Abstract: An air conditioner is disclosed. An air conditioner according to an embodiment of the present disclosure comprises: a casing including a compressor, an inlet, and an outlet; a fan motor, installed inside the casing, for blowing air; a discharge vane provided movably in the outlet; a vane motor for operating the discharge vane; a communication unit for communicating with a moving agent moving in an indoor space; and a processor for receiving feature information related to a structure of the indoor space acquired by the moving agent, acquiring the type of the indoor space by using the feature information, and adjusting at least one of a set temperature, an airflow volume, and a wind direction by controlling at least one of the compressor, the fan motor, and the vane motor.

Abstract: Disclosed herein is a speech synthesizer using artificial intelligence including a memory, a communication processor configured to receive utterance information of words uttered by a user from a terminal, and a processor configured to acquire a plurality of utterance intonation phrase (IP) ratios respectively corresponding to a plurality of words uttered by the user based on the utterance information, compare a plurality of IP ratio tables respectively corresponding to a plurality of voice actors with the plurality of utterance IP ratios, acquire a plurality of non-utterance IP ratios respectively corresponding to a plurality of unuttered words based on a result of comparison, and generate a personalized synthesized speech model based on the plurality of utterance IP ratios and the plurality of non-utterance IP ratios.

Abstract: An artificial intelligence based object identifying apparatus and a method thereof which are capable of easily identifying a type of an object in an image using a small size learning model are disclosed. According to an embodiment of the present disclosure, an object identifying apparatus configured to identify an object from an image includes a receiver configured to receive the image, an image modifier configured to modify the received image by predetermined methods to generate a plurality of modified images, and an object determinator configured to apply the plurality of modified images to a neural network trained to identify an object from the image to obtain a plurality of identification results and determine a type of an object in the received image based on the plurality of identification results.

Abstract: The present invention provides a short transmission time interval (S-TTI)-based vehicle-to-X (V2X) communication method performed by a V2X terminal in a wireless communication system, in which the S-TTI is relatively shorter than a legacy transmission time interval (L-TTI), the method comprising: determining information used for generation of a demodulation reference signal (DMRS) sequence and information used for channel scrambling; and performing the S-TTI-based V2X communication on the basis of the determination, wherein the L-TTI corresponds to a plurality of S-TTIs.

Abstract: A mobile terminal according to the present disclosure can include a main body, a touch screen disposed on a front side of the main body, a first sensor disposed on the front side to sense the approach of an object to the main body in a locked state, a second sensor disposed in proximity to the first sensor to be driven in either one of a sleep mode and an active mode so as to acquire a vein image of an object that has approached the first sensor in the active mode, and a controller configured to perform vein authentication using the vein image acquired through the second sensor, and control the touch screen to display security information allowed to access for a pre-registered user when the vein image corresponds to a vein image of the pre-registered user as a result of the authentication.

Abstract: The present invention relates to a wireless communication system. More particularly, the present invention relates to a method and an apparatus for a terminal controlling uplink power in the wireless communication system, comprising the steps of: configuring an uplink subframe (UL SF) of a first set and a UL SF of a second set; receiving a downlink control information (DCI) format including a bitmap for indicating transmit power control (TPC) for a plurality of terminals; and controlling transmit power of an uplink channel by using TPC information on the terminals from the bitmap, wherein the TPC information is used for controlling transmit power of an uplink channel transmitted from the UL SF of the first set when the DCI format comprises a first identifier, and the TPC information is used for controlling transmit power of an uplink channel transmitted from the UL SF of the second set when the DCI format comprises a second identifier.

Abstract: Disclosed herein is an artificial intelligence apparatus for recognizing at least one object, comprising: a memory configured to store a plurality of recognition models for generating identification information corresponding to the object from image data; and a processor configured to: obtain image data for the object, generate first identification information corresponding to the object from the image data using a default recognition model composed of at least one or more of the plurality of recognition models, measure a confidence level for the first identification information, obtain the first identification information as a recognition result of the object if the confidence level is equal to or greater than a first reference value, and obtain second identification information corresponding to the object from the image data as a recognition result of the object using a compound recognition model composed of at least one or more of the plurality of recognition models if the measured confidence level is less

Abstract: A method and a device for recommending food based on an artificial intelligence based user status are disclosed. The method includes obtaining use information from a mobile terminal and an external terminal connected to the mobile terminal, determining a user status through an AI device, and determining a preferred food of the user based on the user status, thereby providing convenience for the user's life. The device for recommending food based on the artificial intelligence based user status can be associated with an artificial intelligence module, an unmanned aerial vehicle (UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, devices related to 5G services, and the like.

Abstract: A device for processing a broadcast signal, includes a tuner configured to receive the broadcast signal carrying a bootstrap prefixed to the beginning of a signal frame, the bootstrap including one or more bootstrap symbols, a last bootstrap symbol immediately followed by a preamble of the signal frame including bootstrap termination information, the bootstrap including first information for representing a structure of the preamble; a demodulator configured to demodulate the broadcast signal; a de-framer configured to de-frame the signal frame in the broadcast signal to output the preamble and PLP data, the preamble carrying Layer 1 (L1) signaling data for the signal frame; a signaling decoder configured to decode the L1 signaling data; and a decoder to decode the PLP data based on the L1 signaling data.

Abstract: Disclosed is a mobile terminal for providing information based on an image, wherein the mobile terminal executes at least one of an installed artificial intelligence (AI) algorithm and a machine learning algorithm, and is capable of communicating with other electronic devices and external servers in a 5G communication environment. The mobile terminal includes a camera, a display, and a processor. Accordingly, since an image capture target can be accurately recognized, various services for improving user convenience can be provided.

Abstract: The present invention relates to a wireless communication system. Specifically, the present invention relates to a method for transmitting, by a terminal, a HARQ-ACK in a CA wireless communication system and an apparatus therefor, the method comprising: receiving at SF # n?k one or more DG DCIS containing a first DAL receiving a UG DCI which schedules a PUSCH; and transmitting at SF # n a HARQ-ACK payload over the PUSCH, wherein the size of the HARQ-ACK payload is determined on the basis of a value of the first DAI, the value of the first DAI corresponds to the total number of cells on which a first type of DL signal is scheduled at the SF # n?k with respect to the terminal, n is an integer of 0 or more and k is a positive integer.

Abstract: An extended reality (XR) device and a method for controlling the same are disclosed. The XR device is applicable to 5G communication technology, robot technology, autonomous driving technology, and Artificial Intelligence (AI) technology. The XR device includes a transparent display, a sensing unit configured to sense a relative position and gaze direction of a user with respect to the transparent display, and a processor configured to recognize at least one real-world external object that is located in a forward direction of the transparent display and is visible to the user through the transparent display, based on the relative position and gaze direction of the user sensed by the sensing unit.

Abstract: The present disclosure relates to a moving robot, a control method thereof, and a moving robot system. A moving robot according to the present disclosure includes a main body, a traveling unit configured to move the main body, a communication unit configured to communicate with a terminal and a location information transmitter, and a control unit configured to set a travel area using location information based on a signal received from the location information transmitter. The control unit is configured to recognize a location of the terminal. When location information regarding a target point within the boundary, pointed by the terminal at the recognized location, is received, the control unit is configured to store the location information. Also, the control unit is configured to control a traveling unit to move in the travel area while avoiding a predetermined area comprising coordinates matching the stored location information.

Abstract: An embodiment of the present disclosure provides a vehicle management game service providing device installed in a vehicle. The vehicle management game service providing device includes a receiver, a controller, which obtains vehicle information, and determines whether a user's intervention is required with regard to a vehicle-related task on the basis of the obtained vehicle information, a user interface, which receives a user input signal, and provides a screen according to execution of the user game, and an operator, which operates the vehicle according to a vehicle control signal. At least one among an autonomous vehicle, a user terminal, and a server according to embodiments of the present disclosure may be associated or integrated with an artificial intelligence module, a drone (unmanned aerial vehicle (UAV)), a robot, an augmented reality (AR) device, a virtual reality (VR) device, a 5G service related device, and the like.

Abstract: A moving robot has a body and at least one wheel for moving the main body. The moving robot has a transceiver to communicate with a plurality of location information transmitters located within an area. The moving robot also has a memory storing coordinate information regarding positions of the location information transmitters. Further, the moving robot has a controller that sets a virtual boundary based on location information determined using signals transmitted by the location information transmitters. The controller controls the wheel so that the main body is prevented from traveling outside the virtual boundary. The controller sets a reference location information transmitter and corrects the stored coordinate information by correcting height errors based on height differences between the reference location information transmitter and the other location information transmitters. The controller also corrects a current position of the main body based on the corrected stored coordinate information.

Abstract: Provided are a method and a device for transmitting a feedback frame in a wireless LAN system. Particularly, a first wireless station receives, from a second wireless station, a feedback request field including an LTF. The first wireless station configures feedback information on a wireless channel corresponding to a preset frequency band by using the feedback request field. The first wireless station transmits the feedback information to the second wireless station.

Abstract: The present specification presents a method for supporting beamforming for inter-station signal transmission in a wireless local area network (WLAN) system and an apparatus therefor. Specifically, the present specification presents a method for supporting beamforming training for two channels subjected to channel aggregation and an apparatus therefor.

Abstract: A lawn mower robot has a main body, and a driving unit configured to move the main body. The lawn mower robot also has a receiver configured to receive a signal transmitted from at least one transmission device in a travel area. The lawn more robot also has a controller. The controller controls the driving unit based on a result and a prestored area map. The result is based on the signal received by the receiver, and the area map includes an arrangement position of the at least one transmission device. The controller detects a position change of the at least one transmission device based on the result and updates the area map by determining a present position of the at least one transmission device in the area map according to the position change.

Abstract: A sensor is disclosed.

Abstract: A foreign object detecting system includes an apparatus of detecting foreign objects in a laundry machine and a server. The server includes an artificial intelligence model learner configured to generate a foreign object classifying engine trained with the collected noise data through an artificial neural network. the server transmits the trained foreign object classifying engine trained through the artificial intelligence model learner to the foreign object classifying apparatus, the foreign object type classifier classifies the type of foreign objects through the trained foreign object classifying engine transmitted from the server, and the communicator of the apparatus of detecting foreign objects in a laundry machine transmits information about the type of foreign objects to a foreign object appliance.