• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.231-234
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• 2014

플래시 메모리는 빠른 처리 속도, 비 휘발성, 저 전력, 강한 내구성 등으로 인해 최근 여러 분야에서 활용도가 증가하고 있다. 또한, 최근 비트 당 가격이 저렴해지면서 NAND 플래시 기반의 SSD (Solid State Disk)가 기존 기계적 메커니즘의 HDD(Hard Disk Drive)를 대체할 새로운 저장 장치로 주목받고 있다. 이 논문에서는 SSD 설계에서 고려해야 할 사항들을 정리하였으며, SSD의 성능향상을 위해 설계 고려사항들에 대한 해결방안을 위한 연구방향을 제시한다.

• Communications of the Korean Institute of Information Scientists and Engineers
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• v.25 no.6 s.217
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• pp.18-28
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• 2007

• Journal of information and communication convergence engineering
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• v.21 no.1
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• pp.24-31
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• 2023

The solid-state drive (SSD) possesses higher input and output speeds, more resistance to physical shock, and lower latency compared with regular hard disks; hence, it is an increasingly popular storage device. However, tiny components on an internal printed circuit board (PCB) hinder the manual detection of malfunctioning components. With the rapid development of artificial intelligence technologies, automatic detection of components through convolutional neural networks (CNN) can provide a sound solution for this area. This study proposes applying the YOLOv5 model to SSD PCB component detection, which is the first step in detecting defective components. It achieves pioneering state-of-the-art results on the SSD PCB dataset. Contrast experiments are conducted with YOLOX, a neck-and-neck model with YOLOv5; evidently, YOLOv5 obtains an mAP@0.5 of 99.0%, essentially outperforming YOLOX. These experiments prove that the YOLOv5 model is effective for tiny object detection and can be used to study the second step of detecting defective components in the future.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06a
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• pp.288-289
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• 2012

이 논문에서는 Solid State Drives(SSD)의 구조적인 특성을 활용한 Native Command Queueing(NCQ) 스케줄링 기법을 제안하려 한다. SSD는 Hard Disk Drives(HDD)와 달리 접근시간이 매우 짧고, 읽기/쓰기 속도가 서로 다르다는 특성이 있다. 그리고 SSD 내부에는 HDD와 마찬가지로 버퍼캐시가 존재한다. 이런 특성들을 활용하여 커맨드가 처리되는데 걸리는 시간을 모델링할 수 있다. 이렇게 모델링한 처리시간을 짧은 순서대로 스케줄링 정책에 적용하여 응답속도를 개선할 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.1591-1594
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• 2010

NAND 플래시 메모리 기반의 Solid State Disk (SSD)의 내부에는 Flash Translation Layer (FTL)이라는 소프트웨어가 사용되고 있다. FTL은 파일 시스템으로부터 요청되는 논리 주소를 플래시 메모리의 물리 주소로 변환하며 이를 위하여 사상 테이블을 사용한다. 사상 테이블의 빠른 접근을 위하여 사상 테이블은 SSD 내부의 RAM에 유지하는데 SSD의 용량이 커지게 되면 사상 테이블로 인해 요구되는 RAM의 크기도 커지는 문제점이 있다. 본 논문에서는 FTL의 사상 테이블을 페이지 단위로 나누어 필요할 때마다 RAM에 적재하는 다단계 사상 테이블 기법을 연구하였다.

• Proceedings of the KAIS Fall Conference
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• 2008.05a
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• pp.218-219
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• 2008

Solid State Disks(SSD) are one of the best candidates to support next storage technology in desktop and server computing environment. The features of non-volatility, low power consumption, and fast access time for read operations are sufficient grounds to support SSD as major components of future storages. This paper describes a technical trend of HDD based RAID technology and proposes a new RAID system for SSD.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.4
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• pp.378-388
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• 2008

Flash memory has been attracting attention as the next mass storage media for mobile computing systems such as notebook computers and UMPC(Ultra Mobile PC)s due to its low power consumption, high shock and vibration resistance, and small size. A storage system with flash memory excels in random read, sequential read, and sequential write. However, it comes short in random write because of flash memory's physical inability to overwrite data, unless first erased. To overcome this shortcoming, we propose an SSD(Solid State Disk) architecture with two novel features. First, we utilize non-volatile FRAM(Ferroelectric RAM) in conjunction with NAND flash memory, and produce a synergy of FRAM's fast access speed and ability to overwrite, and NAND flash memory's low and affordable price. Second, the architecture categorizes host write requests into small random writes and large sequential writes, and processes them with two different buffer management, optimized for each type of write request. This scheme has been implemented into an SSD prototype and evaluated with a standard PC environment benchmark. The result reveals that our architecture outperforms conventional HDD and other commercial SSDs by more than three times in the throughput for random access workloads.

• The Journal of the Korea institute of electronic communication sciences
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• v.6 no.5
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• pp.665-671
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• 2011

The Competitiveness of Hybrid hard disk drive(H-HDD) for solid state disk(SSD) comes from both lower power consumption and higher reading speed. This paper suggests a prefetching scheme that can improve the performance of Non-Volatile cache(NVCache) memory installed on the H-HDD through prefetching disk blocks as well as files to the NVCache. The proposed scheme makes the highly used data such as booting files copy to the NVCache as an unit of file and the frequently accessed blocks copy to the NVCache. This prefetching is done on the idle time of disk queue and the priorities of prefetched target blocks are based on both time and spatial locality of blocks. Experiments results show that the suggested method can improve response time of H-HDD and also lower the power consumption.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.48 no.7
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• pp.57-64
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• 2011

To adjust the difference of bandwidth between host interface and NAND flash memory, DRAM is adopted as the buffer management in SSD (Solid-state Disk). In this paper, we propose cost-effective techniques to enhance SSD performance instead of using expensive high bandwidth DRAM. The SSD data can be classified into three groups such as user data, meta data for handling user data, and FEC(Forward Error Correction) parity/ CRC(Cyclic Redundancy Check) for error control. In order to improve the performance by considering the features of each data, we devise a flexible burst control method through monitoring system and a page based FEC parity/CRC application. Experimental results show that proposed methods enhance the SSD performance up to 25.9% with a negligible 0.07% increase in chip size.

• The Journal of Korean Institute of Next Generation Computing
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• v.14 no.5
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• pp.40-52
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• 2018

Solid state drive (SSD) cache technologies that are used as a second-tier cache between the main memory and hard disk drive (HDD) have been widely studied. The SSD cache requires a new prefetching scheme as well as cache replacement algorithms. This paper presents a prefetching scheme for a storage-class cache using SSD. This prefetching scheme is designed for the storage-class cache and based on a long-term scheduling in contrast to the short-term prefetching in the main memory. Traditional prefetching algorithms just consider only read, but the presented prefetching scheme considers both read and write. An experimental evaluation shows 2.3% to 17.8% of hit rate with a 64GB of SSD and the 4GiB of prefetching size using an I/O trace of 14 days. The proposed prefetching scheme showed significant improvement of cache hit rate and can be easily implemented in storage-class cache systems.