• 제목/요약/키워드: Basic Modeling

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통합 물환경 관리를 위한 개방형 모델링 플랫폼 고찰 (A Review of Open Modeling Platform Towards Integrated Water Environmental Management)

  • 이성학;신창민;이용석;조재필
    • 한국물환경학회지
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    • 제36권6호
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    • pp.636-650
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    • 2020
  • A modeling system that can consider the overall water environment and be used to integrate hydrology, water quality, and aquatic ecosystem on a watershed scale is essential to support decision-making in integrated water resources management (IWRM). In adapting imported models for evaluating the unique water environment in Korea, a platform perspective is becoming increasingly important. In this study, a modeling platform is defined as an ecosystem that continuously grows and provides sustainable values through voluntary participation- and interaction-of all stakeholders- not only experts related to model development, but also model users and decision-makers. We assessed the conceptual values provided by the IWRM modeling platform in terms of openness, transparency, scalability, and sustainability. I We also reviewed the technical aspects of functional and spatial integrations in terms of socio-economic factors and user-centered multi-scale climate-forecast information. Based on those conceptual and technical aspects, we evaluated potential modeling platforms such as Source, FREEWAT, Object Modeling System (OMS), OpenMI, Community Surface-Dynamics Modeling System (CSDMS), and HydroShare. Among them, CSDMS most closely approached the values suggested in model development and offered a basic standard for easy integration of existing models using different program languages. HydroShare showed potential for sharing modeling results with the transparency expected by model user-s. Therefore, we believe that can be used as a reference in development of a modeling platform appropriate for managing the unique integrated water environment in Korea.

공중화장실의 안전문제 해결 위한 가상현실 구현 시 상호작용 요소 연구 (A Study on the Interaction Factors in Implementing Virtual Reality to Solve Safety Problems in Public Toilets)

  • 윤신숙;송정화
    • 한국전자통신학회논문지
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    • 제17권6호
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    • pp.1167-1174
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    • 2022
  • 본 연구에서는 실제문제 해결을 위한 가상현실 모델링에서 물리적 형태를 전자적으로 모사하는 것 뿐 아니라 모사의 대상이 되는 객체와 사용자의 상호관계까지 다루어야 한다고 보았다. 이를 위하여 실제공간에서 일어나는 사용자와 공간의 상호작용 요소를 가상현실 적용에 추가하는 방안을 제안하였다. 본 연구는 공중화장실의 안전문제 해결을 위한 가상현실 모델링을 배경으로 하는데, 가상현실 모델링에 사용자와의 상호작용 요소를 추가하기 위하여 합리적인 원칙이 있어야 한다고 보고 범죄예방을 위한 환경설계 기본전략을 활용하였다. 공중화장실 위험도 평가를 위한 가상현실 모델을 구축하기 위하여 자연 감시, 영역성 강화, 활동 활성화, 유지관리를 기준으로 공중화장실과 사용자간의 상호작용요소를 도출하였다. 또한, 도출한 상호작용요소의 타당성을 검증하고자 전문가의 의견과 각 요소에 대하여 산출한 위험도와 비교하였다. 그 결과, 범죄예방을 위한 환경설계 기본 전략과 같이 일정한 원칙에 따라 상호작용 요소를 도출한 것이 타당성 있음을 보였다.

A Debate on the Use of Presaturation Method in NMR for Structure Determination of Polypeptides in $H_2O$

  • Lee, Chulhyun;Yi, Gwan-Su;Kim, Eun-Hee;Lee, Jo-Woong;Chagjoon Cheong
    • 한국자기공명학회논문지
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    • 제1권1호
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    • pp.21-29
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    • 1997
  • Three typical solvent suppression methods employed for measuring the NOE data that are used for structure determination of polypeptides by modeling were discussed and compared with one another. In the experiments with several peptides composed of 10 to 65 amino acids the presaturation method was found to give severely distorted signal intensities of exchangeable protons, thus making the results based on this method much less reliable.

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Neural-based Blind Modeling of Mini-mill ASC Crown

  • Lee, Gang-Hwa;Lee, Dong-Il;Lee, Seung-Joon;Lee, Suk-Gyu;Kim, Shin-Il;Park, Hae-Doo;Park, Seung-Gap
    • 한국지능시스템학회논문지
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    • 제12권6호
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    • pp.577-582
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    • 2002
  • Neural network can be trained to approximate an arbitrary nonlinear function of multivariate data like the mini-mill crown values in Automatic Shape Control. The trained weights of neural network can evaluate or generalize the process data outside the training vectors. Sometimes, the blind modeling of the process data is necessary to compare with the scattered analytical model of mini-mill process in isolated electro-mechanical forms. To come up with a viable model, we propose the blind neural-based range-division domain-clustering piecewise-linear modeling scheme. The basic ideas are: 1) dividing the range of target data, 2) clustering the corresponding input space vectors, 3)training the neural network with clustered prototypes to smooth out the convergence and 4) solving the resulting matrix equations with a pseudo-inverse to alleviate the ill-conditioning problem. The simulation results support the effectiveness of the proposed scheme and it opens a new way to the data analysis technique. By the comparison with the statistical regression, it is evident that the proposed scheme obtains better modeling error uniformity and reduces the magnitudes of errors considerably. Approximatly 10-fold better performance results.

Raynoise를 이용한 철도소음의 예측에 관한 연구 - 예측식과 Raynoise모델링의 비교 - (A Study on Prediction of Railway Noise Using Raynoise Modeling - A comparison of predicting expressions and Raynoise simulations -)

  • 김태구;박민수;김태오
    • 한국안전학회지
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    • 제20권2호
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    • pp.6-10
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    • 2005
  • With the rapid industrial development, railways have become a main traffic means of transportation. However, rail traffic noise and vibration have become a major problem in urban areas which is a very serious issue for the living environment. Especially, railway noise induced by rail operations has influenced on the residents living near railway tracks. The purpose of this paper is to investigate the Raynoise modeling in railway applications. Generally, my acoustics have been used to investigate the effectiveness of noise barriers in railway applications and barriers are modeled using the commercial software Raynoise. A-weighted sound pressure level have been measured at six locations, 4m from the track and are compared with experimental values. Based on the analysis of the results, Comparison between numerical and experimental values are within 1dB (A). Also, when a train is m through the Raynoise modeling, the general influential sphere of railway noise can be determined. Therefore, this study will be using basic data in establishing effective railway noise prevention plans far the future. Also, we could know that is applicable of Raynoise modeling at railway noise.

태양광에너지 중심의 신재생에너지 기술경제학 모델링 연구 (The technical-economic study of solar PV and renewable energy)

  • 이문수;이민진;이영희
    • 한국신재생에너지학회:학술대회논문집
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    • 한국신재생에너지학회 2011년도 춘계학술대회 초록집
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    • pp.136.1-136.1
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    • 2011
  • An energy modeling analysis method currently has been considered as a new approach for energy policy research, because the importance of renewable energy use has been emphasized more and more. This study used RETScreen model as a clean energy decision making methodology for adaptation to climate change and elimination of various pollutions. This modeling method includes five step standard analysis; energy model, cost analysis, GHG analysis, financial analysis, and sensitivity & risk analysis and it also assesses both conventional and modern energy sources and technologies. This methodology for the photovoltaic(PV) energy modeling is used to evaluate the energy production, financial performance and GHG emissions reduction of photovoltaic projects. In addition, the PV application systems are classified into three basic applications; On-grid system, Off-grid system and water pumping system. This study assesses the renewable energy techno-economic modeling method with the feasibility analysis result of 10 MW PV power plant in Abu Dhabi in United Arab Emirates. Furthermore this study stresses the importance of renewable energy model research by applying to domestic PV power plant which is now in preparation.

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DFT 기반의 시스템 모델링을 이용한 DC Motor의 위치제어 (The Position Control of DC Motor using the System Modeling based on the DFT)

  • 안현진;심관식;임영철;남해곤;김광헌;김의선
    • 전기학회논문지
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    • 제61권4호
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    • pp.542-548
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    • 2012
  • This study presents a new method of system modeling by using the Discrete Fourier Transform for the position control system of DC Motor. And the proposed method is similar to the method of System Identification by analysis of correlation of the measured input-output data. The measured output signals are transformed to the frequency domain using DFT. The Fourier Spectrum of the transformed signals is used for knowing to the feature of having an important effect on the system. And transfer function of the second order system is estimated by the dominant parameter which is computed in the magnitude and the phase of Fourier spectrum of the transformed signals. In addition, the output signal includes the unique feature of system. So, although the basic parameter of the system is unknown for us, the proposed method has an advantage to system modeling. And the controller is easily designed by the estimated transfer function. Thus, in this paper, the proposed method is applied to the system modeling for the position control system of DC Motor and the PD-controller is designed by the estimated model. And the efficiency and the reliability of the proposed method are verified by the experimental result.

Dam-reservoir-foundation interaction effects on the modal characteristic of concrete gravity dams

  • Shariatmadar, H.;Mirhaj, A.
    • Structural Engineering and Mechanics
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    • 제38권1호
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    • pp.65-79
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    • 2011
  • Concrete hydraulic structures such as: Dams, Intake Towers, Piers and dock are usually recognized as" Vital and Special Structures" that must have sufficient safety margin at critical conditions like when earthquake occurred as same as normal servicing time. Hence, to evaluate hydrodynamic pressures generated due to seismic forces and Fluid-Structure Interaction (FSI); introduction to fluid-structure domains and interaction between them are inevitable. For this purpose, first step is exact modeling of water-structure and their interaction conditions. In this paper, the basic equation involved the water-structure-foundation interaction and the effective factors are explained briefly for concrete hydraulic structure types. The finite element modeling of two concrete gravity dams with 5 m, 150 m height, reservoir water and foundation bed rock is idealized and then the effects of fluid domain and bed rock have been investigated on modal characteristic of dams. The analytical results obtained from numerical studies and modal analysis show that the accurate modeling of dam-reservoir-foundation and their interaction considerably affects the modal periods, mode shapes and modal hydrodynamic pressure distribution. The results show that the foundation bed rock modeling increases modal periods about 80%, where reservoir modeling changes modal shapes and increases the period of all modes up to 30%. Reservoir-dam-foundation interaction increases modal period from 30% to 100% for different cases.

자동화 비행시험기법에 의한 소형 무인헬리콥터의 파라메터 추정 (Parameter Estimation of a Small-Scale Unmanned Helicopter by Automated Flight Test Method)

  • 방극희;김낙완;홍창호;석진영
    • 제어로봇시스템학회논문지
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    • 제14권9호
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    • pp.916-924
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    • 2008
  • In this paper dynamic modeling parameters were estimated using a frequency domain estimation method. A systematic flight test method was employed using preprogrammed multistep excitation of the swashplate control input. In addition when one axis is excited, the autopilot is engaged in the other axis, thereby obtaining high-quality flight data. A dynamic model was derived for a small scale unmanned helicopter (CNUHELI-020, developed by Chungnam National University) equipped with a Bell-Hiller stabilizer bar. Six degree of freedom equations of motion were derived using the total forces and moments acting on the small scale helicopter. The dynamics of the main rotor is simplified by the first order tip-path plane, and the aerodynamic effects of fuselage, tail rotor, engine, and horizontal/vertical stabilizer were considered. Trim analysis and linearized model were used as a basic model for the parameter estimation. Doublet and multistep inputs are used to excite dynamic motions of the helicopter. The system and input matrices were estimated in the frequency domain using the equation error method in order to match the data of flight test with those of the dynamic modeling. The dynamic modeling and the flight test show similar time responses, which validates the consequence of analytic modeling and the procedures of parameter estimation.

측정한 산란계수에 의한 HEMT Modeling 변수의 결정에 관한 연구 (A Study of Determination of the Basic Device Parameters of HEMT Modeling by Measured S-parameter)

  • 박순태;손병문
    • 대한전자공학회논문지TE
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    • 제37권1호
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    • pp.1-11
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    • 2000
  • 본 논문에서는 HEMT의 산란계수와 DC특성을 측정하여 모델링 변수들을 정확하게 추출하는 방법을 제안하였다, HEMT의 소신호 등가회로 모델링 변수들 중 extrinsic 직렬 저항은 측정한 DC특성을 이용하여 FUKUI 방법으로 구하였고, 다른 모델링 변수들은 HP 8510C Network Analyzer를 사용하여 여러 바이어스에서 측정한 S-parameter를 이용하여 변수 값을 결정하였다. 최적화 과정을 거쳐 얻은 등가 회로의 중요한 변수인 gm값은 실제 측정한 gm값과 0.078%오차만을 보인 반면, 제작자가 제공한 데이터를 이용하여 최적화하여 얻은 gm값은 실제 측정한 gm값과 175.38%나 오차를 보였다. 그러므로 반드시 정확하게 측정하여 얻은 초기 값을 가지고 정확한 변수를 측정할 수 있다는 것과 HEMT 모델링 변수들을 추출하는 과정을 자세하게 제시했다.

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