A Study on the Metrical Theory of English Accentuation

柳道一 明知大學校 人文大學 英語英文學科 1986 Veritas Vol.- No.4

운율이론이 생성음운론의 순환규칙보다 간결성과 설명력에 있어서 월등히 앞선다. 더욱이 SPE 등에서 설명하기 어려웠던 강세구조의 현상에 관련된 새로운 규칙설정과 그에 따른 설명은 중요한 발전이다. 이것은 특히 운율이론이 강약의 대립이 음절에서만 단선적으로 규정되는 단선음운론이 아니라 음절군인 음보, 어휘, 구 모두에서 계층적으로 규정되는 복선음운론이기 때문에 설명력을 더 할 수 있다. 운율이론은 그 규칙설정에 있어서 intuition이 자주 거론됨을 볼때 English native speaker들의 강세에 대한 직관을 어느 정도까지 구체화시켜 그 심리적 실체를 파악해 볼 수 있다는 점에서 특히 영어를 외국어로 습득하는 사람들에게 강한 설득력을 가질 수 있다고 보아 영어강세에 대한 교육자료로 연구되는 것도 바람직할 것으로 본다.

Vegetable Price Prediction Using Unstructured Web-Based Data: An Application to Garlic, Onion, and Pepper in Korea

유도일 한국농업경제학회 2016 農業經濟硏究 Vol.57 No.4

Focusing on the recent Big-Data boom, we develop vegetable price prediction models incorporating unstructured web-based data obtained from various online web-sites such as news, blogs, cafes, and so on. For empirical analysis, we employ Bayesian structural time series (BSTS) models with four unstructured indices using a text-mining tool, Textom; the amount of buzzwords, the amount of search keywords, the 'term frequency-inverse document frequency' (TF-IDF), and the 'degree-centrality-weighted term frequency' (DCTF). Then, the models are applied to three vegetable products of garlic, onion, and pepper in Korea. Results show that prediction performances can be remarkably improved by the introduction of unstructured indices for all products. The degree of improvement and the selection of unstructured indices can vary by vegetable products with their market and web-based environments.

국내외 데이터 산업의 현황과 경쟁력 제고 방안

유도일,김관수,안동환,임예린,최하연,강승용,국윤서 한국농촌경제연구원 2022 한국농촌경제연구원 기타연구보고서 Vol.- No.-

농업인 교육 참여 농가의 스마트팜 도입 의도 결정 요인: 농가유형별 상호작용 효과 분석

유도일,유승완,양희수,홍석호,최지훈,민지식 한국농·산업교육학회 2021 농업교육과 인적자원개발 Vol.53 No.4

The purpose of this study is to identify determinant factors influencing the intention to smart farm adoption using the 5th wave dataset of Agricultural Industry Education Panel Survey, which has been investigated since 2014. It was appropriate data to achieve the research goal because it includes target samples who participated in overall farmers' education. Also, we constructed interaction model to confirm the effect of farm type as a moderater. The coefficient of determinants of Model 3 including interaction term was more suitable than Model 1 and Model 2. As a result, facility farms intention to smart farm adoption tend to decrease further with age. On the other hand, when education satisfaction was high, it increased. Through these results, we suggest that researchers consider more detailed farm characteristic variables at the control variable level. Second, in addition to smart farm education, it is necessary to continuously manage the qualitative aspects of education for farmers. Third, support policies on adopting stage of smart farm should be diversified according to characteristics such as farm types and Crops. Also, it was suggested that it is necessary to clarify the limitations and scope of technology in terms of the research. In terms of smart farm adoption, “Smart Farm Technology”is still unclear and varies depending on the situation. 본 연구는 농가의 스마트팜 도입 의도를 종속변수로 하여 이에 영향을 미치는 요인을 확인한다. 특히 소득, 연령, 교육 만족도와 스마트팜 도입 의도의 관계에서 농가 유형별 차이를 살펴본다. 이를 위해 농림수산식품교육문화정보원에서 2014년부터 조사되고 있는 ‘농산업교육 패널조사’ 데이터의 5차년도 자료를 활용하였다. 상호작용항을 투입한 모형 3은 모형 1과 모형 2보다 결정계수가 우수하여 최종 모형으로 모형 3을 선택하였다. 연구결과를 종합하면, 상호작용항을 투입한 모형3에서 농사일가족비중이 높은 경우 스마트팜 도입 의도가 더 높았으며, 학습성과가 높은 경우에도 스마트팜 도입 의도가 높게 나타났다. 통제변수에서는 인력고용 등 농업의 형태와 관련 있는 통제변수가 유의하였으며, 스마트팜 도입 의도에 정(+)적으로 영향을 미치는 것으로 나타났다. 조절변수의 경우 모형 1,2,3을 검토한 결과, 스마트팜 도입 의도는 연령이 높아질수록 더 감소하는 경향이 있는 것은 아니나, 특히 시설 농가의 경우에 더 큰 폭으로 감소하며 교육의 경우에도 교육 참여 후 만족도가 높은 시설 유형 농가의 경우 스마트팜 도입 의도가 더 높다고 이해할 수 있다. 본 연구 결과를 통한 결론으로는 첫째, 스마트팜 도입과 관련된 분석에서 농가 특성 변인이 통제변수 수준에서 포함되어야 할 필요가 있다. 둘째, 스마트팜 교육 외에도 농업인을 대상으로 한 교육의 질적 측면을 지속적으로 관리해야 한다. 셋째, 품목에 따른 농가 유형 등의 특성에 따라 스마트팜 지원에 따른 지원정책이 다각화되어야 한다. 이를 바탕으로 후속연구를 위한 제언으로는 연구대상의 측면에서의 한계와 기술의 범위를 명확히 할 필요가 있다는 점을 제시하였다.

An Analysis of the Merical Structure in the Tree-&-Grid Theory

柳道一 明知大學校 人文大學 英語英文學科 1994 Veritas Vol.- No.7

세계 주류시장 동향

유도일 한국농촌경제연구원 2013 세계농업 Vol.160 No.-

Forest Carbon Sequestration under the U.S. Biofuel Energy Policies and its Implications for Korea

유도일 한국농업경제학회 2013 農業經濟硏究 Vol.54 No.1

This paper analyzes impacts of the U.S. biofuel energy policies on annual additions to carbon stored in harvested wood products (HWP) and finds their implications for Korea. The annual addition is termed the HWP Contribution to forest sector sinks for U.S. national greenhouse gas (GHG) sinks and emissions reporting under the United Nations Framework Convention on Climate Change. Estimation for HWP Contribution includes annual carbon additions to wood and paper products in use and in solid-waste disposal sites (SWDS). For this analysis, we hypothesize four alternative scenarios using the existing and pending U.S. energy policies where biofuels contribute different shares to total energy consumption. The U.S. forest products production and trade are projected to 2030 under each scenario using the U.S. Forest Products Module (USFPM), operating within the Global Forest Products Model (GFPM). Based on these projections, we estimate HWP Contributions under the Production-, the Stock Change-, and the Atmospheric Flow- Approaches provided by Intergovernmental Panel on Climate Change (IPCC) Guidelines for National Greenhouse Gas Inventories using the WOODCARB II model developed by the USDA Forest Service Forest Products Laboratory (FPL). Our estimates of HWP Contribution for the Production Approach in 2009 are somewhat higher than reported by the U.S. Environmental Protection Agency (EPA) in 2011 (e.g., 22.64 Tg C/year vs. 14.80 Tg C/year) because assumptions for the USFPM/GFPM project housing recovery and wood consumption are greater than actual data for 2009. Projections to 2030 show that HWP Contribution under the Stock Change Approach is projected to be the lowest of the three approaches after 2009, which was the highest before 2009. The Stock Change Approach estimate is lower due to declining net imports. Even though scenarios differ in level of fuel wood consumption, there is not a large difference across scenarios in timber products production and trade. As a result, there are small differences in HWP Contribution estimates under all approaches across alternative scenarios. The reason of little change in production and trade is that fuelwood expansion is accommodated mostly by differing increases of logging residue with relatively little difference in impact on other wood products production and trade.

영화선정에 관한 기준: 단어결합체를 중심으로

유도형 영상영어교육학회 2015 영상영어교육 (STEM journal) Vol.16 No.1

This paper is concerned with the criteria for movie selection for effective teaching and learning when using movie materials in language classrooms. Existing research suggests criteria for movie selection without considering the level of language difficulty. This research proposes the concept ‘word combinations’ as a basis for selection. Three scenes from the animation Toy Story 3 were selected as research material. The concepts of fusion and formulaic sequence were used as the basis for what constituted ‘word combinations.’ The number of words in one word combination was counted according to magic number 7 ±. In addition, occurrences of syntactic irregularity and semantic irregularity in Toy Story 3 were calculated. The findings showed that the three scenes in this animation all have more than 90% word combinations, exceeding the 70% word combinations of L1 adult conversations. The average number of words in one word combination was around 3, which means they were not difficult to learn. Also no syntactic irregularities and only one semantic irregularity were found. Consequently, the concept of word combination turned out to be a good criterion to decide the level of difficulty.

骨折 및 Cortisone, DOCA 投與가 骨組織內 glutamic acid 代謝에 미치는 影響

劉道順,李震淳 中央醫學社 1967 中央醫學 Vol.13 No.3

Mice were subjected to investigate the changes in metabolism of glutamic acid'-C14 following bone fracture on left femur and administration of cortisone and DOCA in vivo and in vitro. In vivo experiment 1. 5mg of cortisone acetate and 0. 3m g of DOCA were infected to each mouse hypodermally in 3 days and closed bone fracture was performed just after the last injection. Two days after bone fracture mouse was sacrificed by decapitation and both femur were isolated to pulverize in mortar and homogenize with incubation media containing glutamic acid-C14. In the case of in vitro experiment, two days after bone fracture, mouse was sacrificed and both femurs were taken out in order to incubate with cortisone and DOCA for 24 hours. After incubation with steroids the bone was pulverized and homogenized to incubate with incubation media containing glutamic acid-C14. After the incubation determinations of CO2 production rate and specific activity of respiratory CO2, amount of protein, specific activity of protein and specific activity of non- protein filtrate, were performed by means of chemical balancing and radioactivity counting. The result of this experiment was as follow. 1. The production of CO2 was increased by bone specific activity of CO2 was decreased. 2. The content of protein and specific activity of protein were increased by bone fracture, while decreased by cortisone. 3. The radioactivity of non-protein filtrate was decreased by bone fracture and was increased by cortisone 4. DOCA did not bring any significant change in every aspect and the effect of cortisone in vivo did not differ from in vitro.

농생명산업 바이오테크놀로지 융ㆍ복합 R&D 클러스터 분석

유도일(Do-il Yoo),이동훈(Dong-Hoon Lee),김관수(Kwansoo Kim) 한국바이오경제학회 2019 바이오경제연구 Vol.2 No.1

본 연구는 농생명산업 분야 바이오테크놀로지 융·복합 R&D가 4차 산업혁명 시대에 얼마나 부합하는지를 분석하여 관련 시사점을 제시하고자 하는데 그 목적을 둔다. 이를 위해 농촌진흥청의 ‘농촌진흥사업 종합관리시스템(ATIS)’에서 2013년부터 2018년까지 수행된 2,797개 R&D 과제들을 발굴하고 4차 산업혁명의 키워드로 대두되는 인공지능(AI), 사물인터넷(IoT), 사이버 물리 시스템(CPS), 빅 데이터(Big Data)에 대한 텍스트 마이닝 기법을 활용하여 정량지표를 산출한다. 나아가 추출 및 집계된 R&D 과제 데이터베이스 및 정량지표를 대상으로 다차원척도법(MDS)을 적용하여 융ㆍ복합 R&D 과제들이 세부 기준에 따라 어떠한 클러스터를 형성하는지를 파악한다. MDS를 통한 최종 분석 결과는 R&D 과제 간 유사성 및 비유사성으로 구분되어 시각적으로 도식된다. A multidimensional scaling (MDS) approach is used in analyzing similarities and/or dissimilarities among agricultural R&D projects based on various indices concerning a wave of the fourth industrial revolution. We draw 2,797 RFPs (Requests for Proposal) provided by Rural Development Administration via Agriculture Science Technology Information System from 2013 through 2018. Based on a text-mining method, we construct unique indices for consistency accounting for four key words such as artificial intelligence, big data, cyber physics system, and internet of things. Results show that the application of MDS to agricultural R&D projects with consistency indices illustrates how agricultural R&D projects are different or similar with each other in terms of the application of the fourth industrial revolution technologies.