[SPECIAL_INTERVIEW] 화학세계가 만난 화학자(25) 이동훈 켐트로스 대표 : “경험을 자산으로 만들어 가는 힘이 중요합니다”

이동훈,이준석 대한화학회 2024 화학세계 Vol.64 No.4

tRNA 염기배열 순서를 이용한 진화적 관계

이동훈,김영준,강현삼,이병재 한국유전학회 1986 Genes & Genomics Vol.8 No.2

The nucleotide sequences of tRNAs were compared and the homologies between a pair of sequences were calculated. The homology is high between phylogenically related organisms, but low between eukaryote and prokaryote. The organelle's tRNA sequence shows very lower homology with chromosomal tRNA sequence. The homology and evolotionary distance was obtained by the method of Kimura (1980) with the sequences of chromosomal tRNAs which have the same anticodon (GUC) to compare orthologous genes. The phylogenic tree was constructed by unweighted pairgroup method using arithmatic average (UPGMA). The time of divergence of prokaryote and eukaryote was estimated to be 6.4×10^(10) years ago and the branching order in this phylogenic tree was in good agreement with that obtained by primary protein structures and 5S rRNA sequences.

1기 신도시 집값 명운 가른다 선도지구 지정 ‘복마전’

이동훈 뉴스핌 2024 ANDA Vol.101 No.-

어떤 언어가 한국의 사회갈등을 부추기는가? 사회범주 및 고정관념 의사소통 모형을 중심으로

이동훈 한국문화및사회문제심리학회 2024 한국심리학회지: 문화 및 사회문제 Vol.30 No.4

한국은 계층, 성별, 세대, 정치이념, 종교 등 다양한 이슈에 있어 높은 사회적 갈등을 경험하고 있다. 다양한 사회갈등의 현황과 유형을 파악하거나, 사회갈등의 구조적 특성에 따른 관리 방향을 거시적 관점에서 모색하는 정치, 행정, 사회학 분야의 연구는 적지 않지만, 개인들의 의사소통과정에서 사회갈등이 증폭되는 현상을 설명하는 심리학적 연구는 많지 않다. 본 논문은 한국의 사회갈등을 언어적 의사소통 관점에서 고찰하면서, 어떤 언어가 사회갈등을 조장하는지 그 심리적 메커니즘을 이해하는 것을 목표로 하였다. 이를 위해 최근 Beukeboom과 Burgers(2019)가 제안한 사회범주 및 고정관념 의사소통 모형(Social Category and Stereotypes Communication Framework)을 소개하고, 이 모형을 통해 의사소통 과정에 사용되는 언어적 명칭과 서술 편향이 어떻게 사회범주에 대한 고정관념을 형성하고 강화할 수 있는지 그 심리적 메커니즘을 살펴보았다. 그리고 이 모형을 한국 상황에 적용하여, 한국의 성별, 세대, 이념/정치적 갈등을 조장하는 몇 가지 언어적 명칭과 서술 편향을 살펴보면서 그 영향력을 고찰하였다. 마지막으로 대수롭지 않게 사용하는 언어의 미묘한 차이가 사회갈등을 증폭시킬 수 있음을 주장하면서, 앞으로 실증 연구를 통해 한국 사회에서 사용되는 언어적 명칭과 서술 편향의 효과를 과학적으로 검토할 필요가 있음을 제안하였다. Korea is experiencing significant social conflicts across various issues, including class, gender, generation, political ideology, and religion. While there are numerous studies in the fields of politics, administration, and sociology that aim to understand the current state and types of social conflicts or explore management strategies from a macro perspective based on the structural characteristics of these conflicts, there is a lack of psychological research explaining the phenomenon of social conflicts intensifying during individual communication processes. This paper aims to examine social conflicts in South Korea from the perspective of verbal communication, with the goal of understanding the psychological mechanisms behind language that triggers social conflicts. To achieve this, the Social Category and Stereotypes Communication Framework proposed by Beukeboom and Burgers (2019) is addressed and the psychological mechanisms are explored through which linguistic labels and descriptive biases used in communication can form and reinforce stereotypes related to social categories. The framework is then applied to the South Korean context, analyzing several linguistic labels and descriptive biases that fuel conflicts related to gender, generation, and ideology/politics in the country. Finally, this article asserts that subtle differences in carelessly used language can amplify social conflicts, emphasizing the need for future empirical research to scientifically examine the effects of linguistic labels and descriptive biases used in South Korean society.

Web Page Evaluation based on Implicit User Reactions and Neural Networks

이동훈,김재광,이지형 한국지능시스템학회 2012 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.12 No.2

This paper proposes a method for evaluating web pages by considering implicit user reaction on web pages. Usually users spend more time and make more reactions, such as clicking, dragging and scrolling, while reading interesting pages. Based on this observation, a web page evaluation method by observing implicit user reaction is proposed. The system is designed with Ajax for observing user reactions, and neural networks for learning correlation between user reactions and usefulness of pages. The amounts of each type of user reactions are inputted to neural networks. Also the numbers of characters and images of pages are used as inputs because the amount of users’ behaviors has a tendency to increase as the length of pages increase. The experiment is conducted with 113 people and 74 pages. Each page is ranked by users with a questionnaire. The proposed method shows more close ranking results to the user ranks than Google. That is, our system evaluates web pages more closely to users’ viewpoint than Google. Although our experiment is limited, our result shows powerful potential of new element for web page evaluation. Some approaches evaluate web pages with their contents and some evaluate web pages with structural attributes, particularly links, of pages. Web page evaluation is for users, so the best evaluation can be done by users themselves. So, user feedback is one of the most important factors for web page evaluation. This paper proposes a new method which reflects user feedbacks on web pages.

The Difference of Each Angiographic Finding After Multiple Stent According to Stent Type in Bilateral Vertebral Artery Dissection

이동훈,윤운기,백민우,김훈 대한뇌혈관외과학회 2013 Journal of Cerebrovascular and Endovascular Neuros Vol.15 No.3

We report a case of spontaneous bilateral intracranial vertebral artery dissecting aneurysms with subarachnoid hemorrhage. One dissecting lesion was treated with a coronary balloon-mounted stent (BMS) technique; however, due to differences in access route tortuosity, the other lesion was treated with a self-expandable stent (SES) technique. After 2 months, the angiographic outcome showed complete healing of the dissected segment on the side that was treated with BMS; in contrast, the dissection lesion appeared to be re-growing on the side that was treated with SES. Complete treatment of the aggravated lesion was achieved by additional deployment of BMSs. Therefore, we have provided a discussion of the possible reasons for this difference in outcome according to the stent type.

Optimal CO2 Enrichment Considering Emission from Soil for Cucumber Greenhouses

이동훈,이규승,조용진,최종명,김학진,정선옥 한국원예학회 2012 원예과학기술지 Vol.30 No.5

Reducing carbon dioxide (CO2) exhaust has become a major issue for society in the last few years,especially since the initial release of the Kyoto Protocol in 1997 that strictly limited the emissions of greenhouse gas for each country. One of the primary sectors affecting the levels of atmospheric greenhouse gases is agriculture where CO2 is not only consumed by plants but also produced from various types of soil and agricultural ecosystems including greenhouses. In greenhouse cultivation, CO2 concentration plays an essential role in the photosynthesis process of crops. Optimum control of greenhouse CO2 enrichment based on accurate monitoring of the added CO2 can improve profitability through efficient crop production and reduce environmental impact, compared to traditional management practices. In this study, a sensor-based control system that could estimate the required CO2 concentration considering emission from soil for cucumber greenhouses was developed and evaluated. The relative profitability index (RPI) was defined by the ratio of growth rate to supplied CO2. RPI for a greenhouse controlled at lower set point of CO2 concentration (500 µmol ․ mol-1) was greater than that of greenhouse at higher set point (800 µmol ․ mol-1). Evaluation tests to optimize CO2 enrichment concluded that the developed control system would be applicable not only to minimize over-exhaust of CO2 but also to maintain the crop profitability.

폐기물관리의 성공사례와 교훈: 무단투기 난지도시대부터 매립 제로(금지) 자원순환시대에 이르기까지

이동훈 한국폐기물자원순환학회 2023 추계학술연구발표회 Vol.2023 No.0

근로형태에 따른 Ferritin의 수준과 고혈압과의 연관성

이동훈 대한직업환경의학회 2017 대한직업환경의학회 학술대회 논문집 Vol.2017 No.11

이동로봇에서의 2D얼굴 영상을 이용한 사용자의 감정인식

이동훈,서상욱,고광은,심귀보 한국지능시스템학회 2006 한국지능시스템학회 학술발표 논문집 Vol.16 No.2

본 논문에서는 가정용 로봇 및 서비스 로봇과 같은 이동로봇에서 사용자의 감정을 인식하는 방법중 한가지인 얼굴영상을 이용한 감정인식 방법을 제안한다. 얼굴영상인식을 위하여 얼굴의 여러가지 특징(눈썹, 눈, 코, 입)의 움직임 및 위치를 이용하며, 이동로봇에서 움직이는 사용자를 인식하기 위한 움직임 추적 알고리즘을 구현하고, 획득된 사용자의 영상에서 얼굴영역 검출 알고리즘을 사용하여 얼굴 영역을 제외한 손과 배경 영상의 피부색은 제거한다. 검출된 얼굴영역의 거리에 따른 영상 확대 및 축소, 얼굴 각도에 따른 영상 회전변환 등의 정규화 작업을 거친 후 이동로봇에서는 항상 고정된 크기의 얼굴 영상을 획득 할 수 있도록 한다. 또한 기존의 특징점 추출이나 히스토그램을 이용한 감정인식 방법을 혼합하여 인간의 감성 인식 시스템을 모방한 로봇에서의 감정인식을 수행한다. 본 논문에서는 이러한 다중 특징점 추출 방식을 통하여 이동로봇에서의 얼굴 영상을 이용한 사용자의 감정인식 시스템을 제안한다.