• ETRI Journal
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• 제40권6호
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• pp.802-812
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• 2018

Disease discrimination using an electronic nose is achieved by measuring the presence of a specific gas contained in the exhaled breath of patients. Many studies have reported the presence of acetone in the breath of diabetic patients. These studies suggest that acetone can be used as a biomarker of diabetes, enabling diagnoses to be made by measuring acetone levels in exhaled breath. In this study, we perform a chemical sensor array optimization to improve the performance of an electronic nose system using Wilks' lambda, sensor selection based on a principal component (B4), and a stepwise elimination (SE) technique to detect the presence of acetone gas in human breath. By applying five different temperatures to four sensors fabricated from different synthetic materials, a total of 20 sensing combinations are created, and three sensing combinations are selected for the sensor array using optimization techniques. The measurements and analyses of the exhaled breath using the electronic nose system together with the optimized sensor array show that diabetic patients and control groups can be easily differentiated. The results are confirmed using principal component analysis (PCA).

• Bulletin of the Korean Chemical Society
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• 제30권8호
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• pp.1877-1880
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• 2009

• 정보처리학회논문지D
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• 제11D권3호
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• pp.671-682
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• 2004

다양한 정보기술의 등장과 소프트웨어 복잡성의 증가로 소프트웨어 개발 비용과 노력이 크게 증가하고 있다. 컴포넌트 기반 개발(CBD) 기술은 높은 재사용과 유지보수성을 제공하여 비용과 노력을 크게 절감하는 새로운 방법으로 각광을 받고 있다. CBD에서는 컴포넌트의 사용자가 컴포넌트를 이용해 고유의 도메인에 맞는 시스템을 구축하기 위한 컴포넌트의 가변적인 부분을 가지고 있다. 컴포넌트 내부의 가변적인 부분은 사용자가 컴포넌트에서 제공하는 기능인 Required 인터페이스를 통하여 쉽게 설정할 수 있다. Enterprise JavaBeans(EJB)은 Java 기반의 컴포넌트를 구현할 수 있는 상용 규격으로 활용되고 있다. 그러나 EJB에서 Required 인터페이스를 직접 구현할 수 있는 장치가 제한적이다. 본 논문에서는 EJB 환경에서 Required 인터페이스를 효과적으로 정의하고 子현하기 위한 인터페이스 저장형 기법, 클래스 저장형 기법, 인터페이스 생성형 기법, Plug-in 기법을 제안한다. 인터페이스 저장형 기법은 가변적인 설정 값들은 Required 인터페이스에서 저장하고 있으며 클래스 저장형 기법은 컴포넌트 분석 모델의 수정 없이 가변성을 가진 빈들이 Required 인터페이스로 설정된다. 인터페이스 생성형 기법은 컴포넌트의 가변성을 위한 Required 인터페이스 역할의 민을 새롭게 생성하며 Plug-in 기법은 사용자가 외부로부터 가변적인 부분을 플러그인 하여 가변성을 설정할 수 있다. 제시된 4가지 기법들은 CBD 컴포넌트의 Required 인터페이스의 의미를 보존하며 높은 품질의 컴포넌트 구현을 가능하게 한다.

• 대한화학회지
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• 제61권4호
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• pp.157-162
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• 2017

In the present study, nanocrystalline mixed metal oxide, $CuMnO_3$ catalyst have been synthesized by mechanochemical method with green chemistry approach. The synthesized catalyst was characterized by analytical techniques including FTIR, XRD, SEM, TEM and BET surface area. The synthesized catalyst shows high surface area is $121.06m^2/g$ with particle size 18 nm. The one pot four component synthesis of substituted 2-phenyl-4(3H) quinazolinone from the reaction of anthranilic acid, benzoyl chloride, hydrazine hydrate and substituted benzaldehyde in presence of $CuMnO_3$ nanocatalyst has been carried out. It affords the corresponding products with high yield (76-95%) in very short reaction time. All the obtained products were characterized with $^1HNMR$, $^{13}CNMR$, FTIR and EIMS.

• Bulletin of the Korean Chemical Society
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• 제25권2호
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• pp.271-279
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• 2004

The aroma component of Hallabong peel has been characterized by GC-MS with two different extraction techniques: solid-phase trapping solvent extraction (SPTE) and headspace solid-phase microextraction (HSSPME). Aroma components emitted from Hallabong peel were compared with those of other citrus varieties: lemon, orange and grapefruit by SPTE and GC-MS. d-Limonene (96.98%) in Hallabong was the main component, and relatively higher peaks of cis- ${\beta}$-ocimene, valencene and -farnesene were observed. Other volatile aromas, such as sabinene, isothujol and ${\delta}$-elemene were observed as small peaks. Also, principal components analysis was employed to distinguish citrus aromas based on their chromatographic data. For HSSPME, the fiber efficiency was evaluated by comparing the partition coefficient ($K_{gs}$Kgs) between the HS gaseous phase and HS-SPME fiber coating, and the relative concentration factors (CF) of the five characteristic compounds of the four citrus varieties. 50/30 ${\mu}$m DVB/CAR/PDMS fiber was verified as the best choice among the four fibers evaluated for all the samples.

• 센서학회지
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• 제27권2호
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• pp.118-125
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• 2018

An evaluation system for an electronic-nose concept using three types of metal oxide gas sensors that react similarly to the human olfactory cells was constructed for the quantitative and qualitative evaluation of aroma fragrances. Four types of aroma fragrances (lavender, orange, jasmine, and Roman chamomile), which are commonly used in aromatherapy, were evaluated. All the gas sensors reacted remarkably to the aroma fragrances and the good correlation of r=0.58-0.88 with the aromatic odor intensities by olfaction was confirmed. From the results of the analysis of an electronic-nose concept for classifying the characteristics of aroma oil fragrances, aroma oils could be classified using the fragrance characteristics and oil extraction methods with the cumulative variability contribution rate of 95.65% (F1: 69.65%, F2: 26.03%) by principal component analysis. In the pattern recognition based on the artificial neural network, the four aroma fragrances were 100% recognized through the training data of 56 cases (70%) out of 80 cases, and the pattern recognition rate was 57.1%-71.4% through the validation and testing data of 24 cases (30%). The pattern recognition success rate through all confusion matrices was 82.1%, indicating that the classification of aroma oil fragrances using the three types of gas sensors was successful.

• 한국환경보건학회지
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• 제33권4호
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• pp.299-305
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• 2007

Distribution of fecal pollution indicator bacteria and environmental parameter were investigated of urban artificial lakes. An average concentration of temperature, pH, SS, DO, $COD_{Mn}$, T-P, T-N, Turbidity, Chl-a were $21.5^{\circ}C$, 8.07, 116.70 mg/l, 8.66 mg/l, 2.24 mg/1, 0.52 mg/l, 1.71mg/l, 80.54 NTU, and 52.12 mg/l respectively. From the results of bivariate correlation analysis, fecal contamination indicator bacteria were found to be mutually correlated. And turbidity and suspended solid were correlated. From the results of principal component analysis, four factors were extracted. And four factors of variance explained up to 81.5 percentage. Factor 1 was pollution pattern by fecal contamination, factor 2 was physical pollution pattern by pollution source, factor 3 was natural pollution by precipitation, and factor 4 was artificial pollution pattern by organism.

• 감성과학
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• 제5권3호
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• pp.1-10
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• 2002

This paper concerns with the relationship between the visual perception of the degree of pucker or wrinkles of garment surfaces and the geometrical parameters of surfaces. In this study, four potentially relevant parameters of the surface profile are considered, namely, the variance ($\sigma$$^2$), the cutting frequency (F$\_$c/), the effective disparity curvature (D$\_$ce/) (Defined as the average disparity curvature of the wrinkled surface over the eyeball distance of the observer) and the frequency component of the disparity curvature ( D$\_$cf/). Based on the experiments using garment seams having varying degree of pucker (i.e. the wrinkles along a seam line), it was found that, while the logarithm of each of these four parameters has a strong linear relationship with the visually perceived degree of wrinkles, following the Web-Fetchner Law, the effective disparity curvature ( D$\_$ce/) and the frequency component of the disparity curvature (D$\_$cf/) appeared to have stronger relationships with the visual perception. This finding is in agreement with the suggestion by Rogers '||'&'||' Cagenello that human visual system may compute the disparity curvature in discriminating curved surfaces. It also suggested an objective method of measuring the degree of surface wrinkles.

• STI Policy Review
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• 제7권2호
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• pp.85-105
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• 2016

This study compares the economic impacts among ICT sectors and derives strategic considerations for development of the ICT industry in Korea. Prior to analysis, this study classified ICT industry into four sectors: ICT equipment, components, service, and SW/system. This study conducted Input-Output Analysis on the four ICT sectors. An Input-Output Analysis is a quantitative economic technique that represents the direct and indirect interdependencies between different industries of a national economy. Features of each ICT sector were observed in the results. Within the ICT equipment sector, production is decreasing, import dependence is increasing, and employment size is very low, relative to the overall ICT industry. The component sector accounts for the over half of the output and value added of the ICT industry, but domestic production has recently declined. The subsector experienced decreasing production and increasing imports relative to the other ICT subsectors. In the service sector, output is small but its production and employment impact is very high. The fourth sector, ICT SW/system, has very low impact on production but high impact on employment. These features suggest two strategies to develop the ICT industry in Korea. First, the ICT component and service sectors should be promoted to stimulate growth of the national economy. Second, to encourage employment growth, policies should promote the ICT SW/system and service sectors.

• 한국체육학회지인문사회과학편
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• 제55권1호
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• pp.37-47
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• 2016

이 연구의 목적은 스포츠선수들이 실제 스포츠현장에서 도덕적으로 판단하고 행동할 수 있도록 도덕적 자율성을 신장시키기 위한 스포츠윤리교육 프로그램을 개발하는 데 있다. 이러한 목적을 달성하기 위해, 먼저 Rest의 도덕성 4구성요소 모형을 이론적 토대로 관련 선행연구를 고찰하고 국내외 스포츠윤리 저서들을 분석함으로써 스포츠윤리에서 다루어야 할 핵심 주제를 도출하여 교육내용을 구성하였다. 다음으로 선정한 교육내용을 효과적으로 교육하기 위하여 인지구조의 비평형화와 동년배 집단 교류의 기제를 통한 딜레마 토론 수업을 활용하였다. 끝으로 개발한 스포츠윤리교육 프로그램은 대학교 학생선수들을 대상으로 적용하였으며 프로그램 실행 후 심층면담을 통하여 설정한 스포츠윤리교육의 목적이 달성되었는지를 평가함으로써 프로그램의 효과를 검증하였다. 프로그램에 참가 후 학생선수들의 스포츠윤리에 대한 인식과 실천행동에 있어서 긍정적인 변화를 확인하였다. 이 연구가 스포츠지도 현장에서 실제로 활용할 수 있는 다양한 수준의 스포츠윤리교육 프로그램 개발에 기초자료를 제공하고 스포츠윤리교육 활성화에 기여할 수 있기를 기대한다.