Abstract:
Disclosed herein are a method and device for generating sound effects. Features of an input pattern are detected. A sound that reflects the input pattern is synthesized and played.
Abstract:
An accessory apparatus and an information display method are provided. The accessory apparatus include a housing, a display exposed through a first portion of the housing, a conductive pattern, a wireless communication circuit configured to support a short-range wireless communication protocol, at least one processor, and a memory, wherein the memory stores instructions that allow the at least one processor to control the wireless communication circuit to operate in the first mode, operate in the second mode in which the second type of external electronic device is allowed to read the second data for the second time period following the first time period, detect the existence of the second type of external electronic device at one or more points of time in the first time period, and switch into the second mode when the existence of the second type of external electronic device is detected.
Abstract:
An electronic apparatus and a method of operating the electronic apparatus are provided. The method includes displaying, by the electronic device, a reproduction time determining mode selection screen, through which a reproduction time of at least one selected sound source file is determined; selecting a specific region included in the displayed reproduction time determining mode selection screen; and extracting a highlight section of the at least one selected sound source file in response to the selection of the specific region.
Abstract:
A task execution method includes receiving an execution request for a first task; analyzing the first task and dividing the first task into sub-tasks, the sub-tasks including a first sub-task and a second sub-task; calculating respective deadline times of the sub-tasks; scheduling the sub-tasks for processing by resources, the resources using neural networks; sequentially executing the sub-tasks using the resources and the neural networks; checking whether respective runtimes of the sub-tasks exceed a corresponding deadline time; and executing the second sub-task, subsequent to executing the first sub-task, using a first pruned neural network generated from the neural networks when the checking indicates that the runtime of the first sub-task exceeds the deadline time of the first sub-task.
Abstract:
A task execution method using resources includes receiving an execution request for a first task; analyzing the first task and dividing the first task into a plurality of sub-tasks; identifying a sub-task using a first neural network from among the sub-tasks and dividing the identified sub-task into a plurality of layer tasks corresponding to calculations between layers constituting the first neural network; calculating a deadline time of each of the sub-tasks; scheduling a first sub-task to be scheduled to a first resource group from among the resources; and, when a runtime of the first sub-task exceeds a deadline time of the first sub-task, scheduling a sub-task or a layer task subsequent to the first sub-task to a second resource group.