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피란델로의 <또 다른 아들>에 나타난 모성양상 - 진실주의적 묘사방식과 그 너머의 상대론적 주제 의식-
장지연 ( Jang¸ Jiyeon ) 한국이탈리아어문학회(구 한국이어이문학회) 2020 이탈리아어문학 Vol.0 No.61
In general, the important contribution of Pirandello to literary and theater history is that “he is always described as “epoch-making”, “unconventional”, and “destroying the tradition” in terms of content and form, he destroyed the theatrical tradition of 19th-century European writers such as Ibsen, Chekhov, and Shaw through a new form of play, he made a turning point in world theater history in the 20th century, and his motto is “the rejection of 19th-century positivism that believes in absolute truth.”” However, some of his early works show the influence of French naturalism in the 19th century after the 1860s based on positivity, the conventional tradition he rejected, the description method of Italian verism influenced by naturalism to be more specific. “The other Son” (the novel written in 1902 and the play written in 1923 of the same name) also belongs to this category. I dealt with this work in the aspect of maternity that the author clearly revealed his relativistic thematic consciousness, which established a new tradition in the 20th century, underneath it although he used the veristic description method under the influence of 19th-century naturalism. Therefore, first of all, this study examined the veristic description regarding three aspects through the violent reality of Sicily, the reality of poor immigrants, and the maternity that is not capable of reconciling with reality, has no solution, and cannot expand the scope of acceptance and inclusion, through the protagonist destroyed by terrible violence in this miserable reality in turn. Second, it was found that although the aspect of destroyed maternity in the violent and poor reality was presented through the veristic description, his relativistic position was already revealed in the subject matter beyond it. Lastly, this study also examined that the “compassion and sympathy for humans” penetrating all Pirandello's works, was already revealed from his early works of the veristic tendency along with the “relativistic perspective” through an open ending contrasting with the doctor's compassion instead of helpless maternity.
장지연(Jang Jiyeon) 역사비평사 2018 역사비평 Vol.- No.125
This article proposes that five methodological points should be considered to handle the change of dynasty: First, the characteristics of one field can not be directly expanded to other field. Second, the motive and effect of policy should be distinguished. Third, A totally new change can not happen, so scholars should present their criterion for the level of changes. Forth, scholars should present their criterion for modeling of before and after. Fifth, cultural lag and long term continuities should be distinguished. And if a similar phenomena is located in a different context, it may have different meanings and effects. Studies on the continuities and the changes of dynasty are still in the Hegel’s historical development concept and failed to give a new perspective. It is time to consider methodological approaches and new theories.
통합모델의 강수물리과정 모수 최적화를 위한 알고리즘 비교 연구
장지연(Jiyeon Jang),이용희(Yong Hee Lee),주상원(Sangwon Joo) 한국지능시스템학회 2017 한국지능시스템학회논문지 Vol.27 No.1
기상수치예보모델의 강수물리과정은 강수 발생과 연관된 입자의 낙하속도, 부착 및 자동전환, 입자크기분포 등의 과정을 다룬다. 하지만 수치예보모델의 미세물리과정과 모수에는 상당한 불확실성이 내포되어 있다. 수치예보모델의 불확실성을 줄이기 위하여 일반적으로 모수 추정을 사용한다. 이 연구에서는 모수 추정을 위한 최적화 알고리즘으로 마이크로 유전알고리즘과 하모니탐색 알고리즘을 사용하고 우리나라에서 발생한 강수사례에 대해 통합모델의 강수물리과정에서 사용하는 모수를 최적화하였다. 두 알고리즘의 서로 다른 특성으로 인해 최적화 과정 중의 차이가 보였다. 마이크로 유전알고리즘은 440회 수행 후 약 1.033의 적합도로 수렴하였고 하모니탐색 알고리즘은 60번 수행 후 약 1.031의 적합도로 수렴하였다. 이를 통해 하모니탐색 알고리즘이 마이크로 유전알고리즘보다 더 빨리 최적의 모수를 탐색하는 것을 알 수 있었다. 따라서 계산비용이 방대한 기상수치예보모델의 최적화 문제에서 빠른 시간 내에 최적의 모수를 탐색해야 한다면 하모니 탐색 알고리즘이 더 적합하다는 것을 확인하였다. The microphysical processes of the numerical weather prediction (NWP) model cover the following : fall speed, accretion, autoconversion, droplet size distribution, etc. However, the microphysical processes and parameters have a significant degree of uncertainty. Parameter estimation was generally used to reduce errors in NWP models associated with uncertainty. In this study, the micro- genetic algorithm and harmony search algorithm were used as an optimization algorithm for estimating parameters. And we estimate parameters of microphysics for the Unified model in the case of precipitation in Korea. The differences which occurred during the optimization process were due to different characteristics of the two algorithms. The micro-genetic algorithm converged to about 1.033 after 440 times. The harmony search algorithm converged to about 1.031 after 60 times. It shows that the harmony search algorithm estimated optimal parameters more quickly than the micro-genetic algorithm. Therefore, if you need to search for the optimal parameter within a faster time in the NWP model optimization problem with large calculation cost, the harmony search algorithm is more suitable.
마이크로 유전알고리즘을 이용한 초단기예측시스템과 강수 실황모델의 결합을 통한 초단기 강수예측성능 개선
장지연(Jiyeon Jang),이용희(Yong Hee Lee),이근희(Keunhee Lee),김민유(Minyou Kim),오수빈(Su-Bin Oh),박소라(So-Ra Park) 한국지능시스템학회 2019 한국지능시스템학회논문지 Vol.29 No.4
기상청에서는 초단기 강수예보를 위해 초단기예측시스템(VDAPS)과 강수실황모델(MAPLE)을 현업 운영하고 있다. 두 모델의 강수예측성능은 실황으로부터 3시간 예측까지는 MAPLE이 VDAPS보다 높지만 그 이후 예측시간에는 VDAPS가 MAPLE보다 높다. 이 연구에서는 초단기 강수예측성능을 개선하고자 마이크로 유전알고리즘을 이용하여 두 모델의 장점을 결합하여 실황과 초단기 예측의 이음새 없는 강수예측을 도출하였다. 마이크로 유전알고리즘은 두 모델의 결합을 위한 반영 가중치 추정을 위해 사용되었으며, 1시간부터 6시간 예측까지의 예측시간에 따른 가중치를 추정하는 실험과 강수의 공간적인 분포를 고려한 예측시간별, 공간별 가중치를 추정하는 실험을 수행하였다. 두 실험에서 추정한 가중치는 1, 2시간 예측에서 MAPLE이 컸고 그 이후의 예측에서는 VDAPS가 컸다. 또한 초단기 강수예측성능 개선 여부 확인을 위해 훈련기간과 예측기간에 대해 강수임계값별 예측성능을 검증하였다. VDAPS와 MAPLE을 결합한 실험의 결과에서 두 모델의 예측특성중 장점만이 결합되어 1, 2 시간의 강수예측성능은 높고 그 이후의 시간에서 VDAPS의 예측성능보다 높게 유지하여 실황과 초단기 예측의 이음새 없는 강수예측이 도출됨을 확인하였다. Korea Meteorological Administration has been operating Very short-range Data Assimilation and Prediction System(VDAPS) and the Mcgill Algorithm for Prediction nowcasting by Lagrangian Extrapolation(MAPLE) for very short range forecast. By comparing their predictability of precipitation, MAPLE shows more higher skill scores than VDAPS within 3 hours forecast time, while VDAPS indicates better skill scores after that. In this study, the seamless precipitation prediction is derived by blending the strengths of VDAPS and MAPLE using micro-genetic algorithm (μ-GA) to improve the precipitation forecast skills. Two experiments are performed to estimate an optimal weights of blending based on the lead times only and the lead times and spatial distribution both. The estimated weights of two experiments for MAPLE are higher than VDAPS within 2 hours. And these of VDAPS are higher than MAPLE’s after 3 hours. Also, the predictability of precipitation during training and forecasting periods is evaluated and it is shown that the results of blended experiments have more higher skill scores of precipitation than VDAPS and such a seamless prediction by blending VDAPS and MAPLE using μ-GA is possible to produce more reliable predictability of precipitation forecast.