http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
한국어능력시험의 학문 목적 사용에 관한 타당화 - 평가사용논증 모형을 중심으로-
박수현 국제한국어교육학회 2019 한국어 교육 Vol.30 No.3
The test of proficiency in Korean, TOPIK, is to set a Korean language learning path for those who do not use Korean as their first language, and to promote the Korean language by officially evaluating Korean language. Although other uses have been identified, this article focuses on the primary intended use of TOPIK in tertiary level academic settings, e.g. university admission and graduation. With an increasing concern about the test use and consequence, it draws on the structure and rationale of Bachman and Palmer’s (2010) assessment use argument, AUA, and investigates the consequences of using an assessment and the decisions that are made on TOPIK scores in university settings. Backing is collected from government documents and in-depth interviews with stakeholders to support the articulated claims and the related warrants. Based on the TOPIK’s AUA conceptual framework, the findings provided that claim 1 and claim 2 were partially supported, in that the test developer’s intended goals for the TOPIK in academic settings were only achieved to a certain degree.
박수현,김삼용,Park, Soo-Hyun,Kim, Sahm 한국통계학회 2016 응용통계연구 Vol.29 No.7
풍력에너지 산업이 발전하고 풍력발전에 대한 의존율이 높아짐에 따라 안정적인 공급이 중요해지고 있다. 원활한 전력수급계획을 세우기 위해서 풍력발전량을 정확히 예측하는 것이 중요하다. 본 논문에서는 강원도 평창 횡계리에 설치된 대관령 2풍력(2MW 1기)의 시간별 풍력발전 데이터와 강원도 대관령 기상대에서 관측되는 시간별 풍속과 풍향 데이터를 기상청 지상관측자료에서 수집하여 연구하였다. 풍력발전량 예측을 위하여 신경망 모형과 시계열 모형인 ARMA, ARMAX, ARMA-GARCH, Holt Winters 모형을 비교하였다. 모형 간 예측력을 비교하기 위해 mean absolute error(MAE)를 사용하였다. 모형의 예측 성능 비교 결과 1시간에서 3시간의 단기 예측에 있어서 ARMA-GARCH 모형이 우수한 예측력을 보였다. 6시간 이후 예측에서는 신경망 모형이 우수한 예측을 보였다. The wind energy industry and wind power generation have increased; consequently, the stable supply of the wind power has become an important issue. It is important to accurately predict the wind power with short-term basis in order to make a reliable planning for the power supply and demand of wind power. In this paper, we first analyzed the speed, power and the directions of the wind. The neural network and the time series models (ARMA, ARMAX, ARMA-GARCH, Holt Winters) for wind power generation forecasting were compared based on mean absolute error (MAE). For one to three hour-ahead forecast, ARMA-GARCH model was outperformed, and the neural network method showed a better performance in the six hour-ahead forecast.
무차별 공격에 효과적인 다중 Address Space Randomization 방어 기법
박수현,김선일,Park, Soo-Hyun,Kim, Sun-Il 한국정보처리학회 2011 정보처리학회논문지 C : 정보통신,정보보안 Vol.18 No.2
Address Space Randomization(ASR)은 성능 부하가 없고 광범위한 데이터 메모리 영역의 보호가 가능한 우수한 방어 기법이다. ASR은 사용 가능한 데이터 메모리 영역 내에서 변수를 재배치 함으로써 공격자에게 변수의 주소를 숨기는데, 데이터 메모리 영역의 크기가 한정되어서 무차별 공격에 취약한 단점이 있다. 본 논문은 기존 ASR의 단점을 제거하기 위한 다중 ASR 기법을 제시한다. 다중 ASR 기법은 데이터 메모리 영역을 원본 및 복사 영역으로 나누고 각 메모리 영역의 변수 값을 비교함으로써 공격을 탐지하고 방어한다. 다중 ASR에서 각 데이터 메모리 영역의 변수는 서로 다른 순서로 배치되므로 한 번의 공격을 통해 동시에 동일한 변수 값을 조작하는 것은 불가능하다. 다중 ASR이 적용된 프로그램은 중복 수행으로 인해 비교적 높은 성능 부하를 보이나, 실제 공격 대상이 되는 웹서버 등 I/O 처리가 많이 요구되는 프로그램의 경우 40%~50% 정도의 성능 부하를 보인다. 아울러 본 논문에서는 프로그램에 다중 ASR을 적용하기 위한 변환프로그램을 개발하였다. ASR is an excellent program security technique that protects various data memory areas without run-time overhead. ASR hides the addresses of variables from attackers by reordering variables within a data memory area; however, it can be broken by brute force attacks because of a limited data memory space. In this paper, we propose Multiple ASR to overcome the limitation of previous ASR approaches. Multiple ASR separates a data memory area into original and duplicated areas, and compares variables in each memory area to detect an attack. In original and duplicated data memory areas variables are arranged in the opposite order. This makes it impossible to overwrite the same variables in the different data areas in a single attack. Although programs with Multiple ASR show a relatively high run-time overhead due to duplicated execution, programs with many I/O operations such as web servers, a favorite attack target, show 40~50% overhead. In this paper we develop and test a tool that transforms a program into one with Multiple ASR applied.
Prediction of Soluble Solids Content of Chestnut using VIS/NIR Spectroscopy
박수현,임기택,이수희,이호영,노상하 한국농업기계학회 2013 바이오시스템공학 Vol.38 No.3
The present study focused on the estimation of soluble solids content (SSC) of chestnut using reflectance and transmittance spectra in range of VIS/NIR. Methods: Four species intact/peeled chestnuts were used for acquisition of spectral data. Transmittance and reflectance spectra were used to develop the best PLS model to estimate SSC of chestnut. Results: The model developed with the transmitted energy spectra of peeled chestnuts rather than intact chestnuts and with range of NIR rather than VIS performed better. The best R2 and RMSEP of cross validation were represented as 0.54 and 1.85 ˚Brix. The results presented that the reflectance spectra of peeled chestnuts by species showed the best performance to predict SSC of chestnut. R2 and RMSEP were 0.55 and 1.67 ˚Brix. Conclusions: All developed models showed RMSEP around 1.44 ~ 2.54 ˚Brix, which is considered not enough to estimate SSC accurately. It was noted that R2 of cross validation that we found were not high. For all that, grading of the fruits in two or three classes of SSC during postharvest handling seems possible with an inexpensive spectrophotometer. Furthermore, the development of estimation of SSC by each chestnut species could be considered in that SSC distribution is clustering in different range by species.
박수현,심윤범,김성수,이재령,Naveen Sharma,서홍원 한국통합생물학회 2016 Animal cells and systems Vol.20 No.5
5,7-Dihydroxytryptamine (5,7-DHT) is a neurotoxin which causes the depletion of serotonin. Moreover, the serotonergic system is the regulator of the blood glucose level. However, the role of centrally located serotonergic system in blood glucose regulation after D-glucose feed and immobilization (IMO) stress was not clearly characterized yet. Thus the present study was designed to examine the effect of 5,7-DHT administered intracerebroventricularly (i.c.v.) or intrathecally (i.t.) on the blood glucose level in D-glucose-fed and immobilization stress models. Mice were pretreated once i.c.v. or i.t. with 5,7-DHT (from 10 to 40 μg) for 3 days and D-glucose (2 g/kg) was fed orally. The blood glucose level was measured at 0, 30, 60 and 120 min after Dglucose feeding and immobilization stress initiation. We found that i.c.v. or i.t. pretreatment with 5,7-DHT attenuated the blood glucose level in both animal models. D-glucose feeding causes an increase in plasma insulin level, whereas the plasma corticosterone level was downregulated in the D-glucose-fed model. The i.c.v. or i.t. pretreatment with 5,7-DHT alone slightly increased the plasma corticosterone level. In addition, the i.c.v. or i.t. pretreatment with 5,7-DHT caused a reversal of the downregulation of plasma corticosterone level induced by D-glucose feeding, whereas immobilization stress causes an increase in plasma corticosterone and insulin levels. The i.c.v or i.t. pretreatment with 5,7-DHT attenuated the immobilization stress-induced plasma corticosterone and plasma insulin levels. Our results suggest that supraspinal and spinal depletion of serotonin appears to be responsible for the downregulation of blood glucose level in both D-glucose-fed and immobilization stress models.