• 제목/요약/키워드: Balance

검색결과 11,064건 처리시간 0.044초

국내산 소나무로 제조된 APMP 특성 연구 (Study of Alkaline Peroxide Mechanical Pulp Made from Pinus densiflora)

  • 이지영;남혜경;김철환;권솔;박동훈;주수연;이민석
    • 펄프종이기술
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    • 제48권1호
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    • pp.100-110
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    • 2016
  • Alkaline Peroxide Mechanical Pulping (APMP) of Pinus densiflora harvested from domestic mountains was explored. APMP contributes to various advantages including pulp quality, elimination of the need for a bleaching process, and energy savings. Sequential treatment of impregnation of bleaching chemicals and refining not only overcome the concern of alkaline darkening of wood chips during chemical impregnation, but it also brightens the chips to the desired brightness levels suitable for writing and printing papers. APMP pulping from Pinus densiflora was greatly influenced by the dosage levels of hydrogen peroxide and sodium hydroxide. Alkaline peroxide treatment was carried out by applying one of three levels of hydrogen peroxide (1.5, 3, and 4.5% based on the oven-dried weight of the wood chips) and one of three levels of sodium hydroxide (1.5, 3, and 4.5% based on the oven-dried weight of the wood chips). Other chemicals including a peroxide stabilizers and metal chelation were constantly added for all treatments. Chemical treatment with a liquor-to-wood ration of 9:1 was carried out in a laboratory digestor. Compared to BTMP, APMP pulping displayed outstanding characteristics including the less requirement of refining energy, the better improvement of tensile strength, the more reduction of shives, and the greater increase of pulp brightness. In particular, when 4.5% of hydrogen peroxide with impregnation during 90 minutes was used, the brightness of APMP reached 64.9% ISO. Even though bulk of APMP was decreased with the increase of sodium hydroxide, a better and improved balance could be achieved between optical and strength properties. The spent liquor obtained from the discharge of the impregnation process at the dosage level of 4.5% hydrogen peroxide exhibited an equal level of residual peroxide with BTMP. In conclusion, APMP pulping showed successful results with Pinus densiflora due to its better response to the development of optical and physical properties compared to TMP pulping.

선천성(先天性) 심장병(心臟病)의 개심술(開心術) -6례(例) 수술경험(手術經驗) - (Open Heart Surgery for Six Cases of the Conegnital Heart Disease)

  • 이성행;이성구;한승세;이길노;김송명;이광숙;이종국
    • Journal of Chest Surgery
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    • 제9권2호
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    • pp.220-238
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    • 1976
  • Six cases of congenital heart disease were operated on by means of cardiopulmonary bypass between December, 1975 and April, 1976. Two cases of ventricular septal defects (VSD), two cases of VSD, associated with ruptured aneurysm of sinus Valsalva, two cases of atrial septal defects (ASD) and one case of pulmonic stenosis with patent ductus arteriosus were operated. Sarns roller pumps and Bentley Temptrol oxygenators were used for extracorporeal circulation. Pump oxygenator was primed with Ringer's lactate solution, 5% dextrose in water, mannitol, and ACD blood. Flow rate ranged from 2.0 to $2.4L/M^2/min$. Bicarbonate was added to the oxygenator with estimated amount as 15 mEq/L/hr. Venous catheters were introduced into superior and inferior vena cava, and oxygenated blood was returned to the body through aortic cannula inserted into ascending aorta. Moderate hypothermia ($30^{\circ}C$) was induced by core cooling. Aorta was cross clamped for 15 minutes and released for 3 minutes, and repeated clamping when necessary. Atrial and ventricular septal efects were closed by direct sutures. Aneurysms of sinus Valsalva ruptured into the right ventricle were repaired through right ventriculotomy by d:rect closure with Dacron patch reinforcement. Cardiopulmonary bypass time varied from 66 to 209 minutes, and aorta cross clamping time ranged from 13 to 56 minutes. Postoperative bleeding was minimal except one case who needed for evacuation of substernal hematoma. Intra- and postoperative urinary output was satisfactory. Acid-base balance, partial pressure of $O_2$, electrolytes, and hematological changes during intra- and post-perfusion period remained at the acceptable ranges. No mortality was experienced.

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외부전극 형광램프의 발광 및 플라즈마 특성 (Light Emission and Plasma Property in the External Electrode Fluorescent Lamps)

  • 안상현;이민규;정종문;김정현;유동근;구제환;강준길;홍병희;최은하;조광섭
    • 한국진공학회지
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    • 제16권3호
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    • pp.172-180
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    • 2007
  • 외부전극 형광램프(EEFL)에서 빛의 방출 전파 신호의 관측법에 의하여 플라즈마의 전자 온도와 밀도를 진단하는 새로운 방법을 소개한다. 직경 4.0 mm이고 램프 길이 860 mm인 37인치 LCD-TV용 외부전극 형광램프에 대하여, 전압 인가 방식에 따른 두 가지의 구동법에 의한 발광 형태와 플라즈마의 특성을 조사한다. 램프 양단에 고전압을 인가하는 구동 방식에서, 빛은 고전압이 인가된 램프 양 끝에서 중앙으로 빛의 방출이 전파되며, 램프 길이 전체에 대하여 휘도가 균일하다. 램프 한쪽에 고전압을 인가하고 다른 한쪽은 접지한 구동에서, 빛의 방출은 고전압이 인가된 전극에서 접지된 전극 방향으로 전파되며, 고전압 쪽의 휘도가 높고 접지 쪽의 휘도가 낮아 램프 길이 방향으로 휘도가 불균일하다. 이러한 발광 전파 신호로부터 전자의 표류 속도를 계산하여, 전자의 온도와 밀도를 얻는다. 외부전극 형광램프의 사용 휘도의 영역인 $10,000{\sim}15,000cd/m^2$에 대하여, 전자 온도 $(kT_e)$$1.3{\sim}2.7eV$, 플라즈마의 밀도 $(n_e)$$(1.6{\sim}3.6){\times}10^{16}m^{-3}$를 얻었다.

Noah LSM을 이용한 지표 플럭스 산정 및 한반도에서의 적용성 검토 (Estimation of Surface Fluxes Using Noah LSM and Assessment of the Applicability in Korean Peninsula)

  • 장애선;문희원;황석환;최민하
    • 한국습지학회지
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    • 제15권4호
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    • pp.509-518
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    • 2013
  • 지표와 대기간의 에너지 및 수문기상인자들의 교환에 대한 이해는 수자원분야의 연구에 있어서 기초라 할 수 있으며 이를 위하여 Land Surface Mode(LSM)을 활용한 연구가 활발히 진행되고 있다. Noah Land Surface Model (Noah LSM)은 에너지 방정식과 물수지 방정식을 기반으로 한 지면모형으로 수문기상인자들에 대한 모의가 가능하다. 국외에는 Noah LSM을 이용한 다양한 연구사례들이 있으나, 국내에서는 적용사례가 매우 부족하며, 특히 단독으로 Noah LSM을 적용한 사례는 전무한 실정이다. 본 연구에서는 Noah LSM의 국내 적용성을 평가하기 위해 해남(HFK)과 광릉(GDK) Korea Flux Network (KoFlux)에서 제공하는 자료를 입력자료로 활용하여 모형 결과를 산출하고, 순 복사량, 잠열, 현열의 결과를 관측자료와 비교 검증하였다. 모형 결과와 관측치를 비교한 결과 회귀분석에서의 상관계수 값이 각 인자 별로 해남은 0.83~099, 광릉은 0.64~0.99로 신뢰할 만한 수준인 것으로 나타났다.

우리나라 가상수량 산정방법의 적용성 평가 (Evaluation of Virtual Water Calculation Method in Korea)

  • 안재현;이재근;이승호;홍일표
    • 한국수자원학회논문집
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    • 제43권6호
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    • pp.583-595
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    • 2010
  • 가상수(假想水, Virtual Water)란 일정량의 농산물, 축산물, 공산품과 같은 생산품 혹은 서비스 제공에 필요한 물의양을 뜻하는 것으로 1990년대 초반 Tony Allan 교수가 처음 제시하였다. 본 연구는 Chapagain and Hoekstra (2004)이 제시한 농축산물 및 공산품의 단위 가상수량 산정방법을 분석 및 적용하여 1998년부터 2007년까지 우리나라의 가상수 수출입량을 산정하였다. 또한 가상수 수출입을 국가간 정량화하는 방법론으로 물발자국(Water Footprint) 이론을 이용하였다. 그리고 2006년 우리나라 농작물 생산량에 단위 가상수량을 적용하여 수자원장기종합계획(건설교통부, 2006)의 농업용수 수요량과 비교함으로써 단위 가상수 사용의 적절성을 검토하였다. 연구결과 현재 우리나라는 연평균 320억 $m^3$의 가상수를 농축산물 및 공산품의 무역을 통하여 순수입하고 있으며 그 양은 지속적으로 증가추세를 보이고 있다. 생산되는 농작물의 가상수량과 농업용수 수요량의 차이는 약 6억 $m^3$으로서 전체 수요량이 약 160억 $m^3$인 점을 감안한다면 상대적으로 근소한 차이로서 본 연구에서 적용한 단위 가상수량 산정방법이 타당함을 입증하였다.

직접메탄올 연료전지의 Multiscale 모델링 및 전산모사 (Multiscale Modeling and Simulation of Direct Methanol Fuel Cell)

  • 김민수;이영희;김정환;김홍성;임태훈;문일
    • 멤브레인
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    • 제20권1호
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    • pp.29-39
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    • 2010
  • 본 연구는 차세대 에너지원으로 주목 받고 있는 직접메탄올연료전지(Direct Methanol Fuel Cell, DMFC)에 대해 mutiscale 기법을 사용하여 DMFC의 MEA부분에 대한 상세 모델링 및 전산모사를 통한 이론적 고찰을 시도하였다. 본 연구에서 이용한 multiscale 모델링 방법은 공정시스템 공학의 kinetic 중심의 모델링 방법과 전산유체역학(Computational Fluid Dynamics, CFD)의 유동중심의 모델링 방법을 유기적으로 결합하여 모사 중간에 필요한 데이터 교환을 함으로써 정확한 모델링 및 전산모사 결과를 얻었다. CFD 모델링으로 유체 이동현상을 3차원으로 해석하였고, 동시에 복잡한 비선형 대수방정식으로 표현되는 반응속도, 전기화학반응을 DAE (Differential & Algebraic Equation) solver로 계산하였다. 모델은 메탄올의 산화반응과 산소의 환원반응을 중심으로 MEA (Membrane Electorde Assembly)부분에서 물리화학적, 전기적 현상 현상을 규명하고, 반응 메커니즘을 구성하였다. MEA 모델은 3차원 공간에서 변위를 가지는 3차원 모델로 구성하였으며, 정상상태 및 등온공정의 조건하에 수립되었다. 이를 통해 channel을 포함한 MEA 부분에서 발생되는 물리적, 화학적, 전기적 현상을 정확히 예측 할 수 있다. 본 연구를 통해 수행된 결과는 DMFC의 실험계획 및 운전조건을 도출함에 있어 매우 유용한 역할을 할 수 있을 것으로 사료되며, 추가적인 연구를 통해 DMFC의 상용화에 크게 이바지 할 수 있을 것으로 사료된다.

우리나라 농업기계화에 관한 조사연구 (A Investigation and Study on the Farm Mechanization in Korea)

  • 최재갑
    • 한국농공학회지
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    • 제13권3호
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    • pp.2349-2371
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    • 1971
  • 1. The historical development of the agriculture in Korea is observed and the future of Korean agriculture is suggested with present situation in order to recommend a direction of policy in agricultural mechanization. 2. A factor analysis of agricultural mechanization The needs of agricultural mechanization in the view of both national need and the armer's desire under the present situation are analyzed with data from the various sources. The researcher found that the agricultural mechanization is badly needed to develop prospective Korean agriculture to future. 3. The direction of agricultural mechanization. It can be said that the position of agriculture in the national economy plays a very important role. This importance should not be ignored by the Politicians in their process of developing long range economy plan. The agricultural mechanization for the modernized Korean agriculture should be directed to increase the most effective results with minimize the least sacrifice. The merry tiller is recommended to the main agricultural machinery in Korea in order to meet its small farming operation un-its(or farm size). Tractor is recommended in the plain area for the crop cultivation. The cooperative cultivation for rice and the upland crops will be developed in the plain area. Tractor, therefore, is recommended for the main agricultural machinery in these areas. Either tractor or merry tiller is recommended to the orchard area by its operating size of the orchard. The researcher also disoussed about the development of animal husbandry on the farm with increasing the farm size in order to develop meadow and pasture nuder the consideration of both the improvement of food consumption and the comprehensive development of national resources. 4. Relationship between the Performance of various agricultural machinery and the economic scale. Because of the agricultural machinery needs an expensive fixed expense(fixed cost) the total expense Per ha of the fixed expense and the operation expense should less than the traditional expense Per Dan Bo with in creased corpgiclds Per Dan Bo. Since the anual fixed expense of the agricultural machinery is figured out by the durability the more the farm size the less fixed expense of machinery is required. The formula of this principle is as follows; fixed expense for Dan Bo=Fixed expense of agricultural machinery farm size(or farming scale) The breaking-even point is the balance point between the expense of the using agricultural machinery and the traditional farming expenses. Labor cost of the Dan Bo is increasing when the management scale increases by the tradititional farming while the machanized management decrease the management cost Per Dan Bo. The reseracher found that the distribution of agricultural machinery will be the adeventeous after the year of 1981 by the result of frguring out the breaking-even point. 5. The Investigate and the conclusion. The purpose of this study is found out the direction of agricultural machanization and the breaking-even point of various agricultural machinery, there for is found out effective of the using various agricultural machinery for Collection cutter, Binder, Footing thresser, Semi-power thresser, Power thresser, Combine, Power rice-Trans-Planter, etc.

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지방산을 투여한 마우스의 Salmonella typhi에 대한 항체 생성력 (Antibody Producibilities of Salmonella typhi in Mice fed on Different Fatty Acids)

  • 이정화;김용호;이원재;함건주
    • 대한의생명과학회지
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    • 제1권1호
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    • pp.45-54
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    • 1995
  • 지방산 식이가 항체 생성력에 미치는 영향을 알아보기 위하여 ICR계 마우스를 기본사료만 투여한 대조군, 돈유 투여군, 그리고 정어리유 투여군으로 나눈 다음, 추출한 지방산을 8주동안 경구 투여한 후, 마우스 간조직 중의 지방산 조성 변화, Salmonella typhi에 대한 항체 역가, 복강내 대식세포의 탐식능 및 비장세포의 증식능을 비교 관찰한 결과는 다음과 같다. 대조군에 비하여 돈유 투여군에서는 $C_{18:3}$, $C_{20:3}$, $C_{20:4}$ 등의 지방산이 감소하였고, 정어리 투여군에서는 $C_{18:1}$, $C_{18:2}$, $C_{18:0}$를 제외한 주요 불포화 지방산 성분이 감소되었다. 대식세포의 탐식능에서는 대조군에 비하여 실험군의 대식세포 탐식능이 저하되었고, 마우스 생체 항체 생성력은 돈유 투여군이 대조군 및 정어리유 투여군보다 높은 역가를 나타내었으며, 마우스 비장세포 배양 상층액 중의 항체 역가는 마우스 생체 역가와는 다르게 정어리유 투여군이 더 높은 역가는 나타내었다. 또한 비장세포 증식능은 증시능을 나타내었다. 이러한 차이는 포화, 불포화 지방산 균형 증가에 의하여 면역 억제력이 높아진 결과로 생각되며, 포화 지방산의 투여는 항체 생성력을 현저하게 증가시킬 수는 있으나 면역 억제력은 타나내지 못함을 알 수 있었다.

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Principal Discriminant Variate (PDV) Method for Classification of Multicollinear Data: Application to Diagnosis of Mastitic Cows Using Near-Infrared Spectra of Plasma Samples

  • Jiang, Jian-Hui;Tsenkova, Roumiana;Yu, Ru-Qin;Ozaki, Yukihiro
    • 한국근적외분광분석학회:학술대회논문집
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    • 한국근적외분광분석학회 2001년도 NIR-2001
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    • pp.1244-1244
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    • 2001
  • In linear discriminant analysis there are two important properties concerning the effectiveness of discriminant function modeling. The first is the separability of the discriminant function for different classes. The separability reaches its optimum by maximizing the ratio of between-class to within-class variance. The second is the stability of the discriminant function against noises present in the measurement variables. One can optimize the stability by exploring the discriminant variates in a principal variation subspace, i. e., the directions that account for a majority of the total variation of the data. An unstable discriminant function will exhibit inflated variance in the prediction of future unclassified objects, exposed to a significantly increased risk of erroneous prediction. Therefore, an ideal discriminant function should not only separate different classes with a minimum misclassification rate for the training set, but also possess a good stability such that the prediction variance for unclassified objects can be as small as possible. In other words, an optimal classifier should find a balance between the separability and the stability. This is of special significance for multivariate spectroscopy-based classification where multicollinearity always leads to discriminant directions located in low-spread subspaces. A new regularized discriminant analysis technique, the principal discriminant variate (PDV) method, has been developed for handling effectively multicollinear data commonly encountered in multivariate spectroscopy-based classification. The motivation behind this method is to seek a sequence of discriminant directions that not only optimize the separability between different classes, but also account for a maximized variation present in the data. Three different formulations for the PDV methods are suggested, and an effective computing procedure is proposed for a PDV method. Near-infrared (NIR) spectra of blood plasma samples from mastitic and healthy cows have been used to evaluate the behavior of the PDV method in comparison with principal component analysis (PCA), discriminant partial least squares (DPLS), soft independent modeling of class analogies (SIMCA) and Fisher linear discriminant analysis (FLDA). Results obtained demonstrate that the PDV method exhibits improved stability in prediction without significant loss of separability. The NIR spectra of blood plasma samples from mastitic and healthy cows are clearly discriminated between by the PDV method. Moreover, the proposed method provides superior performance to PCA, DPLS, SIMCA and FLDA, indicating that PDV is a promising tool in discriminant analysis of spectra-characterized samples with only small compositional difference, thereby providing a useful means for spectroscopy-based clinic applications.

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PRINCIPAL DISCRIMINANT VARIATE (PDV) METHOD FOR CLASSIFICATION OF MULTICOLLINEAR DATA WITH APPLICATION TO NEAR-INFRARED SPECTRA OF COW PLASMA SAMPLES

  • Jiang, Jian-Hui;Yuqing Wu;Yu, Ru-Qin;Yukihiro Ozaki
    • 한국근적외분광분석학회:학술대회논문집
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    • 한국근적외분광분석학회 2001년도 NIR-2001
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    • pp.1042-1042
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    • 2001
  • In linear discriminant analysis there are two important properties concerning the effectiveness of discriminant function modeling. The first is the separability of the discriminant function for different classes. The separability reaches its optimum by maximizing the ratio of between-class to within-class variance. The second is the stability of the discriminant function against noises present in the measurement variables. One can optimize the stability by exploring the discriminant variates in a principal variation subspace, i. e., the directions that account for a majority of the total variation of the data. An unstable discriminant function will exhibit inflated variance in the prediction of future unclassified objects, exposed to a significantly increased risk of erroneous prediction. Therefore, an ideal discriminant function should not only separate different classes with a minimum misclassification rate for the training set, but also possess a good stability such that the prediction variance for unclassified objects can be as small as possible. In other words, an optimal classifier should find a balance between the separability and the stability. This is of special significance for multivariate spectroscopy-based classification where multicollinearity always leads to discriminant directions located in low-spread subspaces. A new regularized discriminant analysis technique, the principal discriminant variate (PDV) method, has been developed for handling effectively multicollinear data commonly encountered in multivariate spectroscopy-based classification. The motivation behind this method is to seek a sequence of discriminant directions that not only optimize the separability between different classes, but also account for a maximized variation present in the data. Three different formulations for the PDV methods are suggested, and an effective computing procedure is proposed for a PDV method. Near-infrared (NIR) spectra of blood plasma samples from daily monitoring of two Japanese cows have been used to evaluate the behavior of the PDV method in comparison with principal component analysis (PCA), discriminant partial least squares (DPLS), soft independent modeling of class analogies (SIMCA) and Fisher linear discriminant analysis (FLDA). Results obtained demonstrate that the PDV method exhibits improved stability in prediction without significant loss of separability. The NIR spectra of blood plasma samples from two cows are clearly discriminated between by the PDV method. Moreover, the proposed method provides superior performance to PCA, DPLS, SIMCA md FLDA, indicating that PDV is a promising tool in discriminant analysis of spectra-characterized samples with only small compositional difference.

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