Abstract:
A mobile robot includes: a sensor unit configured to sense an object present in a traveling direction; a camera configured to, in response to sensing of the obstacle by the sensor unit, photograph the obstacle; a data unit configured to store information regarding a plurality of obstacles; a controller configured to control an operation by recognizing the obstacle based on the information stored in the data unit; a travel unit configured to perform a designated operation according to a control command from the controller; and a speaker configured to output a designated sound according to a control command from the controller, wherein the controller comprises: an obstacle recognizer configured to analyze an image of the obstacle photographed by the camera, compare the image of the obstacle with data stored in the data unit, recognize the obstacle, and determine a type of the obstacle; and a motion controller configured to, in response to a type of the obstacle recognized by the obstacle recognizer, perform a designated operation according to setting stored in the data, and accordingly, it is possible to determine a type of an obstacle by recognizing the obstacle, effectively cope with obstacles by performing different operations according to types of the obstacles, improve cleaning efficiency, enable the mobile robot to recognize an obstacle and determine a type thereof within a short period of time, allow a user to modify an operation responsive to the type of the obstacle, and perform an operation suitable for characteristics of the obstacle, an area to be cleaned, or a surrounding environment.
Abstract:
Embodiments of the present disclosure include method for optimizing an internal memory for calculation of a convolutional layer of a convolutional neural network (CNN), the method including determining a computation cost of calculating the convolutional layer using each combination of a memory management scheme of a plurality of memory management schemes and data partition sizes of input feature map (IFM) data, kernel data, and output feature map (OFM) data to be loaded in the internal memory; identifying one combination of a memory management scheme and data partition sizes having a lowest computation cost for the convolutional layer; and implementing the CNN to use the one combination for calculation of the convolutional layer.
Abstract:
A mobile terminal and controlling method thereof are disclosed, by which a water mode can be automatically entered in a manner of periodically monitoring a capacitance value of a touchscreen. The present invention includes an electrostatic touchscreen and a controller, if at least one of a size of a capacitance value detected through the touchscreen and a variation of a per-region capacitance value detected through the touchscreen meets a first condition, entering a water mode for disabling a touch control function of the touchscreen.
Abstract:
The present invention relates to a method for controlling a remote transmitting station in a wireless communication system, including a step of: a first transmission point transmitting to a second transmission point time resource information related to at least one or more remote transmitting stations among a plurality of remote transmitting stations, wherein the plurality of transmitting stations located at cell edges of the first transmission point and cell identifiers of the at least one or more remote transmitting stations are changed according to a time period instructed by the time resource information.
Abstract:
The present invention relates to a method for controlling a remote transmitting station in a wireless communication system, including a step of: a first transmission point transmitting to a second transmission point time resource information related to at least one or more remote transmitting stations among a plurality of remote transmitting stations, wherein the plurality of transmitting stations located at cell edges of the first transmission point and cell identifiers of the at least one or more remote transmitting stations are changed according to a time period instructed by the time resource information.
Abstract:
A method in which a User Equipment (UE) measures a downlink signal in a wireless communication system is disclosed. The method includes receiving information about a Beam Direction Pattern (BDP) of the downlink signal and measuring the downlink signal based on the information about the BDP. The information about the BDP includes an index of a subframe in which the downlink signal is to be transmitted using a specific BDP and includes an identifier (ID) of the specific BDP. The BDP of the downlink signal is switched according to the subframe index based on the information about the BDP.
Abstract:
A method for transmitting a signal to a user equipment by a base station in a wireless communication system is disclosed. The method includes receiving information about a preferred beamforming vector in a first subframe from the user equipment, selecting a first random beamformer corresponding to the first subframe from a beamforming vector set for the first subframe, using the information about the preferred beamforming vector, transmitting a downlink signal to the user equipment in the first subframe using the first random beamformer, selecting a second random beamformer corresponding to a second subframe, using the first random beamformer, and transmitting a downlink signal to the user equipment in the second subframe using the second random beamformer.