Abstract: An encoding apparatus connected to a learning circuit processing learning of a deep neural network and configured to perform encoding for reconfiguring connection or disconnection of a plurality of edges in a layer of the deep neural network using an edge sequence generated based on a random number sequence and dropout information indicating a ratio between connected edges and disconnected edges of a plurality of edges included in a layer of the deep neural network.

Abstract: An encoding apparatus connected to a learning circuit processing learning of a deep neural network and configured to perform encoding for reconfiguring connection or disconnection of a plurality of edges in a layer of the deep neural network using an edge sequence generated based on a random number sequence and dropout information indicating a ratio between connected edges and disconnected edges of a plurality of edges included in a layer of the deep neural network.

Abstract: The disclosure relates to an artificial intelligence (AI) system that simulates functions such as cognition and judgment of the human brain by utilizing machine learning algorithms such as deep learning and its applications.

Abstract: An electronic device and a control method therefor are disclosed. A method for controlling an electronic device according to the present invention comprises the steps of: receiving a current frame; determining a region, within the current frame, where there is a movement, on the basis of a prior frame and the current frame; inputting the current frame into an artificial intelligence learning model on the basis of the region where there is the movement, to obtain information relating to at least one object included in the current frame; and determining the object included in the region where there is the movement, by using the obtained information relating to the at least one object. Therefore, electronic device can rapidly determine an object included in a frame configuring a captured image.

Abstract: A device management method and apparatus is provided for managing electronic devices through wireless communication. A device management method of a first device having a list of wireless communication-enabled devices according to the present disclosure includes transmitting a first message requesting second device information, when it is necessary to check connection status of a second device performing wireless communication with the devices contained in the list, comparing the second device previously stored information and the second device information contained in the second message, when a second message including the second device information is received in response to the first message, and transmitting a recovery command message with the first device information, when the second device information included in the second message differs from the previously stored second device information.

Abstract: An electronic device and a control method therefor are disclosed. A method for controlling an electronic device according to the present invention comprises the steps of: receiving a current frame; determining a region, within the current frame, where there is a movement, on the basis of a prior frame and the current frame; inputting the current frame into an artificial intelligence learning model on the basis of the region where there is the movement, to obtain information relating to at least one object included in the current frame; and determining the object included in the region where there is the movement, by using the obtained information relating to the at least one object. Therefore, electronic device can rapidly determine an object included in a frame configuring a captured image.

Abstract: The present disclosure relates to an artificial intelligence (AI) system that utilizes a machine learning algorithm, and applications therefore. Disclosed is an electronic device. The electronic device comprises: a storage unit which stores therein an artificial intelligence model trained to determine parameters for a plurality of filters used for image processing on the basis of a deep neural network (DNN); and a processor for determining, through the artificial intelligence mode, parameters for each of the plurality of filters used for image processing for an input image, and performing, through the plurality of filters, filtering of the input image on the basis of the determined parameters so as to perform image processing for the input image.

Abstract: The present disclosure relates to a sensor network, Machine Type Communication (MTC), Machine-to-Machine (M2M) communication, and technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the above technologies, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. A method of managing an electronic device is provided, which includes determining a management target device, selecting at least one measurement device based on the determined management target device, transmitting an operation command to the management target device, receiving measurement information from the at least one measurement device, and determining a state of the management target device based on the received measurement information.

Abstract: An encoding apparatus connected to a learning circuit processing learning of a deep neural network and configured to perform encoding for reconfiguring connection or disconnection of a plurality of edges in a layer of the deep neural network using an edge sequence generated based on a random number sequence and dropout information indicating a ratio between connected edges and disconnected edges of a plurality of edges included in a layer of the deep neural network.

Abstract: The present disclosure relates to a sensor network, Machine Type Communication (MTC), Machine-to-Machine (M2M) communication, and technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the above technologies, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. A method of managing an electronic device is provided, which includes determining a management target device, selecting at least one measurement device based on the determined management target device, transmitting an operation command to the management target device, receiving measurement information from the at least one measurement device, and determining a state of the management target device based on the received measurement information.

Abstract: The present disclosure relates to a sensor network, Machine Type Communication (MTC), Machine-to-Machine (M2M) communication, and technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the above technologies, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. A method of managing an electronic device is provided, which includes determining a management target device, selecting at least one measurement device based on the determined management target device, transmitting an operation command to the management target device, receiving measurement information from the at least one measurement device, and determining a state of the management target device based on the received measurement information.

Abstract: A method according to an embodiment of the present invention relates to a method for automatically mapping a smart plug and an electronic device connected thereto in a home gateway. The method may comprise the steps of: deleting pre-stored mapping information when a signal received from the smart plug satisfies a condition requiring remapping to the electronic device; configuring a mapping candidate group on the basis of data included in the signal received from the smart plug and information stored for the electronic device when a status change notification signal is received from a predetermined electronic device within a preconfigured time; and when it can be determined that one particular electronic device from among the configured candidate group has been mapped to the smart plug, automatically mapping the corresponding electronic device and the smart plug in a state that the corresponding electronic device is connected to the smart plug.

Abstract: The present disclosure relates generally to a sensor network, Machine Type Communication (MTC), Machine-to-Machine (M2M) communication, and technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the above technologies, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. A communication apparatus performs a method for determining a user's presence in a specific space. In the method, the apparatus receives a first signal from a first sensor and identifies a user access direction, based on the received first signal. Then, the apparatus selects a second sensor, based on the identified user access direction, receives a second signal from the selected second sensor, and determines whether a user enters in the specific space, based on the received second signal.

Abstract: The present disclosure relates to a sensor network, Machine Type Communication (MTC), Machine-to-Machine (M2M) communication, and technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the above technologies, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. A method of managing an electronic device is provided, which includes determining a management target device, selecting at least one measurement device based on the determined management target device, transmitting an operation command to the management target device, receiving measurement information from the at least one measurement device, and determining a state of the management target device based on the received measurement information.

Abstract: A device management method and apparatus is provided for managing electronic devices through wireless communication. A device management method of a first device having a list of wireless communication-enabled devices according to the present disclosure includes transmitting a first message requesting second device information, when it is necessary to check connection status of a second device performing wireless communication with the devices contained in the list, comparing the second device previously stored information and the second device information contained in the second message, when a second message including the second device information is received in response to the first message, and transmitting a recovery command message with the first device information, when the second device information included in the second message differs from the previously stored second device information.

Abstract: The present disclosure relates generally to a sensor network, Machine Type Communication (MTC), Machine-to-Machine (M2M) communication, and technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the above technologies, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. A communication apparatus performs a method for determining a user's presence in a specific space. In the method, the apparatus receives a first signal from a first sensor and identifies a user access direction, based on the received first signal. Then, the apparatus selects a second sensor, based on the identified user access direction, receives a second signal from the selected second sensor, and determines whether a user enters in the specific space, based on the received second signal.

Abstract: A method according to an embodiment of the present invention relates to a method for automatically mapping a smart plug and an electronic device connected thereto in a home gateway. The method may comprise the steps of: deleting pre-stored mapping information when a signal received from the smart plug satisfies a condition requiring remapping to the electronic device; configuring a mapping candidate group on the basis of data included in the signal received from the smart plug and information stored for the electronic device when a status change notification signal is received from a predetermined electronic device within a preconfigured time; and when it can be determined that one particular electronic device from among the configured candidate group has been mapped to the smart plug, automatically mapping the corresponding electronic device and the smart plug in a state that the corresponding electronic device is connected to the smart plug.

Abstract: A server, a method of providing a template by the server, a gateway, and a method of displaying a template by the gateway are provided. The server includes a transceiver for communicating with a gateway existing in a room, and a processor for transmitting at least one template including location information and identification (ID) information of a device to the gateway to control at least one device paired with the gateway.