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낸드 플래시 메모리 시스템 기반의 지속성을 고려한 핫 데이터 식별 경량 기법
이승우,Lee, Seungwoo 한국사물인터넷학회 2022 한국사물인터넷학회 논문지 Vol.8 No.5
Nand flash memory requires an Erase-Before-Write operation structurally. In order to solve this problem, it can be solved by classifying a page (hot data page) where data update operation occurs frequently and storing it in a separate block. The MHF (Multi Hash Function Framework) technique records the frequency of data update requests in the system memory, and when the recorded value exceeds a certain standard, the data update request is judged as hot data. However, the method of simply counting only the frequency of the data update request has a limit in judging it as accurate hot data. In addition, in the case of a technique that determines the persistence of a data update request, the fact of the update request is recorded sequentially based on a time interval and then judged as hot data. In the case of such a persistence-based method, its implementation and operation are complicated, and there is a problem of inaccurate judgment if frequency is not considered in the update request. This paper proposes a lightweight hot data determination technique that considers both frequency and persistence in data update requests.
데이터 갱신요청의 연속성과 빈도를 고려한 개선된 핫 데이터 검증기법
이승우,Lee, Seungwoo 한국사물인터넷학회 2022 한국사물인터넷학회 논문지 Vol.8 No.5
A storage device used in the mobile computing field should have low power, light weight, durability, etc., and should be able to effectively store and manage large-capacity data generated by users. NAND flash memory is mainly used as a storage device in the field of mobile computing. Due to the structural characteristics of NAND flash memory, it is impossible to overwrite in place when a data update request is made, so it can be solved by accurately separating requests that frequently request data update and requests that do not, and storing and managing them in each block. The classification method for such a data update request is called a hot data identification method, and various studies have been conducted at present. This paper continuously records the occurrence of data update requests using a counting filter for more accurate hot data validation, and also verifies hot data by considering how often the requested update requests occur during a specific time.
이승우,오다영,김명철,김용백,류덕영,Lee, Seungwoo,Oh, Dayoung,Kim, Myung-Chul,Kim, Yongbaek,Ryu, Doug-Young 대한수의학회 2015 大韓獸醫學會誌 Vol.55 No.4
Exercise is one of the most common stressors in horses. Although various physiological parameters such as cortisol respond to exercise, there is no reliable parameter for the measurement of exercise-induced stress in sport horses. This study was performed to discover a new biomarker with high sensitivity for exercise-induced stress. The expression of fos mRNA was increased more than 10-fold in horse blood samples collected after an hour of exercise, as compared with before the exercise. The plasma cortisol levels were also increased after the exercise, but only by about two-fold. The fos mRNA levels were well-correlated with plasma cortisol concentrations. These findings suggest that fos mRNA expression in blood may be useful for the measurement of exercise-induced stress in horses.
이승우(Seungwoo Lee),이원일(Wonll Lee),이근배(Geunbae Lee),이종혁(Jong-Hyeok Lee),박재득(Jaduk Park) 한국정보과학회 1997 한국정보과학회 학술발표논문집 Vol.24 No.2Ⅱ
본 논문에서는 자연어 질의가 가지는 특징들을 살펴보고, 범주 문법과 논리구조에 기반한 한국어 의미 분석기[권혜진 1997]를 기반으로 parsing기법을 개선하여 시스템의 속도를 향상시키는 방법을 제안한다. 또 자연어 처리의 각 단계의 분석 점수를 결합하여 애매성을 내포하고 있는 자연어 질의로부터 의미 분석의 best result를 얻는 방법을 소개하고 튜닝을 통해 그 결과를 확인한다.