Abstract: Disclosed is an electronic system. The electronic system includes a camera device including a camera and a motor that rotates the camera, a first server device that provides the motor with an angle control signal for obtaining first image data corresponding to a first scene including a target object by the camera, and a second server device. The camera device is configured to rotate the camera based on the angle control signal, to obtain the first image data by the rotated camera, and to provide the first server device with the first image data and angle information indicating a rotation state of the camera. The second server device is configured to determine estimated candidate coordinates of coordinates, at which the target object is located, in three-dimensional (3D) space based on 3D map information and the angle information received from the first server device.

Abstract: Provided are a method and apparatus for determining a position of a moving object. A method of determining a position of an object includes receiving an image frame from a camera, determining object recognition information of an object included in the image frame by performing object recognition based on deep learning, tracking the object by performing view control of the camera based on the object recognition information, and determining object global positioning system (GPS) position information of the object based on view state information indicating a degree to which the camera is adjusted by the view control.

Abstract: A reconnaissance UAV and a surveillance flight method of the reconnaissance UAV which can reduce a number of required reconnaissance UAVs are provided. The surveillance flight method for detecting an unauthorized UAV includes: defining multiple flight passages in a UAV no-fly zone for a plurality of reconnaissance UAVs; controlling each of the plurality of reconnaissance UAVs to fly across adjacent flight passages at an interval by crossing a border of the adjacent flight passages; and controlling at least one of an image sensor and a noise sensor mounted on the reconnaissance UAV to dynamically change a direction detection thereof.

Abstract: An electronic device for performing behavior recognition and an operation method thereof are provided. The method of operating the electronic device includes generating sampling frames for each video clip by performing sampling on a plurality of video clips at a first sampling interval, generating a cumulative feature map for each video clip based on the generated sampling frames for each video clip, and using the cumulative feature map for each video clip as an input, learning a behavior recognition model for determining a behavior of an object included in a target video clip, wherein the plurality of video clips may include the object performing a same behavior, and wherein behavior time, which represents time consumed from a start to an end of the same behavior performed by the object, may be different for each video clip.

Abstract: The present application relates to a scheduling device and method of a mobile communication system. In the packet scheduling method, a base station performs packet scheduling for a terminal station in a mobile communication system, and a transport channel comprising an uplink shared channel (UL-SCH) and a physical channel comprising an uplink grant channel (UL-GCH) between the terminal and the base station are classified into a plurality of channels. In addition, in the packet scheduling method: a) the base station receives scheduling information from the terminal; b) the base station allocates an uplink resource for uplink traffic transmission for terminal based on the received scheduling information; and c) information for the allocated uplink resource is transmitted to the terminal through the UL-GCH of the physical channel.

Abstract: An exemplary embodiment provides an intruder detection method capable of accurately detecting an intruder and estimating an abnormal behavior of the intruder even when viewpoints of acquired images are different from each other. An intruder detection method is suitable for being performed by an intruder detection device for detecting an intruder based on images and includes: receiving input images acquired by multiple cameras; extracting feature maps associated with a plurality of viewpoints by applying the input images to a plurality of convolutional neural networks provided separately for the plurality of viewpoints of the images; and detecting the intruder based on the feature maps associated with the plurality of viewpoints.

Abstract: Provided is a method and apparatus for detecting an unmanned aerial vehicle (UAV). The method of detecting a UAV includes receiving images from one or more cameras positioned in a UAV protected area; analyzing the received image to extract a UAV from the received image; and providing data related to the extracted UAV to train a UAV detection model, wherein photographing times or photographing positions of the one or more cameras are variably controlled.

Abstract: The present application relates to a scheduling device and method of a mobile communication system. In the packet scheduling method, a base station performs packet scheduling for a terminal station in a mobile communication system, and a transport channel comprising an uplink shared channel (UL-SCH) and a physical channel comprising an uplink grant channel (UL-GCH) between the terminal and the base station are classified into a plurality of channels. In addition, in the packet scheduling method: a) the base station receives scheduling information from the terminal; b) the base station allocates an uplink resource for uplink traffic transmission for terminal based on the received scheduling information; and c) information for the allocated uplink resource is transmitted to the terminal through the UL-GCH of the physical channel.

Abstract: In order to detect an unmanned aerial vehicle (UAV) in a monitoring area using a rotatable camera, an integrated sensor configures a first detection area in the monitoring area by rotating the camera after fixing the focal length of the camera to an initial value, and configures a second detection area in the monitoring area by rotating the camera after changing at least one of the focal length of the camera and a rotation path representing a distance from the origin of the monitoring area.

Abstract: An intruder location-based dynamic virtual fence configuration and a multiple image sensor device operation method are provided. A method of detecting an intruder based on a virtual fence includes detecting an intruder invading a virtual fence set in a protection area by using a first image sensor device, and tracking the intruder through cooperation with second image sensor devices adjacent to the first image sensor device, based on information of the intruder.

Abstract: Provided is an apparatus for recognizing an object that includes an object inference module configured to process an original image captured by a camera module and generate an image of a size to be input to a machine learning inference model, wherein the object inference module includes the machine learning inference model, and outputs a result of recognition and classification of an object inferred through the machine learning inference model, and the machine learning inference model processes an input image to infer an object included in the input image.

Abstract: Provided are a method and system for detecting a UAV using a plurality of image sensors. A method of detecting a UAV includes detecting, by each of a plurality of detection image sensors, a UAV in a UAV detection area, transmitting, when the UAV is detected, position information of the detection image sensor detecting the UAV and distance information of the UAV to a classification image sensor, acquiring, by the classification image sensor, a magnified image of the UAV by setting a parameter of a camera of the classification image sensor according to the position information and the distance information, and classifying a type of the UAV by analyzing the magnified image.

Abstract: A method and device for detecting an illegal unmanned aerial vehicle (UAV) using a radio wave wall are provided. The method includes generating a radio wave wall between a plurality of reconnaissance UAVs that include a first reconnaissance UAV and second reconnaissance UAVs, using one or more wireless signals transmitted and received between the plurality of reconnaissance UAVs, and determining whether an illegal UAV enters the radio wave wall based on radio signal strengths of wireless signals received from the second reconnaissance UAVs.

Abstract: The present application relates to a scheduling device and method of a mobile communication system. In the packet scheduling method, a base station performs packet scheduling for a terminal station in a mobile communication system, and a transport channel comprising an uplink shared channel (UL-SCH) and a physical channel comprising an uplink grant channel (UL-GCH) between the terminal and the base station are classified into a plurality of channels. In addition, in the packet scheduling method: a) the base station receives scheduling information from the terminal; b) the base station allocates an uplink resource for uplink traffic transmission for terminal based on the received scheduling information; and c) information for the allocated uplink resource is transmitted to the terminal through the UL-GCH of the physical channel.

Abstract: The present application relates to a scheduling device and method of a mobile communication system. In the packet scheduling method, a base station performs packet scheduling for a terminal station in a mobile communication system, and a transport channel comprising an uplink shared channel (UL-SCH) and a physical channel comprising an uplink grant channel (UL-GCH) between the terminal and the base station are classified into a plurality of channels. In addition, in the packet scheduling method: a) the base station receives scheduling information from the terminal; b) the base station allocates an uplink resource for uplink traffic transmission for terminal based on the received scheduling information; and c) information for the allocated uplink resource is transmitted to the terminal through the UL-GCH of the physical channel.

Abstract: A reconnaissance UAV and a surveillance flight method of the reconnaissance UAV which can reduce a number of required reconnaissance UAVs are provided. The surveillance flight method for detecting an unauthorized UAV includes: defining multiple flight passages in a UAV no-fly zone for a plurality of reconnaissance UAVs; controlling each of the plurality of reconnaissance UAVs to fly across adjacent flight passages at an interval by crossing a border of the adjacent flight passages; and controlling at least one of an image sensor and a noise sensor mounted on the reconnaissance UAV to dynamically change a direction detection thereof.

Abstract: Disclosed are methods and apparatuses for relaying messages in LPWAN. An operation method of a terminal may comprise transmitting a first join request message to a base station without IQ inversion; when a number of failed transmissions of the first join request message is greater than or equal to a preconfigured threshold, transmitting an IQ-inverted second join request message to a relay; and receiving a join response message from the relay that is a response to the second join request message. Accordingly, the performance of the communication system can be improved.

Abstract: In order to detect an unmanned aerial vehicle (UAV) in a monitoring area using a rotatable camera, an integrated sensor configures a first detection area in the monitoring area by rotating the camera after fixing the focal length of the camera to an initial value, and configures a second detection area in the monitoring area by rotating the camera after changing at least one of the focal length of the camera and a rotation path representing a distance from the origin of the monitoring area.

Abstract: A method of transmitting control information by an end node in a wireless communication system supporting multi-channel transmission includes: transmitting control information to a center node on a first channel among multiple channels within a control period of a wireless frame when the first channel is in an idle state; transmitting the control information to the center node on a second channel when the first channel is not in the idle state and the second channel is in the idle state, the second channel being selected from channels other than the first channel among the multiple channels; and transmitting the control information to the center node in a subsequent wireless frame when the second channel is not in the idle state.

Abstract: Provided is a method and apparatus for detecting an unmanned aerial vehicle (UAV). The method of detecting a UAV includes receiving images from one or more cameras positioned in a UAV protected area; analyzing the received image to extract a UAV from the received image; and providing data related to the extracted UAV to train a UAV detection model, wherein photographing times or photographing positions of the one or more cameras are variably controlled.