• Title/Summary/Keyword: GM모형

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막분리(NF, UF)를 이용한 자연유기물(NOM) 제거에 관한 연구(II) - NF, UF 운전특성과 HAA생성능 제거 -

  • Song, Yang-Seok;Park, Yong-Hun;Jo, Yeong-Gwan;Jo, Jae-Won;Park, Don-Hui
    • 한국생물공학회:학술대회논문집
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    • 2003.04a
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    • pp.334-338
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    • 2003
  • In this study, We evaluated the removal efficiency of natural organic matters(NOM) in the Ultrafiltration(UF) and Nanofiltration(NF) membranes with molecular weight cutoff of 2500(GH), 8000(GM) and 250(HL), respectively. Filtration type was cross-flow filtration. The investigation result about raw water structure was hydrophobic 28%, hydrophilic 53% and transphilic 19%, in conjunction with XAD8/4 resin fractionation method. We were compared with UF(GM, GH) and NF(HL), in operation characteristic. In spite of poor MWCO, GM(8000Da) was superior than GH(2500Da), in the efficiency of total operation. It was showed the NF(HL) 80%, UF(GM) 50%, in the removing efficiency of HAAFP.

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Impact of Various Feedstock Attributes on the Social Acceptance on Bioethanol Promotion in South Korea (바이오에탄올 보급에 대한 사회적 수용성 분석: 바이오에탄올 원료 속성을 중심으로)

  • Li, Dmitriy D.;Bae, Jeong Hwan
    • Environmental and Resource Economics Review
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    • v.30 no.1
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    • pp.49-77
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    • 2021
  • This study uses a choice experiment approach to examine whether different types of feedstocks as well as other attributes such as the cost of bioethanol, bioethanol blending ratio, and government support policies affect consumers' biofuel preferences. We apply a standard conditional logit model, a mixed logit model (MLM), and individual coefficient estimation model (ICM) to estimate the parameters of the investigated attributes. The results show that people prefer domestic and non-food feedstock, along with tax exemption as a support policy. All the attributes show unobservable preference heterogeneity in the MLM and ICM. In particular, willingness to pay for attributes are higher in the genetically modified (GM) feedstock-unknown group than in the known one. We show the importance of using domestic and non-food feedstocks and managing GM feedstocks carefully to avoid consumer resistance when producing bioethanol in South Korea.

Development of Car Following Model of Adaptive Cruise Controlled Vehicle Considering Human Factors (인간공학적 요소를 반영한 첨단차량 추종모형)

  • Park, Hee-Je;Bae, Sang-Hoon;Jung, Hee-Jin
    • Journal of Korean Society of Transportation
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    • v.26 no.2
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    • pp.121-133
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    • 2008
  • Conventional car following models are controlled when the velocity of following vehicle is equal to preceding vehicle without consideration of relative distance. Also, since the car following models are hardly consider the driver's behaviors and the environmental factors in driving, the models can't be adopted in reality. Hence, we developed the car following model applying Human Factors to consider driver's safety and comfortness. We simulated to compare the suggested model with the existing model, GGM(General GM). As results of simulations, the GGM model followed the preceding vehicle when the velocity of following vehicle was equal to preceding vehicle without relation of relative range. The other side, when the relative range was less or over than safety range, the suggested model made the relative range equal to safety range. Accordingly, we could be sure that the model would decrease the driver's discomfort and intensify the safety on driving without unnecessary waste of road. We identified that the suggested model is more realistic than the conventional GGM model.

A development of multivariate drought index using the simulated soil moisture from a GM-NHMM model (GM-NHMM 기반 토양함수 모의결과를 이용한 합성가뭄지수 개발)

  • Park, Jong-Hyeon;Lee, Joo-Heon;Kim, Tae-Woong;Kwon, Hyun Han
    • Journal of Korea Water Resources Association
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    • v.52 no.8
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    • pp.545-554
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    • 2019
  • The most drought assessments are based on a drought index, which depends on univariate variables such as precipitation and soil moisture. However, there is a limitation in representing the drought conditions with single variables due to their complexity. It has been acknowledged that a multivariate drought index can more effectively describe the complex drought state. In this context, this study propose a Copula-based drought index that can jointly consider precipitation and soil moisture. Unlike precipitation data, long-term soil moisture data is not readily available so that this study utilized a Gaussian Mixture Non-Homogeneous Hidden Markov chain Model (GM-NHMM) model to simulate the soil moisture using the observed precipitation and temperature ranging from 1973 to 2014. The GM-NHMM model showed a better performance in terms of reproducing key statistics of soil moisture, compared to a multiple regression model. Finally, a bivariate frequency analysis was performed for the drought duration and severity, and it was confirmed that the recent droughts over Jeollabuk-do in 2015 have a 20-year return period.

The Development and Application of Practical Problem-based Lesson Plan on Consumer Choice of Genetically Modified Food - Focused on the 'Dietary Life' in High School Home Economics - (유전자변형식품 선택의 실천적문제중심 교수.학습 과정안 개발 및 적용 - 고등학교 식생활 영역 -)

  • Kang, Kyung-Hwa;Kim, Young-Nam
    • Journal of Korean Home Economics Education Association
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    • v.22 no.2
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    • pp.101-113
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    • 2010
  • The purpose of this study is to develop and evaluate the practical problem-based lesson plan for high school home economics class focusing on consumer choice of genetically modified(GM) food. The ADDIE instructional design model was applied. The first analysis step, practical problems were chosen based on the previous studies and the educational goal suggested in the 2007 revised curriculum. The next design and development steps, 4 hours of lesson plans were developed by reconstitution a chapter of Food Safety. Additional learning materials(17 student activity papers, 17 student reading materials, 3 teacher reading materials) were also developed. The implementation step, the lesson plans developed were applied to the S high school students in Bundang, Geyonggi-do. The last evaluation step, the perception change about GM food and the adequacy of teaching method were evaluated. As results, the studens' attitudes and minds towards the GM food were changed. The level of concern on GM food increased, and the ratio of students who would check whether GM food or not was increased. Also students showed high level of satisfaction on teaching method and materials.

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Optimal Multi-Model Ensemble Model Development Using Hierarchical Bayesian Model Based (Hierarchical Bayesian Model을 이용한 GCMs 의 최적 Multi-Model Ensemble 모형 구축)

  • Kwon, Hyun-Han;Min, Young-Mi;Hameed, Saji N.
    • Proceedings of the Korea Water Resources Association Conference
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    • 2009.05a
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    • pp.1147-1151
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    • 2009
  • In this study, we address the problem of producing probability forecasts of summer seasonal rainfall, on the basis of Hindcast experiments from a ensemble of GCMs(cwb, gcps, gdaps, metri, msc_gem, msc_gm2, msc_gm3, msc_sef and ncep). An advanced Hierarchical Bayesian weighting scheme is developed and used to combine nine GCMs seasonal hindcast ensembles. Hindcast period is 23 years from 1981 to 2003. The simplest approach for combining GCM forecasts is to weight each model equally, and this approach is referred to as pooled ensemble. This study proposes a more complex approach which weights the models spatially and seasonally based on past model performance for rainfall. The Bayesian approach to multi-model combination of GCMs determines the relative weights of each GCM with climatology as the prior. The weights are chosen to maximize the likelihood score of the posterior probabilities. The individual GCM ensembles, simple poolings of three and six models, and the optimally combined multimodel ensemble are compared.

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The Study on influence of test factors for WorldSID injury through AE-MDB side crash test (AE-MDB시험 시 인체모형 상해치에 대한 시험 인자 영향성 연구)

  • Sun, Hongyul;Han, Pyokyong;Oh, Eunkyung;Yoon, Ilsung
    • Journal of Auto-vehicle Safety Association
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    • v.7 no.1
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    • pp.7-12
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    • 2015
  • NCAP(New Car Assessment Program) makes vehicle manufacturer improve safety performance through free competition and customers guarantee vehicle selection by providing information of vehicle safety. That's why it is important not only to meet the regulation, but also to cope with NCAP. EuroNCAP(European New Car Assessment Program) side tests have conducted by using Progressive MDB and Euro SID II in order to reproduce crash test between two vehicles over 10 years. However various researches report that Progressive MDB and Euro SID II do not reflect evolving vehicle design, impact performance and biofidelity of human. Therefore EuroNCAP has the plan to conduct AE-MDB side crash test using WorldSID which is more evolved from 2015 by replacing Progressive MDB and EuroSID II. Automobile manufacturers need to develop safety performance for new test closely. This paper is to find test set-up parameters which affect into dummy injury instead of restraint system and to research on its tendency. It is processed with mini and small car to know influence as changing vehicle size and also analyzed by DFSS(Design for six sigma) which is one of optimization tools. DFSS is vaildated by simulating CAE with L18 orthogonal array of 6 control factors adjustable as EuroNCAP requirement.

Injury Study for Q6 and Q10 Child Dummies (Q6, Q10 어린이 인체모형의 상해치 연구)

  • Sun, Hongyul;Lee, Seul;Seok, Juyup;Yoo, Wonjae;Yoon, Ilsung
    • Journal of Auto-vehicle Safety Association
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    • v.8 no.1
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    • pp.31-37
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    • 2016
  • The Child Occupant Safety Assessment was first introduced and carried out by Euro NCAP in 2003, with the goal of ensuring manufacturers to develop safe vehicles for passengers of all ages; the objective was to evaluate the safety and protection offered by different Child Restraint Systems (CRS) in the event of a crash. In 2013, the formerly used P child dummy series was replaced by newer and more biofidelic Q1.5 and Q3 child dummies, representing 1.5 and 3 year old children respectively. The frontal and side impact dynamic performances of the Q1.5 and Q3 were tested within all classes of vehicles assessed by Euro NCAP at the time. As an extension to that initiative, Q6 and Q10 child dummies were later developed representing children of 6 and 10 years old. Since the protection of larger children during vehicle crashes relies greatly on the interaction of vehicle restraint systems such as seat belt and the CRS, instrumented Q6 and Q10 dummies will be used to assess the protection offered in the event of front and side impact crashes. In this paper, we focused on injury criteria of Q6 and Q10 child dummies at 64 kph 40% offset frontal crash test. The whole procedure was designed with DFSS analysis. The full vehicle sled test results of both dummies were conducted with different restraint systems settled through previous sled test. It showed that several injury criteria and image data were collected as the result of the full vehicle sled test. Based on the results of these investigations, this paper describes which factor is most important and combination shows the best performance when evaluating rear seat occupant protection for Q6 and Q10 child dummies.

Parameter Calibration of Car Following Models Using DGPS DATA (DGPS 수신장치를 활용한 차량추종 모형 파라미터 정산)

  • Kim, Eun-Yeong;Lee, Cheong-Won;Kim, Yong-Jin
    • Journal of Korean Society of Transportation
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    • v.24 no.3 s.89
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    • pp.17-27
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    • 2006
  • Car following model is a theory that examines changes of condition and interrelationship of acceleration deceleration. headway, velocity and so on closely based on the hypothesis that the Posterior vehicle always follows the preceding vehicle. Car following mode) which is one of the research fields of microscopic traffic flow was first introduced in 1950s and was in active progress in 1960s. However, due to the limitation of data gathering the research depression was prominent for quite a while and then soon was able to tune back on track with development in global positioning system using satellite and generalization of computer use. Recently, there has been many research studies using reception materials of global Positioning system(GPS). Introducing GPS technology to traffic has made real time tracking of a vehicle position possible. Position information is sequential in terms of time and simultaneous measurement of several vehicles in continuous driving is also practicable. Above research was focused on judging whether it is feasible to overcome the following model research by adopting the GPS reception device that was restrictively proceeded due to the limitation of data gathering. For practical judgment, we measured the accuracy and confidence level of the GPS reception devices material by carrying out a practical experiment. Car following model is also being applied in simulations of traffic flow analysis, but due to the difficulty of estimating parameters the basis of the above result. it is our goal to produce an accurate calibration of car following model's parameters that is suitable in this domestic actuality.

Analysis of Car Following Model of Adaptive Cruise Controlled Vehicle Considering the Road Conditions According to Weather Circumstance (기상상황에 따른 노면상태를 고려한 첨단차량 추종거동 모형의 분석)

  • Kim, Tae-Uk;Bae, Sang-Hoon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.12 no.3
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    • pp.53-64
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    • 2013
  • The car-following model is one of core models in Advanced Vehicle & Highway Systems (AVHS). The car-following model has been developed in aspects such as human factor and reduction error rates. However, the consideration of safety depending on weather condition has not been completed yet. In this paper, therefore, changes of driving condition for car-following due to different road condition were dealt with, and optimal safety distance corresponding to road condition such as dry, wet and snowy were computed. The GMIT(GM Model with Instantaneous T) model was picked over for simulation of adaptive cruise control applied the suggested optimal safety distance. As the results, the 1.7 times longer safety distance was required for wet road condition than dry road condition, and the 5.6 times longer safety distance was required for snowy road condition.