which applied braking pressure is based on a driver braking request, a first active braking mode in which applied braking pressure is based on maximum ABS braking pressure and decreased in response to a driver brake pedal release, and a second active braking mode in which applied braking pressure is based on maximum braking pressure. In response to a detected collision, the system is controlled according to the first active braking mode. In response to the first active braking mode being active and no driver braking request being anticipated, the system is controlled according to the second active braking mode. In response to the first or second active braking modes being active and a termination criterion being satisfied, the system is controlled according to the nominal mode.

Abstract: A method for controlling a vehicle braking system includes commanding vehicle brakes to provide braking torque based on a driver braking request in response to a detected collision and an anticipated application of a driver-actuated brake pedal after the collision. The method additionally includes activating the vehicle brakes in the absence of application of the brake pedal in response to a subsequent application and release of the brake pedal while a motion sensor reading exceeds a predefined threshold.

Abstract: This document describes techniques for identifying suggestive intent in social posts. In one or more implementations, a topic is received and social posts to one or more social networks that are related to the topic are collected. Then, one or more suggestive intent posts expressing suggestions towards the topic are identified from the collected social posts. In one or more implementations, a set of related topics are received and social posts to one or more social networks that correspond to the related topics are collected. Then, aspects corresponding to the related topics are identified, and a sentiment score is generated for each aspect of each related topic that can be used to compare aspects of the related topics. In one or more implementations a suggestive intent model, usable to identify social posts expressing suggestive intent, is built from a training corpus of annotated social posts.

Abstract: This document describes techniques for identifying purchase intent in social posts. In one or more implementations, a topic is received and social posts to one or more social networks that are related to the topic are collected. Then, one or more purchase intent posts expressing purchase intent towards the topic are identified from the collected social posts. In one or more implementations a purchase intent model, usable to identify social posts expressing purchase intent, is built from a training corpus of annotated social posts.

Abstract: A method for controlling a vehicle braking system includes commanding vehicle brakes to provide braking torque based on a driver braking request in response to a detected collision and an anticipated application of a driver-actuated brake pedal after the collision. The method additionally includes activating the vehicle brakes in the absence of application of the brake pedal in response to a subsequent application and release of the brake pedal while a motion sensor reading exceeds a predefined threshold.

Abstract: A method of controlling a vehicle braking system, includes: (i) detecting whether a collision has occurred; (ii) detecting whether a predetermined condition follows the collision; (iii) determining whether a driver has applied the brakes; and (iv) when a driver has not applied the brakes, autonomously initiating braking.

Abstract: A method of controlling a vehicle braking system, includes: (i) detecting whether a collision has occurred; (ii) detecting whether a predetermined condition follows the collision; (iii) determining whether a driver has applied the brakes; and (iv) when a driver has not applied the brakes, autonomously initiating braking.

Abstract: A method for vehicle spinout detection is described. The method includes monitoring a set of conditions. If the conditions meet a set of criteria, the method calculates a lateral factor, employing one or more past values of the lateral factor. The lateral factor indicates the vehicle's lateral velocity. Then, a spinout factor is computed based on the calculated lateral factor. The spinout factor indicates the difference between the direction of vehicle travel and the direction the vehicle is heading. If the spinout factor is above a predefined threshold value, the method generates a warning signal. A system for vehicle spinout detection is also described.