Abstract: Disclosed herein are a cooperative driving method based on driving negotiation and an apparatus for the same. The cooperative driving method is performed by a cooperative driving apparatus for cooperative driving based on driving negotiation, and includes determining whether cooperative driving is possible in consideration of a driving mission of a requesting vehicle that requests cooperative driving with neighboring vehicles, when it is determined that cooperative driving is possible, setting a responding vehicle from which cooperative driving is to be requested among the neighboring vehicles, performing driving negotiation between the requesting vehicle and the responding vehicle based on a driving negotiation protocol, and when the driving negotiation is completed, performing cooperative driving by providing driving guidance information for vehicle control to at least one of the requesting vehicle and the responding vehicle.

Abstract: The present invention relates to a method and apparatus for handling personal data in a machine-to-machine (M2M) system, and an operation method of an M2M device includes obtaining information related to consent of a user for personal data provided from an Internet of things (IoT) device and creating a consent-related resource based on the information. The resource includes at least one attribute related to the consent.

Abstract: A semiconductor device includes a substrate having a first region and a second region, first active fins that extend in a first direction in the first region, second active fins that extend in the first direction in the second region, a first field insulating layer between the first active fins and that extend in a second direction, a second field insulating layer between the second active fins and extending in the second direction, a gate line that extends in the second direction on the second field insulating layer, the gate line linearly along with the first field insulating layer, a gate isolation layer between the first field insulating layer and the gate line, and gate spacers that extend in the second direction, the gate spacers in contact with both sidewalls of each of the first field insulating layer, the gate line, and the gate isolation layer.

Abstract: A semiconductor device includes a first active pattern on a substrate; a first gate electrode crossing the first active pattern; source/drain patterns in an upper portion of the first active pattern and at opposite sides, respectively, of the first gate electrode; a first gate capping pattern on the first gate electrode; an interlayer insulating layer on the source/drain patterns; first and second active contacts penetrating the interlayer insulating layer and being respectively connected to the pair of source/drain patterns; and a first interconnection layer on the first and second active contacts. The first interconnection layer may include a first insulating structure covering a top surface of the second active contact; and a first interconnection line covering a top surface of the first active contact and extending on the first insulating structure, and covering a top surface of the first gate capping pattern between the first and second active contacts.

Abstract: The system for infrastructure dynamic object recognition information convergence processing in an autonomous vehicle according to an embodiment of the present invention includes a recognition unit configured to receive object information collected by a sensor of the autonomous vehicle to recognize an environment, a V2X reception message processing unit configured to receive object information collected by an InfraEdge system, and a determination and control unit configured to use the object information collected by the sensor and the object information collected by the InfraEdge system and perform a determination for autonomous driving in consideration of a convergence delay time which is a time difference between a time recorded according to message reception of the V2X reception message processing unit and a current time.

Abstract: Disclosed herein is a method of controlling an autonomous vehicle driving in a lane of a main line. The method may include determining whether the autonomous vehicle is driving in a target lane to accommodate merging traffic, determining whether a merge request message is received from a merging vehicle when the autonomous vehicle is determined to drive in the target lane, determining whether a collision with the merging vehicle will occur based on the merge request message when the merge request message is received, and sending a merge approval message to the merging vehicle when the collision with the merging vehicle is expected.

Abstract: Disclosed herein are a method and apparatus for managing log information in a machine-to-machine (M2M) system, and a method for operating an M2M device in an M2M system may include receiving a first message for requesting to create a log management rule, creating storage for storing the log management rule and log information to be generated according to the log management rule, and setting a reference relationship between the log management rule and the storage.

Abstract: A subscription service including a number of subscriptions possessed by a device is managed in a machine-to-machine (M2M) system. A method for operating a first device may include: transmitting, to a second device, a first message for requesting a new subscription that uses a first resource for managing subscription; receiving, from the second device, a second message for notifying an update of a second resource associated with the new subscription; and identifying a content of the second resource, wherein the first resource may include at least one of a first attribute indicating a number of subscriptions possessed by the first device, a second attribute indicating, among resources to which the first device is subscribing, a number of resources which are updated but not yet retrieved, or a third attribute indicating an access address of a subscribed resource.

Abstract: Disclosed herein are an apparatus and method for providing a seamless network service based on multiple heterogeneous networks. The method for providing a seamless network service based on multiple heterogeneous networks includes providing, by a multi-network management apparatus, a service transmitted from a server to a terminal over a primary network, synchronizing, by the multi-network management apparatus, service data transmitted over the primary network with a secondary network maintained in a standby state, changing, by the multi-network management apparatus, the secondary network to the primary network as a communication failure between the primary network and the terminal occurs, and providing, by the multi-network management apparatus, the service transmitted from the server to the terminal over the changed primary network.

Abstract: Disclosed herein are a method and apparatus for processing a driving cooperation message. The method for processing a driving cooperation message includes receiving multiple first driving cooperation messages from neighboring autonomous vehicles, adjusting cooperation classes of the multiple first driving cooperation messages, creating driving strategies corresponding to the adjusted cooperation classes in descending order of priorities of the adjusted cooperation classes, generating second driving cooperation messages including the adjusted cooperation classes and the driving strategies corresponding to the adjusted cooperation classes, and sending the second driving cooperation messages to the neighboring autonomous vehicles requiring cooperative driving.

Abstract: A liveness check in a machine-to-machine (M2M) system is provided. A method for operating an M2M device includes generating a resource including information on a liveness check for a local device and confirming whether a probe signal for the liveness check is received from the local device. The liveness status of the local device is determined based on whether the probe signal is received.

Abstract: A method for performing resource offloading in an M2M system is provided. The method is performed based on an offloaded resource and offloaded attributes. The method includes generating an offloading request message that requests offloading of a source resource. In response to the offloading request message, offloading the source resource for which the offloading is requested. An offloaded resource is then generated using the offloaded source resource. Herein, the offloaded resource includes synchronization modes designating synchronization methods with the offloaded source resource as offloaded attributes.

Abstract: The present disclosure relates to a liveness identify in a machine-to-machine (M2M) system, and a method for operating an M2M device may include identifying a protection regulation applied to data, identifying a protection mechanism applied to the data, and transmitting a resource creation request message including information indicating the protection regulation and the protection mechanism to a second M2M device, and the data may include personal information or privacy information that is generated by an application executed in the M2M device.

Abstract: Disclosed herein are an apparatus and method for providing a customized traffic guidance service. The method may include acquiring data about one or more nearby objects, detecting surrounding traffic conditions based on the data about the nearby objects, determining whether to provide a customized traffic guidance service, selecting one or more target objects to which the customized traffic guidance service is to be provided and guidance information to be provided to each of the target objects, generating a customized traffic guidance message for the selected guidance information, and transmitting the customized traffic guidance message to the corresponding target object.

Abstract: Disclosed is a system performing a method for detecting intersection traffic light information including a traffic light detection module including an image sensor for generating first signal data based on traffic light image data in which a traffic light is included, a communication module that receives second signal data for communication with a surrounding object and an external device, an object information collection module that collects dynamic data of the surrounding object, and a signal information inference module that infers third signal data based on the dynamic data. The dynamic data of the surrounding object includes at least one information of whether the surrounding object moves, a moving direction of the surrounding object, and whether the surrounding object accelerates or decelerates. Each of the signal data includes pieces of information about a type of the traffic light and a signal direction of the traffic light.

Abstract: The present disclosure may protect data in a machine-to-machine (M2M) system. A method for operating a first device in the M2M system may include: receiving, from a second device, data including an original value generated by the second device; obtaining at least one representation value corresponding to the original value; and storing the original value and the at least one representation value in a resource for storing the data generated by the second device.

Abstract: The present disclosure relates to hiding data trends in a machine-to-machine (M2M) system. A method for operating a first device in a machine-to-machine (M2M) system may include: performing a registration procedure for a second device; receiving real data generated by the second device; obtaining fake data of an identical type as the real data; and storing the real data and the fake data in a same resource.

Abstract: An operation method is provided for deleting a resource in an M2M system. The operation method includes receiving a first deletion request message requesting deletion of a resource from a counterpart M2M apparatus and transmitting a first deletion response message for the first deletion request message to the counterpart M2M apparatus. A second deletion request message is received that requests deletion of the resource from the counterpart M2M apparatus and the resource is deleted.

Abstract: The present disclosure may support automated re-learning in a machine-to-machine (M2M) system. A method for operating a device may include: generating a resource for training an artificial intelligence (AI) model; controlling to perform initial learning of the AI model; collecting learning data for re-learning for the AI model; and controlling to perform re-learning of the AI model by using the learning data.

Abstract: An apparatus for labeling data in a machine-to-machine (M2M) system, and a method for operating the apparatus may include determining a label for data and generating a resource including information related to the label. The resource may include at least one of information indicating being training data, information indicating a type of an annotation, information indicating a format of labeling, information describing an annotation, information on an applied ontology, and information referencing the data.