김기림은 스티븐 스펜더의 시를 어떻게 읽었는가?

김준환(Joon-Hwan Kim) 한국비평이론학회 2007 비평과이론 Vol.12 No.1

  This paper studies Ki-Rim Kim’s reception and transformation of Stephen Spender’s poetry along with W. H. Auden’s and C. Day Lewis’s during the 1930s and 1940s. Since November 1934, Kim had contrasted Eliot"s conservative politics and passive description of the status quo of the present waste land to Spender’s revolutionary politics, critique of Nazism and Fascism and active struggle to make a new society. Especially, Kim adopted the Auden-generation poets as an alternative to T. S. Eliot with emphasis on their revolutionary poetry and politics and transformed them in the colonial context. Section Ⅱ examines one of the major problems of the previous formalistic studies which have focused on similarities between the two poets in terms of such subject matters as the “train”; Section Ⅲ traces Kim’s reading of Spender, Auden, and Day Lewis and reveals the significance of his reading in the colonial context. In doing so, this paper argues that Kim while receiving their revolutionary poetry and politics did not simply imitate but transform them in the process of de-colonialization, and that it is necessary to re-conceptualize “modernity” and “modernism” in the study of the influence of Anglo-American modernist poetry on Korean modernist poetry.

풍자시론 : 김기림의 엘리엇ㆍ스펜더 읽기

김준환(Joon-Hwan Kim) 한국비평이론학회 2008 비평과이론 Vol.13 No.1

  This paper traces Ki-Rim Kim"s readings or T. S. Eliot and Stephen Spender in his prose works focusing on the notion of "satire." While he was writing the satiric long poem - The Weather Chart - in 1935, Kim frequently criticized not only Eliot"s accurate but passive portrayal of the status quo but also his limited use of satire whose (self-)mocking style could help overcome the sentimental romanticism of "sorrow, grief, mourning, and despair" but could not reach the level of "rage" to overturn the established situation. Kim accepted Spender"s realistic portrayal of the socio-political events as an alternative to Eliot"s symbolic portrayal of spiritual waste land, and Spender"s hope for the future or new society as distinguished from Eliot"s indiscriminate or vague hope for the spiritual regeneration. In the mid-thirties when even the "camouflaged aestheticism" could not be available for Korean writers under the Japanese colonial rule, Kim tried to propose the theory or satiric long poem not only to set up the theory or his modernist long poem and but to reveal his desire to overturn the colonial order indirectly by having recourse to Eliot and Spender.

인공신경망을 이용한 온도프리스트레싱 공법의 적정 가열구간 설정에 관한 연구

김준환,안진희,김강미,김상효,Kim, Jun Hwan,Ahn, Jin-Hee,Kim, Kang Mi,Kim, Sang Hyo 한국강구조학회 2007 韓國鋼構造學會 論文集 Vol.19 No.6

온도프리스트레싱 공법은 강합성거더교 또는 강구조물에 인위적인 온도경사를 가하여 프리스트레싱력을 도입하기 위해 개발된 공법으로, 연속 강합성거더교에 적용할 경우 부모멘트 발생지점인 연속지점부 부근의 바닥판에 프리스트레스를 도입함으로써 콘크리트 바닥판의 인장균열을 억제하는 한편, 교축방향 보강철근 사용량 및 강거더 단면을 감소시킬 수 있어 경제성과 시공성의 향상이 가능한 공법이다. 이전의 연구에서 가열구간을 설정하기 위해 사용한 시행오차법은 비효율적인 것으로 온도프리스트레싱 공법을 적용한 설계가 효율적으로 이루어지기 위해서는 보다 합리적인 적정 가열구간의 설정기법이 필요하다. 본 연구에서는 이러한 문제점을 개선하기 위하여 패턴인식, 최적화, 진단 및 예측 등을 수행하는데 많이 사용되고 있는 인공신경망 이론을 적용하여 온도프리스트레싱 공법을 적용한 연속 강합성거더교의 가열구간을 효과적이고 경제적으로 설정하는 기법을 제안하고자 한다. 인공신경망 이론을 학습시키기 위한 학습알고리즘으로는 일반적으로 널리 사용되는 오차역전파 알고리즘을 사용하였으며, 이를 이용하여 2경간 및 3경간 연속 강합성거더교의 가열구간을 예측하고 유한요소해석과의 비교를 통하여 학습알고리즘의 특성 및 예측의 정확도를 분석하였다. The Thermal Prestressing Method for continuous composite girder bridges is a new design and construction method developed to induce initial composite stresses in the concrete slab at negative bending regions. Due to the induced initial stresses, prevention of tensile cracks at the concrete slab, reduction of steel girder section, and reduction of reinforcing bars are possible. Thus, the construction efficiency can be improved and the construction can be made more economical. The method for determining the optimum heating region of the thermal prestressing method has not been established although such method is essential for improving the efficiency of the design process. The trial-and-error method used in previous studies is far from efficient, and a more rational method for computing optimal heating region is required. In this study, an efficient method for determining the optimum heating region in using the thermal prestressing method was developed based on the neural network algorithm, which is widely adopted to pattern recognition, optimization, diagnosis, and estimation problems in various fields. Back-propagation algorithm, commonly used as a learning algorithm in neural network problems, was used for the training of the neural network. Through case studies of two-span and three-span continuous composite girder bridges using the developed procedure, the optimal heating regions were obtained.

항공안전데이터 구조 분석 및 표준 분류체계에 관한 연구

김준환,임재진,이장룡,Kim, Jun Hwan,Lim, Jae Jin,Lee, Jang Ryong 한국항공운항학회 2020 한국항공운항학회지 Vol.28 No.4

In order to enhance the safety of the international aviation industry, the International Civil Aviation Organization has recommended establishing an operational foundation for systematic and integrated collection, storage, analysis and sharing of aviation safety data. Accordingly, the Korea aviation industry also needs to comprehensively manage the safety data which generated and collected by various stakeholders related to aviation safety, and through this, it is necessary to previously identify and remove hazards that may cause accident. For more effective data management and utilization, a standard structure should be established to enable integrated management and sharing of safety data. Therefore, this study aims to propose the framework about how to manage and integrate the aviation safety data for big data-based aviation safety management and shared platform.

A Simple Analytic Method of Optical DFB Waveguides with Quarter-Wavelength Shifted Region

김준환,호광춘,Kim, June-Hwan,Ho, Kwang-Chun The Institute of Electronics and Information Engin 2001 電子工學會論文誌-CI (Computer and Information) Vol.38 No.12

${\lambda}$/4 천이영역을 갖는 평면 DFB 도파로의 광학적특성을 분석하였다. 그 도파로의 필터특성과 공진특성을 정확히 분석하기 위하여 Floquet 이론과 Babinet 원리에 기초한 새로운 모드 전송선로 이론을 유도하였다. 수치해석 결과, 본 논문에서 제시한 해석법은 ${\lambda}$/4 천이영역을 갖는 평면 DFB 도파로의 필터 특성과 공진특성을 간단히 해석할 수 있는 알고리즘을 제공하며, 다른 근사적 해석법들에서 얻을 수 없는 새로운 물리적 특성을 보여 주었다. We evaluate the optical characteristics of planar distributed feedback (DFB) waveguides with quarter-wavelength phase-shifter. To analyze explicitly its band-pass and resonance properties, we present and newly develop a modal transmission-line theory (MTLT) based on Floquet's theorem and Babinet's principle. The numerical results reveal that this approach offers a simple and analytic algorithm to analyze either the filtering or the oscillating characteristic of DFB gratings with quarter-wavelength phase-shifter, and has a novel physical insight that may not be achieved in other approximating approaches

大型 舶用 디이젤 엔진의 國産化 展望과 問題点

김준환,Kim, Jun-Hwan 한국마린엔지니어링학회 1979 한국마린엔지니어링학회지 Vol.3 No.1

Effects of Team Leadership Behavior of SME Organization on Teamwork and Job Satisfaction

김준환,Kim, Joon-Hwan Convergence Society for SMB 2018 융합정보논문지 Vol.8 No.2

The purpose of this study is to verify the relationship between teamwork and job satisfaction in team leadership behavior of SMEs. For this study, the survey data of 158 SME employees in the Seoul metropolitan area were analyzed by structural equation modeling. The results of the study are as follows. Team leadership behavior had a significant effect on teamwork. Teamwork was found to have a positive effect on job satisfaction. Therefore, this study identified ways to enhance competitiveness and stimulate team leadership behavior by cultivating team leadership behavior and teamwork competencies in accordance with the strategies of SMEs. It can also contribute to the development and strategy formulation and management of team leadership competencies to improve performance in SMEs. 본 연구는 중소기업의 팀 리더십행동이 팀워크와 직무만족 간의 관계규명을 검증하는데 목적이 있다. 본 연구를 위해 수도권에 위치한 중소기업 종업원 158명을 대상으로 설문조사한 자료를 구조방정식모형으로 분석하였다. 연구결과는 다음과 같다. 팀 리더십행동은 팀워크에 유의한 영향을 미치는 것으로 나타났다. 팀워크는 직무만족에 긍정적인 영향을 미치는 것으로 확인되었다. 팀워크는 팀 리더십행동과 직무만족 간의 관계를 유의하게 매개효과가 있는 것으로 나타났다. 따라서 본 연구는 중소기업의 전략에 맞게 팀 리더십행동 및 팀워크 역량을 함양함으로써 경쟁력을 강화하고, 팀 리더십행동을 활성화하기 위한 방안을 규명하였다. 또한 중소기업에서 성과를 향상하기 위한 팀 리더십 역량의 개발과 전략 수립 및 운영에 기여할 수 있다.

Interaction Between Multi-Component Lanthanide Alloy and Ferritic-Martensitic Steel

김준환,Jin-SikCheon,June Hyung Kim,Byoung Oon Lee,Chan Bock Lee 대한금속·재료학회 2014 METALS AND MATERIALS International Vol.20 No.5

Studies were carried out to evaluate the effect of lanthanide elements which are generated during the fissionprocess on the interaction between metal fuel and cladding material. Quartenary lanthanide alloy as Nd-Ce-Pr-La and Sm-contained quintenary alloy were manufactured by vacuum arc remelting and a diffusion coupletest with HT9 (12Cr1MoWV) alloy was carried out at 660 and 700 °C for up to 231 h followed by microstructuralanalysis. The results showed that interdiffusion between lanthanide element (Nd, Ce) and Fe tookplace as the diffusion couple test proceeds to form intermetallic compounds as an RE2(Fe,Cr)17 (RE=Nd, Ce, Pr,La) type. As the number of alloying elements increased, the reaction layer thickness increased, but a deviationof the theoretical non-linear relationship as well as an increase in the rate exponent occurred. Instantaneous diffusionof Fe into a lanthanide side and its associated Fe depletion beneath the interface acted as the major drivingforce in forming the reaction layer. The addition of Ce enhanced the Nd diffusion and increased the layergrowth when compared to pure Nd alone.

경험적 벼 작황예측 방법에 대한 소개와 원격탐사를 이용한 예측과의 비교

김준환,이충근,상완규,신평,조현숙,서명철,Kim, Junhwan,Lee, Chung-Kuen,Sang, Wangyu,Shin, Pyeong,Cho, Hyeounsuk,Seo, Myungchul 대한원격탐사학회 2017 大韓遠隔探査學會誌 Vol.33 No.5

본 총설에서는 작황조사 시험을 활용한 통계적 작황예측 방법에 대해 소개하고 이를 원격탐사를 이용한 방법과 비교하였다. 17개 지역에서 이루어지는 작황조사시험 기반으로 작황조사시험의 수량구성요소 중 등숙률을 일사량과 선형회귀식으로 예측하고 면적당 영화수는 작황조사의 실측값을 활용하여 수량을 재구성하는 방법으로 예측 결과를 얻어진다. 예측 결과는 비교적 정확하였는데 지난 2010년부터 2016년까지 가장 적은 오차는 1 kg/10a였으며 가장 큰 편차는 19 kg/10a 이었다. 크게 편차가 발생한 이유는 태풍에 의해 피해 때문이었다. 즉 작황조사를 이용한 통계적 방법은 재해에 의한 공간변이를 충분히 반영하지 못하는 약점이 있다. 반면 원격탐사는 이러한 재해에 의한 공간적 변이를 보다 잘 설명할 수 있는 장점이 있다. 따라서, 벼의 생육상황에 큰 문제가 없는 경우에는 두가지 접근법 모두 유효하고 재해가 발생하였을 때는 원격탐사가 더 정확할 수 있을 것으로 보인다. This review introduces the empirical approach of rice yield forecasting and compares it with remote sensing approach. The empirical approach, was based on the results of the rice growth and yield monitoring experiment in 17 sites, estimated rice yield by recombination of yield components. The number of spikelet per unit area was from results of experiment sites and grain filling rate was estimated from linear regression with sunshine hours. The estimation results were relatively accurate from 2010 to 2016. The smallest error was 1 kg / 10a and the largest error was 19 kg / 10a. The largest error was caused by the typhoon. The empirical approach did not fully reflect the spatial variation caused by disasters such as typhoon or pest. On the other hand, remote sensing could explain spatial variation caused by disasters. Therefore, if there are not any disaster in rice field, both approaches are valid and remote sensing will be more accurate when any local disaster occurs.

Analysis of User Experience and Usage Behavior of Consumers Using Artificial Intelligence(AI) Devices

김준환,Kim, Joon-Hwan The Society of Digital Policy and Management 2021 디지털융복합연구 Vol.19 No.6

본 연구는 인공지능(AI) 디바이스가 차세대 정보통신기술(ICT)의 핵심 플랫폼으로 급부상하고 있고, 소비자들의 일상에 널리 적용되고 있는 인공지능 디바이스를 통해 소비자의 사용행태 및 사용자 경험에 대해 살펴보았다. 이를 위해 AI 디바이스 사용 경험이 있는 국내 소비자 600명을 대상으로 AI 디바이스의 속성 인식과 사용행태를 도출하였다. 분석결과는 다음과 같다. 첫째, 다양한 속성 중 음악청취를 가장 많이 이용하였고, 날씨 정보제공과 같은 단순한 기능을 유용하게 인식하는 것으로 나타났다. 둘째, AI 디바이스 사용자의 주요 사용기기는 AI 스피커, 스마트폰, PC, 노트북 등으로 확인되었다. 셋째, AI 디바이스에 대한 연상 이미지는 재미있는, 유용한, 신기한, 똑똑한, 혁신적인, 친근한 순으로 나타났다. 따라서 본 연구는 AI 디바이스의 특성을 반영한 사용 행태를 분석함으로써 향후 AI 디바이스를 활용한 사용자의 서비스 제공에 기여할 수 있다는 실무적 시사점을 갖는다. Artificial intelligence (AI) devices are rapidly emerging as a core platform of next-generation information and communication technology (ICT), this study investigated consumer usage behavior and user experience through AI devices that are widely applied to consumers' daily lives. To this end, data was collected from 600 consumers with experience in using AI devices were derived to recognize the attributes and behavior of AI devices. The analysis results are as follows. First, music listening was the most used among various attributes and it was found that simple functions such as providing weather information were usefully recognized. Second, the main devices used by AI device users were identified as AI speakers, smartphone, PC and laptops. Third, associative images of AI devices appeared in the order of fun, useful, novel, smart, innovative, and friendly. Therefore, practical implications are suggested to contribute to provision of user services using AI devices in the future by analyzing usage behaviors that reflect the characteristics of AI devices.