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“Sum ded and sum awedde”: Ambiguity, Madness, and Dehumanization in Sir Orfeo
허우리 한국고전중세르네상스영문학회 2023 중세근세영문학 Vol.33 No.2
Sir Orfeo explores the ambivalent nature of categorized dichotomy dividing civilized humanity and savage inhumanity by having Orfeo and the fairy king intrude on the realms of each other. Although the fairy king and his companions display familiar tropes of courtly activities and conducts similar to Orfeo’s own court, their refined civility comes across as uncanny due to the alien nature of the Otherworld. Conversely, Orfeo and Heurodis experience traumatic loss of legible humanity through their encounters with the fairy king, fashioning themselves into something inhuman as they leave the comfort of human society. Heurodis’s madness is especially unsettling, since the physical and psychological damage sustained on her person renders her inaccessible as a courtly queen. The “happy” ending of the poem is thus unsatisfactory from the dynastic standpoint, which is in turn an expression of the overarching thematic concern with narrative ambiguity and fractured dualism.
Reanimating the Trojan Past in Troilus and Cressida
허우리 한국고전중세르네상스영문학회 2023 중세근세영문학 Vol.33 No.3
William Shakespeare’s notorious disillusionment towards the legendary past in Troilus and Cressida is firmly rooted in the nature of dramatic retelling of the past itself and the nostalgia therein. The mythic characters in the play exist as deliberately satirical caricatures, bespeaking Shakespeare’s doubts about Britain’s Trojan past as a source of prestigious collective identity. Despite Troy’s significance as the legendary point of origin for European nations, the notion of homogeneous historiography has become impossible to maintain due to the countless retellings and appropriations of Trojan narratives. As a result, Troy can only exist as an amorphous specter of the past. The ghostly existence of the legendary figures is explored by Shakespeare through merciless critique of courtly love and chivalric valor supposedly represented by these characters. By dismantling and exposing the fragmented history of Troy, Shakespeare shows the impossibility of an idealized past, or successfully bringing such a thing back to life.
발과 발목에 적용한 관절가동기법이 뇌졸중 환자의 균형 능력에 미치는 영향
허우리,SONGBRIAN BYUNG 대구대학교 특수교육재활과학연구소 2016 특수교육재활과학연구 Vol.55 No.2
연구는 뇌졸중 환자를 대상으로 발과 발목에 관절가동기법을 적용하여 뇌졸중 환자의 관절가동범위와 균형 능력 개선에 미치는 효과를 알아보는데 있으며, 효과가 얼마나 지속되는지 시간에 따라 반복측정함으로써 균형 조절을 위한 마비측 발과 발목의 감각입력의 기여에 대해 이해를 높이고자 하였다. 본 연구의 대상은 뇌졸중으로 진단받고 병원에서 입원치료를 받고 있는 환자 11명이다. 연구방법은 치료적 중재 전 검사로 연구 대상자의 마비측 발등굽힘과 발바닥굽힘의 관절가동범위(Goniometer) 및 균형 능력(기능적 뻗기 검사)을 측정하였고, 이어서 연구자는 20분간 각 연구대상자의 발과 발목에 관절가동기법을 적용하였다. 치료적 중재가 끝나면 중재 즉시, 중재 3시간 후, 중재 6시간 후 관절가동범위 및 균형능력을 반복측정 하였다. 연구 결과 뇌졸중 환자의 발과 발목에 관절가동기법 적용에 대한 시간에 따른 발등굽힘 관절가동범위, 발바닥굽힘 관절가동범위, 균형능력은 통계적으로 유의한 차이가 있었다(p<.05). 이상의 결과로 보아 뇌졸중 환자의 발과 발목에 관절가동기법을 적용하는 것은 발목의 관절가동범위를 증가시키고 균형 능력을 향상시키는데 도움이 될 것으로 여겨진다.
김경훈,박종구,허우로,이유환,장동혁,양해웅 한국소성∙가공학회 2023 소성가공 : 한국소성가공학회지 Vol.32 No.6
The process of heat treatment in cold forging is an essential role in enhancing mechanical properties. However, it relies heavily on the experience and skill of individuals. The aim of this study is to predict hardness using machine learning to optimize production efficiency in cold forging manufacturing. Random Forest (RF), Gradient Boosting Regressor (GBR), Extra Trees (ET), and ADAboosting (ADA) models were utilized. In the result, the RF, GBR, and ET models show the excellent performance. However, it was observed that GBR and ET models leaned significantly towards the influence of temperature, unlike the RF model. We suggest that RF model demonstrates greater reliability in predicting hardness due to its ability to consider various variables that occur during the cold forging process.
기계학습을 활용한 공정 변수별 오스템퍼링 경도 예측 비교 연구
김경훈,박종구,허우로,양해웅 한국열처리공학회 2023 熱處理工學會誌 Vol.36 No.6
Aus-tempering heat treatment is suitable for thin and small-sized in precision parts. However, the heat treatment process relies on the experience and skill of the operator, making it challenging to produce precision parts due to the cold forging process. The aims of this study is to explore suitable machine learning models using data from the aus-tempering heat treatment process and analyze the factors that significantly impact the mechanic properties (e.g. hardness). As a result, the study analyzed, from a machine learning perspectiv