• 한국염색가공학회지
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• 제10권1호
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• pp.1-10
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• 1998

The objectives of this study were to investigate the effects of mordants and dyeing method : on the dyeability and color fastness of the fabrics with the extract from Gardenia. The following results were drawn from the data obtained. 1. The wavelengths of the strongest absolution bands of Amur cork tree, Gardenia extract was 440nm respectively and the wavelengths 440-460nm after the mordants were added in the color extracts(The bands of Gardenia extract shifts to short wavelength side as pH increased.). In all cases, the abosorbancies were increased. 2. The main color substances in extract from Gardenia were expected to be cretin respectively by spectrophotometric and HPLC studies. 3. As to the concentration of color extract for dyeing, about 20g/L was the optimum concentration to dye silk and cotton fabrics with extract. 4. For silk and cotton fabrics dyeing with Gardenia extract, $SnCl_2$ was the best mordants. The K/S values of dyed fabrics were increased gradually as the concentration of mordants increased, and the highest K/S values were obtained at 5-10%. When using the mordanting methods, silk fabric by premordanting and cotton fabric by synmordanting had a greater effect K/S value. 5. The color fastness of fabrics dyed with Gardenia extract against dry cleaning, washing, rubbing and perpiration was improved 1 level or so but light fastness was remained 1 level showing without any effect.

• 한국산학기술학회논문지
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• 제6권4호
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• pp.309-314
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• 2005

본 논문에서는 생명공학 정보를 포함하는 분산 웹 데이터베이스들로부터 관련성에 기반하여 목표 데이터를 추출하는 기법들을 분석한다. 더불어 이 분석을 기본으로 단백질 데이터의 지식 확장 방법의 설계 및 구현을 제안한다. 웹 데이터베이스를 위한 데이터 추출기는 수동 추출, 반자동 추출, 자동 추출 방법 등의 구현방법이 가능하다. 웹 데이터 추출기는 해당 웹 페이지에서 목표 데이터를 검색 및 추출하기 위하여 식별자를 이용하는 것이 일반적이다. 본 논문은 웹 데이터 추출 기법을 이용한 유기체 단백질 관련 데이터베이스 시스템의 설계와 구현을 기술한다.

• 대한본초학회지
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• 제32권4호
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• pp.39-46
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• 2017

Objectives : This study aims to provide basic data about Portulacae Herba (PH) extracts as natural antioxidants by considering diverse antioxidant activities of PH depending on solvents. Methods : The samples of PH were pulverized, and A hot water and a 70% EtOH were stir-extracted for two hours three times repeatedly in a water bath with a temperature of 95 degrees and at room temperature respectively to measure 7 kinds of antioxidant activities. Results : There were significant differences in total phenol content, because the total phenol content of the 70% EtOH extract was higher than the hot water extract's, and the total flavonoid content of the 70% EtOH extract($4.40{\mu}g/mg$) was nearly 3.8 times higher than the hot water extract's($1.16{\mu}g/mg$). DPPH and ABTS radical scavenging activities were 70% EtOH extract showed a little higher activity than the hot water extract, and at a concentration of $500{\mu}g/mg$, the highest scavenging activity was found in the 70% EtOH extract, not in the control group. Hydroxyl radical and $Fe^{2+}$ chelatingactivities were slightly higher in hot water extract than in 70% EtOH extract, and increased in a dose-dependent manner. Nitrite scavenging activities increased dose-dependently in the hot water and the 70% EtOH extract, regardless of the pH level, and scavenging activity of the 70% EtOH extract was higher at pH 1.2 than at pH 3.0. Conclusions : In conclusion, it is thought that PH hot water and 70% EtOH extract have antioxidant activities, and can be used as natural antioxidants in future.

• Bulletin of the Korean Chemical Society
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• 제18권12호
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• pp.1281-1285
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• 1997

The time-dependent tracking inversion method is developed to extract the potential of the excited state from frequency-domain measurements, such as the absorption profile. Based on the relay of the regularized inversion procedure and time-dependent wave-packet propagation, the algorithm extract the underlying potential piece by piece by tracking the time-dependent data which can be synthesized from frequency-domain measurements. We have demonstrated the algorithm to extract the potential of excited state for a model diatomic molecule. Finally, we describe the merits of the time-dependent tracking inversion method compared to the time-dependent inversion and discuss several extensions of the algorithm.

• 한국식품영양학회지
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• 제21권2호
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• pp.157-164
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• 2008

This study examined the antioxidant activity of methanol and water extracts from Orostachys japonicus A. Berger according to harvest times, by measuring electron donating ability(EDA), reducing power, superoxide dismutase(SOD)-like activity, thiobarbituric acid reactive substances(TBARS) and antioxidant activity within a linoleic acid emulsion. EDA increased proportionally with the extract concentration and the methanol extract had slightly stronger effects than the water extract. And reducing power and SOD-like activity were highest in the methanol extract. Overall, based on the data, the methanol extract of O. japonicus A. Berger harvested during $August{\sim}October$ presented the highest level of antioxidative activity and may be a good candidate as a natural antioxidant source.

• 대한화학회지
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• 제57권2호
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• pp.264-271
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• 2013

Corrosion inhibition of mild steel used in water station in 35 ppm aluminum sulfate and 10 ppm chloride solution by Camellia sinensis leaves extract was studied using weight loss, potentiodynamic polarization and electrochemical impedance spectroscopy techniques at $30^{\circ}C$. Results show that the inhibition efficiency increases with increasing concentration of the extract and decreases with increasing temperature. Inhibitive effect was afforded by adsorption of the extract's components which was found to accord with Langmuir adsorption isotherm. Inhibition mechanism is deduced from the temperature dependence of the inhibition efficiency and was further corroborated by the values of activation parameters obtained from the experimental data.

• 한국식품영양과학회지
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• 제22권5호
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• pp.617-620
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• 1993

한국산 초피나무의 물고기에 대한 독성력을 확인하기 위하여 물질을 용매추출, silica gel column chromatography와 재결정을 통하여 분리 정제하였다. 추출물의 물고기에 대한 독성실험 결과, methanol 추출물에서 가장 강한 독성이 나타났으며, 그 다음으로는 물추출물, 초피의 건조분말 그리고 chloroform추출물 순서로 독성을 보였다. 이 추출물의 구조를 기기분석을 통해 해석한 결과 L-asarinin 임을 확인하였다.

• 정보화연구
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• 제10권3호
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• pp.347-359
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• 2013

데이터의 품질관리는 데이터 활용 활성화 및 정확한 의사결정을 위해 중요한 요소이다. 본 연구는 각 기관이나 조직 자체적으로 주요 핵심 데이터를 추출할 수 있는 방법에 대한 연구이며, 수행 중인 프로그램 정보로 부터 중요도가 높은 테이블을 추출하기 위한 방법으로 사회 연결망 분석 기법을 제안하였다. 본 연구에서 제시한 SNA를 통한 CTQ 데이터 추출 기법을 통하여 업무 전문가 없이도 과학적인 방법에 의해 실제 업무적 상황을 입체적으로 접근하여 정확도 높은 CTQ 데이터를 도출할 수 있었다. 이는 실무 적용 시 IT 부문의 CTQ 데이터 관리에 있어 조직의 품질관리 수준을 개선할 수 있을것으로 기대된다.

• 대한원격탐사학회지
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• 제23권3호
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• pp.189-198
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• 2007

Introduction of lidar technology have contributed to a wide range of applications in generating quality surface models. Accordingly, because of the importance of terrain surface models in mapping applications, rigorous studies have been performed to extract ground points from a lidar data point cloud. Although most filters have been shown abilities to extract ground points with their parameters tuned, however, most experiments revealed that there are certain limitations in optimizing filter parameters and the correction of remaining misclassified points is not straightforward. In this study, therefore, a method to improve the quality of filtered lidar data is proposed, which exploits neighboring surface properties arising between immediate neighbors. The method comprises a sequence of procedures which can reduce commission and omission errors. Commission errors occurring in low-rise objects are reduced by utilizing morphological operations. On the other hand, omission errors are reduced by adding missing ground points around step edges. Experimental results show that the qualities of filtered data can be improved considerably by the proposed method.

• Journal of applied mathematics & informatics
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• 제40권1_2호
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• pp.289-303
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• 2022

This article examines the multidimensional index extraction method of the disability social security system based on data mining. While creating the data warehouse of the social security system for the disabled, we need to know the elements of the social security indicators for the disabled. In this context, a clustering algorithm was used to extract the indicators of the social security system for the disabled by investigating the historical dimension of social security for the disabled. The simulation results show that the index extraction method has high coverage, sensitivity and reliability. In this paper, a multidimensional extraction method is introduced to extract the indicators of the social security system for the disabled based on data mining. The simulation experiments show that the method presented in this paper is more reliable, and the indicators of social security system for the disabled extracted are more effective in practical application.