• 제목/요약/키워드: Stochastic Generation

검색결과 171건 처리시간 0.025초

Disaggregation 모형에 의한 월유량의 추계학적 모의발생 (A Stochastic Generation of Synthetic Monthly Flow by Disaggregation Model)

  • 박찬영;서병하
    • 물과 미래
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    • 제19권2호
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    • pp.167-180
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    • 1986
  • 추계 수문학 분야에서 중요한 기법으로 인정이 되어져 가고 있으며 점차 이용도가 높아져 가고 있는 분해모형(Disaggregation Model)을 국내 하천유량의 모의발생에 적용가능성을 파악하기 위해서 이 모형의 구조와 매개변수 산정 방법과 년유량을 월유량으로 분해시키고 발생유량 계열의 통계학적 분석을 실시하였으며 타모형과의 비교를 위해서 Thomas-Fiering 모형을 사용하여 그 결과들을 비교 검토하여 실무에 적용시킬 수 있는 가능성을 평가하였다.

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저수지 최적운영모형을 위한 추계학적 모의 발생 모형의 유도 (Stochastic Generation Model Development for Optimum Reservoir Operation of Water Distribution System)

  • 김태균;윤용남;김중훈
    • 대한토목학회논문집
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    • 제14권4호
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    • pp.887-896
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    • 1994
  • 일반적으로 다목적댐을 대상으로 하는 최적운영모형에 이용되는 각종 추계학적 모의 모형은 주로 저수지 유입량을 모의하기 위한 모형이며, 시스템으로부터의 용수수요량과 같은 변수들은 일정한 값을 가진다고 가정한다. 그러나 특수한 목적의 저수지의 경우 시스템 구성인자들 사이에 어떤 상관성이 있다면, 이를 이용하여 각 변수들의 관계를 도출한 후, 시스템을 구성하는 것이 바람직하다. 본 연구에서는 농업용수 공급을 목적으로 하는 다목적댐을 대상으로 강우 및 기상조건에 영향을 받는 순별 저수지 유입량과 농업용수 수요량을 각각 일정변수 주기성 자기회귀모형과 일정변수 주기성 다변량 자기회귀모형을 이용하여 모의발생 하였다. 유도된 모형은 각 변수의 통계화적 특성을 잘 나타내며, 농업용수 수요량의 경우 전(前) 시간의 수요량보다는 현재 운영기간(순(旬))의 저수지 유입량과의 상관관계에 더 큰 영향을 받는 것으로 나타냈다.

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Stochastic Channel Modeling for Railway Tunnel Scenarios at 25 GHz

  • He, Danping;Ai, Bo;Guan, Ke;Zhong, Zhangdui;Hui, Bing;Kim, Junhyeong;Chung, Heesang;Kim, Ilgyu
    • ETRI Journal
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    • 제40권1호
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    • pp.39-50
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    • 2018
  • More people prefer using rail traffic for travel or for commuting owing to its convenience and flexibility. The railway scenario has become an important communication scenario in the fifth generation era. The communication system should be designed to support high-data-rate demands with seamless connectivity at a high mobility. In this paper, the channel characteristics are studied and modeled for the railway tunnel scenario with straight and curved route shapes. On the basis of measurements using the "Mobile Hotspot Network" system, a three-dimensional ray tracer (RT) is calibrated and validated for the target scenarios. More channel characteristics are explored via RT simulations at 25.25 GHz with a 500-MHz bandwidth. The key channel parameters are extracted, provided, and incorporated into a 3rd-Generation-Partnership-Project-like stochastic channel generator. The necessary channel information can be practically realized, which can support the link-level and system-level design of the communication system in similar scenarios.

BIVARIATE ANALYSIS에 의한 월류량에 모의발생에 관한 연구 (A STUDY ON SYNTHETIC GENERATION OF MONTHLY STREAMFLOW BY BIVARIATE ANALYSIS)

  • 서병하;윤용남;강관원
    • 물과 미래
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    • 제12권2호
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    • pp.63-69
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    • 1979
  • The sequences of monthly streamflows constitute a non-statonary time series. The purely stochastic model has been applied to data generation of non-stationary time series. Tow different mothods--single site and multisite generation--have been used on the hydrologic time series. In this study the synthetic generation method by bivariate analysis, studied by Thomas Fiering, one of multi-site models, has been applied to the historical data on monthly streamflows at two sites in Nakdong River, and also for validity of this model the single site Thomas Fiering model applied. Through statistical analysis it has been shown that the performance of bivariate Thomas Fiering model was better than that of the other. By comparison of mean and standard deviaion between the historical and the generated, and cross correlogram interpretation, it has been known that the model used herein has good performance to simultaneously generate the monthly streamflows at two sites in a river hasin.

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대전시 공공하수처리시설 유입수 수질자료의 통계적 특성 및 추계학적 모의 (Statistical Characteristics and Stochastic Modeling of Water Quality Data at the Influent of Daejeon Wastewater Treatment Plant)

  • 박기정;정민재;이한샘;김덕우;윤재영;백경록
    • 한국물환경학회지
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    • 제28권1호
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    • pp.38-49
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    • 2012
  • In this study, we analyze statistical characteristics of influent water quality in Daejeon waste water treatment plant and apply a stochastic model for data generation. In the analysis, the influent water quality data from year 2003 to 2008, except for year 2006, are used. Among water quality variables, we find strong correlations between BOD and T-N; T-N and T-P; BOD and T-P; $COD_{Mn}$ and T-P; and BOD and $COD_{Mn}$. We also find that different water quality variables follow different theoretical probability distribution functions, which also depends on whether the seasonal cycle is removed. Finally, we generate the influent water quality data using the multi-season 1st Markov model (Thomas-Fiering model). With model parameters calibrated for the period 2003~2005, the generated data for 2007~2008 are well compared with observed data showing good agreement in general. BOD and T-N are underestimated by the stochastic model. This is mainly due to the statistical difference in observed data itself between two periods of 2003~2005 and 2007~2008. Therefore, we expect the stochastic model can be applied with more confidence in the case that the data follows stationary pattern.

확률적 DTN 모델에서 효율적인 중계 노드 선택 방법 (Efficient Relay Node Selection in Stochastic DTN Model)

  • 도윤형;이강환
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2017년도 춘계학술대회
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    • pp.367-370
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    • 2017
  • 본 논문은 확률적 DTN 모델 내에서 효율적인 중계 노드를 선택하기 위한 방법을 제안한다. Delay Tolerant Network(DTN)은 효율적인 통신을 위해 묶음 계층(bundle layer)를 생성해 서로 다른 네트워크 및 이기종간의 네트워크 간 중계 노드를 선택하고 메시지를 전달하는 Carry and forward 방식을 사용한다. DTN은 기본적으로 유동적인 노드로 구성되어 고정된 라우팅 루트가 없으며 간헐적인 연결로 인해 긴 지연시간을 가진다. 따라서 DTN을 구성하는 노드들은 필수적으로 메시지를 저장하기 위한 특성을 가지며 저장된 메시지와 노드의 용량은 네트워크의 성능에 영향을 주게 된다. 확률적 DTN 모델은 이러한 DTN의 성능을 분석하기 위해 시간에 따라 무작위적으로 변화하는 Markov 모델을 제안하였다. 하지만 제안된 확률적 DTN 모델에서는 네트워크의 성능을 향상시키기 위한 방법에 대한 연구가 미비하였다. 본 논문은 네트워크의 성능을 향상시키기 위해 확률적 DTN 모델에서 메시지의 생성과 소멸을 통해 분석된 확률적 메시지 분포와 상호 접촉 시간을 이용해 효율적인 중계 노드를 선택하는 알고리즘을 제안한다.

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Development of ESS Scheduling Algorithm to Maximize the Potential Profitability of PV Generation Supplier in South Korea

  • Kong, Junhyuk;Jufri, Fauzan Hanif;Kang, Byung O;Jung, Jaesung
    • Journal of Electrical Engineering and Technology
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    • 제13권6호
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    • pp.2227-2235
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    • 2018
  • Under the current policies and compensation rules in South Korea, Photovoltaic (PV) generation supplier can maximize the profit by combining PV generation with Energy Storage System (ESS). However, the existing operational strategy of ESS is not able to maximize the profit due to the limitation of ESS capacity. In this paper, new ESS scheduling algorithm is introduced by utilizing the System Marginal Price (SMP) and PV generation forecasting to maximize the profits of PV generation supplier. The proposed algorithm determines the charging time of ESS by ranking the charging schedule from low to high SMP when PV generation is more than enough to charge ESS. The discharging time of ESS is determined by ranking the discharging schedule from high to low SMP when ESS energy is not enough to maintain the discharging. To compensate forecasting error, the algorithm is updated every hour to apply the up-to-date information. The simulation is performed to verify the effectiveness of the proposed algorithm by using actual PV generation and ESS information.

Development of Pareto strategy multi-objective function method for the optimum design of ship structures

  • Na, Seung-Soo;Karr, Dale G.
    • International Journal of Naval Architecture and Ocean Engineering
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    • 제8권6호
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    • pp.602-614
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    • 2016
  • It is necessary to develop an efficient optimization technique to perform optimum designs which have given design spaces, discrete design values and several design goals. As optimization techniques, direct search method and stochastic search method are widely used in designing of ship structures. The merit of the direct search method is to search the optimum points rapidly by considering the search direction, step size and convergence limit. And the merit of the stochastic search method is to obtain the global optimum points well by spreading points randomly entire the design spaces. In this paper, Pareto Strategy (PS) multi-objective function method is developed by considering the search direction based on Pareto optimal points, the step size, the convergence limit and the random number generation. The success points between just before and current Pareto optimal points are considered. PS method can also apply to the single objective function problems, and can consider the discrete design variables such as plate thickness, longitudinal space, web height and web space. The optimum design results are compared with existing Random Search (RS) multi-objective function method and Evolutionary Strategy (ES) multi-objective function method by performing the optimum designs of double bottom structure and double hull tanker which have discrete design values. Its superiority and effectiveness are shown by comparing the optimum results with those of RS method and ES method.

국내 지진 기록을 이용한 약진 지역에서의 인공지진파 발생에 관한 연구 (Generation of Artificial Earthquake Ground Motions for the Area with Low Seismicity)

  • 김승훈;이승창;한상환;이리형
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 1998년도 가을 학술발표회 논문집
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    • pp.497-504
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    • 1998
  • In the nonlinear dynamic structural analysis, the given ground excitation as an input should be well defined. Because of the lack of recorded accelerograms in Korea, it is required to generate an artificial earthquake by a stochastic model of ground excitation with various dynamic properties rather than recorded accelerograms. It is well own that earthquake motions are generally non-stationary with time-varying intensity and frequency content. Many researchers have proposed non-stationary random process models. Yeh and Wen (1990) proposed a non-stationary stochastic process model which can be modeled as components with an intensity function, a frequency modulation function and a power spectral density function to describe such non-stationary characteristics. This model is based on the simulation for the strong-motion earthquakes with magnitude greater than approximately 5.0~6.0, because it will be not only expected to cause structural damage but also involved the characteristics of earthquake motions. Also, the recorded earthquake motion within this range are still very scarce in Korea. Thus, it is necessary to verify the model by the application of it to the mid-magnitude (approximately 4.0~6.0) earthquakes actually recorded in domestic or foreign area. The purpose of the paper is to generate an artificial earthquake using the model of Yeh and Wen in the area with low seismicity.

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Pareto 최적점 기반 다목적함수 기법 개발에 관한 연구 (Development of a Multi-objective function Method Based on Pareto Optimal Point)

  • 나승수
    • 대한조선학회논문집
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    • 제42권2호
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    • pp.175-182
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    • 2005
  • It is necessary to develop an efficient optimization technique to optimize the engineering structures which have given design spaces, discrete design values and several design goals. As optimization techniques, direct search method and stochastic search method are widely used in designing of engineering structures. The merit of the direct search method is to search the optimum points rapidly by considering the search direction, step size and convergence limit. And the merit of the stochastic search method is to obtain the global optimum points by spreading point randomly entire the design spaces. In this paper, a Pareto optimal based multi-objective function method (PMOFM) is developed by considering the search direction based on Pareto optimal points, step size, convergence limit and random search generation . The PMOFM can also apply to the single objective function problems, and can consider the discrete design variables such as discrete plate thickness and discrete stiffener spaces. The design results are compared with existing Evolutionary Strategies (ES) method by performing the design of double bottom structures which have discrete plate thickness and discrete stiffener spaces.