Abstract: Provided are a terminal and a method of accessing an access point (AP) by the terminal, in a wireless communication system. The method includes determining whether to maintain access to a currently accessed radio channel, based on load information of a currently accessed AP, determining a radio channel to be accessed, based on the load information of the AP near the terminal and channel interference information, and accessing the determined radio channel.

Abstract: A natural language processing method and apparatus are disclosed. A natural language processing method according to an embodiment of the present disclosure includes extracting a phoneme string from a text corpus labeled with recognition information including at least one of one named entity (NE) or speech intention, generating a phoneme-based training data set by labeling the recognition information in the extracted phoneme string, and generating an artificial neural network-based learning model (LM) using the generated training data set. The natural language processing method of the present disclosure may be associated with an artificial intelligence module, a drone (Unmanned Aerial Vehicle, UAV), a robot, an AR (Augmented Reality) device, a VR (Virtual Reality) device, a device associated with 5G services, etc.

Abstract: A nonvolatile memory device includes user blocks and reserved blocks. A ratio of the number of used reserved blocks among the reserved blocks during a predetermined period to an operation count during the predetermined period is calculated by a memory controller and an end of lifetime warning signal is transmitted to an external device based on the calculated ratio. Bad blocks among the user blocks are replaced by one or more of the reserved blocks. If at least one block among the user blocks becomes a bad block, the memory controller replaces the bad block with any one of the reserved blocks, and the reserved block used indicates a reserved block replaced with at least one of the user blocks. The operation count can be an erase count or a program count of the nonvolatile memory device, or a time count indicating usage time.

Abstract: A memory controller controls a nonvolatile memory device including a plurality of user blocks and a plurality of reserved blocks. A ratio of the number of used reserved blocks among the reserved blocks during a predetermined period to an operation count during the predetermined period is calculated and an end of lifetime warning signal to an external device based on the calculated ratio is transmitted. Bad blocks among the user blocks are replaced by one or more of the reserved blocks If at least one block among the user blocks becomes a bad block, the memory controller replaces the bad block with any one of the reserved blocks, and the reserved block used indicates a reserved block replaced with at least one of the user blocks. The operation count can be, for example, an erase count of the nonvolatile memory device, a program count of the nonvolatile memory device, and/or a time count indicating usage time.

Abstract: The present disclosure relates to a mobile terminal and a voice recognition method thereof. The voice recognition method may include receiving a user's voice; providing the received voice to a first voice recognition engine provided in the server and a second voice recognition engine provided in the mobile terminal; acquiring first voice recognition data as a result of recognizing the received voice by the first voice recognition engine; acquiring second voice recognition data as a result of recognizing the received voice by the second voice recognition engine; estimating a function corresponding to the user's intention based on at least one of the first and the second voice recognition data; calculating a similarity between the first and the second voice recognition data when personal information is required for the estimated function; and selecting either one of the first and the second voice recognition data based on the calculated similarity.

Abstract: The present disclosure relates to a mobile terminal and a voice recognition method thereof. The voice recognition method may include receiving a user's voice; providing the received voice to a first voice recognition engine provided in the server and a second voice recognition engine provided in the mobile terminal; acquiring first voice recognition data as a result of recognizing the received voice by the first voice recognition engine; acquiring second voice recognition data as a result of recognizing the received voice by the second voice recognition engine; estimating a function corresponding to the user's intention based on at least one of the first and the second voice recognition data; calculating a similarity between the first and the second voice recognition data when personal information is required for the estimated function; and selecting either one of the first and the second voice recognition data based on the calculated similarity.