안대웅 SK하이닉스 부사장

안대웅,강석호,신영철,이성주 대한산업공학회 2023 ie 매거진 Vol.30 No.3

액션뮤직의 외상적 미학: 백남준의 유년시절에서 독일 시기까지

안대웅 한국미술이론학회 2019 미술이론과 현장 Vol.0 No.27

Action-Music is a particular form of music that Nam June Paik composed and performed mainly during his German period. Since 1959, he emphasized the performative presentation of which characteristic frenzy is distinguished from other experimental music. This study aims to trace the psychological background and structure of this emotions embedded in the Action-Music. The hypothesis of this essay is that Paik’s aesthetics of trauma originated from his experience during the Korean War(1950-1953). In this respect, this study traces the transition of his childhood’s trauma to his artistic activities in Germany via his contact with Arnold Schoenberg by employing the psychoanalytic theory. I conclude that Paik’s traumatic emotion became the basis of his avant guard practices. 액션뮤직은 백남준이 독일 시기에 진행했던 퍼포먼스 음악으로, 그 특유의 광기는 다른 실험음악과 구별된다. 액션뮤직의 심리학적 배경과 구조를 추적하는 것이 본 연구의 목적이다. 본연구는 유년시절 백남준이 경험한 끔찍한 전쟁의 경험이 독일 시기 예술의 감성을 정립하는 데주요한 역할을 했다고 보고, 그의 미학이 외상적이라고 가설을 세웠다. 이러한 관점에서 아르놀트 쇤베르크라는 결절점을 중심으로 유년 시절의 외상이 어떻게 독일 시기의 음악적 활동으로전환되는지에 관해 추적하고 독일 시기 주요 작품에 관해 정신분석학적 분석을 시도했다. 하지만 전쟁의 외상 자체를 분석하는 것이 여기서의 목적은 아니다. 오히려 백남준이 외상적 감정을어떻게 아방가르드의 미학으로 전유하고 어떤 방식으로 예술에서 그것이 나타났는지가 주된 관심사다. 이를 통해 본 연구는 독일시기 액션뮤직을 접근할 수 있는 하나의 방법론적 틀을 모색하고자 했다.

SSVM(Stepwise-Support Vector Machine)을 이용한 반도체 수율 예측

안대웅,고효헌,김지현,백준걸,김성식 대한산업공학회 2009 산업공학 Vol.22 No.3

It is crucial to prevent low yields in the semiconductor industry. Since many factors affect variation in yield and they are deeply related, preventing low yield is difficult. There have been substantial researches in the field of yield prediction. Many researchers had used the statistical methods. Many studies have shown that artificial neural network (ANN) achieved better performance than traditional statistical methods. However, despite ANN’s superior performance some problems such as over-fitting and poor explanatory power arise. In order to overcome these limitations, a relatively new machine learning technique, support vector machine (SVM), is introduced to classify the yield. SVM is simple enough to be analyzed mathematically, and it leads to high performances in practical applications. This study presents a new efficient classification methodology, Stepwise-SVM (SSVM), for detecting high and low yields. SSVM is step-by-step adjustment of parameters to be precisely the classification for actual high and low yield lot. The objective of this paper is to examine the feasibility of SVM and SSVM in the yield classification. The experimental results show that SVM and SSVM provides a promising alternative to yield classification for the field data.

EDAP-LT01을 이용한 체외충격파쇄석술의 경험

안대웅,오문목 大韓泌尿器科學會 2001 Korean Journal of Urology Vol.42 No.5

거대요석을 동반한 남성의 요도게실 1례

안대웅,김경식,오문목,양거영 大韓泌尿器科學會 1999 Korean Journal of Urology Vol.40 No.12

Gil-Vernet 술식을 이용한 방광요관역류의 치험

안대웅,신재혁,오문목 大韓泌尿器科學會 2001 Korean Journal of Urology Vol.42 No.11

단계적 SVM(Support Vector Machine)을 이용한 반도체 제조공정에서의 최종검사 공정 수율 예측 방법론

안대웅(Daewoong An),고효헌(Hyo-Heon Ko),백준걸(Jungeol Baek),김성식(Sung-Shick Kim) 대한산업공학회 2009 대한산업공학회 춘계학술대회논문집 Vol.2009 No.5

It is crucial to prevent low yields in the semiconductor industry. Since many factors affect variation in yield and they are deeply related, preventing low yield is difficult. There have been substantial researches in the field of yield prediction. Many researchers had used the statistical methods. Many studies have shown that artificial neural network (ANN) achieved better performance than traditional statistical methods. However, despite ANN"s superior performance some problems such as over-fitting and poor explanatory power arise. In order to overcome these limitations, a relatively new machine learning technique, support vector machine (SVM), is introduced to classify the yield. SVM is simple enough to be analyzed mathematically, and it leads to high performances in practical applications. This study presents a new efficient classification methodology, Stepwise-SVM, for detecting high and low yields. Stepwise-SVM step-by-step adjustment of parameters to be precisely the classification for actual high and low yield lot. The objective of this paper is to examine the feasibility of SVM and stepwise-SVM in the yield classification. The experimental results show that stepwise-SVM provides a promising alternative to yield classification for the field data.

단계적 SVM(Support Vector Machine)을 이용한 반도체 제조공정에서의 최종검사 공정 수율 예측 방법론

안대웅(Daewoong An),고효헌(Hyo-Heon Ko),백준걸(Jungeol Baek),김성식(Sung-Shick Kim) 한국경영과학회 2009 한국경영과학회 학술대회논문집 Vol.2009 No.5

It is crucial to prevent low yields in the semiconductor industry. Since many factors affect variation in yield and they are deeply related, preventing low yield is difficult. There have been substantial researches in the field of yield prediction. Many researchers had used the statistical methods. Many studies have shown that artificial neural network (ANN) achieved better performance than traditional statistical methods. However, despite ANN"s superior performance some problems such as over-fitting and poor explanatory power arise. In order to overcome these limitations, a relatively new machine learning technique, support vector machine (SVM), is introduced to classify the yield. SVM is simple enough to be analyzed mathematically, and it leads to high performances in practical applications. This study presents a new efficient classification methodology, Stepwise-SVM, for detecting high and low yields. Stepwise-SVM step-by-step adjustment of parameters to be precisely the classification for actual high and low yield lot. The objective of this paper is to examine the feasibility of SVM and stepwise-SVM in the yield classification. The experimental results show that stepwise-SVM provides a promising alternative to yield classification for the field data.

Comparison of several dosing schedules of intravenous dexmedetomidine in elderly patients under spinal anesthesia

염종훈,안대웅,김경헌 대한마취통증의학회 2017 Anesthesia and pain medicine Vol.12 No.4

Background: Many clinicians have probably used subjective, unscientific methods for dose reduction to avoid overdose in elderly patients. The aim of this study was to compare several dosing schedules of intravenous dexmedetomidine (DEX) to identify the appropriate dosing schedule within the therapeutic dose range for adequate sedation of elderly patients under spinal anesthesia. Methods: After administration of spinal anesthesia, a loading dose of DEX was injected over 10 min in three groups with the following dosages: group A, 1.0 mg/kg of actual body weight; group B, 1.0 mg/kg of ideal body weight (IBW); and group C, 0.8 mg/kg of IBW. Then, a maintenance infusion (0.5 mg/kg of each BW/h) was administered. The bispectral index score (BIS), the time required to reach BIS 80, airway obstruction score, and the occurrence of bradycardia were recorded. Results: The changes in the BIS among the groups over time were found to have statistically significant differences (P < 0.001). The times required to reach BIS 80 were 6.1 ± 5.3 min, 5.0 ± 3.6 min, and 11.0 ± 8.6 min in groups A, B, and C, respectively (P < 0.001). The airway obstruction score and the frequency of bradycardia did not have statistically significant differences among the groups. Conclusions: An initial loading dose of DEX that is 0.8 mg/kg of IBW over 10 min, followed by an infusion rate of less than 0.5 mg/kg of IBW/h may be adequate for sedation in elderly patients receiving spinal anesthesia.

연명의료 관련 신문 기사의 텍스트네트워크분석

박은준,안대웅,박찬숙 한국지역사회간호학회 2018 지역사회간호학회지 Vol.29 No.2

Purpose: This study tried to understand discourses of life-sustaining treatments in general daily and healthcare newspapers. Methods: A text-network analysis was conducted using the NetMiner program. Firstly, 572 articles from 11 daily newspapers and 258 articles from 8 healthcare newspapers were collected, which were published from August 2013 to October 2016. Secondly, keywords (semantic morphemes) were extracted from the articles and rearranged by removing stop-words, refining similar words, excluding non-relevant words, and defining meaningful phrases. Finally, co-occurrence matrices of the keywords with a frequency of 30 times or higher were developed and statistical measures―indices of degree and betweenness centrality, ego-networks, and clustering―were obtained. Results: In the general daily and healthcare newspapers, the top eight core keywords were common: “patients,” “death,” “LST (life-sustaining treatments),” “hospice palliative care,” “hospitals,” “family,” “opinion,” and “withdrawal.” There were also common subtopics shared by the general daily and healthcare newspapers: withdrawal of LST, hospice palliative care, National Bioethics Review Committee, and self-determination and proxy decision of patients and family. Additionally, the general daily newspapers included diverse social interest or events like well-dying, euthanasia, and the death of farmer Baek Nam-ki, whereas the healthcare newspapers discussed problems of the relevant laws, and insufficient infrastructure and low reimbursement for hospice-palliative care. Conclusion: The discourse that withdrawal of futile LST should be allowed according to the patient’s will was consistent in the newspapers. Given that newspaper articles influence knowledge and attitudes of the public, RNs are recommended to participate actively in public communication on LST.