Sungkyunkwan University

Samsung Electronics Co., Ltd.

Center for Integrated Smart Sensors Foundation

Dong Kun Shin

Geun Hye Jo

Jin Young Yang

Young Hun Kim

Kang Ho Roh

Sang Jin Yoo

Gyeong Hwan Hong

Yun Ji Kang

Dae Jun Park

Dong Young Seo

A method of compressing an address includes receiving an input of a full address including a first part and a second part; checking a segment base address based on the first part in a previously stored reverse map cache (RMC); obtaining a block offset based on the segment base address and the second part; and outputting a compressed address by compressing the first part and the second part, respectively, based on the segment base address and the block offset.

Method and apparatus for compressing addresses

In accordance with an aspect of the present disclosure, there is provided an object recognizing method using a machine learning model performed by an object recognizing apparatus including, obtaining an image for recognizing an object, predicting an object appearance area on the obtained image by using a machine learning model that is trained to learn a feature of an area on which the object appears in advance and recognizing the object on the obtained image by using the predicted object appearance area.

Methods and systems for recognizing object using machine learning model

Provided are a method for limiting an object detection area in a mobile system equipped with an image sensor and an apparatus for performing the method. The method comprises receiving an image obtained with respect to a detection target object from the image sensor and receiving sensor information from a rotation detection sensor only when the mobile system is equipped with the rotation detection sensor&#x2014;the sensor information includes at least one of 3-axis angular velocity and steering information, wherein the steering information includes a steering angle and a speed; determining rotation of the mobile system by using at least one of the sensor information and motion vectors; and if it is determined that the mobile system is rotating, limiting an object detection area by using at least one of the sensor information and the motion vectors.

Method for limiting object detection area in a mobile system equipped with a rotation sensor or a position sensor with an image sensor, and apparatus for performing the same

A storage device and operating method are provided. The storage device includes at least one nonvolatile memory including a single-level cell area and a multi-level cell area and a storage controller configured to dynamically resize the single-level cell area through reinforcement learning.

Storage device and operating method thereof

In accordance with a first exemplary embodiment, there is provided a computing device. The device includes a memory equipped with a program operating a file system supporting ordered mode journaling; and a processor operating the program stored in the memory. Wherein according to execution of the program, when an fsync system call for the file stored in the memory occurs, the processor extracts a block-group-level transaction corresponding to the file from a compound transaction including the file, records the transaction in a data area of the memory, and executes journaling of the transaction in a journal area of the memory.

Method and apparatus of per-block-group journaling for ordered mode journaling file system

The present disclosure includes a non-volatile memory having a boot region, a file allocation table region and a data region; a memory configured to store a program for managing a file recording; and a processor configured to execute the program. Wherein the processor allocates metadata corresponding to a file to be stored in the non-volatile memory to the FAT region as the program is executed, the processor allocates a plurality of clusters to the data region based on information upon a size of the file included in the metadata, the processor writes the file in the plurality of clusters allocated to the data region, if a size of the written file is different from a size of the plurality of allocated clusters, the processor updates the metadata based on the size of the file.

Apparatus and method for file recording based on non-volatile memory

A computing device supporting ordered mode journaling. The computing device includes a memory that stores a program for operating a file system supporting ordered mode journaling; and a processor that operates the program stored in the memory. Wherein during execution of the program, when ordered mode journaling for a transaction including one or more files is implemented, the processor stores the transaction in a data area of the memory, and implements the journaling by storing a common journal including metadata of the transaction in a journal area of the memory.

Apparatus and method for fsync system call processing using ordered mode journaling with file unit

A method for operating a memory controller includes determining a number of free blocks to be created during an idle time by using a block consumption history, and controlling a non-volatile memory device to perform a garbage collection operation during the idle time to create the determined number of free blocks.

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Seoul, South Korea

Dong Kun Shin