Abstract: According to an embodiment, a wick structure of a heat pipe that is capable of bending while increasing a heat transferring operation limit value is provided by improving the wick structure provided inside the heat pipe.

Abstract: A method of identifying dementia is disclosed that includes causing a user terminal to display an N-th screen including a plurality of objects. The user terminal may further display an N+1-th screen with the objects rearranged at positions on the N+1-th screen which are different from positions of the objects included in the N-th screen when an N-th selection input of selecting any one from among the objects included in the N-th screen is received. When an N+1-th selection input for selecting any one from among the objects included in the N+1-th screen is received, a third task of determining whether an answer of the N+1-th selection input is correct is performed based on whether the object selected from the N+1-th selection input is the same as at least one object selected from at least one previous selection input including the N-th selection input.

Abstract: A storage controller, including a processor configured to perform a plurality of tasks; and a scheduling module configured to schedule the plurality of tasks through reinforcement learning, and provide a scheduling result to the processor, wherein the scheduling module includes: a resource analysis module configured to analyze a usage history and a usage status of a resource; an access pattern analysis module configured to analyze an access pattern; a queue analysis module configured to analyze information included in a queue; and a performance analysis module configured to analyze a task execution result, wherein the scheduling module is further configured to perform the reinforcement learning using state information and reward information, and wherein the state information and the reward information are determined based on the performing of the plurality of tasks.

Abstract: A storage device including: a nonvolatile memory which includes a first memory block configured to store a first user data; and a controller configured to perform a patrol read on the first user data, wherein the controller is configured to increase a reclaim count for the first user data, when the first user data requires a reclaim, the controller is configured to determine that the first user data is a cold data, when the reclaim count for the first user data is greater than a reclaim threshold value, the controller is configured to perform a first reclaim on the first user data when the first user data is determined to be the cold data, and the nonvolatile memory is configured to store the first user data in a second memory block different from the first memory block in response to the first reclaim.

Abstract: A storage device, including a feature information database configured to store feature information about a memory device; and a machine learning module configured to select a machine learning model from a plurality of machine learning models the corresponding to an operation of the memory device based on the feature information, wherein the memory device is configured to operate according to the selected machine learning model.

Abstract: A storage device is provided. The storage device includes a nonvolatile memory device including a first block and a second block, and a controller including processing circuitry configured to, predict a number of writes to be performed on the nonvolatile memory device using a machine learning model, determine a type of reclaim command based on the predicted number of writes, the reclaim command for reclaiming data of the first block to the second block, and issue the reclaim command.

Abstract: A nonvolatile memory device capable of minimizing monitoring overhead associated with read disturb is provided. The nonvolatile memory device includes a memory cell array which includes a first cell string comprising a plurality of memory cells connected in series, wherein the plurality of memory cells includes a first monitoring cell, a first memory cell, and a second memory cell, and a row decoder which provides a first read voltage to the first memory cell and a first monitoring voltage to the first monitoring cell when reading the first memory cell among the memory cells and provides the first read voltage to the second memory cell and a second monitoring voltage different from the first monitoring voltage to the first monitoring cell when reading the second memory cell.

Abstract: A storage device is provided. The storage device includes a nonvolatile memory device including a first block and a second block, and a controller including processing circuitry configured to, predict a number of writes to be performed on the nonvolatile memory device using a machine learning model, determine a type of reclaim command based on the predicted number of writes, the reclaim command for reclaiming data of the first block to the second block, and issue the reclaim command.

Abstract: A storage device, including a feature information database configured to store feature information about a memory device; and a machine learning module configured to select a machine learning model from a plurality of machine learning models the corresponding to an operation of the memory device based on the feature information, wherein the memory device is configured to operate according to the selected machine learning model.

Abstract: A nonvolatile memory device capable of minimizing monitoring overhead associated with read disturb is provided. The nonvolatile memory device includes a memory cell array which includes a first cell string comprising a plurality of memory cells connected in series, wherein the plurality of memory cells includes a first monitoring cell, a first memory cell, and a second memory cell, and a row decoder which provides a first read voltage to the first memory cell and a first monitoring voltage to the first monitoring cell when reading the first memory cell among the memory cells and provides the first read voltage to the second memory cell and a second monitoring voltage different from the first monitoring voltage to the first monitoring cell when reading the second memory cell.

Abstract: An operating method of a storage device includes a controller: receiving read data from a non-volatile memory; measuring a plurality of threshold voltage distributions respectively corresponding to a plurality of memory units of the non-volatile memory, based on the received read data; measuring a distribution variation between the plurality of memory units, based on the measured plurality of threshold voltage distributions; dynamically determining operation parameters for the non-volatile memory, based on the measured distribution variation; and transmitting, to the non-volatile memory, an operate command, an address, and at least one operation parameter corresponding to the address.

Abstract: An operating method of a storage device includes a controller: receiving read data from a non-volatile memory; measuring a plurality of threshold voltage distributions respectively corresponding to a plurality of memory units of the non-volatile memory, based on the received read data; measuring a distribution variation between the plurality of memory units, based on the measured plurality of threshold voltage distributions; dynamically determining operation parameters for the non-volatile memory, based on the measured distribution variation; and transmitting, to the non-volatile memory, an operate command, an address, and at least one operation parameter corresponding to the address.

Abstract: A method of operating a memory system includes the operations of outputting dirty cache lines from a data cache to a volatile memory device as instructions are executed, and outputting from the volatile memory device to a non-volatile memory device as many dirty cache lines as the size of a page of the non-volatile memory.