• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2003년도 제2차 연례학술대회 발표논문집
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• pp.86-94
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• 2003

Electronically available biological literature has been accumulated exponentially in the course of time. So, researches on automatically acquiring knowledge from these tremendous data by text mining technology become more and more prosperous. However, most of the previous researches are technology oriented and are not well focused in practical extraction target, hence result in low performance and inconvenience for the bio-researchers to actually use. In this paper, we propose a more biology oriented target domain specific text mining system, that is, POSTECH bio-text mining system (POSBIOTM), for signal transduction pathway extraction, especially for G protein-coupled receptor (GPCR) pathway. To reflect more domain knowledge, we specify the concrete target for pathway extraction and define the minimal pathway domain ontology. Under this conceptual model, POSBIOTM extracts interactions and entities of pathways from the full biological articles using a machine learning oriented extraction method and visualizes the pathways using JDesigner module provided in the system biology workbench (SBW) [14]

• 한국지능시스템학회논문지
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• 제15권7호
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• pp.852-857
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• 2005

본 논문은 지능형 로봇 시스템을 위한 인간 몸의 하이브리드 실루엣 추출 기법을 제안한다. 지능형 로봇은 내부적인 진동과 낮은 해상도로 인해 강인한 실루엣 추출을 필요로 한다. 이를 극복하기 위해서 본 논문에서는 하이브리드 실루엣 추출 기법을 제안하였다. 하이브리드 실루엣은 영상간의 공간차 및 시간차 정보를 고려 생성되며 움직임 영역 모델을 통해 두 정보간의 중요성에 가중치를 준다. 최종적으로 실험결과를 통해 제안된 기법의 우수성을 확인하였다.

• Bioinformatics and Biosystems
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• 제1권1호
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• pp.51-60
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• 2006

The paradigm in biology is currently changing from that of conducting hypothesis-driven individual experiments to that of utilizing the results of a massive data analysis with appropriate computational tools. We present LayMap, an implemented visualization system that helps the user to deal with a high volume of the biomedical literature such as MEDLINE, through the layered maps that are constructed on the results of an information extraction system. LayMap also utilizes filtering and granularity for an enhanced view of the results. Since a biomedical information extraction system gives rise to a focused and effective way of slicing up the data space, the combined use of LayMap with such an information extraction system can help the user to navigate the data space in a speedy and guided manner. As a case study, we have applied the system to datasets of journal abstracts on 'MAPK pathway' and 'bufalin' from MEDLINE. With the proposed visualization, we have successfully rediscovered pathway maps of a reasonable quality for ERK, p38 and JNK. Furthermore, with respect to bufalin, we were able to identify the potentially interesting relation between the Chinese medicine Chan su and apoptosis with a high level of detail.

• 한국융합학회논문지
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• 제9권7호
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• pp.17-24
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• 2018

빅데이터 처리 분야에서 중요한 이슈 중 하나는 인터넷의 주요 키워드를 추출하고 이것을 이용하여 필요한 정보를 가공하는 것이다. 현재까지 제안된 대부분의 키워드 추출 방법들은 대형 포털 사이트의 검색기능을 기반으로 이미 게시된 글이나 작성된 문서 또는 고정된 내용에 기반하고 있다. 본 논문에서는 SNS에 게시되는 다양한 이슈, 대화, 관심 분야, 의견 등 동적인 메시지를 기반으로 이슈 키워드 및 연관 키워드를 추출하여 잠재적 쇼핑 연관 키워드 광고 마케팅에 도움을 주는 시스템(KAES: Keyword Advertisement Extraction System based on SNS)을 개발한다. KAES 시스템은 특정 계정 리스트를 작성하여 SNS에서 빈도수가 가장 많은 핵심 키워드 및 연관 키워드를 추출한다.

• 한국멀티미디어학회논문지
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• 제18권4호
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• pp.460-472
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• 2015

Most of previous visual attention system finds attention regions based on saliency map which is combined by multiple extracted features. The differences of these systems are in the methods of feature extraction and combination. This paper presents a new system which has an improvement in feature extraction method of color and motion, and in weight decision method of spatial and temporal features. Our system dynamically extracts one color which has the strongest response among two opponent colors, and detects the moving objects not moving pixels. As a combination method of spatial and temporal feature, the proposed system sets the weight dynamically by each features' relative activities. Comparative results show that our suggested feature extraction and integration method improved the detection rate of attention region.

• 한국식품과학회지
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• 제23권6호
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• pp.677-682
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• 1991

초임계 탄산가스를 추출용매로 사용하여 대두유를 추출하였다. 추출압력과 온도의 범위는 각각 3,000-7,000psig와 $40-70^{\circ}C$였다. 1g의 대두유를 추출하기 위하여 7,000psig, $60^{\circ}C$에서는 25l의 탄산가스가 필요하였으나, 3,000psig, $60^{\circ}C$에서는 250l가 소요되었다. 추출압력 6,000 psig 미만에서는 온도가 증가할수록 추출율이 감소하였고, 6,000psig에서는 온도에 관계없이 추출율이 일정한 반면, 6,000psig를 넘어서는 온도가 증가할수록 추출율도 증가하였다. 초임계탄산가스로 추출된 대유는 핵산으로 추출한 대우유보다 색도가 약하였으며 인지질의 함량도 매우 적었다. 지방산조정은 초임계 추출이 진행됨에 따라 변화하였다. 초임계탄산가스를 이용하여 대두유를 추출할 경우, 신속한 추출이 이루어지며, 탈검과 탈색의 정제공정을 삭제내지는 축소하여 정제유를 만들 수 있다.

• 전자공학회논문지B
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• 제30B권9호
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• pp.94-105
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• 1993

In this paper propose a Koaren character recognition system using a neural network is proposed. This system is a multilayer neural network based on the masking field model which consists of a input layer, four feature extraction layers which extracts type, direction, stroke, and connection features, and an output layer which gives us recognized character codes. First, 4x4 subpatterns of an NxN character pattern stored in the input buffer are applied into the feature extraction layers sequentially. Then, each of feature extraction layers extracts sequentially features such as type, direction, stroke, and connection, respectively. Type features for direction and connection are extracted by the type feature extraction layer, direction features for stroke by the direction feature extraction layer and stroke and connection features for stroke by the direction feature extraction layer and stroke and connection features for the recongnition of character by the stroke and the connection feature extractions layers, respectively. The stroke and connection features are saved in the sequential buffer layer sequentially and using these features the characters are recognized in the output layer. The recognition results of this system by tests with 8 single consonants and 6 single vowels are promising.

• 한국태양에너지학회 논문집
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• 제31권6호
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• pp.66-71
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• 2011

Various single solvents were tested to find the effective solvent for the extraction of algae oil from wet-form Chlorella minutissima. In the case of single solvents, their extractabilities for algae oil were increased with their polarity because the water in wet algae cell is to form a solvent shell around the lipids. Based on these results, the wet-form algae samples were treated with a polar alcohol solvent and then a nonpolar solvent was added in algae residue. In the algae oil extraction by ethanol/n-hexane, total lipid contents were 40-50% and composition of triglyceride in extracted oil was 46.50%. Considering solvent toxicity of conventional solvent mixture such as chloroform and methanol for algae oil extraction, the ethanol/n-hexane system was identified as the effective one for the oil extraction from wet-form Chlorella minutissima.

• International Journal of Safety
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• 제4권2호
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• pp.30-35
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• 2005

In case of tunnel fire, one of the most effective facilities to save lives is the smoke control system. In this study, two different smoke extraction schemes of transversely ventilated tunnel were compared. One is the smoke extraction using the fixed exhaust ports on the false ceiling to achieve the uniform and distributed smoke extraction (uniform exhaust). The other is that using the remote controlled smoke extraction where only vents close to the fire is opened whereas the others are closed to enhance the limitation of the smoke spread (localized exhaust). A number of numerical simulations were performed to find out the optimal smoke extraction rate at each smoke extraction scheme to allow the tunnel users to escape to the safe area without endangering their lives by smoke.

• 한국컴퓨터정보학회논문지
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• 제21권2호
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• pp.79-88
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• 2016

In this paper, we propose an efficient automatic observation system for cloud amount and height observations. Observation system consists of clouds observations machinery, operational programs, cloud amount extraction program, cloud height extraction program, expert support programs. The experiment was conducted at the Daegwallyeong and Busan, through experimental observation confirmed the usefulness of the proposed system.