• Title/Summary/Keyword: 정제과정

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Developing the SOA-based Dirty Data Cleansing Service (SOA에서의 오류 데이터 정제를 위한 서비스 개발)

  • Ji, Eun-Mi;Choi, Byoung-Ju;Lee, Jung-Won
    • Proceedings of the Korea Information Processing Society Conference
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    • 2007.05a
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    • pp.649-652
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    • 2007
  • 최근 e-Business 어플리케이션을 통합하기 위한 개념으로 서비스 지향구조 (Service Oriented Architecture)에 기본 원리를 둔 분산 소프트웨어 통합 기술이 널리 확산되고 있다. 따라서 각 서비스간의 데이터 정제기법을 통한 신뢰성 있는 데이터 교환은 필수적 요소로 자리 잡고 있다. 본 논문에서는 시스템에 상호작용 시 교환되는 데이터의 오류를 탐지하고 정제하기 위한 서비스로 사용자의 데이터 제약조건을 결합 시키는 변환 과정, 오류를 탐지하는 탐지과정, 탐지된 오류를 정제하고, 정보를 보여주는 정제과정으로 이루어진 오류 데이터 정제 서비스(DDCS; Dirty Data Cleansing Service)를 구현하고, 이를 이용하여 SOA기반 ESB상에서 통합된 시스템들 간에 상호 작용하는 오류 데이터 정제를 보장하는 서비스를 개발한다.

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A Study on Physicochemical Properties and Components of Bamboo oil from Phyllostachys nigra var. henonis by refining process (정제과정에 따른 대나무기름의 물리화학적 특성 및 성분에 관한 연구)

  • Na, Myung-Sun;Choi, Hyun-Suk;Lee, Myung-Yul;Ryu, Seong-Ryeol;Park, Seung-Kyu;Choe, Yong Deok;Piao, Yu Lan;Choi, DuBok;Shin, Dae-Yewn
    • Applied Chemistry for Engineering
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    • v.19 no.1
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    • pp.129-132
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    • 2008
  • The purposes of this study were to investigate the physicochemical properties and component values of bamboo oil from Phyllostachys nigra var. henonis obtained by refining process. The tar concentration in the refined bamboo oil (RBO) was decreased to about 78% compared to crude Bamboo oil (CBO). The chromaticities of light, red, and yellow in RBO were 92.4 and 3.0, respectively. This result indicates that the chromaticity of light was increased with the decrease in the tar concentration in the Bamboo oil. The total concentrations of organic acid and phenolics compound in RBO were decreased to about 63% and 80%, respectively. The total concentration of free sugars was decreased to about 78% in RBO and the concentration of free sugar was in the order of lactose, fructose, and glucose. The palmitoleic acid and stearic acid concentrations were higher than that of other fatty acids. The concentration of total organic acid was decreased to about 88% through RBO. Among the various organic acids, the formic acid concentration was highest in the RBO. The minerals concentrations in the CBO were in the order of Ca, K, Na, and Fe. On the other hand, in the case of RBO, it was in the order of Ca, Fe, K, and Na.

Preteus mirabilis 가 생산하는 cysteinylglycine 분해효소의 정제에 관한 연구

  • 최신양;일본명;일본명;유주현
    • Proceedings of the Korean Society for Applied Microbiology Conference
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    • 1986.12a
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    • pp.526.1-526
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    • 1986
  • 세균내 glutathione의 동태를 연구하기 위한 일환으로 P. mirabilis로부터 cysteinylglycine 분해효소를 정제 검토하였다. 본 균이 생산하는 cysteinylglycine 분해효소의 정제는 무세포추출액에 비해 비활성이 10배 증가하였고 0.68%의 낮은 수율을 나타내었다. 본 호소는 (NH$_4$)$_2$ SO$_4$ 침전과정에서 활성을 크게 손실하는 등 정제과정에서 불안정하였으며 투석 중에 형성하는 불용성 침전물은 4% Trition X-100 처리에 의해 효과적으로 용해되었다.

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A Model Translator for Checking Behavioral Consistency of Abstract Components (모델기반 컴포넌트 정제 과정의 행위 일관성 검증을 위한 변환기)

  • Jang, Hoon;Park, Min-Gyu;Choi, Yun-Ja
    • The KIPS Transactions:PartD
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    • v.18D no.6
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    • pp.443-450
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    • 2011
  • Model-based Component development methodologies consider the whole system as an component and develop physical components through recursive decomposition and refinements of components in a top-down manner. We developed a model translator that can be used to formally verify interaction consistency among components, especially the interaction behavior between before- and after- refinements of components. This translator can be used to identify potential problems in the refinement process so that problems can be addressed from the early stage of development. This paper introduces our translation approach and the organization of the translator. The translator has been applied to two case studies to show its usefulness.

A Study on Unstructured text data Post-processing Methodology using Stopword Thesaurus (불용어 시소러스를 이용한 비정형 텍스트 데이터 후처리 방법론에 관한 연구)

  • Won-Jo Lee
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.935-940
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    • 2023
  • Most text data collected through web scraping for artificial intelligence and big data analysis is generally large and unstructured, so a purification process is required for big data analysis. The process becomes structured data that can be analyzed through a heuristic pre-processing refining step and a post-processing machine refining step. Therefore, in this study, in the post-processing machine refining process, the Korean dictionary and the stopword dictionary are used to extract vocabularies for frequency analysis for word cloud analysis. In this process, "user-defined stopwords" are used to efficiently remove stopwords that were not removed. We propose a methodology for applying the "thesaurus" and examine the pros and cons of the proposed refining method through a case analysis using the "user-defined stop word thesaurus" technique proposed to complement the problems of the existing "stop word dictionary" method with R's word cloud technique. We present comparative verification and suggest the effectiveness of practical application of the proposed methodology.

한국의 유황 및 황산 수급전망

  • Shin, Jae-Sung
    • Proceedings of the Mineralogical Society of Korea Conference
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    • 1996.10a
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    • pp.73-80
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    • 1996
  • 유황 및 황산은 비료공업을 위시하여 기초 화학분야의 주요 원료로서 우리의 생활과 밀접한 관계가 있는 물질이다. 유황 및 황산의 주요 공급원은 유황광물의 제련 및 석유 정제과정의 부산물로 산출된다 환경규제가 엄격하게 시행되어 앞으로 석유 정제과정에서 부생되는 유황 생산량은 급속히 증가 될 것으로 예측된다. 1997년 622천 톤으로 추정되는 공급은 수요량에 접근할 것으로 예상되나 1998년 이후는 수요가 증가되면서 내수 수급간의 차이가 커질 것으로 전망된다.

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A Model Translator for Behavioral Consistency Checking of Abstract Component (컴포넌트 모델 정제 과정의 행위 일관성 검증을 위한 모델 변환기)

  • Jang, Hoon;Choi, Yunja
    • Proceedings of the Korea Information Processing Society Conference
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    • 2009.11a
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    • pp.845-846
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    • 2009
  • 컴포넌트 기반 개발 방법은 컴포넌트의 재사용으로 인한 개발 비용의 절감뿐만 아니라, 컴포넌트 분석의 재사용으로 인한 검증비용의 절감과 시스템의 질적 향상을 도모할 수 있는 장점을 지니고 있는 반면, 컴포넌트들간 상호작용의 복잡도의 증대로 인한 결함률이 높아질 수 있다. 본 연구에서는 모델 기반 컴포넌트 개발기법을 근간으로한 컴포넌트 정제 과정에서 정제 전, 후의 추상컴포넌트들 간의 행위 일관성을 정형분석하기 위한 모델 변환기를 개발하였다. 이 모델변환기는 컴포넌트의 정제과정 전 단계에 걸쳐 사용되어 컴포넌트 간의 상호작용으로 인한 잠재적인 결함을 조기에 발견하고 해결하는 데 기여할 수 있다.

Physical Property and Extraction of Squalene and Alkoxyglycerol from Shark Liver Oil (상어간유에서 스쿠알렌과 알콕시글리세롤의 물성 및 추출)

  • Lee, Su Il;Heo, Hyo Jung;Row, Kyung Ho
    • Korean Chemical Engineering Research
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    • v.49 no.5
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    • pp.617-622
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    • 2011
  • A simple method has been successfully applied to extract squalene and its byproducts alkoxyglycerol from deep-sea shark liver oil. GC-MS was used to determine the extraction amount of the squalene and alkoxyglycerol, and the content of them in rough product and refined product were compared. The physical property of squalene was identified by measuring the pH value, peroxide value and iodine value. Under optimum extraction conditions, the amount of squalene and alkoxyglycerol increased 35.0% and 21.9%, respectively, while the amount of fatty acid decreased from 61% to 4%, especially, the amount of palmitic acid and oleic acid remarkably decreased. Large amount of peroxide and acid were removed from shark liver oil after refining process. Because squalene contains lots of double bond, so the value of iodine is much higher than squalane.

Improved Procedure for Purification of Clostridium botulinum type B Toxin (Clostridium botulinum Type B 독소의 정제방법에 관한 연구)

  • 박문국;양규환
    • Korean Journal of Microbiology
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    • v.20 no.4
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    • pp.183-188
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    • 1982
  • The neurotoxin of Clostridium botulinum type B was purified from a liquid culture. The purification steps consist of ammonium sulfate precipitation of whole culture, treatment of Polymin P(0.15%, v/v), gel filtration on Sephadex G-100 at pH5.6 and DEAE-Sephadex charomatography at pH8.0. The procedure recovered 17% of the toxin assayed in the starting culture. The toxin was homogeneous by sodium dodecyl sulfate(SDS)-polyacrylamide gel electrophoresis and had a molecular weight of 163, 000. Subunits of 106, 000 and 56, 000 molecular weight were found when purified toxin was treated with a disulfide-reducing agent and electro phoresed on SDS-polyacrylamide gels.

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A Study on the Use of Stopword Corpus for Cleansing Unstructured Text Data (비정형 텍스트 데이터 정제를 위한 불용어 코퍼스의 활용에 관한 연구)

  • Lee, Won-Jo
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.891-897
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    • 2022
  • In big data analysis, raw text data mostly exists in various unstructured data forms, so it becomes a structured data form that can be analyzed only after undergoing heuristic pre-processing and computer post-processing cleansing. Therefore, in this study, unnecessary elements are purified through pre-processing of the collected raw data in order to apply the wordcloud of R program, which is one of the text data analysis techniques, and stopwords are removed in the post-processing process. Then, a case study of wordcloud analysis was conducted, which calculates the frequency of occurrence of words and expresses words with high frequency as key issues. In this study, to improve the problems of the "nested stopword source code" method, which is the existing stopword processing method, using the word cloud technique of R, we propose the use of "general stopword corpus" and "user-defined stopword corpus" and conduct case analysis. The advantages and disadvantages of the proposed "unstructured data cleansing process model" are comparatively verified and presented, and the practical application of word cloud visualization analysis using the "proposed external corpus cleansing technique" is presented.