• 한국약용작물학회지
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• 제10권2호
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• pp.126-131
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• 2002

황칠수액 분비량을 개체 및 서식지별 차이가 있는지를 검토하고, 차이가 있다면 이를 토대로 서식환경 및 우수개체선발을 위한 기초자료를 수집하고자 하였다. 황칠수액 분비량을 기준으로 우수개체를 선발하고 선발 개체군을 중심으로 주요 방향성 정유성분의 동정 및 분포 양상을 조사하였다. 황칠나무 수액은 서식지별, 수령 및 개체별 차이가 확인되었으며, 분비량을 기준으로 우수개체를 선발하였다. 선발된 개체에서의 주요 정유성분에서${\beta}-elemene,\;germacrene-D,\;{\beta}-selinene,\;{\alpha}-selinene,\;{\gamma}-cardinene,\;{\delta}-cadinene$ 등이 었으며, 그 중에서도 germacrene D가 주요 구성성분임이 확인되었다. 선발개체의 주요 정유성분의 구성비율은 서식지별 및 각 개체별 차이가 존재하였다.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2012년도 제42회 동계 정기 학술대회 초록집
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• pp.183-183
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• 2012

In the era of 45 nm or beyond technology, conventional etch mask using photoresist showed its limitation of etch mask pattern collapse as well as pattern erosion, thus hard mask in etching became necessary for precise control of etch pattern geometry. Currently available hard mask materials are amorphous carbon and polymetric materials spin-on containing carbon or silicon. Amorphous carbon layer (ACL) deposited by PECVD for etch hard mask has appeared in manufacturing, but spin-on carbon (SOC) was also suggested to alleviate concerns of particle, throughput, and cost of ownership (COO) [1]. SOC provides some benefits of reduced process steps, but it also faced with wiggling on a sidewall profile. Diamond like carbon (DLC) was also evaluated for substituting ACL, but etching selectivity of ACL was better than DLC although DLC has superior optical property [2]. Developing a novel material for pattern hard mask is very important in material research, but it is also worthwhile eliminating a potential issue to continuously develop currently existing technology. In this paper, we investigated in-situ dry-cleaning (ISD) monitoring of ACL coated process chamber. End time detection of chamber cleaning not only provides a confidence that the process chamber is being cleaned, but also contributes to minimize wait time waste (WOW). Employing Challenger 300ST, a 300mm ACL PECVD manufactured by TES, a series of experimental chamber cleaning runs was performed after several deposition processes in the deposited film thickness of $2000{\AA}$ and $5000{\AA}$. Ar Actinometry and principle component analysis (PCA) were applied to derive integrated and intuitive trace signal, and the result showed that previously operated cleaning run time can be reduced by more than 20% by employing real-time monitoring in ISD process.

• Journal of Animal Science and Technology
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• 제56권5호
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• pp.16.1-16.9
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• 2014

Fatty acids (FA) have recently been used in several studies to infer the diet in a number of species. While these studies have been largely successful, most have dealt with predators that have a fairly specialized diet. In this paper, we used FA analysis as a tool to infer the diet of the nearctic river otter (Lontra canadensis). The river otter is an opportunistic predator known to subsist on a wide variety of prey including, fishes, crayfish, molluscs, reptiles and amphibians, among others. We analyzed the principle components of 60 FA from otters and 25 potential prey species in Illinois, USA. Prey species came from 4 major taxonomic divisions: fishes, crayfish, molluscs and amphibians. Within each division, most, but not all, species had significantly different profiles. Using quantitative FA signature analysis, our results suggest that, by mass, fish species are the most significant component of Illinois River otters' diet ($37.7{\pm}1.0%$). Molluscs ranked second ($32.0{\pm}0.8%$), followed by amphibians ($27.3{\pm}4.3%$), and finally, crayfish ($3.0{\pm}0.6%$). Our analysis indicates that molluscs make up a larger portion of the otter diet than previously reported. Throughout much of the Midwest there have been numerous otter reintroduction efforts, many of which appear to be successful. In regions where mollusc species are endangered, these data are essential for management agencies to better understand the potential impact of otters on these species. Our analysis further suggests that quantitative FA signature analysis can be used to infer diet even when prey species are diverse, to the extent that their FA profiles differ. Better understanding of the otter's metabolism of FA would improve inferences of diet from FA analysis.

• 대한화학회지
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• 제51권6호
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• pp.577-584
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• 2007

본 연구에서는 대기 중에서 물의 증발이나 얼음의 승화와 같은 물의 상태 변화를 물의 상평형 그 림을 이용하여 어떻게 설명할 수 있는지를 제시하고자 하였다. 물의 상평형 그림은 1성분계의 상평형을 나타 낸 것이므로 원칙적으로 물만 존재하는 경우에 사용할 수 있는 것이다. 공기가 존재하는 경우에는 액체 물 또 는 고체 얼음이 있으면 항상 공기 중에 수증기가 공존하게 되며, 이 때 물 또는 얼음의 압력은 공기 중 수증 기의 부분 압력과 일치하지 않기 때문에 상평형 그림에 하나의 점으로 그 상태를 나타낼 수 없다. 그러나 공 기가 존재하는 경우에도 포화 수증기압은 물만 존재하는 경우와 거의 차이가 없으므로 상평형 그림의 증기 압 력 곡선과 승화 곡선을 이용하여 대기 중에서 물의 증발과 얼음의 승화를 설명할 수 있음을 논의하였다.

• Nuclear Engineering and Technology
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• 제27권1호
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• pp.84-95
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• 1995

Application of computer software to safety-critical systems is on the increase. To be successful, the software must be designed and constructed to meet the functional and performance requirements of the system. For safety reason, the software must be demonstrated not only to meet these requirements, but also to operate safely as a component within the system. For longer-term cost consideration, the software must be designed and structured to ease future maintenance and modifications. This paper present a software engineering process for the production of safety-critical software for a nuclear power plant The presentation is expository in nature of a viable high quality safety-critical software development. It is based on the ideas of a rational design process and on the experience of the adaptation of such process in the production of the safety-critical software for the Shutdown System Number Two of Wolsong 2, 3 & 4 nuclear power generation plants. This process is significantly different from a conventional process in terms of rigorous software development phases and software design techniques. The process covers documentation, design, verification and testing using mathematically precise notations and highly reviewable tabular format to specify software requirements and software design. These specifications allow rigorous, stepwise verification of software design against software requirements, and code against software design using static analysis. The software engineering process described in this paper applies the principle of information-hiding decomposition in software design using a modular design technique so that when a change is' required or an error is detected, the affected scope can be readily and confidently located. It also facilitates a sense of high degree of confidence in the ‘correctness’ of the software production, and provides a relatively simple and straightforward code implementation effort.

• 디지털산업정보학회논문지
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• 제7권4호
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• pp.183-198
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• 2011

With the recent development of IT technology, the existing contents have been digitalized through various distribution channels. Accordingly, a lot of studies have been done in order to figure out the distribution and features of digital contents, In these studies, however, categorical characteristics of digital contents were not considered ; most of the previous researchers saw digital contents as only a single item or focused on some contents within particular part such as movie, music, etc. So, this study divides digital contents into movies, music and texts. I was going to study which factors affect Customer Satisfaction in relation with the kind of contents. With SERVQUAL as independent variables, which affect the Customer satisfaction, I used five factors :Design Quality, Information Quality, Security Quality, Communication Quality and Transaction Quality. As for the detailed items, I corrected them with Open-End Question and Pre Survey Research, which are more fit into the features of digital contents. This research conducted Principle Component Analysis, Reliability Test, Correlation Analysis and Regression Analysis. I verified that each factor of Service Qualities has a positive effect on Customer Satisfaction. Moreover, the factors of the effect are different according to the kind of digital contents. This paper was added Exploratory Study to find the best distribute channel. For the study, I search the possible distribute channel in each digital contents and their characteristic.

• 대한공간정보학회지
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• 제11권2호
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• pp.47-52
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• 2003

변화탐지 기법은 지표상의 중요하거나 시간에 따른 작은 변화에 대하여 효율적으로 인지를 할 수 있는 방법으로 원격탐사 기술을 이용하는 중요한 응용 분야 중에 하나이다. 현장 조사 자료와 원격탐사 자료를 복합적으로 활용을 하면 주기적이며 장기적인 관측을 보다 효과적으로 수행을 할 수 있다. 본 연구에서는 이러한 변화탐지 기법을 LANDSAT TM 위성영상을 이용하여 홍수지역의 침수에 따른 변화지역 인지에 적용하였다. 연구지역은 한반도 낙동강 하류 지역이며, 여러 가지 변화탐지 기법 중에 change vector analysis(CVA)를 중심으로 하여 주성분분석, 화상 대차법을 각각 적용하였으며, 이를 비교하였다. CVA는 영상의 여러 밴드를 이용하여 변화에 대한 크기와 방향의 정보를 제공한다는 장점이 있다. 각각의 변화탐지 기법을 정확도 평가를 통하여 비교한 결과, CVA에 의한 방법이 overall accuracy 97.27%, Kappa 계수 94.45%로 가장 높은 정확도를 나타냈다. 본 연구를 통하여 홍수지역의 변화탐지에 대하여 효율적인 변화탐지 기법을 제안할 수 있다고 기대한다.

• 경영과학
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• 제31권3호
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• pp.113-130
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• 2014

Cooperative coevolutionary algorithm (CCEA) has proven to be a very powerful means of solving optimization problems through problem decomposition. CCEA implies the use of several populations, each population having the aim of finding a partial solution for a component of the considered problem. Populations evolve separately and they interact only when individuals are evaluated. Interactions are made to obtain complete solutions by combining partial solutions, or collaborators, from each of the populations. In this respect, we can think of various interaction modes. The goal of this research is to develop a CCEA for a supply chain network design (SCND) problem and identify which interaction mode gives the best performance for this problem. We present general design principle of CCEA for the SCND problem, which require several co-evolving populations. We classify these populations into two groups and classify the collaborator selection scheme into two types, the random-based one and the best fitness-based one. By combining both two groups of population and two types of collaborator selection schemes, we consider four possible interaction modes. We also consider two modes of updating populations, the sequential mode and the parallel mode. Therefore, by combining both four possible interaction modes and two modes of updating populations, we investigate seven possible solution algorithms. Experiments for each of these solution algorithms are conducted on a few test problems. The results show that the mode of the best fitness-based collaborator applied to both groups of populations combined with the sequential update mode outperforms the other modes for all the test problems.

• 한국콘텐츠학회논문지
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• 제6권11호
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• pp.161-171
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• 2006

색채는 시각이미지 표현의 중요한 조형요소로서 그 표현력이 증대되고 있다. 그러나 색채의 가변적인 특성과 함께 화면 내에서 조응하는 다른 조형요소와의 관계성은 색채의 효과적인 표현을 어렵게 한다. 디즈니사에서 제작된 <뮬란>과 <라이온 킹>에 나타난 그림스타일은 색채사용에 있어서 상당한 표현상의 차이가 있다. 두 작품의 색채사용에 대한 차이점과 그 원리를 규명하여 색채를 적절히 활용할 수 있는 방안을 세우고자 한다. 연구 방법으로는 색채가 가지고 있는 표현적인 특성을 다른 조형요소들과의 관계 속에서 어떻게 활성화시킬 수 있는가의 문제에 초점을 맞추었다. 결론적으로 색채는 빛의 속성 중 하나이지만 빛의 또 다른 속성인 밝고 어두움, 즉 콘트라스트(contrast)에 가장 큰 영향을 받는다는 것이다. 이것은 조형의 질서를 구축하는데 우선적으로 고려해야 할 사항 중 하나이다. 따라서 색채의 표현적인 특성을 강조하기 위해서는 다른 조형요소들과의 관계를 조절해야 하고 특히 명도와 형태의 표현적인 힘을 약화시켰을 때 가능해 진다.

• 동아시아식생활학회지
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• 제27권4호
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• pp.365-377
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• 2017

The objective of this study was to investigate the sensory quality characteristics of coffee under various processing and roasting conditions of green beans. Colombia green bean samples were obtained from three processing methods: natural, pulped-natural, and washed methods. The green beans were roasted differently according to Agtron number: light (Agrton #65), medium (Agtron #55), and dark (Agtron #45). Moisture content, density, color value, pH, and total dissolved solid contents (TDS) were measured, and quantitative descriptive analysis (QDA) with 23 sensory attributes was performed for nine coffee samples. Hunter L values were significantly elevated with the degree of processing but reduced with roasting intensity. The pH values of the nine coffee samples were 5.6~6.2 and significantly increased with intensity of roasting. TDS decreased with an increase in processing and increased with roasting intensity. QDA results show that smoky aroma and nutty and chocolate flavor significantly increased while fruit and floral aroma decreased with intensity of processing. The attributes of brownness, oily surface, smoky aroma, bitter and burnt flavor, and greasy and heavy mouthfeel significantly increased while fruity and floral aroma, black tea, sour and umami flavor, pureness, and softness decreased as roasting intensity increased. Principle component analysis showed the overall significant relationships between 23 sensory attributes and nine coffee samples under different processing and roasting conditions.