• 제목/요약/키워드: Modeling Operator

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Intelligent Digital Decentralized Control System for Smart Space (스마트 스페이스 구축을 위한 지능형 디지털 분산 제어 시스템 개발)

  • Joo, Young-Hoon
    • Journal of Institute of Control, Robotics and Systems
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    • v.12 no.1
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    • pp.54-59
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    • 2006
  • The smart space is composed of the wire and/or wireless network, multi-sensor-based environment, and many various controllers. For the smart space, this paper presents a new design method of multirate digital decentralized controller using the intelligent digital redesign technique. In specific, the proposed method is based on the delta-operator and the multirate sampling and takes the form of the LMIs. To shows the feasibility of the suggested method, the computer simulations for Heating, ventilating, and ai. conditioning (HVAC) system are provided.

Analysis on a Power Transaction with Fuel-Constrained Generations in an Electricity Market (연료제약 발전기를 고려한 전력거래 해석기법 연구)

  • 이광호
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.53 no.8
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    • pp.484-489
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    • 2004
  • When the energy resource available to a particular plant (be it coal, oil, gas, water, or nuclear fuel) is a limiting factor in the operation of the plant, the entire economic dispatch calculation must be done differently. Each economic dispatch calculation must account for what happened before and what will happen in the future. This paper presents a formulation and a solution method for the optimization problem with a fuel constraint in a competitive electricity market. Take-or- Pay (TOP) contract for an energy resource is the typical constraint as a limiting factor. Two approaches are proposed in this paper for modeling the dispatch calculation in a market mechanism. The approaches differ in the subject who considers and inserts the fuel-constraint into its optimization problem. Market operator and each power producer having a TOP contract are assumed as such subjects. The two approaches are compared from the viewpoint of profits. surplus. and social welfare on the basis of Nash Equilibrium.

Development of the Aircraft CO2 Measurement Data Assimilation System to Improve the Estimation of Surface CO2 Fluxes Using an Inverse Modeling System (인버스 모델링을 이용한 지표면 이산화탄소 플럭스 추정 향상을 위한 항공기 관측 이산화탄소 자료동화 체계 개발)

  • Kim, Hyunjung;Kim, Hyun Mee;Cho, Minkwang;Park, Jun;Kim, Dae-Hui
    • Atmosphere
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    • v.28 no.2
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    • pp.113-121
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    • 2018
  • In order to monitor greenhouse gases including $CO_2$, various types of surface-, aircraft-, and satellite-based measurement projects have been conducted. These data help understand the variations of greenhouse gases and are used in atmospheric inverse modeling systems to simulate surface fluxes for greenhouse gases. CarbonTracker is a system for estimating surface $CO_2$ flux, using an atmospheric inverse modeling method, based on only surface observation data. Because of the insufficient surface observation data available for accurate estimation of the surface $CO_2$ flux, additional observations would be required. In this study, a system that assimilates aircraft $CO_2$ measurement data in CarbonTracker (CT2013B) is developed, and the estimated results from this data assimilation system are evaluated. The aircraft $CO_2$ measurement data used are obtained from the Comprehensive Observation Network for Trace gases by the Airliner (CONTRAIL) project. The developed system includes the preprocessor of the raw observation data, the observation operator, and the ensemble Kalman filter (EnKF) data assimilation process. After preprocessing the raw data, the modeled value corresponding spatially and temporally to each observation is calculated using the observation operator. These modeled values and observations are then averaged in space and time, and used in the EnKF data assimilation process. The modeled values are much closer to the observations and show smaller biases and root-mean-square errors, after the assimilation of the aircraft $CO_2$ measurement data. This system could also be used to assimilate other aircraft $CO_2$ measurement data in CarbonTracker.

A Study on Feature Point Recognition for 3D Modeling of object image (객체 영상의 3D 모델링을 위한 특징점 인식에 관한 연구)

  • 정윤수;이해원;김진석
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2000.10a
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    • pp.517-521
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    • 2000
  • 본 논문에서는 영상 처리 방법을 이용하여 주어진 객체의 실세계 좌표를 나타내는 특징점을 인식하는 한 방법을 제안한다. 제안된 방법에서는 육면체 형상의 객체를 대상으로 하며, 이러한 객체 영상의 주요한 특징점은 육면체를 결정짓는 꼭지점들로 이루어진다. 제안된 방법은 CCD 카메라로부터 영상을 획득하는 영상 획득 모듈, 획득된 영상에 대하여 관심 영역을 찾는 영상 분할 모듈, 분할된 관심 영역에 대하여 sobel operator등을 이용하여 경계 정보를 검출하는 영상 처리 모듈, 그리고 세선화, line fitting과정을 통하여 직선 벡터들을 검출한 후에 객체의 주요한 특징점을 인식하는 모듈로 구성된다.

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A Full Scale Fossil Power Plant Simulator For Hadong (하동 화력 발전소 전범위 시뮬레이터 개발)

  • 김성호;김종현;조창호
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.204-204
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    • 2000
  • This paper describes the development of training simulator for Hadong fossil Power Plant. The simulator was developed to train operator, test new control Logic and evaluate alternative operating procedure for expert engineer of control system. The most control logics such as Siemens TELEPERM ME and GE Mark V are translated directly from microprocessors. Those HMI are also directly emulated. The simulation was performed by ProTRAX modeling software. The paper discusses the configuration of simulator and the simulation results of 30%, 50%, 75% and 100% normal rate load test.

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A Factored Wide Angle Propagation Technique Applied to Turning Mirror Simulation (인수분해된 광각 빔 전파기법 및 방향전환 거울 해석에의 응용)

  • Youngchul Chung
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 1996.11a
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    • pp.135-138
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    • 1996
  • A wide angle propagation techinque is formulated through an expansion of the Holmholtz operator followed by a Pade expansion and factorization of the resulting polynomials. Its accuracy is checked through the successful modeling of integrated waveguide turning mirrors, indicating that 6-th order polynomial can handle as large as 55$^{\circ}$tilt angle very accurately.

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Development of an Emissions Processing System for Climate Scenario Inventories to Support Global and Asian Air Quality Modeling Studies

  • Choi, Ki-Chul;Lee, Jae-Bum;Woo, Jung-Hun;Hong, Sung-Chul;Park, Rokjin J.;Kim, Minjoong J.;Song, Chang-Keun;Chang, Lim-Seok
    • Asian Journal of Atmospheric Environment
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    • v.11 no.4
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    • pp.330-343
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    • 2017
  • Climate change is an important issue, with many researches examining not only future climatic conditions, but also the interaction of climate and air quality. In this study, a new version of the emissions processing software tool - Python-based PRocessing Operator for Climate and Emission Scenarios (PROCES) - was developed to support climate and atmospheric chemistry modeling studies. PROCES was designed to cover global and regional scale modeling domains, which correspond to GEOS-Chem and CMAQ/CAMx models, respectively. This tool comprises of one main system and two units of external software. One of the external software units for this processing system was developed using the GIS commercial program, which was used to create spatial allocation profiles as an auxiliary database. The SMOKE-Asia emissions modeling system was linked to the main system as an external software, to create model-ready emissions for regional scale air quality modeling. The main system was coded in Python version 2.7, which includes several functions allowing general emissions processing steps, such as emissions interpolation, spatial allocation and chemical speciation, to create model-ready emissions and auxiliary inputs of SMOKE-Asia, as well as user-friendly functions related to emissions analysis, such as verification and visualization. Due to its flexible software architecture, PROCES can be applied to any pregridded emission data, as well as regional inventories. The application results of our new tool for global and regional (East Asia) scale modeling domain under RCP scenario for the years 1995-2006, 2015-2025, and 2040-2055 was quantitatively in good agreement with the reference data of RCPs.

Multi-variable Fuzzy Modeling for Combustion Control of Refuse Incineration Plant (쓰레기 소각 플랜트 연소 제어를 위한 다변수 퍼지 모델링)

  • Park, Jong-Jin;Choi, Gyoo-Seok;Ahn, Ihn-Seok
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.9 no.5
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    • pp.191-197
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    • 2009
  • In this paper, multi-variable fuzzy model for efficient combustion control of refuse incineration plant is obtained. First, to obtain model of incineration plant which is complex and nonlinear multi-variable fuzzy modeling is performed. Obtained multi-variable fuzzy model predicts outputs of incinerator almost exactly. Then using multi-variable fuzzy model we can build simulator which is used as operation simulator for building of control strategy and training of operator.

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Tourism Information Reservation System considering the Security and Efficiency (보안 및 효율성을 고려한 관광 예약 정보 시스템)

  • Kim, Taekyung
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.11 no.2
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    • pp.67-72
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    • 2015
  • As new Information technology such as IoT develops rapidly, a lot of changes are occurred in our lives. The Internet of Things is the network of physical objects or things embedded with electronics, software, sensors and connectivity to enable it to achieve greater value and service by exchanging data with the manufacturer, operator and/or other connected devices. This change is also applied to tourism industry. These days many people make a tour reservation using the internet. But it is required to consider the efficiency and security of tour reservation system. In this paper, we suggest a tour reservation system. First, we describe the computer reservation system, hotel reservation system and reservation system. Second, we perform the modeling of general reservation system and suggested reservation system. Third, performance evaluation is carried out with respect to efficiency and security. The results show that the suggested reservation system has a better performance than a general reservation system. At last we described the results and future works.

Finite difference TVD scheme for modeling two-dimensional advection-dispersion

  • Guan, Y.;Zhang, D.
    • Proceedings of the Korea Water Resources Association Conference
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    • 2006.05a
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    • pp.22-27
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    • 2006
  • This paper describes the development of the stream-tube based dispersion model for modeling contaminant transport in open channels. The operator-splitting technique is employed to separate the 2D contaminant transport equation into the pure advection and pure dispersion equations. Then the total variation diminishing (TVD) schemes are combined with the second-order Lax-Wendroff and third-order QUICKEST explicit finite difference schemes respectively to solve the pure advection equation in order to prevent the occurrence of numerical oscillations. Due to various limiters owning different features, the numerical tests for 1D pure advection and 2D dispersion are conducted to evaluate the performance of different TVD schemes firstly, then the TVD schemes are applied to experimental data for simulating the 2D mixing in a straight trapezoidal channel to test the model capability. Both the numerical tests and model application show that the TVD schemes are very competent for solving the advection-dominated transport problems.

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