• Bulletin of the Korean Chemical Society
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• 제23권7호
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• pp.935-936
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• 2002

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• 제42권5호
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• pp.251-258
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• 2016

Objectives: The aim of this retrospective study was to investigate factors associated with increased difficulty in the surgical extraction of impacted lower third molars and to improve identification of difficult cases. Materials and Methods: A total of 680 patients who required 762 surgical extractions of impacted lower third molars from 2009 to 2014 were enrolled in the study. Demographic factors, clinical factors, radiographic factors, surgical extraction difficulty, and presumed causes of difficulty were collected. Data were statistically analyzed using IBM SPSS Statistics version 23. Results: Age, sex, depth of impaction, and blurred radiographic image influenced difficulty in surgical extraction. The position of the impacted tooth influenced surgical difficulty, especially when it was accompanied by other factors. Conclusion: It is challenging to design a reliable and practical instrument to predict difficulty in surgical extraction of impacted lower third molars. To identify very difficult cases, root investigation using computed tomography is advised when impacted tooth position suggests difficult extraction.

• 한국식품영양학회지
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• 제12권4호
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• pp.358-363
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• 1999

This study was conducted to evaluate the extraction methods for the determination of antioxidants in soybean oil. Recovery rates of various antioxidants in soybean oil showed similar rates as 80.4~102.1% by solvent/solvent extraction method and 89.9~106.4% by sweep co-distillation method except 46.6~61.2% of PG at corresponding spiked concentractions. The maximun recovery rates of antioxidnts were obtained when extraction time and extraction temperature used in UNITREX were 20min and 21$0^{\circ}C$ respectively. In the recovery rates with the activation of florisil when 2% ofwater was added to florisil the highest recovery rates for TBHQ, BHA, BHT were obtained by sweep co-distillation met-hod. Therefore sweep co-distillation method showed less solvent simple operation and high recovery rate compared with solvent/solvent extraction method.

• 한국멀티미디어학회논문지
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• 제20권5호
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• pp.740-747
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• 2017

A fast cell contour extraction method using CUDA parallel processing technique is presented. The cell contour extraction is one of important processes to analyze cell information in pathology. However, conventional sequential contour extraction methods are slow for a huge high-resolution medical image, so they are not adequate to use in the field. We developed a parallel morphology operation algorithm to extract cell contour more quickly. The algorithm can create an inner contour and fail to extract the contour from the concave part of the cell. We solved these problems by subdividing the contour extraction process into four steps: morphology operation, labeling, positioning and contour extraction. Experimental results show that the proposed method is four times faster than the conventional one.

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2005년도 BIOINFO 2005
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• pp.237-242
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• 2005

Predicting the cellular location of an unknown protein gives a valuable information for inferring the possible function of the protein. For more accurate prediction system, we need a good feature extraction method that transforms the raw sequence data into the numerical feature vector, minimizing information loss. In this paper, we propose new methods of extracting underlying features only from the sequence data by computing pairwise sequence alignment scores. In addition, we use composition based features to improve prediction accuracy. To construct an SVM ensemble from separately trained SVM classifiers, we propose specificity based weighted majority voting. The overall prediction accuracy evaluated by the 5-fold cross-validation reached 88.53% for the eukaryotic animal data set. By comparing the prediction accuracy of various feature extraction methods, we could get the biological insight on the location of targeting information. Our numerical experiments confirm that our new feature extraction methods are very useful for predicting subcellular localization of proteins.

• 한국식품위생안전성학회지
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• 제8권4호
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• pp.251-254
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• 1993

Extraction and Clean-up procedures coupled with quantitation by high performance liquid chromatography(HPLC) was evaluated for the detection of 4 aflatoxins, B1, B2, G1 and G2, in peanut butter. The Sep-pak clean-up method showed poorer separation and repeatability than did the modified DeVries' and an immunoaffinity column clean-up methods. No significant difference of detected aflatoxins between the affinity column clean-up and modified DeVries' method. The coefficients of variation for the 4 aflatoxins were ranging from 6.3∼32.3 by the modified DeVries' method and 5.3∼9.8 by the affinity column clean-up.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 ITC-CSCC -2
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• pp.906-909
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• 2000

Conventional caption extraction methods use the difference between frames or color segmentation methods from the whole image. Because these methods depend heavily on heuristics, we should have a priori knowledge of the captions to be extracted. Also they are difficult to implement. In this paper, we propose a method that uses little heuristics and simplified algorithm. We use topographical features of characters to extract the character points and use KMST(Kruskal minimum spanning tree) to extract the candidate regions for captions. Character regions are determined by testing several conditions and verifying those candidate regions. Experimental results show that the candidate region extraction rate is 100%, and the character region extraction rate is 98.2%. And then we can see the results that caption area in complex images is well extracted.

• 한국멀티미디어학회논문지
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• 제14권1호
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• pp.1-14
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• 2011

영상의 유통이 활발해 지면서 증가하는 데이터베이스를 효율적으로 관리하기 위한 다양한 요구들이 생겨났다. 내용 기반 기술은 이런 요구들을 충족시켜 줄 기술 중 하나이다. 내용 기반 기술에서는 다양한 특징 방법을 이용해 영상을 표현할 수 있지만, 그 중 전역 특정 방법은 추출된 특정 벡터가 규격화 되어 빠른 정합 속도를 확보할 수 있다는 장점이 있다. 전역 특정 방법은 크게 공간적 특성을 이용한 방법과 통계적 특성을 이용한 방법으로 분류할 수 있고, 각각은 다시 컬러 성분을 이용한 방법과 밝기 성분을 이용한 방법으로 분류된다. 본 논문에서는 이와 같은 분류 방법에 따라 다양한 전역 특정 방법들을 살펴보고, 정확성 실험, 재현율-정확도 그래프, ANMRR, 특징 벡터 크기-정합시간 등을 이용해 개별 전역 특정들의 성능을 비교하였다. 실험 결과 공간적 특성을 이용한 전역 특징은 비기하학적 변형에서 특히 뛰어난 성능을 보였으며, 컬러 성분과 히스토그램을 이용한 전역 특정 방법이 가장 좋은 성능을 보였다.

• 한국약용작물학회지
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• 제3권3호
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• pp.226-232
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• 1995

자호(紫胡) saikosaponin정량(定量)에 대한 추출방법(抽出方法) 및 기기분석조건별(器機分析條件別) 비교분석시험(比較分析試驗)결과는 다음과 같다. 1. HPLC를 이용한 시호 사포닌 정량은 산처리하는 방법에서 무처리 방법보다 분석시간이 더 단축되었다. 2. 추출방법상 상온추출이 수율이 높으나 가온 환류추출에 의해 분석시간이 짧고 양호한 크로마토그람을 얻을 수 있었다. 3. 시호 사포닌 분석시 HPTLC법이 HPLC법보다 대량신속측면에서 양호하나 신뢰도가 떨어졌다. 4. 따라서 시호 사포닌의 추출 및 분석은 가온환류추출과 산처리하는 분석방법이 신속한 분석방법으로 적당하였으며, 성분육종을 위한 간이검정기술로서는TLC 이용 분석이 유리할 것으로 생각되었다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2001년도 The 6th International Symposium of East Asian Resources Recycling Technology
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• pp.259-263
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• 2001

There are several steps such as slicing, lapping, chemical etching and mechanical polishing in the silicon wafer production process. The chemical etching step is necessary to remove damaged layer caused In the slicing and lapping steps. The typical etching liquor is the acid mixture comprising nitric acid, acetic acid and hydrofluoric acid. At present, the waste acid is treated by a neutralization method with a high alkali cost and balky solid residue. A solvent extraction method is applicable to separate and recover each acid. Acetic acid is first separated from the waste liquor using 2-ethlyhexyl alcohols as an extractant. Then, nitric acid is recovered using TBP(Tri-butyl phosphate) as an extractant. Finally hydrofluoric acid is separated with the TBP solvent extraction. The expected recovered acids in this process are 2㏖/l acetic acid, 6㏖/1 nitric acid and 6㏖/l hydrofluoric acid. The yields of this process are almost 100% for acetic acid and nitric acid. On the other hand, it is important to recover and reuse the metal values contained in various industrial wastes in a viewpoint of environmental preservation. Most of industrial products are made through the processes to separate impurities in raw materials, solid and liquid wastes being necessarily discharged as industrial wastes. Chemical methods such as solvent extraction, ion exchange and membrane, and physical methods such as heavy media separation, magnetic separation and electrostatic separation are considered as the methods for separation and recovery of the metal values from the wastes. Some examples of the application of solvent extraction to the treatment of wastes such as Ni-Co alloy scrap, Sm-Co alloy scrap, fly ash and flue dust, and liquid wastes such as plating solution, the rinse solution, etching solution and pickling solution are introduced.