• Title/Summary/Keyword: 최적선정

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Production of Biosurfactant Using Bacillus spp (Bacillus spp.를 이용한 Biosurfactant 생산공정)

  • Hur, Sung-Ho;Yang, Ji-Seok;Hong, Jeong-Hwa
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.31 no.3
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    • pp.389-393
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    • 2002
  • Among the bacterial strains isolated from chungkook-jang, Bacillus subtilis CH-1, Bacills circulans K-1 and Bacillus subtitis (natto) N-1, Bacillus subtitis CH-1 showed the highest productivity of biosufactant. A-medium was selected for the basal medium in the large scale production of biosurfactant, and modified to synthetic medium which containing 2% glucose, 0.3% soy peptone, and mineral salts. The surface tension was reduced to maximal value after 96 hr after fermentation, about the 43% of initial tension. Temperature and initial pH of medium was not critical factor for the biosurfactant production. The yield of crude biosurfactant was 6 g/L under the optimum condition.

A Study on Design Section of Composite Steel H-Beam Bridge Based on KRTA Design Specifications (도로교 설계기준을 적용한 초간편 H-형강 강합성 교량 설계단면 연구)

  • Park, Jong-Sup;Kim, Jae-Heung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.9 no.6
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    • pp.1711-1717
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    • 2008
  • This paper presents an investigation on behavior of a simplified composite I-beam bridge(SCIB) based on Korea Bridge Design Specifications(2005). Simple and continuous span SCIBs are considered to determine the design cross section. A structural analysis program, MIDAS(2006), is used to obtain the stress and deflection of the SCIB. In order to evaluate the safety of the design cross section, three-dimensional analysis is performed using ABAQUS(2007). According to the verification results from stresses and deflections of the design section, the new composite bridge are safely used for developments of reasonable and economic SCIB.

A Study on the Best Selection of Lightning Arrester for DC Electric Traction Vehicles (직류전동차 탑재용 피뢰기의 최적선정에 관한 연구)

  • Cha, Myung-Soo;Song, Jae-Yong;Kim, Il-Kwon;Kil, Gyung-Suk;Lee, Dae-Sung;Park, Jae-Kyu
    • Proceedings of the KIEE Conference
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    • 2006.07c
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    • pp.1519-1520
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    • 2006
  • This paper describes a selection and application recommendations of ZnO arresters on DC electric traction vehicles. We measured and analyzed the system voltages applied to arresters and the surge currents flowing arresters on DC electric traction vehicles under operation to decide the Continuous Operating Voltage($U_C$), the Rated Voltage($U_R$), and the Nominal Discharge Current($I_n$). System voltages measured up to 1,800 V during anti-breaking in 1,500 V-system, and surge currents were recorded up to 3 times per running-service-route and their magnitudes were ranges of $150A{\sim}2kA$. From these results and the standard EN50163, we proposed the Continuous Operating Voltage($U_C$) the Rated Voltage($U_R$) for the $1,500V_{dc}$ electric traction vehicles.

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Size and Shape Optimization of Truss Structures using Micro Genetic Algorithm (마이크로 유전 알고리즘을 이용한 트러스 구조물의 단면 및 형상 최적화)

  • Kim, Dae-Hwan;Yoon, Byoung-Wook;Lee, Jae-Hong
    • Journal of Korean Society of Steel Construction
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    • v.23 no.4
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    • pp.465-474
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    • 2011
  • In this study, a microgenetic algorithm was used to find the optimum cross-section and shape of dome structures. The allowable stress and Euler buckling stress were considered constraints when the weight of the trusses was minimum. The design optimization of the truss structures involved arriving at the optimum sizes of the cross-section and geometric coordinate. The features of the proposed method, which helped in the modeling of and application to the optimal design of truss structures, were demonstrated using the microgenetic algorithm, by solving sample problems.

A Study on Knowledge-based Alternatives Analysis Model(KAAM) for the Best Decision Making in Weapon Systems Acquisition (무기체계 획득시 최적 의사결정을 위한 지식기반 대안분석모델(KAAM) 연구)

  • Park, Kwang-Woong;Lee, Kang-Yeong;Kim, Chi-Han;Choi, Sang-Young
    • Journal of the military operations research society of Korea
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    • v.33 no.1
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    • pp.1-18
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    • 2007
  • In the early stage of weapon system acquisition process, acquisition policy is necessarily established to acquire weapon system in a faster, better, cheaper way. Several alternatives, such as "buy", "domestic research and development", and "technical corporative production", can be considered for the best acquisition policy making. However, the comparison factors for those alternatives have different metrics and values. Therefore, the aim of this paper is to suggest KAAM(Knowledge-based Alternatives Analysis Model) as a scientific method to compare the alternatives having such different metrics and values and giving a weighted and normalized single measurement for the easy comparison. KAAM is a hybrid model incorporating Satty technique, Delphi/Shang method, Consensus method, and SAW method. KAAM is implemented on Microsoft Excel environment and provided tabular form user interface. Finally, an illustrative example is shown using KAAM.

Mitigation Efficiency of Parapet Wall against Sea Wave Overtopping at Coastal Basin (월파방지벽을 이용한 해안도시 침수저감 효과분석)

  • Kim, Won Bum;Son, Kwang Ik;Jung, Woo Chang
    • Proceedings of the Korea Water Resources Association Conference
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    • 2019.05a
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    • pp.268-268
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    • 2019
  • 이상기후 등 전 지구적 기후 변화로 인하여 해수면 상승과 태풍에 의한 해일고 증가로 인하여 해안지역의 침수 재해 발생빈도가 증가되고 있다. 우리나라도 지난 2002년 발생한 태풍 '루사' 와 2003년 발생한 태풍 '매미' 뿐만 아니라 2016년 태풍 '차바'로 인해 부산 및 울산 등 남부 해안지역 침수되는 등 막대한 재산과 인명피해 발생 빈도가 증가하고 있는 실정이다. 따라서 본 연구에서는 해수면 상승 또는 해일로 인하여 해안도시가 침수되는 현상을 모의하기 위하여 천수방정식을 지배방정식으로 하고 유한체적법과 well-balanced 기법이 적용된 2차원 수치모형을 개발하여 침수 모의 결과에 대한 적절성을 검토하였다. 또한 개발된 모형을 이용하여 해수침수 저감을 위한 월파 방지벽의 설치효과를 수문학적/경제학적으로 분석하여 최적의 대안을 제안하고자 하였다. 모의결과의 검증을 위해서 2003년 발생한 태풍 '매미'로 인하여 침수가 발생한 창원시의 침수흔적과 모의결과를 비교검토하였다. 또한 해수면 상승에 대한 방어적 기법으로 월파방지벽을 선정하고 다양한 월파방지벽의 높이에 따른 시공적 침수규모에 대한 분석과 함께 피해액과 시공비를 고려한 경제성 분석을 통하여 최적의 월파방지벽 규모와 그 효과를 분석하였다. 본 연구결과는 지점별 침수규모 및 최대 침수심 발생시간을 제공함으로써 침수에 따른 중장기적 구조적 대응방안 수립은 물론 초단기적 예상 해수면 상승에 따른 대피경로의 효율적 운용 등 비구조적 수재해 대응 기법을 제시하는 기초자료 제공에 활용할 수 있을 것으로 기대된다.

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Shape Design based on Topology Optimization for Manufacturing of Lightweight Valve Disc by 3-D Printing (3차원 프린팅에 의한 경량 밸브 디스크 제조를 위한 위상최적화 기반의 형상 설계)

  • Kim, Taehyung
    • Journal of Energy Engineering
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    • v.27 no.4
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    • pp.13-19
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    • 2018
  • In this study, the lightweight design of butterfly valve disc component for power plant based on topology optimization was performed. Here, commercial finite element (FE) analysis software was used. The external shape of the basic disc model was not deformed, and the internal element density was removed to make it lightweight. Optimal design was performed each other after the disc plate and two brackets attached on the surface of the disc were separated. Once the optimal shapes were selected, they were assembled to build up the 3-D lightweight valve disc model. After applying pressure to this model, FE analysis was performed to confirm the structural safety.

Development of Biogas Purification System for City Gas Supply (도시가스 용 바이오 가스 정제 시스템 개발)

  • Lee, Hyunjin;Ko, Sang-Wook;Lee, In-Dong;Jung, In Hee;Ko, Jae-Wook
    • Journal of the Korean Institute of Gas
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    • v.23 no.2
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    • pp.61-67
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    • 2019
  • Korea is natural gas importer which imports a lot quantities which 20% of the volume of US exports in 2018. Biogas which can satisfy gas demand and respond effectively to climate change, will be an alternative. However, only 20% of biogas production is sold, which is also not efficient and difficult to use. The purpose of this study develops an optimal purification system for supplying biogas as city gas. We develope an optimal system by analyzing biogas for system selection, finding cases for system design, developing scenario, and developing a cost - benefit tool.

Selection of Optimal Processing Conditions for Quartz Using the Taguchi Method (다구찌법을 이용한 석영의 최적 가공조건 선정에 관한 연구)

  • Jeong, Ho-In;Choi, Seong-Jun;Lee, Choon-Man
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.21 no.2
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    • pp.123-129
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    • 2022
  • Quartz (SiO2) has high abrasion and heat resistances and excellent chemical and mechanical properties; therefore, it is used in various industries, such as machinery, chemistry, optics, and medicine. Quartz is a high-hardness and brittle material and is classified as the topmost difficult-to-cut material, which is because of the cracking or chipping at the edge during processing. Corner wear, such as cracks and chippings that occur during cutting, is a major cause for the deterioration in the machining quality. Therefore, many researchers are investigating various techniques to process quartz effectively. However, owing to the mechanical properties of quartz, most studies have been conducted on grinding, micromachining, and microdrilling. Few studies have been conducted on quartz processing. The purpose of this study was to analyze the machining characteristics according to the machining factors during the slot machining of quartz using a cubic boron nitride (CBN) tool and to select the optimal machining conditions using the Taguchi method. The machining experiment was performed considering three process variables: the spindle speed, feed rate, and depth of cut. The cutting force and surface roughness were analyzed according to the processing conditions.

Machine Learning based Optimal Location Modeling for Children's Smart Pedestrian Crosswalk: A Case Study of Changwon-si (머신러닝을 활용한 어린이 스마트 횡단보도 최적입지 선정 - 창원시 사례를 중심으로 -)

  • Lee, Suhyeon;Suh, Youngwon;Kim, Sein;Lee, Jaekyung;Yun, Wonjoo
    • Journal of KIBIM
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    • v.12 no.2
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    • pp.1-11
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    • 2022
  • Road traffic accidents (RTAs) are the leading cause of accidental death among children. RTA reduction is becoming an increasingly important social issue among children. Municipalities aim to resolve this issue by introducing "Smart Pedestrian Crosswalks" that help prevent traffic accidents near children's facilities. Nonetheless such facilities tend to be installed in relatively limited number of areas, such as the school zone. In order for budget allocation to be efficient and policy effects maximized, optimal location selection based on machine learning is needed. In this paper, we employ machine learning models to select the optimal locations for smart pedestrian crosswalks to reduce the RTAs of children. This study develops an optimal location index using variable importance measures. By using k-means clustering method, the authors classified the crosswalks into three types after the optimal location selection. This study has broadened the scope of research in relation to smart crosswalks and traffic safety. Also, the study serves as a unique contribution by integrating policy design decisions based on public and open data.